Statizoid

Tobacco — Stock Variation by country

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...

Countries reporting
101
Highest
10,000 t
Italy
Lowest
-4,545 t
United Arab Emirates
Median
0 t
Years covered
53
1961–2013
Data points
6,001

What the numbers show

Tobacco — Stock Variation is currently reported for 101 countries. The highest value is 10,000 t in Italy; the lowest is -4,545 t in United Arab Emirates.

The median across all reporting countries is 0 t, and the mean is 228.78 t.

The gap between the highest and lowest reporting country is a factor of about 2.

Over the past decade 17 countries rose and 25 fell. The largest increase was in Nigeria (up 300.0%), and the largest decrease in United Arab Emirates (down 183.3%).

Tobacco — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Italy 10,000 t 2013 — flat
2 Germany 5,500 t 2013 up 210.0% volatile
2 Melanesia 0 t 2013 — flat
2 Polynesia 0 t 2013 — volatile
2 Bolivia (Plurinational State of) 0 t 2013 — flat
2 Republic of Moldova 0 t 2013 — flat
2 United Republic of Tanzania 0 t 2013 — flat
2 Democratic People's Republic of Korea 0 t 2013 — volatile
3 Nigeria 3,636 t 2013 up 300.0% volatile
4 Armenia 3,505 t 2013 — volatile
5 Uganda 3,000 t 2013 up 130.0% flat
6 Costa Rica 895.45 t 2013 — flat
7 Lithuania 300 t 2013 — flat
8 Norway 250 t 2013 — flat
9 Serbia 200 t 2013 up 120.0% flat
10 Mauritius 130 t 2013 — flat
11 North Macedonia 100 t 2013 — volatile
12 Botswana 80 t 2013 — volatile
13 Yugoslav SFR 50 t 1991 — flat
14 South Africa 5 t 2013 up 150.0% flat
15 El Salvador 1 t 2013 — volatile
16 Angola 0 t 2013 — flat
16 Albania 0 t 2013 down 100.0% flat
16 Azerbaijan 0 t 2013 up 100.0% volatile
16 Belgium 0 t 2013 — flat
16 Benin 0 t 2013 down 100.0% volatile
16 Bulgaria 0 t 2013 — flat
16 Bahamas 0 t 2013 — flat
16 Belarus 0 t 2013 down 100.0% flat
16 Belize 0 t 2013 — volatile
16 Brazil 0 t 2013 up 100.0% flat
16 Central African Republic 0 t 2013 down 100.0% volatile
16 Chile 0 t 2013 — flat
16 Cameroon 0 t 2013 down 100.0% volatile
16 Congo 0 t 2013 down 100.0% volatile
16 Czechia 0 t 2013 up 100.0% flat
16 Dominican Republic 0 t 2013 — flat
16 Algeria 0 t 2013 down 100.0% volatile
16 Ecuador 0 t 2013 up 100.0% volatile
16 Spain 0 t 2013 — volatile
16 Estonia 0 t 2013 — flat
16 Finland 0 t 2013 up 100.0% flat
16 France 0 t 2013 — volatile
16 Gabon 0 t 2013 up 100.0% volatile
16 Georgia 0 t 2013 — flat
16 Ghana 0 t 2013 down 100.0% volatile
16 Gambia 0 t 2013 — flat
16 Guinea-Bissau 0 t 2013 — flat
16 Greece 0 t 2013 down 100.0% flat
16 Honduras 0 t 2013 — flat
16 Croatia 0 t 2013 — flat
16 Iraq 0 t 2013 — flat
16 Iceland 0 t 2013 — flat
16 Jamaica 0 t 2013 — flat
16 Kazakhstan 0 t 2013 down 100.0% volatile
16 Kyrgyzstan 0 t 2013 down 100.0% volatile
16 Cambodia 0 t 2013 down 100.0% volatile
16 Kuwait 0 t 2013 — flat
16 Lebanon 0 t 2013 — flat
16 Liberia 0 t 2013 — flat
16 Sri Lanka 0 t 2013 down 100.0% volatile
16 Luxembourg 0 t 2013 up 100.0% volatile
16 Latvia 0 t 2013 — flat
16 Morocco 0 t 2013 — flat
16 Madagascar 0 t 2013 up 100.0% volatile
16 Malta 0 t 2013 down 100.0% flat
16 Montenegro 0 t 2013 — flat
16 Mozambique 0 t 2013 down 100.0% flat
16 Malawi 0 t 2013 — volatile
16 Malaysia 0 t 2013 — flat
16 Namibia 0 t 2013 down 100.0% volatile
16 Niger 0 t 2013 down 100.0% volatile
16 Nicaragua 0 t 2013 — volatile
16 Nepal 0 t 2013 — volatile
16 Peru 0 t 2013 — volatile
16 Portugal 0 t 2013 up 100.0% volatile
16 Paraguay 0 t 2013 down 100.0% volatile
16 Romania 0 t 2013 — volatile
16 Saudi Arabia 0 t 2013 — flat
16 Solomon Islands 0 t 2013 — flat
16 Sierra Leone 0 t 2013 — flat
16 Slovakia 0 t 2013 — flat
16 Eswatini 0 t 2013 — flat
16 Chad 0 t 2013 up 100.0% flat
16 Thailand 0 t 2013 down 100.0% flat
16 Tajikistan 0 t 2013 down 100.0% flat
16 Tunisia 0 t 2013 — flat
16 Ukraine 0 t 2013 down 100.0% flat
16 Uruguay 0 t 2013 — flat
16 Uzbekistan 0 t 2013 — flat
16 Samoa 0 t 2013 — volatile
16 Zambia 0 t 2013 up 100.0% volatile
16 Zimbabwe 0 t 2013 down 100.0% flat
16 Sudan (former) 0 t 2011 down 100.0% flat
16 Caribbean 0 t 2013 — flat
16 China, Hong Kong SAR 0 t 2013 — flat
16 Russian Federation 0 t 2013 down 100.0% flat
16 China, Taiwan Province of 0 t 2013 — flat
16 C�te d'Ivoire 0 t 2013 up 100.0% volatile
16 China, Macao SAR 0 t 2013 — flat
94 United Arab Emirates -4,545 t 2013 down 183.3% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Tobacco — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/tobacco-stock-variation/

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About this data

Indicator
Tobacco — Stock Variation
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
128 places, 6,001 data points, 1961–2013
Last refreshed

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.