INDICATORS OF LANGUAGES IN THE INTERNET, V3, March 2022

http://funredes.org/lc2022

 

 

 

 

 

 

RESULTS FOR TOP LANGUAGES BY CATEGORY OF INDICATOR

 

 

 

 

 


ALL INDICATORS FOR 30 LANGUAGES WITH HIGHER CONTENT PERCENTAGE

RANK

 

 

%

%

%

 

%

%

%

 

 

 

 

 

WORLD

 

 

 

 

C.PROD.

 

CONTENTS

 

 

INTERNAUTS

POP.

CONN.

 

CONTENTS

VIRT.PRES.

 

L1+L2

ISO

LANGUAGES

L1+L2

L1+L2

Speakers

 

L1+L2

L1+L2

L1+L2

 

1

zho

Chinese Macro

18,46%

14,72%

71,38%

 

21,60%

1,47

1,17

 

2

eng

English

14,83%

13,01%

64,86%

 

19,60%

1,51

1,32

 

3

spa

Spanish

6,79%

5,24%

73,72%

 

7,85%

1,50

1,16

 

4

hin

Hindi

4,19%

5,80%

41,16%

 

3,76%

0,65

0,90

 

5

rus

Russian

3,51%

2,49%

80,32%

 

3,76%

1,51

1,07

 

6

fra

French

2,98%

2,58%

65,80%

 

3,33%

1,29

1,12

 

7

por

Portuguese

2,99%

2,49%

68,43%

 

3,13%

1,26

1,05

 

8

ara

Arabic Macro

3,97%

3,53%

63,99%

 

3,09%

0,87

0,78

 

9

jpn

Japanese

1,99%

1,22%

92,63%

 

2,66%

2,18

1,34

 

10

deu

German, Standard

2,04%

1,30%

89,17%

 

2,37%

1,82

1,16

 

11

msa

Malay Macro

2,36%

2,36%

56,93%

 

1,96%

0,83

0,83

 

12

tur

Turkish

1,17%

0,85%

78,05%

 

1,14%

1,35

0,98

 

13

ita

Italian

0,87%

0,66%

75,83%

 

1,00%

1,53

1,14

 

14

kor

Korean

0,90%

0,79%

65,16%

 

0,98%

1,24

1,09

 

15

fas

Persian Macro

1,08%

0,81%

75,91%

 

0,88%

1,09

0,82

 

16

ben

Bengali

1,11%

2,58%

24,55%

 

0,88%

0,34

0,79

 

17

vie

Vietnamese

0,92%

0,74%

70,96%

 

0,85%

1,15

0,92

 

18

urd

Urdu

0,95%

2,22%

24,38%

 

0,66%

0,30

0,70

 

19

tha

Thai

0,80%

0,59%

77,95%

 

0,65%

1,12

0,82

 

20

pol

Polish

0,60%

0,39%

87,09%

 

0,63%

1,59

1,04

 

21

mar

Marathi

0,69%

0,96%

41,06%

 

0,58%

0,60

0,83

 

22

tel

Telugu

0,68%

0,92%

41,69%

 

0,56%

0,60

0,82

 

23

tam

Tamil

0,61%

0,82%

42,15%

 

0,51%

0,62

0,83

 

24

jav

Javanese

0,62%

0,66%

53,76%

 

0,44%

0,66

0,70

 

25

nld

Dutch

0,38%

0,24%

91,14%

 

0,41%

1,73

1,08

 

26

guj

Gujarati

0,44%

0,60%

41,47%

 

0,36%

0,61

0,83

 

27

ukr

Ukrainian

0,40%

0,32%

71,02%

 

0,35%

1,09

0,88

 

28

kan

Kannada

0,41%

0,57%

41,11%

 

0,33%

0,59

0,82

 

29

ron

Romanian

0,32%

0,23%

79,57%

 

0,30%

1,29

0,93

 

30

aze

Azerbaijani Macro

0,33%

0,23%

81,54%

 

0,28%

1,21

0,85

 

 

 

REMAIN

22,60%

30,10%

 

 

15,13%

 

 

 

 

 

TOTAL

100,00%

100,00%

 

 

100,00%

 

 

 


 

 

 

How it reads:

English L1+L2 speakers represent 13% of world L1+L2 population and 18% of Internet users, with a penetration rate 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.


 

 

 

TOP LANGUAGES IN TERMS OF % OF SPEAKERS CONNECTED TO THE INTERNET

Norwegian

96.89%

Danish

96.42%

Swedish

93.94%

Catalan

92.88%

Japanese

92.63%

Finnish

92.07%

German. Swiss

91.55%

Limburgish

91.42%

West Flemish

91.30%

Dutch

91.14%

Galician

91.07%

Saxon. Upper

89.81%

Estonian Macro

89.26%

German. Standard

89.17%

Latvian Macro

89.04%

Bavarian

88.24%


 

 

 

 

 

TOP LANGUAGES IN VIRTUAL PRESENCE AND CONTENT PRODUCTIVITY


 

 

TOP LANGUAGES IN VIRTUAL PRESENCE COEFFICIENT

 

Japanese

2.18

Norwegian

1.88

German. Standard

1.82

Swedish

1.82

Danish

1.78

Dutch

1.73

Finnish

1.69

Catalan

1.68

German, Swiss

1.63

Polish

1.59

Italian

1.53

Estonian Macro

1.51

Russian

1.51

English

1.51

Hebrew

1.50

Greek

1.50

Spanish

1.50

Chinese Macro

1.47

Latvian Macro

1.46

Galician

1.46

 

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.

 

 

 

CONTENT PRODUCTIVITY INDICATOR


 

Japanese

1.34

English

1.32

Chinese Macro

1.17

German, Standard

1.16

Spanish

1.16

Italian

1.14

French

1.12

Norwegian

1.10

Swedish

1.10

Korean

1.09

Dutch

1.08

Russian

1.07

Greek

1.07

Kabuverdianu

1.05

Danish

1.05

Portuguese

1.05

Finnish

1.04

Polish

1.04

Catalan

1.03

German, Swiss

1.02

Hebrew

1.00

 

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.

 

 

 


 

CYBER GEOGRAPHY OF LANGUAGES

 

 

(*)  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.

 

 

Languages from

Africa

Americas

Arab world

Asia

 Europe

 Pacific

 Not included

 TOTAL

Internauts %

29,8%

56,7%

64,0%

49,3%

82,6%

 

47,06%

56,91%

Contents

2,89%

0,22%

3,09%

44,77%

45,39%

 

3,64%

100%

Virtual Presence

0,31

0,71

0,88

0,93

1,47

 

0,47

1

Contents Productivity

0,56

0,69

0,79

1,00

1,15

 

0,57

1

Speakers  L1+L2

9,21%

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 languages

138

8

1

135

47

0

 

329

 

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 (*)

236 808 000

62.1%

French

109 245 420

28.7%

Portuguese

32 531 250

8.5%

Spanish

2 538 540

0.7%

Total

381 123 210

 

(*) Including 111 million in Nigeria

 

 

 

 

 

FRANCOPHONE AFRICA DIGITAL DIVIDE

 

 

 

 

CONN.

CONN.

BROADBAND (**)

 

UIT 2017

UIT/WB 2021

WB 2021

Bénin

14.12%

29.00%

0.25%

Burkina Faso

15.88%

18.00%

0.07%

Burundi

5.59%

5.00%

0.04%

Comores

8.48%

 

0.10%

Congo

8.65%

13.00%

0.01%

Guinée

11.40%

23.00%

0.01%

Guinée-Bissau

3.93%

28.00%

0.12%

Madagascar

9.80%

15.00%

0.10%

Mali

12.72%

26.00%

1.20%

Mauritanie

20.80%

 

0.41%

Mozambique

20.77%

15.00%

0.23%

Niger

10.22%

5.25%

0.04%

Rép. Centrafricaine

4.34%

 

0.01%

Rép. Démo. du Congo

8.62%

13.00%

0.01%

Rwanda

21.77%

26.00%

0.14%

Tchad

6.50%

10.00%

0.00%

Togo

12.36%

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


 

LANGUAGE

CGI

CGI%

English

1.61

14.24%

French

1.09

9.66%

German

0.42

3.75%

Russian

0.31

2.76%

Spanish

0.27

2.40%

Arabic

0.18

1.56%

Malay

0.17

1.51%

Italian

0.17

1.50%

Chinese

0.16

1.46%

Portuguese

0.15

1.37%

Thaï

0.15

1.37%

Romani

0.15

1.35%

Turkish

0.15

1.34%

Greek

0.15

1.31%

Ukranian

0.15

1.31%

Polish

0.13

1.15%

Persian

0.12

1.10%

Rumanian

0.12

1.06%

Hindi

0.12

1.04%

 

 

 

 

 

 

 

 

MORE CONNECTED COUNTRIES FOR LANGUAGES WITH HIGHER CONTENT PERCENTAGES

 

CHINESE

L1+L2

%CONN. CONNECTED

% FROM CONN.

TOTAL

1 525 335 340

71.38%

1 088 735 519

100%

China

1 448 870 000

70.64%

1 023 512 815

94.01%

China–Taiwan

37 320 000

88.82%

33 148 541

3.04%

China–Hong Kong

10 942 800

92.41%

10 112 585

0.93%

Malaysia

7 838 700

89.56%

7 019 949

0.64%

Singapore

4 026 000

75.88%

3 054 766

0.28%

United States

2 894 390

88.50%

2 561 503

0.24%

Viet Nam

2 500 000

70.64%

1 766 054

0.16%

Indonesia

2 054 000

53.73%

1 103 542

0.10%

Thailand

1 729 000

77.84%

1 345 918

0.12%

Canada

1 212 600

97.00%

1 176 222

0.11%

Philippines

1 010 280

43.03%

434 689

0.04%

REST

4 937 570

71.04%

3 507 738

0.32%

 

ENGLISH

 

 

 

% FROM

 

L1+L2

%CONN.

CONNECTED

CONN

 

TOTAL

1 348 145 140

64.86%

874 405 129

100%

 

United States

297 400 000

88.50%

263 195 738

30.10%

 

India

265 260 000

41.00%

108 756 600

12.44%

 

United Kingdom

60 020 000

94.82%

56 910 964

6.51%

 

Germany

45 840 000

89.81%

41 170 252

4.71%

 

Nigeria

111 000 000

34.00%

37 740 000

4.32%

 

Canada

30 000 000

97.00%

29 100 000

3.33%

 

Philippines

50 028 700

43.03%

21 525 655

2.46%

 

France

25 436 000

83.34%

21 198 297

2.42%

 

Egypt

28 119 000

71.91%

20 221 554

2.31%

 

Australia

22 200 000

86.54%

19 212 928

2.20%

 

Italy

20 700 000

74.39%

15 398 147

1.76%

 

Netherlands

15 377 800

91.33%

14 045 057

1.61%

 

Poland

12 780 900

86.84%

11 098 541

1.27%

 

China

15 620 000

70.64%

11 034 303

1.26%

 

South Africa

15 890 000

68.00%

10 805 200

1.24%

 

Spain

10 528 000

93.21%

9 812 690

1.12%

 

Japan

10 074 000

92.73%

9 341 660

1.07%

 

Malaysia

9 633 900

89.56%

8 627 640

0.99%

 

REST

302 236 840

54.66%

165 209 902

18.89%

 

 

SPANISH

 

 

 

% FROM

 

L1+L2

%CONN.

CONNECTED

CONN

 

TOTAL

542 894 260

73.72%

400 234 474

92.78%

 

Mexico

125 000 000

71.97%

89 962 500

22.48%

 

United States

59 600 000

88.50%

52 745 346

13.18%

 

Spain

46 490 000

93.21%

43 331 305

10.83%

 

Argentina

45 160 000

85.50%

38 611 800

9.65%

 

Colombia

48 984 000

65.01%

31 842 980

7.96%

 

Venezuela

28 162 000

67.00%

18 868 540

4.71%

 

Peru

28 120 000

65.25%

18 348 806

4.58%

 

Chile

19 083 000

85.00%

16 220 550

4.05%

 

Ecuador

16 990 000

57.00%

9 684 300

2.42%

 

Dominican Republic

10 464 200

74.82%

7 829 763

1.96%

 

Cuba

11 122 800

67.97%

7 560 257

1.89%

 

Guatemala

15 840 000

44.00%

6 969 600

1.74%

 

Bolivia

11 470 000

55.14%

6 324 449

1.58%

 

France

6 451 000

83.34%

5 376 247

1.34%

 

Paraguay

6 700 000

74.52%

4 992 521

1.25%

 

Brazil

6 107 000

73.91%

4 513 833

1.13%

 

United Kingdom

4 294 000

94.82%

4 071 571

1.02%

 

Costa Rica

5 055 400

80.53%

4 071 123

1.02%

 

REST

47 800 860

60.48%

28 908 983

7.22%

 

 

 

HINDI

L1+L2

%CONN.

CONNECTED

% FROM CONN.

TOTAL

600 800 970

41.15%

247 258 401

100%

India

596 000 000

41.00%

244 360 000

98.87%

Kuwait

700 000

98.60%

690 200

0.28%

United States

643 000

88.50%

569 048

0.23%

Nepal

1 307 600

25.00%

326 900

0.13%

South Africa

463 000

68.00%

314 840

0.13%

Saudi Arabia

171 000

97.86%

167 345

0.07%

Australia

160 000

86.54%

138 472

0.06%

Canada

111 000

97.00%

107 670

0.04%

Yemen

316 000

30.00%

94 800

0.04%

REST

929 370

52.63%

489 127

0.20%

 

 

RUSSIAN

L1+L2

%CONN.

CONNECTED

% FROM CONN

TOTAL

258 034 160

80.32%

207 258 366

100.00%

Russian Federation

138 000 000

84.99%

117 292 644

56.59%

Ukraine

39 100 000

70.00%

27 370 000

13.21%

Kazakhstan

16 800 000

85.94%

14 438 357

6.97%

Uzbekistan

11 800 000

55.20%

6 513 600

3.14%

Poland

6 941 900

86.84%

6 028 133

2.91%

Belarus

6 978 000

85.09%

5 937 435

2.86%

Germany

5 400 000

89.81%

4 849 899

2.34%

Azerbaijan

4 882 000

81.10%

3 959 302

1.91%

Lithuania

2 460 000

83.06%

2 043 168

0.99%

Georgia

2 376 200

72.53%

1 723 496

0.83%

Czechia

2 000 000

81.34%

1 626 778

0.78%

Latvia

1 775 000

88.90%

1 577 939

0.76%

Moldova

1 714 000

80.00%

1 371 200

0.66%

Kyrgyzstan

2 868 000

42.00%

1 204 560

0.58%

Bulgaria

1 675 800

70.16%

1 175 783

0.57%

Slovakia

1 300 000

89.92%

1 168 972

0.56%

Serbia

1 400 000

78.37%

1 097 153

0.53%

Armenia

1 613 500

66.54%

1 073 687

0.52%

REST

8 949 760

76.05%

6 806 264

3.28%

 

 

FRENCH

L1+L2

%CONN. CONNECTED

% FROM CONN

TOTAL

266 959 240

64.28%

171 595 428

100%

France

63 900 000

83.34%

53 254 096

31.03%

United Kingdom

12 767 000

92.52%

11 811 598

6.88%

Germany

12 540 000

88.13%

11 052 068

6.44%

Canada

10 980 000

91.00%

9 991 800

5.82%

Morocco

12 705 400

74.38%

9 449 808

5.51%

Belgium

9 570 000

90.28%

8 639 796

5.03%

Algeria

13 814 300

60.00%

8 288 580

4.83%

Italy

9 756 000

74.39%

7 257 214

4.23%

Switzerland

5 732 000

93.15%

5 339 134

3.11%

Tunisia

6 081 200

66.70%

4 056 160

2.36%

Netherlands

3 227 900

93.29%

3 011 262

1.75%

Côte d'Ivoire

8 235 000

36.29%

2 988 395

1.74%

Cameroon

10 000 000

25.00%

2 500 000

1.46%

Portugal

2 590 600

75.35%

1 951 923

1.14%

Senegal

4 210 000

46.00%

1 936 600

1.13%

Spain

2 108 000

90.72%

1 912 349

1.11%

United States

2 123 000

88.50%

1 878 832

1.09%

Lebanon

2 311 800

78.18%

1 807 383

1.05%

Romania

2 340 000

73.66%

1 723 585

1.00%

Egypt

3 000 000

57.28%

1 718 486