US sticky vs flexible inflation signals (underlying inflation gauge, persistence regime)
Monthly signals derived from the Atlanta Fed's sticky-price and flexible-price CPI series (redistributed by FRED, 1968 ->; both series are published as 12-month percent changes): 30-month annualized point-change volatility, 3-month point-change momentum, the 12-month percent change itself, 3-sigma anomaly flags vs a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-series volatility rank, the sticky-minus-flexible spread (pp — the underlying-inflation gauge) and a 10-year sticky-inflation z-score (the persistence-regime gauge). All rows are normalized to country_code USA so they join cleanly with US macro data. Raw series: Federal Reserve Bank of St. Louis (FRED); underlying data: Federal Reserve Bank of Atlanta.
Quality
Attribution
Federal Reserve Bank of St. Louis (FRED; underlying data: Federal Reserve Bank of Atlanta; derived signals by Frontier Data Hub)
Schema
| Column | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID (CORESTICKM159SFRBATL for sticky-price CPI less food and energy, FLEXCPIM159SFRBATL for flexible-price CPI); IDs resolve to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series (Federal Reserve Bank of Atlanta sticky/flexible price CPI data). |
| value | float | 12-month percent change (percent), monthly, seasonally adjusted — the Atlanta Fed publishes these series as percent change from year ago, not index levels; see the series notes for the sticky/flexible classification methodology. |
| volatility_30d | float | |
| momentum_3m | float | |
| yoy_change_pct | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer | |
| sticky_flexible_spread | float | |
| sticky_z_10y | float |
Sample rows
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_3m | yoy_change_pct | anomaly_flag | forecast_1m | rank | sticky_flexible_spread | sticky_z_10y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1968-01-01 | United States | USA | CORESTICKM159SFRBATL | Sticky Price Consumer Price Index less Food and Energy | 3.65186106 | — | — | 3.65186106 | 0 | — | — | 0.5697291179999997 | — |
| 1968-01-01 | United States | USA | FLEXCPIM159SFRBATL | Flexible Price Consumer Price Index | 3.082131942 | — | — | 3.082131942 | 0 | — | — | 0.5697291179999997 | — |
| 1968-02-01 | United States | USA | CORESTICKM159SFRBATL | Sticky Price Consumer Price Index less Food and Energy | 3.673819411 | — | — | 3.673819411 | 0 | — | — | 0.41336798500000027 | — |
| 1968-02-01 | United States | USA | FLEXCPIM159SFRBATL | Flexible Price Consumer Price Index | 3.260451426 | — | — | 3.260451426 | 0 | — | — | 0.41336798500000027 | — |
| 1968-03-01 | United States | USA | CORESTICKM159SFRBATL | Sticky Price Consumer Price Index less Food and Energy | 4.142163975 | — | — | 4.142163975 | 0 | — | — | 0.5723831349999999 | — |
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/sticky_inflation_signals/us_sticky_vs_flexible_inflation_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/sticky_inflation_signals/us_sticky_vs_flexible_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)API endpoint: https://datazimuts.com/v1/datasets/sticky_inflation_signals/us_sticky_vs_flexible_inflation_signals
Tip: fetch /llms.txt for the full machine-readable catalog.