Benefits incidence in 1st quintile (poorest) (%) -All Social in Pakistan

Pakistan: Benefits incidence in 1st quintile (poorest) (%) -All Social was 6.0% in 2018. ▲ Rising

Latest (2018)
6.0%
Change on year
down 20.2%
World rank
32nd
of 36 countries
All-time high
7.5%
in 2015
All-time low
4.5%
in 2007
Years of data
5
2007–2018

Benefits incidence in 1st quintile (poorest) (%) -All Social in Pakistan, 2007–2018

024682007201220182007: 4.52009: 5.32013: 7.32015: 7.52018: 6

Source: ASPIRE.

Analysis

In 2018, benefits incidence in 1st quintile (poorest) (%) -all social in Pakistan stood at 6.0%.

The figure is down 20.2% on the previous year and up 32.5% over ten years.

Over the whole period, benefits incidence in 1st quintile (poorest) (%) -all social in Pakistan peaked at 7.5% in 2015 and was at its lowest, 4.5%, in 2007.

That places Pakistan 32nd out of 36 countries with data for 2018, putting it in the bottom quarter.

Benefits incidence in 1st quintile (poorest) (%) -All Social in Pakistan, year by year

Annual values for Benefits incidence in 1st quintile (poorest) (%) -All Social Protection and Labor -rural in Pakistan, 2007 to 2018.
Year Value Change
2007 4.5%
2009 5.3% +17.4%
2013 7.3% +38.8%
2015 7.5% +1.9%
2018 6.0% -20.2%

Pakistan compared with similar countries

  • Pakistan's 6.0% is below the median for lower middle income countries, which is 9.5%, 62% of the median. (5 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 4.9% 4.5% 5.3% 2
2010s 6.9% 6.0% 7.5% 3

Countries ranked near Pakistan

  1. 29 Chile 8.1% compare
  2. 30 Türkiye 6.5% compare
  3. 31 Brazil 6.3% compare
  4. 33 Côte d'Ivoire 1.8% compare
  5. 34 Thailand 1.4% compare
  6. 35 Colombia 0.9% compare

See the full ranking of 36 places →

More work & labour data for Pakistan

All data for Pakistan →

Frequently asked questions

What is benefits incidence in 1st quintile (poorest) (%) -all social in Pakistan?
Benefits incidence in 1st quintile (poorest) (%) -all social in Pakistan was 6.0% in 2018, according to ASPIRE.
What is the highest benefits incidence in 1st quintile (poorest) (%) -all social recorded in Pakistan?
The highest recorded value was 7.5% in 2015.
What is the lowest benefits incidence in 1st quintile (poorest) (%) -all social recorded in Pakistan?
The lowest recorded value was 4.5% in 2007.
How does Pakistan rank for benefits incidence in 1st quintile (poorest) (%) -all social?
Pakistan ranks 32nd out of 36 countries with data for 2018.
Is benefits incidence in 1st quintile (poorest) (%) -all social rising or falling in Pakistan?
Over the last ten years it is up 32.5%. The long-run trend across the full record is rising.
Where does this Pakistan data come from?
The figures come from ASPIRE, published as part of Benefits incidence in 1st quintile (poorest) (%) -All Social Protection and Labor -rural. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 5 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

Share, cite or embed this page

Cite this page

Benefits incidence in 1st quintile (poorest) (%) -All Social in Pakistan. Statizoid, drawing on ASPIRE. Retrieved 16 September 2026, from https://labour.statizoid.com/stat/benefits-incidence-in-1st-quintile-poorest-percent-all-social-protection-and-labor-rural/pakistan/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://labour.statizoid.com/stat/benefits-incidence-in-1st-quintile-poorest-percent-all-social-protection-and-labor-rural/pakistan/">Benefits incidence in 1st quintile (poorest) (%) -All Social in Pakistan</a> — Statizoid

About this data

Indicator
Benefits incidence in 1st quintile (poorest) (%) -All Social Protection and Labor -rural
Source
ASPIRE
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
36 places, 352 data points, 2002–2023
Last refreshed

Percentage of benefits going to the 1st quintile (poorest) relative to the total benefits going to the population