Value Added (Agriculture, Forestry and Fishing) — Value Standard in Suriname
Suriname: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 946.08 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Suriname, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Suriname recorded 946.08 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024.
That represents a change of up 1.1% on the previous year and down 44.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Suriname peaked at 1,824 million SLC in 2016 and was at its lowest, 537.93 million SLC, in 1970.
That places Suriname 145th out of 191 countries with data for 2024, putting it 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 Suriname, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 537.93 million SLC | — |
| 1971 | 570.83 million SLC | +6.1% |
| 1972 | 603.24 million SLC | +5.7% |
| 1973 | 634.36 million SLC | +5.2% |
| 1974 | 682.08 million SLC | +7.5% |
| 1975 | 711.96 million SLC | +4.4% |
| 1976 | 737.67 million SLC | +3.6% |
| 1977 | 847.88 million SLC | +14.9% |
| 1978 | 809.68 million SLC | -4.5% |
| 1979 | 894.91 million SLC | +10.5% |
| 1980 | 901.52 million SLC | +0.7% |
| 1981 | 1,021 million SLC | +13.2% |
| 1982 | 989.69 million SLC | -3.0% |
| 1983 | 902.99 million SLC | -8.8% |
| 1984 | 937.52 million SLC | +3.8% |
| 1985 | 950.89 million SLC | +1.4% |
| 1986 | 926.5 million SLC | -2.6% |
| 1987 | 977.05 million SLC | +5.5% |
| 1988 | 971.91 million SLC | -0.5% |
| 1989 | 948.54 million SLC | -2.4% |
| 1990 | 956.92 million SLC | +0.9% |
| 1991 | 1,073 million SLC | +12.1% |
| 1992 | 1,100 million SLC | +2.5% |
| 1993 | 1,021 million SLC | -7.2% |
| 1994 | 975.63 million SLC | -4.4% |
| 1995 | 908.78 million SLC | -6.9% |
| 1996 | 923.2 million SLC | +1.6% |
| 1997 | 897.61 million SLC | -2.8% |
| 1998 | 840.41 million SLC | -6.4% |
| 1999 | 877.38 million SLC | +4.4% |
| 2000 | 929.58 million SLC | +5.9% |
| 2001 | 1,036 million SLC | +11.4% |
| 2002 | 996.06 million SLC | -3.8% |
| 2003 | 1,033 million SLC | +3.7% |
| 2004 | 1,042 million SLC | +0.9% |
| 2005 | 990.1 million SLC | -5.0% |
| 2006 | 1,042 million SLC | +5.2% |
| 2007 | 1,098 million SLC | +5.4% |
| 2008 | 1,024 million SLC | -6.8% |
| 2009 | 1,367 million SLC | +33.5% |
| 2010 | 1,439 million SLC | +5.3% |
| 2011 | 1,535 million SLC | +6.7% |
| 2012 | 1,730 million SLC | +12.7% |
| 2013 | 1,614 million SLC | -6.7% |
| 2014 | 1,710 million SLC | +5.9% |
| 2015 | 1,823 million SLC | +6.6% |
| 2016 | 1,824 million SLC | +0.0% |
| 2017 | 1,707 million SLC | -6.4% |
| 2018 | 1,562 million SLC | -8.5% |
| 2019 | 1,268 million SLC | -18.8% |
| 2020 | 1,137 million SLC | -10.3% |
| 2021 | 1,052 million SLC | -7.5% |
| 2022 | 1,035 million SLC | -1.6% |
| 2023 | 936.22 million SLC | -9.5% |
| 2024 | 946.08 million SLC | +1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 703.05 million SLC | 537.93 million SLC | 894.91 million SLC | 10 |
| 1980s | 952.72 million SLC | 901.52 million SLC | 1,021 million SLC | 10 |
| 1990s | 957.4 million SLC | 840.41 million SLC | 1,100 million SLC | 10 |
| 2000s | 1,056 million SLC | 929.58 million SLC | 1,367 million SLC | 10 |
| 2010s | 1,621 million SLC | 1,268 million SLC | 1,824 million SLC | 10 |
| 2020s | 1,021 million SLC | 936.22 million SLC | 1,137 million SLC | 5 |
Countries ranked near Suriname
- 142 China, Hong Kong SAR 1,108 million SLC compare
- 143 Oman 958.97 million SLC compare
- 144 Fiji 952.74 million SLC compare
- 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
More environment data for Suriname
- Historical exposure to drought — Land soil moisture anomaly 1.4 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.91 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.222 °C (2025)
- Temperature change 1.86 °C (2025)
- Sawnwood — Production, annual growth rate -52.27 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0662 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate -100 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Suriname?
- Value added (agriculture, forestry and fishing) — value standard in Suriname was 946.08 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 Suriname?
- The highest recorded value was 1,824 million SLC in 2016.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Suriname?
- The lowest recorded value was 537.93 million SLC in 1970.
- How does Suriname rank for value added (agriculture, forestry and fishing) — value standard?
- Suriname ranks 145th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Suriname?
- Over the last ten years it is down 44.7%. The long-run trend across the full record is rising.
- Where does this Suriname 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
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).