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 2,758,231.00 2019
2 Iceland 126,734.10 2019
3 Canada 113,112.70 2019
4 Singapore 110,206.90 2019
5 Norway 108,139.70 2019
6 Israel 102,158.60 2019
7 United States 100,061.60 2019
8 Australia 86,838.25 2019
9 Sweden 83,760.46 2019
10 Netherlands 72,233.72 2019
11 Puerto Rico 70,774.12 2015
12 Finland 61,532.37 2019
13 Belgium 57,329.89 2019
14 United Kingdom 55,829.36 2019
15 Luxembourg 55,631.55 2019
16 Saudi Arabia 54,126.03 2019
17 France 53,556.05 2019
18 Denmark 52,013.94 2019
19 New Zealand 50,780.25 2019
20 Germany 43,714.52 2019
21 Spain 43,005.10 2019
22 Malta 40,527.80 2019
23 Italy 40,310.63 2019
24 Slovak Republic 37,596.57 2019
25 Jordan 35,860.14 2019
26 Switzerland 35,053.52 2019
27 Ireland 33,720.35 2019
28 Brunei 33,307.75 2019
29 United Arab Emirates 33,053.05 2019
30 Czech Republic 32,342.08 2019
31 Austria 29,518.53 2019
32 Hong Kong SAR, China 29,309.71 2019
33 Guyana 28,162.85 2019
34 Estonia 27,497.21 2019
35 Cyprus 27,407.66 2019
36 Uruguay 24,098.36 2019
37 Hungary 23,944.27 2019
38 Slovenia 22,597.71 2019
39 Suriname 22,482.43 2019
40 Korea 20,571.91 2019
41 Oman 19,974.08 2019
42 Algeria 19,430.25 2019
43 Montenegro 19,384.18 2019
44 Japan 17,763.23 2019
45 Greece 17,729.97 2019
46 The Bahamas 16,679.13 2019
47 Malaysia 16,575.97 2019
48 Qatar 16,455.01 2019
49 Croatia 16,127.91 2019
50 Portugal 15,863.71 2019
51 Kuwait 15,112.49 2019
52 Lithuania 15,045.00 2019
53 Latvia 14,946.70 2019
54 Russia 14,201.45 2019
55 Trinidad and Tobago 12,383.79 2019
56 Tonga 12,351.84 2019
57 Turkey 12,336.58 2019
58 Chile 11,936.93 2019
59 Bahrain 11,772.55 2019
60 Mauritius 11,566.74 2019
61 Bulgaria 11,381.68 2019
62 St. Vincent and the Grenadines 11,227.50 2019
63 Dominican Republic 11,209.91 2019
64 Costa Rica 10,836.64 2019
65 Iran 10,738.99 2019
66 Brazil 9,992.42 2019
67 Eswatini 9,912.46 2019
68 Tunisia 9,636.78 2019
69 North Macedonia 8,282.85 2019
70 Lebanon 8,037.94 2019
71 Uzbekistan 7,806.85 2019
72 Egypt 7,679.67 2019
73 Kazakhstan 7,643.37 2019
74 South Africa 7,269.74 2019
75 Belarus 7,249.97 2019
76 Poland 6,560.00 2019
77 Fiji 6,441.60 2019
78 Serbia 6,334.18 2019
79 Turkmenistan 6,263.66 2015
80 Belize 6,249.29 2019
81 Moldova 6,205.20 2019
82 Armenia 6,135.49 2019
83 Paraguay 5,954.40 2019
84 Mexico 5,892.80 2019
85 Panama 5,749.19 2019
86 Mongolia 5,705.23 2019
87 China 5,609.01 2019
88 Nigeria 5,591.20 2019
89 Iraq 5,492.51 2019
90 Bosnia and Herzegovina 5,280.32 2019
91 Colombia 5,278.19 2019
92 Gabon 5,277.75 2019
93 Albania 5,133.28 2019
94 Romania 5,016.89 2019
95 Ukraine 4,887.79 2019
96 Namibia 4,867.50 2019
97 Jamaica 4,826.86 2019
98 Samoa 4,732.20 2019
99 Comoros 4,303.67 2019
100 St. Lucia 4,302.90 2019
101 Ecuador 4,170.76 2019
102 Cuba 4,031.43 2018
103 Cabo Verde 3,987.86 2019
104 Mauritania 3,936.68 2019
105 Sudan 3,885.41 2019
106 Indonesia 3,600.51 2019
107 Philippines 3,530.52 2019
108 Morocco 3,379.18 2019
109 Guatemala 3,263.14 2019
110 Sri Lanka 3,248.12 2019
111 Thailand 3,216.55 2019
112 Ghana 3,208.37 2019
113 São Tomé and Principe 3,183.52 2019
114 El Salvador 3,136.00 2019
115 Peru 3,084.50 2019
116 Côte d'Ivoire 2,906.02 2019
117 Papua New Guinea 2,857.52 2018
118 Vanuatu 2,853.67 2015
119 Senegal 2,814.46 2019
120 Nicaragua 2,741.29 2019
121 Pakistan 2,634.47 2019
122 Bolivia 2,486.10 2019
123 Honduras 2,335.58 2019
124 Tajikistan 2,300.21 2019
125 Azerbaijan 2,251.12 2019
126 Kyrgyz Republic 2,245.99 2019
127 Benin 2,203.84 2019
128 Sierra Leone 2,117.68 2019
129 India 2,075.83 2019
130 Haiti 2,043.49 2019
131 Georgia 1,881.61 2019
132 Botswana 1,880.55 2019
133 Kenya 1,795.35 2019
134 Vietnam 1,734.94 2019
135 Burkina Faso 1,707.68 2019
136 Angola 1,573.96 2019
137 Bhutan 1,568.85 2019
138 The Gambia 1,562.07 2019
139 Cambodia 1,547.43 2019
140 Yemen 1,515.97 2018
141 Mali 1,481.28 2019
142 Timor-Leste 1,395.91 2019
143 Myanmar 1,389.59 2019
144 Togo 1,364.10 2019
145 Chad 1,320.16 2019
146 Afghanistan 1,284.51 2019
147 Bangladesh 1,284.17 2019
148 Guinea-Bissau 1,244.71 2019
149 Equatorial Guinea 1,217.79 2019
150 Lao PDR 1,184.22 2019
151 Congo 1,156.66 2019
152 Cameroon 1,120.47 2019
153 Liberia 905.84 2019
154 Guinea 900.68 2019
155 Tanzania 868.11 2019
156 Ethiopia 803.98 2019
157 Uganda 753.25 2019
158 Niger 709.92 2019
159 Nepal 704.89 2019
160 Rwanda 633.86 2019
161 Central African Republic 482.01 2019
162 Zimbabwe 477.79 2018
163 Mozambique 462.20 2019
164 Djibouti 462.11 2019
165 Dem. Rep. Congo 416.82 2019
166 Madagascar 369.56 2019
167 Malawi 328.99 2019
168 Zambia 316.67 2019
169 Lesotho 305.09 2019
170 Burundi 234.09 2019

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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