Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sri Lanka
Sri Lanka: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 6,960 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sri Lanka, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value us$, 2015 in Sri Lanka is 6,960 million USD, measured in 2024.
That represents a change of up 1.2% on the previous year and up 4.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Sri Lanka peaked at 6,997 million USD in 2021 and was at its lowest, 1,860 million USD, in 1973.
Sri Lanka ranks 56th of 200 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Sri Lanka, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 1,891 million USD | — |
| 1971 | 1,880 million USD | -0.6% |
| 1972 | 1,880 million USD | -0.0% |
| 1973 | 1,860 million USD | -1.1% |
| 1974 | 1,969 million USD | +5.9% |
| 1975 | 1,994 million USD | +1.2% |
| 1976 | 2,073 million USD | +4.0% |
| 1977 | 2,168 million USD | +4.6% |
| 1978 | 2,318 million USD | +6.9% |
| 1979 | 2,422 million USD | +4.5% |
| 1980 | 2,461 million USD | +1.6% |
| 1981 | 2,645 million USD | +7.5% |
| 1982 | 2,728 million USD | +3.1% |
| 1983 | 2,892 million USD | +6.0% |
| 1984 | 2,683 million USD | -7.2% |
| 1985 | 2,931 million USD | +9.3% |
| 1986 | 2,952 million USD | +0.7% |
| 1987 | 2,778 million USD | -5.9% |
| 1988 | 2,850 million USD | +2.6% |
| 1989 | 2,769 million USD | -2.9% |
| 1990 | 3,012 million USD | +8.8% |
| 1991 | 3,066 million USD | +1.8% |
| 1992 | 3,010 million USD | -1.8% |
| 1993 | 3,214 million USD | +6.8% |
| 1994 | 3,319 million USD | +3.3% |
| 1995 | 3,433 million USD | +3.4% |
| 1996 | 3,293 million USD | -4.1% |
| 1997 | 3,394 million USD | +3.1% |
| 1998 | 3,477 million USD | +2.4% |
| 1999 | 3,685 million USD | +6.0% |
| 2000 | 3,771 million USD | +2.3% |
| 2001 | 3,627 million USD | -3.8% |
| 2002 | 3,697 million USD | +1.9% |
| 2003 | 3,759 million USD | +1.7% |
| 2004 | 3,759 million USD | +0.0% |
| 2005 | 3,827 million USD | +1.8% |
| 2006 | 3,942 million USD | +3.0% |
| 2007 | 4,200 million USD | +6.5% |
| 2008 | 4,764 million USD | +13.4% |
| 2009 | 5,092 million USD | +6.9% |
| 2010 | 5,498 million USD | +8.0% |
| 2011 | 5,791 million USD | +5.3% |
| 2012 | 6,101 million USD | +5.4% |
| 2013 | 6,348 million USD | +4.0% |
| 2014 | 6,639 million USD | +4.6% |
| 2015 | 6,996 million USD | +5.4% |
| 2016 | 6,670 million USD | -4.7% |
| 2017 | 6,548 million USD | -1.8% |
| 2018 | 6,958 million USD | +6.3% |
| 2019 | 6,990 million USD | +0.5% |
| 2020 | 6,927 million USD | -0.9% |
| 2021 | 6,997 million USD | +1.0% |
| 2022 | 6,704 million USD | -4.2% |
| 2023 | 6,877 million USD | +2.6% |
| 2024 | 6,960 million USD | +1.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 2,045 million USD | 1,860 million USD | 2,422 million USD | 10 |
| 1980s | 2,769 million USD | 2,461 million USD | 2,952 million USD | 10 |
| 1990s | 3,290 million USD | 3,010 million USD | 3,685 million USD | 10 |
| 2000s | 4,044 million USD | 3,627 million USD | 5,092 million USD | 10 |
| 2010s | 6,454 million USD | 5,498 million USD | 6,996 million USD | 10 |
| 2020s | 6,893 million USD | 6,704 million USD | 6,997 million USD | 5 |
Countries ranked near Sri Lanka
More environment data for Sri Lanka
- Historical exposure to drought — Land soil moisture anomaly 5.24 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 5.49 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.207 °C (2025)
- Temperature change 0.849 °C (2025)
- Graphic papers — Import quantity, annual growth rate 9.39 % change on previous year (2024)
- Graphic papers — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Graphic papers — Import quantity, per capita 0.008 t per person (2024)
- Graphic papers — Import value, annual growth rate -9.33 % change on previous year (2024)
- Graphic papers — 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 us$, 2015 in Sri Lanka?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Sri Lanka was 6,960 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$, 2015 recorded in Sri Lanka?
- The highest recorded value was 6,997 million USD in 2021.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Sri Lanka?
- The lowest recorded value was 1,860 million USD in 1973.
- How does Sri Lanka rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Sri Lanka ranks 56th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Sri Lanka?
- Over the last ten years it is up 4.8%. The long-run trend across the full record is rising.
- Where does this Sri Lanka 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).