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Self-Help Groups (SHGs) in Sub-Saharan Africa can be defined as mutual assistance organizations through which individuals undertake collective action in order to improve their own lives. “Collective action” implies that individuals share their time, labor, money, or other assets with the group. In a recent EPAR data analysis, we use three nationally-representative survey tools to examine various indicators related to the coverage and prevalence of Self-Help Group usage across six Sub-Saharan African countries. EPAR has developed Stata .do files for the construction of a set of self-help group indicators using data from the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA), Financial Inclusion Index (FII), and FinScope.
We compiled a set of summary statistics for the final indicators using data from the following survey instruments:
- Ethiopia:
- Ethiopia Socioeconomic Survey (ESS), Wave 3 (2015-16)
- Kenya:
- Kenya FinScope, Wave 4 (2015)
- Kenya FII, Wave 4 (2016)
- Nigeria
- Nigeria FII, Wave 4 (2016)
- Rwanda:
- Rwanda FII, Wave 4 (2016)
- Tanzania:
- Tanzania National Panel Survey (TNPS), Wave 4 (2014-15)
- Tanzania FinScope, Wave 4 (2017)
- Tanzania FII, Wave 4 (2016)
- Uganda:
- Uganda FinScope, Wave 3 (2013)
- Uganda FII, Wave 4 (2016)
The raw survey data files are available for download free of charge from the World Bank LSMS-ISA website, the Financial Sector Deepening Trust website, and the Financial Inclusion Insights website. The .do files process the data and create final data sets at the household (LSMS-ISA) and individual (FII, FinScope) levels with labeled variables, which can be used to estimate summary statistics for the indicators.
All the instruments include nationally-representative samples. All estimates from the LSMS-ISA are household-level cluster-weighted means, while all estimates from FII and FinScope are calculated as individual-level weighted means. The proportions in the Indicators Spreadsheet are therefore estimates of the true proportion of individuals/households in the national population during the year of the survey. EPAR also created a Tableau visualization of these summary statistics, which can be found here.
We have also prepared a document outlining the construction decisions for each indicator across survey instruments and countries. We attempted to follow the same construction approach across instruments, and note any situations where differences in the instruments made this impossible.
The spreadsheet includes estimates of the following indicators created in our code files:
Sub-Populations
- Proportion of individuals who have access to a mobile phone
- Proportion of individuals who have official identification
- Proportion of individuals who are female
- Proportion of individuals who use mobile money
- Proportion of individuals who have a bank account
- Proportion of individuals who live in a rural area
- Individual Poverty Status
- Two Lowest PPI Quintiles
- Middle PPI Quintile
- Two Highest PPI Quintiles
Coverage & Prevalence
- Proportion of individuals who have interacted with a SHG
- Proportion of individuals who have used an SHG for financial services
- Proportion of individuals who depend most on SHGs for financial advice
- Proportion of individuals who have received financial advice from a SHG
- Proportion of households that have interacted with a SHG
- Proportion of households in communities with at least one SHG
- Proportion of households in communities with access to multiple farmer cooperative groups
- Proportion of households who have used an SHG for financial services
Characteristics
In addition, we produced estimates for 29 indicators related to characteristics of SHG use including indicators related to frequency of SHG use, characteristics of SHG groups, and individual/household trust of SHGs.
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.
Yam is a major staple in West and Central Africa and an important supplementary food in East Africa. In Sub-Saharan Africa (SSA), virtually all yams are produced for human consumption, with women responsible for processing yams for consumption. This brief provides an overview of the role of women in yam production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that though yam was traditionally considered a man’s crop, it is clear that women farmers contribute greatly to yam cultivation, especially during weeding, harvesting, and processing. Propagation of improved varieties with resistance to pests and diseases like yam mosaic disease has great potential to benefit women farmers. Increased yields and lower post-harvest losses will increase household food security. However, because yams extract high amounts of nutrients from the soil, soil and land management techniques are necessary to ensure future gains in yield. Women’s groups serve as potential venues for dissemination of new yam cultivation and processing technologies. Additionally, women’s groups can undertake new propagation techniques as income generating activities. Women farmers need increased extension efforts to fully benefit from technology improvements.
Though not indigenous to Sub-Saharan Africa (SSA), cassava plays, to varying degrees, five major roles in African development: famine-reserve crop, rural food staple, cash crop for urban consumption, livestock feed, and industrial raw material. Cassava production in SSA was historically a significant staple crop for smallholder farmers and continues to be the second most important food crop in Africa (after maize) in terms of calories consumed. Subsistence crops such as cassava are often considered women’s crops with the standard explanation that women are responsible for feeding the family and thus prefer to grow crops for the household. This brief reviews the role that women play in cassava production, and considers ways to better address gender issues from planting through post-harvest production. We find that the potential gains to cassava production made possible through improved technology will not be fully realized without the participation of women farmers and without women farmers having access to credit, markets, and extension services. Additionally, evidence from SSA suggests that labor for harvesting and processing, rather than labor for weeding, has become the key labor constraint for cassava, and addressing this concern may be more important than further yield increases for raising production levels.
The millets, a group of small-seeded grasses indigenous to Africa, are an extremely important staple food in resource-poor regions of Sub-Saharan Africa (SSA). Millet requires few inputs, suffers less from insect pests and disease than other grains, and can tolerate areas even too hot and dry for sorghum. These characteristics make millet an essential component of food security and risk management strategies for many Africans, though both consumption and production per capita of millet has declined in the last 20 years as farmers have shifted toward maize and rice production. This brief provides an overview of the role of women in millet production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that the shift away from millet may result in poorer nutrition and increased time burden for women where they must find alternatives to millet fuel, but that little is known about these consequences. Investing in improved varieties that account for both men’s and women’s preferences, introducing labor-saving technology, and increasing market access all have the potential to increase millet’s production and consumption on the continent.
Sorghum grows well in arid and semi-arid agroecological zones and is thus one of the most important cereals in the Sahel region of Sub-Saharan Africa (SSA). Both men and women cultivate sorghum primarily for household consumption, though women are nearly exclusively responsible for post-harvest production of the grain, including brewing and selling sorghum beer. This brief provides an overview of the role of women in sorghum production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that improved sorghum varieties have the potential to greatly increase sorghum yields in SSA by alleviating cultivation threats from striga, pests, and drought. Because women farmers are the primary cultivators of sorghum, they stand to benefit most from these improved varieties. However, low adoption rates of new technologies suggest that more resources need to be dedicated to extension efforts and informal seed distribution networks that include women farmers. Post-harvest processing of sorghum is both time and labor intensive and is causing many women farmers to transition to maize or rice. Finally, increased demand for sorghum as a biofuel stock may not translate into gains for women farmers as expected, because women farmers tend to lack input resources, and women farmers often lose control over crops as they transition to cash crops.
In Sub-Saharan Africa (SSA), maize alone provides an estimated one third of the mean caloric intake and in 2006, accounted for 21% of all harvested food crops, making it the single most important food crop in the region. In addition, maize is also used as feedgrain and fodder, adding to its importance in integrated smallholder farming systems in SSA. In general, women are the main producers of staple crops such as maize. Understanding the gender dimensions of maize is particularly challenging because maize is used as both a subsistence and cash crop, and may be considered either a male or female crop depending on farmer circumstances and how the particular variety is promoted. This brief provides an overview of the role of women in maize production, and provides a framework for analyzing barriers to women and technology’s impact on women throughout the cropping cycle. We find that lower access to factors such as extension access, education level, land, and labor contribute to female’s lower rate of maize technology adoption. Understanding women’s disproportionate access to resources and how improved technology may change allocation of resources should help project developers improve both women’s and men’s productivity.
In the last half century, the increased opportunity cost of women’s time in Sub-Saharan Africa (SSA) has led to remarkable growth in the consumption of wheat and other easy-to-prepare staples. Wheat tends to be grown and processed on a large scale in SSA. Ethiopia (SSA’s largest producer of wheat) is the exception, where smallholders are responsible for 76% of total production. This brief provides an overview of the role of women in wheat production, and provides a framework for analyzing technology’s impact on women throughout the cropping cycle. We find that many constraints exist to adoption of improved wheat varieties by women. A review of improved wheat variety adoption in the developing world found that it takes 5-10 years after breeding to the release and another 5-10 years for full adoption, but this length of time has been found to be reduced with the use of participatory breeding, varietal selection, and gender analysis. By including women in every stage of development and planning of new technologies, programs can become more aware of the needs of targeted women and therefore, increase adoption rates and improve the productivity of men and women in wheat farming.