This article has been written to share the Accurate Statistical Trade Ranking by country.
The graphs that have been shared show the International Trade Price and Weight of
“Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing”(HScode:961800)
The graphs that have been shared show the International Trade Price and Weight of
“Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing”(HScode:961800)
These graphs may help you to find new Buyer and Supplier Country.
All the Statistical data that is depicted here is taken from UN Comtrade Database.
Export Trade Statistics of (HScode:961800)
Here is a graph which shows export statistics of
961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing(HScode:961800) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing(HScode:961800) worldwide in 2017
With the help of these statistics, you can get the information about the ranking of the top export countries worldwide in2017
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According to the stats, China ranked at the top in exports of “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing” total export value 261,932,666.0USD
China is followed by Italy: 41,542,261.0USD
China, Hong Kong SAR: 37,529,137.0USD
Spain: 34,919,673.0USD
Netherlands: 25,222,460.0USD and
United Kingdom: 24,214,382.0USD
China is followed by Italy: 41,542,261.0USD
China, Hong Kong SAR: 37,529,137.0USD
Spain: 34,919,673.0USD
Netherlands: 25,222,460.0USD and
United Kingdom: 24,214,382.0USD
Supplier country’s “export value per KG” of (HScode:961800)
Another graph below is displaying:
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
“The export value per KG in USD”(The Total Weight divides the Total Export Value)
This graph shows which country exports items at a lower price in comparison with the other countries.
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Belarus ranked first in Exports “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing” at the lowest price of 1.34USD/KG Belarus is followed by Philippines2.54USD/KG, Bulgaria3.71USD/KG, Turkey6.31USD/KG, Oman6.62USD/KG, and Ireland6.96USD/KG
Import Trade Statistics of (HScode:961800)
The statistics show the ranking of
961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing(HScode:961800) worldwide in 2017
961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing(HScode:961800) worldwide in 2017
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the top importing countries worldwide in 2017
USA ranked first in imports of “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing” Total import value 87,016,520.0USD
USA is followed by Japan: 53,029,157.0USD
France: 32,763,846.0USD
Italy: 32,616,809.0USD
Germany: 28,906,624.0USD and
Rep. of Korea: 22,978,146.0USD
USA ranked first in imports of “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing” Total import value 87,016,520.0USD
USA is followed by Japan: 53,029,157.0USD
France: 32,763,846.0USD
Italy: 32,616,809.0USD
Germany: 28,906,624.0USD and
Rep. of Korea: 22,978,146.0USD
Buyer country’s “import Value per KG” of (HScode:961800)
The graph below is displaying:
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
“Import Value per KG in USD”(the total weight divides the total Import value)
It shows which country imports items at a higher price and comparison with other countries.
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Luxembourg ranked first in imports “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing” at the highest price of 45.18/KG Luxembourg is followed by China, Rep. of Korea, Iceland, Japan, and Ireland
Table data of “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing”(HS:961800)[Export]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Turkey | TUR | 2017 | Export | 9,473,111.0 | 1,500,711.0 | NaN | 1500711.0 | 6.31 |
1 | South Africa | ZAF | 2017 | Export | 811,803.0 | 110,447.0 | NaN | 110447.0 | 7.35 |
2 | Czechia | CZE | 2017 | Export | 803,635.0 | 42,563.0 | NaN | 42563.0 | 18.88 |
3 | Portugal | PRT | 2017 | Export | 788,365.0 | 25,747.0 | NaN | 25747.0 | 30.62 |
4 | Russian Federation | RUS | 2017 | Export | 713,787.0 | 44,132.0 | NaN | 44132.0 | 16.17 |
5 | Denmark | DNK | 2017 | Export | 6,643,778.0 | 262,753.0 | NaN | 262753.0 | 25.29 |
6 | Poland | POL | 2017 | Export | 6,305,172.0 | 357,213.0 | NaN | 357213.0 | 17.65 |
7 | Belgium | BEL | 2017 | Export | 5,267,491.0 | 300,594.0 | NaN | 300594.0 | 17.52 |
8 | Italy | ITA | 2017 | Export | 41,542,261.0 | 1,617,268.0 | NaN | 1617268.0 | 25.69 |
9 | China, Hong Kong SAR | HKG | 2017 | Export | 37,529,137.0 | 1,219,899.0 | NaN | 1219899.0 | 30.76 |
10 | Spain | ESP | 2017 | Export | 34,919,673.0 | 907,982.0 | NaN | 907982.0 | 38.46 |
11 | Romania | ROU | 2017 | Export | 3,102,113.0 | 135,945.0 | NaN | 135945.0 | 22.82 |
12 | Bulgaria | BGR | 2017 | Export | 297,633.0 | 80,296.0 | NaN | 80296.0 | 3.71 |
13 | China | CHN | 2017 | Export | 261,932,666.0 | 33,699,012.0 | NaN | 33699012.0 | 7.77 |
14 | Malaysia | MYS | 2017 | Export | 254,792.0 | 36,634.0 | NaN | 36634.0 | 6.96 |
15 | Netherlands | NLD | 2017 | Export | 25,222,460.0 | 1,183,119.0 | NaN | 1183119.0 | 21.32 |
16 | United Kingdom | GBR | 2017 | Export | 24,214,382.0 | 1,041,727.0 | NaN | 1041727.0 | 23.24 |
17 | Greece | GRC | 2017 | Export | 230,397.0 | 16,144.0 | NaN | 16144.0 | 14.27 |
18 | Colombia | COL | 2017 | Export | 211,368.0 | 13,545.0 | NaN | 13545.0 | 15.60 |
19 | Philippines | PHL | 2017 | Export | 200,836.0 | 79,133.0 | NaN | 79133.0 | 2.54 |
20 | Mexico | MEX | 2017 | Export | 20,326,451.0 | 2,016,089.0 | NaN | 2016089.0 | 10.08 |
21 | Germany | DEU | 2017 | Export | 20,199,121.0 | 974,330.0 | NaN | 974330.0 | 20.73 |
22 | Indonesia | IDN | 2017 | Export | 2,968,985.0 | 72,470.0 | NaN | 72470.0 | 40.97 |
23 | Brazil | BRA | 2017 | Export | 2,767,934.0 | 320,487.0 | NaN | 320487.0 | 8.64 |
24 | Rep. of Korea | KOR | 2017 | Export | 2,676,194.0 | 106,487.0 | NaN | 106487.0 | 25.13 |
25 | El Salvador | SLV | 2017 | Export | 2,281,556.0 | 62,478.0 | NaN | 62478.0 | 36.52 |
26 | Sweden | SWE | 2017 | Export | 2,195,379.0 | 113,771.0 | NaN | 113771.0 | 19.30 |
27 | Japan | JPN | 2017 | Export | 2,069,118.0 | 20,480.0 | NaN | 20480.0 | 101.03 |
28 | France | FRA | 2017 | Export | 19,620,335.0 | 786,148.0 | NaN | 786148.0 | 24.96 |
29 | Belarus | BLR | 2017 | Export | 165,400.0 | 123,062.0 | NaN | 123062.0 | 1.34 |
30 | Lithuania | LTU | 2017 | Export | 15,450,083.0 | 822,870.0 | NaN | 822870.0 | 18.78 |
31 | Oman | OMN | 2017 | Export | 107,654.0 | 16,265.0 | NaN | 16265.0 | 6.62 |
32 | Viet Nam | VNM | 2017 | Export | 1,986,351.0 | 82,387.0 | NaN | 82387.0 | 24.11 |
33 | India | IND | 2017 | Export | 1,754,977.0 | 90,787.0 | NaN | 90787.0 | 19.33 |
34 | Switzerland | CHE | 2017 | Export | 1,409,496.0 | 49,279.0 | NaN | 49279.0 | 28.60 |
35 | Singapore | SGP | 2017 | Export | 1,406,709.0 | 55,633.0 | NaN | 55633.0 | 25.29 |
36 | Austria | AUT | 2017 | Export | 1,312,905.0 | 58,420.0 | NaN | 58420.0 | 22.47 |
37 | Australia | AUS | 2017 | Export | 1,165,935.0 | 46,111.0 | NaN | 46111.0 | 25.29 |
Table data of “961800 – Tailors’ dummies and other lay figures; automata and other animated displays used for shop window dressing”(HS:961800)[Import]
Reporter | ISO | Year | Trade Flow | Trade Value (US$) | Netweight (kg) | Alt Qty | Alt Qty Unit | value/kg | |
---|---|---|---|---|---|---|---|---|---|
0 | Serbia | SRB | 2017 | Import | 992,922.0 | 74,016.0 | NaN | 74016.0 | 13.41 |
1 | Fiji | FJI | 2017 | Import | 96,375.0 | 17,153.0 | NaN | 17153.0 | 5.62 |
2 | Rep. of Moldova | MDA | 2017 | Import | 92,740.0 | 11,258.0 | NaN | 11258.0 | 8.24 |
3 | China | CHN | 2017 | Import | 9,647,917.0 | 239,197.0 | NaN | 239197.0 | 40.33 |
4 | Belgium | BEL | 2017 | Import | 9,447,257.0 | 1,072,372.0 | NaN | 1072372.0 | 8.81 |
5 | Switzerland | CHE | 2017 | Import | 9,181,188.0 | 469,314.0 | NaN | 469314.0 | 19.56 |
6 | USA | USA | 2017 | Import | 87,016,520.0 | 4,609,396.0 | NaN | 4609396.0 | 18.88 |
7 | Congo | COG | 2017 | Import | 85,334.0 | 85,241.0 | NaN | 85241.0 | 1.00 |
8 | Jordan | JOR | 2017 | Import | 834,091.0 | 375,611.0 | NaN | 375611.0 | 2.22 |
9 | Lithuania | LTU | 2017 | Import | 832,213.0 | 43,334.0 | NaN | 43334.0 | 19.20 |
10 | Belarus | BLR | 2017 | Import | 808,300.0 | 155,222.0 | NaN | 155222.0 | 5.21 |
11 | Australia | AUS | 2017 | Import | 8,962,481.0 | 474,756.0 | NaN | 474756.0 | 18.88 |
12 | Sri Lanka | LKA | 2017 | Import | 711,843.0 | 221,170.0 | NaN | 221170.0 | 3.22 |
13 | Luxembourg | LUX | 2017 | Import | 706,728.0 | 15,641.0 | NaN | 15641.0 | 45.18 |
14 | Finland | FIN | 2017 | Import | 703,585.0 | 35,497.0 | NaN | 35497.0 | 19.82 |
15 | Nigeria | NGA | 2017 | Import | 699,806.0 | 37,069.0 | NaN | 37069.0 | 18.88 |
16 | Slovakia | SVK | 2017 | Import | 691,457.0 | 34,227.0 | NaN | 34227.0 | 20.20 |
17 | Hungary | HUN | 2017 | Import | 679,648.0 | 94,914.0 | NaN | 94914.0 | 7.16 |
18 | Tunisia | TUN | 2017 | Import | 650,012.0 | 142,953.0 | NaN | 142953.0 | 4.55 |
19 | Myanmar | MMR | 2017 | Import | 62,775.0 | 32,308.0 | NaN | 32308.0 | 1.94 |
20 | Denmark | DNK | 2017 | Import | 6,470,622.0 | 342,758.0 | NaN | 342758.0 | 18.88 |
21 | Austria | AUT | 2017 | Import | 6,288,630.0 | 293,026.0 | NaN | 293026.0 | 21.46 |
22 | Gambia | GMB | 2017 | Import | 6,279.0 | 12,320.0 | NaN | 12320.0 | 0.51 |
23 | India | IND | 2017 | Import | 6,225,944.0 | 663,747.0 | NaN | 663747.0 | 9.38 |
24 | Ecuador | ECU | 2017 | Import | 593,792.0 | 113,502.0 | NaN | 113502.0 | 5.23 |
25 | Dominican Rep. | DOM | 2017 | Import | 580,387.0 | 30,744.0 | NaN | 30744.0 | 18.88 |
26 | Armenia | ARM | 2017 | Import | 567,689.0 | 70,964.0 | NaN | 70964.0 | 8.00 |
27 | Pakistan | PAK | 2017 | Import | 565,939.0 | 196,967.0 | NaN | 196967.0 | 2.87 |
28 | Uganda | UGA | 2017 | Import | 546,798.0 | 408,110.0 | NaN | 388952.0 | 1.34 |
29 | Japan | JPN | 2017 | Import | 53,029,157.0 | 2,369,101.0 | NaN | 2369101.0 | 22.38 |
30 | Costa Rica | CRI | 2017 | Import | 525,491.0 | 63,086.0 | NaN | 63086.0 | 8.33 |
31 | Uruguay | URY | 2017 | Import | 524,539.0 | 82,274.0 | NaN | 82274.0 | 6.38 |
32 | Oman | OMN | 2017 | Import | 517,986.0 | 134,029.0 | NaN | 134029.0 | 3.86 |
33 | Singapore | SGP | 2017 | Import | 5,858,326.0 | 310,324.0 | NaN | 310324.0 | 18.88 |
34 | Burkina Faso | BFA | 2017 | Import | 48,353.0 | 63,310.0 | NaN | 63310.0 | 0.76 |
35 | Mozambique | MOZ | 2017 | Import | 471,332.0 | 331,417.0 | NaN | 126914.0 | 1.42 |
36 | Ghana | GHA | 2017 | Import | 461,225.0 | 384,500.0 | NaN | 384500.0 | 1.20 |
37 | Georgia | GEO | 2017 | Import | 447,649.0 | 53,675.0 | NaN | 53675.0 | 8.34 |
38 | Honduras | HND | 2017 | Import | 442,668.0 | 83,911.0 | NaN | 83911.0 | 5.28 |
39 | South Africa | ZAF | 2017 | Import | 4,980,632.0 | 709,002.0 | NaN | 709002.0 | 7.02 |
40 | Sweden | SWE | 2017 | Import | 4,958,375.0 | 233,244.0 | NaN | 233244.0 | 21.26 |
41 | Poland | POL | 2017 | Import | 4,760,135.0 | 417,791.0 | NaN | 417791.0 | 11.39 |
42 | Turkey | TUR | 2017 | Import | 4,648,682.0 | 274,783.0 | NaN | 274783.0 | 16.92 |
43 | Mali | MLI | 2017 | Import | 4,615.0 | 11,593.0 | NaN | 11593.0 | 0.40 |
44 | Norway | NOR | 2017 | Import | 4,147,611.0 | 241,604.0 | NaN | 241604.0 | 17.17 |
45 | Iran | IRN | 2017 | Import | 394,023.0 | 135,221.0 | NaN | 135221.0 | 2.91 |
46 | El Salvador | SLV | 2017 | Import | 390,521.0 | 82,191.0 | NaN | 82191.0 | 4.75 |
47 | Iceland | ISL | 2017 | Import | 381,800.0 | 14,246.0 | NaN | 14246.0 | 26.80 |
48 | Nicaragua | NIC | 2017 | Import | 352,024.0 | 421,671.0 | NaN | 421671.0 | 0.83 |
49 | Kenya | KEN | 2017 | Import | 348,136.0 | 167,791.0 | NaN | 167791.0 | 2.07 |
50 | Mauritius | MUS | 2017 | Import | 345,801.0 | 50,784.0 | NaN | 50784.0 | 6.81 |
51 | Paraguay | PRY | 2017 | Import | 342,431.0 | 103,343.0 | NaN | 103343.0 | 3.31 |
52 | Bulgaria | BGR | 2017 | Import | 339,259.0 | 37,420.0 | NaN | 37420.0 | 9.07 |
53 | France | FRA | 2017 | Import | 32,763,846.0 | 2,272,445.0 | NaN | 2272445.0 | 14.42 |
54 | Italy | ITA | 2017 | Import | 32,616,809.0 | 1,867,532.0 | NaN | 1867532.0 | 17.47 |
55 | Cyprus | CYP | 2017 | Import | 310,295.0 | 18,280.0 | NaN | 18280.0 | 16.97 |
56 | Chile | CHL | 2017 | Import | 3,591,937.0 | 328,496.0 | NaN | 328496.0 | 10.93 |
57 | Malaysia | MYS | 2017 | Import | 3,569,981.0 | 590,300.0 | NaN | 590300.0 | 6.05 |
58 | Indonesia | IDN | 2017 | Import | 3,384,306.0 | 449,295.0 | NaN | 449295.0 | 7.53 |
59 | Portugal | PRT | 2017 | Import | 3,281,010.0 | 161,311.0 | NaN | 161311.0 | 20.34 |
60 | Kyrgyzstan | KGZ | 2017 | Import | 3,050,932.0 | 1,081,120.0 | NaN | 1081120.0 | 2.82 |
61 | Germany | DEU | 2017 | Import | 28,906,624.0 | 2,071,026.0 | NaN | 2071026.0 | 13.96 |
62 | Cameroon | CMR | 2017 | Import | 277,877.0 | 83,010.0 | NaN | 83010.0 | 3.35 |
63 | Côte d’Ivoire | CIV | 2017 | Import | 238,336.0 | 117,945.0 | NaN | 117945.0 | 2.02 |
64 | Bosnia Herzegovina | BIH | 2017 | Import | 236,023.0 | 31,941.0 | NaN | 31941.0 | 7.39 |
65 | Rep. of Korea | KOR | 2017 | Import | 22,978,146.0 | 705,496.0 | NaN | 705496.0 | 32.57 |
66 | Nepal | NPL | 2017 | Import | 211,016.0 | 11,177.0 | NaN | 11177.0 | 18.88 |
67 | Benin | BEN | 2017 | Import | 21,691.0 | 51,521.0 | NaN | 51521.0 | 0.42 |
68 | Algeria | DZA | 2017 | Import | 2,785,747.0 | 1,075,504.0 | NaN | 1075504.0 | 2.59 |
69 | Israel | ISR | 2017 | Import | 2,702,000.0 | 143,129.0 | NaN | 143129.0 | 18.88 |
70 | Czechia | CZE | 2017 | Import | 2,686,806.0 | 163,411.0 | NaN | 163411.0 | 16.44 |
71 | Morocco | MAR | 2017 | Import | 2,658,755.0 | 571,512.0 | NaN | 571512.0 | 4.65 |
72 | Viet Nam | VNM | 2017 | Import | 2,220,777.0 | 114,978.0 | NaN | 114978.0 | 19.31 |
73 | Romania | ROU | 2017 | Import | 2,039,894.0 | 277,457.0 | NaN | 277457.0 | 7.35 |
74 | Spain | ESP | 2017 | Import | 19,623,961.0 | 1,524,867.0 | NaN | 1524867.0 | 12.87 |
75 | United Kingdom | GBR | 2017 | Import | 19,051,482.0 | 1,813,176.0 | NaN | 1813176.0 | 10.51 |
76 | Madagascar | MDG | 2017 | Import | 187,644.0 | 114,410.0 | NaN | 114410.0 | 1.64 |
77 | Netherlands | NLD | 2017 | Import | 18,183,051.0 | 1,906,379.0 | NaN | 1906379.0 | 9.54 |
78 | Bolivia (Plurinational State of) | BOL | 2017 | Import | 179,653.0 | 41,251.0 | NaN | 41251.0 | 4.36 |
79 | Namibia | NAM | 2017 | Import | 177,697.0 | 16,309.0 | NaN | 16309.0 | 10.90 |
80 | Albania | ALB | 2017 | Import | 153,366.0 | 30,446.0 | NaN | 30446.0 | 5.04 |
81 | Senegal | SEN | 2017 | Import | 143,158.0 | 187,047.0 | NaN | 187047.0 | 0.77 |
82 | Russian Federation | RUS | 2017 | Import | 13,117,571.0 | 1,041,649.0 | NaN | 1041649.0 | 12.59 |
83 | China, Hong Kong SAR | HKG | 2017 | Import | 11,798,811.0 | 900,769.0 | NaN | 900769.0 | 13.10 |
84 | United Rep. of Tanzania | TZA | 2017 | Import | 106,064.0 | 108,507.0 | NaN | 108507.0 | 0.98 |
85 | TFYR of Macedonia | MKD | 2017 | Import | 101,943.0 | 13,289.0 | NaN | 13289.0 | 7.67 |
86 | Mexico | MEX | 2017 | Import | 10,426,813.0 | 531,514.0 | NaN | 531514.0 | 19.62 |
87 | Greece | GRC | 2017 | Import | 1,884,871.0 | 243,882.0 | NaN | 243882.0 | 7.73 |
88 | Egypt | EGY | 2017 | Import | 1,851,319.0 | 98,067.0 | NaN | 98067.0 | 18.88 |
89 | Philippines | PHL | 2017 | Import | 1,830,504.0 | 548,952.0 | NaN | 548952.0 | 3.33 |
90 | New Zealand | NZL | 2017 | Import | 1,819,059.0 | 96,358.0 | NaN | 96358.0 | 18.88 |
91 | Kuwait | KWT | 2017 | Import | 1,753,114.0 | 113,224.0 | NaN | 113224.0 | 15.48 |
92 | Lebanon | LBN | 2017 | Import | 1,753,105.0 | 249,103.0 | NaN | 249103.0 | 7.04 |
93 | Colombia | COL | 2017 | Import | 1,579,587.0 | 439,332.0 | NaN | 439332.0 | 3.60 |
94 | Togo | TGO | 2017 | Import | 1,551,926.0 | 2,182,445.0 | NaN | 62150.0 | 0.71 |
95 | Argentina | ARG | 2017 | Import | 1,518,210.0 | 133,665.0 | NaN | 133665.0 | 11.36 |
96 | Peru | PER | 2017 | Import | 1,356,966.0 | 117,644.0 | NaN | 117644.0 | 11.53 |
97 | Kazakhstan | KAZ | 2017 | Import | 1,234,493.0 | 152,947.0 | NaN | 152947.0 | 8.07 |
98 | Ukraine | UKR | 2017 | Import | 1,204,653.0 | 148,274.0 | NaN | 148274.0 | 8.12 |
99 | Guatemala | GTM | 2017 | Import | 1,100,840.0 | 222,464.0 | NaN | 222464.0 | 4.95 |
100 | Ireland | IRL | 2017 | Import | 1,034,082.0 | 47,506.0 | NaN | 47506.0 | 21.77 |