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4d0a6cbb-1f0a-49ea-8027-fa65b12a0fd5:0 | MLI | Mali | 56859067B26511615248896 | Barra do Piraí | BR | geoboundaries_adm2 | 0.6453 | 0.6065 | 0.587 | 0.5811 | 0.5842 | 0.5904 | 0.598 | 0.6062 | 0.6146 | 0.6224 | 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-fa65b12a0fd5:1 | MLI | Mali | 86281439B19526712257024 | Oxapampa | PE | geoboundaries_adm2 | 0.7212 | 0.7099 | 0.725 | 0.7656 | 0.8043 | 0.8379 | 0.8667 | 0.8917 | 0.9142 | 0.9336 | 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-fa65b12a0fd5:2 | MLI | Mali | 76426892B74237617683232 | Tararua District | NZ | geoboundaries_adm2 | 0.6089 | 0.5392 | 0.5004 | 0.492 | 0.4931 | 0.4971 | 0.5024 | 0.5047 | 0.51 | 0.5141 | 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-fa65b12a0fd5:3 | MLI | Mali | 52423323B12938899253379 | Cherokee | US | geoboundaries_adm2 | 0.6783 | 0.6204 | 0.5809 | 0.5741 | 0.5773 | 0.58 | 0.5851 | 0.5915 | 0.598 | 0.6041 | 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-fa65b12a0fd5:4 | MLI | Mali | 7082276B19709317443254 | Bolívar | CO | geoboundaries_adm2 | 0.7532 | 0.7466 | 0.7547 | 0.7767 | 0.802 | 0.8293 | 0.8529 | 0.8724 | 0.887 | 0.9033 | 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-fa65b12a0fd5:5 | MLI | Mali | 56859067B52405127182950 | Mirangaba | BR | geoboundaries_adm2 | 0.6394 | 0.62 | 0.6197 | 0.637 | 0.6563 | 0.6752 | 0.6921 | 0.709 | 0.7228 | 0.7379 | 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-fa65b12a0fd5:6 | MLI | Mali | 33768554B77168572394837 | Kula Municipality | RS | geoboundaries_adm2 | 0.5062 | 0.478 | 0.4581 | 0.4539 | 0.4561 | 0.4608 | 0.4667 | 0.4733 | 0.4804 | 0.4865 | 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-fa65b12a0fd5:7 | MLI | Mali | 56859067B80558453593269 | Nova Ponte | BR | geoboundaries_adm2 | 0.6235 | 0.5781 | 0.5504 | 0.5445 | 0.5503 | 0.5599 | 0.5715 | 0.5836 | 0.5949 | 0.6057 | 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-fa65b12a0fd5:8 | MLI | Mali | 56859067B13796329271390 | Brunópolis | BR | geoboundaries_adm2 | 0.5454 | 0.5194 | 0.4994 | 0.4972 | 0.4935 | 0.5003 | 0.5108 | 0.5146 | 0.5239 | 0.5233 | 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-fa65b12a0fd5:9 | MLI | Mali | 37247803B46685873859675 | Al-Bagur | EG | geoboundaries_adm2 | 0.3333 | 0.2908 | 0.24 | 0.2038 | 0.1847 | 0.1724 | 0.1639 | 0.1575 | 0.1527 | 0.1488 | 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-fa65b12a0fd5:10 | MLI | Mali | 92452058B41510746407735 | Heres | VE | geoboundaries_adm2 | 0.7694 | 0.7633 | 0.7798 | 0.8121 | 0.842 | 0.8691 | 0.8938 | 0.9161 | 0.9368 | 0.9554 | 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-fa65b12a0fd5:11 | MLI | Mali | 22746128B99937545443202 | Tapanuli Utara | ID | geoboundaries_adm2 | 0.5999 | 0.5883 | 0.5967 | 0.6293 | 0.6593 | 0.6856 | 0.7091 | 0.7297 | 0.7487 | 0.7662 | 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-fa65b12a0fd5:12 | MLI | Mali | 22064153B63858884041047 | Maebashi | JP | geoboundaries_adm2 | 0.3535 | 0.3656 | 0.411 | 0.4568 | 0.4799 | 0.4941 | 0.5028 | 0.5091 | 0.5138 | 0.5173 | 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-fa65b12a0fd5:13 | MLI | Mali | 47994165B48268751645511 | Kashari | UG | geoboundaries_adm2 | 0.7237 | 0.754 | 0.8325 | 0.9275 | 0.9879 | 1.0332 | 1.072 | 1.1072 | 1.1406 | 1.1723 | 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-fa65b12a0fd5:14 | MLI | Mali | 36326507B38462583596387 | Qibla | KW | geoboundaries_adm2 | 0.1159 | 0.1077 | 0.1039 | 0.106 | 0.1084 | 0.1107 | 0.1123 | 0.1136 | 0.1146 | 0.1155 | 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-fa65b12a0fd5:15 | MLI | Mali | 56859067B98785698808341 | Campina Verde | BR | geoboundaries_adm2 | 0.6541 | 0.6074 | 0.5745 | 0.5652 | 0.5649 | 0.5703 | 0.5763 | 0.5837 | 0.5918 | 0.5993 | 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-fa65b12a0fd5:16 | MLI | Mali | 57096268B29705038467161 | Arrondissement d’Aquin | HT | geoboundaries_adm2 | 0.8991 | 0.9244 | 0.9986 | 1.103 | 1.1695 | 1.2161 | 1.2508 | 1.2803 | 1.3049 | 1.3272 | 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-fa65b12a0fd5:17 | MLI | Mali | 36326507B16040598622878 | Bar Jahra | KW | geoboundaries_adm2 | 0.1118 | 0.104 | 0.1064 | 0.1144 | 0.1177 | 0.12 | 0.12 | 0.1211 | 0.1207 | 0.1232 | 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-fa65b12a0fd5:18 | MLI | Mali | 54988432B23414498187301 | Çayeli | TR | geoboundaries_adm2 | 0.2674 | 0.2417 | 0.2134 | 0.1954 | 0.1848 | 0.1788 | 0.1748 | 0.1727 | 0.1702 | 0.1697 | 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-fa65b12a0fd5:19 | MLI | Mali | 99834313B76395207187272 | Keuruun seutukunta | FI | geoboundaries_adm2 | 0.5244 | 0.4825 | 0.4583 | 0.4559 | 0.462 | 0.4645 | 0.4727 | 0.4806 | 0.4847 | 0.4892 | 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-fa65b12a0fd5:20 | MLI | Mali | 67162791B56929358145249 | Slonim | BY | geoboundaries_adm2 | 0.4623 | 0.4682 | 0.5197 | 0.5801 | 0.6059 | 0.6139 | 0.6233 | 0.6285 | 0.6256 | 0.631 | 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-fa65b12a0fd5:21 | MLI | Mali | 35544464B1884855613124 | San Félix | PA | geoboundaries_adm2 | 0.9202 | 0.9006 | 0.9133 | 0.9416 | 0.9963 | 1.0383 | 1.0624 | 1.0818 | 1.1237 | 1.1434 | 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-fa65b12a0fd5:22 | MLI | Mali | 21766830B25707783862584 | Gatara | BI | geoboundaries_adm2 | 0.6731 | 0.6754 | 0.7028 | 0.7543 | 0.7903 | 0.8351 | 0.8437 | 0.8242 | 0.8609 | 0.9029 | 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-fa65b12a0fd5:23 | MLI | Mali | 2599482B27172768373600 | BAILE GOVORA | RO | geoboundaries_adm2 | 0.5546 | 0.5119 | 0.4932 | 0.4653 | 0.4784 | 0.4739 | 0.4911 | 0.5013 | 0.5017 | 0.5118 | 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-fa65b12a0fd5:24 | MLI | Mali | 22064153B17443115546549 | Kanuma | JP | geoboundaries_adm2 | 0.3447 | 0.366 | 0.4094 | 0.4575 | 0.4823 | 0.4952 | 0.5041 | 0.5095 | 0.5134 | 0.5146 | 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-fa65b12a0fd5:25 | MLI | Mali | 56859067B61124887275207 | São Jorge do Patrocínio | BR | geoboundaries_adm2 | 0.6074 | 0.5456 | 0.5069 | 0.4949 | 0.4989 | 0.5065 | 0.5166 | 0.5236 | 0.5351 | 0.5443 | 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-fa65b12a0fd5:26 | MLI | Mali | 97123803B83851306076890 | powiat strzelecko-drezdenecki | PL | geoboundaries_adm2 | 0.5517 | 0.5228 | 0.5079 | 0.5177 | 0.5316 | 0.5437 | 0.5543 | 0.5636 | 0.5733 | 0.5824 | 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-fa65b12a0fd5:27 | MLI | Mali | 2272694B80906027482326 | Agueda | PT | geoboundaries_adm2 | 0.5848 | 0.5394 | 0.4932 | 0.4834 | 0.488 | 0.4971 | 0.5074 | 0.5171 | 0.5264 | 0.5353 | 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-fa65b12a0fd5:28 | MLI | Mali | 29324351B96322389770450 | Mezőcsát | HU | geoboundaries_adm2 | 0.5705 | 0.5249 | 0.4924 | 0.4851 | 0.4855 | 0.4897 | 0.4958 | 0.5009 | 0.506 | 0.5122 | 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-fa65b12a0fd5:29 | MLI | Mali | 22064153B60558378980420 | null | JP | geoboundaries_adm2 | 0.2906 | 0.3148 | 0.3558 | 0.4018 | 0.4116 | 0.4315 | 0.4375 | 0.4556 | 0.4524 | 0.4499 | 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-fa65b12a0fd5:30 | MLI | Mali | 22746128B55477646801661 | Tana Toraja | ID | geoboundaries_adm2 | 0.5452 | 0.5319 | 0.5438 | 0.5768 | 0.6059 | 0.6324 | 0.6552 | 0.6758 | 0.6948 | 0.7123 | 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-fa65b12a0fd5:31 | MLI | Mali | 7082276B28437214544786 | Pueblorrico | CO | geoboundaries_adm2 | 0.7415 | 0.7215 | 0.7346 | 0.7702 | 0.801 | 0.8278 | 0.8506 | 0.8703 | 0.8883 | 0.9064 | 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-fa65b12a0fd5:32 | MLI | Mali | 50627088B56291356806731 | Hueyapan | MX | geoboundaries_adm2 | 0.8043 | 0.7941 | 0.8134 | 0.8615 | 0.9011 | 0.9347 | 0.9615 | 0.9833 | 1.0036 | 1.021 | 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-fa65b12a0fd5:33 | MLI | Mali | 79465075B64841514160726 | Morazán | GT | geoboundaries_adm2 | 0.674 | 0.6482 | 0.6479 | 0.6744 | 0.6985 | 0.7177 | 0.7369 | 0.7538 | 0.7671 | 0.7799 | 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-fa65b12a0fd5:34 | MLI | Mali | 2599482B54660025381406 | CRAMPOIA | RO | geoboundaries_adm2 | 0.5534 | 0.4693 | 0.4264 | 0.412 | 0.4122 | 0.4137 | 0.4176 | 0.422 | 0.4275 | 0.4379 | 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-fa65b12a0fd5:35 | MLI | Mali | 16282066B25952413622692 | Jabbor Rasulov District | TJ | geoboundaries_adm2 | 0.2044 | 0.1943 | 0.1851 | 0.2015 | 0.2054 | 0.2091 | 0.2076 | 0.2072 | 0.2024 | 0.2143 | 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-fa65b12a0fd5:36 | MLI | Mali | 50627088B5477759296036 | Juárez | MX | geoboundaries_adm2 | 0.6957 | 0.6726 | 0.6648 | 0.6761 | 0.6925 | 0.7091 | 0.7249 | 0.7392 | 0.7521 | 0.7637 | 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-fa65b12a0fd5:37 | MLI | Mali | 22746128B28569646979400 | Bungo | ID | geoboundaries_adm2 | 0.5289 | 0.5155 | 0.5281 | 0.5634 | 0.5947 | 0.6214 | 0.6448 | 0.6654 | 0.6843 | 0.7013 | 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-fa65b12a0fd5:38 | MLI | Mali | 74538382B42406222783177 | Berdiansk | UA | geoboundaries_adm2 | 0.5882 | 0.5649 | 0.5635 | 0.5881 | 0.6048 | 0.6167 | 0.6247 | 0.629 | 0.6318 | 0.6334 | 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-fa65b12a0fd5:39 | MLI | Mali | 56859067B7605196219399 | Rio Tinto | BR | geoboundaries_adm2 | 0.6273 | 0.5956 | 0.5826 | 0.5924 | 0.606 | 0.6199 | 0.6334 | 0.6445 | 0.6578 | 0.6685 | 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-fa65b12a0fd5:40 | MLI | Mali | 52511910B19330386236783 | Qishan | TW | geoboundaries_adm2 | 0.5435 | 0.5105 | 0.4949 | 0.4978 | 0.5077 | 0.5178 | 0.5267 | 0.5343 | 0.5417 | 0.5474 | 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-fa65b12a0fd5:41 | MLI | Mali | 29324351B25894397112826 | Ózd | HU | geoboundaries_adm2 | 0.5821 | 0.5399 | 0.4988 | 0.4864 | 0.484 | 0.4855 | 0.4886 | 0.4921 | 0.4966 | 0.502 | 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-fa65b12a0fd5:42 | MLI | Mali | 74538382B90572707310825 | Balta | UA | geoboundaries_adm2 | 0.6225 | 0.5717 | 0.5261 | 0.511 | 0.5143 | 0.5222 | 0.5307 | 0.5395 | 0.5467 | 0.5531 | 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-fa65b12a0fd5:43 | MLI | Mali | 8926073B71452714760112 | Macina | ML | geoboundaries_adm2 | 0.3073 | 0.3273 | 0.3741 | 0.4456 | 0.5089 | 0.537 | 0.5204 | 0.5686 | 0.5809 | 0.5815 | 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-fa65b12a0fd5:44 | MLI | Mali | 22746128B87861638449066 | Seluma | ID | geoboundaries_adm2 | 0.4983 | 0.4793 | 0.4827 | 0.5062 | 0.5288 | 0.5491 | 0.5671 | 0.5837 | 0.5992 | 0.6135 | 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-fa65b12a0fd5:45 | MLI | Mali | 56859067B24314979756664 | Tarumirim | BR | geoboundaries_adm2 | 0.6536 | 0.6083 | 0.5943 | 0.5988 | 0.6119 | 0.6255 | 0.6392 | 0.6512 | 0.6646 | 0.6756 | 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-fa65b12a0fd5:46 | MLI | Mali | 56859067B68124808583770 | Diamantino | BR | geoboundaries_adm2 | 0.6086 | 0.5678 | 0.5431 | 0.5406 | 0.5482 | 0.5585 | 0.569 | 0.5795 | 0.5897 | 0.6003 | 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-fa65b12a0fd5:47 | MLI | Mali | 47425931B1619028943370 | Mbocayaty | PY | geoboundaries_adm2 | 0.7492 | 0.7114 | 0.6887 | 0.7022 | 0.7268 | 0.7504 | 0.7754 | 0.797 | 0.8186 | 0.8375 | 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-fa65b12a0fd5:48 | MLI | Mali | 54988432B97750786537608 | Gercüş | TR | geoboundaries_adm2 | 0.1901 | 0.1887 | 0.1795 | 0.1711 | 0.1652 | 0.1659 | 0.1631 | 0.1689 | 0.1699 | 0.1667 | 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-fa65b12a0fd5:49 | MLI | Mali | 2599482B98058077803275 | VIISOARA | RO | geoboundaries_adm2 | 0.5545 | 0.518 | 0.4977 | 0.4954 | 0.4968 | 0.5041 | 0.5145 | 0.5231 | 0.528 | 0.5374 | 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-fa65b12a0fd5:50 | MLI | Mali | 76128533B34832354589031 | Shrawasti | IN | geoboundaries_adm2 | 0.5445 | 0.541 | 0.5423 | 0.5499 | 0.5537 | 0.5567 | 0.5596 | 0.5618 | 0.5641 | 0.5663 | 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-fa65b12a0fd5:51 | MLI | Mali | 76128533B97126567441665 | Medak | IN | geoboundaries_adm2 | 0.3812 | 0.3695 | 0.3646 | 0.37 | 0.3743 | 0.3773 | 0.3796 | 0.3816 | 0.3836 | 0.3849 | 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-fa65b12a0fd5:52 | MLI | Mali | 10022922B64856352127888 | 2e Arrondissement | MG | geoboundaries_adm2 | 0.6275 | 0.669 | 0.7543 | 0.8535 | 0.9201 | 0.972 | 1.0135 | 1.0493 | 1.0802 | 1.108 | 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-fa65b12a0fd5:53 | MLI | Mali | 52423323B51867153498623 | Highland | US | geoboundaries_adm2 | 0.6593 | 0.5971 | 0.5571 | 0.546 | 0.5433 | 0.5447 | 0.5477 | 0.552 | 0.5562 | 0.5606 | 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-fa65b12a0fd5:54 | MLI | Mali | 35621905B85647108366923 | Provincia de Punilla | CL | geoboundaries_adm2 | 0.5962 | 0.5669 | 0.5505 | 0.5488 | 0.5561 | 0.5658 | 0.5763 | 0.5863 | 0.5959 | 0.6048 | 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-fa65b12a0fd5:55 | MLI | Mali | 7082276B62736204649279 | Hato Corozal | CO | geoboundaries_adm2 | 0.798 | 0.7758 | 0.7659 | 0.7833 | 0.8088 | 0.8342 | 0.8591 | 0.881 | 0.9001 | 0.9179 | 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-fa65b12a0fd5:56 | MLI | Mali | 79465075B81292522353259 | San Martín Jilotepeque | GT | geoboundaries_adm2 | 0.6624 | 0.652 | 0.6598 | 0.6938 | 0.726 | 0.7513 | 0.7734 | 0.7927 | 0.8097 | 0.8248 | 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-fa65b12a0fd5:57 | MLI | Mali | 79315794B94447773522509 | Dolores | SV | geoboundaries_adm2 | 0.7101 | 0.694 | 0.7062 | 0.7328 | 0.7617 | 0.7807 | 0.8013 | 0.8138 | 0.8295 | 0.8392 | 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-fa65b12a0fd5:58 | MLI | Mali | 79292919B69562863296028 | Kritevci | SI | geoboundaries_adm2 | 0.5355 | 0.4908 | 0.4608 | 0.4607 | 0.4732 | 0.4826 | 0.4937 | 0.5057 | 0.5132 | 0.5234 | 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-fa65b12a0fd5:59 | MLI | Mali | 56859067B61069668278252 | Ipixuna | BR | geoboundaries_adm2 | 0.7512 | 0.7366 | 0.7481 | 0.7782 | 0.8049 | 0.8298 | 0.8479 | 0.8659 | 0.8808 | 0.8956 | 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-fa65b12a0fd5:60 | MLI | Mali | 27666195B51970998087864 | Ojos de Agua | HN | geoboundaries_adm2 | 0.7431 | 0.7482 | 0.7736 | 0.814 | 0.8609 | 0.8856 | 0.9098 | 0.9269 | 0.9405 | 0.96 | 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-fa65b12a0fd5:61 | MLI | Mali | 29444166B27439380359881 | Morbihan | FR | geoboundaries_adm2 | 0.624 | 0.6018 | 0.5851 | 0.5825 | 0.5865 | 0.5917 | 0.5967 | 0.6009 | 0.6046 | 0.6077 | 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-fa65b12a0fd5:62 | MLI | Mali | 50627088B33747024846778 | Ocuituco | MX | geoboundaries_adm2 | 0.7242 | 0.7036 | 0.7009 | 0.7282 | 0.7549 | 0.7805 | 0.8025 | 0.8217 | 0.8388 | 0.8551 | 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-fa65b12a0fd5:63 | MLI | Mali | 7082276B43275073099169 | Leticia | CO | geoboundaries_adm2 | 0.7471 | 0.7397 | 0.7568 | 0.7983 | 0.8345 | 0.866 | 0.893 | 0.9166 | 0.9377 | 0.9558 | 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-fa65b12a0fd5:64 | MLI | Mali | 7082276B84273930819596 | Moñitos | CO | geoboundaries_adm2 | 0.7925 | 0.7959 | 0.8145 | 0.8613 | 0.8979 | 0.9306 | 0.9585 | 0.983 | 1.0053 | 1.0248 | 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-fa65b12a0fd5:65 | MLI | Mali | 13655514B65471558325414 | Setor de Xitole | GW | geoboundaries_adm2 | 0.4478 | 0.4611 | 0.5005 | 0.5501 | 0.5777 | 0.5942 | 0.6066 | 0.6116 | 0.6236 | 0.6314 | 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-fa65b12a0fd5:66 | MLI | Mali | 79887680B43594264952232 | Gulistan | UZ | geoboundaries_adm2 | 0.2692 | 0.2817 | 0.3131 | 0.3502 | 0.3664 | 0.3764 | 0.3849 | 0.3904 | 0.3933 | 0.3959 | 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-fa65b12a0fd5:67 | MLI | Mali | 7082276B85908118350563 | Yarumal | CO | geoboundaries_adm2 | 0.7472 | 0.7357 | 0.7408 | 0.7722 | 0.8052 | 0.8358 | 0.8639 | 0.8896 | 0.9129 | 0.9337 | 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-fa65b12a0fd5:68 | MLI | Mali | 50627088B98422616932884 | Totontepec Villa de Morelos | MX | geoboundaries_adm2 | 0.6634 | 0.6736 | 0.6935 | 0.7303 | 0.7569 | 0.7812 | 0.7954 | 0.8134 | 0.8257 | 0.8304 | 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-fa65b12a0fd5:69 | MLI | Mali | 41942358B65689335315967 | Općina Blato | HR | geoboundaries_adm2 | 0.434 | 0.4429 | 0.4284 | 0.4493 | 0.4632 | 0.4841 | 0.5069 | 0.5163 | 0.5267 | 0.5394 | 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-fa65b12a0fd5:70 | MLI | Mali | 54988432B36565352267385 | Kargı | TR | geoboundaries_adm2 | 0.2755 | 0.233 | 0.1945 | 0.171 | 0.1625 | 0.1592 | 0.1543 | 0.1536 | 0.1518 | 0.1525 | 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-fa65b12a0fd5:71 | MLI | Mali | 2599482B5774705795524 | VIPERESTI | RO | geoboundaries_adm2 | 0.53 | 0.5094 | 0.4981 | 0.4824 | 0.4836 | 0.4955 | 0.5158 | 0.5101 | 0.5305 | 0.5374 | 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-fa65b12a0fd5:72 | MLI | Mali | 52423323B3019751705730 | Bexar | US | geoboundaries_adm2 | 0.6243 | 0.5941 | 0.5833 | 0.5883 | 0.5967 | 0.6061 | 0.6155 | 0.6245 | 0.6328 | 0.6403 | 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-fa65b12a0fd5:73 | MLI | Mali | 76128533B31246189674263 | Nagarkurnool | IN | geoboundaries_adm2 | 0.3573 | 0.3492 | 0.3457 | 0.3513 | 0.3559 | 0.3589 | 0.3611 | 0.3632 | 0.365 | 0.366 | 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-fa65b12a0fd5:74 | MLI | Mali | 52423323B61850216097396 | Leon | US | geoboundaries_adm2 | 0.6285 | 0.6019 | 0.5984 | 0.6093 | 0.6213 | 0.6329 | 0.6443 | 0.6547 | 0.6644 | 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-fa65b12a0fd5:75 | MLI | Mali | 52423323B51053623406996 | Shelby | US | geoboundaries_adm2 | 0.6046 | 0.593 | 0.6047 | 0.6292 | 0.6504 | 0.6694 | 0.6867 | 0.7024 | 0.7169 | 0.7302 | 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-fa65b12a0fd5:76 | MLI | Mali | 81297802B36566531846362 | Hoa Lu | VN | geoboundaries_adm2 | 0.5284 | 0.5008 | 0.4955 | 0.5133 | 0.5336 | 0.553 | 0.5709 | 0.5865 | 0.6004 | 0.6128 | 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-fa65b12a0fd5:77 | MLI | Mali | 85939544B56224707964526 | Molumbo | MZ | geoboundaries_adm2 | 0.5072 | 0.5093 | 0.5311 | 0.572 | 0.6059 | 0.6337 | 0.6574 | 0.6774 | 0.6946 | 0.7103 | 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-fa65b12a0fd5:78 | MLI | Mali | 96606910B94036775861358 | Nyimba | ZM | geoboundaries_adm2 | 0.6332 | 0.6279 | 0.6519 | 0.6922 | 0.7266 | 0.7544 | 0.7809 | 0.802 | 0.8229 | 0.8404 | 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-fa65b12a0fd5:79 | MLI | Mali | 15242507B40747525321849 | Kamaran | YE | geoboundaries_adm2 | 0.0899 | 0.0784 | 0.0842 | 0.0857 | 0.0887 | 0.0955 | 0.1063 | 0.0985 | 0.0893 | 0.1125 | 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-fa65b12a0fd5:80 | MLI | Mali | 2599482B25505724064349 | PALTINIS | RO | geoboundaries_adm2 | 0.5724 | 0.5507 | 0.4881 | 0.4836 | 0.4786 | 0.4887 | 0.4923 | 0.5115 | 0.5129 | 0.5124 | 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-fa65b12a0fd5:81 | MLI | Mali | 47425931B73656125122018 | Quyquyho | PY | geoboundaries_adm2 | 0.8086 | 0.7898 | 0.7632 | 0.7724 | 0.7897 | 0.8155 | 0.8276 | 0.8532 | 0.8712 | 0.8904 | 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-fa65b12a0fd5:82 | MLI | Mali | 56859067B50751334573389 | Presidente Kennedy | BR | geoboundaries_adm2 | 0.5718 | 0.5707 | 0.5731 | 0.5828 | 0.6066 | 0.6301 | 0.6507 | 0.6687 | 0.679 | 0.7027 | 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-fa65b12a0fd5:83 | MLI | Mali | 56859067B51661934602442 | Capão Bonito do Sul | BR | geoboundaries_adm2 | 0.6006 | 0.5598 | 0.5302 | 0.5164 | 0.5173 | 0.5369 | 0.5465 | 0.5445 | 0.5627 | 0.5605 | 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-fa65b12a0fd5:84 | MLI | Mali | 7082276B64319066043835 | Villa Del Rosario | CO | geoboundaries_adm2 | 0.7364 | 0.7155 | 0.7176 | 0.7404 | 0.766 | 0.7906 | 0.8131 | 0.8323 | 0.8498 | 0.8648 | 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-fa65b12a0fd5:85 | MLI | Mali | 8360857B4480682421183 | Bolivar | EC | geoboundaries_adm2 | 0.7707 | 0.7643 | 0.7801 | 0.8207 | 0.8587 | 0.8945 | 0.9263 | 0.9521 | 0.9758 | 0.9965 | 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-fa65b12a0fd5:86 | MLI | Mali | 3984122B27492717876987 | Al Badai | SA | geoboundaries_adm2 | 0.1793 | 0.1989 | 0.2152 | 0.2211 | 0.2249 | 0.2365 | 0.2366 | 0.243 | 0.2396 | 0.2394 | 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-fa65b12a0fd5:87 | MLI | Mali | 59680162B82944797684000 | Odeda | NG | geoboundaries_adm2 | 0.6396 | 0.6268 | 0.6327 | 0.6613 | 0.6872 | 0.7094 | 0.7283 | 0.745 | 0.7601 | 0.7734 | 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-fa65b12a0fd5:88 | MLI | Mali | 56859067B98534601158494 | Ribeirão Claro | BR | geoboundaries_adm2 | 0.6096 | 0.5592 | 0.525 | 0.5146 | 0.5158 | 0.5204 | 0.5263 | 0.5324 | 0.5407 | 0.547 | 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-fa65b12a0fd5:89 | MLI | Mali | 70781695B98583425778893 | Lindesberg | SE | geoboundaries_adm2 | 0.5621 | 0.5106 | 0.4676 | 0.4554 | 0.4561 | 0.4602 | 0.4666 | 0.4721 | 0.4781 | 0.483 | 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-fa65b12a0fd5:90 | MLI | Mali | 79465075B12925018589584 | Santo Domingo Xenacoj | GT | geoboundaries_adm2 | 0.6203 | 0.6082 | 0.6188 | 0.6521 | 0.6799 | 0.706 | 0.7266 | 0.7432 | 0.7584 | 0.7727 | 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-fa65b12a0fd5:91 | MLI | Mali | 56859067B26202031043792 | São Pedro das Missões | BR | geoboundaries_adm2 | 0.5642 | 0.5522 | 0.5212 | 0.5261 | 0.5313 | 0.5378 | 0.5527 | 0.5475 | 0.553 | 0.5624 | 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-fa65b12a0fd5:92 | MLI | Mali | 22064153B76094051519887 | Misaki | JP | geoboundaries_adm2 | 0.3976 | 0.3953 | 0.4263 | 0.47 | 0.4979 | 0.4991 | 0.5088 | 0.5219 | 0.5261 | 0.5195 | 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-fa65b12a0fd5:93 | MLI | Mali | 50182788B74600736318601 | Tambacounda | SN | geoboundaries_adm2 | 0.4987 | 0.5218 | 0.5832 | 0.6533 | 0.6951 | 0.7237 | 0.7442 | 0.7617 | 0.775 | 0.7866 | 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-fa65b12a0fd5:94 | MLI | Mali | 50627088B3683914427881 | Santiago Ixcuintla | MX | geoboundaries_adm2 | 0.6391 | 0.6097 | 0.5882 | 0.5899 | 0.5994 | 0.6097 | 0.6204 | 0.6306 | 0.64 | 0.6487 | 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-fa65b12a0fd5:95 | MLI | Mali | 98125504B31913850462162 | Winterthur | CH | geoboundaries_adm2 | 0.5335 | 0.5059 | 0.4924 | 0.5051 | 0.5214 | 0.5359 | 0.5481 | 0.558 | 0.5666 | 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-fa65b12a0fd5:96 | MLI | Mali | 56859067B21557901062595 | Riachão | BR | geoboundaries_adm2 | 0.6228 | 0.5955 | 0.5811 | 0.5924 | 0.6013 | 0.6098 | 0.6278 | 0.6389 | 0.6386 | 0.6447 | 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-fa65b12a0fd5:97 | MLI | Mali | 2599482B92628327794320 | MARCA | RO | geoboundaries_adm2 | 0.5655 | 0.5325 | 0.4917 | 0.4859 | 0.486 | 0.5042 | 0.5112 | 0.5147 | 0.5305 | 0.5255 | 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-fa65b12a0fd5:98 | MLI | Mali | 76128533B80299348876357 | Kanpur Dehat | IN | geoboundaries_adm2 | 0.5062 | 0.4925 | 0.4836 | 0.4869 | 0.4895 | 0.4916 | 0.4934 | 0.495 | 0.4966 | 0.4981 | 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-fa65b12a0fd5:99 | MLI | Mali | 50627088B37536515094098 | Salina Cruz | MX | geoboundaries_adm2 | 0.7071 | 0.6848 | 0.6741 | 0.6819 | 0.6946 | 0.7077 | 0.7201 | 0.7314 | 0.7421 | 0.7513 | 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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