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 59.26 2019
2 Korea 48.33 2019
3 Japan 45.20 2018
4 Germany 43.62 2019
5 Slovak Republic 42.15 2019
6 Philippines 39.59 2019
7 Czech Republic 39.21 2019
8 Israel 38.56 2019
9 Hungary 38.12 2019
10 Romania 37.34 2019
11 United Kingdom 35.90 2019
12 Sweden 35.80 2019
13 Mexico 33.66 2019
14 France 33.03 2019
15 Switzerland 32.18 2019
16 Malaysia 31.41 2019
17 Vietnam 31.25 2019
18 Netherlands 31.16 2019
19 Thailand 30.26 2018
20 Italy 29.90 2019
21 Denmark 29.63 2019
22 Austria 29.59 2019
23 United States 28.72 2019
24 Norway 28.48 2019
25 Finland 27.19 2019
26 Hong Kong SAR, China 26.11 2019
27 China 24.53 2018
28 Canada 24.51 2019
29 North Macedonia 23.98 2019
30 Spain 23.79 2019
31 Slovenia 23.12 2019
32 Poland 22.44 2019
33 Turkey 20.50 2019
34 Estonia 19.82 2019
35 India 19.64 2019
36 Bulgaria 19.24 2019
37 Belarus 19.15 2019
38 Australia 18.68 2019
39 Ukraine 18.00 2019
40 Iran 17.72 2018
41 Portugal 17.24 2019
42 Brazil 17.14 2019
43 New Zealand 16.54 2019
44 Belgium 16.45 2019
45 Croatia 15.99 2019
46 Indonesia 15.90 2019
47 Lithuania 15.58 2019
48 Latvia 15.20 2019
49 Botswana 15.13 1997
50 Malta 14.67 2019
51 Cyprus 14.61 2019
52 South Africa 14.60 2019
53 Luxembourg 14.20 2019
54 Russia 13.26 2019
55 Serbia 13.22 2019
56 United Arab Emirates 13.11 2018
57 Tunisia 12.69 2019
58 Iceland 12.66 2019
59 Uzbekistan 10.34 2019
60 Argentina 10.21 2019
61 Montenegro 10.06 2019
62 Moldova 9.13 2019
63 Venezuela 8.95 1997
64 Bosnia and Herzegovina 8.94 2019
65 Papua New Guinea 8.76 2001
66 Pakistan 8.48 2006
67 Azerbaijan 7.94 2019
68 Dem. Rep. Congo 7.85 2009
68 Congo 7.85 2009
70 Barbados 7.76 1997
71 Nigeria 7.18 1996
72 Kazakhstan 7.04 2019
73 Greece 7.03 2019
74 Peru 7.01 2019
75 Cuba 6.98 1989
76 Paraguay 6.64 2010
77 Bahrain 5.76 2018
78 Cabo Verde 5.53 2017
79 Egypt 5.50 2018
80 Ethiopia 5.45 2015
81 Jamaica 5.28 1968
82 Zambia 5.27 1994
83 Oman 4.95 2019
84 Uruguay 4.87 2016
85 Chile 4.78 2019
86 Costa Rica 4.54 2019
87 Mozambique 4.32 1973
88 Belize 4.20 1992
89 Morocco 4.19 2019
90 Mauritius 4.18 2019
91 Saudi Arabia 4.18 2019
92 Sudan 4.13 2006
93 Ecuador 3.86 2019
94 Colombia 3.72 2019
95 Kenya 3.61 2019
96 Bangladesh 3.58 2018
97 Zimbabwe 3.48 2017
98 Kuwait 3.36 2018
99 Jordan 3.22 2018
100 Armenia 2.98 2019
101 Georgia 2.82 2019
102 Panama 2.75 2001
103 Lebanon 2.49 2007
104 Albania 2.44 2019
105 Iraq 2.39 2019
106 Qatar 2.37 2018
107 Syrian Arab Republic 2.31 1979
108 Senegal 2.22 2014
109 Somalia 2.17 1986
110 Central African Republic 1.91 1990
111 El Salvador 1.90 1998
112 Côte d'Ivoire 1.84 1997
113 Tanzania 1.75 2018
114 Fiji 1.62 2019
115 Macao SAR, China 1.50 2010
116 Sri Lanka 1.40 2019
117 Malawi 1.19 2012
118 Burkina Faso 1.19 1983
119 Kyrgyz Republic 1.17 2019
120 Guatemala 1.13 1988
121 Tonga 0.93 1981
122 Lao PDR 0.92 2017
123 Honduras 0.91 1996
124 Bolivia 0.88 2014
125 Nepal 0.85 2019
126 Ghana 0.79 2015
127 The Gambia 0.79 1995
128 Uganda 0.76 1989
129 Eswatini 0.71 2011
130 Mongolia 0.63 2019
131 Algeria 0.60 2017
132 Nicaragua 0.59 1985
133 Namibia 0.53 1994
134 Madagascar 0.52 2006
135 Dominican Republic 0.45 1984
136 Myanmar 0.37 2018
137 Trinidad and Tobago 0.27 2006
138 Ireland 0.26 2018
139 Yemen 0.25 2014
140 Cameroon 0.21 2002
141 Eritrea 0.16 2018
142 Cambodia 0.13 2000
143 Puerto Rico 0.03 2006
144 The Bahamas 0.01 1997
145 Burundi 0.00 1991
145 Libya 0.00 1980
145 Gabon 0.00 1995
145 Benin 0.00 1981
145 St. Lucia 0.00 1997

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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