Silk waste — 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
88
Highest
5,679 t
China
Lowest
0 t
Russian Federation
Median
0.71 t
Years covered
14
2010–2023
Data points
1,272
What the numbers show
Silk waste — Import quantity is currently reported for 88 countries. The highest value is 5,679 t in China; the lowest is 0 t in Russian Federation.
The median across all reporting countries is 0.71 t, and the mean is 154.3 t.
Over the past decade 15 countries rose and 23 fell. The largest increase was in Viet Nam (up 9,164.7%), and the largest decrease in Malta (down 100.0%).
Silk waste — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,679 t | 2023 | up 129.1% | rising |
| 2 | China, mainland | 5,679 t | 2023 | up 129.3% | rising |
| 3 | Italy | 721.53 t | 2023 | down 22.1% | falling |
| 4 | Germany | 402.41 t | 2023 | down 21.7% | falling |
| 5 | Cameroon | 229.49 t | 2021 | — | volatile |
| 6 | Thailand | 115.72 t | 2023 | down 44.1% | falling |
| 7 | Bangladesh | 106.88 t | 2023 | down 7.1% | volatile |
| 8 | Kyrgyzstan | 91.15 t | 2021 | — | volatile |
| 9 | Republic of Korea | 82.9 t | 2023 | up 207.0% | volatile |
| 10 | United Kingdom of Great Britain and Northern Ireland | 79.37 t | 2023 | down 25.1% | rising |
| 11 | Bulgaria | 53.83 t | 2023 | up 9.9% | volatile |
| 12 | Türkiye | 52.91 t | 2023 | up 76.4% | volatile |
| 13 | India | 41.23 t | 2023 | down 73.9% | volatile |
| 14 | France | 35.76 t | 2023 | up 2.2% | falling |
| 15 | Slovenia | 32.08 t | 2023 | up 301.0% | volatile |
| 16 | Mozambique | 19.01 t | 2020 | — | volatile |
| 17 | Kazakhstan | 18.2 t | 2022 | — | volatile |
| 18 | Viet Nam | 15.75 t | 2023 | up 9,164.7% | volatile |
| 19 | Pakistan | 12.74 t | 2023 | — | volatile |
| 20 | Czechia | 11.93 t | 2023 | up 32.6% | volatile |
| 21 | Austria | 11.37 t | 2023 | down 50.6% | volatile |
| 22 | Uganda | 9.15 t | 2017 | — | volatile |
| 23 | Australia and New Zealand | 7.6 t | 2023 | up 52.0% | flat |
| 24 | New Zealand | 7.08 t | 2023 | up 41.6% | rising |
| 25 | Portugal | 6.16 t | 2023 | up 105.3% | volatile |
| 26 | Estonia | 5.91 t | 2023 | — | volatile |
| 27 | Afghanistan | 5.75 t | 2021 | up 349.2% | volatile |
| 28 | Myanmar | 5 t | 2020 | — | volatile |
| 29 | Iran (Islamic Republic of) | 4 t | 2023 | — | volatile |
| 30 | Hungary | 3.42 t | 2023 | up 14.0% | volatile |
| 31 | Tunisia | 3.13 t | 2023 | — | volatile |
| 32 | Netherlands (Kingdom of the) | 3.12 t | 2023 | — | volatile |
| 33 | Poland | 3.09 t | 2023 | up 54.5% | volatile |
| 34 | Senegal | 2.73 t | 2022 | — | volatile |
| 35 | United Republic of Tanzania | 2.29 t | 2019 | — | volatile |
| 36 | Kenya | 1.92 t | 2022 | — | volatile |
| 37 | Spain | 1.73 t | 2023 | down 56.8% | volatile |
| 38 | Israel | 1.4 t | 2017 | — | volatile |
| 39 | Bolivia (Plurinational State of) | 1.03 t | 2021 | — | volatile |
| 40 | Brazil | 0.96 t | 2023 | down 4.0% | volatile |
| 41 | Canada | 0.91 t | 2023 | down 81.8% | falling |
| 42 | Caribbean | 0.9 t | 2022 | down 70.0% | volatile |
| 43 | Dominican Republic | 0.8 t | 2018 | down 73.3% | volatile |
| 44 | Uruguay | 0.75 t | 2023 | down 62.5% | volatile |
| 45 | Philippines | 0.67 t | 2022 | — | volatile |
| 46 | Iceland | 0.61 t | 2023 | — | volatile |
| 47 | Nepal | 0.56 t | 2023 | — | volatile |
| 48 | Australia | 0.53 t | 2023 | — | volatile |
| 48 | Lithuania | 0.53 t | 2023 | down 93.4% | volatile |
| 50 | Mauritius | 0.51 t | 2021 | — | volatile |
| 51 | Romania | 0.5 t | 2023 | down 83.3% | volatile |
| 52 | Lao People's Democratic Republic | 0.41 t | 2020 | down 33.9% | volatile |
| 53 | Ukraine | 0.3 t | 2022 | — | volatile |
| 54 | Malawi | 0.25 t | 2021 | — | volatile |
| 55 | Madagascar | 0.23 t | 2018 | — | volatile |
| 56 | Norway | 0.21 t | 2023 | — | volatile |
| 57 | Egypt | 0.2 t | 2015 | down 99.5% | volatile |
| 57 | Paraguay | 0.2 t | 2016 | — | volatile |
| 57 | China, Taiwan Province of | 0.2 t | 2023 | down 90.0% | volatile |
| 60 | Bahamas | 0.14 t | 2017 | — | volatile |
| 60 | Saudi Arabia | 0.14 t | 2023 | — | volatile |
| 62 | Sweden | 0.1 t | 2023 | — | volatile |
| 63 | Denmark | 0.05 t | 2023 | — | volatile |
| 64 | Belgium | 0.04 t | 2023 | down 96.0% | volatile |
| 64 | China, Hong Kong SAR | 0.04 t | 2016 | down 99.9% | volatile |
| 66 | Botswana | 0.03 t | 2023 | — | volatile |
| 66 | Lebanon | 0.03 t | 2018 | — | volatile |
| 68 | Azerbaijan | 0.02 t | 2018 | — | volatile |
| 68 | Bosnia and Herzegovina | 0.02 t | 2020 | — | volatile |
| 68 | Chile | 0.02 t | 2022 | — | volatile |
| 71 | Finland | 0.01 t | 2021 | — | volatile |
| 71 | Latvia | 0.01 t | 2023 | — | volatile |
| 71 | Malaysia | 0.01 t | 2023 | down 99.9% | volatile |
| 71 | Seychelles | 0.01 t | 2017 | — | volatile |
| 71 | Zambia | 0.01 t | 2019 | — | volatile |
| 76 | United Arab Emirates | 0 t | 2023 | — | volatile |
| 76 | Barbados | 0 t | 2018 | — | flat |
| 76 | Ethiopia | 0 t | 2021 | — | volatile |
| 76 | Greece | 0 t | 2021 | — | volatile |
| 76 | Guatemala | 0 t | 2021 | — | flat |
| 76 | Croatia | 0 t | 2023 | — | volatile |
| 76 | Indonesia | 0 t | 2023 | — | volatile |
| 76 | Sri Lanka | 0 t | 2022 | — | volatile |
| 76 | Luxembourg | 0 t | 2021 | — | volatile |
| 76 | Mexico | 0 t | 2018 | — | volatile |
| 76 | Malta | 0 t | 2023 | down 100.0% | volatile |
| 76 | Namibia | 0 t | 2019 | down 100.0% | volatile |
| 76 | Russian Federation | 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 7,586 t
- Asia 6,113 t
- Eastern Asia 5,762 t
- Europe 1,374 t
- European Union (27) 1,294 t
- Southern Europe 761.51 t
- Western Europe 452.7 t
- Southern Asia 165.43 t
- Net Food Importing Developing Countries (NFIDCs) 147.99 t
- Least Developed Countries (LDCs) 132.1 t
- South-eastern Asia 131.47 t
- Northern Europe 86.79 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.