Global growth-inflation momentum signals (acceleration, misery index, stagflation screen)
Annual global macro-momentum signals derived from the IMF World Economic Outlook (~196 countries, 1980 -> 2031 including WEO projections as published): real GDP growth, CPI inflation and unemployment rates with 1-year and 3-year changes, 30-year change volatility, 3-sigma anomaly flags vs a trailing 10-year baseline, naive-drift 1-year forecasts, a per-year cross-country volatility rank, the growth-acceleration gauge, the misery index (inflation + unemployment) and a stagflation screen (growth < 1% with inflation > 5%). All rows are country-normalized to verified ISO alpha-3 codes (IMF analytic aggregates excluded) so they join cleanly with other country-keyed datasets. Raw data: IMF World Economic Outlook; derived signals by Frontier Data Hub.
Qualité
Attribution
International Monetary Fund, World Economic Outlook (derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Reference year (January 1st, YYYY-01-01) of the IMF World Economic Outlook observation; later years are WEO projections as published. |
| country | string | Canonical English short name of the country (IMF WEO country name, normalized). |
| country_code | string | ISO 3166-1 alpha-3 country code (IMF WEO country code; analytic-group aggregates excluded). |
| series_id | string | Indicator code: RGDP_GROWTH (real GDP growth), CPI_INFLATION (consumer price inflation), UNEMP_RATE (unemployment rate). |
| series_label | string | IMF World Economic Outlook subject label for the indicator: gross domestic product constant prices (percent change); inflation average consumer prices (annual percent change); unemployment rate (percent of total labor force). |
| value | float | Indicator value as published in the IMF World Economic Outlook, in percent: real GDP growth (annual percent change), CPI inflation (annual percent change), unemployment rate (percent of total labor force). |
| change_1y | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| growth_acceleration | float | |
| misery_index | float | |
| stagflation_flag | integer | |
| inflation_z_10y | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | change_1y | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | growth_acceleration | misery_index | stagflation_flag | inflation_z_10y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1980-01-01 | Angola | AGO | CPI_INFLATION | Inflation, average consumer prices — Annual percent change (IMF World Economic Outlook) | 46.7 | — | — | — | 0 | — | — | — | — | 0 | — |
| 1980-01-01 | Angola | AGO | RGDP_GROWTH | Gross domestic product, constant prices — Percent change (IMF World Economic Outlook) | 2.4 | — | — | — | 0 | — | — | — | — | 0 | — |
| 1980-01-01 | Albania | ALB | RGDP_GROWTH | Gross domestic product, constant prices — Percent change (IMF World Economic Outlook) | 2.7 | — | — | — | 0 | — | — | — | — | 0 | — |
| 1980-01-01 | Albania | ALB | UNEMP_RATE | Unemployment rate — Percent of total labor force (IMF World Economic Outlook) | 5 | — | — | — | 0 | — | — | — | — | 0 | — |
| 1980-01-01 | United Arab Emirates | ARE | CPI_INFLATION | Inflation, average consumer prices — Annual percent change (IMF World Economic Outlook) | 10.1 | — | — | — | 0 | — | — | — | — | 1 | — |
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/weo_signals/global_growth_inflation_momentum_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/weo_signals/global_growth_inflation_momentum_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/weo_signals/global_growth_inflation_momentum_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.