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Measuring the SDGs in OECD
Regions and Cities
1st OECD Roundtable of Cities and Regions for SDGs - March 7, 2019
Paolo Veneri
OECD/CFE
Objectives
• Provide a framework for (and with) Regions and Cities to use an
SDG approach in policy making
• Collect and produce SDGs indicators for regions and cities by:
- maximising coverage and international comparability
- building on already existing OECD work
• Enhance the use and impact of indicators through a data
visualisation tool
On-going OECD work on measuring SDGs
progress in regions and cities
“SDG indicators should be disaggregated, where relevant, by income, sex, age,
race, ethnicity, migratory status, disability and geographic location” - IAEG-SDG
• Mapping the UN Global Indicator Framework for SDGs
– Building on the OECD Regional and Metropolitan databases (but not only)
– When UN indicator not available look for proxies (available or to produce)
• Which Regions and Cities?
– Regions: 400 OECD TL2 Regions + TL2 Regions of 5 LAC countries, 5 EU28 countries,
Tunisia and Russia
– Cities: about 650 OECD Functional Urban Areas (>250K population)
– TL3 and Administrative cities when easily available and relevant
What and at which subnational levels to measure?
• Beyond Goal 11 on “Cities and human settlements” and Goal 10
looking at “Inequalities within Countries”; many Targets and
Indicators have an important subnational component, such as:
– For being a competence/jurisdiction of Local/Subnational government
• 1.5.4 Local government implementing a disaster risk reduction strategy
• 5.5.1 Proportion of seats held by women in local governments
– Due to potential important regional disparities within and/or across
countries
• 1.2.1 People living in relative poverty
• 8.5.2 Unemployment rates, by sex and age
• 16.1.1 Homicides per 100,000 people
• 8.1.1 Annual growth rate of real GDP per capita
• 11.6.2 Exposure to air pollution (PM2.5)
Relevant SDG Targets and Indicators for OECD
Regions and Cities
Metropolitan database
Building on the existing database
- 650 metropolitan areas in OECD
countries
- Global city definition work: extending the
coverage to the globe
- Unique tool to compare cities across
countries
Regional database
- Annual data collection from OECD countries
- Large set of well-being indicators
Large disparities within countries in Relative poverty
rates for both Regions AND Cities
Regions
Cities
% of people with household income below half the national median household income, circa 2015
Bridging the data gaps
• Statistical questionnaire filled by countries
– Goal 3: Obesity rate
– Goal 4: Pupils and students enrolment
– Goal 5: Women victims of physical or sexual violence (%); Women Mayors (%)
– Goal 7: Final energy consumption per capita
– Goal 6: Population connected to at least secondary wastewater treatment (%)
• Modelled indicators from other sources (in progress)
– Goal 16, Feeling of Safety (%) (e.g. survey data)
– Goal 11, Growth in built-up area (e.g. global gridded data)
– Goals 14 and 15, protected terrestrial and maritime zones (i.e. World Database on
Protected Areas)
Example other sources: Grids and geospatial information
Average built-up area (square metres) per capita, 2014
OECD Visualisation tool
• Main objective
• Allowing citizens, policy-makers and other stakeholders to identify the
distance of their city to the SDGs in an intuitive and easy way
• Features
• Provides comparisons to peer regions or cities and national averages
• Allows regions and cities to identify alike peers with similar or better SDGs
outcomes
• Coverage
• Around 400+ OECD TL2 Regions and 600+ OECD FUAs
• Around 80 indicators for TL2 Regions; pending for Cities
Challenges ahead for SDG measurement at
subnational level
• Indicators’ coverage
• Relevance of available indicators for policy makers at
different levels (regional, metropolitan, municipal, etc.)
• Combining official indicators with modelled ones
• Lower data availability for cities
Thank you!
Contacts:
RegionStat@oecd.org
Paolo.VENERI@oecd.org
Visit the updated web-sites:
www.oecdregionalwellbeing.org
https://measuringurban.oecd.org/#

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Paolo Veneri- Measuring the SDGs

  • 1. Measuring the SDGs in OECD Regions and Cities 1st OECD Roundtable of Cities and Regions for SDGs - March 7, 2019 Paolo Veneri OECD/CFE
  • 2. Objectives • Provide a framework for (and with) Regions and Cities to use an SDG approach in policy making • Collect and produce SDGs indicators for regions and cities by: - maximising coverage and international comparability - building on already existing OECD work • Enhance the use and impact of indicators through a data visualisation tool On-going OECD work on measuring SDGs progress in regions and cities
  • 3. “SDG indicators should be disaggregated, where relevant, by income, sex, age, race, ethnicity, migratory status, disability and geographic location” - IAEG-SDG • Mapping the UN Global Indicator Framework for SDGs – Building on the OECD Regional and Metropolitan databases (but not only) – When UN indicator not available look for proxies (available or to produce) • Which Regions and Cities? – Regions: 400 OECD TL2 Regions + TL2 Regions of 5 LAC countries, 5 EU28 countries, Tunisia and Russia – Cities: about 650 OECD Functional Urban Areas (>250K population) – TL3 and Administrative cities when easily available and relevant What and at which subnational levels to measure?
  • 4. • Beyond Goal 11 on “Cities and human settlements” and Goal 10 looking at “Inequalities within Countries”; many Targets and Indicators have an important subnational component, such as: – For being a competence/jurisdiction of Local/Subnational government • 1.5.4 Local government implementing a disaster risk reduction strategy • 5.5.1 Proportion of seats held by women in local governments – Due to potential important regional disparities within and/or across countries • 1.2.1 People living in relative poverty • 8.5.2 Unemployment rates, by sex and age • 16.1.1 Homicides per 100,000 people • 8.1.1 Annual growth rate of real GDP per capita • 11.6.2 Exposure to air pollution (PM2.5) Relevant SDG Targets and Indicators for OECD Regions and Cities
  • 5. Metropolitan database Building on the existing database - 650 metropolitan areas in OECD countries - Global city definition work: extending the coverage to the globe - Unique tool to compare cities across countries Regional database - Annual data collection from OECD countries - Large set of well-being indicators
  • 6. Large disparities within countries in Relative poverty rates for both Regions AND Cities Regions Cities % of people with household income below half the national median household income, circa 2015
  • 7. Bridging the data gaps • Statistical questionnaire filled by countries – Goal 3: Obesity rate – Goal 4: Pupils and students enrolment – Goal 5: Women victims of physical or sexual violence (%); Women Mayors (%) – Goal 7: Final energy consumption per capita – Goal 6: Population connected to at least secondary wastewater treatment (%) • Modelled indicators from other sources (in progress) – Goal 16, Feeling of Safety (%) (e.g. survey data) – Goal 11, Growth in built-up area (e.g. global gridded data) – Goals 14 and 15, protected terrestrial and maritime zones (i.e. World Database on Protected Areas)
  • 8. Example other sources: Grids and geospatial information Average built-up area (square metres) per capita, 2014
  • 9. OECD Visualisation tool • Main objective • Allowing citizens, policy-makers and other stakeholders to identify the distance of their city to the SDGs in an intuitive and easy way • Features • Provides comparisons to peer regions or cities and national averages • Allows regions and cities to identify alike peers with similar or better SDGs outcomes • Coverage • Around 400+ OECD TL2 Regions and 600+ OECD FUAs • Around 80 indicators for TL2 Regions; pending for Cities
  • 10. Challenges ahead for SDG measurement at subnational level • Indicators’ coverage • Relevance of available indicators for policy makers at different levels (regional, metropolitan, municipal, etc.) • Combining official indicators with modelled ones • Lower data availability for cities
  • 11. Thank you! Contacts: RegionStat@oecd.org Paolo.VENERI@oecd.org Visit the updated web-sites: www.oecdregionalwellbeing.org https://measuringurban.oecd.org/#