Services, 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. Services corresponds to the International Standard Industrial Classification (ISIC) tabulation categories G-P (revision 3) or tabulation categories G-U (revision 4), and includes wholesale and retail trade and restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social and personal services.

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 Luxembourg 194,519.70 2019
2 Switzerland 145,914.50 2019
3 Macao SAR, China 141,709.80 2019
4 United States 121,014.00 2019
5 Ireland 115,864.80 2019
6 Norway 110,012.00 2019
7 Australia 98,656.75 2015
8 Denmark 94,843.16 2019
9 Belgium 90,392.34 2019
10 Sweden 89,555.52 2019
11 Hong Kong SAR, China 88,769.98 2019
12 France 86,120.73 2019
13 Qatar 85,838.27 2019
14 Singapore 83,842.52 2019
15 Iceland 83,512.71 2019
16 Austria 82,115.66 2019
17 United Kingdom 81,410.31 2019
18 Finland 81,104.06 2019
19 Netherlands 79,074.64 2019
20 Italy 77,966.93 2019
21 Canada 73,930.04 2019
22 Germany 73,425.51 2019
23 Israel 72,112.13 2019
24 New Zealand 66,711.88 2019
25 Japan 64,961.30 2019
26 Spain 59,823.38 2019
27 Puerto Rico 59,042.71 2015
28 The Bahamas 54,989.81 2019
29 Malta 54,266.59 2015
30 United Arab Emirates 51,207.26 2019
31 Greece 48,693.63 2019
32 Korea 47,614.84 2019
33 Slovenia 45,965.14 2019
34 Portugal 41,822.11 2019
35 Kuwait 39,464.47 2019
36 Cyprus 38,182.96 2019
37 Saudi Arabia 38,001.88 2019
38 Czech Republic 36,969.70 2019
39 Estonia 36,056.87 2019
40 Slovak Republic 35,793.90 2019
41 Turkey 34,045.77 2019
42 Brunei 33,847.45 2019
43 Bahrain 33,255.57 2019
44 Poland 31,701.14 2019
45 Panama 31,218.71 2019
46 Latvia 31,155.10 2019
47 Lithuania 31,102.15 2019
48 Samoa 30,142.51 2019
49 Croatia 29,432.23 2019
50 Trinidad and Tobago 29,003.76 2019
51 Uruguay 28,861.95 2019
52 Romania 28,831.21 2019
53 Hungary 28,050.55 2019
54 Costa Rica 27,930.12 2019
55 Chile 25,591.99 2019
56 Equatorial Guinea 24,569.52 2019
57 Lebanon 24,014.56 2019
58 Mexico 22,848.11 2019
59 Mauritius 22,769.96 2019
60 Argentina 22,314.60 2019
61 Kazakhstan 22,164.27 2019
62 Suriname 21,969.36 2019
63 St. Lucia 21,961.44 2019
64 China 21,526.78 2019
65 Oman 21,483.75 2019
66 Malaysia 20,916.81 2019
67 Cuba 20,463.69 2018
68 Bosnia and Herzegovina 18,432.01 2019
69 Botswana 18,366.91 2019
70 Gabon 18,207.41 2019
71 Iran 17,981.43 2019
72 Russia 17,454.08 2019
73 Iraq 17,370.49 2019
74 Bulgaria 17,125.65 2019
75 Brazil 17,104.58 2019
76 Tonga 16,993.88 2019
77 South Africa 16,933.20 2019
78 Montenegro 16,210.16 2019
79 Turkmenistan 15,887.54 2015
80 Jordan 15,851.11 2019
81 Tunisia 15,313.75 2019
82 St. Vincent and the Grenadines 15,121.24 2019
83 Egypt 14,833.33 2019
84 Dominican Republic 14,556.23 2019
85 Namibia 14,407.75 2019
86 Georgia 14,289.15 2019
87 North Macedonia 14,057.60 2019
88 Serbia 14,014.33 2019
89 Armenia 13,797.02 2019
90 Sri Lanka 13,656.32 2019
91 Guyana 13,441.62 2019
92 Papua New Guinea 13,365.40 2018
93 Algeria 13,342.08 2019
94 Guatemala 13,048.57 2019
95 Thailand 12,943.68 2015
96 Colombia 12,302.91 2019
97 Ecuador 12,201.79 2019
98 Eswatini 11,917.96 2019
99 Morocco 11,863.13 2019
100 Albania 11,844.28 2019
101 Fiji 11,573.01 2019
102 Peru 11,279.36 2019
103 Belize 10,650.41 2019
104 Angola 10,579.34 2019
105 Djibouti 10,439.53 2019
106 Azerbaijan 10,215.38 2019
107 Belarus 9,956.34 2019
108 Jamaica 9,627.56 2019
109 El Salvador 9,554.04 2019
110 Paraguay 9,540.98 2019
111 Mongolia 9,516.85 2019
112 Nigeria 9,437.99 2019
113 Moldova 9,324.40 2019
114 Philippines 9,312.90 2019
115 India 8,806.59 2019
116 Bhutan 8,710.77 2019
117 Lao PDR 8,215.22 2019
118 Cabo Verde 8,116.54 2019
119 Côte d'Ivoire 7,861.85 2019
120 Indonesia 7,286.84 2019
121 Zimbabwe 7,223.34 2018
122 Honduras 6,731.71 2019
123 Bolivia 6,578.88 2019
124 São Tomé and Principe 6,562.55 2019
125 Pakistan 6,482.23 2019
126 Mauritania 6,128.46 2019
127 Comoros 6,053.37 2019
128 Sudan 5,535.79 2019
129 Zambia 5,348.96 2019
130 Uzbekistan 5,229.49 2019
131 Vietnam 5,108.85 2019
132 Senegal 5,076.62 2019
133 Bangladesh 4,973.30 2019
134 Uganda 4,879.17 2019
135 Timor-Leste 4,789.67 2019
136 Nepal 4,754.86 2019
137 Ukraine 4,742.12 2019
138 Tajikistan 4,557.48 2019
139 Congo 4,374.68 2019
140 Kenya 4,161.96 2019
141 Cameroon 4,105.30 2019
142 Nicaragua 4,030.45 2019
143 Ghana 3,862.16 2019
144 Myanmar 3,749.67 2019
145 Lesotho 3,746.34 2019
146 Guinea 3,406.77 2019
147 Benin 3,272.67 2019
148 Rwanda 3,125.19 2019
149 Burundi 3,073.87 2019
150 Mozambique 3,072.72 2019
151 Tanzania 3,060.42 2019
152 Mali 3,009.27 2019
153 Ethiopia 2,951.30 2019
154 Haiti 2,915.80 2019
155 Afghanistan 2,907.22 2019
156 Malawi 2,798.91 2019
157 Kyrgyz Republic 2,774.30 2019
158 Cambodia 2,664.19 2019
159 Niger 2,605.22 2019
160 Chad 2,335.55 2019
161 Yemen 2,293.74 2018
162 The Gambia 2,234.99 2019
163 Madagascar 1,960.09 2019
164 Dem. Rep. Congo 1,957.18 2019
165 Central African Republic 1,930.53 2019
166 Burkina Faso 1,915.40 2019
167 Guinea-Bissau 1,858.96 2019
168 Liberia 1,766.60 2019
169 Sierra Leone 1,751.57 2019
170 Togo 1,054.82 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