Value Added (Agriculture, Forestry and Fishing) — Value Standard in Thailand
Thailand: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 1.36 million million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Thailand, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Thailand stood at 1.36 million million SLC.
The figure is down 1.0% on the previous year and up 4.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Thailand peaked at 1.37 million million SLC in 2023 and was at its lowest, 315,459 million SLC, in 1970.
Thailand ranks 38th of 191 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Thailand, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 315,459 million SLC | — |
| 1971 | 329,041 million SLC | +4.3% |
| 1972 | 323,454 million SLC | -1.7% |
| 1973 | 353,984 million SLC | +9.4% |
| 1974 | 364,304 million SLC | +2.9% |
| 1975 | 380,225 million SLC | +4.4% |
| 1976 | 403,203 million SLC | +6.0% |
| 1977 | 412,473 million SLC | +2.3% |
| 1978 | 463,889 million SLC | +12.5% |
| 1979 | 455,415 million SLC | -1.8% |
| 1980 | 463,244 million SLC | +1.7% |
| 1981 | 486,954 million SLC | +5.1% |
| 1982 | 499,006 million SLC | +2.5% |
| 1983 | 522,816 million SLC | +4.8% |
| 1984 | 545,922 million SLC | +4.4% |
| 1985 | 570,532 million SLC | +4.5% |
| 1986 | 572,708 million SLC | +0.4% |
| 1987 | 573,097 million SLC | +0.1% |
| 1988 | 633,332 million SLC | +10.5% |
| 1989 | 695,208 million SLC | +9.8% |
| 1990 | 662,581 million SLC | -4.7% |
| 1991 | 707,604 million SLC | +6.8% |
| 1992 | 739,185 million SLC | +4.5% |
| 1993 | 754,025 million SLC | +2.0% |
| 1994 | 804,335 million SLC | +6.7% |
| 1995 | 814,623 million SLC | +1.3% |
| 1996 | 857,727 million SLC | +5.3% |
| 1997 | 853,600 million SLC | -0.5% |
| 1998 | 859,449 million SLC | +0.7% |
| 1999 | 900,925 million SLC | +4.8% |
| 2000 | 962,181 million SLC | +6.8% |
| 2001 | 991,827 million SLC | +3.1% |
| 2002 | 992,949 million SLC | +0.1% |
| 2003 | 1.11 million million SLC | +12.0% |
| 2004 | 1.10 million million SLC | -1.1% |
| 2005 | 1.10 million million SLC | -0.1% |
| 2006 | 1.14 million million SLC | +3.9% |
| 2007 | 1.16 million million SLC | +1.9% |
| 2008 | 1.20 million million SLC | +2.9% |
| 2009 | 1.19 million million SLC | -0.2% |
| 2010 | 1.19 million million SLC | -0.5% |
| 2011 | 1.26 million million SLC | +6.3% |
| 2012 | 1.30 million million SLC | +2.7% |
| 2013 | 1.31 million million SLC | +0.7% |
| 2014 | 1.30 million million SLC | -0.3% |
| 2015 | 1.22 million million SLC | -6.5% |
| 2016 | 1.21 million million SLC | -1.2% |
| 2017 | 1.26 million million SLC | +4.8% |
| 2018 | 1.34 million million SLC | +6.1% |
| 2019 | 1.33 million million SLC | -1.0% |
| 2020 | 1.29 million million SLC | -3.2% |
| 2021 | 1.31 million million SLC | +2.2% |
| 2022 | 1.35 million million SLC | +2.5% |
| 2023 | 1.37 million million SLC | +1.9% |
| 2024 | 1.36 million million SLC | -1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 380,145 million SLC | 315,459 million SLC | 463,889 million SLC | 10 |
| 1980s | 556,282 million SLC | 463,244 million SLC | 695,208 million SLC | 10 |
| 1990s | 795,405 million SLC | 662,581 million SLC | 900,925 million SLC | 10 |
| 2000s | 1.10 million million SLC | 962,181 million SLC | 1.20 million million SLC | 10 |
| 2010s | 1.27 million million SLC | 1.19 million million SLC | 1.34 million million SLC | 10 |
| 2020s | 1.34 million million SLC | 1.29 million million SLC | 1.37 million million SLC | 5 |
Countries ranked near Thailand
More environment data for Thailand
- Historical exposure to drought — Land soil moisture anomaly 1.44 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.54 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.306 °C (2025)
- Temperature change 1.01 °C (2025)
- Sawnwood — Production, annual growth rate 5.66 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.0781 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate 22.92 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Thailand?
- Value added (agriculture, forestry and fishing) — value standard in Thailand was 1.36 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 Thailand?
- The highest recorded value was 1.37 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Thailand?
- The lowest recorded value was 315,459 million SLC in 1970.
- How does Thailand rank for value added (agriculture, forestry and fishing) — value standard?
- Thailand ranks 38th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Thailand?
- Over the last ten years it is up 4.2%. The long-run trend across the full record is rising.
- Where does this Thailand 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.
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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).