Cigars and cheroots — Residuals 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 — Residuals is currently reported for 90 countries. The highest value is 18 t in Lesotho; the lowest is -41,791 t in Dominican Republic.
The median across all reporting countries is 0 t, and the mean is -1,143 t.
Over the past decade 24 countries rose and 14 fell. The largest increase was in Lesotho (up 1,700.0%), and the largest decrease in Republic of Korea (down 33,500.0%).
Cigars and cheroots — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Lesotho | 18 t | 2023 | up 1,700.0% | volatile |
| 1 | Micronesia | 0 t | 2023 | — | volatile |
| 1 | Melanesia | 0 t | 2023 | — | volatile |
| 1 | Republic of Moldova | 0 t | 2023 | — | volatile |
| 1 | Lao People's Democratic Republic | 0 t | 2023 | — | volatile |
| 1 | United Republic of Tanzania | 0 t | 2023 | up 100.0% | volatile |
| 2 | Guinea | 1 t | 2023 | — | volatile |
| 3 | United Arab Emirates | 0 t | 2023 | — | volatile |
| 3 | Armenia | 0 t | 2023 | — | volatile |
| 3 | Azerbaijan | 0 t | 2023 | — | volatile |
| 3 | Bangladesh | 0 t | 2023 | up 100.0% | volatile |
| 3 | Belarus | 0 t | 2023 | — | volatile |
| 3 | Brazil | 0 t | 2023 | — | volatile |
| 3 | Barbados | 0 t | 2023 | — | volatile |
| 3 | Botswana | 0 t | 2023 | up 100.0% | volatile |
| 3 | Chile | 0 t | 2023 | — | volatile |
| 3 | China | 0 t | 2023 | up 100.0% | volatile |
| 3 | Congo | 0 t | 2023 | — | volatile |
| 3 | Czechia | 0 t | 2023 | up 100.0% | volatile |
| 3 | Germany | 0 t | 2023 | — | volatile |
| 3 | Denmark | 0 t | 2023 | up 100.0% | volatile |
| 3 | Ecuador | 0 t | 2023 | up 100.0% | volatile |
| 3 | Egypt | 0 t | 2023 | up 100.0% | volatile |
| 3 | Fiji | 0 t | 2023 | — | volatile |
| 3 | Georgia | 0 t | 2023 | — | volatile |
| 3 | Ghana | 0 t | 2023 | — | volatile |
| 3 | Grenada | 0 t | 2023 | — | volatile |
| 3 | Ireland | 0 t | 2023 | up 100.0% | volatile |
| 3 | Cambodia | 0 t | 2023 | — | volatile |
| 3 | Kiribati | 0 t | 2023 | — | volatile |
| 3 | Kuwait | 0 t | 2023 | — | volatile |
| 3 | Liberia | 0 t | 2023 | — | volatile |
| 3 | Saint Lucia | 0 t | 2023 | — | volatile |
| 3 | Lithuania | 0 t | 2023 | down 100.0% | volatile |
| 3 | Luxembourg | 0 t | 2023 | up 100.0% | volatile |
| 3 | Latvia | 0 t | 2023 | up 100.0% | volatile |
| 3 | Morocco | 0 t | 2023 | — | volatile |
| 3 | Madagascar | 0 t | 2023 | down 100.0% | volatile |
| 3 | Mexico | 0 t | 2023 | — | volatile |
| 3 | Montenegro | 0 t | 2023 | — | volatile |
| 3 | Mozambique | 0 t | 2023 | up 100.0% | volatile |
| 3 | Mauritius | 0 t | 2023 | up 100.0% | volatile |
| 3 | Malawi | 0 t | 2023 | — | volatile |
| 3 | Namibia | 0 t | 2023 | — | volatile |
| 3 | Niger | 0 t | 2023 | — | volatile |
| 3 | Nepal | 0 t | 2023 | up 100.0% | volatile |
| 3 | Oman | 0 t | 2023 | up 100.0% | volatile |
| 3 | Pakistan | 0 t | 2023 | up 100.0% | volatile |
| 3 | Panama | 0 t | 2023 | — | volatile |
| 3 | Peru | 0 t | 2023 | up 100.0% | volatile |
| 3 | Paraguay | 0 t | 2023 | — | volatile |
| 3 | Rwanda | 0 t | 2023 | up 100.0% | volatile |
| 3 | Saudi Arabia | 0 t | 2023 | — | volatile |
| 3 | Senegal | 0 t | 2023 | — | volatile |
| 3 | Solomon Islands | 0 t | 2023 | — | volatile |
| 3 | Suriname | 0 t | 2023 | — | volatile |
| 3 | Slovakia | 0 t | 2023 | — | volatile |
| 3 | Thailand | 0 t | 2023 | — | volatile |
| 3 | Tunisia | 0 t | 2023 | — | volatile |
| 3 | Uganda | 0 t | 2023 | — | volatile |
| 3 | Uzbekistan | 0 t | 2023 | — | volatile |
| 3 | Vanuatu | 0 t | 2023 | — | volatile |
| 3 | Yemen | 0 t | 2023 | — | volatile |
| 3 | South Africa | 0 t | 2023 | up 100.0% | volatile |
| 3 | Zambia | 0 t | 2023 | up 100.0% | volatile |
| 3 | Zimbabwe | 0 t | 2023 | — | volatile |
| 3 | China, Hong Kong SAR | 0 t | 2023 | — | volatile |
| 3 | China, mainland | 0 t | 2023 | up 100.0% | volatile |
| 3 | Netherlands (Kingdom of the) | 0 t | 2023 | — | volatile |
| 26 | Caribbean | -42,408 t | 2023 | down 413.8% | volatile |
| 144 | Bahrain | -1 t | 2023 | — | volatile |
| 145 | Guatemala | -3 t | 2023 | — | volatile |
| 146 | El Salvador | -16 t | 2023 | down 1,500.0% | volatile |
| 147 | Colombia | -26 t | 2023 | down 2,500.0% | volatile |
| 148 | Ukraine | -55 t | 2023 | — | volatile |
| 149 | Philippines | -65 t | 2023 | down 132.1% | volatile |
| 150 | India | -94 t | 2023 | down 40.3% | volatile |
| 151 | Costa Rica | -104 t | 2023 | down 116.7% | falling |
| 152 | Kenya | -131 t | 2023 | — | volatile |
| 153 | Republic of Korea | -336 t | 2023 | down 33,500.0% | volatile |
| 154 | Sri Lanka | -350 t | 2023 | down 56.2% | falling |
| 155 | Myanmar | -543 t | 2023 | — | volatile |
| 156 | Cuba | -754 t | 2019 | up 14.2% | volatile |
| 157 | Belgium | -920 t | 2023 | — | volatile |
| 158 | Poland | -1,067 t | 2023 | — | volatile |
| 159 | Hungary | -1,542 t | 2023 | down 585.3% | volatile |
| 160 | Honduras | -2,146 t | 2023 | down 340.7% | volatile |
| 161 | Indonesia | -2,263 t | 2023 | up 5.0% | volatile |
| 162 | Nicaragua | -8,290 t | 2023 | down 68.2% | falling |
| 163 | Dominican Republic | -41,791 t | 2023 | down 483.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Southern Africa 18 t
- Land Locked Developing Countries (LLDCs) 18 t
- Middle Africa 0 t
- Western Africa 1 t
- Oceania 0 t
- Central Asia 0 t
- Northern Africa 0 t
- Northern Europe 0 t
- Southern Europe 0 t
- Western Asia -1 t
- South America -26 t
- Africa -112 t
- Low Income Food Deficit Countries (LIFDCs) -112 t
- Least Developed Countries (LDCs) -524 t
- Asia -3,652 t
- Eastern Africa -131 t
- Small island developing States (SIDS) -42,408 t
- Eastern Asia -336 t
- Southern Asia -444 t
- Western Europe -920 t
- Eastern Europe -2,664 t
- South-Eastern Asia -2,871 t
- European Union (27) -3,529 t
- Europe -3,584 t
- Central America -10,559 t
- Net Food Importing Developing Countries (NFIDCs) -45,575 t
- Americas -52,993 t
- World -60,341 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.