Argentina vs Kyrgyzstan: Average per capita transfer held by 1st quintile (poorest) -All
Argentina
2.68 preT
in 2022
Kyrgyzstan
2.94 preT
in 2020
Argentina rank
19th
Kyrgyzstan rank
17th
Average per capita transfer held by 1st quintile (poorest) -All over time
- Argentina
- Kyrgyzstan
How they compare
Kyrgyzstan currently reports 2.94 preT against 2.68 preT in Argentina, a difference of 0.26 preT.
That makes Kyrgyzstan's figure about 1.1 times Argentina's.
The two have swapped places 2 times across 10 shared years of data; in 2006 it was Argentina ahead.
Argentina ranks 19th and Kyrgyzstan ranks 17th of 37 countries.
Argentina has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Argentina | Kyrgyzstan | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2.11 preT | 1.05 preT | 1.06 preT | Argentina |
| 2010s | 4.19 preT | 2.62 preT | 1.57 preT | Argentina |
| 2020s | 3.02 preT | 2.94 preT | 0.0779 preT | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher average per capita transfer held by 1st quintile (poorest) -all, Argentina or Kyrgyzstan?
- Kyrgyzstan, at 2.94 preT against 2.68 preT in Argentina as of 2020.
- What is the difference in average per capita transfer held by 1st quintile (poorest) -all between Argentina and Kyrgyzstan?
- 0.26 preT, with Kyrgyzstan ahead.
- How many years of comparable data are there for Argentina and Kyrgyzstan?
- 10 years are reported by both, from 2006 to 2020.
- How do Argentina and Kyrgyzstan rank globally for average per capita transfer held by 1st quintile (poorest) -all?
- Argentina ranks 19th and Kyrgyzstan ranks 17th of 37 countries.
- Where does this data come from?
- ASPIRE, published as Average per capita transfer held by 1st quintile (poorest) -All Social Protection and Labor (preT). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Average transfer amount of Social Protection and Labor programs among program beneficiaries (per capita, daily $ppp)