T-Index 2013: 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.

2013 data | NEW!

How to interpret the data

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Trend* Country T-Index
2013
Projection
2017
Language 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 2017 rankings.
** GDP per capita of the Internet population
N.B: The Internet population of North Korea and the GDP per capita of the Internet population of the Vatican City have been estimated by our agency. (!) The majority of the population has limited access to the Internet.
1
USA 21.6% 14.8% 1 268,507,150 84.8% $57,025
2
China (!) 14.4% 21.0% 1 620,907,200 46.0% $16,424
3
Japan 6.2% 4.4% 1 109,626,672 86.1% $40,313
4
Germany 4.3% 3.7% 1 69,779,160 86.0% $43,615
5
UK 3.3% 2.4% 1 57,266,690 90.3% $40,435
6
France 3.2% 3.1% 1 55,221,000 83.7% $40,767
Localizing your website for these 6 markets gives you access to 50% of the worldwide online sales potential.
7
Brazil 3.1% 4.1% 1 109,773,650 54.6% $20,314
8
Russia 3.1% 3.7% 1 87,476,747 61.4% $25,296
9
India 2.5% 2.9% 2 195,248,951 16.0% $9,125
10
South Korea 2.3% 2.1% 1 41,571,196 84.9% $38,678
11
Italy 2.2% 1.3% 1 36,058,199 58.6% $42,307
12
Mexico 2.0% 2.0% 1 52,276,580 45.0% $27,651
13
Canada 2.0% 1.5% 2 31,661,870 91.6% $44,798
14
Spain 2.0% 1.8% 2 35,705,960 75.4% $38,857
15
Australia 1.3% 1.1% 1 19,554,832 87.8% $47,188
16
Turkey 1.3% 1.6% 1 37,748,969 46.8% $24,162
17
Taiwan 1.3% 1.1% 1 18,687,942 80.2% $48,754
18
Iran (!) 1.2% 1.8% 1 45,000,000 56.4% $18,395
19
Argentina 1.1% 1.4% 1 32,268,280 75.7% $23,342
20
Netherlands 1.0% 0.84% 1 15,857,959 94.4% $45,554
21
Poland 0.98% 1.2% 1 24,940,902 65.0% $27,804
Localizing your website for these 21 markets gives you access to 80% of the worldwide online sales potential.
22
Indonesia 0.89% 1.2% 1 55,000,000 21.9% $11,523
23
Saudi Arabia (!) 0.81% 1.1% 1 16,544,322 61.4% $34,543
24
South Africa 0.72% 0.64% 4 23,655,690 48.7% $21,447
25
Colombia 0.64% 0.98% 1 28,475,560 62.2% $15,972
26
Malaysia 0.64% 0.72% 2 20,140,126 68.0% $22,469
27
United Arab Emirates 0.64% 0.53% 1 8,101,280 86.7% $55,564
28
Sweden 0.59% 0.44% 1 9,216,226 96.1% $45,079
29
Thailand 0.58% 0.75% 1 20,100,000 29.8% $20,528
30
Egypt 0.57% 0.78% 1 43,065,211 50.5% $9,324
31
Belgium 0.53% 0.50% 2 8,586,240 82.2% $43,881
32
Hong Kong 0.50% 0.41% 1 5,329,372 74.2% $66,825
33
Switzerland 0.49% 0.38% 3 6,989,333 87.4% $49,174
34
Nigeria 0.48% 0.76% 1 67,319,186 38.6% $5,048
35
Philippines 0.48% 0.81% 2 44,200,540 41.8% $7,643
36
Austria 0.47% 0.40% 1 6,629,433 80.6% $49,842
37
Singapore 0.46% 0.46% 2 4,064,130 74.4% $79,403
38
Norway 0.39% 0.30% 1 4,892,976 96.2% $56,880
Localizing your website for these 38 markets gives you access to 90% of the worldwide online sales potential.
39
Venezuela 0.39% 0.55% 1 12,994,232 45.7% $21,284
40
Chile 0.39% 0.36% 1 11,546,990 67.1% $23,627
41
Czech Republic 0.35% 0.32% 1 7,876,002 77.5% $31,443
42
Greece 0.34% 0.27% 1 6,451,326 59.9% $37,830
43
Vietnam (!) 0.34% 0.44% 1 41,012,186 44.3% $5,860
44
Peru 0.33% 0.41% 1 11,817,991 39.6% $19,948
45
Israel 0.32% 0.33% 1 5,537,870 71.9% $41,288
46
Ukraine 0.30% 0.46% 2 18,513,810 41.5% $11,605
47
Denmark 0.30% 0.22% 1 5,270,018 94.8% $40,572
48
Portugal 0.30% 0.11% 1 6,715,390 62.2% $31,731
49
Qatar 0.30% 0.35% 1 1,811,055 88.7% $116,269
50
Romania 0.28% 0.29% 1 10,812,784 49.6% $18,614
51
Finland 0.28% 0.23% 1 4,821,478 91.6% $40,564
52
Kazakhstan 0.27% 0.43% 2 9,692,360 54.6% $19,742
53
Ireland 0.26% 0.21% 2 3,781,639 79.2% $48,455
54
Hungary 0.25% 0.27% 1 7,205,255 72.5% $25,043
55
Pakistan 0.24% 0.24% 2 29,128,970 15.1% $5,842
56
Morocco 0.21% 0.31% 2 18,472,836 56.6% $7,889
57
Slovakia 0.18% 0.21% 1 4,337,868 79.0% $29,316
58
New Zealand 0.18% 0.12% 1 3,810,144 87.3% $32,766
59
Belarus (!) 0.16% 0.19% 2 5,204,685 54.1% $21,285
60
Kuwait 0.15% 0.15% 1 2,069,650 76.8% $51,535
61
Algeria 0.15% 0.23% 2 6,404,264 16.8% $16,197
62
Ecuador 0.14% 0.22% 1 6,316,555 40.9% $15,862
63
Dominican Rep 0.13% 0.18% 1 6,054,013 59.2% $14,693
64
Azerbaijan 0.12% 0.19% 1 5,685,805 59.3% $15,009
65
Tunisia 0.11% 0.19% 2 4,790,634 44.2% $16,227
66
Bulgaria 0.11% 0.094% 1 3,674,254 52.6% $21,095
67
Croatia 0.11% 0.11% 1 3,167,838 70.8% $23,728
68
Oman 0.10% 0.17% 1 2,139,540 67.8% $34,698
69
Uzbekistan (!) 0.097% 0.14% 1 11,051,151 38.6% $6,199
70
Kenya 0.093% 0.11% 1 21,273,738 48.3% $3,099
71
Sri Lanka 0.091% 0.12% 1 4,788,751 22.1% $13,521
72
Serbia 0.090% 0.13% 1 4,107,000 56.7% $15,493
73
Lithuania 0.088% 0.095% 1 2,399,678 68.3% $25,919
74
Lebanon 0.086% 0.099% 1 2,916,511 70.6% $20,887
75
Syria (!) 0.086% 0.14% 1 5,920,553 26.4% $10,234
76
Cuba (!) 0.084% 0.14% 1 2,840,248 25.7% $20,948
77
Angola 0.084% 0.11% 1 3,645,828 19.6% $16,296
78
Puerto Rico 0.076% 0.041% 1 2,675,843 72.8% $20,100
79
Slovenia 0.074% 0.063% 1 1,445,091 72.5% $36,210
80
Sudan 0.067% 0.088% 1 8,054,467 23.1% $5,876
81
Uruguay 0.066% 0.087% 1 1,936,457 58.2% $24,264
82
Costa Rica 0.065% 0.070% 1 2,185,506 46.5% $21,025
83
Macau 0.063% 0.055% 1 386,847 66.4% $115,420
84
Luxembourg 0.063% 0.063% 1 488,286 94.8% $90,824
85
Guatemala 0.060% 0.084% 1 2,885,475 20.1% $14,841
86
Panama 0.060% 0.090% 1 1,548,016 43.5% $27,591
87
Bangladesh 0.060% 0.066% 1 10,808,246 6.6% $3,925
88
Bolivia 0.056% 0.075% 1 4,199,437 40.1% $9,452
89
Bahrain (!) 0.051% 0.061% 1 1,182,680 92.3% $30,705
90
Ghana 0.051% 0.060% 1 4,378,878 17.4% $8,232
91
Latvia 0.047% 0.039% 1 1,628,854 74.8% $20,492
92
Cyprus 0.042% 0.040% 1 767,374 66.4% $38,435
93
Bosnia-Herzegovina 0.042% 0.057% 1 2,628,846 67.8% $11,211
94
Yemen 0.040% 0.050% 1 5,210,593 20.5% $5,493
95
Paraguay 0.039% 0.059% 1 2,473,724 37.3% $11,260
96
El Salvador 0.039% 0.046% 1 1,649,980 27.0% $16,548
97
Libya 0.038% 0.050% 1 1,030,289 17.2% $26,382
98
Jordan 0.038% 0.053% 1 2,885,403 44.5% $9,401
99
Iraq 0.038% 0.045% 1 2,997,884 9.4% $8,992
100
Tanzania 0.038% 0.041% 1 6,949,479 14.4% $3,824
101
Estonia 0.037% 0.029% 1 1,006,337 79.5% $25,876
102
Trinidad & Tobago 0.032% 0.044% 1 780,858 63.7% $29,138
103
Jamaica 0.032% 0.025% 1 1,581,100 54.3% $14,177
104
Honduras 0.030% 0.043% 1 1,530,543 18.1% $14,051
105
Georgia 0.030% 0.042% 1 2,127,364 46.7% $9,838
106
Uganda 0.029% 0.041% 1 5,818,864 16.7% $3,542
107
Macedonia 0.029% 0.035% 1 1,280,132 61.3% $16,018
108
Albania 0.028% 0.047% 1 1,815,146 60.3% $10,945
109
Botswana 0.027% 0.031% 1 323,368 15.2% $59,270
110
Brunei Darussalem 0.027% 0.034% 1 318,900 76.7% $59,992
111
Mauritius 0.020% 0.023% 1 519,150 39.3% $26,845
112
Armenia 0.019% 0.028% 1 1,800,000 60.5% $7,596
113
Senegal 0.018% 0.020% 1 2,849,909 21.4% $4,546
114
Kosovo 0.018% 0.029% 1 1,424,149 77.1% $9,079
115
Zambia 0.018% 0.020% 1 2,254,329 15.9% $5,563
116
Iceland 0.018% 0.013% 1 306,402 97.2% $40,765
117
Nepal 0.017% 0.020% 1 4,121,268 13.5% $2,961
118
Turkmenistan (!) 0.014% 0.014% 1 496,507 9.7% $20,171
119
Malta 0.014% 0.013% 1 284,361 69.1% $34,264
120
Moldova 0.013% 0.019% 1 1,748,645 48.3% $5,351
121
Bahamas 0.013% 0.020% 1 235,797 73.9% $39,647
122
Kyrgyzstan 0.013% 0.023% 1 2,194,400 39.6% $4,236
123
Mongolia 0.012% 0.014% 1 635,999 19.7% $13,068
124
Cameroon 0.012% 0.015% 1 1,480,365 7.2% $5,522
125
Namibia 0.011% 0.013% 1 305,578 14.0% $26,187
126
Nicaragua 0.011% 0.016% 1 906,539 15.7% $8,642
127
Barbados 0.0093% 0.011% 1 217,260 75.2% $30,409
128
Gabon 0.0087% 0.010% 1 153,879 9.4% $40,035
129
Montenegro 0.0085% 0.011% 1 369,220 56.5% $16,396
130
Equatorial Guinea 0.0081% 0.0072% 1 118,450 16.8% $48,224
131
Laos 0.0080% 0.011% 1 850,425 12.7% $6,703
132
Tajikistan 0.0079% 0.012% 1 1,288,242 16.3% $4,353
133
Cambodia 0.0070% 0.0086% 1 927,500 6.1% $5,348
134
Haiti 0.0067% 0.0076% 1 1,059,653 10.7% $4,465
135
Swaziland 0.0066% 0.0079% 1 350,647 25.0% $13,370
136
Ethiopia 0.0064% 0.0066% 1 1,836,035 2.0% $2,484
137
Rwanda 0.0063% 0.0084% 1 1,073,331 8.9% $4,175
138
Suriname 0.0063% 0.0094% 1 214,418 37.8% $20,732
139
Mozambique 0.0060% 0.0075% 1 1,333,375 5.5% $3,169
140
Jersey 0.0057% 0.0060% 1 45,800 47.8% $87,974
141
Cote D'Ivoire 0.0056% 0.0093% 1 968,000 4.3% $4,124
142
Guyana 0.0056% 0.0058% 1 242,733 32.8% $16,444
143
Afghanistan 0.0053% 0.0081% 1 1,877,548 6.0% $2,001
144
Zimbabwe 0.0051% 0.0048% 1 2,547,768 19.3% $1,420
145
Congo 0.0050% 0.0089% 1 307,721 6.8% $11,568
146
Liechtenstein 0.0046% 0.0091% 1 35,000 94.6% $92,915
147
Andorra 0.0044% 0.0068% 1 80,331 94.2% $38,773
148
Burkina Faso 0.0043% 0.0046% 1 808,065 4.5% $3,728
149
Fiji 0.0041% 0.0045% 1 335,090 37.4% $8,687
150
Bhutan 0.0041% 0.0048% 1 219,359 30.2% $13,229
151
Guernsey 0.0037% 0.0022% 1 48,300 73.6% $54,661
152
Monaco 0.0036% 0.0034% 1 27,671 90.7% $91,473
153
Maldives 0.0035% 0.0051% 1 173,575 44.1% $14,338
154
Myanmar (!) 0.0032% 0.0032% 1 668,955 1.2% $3,375
155
Malawi 0.0030% 0.0046% 1 931,054 5.5% $2,317
156
Saint Lucia 0.0030% 0.0034% 1 142,900 87.8% $15,082
157
Greenland 0.0030% 0.0032% 1 52,000 90.1% $41,283
158
Seychelles 0.0030% 0.0029% 1 46,192 50.8% $45,746
159
Antigua & Barbuda 0.0028% 0.0033% 1 74,057 82.1% $26,888
160
Benin 0.0028% 0.0014% 1 497,867 5.0% $3,961
161
Belize 0.0028% 0.0035% 1 108,048 32.3% $18,227
162
Dem Rep Of The Congo 0.0023% 0.0026% 1 1,703,542 2.3% $965
163
Cape Verde 0.0023% 0.0037% 1 201,950 38.0% $8,048
164
Gambia 0.0023% 0.0027% 1 269,574 14.3% $5,918
165
Faroe Islands 0.0021% 0.0020% 1 44,952 90.4% $32,705
166
San Marino 0.0019% 0.0022% 1 17,000 52.4% $81,093
167
Mali 0.0018% 0.0027% 1 444,309 2.8% $2,926
168
Chad 0.0018% 0.0024% 1 262,478 2.3% $4,888
169
Mauritania 0.0017% 0.0020% 1 218,042 6.3% $5,659
170
Madagascar 0.0017% 0.0025% 1 510,442 2.3% $2,406
171
St Vincent & Grenadines 0.0016% 0.0028% 1 76,000 73.6% $15,189
172
Papua New Guinea 0.0014% 0.00065% 1 135,000 2.1% $7,352
173
Grenada 0.0013% 0.0016% 1 38,553 35.2% $24,731
174
Togo 0.0012% 0.0012% 1 356,300 5.0% $2,437
175
Dominica 0.0012% 0.0013% 1 43,335 59.1% $19,975
176
St Kitts & Nevis 0.0011% 0.0011% 1 41,230 80.6% $19,538
177
Eritrea 0.00096% 0.0014% 1 377,363 6.1% $1,800
178
Micronesia 0.00078% 0.00055% 1 29,379 27.7% $18,801
179
Niger 0.00077% 0.00098% 1 296,925 1.8% $1,839
180
Tonga 0.00074% 0.00089% 1 37,254 35.0% $14,075
181
Djibouti 0.00072% 0.00099% 1 76,967 9.7% $6,636
182
Central African Rep 0.00066% 0.00084% 1 184,729 3.6% $2,516
183
Samoa 0.00063% 0.00058% 1 30,084 15.4% $14,848
184
Guinea 0.00062% 0.00075% 1 183,590 1.6% $2,385
185
Lesotho 0.00061% 0.00071% 1 97,100 5.0% $4,472
186
Solomon Islands 0.00058% 0.00060% 1 48,791 8.2% $8,379
187
Burundi 0.00057% 0.00058% 1 405,441 3.7% $990
188
Vanuatu 0.00052% 0.00060% 1 30,164 11.5% $12,146
189
Sierra Leone 0.00041% 0.00044% 1 97,643 1.7% $2,976
190
Marshall Islands 0.00039% 0.00029% 1 8,580 12.3% $32,586
191
Sao Tome And Principe 0.00034% 0.000001% 1 43,798 23.4% $5,524
192
Comoros 0.00031% 0.00034% 1 49,846 6.6% $4,410
193
Somalia 0.00031% 0.00022% 1 156,420 1.5% $1,401
194
North Korea (!) 0.00030% 0.00056% 1 50,000 0.2% $4,203
195
Liberia 0.00028% 0.00030% 1 188,246 4.7% $1,056
196
Kiribati 0.00026% 0.00031% 1 12,016 11.6% $15,234
197
Guinea Bissau 0.00019% 0.00019% 1 52,495 3.2% $2,625
198
Palau 0.00018% 0.00015% 1 6,560 31.1% $19,757
199
East Timor 0.00013% 0.00015% 1 13,217 1.1% $7,066
200
Cook Islands 0.00011% 0.000098% 1 6,000 57.4% $12,838
201
Tuvalu 0.000036% 0.000058% 1 4,300 40.2% $5,931
202
Vatican City State 0.000034% 0.000049% 1 480 57.2% $49,465
203
Niue 0.000010% 0.000005% 1 1,100 89.5% $6,265
204
Nauru 0.000009% 0.000001% 1 560 5.9% $11,674

T-Index Map 2013

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 21.6%, is the market with the highest potential for online sales in 2013, with more than 268 million Internet users, each with an average GDP per capita of $ 57,025.

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 4.3% market share, is the market with the greatest potential for online sales, given its 69,779,160 Internet users with an average GDP per capita of $ 43,615.
T-Index has therefore acted as a deciding factor in the choice of German as a new language for the site.

Variations 2005-2017 | NEW!


News & Forecasts


The 2013 rankings show India entering in 9th place, and Italy falling out of the top 10. Between 2012 and 2013, India saw its market share increase by 38.8%, enabling it to rise from 14th to 9th in the T-Index rankings. While traditional market powers like the United States, Japan, Germany, the UK and France see their T-Index values decline in 2013, China, Brazil and Russia either maintain or increase their market share. Mexico retains 12th place, while Canada falls from 11th to 13th. Further down the rankings, Argentina rises past the Netherlands into 19th place, while South Africa experienced strong growth (+41.1%), going up from 31st to 24th between 2012 and 2013.

To calculate the projection up to 2017, we have extrapolated a line between the 2005 and 2013 data points, using simple linear regression*. The projection assumes a linear growth trend for all countries.

According to the T-Index projections, China overtakes the United States to take 1st place in 2015, with a market share equal to 18.0%, compared to 14.4% in 2013. The United States drops to 2nd place, with a market share down by 3.8 points, from 21.6% in 2013 to 17.8% in 2015. In 2017, China retains the top spot and widens the gap with the United States, posting a market share of 21.0%, compared to 14.8% for the United States.

Japan maintains its 3rd place up to 2017, despite a fall of 29.0% in its market share compared to 2013.

With a variation in its market share estimated at +14.0%, Brazil wins 5th place in 2014, passing both the UK and France. In 2016, Brazil may climb to 4th place, also leaving Germany in its wake, which suffers a 10.2% fall compared to 2013.

Russia moves from 8th to 6th place in 2014, with a +6.1% variation compared to 2013.

As early as 2014, France and the UK might therefore be relegated to 7th and 8th respectively, behind Brazil and Russia.

Among emerging countries, China, Brazil, Russia, India, Turkey, Argentina, Poland, Indonesia and Saudi Arabia all see growth in the projections for 2017. Among the countries with the fastest growing market share between 2013 and 2017 are China (+45.8%), Saudi Arabia (+35.8%), Indonesia (+34.8%), Brazil (+32.2%) and Argentina (+27.2%).

*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 0.49%, 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 8.9% 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 127,253,075. The Internet penetration rate is therefore 86.1%. In 2013, the GDP per capita of Japan was estimated at $ 36,605. According to income distribution by quintiles, we estimate that 86.1% of the richest people in Japan own 94.87% 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: (127,253,075 x 36,605 x 94.87%) / 109,626,672
The estimated GDP per capita of the Internet population in Japan is thus $ 40,313.

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 $ 40,313. 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 6.3%.

*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 31 December 2013.

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 2013. 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 2013, 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://en.rsf.org/internet.html.

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 2013 (www.translated.net/en/languages-that-matter), conducted by Translated, the leading professional online translation agency, providing language services to over 50,000 international customers for more than 15 years.

Credits

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Contacts

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