Measuring the impact of the presence of grandmothers in a household on children’s health outcomes by wealth.

This dataset includes synthetic household sizes and end-use energy intensities for countries around the world, spanning various Shared Socioeconomic Pathways (SSP) from 1960 to 2100. Historical data up to 2021 was utilized to calibrate an XGBoost algorithm, which allows for interpolation and extrapolation of data in one-year intervals up to 2021 and in five-year intervals between 2025 and 2100. Five SSPs were predicted: SSP1, SSP2, SSP3, SSP4, and SSP5.Household sizes were predicted for each country, covering the national average, urban areas, and rural regions. Harmonized household sizes from the CORESIDENCE project (https://www.nature.com/articles/s41597-024-02964-3) were used to train an XGBoost model with customized objective function and evaluation metrics to prevent rural and urban household sizes from being both greater or smaller than the national average.Each country's end-use energy intensity for cooking, lights, appliances, and water heating was predicted using an XGBoost model. The free version of the IEA's Energy End-Uses and Efficiency Indicators (https://www.iea.org/data-and-statistics/data-product/energy-efficiency-indicators-highlights) was used.The model's predictors were obtained from the World Bank Database (https://data.worldbank.org), and future projections for each SSP of the same predictors were obtained from the Wittgenstein Centre Human Capital Data Explorer (https://dataexplorer.wittgensteincentre.org/wcde-v3/).

Source: Demographic and Health Survey (DHS)Note: The measures use household weights provided by the DHS as well as weights for household size.* The statistics for Kenya, Burkina Faso, Guinea, Mali, and Niger exclude children 15–17 because parental survival status is not available for this age group.** In columns 5–8, the denominator is limited to children living in households in which at least one adult 18+ had a positive or negative HIV test result.*** DHS estimates, HIV prevalence among adults 15–49.**** Data from the Kenya 2003 survey are used in the current table because information on parental survival status was not collected in the 2009 survey.Co-residence of Children 0–17* with HIV-infected Adults and Orphan Status, by Country**.

Source: Demographic and Health Surveys (DHS)Note: The measures use household weights provided by the DHS as well as weights for household size.* DHS estimates, HIV prevalence among adults 15–49.** Denominator is limited to children 0–17 living in households in which at least one adult aged 18+ had a positive or negative HIV test result.*** Denominator includes all children 0–17 living in households selected for HIV testing. The lower bound estimate assumes that in households in which no adult was tested, if all eligible adults were tested none would test positive.Co-residence of Children 0–17 with HIV-infected adults, by Country.

Measuring the impact of the mother’s empowerment on the child’s health outcomes by rural/urban divide.

Source: Demographic and Health Survey (DHS)Note: The measures use household weights provided by the DHS as well as weights for household size.* The statistics for Kenya, Burkina Faso, Guinea, Mali, and Niger exclude children 15–17 because information on parental co-residence is not available for this age group.** Data from the Kenya 2003 survey are used because information on parental co-residence was not collected in the 2009 survey.Among Children 0–17* Living with HIV-infected Adults, Percent Living with HIV-infected Parents.