Euro-area inflation signals (ECB 2% target streaks, inflation momentum, anomalies, forecasts)
Signals derived from Eurostat's monthly all-items HICP annual inflation rates (already year-over-year): 3-month momentum in percentage points, an ECB 2%-target gauge (above-target flag + signed target streak), 30-month annualized volatility of inflation-rate changes, 3-sigma anomaly flags, naive-drift 1-month forecasts and a per-month cross-country inflation rank (1 = hottest). Covers 41 series: EU member states plus euro-area (EA20) and EU (EU27) aggregates, monthly 1997 -> present. All rows carry canonical country_code so they join cleanly with country-keyed macro data. Raw series: Eurostat (prc_hicp_manr).
Qualité
Attribution
Eurostat (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference month (Eurostat HICP time period; YYYY-MM-DD, first of month). |
| country | string | |
| country_code | string | |
| series_id | string | Eurostat dataset series key for the monthly all-items HICP annual rate of change (prc_hicp_manr). |
| series_label | string | Eurostat series label as published for the all-items HICP annual rate of change, including the country or aggregate name. |
| value | float | Annual rate of change of the all-items Harmonised Index of Consumer Prices (HICP), in percent (Eurostat prc_hicp_manr); see the Eurostat HICP methodology notes for coverage and revisions. |
| momentum_3m | float | |
| above_target_flag | integer | |
| target_streak | integer | |
| volatility_30d | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_3m | above_target_flag | target_streak | volatility_30d | anomaly_flag | forecast_1m | rank |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1997-01-01 | Austria | AUT | M.RCH_A.CP00.AT | Monthly, Annual rate of change, All-items HICP, Austria | 1.2 | — | 0 | 1 | — | 0 | — | 30 |
| 1997-01-01 | Belgium | BEL | M.RCH_A.CP00.BE | Monthly, Annual rate of change, All-items HICP, Belgium | 2.1 | — | 1 | 1 | — | 0 | — | 20 |
| 1997-01-01 | Cyprus | CYP | M.RCH_A.CP00.CY | Monthly, Annual rate of change, All-items HICP, Cyprus | 2 | — | 0 | 0 | — | 0 | — | 21 |
| 1997-01-01 | Czechia | CZE | M.RCH_A.CP00.CZ | Monthly, Annual rate of change, All-items HICP, Czechia | 7.2 | — | 1 | 1 | — | 0 | — | 9 |
| 1997-01-01 | Germany | DEU | M.RCH_A.CP00.DE | Monthly, Annual rate of change, All-items HICP, Germany | 1.9 | — | 0 | 1 | — | 0 | — | 24 |
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/eu_inflation_signals/euro_area_inflation_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eu_inflation_signals/euro_area_inflation_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/eu_inflation_signals/euro_area_inflation_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.