Sub-Saharan African terms-of-trade signals (price-competitiveness gauges)
Annual terms-of-trade signals derived from the IMF DataMapper (terms-of-trade index, 2010 = 100, 47 Sub-Saharan African economies, 2004 ->): 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, per-year cross-country volatility ranks, 10-year index z-scores, 5-year percent shifts, and sustained improvement / deterioration / shock-year flags. The global price-competitiveness companion to the trade-flow signals. Country codes normalized to verified ISO alpha-3. Raw data: International Monetary Fund (DataMapper, keyless API).
Quality
Attribution
International Monetary Fund, DataMapper (derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Reference year (January 1). The DataMapper publishes annual data. (unit: ISO date) |
| country | string | Country name (canonical English short name). |
| country_code | string | ISO 3166-1 alpha-3 country code. |
| series_id | string | IMF DataMapper indicator code (TTT). |
| series_label | string | IMF DataMapper indicator label: 'Terms of Trade (Index, 2010 = 100)'. |
| value | float | Terms of trade (IMF DataMapper indicator TTT). (unit: Index, 2010 = 100) |
| change_1y | float | |
| volatility_30d | float | |
| momentum_3m | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| tot_z_10y | float | |
| tot_change_5y_pct | float | |
| improving_flag | integer | |
| deteriorating_flag | integer | |
| shock_flag | integer |
Sample rows
| date | country | country_code | series_id | series_label | value | change_1y | volatility_30d | momentum_3m | anomaly_flag | forecast_1m | rank | tot_z_10y | tot_change_5y_pct | improving_flag | deteriorating_flag | shock_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-01-01 | Angola | AGO | TTT | Terms of Trade (Index, 2010 = 100) | 64.605251075903 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Burundi | BDI | TTT | Terms of Trade (Index, 2010 = 100) | 53.442937592763 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Benin | BEN | TTT | Terms of Trade (Index, 2010 = 100) | 133.60758534183 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Burkina Faso | BFA | TTT | Terms of Trade (Index, 2010 = 100) | 97.32505691583 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
| 2004-01-01 | Botswana | BWA | TTT | Terms of Trade (Index, 2010 = 100) | 70.176114932565 | — | — | — | 0 | — | — | — | — | 0 | 0 | 0 |
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/terms_of_trade_signals/global_terms_of_trade_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/terms_of_trade_signals/global_terms_of_trade_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/terms_of_trade_signals/global_terms_of_trade_signals
Tip: fetch /llms.txt for the full machine-readable catalog.