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550c183f-7869-489a-9fe4-197350929e56:0 | MRT | Mauritania | VNM.27.21.15_1 | Thanh Đa | VN | gadm3 | 0.4618 | 0.4565 | 0.4627 | 0.4908 | 0.5172 | 0.545 | 0.554 | 0.5722 | 0.5852 | 0.5944 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:1 | MRT | Mauritania | BEN.9.1.1_1 | Atchannou | BJ | gadm3 | 0.8624 | 0.8683 | 0.9226 | 0.9793 | 1.0383 | 1.0695 | 1.0935 | 1.1248 | 1.1333 | 1.1399 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:2 | MRT | Mauritania | DEU.7.22.13_1 | Mücke | DE | gadm3 | 0.5754 | 0.5439 | 0.5318 | 0.5462 | 0.5678 | 0.583 | 0.5927 | 0.6017 | 0.6198 | 0.6239 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:3 | MRT | Mauritania | IDN.11.20.12_1 | Saradan | ID | gadm3 | 0.4957 | 0.4906 | 0.5144 | 0.571 | 0.6157 | 0.6536 | 0.6866 | 0.7156 | 0.7419 | 0.7659 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:4 | MRT | Mauritania | IDN.10.32.9_1 | Kramat | ID | gadm3 | 0.4804 | 0.4726 | 0.5048 | 0.5592 | 0.6047 | 0.6424 | 0.6744 | 0.7018 | 0.7267 | 0.7487 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:5 | MRT | Mauritania | CHE.24.2.39_1 | Payerne | CH | gadm3 | 0.5323 | 0.5016 | 0.4745 | 0.4714 | 0.48 | 0.4918 | 0.5036 | 0.5137 | 0.5199 | 0.5269 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:6 | MRT | Mauritania | IND.20.13.3_1 | Bhusawal | IN | gadm3 | 0.3343 | 0.3073 | 0.2837 | 0.2753 | 0.272 | 0.271 | 0.2711 | 0.2715 | 0.2723 | 0.2732 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:7 | MRT | Mauritania | CHL.3.1.3_1 | Cunco | CL | gadm3 | 0.6102 | 0.5819 | 0.5647 | 0.5654 | 0.5761 | 0.5866 | 0.5979 | 0.6091 | 0.6188 | 0.6287 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:8 | MRT | Mauritania | AUT.4.7.16_2 | Pasching | AT | gadm3 | 0.5848 | 0.5411 | 0.5021 | 0.5092 | 0.5124 | 0.5194 | 0.5311 | 0.5367 | 0.5531 | 0.5545 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:9 | MRT | Mauritania | LBN.5.2.15_1 | Chouit | LB | gadm3 | 0.5537 | 0.5251 | 0.4972 | 0.4694 | 0.4579 | 0.4607 | 0.466 | 0.4664 | 0.4651 | 0.4739 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:10 | MRT | Mauritania | FIN.5.8.4_1 | Northern Seinänaapuri | FI | gadm3 | 0.498 | 0.4548 | 0.4194 | 0.4105 | 0.413 | 0.4186 | 0.4249 | 0.4318 | 0.438 | 0.4436 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:11 | MRT | Mauritania | ITA.11.3.2_1 | Amandola | IT | gadm3 | 0.5047 | 0.4718 | 0.4691 | 0.4706 | 0.4813 | 0.4901 | 0.5057 | 0.5146 | 0.5323 | 0.535 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:12 | MRT | Mauritania | PHL.13.2.35_1 | Dizon Subdivision | PH | gadm3 | 0.63 | 0.5881 | 0.5829 | 0.6125 | 0.6278 | 0.6383 | 0.6568 | 0.6756 | 0.6879 | 0.6972 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:13 | MRT | Mauritania | ETH.8.16.4_1 | Gida Ayana | ET | gadm3 | 0.6797 | 0.71 | 0.7751 | 0.8556 | 0.9091 | 0.9479 | 0.9778 | 1.0014 | 1.0206 | 1.0374 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:14 | MRT | Mauritania | BGD.5.3.3_1 | Dhamoirhat | BD | gadm3 | 0.5441 | 0.538 | 0.5487 | 0.579 | 0.5996 | 0.6138 | 0.625 | 0.6342 | 0.6421 | 0.6485 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:15 | MRT | Mauritania | IDN.9.1.12_1 | Padalarang | ID | gadm3 | 0.5066 | 0.5103 | 0.5538 | 0.6244 | 0.6778 | 0.7211 | 0.7579 | 0.7896 | 0.8185 | 0.8439 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:16 | MRT | Mauritania | IDN.9.25.9_1 | Ganeas | ID | gadm3 | 0.4632 | 0.4627 | 0.5014 | 0.5583 | 0.604 | 0.6424 | 0.6735 | 0.7003 | 0.7228 | 0.7464 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:17 | MRT | Mauritania | IDN.11.9.16_1 | Peterongan | ID | gadm3 | 0.4339 | 0.4317 | 0.4616 | 0.517 | 0.5607 | 0.5974 | 0.6283 | 0.6549 | 0.6786 | 0.6995 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:18 | MRT | Mauritania | AUT.6.2.5_2 | Lannach | AT | gadm3 | 0.5967 | 0.5692 | 0.5403 | 0.5511 | 0.5639 | 0.5755 | 0.5867 | 0.5998 | 0.6141 | 0.6214 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:19 | MRT | Mauritania | ITA.15.6.58_1 | Piana Degli Albanesi | IT | gadm3 | 0.5405 | 0.5058 | 0.4809 | 0.4692 | 0.4702 | 0.4685 | 0.4753 | 0.4757 | 0.4859 | 0.4908 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:20 | MRT | Mauritania | VNM.37.5.6_1 | Hà Đông | VN | gadm3 | 0.5356 | 0.5152 | 0.502 | 0.5184 | 0.5425 | 0.5575 | 0.5864 | 0.5973 | 0.6082 | 0.6234 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:21 | MRT | Mauritania | PHL.81.7.12_1 | Poblacion | PH | gadm3 | 0.7261 | 0.7077 | 0.7164 | 0.7469 | 0.7722 | 0.7933 | 0.8116 | 0.8284 | 0.8427 | 0.8568 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:22 | MRT | Mauritania | IND.34.2.4_1 | Khair | IN | gadm3 | 0.469 | 0.4542 | 0.4455 | 0.4478 | 0.4492 | 0.4509 | 0.4528 | 0.4543 | 0.4558 | 0.4574 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:23 | MRT | Mauritania | ITA.16.3.4_1 | Castel Del Piano | IT | gadm3 | 0.5765 | 0.5357 | 0.512 | 0.5157 | 0.5147 | 0.5238 | 0.5391 | 0.5463 | 0.5547 | 0.5687 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:24 | MRT | Mauritania | THA.10.7.8_1 | Nong Khwai | TH | gadm3 | 0.5518 | 0.5238 | 0.527 | 0.5518 | 0.5776 | 0.5983 | 0.6123 | 0.6297 | 0.6403 | 0.6533 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:25 | MRT | Mauritania | IND.29.14.3_1 | Sagwara | IN | gadm3 | 0.4439 | 0.4286 | 0.4259 | 0.432 | 0.4362 | 0.4396 | 0.4419 | 0.4451 | 0.4477 | 0.4506 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:26 | MRT | Mauritania | POL.7.6.3_1 | Chynów | PL | gadm3 | 0.5322 | 0.5162 | 0.5117 | 0.5254 | 0.5416 | 0.5577 | 0.567 | 0.5783 | 0.5891 | 0.595 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:27 | MRT | Mauritania | PHL.18.13.18_1 | Centro Sur | PH | gadm3 | 0.6269 | 0.597 | 0.5877 | 0.6052 | 0.6082 | 0.6215 | 0.6474 | 0.6583 | 0.6656 | 0.6842 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:28 | MRT | Mauritania | CHE.16.7.5_1 | Sevelen | CH | gadm3 | 0.4799 | 0.4472 | 0.4334 | 0.4349 | 0.4588 | 0.4701 | 0.4942 | 0.4972 | 0.5033 | 0.5114 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:29 | MRT | Mauritania | DEU.7.21.12_1 | Knüllwald | DE | gadm3 | 0.6282 | 0.5878 | 0.5698 | 0.5826 | 0.5935 | 0.6053 | 0.6082 | 0.6118 | 0.6267 | 0.6472 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:30 | MRT | Mauritania | IDN.11.29.4_1 | Bungkal | ID | gadm3 | 0.4674 | 0.4627 | 0.4975 | 0.5495 | 0.5904 | 0.6248 | 0.6538 | 0.6802 | 0.7028 | 0.7219 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:31 | MRT | Mauritania | VNM.12.5.2_1 | Long Hưng | VN | gadm3 | 0.6052 | 0.5913 | 0.6017 | 0.6287 | 0.6603 | 0.6834 | 0.7031 | 0.7168 | 0.7333 | 0.7439 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:32 | MRT | Mauritania | VNM.29.3.25_1 | Trường Sơn | VN | gadm3 | 0.587 | 0.542 | 0.5272 | 0.5302 | 0.5445 | 0.5597 | 0.5771 | 0.5854 | 0.5969 | 0.6043 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:33 | MRT | Mauritania | PHL.20.29.14_1 | San Antonio | PH | gadm3 | 0.7213 | 0.6992 | 0.7028 | 0.7381 | 0.7674 | 0.7935 | 0.8151 | 0.8346 | 0.8517 | 0.8671 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:34 | MRT | Mauritania | VNM.18.12.12_1 | Thanh Mỹ | VN | gadm3 | 0.6213 | 0.596 | 0.6009 | 0.6271 | 0.6574 | 0.6743 | 0.6924 | 0.7076 | 0.722 | 0.7308 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:35 | MRT | Mauritania | PHL.43.31.8_1 | Campetik | PH | gadm3 | 0.6428 | 0.6186 | 0.6245 | 0.6478 | 0.6798 | 0.6978 | 0.7235 | 0.7308 | 0.7454 | 0.76 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:36 | MRT | Mauritania | PRT.14.8.2_1 | Fronteira | PT | gadm3 | 0.5255 | 0.4706 | 0.4443 | 0.4381 | 0.4427 | 0.449 | 0.4598 | 0.4702 | 0.4835 | 0.4889 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:37 | MRT | Mauritania | KOR.16.21.14_2 | Songjeong | KR | gadm3 | 0.3093 | 0.3288 | 0.3682 | 0.4065 | 0.4327 | 0.4463 | 0.458 | 0.4649 | 0.466 | 0.4778 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:38 | MRT | Mauritania | VNM.49.1.8_1 | Thanh Sơn | VN | gadm3 | 0.3659 | 0.3519 | 0.3609 | 0.3997 | 0.419 | 0.4437 | 0.456 | 0.4825 | 0.4957 | 0.5065 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:39 | MRT | Mauritania | VNM.63.6.7_1 | Gia Hội | VN | gadm3 | 0.5858 | 0.5681 | 0.5986 | 0.6543 | 0.6993 | 0.7329 | 0.7629 | 0.7881 | 0.8132 | 0.8315 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:40 | MRT | Mauritania | VNM.13.3.4_1 | Quách Phẩm | VN | gadm3 | 0.6671 | 0.675 | 0.6943 | 0.7352 | 0.7676 | 0.7933 | 0.8104 | 0.8238 | 0.837 | 0.8488 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:41 | MRT | Mauritania | THA.22.6.7_1 | Kok Ko | TH | gadm3 | 0.5858 | 0.5541 | 0.5607 | 0.5845 | 0.609 | 0.628 | 0.645 | 0.6572 | 0.6742 | 0.6843 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:42 | MRT | Mauritania | KEN.22.2.1_1 | Kathiani Central | KE | gadm3 | 0.7408 | 0.7498 | 0.776 | 0.821 | 0.8547 | 0.8799 | 0.9028 | 0.9217 | 0.9376 | 0.9524 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:43 | MRT | Mauritania | PAN.5.1.10_1 | Río Congo Arriba | PA | gadm3 | 0.9058 | 0.9325 | 0.9477 | 1.0098 | 1.0652 | 1.1072 | 1.1392 | 1.1732 | 1.1979 | 1.2247 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:44 | MRT | Mauritania | VNM.41.20.8_1 | Hưng Chính | VN | gadm3 | 0.5623 | 0.5245 | 0.5105 | 0.5242 | 0.5402 | 0.5543 | 0.5661 | 0.5769 | 0.5897 | 0.5986 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:45 | MRT | Mauritania | PHL.27.6.18_1 | Maduao | PH | gadm3 | 0.6303 | 0.6096 | 0.6165 | 0.6332 | 0.6662 | 0.6835 | 0.6959 | 0.7156 | 0.7227 | 0.7386 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:46 | MRT | Mauritania | VNM.29.12.3_1 | Ngọc Sơn | VN | gadm3 | 0.5823 | 0.5397 | 0.5174 | 0.5301 | 0.5558 | 0.5828 | 0.5913 | 0.6091 | 0.6209 | 0.638 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:47 | MRT | Mauritania | FIN.5.3.4_1 | Turku | FI | gadm3 | 0.5028 | 0.4687 | 0.4474 | 0.4484 | 0.4557 | 0.4644 | 0.473 | 0.4807 | 0.4874 | 0.4931 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:48 | MRT | Mauritania | ECU.21.2.2_1 | El Esfuerzo | EC | gadm3 | 0.8023 | 0.7917 | 0.779 | 0.806 | 0.8328 | 0.8551 | 0.8778 | 0.891 | 0.905 | 0.9248 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:49 | MRT | Mauritania | ITA.13.4.212_1 | Santa Vittoria d' Alba | IT | gadm3 | 0.5865 | 0.546 | 0.5109 | 0.4969 | 0.512 | 0.5254 | 0.5416 | 0.5498 | 0.5681 | 0.5725 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:50 | MRT | Mauritania | CAN.3.8.1_1 | Alonsa | CA | gadm3 | 0.5969 | 0.5742 | 0.5513 | 0.541 | 0.5559 | 0.5629 | 0.566 | 0.5722 | 0.5752 | 0.5883 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:51 | MRT | Mauritania | VNM.22.8.5_1 | Đồng Lạc | VN | gadm3 | 0.5708 | 0.5403 | 0.5398 | 0.5631 | 0.5799 | 0.6072 | 0.6329 | 0.6416 | 0.6664 | 0.6675 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:52 | MRT | Mauritania | PER.13.8.13_1 | Urpay | PE | gadm3 | 0.7922 | 0.8158 | 0.852 | 0.9238 | 0.9637 | 1.0127 | 1.0534 | 1.0794 | 1.1071 | 1.1322 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:53 | MRT | Mauritania | DEU.11.21.2_1 | Bendorf | DE | gadm3 | 0.567 | 0.529 | 0.5092 | 0.5142 | 0.5261 | 0.5365 | 0.5477 | 0.5571 | 0.5632 | 0.572 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:54 | MRT | Mauritania | BGD.2.2.3_1 | Banchharampur | BD | gadm3 | 0.4298 | 0.4344 | 0.457 | 0.4902 | 0.5101 | 0.5239 | 0.5351 | 0.5443 | 0.5522 | 0.5592 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:55 | MRT | Mauritania | PRT.1.4.9_1 | Escariz | PT | gadm3 | 0.5817 | 0.5536 | 0.4895 | 0.477 | 0.4771 | 0.4851 | 0.4874 | 0.4876 | 0.5007 | 0.5024 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:56 | MRT | Mauritania | PHL.17.24.7_1 | Cay Pombo | PH | gadm3 | 0.6322 | 0.5997 | 0.5895 | 0.6135 | 0.6309 | 0.6466 | 0.6615 | 0.6784 | 0.6895 | 0.7043 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:57 | MRT | Mauritania | DEU.2.44.11_1 | Mainburg | DE | gadm3 | 0.5298 | 0.5098 | 0.4971 | 0.5021 | 0.5147 | 0.523 | 0.5343 | 0.5429 | 0.5501 | 0.5587 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:58 | MRT | Mauritania | VNM.57.9.2_1 | Mường Lát | VN | gadm3 | 0.4932 | 0.459 | 0.4555 | 0.476 | 0.5002 | 0.5212 | 0.539 | 0.554 | 0.5695 | 0.5837 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:59 | MRT | Mauritania | IDN.10.2.2_1 | Banyumas | ID | gadm3 | 0.4313 | 0.4295 | 0.463 | 0.5202 | 0.5662 | 0.604 | 0.6366 | 0.6654 | 0.6906 | 0.7133 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:60 | MRT | Mauritania | PHL.53.7.1_1 | Aringay | PH | gadm3 | 0.5838 | 0.5796 | 0.5998 | 0.6582 | 0.6712 | 0.6959 | 0.7321 | 0.7442 | 0.7648 | 0.794 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:61 | MRT | Mauritania | ITA.5.3.12_1 | Cancello Ed Arnone | IT | gadm3 | 0.5106 | 0.4716 | 0.4292 | 0.4158 | 0.4135 | 0.414 | 0.4198 | 0.4254 | 0.4317 | 0.4388 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:62 | MRT | Mauritania | POL.4.13.4_1 | Garbów | PL | gadm3 | 0.5074 | 0.4846 | 0.4731 | 0.4894 | 0.5066 | 0.521 | 0.5341 | 0.5451 | 0.5543 | 0.5612 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:63 | MRT | Mauritania | VNM.60.1.24_1 | Xuân Quang | VN | gadm3 | 0.5059 | 0.4863 | 0.4809 | 0.5005 | 0.5211 | 0.5482 | 0.5643 | 0.5765 | 0.5887 | 0.6073 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:64 | MRT | Mauritania | FRA.7.3.1_1 | Beauvais | FR | gadm3 | 0.6488 | 0.6134 | 0.5813 | 0.5703 | 0.5696 | 0.5719 | 0.5748 | 0.5781 | 0.5809 | 0.5833 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:65 | MRT | Mauritania | PHL.34.21.12_1 | San Juan Bautista | PH | gadm3 | 0.6283 | 0.5872 | 0.5691 | 0.5819 | 0.5947 | 0.6198 | 0.6245 | 0.6384 | 0.6511 | 0.6577 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:66 | MRT | Mauritania | ECU.19.6.11_1 | Gualea | EC | gadm3 | 0.7861 | 0.7648 | 0.7903 | 0.8269 | 0.8598 | 0.8888 | 0.9131 | 0.9331 | 0.9534 | 0.9745 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:67 | MRT | Mauritania | PRT.7.8.3_1 | Praia De Mira | PT | gadm3 | 0.5536 | 0.5086 | 0.4699 | 0.4672 | 0.4741 | 0.4865 | 0.4947 | 0.5026 | 0.5125 | 0.5233 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:68 | MRT | Mauritania | THA.6.4.4_1 | Bang Samak | TH | gadm3 | 0.6004 | 0.5398 | 0.5192 | 0.5314 | 0.5486 | 0.566 | 0.5831 | 0.5986 | 0.6129 | 0.6274 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:69 | MRT | Mauritania | AUT.3.19.17_2 | Sitzenberg-Reidling | AT | gadm3 | 0.5928 | 0.5654 | 0.5425 | 0.5528 | 0.565 | 0.5742 | 0.5958 | 0.6138 | 0.6225 | 0.618 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:70 | MRT | Mauritania | PHL.80.29.93_1 | Tumaga | PH | gadm3 | 0.6398 | 0.613 | 0.6162 | 0.6464 | 0.6737 | 0.6946 | 0.7143 | 0.7307 | 0.7504 | 0.7621 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:71 | MRT | Mauritania | VNM.29.8.9_1 | Kỳ Phương | VN | gadm3 | 0.5276 | 0.4929 | 0.4738 | 0.488 | 0.5023 | 0.5164 | 0.524 | 0.5349 | 0.5483 | 0.5659 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:72 | MRT | Mauritania | VNM.52.3.3_1 | Chiềng Chung | VN | gadm3 | 0.4041 | 0.3925 | 0.4044 | 0.4471 | 0.4867 | 0.5125 | 0.5407 | 0.5629 | 0.5824 | 0.602 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:73 | MRT | Mauritania | POL.15.13.4_1 | Krzywiń | PL | gadm3 | 0.5249 | 0.5088 | 0.4962 | 0.5085 | 0.5221 | 0.5362 | 0.548 | 0.5564 | 0.567 | 0.5766 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:74 | MRT | Mauritania | KEN.4.7.4_1 | Ang'Orom | KE | gadm3 | 0.7337 | 0.7115 | 0.7175 | 0.7265 | 0.7417 | 0.7524 | 0.7618 | 0.7685 | 0.7806 | 0.7916 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:75 | MRT | Mauritania | PER.10.2.6_1 | Ripan | PE | gadm3 | 0.8459 | 0.8533 | 0.8975 | 0.9676 | 1.0293 | 1.0808 | 1.1242 | 1.1616 | 1.1964 | 1.2241 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:76 | MRT | Mauritania | THA.44.6.2_1 | Noen Sawang | TH | gadm3 | 0.613 | 0.5967 | 0.604 | 0.6347 | 0.6572 | 0.6711 | 0.6875 | 0.6998 | 0.713 | 0.7269 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:77 | MRT | Mauritania | ITA.20.4.21_1 | Conegliano | IT | gadm3 | 0.5415 | 0.5175 | 0.5076 | 0.519 | 0.5331 | 0.5482 | 0.5649 | 0.5784 | 0.5909 | 0.6029 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:78 | MRT | Mauritania | PHL.71.3.14_1 | Labrador | PH | gadm3 | 0.6394 | 0.6147 | 0.629 | 0.6571 | 0.6676 | 0.7093 | 0.7085 | 0.7201 | 0.7276 | 0.7396 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:79 | MRT | Mauritania | THA.38.5.11_1 | Trang | TH | gadm3 | 0.4996 | 0.4719 | 0.4583 | 0.474 | 0.4932 | 0.5078 | 0.5261 | 0.5411 | 0.5505 | 0.565 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:80 | MRT | Mauritania | IND.2.11.1_1 | Bobbili | IN | gadm3 | 0.3763 | 0.3709 | 0.3671 | 0.3711 | 0.3712 | 0.3732 | 0.3755 | 0.3756 | 0.3779 | 0.378 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:81 | MRT | Mauritania | DEU.16.17.7_1 | Kölleda | DE | gadm3 | 0.6175 | 0.6014 | 0.5869 | 0.6064 | 0.6196 | 0.6311 | 0.6438 | 0.6565 | 0.6685 | 0.6784 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:82 | MRT | Mauritania | CAN.7.11.7_1 | Kings, Subd. C | CA | gadm3 | 0.6352 | 0.5767 | 0.5501 | 0.5473 | 0.5491 | 0.5511 | 0.5546 | 0.5592 | 0.5632 | 0.5688 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:83 | MRT | Mauritania | ITA.10.8.106_1 | San Vittore Olona | IT | gadm3 | 0.559 | 0.5349 | 0.5235 | 0.5266 | 0.5371 | 0.5487 | 0.5597 | 0.5713 | 0.5787 | 0.5895 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:84 | MRT | Mauritania | DEU.2.41.4_1 | Feilitzsch | DE | gadm3 | 0.5707 | 0.5308 | 0.5231 | 0.5408 | 0.5466 | 0.5603 | 0.5721 | 0.5798 | 0.5928 | 0.5993 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:85 | MRT | Mauritania | PHL.80.18.12_1 | Danlugan | PH | gadm3 | 0.7279 | 0.7028 | 0.7178 | 0.7485 | 0.7777 | 0.8019 | 0.8209 | 0.835 | 0.8505 | 0.8666 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:86 | MRT | Mauritania | ITA.10.11.32_1 | Gordona | IT | gadm3 | 0.5264 | 0.5125 | 0.5044 | 0.5172 | 0.5385 | 0.5513 | 0.5621 | 0.5822 | 0.5872 | 0.6011 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:87 | MRT | Mauritania | DEU.2.65.16_1 | Pressath | DE | gadm3 | 0.5925 | 0.5689 | 0.5566 | 0.5626 | 0.579 | 0.5869 | 0.5908 | 0.6103 | 0.6175 | 0.6271 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:88 | MRT | Mauritania | PHL.1.1.21_1 | Santa Rosa | PH | gadm3 | 0.6148 | 0.5754 | 0.5588 | 0.572 | 0.5883 | 0.6018 | 0.6154 | 0.6282 | 0.6408 | 0.6523 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:89 | MRT | Mauritania | DEU.1.34.14_1 | Trochtelfingen | DE | gadm3 | 0.5871 | 0.5499 | 0.5432 | 0.5538 | 0.5735 | 0.5805 | 0.594 | 0.6007 | 0.6156 | 0.6273 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:90 | MRT | Mauritania | PRT.8.5.2_1 | Canaviais | PT | gadm3 | 0.5227 | 0.5083 | 0.4662 | 0.4581 | 0.4527 | 0.4672 | 0.4702 | 0.4723 | 0.4771 | 0.4817 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:91 | MRT | Mauritania | POL.1.18.4_1 | Polkowice | PL | gadm3 | 0.5158 | 0.4828 | 0.4627 | 0.4663 | 0.475 | 0.4849 | 0.4936 | 0.5023 | 0.5104 | 0.5172 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:92 | MRT | Mauritania | VNM.12.7.1_1 | Tân Hưng | VN | gadm3 | 0.6145 | 0.5952 | 0.6086 | 0.6395 | 0.6669 | 0.6864 | 0.7053 | 0.7232 | 0.7346 | 0.7457 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:93 | MRT | Mauritania | VNM.8.1.4_1 | An Lão | VN | gadm3 | 0.4735 | 0.4659 | 0.4555 | 0.4789 | 0.4985 | 0.5176 | 0.5325 | 0.5467 | 0.5601 | 0.571 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:94 | MRT | Mauritania | PHL.37.26.9_1 | Masigun | PH | gadm3 | 0.6316 | 0.5961 | 0.5879 | 0.6055 | 0.6224 | 0.6367 | 0.6499 | 0.6624 | 0.6743 | 0.6851 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:95 | MRT | Mauritania | POL.6.1.6_1 | Nowy Wiśnicz | PL | gadm3 | 0.5137 | 0.4917 | 0.4768 | 0.4883 | 0.5015 | 0.5151 | 0.5265 | 0.5373 | 0.5473 | 0.5572 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:96 | MRT | Mauritania | PHL.51.23.4_1 | Bulanon | PH | gadm3 | 0.6766 | 0.6569 | 0.6732 | 0.7005 | 0.7308 | 0.7337 | 0.7718 | 0.7914 | 0.7936 | 0.8047 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:97 | MRT | Mauritania | PHL.44.26.2_1 | Campo Islam | PH | gadm3 | 0.6111 | 0.6071 | 0.6177 | 0.6601 | 0.686 | 0.7114 | 0.7309 | 0.7505 | 0.768 | 0.7819 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:98 | MRT | Mauritania | IDN.11.32.6_1 | Krembung | ID | gadm3 | 0.4563 | 0.4489 | 0.4842 | 0.5423 | 0.5912 | 0.6297 | 0.663 | 0.6925 | 0.7172 | 0.7404 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
550c183f-7869-489a-9fe4-197350929e56:99 | MRT | Mauritania | DEU.7.7.12_1 | Rüsselsheim | DE | gadm3 | 0.49 | 0.4553 | 0.4362 | 0.4434 | 0.4536 | 0.464 | 0.4733 | 0.4805 | 0.4872 | 0.4929 | 2,025 | 2,026 | 2025-2026 | AI for Good at Meta | Cross Gender Ties | gadm3_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | 550c183f-7869-489a-9fe4-197350929e56 | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/550c183f-7869-489a-9fe4-197350929e56/download/gadm3_cgfr.csv | cc-by | 2026-08-18T00:06:00Z |
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