Datasets:
country string | year int64 | urban_rural string | gender string | age int64 | age_group string | income_quintile string | education string | employment_status string | branch_access_km float64 | atm_access_km float64 | account_ownership int64 | account_type string | bank_name string | usage_frequency_monthly int64 | months_inactive int64 | account_balance_usd float64 | primary_barrier string | has_overdraft int64 | has_debit_card int64 | has_online_banking int64 | scenario string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Uganda | 2,020 | rural | female | 70 | 55+ | middle | none | self_employed | 3.5 | 3.4 | 0 | none | none | 0 | 0 | 0 | other | 0 | 0 | 0 | low_burden |
Mali | 2,024 | urban | female | 47 | 45-54 | fourth | secondary | employed_informal | 4.7 | 0.6 | 1 | current | Ecobank | 0 | 8 | 0 | none | 0 | 0 | 0 | low_burden |
Rwanda | 2,018 | rural | male | 53 | 45-54 | fourth | tertiary | employed_informal | 23.3 | 7.5 | 1 | fixed_deposit | Equity Bank | 0 | 24 | 0 | none | 0 | 0 | 0 | low_burden |
Malawi | 2,021 | urban | male | 38 | 35-44 | lowest | primary | employed_formal | 8.3 | 4 | 1 | savings | Standard Bank | 2 | 0 | 371.22 | none | 0 | 0 | 1 | low_burden |
Malawi | 2,024 | rural | female | 68 | 55+ | lowest | tertiary | self_employed | 31.9 | 13.4 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
DRC | 2,025 | urban | female | 22 | 18-24 | fourth | secondary | self_employed | 0.2 | 0.3 | 1 | savings | Rawbank | 3 | 0 | 656.25 | none | 0 | 1 | 1 | low_burden |
Uganda | 2,020 | rural | female | 33 | 25-34 | highest | tertiary | self_employed | 1 | 7.7 | 1 | current | Centenary | 3 | 0 | 1,189.35 | none | 0 | 0 | 0 | low_burden |
Niger | 2,023 | urban | female | 74 | 55+ | highest | primary | student | 1 | 0.7 | 1 | savings | BAK | 2 | 0 | 1,982.5 | none | 0 | 0 | 0 | low_burden |
Ghana | 2,019 | urban | female | 45 | 35-44 | highest | none | self_employed | 5.5 | 0.6 | 1 | fixed_deposit | GCB | 2 | 0 | 565.92 | none | 0 | 1 | 0 | low_burden |
Uganda | 2,018 | rural | female | 27 | 25-34 | middle | none | unemployed | 6.2 | 4.9 | 0 | none | none | 0 | 0 | 0 | religious | 0 | 0 | 0 | low_burden |
Zambia | 2,020 | urban | female | 41 | 35-44 | highest | secondary | self_employed | 2.7 | 0.2 | 1 | savings | Zanaco | 3 | 0 | 1,141.92 | none | 0 | 1 | 0 | low_burden |
South Africa | 2,025 | urban | female | 32 | 25-34 | second | tertiary | self_employed | 0.2 | 3 | 1 | savings | Standard Bank | 2 | 0 | 547.1 | none | 0 | 0 | 0 | low_burden |
Mali | 2,023 | rural | female | 47 | 45-54 | fourth | primary | self_employed | 1.8 | 15 | 1 | savings | BMCD | 1 | 0 | 1,497.65 | none | 1 | 1 | 0 | low_burden |
Mali | 2,021 | urban | male | 31 | 25-34 | highest | none | employed_informal | 12.3 | 4.4 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Niger | 2,020 | rural | male | 40 | 35-44 | fourth | none | employed_informal | 14.5 | 16.9 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Mali | 2,019 | rural | male | 69 | 55+ | second | secondary | self_employed | 0.3 | 14.9 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Zambia | 2,020 | urban | female | 22 | 18-24 | second | tertiary | employed_formal | 0.6 | 1.1 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Uganda | 2,019 | rural | female | 61 | 55+ | second | primary | employed_informal | 33.2 | 18.7 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
DRC | 2,019 | urban | male | 22 | 18-24 | second | secondary | unemployed | 2.8 | 0 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Malawi | 2,023 | rural | female | 44 | 35-44 | fourth | secondary | self_employed | 5 | 2.3 | 1 | current | National Bank | 4 | 0 | 614.09 | none | 0 | 0 | 0 | low_burden |
Zambia | 2,019 | urban | male | 56 | 55+ | fourth | tertiary | employed_formal | 0.9 | 0.1 | 1 | savings | Zanaco | 4 | 0 | 2,965.52 | none | 0 | 1 | 1 | low_burden |
Ethiopia | 2,018 | urban | male | 72 | 55+ | lowest | secondary | employed_formal | 1.1 | 0.6 | 1 | savings | Commercial Bank of Ethiopia | 2 | 0 | 424.37 | none | 1 | 0 | 0 | low_burden |
Nigeria | 2,022 | urban | female | 32 | 25-34 | fourth | primary | student | 0 | 0.4 | 1 | current | Access Bank | 2 | 0 | 445.68 | none | 0 | 0 | 0 | low_burden |
Mozambique | 2,020 | rural | male | 21 | 18-24 | second | secondary | student | 7.9 | 2.9 | 1 | savings | Moza Banco | 4 | 0 | 120.78 | none | 0 | 1 | 0 | low_burden |
Mali | 2,021 | rural | male | 60 | 55+ | middle | secondary | self_employed | 29.8 | 0.9 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Rwanda | 2,019 | rural | female | 68 | 55+ | second | tertiary | employed_informal | 2.1 | 22.5 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Malawi | 2,019 | rural | male | 50 | 45-54 | middle | secondary | employed_informal | 5.9 | 0.2 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
DRC | 2,021 | rural | female | 21 | 18-24 | fourth | none | employed_informal | 19.9 | 4.3 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Senegal | 2,023 | rural | female | 46 | 45-54 | fourth | secondary | unemployed | 20.7 | 1.1 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Malawi | 2,021 | rural | female | 40 | 35-44 | fourth | secondary | self_employed | 17.8 | 9.9 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Malawi | 2,022 | rural | female | 43 | 35-44 | second | primary | unemployed | 93.7 | 10.8 | 0 | none | none | 0 | 0 | 0 | other | 0 | 0 | 0 | low_burden |
Ghana | 2,022 | urban | male | 21 | 18-24 | fourth | tertiary | employed_informal | 0.4 | 1.6 | 1 | savings | Absa | 2 | 0 | 1,326.45 | none | 0 | 1 | 0 | low_burden |
Uganda | 2,020 | rural | female | 36 | 35-44 | lowest | primary | unemployed | 0.9 | 0.4 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Senegal | 2,020 | rural | male | 74 | 55+ | middle | tertiary | employed_informal | 1.9 | 14.3 | 1 | savings | CBAO | 0 | 4 | 0 | none | 1 | 1 | 0 | low_burden |
Mozambique | 2,021 | urban | male | 20 | 18-24 | middle | primary | employed_informal | 1.3 | 0.4 | 0 | none | none | 0 | 0 | 0 | religious | 0 | 0 | 0 | low_burden |
Kenya | 2,018 | urban | female | 70 | 55+ | fourth | none | self_employed | 0.2 | 2.9 | 0 | none | none | 0 | 0 | 0 | religious | 0 | 0 | 0 | low_burden |
DRC | 2,023 | urban | male | 47 | 45-54 | highest | secondary | self_employed | 3.9 | 0.2 | 1 | savings | Equity BCDC | 4 | 0 | 1,158.12 | none | 0 | 0 | 0 | low_burden |
DRC | 2,022 | rural | female | 51 | 45-54 | second | secondary | unemployed | 0.9 | 0.5 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Tanzania | 2,020 | urban | male | 71 | 55+ | fourth | tertiary | self_employed | 1.1 | 1 | 1 | savings | NMB | 2 | 0 | 494.02 | none | 1 | 1 | 0 | low_burden |
Rwanda | 2,020 | rural | female | 30 | 25-34 | second | secondary | student | 19.5 | 5.8 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Nigeria | 2,020 | rural | male | 74 | 55+ | middle | none | employed_informal | 11.6 | 5.6 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Mali | 2,023 | rural | male | 33 | 25-34 | fourth | tertiary | employed_informal | 28.1 | 5.6 | 1 | savings | BDM | 2 | 0 | 985.27 | none | 0 | 0 | 0 | low_burden |
Niger | 2,024 | urban | female | 37 | 35-44 | fourth | secondary | employed_informal | 2.9 | 0.1 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Ethiopia | 2,018 | rural | male | 43 | 35-44 | highest | primary | employed_formal | 26.5 | 0.7 | 1 | savings | Awash Bank | 1 | 0 | 2,951.63 | none | 0 | 0 | 0 | low_burden |
Uganda | 2,021 | rural | female | 52 | 45-54 | fourth | tertiary | unemployed | 8.7 | 11.9 | 0 | none | none | 0 | 0 | 0 | religious | 0 | 0 | 0 | low_burden |
South Africa | 2,018 | urban | male | 36 | 35-44 | second | none | employed_formal | 0.2 | 1.3 | 1 | salary_account | FNB | 0 | 23 | 0 | none | 0 | 1 | 0 | low_burden |
Malawi | 2,021 | urban | female | 63 | 55+ | highest | none | employed_informal | 5.8 | 0.7 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Mozambique | 2,019 | urban | female | 19 | 18-24 | highest | secondary | employed_informal | 1.7 | 2 | 1 | savings | Millennium BIM | 1 | 0 | 3,128 | none | 1 | 1 | 0 | low_burden |
Niger | 2,020 | urban | female | 55 | 45-54 | second | secondary | unemployed | 4.9 | 0.4 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Mali | 2,021 | rural | female | 55 | 45-54 | lowest | secondary | student | 3 | 15.9 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Mali | 2,020 | rural | male | 48 | 45-54 | second | tertiary | unemployed | 11.1 | 3.5 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Nigeria | 2,021 | rural | female | 52 | 45-54 | fourth | primary | employed_informal | 7.5 | 7.8 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Ethiopia | 2,024 | rural | female | 60 | 55+ | highest | tertiary | self_employed | 15.1 | 8 | 1 | fixed_deposit | Dashen Bank | 1 | 0 | 1,734.99 | none | 1 | 1 | 0 | low_burden |
Zambia | 2,024 | rural | female | 69 | 55+ | fourth | none | employed_informal | 39.9 | 7 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Zambia | 2,018 | rural | female | 30 | 25-34 | second | none | student | 8.1 | 4.5 | 0 | none | none | 0 | 0 | 0 | other | 0 | 0 | 0 | low_burden |
Kenya | 2,021 | rural | female | 45 | 35-44 | lowest | primary | employed_formal | 16.4 | 3.6 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Senegal | 2,024 | urban | female | 50 | 45-54 | middle | none | student | 1.8 | 2 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Nigeria | 2,022 | rural | male | 37 | 35-44 | second | primary | unemployed | 3.7 | 10.1 | 0 | none | none | 0 | 0 | 0 | other | 0 | 0 | 0 | low_burden |
Mali | 2,019 | urban | female | 73 | 55+ | lowest | tertiary | unemployed | 3.7 | 1.1 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Niger | 2,022 | rural | female | 47 | 45-54 | lowest | secondary | unemployed | 35.4 | 2.7 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Mozambique | 2,019 | rural | female | 51 | 45-54 | lowest | secondary | employed_informal | 104.1 | 23.8 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Mali | 2,018 | rural | male | 29 | 25-34 | lowest | none | employed_informal | 31.3 | 1 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Ethiopia | 2,023 | urban | female | 41 | 35-44 | fourth | tertiary | employed_informal | 3 | 1.1 | 1 | current | Commercial Bank of Ethiopia | 1 | 0 | 131.56 | none | 0 | 1 | 0 | low_burden |
South Africa | 2,022 | rural | female | 53 | 45-54 | second | primary | employed_informal | 0.1 | 2.6 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Malawi | 2,024 | urban | female | 42 | 35-44 | second | secondary | unemployed | 1.6 | 0.9 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Tanzania | 2,020 | rural | male | 61 | 55+ | middle | secondary | self_employed | 2.1 | 4.5 | 1 | savings | CRDB | 2 | 0 | 1,072.93 | none | 0 | 0 | 0 | low_burden |
Mozambique | 2,024 | urban | male | 25 | 18-24 | highest | none | unemployed | 9.9 | 1 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Ethiopia | 2,021 | rural | male | 26 | 25-34 | fourth | secondary | unemployed | 19.3 | 5 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Uganda | 2,023 | rural | male | 37 | 35-44 | middle | tertiary | employed_informal | 40.7 | 12.1 | 1 | savings | Equity Bank | 1 | 0 | 262.37 | none | 0 | 1 | 0 | low_burden |
Zambia | 2,018 | urban | female | 36 | 35-44 | fourth | primary | employed_informal | 5.1 | 0.9 | 1 | current | Absa | 1 | 0 | 1,055.02 | none | 0 | 0 | 0 | low_burden |
Mali | 2,018 | urban | male | 64 | 55+ | fourth | secondary | employed_informal | 1.1 | 0.2 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Nigeria | 2,024 | rural | female | 67 | 55+ | fourth | tertiary | employed_formal | 8.9 | 1.6 | 1 | savings | First Bank | 0 | 6 | 0 | none | 0 | 1 | 0 | low_burden |
Malawi | 2,024 | urban | male | 44 | 35-44 | middle | primary | unemployed | 1.1 | 0.9 | 1 | savings | National Bank | 2 | 0 | 453.45 | none | 0 | 1 | 0 | low_burden |
Uganda | 2,025 | urban | male | 46 | 45-54 | middle | primary | unemployed | 1.6 | 3.3 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
Niger | 2,020 | urban | female | 34 | 25-34 | second | primary | unemployed | 0.7 | 0.1 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Zambia | 2,018 | urban | female | 48 | 45-54 | second | secondary | self_employed | 1.7 | 0.2 | 0 | none | none | 0 | 0 | 0 | trust | 0 | 0 | 0 | low_burden |
Tanzania | 2,025 | rural | male | 58 | 55+ | second | primary | unemployed | 41 | 1.4 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Ghana | 2,022 | rural | male | 59 | 55+ | second | primary | self_employed | 13.4 | 6.7 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Senegal | 2,019 | urban | female | 73 | 55+ | second | primary | student | 0.2 | 0.3 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Niger | 2,024 | rural | female | 50 | 45-54 | middle | tertiary | unemployed | 2 | 2.8 | 0 | none | none | 0 | 0 | 0 | distance | 0 | 0 | 0 | low_burden |
South Africa | 2,025 | urban | male | 37 | 35-44 | middle | tertiary | unemployed | 2.1 | 6.5 | 1 | savings | Standard Bank | 2 | 0 | 3,010.47 | none | 0 | 1 | 0 | low_burden |
Malawi | 2,020 | urban | female | 21 | 18-24 | lowest | secondary | employed_formal | 2.7 | 0.8 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Nigeria | 2,024 | rural | male | 57 | 55+ | second | tertiary | unemployed | 37.7 | 1.6 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
DRC | 2,024 | urban | female | 63 | 55+ | second | secondary | employed_informal | 10 | 2.1 | 0 | none | none | 0 | 0 | 0 | no_need | 0 | 0 | 0 | low_burden |
Rwanda | 2,022 | rural | male | 49 | 45-54 | fourth | tertiary | employed_informal | 19.8 | 19.5 | 1 | savings | Ecobank | 1 | 0 | 4,276.65 | none | 0 | 0 | 0 | low_burden |
Niger | 2,023 | rural | female | 70 | 55+ | second | none | self_employed | 12.8 | 11.2 | 0 | none | none | 0 | 0 | 0 | religious | 0 | 0 | 0 | low_burden |
Uganda | 2,020 | rural | female | 36 | 35-44 | lowest | primary | employed_informal | 0.3 | 6.5 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Tanzania | 2,025 | rural | male | 21 | 18-24 | lowest | tertiary | employed_formal | 0.3 | 7.9 | 1 | savings | Stanbic | 0 | 22 | 0 | none | 0 | 0 | 1 | low_burden |
Mali | 2,025 | urban | male | 54 | 45-54 | middle | primary | employed_informal | 9.6 | 3.3 | 1 | savings | BMCD | 0 | 12 | 0 | none | 0 | 1 | 1 | low_burden |
DRC | 2,025 | urban | male | 24 | 18-24 | lowest | primary | unemployed | 0.7 | 1.2 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Malawi | 2,023 | urban | male | 22 | 18-24 | middle | secondary | self_employed | 1.9 | 1.3 | 1 | savings | FDH Bank | 2 | 0 | 346.2 | none | 0 | 0 | 0 | low_burden |
DRC | 2,018 | rural | male | 58 | 55+ | middle | secondary | student | 0.6 | 1.1 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
DRC | 2,020 | rural | male | 42 | 35-44 | highest | primary | unemployed | 2.7 | 12.4 | 0 | none | none | 0 | 0 | 0 | cost | 0 | 0 | 0 | low_burden |
Ethiopia | 2,021 | urban | female | 52 | 45-54 | middle | primary | employed_informal | 2.2 | 0.3 | 1 | savings | Dashen Bank | 2 | 0 | 170.53 | none | 0 | 1 | 0 | low_burden |
Mozambique | 2,025 | urban | male | 60 | 55+ | lowest | primary | unemployed | 5.4 | 0.5 | 1 | current | Moza Banco | 2 | 0 | 66.78 | none | 0 | 1 | 1 | low_burden |
Tanzania | 2,022 | urban | female | 39 | 35-44 | second | none | self_employed | 5 | 3.5 | 1 | savings | Stanbic | 3 | 0 | 416.49 | none | 0 | 1 | 0 | low_burden |
Ghana | 2,022 | rural | male | 52 | 45-54 | fourth | primary | employed_informal | 25.5 | 4 | 1 | current | Absa | 2 | 0 | 535.29 | none | 1 | 1 | 0 | low_burden |
Niger | 2,019 | rural | female | 48 | 45-54 | second | secondary | student | 5.4 | 29.8 | 0 | none | none | 0 | 0 | 0 | documentation | 0 | 0 | 0 | low_burden |
Rwanda | 2,024 | rural | male | 51 | 45-54 | highest | secondary | student | 4.5 | 9.5 | 1 | current | Bank of Kigali | 1 | 0 | 682.46 | none | 0 | 0 | 1 | low_burden |
Nigeria | 2,020 | rural | female | 58 | 55+ | middle | primary | employed_formal | 10.8 | 5.9 | 1 | savings | UBA | 1 | 0 | 328.87 | none | 0 | 1 | 0 | low_burden |
Africa Synth Financial Inclusion Bank Account Ownership Africa Niger | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.
Dataset context from the existing Hugging Face card: ⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. Bank Account Ownership in Africa Synthetic dataset modeling traditional bank account ownership patterns across 15 Sub-Saharan African countries from 2018-2025. Dataset Description This dataset simulates individual-level bank account ownership and usage, capturing barriers to formal banking access and the gap between account… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger |
| Sector | economics_finance |
| Topic tags | financial-inclusion, fintech, synthetic-data, sub-saharan-africa, bank-account, synthetic |
| Modalities | tabular, text |
| Formats | csv |
| Size category | 10K<n<100K |
| Countries | Niger |
| ISO3 coverage | NER |
| Last modified on HF | 2026-04-14 22:52:49+00:00 |
| Inventory snapshot | 2026-07-16T16:00:34Z |
How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
Convert To Pandas When Tabular
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: upstream_publisher.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: Electric Sheep Africa metadata inventory
- Publisher/source attribution: Public dataset metadata
- License: CC BY 4.0
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger
- Inventory retrieved at:
2026-07-16T16:00:34Z
Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
Citation
@misc{electric_sheep_africa_africa_synth_financial_inclusion_bank_account_ownership_africa_niger_2026,
title = {Africa Synth Financial Inclusion Bank Account Ownership Africa Niger | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-synth-financial-inclusion-bank-account-ownership-africa-niger}}
}
License
Released under CC BY 4.0.
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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