Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ireland
Ireland: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 5,617 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ireland, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Ireland stood at 5,617 million SLC.
That represents a change of up 25.8% on the previous year and up 130.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ireland peaked at 5,724 million SLC in 2022 and was at its lowest, 316.5 million SLC, in 1970.
That places Ireland 133rd out of 199 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ireland, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 316.5 million SLC | — |
| 1971 | 350.61 million SLC | +10.8% |
| 1972 | 474.27 million SLC | +35.3% |
| 1973 | 592.64 million SLC | +25.0% |
| 1974 | 568.72 million SLC | -4.0% |
| 1975 | 800.69 million SLC | +40.8% |
| 1976 | 958.6 million SLC | +19.7% |
| 1977 | 1,302 million SLC | +35.9% |
| 1978 | 1,474 million SLC | +13.2% |
| 1979 | 1,434 million SLC | -2.7% |
| 1980 | 1,358 million SLC | -5.3% |
| 1981 | 1,518 million SLC | +11.7% |
| 1982 | 1,806 million SLC | +19.0% |
| 1983 | 2,010 million SLC | +11.3% |
| 1984 | 2,295 million SLC | +14.1% |
| 1985 | 2,117 million SLC | -7.8% |
| 1986 | 2,082 million SLC | -1.7% |
| 1987 | 2,451 million SLC | +17.8% |
| 1988 | 2,724 million SLC | +11.1% |
| 1989 | 2,941 million SLC | +8.0% |
| 1990 | 2,684 million SLC | -8.7% |
| 1991 | 2,573 million SLC | -4.2% |
| 1992 | 2,880 million SLC | +11.9% |
| 1993 | 2,962 million SLC | +2.8% |
| 1994 | 3,013 million SLC | +1.7% |
| 1995 | 3,056 million SLC | +1.4% |
| 1996 | 2,821 million SLC | -7.7% |
| 1997 | 2,711 million SLC | -3.9% |
| 1998 | 2,795 million SLC | +3.1% |
| 1999 | 2,387 million SLC | -14.6% |
| 2000 | 2,718 million SLC | +13.9% |
| 2001 | 2,434 million SLC | -10.4% |
| 2002 | 2,360 million SLC | -3.1% |
| 2003 | 2,155 million SLC | -8.7% |
| 2004 | 2,460 million SLC | +14.2% |
| 2005 | 1,760 million SLC | -28.4% |
| 2006 | 1,703 million SLC | -3.2% |
| 2007 | 2,056 million SLC | +20.7% |
| 2008 | 1,592 million SLC | -22.6% |
| 2009 | 945.85 million SLC | -40.6% |
| 2010 | 1,598 million SLC | +69.0% |
| 2011 | 2,086 million SLC | +30.5% |
| 2012 | 1,742 million SLC | -16.5% |
| 2013 | 1,957 million SLC | +12.3% |
| 2014 | 2,442 million SLC | +24.8% |
| 2015 | 2,365 million SLC | -3.1% |
| 2016 | 2,555 million SLC | +8.0% |
| 2017 | 3,453 million SLC | +35.2% |
| 2018 | 2,781 million SLC | -19.5% |
| 2019 | 3,212 million SLC | +15.5% |
| 2020 | 3,591 million SLC | +11.8% |
| 2021 | 4,345 million SLC | +21.0% |
| 2022 | 5,724 million SLC | +31.7% |
| 2023 | 4,466 million SLC | -22.0% |
| 2024 | 5,617 million SLC | +25.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 827.22 million SLC | 316.5 million SLC | 1,474 million SLC | 10 |
| 1980s | 2,130 million SLC | 1,358 million SLC | 2,941 million SLC | 10 |
| 1990s | 2,788 million SLC | 2,387 million SLC | 3,056 million SLC | 10 |
| 2000s | 2,018 million SLC | 945.85 million SLC | 2,718 million SLC | 10 |
| 2010s | 2,419 million SLC | 1,598 million SLC | 3,453 million SLC | 10 |
| 2020s | 4,748 million SLC | 3,591 million SLC | 5,724 million SLC | 5 |
Countries ranked near Ireland
More environment data for Ireland
- Historical exposure to drought — Land soil moisture anomaly 2.51 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 2.17 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.412 °C (2025)
- Temperature change 1.89 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 13.58 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0688 t per person (2024)
- Paper and paperboard — Import value, annual growth rate -4.57 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Ireland?
- Value added (agriculture, forestry and fishing) — value standard in Ireland was 5,617 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Ireland?
- The highest recorded value was 5,724 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ireland?
- The lowest recorded value was 316.5 million SLC in 1970.
- How does Ireland rank for value added (agriculture, forestry and fishing) — value standard?
- Ireland ranks 133rd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Ireland?
- Over the last ten years it is up 130.0%. The long-run trend across the full record is rising.
- Where does this Ireland data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).