Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Cambodia
Cambodia: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 5,278 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Cambodia, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in Cambodia stood at 5,278 million USD. That is the highest value across all 55 years on record.
The figure is up 1.0% on the previous year and up 8.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Cambodia peaked at 5,278 million USD in 2024 and was at its lowest, 1,022 million USD, in 1980.
That places Cambodia 67th out of 200 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Cambodia, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 2,140 million USD | — |
| 1971 | 2,033 million USD | -5.0% |
| 1972 | 1,923 million USD | -5.4% |
| 1973 | 1,558 million USD | -19.0% |
| 1974 | 1,476 million USD | -5.3% |
| 1975 | 1,456 million USD | -1.3% |
| 1976 | 1,457 million USD | +0.0% |
| 1977 | 1,245 million USD | -14.6% |
| 1978 | 1,241 million USD | -0.2% |
| 1979 | 1,082 million USD | -12.9% |
| 1980 | 1,022 million USD | -5.5% |
| 1981 | 1,024 million USD | +0.2% |
| 1982 | 1,030 million USD | +0.5% |
| 1983 | 1,054 million USD | +2.3% |
| 1984 | 1,117 million USD | +6.1% |
| 1985 | 1,180 million USD | +5.6% |
| 1986 | 1,232 million USD | +4.4% |
| 1987 | 1,529 million USD | +24.0% |
| 1988 | 1,520 million USD | -0.6% |
| 1989 | 1,802 million USD | +18.6% |
| 1990 | 1,823 million USD | +1.2% |
| 1991 | 1,946 million USD | +6.7% |
| 1992 | 1,983 million USD | +1.9% |
| 1993 | 1,962 million USD | -1.0% |
| 1994 | 2,167 million USD | +10.4% |
| 1995 | 2,262 million USD | +4.4% |
| 1996 | 2,314 million USD | +2.3% |
| 1997 | 2,440 million USD | +5.4% |
| 1998 | 2,547 million USD | +4.4% |
| 1999 | 2,620 million USD | +2.9% |
| 2000 | 2,614 million USD | -0.2% |
| 2001 | 2,703 million USD | +3.4% |
| 2002 | 2,634 million USD | -2.5% |
| 2003 | 2,946 million USD | +11.8% |
| 2004 | 2,937 million USD | -0.3% |
| 2005 | 3,423 million USD | +16.5% |
| 2006 | 3,615 million USD | +5.6% |
| 2007 | 3,830 million USD | +5.9% |
| 2008 | 4,056 million USD | +5.9% |
| 2009 | 4,283 million USD | +5.6% |
| 2010 | 4,472 million USD | +4.4% |
| 2011 | 4,585 million USD | +2.5% |
| 2012 | 4,780 million USD | +4.3% |
| 2013 | 4,831 million USD | +1.1% |
| 2014 | 4,860 million USD | +0.6% |
| 2015 | 4,869 million USD | +0.2% |
| 2016 | 4,933 million USD | +1.3% |
| 2017 | 5,016 million USD | +1.7% |
| 2018 | 5,071 million USD | +1.1% |
| 2019 | 5,053 million USD | -0.4% |
| 2020 | 5,083 million USD | +0.6% |
| 2021 | 5,161 million USD | +1.5% |
| 2022 | 5,192 million USD | +0.6% |
| 2023 | 5,228 million USD | +0.7% |
| 2024 | 5,278 million USD | +1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,561 million USD | 1,082 million USD | 2,140 million USD | 10 |
| 1980s | 1,251 million USD | 1,022 million USD | 1,802 million USD | 10 |
| 1990s | 2,207 million USD | 1,823 million USD | 2,620 million USD | 10 |
| 2000s | 3,304 million USD | 2,614 million USD | 4,283 million USD | 10 |
| 2010s | 4,847 million USD | 4,472 million USD | 5,071 million USD | 10 |
| 2020s | 5,189 million USD | 5,083 million USD | 5,278 million USD | 5 |
Countries ranked near Cambodia
More environment data for Cambodia
- Historical exposure to drought — Land soil moisture anomaly 0.5487 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.06 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.288 °C (2025)
- Temperature change 0.929 °C (2025)
- Other paper and paperboard — Import quantity, annual growth rate 55.62 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0213 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 39.14 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0142 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 692.67 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Cambodia?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Cambodia was 5,278 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$, 2015 recorded in Cambodia?
- The highest recorded value was 5,278 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Cambodia?
- The lowest recorded value was 1,022 million USD in 1980.
- How does Cambodia rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Cambodia ranks 67th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Cambodia?
- Over the last ten years it is up 8.6%. The long-run trend across the full record is volatile.
- Where does this Cambodia 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).