Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Zambia
Zambia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 871.14 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Zambia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Zambia stood at 871.14 million USD.
The figure is down 9.2% on the previous year and down 24.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Zambia peaked at 1,302 million USD in 2000 and was at its lowest, 581.96 million USD, in 1979.
Zambia ranks 129th of 200 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Zambia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 655.4 million USD | — |
| 1971 | 715.06 million USD | +9.1% |
| 1972 | 812.36 million USD | +13.6% |
| 1973 | 723.32 million USD | -11.0% |
| 1974 | 685.69 million USD | -5.2% |
| 1975 | 771.97 million USD | +12.6% |
| 1976 | 888.55 million USD | +15.1% |
| 1977 | 838.06 million USD | -5.7% |
| 1978 | 695.78 million USD | -17.0% |
| 1979 | 581.96 million USD | -16.4% |
| 1980 | 628.78 million USD | +8.0% |
| 1981 | 613.17 million USD | -2.5% |
| 1982 | 633.37 million USD | +3.3% |
| 1983 | 721.49 million USD | +13.9% |
| 1984 | 722.4 million USD | +0.1% |
| 1985 | 749.94 million USD | +3.8% |
| 1986 | 999.62 million USD | +33.3% |
| 1987 | 912.41 million USD | -8.7% |
| 1988 | 1,106 million USD | +21.2% |
| 1989 | 1,090 million USD | -1.4% |
| 1990 | 1,007 million USD | -7.7% |
| 1991 | 1,064 million USD | +5.7% |
| 1992 | 712.04 million USD | -33.1% |
| 1993 | 1,197 million USD | +68.1% |
| 1994 | 970.75 million USD | -18.9% |
| 1995 | 1,286 million USD | +32.5% |
| 1996 | 1,268 million USD | -1.4% |
| 1997 | 1,193 million USD | -6.0% |
| 1998 | 1,195 million USD | +0.2% |
| 1999 | 1,300 million USD | +8.8% |
| 2000 | 1,302 million USD | +0.2% |
| 2001 | 1,249 million USD | -4.1% |
| 2002 | 1,205 million USD | -3.5% |
| 2003 | 1,238 million USD | +2.8% |
| 2004 | 1,258 million USD | +1.6% |
| 2005 | 1,213 million USD | -3.6% |
| 2006 | 1,196 million USD | -1.4% |
| 2007 | 1,150 million USD | -3.8% |
| 2008 | 1,119 million USD | -2.7% |
| 2009 | 1,127 million USD | +0.6% |
| 2010 | 1,059 million USD | -6.0% |
| 2011 | 1,142 million USD | +7.8% |
| 2012 | 1,180 million USD | +3.4% |
| 2013 | 1,135 million USD | -3.8% |
| 2014 | 1,147 million USD | +1.1% |
| 2015 | 1,058 million USD | -7.7% |
| 2016 | 1,098 million USD | +3.7% |
| 2017 | 1,205 million USD | +9.8% |
| 2018 | 949.79 million USD | -21.2% |
| 2019 | 1,023 million USD | +7.7% |
| 2020 | 1,199 million USD | +17.2% |
| 2021 | 1,282 million USD | +6.9% |
| 2022 | 1,141 million USD | -11.0% |
| 2023 | 959.73 million USD | -15.9% |
| 2024 | 871.14 million USD | -9.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 736.82 million USD | 581.96 million USD | 888.55 million USD | 10 |
| 1980s | 817.78 million USD | 613.17 million USD | 1,106 million USD | 10 |
| 1990s | 1,119 million USD | 712.04 million USD | 1,300 million USD | 10 |
| 2000s | 1,206 million USD | 1,119 million USD | 1,302 million USD | 10 |
| 2010s | 1,100 million USD | 949.79 million USD | 1,205 million USD | 10 |
| 2020s | 1,091 million USD | 871.14 million USD | 1,282 million USD | 5 |
Countries ranked near Zambia
More environment data for Zambia
- Historical exposure to drought — Land soil moisture anomaly -2.98 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -3.03 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.265 °C (2025)
- Temperature change 1.11 °C (2025)
- Newsprint — Import quantity, gaps filled 5,071 t (2024)
- Newsprint — Import quantity, annual growth rate 11.43 % change on previous year (2024)
- Newsprint — Import value, gaps filled 4,714 1000 USD (2024)
- Newsprint — Import value, annual growth rate -4.77 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate -3.07 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Zambia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Zambia was 871.14 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Zambia?
- The highest recorded value was 1,302 million USD in 2000.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Zambia?
- The lowest recorded value was 581.96 million USD in 1979.
- How does Zambia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Zambia ranks 129th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Zambia?
- Over the last ten years it is down 24.0%. The long-run trend across the full record is rising.
- Where does this Zambia 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 US$, 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).