China vs Sri Lanka: Resources to strengthen statistical capacity in developing countries
China
1.13 million usd
in 2023
Sri Lanka
1.29 million usd
in 2023
China rank
79th
Sri Lanka rank
77th
Resources to strengthen statistical capacity in developing countries over time
- China
- Sri Lanka
How they compare
Sri Lanka currently reports 1.29 million usd against 1.13 million usd in China, a difference of 159,250 usd.
That makes Sri Lanka's figure about 1.1 times China's.
The two have swapped places 3 times across 14 shared years of data; in 2010 it was China ahead.
China ranks 79th and Sri Lanka ranks 77th of 146 countries.
China has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | China | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 5.44 million usd | 1.64 million usd | 3.80 million usd | China |
| 2020s | 2.22 million usd | 1.52 million usd | 702,454 usd | China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, China or Sri Lanka?
- Sri Lanka, at 1.29 million usd against 1.13 million usd in China as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between China and Sri Lanka?
- 159,250 usd, with Sri Lanka ahead.
- How many years of comparable data are there for China and Sri Lanka?
- 14 years are reported by both, from 2010 to 2023.
- How do China and Sri Lanka rank globally for resources to strengthen statistical capacity in developing countries?
- China ranks 79th and Sri Lanka ranks 77th of 146 countries.
- Where does this data come from?
- Data from multiple sources compiled by the UN – processed by Our World in Data, published as Resources to strengthen statistical capacity in developing countries. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars).