Tracking progess on Urban Green Growth and Sustainable Development Goals: Data, Information and Indicators

1. TRACKING PROGRESS ON URBAN
GREEN GROWTH AND SUSTAINABLE
DEVELOPMENT GOALS: DATA,
INFORMATION AND INDICATORS
GREEN GROWTH AND SUSTAINABLE DEVELOPMENT FORUM 2016
10 NOVEMBER 2016
Monica Brezzi
Public Governance and Territorial Development Directorate,
OECD

2. • Administrative
• Functional Urban
areas
(metropolitan areas)
OECD-EU definition of cities, applied to 31
countries
Supply of
sub-national
statistics
data sources
Geographies
• NSO
• Data produced by users
• Data produced by local institutions
• Geospatial data
• Web data
http://measuringurban.oecd.org/#

3. Unpack national averages: global targets
make a difference at subnational level
Decoupling Co2 emissions from economic growth: around half of the 288
metropolitan areas achieved absolute decoupling , as their emissions decreased in absolute
terms; however, very different patterns across cities in the same country
Source: OECD Metropolitan database

4. • 68% of the urban population in OECD countries (376 million people) are exposed to
pollution above the WHO’s recommended levels.
• OECD estimates show wide variation in PM2.5 exposure levels across cities in the same
country, the largest in Mexico, Italy, Japan and Korea
4
Different performance also across cities in
the same countryMérida
Palermo
Naha
Ulsan
Toulon
Portland
Gdańsk
LasPalmas
Bremen
Stockholm
Glasgow
Brno
Concepción
Geneva
Quebec
Utrecht
Lisbon
Athens
Antwerp
Linz
Cuernavaca
Milan
Kumamoto
Cheongju
Strasbourg
Buffalo
Kraków
Zaragoza
Essen
Malmö
Liverpool
Ostrava
Santiago
Zurich
Toronto
TheHague
Porto
Thessalonica
Brussel
Vienna
Budapest
Bratislava
Ljubljana
Copenhaguen
Helsinki
Tallinn
Oslo
Dublin
-10010203040
Mexico(33)
Italy(11)
Japan(36)
Korea(10)
France(15)
UnitedStates(70)
Poland(8)
Spain(8)
Germany(24)
Sweden(3)
UnitedKingdom(15)
CzechRepublic(3)
Chile(3)
Switzerland(3)
Canada(9)
Netherlands(5)
Portugal(2)
Greece(2)
Belgium(4)
Austria(3)
Hungary(1)
SlovakRepublic(1)
Slovenia(1)
Denmark(1)
Finland(1)
Estonia(1)
Norway(1)
Ireland(1)
Metropolitan minimum Country average Metropolitan maximum
Country(No.ofcities)
Source: OECD Metropolitan database

5. SDG Dataset Indicators
Regional income
distribution dataset
Regional poverty rates
Regional database
Regional well-being dataset
Key data on subnational
governments
Educational attainments of the labour force
Student enrolment by level of education
Share of labour force with at least secondary education
Subnational Expenditure for education
Regional database
Regional well-being dataset
Metropolitan database
Key data on subnational
governments
Regional economy
Regional GDP
Regional GVA by industry and per worker
Regional employment by industry
Labour utilisation rate
Regional income per equivalised household and per capita
regional income, reference series - deflators and PPP rates,
average annual population.
Regional well-being dataset
Household disposable income per capita
GDP form cities
Key data on subnational governments
Subnational Expenditure for economic affairs
5
Linking regional and metropolitan
database to SDGs (examples)

6. 6
Income inequality is generally higher in
cities than in their respective countries
Source: OECD (2016) Making cities work for all