Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Turks and Caicos Islands
Turks and Caicos Islands: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 0.53 million SLC in 2023. ▲ Rising
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Turks and Caicos Islands, 1995–2023
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 Turks and Caicos Islands stood at 0.53 million SLC. That is the highest value across all 29 years on record.
The figure is up 12.5% on the previous year and up 85.9% over ten years.
Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Turks and Caicos Islands peaked at 0.53 million SLC in 2023 and was at its lowest, 0.0509 million SLC, in 1995.
That places Turks and Caicos Islands 178th out of 181 countries with data for 2023, putting it in the bottom 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 Turks and Caicos Islands, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 0.0509 million SLC | — |
| 1996 | 0.056 million SLC | +10.0% |
| 1997 | 0.0611 million SLC | +9.1% |
| 1998 | 0.0682 million SLC | +11.7% |
| 1999 | 0.0765 million SLC | +12.2% |
| 2000 | 0.258 million SLC | +237.3% |
| 2001 | 0.261 million SLC | +1.2% |
| 2002 | 0.217 million SLC | -16.9% |
| 2003 | 0.28 million SLC | +29.0% |
| 2004 | 0.336 million SLC | +20.0% |
| 2005 | 0.4 million SLC | +19.0% |
| 2006 | 0.4 million SLC | +0.0% |
| 2007 | 0.4 million SLC | +0.0% |
| 2008 | 0.2332 million SLC | -41.7% |
| 2009 | 0.2525 million SLC | +8.3% |
| 2010 | 0.2522 million SLC | -0.1% |
| 2011 | 0.2609 million SLC | +3.4% |
| 2012 | 0.2713 million SLC | +4.0% |
| 2013 | 0.2851 million SLC | +5.1% |
| 2014 | 0.3022 million SLC | +6.0% |
| 2015 | 0.3132 million SLC | +3.6% |
| 2016 | 0.329 million SLC | +5.1% |
| 2017 | 0.3435 million SLC | +4.4% |
| 2018 | 0.3632 million SLC | +5.7% |
| 2019 | 0.3796 million SLC | +4.5% |
| 2020 | 0.4062 million SLC | +7.0% |
| 2021 | 0.425 million SLC | +4.6% |
| 2022 | 0.471 million SLC | +10.8% |
| 2023 | 0.53 million SLC | +12.5% |
Turks and Caicos Islands compared with similar countries
- Turks and Caicos Islands's 0.53 million SLC is below the median for high income countries, which is 1,043 million SLC, 0% of the median. (61 countries reporting)
- Turks and Caicos Islands's 0.53 million SLC is below the median for Latin America & Caribbean, which is 409.48 million SLC, 0% of the median. (35 countries reporting)
Biggest year-on-year movements
Years where Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Turks and Caicos Islands changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2000 | +237.3% | 0.0765 million SLC | 0.258 million SLC |
| 2008 | -41.7% | 0.4 million SLC | 0.2332 million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.0625 million SLC | 0.0509 million SLC | 0.0765 million SLC | 5 |
| 2000s | 0.3038 million SLC | 0.217 million SLC | 0.4 million SLC | 10 |
| 2010s | 0.31 million SLC | 0.2522 million SLC | 0.3796 million SLC | 10 |
| 2020s | 0.4581 million SLC | 0.4062 million SLC | 0.53 million SLC | 4 |
Countries ranked near Turks and Caicos Islands
More environment data for Turks and Caicos Islands
- Standard Deviation, annual growth rate 58.48 % change on previous year (1993)
- Historical exposure to drought — Land soil moisture anomaly 11.79 Percentage change (2025)
- Temperature change -0.665 °C (1993)
- Standard Deviation 0.832 °C (1993)
- Wood fuel, coniferous — Production 0 m3 (2024)
- Pulp for paper — Import quantity 1 t (2024)
- Wood fuel, non-coniferous — Production 1,308 m3 (2024)
- Total fibre furnish — Import quantity 1 t (2024)
- Fibreboard — Import value 110 1000 USD (2024)
- Industrial roundwood — Export quantity 0 m3 (2024)
Frequently asked questions
- What is consumption of fixed capital (agriculture, forestry and fishing) in Turks and Caicos Islands?
- Consumption of fixed capital (agriculture, forestry and fishing) in Turks and Caicos Islands was 0.53 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 Turks and Caicos Islands?
- The highest recorded value was 0.53 million SLC in 2023.
- What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Turks and Caicos Islands?
- The lowest recorded value was 0.0509 million SLC in 1995.
- How does Turks and Caicos Islands rank for consumption of fixed capital (agriculture, forestry and fishing)?
- Turks and Caicos Islands ranks 178th out of 181 countries with data for 2023.
- Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Turks and Caicos Islands?
- Over the last ten years it is up 85.9%. The long-run trend across the full record is rising.
- Where does this Turks and Caicos Islands 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. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.