Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Thailand

Thailand: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 198,500 million SLC in 2023. ▲ Rising

Latest (2023)
198,500 million SLC
Change on year
up 7.6%
World rank
25th
of 181 countries
All-time high
198,500 million SLC
in 2023
All-time low
105,070 million SLC
in 1995
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Thailand, 1995–2023

050.0k100.0k150.0k200.0k1995200920231995: 105.1k million SLC1996: 108.8k million SLC1997: 111.9k million SLC1998: 113.6k million SLC1999: 114.2k million SLC2000: 114.0k million SLC2001: 113.6k million SLC2002: 113.5k million SLC2003: 114.4k million SLC2004: 116.2k million SLC2005: 118.4k million SLC2006: 121.1k million SLC2007: 124.3k million SLC2008: 127.9k million SLC2009: 131.4k million SLC2010: 135.4k million SLC2011: 140.7k million SLC2012: 146.8k million SLC2013: 153.0k million SLC2014: 158.2k million SLC2015: 161.9k million SLC2016: 165.0k million SLC2017: 168.1k million SLC2018: 171.3k million SLC2019: 174.6k million SLC2020: 177.9k million SLC2021: 181.1k million SLC2022: 184.5k million SLC2023: 198.5k million SLC

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2023, consumption of fixed capital (agriculture, forestry and fishing) in Thailand stood at 198,500 million SLC. That is the highest value across all 29 years on record.

The figure is up 7.6% on the previous year and up 29.7% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Thailand peaked at 198,500 million SLC in 2023 and was at its lowest, 105,070 million SLC, in 1995.

That places Thailand 25th out of 181 countries with data for 2023, putting it in the top quarter.

The long-run direction has been consistently rising across the 29 years of available data.

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Thailand, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Thailand, 1995 to 2023.
Year million SLC Change
1995 105,070 million SLC
1996 108,766 million SLC +3.5%
1997 111,920 million SLC +2.9%
1998 113,642 million SLC +1.5%
1999 114,164 million SLC +0.5%
2000 113,976 million SLC -0.2%
2001 113,581 million SLC -0.3%
2002 113,532 million SLC -0.0%
2003 114,409 million SLC +0.8%
2004 116,183 million SLC +1.6%
2005 118,443 million SLC +1.9%
2006 121,141 million SLC +2.3%
2007 124,290 million SLC +2.6%
2008 127,900 million SLC +2.9%
2009 131,420 million SLC +2.8%
2010 135,444 million SLC +3.1%
2011 140,744 million SLC +3.9%
2012 146,752 million SLC +4.3%
2013 153,022 million SLC +4.3%
2014 158,242 million SLC +3.4%
2015 161,885 million SLC +2.3%
2016 164,957 million SLC +1.9%
2017 168,097 million SLC +1.9%
2018 171,335 million SLC +1.9%
2019 174,649 million SLC +1.9%
2020 177,901 million SLC +1.9%
2021 181,078 million SLC +1.8%
2022 184,466 million SLC +1.9%
2023 198,500 million SLC +7.6%

Averages by decade

DecadeAverage LowestHighest Years
1990s 110,712 million SLC 105,070 million SLC 114,164 million SLC 5
2000s 119,488 million SLC 113,532 million SLC 131,420 million SLC 10
2010s 157,513 million SLC 135,444 million SLC 174,649 million SLC 10
2020s 185,486 million SLC 177,901 million SLC 198,500 million SLC 4

Countries ranked near Thailand

  1. 22 Mongolia 312,417 million SLC compare
  2. 23 Yemen 276,078 million SLC compare
  3. 24 Cameroon 198,813 million SLC compare
  4. 26 Bangladesh 191,215 million SLC compare
  5. 27 Philippines 179,735 million SLC compare
  6. 28 Algeria 173,921 million SLC compare

See the full ranking of 194 places →

More environment data for Thailand

All data for Thailand →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Thailand?
Consumption of fixed capital (agriculture, forestry and fishing) in Thailand was 198,500 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in Thailand?
The highest recorded value was 198,500 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Thailand?
The lowest recorded value was 105,070 million SLC in 1995.
How does Thailand rank for consumption of fixed capital (agriculture, forestry and fishing)?
Thailand ranks 25th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Thailand?
Over the last ten years it is up 29.7%. 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 Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Thailand. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/thailand/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,511 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.