The Rwanda Financial Map of Financial Inclusion investigates the landscape for financial services providers in Rwanda to provide insight into access to finance and financial inclusion within Rwanda. The site provides locations of bank branches, microfinance institutions, Umurenge SACCOs and mobile banking agents. For more on this dataset, please see our blog post.
Data on the location of institutions and branches have been collected using primary sources and web scraping to extract the numbers and locations of financial services from publicly available data, consolidated into a single database.
Population estimates are provided for the second-level administrative area (district municipalities) for the year 2010. The population estimates were obtained and prepared by the U.S. Census Bureau for the U.S. Government President’s Emergency Plan for AIDS Relief (PEPFAR) HIV Spatial Data Repository. Estimates are consistent with midyear national projections from the U.S. Census Bureau International Database. Additional metadata provided by the HIV Spatial Data Repository.
Poverty ratio estimates for first-level administrative divisions (province) were obtained from the Multidimensional Poverty Index constructed by the Oxford Poverty & Human Development Initiative.
Data about financial access and usage were provided through the results of the FinScope Rwanda 2008 survey. The percent “never banked” by province is an estimated measure of the number of individuals who have never used any formal or informal financial services. The percent of “outside remittances” is an estimated measure of the number of individuals who receive income from family members living abroad. Data was obtained from the Finscope Rwanda 2008 survey.
This map uses two additional measures of accessibilty, locations per 100,000 and locations per 1,000km2. Locations per 100,000 adults was derived using the 2010 population estimates provided by the U.S. Census Bureau. The number of total financial institutions was divided by the number of individuals 15 years or older based on the age groupings by second-level administrative unit (district municipalities) provided in the population estimates. Locations per 1,000km2 was calculated using the derived area of each administrative unit. The total number of financial institutions was divided by the area (km2) of the second-level administrative unit (district municipalities).