SDG Indicator 6.4.1 - Change in water-use efficiency over time

This course presents tools, methods and processes to monitor and report on Indicator 6.4.1 within Goal 6 of the 2030 Sustainable Development Agenda.

Topics

SDG
SDG6: Clean water and sanitation
SDG17: Partnerships for the goals
Subject
Access to water
Statistics
Demographic and social statistics
Living conditions, poverty and inequality
Environment and multi-domain statistics
Keywords
2030 Agenda
analysis
data collection
SDG Indicator 6.4.1
SDG indicators

The course provides guidance on the rationale and the main characteristics of Indicator 6.4.1, and on how to compute the two dimensions constituting the indicator: the hydrologic and the economic component. It also highlights possible challenges related to data availability, and the impact that monitoring results may have on national decision-making and identification of development policies.

The course consists of 3 lessons, ranging from approximately 35 to 55 minutes duration each:

  • Lesson 1  Introduction to SDG 6, Target 6.4 and Indicator 6.4.1
  • Lesson 2  Change in water-use efficiency over time
  • Lesson 3  Step-by-step of the monitoring process

Watch this video to find out more: https://youtu.be/8Jn3bgSOe3c

Download Syllabus

Target Audience

This course is primarily intended for those who play a role in data collection, analysis and reporting on SDG Indicator 6.4.1, as well as for people with an interest in the process. They include:

  • Decision makers, policy planners, donors
  • Program directors
  • Technical specialists in national institutions in charge of SDG monitoring, including water experts, statisticians, environmental specialists or economists

Learning Objectives

You will learn about:

  • The context of SDG 6, Target 6.4 and the positioning of Indicator 6.4.1 within the system of SDG goals and targets
  • Data requirements to compute the indicator and challenges related to their availability
  • How to compute and interpret Indicator 6.4.1
  • The importance of implementing an effective mechanism of data verification and quality control and assurance of the monitoring process

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