Long-standing illness or health problem (annual, Europe)
Annual share of the population aged 16 and over reporting a long-standing illness or health problem, for EU member states, EFTA countries, EU candidate countries and EU/euro-area aggregates. Eurostat dataset hlth_silc_11 ('People having a long-standing illness or health problem, by sex, age and income quintile'), filtered to unit=PC ('Percentage'), quant_inc=TOTAL ('Total'), age=Y_GE16 ('16 years or over') and sex=T ('Total'). Each row is one (year, country). Method: Eurostat compiles the EU Statistics on Income and Living Conditions (EU-SILC) microdata transmitted by the member states; the illness figure is self-reported in the annual EU-SILC interview and covers any illness or health problem expected to last (or having lasted) at least six months. Non-EU/EFTA/candidate countries are dropped (same licensing rule as the other Eurostat datasets; the UK and Kosovo are dropped). Units: percent of the 16+ population. Caveats: the indicator is subjective (self-reported health), so cross-country differences mix real morbidity with reporting culture; Germany has a genuine upstream gap for 2021; the EU27_2020 and EA21 aggregates are included as published. Coverage: 44 geographic units after the geo rule, 2008 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 autumn. Sample use: filter country_code='FRA' to track France's self-reported chronic-illness prevalence over time.
- Source
- Eurostat
- Rows
- 699
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 26, 2026
- Theme
- health
| 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. |
| longstanding_illness_pct | float | Share of the population aged 16 and over reporting a long-standing illness or health problem, from the 'unit' indicator PC ('Percentage'), income slice quant_inc=TOTAL ('Total'), age slice Y_GE16 ('16 years or over') and sex slice T ('Total') (dataset hlth_silc_11, 'People having a long-standing illness or health problem, by sex, age and income quintile', from EU-SILC). The illness figure is self-reported in the annual EU-SILC interview. The UK and Kosovo are dropped by the connector's commercial-use geo rule; the EU27_2020 and EA21 aggregates are included as published. (unit: percent) |
- Current
20260926T051506Z-52b311c6a097 · sha256 52b311c6a097…
699 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_longstanding_illness_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eurostat/eurostat_longstanding_illness_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_longstanding_illness_annual
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260926T051506Z-52b311c6a097 and its content hash, so readers get exactly the data you used.
Eurostat. (2026). Long-standing illness or health problem (annual, Europe) [Data set, snapshot 20260926T051506Z-52b311c6a097, sha256 52b311c6a097]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/en/datasets/eurostat/eurostat_longstanding_illness_annual?snapshot=20260926T051506Z-52b311c6a097
@misc{dz_eurostat_eurostat_longstanding_illness_a_52b311c6,
title = {{Long-standing illness or health problem (annual, Europe)}},
author = {{Eurostat}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eurostat/eurostat_longstanding_illness_annual?snapshot=20260926T051506Z-52b311c6a097}},
note = {Snapshot 20260926T051506Z-52b311c6a097, sha256 52b311c6a0978808c7b8217ead698f4ac19b6b1165fda2af715d7e90d4af3b34; accessed 2026-09-26}
}Embed a table or a chart
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<iframe src="https://datazimuts.com/embed/chart?dataset=eurostat%2Feurostat_longstanding_illness_annual&lang=en&theme=auto&snapshot=20260926T051506Z-52b311c6a097&x=year&y=longstanding_illness_pct&agg=avg" title="Long-standing illness or health problem (annual, Europe)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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