Value Added (Agriculture, Forestry and Fishing) — Value Standard in Qatar
Qatar: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2,030 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Qatar, 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 Qatar stood at 2,030 million SLC. That is the highest value across all 55 years on record.
That represents a change of up 1.1% on the previous year and up 130.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Qatar peaked at 2,030 million SLC in 2024 and was at its lowest, 260.84 million SLC, in 2002.
That places Qatar 132nd out of 191 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Qatar, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 271.17 million SLC | — |
| 1971 | 297.72 million SLC | +9.8% |
| 1972 | 332.39 million SLC | +11.6% |
| 1973 | 366.67 million SLC | +10.3% |
| 1974 | 385.83 million SLC | +5.2% |
| 1975 | 419.31 million SLC | +8.7% |
| 1976 | 439.9 million SLC | +4.9% |
| 1977 | 401.96 million SLC | -8.6% |
| 1978 | 456.43 million SLC | +13.6% |
| 1979 | 378.58 million SLC | -17.1% |
| 1980 | 341.65 million SLC | -9.8% |
| 1981 | 338.19 million SLC | -1.0% |
| 1982 | 343.39 million SLC | +1.5% |
| 1983 | 362.47 million SLC | +5.6% |
| 1984 | 364.2 million SLC | +0.5% |
| 1985 | 376.34 million SLC | +3.3% |
| 1986 | 371.14 million SLC | -1.4% |
| 1987 | 395.42 million SLC | +6.5% |
| 1988 | 402.36 million SLC | +1.8% |
| 1989 | 357.26 million SLC | -11.2% |
| 1990 | 346.86 million SLC | -2.9% |
| 1991 | 385.01 million SLC | +11.0% |
| 1992 | 465.92 million SLC | +21.0% |
| 1993 | 627 million SLC | +34.6% |
| 1994 | 429.55 million SLC | -31.5% |
| 1995 | 426.08 million SLC | -0.8% |
| 1996 | 394.91 million SLC | -7.3% |
| 1997 | 384.71 million SLC | -2.6% |
| 1998 | 330.79 million SLC | -14.0% |
| 1999 | 384.71 million SLC | +16.3% |
| 2000 | 349.73 million SLC | -9.1% |
| 2001 | 349.73 million SLC | +0.0% |
| 2002 | 260.84 million SLC | -25.4% |
| 2003 | 289.99 million SLC | +11.2% |
| 2004 | 292.9 million SLC | +1.0% |
| 2005 | 347.19 million SLC | +18.5% |
| 2006 | 404.28 million SLC | +16.4% |
| 2007 | 444.93 million SLC | +10.1% |
| 2008 | 608.14 million SLC | +36.7% |
| 2009 | 504.21 million SLC | -17.1% |
| 2010 | 604.23 million SLC | +19.8% |
| 2011 | 636.73 million SLC | +5.4% |
| 2012 | 665.76 million SLC | +4.6% |
| 2013 | 704.85 million SLC | +5.9% |
| 2014 | 881.5 million SLC | +25.1% |
| 2015 | 949.74 million SLC | +7.7% |
| 2016 | 1,035 million SLC | +9.0% |
| 2017 | 1,249 million SLC | +20.6% |
| 2018 | 1,444 million SLC | +15.7% |
| 2019 | 1,686 million SLC | +16.7% |
| 2020 | 1,762 million SLC | +4.6% |
| 2021 | 1,771 million SLC | +0.5% |
| 2022 | 1,907 million SLC | +7.7% |
| 2023 | 2,009 million SLC | +5.4% |
| 2024 | 2,030 million SLC | +1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 375 million SLC | 271.17 million SLC | 456.43 million SLC | 10 |
| 1980s | 365.24 million SLC | 338.19 million SLC | 402.36 million SLC | 10 |
| 1990s | 417.55 million SLC | 330.79 million SLC | 627 million SLC | 10 |
| 2000s | 385.19 million SLC | 260.84 million SLC | 608.14 million SLC | 10 |
| 2010s | 985.68 million SLC | 604.23 million SLC | 1,686 million SLC | 10 |
| 2020s | 1,896 million SLC | 1,762 million SLC | 2,030 million SLC | 5 |
Countries ranked near Qatar
More environment data for Qatar
- Historical exposure to drought — Land soil moisture anomaly -61.67 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -51.99 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.396 °C (2025)
- Temperature change 1.77 °C (2025)
- Wood-based panels — Import quantity, annual growth rate 64.26 % change on previous year (2024)
- Wood-based panels — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Wood-based panels — Import quantity, per capita 0.0932 m3 per person (2024)
- Wood-based panels — Import value, annual growth rate 18.61 % change on previous year (2024)
- Wood-based panels — 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 Qatar?
- Value added (agriculture, forestry and fishing) — value standard in Qatar was 2,030 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 Qatar?
- The highest recorded value was 2,030 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Qatar?
- The lowest recorded value was 260.84 million SLC in 2002.
- How does Qatar rank for value added (agriculture, forestry and fishing) — value standard?
- Qatar ranks 132nd out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Qatar?
- Over the last ten years it is up 130.3%. The long-run trend across the full record is volatile.
- Where does this Qatar 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, 2015 prices. 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).