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

Bermuda: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 0.5 million USD in 2023. ◆ Volatile

Latest (2023)
0.5 million USD
Change on year
down 1.1%
World rank
176th
of 182 countries
All-time high
2.59 million USD
in 2013
All-time low
0.2472 million USD
in 2004
Years of data
24
2000–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Bermuda, 2000–2023

00.511.522.52000201120232000: 0.383 million USD2001: 0.426 million USD2002: 0.423 million USD2003: 0.254 million USD2004: 0.247 million USD2005: 0.285 million USD2006: 0.261 million USD2007: 0.278 million USD2008: 0.373 million USD2009: 0.295 million USD2010: 0.279 million USD2011: 0.523 million USD2012: 2.6 million USD2013: 2.6 million USD2014: 0.523 million USD2015: 0.53 million USD2016: 0.508 million USD2017: 0.455 million USD2018: 0.576 million USD2019: 0.513 million USD2020: 0.504 million USD2021: 0.614 million USD2022: 0.505 million USD2023: 0.5 million USD

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in Bermuda is 0.5 million USD, measured in 2023.

Compared with earlier readings it is down 1.1% on the previous year and down 80.7% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Bermuda peaked at 2.59 million USD in 2013 and was at its lowest, 0.2472 million USD, in 2004.

Bermuda ranks 176th of 182 countries on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

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

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Bermuda, 2000 to 2023.
Year million USD Change
2000 0.3826 million USD
2001 0.4261 million USD +11.4%
2002 0.4234 million USD -0.6%
2003 0.2545 million USD -39.9%
2004 0.2472 million USD -2.8%
2005 0.2848 million USD +15.2%
2006 0.261 million USD -8.4%
2007 0.278 million USD +6.5%
2008 0.3731 million USD +34.2%
2009 0.295 million USD -20.9%
2010 0.2792 million USD -5.3%
2011 0.5234 million USD +87.4%
2012 2.57 million USD +390.7%
2013 2.59 million USD +1.0%
2014 0.5228 million USD -79.8%
2015 0.53 million USD +1.4%
2016 0.5081 million USD -4.1%
2017 0.4551 million USD -10.4%
2018 0.5765 million USD +26.7%
2019 0.5134 million USD -11.0%
2020 0.5042 million USD -1.8%
2021 0.6145 million USD +21.9%
2022 0.5054 million USD -17.8%
2023 0.5 million USD -1.1%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.3226 million USD 0.2472 million USD 0.4261 million USD 10
2010s 0.9071 million USD 0.2792 million USD 2.59 million USD 10
2020s 0.531 million USD 0.5 million USD 0.6145 million USD 4

Countries ranked near Bermuda

  1. 173 Curaçao 1.27 million USD compare
  2. 174 Saint Kitts and Nevis 0.99 million USD compare
  3. 175 Cayman Islands 0.79 million USD compare
  4. 177 Palau 0.43 million USD compare
  5. 178 Turks and Caicos Islands 0.36 million USD compare
  6. 179 Anguilla 0.3 million USD compare

See the full ranking of 228 places →

More environment data for Bermuda

All data for Bermuda →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Bermuda?
Consumption of fixed capital (agriculture, forestry and fishing) in Bermuda was 0.5 million USD 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 Bermuda?
The highest recorded value was 2.59 million USD in 2013.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Bermuda?
The lowest recorded value was 0.2472 million USD in 2004.
How does Bermuda rank for consumption of fixed capital (agriculture, forestry and fishing)?
Bermuda ranks 176th out of 182 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Bermuda?
Over the last ten years it is down 80.7%. The long-run trend across the full record is volatile.
Where does this Bermuda 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 US$, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Bermuda. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-us-2015-prices/bermuda/

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About this data

Indicator
Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,497 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.