Gross Domestic Product — Value Standard Local Currency, 2015 prices in Montserrat

Montserrat: Gross Domestic Product — Value Standard Local Currency, 2015 prices was 235.34 million SLC in 2024. ▼ Falling

Latest (2024)
235.34 million SLC
Change on year
up 0.3%
World rank
191st
of 194 countries
All-time high
368.18 million SLC
in 1990
All-time low
137.71 million SLC
in 2001
Years of data
55
1970–2024

Gross Domestic Product — Value Standard Local Currency, 2015 prices in Montserrat, 1970–2024

0100200300400197019972024

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

Analysis

In 2024, gross domestic product — value standard local currency, 2015 prices in Montserrat stood at 235.34 million SLC.

That represents a change of up 0.3% on the previous year and up 43.7% over ten years.

Over the whole period, gross domestic product — value standard local currency, 2015 prices in Montserrat peaked at 368.18 million SLC in 1990 and was at its lowest, 137.71 million SLC, in 2001.

Montserrat ranks 191st of 194 countries on this measure, in the bottom quarter.

The long-run direction has been consistently falling across the 55 years of available data.

Gross Domestic Product — Value Standard Local Currency, 2015 prices in Montserrat, year by year

Annual values for Gross Domestic Product — Value Standard Local Currency, 2015 prices in Montserrat, 1970 to 2024.
Year million SLC Change
1970 174.52 million SLC
1971 178.6 million SLC +2.3%
1972 181.67 million SLC +1.7%
1973 186.68 million SLC +2.8%
1974 193.97 million SLC +3.9%
1975 203.05 million SLC +4.7%
1976 200.46 million SLC -1.3%
1977 197.86 million SLC -1.3%
1978 213.88 million SLC +8.1%
1979 234.87 million SLC +9.8%
1980 255.27 million SLC +8.7%
1981 265.71 million SLC +4.1%
1982 279.62 million SLC +5.2%
1983 263.03 million SLC -5.9%
1984 271.51 million SLC +3.2%
1985 287.55 million SLC +5.9%
1986 295.14 million SLC +2.6%
1987 305.83 million SLC +3.6%
1988 333.91 million SLC +9.2%
1989 344.58 million SLC +3.2%
1990 368.18 million SLC +6.8%
1991 342.4 million SLC -7.0%
1992 343.07 million SLC +0.2%
1993 334.31 million SLC -2.6%
1994 353.97 million SLC +5.9%
1995 322.73 million SLC -8.8%
1996 238.15 million SLC -26.2%
1997 185.49 million SLC -22.1%
1998 153.15 million SLC -17.4%
1999 141.73 million SLC -7.5%
2000 138.15 million SLC -2.5%
2001 137.71 million SLC -0.3%
2002 140.88 million SLC +2.3%
2003 141.57 million SLC +0.5%
2004 148.25 million SLC +4.7%
2005 152.9 million SLC +3.1%
2006 151.81 million SLC -0.7%
2007 152.47 million SLC +0.4%
2008 158.92 million SLC +4.2%
2009 161.37 million SLC +1.5%
2010 150.24 million SLC -6.9%
2011 159.24 million SLC +6.0%
2012 159.52 million SLC +0.2%
2013 161.21 million SLC +1.1%
2014 163.81 million SLC +1.6%
2015 165.73 million SLC +1.2%
2016 167.92 million SLC +1.3%
2017 161.57 million SLC -3.8%
2018 168.02 million SLC +4.0%
2019 177.95 million SLC +5.9%
2020 202.17 million SLC +13.6%
2021 213.25 million SLC +5.5%
2022 218.62 million SLC +2.5%
2023 234.56 million SLC +7.3%
2024 235.34 million SLC +0.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 196.56 million SLC 174.52 million SLC 234.87 million SLC 10
1980s 290.21 million SLC 255.27 million SLC 344.58 million SLC 10
1990s 278.32 million SLC 141.73 million SLC 368.18 million SLC 10
2000s 148.4 million SLC 137.71 million SLC 161.37 million SLC 10
2010s 163.52 million SLC 150.24 million SLC 177.95 million SLC 10
2020s 220.79 million SLC 202.17 million SLC 235.34 million SLC 5

Countries ranked near Montserrat

  1. 188 Cook Islands 528.49 million SLC compare
  2. 189 Kiribati 365.61 million SLC compare
  3. 190 Palau 239.6 million SLC compare
  4. 192 Marshall Islands 216.1 million SLC compare
  5. 193 Naoero 168.06 million SLC compare
  6. 194 Tuvalu 63.94 million SLC compare

See the full ranking of 210 places →

More economy & growth data for Montserrat

All data for Montserrat →

Frequently asked questions

What is gross domestic product — value standard local currency, 2015 prices in Montserrat?
Gross domestic product — value standard local currency, 2015 prices in Montserrat was 235.34 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest gross domestic product — value standard local currency, 2015 prices recorded in Montserrat?
The highest recorded value was 368.18 million SLC in 1990.
What is the lowest gross domestic product — value standard local currency, 2015 prices recorded in Montserrat?
The lowest recorded value was 137.71 million SLC in 2001.
How does Montserrat rank for gross domestic product — value standard local currency, 2015 prices?
Montserrat ranks 191st out of 194 countries with data for 2024.
Is gross domestic product — value standard local currency, 2015 prices rising or falling in Montserrat?
Over the last ten years it is up 43.7%. The long-run trend across the full record is falling.
Where does this Montserrat data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Domestic Product — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Domestic Product — Value Standard Local Currency, 2015 prices in Montserrat. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 September 2026, from https://economy.statizoid.com/stat/gross-domestic-product-value-standard-local-currency-2015-prices/montserrat/

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About this data

Indicator
Gross Domestic Product — 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
210 places, 10,849 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).