                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0015       1       1.     0.61   273    74   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0043       2       2.     1.74   277    25   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0070       3       1.     1.47   276    37   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0098       4       2.     2.04   293     5   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0125       5       2.     2.14   282     5   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0180       7       2.     2.16   283     8   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0207       8       2.     1.72   273    30   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0235       9       2.     2.07   263    20   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0262      10       2.     2.15   292     4   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0289      11       1.     0.93   274    63   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0317      12       1.     1.38   245    52   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0372      14       1.     0.64   247    78   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0399      15       1.     0.57   233    82   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0426      16       1.     1.03   224    69   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0454      17       1.     0.66   230    80   59.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0481      18       2.     2.07   309    14   59.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0509      19       3.     2.51   279     3   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0563      21       2.     2.33   307     5   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0591      22       1.     1.26   352    43   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0618      23       1.     1.04   356    53   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0646      24       1.     1.15   391    43   57.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0673      25       1.     0.75   275    75   57.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0700      26       2.     2.35   286    20   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0755      28       1.     0.91   252    74   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0782      29       3.     2.50   263    26   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0810      30       2.     2.30   252    36   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0837      31       3.     2.73   305     5   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0782      29       1.     0.92   372    60   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0810      30       1.     1.32   370    44   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0865      32       2.     1.62   351    37   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0892      33       1.     1.13   305    63   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0920      34       3.     2.87   296    11   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0947      35       2.     1.61   274    55   55.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.0974      36       0.     0.19   267    95   54.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1002      37       3.     2.78   325     9   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1056      39       1.     0.66   255    84   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1084      40       4.     3.62   272     4   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1111      41       1.     1.02   258    76   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1139      42       2.     2.39   334    26   53.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1166      43       3.     3.24   315     7   52.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1193      44       1.     0.55   363    82   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1248      46       3.     3.00   353     7   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1276      47       1.     0.80   301    80   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1303      48       3.     2.91   320    23   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1330      49       4.     3.70   308     6   50.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1358      50       2.     1.86   263    62   50.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1385      51       1.     0.67   255    87   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1440      53       3.     3.09   317    26   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1468      54       1.     1.30   284    73   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1495      55       4.     3.88   325     7   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1522      56       1.     1.43   356    63   48.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1632      60       1.     1.25   354    70   46.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1659      61       2.     2.17   376    45   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1714      63       4.     3.73   379     5   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1741      64       4.     4.21   336    11   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1769      65       0.     0.16   392    96   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1796      66       3.     2.89   345    39   44.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1824      67       2.     1.59   390    62   44.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1851      68       5.     4.72   332     3   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1906      70       4.     4.17   278    36   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1933      71       1.     0.71   285    89   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1961      72       4.     3.55   388    22   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.1988      73       4.     3.85   423     7   41.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2015      74       4.     4.36   381     9   41.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2043      75       4.     3.95   323    33   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2098      77       1.     1.45   278    80   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2125      78       5.     4.65   329    23   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2152      79       5.     4.95   368     3   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2180      80       1.     1.34   459    68   38.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2207      81       4.     3.52   441    21   38.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2235      82       6.     5.59   337    10   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2289      84       1.     1.11   394    79   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2317      85       3.     2.96   412    42   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2344      86       4.     3.68   450    21   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2372      87       2.     1.92   490    55   36.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2399      88       4.     3.78   425    26   35.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2426      89       4.     3.87   411    28   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2454      90       5.     5.45   379     9   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2481      91       6.     5.51   383     5   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2509      92       6.     5.77   372     7   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2536      93       5.     5.13   353    24   33.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2563      94       5.     5.31   380    15   33.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2591      95       6.     6.09   366     4   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2646      97       5.     4.95   356    29   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2673      98       7.     6.57   352     8   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2700      99       7.     7.31   325     5   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2728     100       8.     7.75   312     6   31.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2755     101       3.     3.50   298    61   30.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2782     102       8.     7.64   294    17   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2837     104       3.     2.76   315    68   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2865     105       7.     7.46   313    15   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2892     106       8.     7.76   302    16   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2920     107       7.     7.36   315    17   28.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2947     108       6.     6.35   277    39   28.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.2974     109       6.     5.99   293    39   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3029     111       2.     2.16   342    74   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3056     112       2.     2.48   374    67   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3084     113       7.     6.83   320    25   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3111     114       8.     7.58   350     8   25.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3139     115       7.     6.66   393     5   25.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3166     116       7.     6.55   401     4   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3221     118       1.     1.11   370    86   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3248     119       3.     2.94   346    66   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3303     121       8.     7.92   347     9   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3330     122       8.     8.41   335     7   23.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3358     123       8.     8.39   337     8   23.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3385     124       9.     8.82   325     5   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3440     126       4.     4.26   343    53   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3467     127       3.     2.85   349    68   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3495     128       6.     6.37   401    16   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3522     129       7.     7.49   376     9   21.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3550     130       7.     7.31   353    18   20.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3577     131       5.     5.45   363    37   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3632     133       6.     5.78   407    24   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3659     134       7.     6.53   393    18   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3687     135       8.     7.57   334    22   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3714     136       5.     5.50   332    44   19.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3741     137       9.     8.82   340     6   19.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3769     138       2.     2.49   330    75   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3824     140       8.     7.75   339    20   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3851     141       7.     6.92   338    29   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3878     142       7.     6.84   330    32   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3906     143       4.     4.26   309    61   17.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3933     144       1.     1.50   334    85   17.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.3961     145       8.     7.96   377     4   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4015     147       5.     5.16   332    49   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4043     148       7.     6.77   320    36   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4070     149      10.     9.52   327     6   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4098     150      10.     9.67   320     9   16.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4125     151      10.    10.11   312     6   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4125     151      10.    10.03   305    11   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4180     153       2.     2.06   288    83   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4207     154      10.     9.57   328     6   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4235     155      10.     9.92   318     8   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4262     156       8.     7.89   307    30   15.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4289     157       2.     2.34   285    81   15.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4317     158       4.     3.70   301    68   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4372     160       7.     6.66   299    43   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4399     161       7.     7.13   351    26   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4426     162       7.     7.01   320    35   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4454     163      10.     9.74   319    10   15.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4481     164       7.     7.39   368    19   15.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4509     165       9.     9.13   334    11   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4563     167       8.     7.61   326    28   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4591     168       3.     3.48   302    70   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4618     169       7.     7.35   316    33   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4646     170      10.     9.67   328     6   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4673     171       5.     5.45   318    50   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4700     172      10.     9.66   319    11   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4755     174      10.     9.78   325     6   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4782     175      10.     9.69   327     8   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4810     176      10.     9.79   324     8   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4837     177       8.     7.90   323    26   14.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4865     178       9.     9.04   327    14   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4892     179      10.     9.67   312    13   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.4974     182       5.     5.50   288    55   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5002     183       9.     8.53   285    31   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5029     184      10.     9.67   296    18   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5056     185      11.    10.56   303     7   15.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5084     186      10.    10.47   305     6   15.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5111     187      10.    10.12   313     8   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5166     189       7.     7.39   327    29   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5194     190       6.     5.83   312    47   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5221     191       7.     7.46   312    32   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5248     192       2.     2.25   292    81   16.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5276     193       3.     2.95   293    75   16.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5303     194       8.     8.03   296    31   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5358     196      10.    10.13   309     8   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5385     197      10.     9.97   313     7   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5413     198       9.     9.28   316    13   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5440     199       9.     9.19   321    12   17.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5468     200       9.     9.03   322    13   17.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5495     201       9.     8.65   317    18   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5550     203       9.     8.88   309    18   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5577     204       8.     8.02   315    24   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5604     205       8.     7.63   313    28   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5632     206       4.     4.31   314    59   18.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5659     207       8.     7.50   334    23   18.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5687     208       9.     8.89   314    15   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5741     210       8.     7.85   312    25   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5769     211       8.     7.98   317    22   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5796     212       6.     5.73   311    45   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5824     213       3.     2.50   299    77   20.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5851     214       9.     8.86   330     8   20.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5878     215       5.     5.23   307    50   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5933     217       8.     8.33   328    13   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5961     218       3.     3.13   329    67   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.5988     219       6.     6.04   299    43   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6015     220       7.     6.67   294    38   22.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6043     221       7.     7.21   300    31   22.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6098     223       4.     4.41   290    59   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6125     224       8.     7.62   303    25   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6152     225       5.     4.54   292    57   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6180     226       9.     8.80   304    12   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6207     227       7.     6.57   315    31   24.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6235     228       7.     6.88   305    30   24.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6289     230       2.     2.40   287    77   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6317     231       4.     3.67   284    65   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6344     232       8.     7.91   309    16   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6372     233       8.     8.30   307    12   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6399     234       7.     7.33   319    18   26.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6426     235       3.     3.19   297    67   27.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6481     237       8.     8.22   310     9   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6509     238       8.     8.37   306     8   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6536     239       7.     7.05   309    21   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6563     240       5.     4.52   288    53   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6591     241       4.     4.45   300    51   29.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6618     242       6.     6.09   301    32   29.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6646     243       5.     5.07   296    44   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6673     244       6.     6.46   296    28   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6700     245       6.     6.26   298    29   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6728     246       8.     8.01   299     6   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6755     247       6.     6.23   301    27   31.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6782     248       7.     6.58   311    19   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6837     250       7.     7.11   319     7   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6865     251       5.     4.52   309    43   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6892     252       6.     6.40   304    20   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6920     253       7.     7.09   302    11   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6947     254       7.     7.23   303     6   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.6974     255       7.     6.76   311    10   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7029     257       7.     6.92   296    11   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7056     258       2.     2.10   293    73   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7084     259       7.     7.05   294     6   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7111     260       6.     5.92   296    21   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7139     261       7.     6.69   300     8   37.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7166     262       6.     6.49   305     6   37.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7221     264       6.     6.18   310     8   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7248     265       6.     6.25   304     4   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7276     266       6.     6.24   301     3   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7303     267       6.     6.20   299     3   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7330     268       5.     5.22   290    24   39.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7358     269       4.     3.89   301    40   40.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7413     271       6.     5.82   300     5   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7440     272       6.     5.94   291     7   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7495     274       5.     5.38   279    18   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7522     275       6.     5.96   268    12   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7577     277       6.     5.79   275     9   43.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7632     279       5.     5.49   272    12   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7659     280       4.     4.22   269    32   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7687     281       2.     2.28   286    60   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7714     282       1.     0.72   270    88   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7741     283       2.     1.55   276    73   45.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7769     284       2.     1.56   279    72   46.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7824     286       2.     1.82   280    66   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7851     287       4.     3.67   284    29   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7878     288       3.     2.68   285    47   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7906     289       3.     3.25   272    38   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7933     290       4.     3.95   258    28   48.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.7961     291       5.     4.85   263     6   48.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8015     293       4.     4.29   284     3   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8043     294       4.     4.13   289     5   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8070     295       2.     2.05   280    55   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8098     296       1.     0.85   292    80   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8125     297       2.     1.89   303    53   50.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8152     298       3.     3.23   337     7   51.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8207     300       3.     3.33   317     8   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8235     301       3.     2.77   303    26   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8262     302       3.     2.89   315    18   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8289     303       1.     1.22   297    67   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8317     304       2.     2.00   268    51   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8317     304       1.     1.32   272    67   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8372     306       3.     3.47   270    11   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8399     307       3.     2.85   266    27   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8426     308       3.     2.89   246    31   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8454     309       4.     3.87   241     3   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8481     310       1.     0.90   234    79   54.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8509     311       2.     2.17   275    38   55.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8563     313       3.     3.15   273     4   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8591     314       3.     2.90   289     8   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8618     315       1.     0.59   301    80   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8646     316       2.     2.49   306    13   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8673     317       3.     2.88   279     3   56.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8700     318       2.     2.09   264    36   57.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8755     320       2.     1.61   279    46   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8782     321       3.     2.80   270     6   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8810     322       3.     2.58   287     5   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8837     323       3.     2.51   290     8   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8865     324       2.     2.20   275    23   58.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8892     325       2.     1.68   268    42   58.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8947     327       2.     1.73   345    19   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.8974     328       2.     2.27   300     4   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9002     329       1.     0.69   266    75   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9029     330       0.     0.39   264    86   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9056     331       2.     2.18   301     5   59.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9084     332       2.     2.18   288    11   59.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9166     335       2.     2.06   305     5   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9194     336       2.     1.74   314    19   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9221     337       2.     1.76   345     8   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9248     338       1.     0.58   329    71   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9276     339       1.     0.79   291    65   60.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9303     340       1.     0.60   265    76   60.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9358     342       0.     0.17   268    93   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9385     343       0.     0.34   266    86   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9413     344       0.     0.49   276    79   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9440     345       2.     1.89   308     4   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9468     346       2.     1.52   375     7   61.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9495     347       1.     1.27   324    34   61.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9550     349       1.     1.45   336    21   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9577     350       1.     1.18   343    34   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9604     351       1.     0.99   369    40   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9632     352       2.     1.50   372     6   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9659     353       2.     1.72   328     4   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9687     354       1.     0.92   306    54   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9741     356       1.     0.59   255    76   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9769     357       1.     0.58   258    76   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9796     358       1.     0.97   317    50   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9824     359       2.     1.76   321     5   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9851     360       2.     1.64   326    13   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9878     361       2.     1.84   310     3   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9933     363       0.     0.26   268    89   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9961     364       1.     0.58   284    74   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2013.9988     365       2.     1.64   328    14   61.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0015       1       2.     1.67   346     7   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0043       2       1.     0.55   314    73   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0070       3       1.     1.29   332    33   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0125       5       1.     1.01   309    52   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0152       6       1.     0.57   309    73   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0180       7       2.     1.73   330    13   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0207       8       2.     2.04   302     5   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0235       9       2.     1.54   310    29   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0262      10       0.     0.43   288    82   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0317      12       2.     1.98   322     6   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0344      13       2.     2.16   300     5   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0372      14       0.     0.29   272    89   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0399      15       2.     1.72   282    33   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0426      16       1.     0.92   335    57   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0454      17       2.     1.97   340     6   59.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0509      19       2.     1.77   385     4   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0536      20       2.     2.32   300     9   58.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0563      21       0.     0.26   350    88   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0591      22       1.     1.49   372    28   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0618      23       1.     1.19   338    49   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0646      24       1.     1.38   425    25   57.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0700      26       2.     1.80   344    25   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0728      27       1.     1.47   306    47   57.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0755      28       2.     1.59   284    48   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0782      29       2.     2.07   289    32   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0810      30       2.     2.33   284    26   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0837      31       3.     2.57   258    28   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0810      30       3.     2.62   262    24   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0837      31       1.     0.52   267    85   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0865      32       2.     1.62   265    54   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0892      33       1.     0.88   268    75   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0920      34       2.     2.15   285    36   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.0947      35       2.     2.26   288    33   55.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1002      37       1.     1.49   355    46   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1029      38       1.     1.33   333    56   54.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1056      39       2.     2.35   366    15   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1084      40       1.     1.18   351    60   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1111      41       1.     1.05   403    59   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1139      42       3.     2.57   381     4   53.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1194      44       2.     2.45   410     5   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1221      45       3.     2.75   368    10   52.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1248      46       3.     2.82   373     7   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1276      47       3.     2.66   360    18   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1303      48       2.     2.45   321    35   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1330      49       2.     1.57   322    59   50.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1385      51       3.     3.31   351     6   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1413      52       3.     3.17   370     3   49.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1440      53       1.     0.72   362    80   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1468      54       1.     1.25   387    63   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1495      55       3.     2.93   415     7   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1522      56       4.     3.61   351     7   48.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1659      61       4.     4.39   310    11   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1687      62       0.     0.49   315    90   46.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1714      63       2.     2.32   343    49   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1741      64       2.     2.28   341    51   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1769      65       4.     3.56   324    29   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1796      66       1.     0.80   347    83   44.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1851      68       4.     4.17   369     6   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1878      69       1.     0.96   325    82   43.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1906      70       4.     4.39   315    22   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1933      71       1.     1.41   307    76   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1961      72       4.     3.74   428     3   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.1988      73       5.     4.80   350     4   41.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2043      75       2.     2.35   338    58   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2070      76       1.     1.25   311    80   40.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2098      77       4.     3.73   326    38   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2125      78       3.     3.26   308    50   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2152      79       5.     4.85   370     9   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2180      80       4.     3.81   377    28   38.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2235      82       2.     2.14   316    68   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2262      83       5.     5.13   374     4   37.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2289      84       1.     1.14   372    80   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2317      85       2.     1.78   290    77   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2344      86       5.     5.40   349    14   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2372      87       3.     2.55   311    65   36.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2426      89       2.     1.99   335    71   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2454      90       6.     6.04   328    15   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2454      90       5.     4.84   315    35   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2481      91       7.     6.56   331     6   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2509      92       5.     5.35   307    32   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2536      93       5.     5.34   299    35   33.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2591      95       6.     6.42   350     5   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2618      96       1.     1.29   313    84   32.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2646      97       3.     3.33   300    61   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2673      98       6.     5.67   399     6   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2700      99       7.     6.52   358     4   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2728     100       6.     5.56   347    25   31.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2783     102       7.     6.90   346     9   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2810     103       7.     7.44   318    12   29.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2837     104       2.     1.56   284    84   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2865     105       7.     7.41   337     4   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2892     106       6.     5.70   336    30   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2920     107       5.     4.94   321    43   28.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.2974     109       8.     7.67   330    10   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3002     110       8.     7.58   342     5   27.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3029     111       8.     7.72   339     5   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3056     112       6.     6.05   391    15   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3084     113       8.     8.01   333     5   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3111     114       8.     7.84   331    11   25.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3166     116       8.     7.60   354     6   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3194     117       4.     3.61   337    59   24.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3221     118       2.     2.13   325    77   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3248     119       3.     3.40   306    66   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3303     121       5.     4.55   306    55   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3330     122       7.     6.69   307    34   23.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3385     124       7.     7.27   350    17   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3413     125       7.     7.42   349    16   22.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3440     126       8.     8.41   341     4   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3468     127       2.     1.94   326    80   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3495     128       8.     7.70   339    17   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3522     129       7.     6.69   312    35   21.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3577     131       9.     8.69   338     6   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3604     132       9.     8.96   327     9   20.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3632     133       8.     8.04   326    19   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3659     134       4.     3.91   338    59   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3687     135       8.     8.16   314    22   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3714     136       3.     2.92   297    74   19.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3769     138       7.     6.98   391    14   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3796     139       8.     7.61   379    10   18.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3824     140       7.     7.34   355    20   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3851     141       7.     6.78   336    31   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3878     142       8.     8.22   341    15   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3906     143       8.     8.18   350    13   17.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3961     145       8.     7.98   369    10   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.3988     146       9.     8.58   348    10   17.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4015     147       9.     8.52   341    13   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4043     148       7.     6.60   327    36   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4070     149       2.     2.05   329    80   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4098     150       6.     5.63   330    45   16.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4125     151      10.     9.66   324     5   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4152     152      10.     9.75   322     6   16.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4180     153       9.     9.47   324    10   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4207     154       9.     9.01   319    16   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4235     155       7.     7.27   332    29   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4262     156      10.     9.80   322     6   15.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4317     158      10.     9.94   319     7   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4344     159       6.     6.12   311    45   15.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4372     160       7.     7.18   305    37   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4399     161       7.     7.22   320    33   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4426     162       2.     2.34   286    81   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4454     163       9.     8.96   323    16   15.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4509     165      10.     9.70   327     6   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4536     166       9.     8.98   326    15   15.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4563     167      10.     9.58   327     9   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4591     168      10.     9.92   321     7   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4618     169       9.     8.81   315    20   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4646     170      10.     9.89   322     5   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4700     172       9.     8.73   324    18   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4728     173      10.     9.51   329     9   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4755     174      10.     9.78   325     6   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4782     175       8.     8.16   311    27   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4810     176       8.     8.18   321    24   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4837     177       6.     6.41   323    40   14.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4892     179      10.     9.72   326     7   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4920     180      10.     9.56   318    12   15.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.4974     182      10.     9.72   316    11   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5002     183      10.     9.97   318     8   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5029     184      10.    10.13   314     6   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5057     185       7.     6.83   292    43   15.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5111     187       9.     9.49   312    14   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5139     188       9.     9.41   320    12   15.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5166     189      10.     9.84   320     6   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5194     190       4.     3.86   296    67   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5221     191       4.     4.13   294    65   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5248     192       7.     7.34   339    26   16.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5303     194      10.     9.65   305    14   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5330     195       9.     9.03   303    20   16.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5358     196       8.     8.19   311    25   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5385     197       7.     7.31   307    34   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5413     198       8.     8.14   322    22   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5440     199      10.     9.63   321     5   17.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5495     201       5.     4.57   321    56   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5522     202       8.     7.56   314    29   17.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5550     203       9.     8.99   318    14   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5577     204      10.     9.65   317     7   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5604     205       5.     5.21   312    51   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5632     206       9.     9.45   321     5   18.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5687     208       4.     3.74   301    66   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5714     209       7.     7.11   336    26   19.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5741     210       8.     7.51   345    19   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5769     211       8.     8.47   343     9   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5796     212       8.     8.21   325    17   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5824     213       3.     2.88   295    74   20.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5878     215       5.     5.35   296    51   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5906     216       8.     7.92   310    23   21.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5933     217       9.     8.81   319    11   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5961     218       6.     5.87   321    40   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.5988     219       8.     8.27   343     8   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6015     220       5.     4.70   296    56   22.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6070     222       8.     8.27   320    14   22.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6098     223       7.     6.82   304    33   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6125     224       2.     2.15   289    80   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6152     225       8.     7.82   321    17   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6180     226       9.     8.80   316     5   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6207     227       8.     8.33   329     4   24.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6262     229       6.     6.44   317    31   25.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6289     230       6.     6.28   310    34   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6317     231       6.     6.36   305    34   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6344     232       9.     8.72   308     4   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6372     233       7.     7.15   304    25   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6399     234       5.     4.75   293    52   26.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6454     236       8.     8.04   309    12   27.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6481     237       9.     8.62   301     5   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6509     238       9.     8.52   302     4   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6536     239       8.     8.41   300     9   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6563     240       9.     8.65   294     7   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6591     241       8.     8.41   290    11   29.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6645     243       8.     8.21   300     6   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6645     243       8.     7.83   289    16   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6673     244       8.     7.93   295    12   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6700     245       7.     7.16   288    22   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6728     246       8.     8.09   288    11   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6755     247       5.     4.70   287    48   31.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6810     249       4.     4.06   293    53   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6837     250       1.     1.43   282    84   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6865     251       2.     2.36   294    72   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6892     252       6.     6.31   288    26   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6920     253       7.     7.49   269    18   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.6947     254       5.     4.81   272    46   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7002     256       7.     7.23   283    13   35.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7029     257       8.     7.53   284     6   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7057     258       6.     6.15   299    19   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7084     259       6.     6.47   307    11   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7111     260       4.     3.64   308    49   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7139     261       4.     4.25   307    40   37.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7194     263       3.     3.45   286    54   37.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7221     264       7.     6.69   290     8   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7248     265       4.     3.89   284    47   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7276     266       2.     2.05   273    73   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7303     267       2.     2.48   279    66   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7331     268       5.     5.08   280    29   39.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7385     270       6.     6.11   272    15   40.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7413     271       3.     2.87   263    61   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7440     272       6.     5.52   283    17   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7495     274       4.     3.72   301    38   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7522     275       4.     3.58   294    41   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7550     276       5.     4.82   286    22   43.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7604     278       5.     5.00   311     5   43.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7632     279       5.     5.17   298     4   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7659     280       3.     3.43   305    36   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7687     281       5.     4.96   300     4   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7714     282       5.     5.01   293     6   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7741     283       1.     1.01   268    83   45.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7796     285       4.     3.92   273    30   46.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7824     286       2.     1.67   271    70   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7851     287       4.     4.33   261    24   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7878     288       2.     1.52   251    74   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7906     289       4.     4.11   286    17   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7933     290       5.     4.67   276     5   48.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.7988     292       4.     3.55   323    13   49.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8015     293       3.     3.26   298    26   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8043     294       4.     3.62   299    16   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8070     295       1.     1.02   310    75   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8098     296       2.     1.63   284    63   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8125     297       4.     3.79   291    10   50.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8180     299       4.     3.69   295     5   51.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8207     300       4.     3.89   277     3   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8235     301       4.     3.95   258    12   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8262     302       3.     2.63   271    37   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8289     303       2.     1.89   265    55   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8317     304       2.     2.15   251    51   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8344     305       2.     2.46   320    25   53.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8372     306       4.     3.63   268     5   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8399     307       2.     2.11   261    47   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8426     308       2.     1.69   255    58   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8454     309       1.     1.02   282    71   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8481     310       2.     2.23   315    27   54.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8536     312       2.     1.72   261    53   55.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8563     313       3.     3.12   275     5   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8591     314       2.     2.15   257    40   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8618     315       3.     3.08   270     7   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8645     316       1.     1.08   256    69   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8673     317       3.     2.55   289    15   56.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8728     319       1.     1.05   267    67   57.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8755     320       1.     0.75   257    77   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8782     321       3.     2.74   262    13   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8810     322       2.     2.28   322     4   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8837     323       2.     2.21   327     7   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8865     324       2.     2.20   317    10   58.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8919     326       2.     2.16   263    26   58.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8947     327       3.     2.71   258     4   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.8974     328       0.     0.46   246    85   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9002     329       0.     0.09   248    97   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9029     330       1.     1.17   334    45   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9056     331       2.     1.72   336    18   59.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9111     333       2.     2.42   268     6   60.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9166     335       2.     2.37   264     9   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9193     336       0.     0.24   282    90   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9221     337       1.     0.72   316    66   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9248     338       1.     1.50   321    27   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9276     339       1.     0.78   289    66   60.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9331     341       2.     1.73   321    14   61.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9358     342       1.     0.53   304    75   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9385     343       1.     0.81   300    62   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9413     344       1.     1.01   319    49   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9440     345       2.     1.69   323    13   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9468     346       1.     0.73   302    65   61.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9522     348       1.     0.79   278    65   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9550     349       1.     1.24   276    45   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9577     350       1.     1.13   276    50   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9605     351       2.     2.04   280     5   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9632     352       2.     1.83   291    14   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9659     353       1.     0.68   299    67   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9714     355       2.     1.89   299     8   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9741     356       0.     0.44   279    80   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9769     357       1.     0.71   286    67   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9796     358       1.     0.74   268    68   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9824     359       2.     1.90   300     6   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9851     360       2.     2.13   270     5   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9906     362       1.     0.90   251    64   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9933     363       1.     0.52   266    78   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9961     364       2.     1.65   286    25   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2014.9988     365       2.     1.62   314    19   61.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0015       1       2.     1.84   309    10   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0043       2       1.     0.89   294    59   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0098       4       1.     0.75   293    66   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0125       5       2.     1.87   319     4   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0152       6       1.     0.90   338    53   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0180       7       1.     1.12   334    43   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0207       8       1.     1.43   389    15   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0235       9       2.     2.15   289     7   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0289      11       2.     2.18   291     5   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0317      12       0.     0.31   274    88   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0344      13       1.     1.24   289    49   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0372      14       1.     0.71   311    69   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0399      15       2.     1.67   324    24   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0426      16       2.     1.92   345     5   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0481      18       0.     0.15   299    94   59.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0509      19       1.     1.47   349    31   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0536      20       2.     1.78   340    20   58.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0563      21       0.     0.50   353    77   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0591      22       1.     1.43   337    38   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0618      23       2.     1.90   322    23   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0673      25       2.     1.86   357    18   57.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0700      26       1.     0.65   365    71   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0728      27       1.     0.52   410    74   57.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0755      28       1.     1.07   420    46   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0783      29       1.     1.32   329    50   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0810      30       1.     1.42   330    47   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0783      29       1.     1.49   290    51   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0810      30       0.     0.48   314    83   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0837      31       2.     2.31   355     4   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0865      32       2.     2.44   338     9   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0892      33       2.     1.81   364    28   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0919      34       2.     2.31   371     5   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.0974      36       3.     2.62   294    22   54.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1002      37       1.     0.94   290    73   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1029      38       1.     1.23   291    65   54.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1056      39       2.     2.21   300    36   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1084      40       1.     0.60   316    82   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1111      41       2.     1.72   361    41   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1166      43       2.     2.04   424    19   52.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1193      44       2.     1.97   315    45   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1221      45       2.     2.00   315    45   52.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1248      46       2.     1.92   400    32   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1276      47       1.     0.98   510    55   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1303      48       2.     1.76   441    33   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1358      50       2.     1.60   348    55   50.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1385      51       1.     1.44   358    59   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1413      52       2.     2.39   400    24   49.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1440      53       2.     2.38   375    31   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1467      54       1.     1.11   337    72   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1495      55       2.     1.80   326    57   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1632      60       1.     0.50   325    89   46.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1659      61       3.     2.51   358    40   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1687      62       2.     1.57   307    69   46.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1714      63       1.     1.09   268    82   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1741      64       1.     0.98   268    84   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1769      65       4.     3.66   320    28   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1824      67       4.     4.17   326    19   44.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1851      68       4.     4.11   338    18   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1878      69       2.     2.03   295    66   43.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1906      70       2.     2.43   282    62   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1933      71       5.     5.19   319     4   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.1961      72       4.     4.06   323    28   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2015      74       3.     3.15   417    27   41.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2043      75       5.     4.78   350    11   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2070      76       3.     2.97   320    51   40.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2098      77       6.     5.72   311    10   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2125      78       5.     4.71   293    32   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2152      79       1.     0.79   287    89   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2207      81       5.     4.59   322    29   38.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2235      82       6.     5.81   329     9   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2262      83       3.     2.82   332    56   37.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2289      84       3.     3.06   343    51   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2317      85       1.     1.50   310    79   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2344      86       1.     0.79   311    89   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2399      88       6.     5.56   369     6   35.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2426      89       6.     6.21   311    17   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2454      90       6.     5.75   366     7   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2454      90       6.     5.59   375     3   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2481      91       7.     7.14   308     6   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2509      92       4.     3.67   320    51   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2563      94       6.     6.14   360     5   33.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2591      95       7.     6.64   340     5   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2618      96       2.     2.18   321    72   32.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2645      97       2.     1.68   330    78   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2673      98       2.     1.79   327    77   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2700      99       5.     4.96   305    42   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2755     101       7.     6.87   348     5   30.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2783     102       7.     7.07   339     9   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2810     103       1.     1.44   302    84   29.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2837     104       6.     5.72   306    36   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2865     105       8.     8.48   301     6   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2892     106       7.     6.50   315    26   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2947     108       7.     7.31   306    21   28.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.2974     109       6.     6.06   310    34   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3002     110       8.     7.83   333     5   27.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3029     111       7.     7.36   353     4   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3057     112       5.     5.20   382    29   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3084     113       6.     6.21   400    11   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3139     115       6.     6.02   360    25   25.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3166     116       4.     3.86   393    47   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3193     117       7.     6.65   390    10   24.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3221     118       6.     6.38   414     7   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3248     119       4.     3.94   392    47   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3303     121       3.     2.56   382    67   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3358     123       8.     7.69   359     9   23.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3385     124       8.     7.75   355    10   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3413     125       8.     8.20   337    11   22.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3440     126       7.     6.82   346    24   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3467     127       8.     7.51   331    21   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3495     128       9.     8.88   319    11   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3550     130       8.     8.18   305    23   20.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3577     131       4.     4.32   289    62   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3604     132       9.     9.24   310    12   20.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3632     133       7.     6.54   343    30   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3659     134       9.     8.64   343     5   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3687     135       8.     8.37   353     4   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3741     137       7.     6.54   326    35   19.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3769     138       8.     7.61   332    23   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3796     139       8.     7.84   321    24   18.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3824     140      10.     9.52   321     8   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3851     141       2.     1.59   298    86   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3878     142       9.     8.61   351     7   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3933     144       9.     9.15   335     5   17.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3961     145       9.     9.47   320    10   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.3988     146       8.     8.31   324    20   17.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4015     147       9.     9.44   325     9   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4043     148       8.     8.30   322    21   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4070     149       8.     8.48   330    17   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4125     151       9.     9.33   333     8   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4125     151       8.     7.52   329    27   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4152     152       2.     2.21   323    79   16.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4180     153       2.     2.38   329    77   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4207     154       2.     2.29   340    77   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4235     155       4.     3.60   354    62   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4289     157       8.     7.67   348    21   15.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4317     158       9.     9.39   331     9   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4344     159       9.     9.36   329    10   15.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4372     160       9.     8.66   348    11   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4399     161       9.     8.98   338    11   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4426     162       9.     9.31   322    13   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4481     164       9.     8.78   309    22   15.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4509     165       9.     8.61   304    25   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4536     166      10.    10.08   299    14   15.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4563     167       9.     9.46   303    18   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4591     168       8.     8.28   304    28   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4618     169       6.     6.42   300    45   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4673     171      10.     9.91   321     8   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4700     172       9.     9.41   326    11   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4728     173       9.     9.07   314    18   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4755     174       9.     8.95   311    20   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4782     175       9.     8.63   327    18   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4810     176       7.     6.50   328    38   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4865     178       7.     7.23   328    31   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4892     179      10.     9.72   326     5   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4919     180      10.     9.71   326     7   15.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.4974     182       9.     9.31   337     8   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5002     183       3.     3.00   302    74   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5029     184       8.     8.10   315    26   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5084     186       9.     9.25   319    14   15.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5111     187       9.     9.09   311    18   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5139     188      10.     9.73   323     8   15.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5166     189       7.     6.54   306    42   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5193     190       9.     9.00   303    21   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5221     191      10.    10.16   311     4   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5276     193       9.     8.75   325    16   16.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5303     194       4.     4.00   329    61   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5331     195       6.     5.77   322    45   16.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5358     196       4.     3.84   332    62   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5385     197       6.     5.90   334    41   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5413     198      10.     9.64   315    10   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5467     200       9.     9.06   312    16   17.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5495     201       8.     8.05   316    24   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5522     202       5.     5.12   308    53   17.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5550     203      10.     9.71   316     4   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5577     204      10.     9.68   316     7   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5604     205       9.     8.99   332     9   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5659     207      10.     9.61   315     8   18.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5687     208       6.     6.11   321    40   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5714     209       8.     8.24   317    20   19.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5741     210       7.     7.37   314    29   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5769     211       8.     7.68   306    28   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5796     212      10.     9.53   313     6   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5851     214       8.     8.33   322    16   20.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5878     215       9.     8.76   329     9   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5906     216       8.     8.46   328    12   21.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5933     217       9.     8.61   322    12   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5961     218       7.     6.73   318    32   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.5988     219       3.     2.67   307    74   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6043     221       7.     7.36   316    25   22.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6070     222       3.     3.07   295    71   22.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6098     223       8.     7.56   296    28   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6125     224       8.     8.27   317    14   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6152     225       8.     8.08   331    11   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6180     226       8.     8.34   330     8   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6235     228       9.     8.89   310     7   24.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6262     229       8.     8.41   323     4   25.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6289     230       7.     6.89   312    27   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6317     231       8.     8.13   307    15   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6344     232       5.     4.86   291    52   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6372     233       8.     7.98   305    16   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6426     235       8.     7.83   306    16   27.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6454     236       8.     8.32   309     9   27.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6481     237       7.     6.80   302    27   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6509     238       8.     8.10   306    11   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6536     239       7.     7.33   302    20   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6563     240       8.     7.75   313    11   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6618     242       7.     6.77   299    25   29.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6645     243       4.     4.37   300    51   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6645     243       7.     6.96   306    20   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6673     244       6.     5.97   309    30   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6700     245       7.     6.51   312    22   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6728     246       7.     6.93   303    19   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6783     248       7.     7.46   300    12   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6810     249       8.     7.52   301    10   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6837     250       8.     7.59   302     5   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6865     251       7.     7.39   300    10   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6892     252       3.     3.41   294    59   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6919     253       4.     4.29   303    46   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.6974     255       2.     2.47   304    68   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7002     256       7.     6.92   308     3   35.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7029     257       7.     7.34   290     4   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7057     258       7.     7.28   289     6   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7084     259       7.     6.84   287    13   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7111     260       7.     7.16   287     4   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7166     262       4.     4.39   295    40   37.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7193     263       3.     2.80   290    62   37.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7221     264       4.     3.67   283    51   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7248     265       7.     6.63   278    12   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7276     266       6.     5.79   275    23   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7303     267       3.     2.55   259    68   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7358     269       4.     4.00   281    43   40.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7385     270       5.     5.00   277    29   40.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7413     271       5.     4.55   271    36   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7440     272       4.     3.84   272    45   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7495     274       1.     1.03   269    85   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7522     275       1.     0.71   257    90   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7577     277       3.     2.60   264    61   43.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7605     278       4.     3.92   265    40   43.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7632     279       6.     5.55   280     5   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7659     280       5.     4.51   280    24   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7687     281       4.     3.99   289    29   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7714     282       5.     4.59   301    13   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7769     284       5.     4.68   302     2   46.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7796     285       5.     4.69   297     4   46.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7824     286       4.     4.37   293    14   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7851     287       3.     3.24   301    33   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7878     288       4.     4.36   302     4   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7906     289       2.     1.60   299    66   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7961     291       3.     2.51   376    28   48.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.7988     292       4.     3.93   311     4   49.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8015     293       4.     3.95   305     4   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8043     294       4.     4.08   292     3   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8070     295       4.     4.20   272    11   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8098     296       4.     4.23   274     5   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8152     298       2.     2.33   253    52   51.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8180     299       3.     2.56   266    43   51.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8207     300       1.     1.49   261    67   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8235     301       1.     0.76   245    84   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8262     302       3.     2.94   259    33   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8289     303       3.     3.22   312     3   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8317     304       2.     1.80   245    60   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8344     305       1.     0.54   242    88   53.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8372     306       4.     3.90   251     5   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8399     307       4.     3.96   244     4   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8426     308       2.     1.88   232    58   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8454     309       4.     3.87   227    14   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8509     311       2.     2.04   265    44   55.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8536     312       2.     1.71   247    56   55.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8563     313       2.     1.79   252    52   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8591     314       2.     1.65   242    57   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8618     315       2.     1.52   235    61   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8645     316       3.     3.13   262     6   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8700     318       3.     2.66   295     4   57.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8728     319       3.     2.64   293     4   57.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8755     320       2.     2.28   277    24   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8783     321       1.     1.37   254    58   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8810     322       1.     0.66   259    79   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8837     323       3.     2.60   282     3   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8892     325       0.     0.30   259    90   58.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8919     326       2.     2.17   307    12   58.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8947     327       2.     2.18   301    12   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.8974     328       3.     2.50   274     7   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9002     329       3.     2.58   263     5   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9029     330       2.     2.47   260    12   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9084     332       0.     0.41   258    85   59.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9111     333       1.     0.56   265    79   60.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9166     335       1.     0.84   263    68   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9193     336       1.     0.62   245    78   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9221     337       2.     1.65   285    30   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9248     338       2.     2.17   283     5   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9303     340       2.     2.15   281     6   60.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9331     341       1.     0.77   286    66   61.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9358     342       2.     2.05   290     5   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9385     343       2.     1.89   298    12   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9413     344       2.     1.87   299    12   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9440     345       1.     1.40   302    33   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9495     347       1.     1.41   264    41   61.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9522     348       2.     1.56   258    36   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9550     349       2.     2.22   260     5   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9577     350       2.     1.57   255    36   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9605     351       0.     0.47   238    82   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9632     352       1.     0.88   249    65   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9687     354       2.     2.06   277     4   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9714     355       1.     1.34   264    43   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9741     356       1.     0.59   263    75   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9769     357       1.     0.65   258    73   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9796     358       1.     0.67   242    74   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9824     359       2.     1.69   234    37   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9878     361       2.     2.03   254    18   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9906     362       1.     0.80   273    65   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9933     363       1.     0.75   252    70   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9961     364       0.     0.49   247    81   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2015.9988     365       1.     0.91   273    61   61.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0015       1       1.     0.93   280    59   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0070       3       2.     1.98   299     2   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0097       4       1.     1.01   319    50   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0125       5       2.     1.66   302    23   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0152       6       2.     2.14   284     5   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0179       7       2.     1.77   264    30   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0207       8       1.     1.38   264    46   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0261      10       2.     2.00   284    17   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0289      11       2.     2.07   306     6   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0316      12       1.     1.12   343    44   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0343      13       2.     1.89   338     4   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0371      14       2.     2.05   318     3   59.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0398      15       2.     1.64   274    38   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0452      17       0.     0.25   317    89   59.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0480      18       2.     1.83   335    17   59.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0507      19       2.     1.91   329    16   59.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0535      20       1.     1.16   321    51   58.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0562      21       2.     1.82   326    23   58.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0589      22       0.     0.49   336    79   58.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0644      24       2.     1.85   334    23   57.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0671      25       2.     1.74   310    34   57.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0698      26       2.     2.13   319    18   57.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0726      27       2.     1.57   326    39   57.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0753      28       2.     2.05   336    19   57.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0780      29       1.     1.02   392    53   56.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0835      31       3.     2.70   308     4   56.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0780      29       3.     2.52   289    17   56.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0808      30       3.     2.64   309     7   56.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0835      31       2.     1.53   274    54   56.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0862      32       1.     0.51   274    85   56.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0890      33       1.     1.40   354    46   55.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0944      35       1.     1.08   328    63   55.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0972      36       1.     1.20   376    53   54.95
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.0999      37       1.     0.94   393    62   54.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1026      38       2.     1.83   389    28   54.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1054      39       2.     2.42   349    17   54.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1081      40       2.     1.75   339    43   53.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1136      42       3.     2.87   345     6   53.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1163      43       1.     0.51   344    84   52.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1190      44       0.     0.46   317    87   52.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1218      45       2.     1.86   399    33   52.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1245      46       2.     2.34   421    12   51.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1272      47       2.     1.97   303    50   51.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1327      49       1.     1.24   326    67   50.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1354      50       3.     2.86   353    18   50.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1382      51       0.     0.48   316    88   50.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1409      52       1.     1.19   297    73   49.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1436      53       1.     0.96   386    71   49.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1464      54       3.     2.93   407     8   49.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1518      56       4.     3.80   335     6   48.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1545      57       3.     3.28   371    12   48.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1627      60       4.     4.33   318     3   46.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1655      61       4.     3.56   382     4   46.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1682      62       3.     2.56   371    37   46.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1709      63       1.     0.67   404    82   45.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1764      65       3.     2.59   389    36   45.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1791      66       4.     4.27   351     4   44.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1819      67       5.     4.82   320     8   44.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1846      68       6.     6.01   269     5   43.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1873      69       5.     5.00   280    21   43.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1901      70       6.     5.65   275    14   43.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1955      72       2.     2.26   280    66   42.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.1983      73       2.     2.39   304    61   41.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2010      74       2.     1.92   330    66   41.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2037      75       6.     5.53   317     8   41.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2064      76       5.     5.13   343     3   40.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2092      77       5.     4.56   384     7   40.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2146      79       1.     1.23   299    82   39.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2174      80       5.     5.28   348     9   39.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2201      81       5.     5.19   361     5   38.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2229      82       5.     5.40   323    17   38.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2256      83       6.     6.05   324     8   37.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2283      84       4.     3.94   319    42   37.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2338      86       2.     2.01   301    73   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2365      87       6.     6.37   312    12   36.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2392      88       6.     6.42   326     3   35.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2420      89       6.     5.83   357     3   35.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2447      90       5.     5.25   335    24   35.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2447      90       5.     5.18   320    29   35.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2502      92       6.     6.41   340     3   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2529      93       6.     5.65   360    14   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2556      94       5.     4.88   419    12   33.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2584      95       7.     6.57   342     8   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2611      96       3.     3.49   381    45   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2638      97       5.     5.13   429     8   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2693      99       6.     6.06   365    12   31.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2720     100       7.     6.70   345    10   31.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2748     101       1.     1.43   344    81   30.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2775     102       7.     6.90   349     3   30.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2802     103       7.     6.82   355     4   30.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2830     104       7.     7.35   336     4   29.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2884     106       7.     7.12   350     5   28.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2911     107       7.     7.41   341     3   28.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2939     108       7.     7.49   340     8   28.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2966     109       8.     7.95   326     3   27.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.2994     110       6.     6.30   328    27   27.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3021     111       5.     4.65   336    45   27.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3076     113       7.     7.11   367     3   26.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3103     114       7.     7.20   345    14   26.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3130     115       6.     5.63   333    36   25.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3157     116       2.     1.88   330    79   25.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3185     117       1.     1.35   349    84   25.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3212     118       2.     2.28   361    72   24.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3294     121       1.     1.18   312    88   23.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3321     122       6.     6.18   336    32   23.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3349     123       4.     4.18   319    57   23.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3376     124       2.     1.78   359    79   22.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3403     125       3.     2.62   361    69   22.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3431     126       3.     2.75   431    60   22.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3485     128       8.     7.83   354    11   21.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3513     129       4.     3.76   322    62   21.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3540     130       8.     7.82   323    21   21.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3567     131       3.     3.39   330    65   20.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3595     132       5.     4.71   339    50   20.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3622     133       2.     2.22   309    79   20.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3677     135       8.     7.86   361    11   19.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3704     136       8.     8.28   357     4   19.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3731     137       2.     2.45   322    76   19.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3758     138       7.     6.54   331    34   19.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3786     139       8.     7.79   340    19   18.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3813     140       9.     8.76   328    13   18.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3868     142       2.     1.93   370    78   18.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3895     143       3.     3.14   372    64   17.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3922     144       7.     6.80   381    20   17.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3950     145       8.     8.25   332    18   17.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.3977     146       9.     9.46   327     5   17.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4004     147       9.     9.09   335     9   17.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4059     149       7.     6.96   309    37   16.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4086     150       2.     2.08   298    82   16.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4114     151       8.     8.31   333    18   16.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4114     151       9.     8.84   326    15   16.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4141     152       4.     3.55   333    65   16.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4168     153       4.     4.26   314    61   16.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4223     155      10.     9.79   301    15   16.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4250     156      10.     9.86   317     9   15.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4278     157       9.     9.44   320    12   15.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4305     158       6.     5.99   354    37   15.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4332     159       9.     8.83   352     7   15.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4360     160       9.     8.81   353     5   15.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4414     162       9.     9.05   320    16   15.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4442     163       5.     5.16   315    53   15.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4469     164      10.    10.44   304     9   15.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4496     165       6.     5.67   297    52   15.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4524     166       4.     3.83   324    64   15.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4551     167       9.     8.74   327    17   15.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4606     169      10.    10.10   313     9   14.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4633     170      10.    10.03   312    10   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4660     171       7.     6.81   316    38   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4688     172       7.     6.98   330    33   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4715     173       5.     5.04   299    57   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4742     174       9.     8.70   338    14   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4797     176      10.    10.21   310     9   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4824     177      10.    10.18   314     7   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4851     178       2.     2.15   294    82   14.95
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4879     179       9.     8.87   316    19   14.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4906     180       9.     8.72   317    20   15.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4961     182       7.     7.21   308    36   15.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.4988     183      10.    10.10   315     5   15.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5015     184       3.     3.40   289    72   15.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5043     185       4.     3.56   286    71   15.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5070     186       9.     8.69   300    25   15.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5097     187       9.     9.42   299    19   15.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5125     188      10.     9.94   303    13   15.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5152     189      10.    10.15   306    10   15.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5179     190       7.     7.21   306    36   15.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5207     191       9.     8.92   324    15   15.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5234     192      10.     9.90   317     8   16.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5261     193      10.     9.98   315     7   16.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5289     194       5.     5.04   300    56   16.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5316     195      10.     9.72   321     6   16.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5343     196       9.     8.55   317    20   16.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5371     197       6.     6.37   305    43   16.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5398     198       9.     9.36   323    10   16.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5425     199      10.    10.29   304     7   17.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5453     200      10.     9.80   304    12   17.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5480     201       8.     8.13   331    19   17.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5507     202       9.     8.70   328    14   17.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5534     203       9.     9.28   298    18   17.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5562     204      11.    10.56   294     8   18.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5589     205      10.     9.53   299    15   18.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5617     206      10.    10.39   297     7   18.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5644     207       9.     8.95   295    21   18.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5671     208       8.     8.03   305    26   18.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5698     209       4.     3.74   293    67   19.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5726     210       8.     7.65   305    29   19.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5753     211       6.     5.52   293    51   19.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5780     212       8.     8.28   297    25   19.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5808     213       7.     6.55   299    40   20.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5835     214       7.     7.45   315    27   20.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5862     215       8.     8.17   304    23   20.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5890     216       9.     9.23   303    13   20.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5917     217      10.     9.58   301    10   21.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5944     218       8.     7.60   309    26   21.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5972     219       9.     9.34   311     5   21.72
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.5999     220       3.     3.21   288    71   22.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6026     221       6.     6.18   296    42   22.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6054     222       9.     9.44   293    12   22.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6081     223      10.     9.91   291     7   22.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6108     224      10.     9.67   290    10   23.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6136     225       9.     9.45   300     6   23.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6163     226       9.     9.32   302     4   23.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6190     227       9.     9.34   300     5   24.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6218     228       9.     8.76   297    14   24.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6245     229       9.     8.87   301    11   24.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6272     230       8.     8.18   299    18   25.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6300     231       8.     8.49   303    13   25.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6327     232       8.     8.23   312    12   25.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6354     233       9.     8.75   292    13   26.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6381     234       9.     8.72   302     9   26.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6409     235       8.     8.43   312     5   26.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6436     236       9.     8.74   301     5   27.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6463     237       9.     9.01   291     8   27.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6491     238       9.     8.88   290     9   27.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6518     239       9.     8.88   291     6   28.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6545     240       9.     8.80   291     7   28.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6573     241       9.     8.54   296     8   29.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6600     242       8.     7.54   296    18   29.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6627     243       8.     8.33   298     7   29.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6627     243       2.     2.00   285    79   29.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6655     244       5.     5.34   287    43   30.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6682     245       2.     2.40   279    75   30.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6709     246       6.     6.39   299    27   30.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6737     247       3.     3.09   280    67   31.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6764     248       8.     7.97   297     7   31.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6791     249       7.     6.75   294    22   32.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6819     250       7.     6.63   280    27   32.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6846     251       7.     6.57   273    29   32.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6873     252       5.     5.24   284    40   33.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6901     253       6.     6.35   292    24   33.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6928     254       8.     7.51   284    12   33.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6955     255       8.     7.81   280     9   34.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.6983     256       8.     7.65   285     7   34.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7010     257       4.     3.91   287    52   35.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7037     258       7.     6.70   289    16   35.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7065     259       7.     7.31   284     9   35.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7092     260       7.     7.07   273    15   36.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7119     261       1.     1.20   263    86   36.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7146     262       2.     2.15   260    75   37.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7174     263       3.     2.62   260    69   37.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7201     264       6.     5.99   267    26   38.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7229     265       7.     6.76   276    12   38.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7256     266       2.     2.17   271    72   38.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7283     267       7.     6.65   284     5   39.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7311     268       6.     6.06   292    12   39.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7338     269       2.     1.70   291    75   40.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7365     270       2.     2.31   288    66   40.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7392     271       1.     1.13   276    84   40.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7420     272       2.     2.15   276    69   41.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7474     274       2.     2.28   270    67   42.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7502     275       4.     4.40   278    33   42.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7529     276       5.     4.72   278    27   42.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7556     277       4.     3.94   286    36   43.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7584     278       2.     2.48   286    59   43.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7611     279       5.     5.08   282    16   43.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7638     280       4.     4.35   262    33   44.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7666     281       1.     1.10   245    84   44.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7693     282       1.     1.47   267    76   45.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7720     283       5.     5.37   275     3   45.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7748     284       5.     5.26   276     5   45.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7775     285       5.     4.85   286    10   46.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7802     286       5.     5.10   275     8   46.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7830     287       5.     4.72   290     6   47.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7857     288       4.     4.24   295    14   47.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7884     289       5.     4.71   282     5   47.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7911     290       5.     4.59   284     5   48.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7939     291       5.     4.60   279     6   48.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7966     292       5.     4.59   275     8   48.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.7993     293       4.     3.87   272    22   49.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8021     294       4.     4.15   274    14   49.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8048     295       2.     1.56   311    62   49.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8075     296       4.     4.12   284     5   50.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8103     297       4.     3.99   282    10   50.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8130     298       3.     3.42   283    21   50.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8157     299       4.     3.89   285     7   51.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8185     300       3.     2.51   283    40   51.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8212     301       4.     3.61   295     4   51.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8239     302       4.     3.75   281     5   52.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8267     303       3.     2.52   281    37   52.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8294     304       3.     3.08   289    19   52.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8294     304       2.     1.60   276    60   52.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8321     305       4.     3.67   273     7   53.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8349     306       2.     2.32   268    42   53.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8376     307       3.     3.11   291    13   53.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8403     308       4.     3.66   261     6   54.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8431     309       3.     2.88   290    17   54.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8458     310       3.     2.76   296    17   54.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8485     311       3.     3.21   280     4   55.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8513     312       1.     0.79   302    75   55.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8540     313       3.     3.11   279     8   55.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8567     314       3.     2.87   281    13   55.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8595     315       3.     2.81   297     3   56.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8622     316       3.     3.21   260     3   56.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8649     317       1.     0.75   261    78   56.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8677     318       2.     2.47   275    22   56.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8704     319       2.     1.97   262    40   57.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8731     320       3.     3.33   237     4   57.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8758     321       3.     3.36   232     3   57.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8786     322       3.     3.22   238     6   57.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8813     323       2.     2.10   290    24   58.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8840     324       2.     2.44   280    14   58.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8868     325       3.     2.75   253    12   58.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8895     326       3.     2.88   250     3   58.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8923     327       2.     1.51   263    48   58.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8950     328       1.     1.14   252    62   59.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.8977     329       2.     1.77   285    32   59.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9004     330       2.     2.27   295     8   59.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9032     331       2.     2.22   256    22   59.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9059     332       1.     0.98   237    68   59.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9086     333       1.     1.44   230    54   59.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9141     335       3.     2.62   246     5   60.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9168     336       2.     2.45   259     7   60.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9196     337       2.     1.86   250    32   60.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9223     338       2.     2.02   249    26   60.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9250     339       2.     2.10   268    16   60.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9278     340       0.     0.28   242    90   60.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9305     341       1.     1.24   251    53   60.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9332     342       1.     0.76   282    67   61.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9360     343       2.     1.92   308     6   61.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9387     344       2.     1.83   320     5   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9414     345       1.     1.44   300    32   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9442     346       0.     0.28   269    88   61.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9469     347       2.     1.99   273    14   61.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9496     348       2.     2.06   281     8   61.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9524     349       2.     1.64   338    10   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9551     350       1.     0.86   296    59   61.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9578     351       0.     0.19   267    92   61.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9605     352       1.     0.51   271    78   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9633     353       2.     1.68   291    21   61.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9660     354       2.     1.70   317    12   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9688     355       2.     1.69   298    18   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9715     356       2.     2.20   260     5   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9742     357       2.     1.94   280    12   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9770     358       0.     0.45   261    81   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9797     359       2.     2.08   275     5   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9824     360       1.     0.53   249    79   61.72
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9851     361       1.     0.90   252    64   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9879     362       2.     1.93   293     9   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9906     363       1.     0.96   292    55   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9933     364       1.     1.20   369    28   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2016.9961     365       2.     1.94   295     9   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0015       1       2.     1.79   271    24   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0043       2       0.     0.25   259    90   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0070       3       0.     0.41   282    82   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0098       4       1.     1.25   276    47   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0125       5       1.     0.77   334    60   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0152       6       1.     0.84   306    61   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0180       7       0.     0.31   282    87   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0207       8       1.     1.16   380    33   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0235       9       1.     0.84   384    51   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0262      10       1.     1.37   302    39   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0289      11       2.     1.74   319    19   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0317      12       2.     2.06   287    15   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0344      13       1.     1.33   266    50   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0372      14       1.     0.58   295    76   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0399      15       3.     2.56   262     7   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0426      16       1.     1.19   277    55   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0454      17       1.     0.59   287    77   59.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0481      18       1.     0.92   308    62   59.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0509      19       2.     1.58   288    40   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0536      20       1.     0.60   296    77   58.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0563      21       1.     1.20   279    57   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0591      22       1.     0.62   271    79   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0618      23       0.     0.19   261    94   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0646      24       1.     0.89   310    66   57.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0673      25       3.     2.80   273     3   57.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0700      26       2.     1.71   290    41   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0728      27       2.     2.19   333    13   57.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0755      28       2.     1.61   348    34   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0782      29       2.     1.74   355    28   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0810      30       1.     1.28   360    47   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0837      31       2.     1.62   352    36   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0782      29       1.     0.63   328    76   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0810      30       1.     1.33   295    56   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0837      31       1.     0.93   301    69   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0865      32       2.     2.44   342     2   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0892      33       2.     2.45   346     5   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0920      34       3.     2.62   331     6   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0947      35       2.     1.55   299    52   55.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.0974      36       2.     1.97   309    38   54.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1002      37       1.     1.20   351    57   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1029      38       3.     2.64   345     9   54.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1056      39       1.     1.16   295    67   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1084      40       1.     0.90   272    77   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1111      41       3.     2.71   358     4   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1139      42       2.     1.63   337    49   53.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1166      43       1.     1.37   371    53   52.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1193      44       1.     1.36   444    44   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1221      45       3.     3.02   346     5   52.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1248      46       3.     3.13   291    23   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1276      47       2.     1.83   295    55   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1303      48       4.     3.93   288     7   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1330      49       3.     3.22   294    24   50.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1358      50       2.     1.92   280    58   50.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1385      51       3.     2.84   323    28   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1413      52       3.     3.40   294    24   49.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1440      53       4.     3.95   283    17   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1468      54       4.     3.79   326     6   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1495      55       3.     3.01   291    37   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1522      56       4.     3.66   310    19   48.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1632      60       4.     3.99   286    25   46.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1659      61       4.     4.34   323     7   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1687      62       2.     2.37   376    41   46.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1714      63       3.     2.99   366    29   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1741      64       4.     4.00   362     3   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1769      65       5.     4.59   326     6   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1796      66       4.     4.12   297    27   44.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1824      67       5.     4.68   320    11   44.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1851      68       5.     4.67   335     3   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1878      69       1.     0.86   357    82   43.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1906      70       4.     4.41   362     6   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1933      71       4.     4.26   378     5   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1961      72       4.     4.46   357    11   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.1988      73       1.     1.38   390    70   41.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2015      74       2.     2.22   475    40   41.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2043      75       4.     3.76   443     4   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2070      76       5.     4.75   367     4   40.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2098      77       3.     2.69   364    49   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2125      78       4.     4.24   383    16   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2152      79       5.     5.24   350     8   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2180      80       3.     2.78   324    56   38.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2207      81       5.     5.45   347     4   38.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2235      82       6.     5.68   339     4   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2262      83       5.     4.89   305    31   37.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2289      84       6.     5.73   299    22   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2317      85       3.     2.75   327    59   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2344      86       5.     4.85   325    29   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2372      87       2.     2.28   317    68   36.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2399      88       7.     6.69   312     9   35.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2426      89       5.     5.13   305    33   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2454      90       1.     0.89   295    89   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2454      90       3.     2.75   344    59   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2481      91       6.     6.42   337     5   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2509      92       6.     5.82   314    24   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2536      93       6.     5.50   314    29   33.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2563      94       8.     7.62   297     9   33.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2591      95       1.     1.11   313    86   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2618      96       2.     2.44   387    61   32.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2646      97       7.     6.60   348     3   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2673      98       7.     6.93   337     5   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2700      99       7.     7.45   320     4   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2728     100       7.     7.49   321     4   31.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2755     101       7.     6.89   318    17   30.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2782     102       6.     6.45   349    14   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2810     103       6.     6.08   348    20   29.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2837     104       4.     4.26   329    48   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2865     105       8.     7.88   320     5   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2892     106       6.     5.67   317    35   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2920     107       7.     7.48   339     4   28.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2947     108       4.     3.92   322    55   28.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.2974     109       8.     8.04   320     9   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3002     110       8.     7.71   312    16   27.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3029     111       1.     1.47   314    84   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3056     112       6.     6.08   319    33   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3084     113       2.     2.11   295    79   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3111     114       2.     1.85   278    83   25.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3139     115       3.     3.25   334    63   25.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3166     116       9.     9.03   292    13   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3194     117       9.     9.14   299    10   24.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3221     118       9.     9.08   288    15   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3248     119       7.     7.24   294    31   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3303     121      10.     9.53   289    12   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3330     122       9.     9.38   306     3   23.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3358     123       9.     9.07   316     4   23.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3385     124       9.     9.25   309     9   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3413     125       3.     2.90   296    73   22.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3440     126       3.     2.79   363    67   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3467     127       4.     4.09   394    47   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3495     128       7.     6.87   407     3   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3522     129       7.     7.19   393     5   21.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3550     130       9.     8.58   337     9   20.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3577     131       2.     1.89   294    83   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3604     132       4.     3.66   326    63   20.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3632     133       3.     3.24   354    64   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3659     134       8.     8.21   358     6   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3687     135       8.     7.97   368     3   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3714     136       9.     9.01   333     6   19.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3741     137       9.     9.38   323     7   19.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3769     138       9.     9.47   315    10   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3796     139       9.     9.30   327     6   18.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3824     140       9.     9.24   323    10   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3851     141       6.     6.26   324    39   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3878     142       2.     2.08   308    81   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3906     143       3.     3.14   320    70   17.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3933     144       4.     4.23   351    55   17.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3961     145       7.     7.05   367    21   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.3988     146       7.     7.32   345    24   17.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4015     147       4.     4.48   336    55   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4043     148       2.     2.38   314    78   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4070     149       5.     5.35   328    48   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4098     150       3.     2.85   312    74   16.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4125     151       6.     5.70   327    45   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4125     151       9.     8.87   348     7   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4152     152       8.     8.00   362    13   16.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4180     153       5.     5.18   366    43   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4207     154       9.     8.85   350     7   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4235     155       2.     2.43   312    78   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4262     156       6.     5.66   341    43   15.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4289     157       6.     6.09   340    39   15.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4317     158       5.     5.09   329    51   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4344     159       9.     8.90   350     5   15.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4372     160       9.     8.53   363     7   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4399     161      10.     9.82   323     5   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4426     162       9.     9.38   320    13   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4454     163       9.     9.42   322    12   15.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4481     164       8.     7.70   315    30   15.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4509     165       7.     6.73   310    40   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4536     166       7.     6.56   321    39   15.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4563     167       9.     8.54   313    23   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4591     168       9.     9.36   312    16   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4618     169       9.     9.21   310    18   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4646     170       5.     5.22   302    55   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4673     171      10.     9.82   324     5   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4700     172       8.     7.54   298    36   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4728     173       8.     7.96   281    37   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4755     174      10.    10.08   305    12   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4782     175       9.     9.09   310    19   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4810     176      10.     9.54   316    13   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4837     177      10.     9.54   325    10   14.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4865     178       8.     8.41   368     7   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4892     179      10.     9.70   326     8   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4920     180      10.    10.24   312     5   15.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.4974     182       8.     7.92   296    33   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5002     183       9.     9.34   305    18   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5029     184       9.     9.19   312    17   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5056     185       7.     6.85   308    39   15.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5084     186       7.     7.37   317    32   15.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5111     187       5.     5.20   306    54   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5139     188       8.     8.44   317    22   15.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5166     189      10.     9.72   317    10   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5194     190      10.    10.02   315     7   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5221     191      10.     9.74   322     6   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5248     192      10.     9.61   310    13   16.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5276     193       8.     8.06   306    28   16.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5303     194      10.     9.50   300    17   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5330     195       9.     9.34   307    16   16.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5358     196       9.     8.79   319    17   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5385     197      10.     9.84   316     8   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5413     198       7.     7.10   306    36   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5440     199       8.     8.35   318    21   17.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5468     200       9.     8.88   314    17   17.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5495     201       9.     9.28   299    18   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5522     202       9.     9.22   300    18   17.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5550     203       9.     9.46   299    16   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5577     204       6.     5.88   302    47   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5604     205       7.     6.97   310    35   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5632     206       7.     6.64   326    34   18.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5659     207       7.     7.25   321    29   18.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5687     208       7.     7.32   295    35   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5714     209       6.     5.57   297    50   19.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5741     210       3.     3.13   313    70   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5769     211       9.     9.11   326     6   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5796     212       9.     9.35   318     6   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5824     213       9.     9.07   313    12   20.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5851     214       9.     9.28   309    11   20.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5878     215       8.     8.36   304    21   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5906     216       9.     9.26   310    10   21.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5933     217       8.     8.41   316    16   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5961     218      10.     9.53   306     8   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.5988     219       1.     1.16   278    90   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6015     220       5.     5.16   294    52   22.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6043     221       9.     8.64   316    12   22.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6070     222       9.     8.76   305    14   22.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6098     223       9.     8.99   303    12   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6125     224       5.     4.59   285    58   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6152     225       7.     6.65   288    38   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6180     226       5.     5.39   276    52   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6207     227       3.     2.66   277    76   24.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6235     228       9.     9.10   298    10   24.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6262     229       8.     8.23   292    20   25.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6289     230       9.     8.71   300    12   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6317     231       8.     7.96   300    19   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6344     232       9.     8.80   305     8   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6372     233       8.     8.00   286    22   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6399     234       9.     9.08   294     6   26.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6426     235       2.     2.20   288    78   27.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6454     236       9.     8.83   297     7   27.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6481     237       7.     7.05   310    22   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6509     238       7.     7.17   310    20   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6536     239       7.     7.50   318    13   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6563     240       6.     5.88   307    34   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6591     241       1.     1.19   279    88   29.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6618     242       8.     7.80   301    13   29.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6646     243       8.     7.76   297    14   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6646     243       5.     4.68   288    50   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6673     244       2.     2.17   284    77   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6700     245       8.     7.55   296    15   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6728     246       8.     7.85   304     7   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6755     247       8.     7.59   304    10   31.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6782     248       4.     3.94   303    53   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6810     249       8.     7.58   305     5   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6837     250       7.     7.48   297    11   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6865     251       7.     7.24   308     9   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6892     252       7.     6.69   299    18   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6920     253       7.     7.40   272    18   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6947     254       4.     4.16   269    54   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.6974     255       7.     7.18   279    16   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7002     256       5.     4.70   289    42   35.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7029     257       6.     5.92   299    23   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7056     258       6.     5.93   292    24   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7084     259       5.     5.43   280    33   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7111     260       4.     3.51   275    57   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7139     261       2.     2.26   266    73   37.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7166     262       7.     6.85   280    12   37.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7194     263       6.     6.38   280    17   37.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7221     264       5.     4.61   273    41   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7248     265       6.     6.31   276    17   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7276     266       7.     7.00   273     4   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7303     267       6.     6.17   269    19   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7330     268       4.     3.51   260    55   39.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7358     269       5.     4.65   262    39   40.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7385     270       7.     6.92   262     3   40.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7413     271       4.     4.01   286    40   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7440     272       4.     4.24   303    31   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7495     274       4.     4.25   291    32   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7522     275       6.     5.73   288     5   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7550     276       5.     5.45   288    11   43.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7577     277       6.     5.55   288     3   43.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7604     278       4.     4.30   283    29   43.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7632     279       5.     4.82   277    21   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7659     280       5.     4.95   267    21   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7687     281       3.     3.19   259    50   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7714     282       3.     3.17   257    50   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7741     283       5.     4.54   263    25   45.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7769     284       2.     1.79   262    70   46.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7796     285       1.     1.37   268    76   46.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7824     286       2.     1.55   264    73   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7851     287       2.     2.14   258    63   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7878     288       4.     3.61   270    33   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7906     289       1.     0.95   271    82   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7933     290       4.     4.12   299    11   48.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7961     291       4.     4.24   296     5   48.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.7988     292       4.     4.15   297     3   49.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8015     293       4.     4.17   291     4   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8043     294       4.     4.23   283     4   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8070     295       4.     4.15   283     6   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8098     296       2.     2.49   260    49   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8125     297       3.     3.24   258    33   50.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8152     298       2.     1.90   275    57   51.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8180     299       3.     2.53   335    27   51.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8207     300       4.     3.97   272     4   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8235     301       4.     3.82   263    13   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8262     302       1.     0.67   256    85   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8289     303       4.     3.79   270     4   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8317     304       4.     3.85   262     4   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8317     304       2.     2.17   263    48   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8344     305       3.     3.48   279     9   53.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8372     306       3.     3.32   261    18   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8399     307       2.     2.13   259    47   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8426     308       3.     3.20   259    19   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8454     309       2.     1.75   259    55   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8481     310       0.     0.24   246    94   54.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8509     311       1.     0.79   270    78   55.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8536     312       2.     2.11   290    35   55.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8563     313       3.     2.74   297    12   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8591     314       3.     3.01   277     9   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8618     315       1.     1.39   261    60   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8646     316       1.     1.07   288    65   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8673     317       3.     2.60   278    17   56.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8700     318       2.     1.85   283    39   57.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8728     319       2.     2.22   305    19   57.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8755     320       2.     1.72   332    30   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8782     321       2.     1.72   290    39   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8810     322       2.     2.29   320     8   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8837     323       2.     2.22   325     4   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8865     324       2.     1.53   338    33   58.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8892     325       2.     1.80   333    21   58.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8920     326       1.     1.38   302    45   58.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8947     327       2.     2.37   292     6   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.8974     328       2.     2.12   270    23   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9002     329       2.     2.41   280     4   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9029     330       2.     2.44   274     4   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9056     331       3.     2.64   252     4   59.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9084     332       3.     2.74   236    10   59.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9111     333       2.     2.47   260     9   60.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9166     335       2.     2.18   289     5   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9194     336       2.     1.54   282    36   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9221     337       2.     1.77   284    25   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9248     338       2.     1.62   269    35   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9276     339       1.     1.23   259    52   60.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9303     340       1.     1.30   277    45   60.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9330     341       2.     1.64   274    31   61.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9358     342       1.     0.60   259    76   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9385     343       0.     0.30   239    89   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9413     344       1.     1.33   313    34   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9440     345       2.     1.84   292    15   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9468     346       1.     1.07   317    46   61.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9495     347       2.     1.69   338     5   61.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9522     348       2.     1.71   313    14   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9550     349       0.     0.44   299    79   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9577     350       2.     1.83   291    14   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9604     351       1.     1.12   278    50   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9632     352       2.     2.23   258     4   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9659     353       2.     1.87   291    12   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9687     354       0.     0.50   262    79   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9714     355       2.     2.17   264     7   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9741     356       1.     1.08   296    48   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9769     357       1.     1.14   273    50   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9796     358       1.     0.63   268    73   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9824     359       1.     1.10   308    45   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9851     360       2.     1.57   311    21   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9878     361       1.     1.32   310    34   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9906     362       2.     1.83   313     8   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9933     363       2.     1.55   366     4   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9961     364       0.     0.45   361    74   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2017.9988     365       1.     1.07   351    40   61.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0015       1       1.     1.43   399     7   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0043       2       2.     1.51   383     7   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0070       3       1.     1.42   356    20   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0098       4       0.     0.30   358    83   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0125       5       1.     1.41   356    22   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0152       6       1.     0.98   430    34   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0180       7       1.     1.47   338    24   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0207       8       2.     1.52   328    25   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0235       9       2.     1.74   287    26   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0262      10       2.     1.73   296    25   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0289      11       2.     1.62   282    34   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0317      12       1.     0.80   272    69   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0344      13       1.     1.07   289    56   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0372      14       0.     0.02   304    99   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0399      15       1.     0.84   332    61   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0426      16       2.     1.73   318    24   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0454      17       1.     0.66   333    70   59.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0481      18       2.     1.99   341     4   59.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0509      19       2.     2.18   318     3   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0536      20       2.     2.49   285     4   58.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0563      21       2.     1.92   288    29   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0591      22       2.     1.63   291    40   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0618      23       2.     1.92   315    24   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0646      24       2.     2.01   320    20   57.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0673      25       2.     2.04   364     8   57.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0700      26       3.     2.50   307     5   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0728      27       3.     2.55   303     9   57.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0755      28       0.     0.47   310    83   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0782      29       1.     0.84   312    70   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0810      30       1.     0.79   423    61   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0837      31       2.     2.36   348     4   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0782      29       2.     1.68   340    34   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0810      30       2.     1.92   392    13   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0837      31       2.     2.25   334    16   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0865      32       1.     0.68   321    76   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0892      33       2.     2.18   385     4   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0920      34       2.     1.61   338    42   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0947      35       0.     0.32   325    89   55.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.0974      36       2.     2.39   371     6   54.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1002      37       2.     2.40   319    23   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1029      38       1.     0.87   305    74   54.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1056      39       1.     0.96   293    73   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1084      40       1.     0.71   299    80   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1111      41       2.     2.02   299    44   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1139      42       2.     1.68   323    50   53.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1166      43       1.     1.02   296    73   52.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1194      44       1.     0.93   293    76   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1221      45       2.     1.83   280    56   52.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1248      46       4.     3.97   276     8   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1276      47       2.     2.11   271    53   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1303      48       3.     3.14   275    30   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1330      49       4.     4.11   281     7   50.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1358      50       1.     1.23   271    74   50.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1385      51       1.     1.15   252    78   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1413      52       2.     1.87   245    66   49.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1440      53       2.     1.98   261    62   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1468      54       1.     1.07   270    79   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1495      55       4.     3.82   329     3   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1522      56       3.     2.79   346    30   48.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1632      60       1.     1.16   311    76   46.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1659      61       1.     1.41   378    64   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1687      62       3.     3.07   378    23   46.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1714      63       2.     2.09   368    50   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1741      64       4.     3.76   381     8   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1769      65       3.     3.11   337    35   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1796      66       2.     1.75   394    57   44.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1824      67       4.     3.54   419     4   44.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1851      68       3.     2.97   433    21   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1878      69       3.     2.73   435    28   43.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1906      70       3.     3.09   421    23   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1933      71       1.     1.11   403    74   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1961      72       4.     4.07   398     6   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.1988      73       2.     2.42   472    34   41.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2015      74       3.     2.64   439    35   41.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2043      75       4.     3.84   430     9   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2070      76       1.     1.06   389    78   40.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2098      77       5.     4.56   385     4   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2125      78       3.     2.87   361    47   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2152      79       1.     0.82   343    86   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2180      80       1.     0.73   407    85   38.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2207      81       5.     4.56   403     8   38.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2235      82       5.     4.59   406     6   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2262      83       4.     3.77   385    30   37.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2289      84       3.     3.10   403    40   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2317      85       2.     2.47   365    58   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2344      86       3.     3.05   315    57   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2372      87       4.     4.10   305    45   36.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2399      88       7.     6.89   296    12   35.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2426      89       3.     2.76   290    66   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2454      90       6.     5.64   372     4   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2454      90       3.     2.60   346    61   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2481      91       3.     2.63   346    61   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2509      92       4.     3.64   317    52   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2536      93       3.     3.38   304    58   33.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2563      94       6.     6.04   365     5   33.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2591      95       4.     4.28   367    35   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2618      96       2.     1.55   364    77   32.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2646      97       5.     4.93   445     4   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2673      98       5.     5.48   345    25   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2700      99       6.     6.03   371    11   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2728     100       5.     4.87   435    14   31.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2755     101       5.     5.39   367    23   30.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2783     102       7.     7.18   338     5   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2810     103       7.     6.99   332    13   29.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2837     104       2.     1.86   308    79   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2865     105       2.     2.40   348    69   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2892     106       3.     3.22   374    55   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2920     107       8.     7.56   336     5   28.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2947     108       2.     1.68   346    79   28.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.2974     109       7.     6.68   378     4   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3002     110       7.     6.76   376     8   27.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3029     111       7.     6.81   359    13   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3056     112       8.     7.53   329    14   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3084     113       4.     4.15   311    56   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3111     114       5.     5.31   380    29   25.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3139     115       7.     7.16   370     6   25.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3166     116       6.     6.30   364    21   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3194     117       5.     4.97   369    37   24.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3221     118       6.     6.16   414    11   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3248     119       7.     6.59   405     3   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3303     121       8.     7.68   360     5   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3330     122       8.     7.85   355     6   23.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3358     123       9.     8.69   327     8   23.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3385     124       9.     8.81   313    12   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3413     125       4.     4.24   312    58   22.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3440     126       3.     3.20   308    69   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3468     127       6.     5.52   373    33   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3495     128       6.     6.28   402    17   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3522     129       6.     6.14   419    15   21.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3550     130       8.     8.26   351     8   20.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3577     131       9.     8.64   336     9   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3604     132       9.     8.83   331     9   20.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3632     133       4.     3.87   333    60   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3659     134       6.     6.40   325    36   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3687     135       9.     8.57   327    14   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3714     136       3.     2.92   306    73   19.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3741     137       3.     2.52   304    77   19.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3769     138       1.     1.45   300    87   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3796     139       4.     4.04   292    65   18.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3824     140       9.     8.81   311    18   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3851     141      10.     9.97   310     7   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3878     142       6.     6.26   307    43   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3906     143       8.     7.52   339    23   17.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3933     144       9.     8.87   344     6   17.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3961     145       9.     9.01   340     7   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.3988     146       9.     8.72   340    11   17.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4015     147       7.     6.55   337    34   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4043     148       4.     3.80   313    65   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4070     149       4.     4.49   305    60   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4098     150       5.     5.49   301    52   16.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4125     151       7.     6.90   296    41   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4125     151       8.     8.48   321    20   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4152     152       5.     5.00   309    55   16.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4180     153       3.     3.03   307    73   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4207     154       9.     8.68   326    17   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4235     155       9.     9.26   337     8   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4262     156       7.     7.39   351    23   15.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4289     157       9.     9.29   337     7   15.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4317     158       8.     7.87   330    24   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4344     159       4.     4.16   315    62   15.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4372     160       6.     5.58   326    47   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4399     161       4.     4.21   326    60   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4426     162       8.     8.22   340    18   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4454     163       9.     9.06   320    16   15.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4481     164       9.     9.39   320    13   15.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4509     165       9.     9.35   337     6   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4536     166      10.     9.75   325     8   15.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4563     167      10.    10.07   317     6   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4591     168       9.     9.18   314    17   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4618     169       7.     6.53   305    43   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4646     170       9.     8.92   302    23   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4673     171       6.     6.00   313    46   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4700     172       2.     1.83   289    85   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4728     173       8.     8.15   308    28   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4755     174       9.     8.70   295    27   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4782     175       9.     9.32   310    17   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4810     176       9.     9.40   320    13   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4837     177       7.     7.04   315    36   14.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4865     178       9.     8.73   327    17   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4892     179       9.     9.23   315    16   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4920     180       9.     9.48   308    16   15.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.4974     182      10.     9.65   309    14   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5002     183      10.    10.01   314     9   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5029     184      10.     9.96   315     9   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5057     185       9.     9.05   319    16   15.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5084     186       9.     8.95   312    19   15.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5111     187       3.     2.62   293    78   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5139     188       8.     7.72   312    30   15.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5166     189      10.    10.07   314     3   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5194     190      10.    10.25   309     5   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5221     191      10.    10.40   305     5   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5248     192       9.     8.51   333    16   16.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5276     193       8.     7.94   349    17   16.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5303     194      10.     9.62   324     7   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5330     195      10.     9.82   318     6   16.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5358     196       7.     7.26   313    33   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5385     197       7.     7.37   320    30   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5413     198       8.     8.28   314    23   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5440     199       9.     9.40   318    11   17.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5468     200       9.     9.00   326    12   17.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5495     201       8.     8.39   322    19   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5522     202       1.     1.28   291    89   17.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5550     203       8.     7.60   323    26   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5577     204       7.     6.52   303    41   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5604     205       6.     6.29   298    44   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5632     206       5.     4.73   291    59   18.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5659     207       9.     9.20   315    12   18.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5687     208       6.     6.37   310    40   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5714     209       7.     7.25   312    31   19.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5741     210       9.     8.71   308    18   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5769     211       2.     2.28   290    80   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5796     212       6.     6.11   295    45   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5824     213       8.     8.17   302    24   20.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5851     214       9.     9.03   301    16   20.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5878     215       9.     9.46   300    12   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5906     216       9.     8.59   296    21   21.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5933     217      10.     9.62   302     9   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5961     218       8.     8.23   314    18   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.5988     219       8.     8.18   308    20   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6015     220       9.     9.38   299    11   22.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6043     221       9.     9.25   307     9   22.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6070     222       8.     8.33   312    16   22.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6098     223       3.     3.10   300    70   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6125     224       8.     8.21   313    16   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6152     225       7.     7.24   311    26   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6180     226       9.     8.51   325     5   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6207     227       9.     8.96   309     8   24.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6235     228       8.     7.82   300    22   24.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6262     229       8.     7.63   295    25   25.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6289     230       6.     6.16   295    39   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6317     231       7.     6.98   307    27   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6344     232       3.     2.53   310    73   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6372     233       4.     4.37   294    56   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6399     234       4.     4.44   299    54   26.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6426     235       8.     7.95   320    10   27.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6454     236       8.     8.21   301    13   27.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6481     237       7.     7.26   299    23   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6509     238       8.     8.42   305     6   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6536     239       8.     7.85   303    14   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6563     240       8.     7.69   300    16   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6591     241       8.     8.14   301    10   29.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6618     242       8.     7.99   309     8   29.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6646     243       6.     6.48   308    25   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6646     243       7.     6.69   303    24   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6673     244       7.     7.00   299    21   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6700     245       7.     7.46   293    17   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6728     246       7.     6.85   290    24   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6755     247       8.     7.56   288    16   31.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6782     248       8.     8.05   287    10   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6810     249       6.     6.39   283    29   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6837     250       2.     1.66   274    82   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6865     251       1.     1.09   275    88   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6892     252       5.     5.46   284    37   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6920     253       6.     5.53   282    36   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6947     254       7.     7.45   287    11   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.6974     255       3.     3.47   270    61   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7002     256       3.     3.37   268    62   35.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7029     257       5.     5.47   259    40   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7057     258       6.     6.16   264    30   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7084     259       4.     3.91   254    57   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7111     260       6.     5.88   262    32   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7139     261       6.     6.26   276    22   37.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7166     262       6.     5.69   270    30   37.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7194     263       4.     4.41   270    45   37.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7221     264       7.     6.59   280    13   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7248     265       2.     1.62   272    79   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7276     266       1.     1.42   276    81   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7303     267       6.     5.52   280    24   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7331     268       7.     6.55   276    10   39.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7358     269       4.     3.78   273    48   40.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7385     270       5.     4.69   271    35   40.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7413     271       6.     5.73   278    17   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7440     272       6.     6.07   277    11   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7495     274       6.     6.38   266     8   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7522     275       6.     6.03   276     6   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7550     276       5.     5.43   275    16   43.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7577     277       6.     5.75   266    13   43.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7604     278       1.     1.31   253    81   43.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7632     279       3.     3.23   259    51   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7659     280       6.     5.80   263     9   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7687     281       5.     4.70   266    24   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7714     282       5.     4.89   265    20   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7741     283       5.     5.05   254    20   45.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7769     284       3.     3.03   241    54   46.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7796     285       5.     5.49   259     4   46.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7824     286       3.     2.98   286    43   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7851     287       3.     2.67   267    52   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7878     288       3.     2.97   257    48   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7906     289       4.     3.55   259    36   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7933     290       5.     4.92   264     3   48.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7961     291       4.     4.25   295     4   48.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.7988     292       4.     4.36   284     6   49.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8015     293       1.     0.50   266    90   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8043     294       3.     3.12   315    23   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8070     295       4.     4.10   286     4   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8098     296       4.     3.85   298     4   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8125     297       3.     3.34   309    15   50.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8152     298       4.     3.82   282    11   51.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8180     299       1.     0.89   281    79   51.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8207     300       1.     1.48   291    63   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8235     301       3.     3.38   302    10   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8262     302       2.     2.12   328    37   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8289     303       3.     3.30   305     4   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8317     304       3.     2.98   287    21   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8317     304       3.     2.85   265    31   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8344     305       1.     1.03   262    75   53.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8372     306       3.     2.98   303    13   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8399     307       3.     3.27   289     3   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8426     308       0.     0.36   281    90   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8454     309       1.     0.94   276    74   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8481     310       3.     3.43   264     8   54.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8509     311       3.     3.20   258    15   55.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8536     312       1.     1.13   246    71   55.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8563     313       3.     3.19   270     5   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8591     314       3.     3.44   248     7   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8618     315       1.     1.47   253    59   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8645     316       1.     0.93   251    74   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8673     317       2.     2.26   271    30   56.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8700     318       0.     0.24   256    93   57.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8728     319       3.     2.60   273    16   57.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8755     320       2.     2.39   278    20   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8782     321       2.     2.37   283    18   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8810     322       2.     1.63   290    41   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8837     323       1.     1.45   309    43   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8865     324       2.     2.32   308     6   58.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8892     325       2.     2.42   293     8   58.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8919     326       2.     1.94   290    26   58.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8947     327       0.     0.41   292    84   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.8974     328       2.     2.26   301     3   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9002     329       0.     0.03   277    99   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9029     330       2.     1.80   304    24   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9056     331       2.     1.94   324    11   59.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9084     332       2.     2.34   279     4   59.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9111     333       1.     1.35   265    49   60.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9166     335       1.     0.74   244    74   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9194     336       1.     1.07   268    58   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9221     337       2.     2.17   285     8   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9248     338       1.     1.40   298    37   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9276     339       1.     1.34   326    33   60.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9303     340       1.     1.28   295    42   60.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9331     341       2.     1.95   305     5   61.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9358     342       1.     1.41   283    38   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9385     343       0.     0.45   272    81   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9413     344       1.     1.33   297    38   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9440     345       1.     1.36   319    31   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9468     346       2.     1.68   323    13   61.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9495     347       1.     1.15   300    45   61.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9522     348       1.     0.81   264    66   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9550     349       1.     0.59   275    74   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9577     350       1.     0.69   336    62   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9605     351       2.     1.74   318    10   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9632     352       2.     1.85   307     6   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9659     353       2.     1.78   294    15   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9687     354       1.     0.55   283    75   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9714     355       1.     0.80   286    63   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9741     356       2.     1.90   299     6   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9769     357       2.     2.05   278     6   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9796     358       1.     1.35   315    31   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9824     359       1.     0.99   300    52   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9851     360       2.     1.99   288     4   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9878     361       2.     1.73   274    24   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9906     362       1.     0.63   251    75   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9933     363       2.     2.26   258     7   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9961     364       2.     1.54   264    36   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2018.9988     365       1.     0.51   240    81   61.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0015       1       1.     1.13   235    59   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0043       2       1.     0.89   262    64   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0070       3       1.     0.84   290    62   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0098       4       1.     1.14   274    52   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0125       5       1.     0.89   315    57   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0152       6       2.     2.32   263     8   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0180       7       2.     1.87   221    39   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0207       8       2.     1.93   249    29   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0235       9       1.     1.10   323    47   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0262      10       2.     1.92   325     6   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0289      11       2.     2.02   313     3   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0317      12       1.     0.81   292    66   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0344      13       0.     0.47   300    80   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0372      14       1.     1.36   312    40   59.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0399      15       2.     1.82   318    19   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0426      16       2.     2.07   308    12   59.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0454      17       1.     1.13   294    55   59.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0481      18       2.     1.92   306    21   59.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0509      19       1.     0.67   295    74   58.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0536      20       1.     1.02   322    57   58.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0563      21       2.     2.07   341     5   58.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0591      22       3.     2.68   273     3   58.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0618      23       2.     2.20   271    26   58.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0645      24       0.     0.25   264    92   57.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0673      25       2.     1.91   310    28   57.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0700      26       2.     2.09   322    19   57.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0728      27       2.     1.99   325    23   57.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0755      28       2.     1.50   314    45   57.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0783      29       1.     0.89   305    69   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0810      30       2.     2.02   308    30   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0837      31       2.     2.16   377     4   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0783      29       1.     0.53   387    76   56.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0810      30       2.     2.38   333    10   56.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0837      31       2.     2.40   322    14   56.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0865      32       3.     2.52   266    28   56.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0892      33       4.     3.62   244     6   55.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0919      34       3.     3.01   252    22   55.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0947      35       3.     2.52   237    40   55.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.0974      36       3.     2.53   247    38   54.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1002      37       3.     3.11   268    18   54.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1029      38       3.     2.88   256    29   54.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1056      39       1.     1.01   243    77   54.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1084      40       1.     0.82   238    82   53.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1111      41       3.     2.94   284    23   53.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1139      42       3.     2.55   342    19   53.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1166      43       2.     2.17   356    29   52.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1193      44       1.     1.13   320    68   52.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1221      45       1.     1.27   276    70   52.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1248      46       4.     3.94   259    15   51.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1276      47       4.     4.04   268    11   51.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1303      48       1.     0.68   256    86   51.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1330      49       4.     3.72   253    26   50.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1358      50       2.     2.05   242    62   50.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1385      51       1.     1.29   246    76   50.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1413      52       2.     1.55   244    72   49.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1440      53       4.     4.26   290     4   49.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1467      54       4.     3.83   283    21   49.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1495      55       3.     2.72   287    44   48.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1522      56       4.     4.26   295    11   48.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1632      60       1.     0.80   287    85   46.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1659      61       1.     1.18   366    71   46.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1687      62       1.     1.38   305    73   46.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1714      63       3.     3.35   336    28   45.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1741      64       3.     2.72   353    39   45.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1769      65       3.     2.90   447    16   44.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1796      66       4.     4.17   359     7   44.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1824      67       1.     1.40   365    69   44.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1851      68       2.     1.88   358    60   43.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1878      69       3.     2.52   312    55   43.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1906      70       3.     3.49   293    43   43.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1933      71       5.     4.51   360     4   42.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1961      72       5.     4.84   330    12   42.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.1988      73       5.     5.25   312    12   41.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2015      74       3.     2.96   291    55   41.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2043      75       6.     5.89   302     5   41.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2070      76       5.     4.81   363     6   40.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2098      77       2.     2.46   354    55   40.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2125      78       5.     4.89   363     9   39.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2152      79       4.     3.57   398    27   39.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2180      80       2.     2.05   354    64   38.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2207      81       4.     4.20   388    19   38.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2235      82       5.     4.65   402     3   38.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2262      83       5.     5.20   352    13   37.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2289      84       4.     4.49   311    36   37.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2317      85       6.     6.02   334     3   36.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2344      86       6.     5.51   364     4   36.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2372      87       5.     5.50   368     8   36.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2399      88       5.     4.97   329    28   35.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2426      89       5.     4.71   315    36   35.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2454      90       1.     1.02   340    85   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2454      90       6.     5.71   368     3   34.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2481      91       2.     1.73   361    73   34.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2509      92       6.     6.25   348     5   34.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2536      93       5.     5.22   359    21   33.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2563      94       2.     1.82   356    73   33.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2591      95       5.     5.43   331    27   32.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2618      96       7.     7.21   317     9   32.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2645      97       7.     7.26   318     9   32.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2673      98       4.     3.64   299    58   31.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2700      99       8.     7.53   317     7   31.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2728     100       8.     7.76   294    14   31.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2755     101       8.     7.57   282    21   30.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2783     102       3.     3.17   298    65   30.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2810     103       4.     3.81   312    56   29.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2837     104       7.     6.85   347    11   29.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2865     105       7.     7.23   344     4   29.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2892     106       7.     7.18   332    13   28.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2919     107       8.     7.75   329     7   28.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2947     108       4.     4.13   279    60   28.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.2974     109       6.     6.33   295    35   27.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3002     110       6.     5.88   356    25   27.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3029     111       3.     3.07   357    61   26.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3057     112       8.     8.06   329     6   26.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3084     113       7.     7.43   341    12   26.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3111     114       4.     3.51   325    61   25.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3139     115       3.     3.41   321    63   25.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3166     116       7.     7.18   371     3   25.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3193     117       7.     7.28   331    19   24.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3221     118       5.     4.68   343    46   24.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3248     119       8.     8.41   321    11   24.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3303     121       5.     5.02   318    48   23.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3330     122       9.     9.20   311     7   23.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3358     123       9.     9.23   311     8   23.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3385     124       7.     7.04   308    31   22.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3413     125       3.     2.94   293    73   22.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3440     126       8.     7.52   336    19   22.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3467     127       9.     8.84   325     9   21.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3495     128       7.     7.38   330    23   21.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3522     129       9.     8.84   331     7   21.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3550     130       6.     6.19   308    41   20.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3577     131       6.     5.86   296    47   20.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3604     132       2.     1.69   292    85   20.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3632     133       3.     2.99   334    69   20.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3659     134       4.     4.14   361    53   19.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3687     135       8.     8.37   353     6   19.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3714     136       8.     7.98   358    11   19.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3741     137       6.     5.64   321    45   19.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3769     138       9.     9.15   318    12   18.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3796     139       8.     8.32   319    20   18.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3824     140      10.     9.66   317     8   18.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3851     141      10.    10.08   304     9   18.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3878     142       9.     9.25   291    21   18.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3906     143       7.     7.12   308    35   17.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3933     144       9.     9.25   332     3   17.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3961     145       9.     8.89   312    18   17.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.3988     146      10.     9.86   316     5   17.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4015     147       9.     9.22   310    16   17.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4043     148       9.     9.16   309    17   16.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4070     149      10.     9.62   315    11   16.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4098     150      10.     9.98   315     7   16.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4125     151       8.     7.93   350    17   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4125     151       6.     6.48   368    28   16.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4152     152       7.     7.09   385    17   16.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4180     153       7.     6.95   392    17   16.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4207     154       8.     8.44   364     3   16.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4235     155       7.     7.17   332    30   15.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4262     156       7.     6.84   329    34   15.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4289     157       6.     6.03   300    48   15.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4317     158       8.     7.90   307    30   15.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4344     159       3.     3.48   317    68   15.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4372     160       8.     8.15   314    26   15.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4399     161      10.     9.71   326     5   15.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4426     162       7.     6.89   316    37   15.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4454     163       7.     6.51   323    39   15.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4481     164       8.     7.66   379    13   15.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4509     165       9.     9.28   339     5   15.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4536     166       8.     8.47   332    18   15.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4563     167       9.     9.13   328    13   14.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4591     168       6.     5.84   315    47   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4618     169       8.     7.90   316    28   14.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4645     170      10.     9.95   314    10   14.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4673     171       7.     6.59   372    27   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4700     172       9.     8.78   339    13   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4728     173      10.     9.81   324     6   14.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4755     174      10.     9.69   312    13   14.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4782     175       9.     8.58   312    23   14.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4810     176      10.     9.61   329     8   14.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4837     177       9.     9.40   329    10   14.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4865     178       9.     9.01   328    14   14.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4892     179       7.     7.49   322    30   15.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4919     180      10.     9.93   320     7   15.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.4974     182      10.     9.83   319     9   15.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5002     183      10.     9.91   320     6   15.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5029     184      10.     9.96   318     8   15.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5057     185       7.     6.63   308    41   15.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5084     186       9.     9.47   316    13   15.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5111     187       9.     8.63   318    20   15.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5139     188       6.     5.96   302    48   15.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5166     189       2.     2.27   291    81   15.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5193     190       9.     8.64   343    12   15.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5221     191       9.     9.34   321    12   16.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5248     192      10.     9.57   317    11   16.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5276     193      10.     9.52   318    11   16.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5303     194      10.     9.66   323     5   16.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5331     195       9.     9.34   313    14   16.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5358     196      10.    10.07   311     7   16.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5385     197      10.    10.00   309     9   16.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5413     198      10.    10.41   301     8   17.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5440     199       8.     7.70   300    32   17.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5467     200      10.    10.09   302    10   17.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5495     201      10.     9.99   301    11   17.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5522     202      10.    10.20   304     7   17.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5550     203      10.     9.53   321     5   17.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5577     204       4.     4.14   300    63   18.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5604     205       9.     8.51   312    20   18.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5632     206       9.     8.62   311    19   18.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5659     207       8.     8.33   306    23   18.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5687     208       9.     8.96   312    15   19.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5714     209      10.     9.91   306     7   19.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5741     210       9.     9.35   314    10   19.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5769     211       9.     9.42   308    11   19.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5796     212       8.     8.00   312    23   20.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5824     213       9.     8.76   319    13   20.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5851     214       4.     3.96   309    62   20.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5878     215       8.     8.00   312    22   20.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5906     216       6.     6.12   295    44   21.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5933     217       4.     4.19   298    61   21.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5961     218       7.     6.55   321    33   21.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.5988     219       7.     6.87   311    32   21.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6015     220       8.     8.17   323    15   22.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6043     221       8.     8.22   320    15   22.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6070     222       6.     6.13   317    37   22.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6098     223       8.     8.08   325    14   23.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6125     224       9.     8.97   305    11   23.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6152     225       3.     2.52   293    76   23.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6180     226       7.     7.42   293    29   24.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6207     227       7.     6.79   299    33   24.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6235     228       7.     6.93   307    29   24.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6262     229       8.     7.51   302    24   25.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6289     230       8.     8.18   292    20   25.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6317     231       8.     8.29   296    17   25.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6344     232       7.     7.22   300    26   26.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6372     233       8.     8.04   300    17   26.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6399     234       9.     8.55   306     9   26.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6426     235       4.     4.44   297    54   27.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6454     236       5.     4.83   300    49   27.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6481     237       6.     6.09   316    31   27.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6509     238       5.     4.68   299    50   28.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6536     239       5.     4.64   289    52   28.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6563     240       5.     5.10   288    47   28.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6591     241       8.     8.47   297     4   29.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6618     242       8.     8.02   294    13   29.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6645     243       7.     7.49   300    16   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6645     243       7.     7.04   297    22   29.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6673     244       8.     8.03   300     9   30.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6700     245       7.     7.17   300    18   30.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6728     246       7.     6.56   284    29   31.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6755     247       3.     3.01   270    69   31.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6783     248       1.     1.07   268    89   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6810     249       7.     6.68   298    21   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6837     250       6.     6.00   299    28   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6865     251       6.     6.12   288    29   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6892     252       8.     8.00   278    10   33.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6919     253       8.     7.64   281    12   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6947     254       7.     7.14   286    15   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.6974     255       4.     3.84   290    53   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7002     256       6.     5.70   291    29   35.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7029     257       4.     3.87   282    53   35.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7057     258       5.     5.24   288    34   35.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7084     259       7.     6.50   288    17   36.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7111     260       5.     5.27   291    31   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7139     261       6.     5.50   308    22   37.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7166     262       6.     6.15   295    16   37.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7193     263       7.     6.82   289     6   37.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7221     264       7.     6.57   278    14   38.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7248     265       7.     7.02   275     8   38.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7276     266       7.     6.62   286     4   39.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7303     267       7.     6.61   283     4   39.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7331     268       6.     5.98   284    15   39.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7358     269       6.     6.33   270    14   40.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7385     270       4.     3.95   272    45   40.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7413     271       6.     6.40   271    10   41.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7440     272       3.     3.11   264    57   41.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7495     274       7.     6.72   255     5   42.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7522     275       6.     6.07   243    20   42.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7550     276       2.     1.73   259    75   43.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7577     277       6.     6.17   263     4   43.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7605     278       4.     4.46   274    29   43.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7632     279       2.     2.20   277    64   44.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7659     280       5.     4.51   283    23   44.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7687     281       1.     1.34   280    77   45.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7714     282       1.     1.45   297    73   45.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7741     283       5.     5.15   282     3   45.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7769     284       2.     2.18   284    60   46.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7796     285       5.     5.05   273    10   46.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7824     286       2.     2.34   276    57   46.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7851     287       5.     4.83   281     5   47.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7878     288       4.     4.48   295     4   47.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7906     289       1.     0.70   282    86   48.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7933     290       4.     3.66   331    11   48.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7961     291       3.     3.31   310    24   48.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.7988     292       4.     3.50   294    23   49.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8015     293       1.     0.53   277    89   49.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8043     294       3.     2.84   279    39   49.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8070     295       2.     2.45   254    52   50.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8098     296       5.     4.51   259     5   50.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8125     297       5.     4.55   253     6   50.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8152     298       2.     2.39   247    52   51.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8180     299       3.     2.54   252    47   51.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8207     300       2.     1.73   247    64   51.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8235     301       4.     3.57   248    24   52.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8262     302       2.     2.37   242    50   52.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8289     303       2.     1.79   240    62   52.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8317     304       3.     3.23   258    24   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8317     304       4.     3.51   285     3   53.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8344     305       3.     3.39   289     5   53.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8372     306       3.     3.00   317     8   53.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8399     307       3.     2.86   319    10   54.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8426     308       2.     2.10   314    34   54.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8454     309       3.     2.91   311     4   54.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8481     310       2.     2.31   302    28   54.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8509     311       2.     2.48   321    16   55.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8536     312       2.     2.02   339    26   55.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8563     313       2.     2.14   324    24   55.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8591     314       3.     2.59   304    13   56.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8618     315       0.     0.32   310    89   56.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8645     316       2.     2.25   349     9   56.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8673     317       1.     1.47   327    44   56.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8700     318       1.     1.34   327    48   57.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8728     319       1.     1.44   308    47   57.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8755     320       1.     1.13   300    59   57.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8783     321       1.     0.74   308    72   57.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8810     322       2.     1.76   317    30   58.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8837     323       2.     1.78   338    23   58.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8865     324       2.     2.25   285    18   58.45
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8892     325       0.     0.26   291    90   58.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8919     326       2.     1.59   292    39   58.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8947     327       1.     1.02   307    58   59.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.8974     328       2.     2.43   282     7   59.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9002     329       3.     2.55   266     5   59.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9029     330       1.     1.09   254    62   59.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9057     331       2.     1.58   293    35   59.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9084     332       2.     2.17   296     9   59.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9111     333       1.     1.23   316    44   60.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9166     335       0.     0.23   321    89   60.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9193     336       0.     0.39   417    75   60.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9221     337       1.     0.59   347    69   60.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9248     338       1.     1.22   369    31   60.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9276     339       1.     1.03   312    51   60.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9303     340       1.     0.83   321    59   60.96
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9331     341       2.     1.63   349    11   61.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9358     342       2.     1.76   327    10   61.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9385     343       0.     0.47   311    77   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9413     344       1.     0.68   291    69   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9440     345       1.     1.49   312    26   61.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9467     346       2.     1.89   306     8   61.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9495     347       1.     0.54   303    74   61.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9522     348       0.     0.47   302    77   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9550     349       2.     1.84   310     7   61.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9577     350       0.     0.32   272    86   61.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9605     351       1.     0.52   275    77   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9632     352       2.     1.75   323     4   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9659     353       0.     0.02   319    99   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9687     354       2.     1.88   301     7   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9714     355       1.     0.99   287    54   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9741     356       2.     1.84   298    11   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9769     357       2.     1.83   290    14   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9796     358       2.     1.94   290     9   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9824     359       2.     2.10   272     8   61.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9851     360       2.     2.06   269    11   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9878     361       2.     1.59   267    32   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9906     362       2.     1.76   297    16   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9933     363       1.     0.73   283    67   61.57
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2019.9961     364       1.     0.74   313    63   61.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0015       1       2.     1.67   345     8   61.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0043       2       2.     1.63   298    24   61.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0070       3       1.     0.93   279    60   61.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0097       4       0.     0.42   262    83   61.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0125       5       2.     1.68   306    21   61.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0152       6       2.     1.77   310    16   60.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0179       7       1.     0.59   322    71   60.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0207       8       1.     1.41   342    27   60.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0234       9       2.     2.11   294     3   60.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0261      10       1.     1.20   290    49   60.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0289      11       1.     1.29   294    45   60.32
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0316      12       2.     2.14   287    12   60.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0343      13       1.     0.86   278    66   60.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0371      14       1.     0.57   265    79   59.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0398      15       2.     1.80   295    26   59.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0425      16       1.     1.15   314    50   59.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0452      17       2.     2.04   330     6   59.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0480      18       1.     0.59   291    77   59.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0507      19       2.     2.02   337     9   59.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0535      20       0.     0.02   350    99   58.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0562      21       2.     1.76   392     9   58.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0589      22       2.     2.13   336     7   58.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0617      23       1.     1.35   312    47   58.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0644      24       2.     1.76   325    29   57.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0671      25       1.     0.92   343    61   57.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0698      26       1.     1.37   364    39   57.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0726      27       2.     1.66   375    25   57.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0753      28       1.     0.75   330    71   57.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0780      29       2.     2.06   343    18   56.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0808      30       2.     1.76   352    29   56.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0835      31       1.     1.38   349    46   56.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0780      29       2.     1.81   348    27   56.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0808      30       1.     0.54   353    78   56.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0835      31       2.     2.26   332    16   56.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0862      32       2.     2.00   282    39   56.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0890      33       1.     0.69   300    78   55.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0917      34       0.     0.46   289    86   55.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0944      35       1.     1.15   317    62   55.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0972      36       2.     2.09   338    27   54.95
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.0999      37       3.     3.01   306     7   54.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1026      38       2.     1.60   300    53   54.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1054      39       0.     0.50   275    87   54.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1081      40       2.     2.01   276    48   53.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1108      41       1.     0.63   276    84   53.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1136      42       3.     3.00   305    16   53.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1163      43       3.     2.73   319    21   52.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1190      44       2.     2.08   324    40   52.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1218      45       3.     3.09   338     8   52.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1245      46       3.     3.06   323    15   51.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1272      47       2.     2.27   314    40   51.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1299      48       1.     0.94   321    75   51.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1327      49       2.     2.46   423    12   50.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1354      50       3.     3.03   372     4   50.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1382      51       3.     3.24   356     7   50.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1409      52       2.     2.05   316    50   49.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1436      53       1.     0.91   294    80   49.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1464      54       2.     2.11   291    55   49.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1491      55       4.     3.56   349     5   48.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1518      56       3.     2.91   365    22   48.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1545      57       2.     2.05   424    36   48.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1627      60       4.     3.78   357     4   46.93
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1655      61       4.     3.77   353    11   46.55
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1682      62       2.     1.56   367    62   46.18
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1709      63       4.     4.10   348     5   45.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1737      64       4.     3.68   321    26   45.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1764      65       1.     0.55   374    87   45.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1791      66       3.     3.07   404    22   44.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1819      67       5.     4.53   338     4   44.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1846      68       5.     4.77   328     4   43.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1873      69       2.     2.11   327    60   43.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1901      70       2.     1.68   369    64   43.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1928      71       2.     2.27   350    55   42.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1955      72       4.     3.92   332    28   42.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.1983      73       5.     5.47   312     8   41.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2010      74       3.     3.00   314    50   41.49
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2037      75       3.     2.97   348    45   41.09
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2064      76       5.     5.34   325    10   40.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2092      77       5.     5.06   318    18   40.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2119      78       4.     3.84   290    45   39.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2146      79       5.     5.14   278    31   39.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2174      80       3.     2.50   326    60   39.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2201      81       3.     2.98   326    53   38.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2229      82       2.     1.64   321    75   38.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2256      83       4.     3.59   336    43   37.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2283      84       2.     1.68   333    74   37.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2311      85       6.     5.80   344     7   37.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2338      86       3.     2.90   321    58   36.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2365      87       2.     2.08   315    71   36.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2392      88       4.     4.04   307    46   35.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2420      89       5.     4.78   355    25   35.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2447      90       2.     1.78   326    75   35.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2447      90       4.     3.99   375    34   35.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2474      91       5.     5.36   391     6   34.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2502      92       5.     4.68   364    27   34.27
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2529      93       3.     3.29   323    56   33.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2556      94       5.     4.75   328    36   33.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2584      95       6.     6.35   339    12   33.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2611      96       4.     4.46   366    33   32.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2638      97       6.     6.37   358     3   32.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2666      98       7.     6.82   337     9   31.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2693      99       4.     4.08   420    30   31.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2720     100       6.     6.07   378     9   31.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2748     101       4.     4.11   336    47   30.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2775     102       5.     4.66   295    49   30.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2802     103       8.     7.92   310     9   30.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2830     104       8.     7.88   317     5   29.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2857     105       6.     6.49   375     8   29.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2884     106       5.     4.65   378    34   28.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2911     107       2.     2.47   389    64   28.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2939     108       7.     6.96   345    13   28.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2966     109       2.     1.54   344    81   27.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.2994     110       3.     3.13   371    58   27.43
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3021     111       7.     7.15   361     6   27.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3048     112       2.     2.09   330    76   26.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3076     113       4.     4.17   350    49   26.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3103     114       4.     4.35   351    47   26.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3130     115       4.     3.81   337    56   25.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3157     116       2.     2.24   395    69   25.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3185     117       4.     4.23   359    48   25.02
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3212     118       7.     6.85   335    23   24.69
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3239     119       3.     2.83   321    70   24.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3294     121       5.     5.20   391    31   23.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3321     122       9.     8.71   325     5   23.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3349     123       4.     3.91   284    65   23.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3376     124       9.     8.52   334     4   22.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3403     125       3.     3.06   309    70   22.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3431     126       2.     2.25   344    75   22.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3458     127       7.     7.40   380     8   21.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3485     128       4.     4.04   354    54   21.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3513     129       6.     6.47   385    19   21.35
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3540     130       8.     8.34   348     4   21.08
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3567     131       6.     6.28   381    23   20.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3595     132       7.     6.51   383    20   20.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3622     133       8.     7.82   364    10   20.28
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3649     134       7.     7.33   338    23   20.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3677     135       9.     8.55   327    14   19.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3704     136       7.     6.79   319    34   19.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3731     137       7.     7.29   305    33   19.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3758     138       2.     1.69   281    86   19.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3786     139       8.     8.12   308    25   18.84
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3813     140       6.     5.54   323    46   18.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3841     141       8.     7.69   324    25   18.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3868     142       4.     4.42   324    57   18.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3895     143       8.     7.70   350    18   17.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3923     144       5.     4.93   303    56   17.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3950     145       5.     5.48   314    49   17.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.3977     146       8.     7.85   318    26   17.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4004     147       9.     9.21   307    17   17.23
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4032     148       8.     7.81   295    33   17.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4059     149       7.     7.04   298    39   16.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4086     150       8.     8.27   317    23   16.73
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4114     151       9.     9.48   329     4   16.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4961     182       4.     3.78   327    64   15.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.4988     183       9.     8.98   328    14   15.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5015     184      10.    10.00   317     8   15.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5043     185       8.     8.34   321    22   15.34
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5070     186      10.     9.58   316    12   15.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5097     187       8.     8.39   312    24   15.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5125     188       4.     3.73   306    67   15.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5152     189      10.    10.42   305     8   15.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5179     190      10.     9.69   303    15   15.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5207     191       6.     5.69   298    51   15.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5234     192       8.     8.18   296    30   16.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5261     193      10.     9.78   317     9   16.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5289     194      10.     9.73   312    11   16.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5316     195       9.     9.11   326    12   16.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5343     196       9.     9.22   307    17   16.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5371     197       9.     8.73   298    24   16.78
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5398     198       7.     7.36   297    36   16.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5425     199       9.     9.02   314    16   17.11
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5453     200       9.     9.14   307    17   17.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5480     201       9.     9.41   305    15   17.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5507     202       9.     9.49   314    11   17.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5534     203      10.     9.58   308    12   17.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5562     204      10.    10.07   303     9   18.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5589     205       4.     4.42   290    62   18.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5617     206       7.     6.75   322    34   18.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5644     207      10.     9.50   307    12   18.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5671     208       9.     9.37   304    14   18.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5698     209      10.     9.80   306     9   19.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5726     210       9.     9.30   301    15   19.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5753     211      10.     9.71   298    12   19.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5780     212       3.     3.04   283    74   19.85
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5808     213       9.     8.83   296    20   20.10
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5835     214       7.     7.38   292    34   20.36
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5862     215       6.     5.81   277    51   20.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5890     216      10.     9.70   285    15   20.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5917     217       8.     8.33   284    27   21.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5944     218       8.     7.88   286    30   21.44
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5972     219       8.     8.08   299    24   21.72
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.5999     220       7.     7.34   312    27   22.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6026     221       9.     9.39   304     9   22.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6054     222       8.     8.42   307    17   22.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6081     223       8.     7.82   302    24   22.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6108     224       7.     6.97   294    34   23.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6136     225       4.     3.58   286    67   23.51
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6163     226       9.     8.67   291    18   23.82
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6190     227       4.     3.87   279    65   24.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6218     228       3.     2.84   289    73   24.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6245     229       9.     8.50   303    14   24.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6272     230       8.     8.41   304    14   25.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6300     231       6.     5.97   302    39   25.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6327     232       9.     8.53   300    13   25.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6354     233       6.     6.26   287    39   26.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6381     234       6.     5.66   289    44   26.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6409     235       8.     7.81   305    17   26.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6436     236       9.     8.56   303     9   27.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6463     237       9.     8.64   296    10   27.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6491     238       9.     8.99   290     6   27.90
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6518     239       8.     7.77   295    18   28.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6545     240       8.     7.86   290    18   28.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6573     241       4.     3.95   275    61   29.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6600     242       8.     8.41   292    10   29.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6627     243       5.     5.35   280    45   29.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6627     243       8.     7.69   274    23   29.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6655     244       7.     7.45   270    26   30.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6682     245       9.     8.54   279    11   30.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6709     246       9.     8.54   285     7   30.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6737     247       8.     8.45   285     7   31.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6764     248       8.     7.90   299     5   31.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6791     249       8.     7.92   296     7   32.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6819     250       7.     7.11   288    19   32.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6846     251       6.     5.63   266    41   32.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6873     252       6.     6.43   269    31   33.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6901     253       4.     4.31   275    52   33.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6928     254       7.     7.28   272    19   33.99
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6955     255       6.     6.20   266    32   34.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.6983     256       6.     6.26   290    23   34.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7010     257       7.     7.35   292     7   35.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7037     258       7.     6.56   306    12   35.58
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7065     259       2.     1.57   278    81   35.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7092     260       3.     3.21   293    58   36.39
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7119     261       5.     4.68   281    41   36.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7146     262       5.     5.45   296    26   37.19
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7174     263       5.     4.58   288    39   37.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7201     264       7.     6.88   286     3   38.00
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7229     265       7.     6.90   282     6   38.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7256     266       2.     2.09   262    74   38.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7283     267       3.     3.25   273    57   39.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7311     268       3.     3.25   275    56   39.61
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7338     269       4.     3.91   272    47   40.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7365     270       7.     6.61   272     9   40.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7392     271       3.     2.65   259    65   40.81
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7420     272       6.     6.23   282     4   41.21
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7474     274       6.     6.04   282     2   42.01
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7502     275       6.     6.05   278     3   42.40
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7529     276       6.     6.03   275     4   42.80
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7556     277       5.     4.78   268    28   43.20
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7584     278       5.     4.84   292    18   43.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7611     279       5.     5.31   294     5   43.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7638     280       6.     5.53   280     4   44.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7666     281       6.     5.56   275     3   44.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7693     282       5.     4.98   272    17   45.14
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7720     283       2.     2.26   270    62   45.53
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7748     284       2.     1.52   261    75   45.91
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7775     285       1.     1.40   267    76   46.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7802     286       3.     2.56   269    55   46.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7830     287       5.     5.10   271     6   47.04
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7857     288       5.     5.10   267     6   47.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7884     289       1.     0.72   262    87   47.79
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7911     290       5.     4.57   285     3   48.15
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7939     291       4.     4.47   272    13   48.52
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7966     292       4.     4.29   275    14   48.88
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.7993     293       3.     2.95   286    37   49.24
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8021     294       4.     3.91   289    14   49.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8048     295       4.     3.90   288    13   49.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8075     296       3.     3.43   288    22   50.29
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8103     297       4.     3.92   278    13   50.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8130     298       0.     0.32   269    93   50.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8157     299       2.     2.05   277    53   51.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8185     300       3.     2.73   270    38   51.65
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8212     301       2.     1.57   275    63   51.98
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8239     302       0.     0.47   249    90   52.30
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8267     303       1.     1.16   271    72   52.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8294     304       3.     2.76   273    32   52.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8294     304       1.     0.55   280    86   52.94
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8321     305       3.     2.93   333     5   53.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8349     306       3.     3.11   311     3   53.56
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8376     307       3.     3.17   301     4   53.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8403     308       3.     2.99   306    10   54.16
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8431     309       3.     2.95   311     8   54.46
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8458     310       3.     2.99   282    15   54.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8485     311       3.     3.32   272     4   55.03
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8513     312       3.     3.49   256     4   55.31
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8540     313       4.     3.50   236    14   55.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8567     314       1.     1.25   235    69   55.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8595     315       1.     0.59   235    85   56.12
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8622     316       2.     1.51   258    57   56.38
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8649     317       3.     2.99   273     5   56.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8677     318       2.     1.99   264    40   56.89
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8704     319       3.     2.84   278     5   57.13
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8731     320       1.     1.42   327    44   57.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8758     321       3.     2.54   299     4   57.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8786     322       3.     2.66   283     5   57.83
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8813     323       3.     2.82   265     3   58.05
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8840     324       2.     2.38   265    21   58.26
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8868     325       2.     2.16   269    26   58.47
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8895     326       2.     2.35   301     3   58.67
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8923     327       3.     2.54   277     4   58.87
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8950     328       2.     2.26   255    24   59.06
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.8977     329       1.     1.36   284    48   59.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9004     330       2.     1.78   253    39   59.42
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9032     331       2.     2.20   289    12   59.60
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9059     332       2.     2.37   278     3   59.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9086     333       1.     0.75   264    72   59.92
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9141     335       1.     1.37   306    39   60.22
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9168     336       1.     1.48   282    39   60.37
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9196     337       2.     1.98   272    21   60.50
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9223     338       1.     1.36   286    42   60.63
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9250     339       1.     1.20   278    50   60.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9278     340       2.     2.17   275    10   60.86
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9305     341       1.     0.86   276    64   60.97
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9332     342       2.     1.96   301     9   61.07
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9360     343       2.     1.65   292    25   61.17
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9387     344       2.     2.36   253     5   61.25
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9414     345       2.     2.14   258    14   61.33
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9442     346       1.     1.27   261    48   61.41
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9469     347       2.     1.81   286    18   61.48
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9496     348       0.     0.14   302    93   61.54
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9524     349       2.     2.12   272     8   61.59
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9551     350       0.     0.24   265    90   61.64
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9578     351       2.     1.73   304    15   61.68
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9605     352       1.     1.23   328    34   61.71
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9633     353       1.     1.42   284    35   61.74
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9660     354       1.     0.66   281    70   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9688     355       1.     0.90   288    58   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9715     356       1.     1.38   307    31   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9742     357       2.     2.01   248    20   61.77
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9770     358       1.     1.08   270    53   61.76
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9797     359       1.     1.14   288    47   61.75
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9824     360       1.     1.20   328    36   61.72
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9851     361       2.     1.94   295     6   61.70
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9879     362       1.     1.49   284    32   61.66
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9906     363       2.     1.87   306     5   61.62
                       Maryland, Berlin_21811    21811  0.01     38.3226    -75.2177   2020.9933     364       2.     2.01   284     9   61.57
