Year Published
- 2008 (0)
- 2009 (0)
- 2010 (0)
- (-) Remove 2011 filter 2011
- 2012 (0)
- 2013 (0)
- (-) Remove 2014 filter 2014
- (-) Remove 2015 filter 2015
- (-) Remove 2016 filter 2016
- (-) Remove 2017 filter 2017
- 2018 (0)
- (-) Remove 2019 filter 2019
- 2020 (0)
- 2021 (0)
Research Topics
Populations
Types of Research
- Data Analysis (2) Apply Data Analysis filter
- Literature Review (1) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (2) Apply East Africa Region and Selected Countries filter
- Global (0)
- (-) Remove South Asia Region and Selected Countries filter South Asia Region and Selected Countries
- Southern Africa Region and Selected Countries (0)
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- West Africa Region and Selected Countries (2) Apply West Africa Region and Selected Countries filter
Dataset
- ASTI (0)
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (1) Apply LSMS & LSMS-ISA filter
- Other Datasets (2) Apply Other Datasets filter
Current search
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- (-) Remove Information & Mobile Technology filter Information & Mobile Technology
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove 2015 filter 2015
- (-) Remove Women filter Women
- (-) Remove 2016 filter 2016
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove 2019 filter 2019
- (-) Remove 2014 filter 2014
- (-) Remove Political Economy & Governance filter Political Economy & Governance
- (-) Remove South Asia Region and Selected Countries filter South Asia Region and Selected Countries
- (-) Remove 2017 filter 2017
- (-) Remove 2011 filter 2011
In this report we analyze three waves nationally-representative household survey data from Kenya, Uganda, Tanzania, Nigeria, Pakistan, Bangladesh, India, and Indonesia to explore sociodemographic and economic factors associated with mobile money adoption, awareness, and use across countries and over time. Our findings indicate that to realize the potential of digital financial services to reach currently unbanked populations and increase financial inclusion, particular attention needs to be paid to barriers faced by women in accessing mobile money. While policies and interventions to promote education, employment, phone ownership, and having a bank account may broadly help to increase mobile money adoption and use, potentially bringing in currently unbanked populations, specific policies targeting women may be needed to close current gender gaps.
This report provides a summary of findings from six Financial Inclusion Insights (FII) data analysis reports conducted by various agencies for the Bill & Melinda Gates Foundation (BMGF). These reports investigate barriers to financial inclusion and use of digital financial services (DFS) in Bangladesh, India, Kenya, Nigeria, Pakistan, Tanzania, and Uganda. We compile comparable gender-specific statistics, summarize the authors’ findings to determine commonalities and differences across countries, and highlight gender-specific conclusions and recommendations provided in the studies.