Cigarettes — Stock Variation by country
Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.
What the numbers show
Cigarettes — Stock Variation is currently reported for 85 countries. The highest value is 18,460 t in Viet Nam; the lowest is -4,398 t in Ukraine.
The median across all reporting countries is 0 t, and the mean is 245.17 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 6 countries rose and 15 fell. The largest increase was in Hungary (up 1,102.9%), and the largest decrease in Namibia (down 154.8%).
Cigarettes — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Viet Nam | 18,460 t | 2023 | up 555.9% | volatile |
| 1 | Russian Federation | 6,142 t | 2023 | — | volatile |
| 2 | Hungary | 2,076 t | 2023 | up 1,102.9% | volatile |
| 3 | Senegal | 644.33 t | 2023 | — | volatile |
| 4 | Ghana | 121.52 t | 2023 | up 196.0% | volatile |
| 5 | Congo | 61.46 t | 2023 | — | volatile |
| 6 | Zambia | 30.91 t | 2023 | — | volatile |
| 6 | Micronesia | 0 t | 2023 | — | volatile |
| 6 | Melanesia | 0 t | 2023 | — | volatile |
| 6 | Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | — | volatile |
| 6 | Türkiye | 0 t | 2023 | — | volatile |
| 6 | Lao People's Democratic Republic | 0 t | 2023 | down 100.0% | volatile |
| 7 | Seychelles | 7.87 t | 2023 | — | volatile |
| 8 | Algeria | 4.39 t | 2023 | — | volatile |
| 9 | Eswatini | 0.05 t | 2023 | — | volatile |
| 10 | Afghanistan | 0 t | 2023 | — | volatile |
| 10 | Albania | 0 t | 2023 | — | volatile |
| 10 | United Arab Emirates | 0 t | 2023 | down 100.0% | flat |
| 10 | Argentina | 0 t | 2023 | — | volatile |
| 10 | Australia | 0 t | 2023 | — | volatile |
| 10 | Azerbaijan | 0 t | 2023 | down 100.0% | volatile |
| 10 | Belgium | 0 t | 2023 | — | volatile |
| 10 | Burkina Faso | 0 t | 2023 | — | volatile |
| 10 | Bulgaria | 0 t | 2023 | — | volatile |
| 10 | Bahrain | 0 t | 2023 | — | volatile |
| 10 | Belarus | 0 t | 2023 | — | volatile |
| 10 | Brazil | 0 t | 2023 | — | volatile |
| 10 | Bhutan | 0 t | 2023 | — | volatile |
| 10 | Canada | 0 t | 2023 | — | volatile |
| 10 | China | 0 t | 2023 | down 100.0% | volatile |
| 10 | Colombia | 0 t | 2023 | — | volatile |
| 10 | Costa Rica | 0 t | 2023 | — | volatile |
| 10 | Germany | 0 t | 2023 | — | volatile |
| 10 | Djibouti | 0 t | 2023 | — | volatile |
| 10 | Denmark | 0 t | 2023 | down 100.0% | volatile |
| 10 | Dominican Republic | 0 t | 2023 | — | volatile |
| 10 | Spain | 0 t | 2023 | — | volatile |
| 10 | Finland | 0 t | 2023 | down 100.0% | volatile |
| 10 | Fiji | 0 t | 2023 | — | volatile |
| 10 | Iraq | 0 t | 2023 | — | volatile |
| 10 | Kenya | 0 t | 2023 | — | flat |
| 10 | Liberia | 0 t | 2023 | — | volatile |
| 10 | Saint Lucia | 0 t | 2023 | — | volatile |
| 10 | Sri Lanka | 0 t | 2023 | up 100.0% | volatile |
| 10 | Luxembourg | 0 t | 2023 | down 100.0% | volatile |
| 10 | Latvia | 0 t | 2023 | down 100.0% | volatile |
| 10 | Madagascar | 0 t | 2023 | down 100.0% | volatile |
| 10 | Marshall Islands | 0 t | 2023 | — | volatile |
| 10 | North Macedonia | 0 t | 2023 | — | volatile |
| 10 | Malta | 0 t | 2023 | — | volatile |
| 10 | Myanmar | 0 t | 2023 | up 100.0% | volatile |
| 10 | Malaysia | 0 t | 2023 | — | volatile |
| 10 | Niger | 0 t | 2023 | — | volatile |
| 10 | Nigeria | 0 t | 2023 | — | volatile |
| 10 | Nauru | 0 t | 2023 | — | volatile |
| 10 | New Zealand | 0 t | 2023 | — | volatile |
| 10 | Pakistan | 0 t | 2023 | — | volatile |
| 10 | Panama | 0 t | 2023 | — | volatile |
| 10 | Philippines | 0 t | 2023 | down 100.0% | flat |
| 10 | Paraguay | 0 t | 2023 | — | flat |
| 10 | Qatar | 0 t | 2023 | — | volatile |
| 10 | Solomon Islands | 0 t | 2023 | — | volatile |
| 10 | Serbia | 0 t | 2023 | — | volatile |
| 10 | Suriname | 0 t | 2023 | — | volatile |
| 10 | Slovenia | 0 t | 2023 | — | volatile |
| 10 | Sweden | 0 t | 2023 | — | volatile |
| 10 | Tonga | 0 t | 2023 | — | volatile |
| 10 | Trinidad and Tobago | 0 t | 2023 | — | flat |
| 10 | Tuvalu | 0 t | 2023 | — | volatile |
| 10 | Uzbekistan | 0 t | 2023 | — | volatile |
| 10 | Samoa | 0 t | 2023 | down 100.0% | volatile |
| 10 | Yemen | 0 t | 2023 | up 100.0% | volatile |
| 10 | South Africa | 0 t | 2023 | — | volatile |
| 10 | Australia and New Zealand | 0 t | 2023 | — | volatile |
| 10 | China, Taiwan Province of | 0 t | 2023 | — | volatile |
| 10 | Netherlands (Kingdom of the) | 0 t | 2023 | — | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 0 t | 2023 | — | volatile |
| 10 | China, Macao SAR | 0 t | 2023 | down 100.0% | volatile |
| 12 | Caribbean | 0 t | 2023 | — | volatile |
| 159 | Bangladesh | -41.99 t | 2023 | — | volatile |
| 160 | Namibia | -71.43 t | 2023 | down 154.8% | volatile |
| 161 | Oman | -124.2 t | 2023 | — | volatile |
| 162 | Kazakhstan | -2,073 t | 2023 | down 88.5% | volatile |
| 163 | Ukraine | -4,398 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 20,840 t
- South-Eastern Asia 18,460 t
- Asia 16,221 t
- Europe 3,820 t
- Eastern Europe 3,820 t
- Least Developed Countries (LDCs) 633.24 t
- Middle Africa 61.46 t
- European Union (27) 2,076 t
- Small island developing States (SIDS) 7.87 t
- Africa 799.09 t
- Western Africa 765.85 t
- Low Income Food Deficit Countries (LIFDCs) 705.79 t
- Net Food Importing Developing Countries (NFIDCs) 561.85 t
- Eastern Africa 38.78 t
- Northern Africa 4.39 t
- Oceania 0 t
- South America 0 t
- Americas 0 t
- Northern America 0 t
- Western Europe 0 t
- Central America 0 t
- Northern Europe 0 t
- Southern Europe 0 t
- Eastern Asia 0 t
- United States of America 0 t
- Southern Asia -41.99 t
- Southern Africa -71.39 t
- Western Asia -124.2 t
- Land Locked Developing Countries (LLDCs) -2,042 t
- Central Asia -2,073 t
About this data
Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.