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

Niger: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 5.93 million million SLC in 2024. ◆ Volatile

Latest (2024)
5.93 million million SLC
Change on year
up 21.7%
World rank
25th
of 199 countries
All-time high
5.93 million million SLC
in 2024
All-time low
69,834 million SLC
in 1970
Years of data
55
1970–2024

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

02.0M4.0M6.0M197019972024

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

Analysis

The most recent figure for value added (agriculture, forestry and fishing) — value standard in Niger is 5.93 million million SLC, measured in 2024. That is the highest value across all 55 years on record.

Compared with earlier readings it is up 21.7% on the previous year and up 227.4% over ten years.

Over the whole period, value added (agriculture, forestry and fishing) — value standard in Niger peaked at 5.93 million million SLC in 2024 and was at its lowest, 69,834 million SLC, in 1970.

Niger ranks 25th of 199 countries on this measure, in the top quarter.

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 Niger, year by year

Annual values for Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Niger, 1970 to 2024.
Year million SLC Change
1970 69,834 million SLC
1971 74,630 million SLC +6.9%
1972 85,256 million SLC +14.2%
1973 80,859 million SLC -5.2%
1974 100,449 million SLC +24.2%
1975 111,457 million SLC +11.0%
1976 152,790 million SLC +37.1%
1977 183,362 million SLC +20.0%
1978 208,935 million SLC +13.9%
1979 237,479 million SLC +13.7%
1980 286,990 million SLC +20.8%
1981 310,541 million SLC +8.2%
1982 351,189 million SLC +13.1%
1983 359,481 million SLC +2.4%
1984 287,261 million SLC -20.1%
1985 299,170 million SLC +4.1%
1986 281,431 million SLC -5.9%
1987 267,718 million SLC -4.9%
1988 283,570 million SLC +5.9%
1989 274,763 million SLC -3.1%
1990 287,973 million SLC +4.8%
1991 299,673 million SLC +4.1%
1992 304,076 million SLC +1.5%
1993 301,339 million SLC -0.9%
1994 343,831 million SLC +14.1%
1995 376,415 million SLC +9.5%
1996 423,647 million SLC +12.5%
1997 430,981 million SLC +1.7%
1998 586,437 million SLC +36.1%
1999 605,574 million SLC +3.3%
2000 577,444 million SLC -4.6%
2001 715,639 million SLC +23.9%
2002 793,326 million SLC +10.9%
2003 815,947 million SLC +2.9%
2004 742,600 million SLC -9.0%
2005 909,470 million SLC +22.5%
2006 989,459 million SLC +8.8%
2007 1.03 million million SLC +3.7%
2008 1.26 million million SLC +22.7%
2009 1.20 million million SLC -4.8%
2010 1.40 million million SLC +16.7%
2011 1.40 million million SLC +0.2%
2012 1.63 million million SLC +16.4%
2013 1.65 million million SLC +1.4%
2014 1.81 million million SLC +9.5%
2015 1.86 million million SLC +2.4%
2016 2.17 million million SLC +17.1%
2017 2.33 million million SLC +7.0%
2018 2.68 million million SLC +15.2%
2019 2.79 million million SLC +4.3%
2020 3.04 million million SLC +8.7%
2021 3.02 million million SLC -0.6%
2022 3.98 million million SLC +31.9%
2023 4.88 million million SLC +22.5%
2024 5.93 million million SLC +21.7%

Averages by decade

DecadeAverage LowestHighest Years
1970s 130,505 million SLC 69,834 million SLC 237,479 million SLC 10
1980s 300,211 million SLC 267,718 million SLC 359,481 million SLC 10
1990s 395,995 million SLC 287,973 million SLC 605,574 million SLC 10
2000s 902,676 million SLC 577,444 million SLC 1.26 million million SLC 10
2010s 1.97 million million SLC 1.40 million million SLC 2.79 million million SLC 10
2020s 4.17 million million SLC 3.02 million million SLC 5.93 million million SLC 5

Countries ranked near Niger

  1. 22 Kazakhstan 6.11 million million SLC compare
  2. 23 Sudan 6.07 million million SLC compare
  3. 24 Japan 6.05 million million SLC compare
  4. 26 Mongolia 5.93 million million SLC compare
  5. 27 Bangladesh 5.59 million million SLC compare
  6. 28 Cameroon 5.43 million million SLC compare

See the full ranking of 215 places →

More environment data for Niger

All data for Niger →

Frequently asked questions

What is value added (agriculture, forestry and fishing) — value standard in Niger?
Value added (agriculture, forestry and fishing) — value standard in Niger was 5.93 million 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 Niger?
The highest recorded value was 5.93 million million SLC in 2024.
What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Niger?
The lowest recorded value was 69,834 million SLC in 1970.
How does Niger rank for value added (agriculture, forestry and fishing) — value standard?
Niger ranks 25th out of 199 countries with data for 2024.
Is value added (agriculture, forestry and fishing) — value standard rising or falling in Niger?
Over the last ten years it is up 227.4%. The long-run trend across the full record is volatile.
Where does this Niger 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 Niger. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://environment.statizoid.com/stat/value-added-agriculture-forestry-and-fishing-value-standard-local-currency/niger/

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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).