Silk-worm cocoons suitable for reeling — Import quantity by country
Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.
Countries reporting
80
Highest
239.97 t
China
Lowest
0 t
Australia and New Zealand
Median
0.055 t
Years covered
14
2010–2023
Data points
1,114
What the numbers show
Silk-worm cocoons suitable for reeling — Import quantity is currently reported for 80 countries. The highest value is 239.97 t in China; the lowest is 0 t in Australia and New Zealand.
The median across all reporting countries is 0.055 t, and the mean is 12.48 t.
Over the past decade 3 countries rose and 13 fell. The largest increase was in China (up 7,899.0%), and the largest decrease in Indonesia (down 100.0%).
Silk-worm cocoons suitable for reeling — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 239.97 t | 2023 | up 7,899.0% | volatile |
| 1 | China, mainland | 239.97 t | 2023 | — | volatile |
| 3 | Spain | 159.03 t | 2023 | — | volatile |
| 4 | Kazakhstan | 133.73 t | 2021 | up 2,574.6% | volatile |
| 5 | Viet Nam | 52.86 t | 2023 | — | volatile |
| 6 | Iran (Islamic Republic of) | 35.02 t | 2022 | up 169.4% | volatile |
| 7 | Myanmar | 30 t | 2022 | — | volatile |
| 8 | Bulgaria | 23.38 t | 2017 | — | volatile |
| 9 | Dominican Republic | 21 t | 2018 | — | volatile |
| 10 | Türkiye | 14.74 t | 2023 | — | volatile |
| 11 | Greece | 8.08 t | 2022 | — | volatile |
| 12 | Pakistan | 6.85 t | 2023 | — | volatile |
| 13 | Egypt | 6.24 t | 2018 | — | volatile |
| 14 | Kyrgyzstan | 4.45 t | 2022 | — | volatile |
| 15 | Canada | 3.77 t | 2023 | — | volatile |
| 16 | France | 2.84 t | 2023 | down 29.0% | volatile |
| 17 | Poland | 2.01 t | 2023 | — | volatile |
| 18 | Paraguay | 1.95 t | 2016 | — | volatile |
| 19 | United Kingdom of Great Britain and Northern Ireland | 1.64 t | 2023 | down 18.0% | volatile |
| 20 | Sweden | 1.46 t | 2023 | — | volatile |
| 21 | Philippines | 1.38 t | 2023 | down 94.5% | volatile |
| 22 | Yemen | 1.05 t | 2014 | — | volatile |
| 23 | United Republic of Tanzania | 0.99 t | 2014 | — | volatile |
| 24 | Germany | 0.88 t | 2023 | — | volatile |
| 25 | China, Hong Kong SAR | 0.76 t | 2019 | down 92.4% | volatile |
| 26 | Belgium | 0.75 t | 2023 | down 81.2% | volatile |
| 27 | Zambia | 0.66 t | 2023 | down 95.9% | volatile |
| 28 | Oman | 0.5 t | 2014 | — | volatile |
| 29 | Norway | 0.33 t | 2023 | — | volatile |
| 30 | Ethiopia | 0.3 t | 2018 | — | volatile |
| 31 | China, Taiwan Province of | 0.28 t | 2019 | — | volatile |
| 32 | Republic of Korea | 0.25 t | 2023 | down 75.0% | volatile |
| 33 | Barbados | 0.22 t | 2017 | — | volatile |
| 34 | Slovakia | 0.15 t | 2023 | — | volatile |
| 34 | Bolivia (Plurinational State of) | 0.15 t | 2020 | — | volatile |
| 36 | Switzerland | 0.14 t | 2023 | — | volatile |
| 36 | Sri Lanka | 0.14 t | 2022 | — | volatile |
| 38 | Ireland | 0.08 t | 2023 | — | volatile |
| 39 | Tunisia | 0.07 t | 2019 | — | volatile |
| 40 | Cameroon | 0.06 t | 2017 | — | volatile |
| 41 | Botswana | 0.05 t | 2022 | — | volatile |
| 41 | Nepal | 0.05 t | 2023 | — | volatile |
| 43 | Bangladesh | 0.03 t | 2014 | — | volatile |
| 43 | Malaysia | 0.03 t | 2023 | — | volatile |
| 43 | Netherlands (Kingdom of the) | 0.03 t | 2023 | down 100.0% | volatile |
| 46 | United Arab Emirates | 0.02 t | 2023 | — | volatile |
| 46 | Luxembourg | 0.02 t | 2023 | — | volatile |
| 46 | Morocco | 0.02 t | 2019 | — | volatile |
| 46 | French Polynesia | 0.02 t | 2022 | — | volatile |
| 46 | Romania | 0.02 t | 2023 | — | volatile |
| 46 | Slovenia | 0.02 t | 2023 | — | volatile |
| 46 | Polynesia | 0.02 t | 2022 | — | volatile |
| 53 | Denmark | 0.01 t | 2023 | — | volatile |
| 53 | Georgia | 0.01 t | 2014 | — | volatile |
| 53 | Italy | 0.01 t | 2023 | — | volatile |
| 53 | Lebanon | 0.01 t | 2017 | — | volatile |
| 53 | Malawi | 0.01 t | 2016 | down 99.9% | volatile |
| 53 | Nigeria | 0.01 t | 2021 | down 100.0% | volatile |
| 53 | Portugal | 0.01 t | 2022 | — | volatile |
| 60 | Australia | 0 t | 2021 | — | flat |
| 60 | Austria | 0 t | 2023 | — | volatile |
| 60 | Bahamas | 0 t | 2023 | — | volatile |
| 60 | Chile | 0 t | 2021 | — | flat |
| 60 | Czechia | 0 t | 2023 | — | volatile |
| 60 | Estonia | 0 t | 2022 | — | flat |
| 60 | Finland | 0 t | 2022 | — | volatile |
| 60 | Fiji | 0 t | 2019 | — | flat |
| 60 | Indonesia | 0 t | 2020 | down 100.0% | volatile |
| 60 | India | 0 t | 2018 | — | volatile |
| 60 | Iceland | 0 t | 2023 | — | volatile |
| 60 | Kuwait | 0 t | 2022 | down 100.0% | volatile |
| 60 | Namibia | 0 t | 2019 | — | volatile |
| 60 | New Zealand | 0 t | 2017 | — | volatile |
| 60 | Saudi Arabia | 0 t | 2022 | — | volatile |
| 60 | Eswatini | 0 t | 2023 | — | volatile |
| 60 | Thailand | 0 t | 2022 | down 100.0% | volatile |
| 60 | Melanesia | 0 t | 2019 | — | flat |
| 60 | Caribbean | 0 t | 2023 | — | volatile |
| 60 | Russian Federation | 0 t | 2022 | — | flat |
| 60 | Australia and New Zealand | 0 t | 2021 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 507.48 t
- Asia 316.23 t
- Eastern Asia 240.22 t
- Europe 169.41 t
- European Union (27) 167.3 t
- Southern Europe 159.05 t
- South-eastern Asia 54.28 t
- Net Food Importing Developing Countries (NFIDCs) 24.89 t
- Africa 18.07 t
- Least Developed Countries (LDCs) 18.02 t
- Low Income Food Deficit Countries (LIFDCs) 17.38 t
- Middle Africa 15.06 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.