Textiles and clothing (% of value added in manufacturing) - Country Ranking

Definition: Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.

Source: United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Cambodia 86.53 2000
2 Syrian Arab Republic 78.54 2005
3 Bangladesh 56.81 2018
4 Myanmar 42.04 2018
5 Albania 36.58 2019
6 Mauritius 34.78 2019
7 Sri Lanka 31.55 2019
8 Madagascar 30.17 2006
9 Pakistan 28.86 2006
10 El Salvador 28.16 1998
11 The Gambia 22.49 2004
12 Honduras 22.29 1996
13 North Macedonia 19.89 2019
14 Burkina Faso 18.59 1983
15 Tunisia 17.59 2019
16 Kenya 16.87 2019
17 Moldova 16.31 2019
18 Turkey 16.28 2019
19 Vietnam 16.03 2019
20 Lao PDR 15.72 2017
21 Mozambique 15.64 1973
22 Uzbekistan 15.28 2019
23 Portugal 14.73 2019
24 Benin 14.38 1981
25 Lesotho 13.56 1985
26 Somalia 12.91 1986
27 Bosnia and Herzegovina 12.90 2019
28 Nicaragua 12.88 1985
29 Indonesia 12.63 2019
30 Fiji 11.69 2019
31 St. Lucia 11.51 1997
32 Niger 11.23 2018
33 Nigeria 11.09 1996
34 Guatemala 10.83 1988
35 Eritrea 10.16 2018
36 Côte d'Ivoire 10.08 1997
37 Bulgaria 10.05 2019
38 Libya 10.03 1980
39 Ethiopia 10.03 2015
40 China 9.99 2018
41 Mongolia 9.44 2019
42 Romania 9.38 2019
43 Italy 8.98 2019
44 India 8.58 2019
45 Peru 7.80 2019
46 Jordan 7.74 2018
47 Macao SAR, China 7.74 2017
48 Dominican Republic 7.51 1984
49 Lithuania 7.44 2019
50 Serbia 7.12 2019
51 Rwanda 7.05 2018
52 Colombia 7.04 2019
53 Jamaica 6.86 1996
54 Yemen 6.69 2014
55 Paraguay 6.61 2010
56 Ghana 6.39 2015
57 Brazil 6.20 2019
58 Belarus 6.12 2019
59 Thailand 6.00 2018
60 Croatia 5.88 2019
61 Namibia 5.73 2015
62 Argentina 5.63 2019
63 Cameroon 5.56 2002
64 Eswatini 5.55 2011
65 Nepal 5.54 2019
66 Estonia 5.40 2019
67 Lebanon 5.39 2014
68 Morocco 5.37 2019
69 Bahrain 5.30 2018
70 Uruguay 5.26 2016
71 Latvia 4.76 2019
72 Cuba 4.61 1989
73 Tonga 4.28 1981
74 Cabo Verde 4.24 2017
75 Panama 4.19 2001
76 Sudan 4.13 2006
77 Tanzania 4.12 2018
78 Kyrgyz Republic 4.06 2019
79 Uganda 4.04 2000
80 Belize 3.81 1992
81 Azerbaijan 3.79 2019
82 Egypt 3.69 2018
83 Greece 3.63 2019
84 United Arab Emirates 3.57 2018
85 Bolivia 3.55 2014
86 Armenia 3.54 2019
87 Spain 3.41 2019
88 Iran 3.36 2018
89 Philippines 3.36 2019
90 Slovak Republic 3.36 2019
91 Hong Kong SAR, China 3.35 2019
92 Barbados 3.31 1997
93 Ecuador 3.24 2019
94 Georgia 3.17 2019
95 Korea 3.08 2019
96 Ukraine 3.08 2019
97 Poland 3.06 2019
98 Slovenia 2.99 2019
99 Saudi Arabia 2.71 2019
100 Mexico 2.64 2019
101 France 2.62 2019
102 Kuwait 2.56 2018
103 Costa Rica 2.55 2019
104 Venezuela 2.40 1998
105 United Kingdom 2.28 2019
106 New Zealand 2.28 2019
107 Czech Republic 2.26 2019
108 Australia 2.21 2019
109 Hungary 2.06 2019
110 Malaysia 2.05 2019
111 Botswana 2.04 2019
112 Chile 1.96 2019
113 Montenegro 1.94 2019
114 Israel 1.92 2019
115 Belgium 1.83 2019
116 Dem. Rep. Congo 1.80 2009
116 Congo 1.80 2009
118 South Africa 1.79 2019
119 Russia 1.75 2019
120 Japan 1.67 2018
121 The Bahamas 1.67 1998
122 Zimbabwe 1.66 2017
123 Netherlands 1.61 2019
124 Norway 1.58 2019
125 Austria 1.55 2019
126 Qatar 1.54 2018
127 Malawi 1.54 2012
128 Cyprus 1.45 2019
129 Canada 1.28 2019
130 Denmark 1.19 2019
131 Gabon 1.15 1995
132 Germany 1.14 2019
133 Iceland 1.14 2019
134 United States 1.13 2019
135 Zambia 1.11 2015
136 Sierra Leone 1.09 1993
137 Papua New Guinea 1.05 2001
138 Switzerland 0.91 2019
139 Algeria 0.88 2017
140 Senegal 0.88 2014
141 Kazakhstan 0.85 2019
142 Sweden 0.73 2019
143 Puerto Rico 0.71 2006
144 Malta 0.61 2019
145 Burundi 0.61 2015
146 Trinidad and Tobago 0.60 2006
147 Iraq 0.57 2019
148 Finland 0.44 2019
149 Ireland 0.18 2018
150 Singapore 0.17 2019
151 Oman 0.12 2019
152 Luxembourg 0.00 2018
153 Central African Republic -0.39 1993

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Development Relevance: Firms typically use multiple processes to produce a product. For example, an automobile manufacturer engages in forging, welding, and painting as well as advertising, accounting, and other service activities. Collecting data at such a detailed level is not practical, nor is it useful to record production data at the highest level of a large, multiplant, multiproduct firm. The ISIC has therefore adopted as the definition of an establishment "an enterprise or part of an enterprise which independently engages in one, or predominantly one, kind of economic activity at or from one location . . . for which data are available . . ." (United Nations 1990). By design, this definition matches the reporting unit required for the production accounts of the United Nations System of National Accounts. The ISIC system is described in the United Nations' International Standard Industrial Classification of All Economic Activities, Third Revision (1990). The discussion of the ISIC draws on Ryten (1998).

Limitations and Exceptions: In establishing classifications systems compilers must define both the types of activities to be described and the units whose activities are to be reported. There are many possibilities, and the choices affect how the statistics can be interpreted and how useful they are in analyzing economic behavior. The ISIC emphasizes commonalities in the production process and is explicitly not intended to measure outputs (for which there is a newly developed Central Product Classification). Nevertheless, the ISIC views an activity as defined by "a process resulting in a homogeneous set of products."

Statistical Concept and Methodology: The data on the distribution of manufacturing value added by industry are provided by the United Nations Industrial Development Organization (UNIDO). UNIDO obtains the data from a variety of national and international sources, including the United Nations Statistics Division, the World Bank, the Organisation for Economic Co-operation and Development, and the International Monetary Fund. To improve comparability over time and across countries, UNIDO supplements these data with information from industrial censuses, statistics from national and international organizations, unpublished data that it collects in the field, and estimates by the UNIDO Secretariat. Nevertheless, coverage may be incomplete, particularly for the informal sector. When direct information on inputs and outputs is not available, estimates may be used, which may result in errors in industry totals. Moreover, countries use different reference periods (calendar or fiscal year) and valuation methods (basic or producer prices) to estimate value added.

Periodicity: Annual