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 2013
2 Eswatini 85.89 2011
3 Rwanda 74.54 1999
4 Congo 74.54 2009
5 Tonga 73.80 1981
6 Lesotho 71.56 1985
7 Central African Republic 71.14 1993
8 Tanzania 70.05 2015
9 Sierra Leone 69.11 1993
10 Cuba 67.03 1989
11 Malawi 66.99 2012
12 Sudan 66.25 2001
13 Armenia 64.34 2016
14 Uganda 63.91 2000
15 Burkina Faso 63.68 1983
16 Eritrea 59.16 2016
17 Somalia 58.94 1986
18 Dominican Republic 58.76 1984
19 Benin 58.42 1981
20 Belize 57.33 1992
21 Nicaragua 56.89 1985
22 Panama 56.56 2016
23 The Bahamas 53.98 1998
24 Yemen 53.18 2014
25 Papua New Guinea 51.80 2001
26 St. Lucia 48.99 1997
27 Bolivia 48.92 2012
28 Iceland 48.02 2016
29 Jamaica 47.51 1996
30 Paraguay 46.24 2010
31 Gabon 45.77 1995
32 Lao PDR 45.68 1999
33 Niger 45.56 2015
34 Fiji 45.17 2015
35 Zambia 44.37 1994
36 Uruguay 43.99 2014
37 Nepal 43.77 2011
38 Mozambique 43.65 1973
39 Georgia 42.22 2016
40 Chile 42.16 2016
41 Honduras 42.03 1996
42 Côte d'Ivoire 42.01 1997
43 Moldova 40.93 2016
44 Namibia 40.86 2015
45 Cyprus 39.12 2016
46 Kenya 38.99 2016
47 New Zealand 38.98 2016
48 Costa Rica 38.39 2016
49 Guatemala 37.81 1988
50 Montenegro 37.06 2016
51 Cameroon 37.04 2002
52 Ethiopia 36.62 2015
53 Sri Lanka 36.07 2016
54 Barbados 35.88 1997
55 Ecuador 34.83 2016
56 Senegal 34.77 2014
57 The Gambia 32.51 2004
58 Ghana 32.49 2003
59 Philippines 32.27 2016
60 Colombia 32.25 2016
61 Macao SAR, China 31.72 2015
62 Morocco 31.49 2015
63 Hong Kong SAR, China 31.49 2016
64 Argentina 31.15 2002
65 Ukraine 31.15 2016
66 Greece 31.00 2016
67 Libya 30.87 1980
68 Jordan 30.74 2016
69 Nigeria 30.27 1996
70 Zimbabwe 29.73 2015
71 Indonesia 29.63 2016
72 North Macedonia 29.49 2010
73 El Salvador 29.19 1998
74 Syrian Arab Republic 27.70 2005
75 Lebanon 27.45 2007
76 Serbia 27.18 2016
77 Peru 26.95 2016
78 Australia 26.04 2016
79 Azerbaijan 25.10 2016
80 Kazakhstan 24.84 2016
81 Croatia 24.83 2016
82 Mongolia 24.74 2016
83 Botswana 24.32 2016
84 Iraq 24.07 2013
85 Brazil 23.34 2016
86 Mexico 22.64 2016
87 Pakistan 22.48 2006
88 Tunisia 22.33 2015
89 South Africa 22.18 2016
90 Venezuela 22.04 1998
91 Lithuania 21.49 2016
92 Latvia 20.78 2016
93 Belarus 20.65 2016
94 Thailand 20.10 2013
95 Bosnia and Herzegovina 19.92 2016
96 Norway 19.33 2016
97 Spain 19.32 2016
98 Netherlands 18.38 2016
99 United Kingdom 17.95 2016
100 Bulgaria 17.91 2016
101 France 17.79 2016
102 Portugal 17.29 2016
103 Vietnam 16.97 2015
104 Mauritius 16.79 2016
105 Malta 16.75 2009
106 Poland 16.63 2016
107 Canada 15.94 2016
108 Russia 15.86 2016
109 Belgium 15.80 2016
110 United States 15.51 2016
111 United Arab Emirates 14.50 1985
112 Albania 14.28 2016
113 Denmark 14.23 2016
114 Estonia 14.04 2016
115 Kyrgyz Republic 13.98 2016
116 Bangladesh 13.54 2011
117 Bahrain 13.25 2013
118 Egypt 13.16 2016
119 Saudi Arabia 13.00 2016
120 Turkey 12.54 2016
121 Malaysia 12.53 2016
122 Japan 12.38 2016
123 Israel 12.02 2016
124 China 11.83 2016
125 Oman 11.68 2016
126 Italy 11.40 2016
127 Trinidad and Tobago 11.10 2006
128 Iran 11.03 2016
129 Luxembourg 10.95 2015
130 Austria 10.75 2016
131 Algeria 10.62 2015
132 Romania 10.23 2016
133 Finland 10.10 2016
134 India 9.81 2016
135 Hungary 9.52 2016
136 Switzerland 9.30 2016
137 Ireland 8.98 2016
138 Puerto Rico 8.51 2006
139 Czech Republic 8.29 2013
140 Kuwait 7.79 2016
141 Sweden 7.75 2016
142 Germany 7.49 2016
143 Slovenia 7.07 2016
144 Korea 6.66 2016
145 Cambodia 6.56 2000
146 Slovak Republic 6.14 2016
147 Singapore 5.45 2016
148 Myanmar 5.33 2013
149 Qatar 2.12 2016
150 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