Malta vs Zimbabwe: Gross Fixed Capital Formation — Value Standard Local Currency, 2015

Malta
3,044 million SLC
in 2024
Zimbabwe
2,734 million SLC
in 2024
Malta rank
156th
Zimbabwe rank
159th

Gross Fixed Capital Formation — Value Standard Local Currency, 2015 over time

  • Malta
  • Zimbabwe
01.0k2.0k3.0k4.0k5.0k197019972024

How they compare

Malta currently reports 3,044 million SLC against 2,734 million SLC in Zimbabwe, a difference of 310 million SLC.

That makes Malta's figure about 1.1 times Zimbabwe's.

The two have swapped places 5 times across 55 shared years of data; in 1970 it was Zimbabwe ahead.

Malta ranks 156th and Zimbabwe ranks 159th of 194 countries.

Across the 6 decades both report, Malta averaged higher in 1 and Zimbabwe in 5.

Head to head by decade

Decade Malta Zimbabwe Difference Ahead
1970s 222.06 million SLC 645.17 million SLC 423.1 million SLC Zimbabwe
1980s 457.1 million SLC 618.69 million SLC 161.59 million SLC Zimbabwe
1990s 850.39 million SLC 911.53 million SLC 61.13 million SLC Zimbabwe
2000s 1,238 million SLC 1,798 million SLC 560 million SLC Zimbabwe
2010s 1,966 million SLC 1,971 million SLC 5.27 million SLC Zimbabwe
2020s 3,110 million SLC 2,309 million SLC 800.62 million SLC Malta

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gross fixed capital formation — value standard local currency, 2015, Malta or Zimbabwe?
Malta, at 3,044 million SLC against 2,734 million SLC in Zimbabwe as of 2024.
What is the difference in gross fixed capital formation — value standard local currency, 2015 between Malta and Zimbabwe?
310 million SLC, with Malta ahead.
How many years of comparable data are there for Malta and Zimbabwe?
55 years are reported by both, from 1970 to 2024.
How do Malta and Zimbabwe rank globally for gross fixed capital formation — value standard local currency, 2015?
Malta ranks 156th and Zimbabwe ranks 159th of 194 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Malta vs Zimbabwe: Gross Fixed Capital Formation — Value Standard Local Currency, 2015. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 31 August 2026, from https://economy.statizoid.com/compare/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/malta/zimbabwe/

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About this data

Indicator
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 10,794 data points, 1970–2024
Last refreshed

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).