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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