Euro-area unemployment signals (rates, divergence, distance from EA average)
Monthly European unemployment signals derived from Eurostat's harmonized unemployment series (35 countries and aggregates, seasonally adjusted, % of labour force): year-on-year and 3-month changes in percentage points, 30-month annualized change volatility, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-country volatility rank, the cross-country dispersion of unemployment rates (the euro labor-market divergence gauge) and each country's distance from the EA21 euro-area average. All rows are country-normalized (ISO alpha-3, aggregates kept as stable codes) so they join cleanly with other country-keyed datasets. Raw data: Eurostat (une_rt_m); derived signals by Frontier Data Hub.
Qualité
Attribution
Eurostat (European Commission; derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (first day of the month, YYYY-MM-DD) of the Eurostat une_rt_m unemployment series. |
| country | string | |
| country_code | string | |
| series_id | string | Eurostat SDMX series key for the une_rt_m dataset (e.g. M.SA.TOTAL.PC_ACT.T.AT): monthly, seasonally adjusted, total unemployment, percentage of population in the labour force; trailing token is the geo code. |
| series_label | string | Eurostat series label as published: frequency, seasonal adjustment, age class, unit (percentage of population in the labour force) and country/aggregate name. |
| value | float | Harmonized unemployment rate as published by Eurostat for une_rt_m: percentage of the labour force (ILO definition), monthly and seasonally adjusted; see the Eurostat labour force survey methodology notes. |
| yoy_change_pp | float | |
| momentum_3m | float | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| dispersion_std | float | |
| ea_gap | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | yoy_change_pp | momentum_3m | volatility_30d | anomaly_flag | forecast_1m | rank | dispersion_std | ea_gap |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1983-01-01 | Denmark | DNK | M.SA.TOTAL.PC_ACT.T.DK | Monthly, Seasonally adjusted data, not calendar adjusted data, Total, Percentage of population in the labour force, Total, Denmark | 8.1 | — | — | — | 0 | — | — | 3.134798922692536 | — |
| 1983-01-01 | France | FRA | M.SA.TOTAL.PC_ACT.T.FR | Monthly, Seasonally adjusted data, not calendar adjusted data, Total, Percentage of population in the labour force, Total, France | 7.1 | — | — | — | 0 | — | — | 3.134798922692536 | — |
| 1983-01-01 | Ireland | IRL | M.SA.TOTAL.PC_ACT.T.IE | Monthly, Seasonally adjusted data, not calendar adjusted data, Total, Percentage of population in the labour force, Total, Ireland | 12.9 | — | — | — | 0 | — | — | 3.134798922692536 | — |
| 1983-01-01 | Italy | ITA | M.SA.TOTAL.PC_ACT.T.IT | Monthly, Seasonally adjusted data, not calendar adjusted data, Total, Percentage of population in the labour force, Total, Italy | 6.9 | — | — | — | 0 | — | — | 3.134798922692536 | — |
| 1983-01-01 | Luxembourg | LUX | M.SA.TOTAL.PC_ACT.T.LU | Monthly, Seasonally adjusted data, not calendar adjusted data, Total, Percentage of population in the labour force, Total, Luxembourg | 3.3 | — | — | — | 0 | — | — | 3.134798922692536 | — |
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/euro_unemp_signals/euro_area_unemployment_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/euro_unemp_signals/euro_area_unemployment_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)Point d’accès API: https://datazimuts.com/v1/datasets/euro_unemp_signals/euro_area_unemployment_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.