T-Index 2005, the languages that matter on the web

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Which languages offer the most potential for your website?


T-Index helps you identify the languages used by the people that will most likely buy from your website or your advertisers. It combines the Internet population and its estimated GDP per capita.

T-Index is a statistical index developed by Translated. It is a percentage value that indicates the market share of each language on the Internet and the languages that offer the best sales potential when translating your website.

T-Index data summary 2005

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  Countries T-Index Cumulative
T-Index
Languages Internet population Internet penetration GDP p.c. of Int. pop.*
(!) Restrictfed access to Internet
* 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. (!) Most of the population has restricted Internet access
1 USA 33.9% 33.888% 1 203,576,811 68.8 % $54,872
2 Japan 8.9% 42.806% 1 78,050,000 61.3 % $37,663
3 Germany 5.7% 48.501% 1 47,127,725 57.2 % $39,833
4 UK 4.9% 53.436% 1 37,800,000 62.5 % $43,041
5 France 3.6% 57.070% 1 25,614,899 42.2 % $46,759
6 Italy 3.6% 60.660% 1 28,870,000 49.7 % $40,989
7 China (!) 3.1% 63.724% 1 103,000,000 7.9 % $9,807
8 Canada 2.9% 66.577% 2 20,450,000 62.3 % $45,988
9 South Korea 2.8% 69.376% 1 32,570,000 67.0 % $28,325
10 Spain 2.2% 71.547% 2 16,129,731 40.0 % $44,370
11 Russia (!) 2.0% 73.512% 1 22,300,000 15.5 % $29,051
12 Mexico 1.8% 75.328% 1 16,995,400 16.0 % $35,207
13 Australia 1.8% 77.140% 1 13,991,612 69.6 % $42,698
14 Brazil 1.7% 78.832% 1 22,320,000 12.0 % $24,993
15 Taiwan 1.5% 80.379% 1 13,800,000 60.3 % $36,954
16 Netherlands 1.4% 81.828% 1 10,806,328 65.9 % $44,186
17 Turkey (!) 0.84% 82.670% 1 10,220,000 14.7 % $27,181
18 Poland 0.80% 83.471% 1 10,600,000 27.5 % $24,901
19 Sweden 0.79% 84.266% 1 6,800,000 75.5 % $38,509
20 Belgium 0.70% 84.969% 2 5,100,000 49.2 % $45,480
21 Switzerland 0.68% 85.645% 3 4,836,671 64.6 % $46,055
22 Hong Kong 0.67% 86.317% 1 4,878,713 70.7 % $45,434
23 Austria 0.63% 86.951% 1 4,650,000 56.8 % $44,946
24 Argentina 0.62% 87.575% 1 7,500,000 19.0 % $27,421
25 Malaysia (!) 0.62% 88.191% 1 10,040,000 41.9 % $20,203
26 India 0.59% 88.781% 2 39,200,000 3.6 % $4,965
27 Norway 0.54% 89.326% 1 3,140,000 68.4 % $57,198
28 Portugal 0.54% 89.865% 1 6,090,000 57.6 % $29,150
29 Greece 0.48% 90.347% 1 3,800,000 35.6 % $41,876
30 Singapore 0.48% 90.830% 2 2,421,000 54.7 % $65,668
31 Denmark 0.46% 91.292% 1 3,762,500 69.3 % $40,539
32 South Africa 0.45% 91.745% 2 4,780,000 10.8 % $31,240
33 Thailand (!) 0.45% 92.194% 1 8,420,000 13.1 % $17,582
34 Chile 0.42% 92.617% 1 5,600,000 35.0 % $24,857
35 Czech Republic 0.40% 93.020% 1 4,800,000 46.9 % $27,668
36 Saudi Arabia (!) 0.39% 93.411% 1 2,540,000 9.6 % $50,794
37 Finland 0.38% 93.789% 1 3,286,000 62.9 % $37,939
38 Israel 0.35% 94.142% 1 3,200,000 51.0 % $36,354
39 Iran (!) 0.34% 94.487% 1 5,500,000 8.1 % $20,667
40 Ireland 0.34% 94.832% 1 2,060,000 51.3 % $55,164
41 Indonesia 0.33% 95.166% 1 15,300,000 6.3 % $7,201
42 New Zealand 0.28% 95.450% 1 3,200,000 79.3 % $29,295
43 United Arab Emirates (!) 0.27% 95.724% 1 1,384,800 54.0 % $65,074
44 Romania 0.27% 95.989% 1 4,940,000 22.1 % $17,728
45 Hungary 0.26% 96.254% 1 3,050,000 30.5 % $28,567
46 Colombia 0.25% 96.500% 1 3,585,688 8.3 % $22,609
47 Peru 0.24% 96.736% 1 4,570,000 16.4 % $17,028
48 Venezuela 0.22% 96.960% 1 3,040,000 12.0 % $24,301
49 Philippines 0.18% 97.143% 1 7,820,000 8.9 % $7,715
50 Ukraine 0.17% 97.308% 1 5,278,100 11.2 % $10,341
51 Slovakia 0.16% 97.465% 1 2,276,000 41.9 % $22,759
52 Kuwait 0.14% 97.606% 1 600,000 25.7 % $77,388
53 Bulgaria 0.14% 97.743% 1 2,200,000 29.5 % $20,537
54 Egypt (!) 0.13% 97.869% 1 4,200,000 5.4 % $9,872
55 Puerto Rico 0.11% 97.982% 1 1,000,000 25.6 % $37,153
56 Croatia 0.11% 98.089% 1 1,303,000 29.0 % $27,212
57 Pakistan 0.11% 98.196% 1 7,500,000 4.6 % $4,696
58 Slovenia 0.097% 98.294% 1 950,000 47.2 % $33,727
59 Morocco 0.091% 98.385% 1 3,500,000 10.7 % $8,583
60 Vietnam (!) 0.087% 98.471% 1 5,870,000 7.0 % $4,864
61 Luxembourg 0.082% 98.553% 1 270,800 57.8 % $99,969
62 Lithuania 0.081% 98.634% 1 968,000 26.9 % $27,492
63 Qatar 0.080% 98.714% 1 165,000 19.1 % $159,042
64 Belarus (!) 0.076% 98.789% 1 1,600,000 15.5 % $15,583
65 Costa Rica 0.064% 98.854% 1 1,000,000 24.9 % $21,172
66 Serbia And Montenegro 0.056% 98.910% 1 1,200,000 11.1 % $15,516
67 Latvia 0.055% 98.965% 1 810,000 35.4 % $22,403
68 Estonia 0.050% 99.015% 1 670,000 50.3 % $24,387
69 Uruguay 0.049% 99.063% 1 680,000 19.9 % $23,558
70 Jamaica 0.048% 99.111% 1 1,067,000 39.0 % $14,835
71 Lebanon 0.045% 99.156% 1 600,000 15.7 % $24,795
72 Tunisia (!) 0.043% 99.199% 1 835,000 8.3 % $16,932
73 Dominican Rep 0.040% 99.240% 1 800,000 8.8 % $16,607
74 Cyprus 0.039% 99.279% 1 298,000 38.2 % $43,460
75 Oman 0.035% 99.314% 1 245,000 8.2 % $46,757
76 Algeria 0.033% 99.347% 1 845,000 2.6 % $12,908
77 Ecuador 0.033% 99.379% 1 624,600 4.7 % $17,171
78 El Salvador 0.029% 99.409% 1 587,500 8.8 % $16,544
79 Iceland 0.029% 99.438% 1 225,600 76.0 % $42,566
80 Bahrain (!) 0.029% 99.467% 1 152,700 22.2 % $62,637
81 Guatemala 0.028% 99.495% 1 756,000 6.3 % $12,091
82 Nigeria 0.023% 99.518% 1 1,769,700 1.4 % $4,364
83 Malta 0.023% 99.541% 1 301,000 75.5 % $25,153
84 Macedonia 0.023% 99.564% 1 392,671 19.2 % $19,114
85 Panama 0.022% 99.585% 1 300,000 9.6 % $23,725
86 Syria (!) 0.021% 99.607% 1 800,000 4.3 % $8,777
87 Kazakhstan 0.021% 99.628% 1 400,000 2.6 % $17,255
88 Brunei Darussalem 0.019% 99.647% 1 56,000 15.0 % $113,529
89 Macau 0.019% 99.666% 1 201,000 44.7 % $31,326
90 Jordan 0.018% 99.684% 1 600,000 10.4 % $9,726
91 Trinidad & Tobago 0.017% 99.701% 1 160,000 14.9 % $35,689
92 Libya 0.017% 99.718% 1 205,000 3.6 % $27,664
93 Kenya 0.017% 99.735% 1 1,500,000 4.4 % $3,721
94 Sudan 0.014% 99.750% 1 1,140,000 2.8 % $4,185
95 Mauritius 0.014% 99.763% 1 180,000 14.6 % $25,087
96 Bolivia 0.012% 99.775% 1 350,000 4.0 % $11,220
97 Azerbaijan 0.012% 99.787% 1 408,000 5.2 % $9,380
98 Uzbekistan (!) 0.012% 99.798% 1 880,000 3.3 % $4,313
99 Bosnia-Herzegovina 0.0089% 99.807% 1 225,000 5.1 % $12,985
100 Botswana 0.0074% 99.815% 1 60,000 3.7 % $40,668
101 Honduras 0.0073% 99.822% 1 223,000 3.1 % $10,820
102 Sri Lanka (!) 0.0072% 99.829% 1 280,000 1.4 % $8,496
103 Moldova 0.0066% 99.836% 1 406,000 9.1 % $5,342
104 Jersey 0.0064% 99.842% 1 27,000 29.7 % $78,069
105 Guernsey 0.0063% 99.849% 1 36,000 55.2 % $57,906
106 Guyana 0.0057% 99.854% 1 145,000 18.9 % $13,068
107 Ghana 0.0055% 99.860% 1 368,000 1.7 % $4,933
108 Angola 0.0054% 99.865% 1 172,000 1.5 % $10,295
109 Senegal 0.0053% 99.870% 1 482,000 4.1 % $3,591
110 Haiti 0.0051% 99.876% 1 500,000 6.2 % $3,376
111 Paraguay 0.0051% 99.881% 1 150,000 2.4 % $11,222
112 Namibia 0.0049% 99.886% 1 75,000 3.7 % $21,645
113 Georgia 0.0046% 99.890% 1 175,600 3.8 % $8,599
114 Bahamas 0.0044% 99.895% 1 93,000 308.2 % $15,628
115 Barbados 0.0040% 99.899% 1 150,000 537.9 % $8,860
116 Gabon 0.0038% 99.902% 1 40,000 2.9 % $31,526
117 Andorra 0.0036% 99.906% 1 24,500 34.7 % $48,819
118 Armenia 0.0035% 99.910% 1 150,000 5.0 % $7,768
119 Cote D'Ivoire 0.0034% 99.913% 1 300,000 1.7 % $3,761
120 Cuba (!) 0.0033% 99.916% 1 150,000 1.3 % $7,175
121 Seychelles 0.0033% 99.920% 1 20,000 24.6 % $53,652
122 Mongolia 0.0032% 99.923% 1 200,000 7.2 % $5,295
123 Sao Tome And Principe 0.0031% 99.926% 1 820,000 6.7 % $1,262
124 Zimbabwe 0.0031% 99.929% 1 820,000 6.7 % $1,246
125 Saint Lucia 0.0031% 99.932% 1 55,000 33.1 % $18,488
126 Greenland 0.0030% 99.935% 1 38,000 67.4 % $25,893
127 Kyrgyzstan 0.0029% 99.938% 1 263,000 5.1 % $3,649
128 Nicaragua 0.0028% 99.941% 1 125,000 2.3 % $7,265
129 Yemen 0.0027% 99.943% 1 180,000 0.9 % $4,989
130 Faroe Islands 0.0027% 99.946% 1 31,000 66.0 % $28,842
131 Albania 0.0026% 99.949% 1 75,000 2.1 % $11,508
132 Papua New Guinea 0.0026% 99.951% 1 170,000 3.1 % $4,990
133 Cameroon 0.0023% 99.954% 1 167,000 1.0 % $4,513
134 Tanzania 0.0023% 99.956% 1 333,000 0.9 % $2,260
135 Belize 0.0023% 99.958% 1 35,000 12.5 % $21,352
136 Antigua & Barbuda 0.0023% 99.960% 1 20,000 29.1 % $37,158
137 Zambia 0.0022% 99.963% 1 231,000 2.1 % $3,119
138 Liechtenstein 0.0021% 99.965% 1 20,000 59.3 % $34,946
139 Bangladesh 0.0021% 99.967% 1 300,000 0.2 % $2,312
140 Monaco 0.0020% 99.969% 1 16,000 49.4 % $41,366
141 Fiji 0.0018% 99.971% 1 61,000 6.8 % $9,953
142 Suriname 0.0018% 99.973% 1 30,000 6.8 % $19,932
143 Nauru 0.0015% 99.974% 1 300,000 2,299.2 % $1,698
144 Niue 0.0015% 99.976% 1 450,000 20,775.6 % $1,127
145 Nepal 0.0014% 99.977% 1 175,000 0.6 % $2,628
146 Uganda 0.0014% 99.978% 1 200,000 0.7 % $2,285
147 Swaziland 0.0013% 99.980% 1 36,000 3.2 % $12,120
148 Dominica 0.0012% 99.981% 1 18,500 26.8 % $21,533
149 Togo 0.0011% 99.982% 1 221,000 4.1 % $1,601
150 Turkmenistan (!) 0.0010% 99.983% 1 36,000 0.7 % $9,566
151 Congo 0.0010% 99.984% 1 36,000 1.0 % $9,475
152 St Kitts & Nevis 0.00092% 99.985% 1 10,000 25.7 % $30,353
153 Benin 0.00087% 99.986% 1 100,000 1.3 % $2,860
154 Mozambique 0.00077% 99.987% 1 138,000 0.7 % $1,832
155 Grenada 0.00074% 99.987% 1 8,000 8.9 % $30,542
156 Chad 0.00070% 99.988% 1 60,000 0.6 % $3,838
157 Maldives 0.00068% 99.989% 1 19,000 5.4 % $11,791
158 San Marino 0.00067% 99.989% 1 14,300 495.2 % $15,539
159 Gambia 0.00065% 99.990% 1 49,000 3.1 % $4,355
160 Iraq 0.00064% 99.991% 1 36,000 0.1 % $5,902
161 Madagascar 0.00061% 99.991% 1 90,000 0.5 % $2,229
162 St Vincent & Grenadines 0.00058% 99.992% 1 8,000 6.8 % $23,989
163 Bhutan 0.00057% 99.992% 1 20,000 0.9 % $9,358
164 Cape Verde 0.00055% 99.993% 1 25,000 6.0 % $7,274
165 Equatorial Guinea 0.00048% 99.993% 1 5,000 0.9 % $31,696
166 Cambodia 0.00047% 99.994% 1 41,000 0.3 % $3,791
167 Ethiopia 0.00043% 99.994% 1 113,000 0.2 % $1,245
168 Burkina Faso 0.00042% 99.995% 1 53,200 0.4 % $2,583
169 Lesotho 0.00040% 99.995% 1 43,000 2.1 % $3,080
170 Myanmar (!) 0.00040% 99.996% 1 63,700 0.1 % $2,055
171 Somalia 0.00039% 99.996% 1 89,000 1.0 % $1,435
172 Mali 0.00036% 99.996% 1 50,000 0.4 % $2,343
173 Guinea 0.00031% 99.997% 1 46,000 0.5 % $2,199
174 Rwanda 0.00029% 99.997% 1 38,000 0.5 % $2,490
175 Eritrea (!) 0.00027% 99.997% 1 50,000 1.1 % $1,797
176 Laos 0.00023% 99.997% 1 20,900 0.3 % $3,690
177 Micronesia 0.00023% 99.998% 1 12,000 11.1 % $6,398
178 Samoa 0.00022% 99.998% 1 6,000 3.4 % $12,267
179 Vanuatu 0.00020% 99.998% 1 7,500 3.6 % $8,953
180 Malawi 0.00020% 99.998% 1 46,100 0.4 % $1,405
181 Mauritania 0.00017% 99.998% 1 14,000 0.5 % $4,035
182 Guinea Bissau 0.00016% 99.999% 1 26,000 1.8 % $2,030
183 Tonga 0.00014% 99.999% 1 3,000 2.7 % $15,779
184 Solomon Islands 0.00014% 99.999% 1 8,400 1.6 % $5,523
185 Cook Islands 0.00013% 99.999% 1 3,600 16.8 % $11,959
186 Djibouti 0.00013% 99.999% 1 9,000 1.9 % $4,749
187 Dem Rep Of The Congo 0.00010% 99.999% 1 50,000 0.1 % $662
188 Niger 0.000097% 99.999% 1 24,000 0.2 % $1,336
189 Sierra Leone 0.000096% 99.999% 1 20,000 0.3 % $1,577
190 Comoros 0.000093% 100.000% 1 8,000 1.2 % $3,851
191 Afghanistan 0.000087% 100.000% 1 25,000 0.1 % $1,144
192 Kiribati 0.000086% 100.000% 1 2,000 1.9 % $14,106
193 Central African Rep 0.000054% 100.000% 1 9,000 0.2 % $1,994
194 Burundi 0.000054% 100.000% 1 25,000 0.3 % $716
195 Tajikistan 0.000044% 100.000% 1 5,000 0.1 % $2,927
196 North Korea (!) 0.000031% 100.000% 1 2,500 0.0 % $4,066
197 Vatican City State 0.000024% 100.000% 1 93 10.0 % $83,714
198 Marshall Islands 0.000023% 100.000% 1 2,000 3.4 % $3,827
199 East Timor 0.000013% 100.000% 1 1,000 0.1 % $4,406
200 Tuvalu 0.000010% 100.000% 1 1,300 11.2 % $2,631
201 Liberia 0.000002% 100.000% 1 1,000 0.0 % $719

T-Index Map.

Internet Censorship

In order to benefit from local users, translating your content just isn’t enough in some countries. Below is a map of countries for which the T-Index may provide information that is difficult to interpret without an understanding of local Internet limitations.

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

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.

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/.

GDP (Gross Domestic Product) per capita data were taken from the International Monetary Fund World Economic Outlook Database. 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:

T-Index Study, 2005 www.translated.net/en/languages-that-matter-2005. The T-Index Study was carried out by Translated, a translation agency whose fast and easy professional service is completely Internet-based. Translated was founded in 1999 and already serves 14,000 customers worldwide.

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

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