Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Zimbabwe
Zimbabwe: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 2,734 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Zimbabwe, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, gross fixed capital formation — value standard local currency, 2015 in Zimbabwe stood at 2,734 million SLC.
That represents a change of up 1.6% on the previous year and up 44.6% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Zimbabwe peaked at 4,601 million SLC in 2005 and was at its lowest, 434.3 million SLC, in 1978.
That places Zimbabwe 159th out of 194 countries with data for 2024, putting it in the bottom quarter.
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 Zimbabwe, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 499.15 million SLC | — |
| 1971 | 587.59 million SLC | +17.7% |
| 1972 | 642.61 million SLC | +9.4% |
| 1973 | 783.12 million SLC | +21.9% |
| 1974 | 921.67 million SLC | +17.7% |
| 1975 | 883.35 million SLC | -4.2% |
| 1976 | 715.32 million SLC | -19.0% |
| 1977 | 549.27 million SLC | -23.2% |
| 1978 | 434.3 million SLC | -20.9% |
| 1979 | 435.29 million SLC | +0.2% |
| 1980 | 518.81 million SLC | +19.2% |
| 1981 | 709.43 million SLC | +36.7% |
| 1982 | 774.28 million SLC | +9.1% |
| 1983 | 751.68 million SLC | -2.9% |
| 1984 | 607.24 million SLC | -19.2% |
| 1985 | 496.21 million SLC | -18.3% |
| 1986 | 528.81 million SLC | +6.6% |
| 1987 | 560.35 million SLC | +6.0% |
| 1988 | 624.92 million SLC | +11.5% |
| 1989 | 615.18 million SLC | -1.6% |
| 1990 | 828.56 million SLC | +34.7% |
| 1991 | 1,020 million SLC | +23.1% |
| 1992 | 933.14 million SLC | -8.5% |
| 1993 | 998.98 million SLC | +7.1% |
| 1994 | 1,033 million SLC | +3.5% |
| 1995 | 1,061 million SLC | +2.7% |
| 1996 | 745.37 million SLC | -29.7% |
| 1997 | 723.78 million SLC | -2.9% |
| 1998 | 945.84 million SLC | +30.7% |
| 1999 | 825.39 million SLC | -12.7% |
| 2000 | 1,329 million SLC | +61.0% |
| 2001 | 1,515 million SLC | +14.0% |
| 2002 | 1,393 million SLC | -8.0% |
| 2003 | 2,443 million SLC | +75.3% |
| 2004 | 3,412 million SLC | +39.7% |
| 2005 | 4,601 million SLC | +34.8% |
| 2006 | 751.07 million SLC | -83.7% |
| 2007 | 842.5 million SLC | +12.2% |
| 2008 | 712.77 million SLC | -15.4% |
| 2009 | 981.89 million SLC | +37.8% |
| 2010 | 1,849 million SLC | +88.3% |
| 2011 | 1,746 million SLC | -5.6% |
| 2012 | 2,193 million SLC | +25.6% |
| 2013 | 1,677 million SLC | -23.5% |
| 2014 | 1,891 million SLC | +12.7% |
| 2015 | 1,995 million SLC | +5.5% |
| 2016 | 2,005 million SLC | +0.5% |
| 2017 | 2,090 million SLC | +4.2% |
| 2018 | 2,171 million SLC | +3.9% |
| 2019 | 2,094 million SLC | -3.6% |
| 2020 | 1,914 million SLC | -8.6% |
| 2021 | 1,930 million SLC | +0.8% |
| 2022 | 2,277 million SLC | +17.9% |
| 2023 | 2,690 million SLC | +18.2% |
| 2024 | 2,734 million SLC | +1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 645.17 million SLC | 434.3 million SLC | 921.67 million SLC | 10 |
| 1980s | 618.69 million SLC | 496.21 million SLC | 774.28 million SLC | 10 |
| 1990s | 911.53 million SLC | 723.78 million SLC | 1,061 million SLC | 10 |
| 2000s | 1,798 million SLC | 712.77 million SLC | 4,601 million SLC | 10 |
| 2010s | 1,971 million SLC | 1,677 million SLC | 2,193 million SLC | 10 |
| 2020s | 2,309 million SLC | 1,914 million SLC | 2,734 million SLC | 5 |
Countries ranked near Zimbabwe
- 156 Malta 3,044 million SLC compare
- 157 Solomon Islands 2,968 million SLC compare
- 158 Bahamas 2,894 million SLC compare
- 160 Palestine, State of 2,641 million SLC compare
- 161 Sao Tome and Principe 2,489 million SLC compare
- 162 Fiji 1,947 million SLC compare
More economy & growth data for Zimbabwe
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.02 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 3 Percent per annum (2029)
- Gross domestic savings (current US$), annual growth rate -0.2755 % change on previous year (2024)
- Gross domestic savings (current US$), per unit of GDP 0.0342 current US$ per US$ of GDP (2024)
- Gross domestic savings (current US$), per capita 85.29 current US$ per person (2024)
- Gross domestic savings (current LCU), annual growth rate 949.01 % change on previous year (2024)
- Gross domestic savings (current LCU), per unit of GDP 0.6769 current LCU per US$ of GDP (2024)
- Gross domestic savings (current LCU), per capita 1,690 current LCU per person (2024)
- GNI, Atlas method (current US$), annual growth rate 12.79 % change on previous year (2025)
- GNI, Atlas method (current US$), per unit of GDP 0.8792 current US$ per US$ of GDP (2025)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Zimbabwe?
- Gross fixed capital formation — value standard local currency, 2015 in Zimbabwe was 2,734 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 Zimbabwe?
- The highest recorded value was 4,601 million SLC in 2005.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Zimbabwe?
- The lowest recorded value was 434.3 million SLC in 1978.
- How does Zimbabwe rank for gross fixed capital formation — value standard local currency, 2015?
- Zimbabwe ranks 159th out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Zimbabwe?
- Over the last ten years it is up 44.6%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe 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
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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).