Euro-area sovereign debt signals (quarterly debt trajectories)
Quarterly sovereign-debt signals derived from Eurostat government debt data: general-government consolidated gross debt as % of GDP for 32 European economies, with quarter-on-quarter and year-on-year changes, 30-quarter annualized change volatility, 1-quarter momentum, 3-sigma anomaly flags vs a trailing 12-quarter baseline, naive-drift 1-quarter forecasts, a per-quarter cross-country volatility rank, the Maastricht 60%-of-GDP breach flag, debt-trajectory acceleration, the gap to the EA20 aggregate and 10-year debt z-scores. Geo codes are normalized to ISO alpha-3 (EU aggregates keep stable codes) so rows join cleanly with other country-keyed datasets. Raw series: Eurostat (gov_10q_ggdebt).
Quality
Attribution
European Commission (Eurostat; derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | First day of the reference quarter (Eurostat gov_10q_ggdebt, quarterly). |
| country | string | |
| country_code | string | |
| series_id | string | Eurostat SDMX series key for quarterly government debt (Q.GD.S13.PC_GDP.<geo>): quarterly, general government (S13), consolidated gross debt, percentage of GDP, by geo code. |
| series_label | string | Eurostat dimension labels: 'Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP)' plus the country/aggregate name. |
| value | float | General-government consolidated gross debt as a percentage of GDP, as published by Eurostat (gov_10q_ggdebt). |
| qoq_change_pp | float | |
| yoy_change_pp | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| maastricht_breach | integer | |
| debt_acceleration | float | |
| ea_gap | float | |
| debt_z_10y | float |
Sample rows
| date | country | country_code | series_id | series_label | value | qoq_change_pp | yoy_change_pp | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | maastricht_breach | debt_acceleration | ea_gap | debt_z_10y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1995-10-01 | Belgium | BEL | Q.GD.S13.PC_GDP.BE | Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP), Belgium | 131.5 | — | — | — | — | 0 | — | — | 1 | — | — | — |
| 1995-10-01 | Bulgaria | BGR | Q.GD.S13.PC_GDP.BG | Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP), Bulgaria | 76.8 | — | — | — | — | 0 | — | — | 1 | — | — | — |
| 1995-10-01 | Spain | ESP | Q.GD.S13.PC_GDP.ES | Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP), Spain | 61.6 | — | — | — | — | 0 | — | — | 1 | — | — | — |
| 1995-10-01 | Croatia | HRV | Q.GD.S13.PC_GDP.HR | Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP), Croatia | 23.3 | — | — | — | — | 0 | — | — | 0 | — | — | — |
| 1995-10-01 | Hungary | HUN | Q.GD.S13.PC_GDP.HU | Quarterly, Government consolidated gross debt, General government, Percentage of gross domestic product (GDP), Hungary | 83.9 | — | — | — | — | 0 | — | — | 1 | — | — | — |
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/eu_debt_signals/euro_area_sovereign_debt_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eu_debt_signals/euro_area_sovereign_debt_signals").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/eu_debt_signals/euro_area_sovereign_debt_signals
Tip: fetch /llms.txt for the full machine-readable catalog.