Value Added (Manufacture of food, beverages and tobacco products) — Ratio of Value Added (Agriculture, Forestry and Fishing) Standard Local Currency 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, beverages and tobacco products) — Ratio of Value Added (Agriculture, Forestry and Fishing) Standard Local Currency is currently reported for 44 countries. The highest value is 26.96 in Singapore; the lowest is 0.0441 in North Macedonia.
The median across all reporting countries is 0.5446, and the mean is 1.31.
The gap between the highest and lowest reporting country is a factor of about 611.
Over the past decade 26 countries rose and 17 fell. The largest increase was in Bulgaria (up 305.3%), and the largest decrease in North Macedonia (down 80.3%).
Value Added (Manufacture of food, beverages and tobacco products): full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Singapore | 26.96 | 2022 | down 0.9% | rising |
| 2 | Trinidad and Tobago | 2.97 | 2006 | up 50.0% | rising |
| 3 | Japan | 2.25 | 2007 | up 43.2% | rising |
| 4 | United Kingdom of Great Britain and Northern Ireland | 2.18 | 2022 | up 17.2% | rising |
| 5 | Puerto Rico | 1.81 | 2021 | down 39.6% | falling |
| 6 | Mauritius | 1.48 | 2022 | down 5.3% | rising |
| 7 | South Africa | 1.44 | 2010 | up 28.1% | rising |
| 8 | Costa Rica | 1.29 | 2022 | up 19.6% | rising |
| 9 | Israel | 1.24 | 2022 | up 20.2% | rising |
| 10 | Iceland | 1.02 | 2014 | up 53.1% | rising |
| 11 | Botswana | 0.9566 | 2022 | up 69.6% | rising |
| 12 | Ecuador | 0.8793 | 2022 | up 78.5% | rising |
| 13 | Republic of Korea | 0.7853 | 2007 | up 56.7% | rising |
| 14 | Namibia | 0.7704 | 2022 | down 7.2% | falling |
| 15 | Argentina | 0.727 | 2022 | down 3.8% | rising |
| 16 | Belarus | 0.6915 | 2022 | up 42.6% | rising |
| 17 | Sri Lanka | 0.6674 | 2021 | down 7.6% | flat |
| 18 | Lebanon | 0.6454 | 2020 | up 24.0% | rising |
| 19 | Armenia | 0.6038 | 2022 | up 67.0% | rising |
| 20 | Romania | 0.5644 | 2002 | up 64.8% | rising |
| 21 | Uruguay | 0.5625 | 2021 | up 3.9% | flat |
| 22 | Georgia | 0.5512 | 2022 | up 40.4% | rising |
| 23 | Zimbabwe | 0.5379 | 2013 | — | rising |
| 24 | Kazakhstan | 0.5235 | 2022 | up 0.8% | rising |
| 25 | Bulgaria | 0.4973 | 2007 | up 305.3% | rising |
| 26 | Serbia | 0.4758 | 2022 | down 30.7% | falling |
| 27 | Russian Federation | 0.4681 | 2016 | down 24.6% | falling |
| 28 | Colombia | 0.4434 | 2022 | down 38.6% | falling |
| 29 | Peru | 0.4366 | 2022 | down 39.3% | falling |
| 30 | Nicaragua | 0.4214 | 2022 | up 3.1% | rising |
| 31 | Brazil | 0.39 | 2022 | down 26.8% | falling |
| 32 | Mongolia | 0.3507 | 2022 | up 115.1% | rising |
| 33 | Malaysia | 0.3323 | 2022 | up 10.5% | rising |
| 34 | Burundi | 0.2716 | 2015 | up 0.9% | flat |
| 35 | Oman | 0.2407 | 2020 | down 64.3% | falling |
| 36 | Rwanda | 0.2292 | 2022 | up 36.5% | rising |
| 37 | Bermuda | 0.2224 | 2020 | down 24.5% | falling |
| 38 | Montenegro | 0.221 | 2021 | up 15.0% | flat |
| 39 | Kenya | 0.1995 | 2022 | down 12.9% | falling |
| 40 | Uzbekistan | 0.1071 | 2022 | up 1.6% | falling |
| 41 | Marshall Islands | 0.0815 | 2021 | down 66.7% | falling |
| 42 | India | 0.0735 | 2022 | down 21.1% | falling |
| 43 | Albania | 0.0659 | 2022 | up 89.2% | rising |
| 44 | North Macedonia | 0.0441 | 2022 | down 80.3% | rising |
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).