Heavy financial burden of debt repayments (annual)
Annual share of the population reporting the repayment of debts from hire purchases or loans as a heavy financial burden (subjective perception), for EU member states, EFTA countries, EU candidate countries and EU/euro-area aggregates. Eurostat dataset ilc_mded05 ('Financial burden of the repayment of debts from hire purchases or loans'), filtered to freq=A, hhcomp=TOTAL ('Total' population), rskpovth=TOTAL (all income groups), lev_bur=HVY ('Heavy') and unit=PC ('Percentage'), from EU-SILC. Each row is one (year, country). Method: Eurostat compiles EU-SILC microdata transmitted by the member states; respondents self-report how much of a financial burden the repayment of debts from hire purchases or loans is; non-EU/EFTA/candidate countries are dropped (same licensing rule as the other Eurostat datasets). Units: percent of population. Caveats: this is a subjective indicator and not directly comparable across countries' survey implementations; it measures hire-purchase and loan repayments, not mortgage repayments (see the heavy-housing-cost-burden dataset for the housing-cost perception); the UK and Kosovo (XK) are dropped by the connector's commercial-use geo rule; the EU, EU27_2020, EU28, EU27_2007, EA and EA21 aggregates are included as published. Coverage: ~44 geographic units after the geo rule, 2003 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 updates EU-SILC indicators in autumn. Sample use: filter country_code='GRC' to track Greece's perceived debt-repayment burden over time.
- Source
- Eurostat
- Rows
- 798
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 24, 2026
- Theme
- housing
| 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. |
| debt_repayment_burden_pct | float | Share of the population reporting the repayment of debts from hire purchases or loans as a heavy financial burden, from the 'lev_bur' level HVY ('Heavy'), the 'unit' indicator PC ('Percentage'), total population, all income groups (dataset ilc_mded05, from EU-SILC). Note: this is the burden of hire-purchase and loan repayments, not of mortgage repayments. (unit: percent) |
First 10 sample rows — a preview, not the complete dataset.
| year | country_code | country_name | debt_repayment_burden_pct |
|---|---|---|---|
| 2017-01-01 | ALB | Albania | 49.4 |
| 2018-01-01 | ALB | Albania | 48 |
| 2019-01-01 | ALB | Albania | 50.3 |
| 2020-01-01 | ALB | Albania | 48.7 |
| 2021-01-01 | ALB | Albania | 49.5 |
| 2022-01-01 | ALB | Albania | 45 |
| 2023-01-01 | ALB | Albania | 38.6 |
| 2003-01-01 | AUT | Austria | 24.7 |
| 2004-01-01 | AUT | Austria | 32.8 |
| 2005-01-01 | AUT | Austria | 26.1 |
Profiled Sep 24, 2026 from snapshot 20260924T192824Z-e5e6667196ac
Measured- Completeness
- 100%
- Rows
- 798
- Columns
- 4
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| yearvarchar | 0% | 21 | — |
|
| country_codevarchar | 0% | 48 | — |
|
| country_namevarchar | 0% | 48 | — |
|
| debt_repayment_burden_pctdouble | 0% | 408 | 2.5 → 80.5median 27.8 | 16 outside 1st–99th percentile |
- Current
20260924T192824Z-e5e6667196ac · sha256 e5e6667196ac…
798 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_debt_repayment_burden_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eurostat/eurostat_debt_repayment_burden_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_debt_repayment_burden_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 20260924T192824Z-e5e6667196ac and its content hash, so readers get exactly the data you used.
Eurostat. (2026). Heavy financial burden of debt repayments (annual) [Data set, snapshot 20260924T192824Z-e5e6667196ac, sha256 e5e6667196ac]. Datazimuts. Retrieved 2026-09-24, from https://datazimuts.com/en/datasets/eurostat/eurostat_debt_repayment_burden_annual?snapshot=20260924T192824Z-e5e6667196ac
@misc{dz_eurostat_eurostat_debt_repayment_burden__e5e66671,
title = {{Heavy financial burden of debt repayments (annual)}},
author = {{Eurostat}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eurostat/eurostat_debt_repayment_burden_annual?snapshot=20260924T192824Z-e5e6667196ac}},
note = {Snapshot 20260924T192824Z-e5e6667196ac, sha256 e5e6667196acd077450fa613cb3cf086506ef0684b60151c19a0169be70592e0; accessed 2026-09-24}
}Embed a table or a chart
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