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Table 2 Description of the explanatory variables

From: Spatial variations in family planning demand to limit childbearing and the demand satisfied with modern methods in sub-Saharan Africa

Variable Description Source
Educational attainment Percentage of married/in-union women with demand to limit childbearing with secondary or higher education DHS
Household wealth Percentage of married/in-union women with demand to limit childbearing from richest householda DHS
Occupation Percentage of married/in-union women with demand to limit childbearing with professional/technical/managerial job DHS
Media exposure Percentage of married/in-union women with demand to limit childbearing who heard about family planning in the last few months from radio, television, newspapers or magazines DHS
Joint family planning decision making Percentage of married/in-union women with met demand to limit childbearing who jointly made decision with their partners to use contraception DHS
Area of residence Percentage of married/in-union women with demand to limit childbearing who reside in urban areas DHS
Distance to health facility Percentage of married/in-union women with demand to limit childbearing who reported distance to health as a big problem for getting medical help DHS
Husband/partner’s educational attainment Percentage of husband/partner of married/in-union women with demand to limit childbearing with secondary or higher education DHS
Husband/partner’s occupation Percentage of husband/partner of married/in-union women with demand to limit childbearing with professional/technical/managerial job DHS
Density of nurses/midwives Number of nurses and midwives per 10,000 population World Health Organization Global Health Observatory Data
Antenatal care Percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy World Bank Open Data
Out-of-pocket expenditure Percentage of total current health expenditure that is out-of-pocket payment World Health Organization Global Health Observatory Data
Gross national income per capita The gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population World Bank Open Data
  1. aA composite measure of a household’s cumulative living standard, estimated by the survey using household’s ownership of selected assets, such as televisions and bicycles; materials used for housing construction; and types of water access and sanitation facilities. It was grouped into quintiles in DHS: Poorest, Poor, Middle, Rich, and Richest