FAO Model — Total employment in agrifood systems (AFS) — Male — Value in Latvia

Latvia: FAO Model — Total employment in agrifood systems (AFS) — Male — Value was 92.02 1000 No in 2023. ▼ Falling

Latest (2023)
92.02 1000 No
Change on year
up 5.1%
World rank
108th
of 137 countries
All-time high
207.35 1000 No
in 2000
All-time low
82.99 1000 No
in 2021
Years of data
24
2000–2023

FAO Model — Total employment in agrifood systems (AFS) — Male — Value in Latvia, 2000–2023

0501001502002000201120232000: 207.3 1000 No2001: 167.8 1000 No2002: 198.1 1000 No2003: 169.1 1000 No2004: 171.6 1000 No2005: 157.7 1000 No2006: 152.9 1000 No2007: 141.8 1000 No2008: 122.2 1000 No2009: 104.7 1000 No2010: 100.3 1000 No2011: 110.5 1000 No2012: 118.3 1000 No2013: 111.2 1000 No2014: 112.5 1000 No2015: 114.8 1000 No2016: 111 1000 No2017: 105 1000 No2018: 108.9 1000 No2019: 97.4 1000 No2020: 101.8 1000 No2021: 83 1000 No2022: 87.6 1000 No2023: 92 1000 No

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 No.

Analysis

Latvia recorded 92.02 1000 No for fao model — total employment in agrifood systems (afs) — male — value in 2023.

That represents a change of up 5.1% on the previous year and down 17.2% over ten years.

Over the whole period, fao model — total employment in agrifood systems (afs) — male — value in Latvia peaked at 207.35 1000 No in 2000 and was at its lowest, 82.99 1000 No, in 2021.

Latvia ranks 108th of 137 countries on this measure, in the bottom quarter.

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

FAO Model — Total employment in agrifood systems (AFS) — Male — Value in Latvia, year by year

Annual values for FAO Model — Total employment in agrifood systems (AFS) — Male — Value in Latvia, 2000 to 2023.
Year 1000 No Change
2000 207.35 1000 No
2001 167.76 1000 No -19.1%
2002 198.12 1000 No +18.1%
2003 169.08 1000 No -14.7%
2004 171.62 1000 No +1.5%
2005 157.7 1000 No -8.1%
2006 152.92 1000 No -3.0%
2007 141.81 1000 No -7.3%
2008 122.19 1000 No -13.8%
2009 104.69 1000 No -14.3%
2010 100.28 1000 No -4.2%
2011 110.46 1000 No +10.2%
2012 118.28 1000 No +7.1%
2013 111.2 1000 No -6.0%
2014 112.5 1000 No +1.2%
2015 114.82 1000 No +2.1%
2016 110.95 1000 No -3.4%
2017 105.02 1000 No -5.3%
2018 108.92 1000 No +3.7%
2019 97.43 1000 No -10.5%
2020 101.75 1000 No +4.4%
2021 82.99 1000 No -18.4%
2022 87.58 1000 No +5.5%
2023 92.02 1000 No +5.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 159.32 1000 No 104.69 1000 No 207.35 1000 No 10
2010s 108.99 1000 No 97.43 1000 No 118.28 1000 No 10
2020s 91.08 1000 No 82.99 1000 No 101.75 1000 No 4

Countries ranked near Latvia

  1. 105 Lithuania 121.57 1000 No compare
  2. 106 Gambia 121.14 1000 No compare
  3. 107 Bhutan 112.27 1000 No compare
  4. 109 Solomon Islands 90.31 1000 No compare
  5. 110 Fiji 89.45 1000 No compare
  6. 111 North Macedonia 85.49 1000 No compare

See the full ranking of 185 places →

More agriculture & rural data for Latvia

All data for Latvia →

Frequently asked questions

What is fao model — total employment in agrifood systems (afs) — male — value in Latvia?
Fao model — total employment in agrifood systems (afs) — male — value in Latvia was 92.02 1000 No in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fao model — total employment in agrifood systems (afs) — male — value recorded in Latvia?
The highest recorded value was 207.35 1000 No in 2000.
What is the lowest fao model — total employment in agrifood systems (afs) — male — value recorded in Latvia?
The lowest recorded value was 82.99 1000 No in 2021.
How does Latvia rank for fao model — total employment in agrifood systems (afs) — male — value?
Latvia ranks 108th out of 137 countries with data for 2023.
Is fao model — total employment in agrifood systems (afs) — male — value rising or falling in Latvia?
Over the last ten years it is down 17.2%. The long-run trend across the full record is falling.
Where does this Latvia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of FAO Model — Total employment in agrifood systems (AFS) — Male — 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 — Total employment in agrifood systems (AFS) — Male — Value in Latvia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 04 September 2026, from https://agriculture.statizoid.com/stat/fao-model-total-employment-in-agrifood-systems-afs-male-value/latvia/

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-total-employment-in-agrifood-systems-afs-male-value/latvia/">FAO Model — Total employment in agrifood systems (AFS) — Male — Value in Latvia</a> — Statizoid

About this data

Indicator
FAO Model — Total employment in agrifood systems (AFS) — Male — Value
Unit
1000 No
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.