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

Grenada: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 230.25 million SLC in 2023. ▲ Rising

Latest (2023)
230.25 million SLC
Change on year
up 3.5%
World rank
159th
of 179 countries
All-time high
230.25 million SLC
in 2023
All-time low
112.86 million SLC
in 1995
Years of data
29
1995–2023

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Grenada, 1995–2023

0501001502002501995200920231995: 112.9 million SLC1996: 126.7 million SLC1997: 130.4 million SLC1998: 129.8 million SLC1999: 134.4 million SLC2000: 175.3 million SLC2001: 176.1 million SLC2002: 174.2 million SLC2003: 175.2 million SLC2004: 179.2 million SLC2005: 188 million SLC2006: 198.3 million SLC2007: 204.1 million SLC2008: 219.4 million SLC2009: 215.2 million SLC2010: 211.6 million SLC2011: 206.9 million SLC2012: 208 million SLC2013: 208.8 million SLC2014: 201.8 million SLC2015: 197.1 million SLC2016: 194.2 million SLC2017: 195.5 million SLC2018: 194.1 million SLC2019: 200.1 million SLC2020: 204.4 million SLC2021: 212.3 million SLC2022: 222.5 million SLC2023: 230.2 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 Grenada is 230.25 million SLC, measured in 2023. That is the highest value across all 29 years on record.

The figure is up 3.5% on the previous year and up 10.3% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Grenada peaked at 230.25 million SLC in 2023 and was at its lowest, 112.86 million SLC, in 1995.

Grenada ranks 159th of 179 countries on this measure, in the bottom quarter.

The long-run direction has been consistently rising across the 29 years of available data.

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Grenada, 1995 to 2023.
Year million SLC Change
1995 112.86 million SLC
1996 126.74 million SLC +12.3%
1997 130.37 million SLC +2.9%
1998 129.81 million SLC -0.4%
1999 134.4 million SLC +3.5%
2000 175.25 million SLC +30.4%
2001 176.06 million SLC +0.5%
2002 174.18 million SLC -1.1%
2003 175.25 million SLC +0.6%
2004 179.25 million SLC +2.3%
2005 188.04 million SLC +4.9%
2006 198.31 million SLC +5.5%
2007 204.09 million SLC +2.9%
2008 219.44 million SLC +7.5%
2009 215.25 million SLC -1.9%
2010 211.61 million SLC -1.7%
2011 206.9 million SLC -2.2%
2012 207.97 million SLC +0.5%
2013 208.84 million SLC +0.4%
2014 201.8 million SLC -3.4%
2015 197.1 million SLC -2.3%
2016 194.24 million SLC -1.5%
2017 195.53 million SLC +0.7%
2018 194.13 million SLC -0.7%
2019 200.11 million SLC +3.1%
2020 204.36 million SLC +2.1%
2021 212.28 million SLC +3.9%
2022 222.52 million SLC +4.8%
2023 230.25 million SLC +3.5%

Averages by decade

DecadeAverage LowestHighest Years
1990s 126.84 million SLC 112.86 million SLC 134.4 million SLC 5
2000s 190.51 million SLC 174.18 million SLC 219.44 million SLC 10
2010s 201.82 million SLC 194.13 million SLC 211.61 million SLC 10
2020s 217.35 million SLC 204.36 million SLC 230.25 million SLC 4

Countries ranked near Grenada

  1. 156 Belize 347.3 million SLC compare
  2. 157 Malta 345.19 million SLC compare
  3. 158 Kuwait 258.87 million SLC compare
  4. 160 Bahamas 227.11 million SLC compare
  5. 161 Dominica 204.09 million SLC compare
  6. 162 Barbados 159.65 million SLC compare

See the full ranking of 192 places →

More environment data for Grenada

All data for Grenada →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Grenada?
Net capital stocks (agriculture, forestry and fishing) — value in Grenada was 230.25 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 Grenada?
The highest recorded value was 230.25 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Grenada?
The lowest recorded value was 112.86 million SLC in 1995.
How does Grenada rank for net capital stocks (agriculture, forestry and fishing) — value?
Grenada ranks 159th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Grenada?
Over the last ten years it is up 10.3%. The long-run trend across the full record is rising.
Where does this Grenada 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. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Grenada. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/grenada/

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About this data

Indicator
Net Capital Stocks (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
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.