United States - Age Dependency Ratio: Older Dependents to Working-Age Population: All Income Levels for Sub-Saharan Africa was 5.65369 % of Working-Age Population in January of 2023, according to the United States Federal Reserve. Historically, United States - Age Dependency Ratio: Older Dependents to Working-Age Population: All Income Levels for Sub-Saharan Africa reached a record high of 5.89952 in January of 1988 and a record low of 5.43770 in January of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Age Dependency Ratio: Older Dependents to Working-Age Population: All Income Levels for Sub-Saharan Africa - last updated from the United States Federal Reserve on October of 2025.

In 2023, the age dependency ratio in Africa was **** percent. This meant that there were around ** people aged 0-14 years and 65 years and older per 100 working-age population (aged 15-64 years). The ratio on the continent generally declined from 2000 onwards, determining a reduced burden for the working-age population.

The “rurality index” represents the level of dependence, thus fragility, of a certain region to agriculture and rural means of livelihood in 2010. A population strongly dependent from agriculture is subject to suffer larger consequences from agriculture productivity drop due to climatic alteration than a population less dependent by rural livelihood means. The index results from the first cluster of the Principal Component Analysis preformed among 14 potential variables. The analysis identify four dominant variables, namely “rural population density”, “dietary supply”, “dependency ratio” and “agriculture share GDP”, assigning a weight of 0.22 to the “rural population density” and 0.26 to the other three variables. Before to perform the analysis the variable “rural population density” was log transformed to shorten the extreme variation and then with the other variables were score-standardized (converted to distribution with average of 0 and standard deviation of 1; “dietary supply” with inverse method) in order to be comparable. The 5 arc-minutes grid “rural population density” of 2000 was collected from FAO GeoNetwork, sampled at 0.5 arc-minutes and then the values were adjusted in order to have national rural population totals equal to the 2010 values reported by the World Urbanization Prospects, the 2011 Revision. The 0.5 arc-minutes grid “dependency ratio” was calculated from the 2010 age distribution population for Africa produced by Worldpop Project computing the number of people with less than 15 years old or older than 65 years old per 100 people. The values were adjusted to the country total reported by the UN Population and Demographic Office estimation (World Population Prospect - the 2012 Revision). The country based value for “agriculture share GDP” and “dietary supply” were collected from World Bank and FAO statistics. The values reported are the average of the period 2008-2012. Tabular data were linked by country to the national boundaries shapefile (FAO/GAUL) and then converted into raster format (resolution 0.5 arc-minute). Rural population, or population with large number of dependent people are more fragile (i.e. sensible) to climatic stress, due to impact on food production. Similarly, high reliance on agriculture’s contribution to national GDP, makes country more susceptible to climate risk. Finally, populations with scarce dietary supply are more sensitive to climate impact on food production, because already affected by food supply concerns. This dataset has been produced in the framework of the “Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)” project, Work Package 4 (WP4). More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.