Average income of small-scale food producers, by sex and indigenous status
Last updated on 1 February 2022
This indicator is currently classified as Tier II. The Food and Agriculture Organization of the United Nations (FAO) is the main Custodian agency for this indicator in cooperation with the World Bank.
Unit of measure: Average annual income of small-scale food producers (in constant PPP 2011 USD) complemented by average income of large-scale food producers (in constant PPP 2011 USD)
Why is this indicator important?
This indicator measures the incomes of small-scale producers as a means of eliminating hunger and achieving other SDGs (e.g., poverty alleviation). Ending hunger requires long-term, sustainable food production systems and resilient agricultural practices. Developing efficient and robust food production programs to the boost agricultural productivity of small-scale producers is essential to maintain food supplies, increase incomes for poor and vulnerable groups, and feed the planet. It also contributes to strengthening rural development.
By tracking the income of small-scale producers by sex, community of reference, and enterprise size, data collected for indicator 2.3.2 enables governments to shape, prioritize, and invest in policies and measures that effectively boost agricultural productivity, drive economic growth, and eliminate hunger in particular for small-scale food producers, including women, Indigenous Peoples, family farmers, and pastoralists.
How is the indicator measured and monitored?
Data and information on income of small-scale producers is limited in many countries, but better accessible compared to the information available for indicator 2.3.1. Similarly, information is often collected at household level instead of food production unit level. The indictor can be disaggregated by sex, type of enterprise, and by community of reference.
According to the metadata brief, sources of information are either agricultural surveys, or agricultural modules in integrated household surveys (e.g., LSMS-ISA) organized by the national statistical agencies, with the necessary support from the World Bank, FAO and other international agencies. FAO has been working on computing the indicator for eight developing countries in Sub-Sahara Africa based on data collected from the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) surveys. Results have not been disseminated yet. In collaboration with IFAD and the World Bank, FAO also promotes the Agricultural and Rural Integrated Surveys project (AGRISurvey) which collects relevant data on an annual basis.
By Anne Hennings, peer-reviewed by FAO.
Official indicator data
The income from on-farm production activities includes income from crop production, livestock production, fisheries and aquaculture production, and from forestry production. The indicator is computed as annual income.
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Other related indicators on Land Portal
In addition to the official indicator data, the following indicators provide information concerning the importance of agriculture in a given country or the distribution of land.
Indicator | Min-Max Number of years |
Countries / Obs | Min / Max Value |
---|---|---|---|
Agriculture - Value Added | |||
Employees in Agriculture - Female (% of female employment) | |||
GDP per capita, PPP (constant 2011 international $) |
Нумерация страниц
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Risk aversion in low income countries
Production systems in low-income developing countries are generally poorly diversified, focusing on rainfed staple crop production and raising livestock. These activities are inherently risky and investment and production decisions by farm households are therefore made within environments that are affected by risk.
Agricultural diversification and rural industrialization as a strategy for rural income growth and poverty reduction in Indochina and Myanmar
The purpose of this paper is to understand to what extent such a strategy is appropriate for the low income rice-based countries of the Indochina-Myanmar Region1 (IMR). On the one hand, the arguments in favor of agricultural diversification and agrofood based rural industrialization seem even more pressing than for the lower-middle income countries of Southeast Asia.
Livestock income, male/female animals, and inequality in rural Pakistan
This paper uses income decomposition techniques to demonstrate the importance of livestock income in improving rural income distribution. It is based on three-year household panel data (1986 to 1989) from rural Pakistan. The paper first decomposes total income among five sources: agricultural, nonfarm, livestock, rental and transfer.
Нумерация страниц
By 2030, double the agricultural productivity and incomes of small-scale food producers, in particular women, indigenous peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and non-farm employment
Indicator details
The indicator is conceptually clear, has an internationally established methodology and standards are available, but data is not regularly produced by countries.
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