FAO Model — Share of non-agricultural AFS employment in total AFS in Kyrgyzstan

Kyrgyzstan: FAO Model — Share of non-agricultural AFS employment in total AFS was 49.2 % in 2023. ▲ Rising

Latest (2023)
49.2 %
Change on year
up 0.2%
World rank
70th
of 137 countries
All-time high
52.55 %
in 2019
All-time low
36.21 %
in 2014
Years of data
24
2000–2023

FAO Model — Share of non-agricultural AFS employment in total AFS in Kyrgyzstan, 2000–2023

02040602000201120232000: 36.5 %2001: 36.9 %2002: 36.6 %2003: 37.1 %2004: 37.7 %2005: 37.3 %2006: 37.8 %2007: 38.7 %2008: 39.8 %2009: 40.2 %2010: 39.8 %2011: 39.3 %2012: 38.4 %2013: 37.5 %2014: 36.2 %2015: 38.6 %2016: 40.4 %2017: 44.5 %2018: 45.3 %2019: 52.5 %2020: 49.5 %2021: 50.1 %2022: 49.1 %2023: 49.2 %

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

Analysis

The most recent figure for fao model — share of non-agricultural afs employment in total afs in Kyrgyzstan is 49.2 %, measured in 2023.

The figure is up 0.2% on the previous year and up 31.0% over ten years.

Over the whole period, fao model — share of non-agricultural afs employment in total afs in Kyrgyzstan peaked at 52.55 % in 2019 and was at its lowest, 36.21 %, in 2014.

That places Kyrgyzstan 70th out of 137 countries with data for 2023, putting it in the middle of the range.

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

FAO Model — Share of non-agricultural AFS employment in total AFS in Kyrgyzstan, year by year

Annual values for FAO Model — Share of non-agricultural AFS employment in total AFS employment — Value in Kyrgyzstan, 2000 to 2023.
Year % Change
2000 36.52 %
2001 36.9 % +1.0%
2002 36.63 % -0.7%
2003 37.14 % +1.4%
2004 37.68 % +1.5%
2005 37.34 % -0.9%
2006 37.81 % +1.3%
2007 38.73 % +2.4%
2008 39.79 % +2.7%
2009 40.19 % +1.0%
2010 39.75 % -1.1%
2011 39.29 % -1.2%
2012 38.38 % -2.3%
2013 37.55 % -2.2%
2014 36.21 % -3.6%
2015 38.62 % +6.7%
2016 40.38 % +4.6%
2017 44.53 % +10.3%
2018 45.32 % +1.8%
2019 52.55 % +16.0%
2020 49.47 % -5.9%
2021 50.09 % +1.3%
2022 49.1 % -2.0%
2023 49.2 % +0.2%

Kyrgyzstan compared with similar countries

  • Kyrgyzstan's 49.2 % is above the median for lower middle income countries, which is 35.71 %, 1.4× the median. (33 countries reporting)
  • Kyrgyzstan's 49.2 % is below the median for Europe & Central Asia, which is 68.82 %, 71% of the median. (38 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 37.87 % 36.52 % 40.19 % 10
2010s 41.26 % 36.21 % 52.55 % 10
2020s 49.47 % 49.1 % 50.09 % 4

Countries ranked near Kyrgyzstan

  1. 67 Tunisia 49.98 % compare
  2. 68 Jamaica 49.97 % compare
  3. 69 Nigeria 49.55 % compare
  4. 71 Peru 48.63 % compare
  5. 72 Honduras 48.58 % compare
  6. 73 Bosnia and Herzegovina 48.41 % compare

See the full ranking of 183 places →

More agriculture & rural data for Kyrgyzstan

All data for Kyrgyzstan →

Frequently asked questions

What is fao model — share of non-agricultural afs employment in total afs in Kyrgyzstan?
Fao model — share of non-agricultural afs employment in total afs in Kyrgyzstan was 49.2 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — share of non-agricultural afs employment in total afs recorded in Kyrgyzstan?
The highest recorded value was 52.55 % in 2019.
What is the lowest fao model — share of non-agricultural afs employment in total afs recorded in Kyrgyzstan?
The lowest recorded value was 36.21 % in 2014.
How does Kyrgyzstan rank for fao model — share of non-agricultural afs employment in total afs?
Kyrgyzstan ranks 70th out of 137 countries with data for 2023.
Is fao model — share of non-agricultural afs employment in total afs rising or falling in Kyrgyzstan?
Over the last ten years it is up 31.0%. The long-run trend across the full record is rising.
Where does this Kyrgyzstan data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Share of non-agricultural AFS employment in total AFS employment — 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 non-agricultural AFS employment in total AFS in Kyrgyzstan. 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-non-agricultural-afs-employment-in-total-afs-employment-value/kyrgyz-republic/

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-non-agricultural-afs-employment-in-total-afs-employment-value/kyrgyz-republic/">FAO Model — Share of non-agricultural AFS employment in total AFS in Kyrgyzstan</a> — Statizoid

About this data

Indicator
FAO Model — Share of non-agricultural AFS employment in total AFS employment — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
183 places, 4,118 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.