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

Asia-Pacific Macro Snapshot — CN, JP, IN, KR, ID — free sample

Generated: 2026-09-24T04:43:13.023Z  |  Range: 2015–2025  |  Source: World Bank Open Data (CC BY 4.0)

Key findings

This report covers 3 economies and 1 indicator over 2015–2025, containing 33 published observations (100% of the 33 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.

IndicatorRank 1Latest valueCAGR / period avg TrendEconomiesLatest yr
GDP growth (annual %)India7.57 6.07%+0.02 pp32025

GDP growth (annual %)

Latest reading is highest in India at 7.57% and lowest in Japan at 1.19%. Period average is 4.14%, with a cross-economy spread of 6.37 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 India (+0.02 pp/yr, percentage points per year, R² 0) and weakest in China (-0.24 pp/yr, R² 0.195). Largest acceleration — last three years against the three before — is Japan at +528.5% percentage points. The largest covered value is 6.3× the smallest. 3 economies covered; latest observation year 2025.

Latest reading, by economy

India 7.57 China 4.96 Japan 1.19

Ranked detail

Group average over the period: 4.14%. Cross-economy spread of the latest reading: 6.37 percentage points. A rate of change has no compound growth rate, so none is reported.
#EconomyLatest Period avgTrend pp/yr PctileTrend
1 India 7.57 6.07+0.02 100
2 China 4.96 5.71-0.24 67
3 Japan 1.19 0.631-0.04 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

EconomyTrend pp/yrTrend R² MomentumHalf-period shiftVolatility Latest YoYPeak / trough yrOutlier years
India +0.02 0.00 +0.9% +111.0% 122.9 +6.6% 2021 / 2020
China -0.24 0.20 -25.7% +68.4% 94.6 +0.0% 2021 / 2020 2021 (+266%)
Japan -0.04 0.01 +528.5% +388.6% 476.2 +597.0% 2021 / 2020 2020 (-1288%)
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

EconomyPublishedExpectedCoverage SpanYears behind newestMissing years
India 11 11 100% 2015–2025 0
China 11 11 100% 2015–2025 0
Japan 11 11 100% 2015–2025 0

Full year-by-year data

Economy20152016201720182019202020212022202320242025
India8.008.266.806.453.87-5.789.697.617.217.107.57
China6.986.776.896.766.072.348.573.135.424.964.96
Japan1.800.7051.620.834-0.308-4.283.561.330.721-0.2401.19
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 × 11 years = 33 cells; published: 33 (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.