Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$) by country

The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.

Countries reporting
36
Highest
1.12 million 1000 Int$
India
Lowest
4 1000 Int$
Djibouti
Median
498.5 1000 Int$
Years covered
64
1961–2024
Data points
2,891

What the numbers show

Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$) is currently reported for 36 countries. The highest value is 1.12 million 1000 Int$ in India; the lowest is 4 1000 Int$ in Djibouti.

The median across all reporting countries is 498.5 1000 Int$, and the mean is 81,568 1000 Int$.

Over the past decade 14 countries rose and 17 fell. The largest increase was in Azerbaijan (up 35,800.0%), and the largest decrease in Syrian Arab Republic (down 98.5%).

Silk-worm cocoons suitable for reeling — Gross Production Value: full country ranking

#Country LatestYear 10-year changeTrend
1 India 1.12 million 1000 Int$ 2024 up 47.3% volatile
2 China 631,536 1000 Int$ 2024 down 68.4% volatile
2 Viet Nam 68,239 1000 Int$ 2024 up 134.9% volatile
3 China, mainland 631,527 1000 Int$ 2024 down 68.4% volatile
3 Democratic People's Republic of Korea 11,090 1000 Int$ 2024 up 12.9% volatile
4 USSR 249,174 1000 Int$ 1991 up 13.7% rising
4 Iran (Islamic Republic of) 7,733 1000 Int$ 2024 up 203.6% volatile
5 Uzbekistan 129,166 1000 Int$ 2024 up 20.3% rising
6 Romania 60,145 1000 Int$ 2017 unchanged volatile
6 Türkiye 365 1000 Int$ 2024 up 6.1% volatile
7 Thailand 8,592 1000 Int$ 2024 down 59.4% falling
7 Syrian Arab Republic 3 1000 Int$ 2024 down 98.5% volatile
8 Brazil 6,794 1000 Int$ 2024 down 41.0% volatile
9 Tajikistan 6,075 1000 Int$ 2024 down 1.0% rising
10 Afghanistan 2,148 1000 Int$ 2024 unchanged flat
11 Kyrgyzstan 1,474 1000 Int$ 2024 down 3.9% falling
12 Azerbaijan 1,436 1000 Int$ 2024 up 35,800.0% volatile
13 Cambodia 1,195 1000 Int$ 2024 up 0.1% rising
14 Yugoslav SFR 657 1000 Int$ 1991 down 10.0% volatile
15 Spain 632 1000 Int$ 1990 up 22.5% volatile
16 Italy 259 1000 Int$ 2017 up 2.4% volatile
17 Madagascar 245 1000 Int$ 2024 down 43.0% volatile
18 Hungary 215 1000 Int$ 1972 down 81.9% falling
19 Lebanon 163 1000 Int$ 1990 up 26.4% volatile
19 Japan 163 1000 Int$ 2024 down 74.5% volatile
21 Indonesia 99 1000 Int$ 2024 down 66.8% volatile
22 Bulgaria 79 1000 Int$ 2017 down 55.9% volatile
23 Greece 64 1000 Int$ 2017 unchanged volatile
24 Myanmar 47 1000 Int$ 1990 down 35.6% volatile
25 Republic of Korea 45 1000 Int$ 2024 up 73.1% volatile
26 France 43 1000 Int$ 1994 — volatile
27 Egypt 32 1000 Int$ 2024 up 28.0% volatile
28 Nepal 17 1000 Int$ 2024 down 89.5% falling
29 China, Taiwan Province of 9 1000 Int$ 2024 unchanged volatile
30 Poland 4 1000 Int$ 1995 down 97.2% volatile
30 Djibouti 4 1000 Int$ 1988 down 92.3% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Silk-worm cocoons suitable for reeling — Gross Production Value by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/silk-worm-cocoons-suitable-for-reeling-gross-production-value-constant-2014-2016-thousand/

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<a href="https://agriculture.statizoid.com/stat/silk-worm-cocoons-suitable-for-reeling-gross-production-value-constant-2014-2016-thousand/">Silk-worm cocoons suitable for reeling — Gross Production Value by country</a> — Statizoid

About this data

Indicator
Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$)
Unit
1000 Int$
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
57 places, 2,891 data points, 1961–2024
Last refreshed

The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.