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2142541d-1b92-4fe5-accb-c3c3ec6bca04:100 | CAF | Central African Republic | MYS.1_1 | Johor | MY | gadm1 | 0.4938 | 0.4581 | 0.4411 | 0.4522 | 0.4685 | 0.4845 | 0.4993 | 0.5125 | 0.5244 | 0.5351 | 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-c3c3ec6bca04:101 | CAF | Central African Republic | KAZ.7_1 | North Kazakhstan | KZ | gadm1 | 0.4816 | 0.4799 | 0.5066 | 0.5501 | 0.5729 | 0.5869 | 0.5954 | 0.6019 | 0.6064 | 0.6096 | 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-c3c3ec6bca04:102 | CAF | Central African Republic | SLV.5_1 | La Libertad | SV | gadm1 | 0.7351 | 0.709 | 0.7025 | 0.7214 | 0.7428 | 0.762 | 0.779 | 0.794 | 0.8071 | 0.8187 | 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-c3c3ec6bca04:103 | CAF | Central African Republic | JAM.14_1 | Westmoreland | JM | gadm1 | 0.7442 | 0.7585 | 0.8218 | 0.9052 | 0.9663 | 1.012 | 1.0478 | 1.0784 | 1.1045 | 1.1268 | 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-c3c3ec6bca04:104 | CAF | Central African Republic | PRI.46_1 | Luquillo | US | gadm1 | 0.6651 | 0.6348 | 0.6121 | 0.6085 | 0.6133 | 0.6217 | 0.6311 | 0.64 | 0.6508 | 0.6573 | 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-c3c3ec6bca04:105 | CAF | Central African Republic | USA.5_1 | California | US | gadm1 | 0.5986 | 0.5748 | 0.5721 | 0.5833 | 0.5956 | 0.6074 | 0.618 | 0.6274 | 0.6357 | 0.6429 | 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-c3c3ec6bca04:106 | CAF | Central African Republic | MDA.2_1 | Bălţi | MD | gadm1 | 0.5733 | 0.5208 | 0.4744 | 0.4576 | 0.4582 | 0.4624 | 0.4674 | 0.4722 | 0.4764 | 0.4801 | 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-c3c3ec6bca04:107 | CAF | Central African Republic | CPV.21_1 | Tarrafal | CV | gadm1 | 0.5863 | 0.5686 | 0.5647 | 0.5898 | 0.6114 | 0.6336 | 0.6508 | 0.6694 | 0.686 | 0.6997 | 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-c3c3ec6bca04:108 | CAF | Central African Republic | PRI.24_1 | Corozal | US | gadm1 | 0.6567 | 0.6154 | 0.5879 | 0.5788 | 0.5799 | 0.5853 | 0.5925 | 0.6015 | 0.6104 | 0.6203 | 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-c3c3ec6bca04:109 | CAF | Central African Republic | TUR.9_1 | Ardahan | TR | gadm1 | 0.2613 | 0.2378 | 0.2093 | 0.193 | 0.1862 | 0.1826 | 0.1809 | 0.1802 | 0.1804 | 0.1803 | 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-c3c3ec6bca04:110 | CAF | Central African Republic | POL.10_1 | Podlaskie | PL | gadm1 | 0.5079 | 0.4882 | 0.4811 | 0.4949 | 0.5096 | 0.5226 | 0.5343 | 0.545 | 0.5551 | 0.5644 | 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-c3c3ec6bca04:111 | CAF | Central African Republic | CHL.16_1 | Valparaíso | CL | gadm1 | 0.5924 | 0.5665 | 0.5559 | 0.5582 | 0.5667 | 0.5765 | 0.5865 | 0.5958 | 0.6044 | 0.6122 | 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-c3c3ec6bca04:112 | CAF | Central African Republic | CPV.17_1 | São Lourenço dos Órgãos | CV | gadm1 | 0.5873 | 0.5826 | 0.5914 | 0.6142 | 0.6186 | 0.646 | 0.6642 | 0.682 | 0.6929 | 0.7125 | 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-c3c3ec6bca04:113 | CAF | Central African Republic | NAM.1_1 | !Karas | null | gadm1 | 0.6216 | 0.6202 | 0.6402 | 0.6763 | 0.7085 | 0.7362 | 0.7592 | 0.7807 | 0.7993 | 0.8165 | 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-c3c3ec6bca04:114 | CAF | Central African Republic | CAF.2_1 | Bangui | CF | gadm1 | 0.2792 | 0.2962 | 0.3394 | 0.4285 | 0.4814 | 0.5058 | 0.5333 | 0.5494 | 0.5647 | 0.5679 | 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-c3c3ec6bca04:115 | CAF | Central African Republic | XKO.7_1 | Uroševac | XK | gadm1 | 0.36 | 0.331 | 0.2984 | 0.2719 | 0.258 | 0.2501 | 0.2454 | 0.2425 | 0.2407 | 0.2396 | 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-c3c3ec6bca04:116 | CAF | Central African Republic | KOR.7_1 | Gwangju | KR | gadm1 | 0.2816 | 0.2872 | 0.3189 | 0.3628 | 0.3909 | 0.4106 | 0.4246 | 0.4348 | 0.4425 | 0.4484 | 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-c3c3ec6bca04:117 | CAF | Central African Republic | TZA.10_1 | Lindi | TZ | gadm1 | 0.6216 | 0.6302 | 0.6659 | 0.7208 | 0.7584 | 0.7868 | 0.8089 | 0.8271 | 0.8426 | 0.8561 | 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-c3c3ec6bca04:118 | CAF | Central African Republic | MKD.11_1 | Čaška | MK | gadm1 | 0.4109 | 0.3778 | 0.346 | 0.3339 | 0.3263 | 0.3281 | 0.3303 | 0.3292 | 0.3333 | 0.333 | 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-c3c3ec6bca04:119 | CAF | Central African Republic | BTN.6_1 | Lhuentse | BT | gadm1 | 0.6523 | 0.6347 | 0.6358 | 0.6669 | 0.6941 | 0.7168 | 0.7371 | 0.7535 | 0.7673 | 0.7795 | 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-c3c3ec6bca04:120 | CAF | Central African Republic | BGD.1_1 | Barisal | BD | gadm1 | 0.4664 | 0.4546 | 0.4549 | 0.4676 | 0.4785 | 0.4871 | 0.4943 | 0.5005 | 0.5059 | 0.5107 | 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-c3c3ec6bca04:121 | CAF | Central African Republic | HRV.3_1 | Dubrovacko-Neretvanska | HR | gadm1 | 0.4347 | 0.4111 | 0.3999 | 0.4072 | 0.4201 | 0.4341 | 0.4466 | 0.4582 | 0.4686 | 0.4777 | 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-c3c3ec6bca04:122 | CAF | Central African Republic | GHA6_2 | Eastern | GH | gadm0 | 0.6255 | 0.6538 | 0.7325 | 0.8297 | 0.8885 | 0.929 | 0.9594 | 0.9836 | 1.0037 | 1.0203 | 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-c3c3ec6bca04:123 | CAF | Central African Republic | BEN.3_1 | Atlantique | BJ | gadm1 | 0.7683 | 0.7848 | 0.8333 | 0.8891 | 0.9233 | 0.9472 | 0.9661 | 0.9823 | 0.9959 | 1.0085 | 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-c3c3ec6bca04:124 | CAF | Central African Republic | EST.8_1 | Pärnu | EE | gadm1 | 0.5709 | 0.5253 | 0.4896 | 0.4838 | 0.4876 | 0.4926 | 0.4986 | 0.5039 | 0.5092 | 0.5141 | 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-c3c3ec6bca04:125 | CAF | Central African Republic | EGY.17_1 | Aswan | EG | gadm1 | 0.2233 | 0.2006 | 0.1742 | 0.1565 | 0.1475 | 0.1419 | 0.1381 | 0.1353 | 0.1331 | 0.1315 | 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-c3c3ec6bca04:126 | CAF | Central African Republic | AZE.9_1 | Shaki-Zaqatala | AZ | gadm1 | 0.231 | 0.2209 | 0.2134 | 0.2134 | 0.2153 | 0.217 | 0.2182 | 0.2192 | 0.2202 | 0.2209 | 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-c3c3ec6bca04:127 | CAF | Central African Republic | TUR.79_1 | Yalova | TR | gadm1 | 0.315 | 0.2788 | 0.2429 | 0.2209 | 0.2118 | 0.2077 | 0.2057 | 0.2048 | 0.2045 | 0.2044 | 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-c3c3ec6bca04:128 | CAF | Central African Republic | CIV.2_1 | Bas-Sassandra | CI | gadm1 | 0.5945 | 0.6075 | 0.654 | 0.7159 | 0.7585 | 0.7901 | 0.8143 | 0.8338 | 0.8499 | 0.8636 | 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-c3c3ec6bca04:129 | CAF | Central African Republic | GEO.7_1 | Mtskheta-Mtianeti | GE | gadm1 | 0.56 | 0.5315 | 0.5147 | 0.5064 | 0.5029 | 0.5027 | 0.5038 | 0.506 | 0.5079 | 0.5106 | 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-c3c3ec6bca04:130 | CAF | Central African Republic | ARM.4_1 | Erevan | AM | gadm1 | 0.5369 | 0.4935 | 0.448 | 0.4194 | 0.4087 | 0.4047 | 0.4035 | 0.4036 | 0.4041 | 0.405 | 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-c3c3ec6bca04:131 | CAF | Central African Republic | UGA.54_1 | Sironko | UG | gadm1 | 0.7096 | 0.7409 | 0.8254 | 0.9301 | 0.9988 | 1.0468 | 1.0905 | 1.1259 | 1.1574 | 1.1846 | 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-c3c3ec6bca04:132 | CAF | Central African Republic | RWA.5_1 | Umujyi wa Kigali | RW | gadm1 | 0.7357 | 0.7609 | 0.8214 | 0.8961 | 0.9491 | 0.9907 | 1.0247 | 1.0536 | 1.0789 | 1.1021 | 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-c3c3ec6bca04:133 | CAF | Central African Republic | MNG.2_1 | Bayan-Ölgiy | MN | gadm1 | 0.6274 | 0.5954 | 0.5863 | 0.5926 | 0.5982 | 0.6039 | 0.6081 | 0.612 | 0.6164 | 0.6206 | 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-c3c3ec6bca04:134 | CAF | Central African Republic | MOZ.6_1 | Maputo | MZ | gadm1 | 0.636 | 0.654 | 0.7084 | 0.7781 | 0.8289 | 0.8687 | 0.9007 | 0.9275 | 0.9505 | 0.9703 | 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-c3c3ec6bca04:135 | CAF | Central African Republic | ARG.12_1 | La Rioja | AR | gadm1 | 0.6542 | 0.6428 | 0.6454 | 0.6587 | 0.6738 | 0.6895 | 0.7052 | 0.7203 | 0.7347 | 0.7485 | 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-c3c3ec6bca04:136 | CAF | Central African Republic | COL.32_2 | Vaupés | CO | gadm1 | 0.699 | 0.7053 | 0.7573 | 0.8357 | 0.8971 | 0.9461 | 0.9893 | 1.0256 | 1.0573 | 1.086 | 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-c3c3ec6bca04:137 | CAF | Central African Republic | GTM.12_1 | Petén | GT | gadm1 | 0.6658 | 0.6443 | 0.64 | 0.6647 | 0.6919 | 0.7158 | 0.7364 | 0.7544 | 0.7702 | 0.7842 | 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-c3c3ec6bca04:138 | CAF | Central African Republic | BIH.2_1 | Federacija Bosna i Hercegovina | BA | gadm1 | 0.4481 | 0.4027 | 0.3648 | 0.3495 | 0.3472 | 0.3488 | 0.3521 | 0.356 | 0.3602 | 0.3643 | 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-c3c3ec6bca04:139 | CAF | Central African Republic | SWE.20_1 | Västmanland | SE | gadm1 | 0.5593 | 0.5067 | 0.461 | 0.4478 | 0.4487 | 0.4535 | 0.4592 | 0.465 | 0.4705 | 0.4755 | 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-c3c3ec6bca04:140 | CAF | Central African Republic | AFG.7_1 | Farah | AF | gadm1 | 0.1673 | 0.1624 | 0.1725 | 0.1845 | 0.1943 | 0.2024 | 0.207 | 0.2124 | 0.2166 | 0.2185 | 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-c3c3ec6bca04:141 | CAF | Central African Republic | HRV.17_1 | Varaždinska | HR | gadm1 | 0.4773 | 0.4455 | 0.421 | 0.4188 | 0.4264 | 0.4367 | 0.4472 | 0.4574 | 0.4674 | 0.4767 | 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-c3c3ec6bca04:142 | CAF | Central African Republic | BGR.11_1 | Pazardzhik | BG | gadm1 | 0.4876 | 0.4566 | 0.4324 | 0.4293 | 0.4351 | 0.4431 | 0.4508 | 0.4585 | 0.4658 | 0.4725 | 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-c3c3ec6bca04:143 | CAF | Central African Republic | HUN.14_1 | Pest | HU | gadm1 | 0.5856 | 0.5412 | 0.5083 | 0.5042 | 0.5091 | 0.5157 | 0.5225 | 0.5296 | 0.5365 | 0.5433 | 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-c3c3ec6bca04:144 | CAF | Central African Republic | DEU.3_1 | Berlin | DE | gadm1 | 0.5382 | 0.5268 | 0.5303 | 0.5519 | 0.5709 | 0.5853 | 0.596 | 0.604 | 0.61 | 0.6148 | 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-c3c3ec6bca04:145 | CAF | Central African Republic | UGA.29_1 | Kumi | UG | gadm1 | 0.6396 | 0.6638 | 0.7262 | 0.8092 | 0.867 | 0.9123 | 0.9353 | 0.9737 | 1.0033 | 1.023 | 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-c3c3ec6bca04:146 | CAF | Central African Republic | ZWE.8_1 | Matabeleland North | ZW | gadm1 | 0.6364 | 0.6283 | 0.6331 | 0.658 | 0.6824 | 0.7027 | 0.7202 | 0.7352 | 0.7477 | 0.7586 | 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-c3c3ec6bca04:147 | CAF | Central African Republic | ECU.8_1 | Esmeraldas | EC | gadm1 | 0.755 | 0.7482 | 0.7665 | 0.8072 | 0.8427 | 0.873 | 0.8989 | 0.9216 | 0.9414 | 0.9591 | 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-c3c3ec6bca04:148 | CAF | Central African Republic | KOR.8_1 | Gyeonggi-do | KR | gadm1 | 0.3039 | 0.3128 | 0.3508 | 0.3991 | 0.4275 | 0.4455 | 0.4576 | 0.4662 | 0.4725 | 0.4772 | 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-c3c3ec6bca04:149 | CAF | Central African Republic | NOR.18_1 | Vest-Agder | NO | gadm1 | 0.5092 | 0.4693 | 0.4405 | 0.4388 | 0.4449 | 0.452 | 0.4593 | 0.4665 | 0.4735 | 0.4801 | 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-c3c3ec6bca04:150 | CAF | Central African Republic | USA.21_1 | Maryland | US | gadm1 | 0.6265 | 0.5993 | 0.5962 | 0.6084 | 0.6213 | 0.6339 | 0.6456 | 0.6565 | 0.6665 | 0.6756 | 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-c3c3ec6bca04:151 | CAF | Central African Republic | RUS.79_1 | Voronezh | RU | gadm1 | 0.5226 | 0.5151 | 0.5468 | 0.5966 | 0.624 | 0.6395 | 0.646 | 0.6523 | 0.6576 | 0.6609 | 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-c3c3ec6bca04:152 | CAF | Central African Republic | THA.64_1 | Songkhla | TH | gadm1 | 0.5408 | 0.506 | 0.4943 | 0.5044 | 0.517 | 0.5291 | 0.5404 | 0.5513 | 0.5616 | 0.5714 | 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-c3c3ec6bca04:153 | CAF | Central African Republic | BMU.3_1 | Hamilton Municipality | GB | gadm1 | 0.5883 | 0.5689 | 0.5807 | 0.6069 | 0.6343 | 0.6532 | 0.6726 | 0.6885 | 0.7008 | 0.7136 | 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-c3c3ec6bca04:154 | CAF | Central African Republic | MNE.20_1 | Ulcinj | ME | gadm1 | 0.3757 | 0.3512 | 0.3304 | 0.3206 | 0.3211 | 0.3237 | 0.3288 | 0.3325 | 0.3386 | 0.3436 | 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-c3c3ec6bca04:155 | CAF | Central African Republic | BRA.12_1 | Mato Grosso | BR | gadm1 | 0.6308 | 0.5907 | 0.5702 | 0.5715 | 0.5803 | 0.5917 | 0.6036 | 0.6155 | 0.6269 | 0.6376 | 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-c3c3ec6bca04:156 | CAF | Central African Republic | UGA.43_1 | Mubende | UG | gadm1 | 0.6604 | 0.6985 | 0.7904 | 0.9015 | 0.9709 | 1.0212 | 1.0641 | 1.1012 | 1.131 | 1.1591 | 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-c3c3ec6bca04:157 | CAF | Central African Republic | GIN.7_1 | Mamou | GN | gadm1 | 0.4892 | 0.499 | 0.5245 | 0.5566 | 0.578 | 0.5944 | 0.6072 | 0.6178 | 0.6266 | 0.6341 | 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-c3c3ec6bca04:158 | CAF | Central African Republic | MWI.1_1 | Balaka | MW | gadm1 | 0.5842 | 0.5808 | 0.6047 | 0.6427 | 0.6729 | 0.6972 | 0.717 | 0.7333 | 0.7468 | 0.7587 | 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-c3c3ec6bca04:159 | CAF | Central African Republic | COG.5_1 | Kouilou | CG | gadm1 | 0.5501 | 0.5581 | 0.5891 | 0.6363 | 0.6729 | 0.7016 | 0.7251 | 0.744 | 0.7601 | 0.7741 | 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-c3c3ec6bca04:160 | CAF | Central African Republic | GAB.1_1 | Estuaire | GA | gadm1 | 0.5744 | 0.5983 | 0.6543 | 0.723 | 0.7688 | 0.8028 | 0.8302 | 0.8529 | 0.873 | 0.8909 | 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-c3c3ec6bca04:161 | CAF | Central African Republic | JPN.13_1 | Hyōgo | JP | gadm1 | 0.3487 | 0.3625 | 0.4027 | 0.444 | 0.4655 | 0.4781 | 0.486 | 0.4914 | 0.4951 | 0.4978 | 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-c3c3ec6bca04:162 | CAF | Central African Republic | NZL.14_1 | Southland | NZ | gadm1 | 0.5641 | 0.5081 | 0.474 | 0.469 | 0.4715 | 0.4764 | 0.4818 | 0.4871 | 0.4923 | 0.497 | 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-c3c3ec6bca04:163 | CAF | Central African Republic | RUS.55_1 | Perm' | RU | gadm1 | 0.4788 | 0.4858 | 0.5362 | 0.5924 | 0.6191 | 0.6347 | 0.6449 | 0.6536 | 0.6575 | 0.6635 | 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-c3c3ec6bca04:164 | CAF | Central African Republic | ITA.14_1 | Sardegna | IT | gadm1 | 0.5041 | 0.4782 | 0.4586 | 0.4548 | 0.4601 | 0.4684 | 0.4777 | 0.4871 | 0.4964 | 0.5054 | 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-c3c3ec6bca04:165 | CAF | Central African Republic | BEN.1_1 | Alibori | BJ | gadm1 | 0.677 | 0.6817 | 0.7028 | 0.7463 | 0.7766 | 0.8 | 0.8194 | 0.8335 | 0.8458 | 0.8568 | 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-c3c3ec6bca04:166 | CAF | Central African Republic | ESP.8_1 | Comunidad de Madrid | ES | gadm1 | 0.6207 | 0.599 | 0.5877 | 0.6008 | 0.619 | 0.6347 | 0.6474 | 0.6573 | 0.665 | 0.671 | 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-c3c3ec6bca04:167 | CAF | Central African Republic | IMN.9_2 | German | GB | gadm1 | 0.6434 | 0.5731 | 0.5213 | 0.5136 | 0.5207 | 0.53 | 0.5387 | 0.5486 | 0.5436 | 0.5567 | 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-c3c3ec6bca04:168 | CAF | Central African Republic | PHL.43_1 | Leyte | PH | gadm1 | 0.6531 | 0.6214 | 0.6155 | 0.6383 | 0.6604 | 0.68 | 0.6977 | 0.714 | 0.7292 | 0.7433 | 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-c3c3ec6bca04:169 | CAF | Central African Republic | GUY.3_1 | Demerara-Mahaica | GY | gadm1 | 0.7536 | 0.7377 | 0.7469 | 0.7881 | 0.8272 | 0.8609 | 0.89 | 0.9151 | 0.9372 | 0.9568 | 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-c3c3ec6bca04:170 | CAF | Central African Republic | PRI.48_1 | Maricao | US | gadm1 | 0.628 | 0.5942 | 0.5569 | 0.5405 | 0.5448 | 0.5496 | 0.5546 | 0.5627 | 0.5677 | 0.5772 | 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-c3c3ec6bca04:171 | CAF | Central African Republic | THA.52_1 | Ratchaburi | TH | gadm1 | 0.5704 | 0.5386 | 0.5332 | 0.5516 | 0.57 | 0.5867 | 0.6021 | 0.6161 | 0.6291 | 0.6413 | 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-c3c3ec6bca04:172 | CAF | Central African Republic | VEN.3_1 | Apure | VE | gadm1 | 0.7908 | 0.7835 | 0.7958 | 0.8257 | 0.852 | 0.8758 | 0.8971 | 0.9161 | 0.9335 | 0.9495 | 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-c3c3ec6bca04:173 | CAF | Central African Republic | KWT.4_1 | Al Kuwayt | KW | gadm1 | 0.1078 | 0.1001 | 0.0967 | 0.0989 | 0.1014 | 0.1035 | 0.1051 | 0.1062 | 0.1072 | 0.1078 | 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-c3c3ec6bca04:174 | CAF | Central African Republic | COM.2_1 | Njazídja | KM | gadm1 | 0.6348 | 0.6334 | 0.662 | 0.7154 | 0.7502 | 0.7755 | 0.7948 | 0.8093 | 0.821 | 0.8305 | 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-c3c3ec6bca04:175 | CAF | Central African Republic | TUR.34_1 | Giresun | TR | gadm1 | 0.3232 | 0.2859 | 0.2509 | 0.2287 | 0.218 | 0.2121 | 0.2084 | 0.2061 | 0.2049 | 0.2041 | 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-c3c3ec6bca04:176 | CAF | Central African Republic | MKD.37_1 | Kratovo | MK | gadm1 | 0.4917 | 0.4373 | 0.4154 | 0.4067 | 0.4052 | 0.4038 | 0.4062 | 0.4091 | 0.4125 | 0.4176 | 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-c3c3ec6bca04:177 | CAF | Central African Republic | DJI.6_1 | Arta | DJ | gadm1 | 0.5643 | 0.6482 | 0.8203 | 1.0186 | 1.1345 | 1.2301 | 1.3141 | 1.3581 | 1.4184 | 1.4529 | 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-c3c3ec6bca04:178 | CAF | Central African Republic | IRQ.2_1 | Al-Basrah | IQ | gadm1 | 0.124 | 0.1178 | 0.1132 | 0.1135 | 0.1148 | 0.1163 | 0.1177 | 0.119 | 0.1201 | 0.1211 | 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-c3c3ec6bca04:179 | CAF | Central African Republic | SWE.5_1 | Halland | SE | gadm1 | 0.5623 | 0.5097 | 0.4668 | 0.455 | 0.4566 | 0.4623 | 0.4685 | 0.4747 | 0.4807 | 0.4861 | 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-c3c3ec6bca04:180 | CAF | Central African Republic | ZNC.4_1 | Iskele | CY | gadm1 | 0.3637 | 0.3411 | 0.3168 | 0.31 | 0.3074 | 0.3088 | 0.3118 | 0.3147 | 0.3175 | 0.3198 | 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-c3c3ec6bca04:181 | CAF | Central African Republic | THA.19_1 | Lampang | TH | gadm1 | 0.5599 | 0.5283 | 0.5244 | 0.5446 | 0.5638 | 0.5804 | 0.5951 | 0.6083 | 0.6202 | 0.631 | 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-c3c3ec6bca04:182 | CAF | Central African Republic | KHM.21_1 | Siemréab | KH | gadm1 | 0.6055 | 0.5925 | 0.6069 | 0.6406 | 0.667 | 0.689 | 0.7078 | 0.7244 | 0.7396 | 0.7535 | 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-c3c3ec6bca04:183 | CAF | Central African Republic | GTM.20_1 | Suchitepéquez | GT | gadm1 | 0.6714 | 0.6541 | 0.6614 | 0.6962 | 0.7287 | 0.7562 | 0.7794 | 0.7992 | 0.8162 | 0.8312 | 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-c3c3ec6bca04:184 | CAF | Central African Republic | KEN.1_1 | Baringo | KE | gadm1 | 0.7458 | 0.7257 | 0.7235 | 0.7468 | 0.7702 | 0.7913 | 0.8097 | 0.8259 | 0.8402 | 0.8528 | 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-c3c3ec6bca04:185 | CAF | Central African Republic | IND.8_1 | Dadra and Nagar Haveli | IN | gadm1 | 0.5005 | 0.4809 | 0.4686 | 0.4682 | 0.4705 | 0.4728 | 0.4751 | 0.4773 | 0.4793 | 0.4812 | 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-c3c3ec6bca04:186 | CAF | Central African Republic | SRB.15_1 | Rasinski | RS | gadm1 | 0.4998 | 0.4748 | 0.4629 | 0.463 | 0.468 | 0.4753 | 0.4839 | 0.4929 | 0.5019 | 0.5105 | 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-c3c3ec6bca04:187 | CAF | Central African Republic | VNM.27_1 | Hà Nội | VN | gadm1 | 0.5228 | 0.504 | 0.5089 | 0.5326 | 0.5547 | 0.5741 | 0.5909 | 0.6057 | 0.6187 | 0.6303 | 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-c3c3ec6bca04:188 | CAF | Central African Republic | USA.41_1 | South Carolina | US | gadm1 | 0.6341 | 0.5938 | 0.5769 | 0.5812 | 0.5899 | 0.5997 | 0.6096 | 0.6193 | 0.6285 | 0.6372 | 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-c3c3ec6bca04:189 | CAF | Central African Republic | BHS.21_1 | New Providence | BS | gadm1 | 0.6014 | 0.6088 | 0.6424 | 0.691 | 0.7292 | 0.7608 | 0.7882 | 0.8121 | 0.8331 | 0.8522 | 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-c3c3ec6bca04:190 | CAF | Central African Republic | SEN.1_1 | Dakar | SN | gadm1 | 0.4842 | 0.501 | 0.5442 | 0.6005 | 0.6394 | 0.6685 | 0.6911 | 0.7094 | 0.7249 | 0.7381 | 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-c3c3ec6bca04:191 | CAF | Central African Republic | GTM.7_1 | Guatemala | GT | gadm1 | 0.7056 | 0.6898 | 0.6976 | 0.7307 | 0.7602 | 0.7852 | 0.8064 | 0.8244 | 0.84 | 0.8534 | 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-c3c3ec6bca04:192 | CAF | Central African Republic | MAR.9_1 | Meknès - Tafilalet | MA | gadm1 | 0.3654 | 0.3715 | 0.3927 | 0.4231 | 0.4463 | 0.4645 | 0.4792 | 0.4912 | 0.501 | 0.5091 | 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-c3c3ec6bca04:193 | CAF | Central African Republic | NIC.3_1 | Boaco | NI | gadm1 | 0.7369 | 0.7255 | 0.7295 | 0.7613 | 0.7933 | 0.82 | 0.8429 | 0.8621 | 0.8788 | 0.8936 | 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-c3c3ec6bca04:194 | CAF | Central African Republic | NAM.11_1 | Oshikoto | null | gadm1 | 0.6525 | 0.6577 | 0.6867 | 0.7368 | 0.7692 | 0.7958 | 0.8154 | 0.833 | 0.8466 | 0.8597 | 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-c3c3ec6bca04:195 | CAF | Central African Republic | MKD.4_1 | Bitola | MK | gadm1 | 0.4775 | 0.4318 | 0.4113 | 0.4036 | 0.4007 | 0.401 | 0.4023 | 0.405 | 0.408 | 0.4115 | 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-c3c3ec6bca04:196 | CAF | Central African Republic | MKD.7_1 | Bosilovo | MK | gadm1 | 0.4828 | 0.4405 | 0.4202 | 0.4131 | 0.4121 | 0.4146 | 0.4181 | 0.4217 | 0.4258 | 0.4301 | 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-c3c3ec6bca04:197 | CAF | Central African Republic | HTI.8_1 | Ouest | HT | gadm1 | 0.8335 | 0.8539 | 0.9264 | 1.0281 | 1.0949 | 1.1439 | 1.1828 | 1.2148 | 1.2418 | 1.2653 | 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-c3c3ec6bca04:198 | CAF | Central African Republic | MDG.5_1 | Toamasina | MG | gadm1 | 0.7076 | 0.7274 | 0.7836 | 0.856 | 0.9097 | 0.9525 | 0.988 | 1.0183 | 1.0447 | 1.0683 | 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-c3c3ec6bca04:199 | CAF | Central African Republic | ITA.4_1 | Calabria | IT | gadm1 | 0.5285 | 0.4954 | 0.4638 | 0.4501 | 0.4486 | 0.4515 | 0.4565 | 0.4624 | 0.4687 | 0.475 | 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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