Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eswatini
Eswatini: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4,749 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eswatini, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Eswatini recorded 4,749 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
The figure is up 2.4% on the previous year and up 1.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Eswatini peaked at 5,021 million SLC in 2013 and was at its lowest, 1,183 million SLC, in 1971.
That places Eswatini 117th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eswatini, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,216 million SLC | — |
| 1971 | 1,183 million SLC | -2.7% |
| 1972 | 1,317 million SLC | +11.3% |
| 1973 | 1,357 million SLC | +3.0% |
| 1974 | 1,556 million SLC | +14.7% |
| 1975 | 1,902 million SLC | +22.2% |
| 1976 | 2,088 million SLC | +9.8% |
| 1977 | 2,214 million SLC | +6.0% |
| 1978 | 2,336 million SLC | +5.5% |
| 1979 | 2,460 million SLC | +5.3% |
| 1980 | 2,508 million SLC | +1.9% |
| 1981 | 2,850 million SLC | +13.7% |
| 1982 | 2,876 million SLC | +0.9% |
| 1983 | 3,002 million SLC | +4.3% |
| 1984 | 2,528 million SLC | -15.8% |
| 1985 | 3,015 million SLC | +19.3% |
| 1986 | 3,402 million SLC | +12.8% |
| 1987 | 3,128 million SLC | -8.0% |
| 1988 | 2,911 million SLC | -6.9% |
| 1989 | 3,080 million SLC | +5.8% |
| 1990 | 2,583 million SLC | -16.1% |
| 1991 | 3,096 million SLC | +19.9% |
| 1992 | 2,916 million SLC | -5.8% |
| 1993 | 1,903 million SLC | -34.7% |
| 1994 | 2,201 million SLC | +15.6% |
| 1995 | 2,238 million SLC | +1.7% |
| 1996 | 2,509 million SLC | +12.1% |
| 1997 | 2,631 million SLC | +4.9% |
| 1998 | 2,725 million SLC | +3.5% |
| 1999 | 3,040 million SLC | +11.6% |
| 2000 | 3,563 million SLC | +17.2% |
| 2001 | 3,499 million SLC | -1.8% |
| 2002 | 3,618 million SLC | +3.4% |
| 2003 | 3,925 million SLC | +8.5% |
| 2004 | 3,420 million SLC | -12.9% |
| 2005 | 4,106 million SLC | +20.1% |
| 2006 | 3,959 million SLC | -3.6% |
| 2007 | 3,837 million SLC | -3.1% |
| 2008 | 4,180 million SLC | +9.0% |
| 2009 | 4,524 million SLC | +8.2% |
| 2010 | 3,966 million SLC | -12.3% |
| 2011 | 4,195 million SLC | +5.8% |
| 2012 | 4,742 million SLC | +13.0% |
| 2013 | 5,021 million SLC | +5.9% |
| 2014 | 4,666 million SLC | -7.1% |
| 2015 | 4,845 million SLC | +3.8% |
| 2016 | 4,437 million SLC | -8.4% |
| 2017 | 4,247 million SLC | -4.3% |
| 2018 | 4,502 million SLC | +6.0% |
| 2019 | 4,536 million SLC | +0.8% |
| 2020 | 4,194 million SLC | -7.5% |
| 2021 | 4,389 million SLC | +4.6% |
| 2022 | 4,612 million SLC | +5.1% |
| 2023 | 4,637 million SLC | +0.6% |
| 2024 | 4,749 million SLC | +2.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,763 million SLC | 1,183 million SLC | 2,460 million SLC | 10 |
| 1980s | 2,930 million SLC | 2,508 million SLC | 3,402 million SLC | 10 |
| 1990s | 2,584 million SLC | 1,903 million SLC | 3,096 million SLC | 10 |
| 2000s | 3,863 million SLC | 3,420 million SLC | 4,524 million SLC | 10 |
| 2010s | 4,516 million SLC | 3,966 million SLC | 5,021 million SLC | 10 |
| 2020s | 4,516 million SLC | 4,194 million SLC | 4,749 million SLC | 5 |
Countries ranked near Eswatini
More environment data for Eswatini
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.321 °C (2025)
- Temperature change 1.02 °C (2025)
- Wood-based panels — Import quantity, annual growth rate -31.58 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0066 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 27.26 % change on previous year (2024)
- Wood-based panels — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Wood-based panels — Import value, per capita 0.0041 1000 USD per person (2024)
- Plywood and LVL — Import quantity, annual growth rate -88.76 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Eswatini?
- Value added (agriculture, forestry and fishing) — value standard in Eswatini was 4,749 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Eswatini?
- The highest recorded value was 5,021 million SLC in 2013.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Eswatini?
- The lowest recorded value was 1,183 million SLC in 1971.
- How does Eswatini rank for value added (agriculture, forestry and fishing) — value standard?
- Eswatini ranks 117th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Eswatini?
- Over the last ten years it is up 1.8%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).