Value Added (Agriculture, Forestry and Fishing) — Value Standard in Niger
Niger: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 4.06 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Niger, 1970–2024
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 4.06 million million SLC, measured in 2024. That is the highest value across all 55 years on record.
That represents a change of up 11.1% on the previous year and up 122.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Niger peaked at 4.06 million million SLC in 2024 and was at its lowest, 419,497 million SLC, in 1976.
That places Niger 22nd out of 191 countries with data for 2024, putting it 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
| Year | million SLC | Change |
|---|---|---|
| 1970 | 739,330 million SLC | — |
| 1971 | 777,662 million SLC | +5.2% |
| 1972 | 703,393 million SLC | -9.6% |
| 1973 | 472,922 million SLC | -32.8% |
| 1974 | 573,783 million SLC | +21.3% |
| 1975 | 459,985 million SLC | -19.8% |
| 1976 | 419,497 million SLC | -8.8% |
| 1977 | 484,422 million SLC | +15.5% |
| 1978 | 550,544 million SLC | +13.6% |
| 1979 | 517,962 million SLC | -5.9% |
| 1980 | 544,794 million SLC | +5.2% |
| 1981 | 540,003 million SLC | -0.9% |
| 1982 | 526,347 million SLC | -2.5% |
| 1983 | 586,241 million SLC | +11.4% |
| 1984 | 504,306 million SLC | -14.0% |
| 1985 | 511,254 million SLC | +1.4% |
| 1986 | 574,023 million SLC | +12.3% |
| 1987 | 530,803 million SLC | -7.5% |
| 1988 | 629,590 million SLC | +18.6% |
| 1989 | 607,525 million SLC | -3.5% |
| 1990 | 582,840 million SLC | -4.1% |
| 1991 | 617,999 million SLC | +6.0% |
| 1992 | 650,545 million SLC | +5.3% |
| 1993 | 666,870 million SLC | +2.5% |
| 1994 | 653,539 million SLC | -2.0% |
| 1995 | 644,265 million SLC | -1.4% |
| 1996 | 674,971 million SLC | +4.8% |
| 1997 | 675,125 million SLC | +0.0% |
| 1998 | 874,969 million SLC | +29.6% |
| 1999 | 894,754 million SLC | +2.3% |
| 2000 | 812,619 million SLC | -9.2% |
| 2001 | 916,998 million SLC | +12.8% |
| 2002 | 984,864 million SLC | +7.4% |
| 2003 | 1.04 million million SLC | +5.2% |
| 2004 | 952,586 million SLC | -8.1% |
| 2005 | 1.08 million million SLC | +13.6% |
| 2006 | 1.19 million million SLC | +10.4% |
| 2007 | 1.25 million million SLC | +4.6% |
| 2008 | 1.45 million million SLC | +15.9% |
| 2009 | 1.31 million million SLC | -9.4% |
| 2010 | 1.51 million million SLC | +15.3% |
| 2011 | 1.47 million million SLC | -2.9% |
| 2012 | 1.69 million million SLC | +14.7% |
| 2013 | 1.68 million million SLC | -0.5% |
| 2014 | 1.82 million million SLC | +8.4% |
| 2015 | 1.86 million million SLC | +2.0% |
| 2016 | 2.18 million million SLC | +17.2% |
| 2017 | 2.29 million million SLC | +5.4% |
| 2018 | 2.47 million million SLC | +7.9% |
| 2019 | 2.56 million million SLC | +3.4% |
| 2020 | 2.76 million million SLC | +7.7% |
| 2021 | 2.62 million million SLC | -5.1% |
| 2022 | 3.54 million million SLC | +35.2% |
| 2023 | 3.65 million million SLC | +3.2% |
| 2024 | 4.06 million million SLC | +11.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 569,950 million SLC | 419,497 million SLC | 777,662 million SLC | 10 |
| 1980s | 555,489 million SLC | 504,306 million SLC | 629,590 million SLC | 10 |
| 1990s | 693,588 million SLC | 582,840 million SLC | 894,754 million SLC | 10 |
| 2000s | 1.10 million million SLC | 812,619 million SLC | 1.45 million million SLC | 10 |
| 2010s | 1.95 million million SLC | 1.47 million million SLC | 2.56 million million SLC | 10 |
| 2020s | 3.32 million million SLC | 2.62 million million SLC | 4.06 million million SLC | 5 |
Countries ranked near Niger
More environment data for Niger
- Historical exposure to drought — Land soil moisture anomaly 4.49 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.65 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.334 °C (2025)
- Temperature change 1.05 °C (2025)
- Plywood and LVL — Import quantity, annual growth rate 91.3 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0.0007 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate 97.58 % change on previous year (2024)
- Plywood and LVL — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
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 4.06 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 4.06 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 419,497 million SLC in 1976.
- How does Niger rank for value added (agriculture, forestry and fishing) — value standard?
- Niger ranks 22nd out of 191 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 122.9%. 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, 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).