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

Course

Self-paced e-learning

UN Partner

Food and Agriculture Organization of the United Nations

Effort: 3 hours
Level: Introductory; Intermediate
Language: English; French; Spanish
Venue: Online
Certificate: Yes
Price: Free

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).

Sustainable Development Goals: 2030 Agenda; No poverty; Zero hunger; Gender equality; Reducing inequalities
Statistics: Gender and special population groups; Methodology and statistical processes; Agriculture, forestry, fisheries
Subject: Women's rights to land
Keywords: 2030 Agenda; land ownership; gender equality; gender statistics; tenure rights

About this course

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