Value Added (Agriculture, Forestry and Fishing) — Value Standard in Suriname

Suriname: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 12,871 million SLC in 2024. ◆ Volatile

Latest (2024)
12,871 million SLC
Change on year
up 11.3%
World rank
119th
of 199 countries
All-time high
12,871 million SLC
in 2024
All-time low
0.0452 million SLC
in 1970
Years of data
55
1970–2024

Value Added (Agriculture, Forestry and Fishing) — Value Standard in Suriname, 1970–2024

05.0k10.0k15.0k197019972024

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

Analysis

Suriname recorded 12,871 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.

The figure is up 11.3% on the previous year and up 576.0% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Suriname peaked at 12,871 million SLC in 2024 and was at its lowest, 0.0452 million SLC, in 1970.

That places Suriname 119th out of 199 countries with data for 2024, putting it 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 Suriname, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Suriname, 1970 to 2024.
Year million SLC Change
1970 0.0452 million SLC
1971 0.0496 million SLC +9.7%
1972 0.0503 million SLC +1.4%
1973 0.0563 million SLC +11.8%
1974 0.069 million SLC +22.6%
1975 0.0715 million SLC +3.7%
1976 0.0887 million SLC +23.9%
1977 0.1126 million SLC +27.0%
1978 0.1121 million SLC -0.4%
1979 0.1418 million SLC +26.5%
1980 0.15 million SLC +5.8%
1981 0.1713 million SLC +14.2%
1982 0.1765 million SLC +3.0%
1983 0.1552 million SLC -12.1%
1984 0.1645 million SLC +6.0%
1985 0.1744 million SLC +6.1%
1986 0.2025 million SLC +16.1%
1987 0.2497 million SLC +23.3%
1988 0.286 million SLC +14.5%
1989 0.2979 million SLC +4.2%
1990 0.8329 million SLC +179.6%
1991 1.05 million SLC +25.7%
1992 1.8 million SLC +71.5%
1993 7.3 million SLC +306.5%
1994 35.12 million SLC +381.2%
1995 113.37 million SLC +222.9%
1996 135.41 million SLC +19.4%
1997 114.98 million SLC -15.1%
1998 98.82 million SLC -14.1%
1999 170.72 million SLC +72.8%
2000 316.42 million SLC +85.3%
2001 438.62 million SLC +38.6%
2002 456.9 million SLC +4.2%
2003 569.45 million SLC +24.6%
2004 564.2 million SLC -0.9%
2005 637.47 million SLC +13.0%
2006 734 million SLC +15.1%
2007 835 million SLC +13.8%
2008 906.42 million SLC +8.6%
2009 1,119 million SLC +23.4%
2010 1,245 million SLC +11.3%
2011 1,414 million SLC +13.6%
2012 1,578 million SLC +11.6%
2013 1,690 million SLC +7.1%
2014 1,904 million SLC +12.6%
2015 1,823 million SLC -4.3%
2016 2,225 million SLC +22.0%
2017 2,936 million SLC +32.0%
2018 2,992 million SLC +1.9%
2019 2,728 million SLC -8.8%
2020 3,150 million SLC +15.5%
2021 5,403 million SLC +71.5%
2022 7,210 million SLC +33.5%
2023 11,562 million SLC +60.4%
2024 12,871 million SLC +11.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 0.0797 million SLC 0.0452 million SLC 0.1418 million SLC 10
1980s 0.2028 million SLC 0.15 million SLC 0.2979 million SLC 10
1990s 67.94 million SLC 0.8329 million SLC 170.72 million SLC 10
2000s 657.73 million SLC 316.42 million SLC 1,119 million SLC 10
2010s 2,053 million SLC 1,245 million SLC 2,992 million SLC 10
2020s 8,039 million SLC 3,150 million SLC 12,871 million SLC 5

Countries ranked near Suriname

  1. 116 Tunisia 15,575 million SLC compare
  2. 117 United Arab Emirates 13,913 million SLC compare
  3. 118 Yemen Ar Rp 13,133 million SLC compare
  4. 120 Djibouti 11,474 million SLC compare
  5. 121 Ecuador 11,129 million SLC compare
  6. 122 Libya 8,392 million SLC compare

See the full ranking of 215 places →

More environment data for Suriname

All data for Suriname →

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 12,871 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 12,871 million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Suriname?
The lowest recorded value was 0.0452 million SLC in 1970.
How does Suriname rank for value added (agriculture, forestry and fishing) — value standard?
Suriname ranks 119th out of 199 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 up 576.0%. The long-run trend across the full record is volatile.
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. Statizoid updates them automatically from the source API.

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Value Added (Agriculture, Forestry and Fishing) — Value Standard in Suriname. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/suriname/

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About this data

Indicator
Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
215 places, 10,919 data points, 1970–2024
Last refreshed

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).