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

Zimbabwe: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 4,085 million SLC in 2023. ▬ Flat

Latest (2023)
4,085 million SLC
Change on year
down 3.1%
World rank
127th
of 179 countries
All-time high
7,123 million SLC
in 2006
All-time low
4,085 million SLC
in 2023
Years of data
29
1995–2023

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

02.0k4.0k6.0k8.0k1995200920231995: 4.4k million SLC1996: 4.4k million SLC1997: 4.4k million SLC1998: 4.6k million SLC1999: 5.0k million SLC2000: 4.8k million SLC2001: 4.7k million SLC2002: 4.7k million SLC2003: 4.6k million SLC2004: 4.7k million SLC2005: 7.0k million SLC2006: 7.1k million SLC2007: 7.0k million SLC2008: 6.8k million SLC2009: 6.5k million SLC2010: 6.2k million SLC2011: 5.9k million SLC2012: 5.6k million SLC2013: 5.5k million SLC2014: 5.3k million SLC2015: 5.2k million SLC2016: 5.1k million SLC2017: 4.9k million SLC2018: 4.7k million SLC2019: 4.6k million SLC2020: 4.5k million SLC2021: 4.3k million SLC2022: 4.2k million SLC2023: 4.1k 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 Zimbabwe is 4,085 million SLC, measured in 2023. That is the lowest value across all 29 years on record.

Compared with earlier readings it is down 3.1% on the previous year and down 25.5% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Zimbabwe peaked at 7,123 million SLC in 2006 and was at its lowest, 4,085 million SLC, in 2023.

That places Zimbabwe 127th out of 179 countries with data for 2023, putting it in the middle of the range.

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

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in Zimbabwe, 1995 to 2023.
Year million SLC Change
1995 4,383 million SLC
1996 4,439 million SLC +1.3%
1997 4,380 million SLC -1.3%
1998 4,644 million SLC +6.0%
1999 4,987 million SLC +7.4%
2000 4,833 million SLC -3.1%
2001 4,743 million SLC -1.9%
2002 4,679 million SLC -1.4%
2003 4,613 million SLC -1.4%
2004 4,739 million SLC +2.7%
2005 6,962 million SLC +46.9%
2006 7,123 million SLC +2.3%
2007 6,976 million SLC -2.1%
2008 6,787 million SLC -2.7%
2009 6,462 million SLC -4.8%
2010 6,163 million SLC -4.6%
2011 5,889 million SLC -4.5%
2012 5,646 million SLC -4.1%
2013 5,482 million SLC -2.9%
2014 5,335 million SLC -2.7%
2015 5,199 million SLC -2.6%
2016 5,080 million SLC -2.3%
2017 4,895 million SLC -3.6%
2018 4,711 million SLC -3.8%
2019 4,615 million SLC -2.0%
2020 4,484 million SLC -2.8%
2021 4,344 million SLC -3.1%
2022 4,215 million SLC -3.0%
2023 4,085 million SLC -3.1%

Averages by decade

DecadeAverage LowestHighest Years
1990s 4,567 million SLC 4,380 million SLC 4,987 million SLC 5
2000s 5,792 million SLC 4,613 million SLC 7,123 million SLC 10
2010s 5,301 million SLC 4,615 million SLC 6,163 million SLC 10
2020s 4,282 million SLC 4,085 million SLC 4,484 million SLC 4

Countries ranked near Zimbabwe

  1. 124 Ecuador 6,188 million SLC compare
  2. 125 Djibouti 5,270 million SLC compare
  3. 126 Jordan 4,151 million SLC compare
  4. 128 Solomon Islands 3,995 million SLC compare
  5. 129 Eritrea 3,933 million SLC compare
  6. 130 Cuba 3,560 million SLC compare

See the full ranking of 192 places →

More environment data for Zimbabwe

All data for Zimbabwe →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value in Zimbabwe?
Net capital stocks (agriculture, forestry and fishing) — value in Zimbabwe was 4,085 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 Zimbabwe?
The highest recorded value was 7,123 million SLC in 2006.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Zimbabwe?
The lowest recorded value was 4,085 million SLC in 2023.
How does Zimbabwe rank for net capital stocks (agriculture, forestry and fishing) — value?
Zimbabwe ranks 127th out of 179 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Zimbabwe?
Over the last ten years it is down 25.5%. The long-run trend across the full record is flat.
Where does this Zimbabwe 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 Zimbabwe. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 10 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency-2015/zimbabwe/

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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.