Datasets

A panel household survey designed to track the adoption and impact of M-PESA in Kenya.

A range of factors influence which financial services people use. These include the factors of cost and distance as well as those such as literacy, income source and gender. In order to develop policies to expand access and use, policy-makers need to have an understanding of these factors – socio-economic, demographic and geographic – and […]

The primary objective of this report was to pre-test some concepts for the FinAccess 2009 survey. The concepts include: (1) Financial literacy – familiarity with product terminology such as collateral, interest rates, bad debt, mortgage, credit bureau, insurance, life insurance, investment and shares; ƒ (2) Usage of informal groups – reasons why they are formed, why they […]

Point locations of financial access points in 2013.

The objective of this report is to review existing sources of detailed data and analysis about the banking sector in Kenya, assess the demand for and uses of these and make pragmatic recommendations about how any unmet demand could be met. The overall conclusion of this report is that generally the base data in Kenya […]

The objectives of FinAccess 2006 were to: (1) provide information to policy makers about the main barriers to access, geographic or socio-economic for instance, providing an impetus for necessary reforms, (2) provide information to the private sector about market opportunities, and in particular insight into the types of products that would suit newly identified, unserved market segments, […]

The Agent Network Accelerator survey focuses on identifying the operational determinants of success in agent network management in the following areas: quality of provider support, agent & agency demographics, core agency operations, liquidity management and business model viability. The 2014 dataset is not yet available publicly, but the 2014 findings can be accessed at the […]

The Financial Inclusion Insights Tracker survey (FIITS) data captures data on how Kenyan access mobile communications and digital financial services, the key patterns and behaviors that mobile money users display, how demographic factors influence demand and uptake of mobile money as well as barriers to adoption and usage. Estimates from the Kenya FIITS are representative […]

The Financial Inclusion Insights Tracker survey (FIITS) data captures data on how Kenyan access mobile communications and digital financial services, the key patterns and behaviors that mobile money users display, how demographic factors influence demand and uptake of mobile money as well as barriers to adoption and usage. Estimates from the Kenya FIITS are representative […]

The Kenya FinAccess demand survey measures access to and demand for financial services among adults in a nationally representative survey. The sample for the 2013 survey was based on the National Sample Survey and Evaluation (NASSEP V) developed in 2012. Estimates from the 2006 survey are statistically reliable for adults above the age of 16, […]