Benefits incidence in 2nd quintile (%) - Unconditional Cash Transfers in Colombia
Colombia: Benefits incidence in 2nd quintile (%) - Unconditional Cash Transfers was 19.3% in 2022. ▲ Rising
Benefits incidence in 2nd quintile (%) - Unconditional Cash Transfers in Colombia, 2010–2022
Source: ASPIRE.
Analysis
In 2022, benefits incidence in 2nd quintile (%) - unconditional cash transfers in Colombia stood at 19.3%.
Compared with earlier readings it is up 2.8% on the previous year and up 50.1% over ten years.
Over the whole period, benefits incidence in 2nd quintile (%) - unconditional cash transfers in Colombia peaked at 29.7% in 2016 and was at its lowest, 3.9%, in 2014.
That places Colombia 17th out of 24 countries with data for 2022, putting it in the middle of the range.
The long-run direction has been consistently rising across the 11 years of available data.
Benefits incidence in 2nd quintile (%) - Unconditional Cash Transfers in Colombia, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 11.7% | — |
| 2011 | 7.9% | -32.6% |
| 2012 | 12.9% | +63.7% |
| 2014 | 3.9% | -70.0% |
| 2016 | 29.7% | +668.9% |
| 2017 | 14.7% | -50.5% |
| 2018 | 11.2% | -24.0% |
| 2019 | 27.2% | +143.2% |
| 2020 | 18.8% | -30.9% |
| 2021 | 18.8% | -0.2% |
| 2022 | 19.3% | +2.8% |
Colombia compared with similar countries
- Colombia's 19.3% is below the median for upper middle income countries, which is 22.6%, 85% of the median. (16 countries reporting)
- Colombia's 19.3% is above the median for Latin America & Caribbean, which is 19.2%, 1.0× the median. (6 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 14.9% | 3.9% | 29.7% | 8 |
| 2020s | 19.0% | 18.8% | 19.3% | 3 |
Countries ranked near Colombia
More work & labour data for Colombia
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.7218 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.6981 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.7453 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -1.81 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.1417 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 48,629 1000 No (2050)
- Population - Est. & Proj. — Rural population 6,104 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 23,624 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 23,456 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 47,081 1000 No (2100)
Frequently asked questions
- What is benefits incidence in 2nd quintile (%) - unconditional cash transfers in Colombia?
- Benefits incidence in 2nd quintile (%) - unconditional cash transfers in Colombia was 19.3% in 2022, according to ASPIRE.
- What is the highest benefits incidence in 2nd quintile (%) - unconditional cash transfers recorded in Colombia?
- The highest recorded value was 29.7% in 2016.
- What is the lowest benefits incidence in 2nd quintile (%) - unconditional cash transfers recorded in Colombia?
- The lowest recorded value was 3.9% in 2014.
- How does Colombia rank for benefits incidence in 2nd quintile (%) - unconditional cash transfers?
- Colombia ranks 17th out of 24 countries with data for 2022.
- Is benefits incidence in 2nd quintile (%) - unconditional cash transfers rising or falling in Colombia?
- Over the last ten years it is up 50.1%. The long-run trend across the full record is rising.
- Where does this Colombia data come from?
- The figures come from ASPIRE, published as part of Benefits incidence in 2nd quintile (%) - Unconditional Cash Transfers -rural. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 11 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Percentage of benefits going to the second quintile relative to the total benefits going to the population