T-Index 2014: the rankings for online markets

T-Index

Which markets offer the greatest potential for online sales?


T-Index is a statistical index showing the online market share per country, by combining the number of Internet users with their estimated GDP per capita.

The aim of this study is to guide companies in their selection of languages for a project of website translation.

The study was conducted by TRANSLATED – the leading professional online translation agency – in order to assist clients to get the best possible return on investment (ROI) from internationalization.

The underlying criteria for the study are described below.

2014 data

How to interpret the data

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Trend* Country T-Index
2014
Projection
2018
Languages Internet population Internet
penetration rate
GDP p.c. of Int. pop.**
Download data in CSV format
(!) Restricted Internet access
* The arrows and dash indicate the country's projected performance in the 2018 rankings.
** GDP per capita of the Internet population
*** The United Kingdom consists of four countries: England, Scotland, Wales and Northern Ireland
N.B: The Internet population of North Korea, Mali and Madagascar, as well as the GDP per capita of the Internet population of the Vatican City have been estimated by our agency due to the lack of available data or after finding objectively incorrect figures provided by our official sources. (!) The majority of the population has limited access to the Internet.
1
USA 19.4% 13.2% 1 277,203,319 86.9% $60,878
2
China (!) 15.3% 21.8% 1 642,261,240 47.4% $20,642
3
Japan 5.2% 3.8% 1 109,626,672 86.2% $41,145
4
Germany 4.1% 3.5% 1 71,727,551 88.6% $49,357
5
India 3.5% 3.8% 2 243,000,000 19.7% $12,530
6
Russia 3.4% 3.9% 1 87,476,747 61.4% $33,901
Localizing your website for these 6 markets gives you access to 50% of the worldwide online sales potential.
7
Brazil 3.2% 4.1% 1 109,773,650 54.2% $25,675
8
France 2.9% 2.8% 1 55,221,000 83.3% $45,249
9
UK *** 2.8% 2.1% 1 57,266,690 89.8% $42,727
10
Italy 2.0% 1.2% 1 36,058,199 58.5% $48,981
11
Mexico 2.0% 2.0% 1 59,200,000 49.2% $28,882
12
South Korea 1.9% 1.8% 1 45,314,248 92.4% $37,031
13
Canada 1.8% 1.4% 2 33,000,381 94.7% $46,451
14
Spain 1.7% 1.6% 2 35,705,960 74.8% $41,218
15
Indonesia 1.7% 1.7% 1 71,190,000 28.1% $20,670
16
Turkey 1.5% 1.7% 1 46,282,850 56.7% $28,045
17
Saudi Arabia (!) 1.4% 1.4% 1 18,300,000 66.9% $67,565
18
Iran (!) 1.3% 1.8% 1 46,800,000 57.9% $23,951
19
Australia 1.2% 0.97% 1 21,176,595 94.1% $48,330
20
Taiwan 1.2% 1.1% 1 18,687,942 80.0% $53,672
21
Argentina 1.0% 1.4% 1 32,268,280 75.0% $28,032
22
Poland 0.93% 1.2% 1 25,666,238 66.9% $31,540
23
Netherlands 0.90% 0.73% 1 16,143,879 95.7% $48,652
Localizing your website for these 23 markets gives you access to 80% of the worldwide online sales potential.
24
Nigeria 0.86% 0.99% 1 70,300,000 39.7% $10,663
25
Egypt 0.78% 0.94% 1 46,200,000 53.2% $14,760
26
Malaysia 0.77% 0.88% 2 20,140,126 67.0% $33,068
27
United Arab Emirates 0.68% 0.77% 1 8,807,226 94.2% $67,180
28
South Africa 0.65% 0.66% 4 24,909,854 51.5% $22,808
29
Colombia 0.64% 0.93% 1 28,475,560 61.6% $19,647
30
Thailand 0.64% 0.75% 1 20,100,000 29.7% $27,596
31
Philippines 0.62% 1.3% 2 44,200,540 41.1% $12,147
32
Switzerland 0.52% 0.39% 3 7,180,748 89.1% $62,505
33
Singapore 0.50% 0.48% 2 4,453,859 80.0% $98,238
34
Sweden 0.50% 0.41% 1 9,216,226 94.8% $47,316
35
Belgium 0.50% 0.45% 2 9,441,116 90.4% $45,612
36
Venezuela 0.44% 0.56% 1 12,994,232 45.0% $29,585
37
Hong Kong 0.43% 0.36% 1 5,751,357 80.9% $64,268
38
Austria 0.42% 0.36% 1 7,135,168 86.8% $50,543
39
Vietnam (!) 0.41% 0.49% 1 41,012,186 43.9% $8,772
40
Chile 0.41% 0.37% 1 11,546,990 66.5% $31,077
Localizing your website for these 40 markets gives you access to 90% of the worldwide online sales potential.
41
Norway 0.39% 0.30% 1 4,895,885 95.1% $68,902
42
Kazakhstan 0.36% 0.59% 2 9,850,123 54.9% $31,939
43
Qatar 0.34% 0.41% 1 2,016,400 95.0% $148,631
44
Romania 0.34% 0.32% 1 11,178,477 51.4% $26,723
45
Czech Republic 0.33% 0.30% 1 8,322,168 78.3% $34,189
46
Pakistan 0.31% 0.61% 2 29,128,970 14.8% $9,354
47
Bangladesh 0.30% 0.21% 1 40,800,000 24.5% $6,356
48
Peru 0.29% 0.38% 1 11,817,991 39.2% $21,441
49
Portugal 0.29% 0.11% 1 7,015,519 64.9% $35,722
50
Denmark 0.28% 0.20% 1 5,419,113 97.3% $45,011
51
Israel 0.27% 0.29% 1 5,928,772 75.8% $40,275
52
Ukraine 0.26% 0.27% 2 18,513,810 41.8% $12,391
53
Greece 0.26% 0.21% 1 6,451,326 59.9% $35,067
54
Ireland 0.25% 0.20% 2 3,817,491 79.0% $57,143
55
Hungary 0.25% 0.26% 1 7,388,776 74.5% $29,465
56
Finland 0.24% 0.21% 1 5,117,660 97.1% $41,032
57
Morocco 0.24% 0.37% 2 20,207,154 61.3% $10,391
58
Algeria 0.23% 0.44% 2 6,669,928 17.2% $30,385
59
Kuwait 0.23% 0.19% 1 3,022,010 110.2% $66,565
60
New Zealand 0.17% 0.12% 1 4,162,209 94.6% $36,523
61
Slovakia 0.16% 0.19% 1 4,507,849 82.8% $31,475
62
Azerbaijan (!) 0.16% 0.21% 1 5,737,223 59.2% $23,587
63
Ecuador 0.15% 0.23% 1 6,316,555 40.4% $20,355
64
Belarus 0.14% 0.17% 2 5,204,685 54.2% $23,948
65
Oman 0.14% 0.18% 1 2,584,316 80.3% $46,335
66
Dominican Rep 0.13% 0.18% 1 6,054,013 58.5% $18,881
67
Kenya 0.12% 0.14% 1 21,273,738 47.3% $5,095
68
Uzbekistan (!) 0.12% 0.16% 1 11,914,665 41.2% $9,071
69
Sri Lanka (!) 0.12% 0.15% 1 4,788,751 21.9% $22,068
70
Bulgaria 0.11% 0.094% 1 4,083,950 59.0% $24,235
71
Tunisia 0.10% 0.13% 2 5,053,704 46.2% $17,248
72
Lebanon 0.098% 0.11% 1 3,336,517 56.7% $25,523
73
Iraq 0.097% 0.086% 1 2,997,884 9.2% $28,049
74
Jordan 0.095% 0.085% 1 5,700,000 71.9% $14,535
75
Lithuania 0.093% 0.095% 1 2,399,678 68.5% $33,832
76
Croatia 0.093% 0.096% 1 3,167,838 70.9% $25,461
77
Serbia 0.091% 0.12% 1 4,705,141 65.3% $16,727
78
Sudan (!) 0.086% 0.10% 1 9,307,189 26.2% $8,051
79
Angola 0.081% 0.12% 1 4,286,821 22.5% $16,461
80
Costa Rica 0.079% 0.077% 1 4,028,302 84.7% $16,983
81
Bahrain (!) 0.078% 0.076% 1 1,297,500 98.7% $52,176
82
Cuba (!) 0.072% 0.14% 1 3,090,796 28.0% $20,117
83
Guatemala 0.071% 0.090% 1 2,885,475 19.7% $21,460
84
Panama 0.068% 0.094% 1 1,899,892 52.7% $31,213
85
Uruguay 0.066% 0.083% 1 1,936,457 58.1% $29,495
86
Puerto Rico 0.061% 0.038% 1 2,675,843 73.9% $19,935
87
Syria (!) 0.061% 0.12% 1 5,920,553 33.0% $8,944
88
Ghana 0.060% 0.074% 1 5,171,993 20.1% $10,002
89
Slovenia 0.059% 0.051% 1 1,501,039 75.5% $34,173
90
Bolivia 0.055% 0.079% 1 4,199,437 39.5% $11,439
91
Libya 0.055% 0.061% 1 1,362,604 21.8% $35,003
92
Luxembourg 0.055% 0.023% 1 510,177 98.0% $93,144
93
Latvia 0.054% 0.042% 1 1,628,854 75.2% $28,617
94
Tanzania 0.053% 0.058% 1 7,590,794 15.3% $6,093
95
Macau 0.052% 0.062% 1 386,847 65.8% $115,993
96
Yemen (!) 0.051% 0.063% 1 5,210,593 20.0% $8,546
97
Paraguay 0.046% 0.064% 1 2,473,724 36.9% $16,071
98
Trinidad & Tobago 0.039% 0.047% 1 780,858 63.8% $43,384
99
Uganda 0.039% 0.049% 1 6,523,949 18.2% $5,130
100
Bosnia-Herzegovina 0.037% 0.053% 1 2,628,846 67.9% $12,333
101
Estonia 0.037% 0.028% 1 1,047,772 83.3% $30,432
102
Cyprus 0.036% 0.039% 1 804,306 68.6% $39,266
103
Zambia 0.034% 0.032% 1 2,313,013 15.8% $12,639
104
Brunei Darussalem 0.032% 0.036% 1 318,900 75.4% $88,529
105
El Salvador 0.032% 0.042% 1 1,742,832 28.5% $16,097
106
Georgia 0.032% 0.045% 1 2,188,311 44.3% $12,531
107
Albania 0.031% 0.047% 1 1,815,146 60.1% $14,759
108
Gabon 0.030% 0.023% 1 657,928 39.3% $39,910
109
Macedonia 0.028% 0.034% 1 1,280,132 61.2% $18,853
110
Honduras 0.027% 0.042% 1 1,602,558 18.6% $14,471
111
Zimbabwe 0.024% 0.016% 1 5,348,433 38.8% $3,895
112
Jamaica 0.024% 0.019% 1 1,581,100 54.0% $13,017
113
Nepal 0.023% 0.027% 1 4,121,268 13.3% $4,929
114
Armenia 0.020% 0.030% 1 1,800,000 58.8% $9,690
115
Botswana 0.019% 0.031% 1 323,368 15.0% $52,116
116
Turkmenistan (!) 0.019% 0.020% 1 496,507 9.6% $33,621
117
Mongolia 0.018% 0.019% 1 635,999 21.5% $25,212
118
Senegal 0.018% 0.023% 1 3,194,190 23.4% $4,991
119
Mauritius 0.018% 0.022% 1 519,150 39.0% $30,504
120
Iceland 0.016% 0.012% 1 321,475 101.3% $43,389
121
Kosovo 0.016% 0.029% 1 1,424,149 76.6% $9,590
122
Namibia 0.014% 0.016% 1 347,414 15.8% $35,631
123
Moldova 0.014% 0.019% 1 1,748,645 48.8% $7,054
124
Malawi 0.014% 0.011% 1 12,150,362 69.9% $1,004
125
Malta 0.014% 0.013% 1 284,361 68.9% $42,277
126
Kyrgyzstan 0.014% 0.022% 1 2,194,400 39.2% $5,381
127
Nicaragua 0.013% 0.017% 1 906,539 15.5% $12,102
128
Cameroon 0.012% 0.016% 1 1,486,815 6.4% $6,881
129
Laos (!) 0.011% 0.014% 1 850,425 12.5% $11,046
130
Equatorial Guinea (!) 0.011% 0.011% 1 124,035 17.2% $75,333
131
Bahamas 0.0090% 0.017% 1 293,875 91.3% $26,678
132
Montenegro 0.0085% 0.011% 1 369,220 56.8% $20,029
133
Myanmar 0.0085% 0.0069% 1 668,955 1.2% $10,987
134
Cote D'Ivoire 0.0083% 0.010% 1 968,000 4.2% $7,456
135
Tajikistan 0.0083% 0.013% 1 1,357,400 16.9% $5,283
136
Suriname 0.0082% 0.011% 1 214,418 37.4% $33,173
137
Afghanistan 0.0078% 0.0099% 1 1,877,548 5.9% $3,629
138
Swaziland 0.0078% 0.0096% 1 350,647 24.7% $19,352
139
Haiti 0.0078% 0.0081% 1 1,217,505 12.2% $5,545
140
Cambodia 0.0072% 0.0099% 1 927,500 6.0% $6,721
141
Ethiopia 0.0070% 0.0084% 1 1,836,035 1.9% $3,329
142
Rwanda (!) 0.0062% 0.0091% 1 1,110,043 9.0% $4,823
143
Fiji 0.0057% 0.0059% 1 335,090 37.1% $14,856
144
Congo 0.0053% 0.0087% 1 307,721 6.6% $15,054
145
Mauritania 0.0053% 0.0053% 1 455,553 13.0% $10,072
146
Mozambique 0.0051% 0.0078% 1 1,467,687 5.9% $3,021
147
Barbados 0.0050% 0.0083% 1 224,588 77.5% $19,270
148
Mali 0.0049% 0.0045% 1 1,196,021 7.3% $3,571
149
Jersey 0.0047% 0.0052% 1 45,800 47.5% $88,344
150
Maldives 0.0046% 0.0059% 1 173,575 44.1% $22,869
151
Liechtenstein 0.0037% 0.0076% 1 34,356 92.1% $94,661
152
Guyana 0.0037% 0.0046% 1 242,733 33.0% $13,271
153
Burkina Faso 0.0037% 0.0051% 1 808,065 4.4% $3,955
154
Andorra 0.0036% 0.0056% 1 80,331 94.0% $38,825
155
Dem Rep Of The Congo 0.0035% 0.0037% 1 1,703,542 2.2% $1,780
156
Madagascar 0.0035% 0.0035% 1 872,153 3.8% $3,448
157
Papua New Guinea 0.0033% 0.0018% 1 425,927 6.5% $6,760
158
Guernsey 0.0030% 0.0019% 1 48,300 73.3% $54,775
159
Monaco 0.0029% 0.0034% 1 34,214 112.1% $72,911
160
Benin 0.0027% 0.0019% 1 497,867 4.9% $4,721
161
Cape Verde 0.0027% 0.0039% 1 201,950 37.5% $11,522
162
Greenland 0.0025% 0.0030% 1 52,000 90.1% $41,290
163
Seychelles 0.0024% 0.0025% 1 50,220 54.8% $41,331
164
Chad 0.0023% 0.0023% 1 317,197 2.8% $6,373
165
Antigua & Barbuda 0.0023% 0.0028% 1 81,545 89.3% $24,416
166
Belize 0.0022% 0.0033% 1 108,048 31.7% $17,915
167
Saint Lucia 0.0021% 0.0027% 1 142,900 87.5% $12,819
168
San Marino 0.0017% 0.0021% 1 16,645 50.8% $90,790
169
Faroe Islands 0.0017% 0.0016% 1 44,952 90.0% $32,815
170
Togo 0.0015% 0.0014% 1 356,300 4.8% $3,740
171
Gambia 0.0013% 0.0024% 1 271,711 14.1% $4,225
172
Eritrea (!) 0.0012% 0.0016% 1 377,363 5.9% $2,791
173
St Kitts & Nevis 0.0012% 0.0012% 1 41,230 80.0% $24,687
174
St Vincent & Grenadines 0.0012% 0.0023% 1 76,000 73.8% $13,187
175
Grenada 0.0011% 0.0014% 1 47,903 43.5% $19,441
176
Lesotho 0.0010% 0.00095% 1 110,065 5.7% $8,016
177
Burundi 0.00091% 0.00090% 1 405,441 3.9% $1,949
178
Dominica 0.00075% 0.0011% 1 43,335 59.0% $15,046
179
Niger 0.00073% 0.0011% 1 298,310 1.7% $2,122
180
Djibouti (!) 0.00066% 0.0010% 1 80,378 9.9% $7,093
181
Guinea 0.00064% 0.00080% 1 205,194 1.8% $2,731
182
Sierra Leone 0.00050% 0.00057% 1 97,643 1.7% $4,418
183
Liberia 0.00043% 0.00045% 1 188,246 4.6% $1,981
184
Sao Tome And Principe 0.00042% 0.000001% 1 48,806 25.6% $7,545
185
Samoa 0.00042% 0.00059% 1 30,084 15.3% $12,093
186
Tonga 0.00039% 0.00080% 1 40,131 37.7% $8,485
187
Central African Rep 0.00039% 0.00079% 1 184,729 3.5% $1,840
188
Comoros 0.00030% 0.00036% 1 49,846 6.5% $5,264
189
Somalia (!) 0.00026% 0.00021% 1 163,185 1.6% $1,401
190
Micronesia 0.00026% 0.00047% 1 29,379 27.8% $7,745
191
Solomon Islands 0.00025% 0.00053% 1 48,791 8.0% $4,425
192
North Korea (!) 0.00024% 0.00050% 1 50,000 0.2% $4,203
193
Palau 0.00023% 0.00021% 1 6,560 31.0% $30,666
194
Vanuatu 0.00021% 0.00048% 1 30,164 11.3% $6,089
195
Guinea Bissau 0.00021% 0.00020% 1 57,764 3.4% $3,101
196
East Timor 0.00015% 0.00018% 1 13,217 1.1% $9,807
197
Marshall Islands 0.00012% 0.00027% 1 8,580 12.1% $12,486
198
Cook Islands 0.000087% 0.000085% 1 6,000 59.2% $12,657
199
Kiribati 0.000056% 0.00023% 1 12,156 11.6% $4,000
200
Tuvalu 0.000028% 0.000052% 1 4,300 39.9% $5,569
201
Vatican City State 0.000027% 0.000044% 1 480 57.0% $49,549
202
Niue 0.000008% 0.000003% 1 1,100 92.4% $6,125
203
Nauru 0.000008% 0.000001% 1 560 5.9% $11,674
204
Bhutan 0.000003% 0.0031% 1 219,359 29.9% $13

T-Index Map 2014

T-Index is a percentage value that indicates the Internet market share held by each country.
The higher the T-Index, the higher the online sales potential of a country.

Internet Freedom Map

In certain countries, translating your website content may not be enough to transform local Internet users into potential customers. The map above shows the countries that currently impose restrictions on Internet access.
Source : Reporters Without Borders http://en.rsf.org

Learn more about T-Index


T-Index has been developed to help companies aiming at international expansion to select their target markets and to decide on the target languages for the translation of their website(s).

The United States, with a T-Index value of 19.4%, is the market with the highest potential for online sales in 2014, with more than 277 million Internet users, each with an average GDP per capita of $60,878.

It is important to fully understand the local market and country before localizing your website for the United States. Is this market genuinely accessible for your company?

Have you considered the following?

Example

A UK-based company specializing in the sale of winter sports merchandise has a website in English and wishes to translate it into another European language, to reach new customers online. After conducting market research, the marketing manager concludes that their products would be highly likely to be successful in Germany, Sweden and Norway. By accessing T-Index, it quickly becomes clear that Germany, with a 4.1% market share, is the market with the greatest potential for online sales, given its 71,727,551 Internet users with an average GDP per capita of $49,357.
T-Index has therefore acted as a deciding factor in the choice of German as a new language for the site.

Variations 2005-2018


News & Forecasts


The 2014 ranking shows that the gap between the United States, ranked first with a T-Index of 19.4%, and China, ranked second with 15.3%, is continually shrinking: only 4.1 points now separate the leaders of the rankings, versus 7.2 points in 2013. According to the T-Index projection, China should overthrow the United States for the top spot in 2016, with a market share equal to 18.9% versus 16.3% for the United States.

In order to calculate a projection for the time leading up to 2018, we have extrapolated a line between the 2005 and 2014 data points, using simple linear regression*. The projection assumes a linear growth trend for all countries.

Japan has maintained its traditional third-place ranking (since 2008) but lost a percentage point, falling from 6.2% in 2013 to 5.2% in 2014.

India displayed surprising performance, jumping from ninth to fifth place in just a year with a market share equal to 3.5%, versus 2.5% in 2013. By 2015, however, India should drop back down to eighth place, upstaged by Brazil, who would then steal fifth place. With an estimated rise in market share of 26.1%, Brazil, who entered the top 10 in 2007, could even steal third place starting in 2018 and end up well ahead of Germany and Japan.

Russia and Brazil, in sixth and seventh place respectively, have moved ahead of France and the UK in 2014, themselves ranked eighth and ninth. Italy has regained its spot in the top 10 despite a decrease in absolute value of 0.2 points of market share between 2013 and 2014. Indonesia experienced strong growth (+91%) and moved from twenty-second to fifteenth place between 2013 and 2014.

Among the emerging countries to show the strongest growth in market share between 2014 and 2018 are China (up 43.0%), Argentina (up 30.2%), Brazil (up 26.1%), Poland (up 24.3%) and Russia (up 15.0%).

*See Wikipedia for further information: http://en.wikipedia.org/wiki/Simple_linear_regression

The Study

Assumptions & Method

T-Index has been developed to help companies aiming at international expansion to select their target markets and to decide on the target languages for the translation of their website(s).

Each country has been classified according to the language most commonly used by the local population to browse and make purchases on the Web. For reasons of statistical significance, the coexistence of multiple languages ​​within the same country was only taken into account where the T-index value of the country exceeded 0.1%. In the latter case, only languages ​​used on a daily basis on the Internet by more than 15% of the population were considered, except in cases where the minority languages ​​in question (used on the Internet by less than 15% of the population) are also national official languages. For example, Switzerland, with a T-Index of 0.52%, has been evaluated in three different language markets: German, French and Italian. All three of these languages are actually used on a daily basis by the Swiss people to browse and make purchases on the Web. While French and German are both used by more than 15% of the population, Italian is used by only 7% of Internet users. However, Italian is a nationally recognized official language in Switzerland, hence its inclusion in T-Index.

The T-Index study only includes languages used for browsing the Web. A number of languages ​​are either not at all or very scarcely represented on the Internet today. Indeed, in many countries, the language ​​spoken in daily life by the majority of the population cannot be found online, as with Kinyarwanda in Rwanda. This is often due to a low Internet penetration rate, which does not enable local people to access the Web to create content in their native language. In Rwanda, the 9.0% of the total population who have Internet access browse the Web in English, given that little or no content has been created by and for Rwandans in their national language. This is why T-Index includes Rwanda in the English language market.

Languages with international variants have been grouped into their respective standard language. For example, UK and US English have both been classified as English.

Dependent territories (e.g. Puerto Rico) have been evaluated according to their respective governing state, provided they share the same language. If they do not share the same language, as is the case with Puerto Rico and the United States, they are included as separate entries based on the language market to which they belong.

The T-Index study does not cover all countries. The countries included in the study are those for which it was possible to find data on the number of Internet users and GDP per capita. Without this data, the evaluation would have been impossible.

In order to determine the GDP per capita of the Internet population, we assumed that the Internet users in each country belong to the richest segment of the country’s population. We did so because T-Index is aimed at identifying the Internet users with the technical and financial means to browse and make purchases on the Web.

Firstly, we gathered information about the number of Internet users and the total population, from which we determined the Internet penetration rate* for each country. We then analyzed each country's GDP per capita and income distribution, to determine the proportion of GDP theoretically earned by Internet users, the "GDP per capita of the Internet population". Finally, we established a value for each country based on this information.

For countries where income distribution data was not available, we calculated the average income distribution for all countries and used this estimate.

Notes

T-Index is a tool to support decision-making for companies faced with a choice of markets and languages ​​when localizing their website(s). It gives an overview of the potential of each online market. Nevertheless, factors other than the absolute size of each market alone must be taken into account when making internationalization decisions. For example, localizing your website for the Chinese market does not make sense if your company does not have the logistics capacity to distribute your products in China. Moreover, translation is the first step towards attracting new customers, although other key aspects, such as the quality of your products/services or the user-friendliness of your website, must also be optimized, to transform your visitors into potential buyers.

Example

In Japan, the number of Internet users is 109,626,672, out of a total population of 127,103,388. The Internet penetration rate is therefore 86.2%. In 2014, the GDP per capita of Japan was estimated at $37,389. According to income distribution by quintiles, we estimate that 86.2% of the richest people in Japan own 94.91% of the country's wealth. To obtain the GDP per capita of the Internet population, we then made a simple calculation:

(total population x GDP per capita x % of wealth owned by Internet users) / number of Internet users

Applied to Japan: (127,103,388 x 37,389 x 94.91%) / 109,626,672
The estimated GDP per capita of the Internet population in Japan is thus $41,145.

To obtain the T-Index value, we multiply the number of Internet users by the average GDP per capita of the Internet population. For Japan: 109,626,672 x $41,145. Finally, to obtain a percentage value for each country, we divided each country's T-Index value by the sum of the T-Index values of all countries. This explains how we obtain a T-Index for Japan of 5.2%.

*The Internet penetration rate is the percentage of Internet users in a given country.

Sources

The statistics used in the T-Index study are taken from the following reliable Web-based sources.

The number of Internet users for each country is taken from the Internet World Stats website, which provides up-to-date statistics on worldwide Internet usage. The statistics were up-to-date as at June 30, 2014.

To assign each country to a language market, we studied the languages ​​most commonly used for navigation and shopping on the Web in each country. Our worldwide network of freelance translators has also contributed to the project, helping to make it a reliable tool that reflects the reality of each country.

The total population of each country is taken from the CIA (Central Intelligence Agency) World Factbook. The statistics are estimates from the US Census Bureau as at July 2014. For countries whose total population is not specified in the CIA World Factbook, the data is taken from the official statistical sources of each country in question.

Data on GDP (Gross Domestic Product) per capita is taken from the International Monetary Fund World Economic Outlook Database. The data represent estimates for 2014, in international dollars. For countries or territories whose GDP per capita is not indicated in the IMF World Economic Outlook Database, the data is taken from the CIA World Factbook.

To determine whether Internet access is restricted in a given country, we looked at the ranking provided by the international non-governmental organization Reporters Without Borders, available on its official website: http://index.rsf.org/#!/.

The distribution of income by quintiles is taken from the statistical data of the Development Research Group at the World Bank: http://data.worldbank.org/indicator/SI.DST.05TH.20. Not all the data refer to the same year (the World Bank data ranges from 1992 to 2013).

This ranking may only be freely reused and shared if a link back to this page is provided and it is made clear to users that the data comes from the T-Index study. Please copy and paste the following statement:

T-Index Study 2014, by TRANSLATED. TRANSLATED is the leading professional online translation agency providing language services to over 60,000 international customers for more than 15 years:
www.translated.net/en/languages-that-matter

Credits

Many thanks to all the people who provided us with useful data or tips (in alphabetical order):

Contacts

For further information, please contact: aurore@translated.net

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