Free sample. This preview shows 1 of 5 indicator(s) and 3 of 20 economies, and omits the share, trend, momentum and full year-by-year sections. The complete report is at GET /report/shock-inflation for a small USDC payment over x402, as HTML, JSON or CSV. A free machine-readable cross-section is at GET /preview/shock-inflation.

Global Inflation Shock Snapshot — 2021-2023, 20 Economies — free sample

Generated: 2026-09-24T04:43:04.307Z | Range: 2021–2023 | Source: World Bank Open Data (CC BY 4.0)

Key findings

This report covers 3 economies and 1 indicator over 2021–2023, containing 9 published observations (100% of the 9 requested year × economy cells). Every figure is reproduced from World Bank Open Data and recomputed into growth, share, trend-fit, momentum, volatility, concentration and data-quality views. Values are also available as JSON and CSV from the same endpoint.

Coverage is 100% of the requested grid (9 of 9 economy-year cells across 1 indicator × 3 economies).
Widest rate spread: GDP growth (annual %) differs by 4.7 pp across economies (China vs Japan).

Indicator	Rank 1	Latest value	CAGR / period avg	Trend	Economies	Latest yr
GDP growth (annual %)	China	5.42	5.71%	-1.58 pp	3	2023

GDP growth (annual %)

Latest reading is highest in China at 5.42% and lowest in Japan at 0.72%. Period average is 3.82%, with a cross-economy spread of 4.70 percentage points. This is a rate of change rather than a level, so compound growth and a growth index are not defined for it; the trend is reported in percentage points per year. Fitted trend is steepest upward in Japan (-1.42 pp/yr, percentage points per year, R² 0.902) and weakest in United States (-1.61 pp/yr, R² 0.656). The largest covered value is 7.5× the smallest. 3 economies covered; latest observation year 2023.

Latest reading, by economy

Ranked detail

Group average over the period: 3.82%. Cross-economy spread of the latest reading: 4.70 percentage points. A rate of change has no compound growth rate, so none is reported.

#	Economy	Latest	Period avg	Trend pp/yr	Pctile
1	China	5.42	5.71	-1.58	100
2	United States	2.93	3.87	-1.61	67
3	Japan	0.721	1.87	-1.42	33

Period average is the mean of the annual readings across the covered years. Trend pp/yr is the ordinary-least-squares slope in percentage points per year — the unit this indicator is already measured in. Percentile ranks this economy within the covered group.

Trend and dynamics

Economy	Trend pp/yr	Trend R²	Momentum	Half-period shift	Volatility	Latest YoY	Peak / trough yr	Outlier years
China	-1.58	0.33	—	—	96.3	+72.8%	2021 / 2022	—
United States	-1.61	0.66	—	—	53.2	+16.3%	2021 / 2022	—
Japan	-1.42	0.90	—	—	11.9	-45.9%	2021 / 2023	—

Trend is the ordinary-least-squares fit of value on year, reported with its R² — how much of the movement the straight line explains, in percentage points per year because this series is already a rate. Momentum is the mean change of the last three years minus the mean of the three before it, in percentage points. Half-period shift compares the second half of the window against the first. Volatility is the standard deviation of year-over-year change. Outlier years exceed 2.5 standard deviations from that economy's own average change.

Data quality

Economy	Published	Expected	Coverage	Span	Missing years
China	3	3	100%	2021–2023	—
United States	3	3	100%	2021–2023	—
Japan	3	3	100%	2021–2023	—

Full year-by-year data

Economy	2021	2022	2023
China	8.57	3.13	5.42
United States	6.15	2.52	2.93
Japan	3.56	1.33	0.721

MethodologySeries are pulled from the official source API and null observations dropped. CAGR = (end/start)^(1/years) − 1. Index uses the first year of the range as 100. Trend is an OLS fit of value on year, reported as a percentage of the period mean alongside its R². Volatility = standard deviation of year-over-year percentage change (percentage points). Momentum compares the last three years against the three before. Share = economy value ÷ sum of the covered economies. HHI = sum of squared shares; its reciprocal estimates the number of evenly sized economies. Cross-indicator correlation is Pearson's r on pooled year-over-year changes.
CoverageRequested: 1 indicator(s) × 3 economies × 3 years = 9 cells; published: 9 (100.0%). Sparse indicators are declared in the Data quality section of each indicator.
FormatsThis document is the HTML delivery. Append ?format=json for the full structured payload (series plus every derived metric) or ?format=csv for the tidy long-format panel. The JSON schema is published at /schema/report.json.
LicenceData © World Bank Open Data (CC BY 4.0), attribution required. Generated by an automated pipeline; research reference only, not investment advice.
DisclaimerValues are reproduced as published by the source; some years may be estimates, nowcasts or subsequently revised figures. Correlations are descriptive statistics, not causal claims.