About this Dataset

Labour Statistics - Regions (for 'Developer API')

This dataset provides labour market indicators, by region. The labour force status is presented by sex, for 15-64 year-olds. 15-24 year-olds and 15+ year-olds age ranges are also available. Indicators include labour force, participation rate, employment, employment to population ratio, part-time employment rate, unemployment, unemployment rate, long-term unemployment rate and share of fixed-term employment contracts.

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people's movements). See the methodology (pdf).
Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas
The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org

Tables

Observations

@oecd.oecd_cfe_eds_dsd_reg_labour_df_lab_v2_0.observations

15.71 MB
2,948,201 rows
15 columns

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
);