UK category inflation heat signals (CPIH by COICOP division, inflation breadth, anomalies)

Name: UK category inflation heat signals (CPIH by COICOP division, inflation breadth, anomalies)
Creator: UK Price Heat Signals (derived)
License: https://www.ons.gov.uk/terms
Keywords: uk, inflation, cpih, ons, inflation-breadth, cost-of-living, volatility, momentum, anomaly-detection, forecasting, signals

Monthly ML-enriched UK inflation signals derived from ONS CPIH by-category indices (12 COICOP divisions, 1988 -> present): per-category year-over-year inflation with 30-month annualized change volatility, 3-month momentum, 3-sigma anomaly flags versus a trailing 12-month baseline, naive-drift 1-month forecasts, a per-month cross-category volatility rank, plus a UK-wide inflation-breadth gauge (share of divisions running above 3% YoY). Raw data: Office for National Statistics (Open Government Licence v3.0). Every row is country_code GBR and joins cleanly with UK macro datasets.

Source: UK Price Heat Signals (derived)5,797 rowsUpdated: 9/22/2026License: OGL-3.0

ukinflationcpihonsinflation-breadthcost-of-livingvolatilitymomentumanomaly-detectionforecastingsignals

Quality

99.8

Attribution

Office for National Statistics (derived signals by Frontier Data Hub)

Schema

Column	Type	Description
date	string	Observation month (first day of month; ONS CPIH reference period).
country	string
country_code	string
series_id	string	Signal code: CPIH_YOY (per-COICOP-division year-over-year inflation) or INFLATION_BREADTH_3PCT (share of divisions above 3% YoY).
series_label	string	Human-readable label for the signal series, derived from the ONS CPIH COICOP division names.
value	float	Signal value in native units: percent year-over-year for CPIH_YOY; a 0-1 share for INFLATION_BREADTH_3PCT.
volatility_30d	float
momentum_3m	float
anomaly_flag	integer
forecast_1m	float
rank	integer

Sample rows

date	country	country_code	series_id	series_label	volatility_30d	momentum_3m	forecast_1m	rank
1988-01-01	United Kingdom	GBR	INFLATION_BREADTH_3PCT	Share of the 12 CPIH COICOP divisions with year-over-year inflation above 3%	—	—	—	—
1988-02-01	United Kingdom	GBR	INFLATION_BREADTH_3PCT	Share of the 12 CPIH COICOP divisions with year-over-year inflation above 3%	—	—	—	—
1988-03-01	United Kingdom	GBR	INFLATION_BREADTH_3PCT	Share of the 12 CPIH COICOP divisions with year-over-year inflation above 3%	—	—	—	—
1988-04-01	United Kingdom	GBR	INFLATION_BREADTH_3PCT	Share of the 12 CPIH COICOP divisions with year-over-year inflation above 3%	—	0	—	—
1988-05-01	United Kingdom	GBR	INFLATION_BREADTH_3PCT	Share of the 12 CPIH COICOP divisions with year-over-year inflation above 3%	—	0	—	—

Download sample data

Download the full sample snapshot for this dataset (sample rows, not the complete dataset).

Download sample CSV Download sample JSON

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/uk_price_heat_signals/uk_category_inflation_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/uk_price_heat_signals/uk_category_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/uk_price_heat_signals/uk_category_inflation_signals

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