Argentina vs Belarus: Beneficiary incidence in 3rd quintile (%) - Contributory Pensions

Argentina
21.3%
in 2022
Belarus
21.3%
in 2019
Argentina rank
11th
Belarus rank
10th

Beneficiary incidence in 3rd quintile (%) - Contributory Pensions over time

  • Argentina
  • Belarus
0510152025200620142022

How they compare

Belarus currently reports 21.3% against 21.3% in Argentina, a difference of 0.0%.

The two have swapped places 5 times across 8 shared years of data; in 2010 it was Argentina ahead.

Argentina ranks 11th and Belarus ranks 10th of 37 countries.

Argentina has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher beneficiary incidence in 3rd quintile (%) - contributory pensions, Argentina or Belarus?
Belarus, at 21.3% against 21.3% in Argentina as of 2019.
What is the difference in beneficiary incidence in 3rd quintile (%) - contributory pensions between Argentina and Belarus?
0.0%, with Belarus ahead.
How many years of comparable data are there for Argentina and Belarus?
8 years are reported by both, from 2010 to 2019.
How do Argentina and Belarus rank globally for beneficiary incidence in 3rd quintile (%) - contributory pensions?
Argentina ranks 11th and Belarus ranks 10th of 37 countries.
Where does this data come from?
ASPIRE, published as Beneficiary incidence in 3rd quintile (%) - Contributory Pensions -urban. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Argentina vs Belarus: Beneficiary incidence in 3rd quintile (%) - Contributory Pensions. Statizoid, drawing on ASPIRE. Retrieved 23 August 2026, from https://reference.statizoid.com/compare/beneficiary-incidence-in-3rd-quintile-percent-contributory-pensions-urban/argentina/belarus/

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About this data

Indicator
Beneficiary incidence in 3rd quintile (%) - Contributory Pensions -urban
Source
ASPIRE
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
37 places, 369 data points, 2002–2023
Last refreshed

Percentage of program beneficiaries in a quintile relative to the total number of beneficiaries in the population