Trade in a Bottle: Identifying Import Bottlenecks in International Trade

Country Matrix

For 2017, the matrix below shows Nepal's number of import bottlenecks for different combinations of minimum import share (%) and minimum import value (USD). Red parentheses show bottlenecks from Danger Zone countries, and lime square brackets show bottlenecks involving Critical Goods.

Nepal

Year: 2017(4 in Danger Zone)[2 Critical Goods]
Value \ Share>= 30%>= 40%>= 50%>= 60%>= 70%>= 80%>= 90%
>= 10 mln USD129(4)[2]123(4)[2]111(1)[2]101(1)[2]85(1)[2]69[2]48[2]
>= 50 mln USD28(1)[2]27(1)[2]23[2]23[2]20[2]18[2]16[2]
>= 100 mln USD16(1)[2]16(1)[2]14[2]14[2]13[2]11[2]9[2]
>= 200 mln USD6[2]6[2]6[2]6[2]6[2]5[2]5[2]
>= 500 mln USD1[1]1[1]1[1]1[1]1[1]1[1]1[1]

Danger Zone Bottlenecks (4 records, >= 30% share, >= 10 mln USD)

#Partner HS Code HS DescriptionYearShare (%) Value (USD)
1Ukraine1512Sun-flower seed, safflower or cotton-seed oil and their fractions; whether or not refined, but not chemically modified201778.27%46,781,631
2Saudi Arabia3901Polymers of ethylene, in primary forms201746.53%44,537,986
3United Arab Emirates7108Gold (including gold plated with platinum) unwrought or in semi-manufactured forms, or in powder form201742.49%111,331,786
4Saudi Arabia3902Polymers of propylene or of other olefins, in primary forms201740.93%30,425,600

Partner frequency summary:

Saudi Arabia: 2 occurrences

Ukraine: 1 occurrence

United Arab Emirates: 1 occurrence

Legend:

(n)

The number in red parentheses indicates bottlenecks from countries flagged in the Danger Zone.

[n]

The number in lime square brackets indicates bottlenecks involving HS codes flagged in Critical Goods.