NEET rate, 15-29 (annual, Europe)
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.
- Source
- Eurostat
- Rows
- 883
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 26, 2026
- Theme
- education
| Column | Type | Description |
|---|---|---|
| year | string | Reference year of the observation (stored as January 1), from the 'time' dimension. |
| country_code | string | Reporting country: ISO 3166-1 alpha-3 (mapped from Eurostat's alpha-2 codes). Also carries the provider aggregates (e.g. 'EU', 'EU27_2020', 'EU28', 'EA', 'EA21', 'EA20', 'EA19' for the house price index) verbatim; the exact set varies by dataset. |
| country_name | string | Canonical English country name (hub.normalize), or the Eurostat-published label for the EU/EA aggregates. |
| neet_rate_pct | float | Share of the 15-29 population neither in employment nor in education or training (the NEET rate), from the 'unit' indicator PC ('Percentage'), the 'sex' slice T ('Total'), the 'age' slice Y15-29 ('From 15 to 29 years'), the 'training' slice NO_FE_NO_NFE ('Neither formal nor non-formal education or training') and the 'wstatus' slice NEMP ('Not employed persons') (dataset edat_lfse_20, 'Young persons neither in employment nor in education and training by labour status (NEET rates)', compiled from the EU Labour Force Survey microdata transmitted by the member states). The UK and other non-EU/EFTA/non-candidate countries are dropped by the connector's commercial-use geo rule; the EU27_2020 and EA aggregates are included as published; national LFS redesigns cause breaks in some series. (unit: percent) |
- Current
20260926T051517Z-3c2684b93665 · sha256 3c2684b93665…
883 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/eurostat/eurostat_neet_rate_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eurostat/eurostat_neet_rate_annual").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/eurostat/eurostat_neet_rate_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
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Cite this snapshot
Pinned to snapshot 20260926T051517Z-3c2684b93665 and its content hash, so readers get exactly the data you used.
Eurostat. (2026). NEET rate, 15-29 (annual, Europe) [Data set, snapshot 20260926T051517Z-3c2684b93665, sha256 3c2684b93665]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/en/datasets/eurostat/eurostat_neet_rate_annual?snapshot=20260926T051517Z-3c2684b93665
@misc{dz_eurostat_eurostat_neet_rate_annual_3c2684b9,
title = {{NEET rate, 15-29 (annual, Europe)}},
author = {{Eurostat}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eurostat/eurostat_neet_rate_annual?snapshot=20260926T051517Z-3c2684b93665}},
note = {Snapshot 20260926T051517Z-3c2684b93665, sha256 3c2684b93665d4a19b1a7ffe78384d5813617eab41c2d6b310ced94c78acb2c8; accessed 2026-09-26}
}Embed a table or a chart
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<iframe src="https://datazimuts.com/embed/chart?dataset=eurostat%2Feurostat_neet_rate_annual&lang=en&theme=auto&snapshot=20260926T051517Z-3c2684b93665&x=year&y=neet_rate_pct&agg=avg" title="NEET rate, 15-29 (annual, Europe)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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