IPUMS-PMA Samples
Note: The current version of IPUMS-PMA contains records for female respondents and household members. Future versions will add additional record types.
| Dataset | Record1 | Round | Cases | Representative geographic level2 | Margin of error | Snapshot of Indicators | Notes |
|---|---|---|---|---|---|---|---|
| Burkina Faso 2014 | Women and household members | 1 | 9,993 | National | 2% | report (English) | |
| Urban/rural | less than 5% | report (French) | |||||
| Burkina Faso 2015 | Women and household members | 2 | 9,784 | National | 2% | report (English) | |
| Urban/rural | less than 5% | report (French) | |||||
| Burkina Faso 2016 | Women and household members | 3 | 14,918 | National | 2% | report | |
| Urban/rural | less than 5% | -- | |||||
| Burkina Faso 2016 | Women and household members | 4 | 15,151 | National | 2% | -- | |
| Urban/rural | less than 5% | -- | |||||
| Congo (DR) 2013 | Women and household members | 1 | 10,087 | Kinshasa | less than 2% | -- | Kinshasa only |
| Congo (DR) 2014 | Women and household members | 2 | 11,228 | Kinshasa | less than 2% | -- | Kinshasa only |
| Congo (DR) 2015 | Women and household members | 3 | 10,722 | Kinshasa | less than 2% | report (English) | Kinshasa only |
| report (French) | |||||||
| Congo (DR) 2015 | Women and household members | 4 | 10,820 | Kinshasa | less than 2% | -- | Kinshasa only |
| Congo (DR) 2015 | Women and household members | 4 | 7,351 | Kongo Central | less than 2% | -- | Kongo Central region only |
| Congo (DR) 2016 | Women and household members | 5 | 10,456 | Kinshasa | less than 2% | -- | Kinshasa only |
| Congo (DR) 2016 | Women and household members | 5 | 7,719 | Kongo Central | less than 2% | -- | Kongo Central region only |
| Ethiopia 2014 | Women and household members | 1 | 28,538 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| 5 regions3 | 5% | -- | |||||
| Ethiopia 2014 | Women and household members | 2 | 28,035 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| 5 regions3 | 5% | -- | |||||
| Ethiopia 2015 | Women and household members | 3 | 31,339 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| 5 regions3 | 5% | -- | |||||
| Ethiopia 2016 | Women and household members | 4 | 31,563 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| 5 regions3 | 5% | -- | |||||
| Ghana 2013 | Women and household members | 1 | 16,496 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Ghana 2014 | Women and household members | 2 | 15,996 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Ghana 2014 | Women and household members | 3 | 16,995 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Ghana 2015 | Women and household members | 4 | 18,212 | National | less than 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Ghana 2016 | Women and household members | 5 | 15,733 | National | less than 2% | -- | |
| Urban/rural | less than 3% | -- | |||||
| India 2016 | Women and household members | 1 | 23,941 | Rajasthan | 2% | -- | Rajasthan region only |
| Urban/rural | 3% | -- | |||||
| Indonesia 2015 | Women and household members | 1 | 48,073 | National | less than 2% | -- | |
| Urban/rural | less than 3% | -- | |||||
| South Sulawesi | less than 3% | -- | |||||
| Makassar district | 5% | -- | |||||
| Kenya 2014 | Women and household members | 1 | 18,870 | National | less than 3% | report | |
| Urban/rural | 3% | -- | |||||
| 9 counties4 | 5% | -- | |||||
| Kenya 2014 | Women and household members | 2 | 20,318 | National | less than 3% | report | |
| Urban/rural | 3% | -- | |||||
| 9 counties4 | 5% | -- | |||||
| Kenya 2015 | Women and household members | 3 | 19,729 | National | less than 3% | report | |
| Urban/rural | 3% | -- | |||||
| 9 counties4 | 5% | -- | |||||
| Kenya 2015 | Women and household members | 4 | 20,516 | National | less than 3% | report | |
| Urban/rural | 3% | -- | |||||
| 9 counties4 | 5% | -- | |||||
| Kenya 2016 | Women and household members | 5 | 26,018 | National | less than 3% | -- | |
| Urban/rural | 3% | -- | |||||
| 9 counties4 | 5% | -- | |||||
| Nigeria 2014 | Women and household members | 1 | 11,591 | Kaduna | less than 2-3% | report | Kaduna only |
| Urban/rural | less than 3% | -- | |||||
| Nigeria 2014 | Women and household members | 1 | 3,879 | Lagos | less than 2-3% | report | Lagos only |
| Urban/rural | less than 3% | -- | |||||
| Nigeria 2015 | Women and household members | 2 | 12,662 | Kaduna | less than 2-3% | -- | Kaduna only |
| Urban/rural | less than 3% | -- | |||||
| Nigeria 2015 | Women and household members | 2 | 6,900 | Lagos | less than 2-3% | -- | Lagos only |
| Urban/rural | less than 3% | -- | |||||
| Nigeria 2016 | Women and household members | 3 | 51,292 | National | less than 2% | -- | Nation-wide sampling |
| Urban/rural | less than 3% | -- | |||||
| 7 states5 | less than 2-3% | -- | |||||
| Niger 2015 | Women and household members | 1 | 6,270 | Niamey | 3% | -- | Niamey only |
| Urban/rural | less than 3% | -- | |||||
| Niger 2016 | Women and household members | 2 | 15,927 | National | less than 2% | -- | Nation-wide sampling |
| Urban/rural | less than 3% | -- | |||||
| Niger 2016 | Women and household members | 3 | 6,386 | Niamey | 3% | -- | Niamey only |
| Urban/rural | less than 3% | -- | |||||
| Uganda 2014 | Women and household members | 1 | 19,620 | National | 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Uganda 2015 | Women and household members | 2 | 18,780 | National | 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Uganda 2015 | Women and household members | 3 | 18,403 | National | 2% | report | |
| Urban/rural | less than 3% | -- | |||||
| Uganda 2016 | Women and household members | 4 | 20,252 | National | 2% | report | |
| Urban/rural | less than 3% | -- | |||||
- Record: The unit of analysis for the dataset. Currently, IPUMS-PMA has released data files where each record represents a person. In the near future, IPUMS-PMA will release data files where each record is a service delivery point for family planning services.
- Representative geographic level: Based on the sampling design and number of cases, IPUMS-PMA samples are representative to certain geographic levels when using the provided weights. The margin of error increases when analyzing smaller geographic units. Most countries are representative at the national and urban/rural level, but others are only representative for certain geographic regions.
- Addis, Amhara, Oromiya, Tigray, and Southern Nations, Nationalities, and Peoples' Region (SNNPR)
- Bungoma, Kericho, Kiambu, Kilifi, Kitui, Nairobi, Nandi, Nyamira, and Siaya
- Anambra, Kaduna, Kano, Lagos, Nasarawa, Rivers, and Taraba
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