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US-China Trade War Snapshot — 2018-2019, 20 Economies — free sample

Generated: 2026-09-29T07:01:27.094Z  |  Range: 2018–2019  |  Source: World Bank Open Data (CC BY 4.0)

Key findings

This report covers 3 economies and 1 indicator over 2018–2019, containing 6 published observations (100% of the 6 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 %)China6.07 6.41%—32019

GDP growth (annual %)

Latest reading is highest in China at 6.07% and lowest in Japan at -0.31%. Period average is 3.15%, with a cross-economy spread of 6.38 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. The largest covered value is 2.3× the smallest. 3 economies covered; latest observation year 2019.

Latest reading, by economy

China 6.07 United States 2.58 Japan -0.308

Ranked detail

Group average over the period: 3.15%. Cross-economy spread of the latest reading: 6.38 percentage points. A rate of change has no compound growth rate, so none is reported.
#EconomyLatest Period avgTrend pp/yr PctileTrend
1 China 6.07 6.41— 100
2 United States 2.58 2.78— 67
3 Japan -0.308 0.263— 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
China — — — — — -10.2% 2018 / 2019 —
United States — — — — — -12.9% 2018 / 2019 —
Japan — — — — — -137.0% 2018 / 2019 —
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
China 2 2 100% 2018–2019 0 —
United States 2 2 100% 2018–2019 0 —
Japan 2 2 100% 2018–2019 0 —

Full year-by-year data

Economy20182019
China6.766.07
United States2.972.58
Japan0.834-0.308
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 × 2 years = 6 cells; published: 6 (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.