US freight-activity signals (goods-demand slowdown/surge gauges)
Monthly goods-demand signals derived from FRED US transport data (Cass shipments, freight transportation services index, rail carloads): month-on-month and year-on-year changes, 30-month change volatility, 3-sigma anomaly flags vs a trailing-12-month baseline, drift forecasts, per-month cross-series volatility ranks, and a composite freight-momentum z-score with slowdown/surge flags. The transport-flow companion to the industrial-production and trade signals. Country codes normalized to ISO alpha-3 (USA). Raw data: Cass Information Systems / Bureau of Transportation Statistics / Association of American Railroads via FRED.
Quality
Attribution
Cass Information Systems / Bureau of Transportation Statistics / Association of American Railroads via FRED (derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Observation date (month start). (unit: ISO date) |
| country | string | Country of the series (United States). |
| country_code | string | ISO 3166-1 alpha-3 country code (USA). |
| series_id | string | FRED series identifier: FRGSHPUSM649NCIS, TSIFRGHT, or RAILFRTCARLOADSD11. |
| series_label | string | FRED series title. |
| value | float | Series value in native units: Cass shipments index (January 1990 = 1.0), freight transportation services index (2000 = 100), or rail freight carloads (number of carloads). |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change_pct | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| freight_momentum_z | float | |
| slowdown_flag | integer | |
| surge_flag | integer |
Sample rows
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pct | anomaly_flag | forecast_1m | rank | freight_momentum_z | slowdown_flag | surge_flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01-01 | United States | USA | RAILFRTCARLOADSD11 | Rail Freight Carloads | 1373789 | — | — | — | 0 | — | — | — | 0 | 0 |
| 2000-01-01 | United States | USA | TSIFRGHT | Freight Transportation Services Index | 104.9 | — | — | — | 0 | — | — | — | 0 | 0 |
| 2000-02-01 | United States | USA | RAILFRTCARLOADSD11 | Rail Freight Carloads | 1369630 | — | — | — | 0 | — | — | — | 0 | 0 |
| 2000-02-01 | United States | USA | TSIFRGHT | Freight Transportation Services Index | 103.1 | — | — | — | 0 | — | — | — | 0 | 0 |
| 2000-03-01 | United States | USA | RAILFRTCARLOADSD11 | Rail Freight Carloads | 1363186 | — | — | — | 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/freight_activity_signals/us_freight_activity_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/freight_activity_signals/us_freight_activity_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/freight_activity_signals/us_freight_activity_signals
Tip: fetch /llms.txt for the full machine-readable catalog.