Value Added (Agriculture, Forestry and Fishing) — Value Standard in Seychelles
Seychelles: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 711.33 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Seychelles, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Seychelles stood at 711.33 million SLC.
The figure is down 2.8% on the previous year and up 78.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Seychelles peaked at 731.66 million SLC in 2023 and was at its lowest, 105.34 million SLC, in 1970.
Seychelles ranks 149th of 191 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Seychelles, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 105.34 million SLC | — |
| 1971 | 121.89 million SLC | +15.7% |
| 1972 | 128.05 million SLC | +5.0% |
| 1973 | 143.51 million SLC | +12.1% |
| 1974 | 142.63 million SLC | -0.6% |
| 1975 | 140.7 million SLC | -1.4% |
| 1976 | 188.52 million SLC | +34.0% |
| 1977 | 175.11 million SLC | -7.1% |
| 1978 | 166.52 million SLC | -4.9% |
| 1979 | 193.23 million SLC | +16.0% |
| 1980 | 196.21 million SLC | +1.5% |
| 1981 | 181.53 million SLC | -7.5% |
| 1982 | 164.95 million SLC | -9.1% |
| 1983 | 200.46 million SLC | +21.5% |
| 1984 | 180.02 million SLC | -10.2% |
| 1985 | 177.28 million SLC | -1.5% |
| 1986 | 185.28 million SLC | +4.5% |
| 1987 | 172.85 million SLC | -6.7% |
| 1988 | 163.25 million SLC | -5.5% |
| 1989 | 152.34 million SLC | -6.7% |
| 1990 | 180.62 million SLC | +18.6% |
| 1991 | 189.12 million SLC | +4.7% |
| 1992 | 321.32 million SLC | +69.9% |
| 1993 | 311.9 million SLC | -2.9% |
| 1994 | 338.42 million SLC | +8.5% |
| 1995 | 318 million SLC | -6.0% |
| 1996 | 347.77 million SLC | +9.4% |
| 1997 | 394.74 million SLC | +13.5% |
| 1998 | 451.48 million SLC | +14.4% |
| 1999 | 437.98 million SLC | -3.0% |
| 2000 | 438.42 million SLC | +0.1% |
| 2001 | 416.67 million SLC | -5.0% |
| 2002 | 424.48 million SLC | +1.9% |
| 2003 | 389.89 million SLC | -8.1% |
| 2004 | 387.11 million SLC | -0.7% |
| 2005 | 416.86 million SLC | +7.7% |
| 2006 | 394.53 million SLC | -5.4% |
| 2007 | 389.99 million SLC | -1.2% |
| 2008 | 408.85 million SLC | +4.8% |
| 2009 | 345.06 million SLC | -15.6% |
| 2010 | 325.04 million SLC | -5.8% |
| 2011 | 337.53 million SLC | +3.8% |
| 2012 | 341.09 million SLC | +1.1% |
| 2013 | 427.2 million SLC | +25.2% |
| 2014 | 397.73 million SLC | -6.9% |
| 2015 | 391.54 million SLC | -1.6% |
| 2016 | 397.17 million SLC | +1.4% |
| 2017 | 502.47 million SLC | +26.5% |
| 2018 | 544.19 million SLC | +8.3% |
| 2019 | 566.38 million SLC | +4.1% |
| 2020 | 490.12 million SLC | -13.5% |
| 2021 | 577.34 million SLC | +17.8% |
| 2022 | 698.76 million SLC | +21.0% |
| 2023 | 731.66 million SLC | +4.7% |
| 2024 | 711.33 million SLC | -2.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 150.55 million SLC | 105.34 million SLC | 193.23 million SLC | 10 |
| 1980s | 177.42 million SLC | 152.34 million SLC | 200.46 million SLC | 10 |
| 1990s | 329.13 million SLC | 180.62 million SLC | 451.48 million SLC | 10 |
| 2000s | 401.19 million SLC | 345.06 million SLC | 438.42 million SLC | 10 |
| 2010s | 423.03 million SLC | 325.04 million SLC | 566.38 million SLC | 10 |
| 2020s | 641.84 million SLC | 490.12 million SLC | 731.66 million SLC | 5 |
Countries ranked near Seychelles
- 146 Latvia 785.31 million SLC compare
- 147 Sao Tome and Principe 771.77 million SLC compare
- 148 Trinidad and Tobago 730.7 million SLC compare
- 150 Puerto Rico 677.16 million SLC compare
- 151 Liberia 668.78 million SLC compare
- 152 Slovenia 668.77 million SLC compare
More environment data for Seychelles
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.258 °C (2025)
- Temperature change 1.05 °C (2025)
- Wood-based panels — Import quantity, annual growth rate -10.4 % 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 0.0435 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 50.81 % 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 0.0367 1000 USD per person (2024)
- Plywood and LVL — Import quantity, annual growth rate -10.46 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Seychelles?
- Value added (agriculture, forestry and fishing) — value standard in Seychelles was 711.33 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 Seychelles?
- The highest recorded value was 731.66 million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Seychelles?
- The lowest recorded value was 105.34 million SLC in 1970.
- How does Seychelles rank for value added (agriculture, forestry and fishing) — value standard?
- Seychelles ranks 149th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Seychelles?
- Over the last ten years it is up 78.8%. The long-run trend across the full record is rising.
- Where does this Seychelles 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).