Georgia vs Honduras: Benefits incidence in 3rd quintile (%) - All Private Transfers

Georgia
18.1%
in 2021
Honduras
18.1%
in 2019
Georgia rank
12th
Honduras rank
13th

Benefits incidence in 3rd quintile (%) - All Private Transfers over time

  • Georgia
  • Honduras
05101520200820142021

How they compare

Georgia currently reports 18.1% against 18.1% in Honduras, a difference of 0.0%.

The two have swapped places 2 times across 7 shared years of data; in 2011 it was Honduras ahead.

Georgia ranks 12th and Honduras ranks 13th of 36 countries.

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

Frequently asked questions

Which has higher benefits incidence in 3rd quintile (%) - all private transfers, Georgia or Honduras?
Georgia, at 18.1% against 18.1% in Honduras as of 2021.
What is the difference in benefits incidence in 3rd quintile (%) - all private transfers between Georgia and Honduras?
0.0%, with Georgia ahead.
How many years of comparable data are there for Georgia and Honduras?
7 years are reported by both, from 2011 to 2019.
How do Georgia and Honduras rank globally for benefits incidence in 3rd quintile (%) - all private transfers?
Georgia ranks 12th and Honduras ranks 13th of 36 countries.
Where does this data come from?
ASPIRE, published as Benefits incidence in 3rd quintile (%) - All Private Transfers (preT). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Georgia vs Honduras: Benefits incidence in 3rd quintile (%) - All Private Transfers. Statizoid, drawing on ASPIRE. Retrieved 02 September 2026, from https://reference.statizoid.com/compare/benefits-incidence-in-3rd-quintile-percent-all-private-transfers-pret/georgia/honduras/

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About this data

Indicator
Benefits incidence in 3rd quintile (%) - All Private Transfers (preT)
Unit
preT
Source
ASPIRE
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
36 places, 351 data points, 2002–2023
Last refreshed

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