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e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:0 | MLI | Mali | ES11 | Galicia | ES | nuts2_2024 | 0.5958 | 0.5694 | 0.5498 | 0.5546 | 0.5675 | 0.5804 | 0.5922 | 0.6026 | 0.6115 | 0.6192 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:1 | MLI | Mali | PL72 | Świętokrzyskie | PL | nuts2_2024 | 0.5131 | 0.4913 | 0.4822 | 0.4952 | 0.5107 | 0.5241 | 0.536 | 0.5467 | 0.5565 | 0.5658 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:2 | MLI | Mali | ES64 | Ciudad de Melilla | ES | nuts2_2024 | 0.453 | 0.4326 | 0.4132 | 0.41 | 0.4147 | 0.4231 | 0.4307 | 0.4369 | 0.4427 | 0.4476 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:3 | MLI | Mali | DEA3 | Münster | DE | nuts2_2024 | 0.5335 | 0.5084 | 0.4942 | 0.5003 | 0.5124 | 0.5245 | 0.5351 | 0.544 | 0.5514 | 0.5575 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:4 | MLI | Mali | PT1D | Oeste e Vale do Tejo | PT | nuts2_2024 | 0.5709 | 0.5264 | 0.4874 | 0.477 | 0.4811 | 0.4888 | 0.4977 | 0.5067 | 0.5153 | 0.5234 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:5 | MLI | Mali | AT31 | Oberösterreich | AT | nuts2_2024 | 0.532 | 0.5058 | 0.4925 | 0.5019 | 0.5164 | 0.5308 | 0.5441 | 0.556 | 0.5667 | 0.5762 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:6 | MLI | Mali | ES62 | Región de Murcia | ES | nuts2_2024 | 0.5579 | 0.5312 | 0.51 | 0.512 | 0.5235 | 0.5362 | 0.5478 | 0.558 | 0.5667 | 0.5741 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:7 | MLI | Mali | SE23 | Västsverige | SE | nuts2_2024 | 0.5496 | 0.5039 | 0.4692 | 0.4615 | 0.4651 | 0.4716 | 0.4786 | 0.4853 | 0.4915 | 0.497 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:8 | MLI | Mali | PL81 | Lubelskie | PL | nuts2_2024 | 0.5075 | 0.4881 | 0.4817 | 0.4959 | 0.512 | 0.5257 | 0.5377 | 0.5486 | 0.5585 | 0.5677 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:9 | MLI | Mali | BE32 | Prov. Hainaut | BE | nuts2_2024 | 0.6157 | 0.5738 | 0.5339 | 0.5144 | 0.5083 | 0.5067 | 0.5071 | 0.5085 | 0.5103 | 0.5123 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:10 | MLI | Mali | RO11 | Nord-Vest | RO | nuts2_2024 | 0.5698 | 0.5286 | 0.4939 | 0.4848 | 0.4887 | 0.4962 | 0.5048 | 0.5136 | 0.5221 | 0.5302 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:11 | MLI | Mali | FI1D | Pohjois- ja Itä-Suomi | FI | nuts2_2024 | 0.4951 | 0.4596 | 0.4342 | 0.4311 | 0.4359 | 0.4427 | 0.4498 | 0.4563 | 0.4621 | 0.4671 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:12 | MLI | Mali | CY00 | Kýpros | CY | nuts2_2024 | 0.4739 | 0.4415 | 0.4144 | 0.406 | 0.4077 | 0.4129 | 0.4192 | 0.4259 | 0.4325 | 0.4388 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:13 | MLI | Mali | ITH5 | Emilia-Romagna | IT | nuts2_2024 | 0.5335 | 0.5058 | 0.4903 | 0.4953 | 0.5078 | 0.5215 | 0.5348 | 0.547 | 0.5583 | 0.5685 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:14 | MLI | Mali | DEE0 | Sachsen-Anhalt | DE | nuts2_2024 | 0.6131 | 0.589 | 0.5838 | 0.6004 | 0.6173 | 0.6318 | 0.6438 | 0.6535 | 0.6613 | 0.6676 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:15 | MLI | Mali | DEG0 | Thüringen | DE | nuts2_2024 | 0.6041 | 0.5817 | 0.5792 | 0.5986 | 0.6173 | 0.6334 | 0.6469 | 0.6584 | 0.6679 | 0.6758 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:16 | MLI | Mali | TRA2 | Ağrı, Kars, Iğdır, Ardahan | TR | nuts2_2024 | 0.1903 | 0.1741 | 0.1559 | 0.1451 | 0.141 | 0.1396 | 0.1393 | 0.1395 | 0.1399 | 0.1404 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:17 | MLI | Mali | NL23 | Flevoland | NL | nuts2_2024 | 0.6531 | 0.6081 | 0.5747 | 0.5643 | 0.5668 | 0.5727 | 0.5789 | 0.5849 | 0.5901 | 0.5947 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:18 | MLI | Mali | FRF3 | Lorraine | FR | nuts2_2024 | 0.6147 | 0.5851 | 0.5583 | 0.5502 | 0.552 | 0.5563 | 0.561 | 0.5654 | 0.5693 | 0.5727 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:19 | MLI | Mali | BE22 | Prov. Limburg (BE) | BE | nuts2_2024 | 0.5935 | 0.5535 | 0.5191 | 0.5065 | 0.5058 | 0.5089 | 0.5133 | 0.5181 | 0.5228 | 0.5275 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:20 | MLI | Mali | LT01 | Sostinės regionas | LT | nuts2_2024 | 0.5331 | 0.5008 | 0.4793 | 0.482 | 0.4915 | 0.5017 | 0.5113 | 0.5203 | 0.5283 | 0.5355 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:21 | MLI | Mali | FRE1 | Nord-Pas de Calais | FR | nuts2_2024 | 0.6387 | 0.6072 | 0.5758 | 0.5596 | 0.5553 | 0.5551 | 0.5566 | 0.5587 | 0.5608 | 0.5629 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:22 | MLI | Mali | DE26 | Unterfranken | DE | nuts2_2024 | 0.5623 | 0.5387 | 0.5312 | 0.5434 | 0.5584 | 0.5724 | 0.5849 | 0.5957 | 0.6051 | 0.6131 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:23 | MLI | Mali | ES24 | Aragón | ES | nuts2_2024 | 0.5772 | 0.553 | 0.5413 | 0.5519 | 0.5668 | 0.5808 | 0.5927 | 0.6026 | 0.6108 | 0.6175 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:24 | MLI | Mali | DED2 | Dresden | DE | nuts2_2024 | 0.6108 | 0.5933 | 0.5972 | 0.6202 | 0.6406 | 0.6573 | 0.6699 | 0.6798 | 0.6876 | 0.6935 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:25 | MLI | Mali | DEF0 | Schleswig-Holstein | DE | nuts2_2024 | 0.5859 | 0.5579 | 0.5442 | 0.5529 | 0.5657 | 0.5776 | 0.5873 | 0.5953 | 0.6016 | 0.6066 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:26 | MLI | Mali | DE14 | Tübingen | DE | nuts2_2024 | 0.5431 | 0.5213 | 0.5116 | 0.5225 | 0.5373 | 0.5511 | 0.563 | 0.5729 | 0.581 | 0.5876 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:27 | MLI | Mali | BA03 | Brčko District BiH | BA | nuts2_2024 | 0.4752 | 0.4277 | 0.3917 | 0.3775 | 0.376 | 0.379 | 0.3827 | 0.3872 | 0.3915 | 0.396 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:28 | MLI | Mali | DE13 | Freiburg | DE | nuts2_2024 | 0.5535 | 0.5304 | 0.5203 | 0.5321 | 0.5474 | 0.5616 | 0.5738 | 0.5838 | 0.592 | 0.5987 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:29 | MLI | Mali | FRG0 | Pays de la Loire | FR | nuts2_2024 | 0.6316 | 0.6091 | 0.5928 | 0.5881 | 0.5908 | 0.5952 | 0.5996 | 0.6036 | 0.607 | 0.61 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:30 | MLI | Mali | RS11 | City of Belgrade | RS | nuts2_2024 | 0.5274 | 0.5152 | 0.5169 | 0.5272 | 0.5401 | 0.5535 | 0.5664 | 0.5784 | 0.5895 | 0.5994 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:31 | MLI | Mali | TRB2 | Van, Muş, Bitlis, Hakkari | TR | nuts2_2024 | 0.1538 | 0.1427 | 0.1323 | 0.127 | 0.1259 | 0.1262 | 0.127 | 0.1279 | 0.1289 | 0.1297 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:32 | MLI | Mali | HR03 | Jadranska Hrvatska | HR | nuts2_2024 | 0.4428 | 0.4208 | 0.409 | 0.4163 | 0.4294 | 0.4426 | 0.455 | 0.4661 | 0.476 | 0.4848 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:33 | MLI | Mali | NL32 | Noord-Holland | NL | nuts2_2024 | 0.6034 | 0.5745 | 0.5564 | 0.5569 | 0.5654 | 0.5749 | 0.584 | 0.5921 | 0.5992 | 0.6054 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:34 | MLI | Mali | LU00 | Luxembourg | LU | nuts2_2024 | 0.562 | 0.5252 | 0.5009 | 0.5035 | 0.5134 | 0.524 | 0.5337 | 0.5423 | 0.5499 | 0.5566 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:35 | MLI | Mali | NL41 | Noord-Brabant | NL | nuts2_2024 | 0.63 | 0.5922 | 0.5641 | 0.5558 | 0.5581 | 0.5638 | 0.5703 | 0.5769 | 0.5831 | 0.5888 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:36 | MLI | Mali | PL42 | Zachodniopomorskie | PL | nuts2_2024 | 0.5485 | 0.52 | 0.5046 | 0.5139 | 0.5272 | 0.5392 | 0.5501 | 0.5602 | 0.5695 | 0.5781 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:37 | MLI | Mali | TR33 | Manisa, Afyonkarahisar, Kütahya, Uşak | TR | nuts2_2024 | 0.2681 | 0.2326 | 0.1985 | 0.1776 | 0.1681 | 0.163 | 0.1601 | 0.1584 | 0.1575 | 0.1569 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:38 | MLI | Mali | FRY2 | Martinique | FR | nuts2_2024 | 0.5993 | 0.602 | 0.6271 | 0.6695 | 0.7017 | 0.7268 | 0.7464 | 0.7617 | 0.7741 | 0.7842 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:39 | MLI | Mali | PL71 | Łódzkie | PL | nuts2_2024 | 0.5437 | 0.522 | 0.5138 | 0.5263 | 0.541 | 0.5539 | 0.5654 | 0.5758 | 0.5855 | 0.5944 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:40 | MLI | Mali | PT1B | Península de Setúbal | PT | nuts2_2024 | 0.6027 | 0.5567 | 0.5189 | 0.5092 | 0.5148 | 0.5247 | 0.5353 | 0.5457 | 0.5555 | 0.5645 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:41 | MLI | Mali | CH04 | Zürich | CH | nuts2_2024 | 0.5363 | 0.5111 | 0.5005 | 0.5158 | 0.5341 | 0.55 | 0.563 | 0.5739 | 0.5829 | 0.5903 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:42 | MLI | Mali | ITF3 | Campania | IT | nuts2_2024 | 0.5656 | 0.5263 | 0.4856 | 0.4648 | 0.4609 | 0.4631 | 0.4681 | 0.474 | 0.4803 | 0.4866 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:43 | MLI | Mali | FRI3 | Poitou-Charentes | FR | nuts2_2024 | 0.6452 | 0.6183 | 0.5974 | 0.5921 | 0.5954 | 0.6004 | 0.6049 | 0.6091 | 0.6126 | 0.6156 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:44 | MLI | Mali | ITF5 | Basilicata | IT | nuts2_2024 | 0.4977 | 0.4694 | 0.4444 | 0.4387 | 0.4424 | 0.4493 | 0.4574 | 0.4658 | 0.4744 | 0.4828 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:45 | MLI | Mali | CZ07 | Střední Morava | CZ | nuts2_2024 | 0.5535 | 0.5293 | 0.5179 | 0.527 | 0.5394 | 0.5507 | 0.5608 | 0.5696 | 0.5771 | 0.5834 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:46 | MLI | Mali | DK04 | Midtjylland | DK | nuts2_2024 | 0.5817 | 0.5348 | 0.501 | 0.4945 | 0.4968 | 0.5015 | 0.5072 | 0.5132 | 0.5191 | 0.5248 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:47 | MLI | Mali | HU23 | Dél-Dunántúl | HU | nuts2_2024 | 0.5663 | 0.5249 | 0.4939 | 0.491 | 0.4964 | 0.5027 | 0.509 | 0.5155 | 0.5218 | 0.5281 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:48 | MLI | Mali | ITC4 | Lombardia | IT | nuts2_2024 | 0.5534 | 0.5254 | 0.508 | 0.5123 | 0.5247 | 0.5385 | 0.5517 | 0.564 | 0.5751 | 0.5851 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:49 | MLI | Mali | RO22 | Sud-Est | RO | nuts2_2024 | 0.5483 | 0.5009 | 0.4566 | 0.4408 | 0.4418 | 0.4476 | 0.455 | 0.4626 | 0.4701 | 0.4773 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:50 | MLI | Mali | CZ08 | Moravskoslezsko | CZ | nuts2_2024 | 0.5726 | 0.545 | 0.5297 | 0.5354 | 0.546 | 0.5567 | 0.5664 | 0.5747 | 0.5819 | 0.5879 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:51 | MLI | Mali | DEB2 | Trier | DE | nuts2_2024 | 0.5667 | 0.5421 | 0.5336 | 0.5453 | 0.5588 | 0.5714 | 0.5833 | 0.5936 | 0.6036 | 0.6123 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:52 | MLI | Mali | ITC2 | Valle d’Aosta/Vallée d’Aoste | IT | nuts2_2024 | 0.5723 | 0.5436 | 0.5228 | 0.5256 | 0.5376 | 0.551 | 0.5647 | 0.5779 | 0.59 | 0.6014 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:53 | MLI | Mali | AL01 | Veri | AL | nuts2_2024 | 0.4315 | 0.3934 | 0.3512 | 0.3267 | 0.3191 | 0.3169 | 0.3167 | 0.3172 | 0.3179 | 0.3187 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:54 | MLI | Mali | BE31 | Prov. Brabant wallon | BE | nuts2_2024 | 0.6081 | 0.5759 | 0.5519 | 0.5472 | 0.5512 | 0.5566 | 0.5623 | 0.5677 | 0.5727 | 0.5773 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:55 | MLI | Mali | NL11 | Groningen | NL | nuts2_2024 | 0.6338 | 0.5954 | 0.568 | 0.5616 | 0.5652 | 0.5713 | 0.5777 | 0.5842 | 0.5901 | 0.5954 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:56 | MLI | Mali | ITF2 | Molise | IT | nuts2_2024 | 0.5095 | 0.4845 | 0.4634 | 0.4616 | 0.4684 | 0.4777 | 0.4876 | 0.4974 | 0.5072 | 0.5166 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:57 | MLI | Mali | TR83 | Samsun, Tokat, Çorum, Amasya | TR | nuts2_2024 | 0.2875 | 0.2539 | 0.2189 | 0.1957 | 0.1846 | 0.1786 | 0.1751 | 0.173 | 0.1717 | 0.1709 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:58 | MLI | Mali | TR32 | Aydın, Denizli, Muğla | TR | nuts2_2024 | 0.3389 | 0.2991 | 0.2621 | 0.2392 | 0.2291 | 0.224 | 0.2214 | 0.2203 | 0.2199 | 0.2199 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:59 | MLI | Mali | ES70 | Canarias | ES | nuts2_2024 | 0.5999 | 0.573 | 0.5524 | 0.5563 | 0.5693 | 0.5834 | 0.5963 | 0.6077 | 0.6176 | 0.6262 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:60 | MLI | Mali | DK01 | Hovedstaden | DK | nuts2_2024 | 0.5449 | 0.5128 | 0.4942 | 0.4948 | 0.5011 | 0.5087 | 0.5165 | 0.5238 | 0.5306 | 0.5368 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:61 | MLI | Mali | ITH1 | Provincia Autonoma di Bolzano/Bozen | IT | nuts2_2024 | 0.4755 | 0.4568 | 0.4519 | 0.4669 | 0.4854 | 0.5037 | 0.5208 | 0.5361 | 0.55 | 0.5627 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:62 | MLI | Mali | HR06 | Sjeverna Hrvatska | HR | nuts2_2024 | 0.4784 | 0.4454 | 0.4196 | 0.4172 | 0.425 | 0.4353 | 0.4458 | 0.4561 | 0.4659 | 0.475 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:63 | MLI | Mali | NL34 | Zeeland | NL | nuts2_2024 | 0.6204 | 0.5775 | 0.5467 | 0.5381 | 0.5403 | 0.5462 | 0.5525 | 0.5586 | 0.5643 | 0.5693 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:64 | MLI | Mali | DEA4 | Detmold | DE | nuts2_2024 | 0.5377 | 0.5149 | 0.5026 | 0.5113 | 0.5252 | 0.5381 | 0.5488 | 0.5575 | 0.5645 | 0.57 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:65 | MLI | Mali | FRY3 | Guyane | FR | nuts2_2024 | 0.5828 | 0.591 | 0.6375 | 0.7048 | 0.7516 | 0.7851 | 0.8105 | 0.8301 | 0.8459 | 0.8588 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:66 | MLI | Mali | AL02 | Qender | AL | nuts2_2024 | 0.4591 | 0.4223 | 0.3836 | 0.3607 | 0.3538 | 0.3525 | 0.3532 | 0.3546 | 0.3561 | 0.3575 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:67 | MLI | Mali | ITI2 | Umbria | IT | nuts2_2024 | 0.5336 | 0.505 | 0.4855 | 0.4869 | 0.4968 | 0.5089 | 0.5214 | 0.5335 | 0.545 | 0.5557 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:68 | MLI | Mali | ITG1 | Sicilia | IT | nuts2_2024 | 0.5691 | 0.5277 | 0.4843 | 0.461 | 0.4546 | 0.4547 | 0.4577 | 0.4619 | 0.4667 | 0.4717 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:69 | MLI | Mali | PT20 | Região Autónoma dos Açores | PT | nuts2_2024 | 0.5809 | 0.5333 | 0.4856 | 0.4645 | 0.4612 | 0.4631 | 0.4675 | 0.4728 | 0.4785 | 0.4842 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:70 | MLI | Mali | ES13 | Cantabria | ES | nuts2_2024 | 0.5767 | 0.5527 | 0.5371 | 0.5442 | 0.5574 | 0.5699 | 0.5809 | 0.5903 | 0.5982 | 0.6048 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:71 | MLI | Mali | DE23 | Oberpfalz | DE | nuts2_2024 | 0.5545 | 0.5334 | 0.5276 | 0.5416 | 0.558 | 0.5731 | 0.5864 | 0.5981 | 0.6082 | 0.617 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:72 | MLI | Mali | BA01 | Federacija Bosne i Hercegovine | BA | nuts2_2024 | 0.4481 | 0.4025 | 0.3645 | 0.3492 | 0.3468 | 0.3485 | 0.3518 | 0.3557 | 0.3598 | 0.3639 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:73 | MLI | Mali | DE80 | Mecklenburg-Vorpommern | DE | nuts2_2024 | 0.6168 | 0.5943 | 0.5899 | 0.6073 | 0.6246 | 0.6392 | 0.6509 | 0.6604 | 0.6679 | 0.6738 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:74 | MLI | Mali | CH01 | Région lémanique | CH | nuts2_2024 | 0.5537 | 0.5253 | 0.5071 | 0.5159 | 0.5308 | 0.545 | 0.5572 | 0.5676 | 0.5764 | 0.584 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:75 | MLI | Mali | PL43 | Lubuskie | PL | nuts2_2024 | 0.5459 | 0.5178 | 0.5028 | 0.5126 | 0.526 | 0.5381 | 0.5489 | 0.5591 | 0.5686 | 0.5775 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:76 | MLI | Mali | DE50 | Bremen | DE | nuts2_2024 | 0.5155 | 0.4933 | 0.4806 | 0.4897 | 0.5022 | 0.5128 | 0.5217 | 0.5284 | 0.5336 | 0.5377 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:77 | MLI | Mali | TR82 | Kastamonu, Çankırı, Sinop | TR | nuts2_2024 | 0.2749 | 0.2383 | 0.2027 | 0.1804 | 0.1702 | 0.1645 | 0.1612 | 0.1592 | 0.1579 | 0.1571 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:78 | MLI | Mali | PL41 | Wielkopolskie | PL | nuts2_2024 | 0.5476 | 0.5223 | 0.507 | 0.515 | 0.5277 | 0.5397 | 0.5506 | 0.5606 | 0.57 | 0.5788 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:79 | MLI | Mali | ITF6 | Calabria | IT | nuts2_2024 | 0.5285 | 0.4954 | 0.4638 | 0.4501 | 0.4486 | 0.4515 | 0.4565 | 0.4624 | 0.4687 | 0.475 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:80 | MLI | Mali | TR63 | Hatay, Kahramanmaraş, Osmaniye | TR | nuts2_2024 | 0.2878 | 0.2582 | 0.2244 | 0.2008 | 0.1897 | 0.1836 | 0.1801 | 0.1781 | 0.1768 | 0.176 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:81 | MLI | Mali | SE32 | Mellersta Norrland | SE | nuts2_2024 | 0.5713 | 0.5206 | 0.4805 | 0.4704 | 0.4731 | 0.4791 | 0.4859 | 0.4927 | 0.4989 | 0.5046 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:82 | MLI | Mali | ITC1 | Piemonte | IT | nuts2_2024 | 0.5747 | 0.5435 | 0.5215 | 0.5219 | 0.5321 | 0.5445 | 0.557 | 0.5688 | 0.5798 | 0.5898 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:83 | MLI | Mali | AT11 | Burgenland | AT | nuts2_2024 | 0.5688 | 0.5401 | 0.5248 | 0.5351 | 0.5497 | 0.5643 | 0.5776 | 0.5897 | 0.6007 | 0.6105 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:84 | MLI | Mali | PL84 | Podlaskie | PL | nuts2_2024 | 0.5079 | 0.4882 | 0.4812 | 0.4949 | 0.5096 | 0.5227 | 0.5344 | 0.5451 | 0.5551 | 0.5644 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:85 | MLI | Mali | PT19 | Centro (PT) | PT | nuts2_2024 | 0.5761 | 0.5338 | 0.4973 | 0.489 | 0.4942 | 0.503 | 0.5125 | 0.5221 | 0.5313 | 0.5399 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:86 | MLI | Mali | SK04 | Východné Slovensko | SK | nuts2_2024 | 0.5503 | 0.5255 | 0.5085 | 0.5106 | 0.5189 | 0.528 | 0.5369 | 0.5452 | 0.5528 | 0.5597 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:87 | MLI | Mali | TRB1 | Malatya, Elazığ, Bingöl, Tunceli | TR | nuts2_2024 | 0.2237 | 0.2022 | 0.178 | 0.1631 | 0.1571 | 0.1547 | 0.1537 | 0.1534 | 0.1534 | 0.1535 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:88 | MLI | Mali | HU12 | Pest | HU | nuts2_2024 | 0.5859 | 0.5414 | 0.5087 | 0.5047 | 0.5096 | 0.5163 | 0.5232 | 0.5302 | 0.5372 | 0.544 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:89 | MLI | Mali | TRA1 | Erzurum, Erzincan, Bayburt | TR | nuts2_2024 | 0.1968 | 0.1763 | 0.1547 | 0.141 | 0.1353 | 0.1327 | 0.1315 | 0.1311 | 0.131 | 0.1311 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:90 | MLI | Mali | NL22 | Gelderland | NL | nuts2_2024 | 0.625 | 0.586 | 0.5564 | 0.5481 | 0.5504 | 0.5558 | 0.5618 | 0.5679 | 0.5737 | 0.5787 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:91 | MLI | Mali | TRC3 | Mardin, Batman, Şırnak, Siirt | TR | nuts2_2024 | 0.18 | 0.1683 | 0.1544 | 0.1456 | 0.1422 | 0.1411 | 0.141 | 0.1412 | 0.1416 | 0.142 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:92 | MLI | Mali | DE11 | Stuttgart | DE | nuts2_2024 | 0.5373 | 0.512 | 0.4989 | 0.5076 | 0.5218 | 0.5349 | 0.5461 | 0.5554 | 0.5629 | 0.5691 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:93 | MLI | Mali | PL52 | Opolskie | PL | nuts2_2024 | 0.5355 | 0.5093 | 0.4956 | 0.5063 | 0.5205 | 0.5331 | 0.5449 | 0.5556 | 0.5656 | 0.5748 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:94 | MLI | Mali | NO06 | Trøndelag/Trööndelage | NO | nuts2_2024 | 0.5484 | 0.5032 | 0.467 | 0.4624 | 0.4675 | 0.4746 | 0.4824 | 0.4901 | 0.4977 | 0.5048 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:95 | MLI | Mali | NL12 | Friesland (NL) | NL | nuts2_2024 | 0.6118 | 0.5739 | 0.5463 | 0.5409 | 0.5443 | 0.5504 | 0.5572 | 0.5641 | 0.5704 | 0.5761 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:96 | MLI | Mali | CH05 | Ostschweiz | CH | nuts2_2024 | 0.5386 | 0.508 | 0.4918 | 0.5018 | 0.5175 | 0.5325 | 0.5455 | 0.5567 | 0.5663 | 0.5743 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:97 | MLI | Mali | XK00 | Kosovo | XK | nuts2_2024 | 0.3487 | 0.321 | 0.2918 | 0.2692 | 0.2577 | 0.2516 | 0.2481 | 0.2462 | 0.2452 | 0.2447 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:98 | MLI | Mali | RO32 | Bucureşti-Ilfov | RO | nuts2_2024 | 0.5746 | 0.5353 | 0.5037 | 0.499 | 0.507 | 0.5181 | 0.5295 | 0.5403 | 0.5504 | 0.5597 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
e8a047fe-c9f0-4d27-bd91-cbca24d7d47a:99 | MLI | Mali | EE00 | Eesti | EE | nuts2_2024 | 0.5426 | 0.5057 | 0.4804 | 0.4799 | 0.4865 | 0.4938 | 0.5008 | 0.5074 | 0.5132 | 0.5185 | 2,024 | 2,026 | 2024-2026 | AI for Good at Meta | Cross Gender Ties | nuts2_2024_cgfr.csv | b138131c-52d0-48c0-8351-ee1c21cadf34 | e8a047fe-c9f0-4d27-bd91-cbca24d7d47a | https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/e8a047fe-c9f0-4d27-bd91-cbca24d7d47a/download/nuts2_2024_cgfr.csv | cc-by | 2026-08-12T23:12:09Z |
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