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

Nepal: Consumption of Fixed Capital (Agriculture, Forestry and Fishing) was 47,124 million SLC in 2023. ◆ Volatile

Latest (2023)
47,124 million SLC
Change on year
up 13.8%
World rank
50th
of 181 countries
All-time high
47,124 million SLC
in 2023
All-time low
2,774 million SLC
in 1995
Years of data
29
1995–2023

Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Nepal, 1995–2023

010.0k20.0k30.0k40.0k50.0k1995200920231995: 2.8k million SLC1996: 3.1k million SLC1997: 3.4k million SLC1998: 3.6k million SLC1999: 4.1k million SLC2000: 4.4k million SLC2001: 4.3k million SLC2002: 4.8k million SLC2003: 5.2k million SLC2004: 5.9k million SLC2005: 6.5k million SLC2006: 7.0k million SLC2007: 7.8k million SLC2008: 9.2k million SLC2009: 11.2k million SLC2010: 12.7k million SLC2011: 14.9k million SLC2012: 17.5k million SLC2013: 19.4k million SLC2014: 21.3k million SLC2015: 23.1k million SLC2016: 25.6k million SLC2017: 27.5k million SLC2018: 30.9k million SLC2019: 34.0k million SLC2020: 35.6k million SLC2021: 36.9k million SLC2022: 41.4k million SLC2023: 47.1k 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 Nepal is 47,124 million SLC, measured in 2023. That is the highest value across all 29 years on record.

Compared with earlier readings it is up 13.8% on the previous year and up 143.1% over ten years.

Over the whole period, consumption of fixed capital (agriculture, forestry and fishing) in Nepal peaked at 47,124 million SLC in 2023 and was at its lowest, 2,774 million SLC, in 1995.

Nepal ranks 50th of 181 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.

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

Annual values for Consumption of Fixed Capital (Agriculture, Forestry and Fishing) — Value Standard Local Currency in Nepal, 1995 to 2023.
Year million SLC Change
1995 2,774 million SLC
1996 3,066 million SLC +10.5%
1997 3,376 million SLC +10.1%
1998 3,620 million SLC +7.2%
1999 4,062 million SLC +12.2%
2000 4,400 million SLC +8.3%
2001 4,332 million SLC -1.6%
2002 4,790 million SLC +10.6%
2003 5,240 million SLC +9.4%
2004 5,866 million SLC +12.0%
2005 6,516 million SLC +11.1%
2006 7,012 million SLC +7.6%
2007 7,812 million SLC +11.4%
2008 9,229 million SLC +18.1%
2009 11,238 million SLC +21.8%
2010 12,663 million SLC +12.7%
2011 14,925 million SLC +17.9%
2012 17,491 million SLC +17.2%
2013 19,382 million SLC +10.8%
2014 21,252 million SLC +9.6%
2015 23,115 million SLC +8.8%
2016 25,597 million SLC +10.7%
2017 27,471 million SLC +7.3%
2018 30,853 million SLC +12.3%
2019 33,988 million SLC +10.2%
2020 35,637 million SLC +4.9%
2021 36,900 million SLC +3.5%
2022 41,421 million SLC +12.3%
2023 47,124 million SLC +13.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 3,380 million SLC 2,774 million SLC 4,062 million SLC 5
2000s 6,644 million SLC 4,332 million SLC 11,238 million SLC 10
2010s 22,674 million SLC 12,663 million SLC 33,988 million SLC 10
2020s 40,271 million SLC 35,637 million SLC 47,124 million SLC 4

Countries ranked near Nepal

  1. 47 Niger 67,545 million SLC compare
  2. 48 Serbia 66,032 million SLC compare
  3. 49 Ukraine 52,483 million SLC compare
  4. 51 Czechia 45,479 million SLC compare
  5. 52 Mexico 44,087 million SLC compare
  6. 53 Albania 38,589 million SLC compare

See the full ranking of 194 places →

More environment data for Nepal

All data for Nepal →

Frequently asked questions

What is consumption of fixed capital (agriculture, forestry and fishing) in Nepal?
Consumption of fixed capital (agriculture, forestry and fishing) in Nepal was 47,124 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 Nepal?
The highest recorded value was 47,124 million SLC in 2023.
What is the lowest consumption of fixed capital (agriculture, forestry and fishing) recorded in Nepal?
The lowest recorded value was 2,774 million SLC in 1995.
How does Nepal rank for consumption of fixed capital (agriculture, forestry and fishing)?
Nepal ranks 50th out of 181 countries with data for 2023.
Is consumption of fixed capital (agriculture, forestry and fishing) rising or falling in Nepal?
Over the last ten years it is up 143.1%. The long-run trend across the full record is volatile.
Where does this Nepal 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. Statizoid updates them automatically from the source API.

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Consumption of Fixed Capital (Agriculture, Forestry and Fishing) in Nepal. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 September 2026, from https://environment.statizoid.com/stat/consumption-of-fixed-capital-agriculture-forestry-and-fishing-value-standard-local/nepal/

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About this data

Indicator
Consumption of Fixed Capital (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
194 places, 5,516 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.