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

Ghana: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 111,340 million SLC in 2023. ◆ Volatile

Latest (2023)
111,340 million SLC
Change on year
up 6.4%
World rank
82nd
of 179 countries
All-time high
111,340 million SLC
in 2023
All-time low
907.58 million SLC
in 1995
Years of data
29
1995–2023

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

025.0k50.0k75.0k100.0k1995200920231995: 907.6 million SLC1996: 957.6 million SLC1997: 1.3k million SLC1998: 1.6k million SLC1999: 2.7k million SLC2000: 1.7k million SLC2001: 2.9k million SLC2002: 4.2k million SLC2003: 4.9k million SLC2004: 5.9k million SLC2005: 7.2k million SLC2006: 7.9k million SLC2007: 6.0k million SLC2008: 8.2k million SLC2009: 13.0k million SLC2010: 16.9k million SLC2011: 18.2k million SLC2012: 22.5k million SLC2013: 30.1k million SLC2014: 40.7k million SLC2015: 50.1k million SLC2016: 50.4k million SLC2017: 47.4k million SLC2018: 57.3k million SLC2019: 64.7k million SLC2020: 71.3k million SLC2021: 79.4k million SLC2022: 104.6k million SLC2023: 111.3k million SLC

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

Analysis

Ghana recorded 111,340 million SLC for net capital stocks (agriculture, forestry and fishing) — value in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 6.4% on the previous year and up 269.5% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Ghana peaked at 111,340 million SLC in 2023 and was at its lowest, 907.58 million SLC, in 1995.

Ghana ranks 82nd of 179 countries on this measure, in the middle of the range.

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

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Ghana, 1995 to 2023.
Year million SLC Change
1995 907.58 million SLC
1996 957.55 million SLC +5.5%
1997 1,350 million SLC +41.0%
1998 1,572 million SLC +16.4%
1999 2,697 million SLC +71.6%
2000 1,709 million SLC -36.6%
2001 2,888 million SLC +69.0%
2002 4,220 million SLC +46.1%
2003 4,924 million SLC +16.7%
2004 5,913 million SLC +20.1%
2005 7,215 million SLC +22.0%
2006 7,899 million SLC +9.5%
2007 5,991 million SLC -24.2%
2008 8,228 million SLC +37.3%
2009 12,978 million SLC +57.7%
2010 16,890 million SLC +30.1%
2011 18,247 million SLC +8.0%
2012 22,451 million SLC +23.0%
2013 30,133 million SLC +34.2%
2014 40,727 million SLC +35.2%
2015 50,087 million SLC +23.0%
2016 50,398 million SLC +0.6%
2017 47,404 million SLC -5.9%
2018 57,280 million SLC +20.8%
2019 64,704 million SLC +13.0%
2020 71,279 million SLC +10.2%
2021 79,391 million SLC +11.4%
2022 104,623 million SLC +31.8%
2023 111,340 million SLC +6.4%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1,497 million SLC 907.58 million SLC 2,697 million SLC 5
2000s 6,196 million SLC 1,709 million SLC 12,978 million SLC 10
2010s 39,832 million SLC 16,890 million SLC 64,704 million SLC 10
2020s 91,658 million SLC 71,279 million SLC 111,340 million SLC 4

Countries ranked near Ghana

  1. 79 Kyrgyzstan 127,193 million SLC compare
  2. 80 Jamaica 121,333 million SLC compare
  3. 81 Nicaragua 113,481 million SLC compare
  4. 83 Poland 109,014 million SLC compare
  5. 84 Guatemala 108,608 million SLC compare
  6. 85 Peru 103,756 million SLC compare

See the full ranking of 192 places →

More environment data for Ghana

All data for Ghana →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Ghana?
Net capital stocks (agriculture, forestry and fishing) — value in Ghana was 111,340 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 Ghana?
The highest recorded value was 111,340 million SLC in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Ghana?
The lowest recorded value was 907.58 million SLC in 1995.
How does Ghana rank for net capital stocks (agriculture, forestry and fishing) — value?
Ghana ranks 82nd out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Ghana?
Over the last ten years it is up 269.5%. The long-run trend across the full record is volatile.
Where does this Ghana 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 Ghana. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 11 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/ghana/

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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.