Value Added (Manufacture of food and beverages) — Value US$ 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$ is currently reported for 44 countries. The highest value is 103,127 million USD in Japan; the lowest is 3.91 million USD in Bermuda.
The median across all reporting countries is 1,882 million USD, and the mean is 9,292 million USD.
The gap between the highest and lowest reporting country is a factor of about 26,348.
Over the past decade 32 countries rose and 11 fell. The largest increase was in Bulgaria (up 355.0%), and the largest decrease in Puerto Rico (down 50.1%).
Value Added (Manufacture of food and beverages) — Value US$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Japan | 103,127 million USD | 2007 | down 0.6% | falling |
| 2 | United Kingdom of Great Britain and Northern Ireland | 44,734 million USD | 2022 | up 41.6% | rising |
| 3 | Brazil | 43,267 million USD | 2022 | down 17.7% | falling |
| 4 | India | 37,772 million USD | 2022 | up 49.9% | rising |
| 5 | Argentina | 29,989 million USD | 2022 | up 20.7% | rising |
| 6 | Russian Federation | 21,427 million USD | 2016 | down 4.6% | rising |
| 7 | Republic of Korea | 19,277 million USD | 2007 | up 87.0% | rising |
| 8 | Colombia | 13,589 million USD | 2022 | down 8.7% | falling |
| 9 | South Africa | 12,649 million USD | 2010 | up 184.1% | rising |
| 10 | Malaysia | 11,451 million USD | 2022 | up 27.2% | rising |
| 11 | Peru | 7,692 million USD | 2022 | down 17.5% | rising |
| 12 | Israel | 7,594 million USD | 2022 | up 87.0% | rising |
| 13 | Ecuador | 7,357 million USD | 2022 | up 143.8% | rising |
| 14 | Kazakhstan | 5,804 million USD | 2022 | up 35.6% | rising |
| 15 | Sri Lanka | 4,814 million USD | 2021 | up 39.9% | rising |
| 16 | Kenya | 4,760 million USD | 2022 | up 101.5% | volatile |
| 17 | Belarus | 4,103 million USD | 2022 | up 58.4% | rising |
| 18 | Costa Rica | 3,685 million USD | 2022 | up 41.5% | rising |
| 19 | Singapore | 3,565 million USD | 2022 | up 33.4% | volatile |
| 20 | Romania | 2,896 million USD | 2002 | up 146.9% | rising |
| 21 | Uruguay | 2,718 million USD | 2021 | up 3.1% | falling |
| 22 | Uzbekistan | 1,910 million USD | 2022 | down 4.3% | falling |
| 23 | Serbia | 1,854 million USD | 2022 | down 1.3% | flat |
| 24 | Puerto Rico | 1,243 million USD | 2021 | down 50.1% | falling |
| 25 | Lebanon | 1,191 million USD | 2020 | up 54.0% | rising |
| 26 | Nicaragua | 974.1 million USD | 2022 | up 36.6% | rising |
| 27 | Iceland | 956.92 million USD | 2014 | up 97.3% | rising |
| 28 | Armenia | 945.78 million USD | 2022 | up 78.5% | rising |
| 29 | Bulgaria | 900.9 million USD | 2007 | up 355.0% | volatile |
| 30 | Georgia | 898.38 million USD | 2022 | up 62.7% | volatile |
| 31 | Namibia | 848.14 million USD | 2022 | up 3.3% | falling |
| 32 | Mongolia | 779.64 million USD | 2022 | up 256.7% | volatile |
| 33 | Rwanda | 759.55 million USD | 2022 | up 130.6% | rising |
| 34 | Mauritius | 680.65 million USD | 2022 | up 2.1% | rising |
| 35 | Zimbabwe | 597.18 million USD | 2013 | — | rising |
| 36 | Oman | 451.21 million USD | 2020 | down 21.6% | flat |
| 37 | Trinidad and Tobago | 340.93 million USD | 2006 | up 25.4% | rising |
| 38 | North Macedonia | 325.98 million USD | 2021 | up 23.4% | rising |
| 39 | Botswana | 307.09 million USD | 2022 | up 69.1% | rising |
| 40 | Burundi | 269.11 million USD | 2015 | up 110.9% | rising |
| 41 | Albania | 232.15 million USD | 2022 | up 190.7% | volatile |
| 42 | Montenegro | 81.55 million USD | 2021 | up 15.6% | rising |
| 43 | Marshall Islands | 5.35 million USD | 2021 | down 4.5% | flat |
| 44 | Bermuda | 3.91 million USD | 2020 | down 30.0% | 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).