Chemicals (% 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. Chemicals correspond to ISIC division 24.

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 Puerto Rico 61.81 2006
2 Qatar 56.61 2018
3 Ireland 42.69 2014
4 Trinidad and Tobago 38.67 2006
5 Oman 37.24 2019
6 Venezuela 34.28 1998
7 Belgium 32.30 2019
8 Kuwait 31.42 2018
9 Barbados 30.35 1997
10 Saudi Arabia 28.92 2019
11 Switzerland 28.12 2016
12 The Bahamas 27.57 1998
13 Denmark 26.04 2019
14 Nigeria 25.71 1996
15 Niger 24.77 2002
16 Singapore 24.77 2019
17 Myanmar 24.50 2018
18 Iran 23.64 2018
19 Israel 22.38 2010
20 United Arab Emirates 21.57 2018
21 Syrian Arab Republic 21.52 1995
22 Belarus 20.43 2019
23 Sierra Leone 20.21 1993
24 Jamaica 18.77 1996
25 Senegal 18.58 2014
26 Guatemala 18.41 1988
27 India 17.81 2019
28 Jordan 17.42 2018
29 Netherlands 17.13 2019
30 Colombia 16.77 2019
31 Bahrain 16.10 2018
32 El Salvador 16.06 1998
33 Libya 16.06 1980
34 United States 15.80 2019
35 Paraguay 14.55 2010
36 Belize 14.12 1992
37 Pakistan 14.03 2006
38 Brazil 13.87 2019
39 Argentina 13.60 2019
40 France 13.44 2019
41 Sweden 13.33 2019
42 Chile 13.22 2019
43 Finland 13.07 2019
44 Morocco 12.93 2019
45 Indonesia 12.81 2019
46 Uruguay 12.75 2016
47 Cyprus 12.67 2019
48 Somalia 12.65 1986
49 Egypt 12.37 2018
50 Côte d'Ivoire 12.02 1997
51 Hong Kong SAR, China 11.96 2019
52 Spain 11.85 2019
53 Japan 11.37 2018
54 Uganda 11.07 2000
55 China 10.81 2018
56 Korea 10.74 2019
57 Ethiopia 10.62 2015
58 Greece 10.25 2019
59 Cameroon 10.16 2002
60 Malawi 10.16 2012
61 Zambia 10.08 2015
62 Germany 10.05 2019
63 Hungary 10.03 2019
64 Rwanda 9.96 2018
65 Canada 9.85 2019
66 Lithuania 9.80 2019
67 Malaysia 9.52 2019
68 Uzbekistan 9.51 2019
69 Russia 9.43 2019
70 United Kingdom 9.33 2019
71 Eritrea 9.25 2018
72 Central African Republic 9.25 1993
73 Georgia 9.14 2019
74 Zimbabwe 9.14 2017
75 Ecuador 9.14 2019
76 Italy 9.04 2019
77 Tunisia 8.98 2019
78 Kenya 8.53 2019
79 Bolivia 8.42 2014
80 Cuba 8.26 1989
81 Malta 8.25 2019
82 Mexico 8.21 2019
83 Serbia 8.18 2019
84 Austria 8.16 2019
85 Norway 8.11 2018
86 Nicaragua 8.06 1985
87 Turkey 7.99 2019
88 Australia 7.90 2019
89 Bosnia and Herzegovina 7.73 2019
90 Thailand 7.68 2018
91 Lebanon 7.64 2007
92 Bulgaria 7.52 2019
93 Namibia 7.35 2015
94 Cabo Verde 7.25 2017
95 Croatia 7.24 2019
96 Costa Rica 7.11 2019
97 South Africa 7.00 2019
98 Ukraine 6.91 2019
99 Nepal 6.85 2019
100 Peru 6.74 2019
101 Kazakhstan 6.59 2019
102 Benin 6.57 1981
103 Ghana 6.32 2015
104 Poland 6.19 2019
105 Fiji 6.14 2019
106 North Macedonia 6.00 2019
107 Lesotho 5.98 1985
108 Philippines 5.81 2019
109 Dominican Republic 5.56 1984
110 Portugal 5.45 2019
111 Mozambique 5.31 1973
112 Czech Republic 5.31 2019
113 Honduras 5.16 1996
114 Moldova 5.14 2019
115 Azerbaijan 5.03 2019
116 Iraq 4.95 2019
117 Gabon 4.79 1995
118 New Zealand 4.73 2019
119 Botswana 4.60 1997
120 Panama 4.59 2001
121 Sri Lanka 4.47 2019
122 Romania 4.40 2019
123 Montenegro 4.32 2019
124 Mauritius 4.31 1996
125 Slovenia 4.27 2018
126 Vietnam 4.27 2019
127 Tanzania 4.20 2018
128 Sudan 4.07 2006
129 Estonia 4.06 2019
130 The Gambia 3.90 2004
131 St. Lucia 3.56 1997
132 Papua New Guinea 3.25 2001
133 Latvia 3.16 2019
134 Bangladesh 3.07 2018
135 Armenia 2.83 2019
136 Burundi 2.79 2015
137 Luxembourg 2.56 2018
138 Slovak Republic 2.46 2019
139 Mongolia 2.34 2019
140 Lao PDR 2.27 2017
141 Albania 2.17 2019
142 Madagascar 2.06 2006
143 Algeria 1.79 2017
144 Tonga 1.72 1981
145 Yemen 1.59 2014
146 Iceland 1.41 2019
147 Macao SAR, China 1.18 2010
148 Burkina Faso 0.86 1983
149 Eswatini 0.63 2011
150 Kyrgyz Republic 0.46 2019
151 Cambodia 0.13 2000
152 Congo -5.43 2009
152 Dem. Rep. Congo -5.43 2009

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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