Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Montserrat

Montserrat: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 61.17 million SLC in 2024. ◆ Volatile

Latest (2024)
61.17 million SLC
Change on year
up 0.6%
World rank
191st
of 194 countries
All-time high
369.83 million SLC
in 1990
All-time low
27.12 million SLC
in 2015
Years of data
55
1970–2024

Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Montserrat, 1970–2024

0100200300400197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

Montserrat recorded 61.17 million SLC for gross fixed capital formation — value standard local currency, 2015 in 2024.

That represents a change of up 0.6% on the previous year and up 34.2% over ten years.

Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Montserrat peaked at 369.83 million SLC in 1990 and was at its lowest, 27.12 million SLC, in 2015.

That places Montserrat 191st 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 Montserrat, year by year

Annual values for Gross Fixed Capital Formation — Value Standard Local Currency, 2015 prices in Montserrat, 1970 to 2024.
Year million SLC Change
1970 44.23 million SLC
1971 44.82 million SLC +1.3%
1972 45.92 million SLC +2.4%
1973 47.9 million SLC +4.3%
1974 47.25 million SLC -1.3%
1975 52.4 million SLC +10.9%
1976 53.72 million SLC +2.5%
1977 40.51 million SLC -24.6%
1978 46.24 million SLC +14.1%
1979 61.65 million SLC +33.3%
1980 66.05 million SLC +7.1%
1981 80.58 million SLC +22.0%
1982 77.5 million SLC -3.8%
1983 53.28 million SLC -31.3%
1984 55.33 million SLC +3.8%
1985 64.41 million SLC +16.4%
1986 74.43 million SLC +15.5%
1987 81.56 million SLC +9.6%
1988 118.53 million SLC +45.3%
1989 241.8 million SLC +104.0%
1990 369.83 million SLC +53.0%
1991 124.62 million SLC -66.3%
1992 116.2 million SLC -6.8%
1993 86.97 million SLC -25.2%
1994 81.16 million SLC -6.7%
1995 58.44 million SLC -28.0%
1996 54.72 million SLC -6.4%
1997 91.8 million SLC +67.8%
1998 113.35 million SLC +23.5%
1999 96.28 million SLC -15.1%
2000 62.17 million SLC -35.4%
2001 56.32 million SLC -9.4%
2002 65.77 million SLC +16.8%
2003 78.24 million SLC +19.0%
2004 60.94 million SLC -22.1%
2005 49.28 million SLC -19.1%
2006 35.39 million SLC -28.2%
2007 35.55 million SLC +0.5%
2008 38.68 million SLC +8.8%
2009 37.47 million SLC -3.1%
2010 36.15 million SLC -3.5%
2011 34.06 million SLC -5.8%
2012 35.45 million SLC +4.1%
2013 42.12 million SLC +18.8%
2014 45.57 million SLC +8.2%
2015 27.12 million SLC -40.5%
2016 50.7 million SLC +87.0%
2017 32.85 million SLC -35.2%
2018 35.14 million SLC +7.0%
2019 44.67 million SLC +27.1%
2020 47.21 million SLC +5.7%
2021 61.19 million SLC +29.6%
2022 56.22 million SLC -8.1%
2023 60.8 million SLC +8.1%
2024 61.17 million SLC +0.6%

Averages by decade

DecadeAverage LowestHighest Years
1970s 48.46 million SLC 40.51 million SLC 61.65 million SLC 10
1980s 91.35 million SLC 53.28 million SLC 241.8 million SLC 10
1990s 119.34 million SLC 54.72 million SLC 369.83 million SLC 10
2000s 51.98 million SLC 35.39 million SLC 78.24 million SLC 10
2010s 38.38 million SLC 27.12 million SLC 50.7 million SLC 10
2020s 57.32 million SLC 47.21 million SLC 61.19 million SLC 5

Countries ranked near Montserrat

  1. 188 Kiribati 95.82 million SLC compare
  2. 189 Cook Islands 95.53 million SLC compare
  3. 190 Palau 89.59 million SLC compare
  4. 192 Marshall Islands 57.66 million SLC compare
  5. 193 Nauru 40.86 million SLC compare
  6. 194 Tuvalu 17.14 million SLC compare

See the full ranking of 209 places →

More economy & growth data for Montserrat

All data for Montserrat →

Frequently asked questions

What is gross fixed capital formation — value standard local currency, 2015 in Montserrat?
Gross fixed capital formation — value standard local currency, 2015 in Montserrat was 61.17 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 Montserrat?
The highest recorded value was 369.83 million SLC in 1990.
What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Montserrat?
The lowest recorded value was 27.12 million SLC in 2015.
How does Montserrat rank for gross fixed capital formation — value standard local currency, 2015?
Montserrat ranks 191st out of 194 countries with data for 2024.
Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Montserrat?
Over the last ten years it is up 34.2%. The long-run trend across the full record is volatile.
Where does this Montserrat 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.

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Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Montserrat. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 August 2026, from https://economy.statizoid.com/stat/gross-fixed-capital-formation-value-standard-local-currency-2015-prices/montserrat/

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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).