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 51.04 2011
4 Mauritius 36.60 2016
5 Sri Lanka 34.17 2016
6 Albania 32.38 2016
7 Madagascar 30.17 2006
8 Pakistan 28.86 2006
9 El Salvador 28.16 1998
10 Myanmar 23.03 2013
11 The Gambia 22.49 2004
12 Honduras 22.29 1996
13 Lao PDR 21.97 1999
14 Fiji 21.70 2015
15 Burkina Faso 18.59 1983
16 Moldova 17.73 2016
17 Tunisia 17.59 2015
18 North Macedonia 17.50 2010
19 Turkey 17.08 2016
20 Mongolia 15.73 2016
21 Mozambique 15.64 1973
22 Vietnam 15.37 2015
23 Portugal 15.19 2016
24 Eritrea 15.19 2016
25 Benin 14.38 1981
26 Kenya 13.78 2016
27 Lesotho 13.56 1985
28 Somalia 12.91 1986
29 Nicaragua 12.88 1985
30 Bosnia and Herzegovina 12.19 2016
31 Bulgaria 12.01 2016
32 St. Lucia 11.51 1997
33 Niger 11.47 2015
34 Nigeria 11.09 1996
35 Indonesia 11.08 2016
36 Guatemala 10.83 1988
37 Romania 10.71 2016
38 Côte d'Ivoire 10.08 1997
39 Libya 10.03 1980
40 Ethiopia 10.03 2015
41 China 9.99 2016
42 Peru 9.78 2016
43 Zambia 9.59 1994
44 Italy 9.44 2016
45 Macao SAR, China 9.00 2015
46 India 8.51 2016
47 Morocco 7.77 2015
48 Lithuania 7.61 2016
49 Dominican Republic 7.51 1984
50 Colombia 7.23 2016
51 Jamaica 6.86 1996
52 Thailand 6.81 2013
53 Yemen 6.69 2014
54 Paraguay 6.61 2010
55 Serbia 6.60 2016
56 Ghana 6.44 2003
57 Brazil 6.41 2016
58 Estonia 6.14 2016
59 Eswatini 6.04 2011
60 Croatia 5.91 2016
61 Namibia 5.73 2015
62 Argentina 5.67 2002
63 Belarus 5.65 2016
64 Cameroon 5.56 2002
65 Nepal 5.41 2011
66 Latvia 5.28 2016
67 Bolivia 5.21 2012
68 Jordan 5.05 2016
69 Bahrain 5.05 2013
70 Zimbabwe 4.86 2015
71 Hong Kong SAR, China 4.70 2016
72 Cuba 4.61 1989
73 Lebanon 4.56 2007
74 Egypt 4.42 2016
75 Tonga 4.28 1981
76 Sudan 4.19 2001
77 Uruguay 4.18 2014
78 Tanzania 4.12 2015
79 Uganda 4.04 2000
80 Ecuador 3.84 2016
81 Belize 3.81 1992
82 Saudi Arabia 3.80 2016
83 Spain 3.79 2016
84 Kyrgyz Republic 3.71 2016
85 Canada 3.70 2016
86 Greece 3.69 2016
87 Costa Rica 3.56 2016
88 Korea 3.46 2016
89 Kuwait 3.40 2016
90 Barbados 3.31 1997
91 Slovak Republic 3.24 2016
92 Panama 3.15 2016
93 Slovenia 3.11 2016
94 Philippines 3.10 2016
95 Poland 3.09 2016
96 France 2.93 2016
97 Mexico 2.86 2016
98 Georgia 2.73 2016
99 Belgium 2.58 2016
100 Iran 2.58 2016
101 Czech Republic 2.54 2013
102 Australia 2.43 2016
103 Venezuela 2.40 1998
104 New Zealand 2.39 2016
105 Malta 2.36 2014
106 Botswana 2.23 2016
107 Chile 2.16 2016
108 United Kingdom 2.13 2016
109 Iraq 2.10 2013
110 Israel 2.05 2016
111 Hungary 2.01 2016
112 Rwanda 2.01 1999
113 Ukraine 2.00 2016
114 Malaysia 1.94 2016
115 Montenegro 1.94 2016
116 Austria 1.93 2016
117 Russia 1.81 2016
118 Congo 1.80 2009
119 South Africa 1.79 2016
120 Qatar 1.78 2016
121 Netherlands 1.69 2016
122 Armenia 1.68 2016
123 The Bahamas 1.67 1998
124 Japan 1.59 2016
125 Malawi 1.54 2012
126 Cyprus 1.43 2016
127 Finland 1.41 2016
128 United States 1.29 2016
129 Norway 1.28 2016
130 Germany 1.26 2016
131 Iceland 1.15 2016
132 United Arab Emirates 1.15 1985
133 Gabon 1.15 1995
134 Sierra Leone 1.09 1993
135 Papua New Guinea 1.05 2001
136 Switzerland 1.00 2016
137 Azerbaijan 0.98 2016
138 Kazakhstan 0.94 2016
139 Algeria 0.88 2015
140 Senegal 0.88 2014
141 Denmark 0.84 2016
142 Sweden 0.73 2016
143 Puerto Rico 0.71 2006
144 Burundi 0.61 2013
145 Trinidad and Tobago 0.60 2006
146 Oman 0.46 2016
147 Singapore 0.25 2016
148 Ireland 0.15 2016
149 Luxembourg 0.00 2015
150 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