Spain vs United Kingdom of Great Britain and Northern Ireland: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value

Spain
99,731 million SLC
in 2020
United Kingdom of Great Britain and Northern Ireland
102,510 million SLC
in 2021
Spain rank
14th
United Kingdom of Great Britain and Northern Ireland rank
13th

Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value over time

  • Spain
  • United Kingdom of Great Britain and Northern Ireland
40.0k60.0k80.0k100.0k199520082021

How they compare

United Kingdom of Great Britain and Northern Ireland currently reports 102,510 million SLC against 99,731 million SLC in Spain, a difference of 2,779 million SLC.

The two have swapped places 1 time across 21 shared years of data; in 2000 it was United Kingdom of Great Britain and Northern Ireland ahead.

Spain ranks 14th and United Kingdom of Great Britain and Northern Ireland ranks 13th of 26 countries.

Across the 3 decades both report, Spain averaged higher in 1 and United Kingdom of Great Britain and Northern Ireland in 2.

Head to head by decade

Decade Spain United Kingdom of Great Britain and Northern Ireland Difference Ahead
2000s 52,540 million SLC 56,758 million SLC 4,218 million SLC United Kingdom of Great Britain and Northern Ireland
2010s 80,002 million SLC 83,345 million SLC 3,343 million SLC United Kingdom of Great Britain and Northern Ireland
2020s 99,731 million SLC 98,383 million SLC 1,348 million SLC Spain

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gross capital stocks (agriculture, forestry and fishing) — value, Spain or United Kingdom of Great Britain and Northern Ireland?
United Kingdom of Great Britain and Northern Ireland, at 102,510 million SLC against 99,731 million SLC in Spain as of 2021.
What is the difference in gross capital stocks (agriculture, forestry and fishing) — value between Spain and United Kingdom of Great Britain and Northern Ireland?
2,779 million SLC, with United Kingdom of Great Britain and Northern Ireland ahead.
How many years of comparable data are there for Spain and United Kingdom of Great Britain and Northern Ireland?
21 years are reported by both, from 2000 to 2020.
How do Spain and United Kingdom of Great Britain and Northern Ireland rank globally for gross capital stocks (agriculture, forestry and fishing) — value?
Spain ranks 14th and United Kingdom of Great Britain and Northern Ireland ranks 13th of 26 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Spain vs United Kingdom of Great Britain and Northern Ireland: Gross Capital Stocks (Agriculture, Forestry and Fishing) — Value. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://environment.statizoid.com/compare/gross-capital-stocks-agriculture-forestry-and-fishing-value-standard-local-currency/spain/united-kingdom-of-great-britain-and-northern-ireland/

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About this data

Indicator
Gross 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
26 places, 670 data points, 1995–2022
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.