US core PCE inflation, monthly

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Monthly US core-inflation intelligence panel, 1959-01 onward: the Personal Consumption Expenditures price index excluding food and energy (chain-type index, 2017=100, seasonally adjusted; FRED PCEPILFE), the Federal Reserve's preferred inflation gauge. Carries 1-month, 3-month-annualized and 12-month percent changes plus an above_target_flag marking months where 12-month core inflation sits at or above the FOMC's 2% objective. Upstream: U.S. Bureau of Economic Analysis, Personal Income and Outlays release, redistributed keyless via FRED fredgraph.csv (restores the level series purged from the API-key FRED connector on 2026-09-29). Method caveats: chain-type indexes reweight continuously, so index levels are not comparable across distant eras without the percent changes; BEA revises history with annual updates. One row per month x USA; in-window nulls fail loudly, never imputed. Who joins this: online shops join pricing and demand on year_month + country_code; subscription businesses test whether above-target inflation months lead involuntary churn; sales teams weight pipeline by inflation regime.

Source: US Business-Cycle & Core-Inflation Intelligence (FRED, keyless)
Rows: 811
Columns: 10
Source cadence: Monthly
Last refreshed: Sep 30, 2026
Theme: economy

Column	Type	Description
month_start	date	First day of the calendar month. (unit: date)
year_month	string	Calendar month as YYYY-MM (panel join key). (unit: string)
country	string	Country name (shared normalization layer). (unit: string)
country_code	string	ISO 3166-1 alpha-3 country code (USA). (unit: string)
pce_core_index	float	Personal Consumption Expenditures price index excluding food and energy, chain-type index (FRED PCEPILFE, BEA). (unit: index (2017=100))
pce_mom_pct	float	1-month percent change in the core PCE index (null for the first panel month). (unit: percent)
pce_yoy_pct	float	12-month percent change in the core PCE index (null for the first panel year). (unit: percent)
pce_3m_ann_pct	float	3-month annualized percent change in the core PCE index (null for the first 3 panel months). (unit: percent)
above_target_flag	integer	1 when 12-month core PCE inflation sits at or above the FOMC's 2% objective, else 0 (null where the 12-month rate is null). (unit: flag)
row_hash	string	Deterministic 16-hex sha256 of year_month + the panel level (idempotency key). (unit: string)

First 10 sample rows — a preview, not the complete dataset.

month_start	year_month	country	country_code	pce_core_index	pce_mom_pct	pce_yoy_pct	pce_3m_ann_pct	row_hash
1959-01-01	1959-01	United States	USA	15.501	—	—	—	3ba17740a0d181ba
1959-02-01	1959-02	United States	USA	15.513	0.077	—	—	ef4213b49daadd13
1959-03-01	1959-03	United States	USA	15.531	0.116	—	—	0f0ff56c97ed24d1
1959-04-01	1959-04	United States	USA	15.57	0.251	—	1.792	1dad4a964f3da371
1959-05-01	1959-05	United States	USA	15.589	0.122	—	1.974	bad456069d7ec0e6
1959-06-01	1959-06	United States	USA	15.635	0.295	—	2.706	b98c9955adf031d2
1959-07-01	1959-07	United States	USA	15.672	0.237	—	2.646	c141a94b1e47cc27
1959-08-01	1959-08	United States	USA	15.697	0.16	—	2.8	f0f19ff8881723a2
1959-09-01	1959-09	United States	USA	15.738	0.261	—	2.661	56a5463794dcf564
1959-10-01	1959-10	United States	USA	15.765	0.172	—	2.395	dedd292212135ba9

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/fred_cycle_inflation_intel/us_core_pce_inflation_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fred_cycle_inflation_intel/us_core_pce_inflation_monthly").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/fred_cycle_inflation_intel/us_core_pce_inflation_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20260930T113007Z-9f13b92753cc and its content hash, so readers get exactly the data you used.

APA

US Business-Cycle & Core-Inflation Intelligence (FRED, keyless). (2026). US core PCE inflation, monthly [Data set, snapshot 20260930T113007Z-9f13b92753cc, sha256 9f13b92753cc]. Datazimuts. Retrieved 2026-09-30, from https://datazimuts.com/en/datasets/fred_cycle_inflation_intel/us_core_pce_inflation_monthly?snapshot=20260930T113007Z-9f13b92753cc

BibTeX

@misc{dz_fred_cycle_inflation_intel_us_core_pce_i_9f13b927,
  title        = {{US core PCE inflation, monthly}},
  author       = {{US Business-Cycle \& Core-Inflation Intelligence (FRED, keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/fred_cycle_inflation_intel/us_core_pce_inflation_monthly?snapshot=20260930T113007Z-9f13b92753cc}},
  note         = {Snapshot 20260930T113007Z-9f13b92753cc, sha256 9f13b92753ccbc4b31ba6bdab255146dd54ab3fa9879de0047ce41c1600956d7; accessed 2026-09-30}
}

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US core PCE inflation, monthly

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