Debt service ratios (quarterly, 32 economies)
BIS debt service ratios — interest payments plus amortisations relative to income, in per cent — for households & NPISHs, non-financial corporations and the private non-financial sector. Bank for International Settlements, BIS Data Portal.
Source: Bank for International Settlements7,182 lignesMis à jour: 22/09/2026
debtcredithouseholdscorporatesfinancial-stability
Qualité
97
Attribution
Bank for International Settlements
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation period (the TIME_PERIOD column of the BIS SDMX-CSV response). Monthly series use YYYY-MM; quarterly series use YYYY-QN, stored as the first day of the quarter. |
| series_id | string | BIS area code plus borrower-sector code for debt service ratios, e.g. 'US', 'US.H': the unique identifier of the series in the BIS Data Portal. |
| series_label | string | Borrower sector from the BIS's own CL_TC_BORROWERS codelist (Households & NPISHs, Non-financial corporations, Private non-financial sector) followed by the economy name from CL_AREA. |
| value | float | Observed debt service ratio for the economy, borrower sector and quarter (the OBS_VALUE column). Unit 367: per cent. |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 1999-01-01 | AU.H | Households & NPISHs — Australia | 10 |
| 1999-04-01 | AU.H | Households & NPISHs — Australia | 10.1 |
| 1999-07-01 | AU.H | Households & NPISHs — Australia | 10.3 |
| 1999-10-01 | AU.H | Households & NPISHs — Australia | 10.5 |
| 2000-01-01 | AU.H | Households & NPISHs — Australia | 10.8 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/bis/bis_debt_service_ratios" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bis/bis_debt_service_ratios").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/bis/bis_debt_service_ratios
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.