Value Added (Manufacture of food and beverages) — Value US$, 2015 prices by country
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages...
What the numbers show
Value Added (Manufacture of food and beverages) — Value US$, 2015 prices is currently reported for 44 countries. The highest value is 94,835 million USD in Japan; the lowest is 2.75 million USD in Marshall Islands.
The median across all reporting countries is 1,771 million USD, and the mean is 8,801 million USD.
The gap between the highest and lowest reporting country is a factor of about 34,513.
Over the past decade 34 countries rose and 9 fell. The largest increase was in Mongolia (up 320.2%), and the largest decrease in Puerto Rico (down 55.5%).
Value Added (Manufacture of food and beverages) — Value US$, 2015: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Japan | 94,835 million USD | 2007 | up 22.7% | rising |
| 2 | United Kingdom of Great Britain and Northern Ireland | 49,734 million USD | 2022 | up 58.8% | rising |
| 3 | India | 36,951 million USD | 2022 | up 65.2% | rising |
| 4 | Brazil | 31,115 million USD | 2022 | down 26.2% | flat |
| 5 | Argentina | 25,713 million USD | 2022 | down 2.8% | rising |
| 6 | Russian Federation | 24,481 million USD | 2016 | up 10.2% | rising |
| 7 | Republic of Korea | 19,334 million USD | 2007 | up 78.2% | rising |
| 8 | Colombia | 14,967 million USD | 2022 | up 40.3% | rising |
| 9 | Malaysia | 11,212 million USD | 2022 | up 55.1% | rising |
| 10 | South Africa | 9,000 million USD | 2010 | up 78.7% | rising |
| 11 | Ecuador | 7,765 million USD | 2022 | up 120.7% | rising |
| 12 | Peru | 7,236 million USD | 2022 | down 10.6% | rising |
| 13 | Israel | 6,612 million USD | 2022 | up 49.9% | rising |
| 14 | Romania | 6,597 million USD | 2002 | up 66.9% | rising |
| 15 | Sri Lanka | 5,002 million USD | 2021 | up 57.7% | rising |
| 16 | Kazakhstan | 4,914 million USD | 2022 | up 46.3% | rising |
| 17 | Kenya | 4,501 million USD | 2022 | up 92.7% | rising |
| 18 | Costa Rica | 3,591 million USD | 2022 | up 32.5% | rising |
| 19 | Belarus | 3,055 million USD | 2022 | up 46.8% | rising |
| 20 | Singapore | 3,052 million USD | 2022 | up 14.6% | volatile |
| 21 | Uruguay | 2,795 million USD | 2021 | up 6.5% | flat |
| 22 | Uzbekistan | 2,053 million USD | 2022 | down 9.5% | falling |
| 23 | Serbia | 1,489 million USD | 2022 | down 4.8% | falling |
| 24 | Puerto Rico | 1,083 million USD | 2021 | down 55.5% | falling |
| 25 | Nicaragua | 1,005 million USD | 2022 | up 36.8% | rising |
| 26 | Bulgaria | 917.75 million USD | 2007 | up 90.3% | rising |
| 27 | Iceland | 840.99 million USD | 2014 | up 85.6% | rising |
| 28 | Namibia | 763.64 million USD | 2022 | up 4.6% | flat |
| 29 | Mongolia | 759.82 million USD | 2022 | up 320.2% | volatile |
| 30 | Georgia | 702.13 million USD | 2022 | up 37.7% | rising |
| 31 | Mauritius | 700.09 million USD | 2022 | up 14.0% | rising |
| 32 | Armenia | 690.8 million USD | 2022 | up 30.4% | rising |
| 33 | Lebanon | 653.19 million USD | 2020 | down 37.9% | rising |
| 34 | Zimbabwe | 604.27 million USD | 2013 | — | rising |
| 35 | Rwanda | 603.12 million USD | 2022 | up 91.2% | rising |
| 36 | Oman | 497.65 million USD | 2020 | up 8.7% | rising |
| 37 | Trinidad and Tobago | 356.57 million USD | 2006 | up 3.3% | falling |
| 38 | Botswana | 290.27 million USD | 2022 | up 78.6% | rising |
| 39 | Burundi | 269.11 million USD | 2015 | up 32.8% | rising |
| 40 | North Macedonia | 225.11 million USD | 2021 | up 19.2% | rising |
| 41 | Albania | 182.49 million USD | 2022 | up 153.7% | rising |
| 42 | Montenegro | 68.01 million USD | 2021 | up 26.6% | rising |
| 43 | Bermuda | 4.96 million USD | 2020 | down 27.6% | falling |
| 44 | Marshall Islands | 2.75 million USD | 2021 | down 50.9% | falling |
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).