Value Added (Agriculture, Forestry and Fishing) — Value Standard in Luxembourg
Luxembourg: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 157.28 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Luxembourg, 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 Luxembourg stood at 157.28 million SLC.
Compared with earlier readings it is down 13.4% on the previous year and up 4.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Luxembourg peaked at 187.11 million SLC in 2022 and was at its lowest, 49 million SLC, in 1971.
Luxembourg ranks 173rd of 199 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Luxembourg, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 49.14 million SLC | — |
| 1971 | 49 million SLC | -0.3% |
| 1972 | 58.15 million SLC | +18.7% |
| 1973 | 68.49 million SLC | +17.8% |
| 1974 | 64.76 million SLC | -5.4% |
| 1975 | 66.58 million SLC | +2.8% |
| 1976 | 62.59 million SLC | -6.0% |
| 1977 | 68.84 million SLC | +10.0% |
| 1978 | 78.43 million SLC | +13.9% |
| 1979 | 81.35 million SLC | +3.7% |
| 1980 | 78.14 million SLC | -3.9% |
| 1981 | 87.87 million SLC | +12.4% |
| 1982 | 121.55 million SLC | +38.3% |
| 1983 | 111 million SLC | -8.7% |
| 1984 | 114.84 million SLC | +3.5% |
| 1985 | 127.19 million SLC | +10.7% |
| 1986 | 129.15 million SLC | +1.5% |
| 1987 | 123.97 million SLC | -4.0% |
| 1988 | 129 million SLC | +4.1% |
| 1989 | 144.27 million SLC | +11.8% |
| 1990 | 138.66 million SLC | -3.9% |
| 1991 | 112.18 million SLC | -19.1% |
| 1992 | 124.5 million SLC | +11.0% |
| 1993 | 130.99 million SLC | +5.2% |
| 1994 | 131.42 million SLC | +0.3% |
| 1995 | 142.43 million SLC | +8.4% |
| 1996 | 130.68 million SLC | -8.2% |
| 1997 | 123.44 million SLC | -5.5% |
| 1998 | 140.93 million SLC | +14.2% |
| 1999 | 146.62 million SLC | +4.0% |
| 2000 | 137.2 million SLC | -6.4% |
| 2001 | 133.8 million SLC | -2.5% |
| 2002 | 172.74 million SLC | +29.1% |
| 2003 | 121.76 million SLC | -29.5% |
| 2004 | 150.94 million SLC | +24.0% |
| 2005 | 107.95 million SLC | -28.5% |
| 2006 | 106.54 million SLC | -1.3% |
| 2007 | 136.72 million SLC | +28.3% |
| 2008 | 123.14 million SLC | -9.9% |
| 2009 | 91.12 million SLC | -26.0% |
| 2010 | 113.81 million SLC | +24.9% |
| 2011 | 111.3 million SLC | -2.2% |
| 2012 | 133.97 million SLC | +20.4% |
| 2013 | 128.58 million SLC | -4.0% |
| 2014 | 149.96 million SLC | +16.6% |
| 2015 | 121.13 million SLC | -19.2% |
| 2016 | 120.4 million SLC | -0.6% |
| 2017 | 136.45 million SLC | +13.3% |
| 2018 | 141.08 million SLC | +3.4% |
| 2019 | 134.46 million SLC | -4.7% |
| 2020 | 128.46 million SLC | -4.5% |
| 2021 | 137.96 million SLC | +7.4% |
| 2022 | 187.11 million SLC | +35.6% |
| 2023 | 181.63 million SLC | -2.9% |
| 2024 | 157.28 million SLC | -13.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 64.73 million SLC | 49 million SLC | 81.35 million SLC | 10 |
| 1980s | 116.7 million SLC | 78.14 million SLC | 144.27 million SLC | 10 |
| 1990s | 132.19 million SLC | 112.18 million SLC | 146.62 million SLC | 10 |
| 2000s | 128.19 million SLC | 91.12 million SLC | 172.74 million SLC | 10 |
| 2010s | 129.11 million SLC | 111.3 million SLC | 149.96 million SLC | 10 |
| 2020s | 158.49 million SLC | 128.46 million SLC | 187.11 million SLC | 5 |
Countries ranked near Luxembourg
More environment data for Luxembourg
- Historical exposure to drought — Land soil moisture anomaly -0.2585 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.1872 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Drought - Cities and FUAs — Land soil moisture anomaly -0.5 Percentage change (2025)
- Standard Deviation 0.601 °C (2025)
- Temperature change 2.18 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 74 % 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 0.2251 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 67.47 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Luxembourg?
- Value added (agriculture, forestry and fishing) — value standard in Luxembourg was 157.28 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 Luxembourg?
- The highest recorded value was 187.11 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Luxembourg?
- The lowest recorded value was 49 million SLC in 1971.
- How does Luxembourg rank for value added (agriculture, forestry and fishing) — value standard?
- Luxembourg ranks 173rd out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Luxembourg?
- Over the last ten years it is up 4.9%. The long-run trend across the full record is rising.
- Where does this Luxembourg 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
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).