IMF global real-GDP-growth signals (growth cycle)
Annual global real-GDP-growth signals from the IMF DataMapper (NGDP_RPCH, ~190 economies, 1980 -> latest WEO vintage, projections kept as published): growth acceleration, 5-year changes, OLS trend slopes, 3-sigma anomaly flags, 5-year extrapolation forecasts, 10-year growth z-scores, per-year growth ranks, recession (negative growth) and high-growth (>=6%) flags. The growth-cycle lens on the world economy — the ML-enriched companion to the raw imf real-gdp-growth series. Country codes validated via the shared normalization layer. Raw indicator: International Monetary Fund DataMapper.
Quality
Attribution
International Monetary Fund, DataMapper (derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Reference year (IMF DataMapper annual; includes WEO projections as published). |
| country | string | Economy name as published by the IMF. |
| country_code | string | ISO 3166-1 alpha-3 code for the economy. |
| series_id | string | IMF DataMapper indicator code: NGDP_RPCH (real GDP growth, annual percent change). |
| series_label | string | Indicator title as published in the IMF DataMapper. |
| value | float | Real gross domestic product, annual percent change, as published by the IMF DataMapper (World Economic Outlook). Negative values are contraction years. (unit: annual percent change) |
| growth_acceleration_pp | float | |
| change_5y_pp | float | |
| trend_slope_10y | float | |
| anomaly_flag | integer | |
| forecast_5y | float | |
| growth_z_10y | float | |
| rank | integer | |
| recession_flag | integer | |
| high_growth_flag | integer |
Sample rows
| date | country | country_code | series_id | series_label | value | growth_acceleration_pp | change_5y_pp | trend_slope_10y | anomaly_flag | forecast_5y | growth_z_10y | rank | recession_flag | high_growth_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1987-01-01 | Aruba | ABW | NGDP_RPCH | Real GDP growth (annual percent change) | 16.1 | — | — | — | 0 | — | — | 4 | 0 | 1 |
| 1988-01-01 | Aruba | ABW | NGDP_RPCH | Real GDP growth (annual percent change) | 18.6 | 2.5 | — | — | 0 | — | — | 4 | 0 | 1 |
| 1989-01-01 | Aruba | ABW | NGDP_RPCH | Real GDP growth (annual percent change) | 12.1 | -6.500000000000002 | — | — | 0 | — | — | 8 | 0 | 1 |
| 1990-01-01 | Aruba | ABW | NGDP_RPCH | Real GDP growth (annual percent change) | 4 | -8.1 | — | — | 0 | — | — | 64 | 0 | 0 |
| 1991-01-01 | Aruba | ABW | NGDP_RPCH | Real GDP growth (annual percent change) | 8 | 4 | — | -3.080000000000001 | 0 | -7.400000000000006 | — | 24 | 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/imf_growth_signals/imf_global_real_gdp_growth_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/imf_growth_signals/imf_global_real_gdp_growth_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/imf_growth_signals/imf_global_real_gdp_growth_signals
Tip: fetch /llms.txt for the full machine-readable catalog.