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 rowsUpdated: 9/22/2026
debtcredithouseholdscorporatesfinancial-stability
Quality
97
Attribution
Bank for International Settlements
Schema
| Column | 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. |
Sample rows
| 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 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/bis/bis_debt_service_ratios
Tip: fetch /llms.txt for the full machine-readable catalog.