Agriculture, forestry, fishing (central government expenditure) in Spain
Spain: Agriculture, forestry, fishing (central government expenditure) was 2,115 million SLC in 2023. ▼ Falling
Agriculture, forestry, fishing (central government expenditure) in Spain, 2001–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for agriculture, forestry, fishing (central government expenditure) in Spain is 2,115 million SLC, measured in 2023. That is the highest value across all 23 years on record.
That represents a change of up 98.4% on the previous year and up 207.0% over ten years.
Over the whole period, agriculture, forestry, fishing (central government expenditure) in Spain peaked at 2,115 million SLC in 2023 and was at its lowest, 547 million SLC, in 2017.
That places Spain 95th out of 166 countries with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently falling across the 23 years of available data.
Agriculture, forestry, fishing (central government expenditure) in Spain, year by year
| Year | million SLC | Change |
|---|---|---|
| 2001 | 1,035 million SLC | — |
| 2002 | 963 million SLC | -7.0% |
| 2003 | 1,044 million SLC | +8.4% |
| 2004 | 1,200 million SLC | +14.9% |
| 2005 | 1,154 million SLC | -3.8% |
| 2006 | 1,324 million SLC | +14.7% |
| 2007 | 1,690 million SLC | +27.6% |
| 2008 | 1,856 million SLC | +9.8% |
| 2009 | 987 million SLC | -46.8% |
| 2010 | 890 million SLC | -9.8% |
| 2011 | 996 million SLC | +11.9% |
| 2012 | 875 million SLC | -12.1% |
| 2013 | 689 million SLC | -21.3% |
| 2014 | 611 million SLC | -11.3% |
| 2015 | 688 million SLC | +12.6% |
| 2016 | 595 million SLC | -13.5% |
| 2017 | 547 million SLC | -8.1% |
| 2018 | 639 million SLC | +16.8% |
| 2019 | 702 million SLC | +9.9% |
| 2020 | 744 million SLC | +6.0% |
| 2021 | 807 million SLC | +8.5% |
| 2022 | 1,066 million SLC | +32.1% |
| 2023 | 2,115 million SLC | +98.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1,250 million SLC | 963 million SLC | 1,856 million SLC | 9 |
| 2010s | 723.2 million SLC | 547 million SLC | 996 million SLC | 10 |
| 2020s | 1,183 million SLC | 744 million SLC | 2,115 million SLC | 4 |
Countries ranked near Spain
More environment data for Spain
- Historical exposure to drought — Land soil moisture anomaly -1.67 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.4 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.402 °C (2025)
- Temperature change 2.3 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0038 m3 per person (2024)
- Sawnwood — Export value, annual growth rate -9.75 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0017 1000 USD per person (2024)
Frequently asked questions
- What is agriculture, forestry, fishing (central government expenditure) in Spain?
- Agriculture, forestry, fishing (central government expenditure) in Spain was 2,115 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest agriculture, forestry, fishing (central government expenditure) recorded in Spain?
- The highest recorded value was 2,115 million SLC in 2023.
- What is the lowest agriculture, forestry, fishing (central government expenditure) recorded in Spain?
- The lowest recorded value was 547 million SLC in 2017.
- How does Spain rank for agriculture, forestry, fishing (central government expenditure)?
- Spain ranks 95th out of 166 countries with data for 2023.
- Is agriculture, forestry, fishing (central government expenditure) rising or falling in Spain?
- Over the last ten years it is up 207.0%. The long-run trend across the full record is falling.
- Where does this Spain data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Agriculture, forestry, fishing (central government expenditure) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 23 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Statistics Division of FAO collects annually data on Government Expenditure on Agriculture through a questionnaire, which was developed in partnership with the International Monetary Fund (IMF). The IMF is the responsible institution for the Government Finance Statistics (GFS) methodology and annually collects GFS data, including Expenditure by Functions of Government (COFOG). The Classification of the Functions of Government (COFOG) is an international classification developed by Organisation for Economic Co-operation and Development (OECD) and published by the United Nations Statistical Division (UNSD), with the aim of categorise governments' functions according to their purposes. The FAO questionnaire aligns with Table 7 of the IMF GFS questionnaire, replicates the relevant aggregates and drills down to request additional detail related to Agriculture. The FAO dataset consists of a time series, from 2001 onwards, of Total Government Expenditure and expenditure in: Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and Environmental Protection. In addition, expenditure in each detailed function are further disaggregated into Recurrent and Capital expenditure. Additional indicators include the Agriculture Share of Government Expenditure, and the Agriculture Orientation Index (ratio between the Agriculture Share of Government Expenditure and the Agriculture Value Added as Share of GDP). Data are reported for the highest level of government available (Consolidated general government, consolidated central government or budgetary central government) and are available for about 100 countries on a regular basis.