Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sri Lanka
Sri Lanka: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2.55 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Sri Lanka, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Sri Lanka recorded 2.55 million million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
The figure is up 11.4% on the previous year and up 192.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Sri Lanka peaked at 2.55 million million SLC in 2024 and was at its lowest, 3,816 million SLC, in 1971.
Sri Lanka ranks 41st 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 Sri Lanka, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,872 million SLC | — |
| 1971 | 3,816 million SLC | -1.5% |
| 1972 | 4,046 million SLC | +6.0% |
| 1973 | 5,138 million SLC | +27.0% |
| 1974 | 7,022 million SLC | +36.7% |
| 1975 | 5,779 million SLC | -17.7% |
| 1976 | 6,584 million SLC | +13.9% |
| 1977 | 8,174 million SLC | +24.1% |
| 1978 | 9,222 million SLC | +12.8% |
| 1979 | 11,586 million SLC | +25.6% |
| 1980 | 13,646 million SLC | +17.8% |
| 1981 | 17,371 million SLC | +27.3% |
| 1982 | 19,255 million SLC | +10.8% |
| 1983 | 23,226 million SLC | +20.6% |
| 1984 | 28,429 million SLC | +22.4% |
| 1985 | 29,354 million SLC | +3.3% |
| 1986 | 30,134 million SLC | +2.7% |
| 1987 | 32,912 million SLC | +9.2% |
| 1988 | 38,935 million SLC | +18.3% |
| 1989 | 43,280 million SLC | +11.2% |
| 1990 | 55,488 million SLC | +28.2% |
| 1991 | 62,454 million SLC | +12.6% |
| 1992 | 67,725 million SLC | +8.4% |
| 1993 | 79,055 million SLC | +16.7% |
| 1994 | 88,426 million SLC | +11.9% |
| 1995 | 94,520 million SLC | +6.9% |
| 1996 | 107,936 million SLC | +14.2% |
| 1997 | 120,900 million SLC | +12.0% |
| 1998 | 133,692 million SLC | +10.6% |
| 1999 | 146,066 million SLC | +9.3% |
| 2000 | 153,435 million SLC | +5.0% |
| 2001 | 163,438 million SLC | +6.5% |
| 2002 | 177,320 million SLC | +8.5% |
| 2003 | 183,018 million SLC | +3.2% |
| 2004 | 199,071 million SLC | +8.8% |
| 2005 | 220,047 million SLC | +10.5% |
| 2006 | 244,983 million SLC | +11.3% |
| 2007 | 316,775 million SLC | +29.3% |
| 2008 | 471,686 million SLC | +48.9% |
| 2009 | 507,943 million SLC | +7.7% |
| 2010 | 599,875 million SLC | +18.1% |
| 2011 | 714,144 million SLC | +19.0% |
| 2012 | 711,080 million SLC | -0.4% |
| 2013 | 787,578 million SLC | +10.8% |
| 2014 | 870,722 million SLC | +10.6% |
| 2015 | 950,452 million SLC | +9.2% |
| 2016 | 930,442 million SLC | -2.1% |
| 2017 | 1.07 million million SLC | +14.9% |
| 2018 | 1.17 million million SLC | +9.0% |
| 2019 | 1.15 million million SLC | -0.9% |
| 2020 | 1.29 million million SLC | +11.8% |
| 2021 | 1.55 million million SLC | +19.9% |
| 2022 | 2.04 million million SLC | +32.1% |
| 2023 | 2.29 million million SLC | +11.9% |
| 2024 | 2.55 million million SLC | +11.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6,524 million SLC | 3,816 million SLC | 11,586 million SLC | 10 |
| 1980s | 27,654 million SLC | 13,646 million SLC | 43,280 million SLC | 10 |
| 1990s | 95,626 million SLC | 55,488 million SLC | 146,066 million SLC | 10 |
| 2000s | 263,772 million SLC | 153,435 million SLC | 507,943 million SLC | 10 |
| 2010s | 895,344 million SLC | 599,875 million SLC | 1.17 million million SLC | 10 |
| 2020s | 1.94 million million SLC | 1.29 million million SLC | 2.55 million million SLC | 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)
- Paper and paperboard — Import quantity, annual growth rate 15.47 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0191 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 2.74 % change on previous year (2024)
- Paper and paperboard — 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 Sri Lanka?
- Value added (agriculture, forestry and fishing) — value standard in Sri Lanka was 2.55 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 Sri Lanka?
- The highest recorded value was 2.55 million million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Sri Lanka?
- The lowest recorded value was 3,816 million SLC in 1971.
- How does Sri Lanka rank for value added (agriculture, forestry and fishing) — value standard?
- Sri Lanka ranks 41st out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Sri Lanka?
- Over the last ten years it is up 192.7%. The long-run trend across the full record is volatile.
- 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 Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).