Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda
Bermuda: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 0.59 million SLC in 2023. ▼ Falling
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Bermuda, 2000–2023
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 0.59 million SLC. That is the lowest value across all 24 years on record.
Compared with earlier readings it is down 6.7% on the previous year and down 26.0% over ten years.
Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Bermuda peaked at 1.1 million SLC in 2004 and was at its lowest, 0.59 million SLC, in 2023.
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
| Year | million SLC | Change |
|---|---|---|
| 2000 | 0.9394 million SLC | — |
| 2001 | 1.07 million SLC | +14.1% |
| 2002 | 1.02 million SLC | -4.5% |
| 2003 | 1 million SLC | -2.3% |
| 2004 | 1.1 million SLC | +9.7% |
| 2005 | 1.06 million SLC | -3.2% |
| 2006 | 1.07 million SLC | +0.8% |
| 2007 | 1.01 million SLC | -5.3% |
| 2008 | 1.06 million SLC | +5.0% |
| 2009 | 0.8831 million SLC | -17.0% |
| 2010 | 0.81 million SLC | -8.3% |
| 2011 | 0.7879 million SLC | -2.7% |
| 2012 | 0.7261 million SLC | -7.8% |
| 2013 | 0.7971 million SLC | +9.8% |
| 2014 | 0.6697 million SLC | -16.0% |
| 2015 | 0.7361 million SLC | +9.9% |
| 2016 | 0.8085 million SLC | +9.8% |
| 2017 | 0.7999 million SLC | -1.1% |
| 2018 | 0.7501 million SLC | -6.2% |
| 2019 | 0.7298 million SLC | -2.7% |
| 2020 | 0.7085 million SLC | -2.9% |
| 2021 | 0.7414 million SLC | +4.6% |
| 2022 | 0.6323 million SLC | -14.7% |
| 2023 | 0.59 million SLC | -6.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1.02 million SLC | 0.8831 million SLC | 1.1 million SLC | 10 |
| 2010s | 0.7615 million SLC | 0.6697 million SLC | 0.81 million SLC | 10 |
| 2020s | 0.668 million SLC | 0.59 million SLC | 0.7414 million SLC | 4 |
Countries ranked near Bermuda
- 172 Marshall Islands 2.79 million SLC compare
- 173 Cayman Islands 1.88 million SLC compare
- 174 Andorra 1.56 million SLC compare
- 176 Turks and Caicos Islands 0.42 million SLC compare
- 177 Palau 0.38 million SLC compare
- 177 Tuvalu 0.38 million SLC compare
More environment data for Bermuda
- Other paper and paperboard — Import value, annual growth rate 12.19 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import 0.0001 t per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 250 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0252 1000 USD per person (2024)
- Paper and paperboard — Import quantity, annual growth rate -36 % change on previous year (2024)
- Other paper and paperboard, not elsewhere specified — Import value 105 1000 USD (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Other paper and paperboard — Import quantity, per capita 0.0061 t per person (2024)
- Other paper and paperboard — Import quantity 393 t (2024)
- Other paper and paperboard, not elsewhere specified — Import quantity 7 t (2024)
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 0.59 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 1.1 million SLC in 2004.
- What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Bermuda?
- The lowest recorded value was 0.59 million SLC in 2023.
- 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 26.0%. 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, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 24 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.