Datasets:
electricsheepafrica
/
africa-mali-cross-gender-ties-eb3709ca

Dataset card Data Studio Files
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2026-08-12 23:12:09
2026-08-12 23:12:09
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:0
MLI
Mali
THA.17.13_1
Muang Khon Kaen
TH
gadm2
0.5548
0.5279
0.5305
0.5544
0.5758
0.5947
0.6115
0.6267
0.6407
0.6535
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:1
MLI
Mali
VNM.40.4_1
Nam Định
VN
gadm2
0.5249
0.497
0.4915
0.5108
0.5324
0.5515
0.5678
0.5821
0.5945
0.6055
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:2
MLI
Mali
MEX.21.161_2
Tepanco de López
MX
gadm2
0.7561
0.7463
0.7568
0.7915
0.8232
0.8503
0.873
0.8929
0.9099
0.9241
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:3
MLI
Mali
THA.72.25_1
Warin Chamrap
TH
gadm2
0.5601
0.5333
0.5369
0.5598
0.5794
0.5969
0.6127
0.627
0.6403
0.6528
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:4
MLI
Mali
TZA.14.1_1
Gairo
TZ
gadm2
0.6263
0.6435
0.6773
0.729
0.7612
0.7842
0.802
0.8194
0.8303
0.8454
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:5
MLI
Mali
GUY.6.2_1
Bel Air / Woodlands
GY
gadm2
0.787
0.7561
0.7384
0.7654
0.7929
0.8181
0.8389
0.8595
0.876
0.8894
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:6
MLI
Mali
VNM.15.7_1
Ea Súp
VN
gadm2
0.5045
0.4763
0.4741
0.4929
0.5132
0.5317
0.5497
0.565
0.5794
0.5923
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:7
MLI
Mali
MEX.13.68_2
Tizayuca
MX
gadm2
0.7802
0.7593
0.7511
0.765
0.7845
0.8036
0.8214
0.8375
0.8515
0.8638
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:8
MLI
Mali
KOR.8.21_2
Pyeongtaek
KR
gadm2
0.2918
0.2959
0.3279
0.3711
0.3988
0.4164
0.429
0.4377
0.4443
0.4493
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:9
MLI
Mali
BRA.10.144_2
Pinheiro
BR
gadm2
0.7886
0.7761
0.7847
0.8131
0.8402
0.8647
0.8886
0.9096
0.9288
0.9463
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:10
MLI
Mali
PHL.3.1_1
Bayugan City
PH
gadm2
0.6572
0.6254
0.625
0.6489
0.6698
0.6885
0.7058
0.7215
0.7362
0.7499
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:11
MLI
Mali
MYS.13.7_1
Kota Marudu
MY
gadm2
0.4515
0.4347
0.4385
0.462
0.4835
0.5029
0.5199
0.5354
0.5487
0.5611
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:12
MLI
Mali
USA.25.72_1
Tunica
US
gadm2
0.6264
0.6226
0.6315
0.66
0.6793
0.6998
0.7146
0.7305
0.7435
0.7581
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:13
MLI
Mali
MAR.11.3_1
Salé
MA
gadm2
0.3939
0.3973
0.4152
0.4425
0.4629
0.4792
0.4922
0.5029
0.5117
0.5191
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:14
MLI
Mali
PHL.63.6_1
Saguday
PH
gadm2
0.6442
0.6051
0.5903
0.6091
0.6273
0.6429
0.6576
0.6696
0.6825
0.6946
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:15
MLI
Mali
EGY.11.18_1
As-Sayidah Zaynab
EG
gadm2
0.3301
0.3125
0.2857
0.2676
0.2616
0.2564
0.2534
0.2524
0.2514
0.2508
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:16
MLI
Mali
USA.25.31_1
Jasper
US
gadm2
0.6322
0.5965
0.579
0.5821
0.5911
0.6016
0.6123
0.6213
0.6305
0.64
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:17
MLI
Mali
ARG.6.14_1
Rió Cuarto
AR
gadm2
0.5777
0.5455
0.5295
0.5269
0.5311
0.5386
0.5475
0.557
0.5664
0.5757
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:18
MLI
Mali
BRA.25.602_2
Taquarituba
BR
gadm2
0.6091
0.5618
0.5241
0.5139
0.5141
0.5194
0.5279
0.5353
0.5433
0.5522
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:19
MLI
Mali
SRB.21.2_1
Batočina
RS
gadm2
0.4708
0.46
0.4563
0.4719
0.4698
0.4757
0.4908
0.4938
0.504
0.5227
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:20
MLI
Mali
MEX.31.92_2
Tixcacalcupul
MX
gadm2
0.6589
0.6138
0.6041
0.6273
0.6441
0.6678
0.6812
0.694
0.7074
0.7177
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:21
MLI
Mali
USA.1.49_1
Mobile
US
gadm2
0.628
0.594
0.5805
0.5864
0.5959
0.6066
0.6174
0.6279
0.6381
0.6478
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:22
MLI
Mali
CAN.11.38_1
La Haute-Yamaska
CA
gadm2
0.649
0.5942
0.5727
0.5728
0.5766
0.5803
0.584
0.5888
0.5929
0.5973
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:23
MLI
Mali
THA.42.4_1
Lom Kao
TH
gadm2
0.5735
0.549
0.5491
0.5709
0.5911
0.6091
0.625
0.6396
0.6529
0.6657
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:24
MLI
Mali
NOR.13.7_1
Hå
NO
gadm2
0.5031
0.4636
0.4274
0.4209
0.4266
0.4332
0.4394
0.4454
0.4525
0.4585
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:25
MLI
Mali
BRA.10.119_2
Miranda do Norte
BR
gadm2
0.7051
0.6857
0.6915
0.7169
0.7424
0.7659
0.7865
0.8055
0.8226
0.8378
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:26
MLI
Mali
CAN.3.4_1
Division No. 13
CA
gadm2
0.5415
0.5131
0.5052
0.5123
0.5201
0.5273
0.5351
0.5423
0.5488
0.5544
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:27
MLI
Mali
TUN.16.2_1
Beni Khiar
TN
gadm2
0.4746
0.438
0.3942
0.3712
0.3614
0.357
0.3544
0.3537
0.3536
0.354
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:28
MLI
Mali
BRA.25.154_2
Diadema
BR
gadm2
0.6196
0.5887
0.5717
0.5696
0.5757
0.5852
0.5959
0.6069
0.6176
0.6275
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:29
MLI
Mali
SLV.3.25_1
San Francisco Morazán
SV
gadm2
0.7084
0.6846
0.6725
0.6914
0.7147
0.7353
0.7558
0.7713
0.7855
0.7984
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:30
MLI
Mali
MOZ.4.7_1
Mossurize
MZ
gadm2
0.5885
0.612
0.6589
0.7259
0.7692
0.803
0.8305
0.8468
0.8657
0.8781
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:31
MLI
Mali
ROU.16.29_1
Sanzieni
RO
gadm2
0.4514
0.433
0.4332
0.443
0.4515
0.4631
0.4729
0.4811
0.4868
0.4995
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:32
MLI
Mali
MEX.20.105_2
San Antonino Castillo Velasco
MX
gadm2
0.6438
0.6237
0.6304
0.6572
0.6855
0.7138
0.7397
0.7637
0.7824
0.8007
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:33
MLI
Mali
THA.27.1_1
Bang Len
TH
gadm2
0.5953
0.5606
0.5602
0.5843
0.605
0.6235
0.6398
0.6546
0.6677
0.6802
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:34
MLI
Mali
BRA.24.28_2
Balneário Camboriú
BR
gadm2
0.6068
0.5661
0.5513
0.5554
0.564
0.574
0.5846
0.5947
0.6045
0.6133
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:35
MLI
Mali
USA.20.9_1
Oxford
US
gadm2
0.6559
0.6026
0.5711
0.5657
0.5663
0.5692
0.5735
0.5791
0.5842
0.5896
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:36
MLI
Mali
MEX.21.154_2
Tecamachalco
MX
gadm2
0.7236
0.7038
0.7058
0.7341
0.7615
0.7866
0.8091
0.829
0.8463
0.8616
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:37
MLI
Mali
USA.16.55_1
Kossuth
US
gadm2
0.6181
0.5665
0.5337
0.5315
0.5332
0.5363
0.5399
0.5443
0.5485
0.5541
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:38
MLI
Mali
ROU.4.26_1
Faget
RO
gadm2
0.5015
0.4753
0.4563
0.4474
0.4508
0.456
0.4632
0.466
0.4763
0.4814
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:39
MLI
Mali
BRA.13.742_2
São José da Safira
BR
gadm2
0.597
0.5809
0.5693
0.5879
0.6112
0.6242
0.6393
0.6567
0.6684
0.687
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:40
MLI
Mali
PHL.20.28_1
Pamplona
PH
gadm2
0.6634
0.6355
0.633
0.6574
0.6803
0.6998
0.7185
0.7352
0.7516
0.7664
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:41
MLI
Mali
MEX.15.57_2
Metepec
MX
gadm2
0.7176
0.7086
0.7188
0.742
0.7638
0.7826
0.7997
0.8147
0.8279
0.8396
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:42
MLI
Mali
BRA.25.581_2
Severínia
BR
gadm2
0.6278
0.5796
0.5459
0.5358
0.5366
0.5437
0.5511
0.5603
0.5702
0.5793
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:43
MLI
Mali
CHE.6.4_1
Biel
CH
gadm2
0.527
0.5027
0.4923
0.5037
0.5186
0.5342
0.5461
0.5564
0.5665
0.5744
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:44
MLI
Mali
NOR.3.9_1
Grimstad
NO
gadm2
0.5388
0.4974
0.4643
0.4613
0.4674
0.474
0.4816
0.4885
0.4957
0.5021
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:45
MLI
Mali
BRA.10.111_2
Marajá do Sena
BR
gadm2
0.6333
0.6241
0.6271
0.6535
0.676
0.6973
0.7147
0.7304
0.7418
0.7528
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:46
MLI
Mali
BRA.9.36_2
Bonópolis
BR
gadm2
0.6386
0.618
0.6108
0.6166
0.6306
0.6503
0.6745
0.6874
0.6994
0.7126
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:47
MLI
Mali
HND.12.17_1
Santa María
HN
gadm2
0.7872
0.7819
0.7973
0.8412
0.8863
0.9241
0.9482
0.975
0.9961
1.018
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:48
MLI
Mali
NOR.6.19_1
Tolga
NO
gadm2
0.5287
0.4912
0.4498
0.458
0.4607
0.482
0.483
0.4888
0.4787
0.4844
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:49
MLI
Mali
IRQ.16.10_1
Tilkef
IQ
gadm2
0.1841
0.167
0.1416
0.1266
0.119
0.1153
0.1132
0.1119
0.1114
0.111
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:50
MLI
Mali
BRA.27.48_2
Dois Irmãos do Tocantins
BR
gadm2
0.6657
0.6505
0.6357
0.6492
0.6695
0.686
0.7003
0.7146
0.728
0.7446
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:51
MLI
Mali
PHL.33.1_1
Aguinaldo
PH
gadm2
0.649
0.6304
0.6309
0.6532
0.6768
0.6937
0.7099
0.7232
0.7362
0.75
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:52
MLI
Mali
USA.6.31_1
Jefferson
US
gadm2
0.6213
0.5856
0.5783
0.5845
0.5931
0.6026
0.6124
0.6221
0.6309
0.639
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:53
MLI
Mali
NGA.14.5_1
Enugu South
NG
gadm2
0.6441
0.6488
0.6764
0.7227
0.7611
0.7927
0.8201
0.8432
0.8627
0.8799
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:54
MLI
Mali
PHL.69.7_1
Gubat
PH
gadm2
0.63
0.5951
0.5886
0.613
0.6371
0.6585
0.6778
0.6952
0.7111
0.7256
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:55
MLI
Mali
ROU.24.5_1
Barnova
RO
gadm2
0.6197
0.5465
0.5026
0.495
0.4974
0.5031
0.5126
0.5182
0.5226
0.5315
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:56
MLI
Mali
TUN.18.2_1
Jelma
TN
gadm2
0.4193
0.3957
0.3663
0.3463
0.3391
0.335
0.3321
0.3308
0.3293
0.3289
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:57
MLI
Mali
PHL.34.17_1
Paoay
PH
gadm2
0.6099
0.5764
0.564
0.583
0.6009
0.6159
0.6293
0.6417
0.6539
0.6643
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:58
MLI
Mali
HRV.12.4_1
Kaptol
HR
gadm2
0.441
0.4088
0.3795
0.3667
0.3689
0.3694
0.3809
0.3799
0.3857
0.3941
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:59
MLI
Mali
JPN.15.10_1
Nakanoto
JP
gadm2
0.3904
0.3549
0.4093
0.448
0.4761
0.4657
0.4787
0.4897
0.4881
0.4873
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:60
MLI
Mali
PER.23.6_1
Moyobamba
PE
gadm2
0.7176
0.7018
0.7057
0.7341
0.7656
0.7959
0.8234
0.8477
0.8699
0.8901
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:61
MLI
Mali
COL.11.38_2
Timbiquí
CO
gadm2
0.7536
0.7622
0.8117
0.88
0.9328
0.9742
1.0057
1.0288
1.0539
1.0707
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:62
MLI
Mali
USA.19.47_1
Saint James
US
gadm2
0.5816
0.5526
0.5394
0.543
0.5489
0.5561
0.564
0.5724
0.5803
0.5881
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:63
MLI
Mali
PHL.37.12_1
Divilacan
PH
gadm2
0.7198
0.6967
0.6923
0.7095
0.7242
0.7408
0.7525
0.7656
0.7759
0.7886
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:64
MLI
Mali
PER.6.11_1
San Miguel
PE
gadm2
0.7177
0.7027
0.7073
0.7326
0.7605
0.7864
0.8088
0.8293
0.8474
0.8615
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:65
MLI
Mali
BRA.13.175_2
Chácara
BR
gadm2
0.6411
0.5956
0.5753
0.5858
0.5946
0.5991
0.6144
0.6291
0.637
0.6496
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:66
MLI
Mali
ROU.19.40_1
Piscu
RO
gadm2
0.5474
0.4961
0.4634
0.4487
0.4574
0.4593
0.4706
0.4774
0.4845
0.4883
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:67
MLI
Mali
IRQ.6.7_1
Soran
IQ
gadm2
0.2999
0.2879
0.2736
0.2643
0.2574
0.252
0.2485
0.2461
0.2443
0.2424
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:68
MLI
Mali
AUS.5.82_1
Lismore
AU
gadm2
0.5654
0.5281
0.5182
0.5246
0.5303
0.5367
0.5444
0.5508
0.5562
0.5618
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:69
MLI
Mali
COL.23.3_2
Bochalema
CO
gadm2
0.7616
0.7383
0.7402
0.755
0.7735
0.7945
0.8128
0.8314
0.8467
0.8616
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:70
MLI
Mali
BRA.26.15_2
Cedro de São João
BR
gadm2
0.6024
0.5844
0.5811
0.5925
0.608
0.6267
0.6366
0.6438
0.6595
0.6778
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:71
MLI
Mali
USA.18.24_1
Christian
US
gadm2
0.6556
0.6044
0.5726
0.5656
0.569
0.5743
0.5812
0.5884
0.5954
0.6023
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:72
MLI
Mali
TZA.23.4_1
Shinyanga Rural
TZ
gadm2
0.6871
0.6968
0.7282
0.7691
0.8082
0.8324
0.8532
0.8708
0.8913
0.8987
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:73
MLI
Mali
BRA.4.15_2
Caapiranga
BR
gadm2
0.7245
0.7079
0.7117
0.7321
0.7561
0.7725
0.7919
0.8089
0.8275
0.84
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:74
MLI
Mali
MEX.5.86_2
San Juan Cancuc
MX
gadm2
0.6979
0.7076
0.7668
0.8517
0.9151
0.9662
1.0021
1.0353
1.0645
1.0858
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:75
MLI
Mali
TUN.1.5_1
Raoued
TN
gadm2
0.4551
0.4262
0.3959
0.3801
0.3747
0.3733
0.3736
0.3744
0.3759
0.3772
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:76
MLI
Mali
KHM.2.6_2
Koas Krala
KH
gadm2
0.6613
0.6564
0.6865
0.7338
0.7677
0.7959
0.8176
0.8383
0.8558
0.8719
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:77
MLI
Mali
JPN.2.25_1
Yuzawa
JP
gadm2
0.3351
0.356
0.4095
0.4648
0.4923
0.508
0.5141
0.526
0.5272
0.5274
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:78
MLI
Mali
ROU.3.96_1
Vladesti
RO
gadm2
0.5481
0.5228
0.4908
0.4711
0.4712
0.4719
0.4802
0.486
0.4948
0.4997
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:79
MLI
Mali
MEX.15.13_2
Atizapán de Zaragoza
MX
gadm2
0.739
0.7286
0.7367
0.7572
0.7776
0.7966
0.8138
0.8289
0.8424
0.8543
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:80
MLI
Mali
ITA.11.2_1
Ascoli Piceno
IT
gadm2
0.5365
0.5041
0.4825
0.4793
0.4869
0.497
0.5079
0.5187
0.5291
0.5389
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:81
MLI
Mali
MOZ.7.14_1
Murrupula
MZ
gadm2
0.5724
0.5727
0.6199
0.6837
0.7268
0.7543
0.7831
0.8051
0.822
0.8344
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:82
MLI
Mali
BRA.6.129_2
Pacoti
BR
gadm2
0.653
0.6292
0.6186
0.6336
0.6546
0.669
0.6821
0.6964
0.7086
0.7208
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:83
MLI
Mali
COL.11.14_2
Jambaló
CO
gadm2
0.7578
0.7533
0.7888
0.8446
0.8905
0.9295
0.9641
0.9937
1.0202
1.0435
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:84
MLI
Mali
BRA.10.152_2
Presidente Médici
BR
gadm2
0.7042
0.702
0.7139
0.7469
0.7756
0.7948
0.815
0.8374
0.8568
0.8745
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:85
MLI
Mali
PHL.70.6_1
Polomolok
PH
gadm2
0.6371
0.6069
0.6043
0.6271
0.6482
0.6663
0.6822
0.6968
0.7103
0.7229
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:86
MLI
Mali
PRY.7.8_1
San Juan Nepomuceno
PY
gadm2
0.766
0.7392
0.7232
0.7377
0.7602
0.786
0.8113
0.8362
0.8584
0.8806
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:87
MLI
Mali
TZA.16.1_1
Ilemela
TZ
gadm2
0.6409
0.6501
0.688
0.7436
0.782
0.8107
0.8336
0.852
0.8681
0.8825
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:88
MLI
Mali
SLE.2.1_1
Bombali
SL
gadm2
0.5546
0.5621
0.5962
0.6518
0.6949
0.7277
0.7535
0.7742
0.7904
0.804
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:89
MLI
Mali
COL.22.24_2
Guaitarilla
CO
gadm2
0.723
0.7234
0.7599
0.8189
0.8674
0.9082
0.9444
0.9756
1.0024
1.03
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:90
MLI
Mali
POL.12.20_1
Myszków
PL
gadm2
0.531
0.5079
0.4958
0.5075
0.5209
0.5339
0.5457
0.5562
0.5663
0.5757
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:91
MLI
Mali
BRA.15.100_2
Juru
BR
gadm2
0.6118
0.57
0.5474
0.5392
0.5444
0.5498
0.559
0.5677
0.5764
0.5859
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:92
MLI
Mali
TUR.3.1_1
Başmakçı
TR
gadm2
0.2114
0.1851
0.1557
0.1391
0.131
0.1283
0.1252
0.1239
0.1244
0.1248
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:93
MLI
Mali
BGR.25.10_1
Zlataritsa
BG
gadm2
0.558
0.5402
0.5249
0.5256
0.5332
0.5322
0.5361
0.5504
0.5509
0.5564
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:94
MLI
Mali
DZA.35.5_1
Ben Daoud
DZ
gadm2
0.3523
0.3283
0.2933
0.2777
0.2699
0.2658
0.2649
0.2644
0.2639
0.2644
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:95
MLI
Mali
JPN.9.23_1
Mizuho
JP
gadm2
0.379
0.3796
0.4137
0.4572
0.4755
0.4862
0.4935
0.5024
0.5043
0.5044
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:96
MLI
Mali
BRA.15.186_2
São José de Espinharas
BR
gadm2
0.662
0.6506
0.6327
0.6409
0.647
0.662
0.6727
0.6772
0.6888
0.6986
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:97
MLI
Mali
BRA.2.36_2
Inhapi
BR
gadm2
0.6296
0.5984
0.5864
0.6019
0.6231
0.6418
0.6607
0.676
0.6905
0.7032
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:98
MLI
Mali
COL.2.74_2
Nechí
CO
gadm2
0.742
0.7359
0.7594
0.8041
0.8444
0.8772
0.9052
0.9297
0.9526
0.9728
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd:99
MLI
Mali
THA.8.9_1
Khon Sawan
TH
gadm2
0.5992
0.5691
0.5634
0.5811
0.5993
0.6157
0.6309
0.6446
0.6574
0.6683
2,025
2,026
2025-2026
AI for Good at Meta
Cross Gender Ties
gadm2_cgfr.csv
b138131c-52d0-48c0-8351-ee1c21cadf34
7eb541a4-d22b-4fc6-b7ed-769cb4df06dd
https://data.humdata.org/dataset/b138131c-52d0-48c0-8351-ee1c21cadf34/resource/7eb541a4-d22b-4fc6-b7ed-769cb4df06dd/download/gadm2_cgfr.csv
cc-by
2026-08-12T23:12:09Z