Health Risks - Regions
OECD dataset from agency OECD.CFE.EDS: DSD_REG_HEALTH@DF_RISK (1995 - 2024)
@oecd.oecd_cfe_eds_dsd_reg_health_df_risk_v2_0
OECD dataset from agency OECD.CFE.EDS: DSD_REG_HEALTH@DF_RISK (1995 - 2024)
@oecd.oecd_cfe_eds_dsd_reg_health_df_risk_v2_0
This dataset provides regional statistics on health risks in large regions (TL2), and small regions (TL3) when data is available. Indicators include obesity rates, air pollution exposure, mortality rates due to circulatory and respiratory diseases.
Data definition and source
PM2.5 air pollution indicators are computed using geospatial data from the Global Burden of Disease (GBD) 2019 project. Respiratory and circulatory related mortality data are collected from Eurostat (reg_hlth) for EU regions and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
Definition of regions
Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).
Use of data on small regions
When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).
Cite this dataset
OECD Regions and Cities databases http://oe.cd/geostats
Further information
Contact: RegionStat@oecd.org
CREATE TABLE observations (
"dataflow" VARCHAR,
"freq" VARCHAR,
"territorial_level" VARCHAR,
"ref_area" VARCHAR,
"territorial_type" VARCHAR,
"measure" VARCHAR,
"age" VARCHAR,
"sex" VARCHAR,
"unit_measure" VARCHAR,
"time_period" BIGINT,
"obs_value" DOUBLE,
"country" VARCHAR,
"obs_status" VARCHAR,
"unit_mult" BIGINT,
"decimals" BIGINT
);Anyone who has the link will be able to view this.