A major gap in the ability of formal financial services to deliver value for low-income families is a general lack of information and understanding of their preferences, behaviours and needs. To address this gap, FSD Kenya in partnership with BFA and Digital Divide Data undertook a Financial Diaries study between 2012 and 2013. The Kenya Financial Diaries tracked […]
This short note profiles how Carol – one of the participants in the 2012-13 Kenya Financial Diaries project – manages to leverage her average monthly income of Ksh 4000 into a permanent home for her family.
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; (2) Usage of informal groups – reasons why they are formed, why they […]
This report was undertaken by the Central Bank of Kenya’s National Payments System Division, FSD Kenya and the Consultative Group to Assist the Poor (CGAP) to better understand the emerging development of mobile money in Kenya. The findings are based on a survey of 3,000 households that was carried out from the 26th of August […]
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 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 […]