South Africa vs Thailand: Countries with a fully funded national statistical plan

South Africa
1 number
in 2024
Thailand
1 number
in 2024
South Africa rank
1st
Thailand rank
1st

Countries with a fully funded national statistical plan over time

  • South Africa
  • Thailand
00.20.40.60.81201920212024

How they compare

South Africa currently reports 1 number against 1 number in Thailand, a difference of 0 number.

Across all 6 years both countries report, Thailand has been ahead every year.

South Africa ranks 1st and Thailand ranks 1st of 141 countries.

Thailand has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade South Africa Thailand Difference Ahead
2010s 0 number 1 number 1 number Thailand
2020s 0.4 number 1 number 0.6 number Thailand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher countries with a fully funded national statistical plan, South Africa or Thailand?
South Africa, at 1 number against 1 number in Thailand as of 2024.
What is the difference in countries with a fully funded national statistical plan between South Africa and Thailand?
0 number, with South Africa ahead.
How many years of comparable data are there for South Africa and Thailand?
6 years are reported by both, from 2019 to 2024.
How do South Africa and Thailand rank globally for countries with a fully funded national statistical plan?
South Africa ranks 1st and Thailand ranks 1st of 141 countries.
Where does this data come from?
PARIS21 SDG Survey – processed by Our World in Data, published as Countries with a fully funded national statistical plan. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Countries with a fully funded national statistical plan
Unit
number
Source
PARIS21 SDG Survey – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
141 places, 808 data points, 2019–2024
Last refreshed

Countries with national statistical plans that are fully funded (1 = YES; 0 = NO)