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facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,271 | source_units_unspecified | North | North1271 | dolbeau | Canada | POLYGON ((-73.171737 48.196908, -73.836874 48.251112, -74.101395 48.434243, -73.454396 49.503114, -73.294749 49.628049, -72.35835 50.498351, -70.762395 52.413453, -70.482238 52.039537, -70.622205 51.648719, -71.472274 49.553803, -71.500548 49.498663, -71.574685 49.381618, -72.025571 48.846201, -72.073891 48.707361, -72... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,664 | source_units_unspecified | Europe | Europe664 | palermo | Italy | MULTIPOLYGON (((12.626358 37.823068, 12.581514 37.833828, 12.463397412092947 37.912269413862475, 12.467204 37.915231, 12.473076 37.925896, 12.488505 37.94461, 12.489759092722776 37.94715204922215, 12.498467 37.964803, 12.493754 37.978079, 12.494353 37.984906, 12.506891 37.994573, 12.509916 38.009659, 12.499372 38.01469... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,206 | source_units_unspecified | Africa | Africa206 | el-misharrak qibli | Egypt | POLYGON ((28.444688 28.64421, 29.242836 29.534485, 29.424905 29.679245, 30.387295 29.873865, 30.397393 29.874337, 30.406695 29.875555, 30.684501 29.724635, 30.695667 29.685967, 30.693415 29.422009, 30.708133 29.400735, 30.729856 29.381085, 30.737974 29.376846, 30.77914 29.32241, 30.774936 29.306301, 30.774726 29.301837... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,475 | source_units_unspecified | North | North475 | anchorage | United States | MULTIPOLYGON (((-147.3797341324976 60.02318520141237, -147.50341808388345 60.06629220067574, -147.491361 60.069687, -147.406001 60.112631, -147.376661 60.141636, -147.378736 60.158995, -147.346673 60.168583, -147.34623540912384 60.16888609849503, -147.2655959411887 60.10365603752371, -147.267225 60.102432, -147.365425 ... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,558 | source_units_unspecified | Africa | Africa558 | blantyre | Malawi | POLYGON ((35.061233 -17.734307, 34.863882 -17.891804, 34.544487 -17.50281, 34.254607 -17.320485, 34.09252 -17.109633, 34.077983 -17.022531, 34.110077 -16.863539, 34.308685 -16.643042, 34.262741 -16.07399, 33.884629 -15.486154, 33.997028 -15.342425, 34.384046 -15.372836, 34.806951 -15.190979, 34.728463 -15.020117, 34.93... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,356 | source_units_unspecified | Europe | Europe356 | alessandria | Italy | POLYGON ((8.785009 44.55615, 8.759285 44.570318, 8.740088 44.652639, 8.720231 44.651843, 8.705241 44.660316, 8.685729 44.656462, 8.68478 44.708009, 8.653547 44.717875, 8.629458 44.713347, 8.603183 44.738997, 8.601959 44.751325, 8.559432 44.776071, 8.55194 44.775501, 8.504123 44.786407, 8.498297 44.794453, 8.506847 44.8... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,451 | source_units_unspecified | Europe | Europe1451 | villersexel | France | POLYGON ((6.41083 47.441161, 6.37278 47.458784, 6.345781 47.450977, 6.337091 47.456342, 6.320087 47.475643, 6.320188 47.480278, 6.282963 47.544077, 6.282947 47.545502, 6.329906 47.556713, 6.334242 47.555524, 6.380928 47.568058, 6.386937 47.575572, 6.42277 47.568877, 6.453076 47.582375, 6.4544 47.583852, 6.476534 47.587... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,738 | source_units_unspecified | North | North738 | tahlequah | United States | POLYGON ((-94.635069 35.613074, -94.740718 35.621376, -94.746615 35.629763, -94.837017 35.689581, -94.84842 35.682322, -94.862948 35.662809, -94.998824 35.670909, -95.007046 35.685526, -95.041765 35.718476, -95.110131 35.726692, -95.146803 35.761544, -95.154366 35.8281, -95.226634 35.886517, -95.258858 35.957255, -95.2... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,637 | source_units_unspecified | Europe | Europe637 | koppang | Norway | POLYGON ((11.029925 61.202089, 10.86309 61.226223, 10.797559 61.257266, 10.769235 61.295842, 10.66416 61.53623, 10.523315 61.651797, 10.492151 61.728274, 10.851271 62.059319, 11.039093 62.102262, 11.172925 62.074101, 11.265696 62.101729, 11.470391 62.105945, 11.556004 62.090146, 11.679478 61.545593, 11.670262 61.515232... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,170 | source_units_unspecified | Europe | Europe1170 | excideuil | France | POLYGON ((1.052701 45.233906, 1.024691 45.282603, 1.003973 45.281428, 0.979707 45.264719, 0.97311 45.249668, 0.93616 45.25214, 0.92428 45.247569, 0.88398 45.275875, 0.917018 45.321523, 0.920743 45.331279, 0.923767 45.331058, 0.971444 45.387262, 0.98014 45.383704, 0.991395 45.367967, 1.018639 45.361443, 1.038769 45.4009... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,656 | source_units_unspecified | Asia | Asia656 | dong hoi | Vietnam | POLYGON ((106.637165 16.937292, 106.474102 16.967417, 106.446151 16.991289, 106.258335 17.141632, 106.296076 17.18885, 106.304424 17.20259, 106.341782 17.271142, 106.396502 17.419529, 106.511012 17.496097, 106.60767291369548 17.5206597059504, 106.6272629 17.49499, 106.6360649 17.477221, 106.649512 17.458482, 106.650754... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,355 | source_units_unspecified | Oceania | Oceania355 | forster | Australia | MULTIPOLYGON (((152.40143 -32.351524, 152.370741 -32.285813, 152.37214 -32.268287, 152.243223 -32.242374, 152.254054 -32.22133, 152.230272 -32.123259, 152.279516 -32.109693, 152.309175 -32.136579, 152.347343 -32.113284, 152.368895 -32.026218, 152.369603 -32.026132, 152.403169 -32.005116, 152.469422 -32.048104, 152.4987... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,235 | source_units_unspecified | North | North1235 | mount vernon | United States | MULTIPOLYGON (((-122.392086 47.9063, -122.394423 47.921877, -122.412906 47.9128, -122.430327 47.917798, -122.445443 47.929913, -122.44076 47.951845, -122.44213807141975 47.95447711175766, -122.446682 47.963156, -122.46390942561294 47.981703170554596, -122.46933 47.987539, -122.48448 47.991265, -122.502429 47.98706, -12... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 302,134 | source_units_unspecified | Europe | Europe2134 | epinal | France | POLYGON ((6.616241 47.838317, 6.568603 47.899268, 6.551849 47.897291, 6.530284 47.908897, 6.462728 47.88887, 6.456133 47.89031, 6.440489 47.921357, 6.395008 47.953114, 6.390292 47.965808, 6.39021 47.969962, 6.386617 47.978549, 6.444063 48.057738, 6.43828 48.066005, 6.424213 48.07526, 6.376067 48.070617, 6.364567 48.052... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,751 | source_units_unspecified | Africa | Africa751 | kaga bandoro | Central African Republic | POLYGON ((19.332544 5.127756, 18.320658 5.627057, 18.054459 6.450215, 17.772382 6.702155, 17.770393 6.710365, 17.793478 6.959379, 18.898584 8.115223, 19.228887 8.237934, 20.215887 8.33197, 21.129423 7.826653, 19.865167 6.305839, 19.874681 5.779116, 19.332544 5.127756)) | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,583 | source_units_unspecified | Europe | Europe1583 | saint-florent | France | POLYGON ((9.317261 42.549001, 9.241425 42.555853, 9.240437 42.5556, 9.219778 42.58138, 9.213561 42.60076, 9.205002 42.681578, 9.170842116473478 42.733839289599054, 9.191193 42.726248, 9.199121 42.725041, 9.220806 42.735593, 9.235759 42.719582, 9.253595 42.717633, 9.259597 42.700365, 9.277032 42.692665, 9.284527 42.6761... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,594 | source_units_unspecified | Africa | Africa594 | rumonge | Burundi | POLYGON ((29.788623 -4.001711, 29.728605 -4.081151, 29.514268 -4.155637, 29.507024 -4.165576, 29.331684 -4.242778, 29.20023 -3.84031, 29.006157 -3.735229, 29.202696 -3.54864, 29.35491 -3.549796, 29.435471 -3.449482, 29.448683 -3.445557, 29.454612 -3.447676, 29.585643 -3.38364, 29.636025 -3.433444, 29.766766 -3.422257, ... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,270 | source_units_unspecified | North | North1270 | saint-felicien | Canada | POLYGON ((-72.800629 48.094503, -73.171737 48.196908, -72.650907 48.680679, -72.4168 48.765866, -72.346522 48.763222, -72.336656 48.753356, -72.238414 48.71652, -72.073891 48.707361, -72.049621 48.64909, -72.06884 48.62519, -72.188311 48.419742, -72.288662 48.369539, -72.454884 48.330938, -72.534743 48.291021, -72.8006... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,171 | source_units_unspecified | North | North1171 | saltillo | Mexico | POLYGON ((-101.08413 24.904269, -101.261047 24.997027, -101.280202 25.019614, -101.848882 25.191941, -101.771915 26.091375, -101.431825 26.080027, -101.166932 26.179335, -101.053368 26.069669, -100.769304 25.664949, -100.662804 25.589762, -100.65466 25.575798, -100.521441 25.488719, -100.49884 25.469057, -100.854132 25... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,785 | source_units_unspecified | Europe | Europe785 | manosque | France | POLYGON ((5.790706 43.532779, 5.769282 43.55074, 5.721011 43.560924, 5.688313 43.593708, 5.65517 43.581245, 5.598629 43.602618, 5.615549 43.679967, 5.611476 43.684903, 5.609562 43.71824, 5.630846 43.742686, 5.602853 43.79253, 5.603406 43.815112, 5.550145 43.830725, 5.551429 43.859142, 5.524009 43.899557, 5.523341 43.90... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,896 | source_units_unspecified | Asia | Asia896 | marawi city | Philippines | POLYGON ((124.409007 7.597697, 124.345117 7.60074, 124.272433 7.628951, 124.170614 7.602733, 124.162687 7.606822, 124.11789 7.681674, 124.09743 7.689907, 124.028841 7.671372, 123.963447 7.739587, 124.005759 7.812197, 124.006307 7.822306, 124.004936 7.830906, 123.976027 7.895842, 123.97954 7.909799, 123.983643 7.911524,... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,727 | source_units_unspecified | Africa | Africa727 | morombe | Madagascar | POLYGON ((44.287908 -21.88788, 44.130371 -22.432256, 43.483321 -22.124261, 43.22313443302321 -22.257306853872034, 43.220066 -22.251049, 43.231782 -22.247173, 43.236268 -22.237549, 43.236214 -22.225956, 43.237731 -22.220368, 43.236982 -22.212112, 43.231494 -22.205914, 43.227468 -22.198391, 43.228219 -22.191206, 43.23222... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,298 | source_units_unspecified | Asia | Asia298 | klebang besar | Malaysia | POLYGON ((102.2239594565906 2.198567843791661, 102.21869 2.202786, 102.214676 2.207659, 102.203392 2.21392, 102.192558 2.205553, 102.19361 2.215141, 102.18410004688036 2.2197336438276625, 102.183563 2.219993, 102.170616 2.22064, 102.164454 2.216812, 102.154247 2.216754, 102.14667742695912 2.2310071388443684, 102.138621... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,013 | source_units_unspecified | Europe | Europe1013 | perpignan | France | POLYGON ((2.895467 42.665125, 2.868203 42.675682, 2.865699 42.680428, 2.841359 42.687328, 2.825102 42.726881, 2.811605 42.723552, 2.781049 42.730259, 2.77905 42.731758, 2.781988 42.750475, 2.810463 42.773422, 2.813598 42.818969, 2.833839 42.834658, 2.826229 42.8818, 2.855309 42.910079, 2.891146 42.919327, 2.928582 42.8... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,699 | source_units_unspecified | North | North699 | stockton | United States | POLYGON ((-120.909047 36.693724, -120.999408 36.814778, -121.096813 36.910754, -121.19715 37.039641, -121.20653 37.057361, -121.249798 37.099587, -121.292608 37.187833, -121.296738 37.194421, -121.334562 37.237965, -121.341681 37.250268, -121.390206 37.309083, -121.424859 37.339101, -121.476454 37.395005, -121.525499 3... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,208 | source_units_unspecified | Africa | Africa208 | el maimun | Egypt | POLYGON ((32.064156 28.74879, 31.632701 28.968582, 31.410426 29.127236, 31.140285 29.245228, 31.127796 29.241123, 31.102329 29.295667, 31.055826 29.348267, 31.060449 29.373866, 31.096467 29.390236, 31.13022 29.446221, 31.199124 29.425478, 31.202322 29.418291, 31.221873 29.403185, 31.281217 29.455314, 31.298521 29.46110... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,148 | source_units_unspecified | Africa | Africa148 | quartier militaire | Mauritius | POLYGON ((57.605145 -20.273793, 57.573914 -20.278227, 57.574537 -20.242259, 57.574959 -20.241218, 57.604576 -20.235086, 57.608603 -20.230995, 57.621851 -20.234469, 57.64747 -20.207426, 57.661145 -20.217184, 57.684732 -20.215649, 57.697323 -20.238947, 57.701287 -20.242312, 57.722614 -20.241671, 57.730226 -20.247396, 57.... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,706 | source_units_unspecified | Africa | Africa706 | dodoma | Tanzania | POLYGON ((37.88422 -7.764615, 37.758032 -8.399289, 37.679366 -8.378648, 37.509094 -8.305817, 36.512835 -7.685113, 36.506097 -7.534277, 36.430067 -7.27935, 35.885385 -7.09149, 35.71186 -7.10595, 34.931553 -6.964097, 35.061743 -6.806889, 35.689394 -5.642361, 35.713732 -5.517991, 35.765381 -5.506069, 35.991195 -5.456979, ... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,224 | source_units_unspecified | Oceania | Oceania224 | corryong | Australia | MULTIPOLYGON (((148.026759 -36.746825, 147.72711 -36.676366, 147.66207 -36.46102, 147.573034 -36.415834, 147.498082 -36.175022, 147.503398 -36.158536, 147.507156 -36.116603, 147.527682 -36.054229, 147.590556 -36.062284, 147.685263 -36.08903, 147.814521 -36.049841, 147.869896 -36.113699, 147.909946 -36.122043, 147.98680... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,746 | source_units_unspecified | Oceania | Oceania746 | bundaberg | Australia | POLYGON ((152.227249 -25.023236, 152.216548 -25.079111, 152.116602 -25.049624, 152.091726 -25.057632, 152.074615 -25.047558, 152.020378 -25.040128, 152.060739 -24.918558, 152.10544 -24.93121, 152.184276 -24.838773, 152.189305 -24.839144, 152.200485 -24.832098, 152.298695 -24.855692, 152.304314 -24.860776, 152.370349 -2... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,300 | source_units_unspecified | Oceania | Oceania300 | wollongong | Australia | MULTIPOLYGON (((150.685281 -34.836071, 150.679507 -34.832097, 150.622873 -34.780747, 150.610362 -34.767086, 150.688165 -34.687907, 150.69007 -34.678296, 150.675456 -34.655494, 150.654109 -34.637157, 150.647124 -34.63349, 150.625138 -34.551043, 150.66711 -34.484822, 150.663976 -34.427556, 150.827675 -34.49733, 150.83272... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 302,113 | source_units_unspecified | Europe | Europe2113 | choisy-au-bac | France | POLYGON ((2.960778 49.311124, 2.943692 49.329655, 2.89865 49.318744, 2.867195 49.333104, 2.846868 49.350313, 2.847717 49.362446, 2.874399 49.393304, 2.871824 49.398067, 2.863728 49.438803, 2.872771 49.459009, 2.877019 49.463397, 2.876687 49.469438, 2.888646 49.479371, 2.890949 49.491875, 2.918201 49.494187, 2.925 49.49... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,156 | source_units_unspecified | North | North1156 | big arm | United States | POLYGON ((-114.418688 47.600024, -114.464282 47.697582, -114.450605 47.87355, -114.488303 47.98032, -114.356107 48.050226, -114.355603 48.04985, -114.269935 47.947965, -114.267778 47.947283, -114.14796 47.982555, -114.070266 47.878859, -114.077797 47.8731, -114.203694 47.827085, -114.210507 47.797484, -114.250125 47.74... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,437 | source_units_unspecified | North | North437 | ciudad mante | Mexico | POLYGON ((-99.150296 22.248125, -99.334313 22.259587, -99.338907 22.263881, -99.832202 22.26533, -99.838094 22.664714, -99.610374 22.707462, -99.443594 23.120405, -99.434347 23.12116, -99.232458 23.251523, -99.169699 23.499911, -98.812307 23.61333, -98.740853 23.611245, -98.633805 23.574042, -98.530249 23.383744, -98.4... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,211 | source_units_unspecified | North | North1211 | paducah | United States | POLYGON ((-88.020156 36.419628, -88.237927 36.517808, -88.267872 36.466129, -88.442779 36.490698, -88.473636 36.528602, -88.503006 36.524007, -88.521709 36.528322, -88.597557 36.522235, -88.673006 36.581486, -88.73814 36.571775, -88.860078 36.687936, -88.863364 36.688211, -88.899492 36.743521, -89.039503 36.724035, -89... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,545 | source_units_unspecified | Asia | Asia545 | tembilahan | Indonesia | MULTIPOLYGON (((102.591364 -1.184013, 102.339481 -1.026743, 102.280984 -1.009194, 102.257216 -1.010271, 102.06222 -0.860903, 101.884467 -0.830431, 101.822562 -0.779944, 101.750752 -0.751372, 101.73682 -0.752864, 101.609953 -0.809955, 101.518995 -0.815109, 101.275784 -0.603515, 101.202846 -0.606615, 101.176037 -0.572389... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,647 | source_units_unspecified | Europe | Europe1647 | citta di castello | Italy | POLYGON ((12.836646 42.98974, 12.751117 43.031719, 12.711781 43.067751, 12.693626 43.12984, 12.586225 43.106917, 12.48987 43.161751, 12.47381 43.235615, 12.350842 43.206969, 12.264444 43.233846, 12.230738 43.26147, 12.209235 43.298349, 12.202132 43.306174, 12.14416 43.312723, 12.098175 43.331037, 12.057113 43.374675, 1... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,355 | source_units_unspecified | North | North355 | mentor | United States | POLYGON ((-81.47029 41.324918, -81.500009 41.349697, -81.504554 41.368639, -81.505353 41.369045, -81.518181 41.368179, -81.556688 41.335514, -81.583784 41.34802, -81.572758 41.380991, -81.583438 41.396597, -81.580487 41.439707, -81.611891 41.46253, -81.618092 41.487443, -81.621647 41.490654, -81.640065 41.498406, -81.7... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,386 | source_units_unspecified | Europe | Europe386 | pula | Croatia | MULTIPOLYGON (((13.925056 44.768521, 13.906877 44.768645, 13.904144 44.777698, 13.903746 44.805589, 13.892389 44.809822, 13.872107051247886 44.809130961230586, 13.866473 44.808939, 13.856548 44.815547, 13.846089 44.826612, 13.847253 44.837054, 13.831501 44.839205, 13.830081 44.853844, 13.81836 44.860753, 13.801545 44.8... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,459 | source_units_unspecified | Asia | Asia459 | buon me thuot | Vietnam | POLYGON ((107.730597 11.731685, 107.666627 11.824815, 107.6085 11.863644, 107.425809 11.851952, 107.300748 12.060387, 107.186957 12.127415, 107.385917 12.311042, 107.455462 12.460025, 107.420757 12.824795, 107.408273 12.849031, 107.394971 12.882711, 107.351533 12.9583, 107.890146 12.9583, 107.901292 12.943974, 107.9371... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,614 | source_units_unspecified | Oceania | Oceania614 | evans head | Australia | POLYGON ((153.38599789939187 -29.226788991001026, 153.373378 -29.242413, 153.358856 -29.264965, 153.35247631031712 -29.27697799582642, 153.137267 -29.283947, 153.122371 -29.211869, 153.125714 -29.197935, 153.079463 -29.106826, 153.078708 -29.027062, 153.132426 -28.99151, 153.205925 -28.994345, 153.237186 -28.929634, 15... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,433 | source_units_unspecified | North | North1433 | wawa | Canada | POLYGON ((-84.57851 47.252281, -85.477213 47.418729, -85.769592 47.682743, -85.953306 47.750477, -85.836879 48.561751, -84.809253 49.639538, -84.614809 49.35379, -83.638014 48.70847, -83.329073 48.395655, -83.199955 48.211011, -83.02548 47.919622, -83.190824 47.760148, -83.316114 47.679743, -83.773153 47.577891, -84.36... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,864 | source_units_unspecified | North | North864 | santa fe | United States | POLYGON ((-104.940603 33.988265, -105.017255 34.000922, -105.378442 34.40144, -105.278858 34.911263, -105.33933 34.947017, -105.627756 34.995307, -105.648283 35.102186, -105.745898 35.246329, -106.057 35.282841, -106.062376 35.279146, -106.269598 35.295752, -106.274043 35.299694, -106.300753 35.376795, -106.233315 35.5... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 200,499 | source_units_unspecified | South | South499 | sinop | Brazil | POLYGON ((-54.592255 -13.982636, -55.392367 -14.446963, -55.551943 -14.489519, -55.62442 -14.477862, -55.671334 -14.422828, -55.758856 -14.397812, -56.562278 -13.920649, -56.268535 -13.415325, -56.374935 -13.165879, -56.713589 -13.069257, -56.953784 -12.568938, -57.377336 -12.404929, -57.374935 -12.159486, -57.951419 -... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,717 | source_units_unspecified | Europe | Europe717 | zalau | Romania | POLYGON ((22.960176 46.970504, 22.946092 46.992709, 22.874847 46.996018, 22.833025 47.014518, 22.784716 46.993495, 22.691167 47.014369, 22.683011 47.042841, 22.59538 47.069006, 22.571214 47.066131, 22.549012 47.084759, 22.458511 47.089834, 22.411365 47.146682, 22.482601 47.207339, 22.471832 47.266281, 22.44981 47.30373... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,111 | source_units_unspecified | Europe | Europe1111 | maribor | Slovenia | POLYGON ((15.578015 46.249138, 15.498368 46.305558, 15.468207 46.280605, 15.370818 46.325018, 15.370693 46.326395, 15.337584 46.367974, 15.283555 46.348308, 15.266446 46.350841, 15.236534 46.395938, 15.272481 46.456577, 15.336285 46.466149, 15.333522 46.52551, 15.395815 46.609599, 15.424468 46.607811, 15.439091 46.5990... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,579 | source_units_unspecified | Asia | Asia579 | swabi | Pakistan | POLYGON ((72.32225 33.91531, 72.270304 33.939444, 72.251054 33.983864, 72.216969 34.01251, 72.191249 34.067857, 72.188884 34.08335, 72.176296 34.094192, 72.159456 34.096857, 72.106989 34.108698, 72.10459 34.236738, 72.113204 34.24165, 72.201674 34.24165, 72.240281 34.289937, 72.275 34.281264, 72.393166 34.296068, 72.43... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,704 | source_units_unspecified | Asia | Asia704 | al-khabourah | Oman | POLYGON ((56.9784 23.478785, 56.956694 23.573865, 56.934908 23.612314, 56.845088 23.735658, 57.04600266395405 24.033446352605782, 57.054947 24.025859, 57.078908 24.00975, 57.102179 23.986741, 57.120763 23.971275, 57.14308464049278 23.95593647978503, 57.149554 23.951491, 57.187078 23.933227, 57.225234498197814 23.917237... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 302,411 | source_units_unspecified | Europe | Europe2411 | kovdor | Russia | POLYGON ((30.811605725974044 69.63055456590274, 30.807990347619533 69.63129895548813, 30.794526646068345 69.63157492573951, 30.794527121644418 69.63159321712698, 30.793527121644416 69.63161921712697, 30.79342490860727 69.6316218223768, 30.792343908607272 69.6316488223768, 30.790838927163687 69.63165051421785, 30.789763... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,777 | source_units_unspecified | Europe | Europe777 | murcia | Spain | POLYGON ((-1.535884 37.602687, -1.575828 37.683972, -1.766973 37.871135, -1.79419 37.872873, -1.863051 37.855011, -1.889062 37.84512, -2.059652 37.948479, -2.09153 37.973961, -2.083932 38.045859, -2.095582 38.157222, -1.823725 38.340474, -1.812302 38.372877, -1.564838 38.370425, -1.553335 38.381881, -1.480742 38.402857... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 600,895 | source_units_unspecified | Oceania | Oceania895 | warburton | Australia | POLYGON ((129.746961 -26.526293, 130.017334 -28.558827, 128.27259 -29.633146, 127.449835 -30.421004, 125.340707 -28.794098, 124.565848 -27.50122, 123.500699 -24.814177, 123.45763 -24.045154, 123.525648 -23.831591, 123.636554 -23.557463, 124.038123 -22.944382, 125.603675 -22.574483, 125.873079 -22.436292, 129.297022 -24... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,264 | source_units_unspecified | North | North1264 | timmins | Canada | POLYGON ((-81.491463 47.531163, -82.155371 47.532041, -82.763 47.915552, -82.609325 48.094456, -81.866455 48.729579, -81.4265 48.896673, -80.973598 50.193717, -80.908313 50.182243, -80.148973 50.033928, -80.157868 49.822185, -80.176908 49.676896, -80.114551 49.000896, -79.88542 48.590385, -80.16972 48.290184, -80.39825... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,419 | source_units_unspecified | Europe | Europe1419 | oberhausbergen | France | POLYGON ((7.547506 48.570664, 7.545633 48.572431, 7.531591 48.596039, 7.531575 48.603683, 7.52525 48.608079, 7.522937 48.612266, 7.524073 48.627267, 7.544512 48.65466, 7.540681 48.665395, 7.540758 48.669006, 7.547826 48.672535, 7.559063 48.691557, 7.591159 48.696172, 7.594653 48.686013, 7.618292 48.679994, 7.634383 48.... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,456 | source_units_unspecified | Africa | Africa456 | vryburg | South Africa | POLYGON ((25.595509 -27.341103, 25.459473 -27.413066, 25.226206 -27.414749, 25.061912 -27.535805, 24.929855 -27.407109, 24.822986 -27.186171, 24.491779 -27.180708, 24.435951 -27.149123, 24.361191 -27.109198, 24.357461 -26.938378, 24.29673 -26.890362, 23.743894 -26.616357, 23.640086 -26.687988, 22.897873 -26.385429, 22.... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,376 | source_units_unspecified | North | North1376 | greenville | United States | POLYGON ((-95.52765 32.558992, -95.589671 32.624291, -95.612159 32.632424, -95.640369 32.712937, -95.736801 32.777843, -95.750008 32.774201, -95.826338 32.78727, -95.86611 32.81349, -95.889375 32.814879, -95.936592 32.797853, -95.992669 32.810533, -96.07871 32.797201, -96.090369 32.805418, -96.205483 32.825117, -96.182... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,641 | source_units_unspecified | Africa | Africa641 | tombouctou | Mali | POLYGON ((-3.705709 15.207094, -4.426134 15.256072, -4.592064 15.278286, -5.25732 15.691153, -6.583905 18.057262, -6.582202 18.07049, -6.413508 22.250862, -6.381546 22.26636, -5.405014 22.812243, -2.723036 20.505556, -1.861544 19.497224, -1.615588 15.97347, -1.623185 15.928113, -2.414628 15.903475, -3.396895 15.554521,... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,456 | source_units_unspecified | Europe | Europe1456 | bordesholm | Germany | POLYGON ((10.050097 54.098496, 10.011252 54.134624, 9.997731 54.134121, 9.984003 54.172525, 9.974372 54.18502, 9.97298 54.191165, 9.970348 54.19518, 9.963773 54.226401, 9.936977 54.256435, 9.936993 54.256534, 9.960867 54.282085, 9.997538 54.293902, 9.998558 54.293867, 10.00237 54.290452, 10.073984 54.309388, 10.078297 ... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 400,879 | source_units_unspecified | Asia | Asia879 | aksaray | Turkey | POLYGON ((34.507104 38.029905, 34.354614 38.137229, 34.149357 38.146295, 34.077818 38.082115, 33.821036 38.188559, 33.728185 38.547178, 33.728974 38.564777, 33.724135 38.573855, 33.688125 38.612438, 33.271236 38.72033, 33.240762 38.79002, 33.376373 39.189783, 33.510404 39.195903, 33.662861 39.133832, 33.927928 39.21869... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,223 | source_units_unspecified | Europe | Europe1223 | korce | Albania | POLYGON ((20.861361 40.432347, 20.579598 40.529331, 20.518731 40.532271, 20.457467 40.621376, 20.419485 40.709895, 20.425676 40.730207, 20.26514 41.001541, 20.278392 41.039954, 20.184327 41.237708, 20.207139 41.278552, 20.375867 41.356867, 20.415609 41.344613, 20.434116 41.312276, 20.45979 41.186355, 20.504626 41.17447... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,693 | source_units_unspecified | Europe | Europe1693 | rosenheim | Germany | POLYGON ((12.108753 47.65753, 12.086354 47.660254, 12.081129 47.674422, 12.045074 47.725043, 12.002422 47.722544, 11.947862 47.780906, 11.914464 47.771069, 11.889555 47.785046, 11.85796 47.84504, 11.775739 47.804106, 11.757749 47.852761, 11.74063 47.867365, 11.729539 47.926845, 11.730865 47.934078, 11.718893 47.954258,... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,710 | source_units_unspecified | North | North1710 | gerlach | United States | POLYGON ((-118.992289 40.191034, -119.332501 40.202463, -119.745479 40.37873, -119.779552 40.441744, -119.795856 40.507455, -119.897696 40.806785, -119.860373 40.99968, -119.324529 41.49919, -118.752753 41.191149, -118.750505 40.753099, -118.748305 40.721487, -118.992289 40.191034)) | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,520 | source_units_unspecified | North | North520 | veracruz | Mexico | MULTIPOLYGON (((-96.033538 18.518241, -96.124113 18.561811, -96.18558 18.559095, -96.339416 18.64434, -96.430768 18.636066, -96.532488 18.708934, -96.548907 18.728874, -96.553357 18.734722, -96.560916 18.854714, -96.494911 18.928838, -96.531689 19.156705, -96.575572 19.183154, -96.59919 19.192176, -96.670525 19.164159,... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 300,495 | source_units_unspecified | Europe | Europe495 | chambery | France | POLYGON ((6.147378 45.338907, 6.079364 45.414385, 6.061867 45.420732, 6.055019 45.419722, 6.054278 45.421443, 6.051802 45.464725, 6.037325 45.475644, 6.019141 45.472535, 6.0145 45.454828, 6.002086 45.439939, 5.941247 45.467374, 5.935231 45.465957, 5.916408 45.48935, 5.910194 45.491114, 5.897978 45.550777, 5.887225 45.5... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 200,487 | source_units_unspecified | South | South487 | la rioja | Argentina | POLYGON ((-67.155736 -29.72617, -67.454365 -30.059064, -67.996513 -30.077586, -68.018849 -30.04088, -69.354489 -29.292437, -69.407137 -29.24462, -69.388123 -29.167517, -69.325583 -28.616415, -69.324438 -28.292754, -68.991864 -27.756676, -69.012995 -27.350929, -68.486446 -26.449079, -67.411065 -26.745325, -67.328587 -27... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 500,667 | source_units_unspecified | Africa | Africa667 | gobabis | Namibia | POLYGON ((19.14202 -23.282655, 18.245767 -23.362028, 18.224 -23.314719, 18.075731 -22.741891, 17.914345 -22.583901, 17.695699 -22.2502, 17.600117 -22.098495, 17.558374 -21.768607, 18.01862 -21.095058, 18.033076 -21.086021, 18.315109 -20.409162, 19.681377 -19.81324, 20.32513 -20.020208, 20.439128 -20.283275, 20.397166 -... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,922 | source_units_unspecified | North | North922 | cedar rapids | United States | POLYGON ((-92.039304 41.475692, -92.138819 41.493542, -92.147334 41.503754, -92.190366 41.507489, -92.267426 41.559057, -92.285362 41.539845, -92.339846 41.522292, -92.415709 41.536507, -92.449836 41.58127, -92.562029 41.498702, -92.613707 41.554903, -92.615826 41.6276, -92.486168 41.659381, -92.525827 41.839784, -92.5... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 301,650 | source_units_unspecified | Europe | Europe1650 | lanciano | Italy | POLYGON ((14.136784 41.91085, 14.078729 41.953298, 14.105821 42.043771, 14.106336 42.050434, 14.103957 42.080707, 14.10582 42.083366, 14.114456 42.100263, 14.115465 42.105848, 14.110375 42.135486, 14.083758 42.168258, 14.083348 42.182493, 14.071756 42.205778, 14.069207 42.223174, 14.09097 42.299942, 14.106476 42.31039,... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 100,727 | source_units_unspecified | North | North727 | russellville | United States | POLYGON ((-93.791045 34.74172, -93.844581 34.744583, -93.907114 34.965779, -93.936963 34.97024, -94.076249 35.068852, -94.092685 35.135128, -94.102816 35.143824, -94.134643 35.225348, -94.194205 35.262943, -94.211045 35.379972, -94.184098 35.3961, -94.176999 35.448694, -94.176355 35.449531, -94.091598 35.461143, -94.03... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 200,329 | source_units_unspecified | South | South329 | assis | Brazil | POLYGON ((-50.678203 -22.798994, -50.84519 -22.9214, -50.897985 -22.915476, -50.919397 -22.776967, -50.940469 -22.730165, -50.883271 -22.535681, -50.887733 -22.496595, -51.039428 -22.43824, -51.072233 -22.397243, -51.09659 -22.331932, -50.992633 -22.071731, -50.874404 -22.057993, -50.840263 -22.077127, -50.742949 -22.0... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
facebook-commuting-zones-fbcz-id-num-9ead086a | Facebook Commuting Zones - fbcz id num | DJI | Djibouti | 2023-03-05 | 2,023 | 101,230 | source_units_unspecified | North | North1230 | bellingham | United States | MULTIPOLYGON (((-122.158204 48.602514, -122.237557 48.611938, -122.276833 48.669207, -122.396735 48.674162, -122.432071 48.656379, -122.445059 48.658565, -122.49330835759254 48.64879692990844, -122.502739 48.656287, -122.489791 48.670405, -122.49911 48.702449, -122.519971 48.713011, -122.495222 48.737408, -122.4941 48.... | 2,023 | 2,023 | 2023 | AI for Good at Meta | Facebook Commuting Zones | data-for-good-at-meta-commuting-zones-march-2023.csv | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 | 3c068b51-5f0d-4ead-80ba-97312ec034e4 | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv | cc-by | 2026-08-16T10:32:57Z |
Facebook Commuting Zones | Africa (Djibouti official open data)
26,162 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official CSV resource from Djibouti as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in this repo.
About the source
- Source: Facebook Commuting Zones
- Publisher: AI for Good at Meta
- Resource: data-for-good-at-meta-commuting-zones-march-2023.csv
- Format:
CSV - License: CC BY 4.0
- Packaging mode:
indicator_long
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
DJI |
26,162 | 2023 | 2023 | Djibouti |
Indicators or Resource Contents
facebook-commuting-zones-fbcz-id-num-9ead086a- Facebook Commuting Zones - fbcz id numfacebook-commuting-zones-win-population-031d72bf- Facebook Commuting Zones - win populationfacebook-commuting-zones-win-roads-km-88a63c05- Facebook Commuting Zones - win roads kmfacebook-commuting-zones-area-edadb651- Facebook Commuting Zones - area
Schema
| Column | Type | Description | Example |
|---|---|---|---|
indicator_id |
string |
Stable indicator identifier. | facebook-commuting-zones-fbcz-id-num-9ead086a |
indicator_name |
string |
Human-readable indicator name. | Facebook Commuting Zones - fbcz id num |
country_iso3 |
string |
ISO3 country code. | DJI |
country_name |
string |
Country name. | Djibouti |
date |
string |
Observation date. | 2023-03-05 |
year |
Int64 |
Observation year. | 2023 |
value |
float64 |
Numeric observation value. | 101271.0 |
unit |
string |
Measurement unit, when available. | source_units_unspecified |
dimension_region |
string |
Source dimension. | North |
dimension_fbcz_id |
string |
Source dimension. | North1271 |
dimension_name |
string |
Source dimension. | dolbeau |
dimension_country |
string |
Source dimension. | Canada |
dimension_geography |
string |
Source dimension. | POLYGON ((-73.171737 48.196908, -73.836874 48.251112, -74.101395 48.4342 |
source_period_start_year |
Int64 |
First year inferred from source resource metadata. | 2023 |
source_period_end_year |
Int64 |
Last year inferred from source resource metadata. | 2023 |
source_period_label |
category |
Human-readable period inferred from source resource metadata. | 2023 |
source_provider |
category |
Publishing organization. | AI for Good at Meta |
source_dataset |
category |
Source package title. | Facebook Commuting Zones |
source_resource |
category |
Source resource title. | data-for-good-at-meta-commuting-zones-march-2023.csv |
source_package_id |
category |
CKAN package UUID. | b7aaa3d7-cca2-4364-b7ce-afe3134194a2 |
source_resource_id |
category |
CKAN resource UUID. | 3c068b51-5f0d-4ead-80ba-97312ec034e4 |
source_url |
category |
Original source resource URL. | https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/re |
license_id |
category |
Source license identifier. | cc-by |
retrieved_at |
category |
UTC retrieval timestamp. | 2026-08-16T10:32:57Z |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-djibouti-facebook-commuting-zones-8a78a339")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
sample_country = df[df["country_iso3"] == "DJI"]
Work with indicators
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
Citation
@misc{electric_sheep_africa_africa_djibouti_facebook_commuting_zones_8a78a339_2023,
title = {Facebook Commuting Zones | Africa (Djibouti official open data)},
author = {AI for Good at Meta},
year = {2023},
url = {https://data.humdata.org/dataset/commuting-zones},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-facebook-commuting-zones-8a78a339}}
}
License
Released under CC BY 4.0.
Original data (c) AI for Good at Meta. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use load_dataset()
to start working in seconds.
Browse the full collection: huggingface.co/electricsheepafrica
Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/b7aaa3d7-cca2-4364-b7ce-afe3134194a2/resource/3c068b51-5f0d-4ead-80ba-97312ec034e4/download/data-for-good-at-meta-commuting-zones-march-2023.csv
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