Value Added (Agriculture, Forestry and Fishing) — Value Standard in Qatar
Qatar: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 2,292 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
Qatar recorded 2,292 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
That represents a change of up 1.0% on the previous year and up 160.6% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Qatar peaked at 2,292 million SLC in 2024 and was at its lowest, 18.43 million SLC, in 1970.
That places Qatar 145th out of 199 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 | 18.43 million SLC | — |
| 1971 | 24.29 million SLC | +31.8% |
| 1972 | 32.55 million SLC | +34.0% |
| 1973 | 43.09 million SLC | +32.4% |
| 1974 | 54.43 million SLC | +26.3% |
| 1975 | 71 million SLC | +30.4% |
| 1976 | 90 million SLC | +26.8% |
| 1977 | 97 million SLC | +7.8% |
| 1978 | 111 million SLC | +14.4% |
| 1979 | 122 million SLC | +9.9% |
| 1980 | 150 million SLC | +23.0% |
| 1981 | 172 million SLC | +14.7% |
| 1982 | 190 million SLC | +10.5% |
| 1983 | 195 million SLC | +2.6% |
| 1984 | 206 million SLC | +5.6% |
| 1985 | 213 million SLC | +3.4% |
| 1986 | 237 million SLC | +11.3% |
| 1987 | 237 million SLC | +0.0% |
| 1988 | 232 million SLC | -2.1% |
| 1989 | 214 million SLC | -7.8% |
| 1990 | 210 million SLC | -1.9% |
| 1991 | 238 million SLC | +13.3% |
| 1992 | 269 million SLC | +13.0% |
| 1993 | 281 million SLC | +4.5% |
| 1994 | 283 million SLC | +0.7% |
| 1995 | 291 million SLC | +2.8% |
| 1996 | 290 million SLC | -0.3% |
| 1997 | 290 million SLC | +0.0% |
| 1998 | 256 million SLC | -11.7% |
| 1999 | 263 million SLC | +2.7% |
| 2000 | 241 million SLC | -8.4% |
| 2001 | 240 million SLC | -0.4% |
| 2002 | 181 million SLC | -24.6% |
| 2003 | 201 million SLC | +11.0% |
| 2004 | 210 million SLC | +4.5% |
| 2005 | 216 million SLC | +2.9% |
| 2006 | 270 million SLC | +25.0% |
| 2007 | 319 million SLC | +18.1% |
| 2008 | 523 million SLC | +63.9% |
| 2009 | 439 million SLC | -16.1% |
| 2010 | 537 million SLC | +22.3% |
| 2011 | 589.98 million SLC | +9.9% |
| 2012 | 640.61 million SLC | +8.6% |
| 2013 | 694.6 million SLC | +8.4% |
| 2014 | 879.53 million SLC | +26.6% |
| 2015 | 949.74 million SLC | +8.0% |
| 2016 | 1,016 million SLC | +6.9% |
| 2017 | 1,259 million SLC | +24.0% |
| 2018 | 1,457 million SLC | +15.7% |
| 2019 | 1,669 million SLC | +14.6% |
| 2020 | 1,781 million SLC | +6.7% |
| 2021 | 1,951 million SLC | +9.6% |
| 2022 | 2,201 million SLC | +12.8% |
| 2023 | 2,270 million SLC | +3.1% |
| 2024 | 2,292 million SLC | +1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 66.38 million SLC | 18.43 million SLC | 122 million SLC | 10 |
| 1980s | 204.6 million SLC | 150 million SLC | 237 million SLC | 10 |
| 1990s | 267.1 million SLC | 210 million SLC | 291 million SLC | 10 |
| 2000s | 284 million SLC | 181 million SLC | 523 million SLC | 10 |
| 2010s | 969.2 million SLC | 537 million SLC | 1,669 million SLC | 10 |
| 2020s | 2,099 million SLC | 1,781 million SLC | 2,292 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)
- Other paper and paperboard — Import quantity, annual growth rate 41.62 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0142 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate 10.15 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0173 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 435.29 % change on previous year (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 2,292 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 2,292 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Qatar?
- The lowest recorded value was 18.43 million SLC in 1970.
- How does Qatar rank for value added (agriculture, forestry and fishing) — value standard?
- Qatar ranks 145th out of 199 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 160.6%. 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. 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).