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550c183f-7869-489a-9fe4-197350929e56:58900 | MRT | Mauritania | PAK.7.5.3_1 | Nankana Sahib | PK | gadm3 | 0.1866 | 0.1867 | 0.1917 | 0.2029 | 0.2115 | 0.2181 | 0.2234 | 0.2276 | 0.2312 | 0.2345 | 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-9fe4-197350929e56:58901 | MRT | Mauritania | DEU.16.7.12_1 | Weida | DE | gadm3 | 0.6282 | 0.614 | 0.6111 | 0.6345 | 0.6496 | 0.6644 | 0.682 | 0.703 | 0.7003 | 0.7104 | 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-9fe4-197350929e56:58902 | MRT | Mauritania | THA.62.4.3_1 | Nong Ma | TH | gadm3 | 0.5639 | 0.544 | 0.555 | 0.6037 | 0.6373 | 0.6547 | 0.665 | 0.7026 | 0.7165 | 0.7412 | 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-9fe4-197350929e56:58903 | MRT | Mauritania | PHL.32.3.10_1 | Lucmayan | PH | gadm3 | 0.7107 | 0.6609 | 0.645 | 0.6949 | 0.7058 | 0.7329 | 0.758 | 0.7691 | 0.7996 | 0.7806 | 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-9fe4-197350929e56:58904 | MRT | Mauritania | THA.6.1.4_1 | Don Sai | TH | gadm3 | 0.5717 | 0.5213 | 0.5053 | 0.5132 | 0.5318 | 0.5485 | 0.5631 | 0.5763 | 0.5929 | 0.6041 | 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-9fe4-197350929e56:58905 | MRT | Mauritania | UGA.55.4.7_1 | Tubur | UG | gadm3 | 0.6353 | 0.6631 | 0.7314 | 0.8255 | 0.8884 | 0.9372 | 0.9758 | 1.009 | 1.0392 | 1.0665 | 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-9fe4-197350929e56:58906 | MRT | Mauritania | PHL.74.11.1_1 | Bunyasan | PH | gadm3 | 0.6713 | 0.6349 | 0.6277 | 0.6475 | 0.6668 | 0.6818 | 0.6985 | 0.712 | 0.7238 | 0.736 | 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-9fe4-197350929e56:58907 | MRT | Mauritania | IDN.28.5.3_1 | Kadia | ID | gadm3 | 0.5076 | 0.4981 | 0.524 | 0.5692 | 0.6096 | 0.6448 | 0.675 | 0.7019 | 0.7268 | 0.7497 | 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-9fe4-197350929e56:58908 | MRT | Mauritania | VNM.62.6.13_1 | Vân Hội | VN | gadm3 | 0.4656 | 0.4552 | 0.4684 | 0.4959 | 0.5243 | 0.5378 | 0.557 | 0.5641 | 0.5863 | 0.5888 | 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-9fe4-197350929e56:58909 | MRT | Mauritania | BGD.3.1.28_1 | Motijheel | BD | gadm3 | 0.4882 | 0.4879 | 0.5025 | 0.5306 | 0.5505 | 0.565 | 0.5765 | 0.5864 | 0.5946 | 0.6018 | 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-9fe4-197350929e56:58910 | MRT | Mauritania | GBR.1.25.7_1 | North East Derbyshire | GB | gadm3 | 0.6075 | 0.5575 | 0.5213 | 0.5151 | 0.5194 | 0.5263 | 0.5344 | 0.5424 | 0.5497 | 0.5569 | 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-9fe4-197350929e56:58911 | MRT | Mauritania | POL.4.24.1_1 | Adamów | PL | gadm3 | 0.5264 | 0.48 | 0.4863 | 0.504 | 0.5306 | 0.5468 | 0.5595 | 0.5692 | 0.579 | 0.5848 | 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-9fe4-197350929e56:58912 | MRT | Mauritania | DEU.12.4.5_1 | Nalbach | DE | gadm3 | 0.6054 | 0.5498 | 0.5355 | 0.5408 | 0.5574 | 0.5672 | 0.573 | 0.5883 | 0.5983 | 0.6072 | 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-9fe4-197350929e56:58913 | MRT | Mauritania | BIH.2.7.3_1 | Doboj East | BA | gadm3 | 0.4606 | 0.3954 | 0.3397 | 0.3128 | 0.3035 | 0.301 | 0.3006 | 0.3018 | 0.3029 | 0.3046 | 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-9fe4-197350929e56:58914 | MRT | Mauritania | POL.8.11.2_1 | Głogówek | PL | gadm3 | 0.4968 | 0.4811 | 0.4725 | 0.4875 | 0.5043 | 0.5195 | 0.5305 | 0.5433 | 0.5526 | 0.5652 | 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-9fe4-197350929e56:58915 | MRT | Mauritania | PHL.4.16.5_1 | Bulwang | PH | gadm3 | 0.6357 | 0.6023 | 0.5905 | 0.6088 | 0.6273 | 0.6481 | 0.6597 | 0.6744 | 0.6915 | 0.6994 | 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-9fe4-197350929e56:58916 | MRT | Mauritania | ITA.16.5.34_1 | Villa Basilica | IT | gadm3 | 0.5368 | 0.5086 | 0.4971 | 0.5068 | 0.5227 | 0.5353 | 0.5428 | 0.5509 | 0.562 | 0.5717 | 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-9fe4-197350929e56:58917 | MRT | Mauritania | ITA.6.7.6_1 | Castel Bolognese | IT | gadm3 | 0.5429 | 0.5147 | 0.4952 | 0.4995 | 0.5057 | 0.5209 | 0.5319 | 0.5456 | 0.5541 | 0.5636 | 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-9fe4-197350929e56:58918 | MRT | Mauritania | VNM.27.10.4_1 | Đa Tốn | VN | gadm3 | 0.5182 | 0.499 | 0.5083 | 0.5371 | 0.5618 | 0.5827 | 0.6011 | 0.6171 | 0.6312 | 0.6441 | 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-9fe4-197350929e56:58919 | MRT | Mauritania | HTI.8.5.6_1 | Port-au-Prince | HT | gadm3 | 0.808 | 0.8198 | 0.8755 | 0.9636 | 1.0268 | 1.0755 | 1.1155 | 1.1493 | 1.1789 | 1.2051 | 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-9fe4-197350929e56:58920 | MRT | Mauritania | PHL.61.45.19_1 | Caurdanetaan | PH | gadm3 | 0.647 | 0.61 | 0.6 | 0.6155 | 0.6377 | 0.6544 | 0.6698 | 0.6832 | 0.6959 | 0.7065 | 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-9fe4-197350929e56:58921 | MRT | Mauritania | IDN.19.8.2_1 | Kei Besar Utara Timur | ID | gadm3 | 0.6591 | 0.6625 | 0.7015 | 0.7619 | 0.8096 | 0.8488 | 0.884 | 0.9136 | 0.9414 | 0.9665 | 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-9fe4-197350929e56:58922 | MRT | Mauritania | IND.29.1.2_1 | Beawar | IN | gadm3 | 0.3715 | 0.3479 | 0.3308 | 0.3246 | 0.322 | 0.3208 | 0.3207 | 0.3211 | 0.3214 | 0.3221 | 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-9fe4-197350929e56:58923 | MRT | Mauritania | CAN.2.21.19_1 | Penticton | CA | gadm3 | 0.6065 | 0.5641 | 0.5515 | 0.5583 | 0.5654 | 0.5726 | 0.5812 | 0.5883 | 0.5955 | 0.6005 | 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-9fe4-197350929e56:58924 | MRT | Mauritania | BIH.2.7.12_1 | Tuzla | BA | gadm3 | 0.4745 | 0.4304 | 0.3944 | 0.3811 | 0.3799 | 0.3825 | 0.3863 | 0.3904 | 0.3947 | 0.3989 | 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-9fe4-197350929e56:58925 | MRT | Mauritania | VNM.40.2.28_1 | Hải Thanh | VN | gadm3 | 0.4894 | 0.4536 | 0.4534 | 0.4693 | 0.494 | 0.509 | 0.5281 | 0.5415 | 0.5543 | 0.5678 | 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-9fe4-197350929e56:58926 | MRT | Mauritania | ITA.6.6.7_1 | Cadeo | IT | gadm3 | 0.4798 | 0.4607 | 0.4543 | 0.464 | 0.4763 | 0.4868 | 0.5022 | 0.5154 | 0.5235 | 0.5339 | 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-9fe4-197350929e56:58927 | MRT | Mauritania | TZA.1.1.1_1 | Baraa | TZ | gadm3 | 0.6107 | 0.6118 | 0.6704 | 0.7073 | 0.7476 | 0.7653 | 0.7883 | 0.807 | 0.8328 | 0.8322 | 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-9fe4-197350929e56:58928 | MRT | Mauritania | CAN.2.6.15_1 | Kaslo | CA | gadm3 | 0.6375 | 0.5746 | 0.5594 | 0.5628 | 0.5872 | 0.5919 | 0.6054 | 0.6073 | 0.6168 | 0.6253 | 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-9fe4-197350929e56:58929 | MRT | Mauritania | PHL.15.44.11_1 | Poblacion | PH | gadm3 | 0.6221 | 0.5873 | 0.5814 | 0.6046 | 0.6271 | 0.6449 | 0.662 | 0.6777 | 0.6919 | 0.7054 | 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-9fe4-197350929e56:58930 | MRT | Mauritania | PRT.7.3.6_1 | Assafarge | PT | gadm3 | 0.5795 | 0.5312 | 0.5088 | 0.4884 | 0.5101 | 0.5199 | 0.524 | 0.5251 | 0.5363 | 0.5341 | 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-9fe4-197350929e56:58931 | MRT | Mauritania | ITA.5.4.86_1 | Torre Del Greco | IT | gadm3 | 0.5857 | 0.5433 | 0.4932 | 0.4632 | 0.4546 | 0.4533 | 0.4558 | 0.4599 | 0.4645 | 0.4696 | 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-9fe4-197350929e56:58932 | MRT | Mauritania | PHL.71.2.34_1 | Santa Cruz | PH | gadm3 | 0.5902 | 0.5772 | 0.6039 | 0.634 | 0.6532 | 0.6827 | 0.707 | 0.7203 | 0.7331 | 0.7565 | 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-9fe4-197350929e56:58933 | MRT | Mauritania | POL.11.10.4_1 | Nowa Wieś Lęborska | PL | gadm3 | 0.5655 | 0.5409 | 0.5122 | 0.5153 | 0.5231 | 0.5343 | 0.5438 | 0.5533 | 0.5628 | 0.57 | 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-9fe4-197350929e56:58934 | MRT | Mauritania | DEU.2.73.15_1 | Prackenbach | DE | gadm3 | 0.5592 | 0.5196 | 0.5132 | 0.5221 | 0.5494 | 0.5582 | 0.5659 | 0.5766 | 0.5831 | 0.6047 | 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-9fe4-197350929e56:58935 | MRT | Mauritania | DEU.9.11.1_1 | Bockhorn | DE | gadm3 | 0.6494 | 0.5895 | 0.5634 | 0.5673 | 0.5764 | 0.5887 | 0.5958 | 0.6094 | 0.6193 | 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-9fe4-197350929e56:58936 | MRT | Mauritania | POL.13.12.5_1 | Wąchock | PL | gadm3 | 0.5492 | 0.5019 | 0.5094 | 0.5279 | 0.5368 | 0.5533 | 0.5648 | 0.5739 | 0.5865 | 0.5931 | 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-9fe4-197350929e56:58937 | MRT | Mauritania | IND.29.33.8_1 | Udaipur | IN | gadm3 | 0.3521 | 0.3291 | 0.3128 | 0.307 | 0.305 | 0.3047 | 0.3054 | 0.3064 | 0.3077 | 0.3091 | 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-9fe4-197350929e56:58938 | MRT | Mauritania | VNM.15.9.6_1 | Hòa Lễ | VN | gadm3 | 0.5351 | 0.499 | 0.4882 | 0.505 | 0.5302 | 0.5532 | 0.5701 | 0.5905 | 0.6092 | 0.6189 | 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-9fe4-197350929e56:58939 | MRT | Mauritania | IDN.33.1.8_1 | Kretek | ID | gadm3 | 0.4535 | 0.4428 | 0.4631 | 0.5142 | 0.5564 | 0.5878 | 0.6228 | 0.6523 | 0.6757 | 0.6983 | 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-9fe4-197350929e56:58940 | MRT | Mauritania | CAN.4.2.7_1 | Hartland | CA | gadm3 | 0.6139 | 0.548 | 0.5026 | 0.4992 | 0.5002 | 0.501 | 0.5059 | 0.5117 | 0.5165 | 0.5248 | 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-9fe4-197350929e56:58941 | MRT | Mauritania | CHE.3.1.1_1 | Appenzell | CH | gadm3 | 0.5117 | 0.489 | 0.4799 | 0.5 | 0.5232 | 0.5405 | 0.5527 | 0.5671 | 0.581 | 0.5905 | 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-9fe4-197350929e56:58942 | MRT | Mauritania | VNM.62.4.4_1 | Đồng Thịnh | VN | gadm3 | 0.5085 | 0.4792 | 0.4836 | 0.506 | 0.5259 | 0.5469 | 0.5642 | 0.5817 | 0.5951 | 0.6062 | 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-9fe4-197350929e56:58943 | MRT | Mauritania | PHL.80.6.35_1 | San Pablo | PH | gadm3 | 0.6952 | 0.6623 | 0.6559 | 0.6772 | 0.6968 | 0.7141 | 0.7294 | 0.7434 | 0.7569 | 0.7694 | 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-9fe4-197350929e56:58944 | MRT | Mauritania | PHL.55.27.11_1 | San Bartolome | PH | gadm3 | 0.6143 | 0.5718 | 0.5532 | 0.5652 | 0.58 | 0.5929 | 0.6055 | 0.617 | 0.6284 | 0.6388 | 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-9fe4-197350929e56:58945 | MRT | Mauritania | CAN.11.28.16_1 | Saint-Pascal | CA | gadm3 | 0.6706 | 0.5894 | 0.5443 | 0.5374 | 0.549 | 0.5502 | 0.5535 | 0.5579 | 0.5644 | 0.5704 | 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-9fe4-197350929e56:58946 | MRT | Mauritania | ZAF.3.1.1_1 | City of Johannesburg | ZA | gadm3 | 0.6052 | 0.6131 | 0.6558 | 0.7189 | 0.7672 | 0.8062 | 0.8391 | 0.8672 | 0.8918 | 0.9137 | 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-9fe4-197350929e56:58947 | MRT | Mauritania | POL.8.7.2_1 | Kamiennik | PL | gadm3 | 0.5897 | 0.5679 | 0.5495 | 0.5668 | 0.583 | 0.595 | 0.59 | 0.6097 | 0.6174 | 0.6409 | 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-9fe4-197350929e56:58948 | MRT | Mauritania | AUT.6.11.19_2 | Pirching am Traubenberg | AT | gadm3 | 0.5733 | 0.537 | 0.5113 | 0.5165 | 0.5229 | 0.5308 | 0.5566 | 0.5512 | 0.5713 | 0.5815 | 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-9fe4-197350929e56:58949 | MRT | Mauritania | THA.45.9.5_1 | Thothae | TH | gadm3 | 0.6234 | 0.5919 | 0.5917 | 0.6153 | 0.632 | 0.6458 | 0.6605 | 0.6736 | 0.6865 | 0.6951 | 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-9fe4-197350929e56:58950 | MRT | Mauritania | PHL.61.20.6_1 | Doliman | PH | gadm3 | 0.6602 | 0.6191 | 0.6025 | 0.6156 | 0.6306 | 0.6449 | 0.6587 | 0.672 | 0.6841 | 0.6963 | 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-9fe4-197350929e56:58951 | MRT | Mauritania | IDN.10.22.6_1 | Karanganyar | ID | gadm3 | 0.4466 | 0.4484 | 0.4887 | 0.5485 | 0.5949 | 0.6339 | 0.6657 | 0.6941 | 0.7206 | 0.7426 | 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-9fe4-197350929e56:58952 | MRT | Mauritania | VNM.52.5.6_1 | Huy Tân | VN | gadm3 | 0.4962 | 0.476 | 0.4856 | 0.5208 | 0.5446 | 0.5666 | 0.5915 | 0.6107 | 0.6256 | 0.6399 | 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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