ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Eswatini

Eswatini: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) was 9,007 USD in 2024. ▲ Rising

Latest (2024)
9,007 USD
Change on year
up 3.3%
World rank
78th
of 168 countries
All-time high
10,453 USD
in 2013
All-time low
4,119 USD
in 1993
Years of data
34
1991–2024

ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Eswatini, 1991–2024

02.5k5.0k7.5k10.0k1991200720241991: 6.8k USD1992: 6.3k USD1993: 4.1k USD1994: 4.8k USD1995: 5.0k USD1996: 5.5k USD1997: 5.7k USD1998: 5.9k USD1999: 6.5k USD2000: 7.4k USD2001: 7.3k USD2002: 7.5k USD2003: 8.2k USD2004: 7.3k USD2005: 8.8k USD2006: 8.6k USD2007: 8.4k USD2008: 9.0k USD2009: 9.7k USD2010: 8.4k USD2011: 8.8k USD2012: 9.9k USD2013: 10.5k USD2014: 9.7k USD2015: 10.0k USD2016: 9.1k USD2017: 9.0k USD2018: 9.6k USD2019: 10.0k USD2020: 9.5k USD2021: 9.9k USD2022: 9.7k USD2023: 8.7k USD2024: 9.0k USD

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

Analysis

The most recent figure for ilo - modelled estimates; faostat - value added (2015 us$) in Eswatini is 9,007 USD, measured in 2024.

Compared with earlier readings it is up 3.3% on the previous year and down 7.0% over ten years.

Over the whole period, ilo - modelled estimates; faostat - value added (2015 us$) in Eswatini peaked at 10,453 USD in 2013 and was at its lowest, 4,119 USD, in 1993.

Eswatini ranks 78th of 168 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 34 years of available data.

ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Eswatini, year by year

Annual values for ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) — Agriculture value added per worker (constant 2015 US$) — Value in Eswatini, 1991 to 2024.
Year USD Change
1991 6,819 USD —
1992 6,297 USD -7.7%
1993 4,119 USD -34.6%
1994 4,798 USD +16.5%
1995 4,996 USD +4.1%
1996 5,523 USD +10.5%
1997 5,730 USD +3.8%
1998 5,876 USD +2.5%
1999 6,508 USD +10.8%
2000 7,426 USD +14.1%
2001 7,254 USD -2.3%
2002 7,509 USD +3.5%
2003 8,189 USD +9.1%
2004 7,259 USD -11.4%
2005 8,767 USD +20.8%
2006 8,553 USD -2.4%
2007 8,375 USD -2.1%
2008 9,043 USD +8.0%
2009 9,728 USD +7.6%
2010 8,413 USD -13.5%
2011 8,829 USD +4.9%
2012 9,905 USD +12.2%
2013 10,453 USD +5.5%
2014 9,680 USD -7.4%
2015 9,953 USD +2.8%
2016 9,118 USD -8.4%
2017 8,956 USD -1.8%
2018 9,624 USD +7.5%
2019 9,979 USD +3.7%
2020 9,462 USD -5.2%
2021 9,894 USD +4.6%
2022 9,656 USD -2.4%
2023 8,720 USD -9.7%
2024 9,007 USD +3.3%

Eswatini compared with similar countries

  • Eswatini's 9,007 USD is above the median for lower middle income countries, which is 2,683 USD, 3.4× the median. (40 countries reporting)
  • Eswatini's 9,007 USD is above the median for Sub-Saharan Africa, which is 1,560 USD, 5.8× the median. (43 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
1990s 5,630 USD 4,119 USD 6,819 USD 9
2000s 8,210 USD 7,254 USD 9,728 USD 10
2010s 9,491 USD 8,413 USD 10,453 USD 10
2020s 9,348 USD 8,720 USD 9,894 USD 5

Countries ranked near Eswatini

  1. 75 Tunisia 9,644 USD compare
  2. 76 Uzbekistan 9,354 USD compare
  3. 77 Sao Tome and Principe 9,103 USD compare
  4. 79 Belarus 8,886 USD compare
  5. 80 South Africa 8,731 USD compare
  6. 81 Egypt 8,430 USD compare

See the full ranking of 183 places →

More agriculture & rural data for Eswatini

All data for Eswatini →

Frequently asked questions

What is ilo - modelled estimates; faostat - value added (2015 us$) in Eswatini?
Ilo - modelled estimates; faostat - value added (2015 us$) in Eswatini was 9,007 USD in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Eswatini?
The highest recorded value was 10,453 USD in 2013.
What is the lowest ilo - modelled estimates; faostat - value added (2015 us$) recorded in Eswatini?
The lowest recorded value was 4,119 USD in 1993.
How does Eswatini rank for ilo - modelled estimates; faostat - value added (2015 us$)?
Eswatini ranks 78th out of 168 countries with data for 2024.
Is ilo - modelled estimates; faostat - value added (2015 us$) rising or falling in Eswatini?
Over the last ten years it is down 7.0%. The long-run trend across the full record is rising.
Where does this Eswatini data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) — Agriculture value added per worker (constant 2015 US$) — Value. Statizoid updates them automatically from the source API.

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ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) in Eswatini. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/ilo-modelled-estimates-faostat-value-added-2015-us-agriculture-value-added-per-worker/eswatini/

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About this data

Indicator
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) — Agriculture value added per worker (constant 2015 US$) — Value
Unit
USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
183 places, 6,104 data points, 1991–2024
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.