Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Qatar
Qatar: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 348,894 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Qatar, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Qatar recorded 348,894 million SLC for gross fixed capital formation — value standard local currency, 2015 in 2024. That is the highest value across all 55 years on record.
That represents a change of up 3.1% on the previous year and up 62.9% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Qatar peaked at 348,894 million SLC in 2024 and was at its lowest, 4,072 million SLC, in 1987.
That places Qatar 78th out of 194 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.
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Qatar, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 5,006 million SLC | — |
| 1971 | 5,548 million SLC | +10.8% |
| 1972 | 6,196 million SLC | +11.7% |
| 1973 | 6,641 million SLC | +7.2% |
| 1974 | 7,389 million SLC | +11.3% |
| 1975 | 7,827 million SLC | +5.9% |
| 1976 | 7,257 million SLC | -7.3% |
| 1977 | 8,985 million SLC | +23.8% |
| 1978 | 8,567 million SLC | -4.7% |
| 1979 | 7,299 million SLC | -14.8% |
| 1980 | 6,373 million SLC | -12.7% |
| 1981 | 7,094 million SLC | +11.3% |
| 1982 | 8,862 million SLC | +24.9% |
| 1983 | 5,543 million SLC | -37.4% |
| 1984 | 5,256 million SLC | -5.2% |
| 1985 | 5,503 million SLC | +4.7% |
| 1986 | 4,259 million SLC | -22.6% |
| 1987 | 4,072 million SLC | -4.4% |
| 1988 | 4,875 million SLC | +19.7% |
| 1989 | 5,401 million SLC | +10.8% |
| 1990 | 6,383 million SLC | +18.2% |
| 1991 | 6,324 million SLC | -0.9% |
| 1992 | 7,569 million SLC | +19.7% |
| 1993 | 6,218 million SLC | -17.9% |
| 1994 | 7,784 million SLC | +25.2% |
| 1995 | 12,288 million SLC | +57.9% |
| 1996 | 14,531 million SLC | +18.3% |
| 1997 | 18,811 million SLC | +29.5% |
| 1998 | 15,580 million SLC | -17.2% |
| 1999 | 10,941 million SLC | -29.8% |
| 2000 | 16,980 million SLC | +55.2% |
| 2001 | 25,056 million SLC | +47.6% |
| 2002 | 25,080 million SLC | +0.1% |
| 2003 | 43,585 million SLC | +73.8% |
| 2004 | 44,317 million SLC | +1.7% |
| 2005 | 51,940 million SLC | +17.2% |
| 2006 | 91,916 million SLC | +77.0% |
| 2007 | 124,310 million SLC | +35.2% |
| 2008 | 142,397 million SLC | +14.5% |
| 2009 | 139,001 million SLC | -2.4% |
| 2010 | 135,039 million SLC | -2.9% |
| 2011 | 192,982 million SLC | +42.9% |
| 2012 | 197,935 million SLC | +2.6% |
| 2013 | 200,702 million SLC | +1.4% |
| 2014 | 214,223 million SLC | +6.7% |
| 2015 | 220,631 million SLC | +3.0% |
| 2016 | 269,968 million SLC | +22.4% |
| 2017 | 250,132 million SLC | -7.3% |
| 2018 | 267,881 million SLC | +7.1% |
| 2019 | 271,786 million SLC | +1.5% |
| 2020 | 243,541 million SLC | -10.4% |
| 2021 | 256,348 million SLC | +5.3% |
| 2022 | 293,270 million SLC | +14.4% |
| 2023 | 338,457 million SLC | +15.4% |
| 2024 | 348,894 million SLC | +3.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 7,072 million SLC | 5,006 million SLC | 8,985 million SLC | 10 |
| 1980s | 5,724 million SLC | 4,072 million SLC | 8,862 million SLC | 10 |
| 1990s | 10,643 million SLC | 6,218 million SLC | 18,811 million SLC | 10 |
| 2000s | 70,458 million SLC | 16,980 million SLC | 142,397 million SLC | 10 |
| 2010s | 222,128 million SLC | 135,039 million SLC | 271,786 million SLC | 10 |
| 2020s | 296,102 million SLC | 243,541 million SLC | 348,894 million SLC | 5 |
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)
- GNI, Atlas method (current US$), annual growth rate 0.9629 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 1.02 current US$ per US$ of GDP (2025)
- GNI, Atlas method (current US$), per capita 74,330 current US$ per person (2025)
- GNI (current US$), annual growth rate 1.14 % change on previous year (2025)
- GNI (current US$), per unit of GDP 0.9799 current US$ per US$ of GDP (2025)
- GNI (current US$), per capita 71,065 current US$ per person (2025)
- GNI (current LCU), annual growth rate 1.14 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 3.57 current LCU per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Qatar?
- Gross fixed capital formation — value standard local currency, 2015 in Qatar was 348,894 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation — value standard local currency, 2015 recorded in Qatar?
- The highest recorded value was 348,894 million SLC in 2024.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Qatar?
- The lowest recorded value was 4,072 million SLC in 1987.
- How does Qatar rank for gross fixed capital formation — value standard local currency, 2015?
- Qatar ranks 78th out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Qatar?
- Over the last ten years it is up 62.9%. 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 Fixed Capital Formation — 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).