Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda

Bermuda: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 0.68 million SLC in 2023. ▼ Falling

Latest (2023)
0.68 million SLC
Change on year
down 5.2%
World rank
175th
of 181 countries
All-time high
1.01 million SLC
in 2008
All-time low
0.6487 million SLC
in 2000
Years of data
24
2000–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda, 2000–2023

00.250.50.7512000201120232000: 0.649 million SLC2001: 0.73 million SLC2002: 0.757 million SLC2003: 0.761 million SLC2004: 0.873 million SLC2005: 0.902 million SLC2006: 0.958 million SLC2007: 0.936 million SLC2008: 1 million SLC2009: 0.849 million SLC2010: 0.783 million SLC2011: 0.768 million SLC2012: 0.712 million SLC2013: 0.786 million SLC2014: 0.666 million SLC2015: 0.736 million SLC2016: 0.812 million SLC2017: 0.808 million SLC2018: 0.768 million SLC2019: 0.753 million SLC2020: 0.745 million SLC2021: 0.796 million SLC2022: 0.717 million SLC2023: 0.68 million SLC

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

Analysis

In 2023, gross fixed capital formation (agriculture, forestry and fishing) in Bermuda stood at 0.68 million SLC.

Compared with earlier readings it is down 5.2% on the previous year and down 13.5% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Bermuda peaked at 1.01 million SLC in 2008 and was at its lowest, 0.6487 million SLC, in 2000.

That places Bermuda 175th out of 181 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently falling across the 24 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Bermuda, 2000 to 2023.
Year million SLC Change
2000 0.6487 million SLC
2001 0.7304 million SLC +12.6%
2002 0.757 million SLC +3.6%
2003 0.7608 million SLC +0.5%
2004 0.8731 million SLC +14.8%
2005 0.9021 million SLC +3.3%
2006 0.9584 million SLC +6.2%
2007 0.9361 million SLC -2.3%
2008 1.01 million SLC +8.3%
2009 0.8494 million SLC -16.2%
2010 0.7833 million SLC -7.8%
2011 0.7677 million SLC -2.0%
2012 0.7124 million SLC -7.2%
2013 0.7865 million SLC +10.4%
2014 0.6661 million SLC -15.3%
2015 0.7361 million SLC +10.5%
2016 0.8116 million SLC +10.3%
2017 0.8085 million SLC -0.4%
2018 0.7676 million SLC -5.1%
2019 0.7535 million SLC -1.8%
2020 0.7447 million SLC -1.2%
2021 0.7963 million SLC +6.9%
2022 0.7173 million SLC -9.9%
2023 0.68 million SLC -5.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.843 million SLC 0.6487 million SLC 1.01 million SLC 10
2010s 0.7593 million SLC 0.6661 million SLC 0.8116 million SLC 10
2020s 0.7346 million SLC 0.68 million SLC 0.7963 million SLC 4

Countries ranked near Bermuda

  1. 172 Marshall Islands 2.62 million SLC compare
  2. 173 Cayman Islands 2.32 million SLC compare
  3. 174 Andorra 1.87 million SLC compare
  4. 176 Turks and Caicos Islands 0.63 million SLC compare
  5. 176 Tuvalu 0.63 million SLC compare
  6. 178 Palau 0.46 million SLC compare

See the full ranking of 194 places →

More environment data for Bermuda

All data for Bermuda →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Bermuda?
Gross fixed capital formation (agriculture, forestry and fishing) in Bermuda was 0.68 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Bermuda?
The highest recorded value was 1.01 million SLC in 2008.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Bermuda?
The lowest recorded value was 0.6487 million SLC in 2000.
How does Bermuda rank for gross fixed capital formation (agriculture, forestry and fishing)?
Bermuda ranks 175th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Bermuda?
Over the last ten years it is down 13.5%. The long-run trend across the full record is falling.
Where does this Bermuda data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-standard-local/bermuda/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value Standard Local Currency
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,531 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.