Daily
newspapers

 
 
 
 
 
 
 
 

per 1,000
people

2000

Households
with
televisiona

 
 
 
 
 
 
 
 

%

2004

Personal computers and the Internet

 
 

Access

 
 

per 1,000 people

Schools connected to the Internet

Personal
computersa

Internet
usersa

2004

2004

%
2004

Quality

 
 
 

Broadband
subscribers
per 1,000
peoplea

International
Internet bandwidth
bits per capitaa

2004

2004

Application
Secure

 
 

Internet servers
per million people
November

2005

Affordability
 
 
 

Price basket
for Internet
$ per monthb

2003

Information and
communications
technology
expenditures

 
 
 
 
 
 

% of GDP

Per capita
$

2004

2004

 
Afghanistan .. .. .. 1 .. 0.0 1 0 .. .. ..
Albania .. 90 12 24 .. 0.0 4 0 28.6 .. ..
Algeria 27 98 9 26 53 1.1 5 0 17.8 .. ..
Angola 11 9 3 11 .. 0.0 0 0 78.8 .. ..
Argentina 40 97 96 133 .. 13.5 319 11 13.3 5.6 224
Armenia .. 91 66 50 .. 0.0 12 1 44.8 .. ..
Australia 161 96 682 646 97 77.0 1,097 500 18.1 5.4 1,714
Austria 309 97 418 477 94 101.3 6,682 232 32.9 5.1 1,816
Azerbaijan 10 99 18 49 .. 0.0 0 0 108.3 .. ..
Bangladesh .. 29 12 2 .. 0.0 0 0 20.0 2.9 12
Belarus .. 91 .. 163 .. 0.0 36 1 12.8 .. ..
Belgium 153 97 348 403 93 155.4 11,279 118 28.6 5.3 1,783
Benin 5 20 4 12 .. 0.0 6 0 46.4 .. ..
Bolivia 99 .. 36 39 .. 0.0 44 2 22.3 5.6 55
Bosnia and Herzegovina .. 87 45 58 .. 0.1 77 3 7.3 .. ..
Botswana 25 15 45 34 .. 0.0 23 1 27.0 .. ..
Brazil 46 90 105 120 50 12.4 149 14 28.0 6.3 208
Bulgaria 173 97 59 283 60 5.6 80 9 12.4 3.8 117
Burkina Faso 1 7 2 4 .. 0.0 4 0 45.4 .. ..
Burundi 2 14 5 3 .. 0.0 1 0 80.9 .. ..
Cambodia .. .. 3 3 .. 0.0 1 0 57.4 .. ..
Cameroon 6 18 10 10 .. 0.0 3 0 51.7 5.1 45
Canada 168 99 700 626 98 164.3 6,803 570 12.7 5.4 1,641
Central African Republic 2 2 3 2 .. 0.0 0 .. 175.0 .. ..
Chad 0 2 2 6 .. 0.0 0 .. 68.9 .. ..
Chile .. 95 133 267 62 29.7 788 21 21.8 5.8 340
China 59 91 41 73 .. 16.5 57 0 10.1 4.4 66
Hong Kong, China 218 99 608 506 100 215.7 4,793 159 3.8 8.7 2,065
Colombia 26 92 67 80 50 2.8 124 4 18.6 8.3 180
Congo, Dem. Rep. 3 2 .. 1 .. 0.0 0 0 74.0 .. ..
Congo, Rep. 6 6 4 9 .. 0.0 0 1 121.2 .. ..
Costa Rica 70 91 238 235 15 0.1 .. 62 25.8 7.8 337
Côte d’Ivoire 16 35 15 17 .. 0.0 2 0 67.2 .. ..
Croatia 134 93 190 293 .. 5.0 317 40 17.1 .. ..
Cuba 54 .. 27 13 .. 0.0 8 0 57.8 .. ..
Czech Republic .. .. 240 470 90 16.5 2,450 42 20.8 6.0 632
Denmark 283 98 656 696 100 168.6 34,870 411 17.6 5.6 2,487
Dominican Republic 28 88 0 91 .. 3.8 .. 6 33.0 .. ..
Ecuador 98 89 56 48 .. 0.0 38 4 31.8 3.6 83
Egypt, Arab Rep. 31 95 32 54 66 0.4 19 1 5.5 1.4 15
El Salvador 29 .. 44 87 .. 2.8 62 5 48.1 .. ..
Eritrea .. 14 4 12 .. 0.0 2 .. 26.8 .. ..
Estonia 192 93 921 497 75 102.8 3,410 102 13.6 .. ..
Ethiopia 0 2 3 2 1 0.0 0 0 27.4 .. ..
Finland 445 91 481 629 99 149.2 4,326 308 22.5 6.6 2,344
France 142 95 487 414 97 108.1 3,312 79 14.1 5.6 1,899
Gabon 29 54 29 29 .. 0.0 33 6 121.9 .. ..
Gambia, The 2 12 16 33 .. 0.0 1 .. 27.1 .. ..
Georgia 5 76 42 39 .. 0.3 .. 4 26.2 .. ..
Germany 291 94 561 500 99 83.7 6,860 274 14.1 5.5 1,822
Ghana 14 21 5 17 1 0.0 1 0 43.8 .. ..
Greece .. 98 89 177 59 4.7 589 31 37.6 4.2 774
Guatemala .. .. 19 61 .. 0.0 57 6 31.2 .. ..
Guinea .. 9 5 5 .. 0.0 0 .. 63.3 .. ..
Guinea-Bissau 5 26 .. 17 .. 0.0 .. .. 105.1 .. ..
Haiti .. 26 .. 59 .. 0.0 .. 1 130.0 .. ..
Honduras .. 58 16 32 .. 0.0 3 4 40.6 4.7 49
Hungary 162 92 146 267 85 36.2 989 30 10.2 5.9 588
India 60 37 12 32 .. 0.6 11 1 8.7 3.8 24
Indonesia 23 66 14 67 .. 0.3 10 0 22.3 3.1 37
Iran, Islamic Rep. .. 77 110 82 .. 0.2 15 0 5.9 2.2 54
Iraq .. .. 8 1 .. 0.0 .. .. .. .. ..
Ireland 148 95 494 265 99 33.9 6,044 355 28.3 3.7 1,653
Israel .. 93 741 471 95 135.3 2,501 163 29.8 7.8 1,349
Italy 109 .. 315 501 88 81.7 2,078 45 16.5 4.0 1,171
Jamaica .. 70 63 403 10 9.6 .. 14 43.5 11.8 395
Japan 566 99 542 587 99 145.8 1,038 257 21.1 7.6 2,732
Jordan 74 97 55 110 18 0.9 57 4 26.3 8.4 178
Kazakhstan .. 95 .. 27 .. 0.0 3 1 34.5 .. ..
Kenya 8 19 13 45 .. 0.0 1 0 45.7 2.9 14
Korea, Dem. Rep. .. .. .. .. .. 0.0 .. .. .. .. ..
Korea, Rep. .. 93 545 657 100 247.9 1,485 20 9.7 6.5 924
Kuwait .. 95 183 244 .. 5.4 117 21 24.7 1.5 338
Kyrgyz Republic .. .. 17 52 .. 0.0 4 1 15.0 .. ..
Lao PDR .. .. 4 4 .. 0.0 1 0 31.9 .. ..
Latvia 138 85 217 350 97 16.9 972 38 58.1 .. ..
Lebanon 63 93 113 169 20 10.1 56 10 36.9 .. ..
Lesotho 9 17 .. 24 .. 0.0 1 .. 43.4 .. ..
Liberia 14 .. .. .. .. 0.0 0 .. .. .. ..
Libya 14 .. 24 36 .. 0.0 1 0 18.9 .. ..
Lithuania 31 97 155 282 56 37.6 194 22 34.1 .. ..
Macedonia, FYR 54 .. 69 78 .. 1.5 25 0 18.9 .. ..
Madagascar 5 8 5 5 .. 0.0 2 0 67.3 .. ..
Malawi 2 2 2 4 1 0.0 0 0 62.0 .. ..
Malaysia 95 98 197 397 .. 10.1 128 15 8.4 6.7 316
Mali 1 15 3 4 .. 0.0 1 0 58.0 .. ..
Mauritania .. 21 14 5 .. 0.0 3 0 38.6 .. ..
Mauritius 116 94 279 146 19 2.0 146 18 15.0 .. ..
Mexico 94 92 108 135 60 3.1 108 8 22.6 3.0 196
Moldova 153 75 27 96 50 0.7 43 4 19.0 .. ..
Mongolia 18 29 124 80 19 0.2 9 3 17.8 .. ..
Morocco 29 76 21 117 .. 2.1 26 1 25.3 5.5 93
Mozambique 3 6 6 7 0 0.0 1 0 50.8 .. ..
Myanmar 9 3 6 1 .. 0.0 1 0 42.5 .. ..
Namibia 17 39 109 37 4 0.0 4 7 33.4 .. ..
Nepal .. .. 4 7 .. 0.0 1 0 13.5 .. ..
Netherlands 279 99 682 614 92 189.4 20,549 327 24.1 6.2 2,214
New Zealand 202 98 474 788 99 18.0 1,127 493 12.9 9.3 2,257
Nicaragua .. .. 37 23 .. 0.4 186 2 51.0 .. ..
Niger 0 5 1 2 .. 0.0 0 0 96.8 .. ..
Nigeria 25 26 7 14 .. 0.0 1 0 85.5 .. ..
Norway 569 100 573 390 99 87.1 9,370 309 26.3 5.0 2,716
Oman .. 79 47 97 .. 0.0 15 4 23.6 .. ..
Pakistan 39 39 5 13 .. 0.0 5 0 15.6 7.1 45
Panama .. 77 41 94 .. 5.8 292 56 36.0 9.3 400
Papua New Guinea .. .. 64 29 .. 0.0 1 1 20.0 .. ..
Paraguay .. .. 59 25 .. 0.1 26 1 36.3 .. ..
Peru 23 .. 98 117 .. 7.6 205 5 32.8 6.7 166
Philippines .. 76 45 54 .. 0.3 39 3 17.0 6.4 67
Poland 102 92 193 236 90 32.7 560 22 15.7 4.3 270
Portugal 102 99 133 281 92 81.7 833 57 20.6 4.3 679
Puerto Rico .. 97 .. 221 .. 5.9 .. 31 .. .. ..
Romania .. .. 113 208 57 0.7 186 5 26.4 2.6 88
Russian Federation .. 98 132 111 65 0.9 100 2 10.0 3.3 135
Rwanda 0 2 .. 4 .. 0.0 1 .. 66.8 .. ..
Saudi Arabia .. 99 354 66 .. 0.3 31 3 34.7 2.2 235
Senegal .. 29 21 42 .. 0.2 27 0 40.6 7.5 51
Serbia and Montenegro .. 92 48 147 70 0.0 87 2 13.2 .. ..
Sierra Leone .. 7 .. 2 .. 0.0 0 .. 12.0 .. ..
Singapore 273 98 763 571 100 120.8 5,826 270 11.0 9.9 2,498
Slovak Republic 131 100 296 423 65 11.6 2,295 18 20.7 5.0 386
Slovenia 168 98 353 476 99 59.1 1,085 79 25.4 .. ..
Somalia .. 8 6 25 .. 0.0 0 .. .. .. ..
South Africa 25 54 82 78 27 1.3 19 21 33.3 7.3 343
Spain 98 99 257 336 94 80.9 2,822 82 20.7 3.5 843
Sri Lanka 29 32 27 14 .. 0.1 17 2 15.1 5.9 61
Sudan .. 49 17 32 .. 0.1 6 .. 160.6 .. ..
Swaziland .. 18 32 32 .. 0.0 1 2 20.6 .. ..
Sweden 410 94 763 756 99 152.6 17,531 331 22.4 6.7 2,570
Switzerland 372 99 826 474 .. 173.5 9,671 473 22.4 7.0 3,370
Syrian Arab Republic .. 80 32 43 .. 0.0 1 .. 55.2 .. ..
Tajikistan .. .. .. 1 .. 0.0 0 .. 54.3 .. ..
Tanzania .. 14 7 9 .. 0.0 0 0 117.0 .. ..
Thailand 197 92 58 109 37 0.2 47 5 7.0 3.6 91
Togo 2 51 29 37 .. 0.0 2 0 30.4 .. ..
Trinidad and Tobago .. 88 105 123 15 0.1 138 21 13.4 .. ..
Tunisia 19 90 48 84 25 0.7 44 1 17.3 5.3 149
Turkey .. .. 52 142 40 0.8 124 17 19.8 6.9 293
Turkmenistan 7 94 .. 8 .. 0.0 0 .. 20.2 .. ..
Uganda 3 6 4 7 1 0.0 2 0 96.8 .. ..
Ukraine 175 97 28 79 .. 0.0 17 1 16.7 6.1 83
United Arab Emirates .. 86 116 321 .. 13.0 351 49 13.1 .. ..
United Kingdom 326 99 599 628 99 102.5 13,055 466 23.9 6.9 2,450
United States 196 97 749 630 99 129.0 3,305 783 14.9 9.0 3,595
Uruguay .. .. 125 198 50 3.2 291 26 26.5 6.7 259
Uzbekistan .. .. .. 34 .. 0.1 1 0 20.2 .. ..
Venezuela, RB .. 90 82 89 .. 8.0 51 5 19.5 4.5 189
Vietnam 6 83 13 71 .. 0.6 23 0 19.9 .. ..
West Bank and Gaza .. 94 48 46 .. 0.0 23 1 25.4 .. ..
Yemen, Rep. .. 43 15 9 .. 0.0 .. 0 30.8 .. ..
Zambia 22 26 10 20 .. 0.0 1 0 32.6 .. ..
Zimbabwe .. 26 77 63 .. 0.4 151 0 23.3 16.0 58
World 90 w 84 m 130 w 140 w .. m 32.0 w 816 w 65 w 25.8 m 6.6 w 508 w
Low income 44 16 11 24 .. 0.1 10 0 45.5 4.2 ..
Middle income 55 89 61 92 .. 12.9 91 4 22.3 4.7 111
Lower middle income 61 89 46 76 .. 12.5 60 2 25.4 4.7 79
Upper middle income .. 92 122 159 62 3.7 218 13 20.8 4.7 241
Low & middle income 49 54 41 63 .. 7.7 59 3 27.4 4.6 82
East Asia & Pacific 60 80 38 74 .. 13.4 48 1 19.9 4.4 67
Europe & Central Asia .. 92 110 138 .. 2.4 210 9 19.8 4.7 202
Latin America & Carib. 61 88 92 115 .. 5.2 159 11 31.5 5.1 200
Middle East & N. Africa .. 88 49 58 .. 0.2 9 1 24.4 .. ..
South Asia 59 32 12 26 .. 0.6 10 1 15.1 4.2 26
Sub-Saharan Africa 12 15 15 19 .. 0.1 6 2 51.2 .. ..
High income 262 98 574 545 98 125.9 4,545 384 20.9 7.1 2,329
Europe EMU 188 97 421 443 94 93.7 5,788 149 22.5 5.0 1,530
          
Footnotes
 
a. Data are from the International Telecommunication Union’s (ITU) World Telecommunication Development Report database, and World Bank estimates.
b. Data are from the ITU’s World Telecommunication Development Report database. Please cite the ITU for third-party use of these data.
 

 
 About the data
 
The digital and information revolution has changed the way the world learns, communicates, does business, and treats illnesses. New information and communications technologies offer vast opportunities for progress in all walks of life in all countries—opportunities for economic growth, improved health, better service delivery, learning through distance education, and social and cultural advances. The table presents indicators of the penetration of the information economy (newspapers, televisions, personal computers, and Internet use), quality (broadband subscribers, international Internet bandwidth, and secure Internet servers), and some of the economics of the information age (Internet access charges and spending on information and communications technology).
 
The data on the number of daily newspapers in circulation are from surveys by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. In some countries definitions, classifications, and methods of enumeration do not entirely conform to UNESCO standards. For example, newspaper circulation data should refer to the number of copies distributed, but in some cases the figures reported are the number of copies printed.
 
The data for other electronic communications and information technology are from the International Telecommunication Union (ITU), the Internet Software Consortium, Netcraft, the World Information Technology and Services Alliance (WITSA), Global Insights, and World Bank staff estimates. Estimates of households with television are derived from household surveys; data presented in the table are from the ITU and World Bank staff estimates.
 
The estimates of personal computers are derived from an annual ITU questionnaire, supplemented by other sources. In many countries mainframe computers are used extensively. Since thousands of users can be connected to a single mainframe computer, the number of personal computers understates the total use of computers.
 
The data on Internet users and related Internet indicators are based on nationally reported data. Some countries derive these data from Internet surveys, but since survey questions and definitions differ across countries, the estimates may not be strictly comparable. For example, questions on the age of Internet users and frequency of use vary by country. Countries that do not have surveys generally derive their estimates from reported Internet service provider (ISP) subscriber counts, calculated by multiplying the number of subscribers by a selected multiplier. This method may undercount the actual number of people using the Internet, particularly in developing countries, where many commercial subscribers rent out computers connected to the Internet or pre-paid cards are used to access the Internet.
 
The number of secure Internet servers, from the Netcraft Secure Server Survey, gives an indication of how many companies are conducting encrypted transactions over the Internet.
 
The data on information and communications technology expenditures cover the world’s 70 largest buyers of such technology among countries and regions.
 
Ensuring universal access to information and communication technology is a goal of many countries, but not all countries regularly track accessibility. There is no common set of information and communications technology indicators and definitions, and data are often drawn from administrative records rather than from specific surveys. Access needs to be accurately measured in three major areas: individual, household, and community access.
   
5.10a
Europe and Central Asia had the highest Internet use among developing country regions in 2004
Source: Table 5.10 based on International Telecommunication Union and World Bank data.
 

 
 Definitions
 
• Daily newspapers refer to those published at least four times a week and calculated as average circulation (or copies printed) per 1,000 people. • Households with television are the share of households with a television set. Some countries report only the number of households with a color television set, and therefore the true number may be higher than reported. • Personal computers are self-contained computers designed for use by a single individual. • Internet users are people with access to the worldwide network. • Schools connected to the Internet are the share of primary and secondary schools in the country that have access to the Internet. • Broadband subscribers are the total number of broadband subscibers with a digital subscriber line, cable modem, or other high-speed technologies. Reporting countries may have different definitions of broadband, so data are not strictly comparable across countries. • International Internet bandwidth is the contracted capacity of international connections between countries for transmitting Internet traffic. • Secure Internet servers are servers using encryption technology in Internet transactions. • Information and communications technology expenditures include computer hardware (computers, storage devices, printers, and other peripherals); computer software (operating systems, programming tools, utilities, applications, and internal software development); computer services (information technology consulting, computer and network systems integration, Web hosting, data processing services, and other services); and communications services (voice and data communications services) and wired and wireless communications equipment.
   

 
 Data sources
Data on newspapers are compiled by the UNESCO Institute for Statistics. Data on televisions, personal computers, Internet users, price basket for Internet, broadband subscribers, and international Internet bandwidth are from the ITU and are reported in the ITU’s World Telecommunication Development Report database and World Bank estimates. Data on schools connected to the Internet are World Bank staff estimates. Data on secure Internet servers are from Netcraft (www.netcraft.com/). Data on information and communications technology expenditures are from Digital Planet 2004: The Global Information Economy by WITSA, and Global Insight, Inc.