What drives the held CPI changes, and what does each monthly release print?

Inflation months and price drivers. Part of what the twin can answer. Every figure below is the value the route serves, with its source; the raw response is at /api/twin/brain/macro/prices.

Descriptive, sourced: no model

Basis: sourced records (URL, sha256 or locator per row), no model.

On phones, each table row lists its labeled values. Open the JSON response for every receipt field.

Headline inflation, point to point

Month	Inflation	Edition	Source
2013-07	Inflation: 7.85%	Edition: 2016-05	Source: bb mei indicator vintages, p. 7, printed line "July 182.86 6.99 194.49 5.71 167.95 8.96 186.79 7.85 198.95 8.14 171.18 7.40"
2013-08	Inflation: 7.39%	Edition: 2016-05	Source: bb mei indicator vintages, p. 7, printed line "August 183.94 7.19 195.75 6.20 168.81 8.71 189.44 7.39 203.09 8.09 171.94 6.35"

Source locators for the table rows

2013-07

bb_mei_indicator_vintages · p. 7

2013-08

bb_mei_indicator_vintages · p. 7

2013-09

bb_mei_indicator_vintages · p. 7

2013-10

bb_mei_indicator_vintages · p. 7

2013-11

Growth, prices and monetary policy

Back to macro and prices

Which CPI divisions drive the held changes?

CPI contributions, 2025-01 to 2026-01

contribution of division i = weight_i x (index_i,to - index_i,from) / 100 / headline index_from x 100, in percentage points of headline inflation

Division	Contribution	Share of explained change	Weight
Food and non-alcoholic beverages	Contribution: 3.711 pp	Share of explained change: 43.5%

Not held

division drivers 2025-03 to 2026-03: weights x indices explain 86.9% of the printed change
division drivers 2023-24 to 2024-25: weights x indices explain 90.4% of the printed change

Sources

Pinned tables. macro_figures sha256 e16b6e498979; macro_bdpolicy sha256 3de54711f54f; macro_bodies sha256 87cd5ecbdb23; bb_mei_indicator_vintages sha256 7819e1e69678; bbs_qgdp_growth_vintages sha256 accdee94f3b1; budget_macro_pin2 sha256 8a0cc418f780

CPI contributions, 2025-02 to 2026-02

contribution of division i = weight_i x (index_i,to - index_i,from) / 100 / headline index_from x 100, in percentage points of headline inflation

Division	Contribution	Share of explained change	Weight
Food and non-alcoholic beverages	Contribution: 4.137 pp	Share of explained change: 45.1%	Weight: 44.89%
Housing, water, electricity, gas and other fuels	Contribution: 1.245 pp	Share of explained change: 13.6%	Weight: 14.85%
Clothing and footwear	Contribution: 0.778 pp	Share of explained change: 8.5%	Weight: 7.15%
Miscellaneous goods and services	Contribution: 0.776 pp	Share of explained change: 8.5%	Weight: 2.96%
Alcoholic beverages, tobacco and narcotics	Contribution: 0.419 pp	Share of explained change: 4.6%	Weight: 3.75%
Transportation	Contribution: 0.36 pp	Share of explained change: 3.9%	Weight: 5.6%
Furnishings, household equipment & maintenance	Contribution: 0.325 pp	Share of explained change: 3.5%	Weight: 5.2%
Education services	Contribution: 0.288 pp	Share of explained change: 3.1%	Weight: 3.65%
Restaurants and hotels	Contribution: 0.278 pp	Share of explained change: 3%	Weight: 2.2%
Communication	Contribution: 0.223 pp	Share of explained change: 2.4%	Weight: 2.85%
Health	Contribution: 0.176 pp	Share of explained change: 1.9%	Weight: 4.95%
Recreation and culture	Contribution: 0.173 pp	Share of explained change: 1.9%	Weight: 1.95%