Kenya vs Mongolia: Value Added (Manufacture of tobacco products) — Value Standard Local
Value Added (Manufacture of tobacco products) — Value Standard Local over time
- Kenya
- Mongolia
How they compare
Mongolia currently reports 12,074 million SLC against 5,061 million SLC in Kenya, a difference of 7,013 million SLC.
That makes Mongolia's figure about 2.4 times Kenya's.
The two have swapped places 1 time across 19 shared years of data; in 2003 it was Kenya ahead.
Kenya ranks 12th and Mongolia ranks 10th of 26 countries.
Mongolia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Kenya | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 4,093 million SLC | 8,329 million SLC | 4,235 million SLC | Mongolia |
| 2010s | 5,884 million SLC | 21,818 million SLC | 15,934 million SLC | Mongolia |
| 2020s | 4,477 million SLC | 10,327 million SLC | 5,850 million SLC | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (manufacture of tobacco products) — value standard local, Kenya or Mongolia?
- Mongolia, at 12,074 million SLC against 5,061 million SLC in Kenya as of 2022.
- What is the difference in value added (manufacture of tobacco products) — value standard local between Kenya and Mongolia?
- 7,013 million SLC, with Mongolia ahead.
- How many years of comparable data are there for Kenya and Mongolia?
- 19 years are reported by both, from 2003 to 2022.
- How do Kenya and Mongolia rank globally for value added (manufacture of tobacco products) — value standard local?
- Kenya ranks 12th and Mongolia ranks 10th of 26 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Manufacture of tobacco products) — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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).