Value Added (Manufacture of tobacco products) — Value Standard Local Currency, 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 tobacco products) — Value Standard Local Currency, 2015 prices is currently reported for 26 countries. The highest value is 1.83 million million SLC in Republic of Korea; the lowest is 1.61 million SLC in Montenegro.
The median across all reporting countries is 2,800 million SLC, and the mean is 128,964 million SLC.
Over the past decade 12 countries rose and 12 fell. The largest increase was in Malaysia (up 190.1%), and the largest decrease in Brazil (down 73.5%).
Value Added (Manufacture of tobacco products) — Value Standard Local: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 1.83 million million SLC | 2007 | down 37.6% | falling |
| 2 | Japan | 595,418 million SLC | 2007 | up 61.5% | rising |
| 3 | Uzbekistan | 311,006 million SLC | 2022 | down 27.6% | falling |
| 4 | India | 259,561 million SLC | 2022 | up 13.7% | rising |
| 5 | Russian Federation | 106,046 million SLC | 2016 | up 39.8% | flat |
| 6 | Armenia | 87,177 million SLC | 2022 | up 43.3% | rising |
| 7 | Kazakhstan | 73,228 million SLC | 2022 | up 20.5% | rising |
| 8 | Sri Lanka | 54,241 million SLC | 2021 | down 55.2% | falling |
| 9 | Serbia | 8,773 million SLC | 2022 | up 166.3% | falling |
| 10 | Mongolia | 7,382 million SLC | 2022 | down 36.0% | volatile |
| 11 | Argentina | 4,357 million SLC | 2022 | down 20.4% | rising |
| 12 | Kenya | 3,986 million SLC | 2022 | down 40.9% | falling |
| 13 | Nicaragua | 3,249 million SLC | 2022 | up 156.0% | volatile |
| 14 | Malaysia | 2,351 million SLC | 2022 | up 190.1% | rising |
| 15 | North Macedonia | 1,822 million SLC | 2022 | down 2.1% | rising |
| 16 | Brazil | 1,531 million SLC | 2022 | down 73.5% | falling |
| 17 | Trinidad and Tobago | 487.66 million SLC | 2006 | up 30.0% | rising |
| 18 | Romania | 477.95 million SLC | 2002 | down 44.4% | volatile |
| 19 | Bulgaria | 228.19 million SLC | 2007 | down 38.5% | falling |
| 20 | Albania | 161.33 million SLC | 2014 | down 47.5% | volatile |
| 21 | Zimbabwe | 138.1 million SLC | 2013 | — | rising |
| 22 | Puerto Rico | 47.9 million SLC | 2021 | up 45.4% | rising |
| 23 | Peru | 44.64 million SLC | 2005 | — | falling |
| 24 | Georgia | 26.69 million SLC | 2022 | down 20.4% | volatile |
| 25 | Ecuador | 14.68 million SLC | 2020 | up 28.4% | rising |
| 26 | Montenegro | 1.61 million SLC | 2021 | up 83.5% | 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).