Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bermuda

Bermuda: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 19.56 million SLC in 2023. ▬ Flat

Latest (2023)
19.56 million SLC
Change on year
up 0.5%
World rank
172nd
of 179 countries
All-time high
20.38 million SLC
in 2009
All-time low
18.23 million SLC
in 2000
Years of data
24
2000–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bermuda, 2000–2023

051015202000201120232000: 18.2 million SLC2001: 18.6 million SLC2002: 18.8 million SLC2003: 19 million SLC2004: 19.4 million SLC2005: 19.6 million SLC2006: 19.9 million SLC2007: 20.1 million SLC2008: 20.3 million SLC2009: 20.4 million SLC2010: 20.4 million SLC2011: 20.3 million SLC2012: 20.2 million SLC2013: 20.2 million SLC2014: 20 million SLC2015: 20 million SLC2016: 19.9 million SLC2017: 19.9 million SLC2018: 19.9 million SLC2019: 19.8 million SLC2020: 19.7 million SLC2021: 19.6 million SLC2022: 19.5 million SLC2023: 19.6 million SLC

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

Analysis

The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Bermuda is 19.56 million SLC, measured in 2023.

The figure is up 0.5% on the previous year and down 3.1% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Bermuda peaked at 20.38 million SLC in 2009 and was at its lowest, 18.23 million SLC, in 2000.

Bermuda ranks 172nd of 179 countries on this measure, in the bottom quarter.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bermuda, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Bermuda, 2000 to 2023.
Year million SLC Change
2000 18.23 million SLC
2001 18.56 million SLC +1.8%
2002 18.82 million SLC +1.4%
2003 19.04 million SLC +1.2%
2004 19.36 million SLC +1.6%
2005 19.62 million SLC +1.4%
2006 19.89 million SLC +1.3%
2007 20.09 million SLC +1.0%
2008 20.32 million SLC +1.2%
2009 20.38 million SLC +0.3%
2010 20.36 million SLC -0.1%
2011 20.31 million SLC -0.2%
2012 20.21 million SLC -0.5%
2013 20.19 million SLC -0.1%
2014 20.03 million SLC -0.7%
2015 19.95 million SLC -0.4%
2016 19.95 million SLC -0.0%
2017 19.93 million SLC -0.1%
2018 19.87 million SLC -0.3%
2019 19.79 million SLC -0.4%
2020 19.69 million SLC -0.5%
2021 19.63 million SLC -0.3%
2022 19.47 million SLC -0.8%
2023 19.56 million SLC +0.5%

Averages by decade

DecadeAverage LowestHighest Years
2000s 19.43 million SLC 18.23 million SLC 20.38 million SLC 10
2010s 20.06 million SLC 19.79 million SLC 20.36 million SLC 10
2020s 19.59 million SLC 19.47 million SLC 19.69 million SLC 4

Countries ranked near Bermuda

  1. 169 Saint Kitts and Nevis 44.67 million SLC compare
  2. 170 Marshall Islands 29.55 million SLC compare
  3. 171 Andorra 19.63 million SLC compare
  4. 173 Cayman Islands 15.63 million SLC compare
  5. 174 Anguilla 9.71 million SLC compare
  6. 175 Palau 7.23 million SLC compare

See the full ranking of 192 places →

More environment data for Bermuda

All data for Bermuda →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Bermuda?
Net capital stocks (agriculture, forestry and fishing) — value in Bermuda was 19.56 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Bermuda?
The highest recorded value was 20.38 million SLC in 2009.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Bermuda?
The lowest recorded value was 18.23 million SLC in 2000.
How does Bermuda rank for net capital stocks (agriculture, forestry and fishing) — value?
Bermuda ranks 172nd out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Bermuda?
Over the last ten years it is down 3.1%. The long-run trend across the full record is flat.
Where does this Bermuda data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Bermuda. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 08 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/bermuda/

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About this data

Indicator
Net Capital Stocks (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
192 places, 5,493 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.