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2142541d-1b92-4fe5-accb-c3c3ec6bca04:200 | CAF | Central African Republic | DOM.12_1 | La Estrelleta | DO | gadm1 | 0.775 | 0.7919 | 0.8478 | 0.9287 | 0.9916 | 1.0401 | 1.0815 | 1.1157 | 1.1453 | 1.1704 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:201 | CAF | Central African Republic | NPL.4_1 | Mid-Western | NP | gadm1 | 0.5933 | 0.5756 | 0.575 | 0.5872 | 0.5977 | 0.6061 | 0.6131 | 0.6192 | 0.6247 | 0.6297 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:202 | CAF | Central African Republic | DZA.1_1 | Adrar | DZ | gadm1 | 0.2121 | 0.1926 | 0.1707 | 0.1594 | 0.1552 | 0.1531 | 0.1519 | 0.1513 | 0.1509 | 0.1507 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:203 | CAF | Central African Republic | NIC.16_1 | Nueva Segovia | NI | gadm1 | 0.738 | 0.7296 | 0.751 | 0.7996 | 0.839 | 0.8708 | 0.8969 | 0.9193 | 0.9383 | 0.955 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:204 | CAF | Central African Republic | VNM.22_1 | Hải Dương | VN | gadm1 | 0.5368 | 0.5077 | 0.5044 | 0.526 | 0.549 | 0.5693 | 0.5871 | 0.6026 | 0.6164 | 0.6286 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:205 | CAF | Central African Republic | IRQ.12_1 | Dihok | IQ | gadm1 | 0.2209 | 0.213 | 0.2023 | 0.1925 | 0.187 | 0.1837 | 0.1817 | 0.1802 | 0.1792 | 0.1785 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:206 | CAF | Central African Republic | TUN.19_1 | Siliana | TN | gadm1 | 0.4534 | 0.4238 | 0.3883 | 0.3692 | 0.361 | 0.3571 | 0.3558 | 0.3552 | 0.3554 | 0.3559 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:207 | CAF | Central African Republic | NZL.7_1 | Manawatu-Wanganui | NZ | gadm1 | 0.5985 | 0.5383 | 0.5034 | 0.4949 | 0.4955 | 0.4983 | 0.5019 | 0.5057 | 0.5097 | 0.5132 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:208 | CAF | Central African Republic | SDN.14_1 | South Darfur | SD | gadm1 | 0.2402 | 0.2371 | 0.2351 | 0.2397 | 0.2423 | 0.243 | 0.2428 | 0.242 | 0.241 | 0.2399 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:209 | CAF | Central African Republic | QAT.1_1 | Ad Dawhah | QA | gadm1 | 0.1926 | 0.1773 | 0.1741 | 0.1806 | 0.1857 | 0.1897 | 0.1925 | 0.1947 | 0.1963 | 0.1976 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:210 | CAF | Central African Republic | RUS.26_1 | Karelia | RU | gadm1 | 0.4847 | 0.4664 | 0.4931 | 0.5428 | 0.5641 | 0.5707 | 0.5752 | 0.5816 | 0.5839 | 0.5849 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:211 | CAF | Central African Republic | MDA.15_1 | Dubăsari | MD | gadm1 | 0.5818 | 0.5337 | 0.4877 | 0.4761 | 0.4796 | 0.4867 | 0.4934 | 0.4995 | 0.5045 | 0.5094 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:212 | CAF | Central African Republic | TUN.17_1 | Sfax | TN | gadm1 | 0.4834 | 0.449 | 0.4131 | 0.3921 | 0.3834 | 0.3794 | 0.3776 | 0.377 | 0.3772 | 0.3778 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:213 | CAF | Central African Republic | CHL.14_1 | Santiago Metropolitan | CL | gadm1 | 0.6047 | 0.5859 | 0.585 | 0.5958 | 0.6093 | 0.6224 | 0.6342 | 0.6446 | 0.6535 | 0.6612 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:214 | CAF | Central African Republic | SSD.6_1 | Unity | SS | gadm1 | 0.5135 | 0.4961 | 0.5003 | 0.5205 | 0.5442 | 0.5613 | 0.5748 | 0.5876 | 0.6003 | 0.6117 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:215 | CAF | Central African Republic | BGR.12_1 | Pernik | BG | gadm1 | 0.5223 | 0.4863 | 0.4585 | 0.4547 | 0.4597 | 0.4677 | 0.4761 | 0.4844 | 0.4922 | 0.4997 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:216 | CAF | Central African Republic | HND.3_1 | Colón | HN | gadm1 | 0.7264 | 0.7125 | 0.7179 | 0.7516 | 0.7836 | 0.8113 | 0.8352 | 0.8558 | 0.8741 | 0.8902 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:217 | CAF | Central African Republic | LSO.10_1 | Thaba-Tseka | LS | gadm1 | 0.7091 | 0.7139 | 0.7529 | 0.8168 | 0.8612 | 0.8951 | 0.9231 | 0.9471 | 0.965 | 0.9825 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:218 | CAF | Central African Republic | JPN.5_1 | Ehime | JP | gadm1 | 0.3228 | 0.3368 | 0.384 | 0.4329 | 0.4581 | 0.4723 | 0.4811 | 0.4869 | 0.4908 | 0.4936 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:219 | CAF | Central African Republic | TLS.11_1 | Manatuto | TL | gadm1 | 0.629 | 0.661 | 0.7764 | 0.8919 | 0.9656 | 1.0217 | 1.0574 | 1.0953 | 1.1251 | 1.1467 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:220 | CAF | Central African Republic | GNB.6_1 | Gabú | GW | gadm1 | 0.4666 | 0.4845 | 0.5228 | 0.5735 | 0.605 | 0.6274 | 0.6416 | 0.6542 | 0.664 | 0.6713 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:221 | CAF | Central African Republic | MUS.10_1 | Rodriguez | MU | gadm1 | 0.6363 | 0.6112 | 0.5984 | 0.6064 | 0.6204 | 0.6361 | 0.6502 | 0.6643 | 0.6774 | 0.6893 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:222 | CAF | Central African Republic | NGA.30_1 | Osun | NG | gadm1 | 0.6596 | 0.6531 | 0.6671 | 0.7038 | 0.7339 | 0.7584 | 0.7789 | 0.7967 | 0.8121 | 0.8259 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:223 | CAF | Central African Republic | GHA15_2 | Western | GH | gadm0 | 0.6143 | 0.6336 | 0.6959 | 0.7791 | 0.8359 | 0.8774 | 0.9103 | 0.9372 | 0.9599 | 0.9795 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:224 | CAF | Central African Republic | USA.25_1 | Mississippi | US | gadm1 | 0.6346 | 0.5969 | 0.5797 | 0.5836 | 0.592 | 0.6016 | 0.6114 | 0.6211 | 0.6304 | 0.6394 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:225 | CAF | Central African Republic | PAK.4_1 | Islamabad | PK | gadm1 | 0.1627 | 0.1587 | 0.1566 | 0.1586 | 0.1609 | 0.163 | 0.165 | 0.1667 | 0.1682 | 0.1696 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:226 | CAF | Central African Republic | CZE.10_1 | Plzeňský | CZ | gadm1 | 0.5752 | 0.5479 | 0.5365 | 0.5477 | 0.5616 | 0.5746 | 0.5859 | 0.5955 | 0.6037 | 0.6105 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:227 | CAF | Central African Republic | IRL.15_1 | Louth | IE | gadm1 | 0.541 | 0.5003 | 0.4699 | 0.4634 | 0.4675 | 0.4745 | 0.4819 | 0.4894 | 0.4964 | 0.5029 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:228 | CAF | Central African Republic | KHM.3_1 | Kâmpóng Cham | KH | gadm1 | 0.6418 | 0.6343 | 0.6551 | 0.6943 | 0.7241 | 0.748 | 0.7678 | 0.7847 | 0.7998 | 0.8132 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:229 | CAF | Central African Republic | BLZ.6_1 | Toledo | BZ | gadm1 | 0.6489 | 0.6386 | 0.6416 | 0.6669 | 0.6908 | 0.7128 | 0.7315 | 0.7495 | 0.7635 | 0.7781 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:230 | CAF | Central African Republic | QAT.6_1 | Madinat ash Shamal | QA | gadm1 | 0.1929 | 0.1736 | 0.1746 | 0.1853 | 0.2097 | 0.1873 | 0.2022 | 0.2097 | 0.2094 | 0.2135 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:231 | CAF | Central African Republic | TUR.63_1 | Ordu | TR | gadm1 | 0.3348 | 0.2955 | 0.2579 | 0.2331 | 0.2203 | 0.2127 | 0.208 | 0.2051 | 0.2032 | 0.202 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:232 | CAF | Central African Republic | BGR.19_1 | Sliven | BG | gadm1 | 0.4923 | 0.463 | 0.4395 | 0.4373 | 0.443 | 0.4503 | 0.4578 | 0.465 | 0.4717 | 0.4781 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:233 | CAF | Central African Republic | DEU.10_1 | Nordrhein-Westfalen | DE | gadm1 | 0.5452 | 0.5194 | 0.5051 | 0.5123 | 0.525 | 0.5372 | 0.5478 | 0.5565 | 0.5638 | 0.5697 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:234 | CAF | Central African Republic | CHE.7_1 | Fribourg | CH | gadm1 | 0.569 | 0.5325 | 0.5081 | 0.5104 | 0.5226 | 0.5358 | 0.5473 | 0.5578 | 0.5669 | 0.5748 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:235 | CAF | Central African Republic | BDI.8_1 | Karuzi | BI | gadm1 | 0.5945 | 0.613 | 0.6557 | 0.7182 | 0.7561 | 0.7823 | 0.8041 | 0.8198 | 0.8337 | 0.8468 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:236 | CAF | Central African Republic | MKD.63_1 | Saraj | MK | gadm1 | 0.1831 | 0.1683 | 0.1616 | 0.1577 | 0.1553 | 0.1557 | 0.1587 | 0.1621 | 0.1617 | 0.1634 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:237 | CAF | Central African Republic | JPN.18_1 | Kagoshima | JP | gadm1 | 0.3338 | 0.3461 | 0.3892 | 0.4367 | 0.4622 | 0.4769 | 0.4859 | 0.4919 | 0.496 | 0.499 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:238 | CAF | Central African Republic | GUM.18_1 | Yigo | US | gadm1 | 0.5793 | 0.5385 | 0.5298 | 0.5421 | 0.5538 | 0.5639 | 0.5731 | 0.5804 | 0.5863 | 0.5903 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:239 | CAF | Central African Republic | MNE.7_1 | Danilovgrad | ME | gadm1 | 0.4741 | 0.4601 | 0.4556 | 0.4615 | 0.4689 | 0.479 | 0.4899 | 0.4991 | 0.51 | 0.5192 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:240 | CAF | Central African Republic | IRL.19_1 | Offaly | IE | gadm1 | 0.5377 | 0.5002 | 0.4664 | 0.4596 | 0.4639 | 0.4708 | 0.4784 | 0.4858 | 0.4937 | 0.5002 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:241 | CAF | Central African Republic | THA.13_1 | Chumphon | TH | gadm1 | 0.5908 | 0.5592 | 0.5504 | 0.5634 | 0.5775 | 0.591 | 0.6037 | 0.616 | 0.6276 | 0.6384 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:242 | CAF | Central African Republic | MWI.23_1 | Ntchisi | MW | gadm1 | 0.5191 | 0.5288 | 0.5617 | 0.6139 | 0.6476 | 0.6726 | 0.6917 | 0.7068 | 0.7182 | 0.7285 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:243 | CAF | Central African Republic | SAU.4_1 | Al Jawf | SA | gadm1 | 0.1476 | 0.1471 | 0.1561 | 0.1679 | 0.1751 | 0.1793 | 0.1826 | 0.1852 | 0.1871 | 0.1887 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:244 | CAF | Central African Republic | CPV.5_1 | Paúl | CV | gadm1 | 0.6759 | 0.6473 | 0.6299 | 0.6446 | 0.6571 | 0.6716 | 0.6832 | 0.6989 | 0.7144 | 0.7209 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:245 | CAF | Central African Republic | TUR.81_1 | Zinguldak | TR | gadm1 | 0.3038 | 0.2658 | 0.2285 | 0.2052 | 0.1944 | 0.1886 | 0.1852 | 0.1833 | 0.1822 | 0.1814 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:246 | CAF | Central African Republic | NIC.7_1 | Estelí | NI | gadm1 | 0.7063 | 0.6949 | 0.7044 | 0.74 | 0.773 | 0.8013 | 0.8254 | 0.8463 | 0.8648 | 0.8811 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:247 | CAF | Central African Republic | IND.3_1 | Arunachal Pradesh | IN | gadm1 | 0.5439 | 0.5367 | 0.5525 | 0.5864 | 0.6154 | 0.6403 | 0.6618 | 0.6808 | 0.6978 | 0.7131 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:248 | CAF | Central African Republic | YEM.20_1 | Shabwah | YE | gadm1 | 0.0688 | 0.0695 | 0.0724 | 0.0787 | 0.082 | 0.0847 | 0.0868 | 0.088 | 0.0891 | 0.0904 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:249 | CAF | Central African Republic | NOR.15_1 | Sør-Trøndelag | NO | gadm1 | 0.5384 | 0.4966 | 0.4653 | 0.4642 | 0.4708 | 0.479 | 0.4875 | 0.4959 | 0.5038 | 0.5113 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:250 | CAF | Central African Republic | VIR.3_1 | Saint Thomas | US | gadm1 | 0.6347 | 0.6388 | 0.6665 | 0.7052 | 0.7356 | 0.7593 | 0.7782 | 0.7939 | 0.8069 | 0.8195 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:251 | CAF | Central African Republic | PRI.71_1 | Trujillo Alto | US | gadm1 | 0.6747 | 0.6367 | 0.6183 | 0.6185 | 0.6264 | 0.6348 | 0.6443 | 0.6535 | 0.6625 | 0.6707 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:252 | CAF | Central African Republic | HRV.13_1 | Primorsko-Goranska | HR | gadm1 | 0.4746 | 0.4494 | 0.4363 | 0.444 | 0.4573 | 0.4708 | 0.4831 | 0.4943 | 0.5041 | 0.5129 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:253 | CAF | Central African Republic | JPN.25_1 | Miyazaki | JP | gadm1 | 0.3344 | 0.3483 | 0.3955 | 0.4482 | 0.4752 | 0.4904 | 0.5001 | 0.5061 | 0.5103 | 0.5135 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:254 | CAF | Central African Republic | CRI.4_1 | Heredia | CR | gadm1 | 0.7283 | 0.6995 | 0.6856 | 0.6866 | 0.6949 | 0.7054 | 0.7168 | 0.7283 | 0.7396 | 0.7505 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:255 | CAF | Central African Republic | IDN.10_1 | Jawa Tengah | ID | gadm1 | 0.4584 | 0.4546 | 0.4869 | 0.5445 | 0.5913 | 0.6304 | 0.6641 | 0.6936 | 0.7198 | 0.7434 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:256 | CAF | Central African Republic | TUN.24_1 | Zaghouan | TN | gadm1 | 0.438 | 0.4094 | 0.3781 | 0.3607 | 0.3552 | 0.3536 | 0.3538 | 0.3548 | 0.3563 | 0.3579 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:257 | CAF | Central African Republic | IDN.33_1 | Yogyakarta | ID | gadm1 | 0.4439 | 0.4359 | 0.4607 | 0.5106 | 0.5528 | 0.5887 | 0.6196 | 0.6466 | 0.6706 | 0.6919 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:258 | CAF | Central African Republic | UGA.16_1 | Kampala | UG | gadm1 | 0.6474 | 0.6713 | 0.7403 | 0.8291 | 0.8906 | 0.9394 | 0.9819 | 1.0205 | 1.0559 | 1.0885 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:259 | CAF | Central African Republic | CHE.11_1 | Jura | CH | gadm1 | 0.5642 | 0.5321 | 0.5103 | 0.5119 | 0.5237 | 0.5358 | 0.5476 | 0.558 | 0.5677 | 0.5769 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:260 | CAF | Central African Republic | MEX.6_1 | Chihuahua | MX | gadm1 | 0.6836 | 0.6591 | 0.6487 | 0.6572 | 0.6717 | 0.687 | 0.7017 | 0.7153 | 0.7278 | 0.7391 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:261 | CAF | Central African Republic | JPN.10_1 | Gunma | JP | gadm1 | 0.375 | 0.3845 | 0.4232 | 0.4645 | 0.4857 | 0.4986 | 0.5071 | 0.5131 | 0.5173 | 0.5207 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:262 | CAF | Central African Republic | IND.11_1 | Gujarat | IN | gadm1 | 0.4002 | 0.3753 | 0.3585 | 0.3527 | 0.3507 | 0.3501 | 0.3503 | 0.3508 | 0.3515 | 0.3522 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:263 | CAF | Central African Republic | PHL.80_1 | Zamboanga del Sur | PH | gadm1 | 0.6649 | 0.6415 | 0.6459 | 0.6747 | 0.6999 | 0.7213 | 0.7403 | 0.7577 | 0.7737 | 0.7884 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:264 | CAF | Central African Republic | HUN.13_1 | Nógrád | HU | gadm1 | 0.5653 | 0.5257 | 0.4973 | 0.4935 | 0.4986 | 0.5045 | 0.5104 | 0.5165 | 0.5228 | 0.5291 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:265 | CAF | Central African Republic | HND.6_1 | Cortés | HN | gadm1 | 0.7421 | 0.7215 | 0.7217 | 0.75 | 0.7794 | 0.8057 | 0.8287 | 0.8488 | 0.8664 | 0.8819 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:266 | CAF | Central African Republic | JPN.3_1 | Aomori | JP | gadm1 | 0.3361 | 0.356 | 0.409 | 0.4612 | 0.4868 | 0.5004 | 0.5086 | 0.5137 | 0.5173 | 0.5197 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:267 | CAF | Central African Republic | KEN.43_1 | Turkana | KE | gadm1 | 0.5766 | 0.5788 | 0.6092 | 0.6557 | 0.6928 | 0.7231 | 0.7479 | 0.7686 | 0.7863 | 0.8019 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:268 | CAF | Central African Republic | IMN.8_2 | Garff | GB | gadm1 | 0.5625 | 0.5082 | 0.4739 | 0.4805 | 0.4932 | 0.4993 | 0.5122 | 0.5142 | 0.5268 | 0.5333 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:269 | CAF | Central African Republic | NLD.14_1 | null | NL | gadm1 | 0.6188 | 0.5845 | 0.559 | 0.5544 | 0.5592 | 0.5664 | 0.5737 | 0.5804 | 0.5863 | 0.5915 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:270 | CAF | Central African Republic | TUN.3_1 | Ben Arous (Tunis Sud) | TN | gadm1 | 0.4647 | 0.4325 | 0.3994 | 0.3818 | 0.3759 | 0.3741 | 0.374 | 0.3749 | 0.3763 | 0.3778 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:271 | CAF | Central African Republic | ZMB.1_1 | Central | ZM | gadm1 | 0.5862 | 0.5882 | 0.614 | 0.6568 | 0.6917 | 0.7213 | 0.7473 | 0.7701 | 0.7903 | 0.8086 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:272 | CAF | Central African Republic | TUR.5_1 | Aksaray | TR | gadm1 | 0.2221 | 0.1959 | 0.1676 | 0.1497 | 0.1414 | 0.1371 | 0.1347 | 0.1332 | 0.1323 | 0.1318 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:273 | CAF | Central African Republic | BHS.22_1 | North Abaco | BS | gadm1 | 0.5958 | 0.5849 | 0.6099 | 0.648 | 0.6806 | 0.7095 | 0.7321 | 0.7536 | 0.7732 | 0.7903 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:274 | CAF | Central African Republic | KOR.6_1 | Gangwon-do | KR | gadm1 | 0.279 | 0.2819 | 0.3099 | 0.3517 | 0.3784 | 0.3969 | 0.4104 | 0.4205 | 0.428 | 0.4338 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:275 | CAF | Central African Republic | KHM.25_1 | Tbong Khmum | KH | gadm1 | 0.6492 | 0.6405 | 0.6608 | 0.7006 | 0.7301 | 0.7541 | 0.7738 | 0.791 | 0.8063 | 0.8203 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:276 | CAF | Central African Republic | IMN.11_2 | Lezayre | GB | gadm1 | 0.5527 | 0.5075 | 0.4719 | 0.4782 | 0.4891 | 0.4933 | 0.5031 | 0.5114 | 0.5232 | 0.5293 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:277 | CAF | Central African Republic | GGY.4_1 | Forest | GB | gadm1 | 0.5869 | 0.519 | 0.4813 | 0.4892 | 0.4921 | 0.4945 | 0.5169 | 0.5184 | 0.5259 | 0.5349 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:278 | CAF | Central African Republic | COL.29_2 | Sucre | CO | gadm1 | 0.7396 | 0.7289 | 0.7421 | 0.7756 | 0.8071 | 0.8351 | 0.86 | 0.8823 | 0.9025 | 0.9209 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:279 | CAF | Central African Republic | ZMB.3_1 | Eastern | ZM | gadm1 | 0.5841 | 0.5804 | 0.5987 | 0.6357 | 0.6674 | 0.6947 | 0.7185 | 0.7395 | 0.758 | 0.7746 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:280 | CAF | Central African Republic | UGA.50_1 | Pallisa | UG | gadm1 | 0.6932 | 0.7107 | 0.7776 | 0.8673 | 0.927 | 0.9722 | 1.012 | 1.0449 | 1.0742 | 1.1019 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:281 | CAF | Central African Republic | UKR.10_1 | Khmel'nyts'kyy | UA | gadm1 | 0.6077 | 0.5618 | 0.5216 | 0.5074 | 0.511 | 0.5191 | 0.5284 | 0.5372 | 0.5451 | 0.5521 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:282 | CAF | Central African Republic | TUR.35_1 | Gümüshane | TR | gadm1 | 0.2267 | 0.2026 | 0.1789 | 0.1632 | 0.156 | 0.1516 | 0.1495 | 0.1482 | 0.1473 | 0.147 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:283 | CAF | Central African Republic | SEN.7_1 | Kolda | SN | gadm1 | 0.4492 | 0.4696 | 0.5228 | 0.5849 | 0.6239 | 0.6508 | 0.6699 | 0.6855 | 0.6977 | 0.7081 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:284 | CAF | Central African Republic | MUS.8_1 | Port Louis | MU | gadm1 | 0.6538 | 0.6224 | 0.6016 | 0.6065 | 0.6196 | 0.6336 | 0.6472 | 0.66 | 0.6718 | 0.6828 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:285 | CAF | Central African Republic | MAR.4_1 | Gharb - Chrarda - Béni Hssen | MA | gadm1 | 0.3668 | 0.3753 | 0.4007 | 0.4362 | 0.4625 | 0.483 | 0.4996 | 0.5133 | 0.5246 | 0.534 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:286 | CAF | Central African Republic | TUR.4_1 | Agri | TR | gadm1 | 0.1436 | 0.1333 | 0.1226 | 0.1178 | 0.1168 | 0.1173 | 0.1184 | 0.1195 | 0.1204 | 0.1213 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:287 | CAF | Central African Republic | TJK.3_1 | Khatlon | TJ | gadm1 | 0.2249 | 0.229 | 0.2563 | 0.2781 | 0.2888 | 0.2947 | 0.3003 | 0.3024 | 0.3038 | 0.3067 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:288 | CAF | Central African Republic | SAU.9_1 | Ḥaʼil | SA | gadm1 | 0.1569 | 0.1573 | 0.1639 | 0.1745 | 0.1814 | 0.1853 | 0.1884 | 0.1905 | 0.1923 | 0.1938 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:289 | CAF | Central African Republic | JEY.4_1 | Saint Helier | GB | gadm1 | 0.5411 | 0.4944 | 0.4693 | 0.4743 | 0.4851 | 0.4958 | 0.5057 | 0.5154 | 0.5221 | 0.5285 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:290 | CAF | Central African Republic | LSO.2_1 | Butha-Buthe | LS | gadm1 | 0.7099 | 0.7215 | 0.7558 | 0.8223 | 0.8619 | 0.8972 | 0.9264 | 0.9488 | 0.9684 | 0.9829 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:291 | CAF | Central African Republic | VNM.55_1 | Thái Bình | VN | gadm1 | 0.5453 | 0.5147 | 0.5103 | 0.5305 | 0.5522 | 0.5714 | 0.588 | 0.6025 | 0.6151 | 0.6265 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:292 | CAF | Central African Republic | TUR.31_1 | Erzurum | TR | gadm1 | 0.1825 | 0.1641 | 0.1447 | 0.1325 | 0.1275 | 0.1253 | 0.1243 | 0.124 | 0.124 | 0.1241 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:293 | CAF | Central African Republic | SAU.13_1 | Tabuk | SA | gadm1 | 0.1511 | 0.1534 | 0.1632 | 0.1761 | 0.1842 | 0.1894 | 0.1929 | 0.1956 | 0.1979 | 0.1998 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:294 | CAF | Central African Republic | MKD.24_1 | Gevgelija | MK | gadm1 | 0.4571 | 0.4153 | 0.3976 | 0.3937 | 0.3935 | 0.3979 | 0.4024 | 0.4066 | 0.4131 | 0.4179 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:295 | CAF | Central African Republic | AFG.19_1 | Kunduz | AF | gadm1 | 0.1964 | 0.1992 | 0.2118 | 0.232 | 0.2451 | 0.254 | 0.2607 | 0.2661 | 0.2703 | 0.2742 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:296 | CAF | Central African Republic | NPL.2_1 | East | NP | gadm1 | 0.5685 | 0.5506 | 0.5498 | 0.562 | 0.5732 | 0.5827 | 0.5911 | 0.5987 | 0.6056 | 0.612 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:297 | CAF | Central African Republic | MDA.21_1 | Hîncesti | MD | gadm1 | 0.568 | 0.5155 | 0.4718 | 0.4601 | 0.4629 | 0.4699 | 0.4765 | 0.4829 | 0.4886 | 0.4936 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:298 | CAF | Central African Republic | NGA.37_1 | Zamfara | NG | gadm1 | 0.3211 | 0.3276 | 0.3496 | 0.3808 | 0.4028 | 0.4189 | 0.4319 | 0.4427 | 0.4519 | 0.4598 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
2142541d-1b92-4fe5-accb-c3c3ec6bca04:299 | CAF | Central African Republic | MDA.13_1 | Donduseni | MD | gadm1 | 0.6106 | 0.5576 | 0.514 | 0.5003 | 0.4995 | 0.5045 | 0.5111 | 0.5168 | 0.522 | 0.527 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm1_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 2142541d-1b92-4fe5-accb-c3c3ec6bca04 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/2142541d-1b92-4fe5-accb-c3c3ec6bca04/download/gadm1_cgfr.csv | cc-by | 2026-08-14T23:28:30Z |
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