Machinery and transport equipment (% 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. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.

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 Singapore 50.27 2016
2 Korea 48.73 2016
3 Germany 44.13 2016
4 Hungary 43.69 2016
5 Slovak Republic 41.97 2016
6 Israel 40.71 2016
7 Japan 39.58 2016
8 Sweden 35.45 2016
9 Philippines 34.83 2016
10 Czech Republic 34.75 2013
11 Norway 34.65 2016
12 United Kingdom 34.02 2016
13 France 33.53 2016
14 Switzerland 32.92 2016
15 Romania 32.91 2016
16 Malaysia 31.00 2016
17 Thailand 30.71 2013
18 Italy 29.51 2016
19 Mexico 29.50 2016
20 Netherlands 29.29 2016
21 Austria 29.06 2016
22 Vietnam 28.95 2015
23 United States 28.94 2016
24 Finland 27.88 2016
25 Hong Kong SAR, China 26.04 2016
26 China 24.53 2016
27 Denmark 24.29 2016
28 Spain 23.96 2016
29 Poland 23.18 2016
30 Canada 19.54 2016
31 Slovenia 19.43 2016
32 Turkey 19.30 2016
33 India 18.93 2016
34 Ukraine 18.41 2016
35 Brazil 18.38 2016
36 Estonia 18.38 2016
37 Bulgaria 18.35 2016
38 Croatia 17.23 2016
39 Luxembourg 16.79 2015
40 Indonesia 16.71 2016
41 Belgium 15.97 2016
42 Latvia 15.94 2016
43 Iran 15.80 2016
44 Portugal 15.68 2016
45 Serbia 15.24 2016
46 Botswana 15.13 1997
47 Azerbaijan 14.75 2016
48 South Africa 14.60 2016
49 Australia 13.86 2016
50 Cyprus 12.97 2016
51 Belarus 12.95 2016
52 Lithuania 12.93 2016
53 Tunisia 12.69 2015
54 New Zealand 12.09 2016
55 North Macedonia 10.39 2010
56 Montenegro 10.06 2016
57 Iceland 9.53 2016
58 Bosnia and Herzegovina 9.04 2016
59 Costa Rica 9.04 2016
60 Venezuela 8.95 1997
61 Papua New Guinea 8.76 2001
62 Pakistan 8.48 2006
63 Argentina 8.35 2002
64 Russia 8.24 2016
65 Greece 8.22 2016
66 Lao PDR 8.04 1999
67 Congo 7.85 2009
68 Barbados 7.76 1997
69 Nigeria 7.18 1996
70 Cuba 6.98 1989
71 Peru 6.78 2016
72 Paraguay 6.64 2010
73 Moldova 6.64 2016
74 Kazakhstan 6.60 2016
75 Morocco 5.90 2015
76 Kenya 5.78 2016
77 Ethiopia 5.45 2015
78 Zimbabwe 5.31 2015
79 Jamaica 5.28 1968
80 Zambia 5.27 1994
81 Saudi Arabia 4.60 2016
82 Colombia 4.55 2016
83 Mauritius 4.47 2016
84 Mozambique 4.32 1973
85 Belize 4.20 1992
86 Ireland 4.18 2016
87 Uruguay 4.18 2014
88 Sudan 4.16 2001
89 Qatar 4.13 2016
90 Jordan 3.70 2016
91 Oman 3.66 2016
92 Bahrain 3.62 2013
93 Myanmar 3.56 2013
94 Egypt 3.38 2016
95 United Arab Emirates 3.35 1985
96 Ecuador 3.20 2016
97 Chile 2.58 2016
98 Macao SAR, China 2.56 1999
99 Lebanon 2.49 2007
100 Kuwait 2.41 2016
101 Syrian Arab Republic 2.31 1979
102 Bangladesh 2.27 2011
103 Senegal 2.22 2014
104 Somalia 2.17 1986
105 Tanzania 2.13 2015
106 Armenia 1.94 2016
107 Central African Republic 1.91 1990
108 Sri Lanka 1.91 2016
109 El Salvador 1.90 1998
110 Côte d'Ivoire 1.84 1997
111 Fiji 1.53 2015
112 Mongolia 1.35 2016
113 Malawi 1.19 2012
114 Burkina Faso 1.19 1983
115 Albania 1.16 2016
116 Guatemala 1.13 1988
117 Tonga 0.93 1981
118 Honduras 0.91 1996
119 Eritrea 0.81 2016
120 The Gambia 0.79 1995
121 Nepal 0.78 2011
122 Uganda 0.76 1989
123 Kyrgyz Republic 0.75 2016
124 Bolivia 0.73 2012
125 Eswatini 0.67 2011
126 Panama 0.64 2016
127 Algeria 0.60 2015
128 Nicaragua 0.59 1985
129 Ghana 0.59 2003
130 Namibia 0.53 1994
131 Madagascar 0.52 2006
132 Dominican Republic 0.45 1984
133 Malta 0.36 2014
134 Trinidad and Tobago 0.27 2006
135 Yemen 0.25 2014
136 Cameroon 0.21 2002
137 Cambodia 0.13 2000
138 Puerto Rico 0.03 2006
139 Georgia 0.01 2016
140 The Bahamas 0.01 1997
141 Benin 0.00 1981
141 Gabon 0.00 1995
141 Libya 0.00 1980
141 St. Lucia 0.00 1997
141 Burundi 0.00 1991
146 Iraq -3.45 2013

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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