Moldova vs Peru: Benefits incidence in 4th: Domestic Private … Domestic urban

Moldova
28.2%
in 2018
Peru
24.7%
in 2022
Moldova rank
2nd
Peru rank
5th

Benefits incidence in 4th: Domestic Private … Domestic urban over time

  • Moldova
  • Peru
0102030200820152022

How they compare

Moldova currently reports 28.2% against 24.7% in Peru, a difference of 3.5%.

That makes Moldova's figure about 1.1 times Peru's.

The two have swapped places 1 time across 5 shared years of data; in 2010 it was Peru ahead.

Moldova ranks 2nd and Peru ranks 5th of 31 countries.

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

Frequently asked questions

Which has higher benefits incidence in 4th quintile (%) - domestic private transfers, Moldova or Peru?
Moldova, at 28.2% against 24.7% in Peru as of 2018.
What is the difference in benefits incidence in 4th quintile (%) - domestic private transfers between Moldova and Peru?
3.5%, with Moldova ahead.
How many years of comparable data are there for Moldova and Peru?
5 years are reported by both, from 2010 to 2018.
How do Moldova and Peru rank globally for benefits incidence in 4th quintile (%) - domestic private transfers?
Moldova ranks 2nd and Peru ranks 5th of 31 countries.
Where does this data come from?
ASPIRE, published as Benefits incidence in 4th quintile (%) - Domestic Private Transfers -urban. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Moldova vs Peru: Benefits incidence in 4th quintile (%) - Domestic Private Transfers. Statizoid, drawing on ASPIRE. Retrieved 13 November 2026, from https://labour.statizoid.com/compare/benefits-incidence-in-4th-quintile-percent-domestic-private-transfers-urban/moldova/peru/

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About this data

Indicator
Benefits incidence in 4th quintile (%) - Domestic Private Transfers -urban
Source
ASPIRE
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
31 places, 316 data points, 2003–2023
Last refreshed

Percentage of benefits going to the fourth quintile relative to the total benefits going to the population