Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in North Macedonia

North Macedonia: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 3,466 million SLC in 2023. ▲ Rising

Latest (2023)
3,466 million SLC
Change on year
down 25.4%
World rank
90th
of 181 countries
All-time high
6,192 million SLC
in 2018
All-time low
2,677 million SLC
in 2000
Years of data
24
2000–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in North Macedonia, 2000–2023

02.0k4.0k6.0k2000201120232000: 2.7k million SLC2001: 2.7k million SLC2002: 2.7k million SLC2003: 3.1k million SLC2004: 3.1k million SLC2005: 2.9k million SLC2006: 2.9k million SLC2007: 2.8k million SLC2008: 3.2k million SLC2009: 3.1k million SLC2010: 3.4k million SLC2011: 3.5k million SLC2012: 3.7k million SLC2013: 3.6k million SLC2014: 3.9k million SLC2015: 4.1k million SLC2016: 4.6k million SLC2017: 4.8k million SLC2018: 6.2k million SLC2019: 5.8k million SLC2020: 5.4k million SLC2021: 4.5k million SLC2022: 4.6k million SLC2023: 3.5k million SLC

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

Analysis

The most recent figure for consumption of fixed capital (agriculture, forestry and fishing) in North Macedonia is 3,466 million SLC, measured in 2023.

That represents a change of down 25.4% on the previous year and down 4.8% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in North Macedonia peaked at 6,192 million SLC in 2018 and was at its lowest, 2,677 million SLC, in 2000.

North Macedonia ranks 90th of 181 countries on this measure, in the middle of the range.

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

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in North Macedonia, year by year

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices in North Macedonia, 2000 to 2023.
Year million SLC Change
2000 2,677 million SLC
2001 2,685 million SLC +0.3%
2002 2,733 million SLC +1.8%
2003 3,150 million SLC +15.3%
2004 3,122 million SLC -0.9%
2005 2,852 million SLC -8.6%
2006 2,888 million SLC +1.3%
2007 2,827 million SLC -2.1%
2008 3,177 million SLC +12.4%
2009 3,118 million SLC -1.9%
2010 3,358 million SLC +7.7%
2011 3,516 million SLC +4.7%
2012 3,721 million SLC +5.8%
2013 3,639 million SLC -2.2%
2014 3,851 million SLC +5.8%
2015 4,099 million SLC +6.4%
2016 4,573 million SLC +11.6%
2017 4,774 million SLC +4.4%
2018 6,192 million SLC +29.7%
2019 5,829 million SLC -5.9%
2020 5,398 million SLC -7.4%
2021 4,474 million SLC -17.1%
2022 4,645 million SLC +3.8%
2023 3,466 million SLC -25.4%

Averages by decade

DecadeAverage LowestHighest Years
2000s 2,923 million SLC 2,677 million SLC 3,177 million SLC 10
2010s 4,355 million SLC 3,358 million SLC 6,192 million SLC 10
2020s 4,496 million SLC 3,466 million SLC 5,398 million SLC 4

Countries ranked near North Macedonia

  1. 87 Mauritania 3,702 million SLC compare
  2. 88 Vanuatu 3,650 million SLC compare
  3. 89 Sudan 3,588 million SLC compare
  4. 91 Peru 3,366 million SLC compare
  5. 92 United Kingdom of Great Britain and Northern Ireland 3,163 million SLC compare
  6. 93 Belarus 2,974 million SLC compare

See the full ranking of 194 places →

More environment data for North Macedonia

All data for North Macedonia →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in North Macedonia?
Consumption of fixed capital (agriculture, forestry and fishing) in North Macedonia was 3,466 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest consumption of fixed capital (agriculture, forestry and fishing) recorded in North Macedonia?
The highest recorded value was 6,192 million SLC in 2018.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in North Macedonia?
The lowest recorded value was 2,677 million SLC in 2000.
How does North Macedonia rank for consumption of fixed capital (agriculture, forestry and fishing)?
North Macedonia ranks 90th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in North Macedonia?
Over the last ten years it is down 4.8%. The long-run trend across the full record is rising.
Where does this North Macedonia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in North Macedonia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 10 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local-2/north-macedonia/

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About this data

Indicator
Consumption of Fixed Capital (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
194 places, 5,511 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.