Cambodia vs China: Resources to strengthen statistical capacity in developing countries
Cambodia
1.01 million usd
in 2023
China
1.13 million usd
in 2023
Cambodia rank
82nd
China rank
79th
Resources to strengthen statistical capacity in developing countries over time
- Cambodia
- China
How they compare
China currently reports 1.13 million usd against 1.01 million usd in Cambodia, a difference of 123,280 usd.
That makes China's figure about 1.1 times Cambodia's.
The two have swapped places 3 times across 14 shared years of data; in 2010 it was Cambodia ahead.
Cambodia ranks 82nd and China ranks 79th of 146 countries.
Across the 2 decades both report, Cambodia averaged higher in 1 and China in 1.
Head to head by decade
| Decade | Cambodia | China | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.69 million usd | 5.44 million usd | 1.74 million usd | China |
| 2020s | 2.63 million usd | 2.22 million usd | 412,376 usd | Cambodia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Cambodia or China?
- China, at 1.13 million usd against 1.01 million usd in Cambodia as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Cambodia and China?
- 123,280 usd, with China ahead.
- How many years of comparable data are there for Cambodia and China?
- 14 years are reported by both, from 2010 to 2023.
- How do Cambodia and China rank globally for resources to strengthen statistical capacity in developing countries?
- Cambodia ranks 82nd and China ranks 79th 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).