Cigars and cheroots — 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
Cigars and cheroots — Stock Variation is currently reported for 87 countries. The highest value is 48.57 t in China; the lowest is -130.47 t in Malaysia.
The median across all reporting countries is 0 t, and the mean is 0.2936 t.
Over the past decade 5 countries rose and 16 fell. The largest increase was in Saint Lucia (up 7,053.9%), and the largest decrease in Gabon (down 106.5%).
Cigars and cheroots — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 48.57 t | 2023 | up 1,328.5% | volatile |
| 2 | China, mainland | 48.44 t | 2023 | — | volatile |
| 3 | Germany | 16.94 t | 2023 | down 72.8% | volatile |
| 3 | Lao People's Democratic Republic | 0.57 t | 2023 | up 375.0% | volatile |
| 4 | Saint Lucia | 9.3 t | 2023 | up 7,053.9% | volatile |
| 5 | Brazil | 7.71 t | 2023 | — | volatile |
| 5 | Melanesia | 0.02 t | 2023 | — | volatile |
| 6 | Bangladesh | 5.83 t | 2023 | — | volatile |
| 6 | Micronesia | 0 t | 2023 | down 100.0% | volatile |
| 6 | Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 6 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | down 100.0% | volatile |
| 6 | United Republic of Tanzania | 0 t | 2023 | — | volatile |
| 7 | Caribbean | 10.58 t | 2023 | — | volatile |
| 7 | Cambodia | 5.07 t | 2023 | — | volatile |
| 8 | Sao Tome and Principe | 3 t | 2021 | — | volatile |
| 9 | South Africa | 2.97 t | 2023 | — | volatile |
| 10 | Belarus | 1.95 t | 2023 | — | volatile |
| 11 | Grenada | 1.28 t | 2023 | up 6,300.0% | volatile |
| 12 | Lithuania | 0.83 t | 2023 | down 98.9% | volatile |
| 13 | Nepal | 0.75 t | 2023 | — | volatile |
| 14 | Paraguay | 0.26 t | 2023 | — | volatile |
| 15 | Cameroon | 0.17 t | 2023 | — | volatile |
| 15 | Luxembourg | 0.17 t | 2023 | — | volatile |
| 16 | Cabo Verde | 0 t | 2023 | — | volatile |
| 16 | Côte d'Ivoire | 0 t | 2023 | — | volatile |
| 17 | China, Macao SAR | 0.13 t | 2023 | down 96.2% | volatile |
| 18 | Albania | 0 t | 2023 | — | volatile |
| 18 | United Arab Emirates | 0 t | 2023 | — | volatile |
| 18 | Belgium | 0 t | 2023 | up 100.0% | volatile |
| 18 | Bahrain | 0 t | 2023 | — | volatile |
| 18 | Barbados | 0 t | 2023 | — | volatile |
| 18 | Bhutan | 0 t | 2023 | — | volatile |
| 18 | Chile | 0 t | 2023 | — | volatile |
| 18 | Congo | 0 t | 2023 | — | volatile |
| 18 | Colombia | 0 t | 2023 | — | volatile |
| 18 | Czechia | 0 t | 2023 | — | volatile |
| 18 | Djibouti | 0 t | 2023 | — | volatile |
| 18 | Denmark | 0 t | 2023 | — | volatile |
| 18 | Algeria | 0 t | 2023 | — | volatile |
| 18 | Ecuador | 0 t | 2023 | — | flat |
| 18 | Spain | 0 t | 2023 | — | volatile |
| 18 | Georgia | 0 t | 2023 | — | volatile |
| 18 | Ghana | 0 t | 2023 | — | volatile |
| 18 | Guinea | 0 t | 2023 | down 100.0% | volatile |
| 18 | Guatemala | 0 t | 2023 | — | volatile |
| 18 | Guyana | 0 t | 2023 | — | volatile |
| 18 | Ireland | 0 t | 2023 | — | volatile |
| 18 | Jamaica | 0 t | 2023 | — | volatile |
| 18 | Kyrgyzstan | 0 t | 2023 | down 100.0% | volatile |
| 18 | Kiribati | 0 t | 2023 | down 100.0% | volatile |
| 18 | Kuwait | 0 t | 2023 | — | volatile |
| 18 | Liberia | 0 t | 2023 | down 100.0% | volatile |
| 18 | Latvia | 0 t | 2023 | down 100.0% | volatile |
| 18 | Madagascar | 0 t | 2023 | down 100.0% | volatile |
| 18 | Mexico | 0 t | 2023 | — | volatile |
| 18 | Marshall Islands | 0 t | 2023 | — | volatile |
| 18 | Montenegro | 0 t | 2023 | — | volatile |
| 18 | Mongolia | 0 t | 2023 | down 100.0% | volatile |
| 18 | Mauritania | 0 t | 2023 | — | volatile |
| 18 | Malawi | 0 t | 2023 | — | volatile |
| 18 | Namibia | 0 t | 2023 | — | volatile |
| 18 | New Caledonia | 0 t | 2023 | — | volatile |
| 18 | Niger | 0 t | 2023 | down 100.0% | volatile |
| 18 | Nigeria | 0 t | 2023 | — | volatile |
| 18 | Oman | 0 t | 2023 | — | volatile |
| 18 | Panama | 0 t | 2023 | — | volatile |
| 18 | Peru | 0 t | 2023 | — | volatile |
| 18 | Philippines | 0 t | 2023 | — | volatile |
| 18 | Poland | 0 t | 2023 | — | volatile |
| 18 | French Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 18 | Qatar | 0 t | 2023 | — | volatile |
| 18 | Rwanda | 0 t | 2023 | — | volatile |
| 18 | Saudi Arabia | 0 t | 2023 | — | volatile |
| 18 | Senegal | 0 t | 2023 | — | volatile |
| 18 | Suriname | 0 t | 2023 | — | volatile |
| 18 | Slovakia | 0 t | 2023 | — | volatile |
| 18 | Thailand | 0 t | 2023 | — | volatile |
| 18 | Tunisia | 0 t | 2023 | — | volatile |
| 18 | Uganda | 0 t | 2023 | — | volatile |
| 18 | Saint Vincent and the Grenadines | 0 t | 2023 | — | volatile |
| 18 | Vanuatu | 0 t | 2023 | — | volatile |
| 18 | Republic of Korea | 0 t | 2023 | — | volatile |
| 18 | Russian Federation | 0 t | 2023 | — | volatile |
| 18 | Netherlands (Kingdom of the) | 0 t | 2023 | — | volatile |
| 151 | Gabon | -0.04 t | 2023 | down 106.5% | volatile |
| 152 | Morocco | -8.49 t | 2023 | — | volatile |
| 153 | Malaysia | -130.47 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Asia 48.57 t
- Least Developed Countries (LDCs) 12.23 t
- Europe 19.89 t
- Small island developing States (SIDS) 10.61 t
- Americas 18.55 t
- European Union (27) 17.94 t
- Middle Africa 0.13 t
- Western Europe 17.11 t
- Net Food Importing Developing Countries (NFIDCs) 14.28 t
- South America 7.97 t
- Southern Asia 6.58 t
- Southern Africa 2.97 t
- Eastern Europe 1.95 t
- Land Locked Developing Countries (LLDCs) 1.57 t
- Low Income Food Deficit Countries (LIFDCs) 0.92 t
- Northern Europe 0.83 t
- Oceania 0.03 t
- Asia -69.69 t
- Central Asia 0 t
- Eastern Africa 0 t
- Western Africa 0 t
- Central America 0 t
- Southern Europe 0 t
- Western Asia 0 t
- Africa -5.4 t
- Northern Africa -8.49 t
- World -36.62 t
- South-Eastern Asia -124.84 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.