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4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:200 | MLI | Mali | 52511910B67622492960002 | Siaying | TW | geoboundaries_adm2 | 0.5488 | 0.5171 | 0.4874 | 0.4933 | 0.5031 | 0.5137 | 0.524 | 0.532 | 0.5386 | 0.5461 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:201 | MLI | Mali | 57096268B32991656624453 | Arrondissement des Chardonnières | HT | geoboundaries_adm2 | 0.9799 | 0.9936 | 1.028 | 1.1171 | 1.1802 | 1.2129 | 1.2451 | 1.2713 | 1.2973 | 1.312 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:202 | MLI | Mali | 56859067B14401929035087 | Palmas | BR | geoboundaries_adm2 | 0.6266 | 0.6018 | 0.6006 | 0.6153 | 0.6332 | 0.6514 | 0.6689 | 0.6856 | 0.7013 | 0.7157 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:203 | MLI | Mali | 56859067B90563935489719 | Ielmo Marinho | BR | geoboundaries_adm2 | 0.6366 | 0.604 | 0.5842 | 0.5855 | 0.5947 | 0.604 | 0.615 | 0.6249 | 0.634 | 0.6424 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:204 | MLI | Mali | 50627088B56415606246768 | San Pedro Cholula | MX | geoboundaries_adm2 | 0.7347 | 0.7193 | 0.7228 | 0.7491 | 0.7744 | 0.7965 | 0.8158 | 0.8328 | 0.8474 | 0.86 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:205 | MLI | Mali | 78962969B48901516523989 | Laem Ngop | TH | geoboundaries_adm2 | 0.5929 | 0.5561 | 0.5498 | 0.5638 | 0.5802 | 0.5969 | 0.6122 | 0.6275 | 0.6404 | 0.6527 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:206 | MLI | Mali | 52511910B46875128491 | Siaogang | TW | geoboundaries_adm2 | 0.5438 | 0.5106 | 0.4945 | 0.5025 | 0.5155 | 0.5276 | 0.5377 | 0.5465 | 0.5543 | 0.5609 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:207 | MLI | Mali | 22064153B13347263805777 | Atsugi | JP | geoboundaries_adm2 | 0.369 | 0.3774 | 0.4114 | 0.4518 | 0.472 | 0.4839 | 0.4914 | 0.4971 | 0.5005 | 0.5039 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:208 | MLI | Mali | 56859067B88553950142054 | Nova Alvorada | BR | geoboundaries_adm2 | 0.528 | 0.4982 | 0.4824 | 0.4758 | 0.4731 | 0.4816 | 0.4903 | 0.4899 | 0.5086 | 0.5119 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:209 | MLI | Mali | 16282066B90901920365195 | Zafarobod District | TJ | geoboundaries_adm2 | 0.1577 | 0.154 | 0.1673 | 0.1912 | 0.2044 | 0.2007 | 0.2055 | 0.2029 | 0.2091 | 0.2081 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:210 | MLI | Mali | 56859067B34787667002337 | Campinorte | BR | geoboundaries_adm2 | 0.6412 | 0.6063 | 0.5807 | 0.5835 | 0.5943 | 0.6089 | 0.6229 | 0.6384 | 0.6538 | 0.6662 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:211 | MLI | Mali | 14789045B6741933347766 | Bavel | KH | geoboundaries_adm2 | 0.6765 | 0.6652 | 0.6818 | 0.7191 | 0.7482 | 0.7718 | 0.7913 | 0.8088 | 0.8241 | 0.8378 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:212 | MLI | Mali | 50627088B99822052581383 | San Bartolomé Zoogocho | MX | geoboundaries_adm2 | 0.6479 | 0.6424 | 0.6597 | 0.6993 | 0.7229 | 0.7424 | 0.7608 | 0.7625 | 0.7737 | 0.7804 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:213 | MLI | Mali | 71786716B98057254885273 | Ringsted | DK | geoboundaries_adm2 | 0.6102 | 0.5578 | 0.5157 | 0.5036 | 0.5011 | 0.5034 | 0.5073 | 0.512 | 0.517 | 0.5217 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:214 | MLI | Mali | 14549572B38890589563780 | Imst | AT | geoboundaries_adm2 | 0.5223 | 0.4966 | 0.485 | 0.501 | 0.52 | 0.5394 | 0.5578 | 0.5743 | 0.5899 | 0.6043 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:215 | MLI | Mali | 56859067B36846089677549 | Chavantes | BR | geoboundaries_adm2 | 0.6015 | 0.5519 | 0.5063 | 0.4867 | 0.4811 | 0.4816 | 0.489 | 0.495 | 0.4999 | 0.5065 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:216 | MLI | Mali | 50627088B25823982981856 | Santa Ana Zegache | MX | geoboundaries_adm2 | 0.6958 | 0.6622 | 0.6776 | 0.7137 | 0.7333 | 0.7584 | 0.7792 | 0.7931 | 0.8025 | 0.8197 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:217 | MLI | Mali | 5366337B51987065811788 | Butha-Buthe (Butha-Buthe District) | LS | geoboundaries_adm2 | 0.7226 | 0.7358 | 0.7909 | 0.8396 | 0.8822 | 0.9114 | 0.9443 | 0.9596 | 0.9876 | 1.0031 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:218 | MLI | Mali | 1311010B33722502421814 | Toila vald | EE | geoboundaries_adm2 | 0.5285 | 0.4865 | 0.4605 | 0.4371 | 0.4473 | 0.4746 | 0.468 | 0.4704 | 0.4907 | 0.4927 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:219 | MLI | Mali | 16777658B96521919713520 | Al Fasher | SD | geoboundaries_adm2 | 0.3651 | 0.3538 | 0.3449 | 0.3483 | 0.3516 | 0.353 | 0.3531 | 0.3524 | 0.3517 | 0.3506 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:220 | MLI | Mali | 52423323B52261758967223 | Jackson | US | geoboundaries_adm2 | 0.6506 | 0.5946 | 0.5646 | 0.5595 | 0.5629 | 0.5688 | 0.5761 | 0.5838 | 0.5906 | 0.5975 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:221 | MLI | Mali | 74538382B69155666487417 | Slavuta | UA | geoboundaries_adm2 | 0.6191 | 0.5716 | 0.5282 | 0.5134 | 0.5184 | 0.5272 | 0.5368 | 0.5458 | 0.5536 | 0.5611 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:222 | MLI | Mali | 52423323B59045982564985 | Scioto | US | geoboundaries_adm2 | 0.6648 | 0.6003 | 0.5549 | 0.5407 | 0.5379 | 0.538 | 0.5402 | 0.5436 | 0.5471 | 0.5513 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:223 | MLI | Mali | 79465075B20533835568795 | Comalapa | GT | geoboundaries_adm2 | 0.6441 | 0.6351 | 0.6464 | 0.6814 | 0.7134 | 0.7415 | 0.7656 | 0.7858 | 0.804 | 0.8195 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:224 | MLI | Mali | 50627088B39624413829730 | Constancia del Rosario | MX | geoboundaries_adm2 | 0.6764 | 0.661 | 0.6696 | 0.6984 | 0.7232 | 0.7448 | 0.7617 | 0.7772 | 0.7894 | 0.8023 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:225 | MLI | Mali | 10022922B74242760889111 | Vangaindrano | MG | geoboundaries_adm2 | 0.6415 | 0.6531 | 0.6924 | 0.751 | 0.7933 | 0.8269 | 0.8553 | 0.8795 | 0.8995 | 0.9175 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:226 | MLI | Mali | 91817680B40534015790157 | Seongju-gun | KR | geoboundaries_adm2 | 0.3616 | 0.3618 | 0.3932 | 0.4343 | 0.4593 | 0.4756 | 0.4872 | 0.4966 | 0.5057 | 0.5096 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:227 | MLI | Mali | 59680162B2298430697284 | Idanre | NG | geoboundaries_adm2 | 0.7308 | 0.7368 | 0.7699 | 0.8313 | 0.8714 | 0.9019 | 0.9269 | 0.9487 | 0.966 | 0.9815 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:228 | MLI | Mali | 52511910B67072521171420 | Wanrong | TW | geoboundaries_adm2 | 0.6263 | 0.5895 | 0.5763 | 0.582 | 0.5865 | 0.5996 | 0.6094 | 0.6242 | 0.6222 | 0.6268 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:229 | MLI | Mali | 56859067B19428837054572 | Santa Rita de Cássia | BR | geoboundaries_adm2 | 0.697 | 0.6751 | 0.6714 | 0.6912 | 0.7168 | 0.7376 | 0.7581 | 0.7777 | 0.7937 | 0.8092 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:230 | MLI | Mali | 79887680B91755073573876 | Akdarya | UZ | geoboundaries_adm2 | 0.2281 | 0.2183 | 0.2281 | 0.2438 | 0.2525 | 0.2582 | 0.2627 | 0.2658 | 0.2688 | 0.2705 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:231 | MLI | Mali | 56859067B81738961349319 | Capim Branco | BR | geoboundaries_adm2 | 0.5958 | 0.5678 | 0.5526 | 0.566 | 0.5827 | 0.6005 | 0.6171 | 0.6318 | 0.6475 | 0.6595 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:232 | MLI | Mali | 54806243B20325716676417 | Thateng | LA | geoboundaries_adm2 | 0.515 | 0.5047 | 0.5344 | 0.5843 | 0.621 | 0.6505 | 0.6768 | 0.7008 | 0.7224 | 0.7424 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:233 | MLI | Mali | 54616110B20470092766685 | Beylagan District | AZ | geoboundaries_adm2 | 0.2575 | 0.2563 | 0.2594 | 0.2715 | 0.2789 | 0.2829 | 0.2882 | 0.2894 | 0.2913 | 0.2923 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:234 | MLI | Mali | 9891525B34991844410441 | Tyul`kubaskiy | KZ | geoboundaries_adm2 | 0.4249 | 0.427 | 0.4581 | 0.5094 | 0.5262 | 0.5415 | 0.5566 | 0.5582 | 0.5605 | 0.5736 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:235 | MLI | Mali | 52423323B8649342389596 | Motley | US | geoboundaries_adm2 | 0.6085 | 0.5681 | 0.5268 | 0.5308 | 0.527 | 0.5299 | 0.5356 | 0.5268 | 0.5321 | 0.5355 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:236 | MLI | Mali | 56859067B48091905918616 | Vitória de Santo Antão | BR | geoboundaries_adm2 | 0.6251 | 0.5937 | 0.5792 | 0.5878 | 0.6027 | 0.6172 | 0.6312 | 0.6437 | 0.6548 | 0.6649 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:237 | MLI | Mali | 3690345B75499732008954 | Nyando | KE | geoboundaries_adm2 | 0.7325 | 0.7023 | 0.6956 | 0.7172 | 0.7433 | 0.7619 | 0.7824 | 0.7964 | 0.8086 | 0.8202 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:238 | MLI | Mali | 96606910B72559103883158 | Kabwe | ZM | geoboundaries_adm2 | 0.5626 | 0.5651 | 0.5934 | 0.6338 | 0.6688 | 0.6964 | 0.7215 | 0.7436 | 0.7637 | 0.7815 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:239 | MLI | Mali | 52511910B80624224978544 | Huxi Town | TW | geoboundaries_adm2 | 0.537 | 0.5065 | 0.4912 | 0.4937 | 0.5079 | 0.5183 | 0.527 | 0.5357 | 0.544 | 0.5497 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:240 | MLI | Mali | 74538382B39705713449097 | Smila | UA | geoboundaries_adm2 | 0.6009 | 0.5556 | 0.5179 | 0.5102 | 0.5177 | 0.5284 | 0.5388 | 0.5483 | 0.5564 | 0.5636 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:241 | MLI | Mali | 22064153B42900259009537 | Sakata | JP | geoboundaries_adm2 | 0.302 | 0.3192 | 0.3693 | 0.4224 | 0.446 | 0.4587 | 0.4649 | 0.4695 | 0.4727 | 0.4751 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:242 | MLI | Mali | 2599482B78570250363817 | GRECI | RO | geoboundaries_adm2 | 0.5145 | 0.4654 | 0.425 | 0.4176 | 0.4272 | 0.4357 | 0.4473 | 0.4529 | 0.4627 | 0.47 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:243 | MLI | Mali | 2272694B97081854358726 | Castro Verde | PT | geoboundaries_adm2 | 0.5177 | 0.4911 | 0.4577 | 0.4499 | 0.458 | 0.4625 | 0.4716 | 0.4789 | 0.4857 | 0.4942 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:244 | MLI | Mali | 56859067B90154898743360 | Mulungu | BR | geoboundaries_adm2 | 0.651 | 0.6282 | 0.6155 | 0.6248 | 0.6357 | 0.6446 | 0.6594 | 0.668 | 0.6803 | 0.6851 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:245 | MLI | Mali | 50627088B66284744299832 | Chikindzonot | MX | geoboundaries_adm2 | 0.7012 | 0.6652 | 0.6737 | 0.699 | 0.7323 | 0.7564 | 0.7832 | 0.7942 | 0.8115 | 0.8213 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:246 | MLI | Mali | 76128533B89925537847414 | Sivaganga | IN | geoboundaries_adm2 | 0.3858 | 0.3724 | 0.3705 | 0.3779 | 0.3818 | 0.3846 | 0.3868 | 0.3886 | 0.39 | 0.3911 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:247 | MLI | Mali | 76128533B42922918567330 | Chhatarpur | IN | geoboundaries_adm2 | 0.4339 | 0.4122 | 0.3961 | 0.3911 | 0.3899 | 0.3896 | 0.39 | 0.3905 | 0.3913 | 0.3922 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:248 | MLI | Mali | 49546643B83328532988272 | Siguiri | GN | geoboundaries_adm2 | 0.4342 | 0.4349 | 0.455 | 0.49 | 0.5174 | 0.5392 | 0.5569 | 0.5715 | 0.584 | 0.5945 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:249 | MLI | Mali | 78962969B45700319590301 | Bung Khla | TH | geoboundaries_adm2 | 0.563 | 0.5455 | 0.5518 | 0.5733 | 0.5933 | 0.6138 | 0.6303 | 0.6464 | 0.6608 | 0.6723 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:250 | MLI | Mali | 50627088B80053246551902 | Acajete | MX | geoboundaries_adm2 | 0.7199 | 0.696 | 0.699 | 0.7228 | 0.7464 | 0.7674 | 0.7886 | 0.8032 | 0.8202 | 0.8345 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:251 | MLI | Mali | 70781695B75500523526502 | Berg | SE | geoboundaries_adm2 | 0.59 | 0.544 | 0.5033 | 0.4903 | 0.4932 | 0.5007 | 0.508 | 0.5127 | 0.5169 | 0.5259 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:252 | MLI | Mali | 2599482B62414452256024 | BOTIZ | RO | geoboundaries_adm2 | 0.6217 | 0.5672 | 0.5172 | 0.5022 | 0.5093 | 0.5035 | 0.5227 | 0.525 | 0.53 | 0.5357 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:253 | MLI | Mali | 52423323B74830272216287 | Hancock | US | geoboundaries_adm2 | 0.6359 | 0.5665 | 0.5345 | 0.5299 | 0.5312 | 0.5336 | 0.5352 | 0.5415 | 0.5459 | 0.5517 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:254 | MLI | Mali | 86288312B55078713948498 | Drangedal nor | NO | geoboundaries_adm2 | 0.5101 | 0.468 | 0.4492 | 0.4483 | 0.4474 | 0.4543 | 0.4595 | 0.4681 | 0.4707 | 0.4804 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:255 | MLI | Mali | 47425931B10108460675613 | Guarambare | PY | geoboundaries_adm2 | 0.7171 | 0.6888 | 0.6686 | 0.6828 | 0.7074 | 0.7346 | 0.7614 | 0.7872 | 0.8103 | 0.8322 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:256 | MLI | Mali | 25037944B62637049608158 | Maitland | AU | geoboundaries_adm2 | 0.572 | 0.5179 | 0.4952 | 0.4909 | 0.4926 | 0.496 | 0.5003 | 0.5054 | 0.5102 | 0.5149 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:257 | MLI | Mali | 52423323B48862010704992 | Johnson | US | geoboundaries_adm2 | 0.6633 | 0.6018 | 0.565 | 0.555 | 0.5531 | 0.5559 | 0.5587 | 0.5634 | 0.5681 | 0.5727 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:258 | MLI | Mali | 50627088B53037445853541 | Maxcanú | MX | geoboundaries_adm2 | 0.6784 | 0.6384 | 0.6191 | 0.627 | 0.6396 | 0.6545 | 0.667 | 0.6789 | 0.69 | 0.6989 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:259 | MLI | Mali | 76128533B30151252629779 | West District | IN | geoboundaries_adm2 | 0.5444 | 0.5308 | 0.5312 | 0.5479 | 0.5623 | 0.5751 | 0.5865 | 0.5968 | 0.6063 | 0.6151 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:260 | MLI | Mali | 56859067B28200345020958 | Corrente | BR | geoboundaries_adm2 | 0.728 | 0.7144 | 0.7182 | 0.7409 | 0.7612 | 0.7796 | 0.7977 | 0.8131 | 0.8272 | 0.8401 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:261 | MLI | Mali | 22064153B13237952508684 | Miyoshi | JP | geoboundaries_adm2 | 0.3172 | 0.3242 | 0.3588 | 0.3989 | 0.4189 | 0.4276 | 0.4346 | 0.4395 | 0.4436 | 0.4451 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:262 | MLI | Mali | 56859067B62077579865137 | Viseu | BR | geoboundaries_adm2 | 0.7932 | 0.778 | 0.7863 | 0.8137 | 0.8403 | 0.863 | 0.8832 | 0.9009 | 0.9167 | 0.9319 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:263 | MLI | Mali | 52423323B11508580197102 | Attala | US | geoboundaries_adm2 | 0.6466 | 0.6105 | 0.5871 | 0.584 | 0.5927 | 0.601 | 0.6113 | 0.6216 | 0.6302 | 0.6405 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:264 | MLI | Mali | 50627088B98437787119642 | Rosales | MX | geoboundaries_adm2 | 0.658 | 0.6356 | 0.6138 | 0.6138 | 0.6241 | 0.6374 | 0.6513 | 0.6644 | 0.6751 | 0.686 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:265 | MLI | Mali | 27666195B48928402740143 | Saba | HN | geoboundaries_adm2 | 0.7458 | 0.7237 | 0.7242 | 0.757 | 0.7887 | 0.8153 | 0.8385 | 0.8583 | 0.8762 | 0.8908 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:266 | MLI | Mali | 25037944B39543590028882 | Holdfast Bay | AU | geoboundaries_adm2 | 0.5019 | 0.4649 | 0.4614 | 0.4714 | 0.4789 | 0.486 | 0.4928 | 0.4994 | 0.506 | 0.5115 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:267 | MLI | Mali | 78962969B62426032624456 | Mae Suai | TH | geoboundaries_adm2 | 0.5915 | 0.5661 | 0.571 | 0.5987 | 0.622 | 0.6424 | 0.6595 | 0.6745 | 0.6887 | 0.701 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:268 | MLI | Mali | 96606910B62371668778538 | Chitambo | ZM | geoboundaries_adm2 | 0.638 | 0.6325 | 0.6462 | 0.6805 | 0.707 | 0.734 | 0.7569 | 0.7781 | 0.8012 | 0.8225 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:269 | MLI | Mali | 22064153B81183812222249 | null | JP | geoboundaries_adm2 | 0.3823 | 0.3874 | 0.427 | 0.4655 | 0.4849 | 0.4982 | 0.5087 | 0.5081 | 0.5138 | 0.5181 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:270 | MLI | Mali | 2272694B49482896641350 | Ourem | PT | geoboundaries_adm2 | 0.5427 | 0.5018 | 0.4693 | 0.4629 | 0.4687 | 0.4794 | 0.4897 | 0.4997 | 0.5093 | 0.5182 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:271 | MLI | Mali | 54616110B75219613739908 | Sumqayit City | AZ | geoboundaries_adm2 | 0.224 | 0.2156 | 0.2119 | 0.2165 | 0.2207 | 0.2242 | 0.2267 | 0.2287 | 0.2302 | 0.2317 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:272 | MLI | Mali | 56859067B64518825165882 | Paracuru | BR | geoboundaries_adm2 | 0.6511 | 0.6257 | 0.6183 | 0.632 | 0.6489 | 0.664 | 0.6782 | 0.6915 | 0.7028 | 0.7139 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:273 | MLI | Mali | 61730980B58435423783603 | Iruya | AR | geoboundaries_adm2 | 0.7949 | 0.7663 | 0.7908 | 0.8307 | 0.8639 | 0.8913 | 0.9219 | 0.9298 | 0.951 | 0.9668 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:274 | MLI | Mali | 2599482B3078952345821 | HELEGIU | RO | geoboundaries_adm2 | 0.5439 | 0.5027 | 0.4848 | 0.4758 | 0.4794 | 0.4823 | 0.4953 | 0.504 | 0.5095 | 0.5079 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:275 | MLI | Mali | 99834313B35398573425491 | Lahden seutukunta | FI | geoboundaries_adm2 | 0.5026 | 0.467 | 0.4426 | 0.44 | 0.4459 | 0.4536 | 0.4611 | 0.4678 | 0.4736 | 0.4785 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:276 | MLI | Mali | 76128533B78482805703540 | Seoni | IN | geoboundaries_adm2 | 0.4543 | 0.4341 | 0.422 | 0.4212 | 0.423 | 0.4247 | 0.4266 | 0.4288 | 0.4311 | 0.4334 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:277 | MLI | Mali | 97123803B34190060198663 | powiat miński | PL | geoboundaries_adm2 | 0.5201 | 0.501 | 0.4948 | 0.5072 | 0.5216 | 0.5342 | 0.5454 | 0.5554 | 0.5647 | 0.5735 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:278 | MLI | Mali | 76128533B42970684683247 | Dhalai | IN | geoboundaries_adm2 | 0.5875 | 0.5747 | 0.5782 | 0.5959 | 0.6121 | 0.6256 | 0.6374 | 0.6487 | 0.6589 | 0.6684 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:279 | MLI | Mali | 92452058B41395444182143 | Montes | VE | geoboundaries_adm2 | 0.7689 | 0.7661 | 0.7828 | 0.8169 | 0.8468 | 0.8722 | 0.8948 | 0.9166 | 0.9363 | 0.9545 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:280 | MLI | Mali | 54988432B60562394154320 | Ayvacık | TR | geoboundaries_adm2 | 0.2513 | 0.2222 | 0.1974 | 0.1832 | 0.175 | 0.1699 | 0.1664 | 0.1649 | 0.1643 | 0.1637 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:281 | MLI | Mali | 59680162B64610537243626 | Gwandu | NG | geoboundaries_adm2 | 0.4481 | 0.4612 | 0.4893 | 0.5338 | 0.5602 | 0.5809 | 0.5998 | 0.6139 | 0.6257 | 0.6358 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:282 | MLI | Mali | 59680162B4821538642969 | Ejigbo | NG | geoboundaries_adm2 | 0.6407 | 0.6433 | 0.6757 | 0.724 | 0.7623 | 0.7888 | 0.8108 | 0.8287 | 0.8448 | 0.8588 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:283 | MLI | Mali | 86222999B60325545530524 | Hariema | JO | geoboundaries_adm2 | 0.3343 | 0.3057 | 0.2633 | 0.2282 | 0.2039 | 0.1846 | 0.165 | 0.1631 | 0.1513 | 0.1519 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:284 | MLI | Mali | 52423323B75500493210020 | Guilford | US | geoboundaries_adm2 | 0.626 | 0.5995 | 0.5947 | 0.6051 | 0.6174 | 0.63 | 0.6419 | 0.6532 | 0.6635 | 0.6733 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:285 | MLI | Mali | 50627088B55174657645518 | Benito Juárez | MX | geoboundaries_adm2 | 0.7347 | 0.7133 | 0.7105 | 0.7262 | 0.7437 | 0.7598 | 0.7742 | 0.787 | 0.7983 | 0.8083 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:286 | MLI | Mali | 78962969B55596072077458 | Phra Khanong | TH | geoboundaries_adm2 | 0.5694 | 0.5407 | 0.5414 | 0.563 | 0.5836 | 0.6006 | 0.6153 | 0.6289 | 0.6409 | 0.6521 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:287 | MLI | Mali | 54988432B47187297633278 | Kağıthane | TR | geoboundaries_adm2 | 0.3453 | 0.3177 | 0.286 | 0.2658 | 0.2581 | 0.2554 | 0.2546 | 0.2547 | 0.2553 | 0.2559 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:288 | MLI | Mali | 97123803B74510844522195 | powiat żarski | PL | geoboundaries_adm2 | 0.5484 | 0.518 | 0.5006 | 0.5106 | 0.5232 | 0.5342 | 0.5445 | 0.5541 | 0.5633 | 0.5723 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:289 | MLI | Mali | 6326949B69762252447495 | Aalsmeer | NL | geoboundaries_adm2 | 0.6452 | 0.6072 | 0.5774 | 0.5733 | 0.5778 | 0.5837 | 0.5914 | 0.5979 | 0.6043 | 0.6107 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:290 | MLI | Mali | 52423323B7501657464263 | Traverse | US | geoboundaries_adm2 | 0.5739 | 0.5539 | 0.5365 | 0.5307 | 0.5431 | 0.5423 | 0.553 | 0.5544 | 0.5598 | 0.5661 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:291 | MLI | Mali | 52423323B20578192164801 | Coleman | US | geoboundaries_adm2 | 0.6637 | 0.6104 | 0.5828 | 0.5772 | 0.5773 | 0.5776 | 0.5852 | 0.5898 | 0.5953 | 0.5968 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:292 | MLI | Mali | 72390352B90906351205470 | Arusha Urban | TZ | geoboundaries_adm2 | 0.6447 | 0.6459 | 0.6718 | 0.7189 | 0.7552 | 0.784 | 0.8077 | 0.8277 | 0.8452 | 0.861 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:293 | MLI | Mali | 10022922B52736847594449 | Ambohidratrimo | MG | geoboundaries_adm2 | 0.6945 | 0.7052 | 0.7622 | 0.8369 | 0.8874 | 0.925 | 0.9553 | 0.9807 | 1.0033 | 1.0232 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:294 | MLI | Mali | 76128533B50014751336341 | Singrauli | IN | geoboundaries_adm2 | 0.5085 | 0.4811 | 0.46 | 0.4519 | 0.449 | 0.4485 | 0.4493 | 0.4504 | 0.4517 | 0.4534 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:295 | MLI | Mali | 8926073B46590111149246 | Kayes | ML | geoboundaries_adm2 | 0.3669 | 0.3872 | 0.4439 | 0.5134 | 0.5557 | 0.5853 | 0.6059 | 0.6233 | 0.6369 | 0.6497 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:296 | MLI | Mali | 56859067B90662257408012 | Minduri | BR | geoboundaries_adm2 | 0.5807 | 0.5441 | 0.5281 | 0.5427 | 0.5523 | 0.5641 | 0.5755 | 0.5832 | 0.5964 | 0.6078 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:297 | MLI | Mali | 91817680B30389585516178 | Haman-gun | KR | geoboundaries_adm2 | 0.2991 | 0.2961 | 0.3399 | 0.3878 | 0.4144 | 0.4307 | 0.4419 | 0.4511 | 0.457 | 0.4626 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:298 | MLI | Mali | 52423323B14984723177246 | Kalkaska | US | geoboundaries_adm2 | 0.6646 | 0.6171 | 0.5874 | 0.5824 | 0.5836 | 0.5872 | 0.592 | 0.5983 | 0.6038 | 0.6094 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:299 | MLI | Mali | 56859067B67019144330304 | São Pedro dos Crentes | BR | geoboundaries_adm2 | 0.6603 | 0.6366 | 0.6387 | 0.6664 | 0.6869 | 0.7086 | 0.7328 | 0.7407 | 0.7604 | 0.7791 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | geoboundaries_adm2_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5/download/geoboundaries_adm2_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
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