Value Added (Total Manufacturing) β€” Value US$, 2015 prices in Solomon Islands

Solomon Islands: Value Added (Total Manufacturing) β€” Value US$, 2015 prices was 117.74 million USD in 2023. β–² Rising

Latest (2023)
117.74 million USD
Change on year
down 2.3%
World rank
183rd
of 220 countries
All-time high
136.4 million USD
in 2019
All-time low
19.89 million USD
in 1970
Years of data
54
1970–2023

Value Added (Total Manufacturing) β€” Value US$, 2015 prices in Solomon Islands, 1970–2023

255075100125197019962023

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

Analysis

Solomon Islands recorded 117.74 million USD for value added (total manufacturing) β€” value us$, 2015 prices in 2023.

Compared with earlier readings it is down 2.3% on the previous year and down 11.5% over ten years.

Over the whole period, value added (total manufacturing) β€” value us$, 2015 prices in Solomon Islands peaked at 136.4 million USD in 2019 and was at its lowest, 19.89 million USD, in 1970.

That places Solomon Islands 183rd out of 220 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 54 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
1970s 28.03 million USD 19.89 million USD 43.33 million USD 10
1980s 46.77 million USD 38.68 million USD 57.37 million USD 10
1990s 83.94 million USD 54.79 million USD 111.66 million USD 10
2000s 97.35 million USD 72.66 million USD 120.81 million USD 10
2010s 127.18 million USD 103.05 million USD 136.4 million USD 10
2020s 124.63 million USD 117.74 million USD 131.97 million USD 4

Countries ranked near Solomon Islands

  1. 180 Belize 165.94 million USD compare
  2. 181 Bhutan 153.47 million USD compare
  3. 182 Eritrea 151.62 million USD compare
  4. 184 Maldives 113.96 million USD compare
  5. 185 Andorra 110.51 million USD compare
  6. 186 Cabo Verde 109.37 million USD compare

See the full ranking of 252 places β†’

More economy & growth data for Solomon Islands

All data for Solomon Islands β†’

Frequently asked questions

What is value added (total manufacturing) β€” value us$, 2015 prices in Solomon Islands?
Value added (total manufacturing) β€” value us$, 2015 prices in Solomon Islands was 117.74 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (total manufacturing) β€” value us$, 2015 prices recorded in Solomon Islands?
The highest recorded value was 136.4 million USD in 2019.
What is the lowest value added (total manufacturing) β€” value us$, 2015 prices recorded in Solomon Islands?
The lowest recorded value was 19.89 million USD in 1970.
How does Solomon Islands rank for value added (total manufacturing) β€” value us$, 2015 prices?
Solomon Islands ranks 183rd out of 220 countries with data for 2023.
Is value added (total manufacturing) β€” value us$, 2015 prices rising or falling in Solomon Islands?
Over the last ten years it is down 11.5%. The long-run trend across the full record is rising.
Where does this Solomon Islands data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Total Manufacturing) β€” Value US$, 2015 prices. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 54 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Value Added (Total Manufacturing) β€” Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
252 places, 12,511 data points, 1970–2023
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).