FAO Model — Share of females in total AFS employment — Female — Value in Pakistan

Pakistan: FAO Model — Share of females in total AFS employment — Female — Value was 30.22 % in 2023. ▲ Rising

Latest (2023)
30.22 %
Change on year
up 0.4%
World rank
112th
of 137 countries
All-time high
30.22 %
in 2023
All-time low
19.47 %
in 2000
Years of data
24
2000–2023

FAO Model — Share of females in total AFS employment — Female — Value in Pakistan, 2000–2023

01020302000201120232000: 19.5 %2001: 19.5 %2002: 19.5 %2003: 20.3 %2004: 21.3 %2005: 22.2 %2006: 23.4 %2007: 24.9 %2008: 25.5 %2009: 26.2 %2010: 27.5 %2011: 28 %2012: 28.2 %2013: 28.6 %2014: 29.1 %2015: 29.2 %2016: 28.7 %2017: 27.9 %2018: 27.1 %2019: 29.1 %2020: 29.4 %2021: 30.1 %2022: 30.1 %2023: 30.2 %

Source: Food and Agriculture Organization of the United Nations. Measured in %.

Analysis

Pakistan recorded 30.22 % for fao model — share of females in total afs employment — female — value in 2023. That is the highest value across all 24 years on record.

That represents a change of up 0.4% on the previous year and up 5.6% over ten years.

Over the whole period, fao model — share of females in total afs employment — female — value in Pakistan peaked at 30.22 % in 2023 and was at its lowest, 19.47 %, in 2000.

Pakistan ranks 112th of 137 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 24 years of available data.

FAO Model — Share of females in total AFS employment — Female — Value in Pakistan, year by year

Annual values for FAO Model — Share of females in total AFS employment — Female — Value in Pakistan, 2000 to 2023.
Year % Change
2000 19.47 %
2001 19.52 % +0.3%
2002 19.48 % -0.2%
2003 20.33 % +4.4%
2004 21.29 % +4.7%
2005 22.23 % +4.4%
2006 23.42 % +5.4%
2007 24.94 % +6.5%
2008 25.54 % +2.4%
2009 26.18 % +2.5%
2010 27.54 % +5.2%
2011 28.01 % +1.7%
2012 28.25 % +0.9%
2013 28.63 % +1.3%
2014 29.07 % +1.5%
2015 29.16 % +0.3%
2016 28.71 % -1.5%
2017 27.94 % -2.7%
2018 27.14 % -2.9%
2019 29.1 % +7.2%
2020 29.43 % +1.1%
2021 30.14 % +2.4%
2022 30.11 % -0.1%
2023 30.22 % +0.4%

Pakistan compared with similar countries

  • Pakistan's 30.22 % is below the median for lower middle income countries, which is 46.08 %, 66% of the median. (32 countries reporting)
  • Pakistan's 30.22 % is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 16.45 %, 1.8× the median. (12 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 22.24 % 19.47 % 26.18 % 10
2010s 28.36 % 27.14 % 29.16 % 10
2020s 29.98 % 29.43 % 30.22 % 4

Countries ranked near Pakistan

  1. 109 Uruguay 31.32 % compare
  2. 110 Sweden 31.14 % compare
  3. 111 Guatemala 30.6 % compare
  4. 113 Botswana 30.21 % compare
  5. 114 Honduras 29.6 % compare
  6. 115 New Caledonia 29.54 % compare

See the full ranking of 185 places →

More agriculture & rural data for Pakistan

All data for Pakistan →

Frequently asked questions

What is fao model — share of females in total afs employment — female — value in Pakistan?
Fao model — share of females in total afs employment — female — value in Pakistan was 30.22 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — share of females in total afs employment — female — value recorded in Pakistan?
The highest recorded value was 30.22 % in 2023.
What is the lowest fao model — share of females in total afs employment — female — value recorded in Pakistan?
The lowest recorded value was 19.47 % in 2000.
How does Pakistan rank for fao model — share of females in total afs employment — female — value?
Pakistan ranks 112th out of 137 countries with data for 2023.
Is fao model — share of females in total afs employment — female — value rising or falling in Pakistan?
Over the last ten years it is up 5.6%. The long-run trend across the full record is rising.
Where does this Pakistan data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of females in total AFS employment — Female — Value. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 24 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

Share, cite or embed this page

Cite this page

FAO Model — Share of females in total AFS employment — Female — Value in Pakistan. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://agriculture.statizoid.com/stat/fao-model-share-of-females-in-total-afs-employment-female-value/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-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/fao-model-share-of-females-in-total-afs-employment-female-value/pakistan/">FAO Model — Share of females in total AFS employment — Female — Value in Pakistan</a> — Statizoid

About this data

Indicator
FAO Model — Share of females in total AFS employment — Female — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 4,376 data points, 2000–2023
Last refreshed

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.