Sample report. Made by Provetale's real pipeline on October 6, 2026 from asia-economies-world-bank.csv. World Bank figures for GDP in current US dollars (licence CC BY 4.0) and population (ODC-PDDL), through the open mirrors github.com/datasets/gdp and github.com/datasets/population. Provetale only joined the two tables.
Public statistics
Population and economic patterns in Asia-Pacific regions and countries
Over the past 24 years, GDP in the Asia-Pacific region grew from 2.8T to 26.3T, with an average annual growth rate of +8.6%, though the pace is slowing.
Every statement was checked against the calculation. Press “Why?” on any of them to open it.
What you should notice
What the data shows
Over the past 24 years, GDP in the Asia-Pacific region grew from 2.8T to 26.3T, with an average annual growth rate of +8.6%, though the pace is slowing.
What the data shows
A small number of countries dominate the region: the top 3 account for 86% of GDP and 82% of population, with China alone holding 63% of GDP and 39% of population.
What the data shows
East Asia's GDP is 14.4 times larger than Southeast Asia's, and its population is 6.5 times larger.
What it means
The region's economic and population figures are highly concentrated, with averages often pulled up by a few large values, making typical figures a better guide than averages.
Headline movements
Overall growth in population and GDP
What the data shows
Over the past 24 years, GDP in the Asia-Pacific region rose from 2.8T to 26.3T.
What the data shows
The average growth rate for GDP over this period was +8.6% per year, but the pace is slowing.
What it means
This shows the region's economic output has increased over time, though the rate of growth is not as fast as before.
What the data shows
During the same period, the region's population increased from 3.1B to 3.9B.
What the data shows
The average growth rate for population was +1% per year.
What it means
Population growth has been steady but slower than economic growth.
Trend · gdp_usd
gdp_usd is trending up
From 2.8T to 26.3T over 24 years (+8.6% per year on average); the pace is slowing.
- 2.8T
- Start
- 26.3T
- Latest
- +8.6%
- Per period
Based on only 24 observations.
Trend · population
population is trending up
From 3.1B to 3.9B over 24 years (+1% per year on average).
- 3.1B
- Start
- 3.9B
- Latest
- +1%
- Per period
Based on only 24 observations.
Hidden signals
Concentration of GDP and population in a few countries
What the data shows
China holds 63% of the region's GDP.
What the data shows
The top 3 country groups account for 86% of the region's GDP.
What it means
This means a small number of countries account for most of the region's economic output.
What the data shows
China holds 39% of the region's population.
What the data shows
The top 3 country groups account for 82% of the region's population.
What it means
Population is also concentrated in a few countries.
Concentration · gdp_usd
China holds 63% of gdp_usd
The top 3 country groups account for 86% of gdp_usd. It behaves like 2.3 equal-sized groups out of 11.
- China63.1%
- India13.6%
- South Korea9.4%
- Indonesia5.5%
- Thailand2.6%
- 63%
- Top group
- 86%
- Top 3
- 11
- Groups
Concentration · population
China holds 39% of population
The top 3 country groups account for 82% of population. It behaves like 3.4 equal-sized groups out of 11.
- China38.6%
- India36.1%
- Indonesia7.2%
- Pakistan5.8%
- Bangladesh4.4%
- 39%
- Top group
- 82%
- Top 3
- 11
- Groups
Skewed distribution of GDP and population
What the data shows
The region's GDP data is right-skewed, with the top 1% of values being 55.6 times larger than the typical value.
What it means
This means averages can be misleading, as a few very large values pull the overall number up.
What the data shows
The region's population data is also right-skewed, with the top 1% of values being 14.2 times larger than the typical value.
What it means
A few large countries dominate the population figures, so averages may not reflect what is common across the region.
Distribution · gdp_usd
A few large values pull gdp_usd up
gdp_usd is right-skewed with a long tail: the top 1% is 55.6× the typical value. Averages can mislead here; the middle is a better guide.
- 264
- Rows
Distribution · population
A few large values pull population up
population is right-skewed with a long tail: the top 1% is 14.2× the typical value. Averages can mislead here; the middle is a better guide.
- 264
- Rows
Relationship between population and GDP
What the data shows
Across 264 rows of data, population and GDP move together, with a strong relationship (r = 0.67).
Relationship · population
population and gdp_usd rise and fall together
A strong relationship across 264 rows (r = 0.67). It shows the two move together, not that one causes the other.
- 264
- Rows compared
Segments and concentration
Differences between subregions in GDP and population
What the data shows
East Asia's average GDP is 4.8T, while Southeast Asia's is 330.7B.
What the data shows
East Asia's GDP is 14.4 times larger than Southeast Asia's.
What it means
East Asia's economic output is much larger than Southeast Asia's.
What the data shows
East Asia's average population is 699.5M, while Southeast Asia's is 108.1M.
What the data shows
East Asia's population is 6.5 times larger than Southeast Asia's.
What it means
East Asia also has a much larger population than Southeast Asia.
Segment difference · gdp_usd
East Asia averages 14.4× Southeast Asia on gdp_usd
Average gdp_usd: East Asia 4.8T, Southeast Asia 330.7B, across 3 groups.
- East Asia4.8T
- South Asia457.3B
- Southeast Asia330.7B
- East Asia · 4.8T
- Highest
- Southeast Asia · 330.7B
- Lowest
Segment difference · population
East Asia averages 6.5× Southeast Asia on population
Average population: East Asia 699.5M, Southeast Asia 108.1M, across 3 groups.
- East Asia699.5M
- South Asia333.5M
- Southeast Asia108.1M
- East Asia · 699.5M
- Highest
- Southeast Asia · 108.1M
- Lowest
Extreme differences between countries
What the data shows
China's average GDP is 8.3T, while Cambodia's is 15B.
What the data shows
China's GDP is 551.6 times larger than Cambodia's, but this comparison is noticeably weaker in one half of the data and may not hold consistently.
What it means
The difference in economic output between the largest and smallest countries is extreme.
What the data shows
China's average population is 1.3B, while Cambodia's is 14.9M.
What the data shows
China's population is 90.7 times larger than Cambodia's.
What it means
Population differences between countries are also very large.
Segment difference · gdp_usd
China averages 551.6× Cambodia on gdp_usd
Average gdp_usd: China 8.3T, Cambodia 15B, across 11 groups.
- China8.3T
- India1.8T
- South Korea1.2T
- Indonesia725.8B
- Thailand342.9B
- Pakistan234.1B
- Bangladesh188.2B
- Sri Lanka58.1B
- Nepal20.2B
- Cambodia15B
- China · 8.3T
- Highest
- Cambodia · 15B
- Lowest
Noticeably weaker in one half of the data, so it may not hold.
Segment difference · population
China averages 90.7× Cambodia on population
Average population: China 1.3B, Cambodia 14.9M, across 11 groups.
- China1.3B
- India1.3B
- Indonesia250.3M
- Pakistan202.5M
- Bangladesh153.9M
- Thailand68.6M
- South Korea49.9M
- Nepal27.3M
- Sri Lanka20.9M
- Cambodia14.9M
- China · 1.3B
- Highest
- Cambodia · 14.9M
- Lowest
Risks to watch
Unusual values in population and GDP data
What the data shows
There are 48 unusual population values, making up 18.2% of the data, all of which are unusually high.
What it means
These unusual values may indicate data quality issues or extreme cases.
What the data shows
There are 27 unusual GDP values, making up 10.2% of the data, all of which are unusually high.
What it means
These unusual GDP values may also point to data quality issues or extreme cases, and this pattern is noticeably weaker in one half of the data.
Unusual values · population
48 unusual population values
18.2% of rows fall outside the normal range of -289.3M to 557M.
- 48
- Unusually high
- 0
- Unusually low
Unusual values · gdp_usd
27 unusual gdp_usd values
10.2% of rows fall outside the normal range of -1.2T to 2.2T.
- 27
- Unusually high
- 0
- Unusually low
Noticeably weaker in one half of the data, so it may not hold.
Questions worth investigating
Your data raises these but cannot answer them.
- What factors contribute to the extreme concentration of GDP in a few countries?
- How do the unusual values in the data affect the overall trends?
- Why does the pace of GDP growth appear to be slowing?
- What explains the differences in population growth rates between subregions?
- How do smaller countries in the region compare in terms of economic efficiency relative to population size?
The evidence behind this report
Every statement above rests on one or more of these findings.
How this report was made
Provetale examined 264 rows and produced 26 findings. It scored 23 candidate patterns; 14 were surprising, material and steady enough to keep. Every figure in this report comes from calculations on your data, never from the AI model.
The writing is done by an AI model that is only shown the findings, never your rows. Each statement it wrote was then checked by ordinary code against the evidence it cites: its numbers, dates, group names and wording. Statements checked and passed: 37. Left out because they did not pass: 1.
Analysis engine 3.1.0 · scoring 4.0.0 · writing and checking prompts 2.0.0
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