090°Open data
Open datasets, fully documented — searchable here, and readable by any LLM.
2 datasets
Eurostat
Annual share of 15-29 year olds neither in employment nor in education or training (the NEET rate), for EU member states, EFTA countries, EU candidate countries and EU/euro-area aggregates. Eurostat dataset edat_lfse_20 ('Young persons neither in employment nor in education and training by labour status (NEET rates)'), filtered to sex=T ('Total'), age=Y15-29 ('From 15 to 29 years', the EU headline band), training=NO_FE_NO_NFE ('Neither formal nor non-formal education or training'), wstatus=NEMP ('Not employed persons') and unit=PC ('Percentage'). Each row is one (year, country): the share of the 15-29 population that is not employed and not in any formal or non-formal education or training. Method: Eurostat compiles the EU Labour Force Survey microdata transmitted by the member states; a young person counts as NEET only when both conditions hold (not employed AND not in education or training). Units: percent of the 15-29 population. Caveats: national LFS redesigns cause breaks in some series; the rate mixes the unemployed with the inactive (that split is not in this dataset); the EU27_2020 and EA aggregates are included as published; the UK and other non-EU/EFTA/non-candidate countries are dropped by the connector's commercial-use geo rule. Coverage: ~40 geographic units after the geo rule, 2000 to the present, annual. Provenance: Eurostat keyless JSON-stat API, free reuse with attribution (Commission Decision 2011/833/EU) - please cite Eurostat. Primary key: (year, country_code). Join keys: country_code (ISO 3166-1 alpha-3), year. Cadence: refreshed yearly; Eurostat publishes the series each spring. Sample use: filter country_code='FRA' to track France's youth disengagement rate.
Annual share of 15-29 year olds neither in employment nor in education or training (the NEET rate), broken down by sex, for EU member states, EFTA countries, EU candidate countries and EU/euro-area aggregates. Eurostat dataset edat_lfse_20 ('Young persons neither in employment nor in education and training by labour status (NEET rates)'), filtered to sex=M ('Males') / F ('Females'), age=Y15-29 ('From 15 to 29 years'), training=NO_FE_NO_NFE ('Neither formal nor non-formal education or training'), wstatus=NEMP ('Not employed persons') and unit=PC ('Percentage'). It extends the headline dataset 'neet-rate-annual' (the sex=T slice of the same table). Each row is one (year, country, sex). Method: EU Labour Force Survey microdata compiled by Eurostat; a young person counts as NEET only when both conditions hold (not employed AND not in education or training). Units: percent of the 15-29 population in the sex group. Caveats: female rates run above male rates in the large majority of published country-years (e.g. EU27_2020 2025: 12.1% F vs 10.0% M; DEU 2025: 10.6% F vs 8.5% M); national LFS redesigns cause breaks in some series; the EU27_2020 and EA aggregates are included as published; the UK and other non-EU/EFTA/non-candidate countries are dropped by the connector's commercial-use geo rule. Coverage: ~40 geographic units after the geo rule, 2000 to the present, annual. Provenance: Eurostat keyless JSON-stat API, free reuse with attribution (Commission Decision 2011/833/EU) - please cite Eurostat. Primary key: (year, country_code, sex). Join keys: country_code (ISO 3166-1 alpha-3), year. Cadence: refreshed yearly; Eurostat publishes the series each spring. Sample use: filter country_code='DEU' to compare male and female youth disengagement in Germany.
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