Benefits incidence in 5th quintile (richest) (%) - Domestic Private in Colombia

Colombia: Benefits incidence in 5th quintile (richest) (%) - Domestic Private was 30.5% in 2022. ▼ Falling

Latest (2022)
30.5%
Change on year
up 2.6%
World rank
21st
of 30 countries
All-time high
43.0%
in 2011
All-time low
27.0%
in 2014
Years of data
12
2010–2022

Benefits incidence in 5th quintile (richest) (%) - Domestic Private in Colombia, 2010–2022

0102030402010201620222010: 302011: 432012: 39.42014: 272015: 33.72016: 32.62017: 32.72018: 29.42019: 30.32020: 31.32021: 29.72022: 30.5

Source: ASPIRE.

Analysis

The most recent figure for benefits incidence in 5th quintile (richest) (%) - domestic private in Colombia is 30.5%, measured in 2022.

That represents a change of up 2.6% on the previous year and down 22.6% over ten years.

Over the whole period, benefits incidence in 5th quintile (richest) (%) - domestic private in Colombia peaked at 43.0% in 2011 and was at its lowest, 27.0%, in 2014.

That places Colombia 21st out of 30 countries with data for 2022, putting it in the middle of the range.

The long-run direction has been consistently falling across the 12 years of available data.

Benefits incidence in 5th quintile (richest) (%) - Domestic Private in Colombia, year by year

Annual values for Benefits incidence in 5th quintile (richest) (%) - Domestic Private Transfers -rural in Colombia, 2010 to 2022.
Year Value Change
2010 30.0%
2011 43.0% +43.6%
2012 39.4% -8.5%
2014 27.0% -31.4%
2015 33.7% +24.9%
2016 32.6% -3.4%
2017 32.7% +0.5%
2018 29.4% -10.1%
2019 30.3% +3.0%
2020 31.3% +3.3%
2021 29.7% -5.2%
2022 30.5% +2.6%

Colombia compared with similar countries

  • Colombia's 30.5% is below the median for upper middle income countries, which is 33.2%, 92% of the median. (18 countries reporting)
  • Colombia's 30.5% is above the median for Latin America & Caribbean, which is 29.7%, 1.0× the median. (14 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 33.1% 27.0% 43.0% 9
2020s 30.5% 29.7% 31.3% 3

Countries ranked near Colombia

  1. 18 Peru 32.9% compare
  2. 19 Republic of Moldova 32.3% compare
  3. 20 Honduras 31.7% compare
  4. 22 Panama 30.2% compare
  5. 23 Mexico 29.3% compare
  6. 24 Brazil 29.2% compare

See the full ranking of 30 places →

More work & labour data for Colombia

All data for Colombia →

Frequently asked questions

What is benefits incidence in 5th quintile (richest) (%) - domestic private in Colombia?
Benefits incidence in 5th quintile (richest) (%) - domestic private in Colombia was 30.5% in 2022, according to ASPIRE.
What is the highest benefits incidence in 5th quintile (richest) (%) - domestic private recorded in Colombia?
The highest recorded value was 43.0% in 2011.
What is the lowest benefits incidence in 5th quintile (richest) (%) - domestic private recorded in Colombia?
The lowest recorded value was 27.0% in 2014.
How does Colombia rank for benefits incidence in 5th quintile (richest) (%) - domestic private?
Colombia ranks 21st out of 30 countries with data for 2022.
Is benefits incidence in 5th quintile (richest) (%) - domestic private rising or falling in Colombia?
Over the last ten years it is down 22.6%. The long-run trend across the full record is falling.
Where does this Colombia data come from?
The figures come from ASPIRE, published as part of Benefits incidence in 5th quintile (richest) (%) - Domestic Private Transfers -rural. Statizoid updates them automatically from the source API.

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Benefits incidence in 5th quintile (richest) (%) - Domestic Private in Colombia. Statizoid, drawing on ASPIRE. Retrieved 14 September 2026, from https://labour.statizoid.com/stat/benefits-incidence-in-5th-quintile-richest-percent-domestic-private-transfers-rural/colombia/

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About this data

Indicator
Benefits incidence in 5th quintile (richest) (%) - Domestic Private Transfers -rural
Source
ASPIRE
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
30 places, 295 data points, 2003–2023
Last refreshed

Percentage of benefits going to the richestquintile relative to the total benefits going to the population