Thumbnail Image

Measuring SDG indicator 5.a.1: Individual’s land ownership over agricultural land using data from the Rural Livelihoods Information System (RuLIS)

RuLIS brief










Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (stand-alone)
    Measuring Individuals’ Rights to Land: An Integrated Approach to Data Collection for SDG Indicators 1.4.2 and 5.a.1 2019
    Land is a key economic resource inextricably linked to access to, use of and control over other economic and productive resources. Recognition of this, and the increasing stress on land from the world’s growing population and changing climate, has driven demand for strengthening tenure security for all. This created the need for a core set of land indicators that have national application and global comparability, which culminated in the inclusion of indicators 1.4.2 and 5.a.1 in the Sustainable Development Goals (SDGs) agenda. Having indicators on land ownership and rights in the SDG framework is an opportunity to routinely generate comparable, sex-disaggregated data to support evidence-based decision making on responsible land governance for sustainable development. The custodians of SDG indicators 1.4.2 (UN-Habitat and the World Bank) and 5.a.1 (FAO) have joined forces to develop a standardized and succinct survey instrument designed to collect the essential data for computation of both indicators simultaneously. As the data collection requirements for each indicator largely overlap, great gains in efficiency are possible by implementing a joint module in existing survey questionnaires. This document aims to facilitate the successful, efficient, and cross-country comparable data collection for computation of SDG indicators 1.4.2 and 5.a.1 in line with the methodologies approved by the IAEG-SDGs. The survey instrument discussed in this document was designed with an eye for the integration of essential questions for both indicators into existing survey instruments, with the possibility of stand-alone implementation. Use of the proposed module encourages the standardization of indicator definitions and data.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Gender and age dimensions in rural agricultural employment: analysis using Rural Livelihoods Information System (RuLIS)
    RuLIS brief
    2021
    Also available in:
    No results found.

    RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the surveys that are processed as part of the RuLIS database project, this brief explores patterns and trends in rural employment for women and youth with a focus on agriculture in 16 low-income and lower-middle-income countries around the world: 11 from sub-Saharan Africa, two from East Asia and the Pacific, two from Latin America and the Caribbean, and one from Central Asia.
  • Thumbnail Image
    Brochure, flyer, fact-sheet
    Adoption of farm inputs, mechanization, irrigation and gender gaps in sub-Saharan Africa: insights from the Rural Livelihoods Information System (RuLIS)
    RuLIS brief
    2021
    Also available in:
    No results found.

    RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on the observations made in the adoption of agricultural inputs, along with improved technology such as irrigation, and mechanised tools among crop farm households in sub-Saharan Africa.

Users also downloaded

Showing related downloaded files

No results found.