economic2022

Weighted mean applied tariff rate

Name: Weighted mean applied tariff rate
Creator: World Bank World Development Indicators
Keywords: trending-statistics-research, daily-10, applied-tariffs

Compare weighted mean applied tariff rate across 143 ISO-mapped countries or territories using one fixed 2022 official-source slice.

Source: World Bank World Development Indicators•143 countries

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Key Insights

Global Average

5.6%

Median: 3.7%

Countries Covered

143

with available data

Highest

Bermuda

29.5%

Lowest

Hong Kong

0.0%

Top 5 Countries

1Bermuda29.5%

2Solomon Islands20.7%

3Republic of the Congo18.2%

4Equatorial Guinea18.2%

5Cameroon18.1%

By Region

Key Findings

•143 ISO-mapped countries or territories have a finite 2022 observation.
•Bermuda has the highest published value (29.52 %).
•Hong Kong has the lowest published value (0 %).

Country Rankings

Top 10 Countries

Bottom 10 Countries

Data Analysis

Value Distribution

How countries are distributed across the value range

Low (0.0%)High (29.5%)

Regional Comparison

Average values by world region (Global avg: 5.6%)

About This Statistic

Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

MapTheory retains one fixed year, unit and explicit source slice. Only finite ISO-mapped observations are included; aggregates, missing values, non-ISO geographies and conflicting duplicates are excluded. No values are estimated or imputed by MapTheory.

Methodology

Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

Full Data

Rank ↑	Country ↕	Value ↕
1	Bermuda	29.5%
2	Solomon Islands	20.7%
3	Republic of the Congo	18.2%
4	Equatorial Guinea	18.2%
5	Cameroon	18.1%
6	Belize	18.1%
7	Chad	16.8%
8	Gabon	16.6%
9	Republic of The Gambia	16.4%
10	Bahamas	16.3%
11	Barbados	14.6%
12	Central African Republic	14.5%
13	Sierra Leone	13.7%
14	Togo	13.6%
15	Grenada	13.0%
16	Venezuela	12.8%
17	Guinea	12.6%
18	Cape Verde	12.6%
19	Ghana	12.5%
20	Kenya	11.7%
21	Guinea-Bissau	11.7%
22	Vanuatu	11.5%
23	Nepal	11.2%
24	Maldives	11.1%
25	Rwanda	11.1%
26	Bangladesh	10.6%
27	Benin	10.2%
28	Nigeria	9.3%
29	Guyana	9.3%
30	Algeria	9.3%
31	Jamaica	9.2%
32	Saint Vincent and the Grenadines	9.2%
33	Cuba	9.2%
34	Burundi	9.0%
35	Mali	8.9%
36	Angola	8.9%
37	Madagascar	8.7%
38	Mauritania	8.7%
39	United Republic of Tanzania	8.6%
40	Senegal	8.4%
41	Niger	8.4%
42	Uganda	7.9%
43	Suriname	7.8%
44	Pakistan	7.6%
45	Trinidad and Tobago	7.5%
46	Brazil	7.3%
47	Cote d'Ivoire	7.3%
48	Burkina Faso	7.3%
49	Cambodia	7.2%
50	Argentina	6.5%
51	Tonga	6.4%
52	Liberia	6.2%
53	Panama	5.9%
54	South Korea	5.7%
55	Azerbaijan	5.5%
56	Saudi Arabia	5.4%
57	Mongolia	5.4%
58	Ecuador	5.2%
59	Bolivia	5.1%
60	Uruguay	4.9%
61	Bhutan	4.8%
62	South Africa	4.7%
63	Paraguay	4.6%
64	India	4.6%
65	Türkiye	4.3%
66	Zambia	4.1%
67	Bosnia and Herzegovina	4.0%
68	Kuwait	4.0%
69	Dominican Republic	4.0%
70	Qatar	3.7%
71	Thailand	3.7%
72	Bahrain	3.7%
73	Namibia	3.6%
74	Malaysia	3.4%
75	Lesotho	3.4%
76	Botswana	3.2%
77	Jordan	3.2%
78	Eswatini	3.0%
79	Kazakhstan	2.9%
80	Montenegro	2.9%
81	Colombia	2.8%
82	Israel	2.6%
83	Guatemala	2.4%
84	The Republic of North Macedonia	2.3%
85	Norway	2.3%
86	People's Republic of China	2.2%
87	El Salvador	2.2%
88	Oman	2.1%
89	Honduras	2.1%
90	Nicaragua	2.0%
91	Ukraine	1.9%
92	Indonesia	1.8%
93	Philippines	1.8%
94	New Zealand	1.7%
95	Japan	1.6%
96	Iceland	1.6%
97	Mexico	1.6%
98	United States of America	1.5%
99	Lao People's Democratic Republic	1.4%
100	Canada	1.4%
101	Bulgaria	1.3%
102	Croatia	1.3%
103	Cyprus	1.3%
104	Czech Republic	1.3%
105	Denmark	1.3%
106	Estonia	1.3%
107	Finland	1.3%
108	France	1.3%
109	Germany	1.3%
110	Greece	1.3%
111	Hungary	1.3%
112	Ireland	1.3%
113	Italy	1.3%
114	Latvia	1.3%
115	Lithuania	1.3%
116	Malta	1.3%
117	Netherlands	1.3%
118	Poland	1.3%
119	Portugal	1.3%
120	Romania	1.3%
121	Slovakia	1.3%
122	Slovenia	1.3%
123	Spain	1.3%
124	Sweden	1.3%
125	Austria	1.3%
126	Belgium	1.3%
127	Costa Rica	1.3%
128	Switzerland	1.3%
129	Seychelles	1.3%
130	Mauritius	1.2%
131	Moldova, Republic of	1.2%
132	Vietnam	1.1%
133	United Kingdom	1.0%
134	Australia	1.0%
135	Myanmar	0.8%
136	Peru	0.7%
137	Chile	0.5%
138	Georgia	0.4%
139	Albania	0.3%
140	Brunei Darussalam	0.0%
141	Hong Kong	0.0%
142	Macao	0.0%
143	Singapore	0.0%

Showing 143 of 143 countries

Topics

Data Source

This data comes from World Bank World Development Indicators (2022).

View Original Source