Gross National Income — Value Standard Local Currency in Qatar
Qatar: Gross National Income — Value Standard Local Currency was 753,221 million SLC in 2023. ◆ Volatile
Gross National Income — Value Standard Local Currency in Qatar, 1970–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Qatar recorded 753,221 million SLC for gross national income — value standard local currency in 2023.
Compared with earlier readings it is down 9.0% on the previous year and up 9.9% over ten years.
Over the whole period, gross national income — value standard local currency in Qatar peaked at 827,812 million SLC in 2022 and was at its lowest, 2,447 million SLC, in 1970.
That places Qatar 100th out of 202 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Gross National Income — Value Standard Local Currency in Qatar, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 2,447 million SLC | — |
| 1971 | 3,108 million SLC | +27.0% |
| 1972 | 3,961 million SLC | +27.4% |
| 1973 | 5,214 million SLC | +31.6% |
| 1974 | 7,505 million SLC | +43.9% |
| 1975 | 9,282 million SLC | +23.7% |
| 1976 | 11,675 million SLC | +25.8% |
| 1977 | 12,173 million SLC | +4.3% |
| 1978 | 13,678 million SLC | +12.4% |
| 1979 | 19,497 million SLC | +42.5% |
| 1980 | 30,644 million SLC | +57.2% |
| 1981 | 33,518 million SLC | +9.4% |
| 1982 | 29,704 million SLC | -11.4% |
| 1983 | 25,280 million SLC | -14.9% |
| 1984 | 26,383 million SLC | +4.4% |
| 1985 | 24,467 million SLC | -7.3% |
| 1986 | 20,664 million SLC | -15.5% |
| 1987 | 21,567 million SLC | +4.4% |
| 1988 | 23,075 million SLC | +7.0% |
| 1989 | 24,337 million SLC | +5.5% |
| 1990 | 27,596 million SLC | +13.4% |
| 1991 | 25,784 million SLC | -6.6% |
| 1992 | 28,643 million SLC | +11.1% |
| 1993 | 26,809 million SLC | -6.4% |
| 1994 | 27,625 million SLC | +3.0% |
| 1995 | 30,485 million SLC | +10.4% |
| 1996 | 32,720 million SLC | +7.3% |
| 1997 | 40,892 million SLC | +25.0% |
| 1998 | 37,036 million SLC | -9.4% |
| 1999 | 44,678 million SLC | +20.6% |
| 2000 | 63,347 million SLC | +41.8% |
| 2001 | 61,278 million SLC | -3.3% |
| 2002 | 67,218 million SLC | +9.7% |
| 2003 | 84,147 million SLC | +25.2% |
| 2004 | 107,352 million SLC | +27.6% |
| 2005 | 141,286 million SLC | +31.6% |
| 2006 | 209,669 million SLC | +48.4% |
| 2007 | 274,722 million SLC | +31.0% |
| 2008 | 394,969 million SLC | +43.8% |
| 2009 | 321,724 million SLC | -18.5% |
| 2010 | 408,330 million SLC | +26.9% |
| 2011 | 562,396 million SLC | +37.7% |
| 2012 | 635,940 million SLC | +13.1% |
| 2013 | 685,645 million SLC | +7.8% |
| 2014 | 716,804 million SLC | +4.5% |
| 2015 | 575,755 million SLC | -19.7% |
| 2016 | 548,267 million SLC | -4.8% |
| 2017 | 584,874 million SLC | +6.7% |
| 2018 | 653,706 million SLC | +11.8% |
| 2019 | 625,940 million SLC | -4.2% |
| 2020 | 514,546 million SLC | -17.8% |
| 2021 | 644,168 million SLC | +25.2% |
| 2022 | 827,812 million SLC | +28.5% |
| 2023 | 753,221 million SLC | -9.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 8,854 million SLC | 2,447 million SLC | 19,497 million SLC | 10 |
| 1980s | 25,964 million SLC | 20,664 million SLC | 33,518 million SLC | 10 |
| 1990s | 32,227 million SLC | 25,784 million SLC | 44,678 million SLC | 10 |
| 2000s | 172,571 million SLC | 61,278 million SLC | 394,969 million SLC | 10 |
| 2010s | 599,766 million SLC | 408,330 million SLC | 716,804 million SLC | 10 |
| 2020s | 684,937 million SLC | 514,546 million SLC | 827,812 million SLC | 4 |
Countries ranked near Qatar
More economy & growth data for Qatar
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 0.9074 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 1.61 Percent per annum (2029)
- Gross value added at basic prices (GVA) (current US$), annual growth -0.3802 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current US$), per unit of GDP 0.9944 current US$ per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current US$), per capita 72,116 current US$ per person (2025)
- Gross value added at basic prices (GVA) (current LCU), annual growth -0.38 % change on previous year (2025)
- Gross value added at basic prices (GVA) (current LCU), per unit of GDP 3.62 current LCU per US$ of GDP (2025)
- Gross value added at basic prices (GVA) (current LCU), per capita 262,501 current LCU per person (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), annual 2.88 % change on previous year (2025)
- Gross value added at basic prices (GVA) (constant 2015 US$), per unit 0.8463 constant 2015 US$ per US$ of GDP (2025)
Frequently asked questions
- What is gross national income — value standard local currency in Qatar?
- Gross national income — value standard local currency in Qatar was 753,221 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross national income — value standard local currency recorded in Qatar?
- The highest recorded value was 827,812 million SLC in 2022.
- What is the lowest gross national income — value standard local currency recorded in Qatar?
- The lowest recorded value was 2,447 million SLC in 1970.
- How does Qatar rank for gross national income — value standard local currency?
- Qatar ranks 100th out of 202 countries with data for 2023.
- Is gross national income — value standard local currency rising or falling in Qatar?
- Over the last ten years it is up 9.9%. 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 Gross National Income — Value Standard Local Currency. Statizoid updates them automatically from the source API.
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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).