Populations

EPAR TECHNICAL REPORT #362
Self Help Groups Prevalence and Coverage
Publication Date: 01/16/2019
Type: Data Analysis
Abstract

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.

Indicator Cross-Comparisons, All Countries Pivot Tables
EPAR Research Brief #167
LSMS-ISA Tanzania Section B: Median Farmer Profile
Publication Date: 10/07/2011
Type: Data Analysis
Abstract

This is "Section B" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of household characteristics by gender and by administrative zone, considering landholding size, number of crops grown, yields, livestock, input use, and food consumption.

Full Report
EPAR Technical Report #164
LSMS-ISA Tanzania Section E: Livestock & By-Products
Publication Date: 10/04/2011
Type: Data Analysis
Abstract

This is "Section E" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of livestock and livestock by-product characteristics by gender of household head and by zones, as well as our analyses of livestock disease, vaccines, and theft.

Full Report
EPAR Technical Report #161
LSMS-ISA Tanzania Section D: Farm Characteristics, Crops, and Productivity
Publication Date: 10/01/2011
Type: Data Analysis
Abstract

This is "Section D" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of basic farm characteristics, land and labor productivity, crop sales, yield measures, intercropping, and pre- and post-harvest losses, including comparisons by gender of household head and by zone.

Full Report
EPAR Technical Report #154
LSMS-ISA Tanzania Section A: Introduction and Overview
Publication Date: 09/30/2011
Type: Data Analysis
Abstract

This is the introductory section of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present an overview of report sections, as well as an executive summary of findings on crops and livestock, constraints to productivity, and productivity and nutrition outcomes.

Full Report
EPAR Technical Report #160
LSMS-ISA Tanzania Section C: Household Characteristics and Education
Publication Date: 09/30/2011
Type: Data Analysis
Abstract

This is "Section C" of a report that presents estimates and summary statistics from the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), part of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). We present our analyses of the basic characteristics of household heads and other household members, as well as our analyses of education for adults, children, and household heads by gender and zone.

Full Report
EPAR Technical Report #134
Gender & Agriculture in Tanzania
Publication Date: 04/10/2011
Type: Literature Review
Abstract

Agriculture is a principal source of livelihood for the Tanzanian population. Agriculture provides more than two-thirds of employment and almost half of Tanzania‘s GDP. Women play an essential role in agricultural production. The sector is characterized as female-intensive, meaning that women comprise a majority of the labor force in agriculture (54%). This brief reviews the academic and grey literature on gender and agriculture in Tanzania, providing an overview on the structure of households, the household structure of agricultural production, information on women’s crops, and gender and land rights in Tanzania. We conclude with a summary of challenges to women in agriculture, and of potential implications for women of advancements in production technology and other economic opportunities at the household level. 

Full Brief
EPAR Technical Report #82
Poultry Markets in West Africa: Overview & Comparative Analysis
Publication Date: 07/16/2010
Type: Research Brief
Abstract

EPAR’s Poultry Markets in West Africa series provides an overview of poultry market trends across West Africa and compares the opportunities for poultry sector development in Benin, Burkina Faso, Côte d’Ivoire, Ghana, Mali, Niger, Nigeria, Senegal and Sierra Leone. The briefs in this series provide detailed country-specific poultry market analyses. The primary resources for these analyses included many reports prepared in response to the avian influenza epidemic, which may explain some of the emphasis on the importance of biosecurity in the available literature. We find that the West African poultry sector faces high production costs, safety concerns due to lack of sanitary controls, and technical constraints in processing and marketing. In addition to biological issues, the lack of breeders, marketing, and processing technology present technical constraints to poultry sector growth.  

Research Brief
EPAR Research Brief #91
Poultry Markets in West Africa: Benin
Publication Date: 07/09/2010
Type: Research Brief
Abstract

This report provides an overview of poultry market trends in Benin as compared to the wider West African region. In Benin, live chickens, hens, poultry meat, and eggs for consumption are subject to the 20 percent Common External Tariff (CET), which facilitates an influx of cheap poultry imports from the European Union (EU). Live turkeys and other poultry, reproducers, and hatching eggs are subject to a 5 percent tariff. In the late 1990s, Benin experienced an influx of cheap poultry products primarily from the EU. By 2002, annual poultry imports reached approximately 24,000 tons, more than the poultry imports of any other country in West Africa.  In 2004 and 2005, Benin banned imports of poultry and poultry by-products from countries affected by avian influenza. Current information about the poultry industry in Benin is limited. The primary sources for this analysis are a FAO poultry sector review from 2006, a poultry sector project report from the New Partnership for African Development (NEPAD), and a 2006 assessment by the Benin Ministry of Agriculture, Livestock, and Fishing. We find that the poultry sector plays an important economic, social and cultural role in Benin. Poultry and egg production is a major contributor to the agricultural sector and is an important source of nutrition and income for Beninese households. The poultry sector in Benin has the potential to improve the nutritional wellbeing and income security of a large percentage of the population. Traditional smallholders produce the majority of poultry products domestically; however, current production is limited due to low productivity, poor biosecurity, and lack of inputs. We find that a reduction of foreign imports and greater institutional support for the industry may help domestic producers reach their potential.

Research Brief
EPAR Research Brief #92
Poultry Markets in West Africa: Sierra Leone
Publication Date: 07/07/2010
Type: Research Brief
Abstract

This report provides an overview of poultry market trends in Sierra Leone as compared to the wider West African region. Sierra Leone did not adopt the Common External Tariff (CET) until 2005, however 2004 tariff rates were already on par with official CET rates. The tariff for live chickens, hens, poultry meat and eggs for consumption remains at 20 percent, which facilitates an influx of cheap poultry imports from Europe. Live turkeys and eggs for hatching are subject to a 5 percent tariff. There is little public information available regarding poultry production in Sierra Leone. The primary sources for this analysis are Government of Sierra Leone documents responding to the avian influenza epidemic in the West African region. This report provides a brief overview of consumption and consumer preferences, domestic production, trade, the political environment, and opportunities for future poultry development in Sierra Leone. Because of the small amount of information regarding poultry production in Sierra Leone, we find that further information is necessary to understand the scope of opportunity for poultry market development.

Research Brief