Food, beverages and tobacco (% 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. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.

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 Burundi 87.63 2015
2 Eswatini 86.38 2011
3 Dem. Rep. Congo 74.54 2009
3 Congo 74.54 2009
5 Tonga 73.80 1981
6 Lesotho 71.56 1985
7 Central African Republic 71.14 1993
8 Sierra Leone 69.11 1993
9 Tanzania 67.27 2018
10 Cuba 67.03 1989
11 Malawi 66.99 2012
12 Sudan 66.13 2006
13 Eritrea 65.98 2018
14 Uganda 63.91 2000
15 Burkina Faso 63.68 1983
16 Zimbabwe 62.59 2017
17 Cabo Verde 60.60 2017
18 Somalia 58.94 1986
19 Dominican Republic 58.76 1984
20 Benin 58.42 1981
21 Rwanda 57.47 2018
22 Belize 57.33 1992
23 Nicaragua 56.89 1985
24 Armenia 56.71 2019
25 Panama 56.56 2001
26 The Bahamas 53.98 1998
27 Yemen 53.18 2014
28 Papua New Guinea 51.80 2001
29 Mongolia 50.09 2019
30 Ecuador 49.45 2019
31 Bolivia 49.39 2014
32 Fiji 49.06 2019
33 St. Lucia 48.99 1997
34 Iceland 48.02 2019
35 Uruguay 47.60 2016
36 Jamaica 47.51 1996
37 Paraguay 46.24 2010
38 Gabon 45.77 1995
39 Nepal 44.89 2019
40 Niger 43.91 2018
41 Macao SAR, China 43.85 2017
42 Mozambique 43.65 1973
43 Honduras 42.03 1996
44 Côte d'Ivoire 42.01 1997
45 Namibia 40.86 2015
46 Moldova 39.65 2019
47 Kenya 39.43 2019
48 Georgia 39.27 2019
49 Mauritius 39.21 2019
50 Costa Rica 38.58 2019
51 Chile 38.33 2019
52 Guatemala 37.81 1988
53 Montenegro 37.06 2019
54 Cameroon 37.04 2002
55 Ethiopia 36.62 2015
56 Barbados 35.88 1997
57 New Zealand 35.80 2019
58 Cyprus 35.17 2019
59 Senegal 34.77 2014
60 Colombia 34.74 2019
61 Ghana 34.58 2015
62 Lao PDR 33.36 2017
63 Philippines 32.78 2019
64 Hong Kong SAR, China 32.62 2019
65 The Gambia 32.51 2004
66 Lebanon 32.32 2014
67 Zambia 32.05 2015
68 Argentina 31.91 2019
69 Sri Lanka 31.43 2019
70 Libya 30.87 1980
71 Greece 30.80 2019
72 Nigeria 30.27 1996
73 El Salvador 29.19 1998
74 Peru 27.85 2019
75 Syrian Arab Republic 27.70 2005
76 Jordan 27.15 2018
77 Ukraine 25.52 2019
78 Australia 24.95 2019
79 Croatia 23.79 2019
80 Botswana 23.76 2019
81 Myanmar 23.31 2018
82 Serbia 23.14 2019
83 Indonesia 22.71 2019
84 North Macedonia 22.59 2019
85 Belarus 22.49 2019
86 Pakistan 22.48 2006
87 Tunisia 22.33 2019
88 Norway 22.27 2019
89 South Africa 22.18 2019
90 Azerbaijan 22.13 2019
91 Venezuela 22.04 1998
92 Iraq 21.83 2019
93 Kazakhstan 21.64 2019
94 Brazil 20.94 2019
95 Mexico 20.44 2019
96 Thailand 19.99 2018
97 France 19.34 2017
98 Spain 19.18 2019
99 Kyrgyz Republic 19.03 2019
100 Lithuania 18.62 2019
101 Latvia 18.06 2019
102 Albania 17.06 2019
103 Netherlands 16.92 2019
104 Morocco 16.91 2019
105 Poland 16.56 2019
106 Canada 16.54 2019
107 Portugal 16.51 2019
108 Malta 16.34 2019
109 Belgium 16.28 2019
110 Egypt 16.10 2018
111 Bulgaria 16.07 2019
112 Bosnia and Herzegovina 15.89 2019
113 Uzbekistan 15.43 2019
114 Bangladesh 15.42 2018
115 United States 15.13 2019
116 Russia 14.34 2019
117 Israel 13.43 2019
118 United Kingdom 13.33 2019
119 Saudi Arabia 13.14 2019
120 Japan 13.11 2018
121 Vietnam 12.86 2019
122 Estonia 12.85 2019
123 Malaysia 12.53 2019
124 Iran 12.16 2018
125 China 11.83 2018
126 Romania 11.78 2019
127 Denmark 11.69 2019
128 Italy 11.16 2019
129 Trinidad and Tobago 11.10 2006
130 Turkey 10.96 2019
131 India 10.68 2019
132 Algeria 10.62 2017
133 Austria 10.59 2019
134 Hungary 10.36 2019
135 Luxembourg 9.25 2019
136 United Arab Emirates 8.96 2018
137 Switzerland 8.93 2019
138 Finland 8.51 2019
139 Puerto Rico 8.51 2006
140 Germany 7.79 2019
141 Czech Republic 7.74 2019
142 Ireland 7.19 2018
143 Sweden 7.11 2019
144 Oman 7.11 2019
145 Slovenia 6.74 2019
146 Korea 6.61 2019
147 Cambodia 6.56 2000
148 Slovak Republic 6.20 2019
149 Kuwait 6.17 2018
150 Singapore 3.95 2019
151 Qatar 2.75 2018
152 Bahrain 1.23 2018
153 Madagascar 0.49 2006

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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