Value Added (Agriculture, Forestry and Fishing) β Value US$ in Marshall Islands
Marshall Islands: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 58.43 million USD in 2024. β Volatile
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Marshall Islands, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Marshall Islands recorded 58.43 million USD for value added (agriculture, forestry and fishing) β value us$ in 2024.
Compared with earlier readings it is up 8.5% on the previous year and up 160.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Marshall Islands peaked at 65.66 million USD in 2021 and was at its lowest, 0.7604 million USD, in 1970.
That places Marshall Islands 196th out of 217 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1.42 million USD | 0.7604 million USD | 2.31 million USD | 10 |
| 1980s | 4.39 million USD | 2.42 million USD | 6.58 million USD | 10 |
| 1990s | 9.1 million USD | 7.04 million USD | 11.6 million USD | 10 |
| 2000s | 10.38 million USD | 8.51 million USD | 14.47 million USD | 10 |
| 2010s | 28.7 million USD | 17.06 million USD | 42.83 million USD | 10 |
| 2020s | 55.57 million USD | 48.97 million USD | 65.66 million USD | 5 |
Countries ranked near Marshall Islands
- 193 Bahamas 75.49 million USD compare
- 194 Djibouti 64.56 million USD compare
- 195 Seychelles 58.67 million USD compare
- 197 Saint Vincent and the Grenadines 41.85 million USD compare
- 198 Antigua and Barbuda 41.78 million USD compare
- 199 Grenada 39.13 million USD compare
More environment data for Marshall Islands
- Temperature change 0.507 Β°C (2025)
- Standard Deviation 0.212 Β°C (2025)
- Sawnwood, coniferous β Import value 2,251 1000 USD (2024)
- Sawnwood β Export quantity 0 m3 (2024)
- Sawnwood β Export value 0 1000 USD (2024)
- Sawnwood, coniferous β Import quantity 5,990 m3 (2024)
- Sawnwood, non-coniferous β Import value 88 1000 USD (2024)
- Sawnwood, non-coniferous β Export value 0 1000 USD (2024)
- Sawnwood, non-coniferous β Export quantity 0 m3 (2024)
- Sawnwood β Import value 2,339 1000 USD (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Marshall Islands?
- Value added (agriculture, forestry and fishing) β value us$ in Marshall Islands was 58.43 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value us$ recorded in Marshall Islands?
- The highest recorded value was 65.66 million USD in 2021.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Marshall Islands?
- The lowest recorded value was 0.7604 million USD in 1970.
- How does Marshall Islands rank for value added (agriculture, forestry and fishing) β value us$?
- Marshall Islands ranks 196th out of 217 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Marshall Islands?
- Over the last ten years it is up 160.8%. The long-run trend across the full record is volatile.
- Where does this Marshall Islands data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) β Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).