Regional Workshop on Data Disaggregation for SDGs Indicators
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This workshop builds on work on data disaggregation being undertaken by the Inter-agency and expert group on SDG indicators which focuses on ensuring the Global Indicator Framework adequately incorporates data disaggregation.
The aim of this workshop is to strengthen the capacity of national statistical offices to meet data and indicator needs for the most vulnerable by facilitating the exchange of good practices and experiences in integrating comprehensive policy requirements, using multiple dimensions in statistical output disaggregation to target vulnerable groups and enhancing analysis for use in evidence-based policy formulation.
The workshop will result in the development of training materials/guidelines for a toolkit on how to improve the production and dissemination of more detailed data and indicators to guide the implementation of the 2030 Agenda.
Agenda
List of participants
Session 1.1 Making people visible in disaggregated statistics to leave no one behind
Session 1.2 Collecting and compiling disaggregated data in the Arab region
Countries good practices
- Qatar, Developing the national SDG database
- Palestine, Collecting and compiling disaggregated data from surveys and administrative records
- Sudan, SDG Data Gap Analysis
- Oman, Census 2020
Resources
- 2019 UHC Monitoring Report
- 2019 UHC Monitoring Report_Arabic
- UNSD, Progress report
- UNSD, The gender snapshot 2019
- The progress report on the SDG indicators under FAO custodianship
- FAO and the SDGs
- The Statistical Capacity Assessment for the FAO-SDG Indicators 2018 (available in English, French and Spanish)
Session 2.1 Analyzing disaggregated data for vulnerable groups: Tools and innovation
Summary measures of inequality
Agencies tools and innovations
- WHO - Heat with focus on vulnerable groups
- FAO - Disaggregation of the SDG indicators related to food and agriculture
Countries good practices
Session 2.2 Analyzing disaggregated data for vulnerable groups: cross-tabulations (poverty, disability, migration, women, children, etc)
- ESCWA – Intersectional analysis of sex, age, location, employment and education by disability disaggregation + exercise
Countries good practices from latest surveys
- Sudan, tools used to analyze disaggregated data for vulnerable groups
- Morocco on women and girls from Census
- Palestine on women (SDG5) and disability
Session 3.1 Integrating Policy Demands on Inclusive Development with Data
Session 3.2 Reporting, communicating and improving use of disaggregated data
Countries good practices
Resources