Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Malta

Malta: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ was 325.43 million USD in 2023. ▲ Rising

Latest (2023)
325.43 million USD
Change on year
up 1.5%
World rank
142nd
of 180 countries
All-time high
325.43 million USD
in 2023
All-time low
60.86 million USD
in 2000
Years of data
24
2000–2023

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

1002003002000201120232000: 60.9 million USD2001: 61.8 million USD2002: 65.4 million USD2003: 63.9 million USD2004: 72.5 million USD2005: 84 million USD2006: 102.1 million USD2007: 114.3 million USD2008: 122.7 million USD2009: 131.1 million USD2010: 156.7 million USD2011: 165.4 million USD2012: 167.3 million USD2013: 165.6 million USD2014: 164.8 million USD2015: 170.7 million USD2016: 167.6 million USD2017: 171.8 million USD2018: 174.7 million USD2019: 176 million USD2020: 180.1 million USD2021: 178.8 million USD2022: 320.5 million USD2023: 325.4 million USD

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

Analysis

Malta recorded 325.43 million USD for net capital stocks (agriculture, forestry and fishing) — value us$ in 2023. That is the highest value across all 24 years on record.

The figure is up 1.5% on the previous year and up 96.5% over ten years.

Over the whole period, net capital stocks (agriculture, forestry and fishing) — value us$ in Malta peaked at 325.43 million USD in 2023 and was at its lowest, 60.86 million USD, in 2000.

That places Malta 142nd out of 180 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 24 years of available data.

Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Malta, year by year

Annual values for Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Malta, 2000 to 2023.
Year million USD Change
2000 60.86 million USD
2001 61.78 million USD +1.5%
2002 65.45 million USD +5.9%
2003 63.89 million USD -2.4%
2004 72.53 million USD +13.5%
2005 84.01 million USD +15.8%
2006 102.06 million USD +21.5%
2007 114.3 million USD +12.0%
2008 122.74 million USD +7.4%
2009 131.11 million USD +6.8%
2010 156.66 million USD +19.5%
2011 165.38 million USD +5.6%
2012 167.31 million USD +1.2%
2013 165.59 million USD -1.0%
2014 164.85 million USD -0.4%
2015 170.7 million USD +3.5%
2016 167.6 million USD -1.8%
2017 171.76 million USD +2.5%
2018 174.7 million USD +1.7%
2019 176.03 million USD +0.8%
2020 180.15 million USD +2.3%
2021 178.82 million USD -0.7%
2022 320.5 million USD +79.2%
2023 325.43 million USD +1.5%

Averages by decade

DecadeAverage LowestHighest Years
2000s 87.87 million USD 60.86 million USD 131.11 million USD 10
2010s 168.06 million USD 156.66 million USD 176.03 million USD 10
2020s 251.22 million USD 178.82 million USD 325.43 million USD 4

Countries ranked near Malta

  1. 139 Fiji 402.22 million USD compare
  2. 140 Oman 372.1 million USD compare
  3. 141 Equatorial Guinea 345.49 million USD compare
  4. 143 Comoros 313.83 million USD compare
  5. 144 Brunei Darussalam 305.11 million USD compare
  6. 145 Gambia 291.35 million USD compare

See the full ranking of 226 places →

More environment data for Malta

All data for Malta →

Frequently asked questions

What is net capital stocks (agriculture, forestry and fishing) — value us$ in Malta?
Net capital stocks (agriculture, forestry and fishing) — value us$ in Malta was 325.43 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Malta?
The highest recorded value was 325.43 million USD in 2023.
What is the lowest net capital stocks (agriculture, forestry and fishing) — value us$ recorded in Malta?
The lowest recorded value was 60.86 million USD in 2000.
How does Malta rank for net capital stocks (agriculture, forestry and fishing) — value us$?
Malta ranks 142nd out of 180 countries with data for 2023.
Is net capital stocks (agriculture, forestry and fishing) — value us$ rising or falling in Malta?
Over the last ten years it is up 96.5%. The long-run trend across the full record is rising.
Where does this Malta 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 US$, 2015 prices. Statizoid updates them automatically from the source API.

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Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Malta. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 04 September 2026, from https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-us-2015-prices/malta/

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<a href="https://environment.statizoid.com/stat/net-capital-stocks-agriculture-forestry-and-fishing-value-us-2015-prices/malta/">Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$ in Malta</a> — Statizoid

About this data

Indicator
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
226 places, 6,479 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.