SDG Indicator 5.a.1 - Equal tenure rights for women on agricultural land

This course has been designed to support countries in data collection, analysis and reporting for Indicator 5.a.1 "Equal tenure rights for women on agricultural land" of the 2030 Sustainable Development Goals (Equal tenure rights for women on agriculture).

Topics

SDG
Leave no one behind
SDG2: Zero hunger
SDG5: Gender equality
SDG17: Partnerships for the goals
SDG 17: Systemic Issues
Subject
Women's rights to land
Statistics
Demographic and social statistics
Gender and special population groups
Economic statistics
Agriculture, forestry, fisheries
Methodology and statistical processes
Keywords
2030 Agenda
gender equality
gender statistics
land ownership
SDG indicators

This course is primarily intended for those who play a role in data collection, analysis and reporting for Indicator 5.a.1 - Equal tenure rights for women on agricultural land.

There are four lessons in this course, ranging from approximately 30 to 40 minutes duration each:

  • Lesson 1: Introduction to indicator on equal tenure rights for women on agricultural land
  • Lesson 2: Key definitions such as agricultural population, agricultural land, land ownership etc.
  • Lesson 3: Collecting the data; recommended data sources and survey modules
  • Lesson 4: Computing the 5.a.1 Indicator

Watch this video to find out more: https://youtu.be/ubNwoFFwrfw

Download Syllabus

Target Audience

The target audience of this course includes:

  • Directors and senior staff of national statistical offices
  • Statisticians of national statistical offices
  • FAO regional statisticians
  • Policy makers or advisors
  • Representatives from legal and human rights institutions

Learning Objectives

You will learn about:

  • Experience-based food security measurement, and its role in the SDGs
  • Explanation of the key phrases used within the 5.a.1 Indicator
  • Suitable data sources to use and selection processes and questions to capture the
    reference population, including harmonization with other SDG indicators
  • Data manipulation and computing of Indicator 5.a.1

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