RESULTS – V3.0 (March 2022)

Indicators for the Presence of Languages in the Internet

NOTE: This is an archived version of the study. Click here to view the most up-to-date version

Results for Top Languages by Category of Indicator – V3.0 (March 2022)

All Indicators for 30 Languages with Higher Content Percentage

How it reads:

  • English L1+L2 speakers represent 13% of world L1+L2 population and 18% of Internet users, with a connectivityrate of 65%.
  • 22% of the Internet contents are in English.
  • The Virtual Presence coefficient of English is 1.5 (content/population)
  • The content productivity of English is 1.32 (content/internauts), the higher after Japanese.
RANK
CONTENTS
L1+L2
ISOLANGUAGES%
INTERNAUTS
%
WORLD
POP.
%
CONN.
%
CONTENTS
L1+L2
%
VIRT.PRES.
L1+L2
%
C.PROD.
L1+L2
1zhoChinese Macro18,46%14,72%71,38% 21,60%1,471,17 
2engEnglish14,83%13,01%64,86% 19,60%1,511,32 
3spaSpanish6,79%5,24%73,72% 7,85%1,501,16 
4hinHindi4,19%5,80%41,16% 3,76%0,650,90 
5rusRussian3,51%2,49%80,32% 3,76%1,511,07 
6fraFrench2,98%2,58%65,80% 3,33%1,291,12 
7porPortuguese2,99%2,49%68,43% 3,13%1,261,05 
8araArabic Macro3,97%3,53%63,99% 3,09%0,870,78 
9jpnJapanese1,99%1,22%92,63% 2,66%2,181,34 
10deuGerman, Standard2,04%1,30%89,17% 2,37%1,821,16 
11msaMalay Macro2,36%2,36%56,93% 1,96%0,830,83 
12turTurkish1,17%0,85%78,05% 1,14%1,350,98 
13itaItalian0,87%0,66%75,83% 1,00%1,531,14 
14korKorean0,90%0,79%65,16% 0,98%1,241,09 
15fasPersian Macro1,08%0,81%75,91% 0,88%1,090,82 
16benBengali1,11%2,58%24,55% 0,88%0,340,79 
17vieVietnamese0,92%0,74%70,96% 0,85%1,150,92 
18urdUrdu0,95%2,22%24,38% 0,66%0,300,70 
19thaThai0,80%0,59%77,95% 0,65%1,120,82 
20polPolish0,60%0,39%87,09% 0,63%1,591,04 
21marMarathi0,69%0,96%41,06% 0,58%0,600,83 
22telTelugu0,68%0,92%41,69% 0,56%0,600,82 
23tamTamil0,61%0,82%42,15% 0,51%0,620,83 
24javJavanese0,62%0,66%53,76% 0,44%0,660,70 
25nldDutch0,38%0,24%91,14% 0,41%1,731,08 
26gujGujarati0,44%0,60%41,47% 0,36%0,610,83 
27ukrUkrainian0,40%0,32%71,02% 0,35%1,090,88 
28kanKannada0,41%0,57%41,11% 0,33%0,590,82 
29ronRomanian0,32%0,23%79,57% 0,30%1,290,93 
30azeAzerbaijani Macro0,33%0,23%81,54% 0,28%1,210,85 
  REMAIN22,60%30,10%  15,13%   
  TOTAL100,00%100,00%  100,00%  

Top Languages in Terms of % of Speakers Connected to the Internet

Norwegian96.89%
Danish96.42%
Swedish93.94%
Catalan92.88%
Japanese92.63%
Finnish92.07%
German Swiss91.55%
Limburgish91.42%
West Flemish91.30%
Dutch91.14%
Galician91.07%
Saxon. Upper89.81%
Estonian Macro89.26%
German Standard89.17%
Latvian Macro89.04%
Bavarian88.24%

Top Languages in Virtual Presence Coefficient

This Virtual Presence Coefficient is computed as the % of contents divided by the % of L1+L2 speakers. A value of 1 indicates proportionality between speakers and connected populations.

Japanese2.18
Norwegian1.88
German. Standard1.82
Swedish1.82
Danish1.78
Dutch1.73
Finnish1.69
Catalan1.68
German, Swiss1.63
Polish1.59
Italian1.53
Estonian Macro1.51
Russian1.51
English1.51
Hebrew1.50
Greek1.50
Spanish1.50
Chinese Macro1.47
Latvian Macro1.46
Galician1.46

Content Productivity Indicator

This content productivity indicator indicator is computed as the % of contents divided by the % of connected L1+L2 speakers. Experience have shown this indicator hardly get out of the window 0.5 – 1.5 as the amount of contents seems to be linked to the number of connected speakers by some sort of natural economic law where the connected persons represent the demand and the contents the offer.

Japanese1.34
English1.32
Chinese Macro1.17
German, Standard1.16
Spanish1.16
Italian1.14
French1.12
Norwegian1.10
Swedish1.10
Korean1.09
Dutch1.08
Russian1.07
Greek1.07
Kabuverdianu1.05
Danish1.05
Portuguese1.05
Finnish1.04
Polish1.04
Catalan1.03
German, Swiss1.02
Hebrew1.00

Cybergeography of Languages

LANGUAGES FROM (*)AFRICAAMERICASARAB WORLDASIAEUROPEPACIFICNOT INCLUDEDTOTAL
Internauts %29,8%56,7%64,0%49,3%82,6% 47,06%56,91%
Contents2,89%0,22%3,09%44,77%45,39% 3,64%100%
Virtual Presence0,310,710,880,931,47 0,471
Contents Productivity0,560,690,791,001,15 0,571
Speakers  L1+L29,21%0,31%3,53%48,24%30,91% 7,81%100%
%Connected speakers.5,21%0,32%3,89%44,63%39,51% 6,36%100%
Number of languages13881135470 (**) 329

(*)  It has to be understood as native languages.

(*)  For instance, the 8 indigenous languages from Americas with more than 1 M L1 speakers included in the model are: Aymara, Guarani, Haitian Creole, Hunsrik, Jamaican creole, Q’eqchi’, Kiche and Quechua and the languages from Europe includes obviously English, Spanish, French, and so on.

(**) No languages from Pacific are included as none have more than 1 million speakers.

Note: a formula error was detected and corrected May, 27th, 2022. If you have downloaded the file ALL RESULTS V3 before that date, please reload it to have the error corrected.

This table shows that the Asian languages (and Arabic) has been growing strongly in the last years to overcome European languages in connected population, with room for improvement in terms of connectivity and virtual presence.

It shows also that the gap with African languages is huge and growing, in urgent needs to be reduced.

The Case of Africa

Following World Bank source, Africa is forecasted to double population by 2050 and this will benefit European languages with African presence.

Main European Languages in Africa

L1+L2% Total
English (*)236 808 00062.1%
French109 245 42028.7%
Portuguese32 531 2508.5%
Spanish2 538 5400.7%
Total381 123 210 
(*) Including 111 million in Nigeria

Francophone Africa Digital Divide

CONN.
UIT 2017
CONN.
UIT/WB 2021
BROADBAND (**)
WB 2021
Bénin14.12%29.00%0.25%
Burkina Faso15.88%18.00%0.07%
Burundi5.59%5.00%0.04%
Comores8.48% 0.10%
Congo8.65%13.00%0.01%
Guinée11.40%23.00%0.01%
Guinée-Bissau3.93%28.00%0.12%
Madagascar9.80%15.00%0.10%
Mali12.72%26.00%1.20%
Mauritanie20.80% 0.41%
Mozambique20.77%15.00%0.23%
Niger10.22%5.25%0.04%
Rép. Centrafricaine4.34% 0.01%
Rép. Démo. du Congo8.62%13.00%0.01%
Rwanda21.77%26.00%0.14%
Tchad6.50%10.00%0.00%
Togo12.36%19.00%0.64%
(**) For sake of comparison the world average for broadband % per country is 17% and France’s is 47%

The Cyber-Globalization Indicator

CGI (L)  = (L1 +L2)/L1(L) x S(L) x C(L)

where:

L1+L2/L1 (L) is the ratio of multilingualism of language L

S(L) is the percentage of world countries which hold speakers of language L

C(L) is the % of speakers of language L connected to the Internet.

This is an indicator of the strategic advantages of a language in cyberspace.

In terms of %, English + French hold almost 25% of the weight, followed, somehow faraway, by German, Russian, Spanish and Arabic.

L1+L2 /L1 (English) = 3.64

English have speakers in 148 countries over 205 and its connectivity rate is currently 64.86%

L1+L2 /L1 (French) = 3.35

French have speakers in 108 countries over 205 and its connectivity rate is currently 65.80%

L1+L2 /L1 (Swahili) = 4.37 (second higher after Dioula)

Swahili have speakers in 22 countries over 205 and its connectivity rate is currently 20.35%

L1+L2 /L1 (German) = 1.76

German have speakers in 59 countries over 205 and its connectivity rate is currently 89.17%

Cyber-Globalization Indicator (CGI)

LANGUAGECGICGI%
English1.6114.24%
French1.099.66%
German0.423.75%
Russian0.312.76%
Spanish0.272.40%
Arabic0.181.56%
Malay0.171.51%
Italian0.171.50%
Chinese0.161.46%
Portuguese0.151.37%
Thaï0.151.37%
Romani0.151.35%
Turkish0.151.34%
Greek0.151.31%
Ukranian0.151.31%
Polish0.131.15%
Persian0.121.10%
Rumanian0.121.06%
Hindi0.121.04%

More Connected Countries for Languages with Higher Content Percentages

CHINESE
CHINESEL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL1 525 335 34071.38%1 088 735 519100%
China1 448 870 00070.64%1 023 512 81594.01%
China–Taiwan37 320 00088.82%33 148 5413.04%
China–Hong Kong10 942 80092.41%10 112 5850.93%
Malaysia7 838 70089.56%7 019 9490.64%
Singapore4 026 00075.88%3 054 7660.28%
United States2 894 39088.50%2 561 5030.24%
Viet Nam2 500 00070.64%1 766 0540.16%
Indonesia2 054 00053.73%1 103 5420.10%
Thailand1 729 00077.84%1 345 9180.12%
Canada1 212 60097.00%1 176 2220.11%
Philippines1 010 28043.03%434 6890.04%
REST4 937 57071.04%3 507 7380.32%
ENGLISH

ENGLISHL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL1 348 145 14064.86%874 405 129100%
United States297 400 00088.50%263 195 73830.10%
India265 260 00041.00%108 756 60012.44%
United Kingdom60 020 00094.82%56 910 9646.51%
Germany45 840 00089.81%41 170 2524.71%
Nigeria111 000 00034.00%37 740 0004.32%
Canada30 000 00097.00%29 100 0003.33%
Philippines50 028 70043.03%21 525 6552.46%
France25 436 00083.34%21 198 2972.42%
Egypt28 119 00071.91%20 221 5542.31%
Australia22 200 00086.54%19 212 9282.20%
Italy20 700 00074.39%15 398 1471.76%
Netherlands15 377 80091.33%14 045 0571.61%
Poland12 780 90086.84%11 098 5411.27%
China15 620 00070.64%11 034 3031.26%
South Africa15 890 00068.00%10 805 2001.24%
Spain10 528 00093.21%9 812 6901.12%
Japan10 074 00092.73%9 341 6601.07%
Malaysia9 633 90089.56%8 627 6400.99%
REST302 236 84054.66%165 209 90218.89%
SPANISH
SPANISHL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL542 894 26073.72%400 234 47492.78%
Mexico125 000 00071.97%89 962 50022.48%
United States59 600 00088.50%52 745 34613.18%
Spain46 490 00093.21%43 331 30510.83%
Argentina45 160 00085.50%38 611 8009.65%
Colombia48 984 00065.01%31 842 9807.96%
Venezuela28 162 00067.00%18 868 5404.71%
Peru28 120 00065.25%18 348 8064.58%
Chile19 083 00085.00%16 220 5504.05%
Ecuador16 990 00057.00%9 684 3002.42%
Dominican Republic10 464 20074.82%7 829 7631.96%
Cuba11 122 80067.97%7 560 2571.89%
Guatemala15 840 00044.00%6 969 6001.74%
Bolivia11 470 00055.14%6 324 4491.58%
France6 451 00083.34%5 376 2471.34%
Paraguay6 700 00074.52%4 992 5211.25%
Brazil6 107 00073.91%4 513 8331.13%
United Kingdom4 294 00094.82%4 071 5711.02%
Costa Rica5 055 40080.53%4 071 1231.02%
REST47 800 86060.48%28 908 9837.22%
HINDI
HINDIL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL600 800 97041.15%247 258 401100%
India596 000 00041.00%244 360 00098.87%
Kuwait700 00098.60%690 2000.28%
United States643 00088.50%569 0480.23%
Nepal1 307 60025.00%326 9000.13%
South Africa463 00068.00%314 8400.13%
Saudi Arabia171 00097.86%167 3450.07%
Australia160 00086.54%138 4720.06%
Canada111 00097.00%107 6700.04%
Yemen316 00030.00%94 8000.04%
REST929 37052.63%489 1270.20%
RUSSIAN
RUSSIANL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL258 034 16080.32%207 258 366100.00%
Russian Federation138 000 00084.99%117 292 64456.59%
Ukraine39 100 00070.00%27 370 00013.21%
Kazakhstan16 800 00085.94%14 438 3576.97%
Uzbekistan11 800 00055.20%6 513 6003.14%
Poland6 941 90086.84%6 028 1332.91%
Belarus6 978 00085.09%5 937 4352.86%
Germany5 400 00089.81%4 849 8992.34%
Azerbaijan4 882 00081.10%3 959 3021.91%
Lithuania2 460 00083.06%2 043 1680.99%
Georgia2 376 20072.53%1 723 4960.83%
Czechia2 000 00081.34%1 626 7780.78%
Latvia1 775 00088.90%1 577 9390.76%
Moldova1 714 00080.00%1 371 2000.66%
Kyrgyzstan2 868 00042.00%1 204 5600.58%
Bulgaria1 675 80070.16%1 175 7830.57%
Slovakia1 300 00089.92%1 168 9720.56%
Serbia1 400 00078.37%1 097 1530.53%
Armenia1 613 50066.54%1 073 6870.52%
REST8 949 76076.05%6 806 2643.28%
FRENCH
FRENCHL1+L2%CONN.CONNECTED%FROM CONN.
TOTAL266 959 24064.28%171 595 428100%
France63 900 00083.34%53 254 09631.03%
United Kingdom12 767 00092.52%11 811 5986.88%
Germany12 540 00088.13%11 052 0686.44%
Canada10 980 00091.00%9 991 8005.82%
Morocco12 705 40074.38%9 449 8085.51%
Belgium9 570 00090.28%8 639 7965.03%
Algeria13 814 30060.00%8 288 5804.83%
Italy9 756 00074.39%7 257 2144.23%
Switzerland5 732 00093.15%5 339 1343.11%
Tunisia6 081 20066.70%4 056 1602.36%
Netherlands3 227 90093.29%3 011 2621.75%
Côte d’Ivoire8 235 00036.29%2 988 3951.74%
Cameroon10 000 00025.00%2 500 0001.46%
Portugal2 590 60075.35%1 951 9231.14%
Senegal4 210 00046.00%1 936 6001.13%
Spain2 108 00090.72%1 912 3491.11%
United States2 123 00088.50%1 878 8321.09%
Lebanon2 311 80078.18%1 807 3831.05%
Romania2 340 00073.66%1 723 5851.00%
Egypt3 000 00057.28%1 718 4861.00%
REST68 967 04030.49%21 026 35712.25%
PORTUGUESE
PORTUGUESEL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL257 646 48068.43%176 297 289100.00%
Brazil211 200 00073.91%156 103 07388.55%
Portugal9 900 00078.26%7 747 9044.39%
Angola18 100 00036.00%6 516 0003.70%
Mozambique13 130 00015.00%1 969 5001.12%
France959 00083.34%799 2280.45%
United States693 00088.50%613 2970.35%
Japan270 00092.73%250 3720.14%
Cape Verde Islands367 80061.94%227 8280.13%
Canada222 00097.00%215 3400.12%
South Africa300 00068.00%204 0000.12%
Switzerland210 00093.15%195 6070.11%
Spain196 00093.21%182 6830.10%
REST2 098 68060.63%1 272 4560.72%
ARABIC
ARABICL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL366 212 98063.99%234 333 349100.00%
Egypt99 917 00071.91%71 854 51230.66%
Saudi Arabia28 314 00097.86%27 708 74111.82%
Morocco27 900 00084.12%23 469 58110.02%
Iraq27 202 20075.00%20 401 6508.71%
Algeria31 535 00058.00%18 290 3007.81%
Sudan39 235 00025.00%9 808 7504.19%
Yemen27 850 80030.00%8 355 2403.57%
Tunisia11 452 00066.70%7 638 4843.26%
Jordan8 175 00070.00%5 722 5002.44%
Syria16 561 60034.25%5 672 9112.42%
United Arab Emirates5 258 400100.00%5 258 4002.24%
Lebanon6 711 70078.18%5 247 2592.24%
Kuwait3 457 00098.60%3 408 6021.45%
Oman3 217 90095.23%3 064 4801.31%
Palestine4 088 80070.62%2 887 6171.23%
France2 937 00083.34%2 447 6881.04%
REST22 399 58058.47%13 096 6335.59%
GERMAN
GERMANL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL132 942 80089.24%118 633 071100.00%
Germany80 600 00089.81%72 389 23160.14%
Netherlands12 373 30091.33%11 300 9479.39%
Poland7 263 60086.84%6 307 4875.24%
United Kingdom4 067 20094.82%3 856 5193.20%
France4 000 00083.34%3 333 5902.77%
Denmark2 777 80096.55%2 681 9422.23%
Sweden2 681 40094.54%2 534 9802.11%
Belgium2 582 70091.52%2 363 7961.96%
Russian Federation2 070 00084.99%1 759 3901.46%
Hungary1 795 20084.77%1 521 8121.26%
Czechia1 624 10081.34%1 321 0251.10%
Croatia1 462 99078.32%1 145 8270.95%
Slovakia1 205 19089.92%1 083 7180.90%
Italy1 276 00074.39%949 1800.79%
United States1 060 00088.50%938 0880.78%
REST8 153 56084.44%6 884 6365.72%
JAPANESE
JAPANESEL1+L2%CONN.CONNECTED% FROM CONN.
TOTAL126 378 61092.63%117 064 241100.0%
Japan125 000 00092.73%115 912 99799.02%
United States449 00088.50%397 3600.34%
Brazil380 00073.91%280 8670.24%
Hong Kong127 05092.41%117 4110.10%
Thailand70 70077.84%55 0360.05%
Australia56 00086.54%48 4650.04%
REST295 86085.21%252 1040.22%

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