Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eswatini
Eswatini: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 7,508 million SLC in 2024. ◆ Volatile
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 7,508 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 7.6% on the previous year and up 69.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Eswatini peaked at 7,508 million SLC in 2024 and was at its lowest, 27.05 million SLC, in 1970.
Eswatini ranks 125th of 199 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Eswatini, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 27.05 million SLC | — |
| 1971 | 31.57 million SLC | +16.7% |
| 1972 | 36.83 million SLC | +16.7% |
| 1973 | 42.97 million SLC | +16.7% |
| 1974 | 50.13 million SLC | +16.7% |
| 1975 | 58.49 million SLC | +16.7% |
| 1976 | 68.24 million SLC | +16.7% |
| 1977 | 79.62 million SLC | +16.7% |
| 1978 | 92.89 million SLC | +16.7% |
| 1979 | 108.38 million SLC | +16.7% |
| 1980 | 126.45 million SLC | +16.7% |
| 1981 | 163.47 million SLC | +29.3% |
| 1982 | 174.35 million SLC | +6.7% |
| 1983 | 198.61 million SLC | +13.9% |
| 1984 | 175.25 million SLC | -11.8% |
| 1985 | 173.69 million SLC | -0.9% |
| 1986 | 213.62 million SLC | +23.0% |
| 1987 | 201.47 million SLC | -5.7% |
| 1988 | 279.53 million SLC | +38.7% |
| 1989 | 343.2 million SLC | +22.8% |
| 1990 | 267.58 million SLC | -22.0% |
| 1991 | 388.46 million SLC | +45.2% |
| 1992 | 357.02 million SLC | -8.1% |
| 1993 | 299.02 million SLC | -16.2% |
| 1994 | 459.42 million SLC | +53.6% |
| 1995 | 532.47 million SLC | +15.9% |
| 1996 | 686.45 million SLC | +28.9% |
| 1997 | 758.69 million SLC | +10.5% |
| 1998 | 835.17 million SLC | +10.1% |
| 1999 | 942.98 million SLC | +12.9% |
| 2000 | 1,486 million SLC | +57.5% |
| 2001 | 1,607 million SLC | +8.2% |
| 2002 | 1,887 million SLC | +17.5% |
| 2003 | 2,059 million SLC | +9.1% |
| 2004 | 1,728 million SLC | -16.1% |
| 2005 | 2,217 million SLC | +28.3% |
| 2006 | 2,493 million SLC | +12.4% |
| 2007 | 2,629 million SLC | +5.5% |
| 2008 | 2,721 million SLC | +3.5% |
| 2009 | 2,807 million SLC | +3.1% |
| 2010 | 3,300 million SLC | +17.6% |
| 2011 | 3,402 million SLC | +3.1% |
| 2012 | 4,093 million SLC | +20.3% |
| 2013 | 4,490 million SLC | +9.7% |
| 2014 | 4,433 million SLC | -1.3% |
| 2015 | 4,845 million SLC | +9.3% |
| 2016 | 5,029 million SLC | +3.8% |
| 2017 | 4,946 million SLC | -1.7% |
| 2018 | 5,269 million SLC | +6.5% |
| 2019 | 5,549 million SLC | +5.3% |
| 2020 | 5,325 million SLC | -4.0% |
| 2021 | 5,809 million SLC | +9.1% |
| 2022 | 6,731 million SLC | +15.9% |
| 2023 | 6,977 million SLC | +3.7% |
| 2024 | 7,508 million SLC | +7.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 59.62 million SLC | 27.05 million SLC | 108.38 million SLC | 10 |
| 1980s | 204.96 million SLC | 126.45 million SLC | 343.2 million SLC | 10 |
| 1990s | 552.72 million SLC | 267.58 million SLC | 942.98 million SLC | 10 |
| 2000s | 2,163 million SLC | 1,486 million SLC | 2,807 million SLC | 10 |
| 2010s | 4,536 million SLC | 3,300 million SLC | 5,549 million SLC | 10 |
| 2020s | 6,470 million SLC | 5,325 million SLC | 7,508 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)
- Printing and writing papers — Import quantity, annual growth rate 64.83 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.0025 t per person (2024)
- Printing and writing papers — Import value, annual growth rate 3.26 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0029 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate -94.34 % change on previous year (2023)
- Other paper and paperboard — Import quantity, per capita 0.0135 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 583.16 % 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 7,508 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 7,508 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Eswatini?
- The lowest recorded value was 27.05 million SLC in 1970.
- How does Eswatini rank for value added (agriculture, forestry and fishing) — value standard?
- Eswatini ranks 125th out of 199 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 69.4%. The long-run trend across the full record is volatile.
- 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. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).