Agriculture, value added per worker (constant 2010 US$) - Country Ranking

Definition: Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Agriculture corresponds to the International Standard Industrial Classification (ISIC) tabulation categories A and B (revision 3) or tabulation category A (revision 4), and includes forestry, hunting, and fishing as well as cultivation of crops and livestock production.

Source: Derived using World Bank national accounts data and OECD National Accounts data files, and employment data from International Labour Organization, ILOSTAT database.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Argentina 2,513,119.00 2018
2 Norway 127,689.20 2018
3 Iceland 120,233.30 2016
4 New Zealand 100,703.00 2017
5 Sweden 97,612.04 2018
6 Canada 95,687.12 2018
7 Israel 91,547.24 2018
8 Australia 82,837.88 2018
9 Netherlands 80,778.68 2018
10 United States 79,054.79 2017
11 Finland 75,835.85 2018
12 France 62,855.11 2018
13 Malta 57,958.48 2010
14 Denmark 51,469.80 2018
15 Puerto Rico 50,660.91 2010
16 Belgium 50,061.89 2018
17 Spain 49,892.04 2018
18 United Kingdom 46,691.55 2018
19 Germany 46,326.09 2018
20 Italy 44,063.69 2018
21 Slovak Republic 42,006.96 2018
22 Brunei 41,664.00 2018
23 Suriname 40,071.41 2018
24 Samoa 39,189.08 2018
25 Cyprus 37,483.35 2018
26 Austria 35,257.71 2018
27 Switzerland 28,237.12 2018
28 Czech Republic 26,732.78 2018
29 Luxembourg 26,291.31 2018
30 Ireland 25,305.62 2018
31 Estonia 24,999.81 2018
32 Saudi Arabia 24,681.18 2018
33 Uruguay 24,056.36 2018
34 Japan 23,933.83 2017
35 Hungary 23,388.29 2018
36 Montenegro 22,090.51 2018
37 Venezuela 21,322.13 2014
38 Greece 21,264.78 2018
39 Slovenia 21,130.31 2018
40 Algeria 20,820.70 2018
41 Korea 19,434.25 2018
42 Malaysia 18,008.21 2018
43 Latvia 17,658.03 2018
44 The Bahamas 17,513.70 2018
45 Jordan 16,860.47 2018
46 Portugal 16,278.73 2018
47 Russia 15,820.58 2018
48 Turkey 15,493.41 2018
49 Croatia 15,128.38 2018
50 Eswatini 13,836.57 2018
51 Oman 13,363.64 2018
52 Barbados 13,240.81 2016
53 Brazil 13,213.68 2018
54 Hong Kong SAR, China 12,638.61 2018
55 Chile 12,369.55 2018
56 South Africa 11,816.77 2018
57 Kuwait 11,724.59 2018
58 Lithuania 11,627.20 2018
59 Belarus 11,533.03 2018
60 Qatar 11,509.53 2018
61 United Arab Emirates 11,243.53 2018
62 Costa Rica 10,553.10 2018
63 Dominican Republic 10,458.48 2018
64 Iran 10,284.19 2017
65 Bulgaria 10,269.87 2018
66 Mauritius 10,192.95 2018
67 Bahrain 10,085.52 2018
68 Tunisia 8,667.82 2018
69 St. Vincent and the Grenadines 7,939.01 2018
70 Guyana 7,701.20 2018
71 Kazakhstan 6,950.93 2018
72 Paraguay 6,892.71 2018
73 Namibia 6,867.02 2018
74 Bosnia and Herzegovina 6,863.56 2018
75 Serbia 6,836.34 2018
76 Lebanon 6,598.91 2018
77 Romania 6,449.25 2018
78 North Macedonia 6,284.52 2018
79 Trinidad and Tobago 6,123.69 2018
80 Colombia 6,080.51 2018
81 Albania 5,896.50 2018
82 Poland 5,879.54 2018
83 Mexico 5,816.00 2018
84 Singapore 5,768.75 2018
85 Tonga 5,631.62 2016
86 Nigeria 5,588.89 2018
87 St. Lucia 5,550.57 2018
88 Egypt 5,370.96 2018
89 Ukraine 5,099.26 2018
90 Gabon 4,865.72 2018
91 Mongolia 4,853.08 2018
92 Turkmenistan 4,814.48 2010
93 Sudan 4,777.43 2018
94 Belize 4,489.50 2018
95 Ecuador 4,259.46 2018
96 Panama 4,225.49 2018
97 Uzbekistan 4,025.30 2018
98 Jamaica 3,910.43 2018
99 China 3,830.37 2018
100 Morocco 3,752.27 2018
101 Indonesia 3,729.61 2018
102 Cabo Verde 3,513.77 2018
103 Thailand 3,344.01 2018
104 Cuba 3,154.85 2018
105 Guatemala 3,047.27 2018
106 Ghana 2,934.46 2018
107 Sri Lanka 2,788.62 2018
108 Senegal 2,781.75 2018
109 Moldova 2,748.96 2018
110 Peru 2,744.63 2018
111 Fiji 2,667.02 2018
112 Vanuatu 2,598.31 2014
113 Comoros 2,569.54 2018
114 Philippines 2,556.93 2018
115 Côte d'Ivoire 2,528.82 2018
116 El Salvador 2,412.68 2018
117 Azerbaijan 2,328.15 2018
118 Honduras 2,155.36 2018
119 Bolivia 2,058.44 2018
120 Nicaragua 1,978.16 2018
121 Papua New Guinea 1,968.49 2017
122 Burkina Faso 1,826.44 2018
123 Mauritania 1,814.02 2018
124 São Tomé and Principe 1,807.62 2018
125 The Gambia 1,742.86 2018
126 Myanmar 1,712.72 2018
127 India 1,712.62 2018
128 Pakistan 1,683.81 2018
129 Equatorial Guinea 1,679.67 2018
130 Georgia 1,647.02 2018
131 Bhutan 1,602.73 2017
132 Cambodia 1,596.75 2018
133 Tajikistan 1,563.42 2018
134 Kyrgyz Republic 1,560.61 2018
135 Botswana 1,543.80 2018
136 Angola 1,511.24 2017
137 Chad 1,420.00 2018
138 Iraq 1,317.65 2018
139 Kenya 1,288.86 2018
140 Timor-Leste 1,270.34 2017
141 Sierra Leone 1,240.99 2018
142 Mali 1,217.96 2018
143 Vietnam 1,212.03 2018
144 Togo 1,160.44 2018
145 Benin 1,142.45 2018
146 Cameroon 1,080.03 2018
147 Liberia 1,022.66 2018
148 Congo 1,001.86 2018
149 Bangladesh 976.45 2018
150 Guinea-Bissau 859.53 2018
151 Afghanistan 843.90 2018
152 Yemen 836.86 2018
153 Haiti 797.06 2018
154 Lao PDR 784.59 2018
155 Guinea 717.30 2018
156 Tanzania 669.56 2017
157 Rwanda 602.05 2018
158 Nepal 599.05 2018
159 Ethiopia 581.03 2018
160 Uganda 569.79 2018
161 Niger 540.61 2018
162 Zambia 476.35 2018
163 Malawi 470.22 2017
164 Mozambique 432.40 2018
165 Central African Republic 408.67 2018
166 Zimbabwe 404.99 2018
167 Lesotho 384.41 2018
168 Madagascar 338.08 2018
169 Dem. Rep. Congo 317.96 2018
170 Burundi 184.94 2018

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Development Relevance: Labor productivity is used to assess a country's economic ability to create and sustain decent employment opportunities with fair and equitable remuneration. Productivity increases obtained through investment, trade, technological progress, or changes in work organization can increase social protection and reduce poverty, which in turn reduce vulnerable employment and working poverty. Productivity increases do not guarantee these improvements, but without them—and the economic growth they bring—improvements are highly unlikely. Please also see GDP per person employed (constant 2011 PPP $) [SL.GDP.PCAP.EM.KD], which is a key measure for monitoring the Sustainable Development Goal 8 of promoting sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.

Limitations and Exceptions: For comparability of individual sectors labor productivity is estimated according to national accounts conventions. However, there are still significant limitations on the availability of reliable data. Information on consistent series of output is not easily available, especially in low- and middle-income countries, because the definition, coverage, and methodology are not always consistent across countries. For more details, see Agriculture, value added (constant 2010 US$) [NV.AGR.TOTL.KD], Industry, value added (constant 2010 US$) [NV.IND.TOTL.KD], and Services, etc., value added (constant 2010 US$) [NV.SRV.TOTL.KD].

Other Notes: Caution should be used for aggregates (population-weighted averages); world totals can be presented without a large economy such as USA.

Statistical Concept and Methodology: Value added per worker is calculated by dividing value added of a sector by the number employed in the sector. Gross domestic product (GDP) represents the sum of value added by all producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Value added by industry is normally measured at basic prices, while total GDP is measured at purchaser prices. Data on employment are modeled estimates by the International Labour Organization (ILO) ILOSTAT database. The concept of employment generally refers to people above a certain age who worked, or who held a job, during a reference period. Employment data include both full-time and part-time workers.

Aggregation method: Weighted average

Base Period: 2010

Periodicity: Annual