T-Index 2011, the markets that matter on the web

Version history


Which markets offer the most potential for your website?


T-Index is a statistical index that shows online market share per country. It combines the Internet population and its estimated GDP per capita.

T-Index assists companies in identifying their target markets and in selecting the right languages to translate their websites. This helps ensure online success and increase localization-derived revenue.

The study was conducted by Translated, a language service provider that has offered professional translation services for over 10 years, helping its customers achieve the best ROI from their website translation investments.

The underlying criteria for the study are described below.

2015 T-Index Projection | NEW!

2011-2015 trend showing the countries with the highest potential for online sales

2011 Data summary

T-Index for beginners

Sort by Country Sort by Language Sort by Region

Trend
2015*
Countries T-Index
2011
T-Index
2015
Projection
Languages Internet population Internet
penetration
GDP p.c. of Int. pop.**
Download CSV
(!) Restricted access to internet.
* The arrows and the dash indicate the country's performance in the 2015 ranking.
** GDP per capita of the Internet population
Note: The Internet population of North Korea and the GDP per capita of the Internet population of the Vatican were estimated by our agency.
1
USA 24.4% 16.8% 1 245,000,000 78.2% $57,627
2
China (!) 11.5% 18.8% 1 485,000,000 36.3% $13,665
3
Japan 6.6% 4.9% 1 99,182,000 78.4% $38,690
4
Germany 4.9% 4.1% 1 65,125,000 79.9% $43,393
5
UK 3.7% 2.7% 1 51,442,100 82.0% $41,429
Localizing a website for these 5 markets gives you access to 50% of the worldwide online sales potential.
6
France 3.4% 3.3% 1 45,262,000 69.3% $43,529
7
Brazil 3.0% 4.3% 1 75,982,000 37.4% $22,674
8
Russia (!) 2.9% 3.7% 1 59,700,000 43.0% $27,909
9
South Korea 2.5% 2.2% 1 39,440,000 80.9% $36,287
10
Italy 2.3% 1.3% 1 30,026,400 49.2% $44,432
11
Canada 2.2% 1.7% 2 26,960,000 79.2% $47,139
12
Spain 2.0% 1.9% 2 29,093,984 62.2% $40,494
13
Mexico 2.0% 2.0% 1 34,900,000 30.7% $32,862
14
Turkey (!) 1.5% 1.8% 1 35,000,000 44.4% $24,198
15
India 1.5% 1.9% 2 100,000,000 8.4% $8,396
16
Australia 1.4% 1.2% 1 17,033,826 78.3% $48,558
17
Taiwan 1.3% 1.1% 1 16,147,000 70.0% $48,027
18
Iran (!) 1.2% 1.8% 1 36,500,000 46.9% $18,970
19
Netherlands 1.2% 1.0% 1 14,872,200 88.3% $45,816
20
Argentina 1.1% 1.5% 1 27,568,000 66.0% $23,608
Localizing a website for these 20 markets gives you access to 80% of the worldwide online sales potential.
21
Poland 1.1% 1.3% 1 22,452,100 58.4% $27,306
22
Saudi Arabia (!) 0.78% 1.2% 1 11,400,000 43.6% $39,398
23
Indonesia 0.72% 0.87% 1 39,600,000 16.1% $10,480
24
Colombia 0.68% 1.1% 1 22,538,000 50.4% $17,417
25
Malaysia (!) 0.67% 0.66% 1 16,902,600 58.8% $22,772
26
Thailand (!) 0.64% 0.79% 1 18,310,000 27.4% $20,135
27
Sweden 0.62% 0.45% 1 8,397,900 92.4% $42,431
28
Belgium 0.61% 0.56% 2 8,113,200 77.8% $43,626
29
Hong Kong 0.54% 0.42% 1 4,878,713 68.5% $64,356
30
Switzerland 0.53% 0.41% 3 6,152,001 80.5% $50,059
31
Austria 0.52% 0.44% 1 6,143,600 74.8% $49,178
32
South Africa 0.47% 0.33% 2 6,800,000 13.9% $39,627
33
Singapore 0.46% 0.43% 2 3,658,400 77.2% $72,719
34
Philippines 0.44% 0.65% 1 29,700,000 29.2% $8,477
35
Egypt (!) 0.43% 0.65% 1 20,136,000 24.5% $12,248
36
Norway 0.42% 0.35% 1 4,431,100 94.4% $55,011
Localizing a website for these 36 markets gives you access to 90% of the worldwide online sales potential.
37
Venezuela 0.40% 0.57% 1 10,421,557 37.7% $22,442
38
Nigeria 0.40% 0.63% 1 43,982,200 28.3% $5,276
39
Chile 0.40% 0.36% 1 9,254,423 54.8% $25,013
40
United Arab Emirates (!) 0.38% 0.44% 1 3,555,100 69.0% $62,025
41
Czech Republic 0.36% 0.33% 1 6,680,800 65.6% $31,422
42
Greece 0.36% 0.31% 1 4,970,700 46.2% $41,707
43
Israel 0.36% 0.36% 1 5,263,146 70.4% $39,305
44
Denmark 0.34% 0.25% 1 4,750,500 85.9% $41,352
45
Peru 0.33% 0.41% 1 9,157,800 31.3% $20,684
46
Portugal 0.32% 0.12% 1 5,168,800 48.0% $35,601
47
Finland 0.31% 0.26% 1 4,480,900 85.2% $40,034
48
Vietnam (!) 0.31% 0.44% 1 29,268,606 32.3% $6,074
49
Ukraine 0.30% 0.41% 1 15,300,000 33.9% $11,194
50
Hungary 0.27% 0.30% 1 6,176,400 61.9% $25,398
51
Romania 0.27% 0.31% 1 7,786,700 35.5% $19,797
52
Ireland 0.27% 0.20% 1 3,042,600 65.1% $50,608
53
Pakistan 0.21% 0.29% 1 20,431,000 10.9% $5,877
54
New Zealand 0.20% 0.13% 1 3,600,000 83.9% $31,600
55
Morocco 0.19% 0.27% 1 13,213,000 41.3% $8,520
56
Kazakhstan 0.19% 0.32% 1 5,300,000 34.1% $21,208
57
Slovakia 0.19% 0.22% 1 4,063,600 74.2% $27,380
58
Belarus (!) 0.16% 0.21% 1 4,436,800 46.3% $20,951
59
Qatar 0.13% 0.15% 1 563,800 66.5% $134,330
60
Kuwait 0.13% 0.12% 1 1,100,000 42.4% $67,806
61
Bulgaria 0.13% 0.11% 1 3,395,000 47.9% $21,952
62
Algeria 0.12% 0.21% 1 4,700,000 13.4% $15,358
63
Ecuador 0.12% 0.17% 1 3,352,000 22.3% $21,003
64
Dominican Rep 0.12% 0.18% 1 4,116,870 41.3% $16,846
65
Tunisia (!) 0.11% 0.18% 1 3,600,000 33.9% $17,569
66
Oman 0.10% 0.15% 1 1,465,000 48.4% $40,689
67
Croatia 0.10% 0.10% 1 2,244,400 50.1% $26,285
68
Serbia 0.100% 0.15% 1 4,107,000 56.2% $14,056
69
Azerbaijan 0.099% 0.15% 1 3,689,000 44.1% $15,556
70
Lithuania 0.094% 0.10% 1 2,103,471 59.5% $25,807
71
Syria (!) 0.086% 0.15% 1 4,469,000 19.8% $11,148
72
Slovenia 0.083% 0.074% 1 1,298,500 64.9% $36,930
73
Uzbekistan (!) 0.083% 0.11% 1 7,550,000 26.8% $6,324
74
Puerto Rico 0.074% 0.032% 1 1,486,340 37.3% $28,835
75
Uruguay 0.072% 0.095% 1 1,855,000 56.1% $22,528
76
Costa Rica 0.071% 0.074% 1 2,000,000 43.7% $20,587
77
Luxembourg 0.067% 0.054% 1 424,500 84.3% $90,591
78
Cuba (!) 0.066% 0.13% 1 1,605,000 14.5% $23,651
79
Lebanon 0.064% 0.077% 1 1,201,820 29.0% $30,779
80
Guatemala 0.057% 0.088% 1 2,280,000 16.5% $14,554
81
Panama 0.053% 0.080% 1 959,900 27.7% $31,650
82
Sudan 0.052% 0.070% 1 4,200,000 9.3% $7,122
83
Latvia 0.051% 0.044% 1 1,503,400 68.2% $19,571
84
Bahrain (!) 0.045% 0.049% 1 649,300 53.5% $40,267
85
Sri Lanka (!) 0.041% 0.068% 1 1,776,900 8.3% $13,406
86
Estonia 0.041% 0.031% 1 971,700 75.7% $24,174
87
Cyprus 0.040% 0.026% 1 482,420 43.1% $48,008
88
Jamaica 0.037% 0.030% 1 1,581,100 55.1% $13,461
89
Bosnia-Herzegovina 0.037% 0.057% 1 1,441,000 31.2% $14,659
90
El Salvador 0.035% 0.039% 1 1,035,940 17.1% $19,710
91
Jordan 0.035% 0.053% 1 1,741,900 26.8% $11,571
92
Trinidad & Tobago 0.032% 0.046% 1 593,000 48.3% $31,552
93
Kenya 0.032% 0.049% 1 3,995,500 9.7% $4,657
94
Brunei Darussalem 0.032% 0.033% 1 318,900 79.4% $58,325
95
Bolivia 0.031% 0.046% 1 1,225,000 12.1% $14,830
96
Paraguay 0.030% 0.048% 1 1,104,700 17.1% $15,676
97
Macedonia 0.029% 0.036% 1 1,057,400 50.9% $16,080
98
Albania 0.027% 0.050% 1 1,300,000 43.4% $11,938
99
Macau 0.025% 0.031% 1 280,900 49.0% $50,756
100
Georgia 0.024% 0.036% 1 1,300,000 28.3% $10,809
101
Yemen 0.023% 0.023% 1 2,349,000 9.7% $5,708
102
Honduras 0.022% 0.034% 1 958,500 11.8% $13,224
103
Angola 0.021% 0.035% 1 607,400 4.6% $19,834
104
Iceland 0.020% 0.014% 1 301,600 97.0% $38,906
105
Libya 0.020% 0.026% 1 353,900 5.4% $33,077
106
Armenia 0.019% 0.017% 1 1,396,550 47.1% $7,750
107
Uganda 0.018% 0.033% 1 3,200,000 9.2% $3,309
108
Mauritius 0.017% 0.021% 1 290,000 22.2% $33,845
109
Ghana 0.017% 0.021% 1 1,297,000 5.2% $7,488
110
Malta 0.015% 0.012% 1 240,600 58.9% $36,166
111
Kyrgyzstan 0.015% 0.023% 1 2,194,400 39.3% $3,843
112
Moldova 0.014% 0.020% 1 1,333,000 30.9% $6,255
113
Bahamas 0.013% 0.021% 1 155,820 49.7% $47,265
114
Iraq 0.012% 0.015% 1 860,400 2.8% $7,735
115
Botswana 0.011% 0.015% 1 121,600 5.9% $52,908
116
Bangladesh 0.010% 0.011% 1 1,735,020 1.1% $3,460
117
Barbados 0.010% 0.014% 1 188,000 65.6% $31,102
118
Kosovo 0.010% 0.021% 1 377,000 20.7% $15,489
119
Nicaragua 0.0094% 0.013% 1 600,000 10.6% $9,059
120
Montenegro 0.0085% 0.011% 1 303,480 45.9% $16,218
121
Liechtenstein 0.0074% 0.013% 1 23,000 65.3% $186,275
122
Jersey 0.0070% 0.0067% 1 45,800 48.6% $88,031
123
Senegal 0.0069% 0.0093% 1 923,000 7.3% $4,344
124
Cameroon 0.0068% 0.012% 1 750,000 3.8% $5,212
125
Haiti 0.0068% 0.0091% 1 1,000,000 10.3% $3,909
126
Nepal 0.0067% 0.0084% 1 1,072,900 3.7% $3,602
127
Gabon 0.0066% 0.0083% 1 98,800 6.3% $38,612
128
Andorra 0.0064% 0.0094% 1 67,200 79.2% $55,055
129
Zambia 0.0063% 0.010% 1 816,700 5.9% $4,450
130
Namibia 0.0063% 0.0077% 1 127,500 5.9% $28,469
131
Cote D'Ivoire 0.0063% 0.010% 1 968,000 4.5% $3,741
132
Guyana 0.0059% 0.0059% 1 220,000 29.5% $15,391
133
Suriname 0.0057% 0.0081% 1 163,000 33.1% $20,181
134
Mongolia 0.0055% 0.0070% 1 350,000 11.2% $9,132
135
Laos 0.0054% 0.0083% 1 527,400 8.1% $5,957
136
Tajikistan 0.0052% 0.0094% 1 700,000 9.2% $4,270
137
Congo 0.0051% 0.0084% 1 245,200 5.8% $11,923
138
Guernsey 0.0046% 0.0017% 1 48,300 74.2% $54,562
139
Tanzania 0.0039% 0.0052% 1 676,000 1.6% $3,373
140
Greenland 0.0035% 0.0027% 1 52,000 90.2% $39,247
141
Saint Lucia 0.0035% 0.0037% 1 142,900 88.5% $14,214
142
Cambodia 0.0034% 0.0034% 1 329,680 2.2% $5,950
143
Zimbabwe 0.0032% 0.0030% 1 1,422,000 11.8% $1,315
144
Afghanistan 0.0032% 0.0066% 1 1,000,000 3.4% $1,868
145
Seychelles 0.0031% 0.0031% 1 33,900 38.0% $52,676
146
Antigua & Barbuda 0.0030% 0.0038% 1 65,000 74.0% $27,118
147
Maldives 0.0030% 0.0043% 1 107,460 27.2% $16,215
148
Rwanda 0.0030% 0.0050% 1 450,000 4.0% $3,837
149
Mozambique 0.0027% 0.0043% 1 613,600 2.7% $2,529
150
Faroe Islands 0.0026% 0.0027% 1 37,500 76.1% $39,674
151
Belize 0.0025% 0.0029% 1 60,000 18.7% $24,122
152
Turkmenistan (!) 0.0025% 0.0036% 1 80,400 1.6% $17,755
153
Malawi 0.0025% 0.0041% 1 716,400 4.5% $1,979
154
Fiji 0.0023% 0.0021% 1 120,640 13.7% $11,048
155
Cape Verde 0.0023% 0.0036% 1 150,000 29.1% $8,845
156
Swaziland 0.0023% 0.0035% 1 90,000 6.6% $14,475
157
St Vincent & Grenadines 0.0019% 0.0034% 1 76,000 73.2% $14,472
158
Ethiopia 0.0017% 0.0028% 1 447,300 0.5% $2,151
159
Monaco 0.0016% 0.0013% 1 29,820 97.6% $30,501
160
San Marino 0.0016% 0.0024% 1 17,000 53.4% $53,272
161
Papua New Guinea 0.0015% 0.00047% 1 125,000 2.0% $7,059
162
Grenada 0.0015% 0.0016% 1 33,040 30.5% $25,758
163
Bhutan 0.0015% 0.0021% 1 53,280 7.5% $15,956
164
Chad 0.0014% 0.0020% 1 187,800 1.7% $4,378
165
Madagascar 0.0014% 0.0023% 1 320,000 1.5% $2,523
166
Mali 0.0013% 0.0021% 1 250,000 1.8% $3,055
167
Gambia 0.0013% 0.0019% 1 130,100 7.2% $5,592
168
Benin 0.0012% 0.00011% 1 200,000 2.1% $3,423
169
Togo 0.0012% 0.0013% 1 356,300 5.3% $1,893
170
Equatorial Guinea 0.0012% 0.0018% 1 14,400 2.2% $46,245
171
Dominica 0.0011% 0.00094% 1 27,500 37.7% $24,061
172
Dem Rep Of The Congo 0.0011% 0.0014% 1 696,520 1.0% $880
173
Burkina Faso 0.0011% 0.0015% 1 178,200 1.1% $3,428
174
St Kitts & Nevis 0.0010% 0.00091% 1 22,140 44.0% $26,825
175
Eritrea (!) 0.00076% 0.0011% 1 250,000 4.2% $1,749
176
Mauritania 0.00066% 0.00100% 1 75,000 2.3% $5,050
177
Djibouti 0.00063% 0.00068% 1 58,700 7.8% $6,164
178
Myanmar (!) 0.00060% 0.00043% 1 110,000 0.2% $3,170
179
Lesotho 0.00053% 0.00067% 1 76,800 4.0% $4,015
180
Guinea 0.00041% 0.00056% 1 95,000 0.9% $2,511
181
Central African Rep 0.00038% 0.00038% 1 94,440 1.9% $2,347
182
North Korea (!) 0.00037% 0.00061% 1 50,000 0.2% $4,300
183
Vanuatu 0.00035% 0.00051% 1 17,000 7.6% $11,799
184
Niger 0.00034% 0.00057% 1 115,900 0.7% $1,702
185
Somalia 0.00026% 0.00018% 1 106,000 1.1% $1,433
186
Tonga 0.00026% 0.00042% 1 8,400 7.9% $17,985
187
Burundi 0.00025% 0.00029% 1 157,800 1.5% $919
188
Sao Tome And Principe 0.00025% 0.000001% 1 26,700 14.9% $5,307
189
Samoa 0.00022% 0.00024% 1 9,000 4.7% $14,387
190
Solomon Islands 0.00022% 0.00021% 1 16,200 2.8% $7,863
191
Micronesia 0.00021% 0.00018% 1 17,000 15.9% $7,038
192
Kiribati 0.00020% 0.00016% 1 7,800 7.7% $14,841
193
Comoros 0.00018% 0.00022% 1 24,300 3.1% $4,209
194
Palau 0.00016% 0.00012% 1 5,400 25.8% $16,924
195
Guinea Bissau 0.00016% 0.00017% 1 37,100 2.3% $2,447
196
Sierra Leone 0.00015% 0.000099% 1 40,480 0.8% $2,087
197
Cook Islands 0.00014% 0.000090% 1 6,000 53.9% $13,328
198
Marshall Islands 0.000047% 0.000041% 1 4,560 6.8% $5,973
199
Tuvalu 0.000043% 0.000057% 1 4,300 40.8% $5,783
200
Vatican City State 0.000041% 0.000048% 1 480 57.7% $49,595
201
Liberia 0.000032% 0.000062% 1 20,000 0.5% $938
202
East Timor 0.000023% 0.000030% 1 2,100 0.2% $6,342
203
Niue 0.000013% 0.000007% 1 1,100 83.9% $6,568
204
Nauru 0.000006% 0.000001% 1 300 3.2% $11,945

T-Index Map

T-Index Map

T-Index is a percentage value that indicates the online market share of each country on the Internet by combining the Internet population and its estimated GDP per capita. The higher the T-Index, the higher the online sales potential in a country.


Internet Freedom Map | Source: Reporters without Borders http://en.rsf.org

Internet Censorship

In certain countries, translating your website content may not be enough to transform local Internet users into potential customers. Above is a map of countries currently imposing restrictions on Internet access.

T-Index for beginners


T-Index was developed to help companies identify their target markets and select the appropriate languages for translating their websites.

Choosing among different potential markets is not easy. T-Index helps identify the market-language combination most appropriate for your investment with regards to customer base and online sales potential.

With a T-Index of 24.4%, the Unites States is the market with the highest potential for online sales. As such, it comprises 245 million internet users worldwide with an average GDP per capita of $57,627.

Before localizing a website for any country, we recommend you fully understand the local market and country, to ascertain whether the market is accessible.

Have you considered the following?

Example 1

An English company has a website in English and Spanish and wants to translate it into one other language. After conducting a market analysis, the marketing manager determines that France, Germany, and Italy offer the highest success prospects for the company's products. Using T-Index, they quickly find out that Germany, with a market share of 4.9%, constitutes the market with the highest potential for online sales, as it comprises 65,125,000 Internet users that have an average GDP per capita of $43,393. Therefore, the T-Index has been the decisive factor in choosing the German language for the website translation.

Example 2

A U.S. company has a website in English and Spanish and wants to translate it into one other language. Having reviewed the T-Index sorted by language, the marketing manager soon discovers that Simplified Chinese, Japanese, and German are the languages with the highest potential for online sales in 2011. Upon clicking on the plus sign on the data summary table to obtain a complete view of the countries these three linguistic markets comprise, the marketing manager realizes, however, that the Chinese language market comprises two countries, whereas the German and Japanese languages each constitute only one country (Germany and Japan). After studying the local markets, the manager realizes that the website translation into Chinese may only be relevant for Singapore should an eventual censorship on its products come into play in China. On the other hand, there is no problem for the company in accessing the Japanese or German markets. This gives the following real values for each language:

The Japanese language market share exceeds that of the German language. Therefore, the company chooses to translate its website into Japanese.

2015 Projection


To calculate the projection through 2015, we have extrapolated a line between the 2005 and 2011 data points using Simple Linear Regression*.

The projection assumes a linear growth trend for all countries. Should China sustain its 2005-2009 growth rate through 2015, it will overtake the United States. However, comparing 2005-2009 data with those of the past 2 years, it seems China's trend is slowing slightly, which may impact our 2015 projection. The 2012 T-Index will indicate whether these trends are continuing.

According to the T-Index projections for 2015, China, with a projected market share of 18.8%, compared to 11.5% in 2011, will overtake the Unites States. In addition, the United States will see its online sales potential drop from 24.4% in 2011 to 16.8% by 2015.

Japan will remain third overall despite a market share reduction of -25.7% compared to 2011.

Brazil, with an estimated market share change of +43.3%, will rise to fourth position by 2015, leaving behind Germany, down 16.3%.

Russia will move up two places to finish sixth overall, with a change of +27.5%.

France will drop one position following a -2.9% change.

According to the projections, the United Kingdom will move from fifth, down to eight, which corresponds to a market share change of -27% by 2015.

South Korea will remain unaffected, despite a -12% change by 2015.

Somewhat unexpectedly, Mexico breaks into the top 10, replacing Italy, which will decrease by -43.4% by 2015.

All emerging countries including China, Brazil, Russia, India, Indonesia, Turkey and Poland see growth in the 2015 projection with the exception of South Korea and Taiwan, which drop by -12% and -15.4%, respectively. The top emerging countries by growth are China (+63.4%), Brazil (+43.3%), Russia (+27.5%), India (+26.6%) and Indonesia (+20,8%).

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

The study

Assumptions and method

T-Index was developed to help companies choose their target markets and the right languages for translating their websites.

Each country has been assessed according to a single language, except where the T-index value of the country is in excess of 0.1%, in which case we have assessed the country within several language markets. For example, Switzerland, which has a T-index of 0.53%, has been assessed in three different language markets (German, French, and Italian). As country language, we have considered that used for business, written communication, and the Internet.

A lot of languages in use today are not yet represented on the Internet. In many African and Caribbean countries, for example, English is the official language and often the unifying language, widely used in government, public administration, education, business and online. Local languages are often spoken as everyday informal languages by the majority of the population. The T-Index study only considered languages that are used for business, written communication, and the Internet.

Languages that have international variations depending on the country have been grouped together into their respective standard language. As an example, UK English and US English have been classified under the English language.

Dependent territories have been evaluated according to the governing state, if 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 they belong to.

The T-Index study includes every country for which we were able to find data concerning the number of Internet users and GDP per capita. Without such data, it would have been impossible to make an evaluation.

Furthermore, in order to determine the GDP per capita of the Internet population, we made the assumption that Internet users in each country belong to the richest segment of the country’s population. We did this because T-Index is meant to gauge commercial opportunity and is aimed at identifying people who have the financial means and tools to surf and buy 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 which is theoretically earned by Internet users, the average Internet user GDP per capita. Finally, from this information, we were able to establish a value for each country.

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

The T-Index is a useful tool for companies making website translation decisions. But other factors, not just the absolute sizes of each market, need to be considered when choosing languages for translation (factors like local market demand, competition, etc.). Website translation is a necessary step towards attracting new customers, but other key factors, such as the quality of the products and services or the user-friendliness of the interface, are essential in attracting new customers and ensuring they make a buying decision.

Example

In Japan, the number of Internet users is 99,182,000 out of a total population of 126,475,664. The Internet penetration rate is 78,4%. The 2011 GDP per capita of Japan was $34,362.071. According to income distribution by quintiles, we estimated that 78,4% of the richest Japanese earn 88.30% of Japan’s wealth. To obtain the GDP per capita of the Internet population, we made a simple calculation:

(total population x GDP per capita x part of wealth earned by Internet users) / number of Internet users

of Japan: (126,475,664 x 34,362.071 x 88.30%) / 99,182,000.
The estimated GDP per capita of the Internet population in Japan is $38,690.

To obtain the T-Index value, we multiplied the number of Internet users by the average GDP per capita of the Internet population. For Japan this is: 99,182,000 x $34,362.071. Finally, to obtain a percentage value for each country, we divided each country's T-Index value by the sum of T-Index values of all countries. This explains how we obtained a share potential of 6.7% for Japan.

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

Sources

Statistics used in the T-Index study were taken from the following reliable Internet based sources.

The number of Internet users for each country was taken from the Internet World Stats website which provides up-to-date world Internet statistics: http://www.internetworldstats.com/stats.htm. The statistics were up-to-date as of June 30, 2011.

In order to assign each country to a language market, we looked at the most commonly used languages in business, and online, in each country in question. 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 was taken from the Central Intelligence Agency World Factbook (Washington, DC): https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html. The statistics are estimates from the US Census Bureau, July, 2011.

GDP (Gross Domestic Product) per capita data were taken from the International Monetary Fund World Economic Outlook Database of September 2011. The data refer to 2011 and is presented in current international dollars. For the countries or territories for which the GDP per capita was not indicated in the International Monetary Fund World Economic Outlook Database, the data were taken from the Central Intelligence Agency World Factbook.

To determine if a country has restricted access to online information, we looked at the ranking given by the international non-governmental organization Reporters without Borders, available on its official website: http://en.rsf.org/internet.html.

The percentage shares of income indicated by quintiles were taken from the online statistical data of the World Bank's Development Research Group: http://data.worldbank.org/indicator/SI.DST.05TH.20. Not all the data refer to the same year (the World Bank data are from 1992 to 2009).

This material can be freely reused and shared only if a link back to this page is provided and it is made clear to the user that the data came from the T-Index study. Copy and paste the following statement:

The T-Index Study www.translated.net/en/languages-that-matter was carried out by Translated, a language service provider founded in 1999 that manages 53,000 translators in over 110 countries for 14,000 customers. In 2008, Translated was selected by Eurispes as representative of Italy's Excellence. Worldwide, Translated ranks amongst the most innovative LSPs in the development of productive processes to help translators in their daily endeavours.

Credits

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

Contacts

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

Tags

languages that matter, top languages, list of languages, website translate, website translation, most used languages, website localization, ranking languages, language market share, T-Index, languages online, Internet users, Internet usage, world languages, Internet statistics, Internet by language, business languages, Internet usage statistics, number of Internet users, Internet population, multilingual website, Internet penetration rate

We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies. Learn more OK