Washington D.C. inbound commuter counties 2020
Format
A data frame of 96 rows and four variables:
- id
five character FIPS code for state and county
- name
county name
- lat
latitude
- lon
longitude
Details
From the U.S. Census Bureau: "The American Community Survey (ACS) asks respondents about their primary workplace location. When information about workers’ residence location and workplace location are coupled, a commuting flow is generated. The origin-destination flow format informs our understanding of interconnectedness between communities, including the interchange of people, goods, and services." For additional information, see the page on commuter data.
References
Internal Revenue Service, Statistics of Income Division (2022). SOI Tax Stats - Migration Data. Last accessed October 26, 2024.
Examples
dc_sites
#> id name lat lon
#> 1 51683 Manassas 38.74960 -77.48478
#> 2 51600 Fairfax 38.85167 -77.30082
#> 3 51650 Hampton 37.03652 -76.35915
#> 4 51840 Winchester 39.17096 -78.17377
#> 5 51013 Arlington 38.87677 -77.10139
#> 6 51137 Orange 38.24532 -78.01505
#> 7 11001 District of Columbia 38.90417 -77.01654
#> 8 51043 Clarke 39.11294 -77.99185
#> 9 42001 Adams 39.87150 -77.21614
#> 10 24043 Washington 39.60765 -77.81777
#> 11 51810 Virginia Beach 36.73205 -76.04427
#> 12 24035 Queen Anne's 39.06194 -76.03564
#> 13 06059 Orange 33.70191 -117.76485
#> 14 51685 Manassas Park 38.77047 -77.44188
#> 15 51107 Loudoun 39.08984 -77.63475
#> 16 42041 Cumberland 40.16213 -77.26156
#> 17 51550 Chesapeake 36.67762 -76.30437
#> 18 24021 Frederick 39.47232 -77.39894
#> 19 12103 Pinellas 27.93109 -82.72284
#> 20 54027 Hampshire 39.32100 -78.60830
#> 21 25017 Middlesex 42.48685 -71.38800
#> 22 45051 Horry 33.92125 -78.99538
#> 23 51033 Caroline 38.03007 -77.34562
#> 24 24017 Charles 38.51091 -76.98581
#> 25 24011 Caroline 38.87155 -75.82907
#> 26 24025 Harford 39.54870 -76.30523
#> 27 42133 York 39.92125 -76.73021
#> 28 24027 Howard 39.25324 -76.92547
#> 29 10003 New Castle 39.57964 -75.64065
#> 30 24009 Calvert 38.53946 -76.56803
#> 31 51179 Stafford 38.41850 -77.45897
#> 32 24510 Baltimore 39.30145 -76.61007
#> 33 24003 Anne Arundel 39.00424 -76.60110
#> 34 42029 Chester 39.97365 -75.74628
#> 35 12099 Palm Beach 26.64674 -80.46528
#> 36 51760 Richmond 37.52644 -77.47093
#> 37 24031 Montgomery 39.13709 -77.20262
#> 38 51041 Chesterfield 37.37491 -77.58923
#> 39 06073 San Diego 33.03437 -116.73854
#> 40 24013 Carroll 39.56607 -77.02398
#> 41 48113 Dallas 32.76668 -96.77784
#> 42 24033 Prince George's 38.83157 -76.84802
#> 43 51061 Fauquier 38.73293 -77.80702
#> 44 36047 Kings 40.63083 -73.94742
#> 45 51069 Frederick 39.20161 -78.25973
#> 46 42101 Philadelphia 40.00740 -75.13414
#> 47 34013 Essex 40.78668 -74.24528
#> 48 51510 Alexandria 38.81401 -77.08183
#> 49 36061 New York 40.77773 -73.96869
#> 50 51187 Warren 38.90864 -78.20265
#> 51 54037 Jefferson 39.30697 -77.86031
#> 52 42003 Allegheny 40.46890 -79.98443
#> 53 51059 Fairfax 38.83566 -77.27458
#> 54 51193 Westmoreland 38.11025 -76.80192
#> 55 37081 Guilford 36.07978 -79.78828
#> 56 51630 Fredericksburg 38.29893 -77.48679
#> 57 51085 Hanover 37.75925 -77.48880
#> 58 12011 Broward 26.15176 -80.48730
#> 59 42055 Franklin 39.92939 -77.72163
#> 60 51157 Rappahannock 38.68297 -78.15836
#> 61 54003 Berkeley 39.46705 -78.02366
#> 62 37183 Wake 35.78800 -78.65091
#> 63 24005 Baltimore 39.45887 -76.62801
#> 64 51099 King George 38.26817 -77.15847
#> 65 51153 Prince William 38.70911 -77.48873
#> 66 37119 Mecklenburg 35.24395 -80.82809
#> 67 51610 Falls Church 38.88459 -77.17538
#> 68 51087 Henrico 37.53625 -77.40261
#> 69 51177 Spotsylvania 38.18588 -77.65509
#> 70 24029 Kent 39.24976 -76.04762
#> 71 51003 Albemarle 38.02092 -78.55534
#> 72 06037 Los Angeles 34.30781 -118.22842
#> 73 24037 St. Mary's 38.30054 -76.60602
#> 74 24041 Talbot 38.76615 -76.10887
#> 75 51047 Culpeper 38.47890 -77.95941
#> 76 17031 Cook 41.83998 -87.81672
#> 77 12095 Orange 28.51270 -81.32120
#> 78 10005 Sussex 38.66137 -75.39026
#> 79 37035 Catawba 35.66203 -81.21338