Juxtconsult India Online 2007 Main Report

India Online 2007

India Online 2007

Main Report The Melting Continues…

© copyright JuxtConsult

Table of Content Introduction to India Online 2007...................................... 1 India Online 2007 Reports ............................................... 2 Methodology ............................................................... 4 Executive Summary ...................................................... 9 Key Findings ..............................................................11 Estimation of Urban Internet Users in India .........................22 Detailed Findings Reading the Graphs & Tables ..........................................28 Penetration & Growth since 2005.....................................30 Demographic Profile of Net Users.....................................31 Socio-Economic Profile .................................................38 Economic Profile.........................................................43 Net Usage Status.........................................................48 Net Usage Dynamics.....................................................54 Preferred Net Activities ................................................68 Most Used Websites .....................................................84 Most Used Offline Media Brands..................................... 105 Response to Online Marketing Stimuli.............................. 109 Offline Brands Recalled .............................................. 110 Segment Wise Detailed Tables ...................................... 111 Appendix ................................................................ 202

India Online 2007

India Online 2007 The India Online 2007 study is not just an annual update over the previous year's India Online 2006 study, but rather a continuation of JuxtConsult’s efforts to keep improving the quality of the study every year. The improvements made in the study this year not only involve further strengthening of the research methodology but also enhancing the coverage of the information, especially in the emerging areas of internet usage in the country like blogging, social networking and language website usage. Accordingly the India Online 2007 set of reports will not only provide you the most recent estimates on the Internet user-ship, its growth and penetration in India but will also give you an 'insightful' understanding of the current net usage behavior and preferences of various kinds of online Indians. Like in the year 2006, JuxtConsult conducted two large-scale 'primary' surveys, one offline and one online to complete the study this year as well. However, the sample size for the 'land' survey (which is used to estimate the size of internet using population in urban India) was almost doubled this year to further improve the coverage among the various population strata in urban India. The land survey, conducted during April 2007, covered 10,000 households across 31 cities of various sizes across all the four regions of the country. The 'online' survey was conducted among 3 of the most popular and generic portals in India, with the focus on capturing the in-depth net usage behaviors and preferences of online Indians. This survey was conducted by JuxtConsult between April-May 2007 and over 14,200 indepth and usable responses were collected and analyzed for final reporting. The key information included in the various reports cover the demographic and socio-economic profiles of the net users, their ownership of household assets, the source and place of their access to internet, net usage dynamics, preferred online activities, website preferences for over 20 key online activities, online buying behavior and spends, response to online marketing stimuli, offline media preferences, and much more. In sum, what you get in India Online 2007 you are unlikely to get elsewhere: X X X X X

Highly credible estimate of internet using population in urban India Key insights on various aspects of internet usage in India An understanding of online Indians as 'consumers' and not just as faceless net users How to reach these online consumers on the net, as well as through the offline mediums Preferred 'user shares' of key online brands in 21 different online activity categories

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India Online 2007 Reports Main Report X

Overall Status and Usage of Internet in India

User Segment Supplementary Reports X X X X X X X X X X X X X X X X X X

Women on the net Youth on the net (teenagers and young adults) Net users by their socio-economic (SEC) profile Students on the net Corporate employees on the net IT professionals on the net Heavy Online Spenders on the net Bloggers on the net Car owners on the net Two-wheeler owners on the net Mobile phone owners on the net Credit card owners on the net Net users by place of access (homes, place of work, cyber cafes) Net users by type of connection (broadband, dial-up) Net users by town population size (10 lakhs plus, 5-10 lakhs, 1-5 lakhs, Below 1 lakh) Net users by town market size (metros, urban uptowns, emerging towns, others) Net users as financial investors Vernacular language net users

Category Supplementary Reports: (Comparative profiling of top 5 websites) X X X X X X X X X X X X X X

Online shopping Emailing Instant Messaging Job search Matrimony Info search - English Info Search - Local language Online travel Social networking/communities Friendship / dating Online news Financial info/news Online share trading Cinema content

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India Online 2007

X X X X X X X

Sports content Online music Online games Online real estate Mobile content download Astrology Online learning/education

Note - All supplement reports are subject to sufficiency of sample responses. Demographic segment-wise details by gender, age, SEC classification, region and place of net access are included in each of the reports as appendix tables.

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Methodology In order to derive highly robust and authentic estimates of the current user-ship of Internet in India, and draw out a truly representative internet usage behavior patterns, we at JuxtConsult keep improving and refining our research methodology for the India Online study every year. In 2007, we have again brought in two significant improvements: X

We have increased our land survey sample base to 10,000 (from 5,500 last year) and the coverage of the number of cities to 31 (from 21 last year). The distribution of these 31 cities continues to be well spread across the 4 regions of the country. But more importantly, in terms of coverage of towns by their population size, we dug deeper this year and covered all town classes that have population of 20,000 individuals and above.

X

Further, to better capture the internet usage across all types of socio-economic classes (SEC) in urban Indian, we allocated equal sample quota among the 5 broad socio-economic classes A, B, C, D and E across various zones within a town, and then across the town classes and regions. To correct for and put back the real representation of the socio-economic classes (and not equal representation) during the data processing stage, we incorporated the appropriate SEC 'weights' derived from the actual urban population statistics from authentic Government sources (National Sample Survey Organization and Census of India).

These two refinements in the sampling methodology ensured that this year we get an even better representation of various types of internet users in urban India. Like last year, this year again we conducted both a land survey and an online survey separately, with the focus of the land survey being on estimating the size of the internet using population in urban India, and that of the online survey on capturing the net usage behavior and preference patterns. The two surveys had some common questions on demographic profiles and net usage behavior to help us link up the two sets of data at the processing stage.

The land survey The objective of the land survey was two fold. First, to help us estimate the internet user-ship in urban India, as with a land survey we could cover both the user and non-user population of the internet in a representative way. The other objective was to derive relevant demographic 'multipliers' from this survey which could then be applied to the internet usage data collected in the online survey. The use of these 'individual' level multipliers helped us make the online survey findings 'representative' of the entire urban online population and not just of those who are more likely to fill up an online surveys (because of factors like convenience of access, regularity of usage, attractiveness of the incentive prize offered for filling the survey, etc.).

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India Online 2007

The land survey undertaken this year was again a household level survey, conducted across 10,000 households in 31 cities spread across all regions of India. The survey was undertaken and completed between mid-April to early-May 2007. Care was taken that all relevant classes of towns with population size of over 20,000 individuals were covered and surveyed across each of the 4 regions of the country. Within a city, 5 geographical locations were chosen, one each in the north, south, east, west and central parts of the city. From each location within a city an equal number of households from the five socio-economic classes A, B, C, D, and E were surveyed. The cities where the land surveys were conducted and the size of the sample data collected from each of these cities are as follows: Table 1: Detailed sample base distribution of the land survey Region North

West

East

South

Total

City/ Town

City Class

Sample Size

City Class

Delhi

10 lakh +

401

10 lakh +

Kanpur (UP)

10 lakh +

297

10 lakh +

Ludhiana (Pun)

10 lakh +

302

10 lakh +

Patna (Bih)

10 lakh +

303

10 lakh +

Allahabad (UP)

5 lakh – 10 lakh

298

10 lakh +

Ajmer (UP)

1 lakh – 5 lakh

314

10 lakh +

Bhadohi (UP)

50 K – 1 lakh

299

5 lakh - 10 lakh

Muradnagar (UP)

50 K – 1 lakh

300

5 lakh - 10 lakh

Sohna (Har)

20 K – 50 K

307

5 lakh - 10 lakh

Mumbai (Mah)

10 lakh +

399

5 lakh - 10 lakh

Ahmedabad (Guj)

10 lakh +

404

5 lakh - 10 lakh

Pune (Mah)

10 lakh +

300

5 lakh - 10 lakh

Rajkot (Guj)

5 lakh - 10 lakh

301

1 lakh – 5 lakh

Dewas (MP)

1 lakh - 5 lakh

303

1 lakh – 5 lakh

Hinganghat (Mah)

50 K - 1 lakh

307

1 lakh – 5 lakh

Mhowgaon (MP)

20 K - 50 K

296

1 lakh – 5 lakh

Katol (Mah)

20 K - 50 K

276

1 lakh – 5 lakh

Kolkata (WB)

10 lakh +

398

1 lakh – 5 lakh

Guwahati (Ass)

5 lakh – 10 lakh

299

50 K – 1 lakh

Bhubneshwar (Ori)

5 lakh – 10 lakh

303

50 K – 1 lakh

Raniganj (WB)

1 lakh – 5 lakh

300

50 K – 1 lakh

Bhatapara (Chat)

50 K – 1 lakh

252

50 K – 1 lakh

Champa (Chat)

20 K – 50 K

292

50 K – 1 lakh

Chennai (TN)

10 lakh +

407

50 K – 1 lakh

Bangalore (Kar)

10 lakh +

406

20 K - 50 K

Hyderabad (AP)

10 lakh +

410

20 K - 50 K

Mysore (Kar)

5 lakh – 10 lakh

329

20 K - 50 K

Kozhikode (Ker)

1 lakh – 5 lakh

300

20 K - 50 K

Nellore (AP)

1 lakh – 5 lakh

300

20 K - 50 K

Cheruvannur (Ker)

50 K – 1 lakh

294

20 K - 50 K

Edapaddi (TN)

20 K – 50 K

305

20 K - 50 K

10,002

Total (31)

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To check for both the 'regular' as well as 'occasional' usage of the Internet, at each of the 10,002 households contacted it was queried: X X

If any member of the household use the Internet 'at all' from anywhere (home or any location outside)? And If any member of the household use the Internet ‘at least once a month’ from anywhere (home or any location outside)?

Some further questions related to the specifics of demographic profile of the head of the household, their knowledge of English, computer usage, and asset ownership of the household were also asked from the respondent. The usage of computer and Internet was separately checked for each member of the household from the respondent. The above information about the head of the household, especially their education and occupation profile (thereby identifying their socioeconomic or SEC classification) together with the town size class and region were used to link up to the similar authentic Government of India data to estimate the Internet user-ship as well as to generate the appropriate 'multipliers' that were to be applied to the data collected from the online survey.

The online survey The online survey was used to collect the in-depth information on internet usage patterns and other media usage patterns among the various types of net users. This was done through a 'large-scale' online survey conducted between end-April to mid-May 2007 among the users of three of the biggest and most generic portals in India, namely Yahoo, Rediff and Google. On one end, the email properties of Yahoo, Rediff and Google (Gmail) were used through online survey campaigns to target the widest possible base on internet users in a random manner and collect responses (as these three email portals together cover almost all email users with a personal email id in the country). At the same time, to cover for whatever may have got missed out in these survey campaigns on email portals, a parallel 'contextual search' based survey ad campaign was run using Google AdSense. All the survey campaigns were paid for and officially run by these portals among their users. The overall online survey campaign used a combination of banner ads, e-mailers and contextual search ads through these portals. The online survey was conducted using an e-questionnaire segmented into three sections. The questionnaire was pre-tested and timed to take approximately 15-20 minutes for a respondent to complete depending on the speed of comprehension and answering of the questions. The questionnaire was structured and designed to reduce the level of 'respondent fatigue' to an extent that was practically possible. In this year's study, the information area coverage (in the online questionnaire) was also enhanced and fine tuned somewhat to keep abreast with the changing and evolving Indian online space:

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India Online 2007

X

X

X

The net usage behavior and preferences of new phenomena like blogging, social networking and language content checking were included. In terms of capturing website preferences, 6 more online activity categories were included this year to take the coverage to 21 categories. The new categories added were instant messaging, real estate, online info search engine in local languages, astrology, online share trading and online learning/education. The question about 'blogging' was fine tuned to segregate usage behavior between only reading blogs, posting comments on blogs and having a blog site of one's own.

In the online questionnaire, a response format of 'clicking' a single or multiple options among the various given options was used for most questions. For each of these questions it was also possible for a respondent to answer 'none' or 'any other'. However, wherever the respondents were asked to give preferences for websites or brand names, only a text box was provided for them to type the name on their own (or type 'none' if not applicable). This was done to ensure that all such recall and actual usage preference responses were solicited 'unprompted'. Further, to enlist complete and sincere responses, an incentive of a significant cash prize was also announced for one selected respondent to be given at the end of the survey. Over 26,000 unduplicated and clean responses were collected from the online survey campaign in about 3 ½ weeks time. Of these, all 26,000 responses were complete on user profiles and their net usage behavior information. Around 14,200 responses were complete in all aspects, including various online activities undertaken and website preferences. Thus, the responses from the three sections of the online survey have different valid sample bases and have been reported accordingly. All the usable responses after data cleaning were then collated, crosschecked and processed for tabulation and analysis. While doing the tabulation, any errors and spelling mistakes in typing of the brand names, etc. by the respondents were carefully corrected. Finally, the appropriate weights (multipliers) as derived from the land survey were incorporated into the usable online survey responses to make them more 'representative' of the entire urban online population. Further, for questions that asked for preferred websites names, to remove the possible 'source' bias towards any specific generic portal among the three generic portals used, an 'equalization' correction factor was also incorporated. The net result was the compilation of the latest, highly authentic and representative database on the Internet habits and website preferences of online Indians. This database was then used for making 'insightful' analysis and conclusions as contained in the various reports of the India Online 2007 study.

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Last but not least, in this year's reports we have brought in the presentation of the 'changes' in the usage behavior and preferences visà-vis the last year. Wherever relevant, these changes have been presented graphically along with all the current year's data charts, graphs and tables. Note - Because of a deeper and more robust coverage of internet usage among the smaller towns (down to 20,000 population town classes), and among all the socio-economic classes in this year's land survey, there is likely to be an element of 'correction' seen in this year's data (as compared to the previous year's). These corrections are likely to be more visible in some of the demographic, socio-economic and economic profile of online Indians. The correction factor may also apply, though assumedly not to the same degree, to the current year's data on net usage behavior and website preferences.

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India Online 2007

Executive Summary Internet usage in India continues to grow at a slow but ‘steady’ pace. User-ship has grown by a healthy 28% to reach 30.32 million. From a practical point of view, 20 million internet users (or 2 out of every 3 online Indians) are on the net daily. The added new users are more peripheral, ‘occasional’ internet users. Occasional users now form 17% of all Internet users (5.15 million) and not just 7% (or 1.65 million) as in the last year. The melting of the large demographic segment continents (skews) continue. The internet user and usage patterns are increasingly flattening out more and more. Smaller towns are accounting for as much internet user base as large or mid-size towns. Usage among lower SEC groups is gaining hold. Below 19 years and above 35 years olds are also adding to the bandwagon. The ‘purchasing power’ shows upgrading. The economic profile of the ‘regular’ internet users shows an improvement at the overall level. Proportion of users with Rs.10,000 plus monthly household income has gone up noticeably. More cars, credit cards and popular household assets are being owned compared to the last year. Two thirds of the regular internet users at individual level (and one third of the internet using households) own a computer of some kind at home. Growth got fuelled more by home-based usage this year. If last year’s growth was driven more by the spread and increased usage from cyber cafes, this year’s growth had got fuelled more by the increased usage from homes. High broadband penetration not really delivering ‘high-speed connectivity’ experience yet. Broadband has become the main source of internet connectivity among the majority of regular online Indians. However, with complaints like ‘slow opening of websites’ and ‘difficulty in getting connected to the net’ still widely prevalent, it appears that a large part of the available broadband connectivity is not really true ‘high speed’ broadband connectivity in practice. Stagnation of cyber café has been the most disappointing phenomenon of the year. The access of internet from cyber cafes has not only stagnated at around 47% reach, but the fact that only less than 2% of regular internet using population accesses the net exclusively from a cyber café indicates its ‘secondary usage’ nature and a real cause of worry from the perspective of rapid growth of internet usage in India in the near future. Networking and Entertainment activities are the biggest gainers in popularity. Communication, networking and entertainment activities stand out as the more popular online activities, with the biggest gains

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in usage accumulated by social networking, matrimonial search and dating and friendship activities. Online buying grows by 76% over the last year. The online buyer base has become 10.8 million strong, representing a 76% growth over the last year’s base of 6.15 million. Interestingly, online travel bookings overshadows online buying of all other products put together. Yahoo is the most recalled online brand but Google is the most used one. Yet it is neither Yahoo nor Google but Orkut which shows the best recall-to-usage conversion ratio.

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India Online 2007

Key Findings Its ‘walking’ alright now….the ‘running’ will only follow Internet usage in India continues to grow at a slow but steady pace, both in ‘spread’ and ‘depth’. If there are no visible signs of any sweeping or far-reaching growth on the horizon yet, there are no indications of any slowdown either. If the overall internet using population in urban India grew by 22% during April 2005 - April 2006 to reach 23.6 million, then it has grown by a healthier 28% between April 2006 and April 2007 to reach 30.32 million now. Table 2: Growth in Internet users in urban India

Total internet using urban households Average internet users per urban household Internet using urban individuals (regular) Internet using urban individuals (occasional) Total internet using urban individuals

2007

2006

Growth

12.75 mn

11.20 mn

14%

1.97

1.96

1%

25.17 mn

21.95 mn

15%

5.15 mn

1.65 mn

212%

30.32 mn

23.60 mn

28%

The ‘steady’ pace of growth in internet usage over the last two years is also indicated by the fact that the proportion of regular internet users with over 2 years of internet usage experience has remained constant at around 62% - 63%. Of the total 30.32 million urban internet users, 25.17 million (83%) are the ‘regular’ users who log on at least once a month and the balance 5.15 million (17%) are the ‘occasional’ users who use the internet with a lesser frequency than that. From a practical point of view, 20 million internet users (or 2 out of every 3 online Indians) are on the net daily.

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Graph 1: Current Status of Internet Usage in Urban India

Current Internet Usage All Internet Users 30.32 million (100

Use less than once a month

Use at least once a month

Occasional Users

Regular Users

5.15 million (17%)

25.17 million (83%)

Non-Daily Regular Users

Daily Users

5.16 million (17%)

20.01 million (66%)

At 30.32 million, the penetration of Internet among the urban Indians stands at 9% now. Assuming a marginal usage of a couple of millions in the rural areas as well (taking the total number of internet users in all of India to 33 million), the all-India level penetration of internet usage would be around 2.8% or so 1. The added new users are more peripheral, ‘occasional’ internet users The 28% growth in internet user-ship this year is accounted for more by growth in the base of ‘occasional’ or ‘fringe’ users rather than that of the ‘regular’ users. As can be seen from table 1, while the base of regular users grew only by only 14%, the base of occasional users grew by 212%. Occasional users now form 17% of all Internet users (5.15 million) and not just 7% (or 1.65 million) as in the last year. However, this increase in the base of occasional users cannot be entirely attributed to the new users getting added in last one year and some of it may actually be a result of ‘methodology correction’. As indicated in the methodology section, this year JuxtConsult improved its coverage of internet usage in smaller towns and among the lower SEC groups. Accordingly, some of the increase in base of occasional users may actually be a result of better capturing of these ‘fringe’ internet users in this year’s survey as compared to the last year’s survey.

1 The penetration figures have been calculated assuming the total current population of India at 1.2 billion and the total urban population at 336 million.

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However, despite the ‘correction’ bit, the slowdown in the growth momentum of the ‘regular’ internet users is clearly visible. While their base grew by 26% last year (adding 4.55 million users), it grew by only 15% this year (adding 3.22 million users). Graph 2: Growth of ‘Regular’ Internet Users 30

15%

Million Users

25

26%

20 15

25.17 21.95

17.40

10 5 0 2005

2006 Regular Users

2007

The melting in the pot continues….and the soup is thickening Internet usage patterns are gradually flattening out more and more: X

If 50% of all internet users came from the top 8 metro cities last year, only 37% of them come from these cities now. On the other hand, if the ‘evolving’ mid-size cities account for another 30% of them, then the ‘emerging’ smaller towns accounts for the balance 33% of the internet using population.

X

Similarly, if the 19-35 years age groups accounted for 3 out of 4 internet users (76%) last year, then they account for 2 out of 3 internet users (67%) now.

X

In terms of socio-economic classification (SEC), if 2 out of 3 internet users (66%) came from SEC ‘A’ and ‘B’ classes last year, then only about 1 in 2 internet users (56%) come from these classes now.

X

If only 1 in 4 internet users (24%) was ‘head’ of the household till last year, almost 1 in 2 of them (47%) are ‘head’ of the households they represent.

X

If 21% of all internet users came from ‘IT’ functional background last year then a noticeably lower 17.5% of them come from this functional background now.

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Table 3: Top 10 cities by contribution to Internet user-ship in urban India Rank

City

1

Delhi & NCR

2

Mumbai & Suburbs Bangalore

3 4

% of Regular Internet Users

Regular Internet Users (in millions)

Regular Internet Users as % of Population

11.90%

3.00

25%

9.80%

2.47

17%

6.40%

1.61

37%

5.40%

1.36

36%

4.20%

1.06

24%

5

Hyderabad & Secunderabad Chennai

6

Kolkata

3.30%

0.83

18%

7

Pune

2.50%

0.63

24%

8

Ahmedabad

1.60%

0.40

11%

9

Lucknow

1.30%

0.33

14%

10

Coimbatore

0.90%

0.23

24%

Their ‘purchasing power’ has upgraded Despite a deeper spread of internet usage among the smaller towns and lower socio-economic class households the economic profile of the ‘regular’ internet users shows an improvement at the overall level. May be the SEC profile of a household has stopped being a good indicator of a household’s economic and consumption status. X

X X X X

The proportion of internet users with Rs.10,000 plus monthly household income (MHI) has gone up +13% to account for 62% of all internet users. The ownership of cars among them have gone up +5% to reach 28%. Credit card ownership has increased +7% to reach 34%. Nine out of 10 regular internet users have taken up a loan of some kind. Ownership of most of the household assets has also gone up among the regular internet users, as indicated by the table below.

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Table 4: Ownership of popular household assets among online urban Indians Household Asset

Computer/Laptop

66%

% Owning in 2006 49%

Credit Card (in the household)

35%

27%

8%

Debit Card

52%

45%

7%

Microwave

24%

19%

5%

Air Conditioner

25%

20%

5%

Mobile Phone

90%

85%

5%

Fridge

75%

71%

4%

Medical Insurance/CGHS

33%

29%

3%

Color TV

92%

90%

3%

Washing Machine

57%

55%

2%

Life insurance

61%

59%

1%

Mutual Funds

22%

23%

-1%

Landline Phone

62%

64%

-2%

Cable TV connection/DTH

72%

77%

-5%

Home (House)

58%

68%

-10%

7%

27%

-20%

Chit Fund Deposits

% Owning in 2007

Increase in Penetration 17%

It is interesting to note here that two-thirds (66%) rather than half (49%) of the regular internet users have a personal computer / laptop at home. With an average internet user-ship of 2 per household, every third internet using household (33%) has a computer at home. Further, it is seen that the ownership of a house and of cable TV show a decline, maybe as a result of better coverage of smaller towns and lower SEC groups in the survey. Growth got fuelled more by home-based usage this year If last year’s growth was fuelled by the spread and increased usage from the cyber cafes, then this year’s growth has got driven by the increased usage of internet from homes. The usage of internet from homes has gone up +19% to reach 59%. However, place of work (office, school, colleges, etc.) still continues to be the single largest place for accessing internet at 78% (up +16% over the last year’s figure of 63%). The most disappointing phenomenon during this year has been the near stagnation of the cyber cafes as a place of accessing internet. Its usage has gone up only +1% to reach 47% this year. An even bigger worry about the usage of internet from cyber café is the fact that only 1.4% of the regular internet using population is accessing

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the net ‘exclusively’ from a cyber café. This indicates that the relevance of cyber cafés is only ‘secondary’ in nature as of now. This could really throw the spanner in the wheel of rapid growth of internet usage in India, as in a country like India the large-scale (mass) accessibility and affordability of computer at self-ownership level may still be a long way away. Graph 3: Current Status of Internet Usage by Place of Access

Internet Usage by Place of Access Office – 78%

Home – 59%

Office Only 59%

Home Only 12%

29%

10% 27%

8%

Cyber Café Only 1%

Cyber Café – 46%

Broadband is reaching more and more online urban Indians Broadband has become the main source of internet connectivity among the majority of regular online Indians, including those accessing it from homes. At least 3 out of 4 regular internet users (77%) who access the net from home now do so using some form of a broadband or superior connection (up 14% points over last year’s broadband reach at homes). At least 74% of office-based usage is also on broadband or superior connections (up 2% points over last year). But despite the widespread usage of broadband connections, the biggest problem faced on the net (by at least 2 out of 3 net users) is the ‘slowness in opening of websites’. Almost 1 in 3 net users (35%) also complains about the ‘difficulty in connecting to the net’ in the first place. Therefore, it appears that a large part of the available broadband connectivity is not really true ‘high speed’ broadband connectivity in practice yet.

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Virus, spy-ware, spam, junk mails, unsolicited ads and pop ups form the other main area of irritants and problems faced on the net. However, despite the technical glitches and the ‘unasked for’ irritants, the frequency of accessing internet from homes has improved noticeably. 84% of those accessing net from home do so ‘daily’. The daily usage of internet from homes is now only marginally behind daily usage from office which stands at 86%. There has been no noticeable change in internet usage pattern by the day-parts, either from homes or from the offices. Nor is the ‘weekend’ usage of the internet any heavier than its ‘weekday’ usage. Net users are ‘heavier’ users of internet from home than of the other mediums Internet users who access the net from home tend to be relatively ‘heavier’ users of the internet as compared to the offline mediums (TV, newspaper and radio). Table 5: Duration of usage of Internet and offline mediums from home

Light Users (less than 1 hr. a day) Medium Users (1-2 hrs. a day) Heavy Users (more than 2 hrs. a day)

Internet

TV

Newspaper

Radio

43%

44%

46%

72%

35%

43%

41%

19%

22%

13%

14%

10%

However, in absolute terms, about half of the internet users continue to be ‘light’ users of the medium, irrespective of whether they access the net from home (43%) or from the office (45%). Regular internet users are the lightest users of radio. Two thirds of the internet users (67%) are also light users of computer at home. On the other hand only one third of them (31%) are light users of computers from office. Therefore, on a relative basis, net users accessing the net from home spend a significantly ‘higher proportion’ of their computing time doing net surfing than those who access the net from office. Networking and Entertainment activities are the biggest gainers in popularity Communication, networking and entertainment activities stand out as the more popular online activities. In the list of the 10 most popular online activities among the regular internet users, 5 fall in the domain of communication and networking activities (emailing, instant messaging, chatting, e-greetings and dating/friendship) and 4 of the balance 5 fall in the domain of entertainment activities (news, sports, music, and games).

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Table 6: Popularity of online activities (Top 10) Rank

1 2 3 4 5 6 7 8 9 10

Online Activity

Emailing Job Search Instant Messaging Check News Online Music Chatting E-greetings Check Sports Online Games Dating/Friendship

% Undertaking in 2007 95% 73% 62% 61% 60% 59% 58% 57% 54% 51%

% Undertaking in 2006 94% 53% 37% 53% 48% 49% 57% 35% 35% 27%

Increase

1% 20% 25% 8% 12% 10% 1% 22% 20% 25%

When compared with the last year, the biggest gainers among the online activities in terms of popularity of usage were social networking, friendship and matrimonial activities. On the other hand, the biggest losers in popularity in last one year have been local language content websites. Table 7: Online activities that gained maximum popularity Biggest Gainers

Social Networking / Communities Matrimonial Search Check Financial Info Check Real Estate Info Instant Messaging Dating / Friendship Biggest Losers Search Work Related Info Check Health & Lifestyle Info Screensavers / Wallpapers Educational / Learning Material Local Language Website Usage

% Undertaking in 2007

% Undertaking in 2006

Increase

44%

-

44%

48% 46% 37% 62% 51%

15% 15% 11% 37% 27%

33% 30% 26% 25% 25%

49% 30% 46%

50% 32% 48%

-1% -2% -2%

48%

52%

-4%

12%

42%

-30%

The ‘rise’ of (social) networking and the ‘hype’ of blogging If we combine social and professional networking together, then 56% of all internet users undertake either or both of these networking

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activities. However, social networking forms the larger part of this pie with 29% of net users undertaking only social networking exclusively. Further 4 out of 10 online Indians (41%) are also a member of some or the online ‘community’. Alumni, Technology, Romance and Relationships, Professional and Music communities are among the most popular online communities. Checking blogs which appeared to be a highly popular online activity in last year’s survey seems to be an anomaly. Last year almost 85% net users indicated that they ‘blogged’. We ourselves were not too sure if this was correct and concluded that even if this was the case then a lot of it might be just ‘reading’ blogs and that too as a result of ‘default’ blogging (as part of the info search process). To clear this doubt, this year the question on blogging was more specifically asked differentiating between reading, commenting and owning blogs. This years findings clearly indicates that blogging still remain only a ‘tertiary’ internet phenomenon, with only about 31% of all internet users involved in blogging (may be last year’s very high number was also because of lack of clarity and understanding of the blogging phenomenon in respondent’s minds). While 27% of all online Indians read or check blogs, 15% of them comment on blog sites and only 7% of them have a blog site of their own. That is, in effect 89% of all net users who are involved with bolgging only read blogs.

Online travel booking overshadows online buying of all other products put together Overall 43% of all regular online Indian have bought online. In number terms, this means a 10.8 million strong current online buyer base, representing a 76% growth over the last year’s figure of 6.15 million. Interestingly, a substantial 84% of the online buyers have bought a travel product online. In comparison, only 56% of the online buyers have bought a non-travel product online. In effect, it means that there are only 14% online buyers who have bought other products but never a travel product online. On the other hand, 44% of all online buyers have bought only a travel product online and nothing else.

Yahoo is the most recalled online brand but Google is the most used Yahoo once again emerges as the most top of mind recalled online brand of all with 30% of all online Indians recalling it as the first online brand coming to their minds. However, when it comes to actual usage it is Google which emerges the frontrunner, piping Yahoo to the post, with 29% of all internet users preferring to use Google the most among all the websites.

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However, at the overall level it is neither Yahoo nor Google but Orkut which shows the best recall-to-usage conversion ratio of 1.76. Table 8: Overall popularity of websites (Top 10) Rank

Website

Top of Mind Recall 29.80%

Website Usage 26.60%

Usage/ Recall Ratio 0.89

1

Yahoo

2

Google

27.20%

29.30%

1.08

3

Rediff

11.50%

10.90%

0.95

4

Orkut

4.50%

7.90%

1.76

5

Gmail

2.90%

3.90%

1.34

6

Hotmail

1.60%

1.50%

0.94

7

Indiatimes

1.00%

0.90%

0.90

8

Contest2win

0.60%

0.30%

0.50

9

MSN

0.50%

0.40%

0.80

Naukri

0.50%

0.50%

1.00

10

In terms of specific online activities, both Yahoo and Google emerge as the most popularly used websites for 14 of the 23 popular online activities surveyed (7 each). Table 9: Most popular websites for specific online activities Online Activity Emailing

Yahoo

% Prefer to Use 53%

Instant Messaging

Yahoo

63%

Info Search – English

Google

75%

Info Search – Languages

Google

74%

Naukri

37%

-13%

Makemytrip

17%

7%

Yatra

16%

16%

Ebay

34%

-4%

Yahoo

14%

4%

NDTV

12%

-1%

Google

13%

1%

Moneycontrol

13%

3%

ICICI Direct

36%

Google

17%

Magicbricks

14%

Bharatmatrimony

29%

Job Search Online Travel Online Shopping Online News Financial News & Info Online Share Trading Real Estate Info Matrimonial Search

Top Website

YoY Increase 16% -2%

-4%

Shaadi

28%

-5%

Dating / Friendship

Orkut

36%

32%

Social Networking

Orkut

64%

Yahoo

18%

Online Games

-13%

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India Online 2007

Zapak

17%

17%

Yahoo

14%

-8%

Rediff

12%

-10%

Raaga

22%

5%

Espnstar

29%

5%

Cinema Content

Yahoo

11%

-2%

Astrology

Yahoo

22%

Online Education

Google

34%

Local Language Content

Google

12%

Blog Site

Google

21%

Mobile Content Online Music Sports Content

To sum up, while the usage of Internet has shown a slow but steady growth in the last year, online buying, especially of travel products has shown a tremendous growth. Further, internet continues to be the ‘melting pot’ of the big Indian middle ‘mass’ of urban consumers. However, the size of the pot itself is currently becoming the biggest limiting factor in the future growth of Internet usage in India. Accordingly, the call for breaking the barriers of both software limitations (content, especially language content) as well as hardware limitations (wider, speedier and affordable connectivity and access to the net) continues.

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Estimation of Internet Users in Urban India Depending upon the definition used of what constitutes an Internet user, methodology used, and the quality of the underlying data, many different estimates have been thrown up on internet user-ship in India from time to time 2. Therefore to ensure consistency in its own estimations at least, JuxtConsult this year again continued with its unique and tried-andtested method of using a combination of ‘land’ survey at household level to identify both users and non-users and an ‘online’ survey to get Internet user’s detailed responses. To work out a methodologically sound and technically correct sampling and estimation process, JuxtConsult once again took the expert advice of Indicus Analytics, one of the leading economic research firms in India. However, there were a few key improvements brought in the methodology this year in order to have a more accurate and representative estimate of the internet user-ship in India. These changes were: X

More in-depth representation of Urban India: As explained earlier in the methodology section, this year our land survey went deeper to bring in representation of all 20,000 plus population towns in Urban India. This has in effect made the survey (and the estimate) representative of over 1,350 towns in India. The sample selection for the land survey was also done very carefully to bring in representation of all four zones, maximum states and all 7 town classes 3.

2

Why are the estimates from varying sources so different? There are many reasons – differences in methods, orientations, and definitions, all contribute. For instance who is an Internet user – is he / she one who uses the net at least once a month? Or is a net user someone who uses it once a day? Also some estimates are based on expected growth, where past growth is ‘proxied’ for expected growth. It is evident that in the nascent stage of any industry, the number of consumers grows exponentially in the initial stages, then grow linearly, and then at a slowing rate. Blind use of past growth can therefore lead to inordinately high and overly optimistic projections. 3 The town definitions and classifications were referenced from the 2001 Census, where towns are classified basis their population into classes like: 20,000 to 50,000 population; 50,001 to 1,00,000; 1,00,001 to 5,00,000; 5,00,001 to 10,00,000; 10,00,001 to 30,00,000; 30,00,001 to 50,00,000 and Above 50,00,000.

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X

Allocation of equal quotas for SEC 4 to avoided skew of lower SECs in the sample: Many a time field interviewers find respondents easily from lower SECs (being higher in proportion) for face-to-face interviews. When one is trying to estimate incidence rate, it is difficult to avoid this. Hence this year we decided to pre-set an equal quota of all five SECs to avoid any kind of skewed representation.

X

Collection of household parameters at an Individual adult level: In order to estimate internet users we went well beyond collecting information to just know the internet user and non-user proportions in the population. We further probed for the ‘characteristics’ of the head of household and some of the other basic household characteristics like total members in the household, their demographic profiles and the household’s asset ownership. We not only queried the respondent to provide ‘number of male and females’, ‘household asset ownerships’ but also collected very rich and relevant information on each of the adult member (12 years and above) in that household. Starting from gender; age; educational and occupation characteristics; degree of proficiency in speaking, reading and writing English; we finally collected ‘ever’ and ‘regular’ use of computer and internet at an adult member level (12 years and above).

X

Probability of Individuals not being reported as Internet user by the respondent: We have been carefully analyzing the numbers from our various surveys since 2005, telephonic survey for Internet user incidence, off-line land survey, and the online surveys of internet users. We have found from our various surveys that the ‘probability’ of an individual not being reported as internet user by the other members of the household is about 15%. These probabilities were also calculated for various groupings like ‘number of member in a household’, ‘town class’ and ‘SEC’ level. Basis that we arrived at a ‘correction factor’ to take care of probability of respondent’s lack of awareness about internet users in the household. In this year’s estimation of internet using population in urban India we have used this correction factor to further improve our numbers. At the same time, to be consistent in our estimation of the ‘growth’ in usage over the last year (and to make this year’s data comparable with the last year’s data) we have revised our last year’s estimates using the same correction factor.

X

Government of India data sources for universe estimates to generate multipliers: Using data from the National Survey of Savings and Income, National Sample Survey Organization’s large sample employment survey, and district level detailed demographic data from the Census of India, Indicus estimated the number of 4

Based on the education & occupational profile of the Chief Wage Earner (the one who contributes maximum income towards monthly household expenses), classifying the urban Indian households into 5 socio economic classifications (SEC). Refer to appendix for the detailed SEC grid.

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households across the SEC categories (A, B, C, D, and E) and further broke it up to three town classes (less than 100,000 households, 100,000 to 500,000 households and greater than 500,000 households) for each of the geographical regions of the country. Hereafter a household level ‘multiplier’ was constructed for each of the household showing some varying combination of these three factors (SEC, city class and region). This resulted in deriving 60 distinct household level multipliers (5 SEC * 4 Regions * 3 Town Classes). These 60 multipliers (or weights) were then applied to the individual level responses received on usage of ‘computer’ and ‘internet’ from our land survey. In 2006 we had estimated the number of households with at least one individual internet user to be 13.01 million, and the ‘regular’ individual internet user population to be 21.4 million. This was based on the last year’s land survey results. However, after completing this year’s survey and comparing the two year’s data we found that we had marginally over-estimated the number of households that had an internet user in our last year’s findings. We found this out only this year after observing our results from a ‘deeper sample’ usage. The over-estimation is largely because of the following phenomenon – the households that were located away from large centers, and came under lower SEC and in low income areas tended to have a lower likelihood of having internet users than we had estimated last year. At the same time, we also found that especially for internet users coming from the lower SEC and lower income households, there was a much greater likelihood that the ‘other members’ of their household may not know of their internet usage. The individual multipliers therefore needed to be adjusted for this reporting bias from households. After making the ‘correction’ for these biases in our last year’s data, the corrected and revised number for the year 2006 stand as: 11.20 million households with at least one individual internet user, and 21.95 million ‘regular’ individual urban internet users. Table 10: A comparative view of the internet using population estimates

Average users per household Internet using households (any member using from anywhere) All internet users (any member using internet from anywhere) Regular internet users (use internet from anywhere at least once a month) Occasional internet users (use internet from anywhere but less than once a month)

2006 (Revised)

2007

Growth

1.96

1.97

1%

11,200,000

12,753,417

14%

23,604,301

30,322,734

28%

21,952,000

25,167,869

15%

1,652,301

5,154,865

212%

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India Online 2007

X

Therefore, we estimate the total ‘regular’ internet users in urban India to be 25.17 million, where the regular users are defined as those who use the internet at least once a month, which is also the internationally accepted norm. The corresponding figure of regular internet using urban Indians in 2006 is corrected to 21.95 from 21.4 million basis fresh household estimates. This indicates a 15% growth in the number of ‘regular’ urban internet users between 2006 and 2007.

X

Of the 25.17 million regular urban online users about 20.6 million (81%) are males users and 4.5 million (19%) are females users.

X

With a total of about 12.75 million estimated urban households having one or more regular internet user, the average regular internet users per household is 1.97.

X

In addition to the 25.17 million regular users of internet, we estimate that there are an additional 5.15 million ‘occasional’ users of the internet in urban India (defined as those who use the internet for less than once a month). This makes the total internet using urban population to be not more than 30.32 million currently. The occasional user base has grown 212% over last year.

X

At 30.32 million urban users, the penetration of internet usage in India is around 9% of the total urban population (our estimate of total urban Indian population in 2007 is about 336 million). Even if we assume and add another 2-3 odd million for rural based usage of internet in the country, the total all-India penetration of internet usage would range around 2.8% at best (assuming the total Indian population in 2007 to be 1.2 billion).

The future outlook Presence of a significant ‘occasional’ user base can be read as a sign of people getting familiar with internet but not really finding a benefit amazing enough to stick to it. Given the current scenario of 28% overall growth and 15% growth in ‘regular’ internet users, we don’t see the ‘inflection point’ in internet usage growth coming in near future. We definitely do not expect rapid growth in the near future, especially when we consider the issues of current technologies, affordability, net content, search engines and lingual issues? We feel that not much has changed significantly at the ground level in the last two years for us to really change our future outlook on projecting the growth of Internet in India. Though broadband connectivity is penetrating internet using homes rapidly and creating much faster access to the Internet among the existing users, its impact on getting news users into the market is still in its nascence. Unless it becomes even more affordable and penetrates deeper into the cities it is unlikely to be the ‘catalyst’ of any big bang growth. In this regard the stagnation and declining relevance of cyber

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cafes from a pedestal of a place for ‘mass access’ of internet usage has been really disappointing and disheartening. Similarly, the development of relevant language and local online content, affordability or access to computers at home or at community level (cyber cafes not withstanding), have still not reached a level of significance where they can make such an impact. Accordingly, keeping in mind all the ground level realties, we do not see any reason to revise our future outlook and estimate. We do not expect the urban internet user-ship in India to reach beyond the 50-55 million mark in the near future (say, 2010 or so), at least not until the ground level factors turn around significantly and suddenly.

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Detailed Findings

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Reading the Graphs & Tables Age 13-18 years Age 25-35 years Age 46-55 years 36% 31%

Current Year 40%

20%

Age 19-24 years Age 36-45 years Above Age 55 years

13%

11%

6% 2%

Current year base

0% All Users

Base: 25,060

Same series color as the current year graph, showing an increase of 5% in the proportion of 13 to 18 years age group

Change from previous year

Change from PY 10% 5%

5%

1%

2%

1%

0% -5% -10%

-5%

-4%

Base: 25,060(CY), 20,268(PY)

Current year base

Previous year base

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India Online 2007

Assets

Current Year

Change from PY

Color TV

92%

3%

Mobile Phone

90%

5%

Bank Account*

82%

Fridge

75%

4%

Cable TV connection/DTH

72%

-4.6%

Computer/Laptop

67%

18%

Camera*

64%

Landline Phone

62%

-1.9%

Life insurance

61%

1%

Home

58%

-10.0%

Washing Machine

57%

2%

Music System/DVD/MP3*

55%

Debit Card

52%

7%

Credit card

35%

8%

Fixed Deposits*

34%

Medical Insurance/CGHS

33%

3%

Air Conditioner

25%

5%

Microwave

24%

5%

Mutual Funds

22%

-1.2%

Demat account*

21%

Share of companies*

20%

Video Camera*

20%

IPod*

10%

Chit Fund Deposits

7%

Fields marked with * means that the field is added this year hence not comparable to last year

A blank in this column means that this attribute was not included in last year’ survey and therefore no ‘change over previous year’ can be presented

-19.9%

Base: 25,060(CY), 20,268(PY)

Current year base

Previous year base

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Penetration and Growth since 2005 Graph 4: Growth of ‘Regular’ Internet Users

30

15%

Million Users

25

26%

20 15

25.17 21.95

17.40

10 5 0 2005

2006 Regular Users

2007

Table 11: Estimated Internet user-ship growth and penetration 2005

2006 (Revised)

2007

9.28 mn

11.20 mn

12.75 mn

1.9

1.96

1.97

17.63 mn

21.95 mn

25.17 mn

5.20 mn

1.65 mn

5

5.15 mn

22.83 mn

23.60 mn

30.32 mn

Total internet using urban households

-

21%

14%

Average internet users per urban household

-

3%

1%

Internet using urban individuals (regular)

-

25%

15%

Internet using urban individuals (occasional)

-

-68%

212%

Total internet using urban individuals

-

3%

28%

As % of urban population of India - Regular Users

6%

7%

7%

As % of urban population of India - All Users

7%

8%

9%

318 mn

327 mn

336 mn

Estimated Internet user-ship Total internet using urban households Average internet users per urban household Internet using urban individuals (regular) Internet using urban individuals (occasional) Total internet using urban individuals Growth

Penetration

Urban Population of India (Census 2001 projections)

5 May have been under-estimated because of relatively less deeper coverage of SEC 'D' and 'E' in the land survey

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India Online 2007

Demographic Profile of Net Users Chart 5: Gender breakup Current Year

Male

100%

Female 82%

80% 60% 40% 18%

20% 0% All Users

Base: 25,060

Chart 1: Gender breakup Change from PY 10% 5%

6%

0% -5% -10%

-6%

Base: 25,060(CY), 20,268(PY)

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Chart 6: Age group distribution Age 13-18 years Age 25-35 years Age 46-55 years 36% 31%

Current Year 40%

20%

Age 19-24 years Age 36-45 years Above Age 55 years

13%

11%

6% 2% 0% All Users

Base: 25,060

Chart 2: Age group distribution Change from PY 10% 5%

5%

1%

2%

1%

0% -5% -10%

-5%

-4%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Chart 7: City Class - by population size Current Year

Upto 1 Lakh

1-5 Lakhs

5-10 Lakhs

Above 10 Lakhs

60% 45% 40%

20%

29% 12%

15%

0% All Users

Base: 25,060

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Chart 8: City class - by market size Current Year 40%

Metro

Urban uptowns

Emerging Towns

Others

37% 33%

20%

16%

14%

0% All Users

Base: 25,060

Chart 3: City class - by market size Change from PY 17%

20% 10% 0% -10%

-4%

-20%

-2% -11%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Table 12: Top 10 cities Cities

Current Year

Change from PY

Delhi

12%

-3%

Mumbai

10%

-5%

Bangalore

6%

-3%

Hyderabad

5%

-2%

Chennai

4%

-1%

kolkata

3%

-2%

Pune

3%

-1%

Ahmadabad

2%

-0.6%

Lucknow

1%

-0.2%

0.9%

-0.4%

Coimbatore

Base: 25,060(CY), 20,268(PY)

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Chart 9: Region-wise break-ups Current Year

South

West

North

East

60% 40% 40% 26%

22%

20%

12%

0% All Users

Base: 25,060

Chart 4: Region-wise break-ups Change from PY 10% 5%

6%

6% 1%

0% -5% -10% -15%

-13%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Table 13: Preferred language of reading Cities

Current Year

Change from PY

English

41%

-18%

Hindi

19%

0.7%

Telugu

6%

4%

Tamil

6%

3%

Malayalam

5%

1%

Marathi

4%

0.4%

Kannada

4%

2%

Gujarati

4%

2%

Bengali

3%

2%

Oriya

3%

2%

Base: 25,060(CY), 20,268(PY)

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Socio-Economic Profile Chart 10: Socio economic classification Current Year

SEC A

40%

SEC B

SEC C

SEC D

SEC E

32% 24%

23%

20%

14% 7%

0% All Users

Base: 25,060

Chart 5: Socio economic classification Change from PY 7%

10% 5%

0.3%

2%

0% -5%

-5%

-10%

-5%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Chart 11: Highest educational qualification Up to SSC/HSC College but not Graduate Graduate & above - general stream Graduate & above - professional stream Others

Current Year 60%

39%

40%

25%

23% 20%

13% 0%

0% All Users

Base: 25,060

Chart 6: Highest educational qualification Change from PY 6% 4% 2% 0% -2% -4% -6%

4%

5%

-1% -4%

-3%

Base: 25,060(CY), 20,268(PY)

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Chart 12: Occupational break up Current Year

Unemployed

Employed

80% 62% 60% 38%

40% 20% 0%

All Users

Base: 25,060

Chart 7: Occupational break up Change from PY 2%

1%

1% 0% -1% -2%

-1%

Base: 25,060(CY), 20,268(PY)

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Chart 13: Function / field of occupation Current Year

MARCOM

IT/SW

Finance

Others 54%

60%

40%

20%

19%

18% 10%

0% All Users

Base: 15,219

Chart 8: Function / field of occupation Change from PY 4% 2%

1%

3%

0% 0%

-2% -4%

-3%

Base: 15,219(CY), 18,009(PY)

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Chart 14: Head of the household Current Year

Head of the household

Not head of the household

60%

53% 47%

40%

20%

0% All Users

Base: 25,060

Chart 9: Head of the household Change from PY 30% 20% 10% 0% -10% -20% -30%

23%

-23%

Base: 25,060(CY), 20,268(PY)

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Economic Profile Chart 15: Monthly family income Current Year 40%

Upto Rs. 10K 38%

10-30k

30-50k

Above 50K

39%

20% 10%

13%

0% All Users

Base: 21,343

Chart 10: Monthly family income Change from PY 10%

5%

5%

4%

5%

0% -5% -10% -15%

-13%

Base: 21,343(CY), 20,268(PY)

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Chart 16: Most expensive vehicle owned by the household Current Year 60%

2 Wheeler

4 Wheeler

Others

Don't own a vehicle

44% 40%

28% 19%

20%

9%

0% All Users

Base: 25,060

Chart 11: Most expensive vehicle owned by the household Change from PY 10% 5%

5%

5%

0.4%

0% -5% -10% -15%

-10%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Chart 17: Ownership of credit cards (individually) Current Year

Don't own a credit card

80%

Own a Credit Card

67%

60% 34%

40% 20% 0% All Users

Base: 25,060

Chart 12: Ownership of credit cards (individually) Change from PY 7%

10% 5% 0% -5% -10%

-7%

Base: 25,060(CY), 20,268(PY)

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Table 14: Household asset ownership Assets

Current Year

Change from PY

Color TV

92%

3%

Mobile Phone

90%

5%

Bank Account*

82%

82%

Fridge

75%

4%

Cable TV connection/DTH

72%

-5%

Computer/Laptop

67%

18%

Camera*

64%

64%

Landline Phone

62%

-2%

Life insurance

61%

1%

Home

58%

-10%

Washing Machine

57%

2%

Music System/DVD/MP3*

55%

55%

Debit Card

52%

7%

Credit card

35%

8%

Fixed Deposits*

34%

34%

Medical Insurance/CGHS

33%

3%

Air Conditioner

25%

5%

Microwave

24%

5%

Mutual Funds

22%

-1%

Demat account*

21%

21%

Share of companies*

20%

20%

Video Camera*

20%

20%

IPod*

10%

10%

7%

-20%

Chit Fund Deposits

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Chart 18: Current loan liabilities Current Year

Home loan

Business loan

Two - wheeler loan

80%

Personal loan

Car loan

Education loan

Consumer Durables

Other

None of Above

60%

45%

40% 20% 20%

13%

12%

9%

4%

3%

9% 0.1%

0% All Users

Base: 25,060

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Net Usage Status Chart 19: Years of experience in using internet Up to 1 year

Current Year

1-2 years

More than 2 years

80% 63% 60% 40% 20% 20%

16%

0% All Users

Base: 25,060

Chart 13: Years of experience in using internet Change from PY 2%

1%

1%

0.3%

0% -1% -2%

-2%

Base: 25,060(CY), 20,268(PY)

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India Online 2007

Chart 20: Place of accessing internet Current Year

Place of work

Home

Cyber cafe

In transit

100% 80%

78% 59%

60%

47%

40% 20%

6%

0% All Users

Base: 25,060

Chart 14: Place of accessing internet Change from PY 19%

20% 10%

16%

1%

0% -10%

-6%

Base: 25,060(CY), 20,268(PY)

49

Main Report

Chart 21: Type of internet connection at home Current Year

Regular Dial Up

80%

Broadband

Others

Don't Know

68%

60% 40% 16%

20%

10%

7%

0% All Users

Base: 14,856

Chart 15: Type of internet connection at home Change from PY 16%

20% 10% 0%

-2%

-10% -20%

-3%

-11%

Base: 14,856(CY), 13,221(PY)

50

India Online 2007

Chart 22: Type of internet connection at office Regular Dial Up

Current Year

Broadband

Others

Don't Know

100% 80%

61%

60% 40% 20%

13%

7%

19%

0% All Users

Base: 14,856

Chart 16: Type of internet connection at office Change from PY 3%

5%

4%

0% -1% -5%

-6%

-10%

Base: 14,856(CY), 13,221(PY)

51

Main Report

Chart 23: Service provider subscribed to at home BSNL/Sancharnet VSNL / Tata Sify MTNL Others

Current Year 40%

35%

Airtel/Bharti Local Cable Operator Reliance Spectranet Don't Know

17%

20%

10%

8%

6%

6%

7%

5%

5%

0% 0% All Users

Base: 14,856

Chart 17: Service provider subscribed to at home Change from PY 10%

7%

7%

5% 0%

0%

0% -5%

-3%

-2%

-3%

-3%

-1%

-3%

Base: 14,856(CY), 13,554(PY)

52

India Online 2007

Chart 24: Service provider subscribed to at office BSNL/Sancharnet VSNL / Tata Sify Local Cable Operator Others

Current Year 40% 28%

Airtel/Bharti Reliance MTNL Spectranet Don't Know 19%

20%

15% 11% 6%

5%

5%

8%

4% 0.3%

0% All Users

Base: 19,740

Chart 18: Service provider subscribed to at office Change from PY 8%

10% 5%

2%

6%

3% -0.2%

0% -2%

-5% -10%

-7%

-0.4%

-1% -8%

Base: 19,740(CY), 14,721(PY)

53

Main Report

Net Usage Dynamics Chart 25: Frequency of accessing internet from home d

Current Year 100%

At least once daily Less than once a week

Weekly, but not daily

84%

80% 60% 40% 14%

20%

2%

0% All Users

Base: 14,231

Chart 19: Frequency of accessing internet from home Change from PY 10%

9%

5% 0% -1%

-5% -10%

-8%

Base: 14,231(CY), 13,649(PY)

54

India Online 2007

Chart 26: Frequency of accessing internet from office Current Year 100%

At least once daily Less than once a week

Weekly, but not daily

86%

80% 60% 40% 11%

20%

3%

0% All Users

Base: 17,617

Chart 20: Frequency of accessing internet from office Change from PY 2%

2% 1% 0%

-0.1%

-1% -2%

-2%

Base: 17,617(CY), 14,274(PY)

55

Main Report

Chart 27: Time of the day accessing internet from home Current Year

Midnight to 9.00 AM 6.00 PM - 12.00 Midnight

60%

9.00 AM-6.00 PM Throughout the Day 54%

40% 20% 20%

18%

9%

0% All Users

Base: 13,905

Chart 21: Time of the day accessing internet from home Change from PY 5%

2%

2%

4%

0% -5% -10%

-7%

Base: 13,905(CY), 13,345(PY)

56

India Online 2007

Chart 28: Time of the day accessing internet from office Current Year 100%

Midnight to 9.00 AM 6.00 PM - 12.00 Midnight

9.00 AM-6.00 PM Throughout the Day

80% 55%

60% 40%

29%

20%

12%

4%

0% All Users Base: 17,680

Chart 22: Time of the day accessing internet from office Change from PY 3%

4% 2%

0%

0% -2%

-0.4%

-4%

-3%

Base: 17,680(CY), 14,305(PY)

57

Main Report

Chart 29: Duration of PC usage from home Current Year

Light users

Medium users

Heavy users

100% 80%

67%

60% 40% 22% 12%

20% 0% All Users Base: 15,214

Chart 23: Duration of pc usage from home Change from PY 2%

2% 1%

1% 0% -1% -2% -3%

-2%

Base: 15,214(CY), 15,041(PY)

58

India Online 2007

Chart 30: Duration of internet usage from home Current Year

Light users

Medium users

Heavy users

100% 80% 60%

43%

40%

35% 22%

20% 0% All Users Base: 14,015

Chart 24: Duration of internet usage from home Change from PY 5%

6% 4% 2% 0% -2% -4%

-2% -3%

Base: 14,015(CY), 13,248(PY)

59

Main Report

Chart 31: Duration of PC usage vis-à-vis internet usage from home Current Year

PC Use

Internet Use

100% 80%

67%

60% 35% 40%

22%

43% 20% 0% Light users

22%

12%

M edium users

Heavy users

Base: 15,214(PC), 14,015(Int.)

60

India Online 2007

Chart 32: Duration of PC usage from office Current Year

Light users

Medium users

Heavy users

100% 80% 60% 40%

47% 31%

22%

20% 0% All Users Base: 18,200

Chart 25: Duration of pc usage from office Change from PY 4%

2%

2%

1%

0% -2% -4%

-3%

Base: 18,200(CY), 14,961(PY)

61

Main Report

Chart 33: Duration of internet usage from office Current Year

Light users

Medium users

Heavy users

100% 80% 60%

45%

40%

26%

29%

20% 0% All Users Base: 17,100

Chart 26: Duration of internet usage from office Change from PY 3% 2% 1% 0% -1% -2% -3% -4%

2% 1%

-3%

Base: 17,100(CY), 13,934(PY)

62

India Online 2007

Chart 34: Duration of PC use vis-à-vis internet usage from office PC Use

Current Year

Internet Use

100% 80% 60%

45% 26%

40% 20%

47%

29%

31% 22%

0% Light users

M edium users

Heavy users

Base: 18,200(PC), 17,100(Int.)

63

Main Report

Chart 35: Duration of internet usage during weekdays vis-à-vis weekends Current Year

Weekdays

Weekends 34%

40%

24%

30%

20%

31%

20% 10%

24% 10%

17%

8% 0% Less than 30

30 to 60

M inutes

M inutes

1-2 Hours

2-5 Hours

9%

9%

7%

7%

5-8 Hours

M ore than 8 Hours

Base: 15,214

64

India Online 2007

Chart 36: Time spent by internet users on watching TV Current Year

Light users

Medium users

Heavy users

100% 80% 60%

44%

43%

40% 13%

20% 0% All Users

Base: 21,962

Chart 27: Time spent by internet users on watching TV Change from PY 6%

5%

4% 2% 0% -2% -4%

-2%

-3%

Base: 21,962(CY), 18,555(PY)

65

Main Report

Chart 37: Time spent by internet users on reading newspaper Current Year

Light users

Medium users

Heavy users

100% 80% 60%

46%

41%

40% 14%

20% 0% All Users

Base: 22,501

Chart 28: Time spent by internet users on reading newspaper Change from PY 40%

32%

20%

15%

0% -20% -40% -60%

-47%

Base: 22,501(CY), 18,555(PY)

66

India Online 2007

Chart 38: Time spent by internet users on listening to radio Current Year

Light users

Medium users

Heavy users

100% 72%

80% 60% 40%

19%

20%

10%

0% All Users

Base: 14,785

Chart 29: Time spent by internet users on listening to radio Change from PY 8%

10%

4%

5% 0% -5% -10% -15%

-12%

Base: 14,785(CY), 19,016(PY)

67

Main Report

Preferred Net Activities Table 15: Popularity of various internet activities Popularity of various internet activities

All Users

All Users

Emailing

95%

1%

Job Search

73%

20%

Instant messaging

62%

25%

Check news

61%

8%

Music

60%

12%

Chatting

59%

10%

E-greetings

58%

1%

Check Sports

57%

22%

Online games

54%

20%

Dating/Friendship

51%

25%

Mobile contents (ring tones/games etc.)

50%

22%

Search work related info

49%

-1%

Matrimonial search

48%

33%

Educational / Learning material

48%

-4%

Screensavers/wallpapers

46%

-2%

Check financial info

46%

30%

Astrology

46%

12%

Search for product information

45%

9%

Social networking / Communities*

44%

44%

Buy travel products

43%

15%

Share pictures

40%

7%

Check real estate info

37%

26%

Check hobby related info

32%

21%

Net banking

31%

7%

Check business/Financial news*

30%

30%

Check health & lifestyle info

30%

-2%

Movies*

29%

29%

Check cinema content

28%

3%

Check / read blogs*

27%

27%

Business/professional networking

26%

12%

Check personal travel related info

26%

9%

Buy non-travel products*

25%

25%

Look for Seminar/workshops

24%

5%

Online bill payment

23%

9%

68

India Online 2007

Check business travel related info*

19%

19%

Adult content

18%

7%

Online stock trading

13%

0%

Net telephony

13%

3%

Comment on blog post*

12%

12%

Local language webiste usage

12%

-30%

7%

7%

Have a blog site of own*

Base: 14,253(CY), 20,268(PY)

69

Main Report

Chart 39: Professional activities Emailing - work related Instant messaging Check business/Financial news Look for Seminar/workshops None of the Above

Current Year

100% 80%

83%

73%

Job Search Search work related info Business/prof. networking Check business travel info.

62% 49%

60%

` 30%*

40%

26%*

24%

19%

20%

3%

0% All Users

Base: 14,253

Chart 30: Professional activities Change from PY 40% 30% 20% 10% 0% -10%

20%

30%*

25% -1%

-3%

26%* 5%

5%

-3%

Base: 14,253(CY), 17,275(PY)

70

India Online 2007

Chart 40: Personal activities Emailing - personal Chatting Dating/Friendship Astrology Social networking/communities Check hobby related info Check cinema content None of the above

Current Year

100%

89%

80%

61% 59% 57%

60%

Check news Check Sports M atrimonial search Search for product information Share pictures Check health & lifestyle info Check personal travel info.

51% 48% 46% 45% 44%* 40%

40%

32% 30% 28% 26%

20%

1%

0% All Users

Base: 14,253

Chart 31: Personal activities Change from PY 60% 40% 20%

22% 25% 1%

8% 10%

44%*

33% 12% 9%

21% 7%

3%

9%

0% -20%

-2%

-1%

Base: 14,253(CY), 17,277(PY)

71

Main Report

Chart 41: Downloading activities

80%

M usic M obile contents (ring tones/games) Screensavers/wallpapers Adult content

60%

60%

54%

50%

48%

Online games Educational / Learning material M ovies None of the above

46%

40%

29%* 18%

20%

13%

0% All Users

Current Year

Base: 14,253

Chart 32: Downloading activities Change from PY 40% 30% 20% 10%

20%

29%*

22%

7%

12%

0% -10%

-4%

-2%

-2%

Base: 14,253(CY), 17,271(PY)

72

India Online 2007

Chart 42: E-commerce related activities E-greetings Check real estate info Book train tickets Book air tickets Online stock trading Book hotels

Current Year

60%

58%

Check financial info Net banking Buy non-travel products Online bill payment Net telephony None of these

46% 37%

40%

31%

29%

25%*

23%

23%

20%

13%

13%

8%

13%

0% All Users

Base: 14,043

Chart 33: E-commerce related activities Change from PY 40% 30% 20% 10% 0% -10% -20%

30%

1%

27%

25%* 7%

7%

10%

9% 0%

3%

1%

-11%

Base: 14,043(CY), 17,263(PY)

73

Main Report

Chart 43: Online shopping Current Year

Buyers

Non-Buyers

100% 80% 60%

57% 43%

40% 20% 0%

All Users

Base: 14,253

Chart 34: Online shopping Change from PY 20%

15%

10% 0% -10% -20%

-15%

Base: 14,253(CY), 20,268(PY)

74

India Online 2007

Chart 44: Blogging activities Current Year

Check / read blogs Have a blog site of own

Comment on blog post None of the above

100% 70%

80% 60% 40% 20%

27% 12%

7%

0% All Users

Base: 14,253

75

Main Report

Chart 45: Member of an online community Current Year

Not a member of any online community Member of an online community

100% 80% 59% 60%

41%

40% 20% 0% All Users

Base: 14,253

76

India Online 2007

Table 16: Membership by type of online community Type Of Community

Current Year

Alumni & Schools

7%

Computers & Internet

5%

Romance & Relationships

5%

Business / Professional community

3%

Music

3%

Schools & Education

3%

Games

2%

Individuals

2%

Arts & Entertainment

2%

Cultures & Community

2%

Company

1%

Religion & Beliefs

0.9%

Travel

0.8%

Health, Wellness & Fitness

0.8%

Science & History

0.7%

Automotive

0.5%

Family & Home

0.5%

Countries & Regional

0.4%

Fashion & Beauty

0.4%

Hobbies & Crafts

0.4%

Recreation & Sports

0.3%

Gay, Lesbian & Bi

0.2%

Government & Politics

0.2%

Pets & Animals

0.2%

Cities & Neighborhoods

0.2%

Food, Drink & Wine

0.1%

Base: 14,253

77

Main Report

Table 17: Most used local language websites (other than English) Website

Current Year

Tamil

19%

Malayalam

19%

Hindi

15%

Telugu

13%

Marathi

12%

Kannada

6%

Bengali

6%

Gujarati

3%

Konkani

1%

Oriya

0.8%

Base: 1,388

78

India Online 2007

Table 18: Online activities desired in other languages Activity

Current Year

Email

61%

Chatting

46%

Entertainment

45%

Search information

33%

Online news

31%

Online learning / education

31%

Astrology

23%

Online shopping

18%

Travel related information

16%

Matrimony

13%

Blog

12%

Not Interested

21%

Base: 14,253

79

Main Report

Chart 46: Problems faced while surfing the internet Current Year 80% 60% 40%

62%

Slow website opening Spam / junk mails Difficult to connect Cumbersome navigation Never faced any problem 49%

49%

Virus / spyware Unsolicited ads/pop-ups Lack of response to queries Lack of local language content Others

45% 35% 27% 12%

20%

9%

8%

2%

0% All Users

Base: 14,252

80

India Online 2007

Table 19: Preferred websites - emailing Website

Current Year

Change from PY

Yahoo

53%

16%

Gmail

20%

8%

Rediff

18%

-6%

Hotmail

6%

-6%

Sify

1%

-3%

Indiatimes

0.9%

-9%

VSNL

0.5%

-0.5%

AoL

0.1%

0.1%

Others

0.9%

-2%

Base: 14,220,(CY), 20,268(PY)

81

Main Report

Chart 47: Multiple user shares of email websites Current Year 100%

89%

Yahoo Hotmail VSNL

Gmail Indiatimes AoL

Rediff Sify Any Other

80% 59% 60%

57% 36%

40%

17%

20%

13%

13%

4%

3%

0% All Users

Base: 14,220

Chart 35: Multiple user shares of email websites Change from PY 25%

30% 20% 10%

5%

0.5%

0%

1%

3%

6%

0% -10% -20%

-6%

-15%

Base: 14,220(CY), 20,268(PY)

82

India Online 2007

Chart 48: Number of email accounts and average per capita email ids 1 email id 3 email ids 5 or more email ids

Current Year 40%

28%

20%

2 email ids 4 email ids

27% 17%

15%

14%

0% All Users

Base: 25,060

Chart 36: Number of email accounts and average per capita email ids Change from PY 10%

3%

5%

5%

4%

0% -10% -20%

-19%

Base: 25,060(CY), 20,268(PY)

83

Main Report

Most Used Websites Table 20: Top of mind unaided recall - all websites Website

Current Year

Change from PY

Yahoo

30%

-5%

Google

27%

7%

Rediff

12%

-3%

Orkut

5%

4%

Gmail

3%

3%

Hotmail

2%

-3%

Indiatimes

1%

-4%

Contest2win

1%

1%

MSN

1%

-3%

Naukri

1%

0%

Base: 24,433(CY), 20,173(PY)

84

India Online 2007

Table 21: Most used website - all websites Website

Current Year

Google

29%

Yahoo

27%

Rediff

11%

Orkut

8%

Gmail

4%

Hotmail

2%

Indiatimes

1%

Wikipedia

1%

Moneycontrol

1%

Naukri

1%

Base: 14,075

85

Main Report

Table 22: Info search (English) Website

Current Year

Google

75%

Yahoo

10%

English

3%

Rediff

2%

Wikipedia

1%

Dictionary

1%

MSN

1%

Indiatimes

0.5%

BBC

0.5%

Sify

0.4%

Base: 7,874

86

India Online 2007

Table 23: Info search (local language) Website Google

Current Year 74%

Manoramaonline

2%

Guruji

2%

Webduniya

1%

Kerala

1%

Khoj

1%

Eenadu

1%

Webulagam

0.8%

MSN

0.8%

Chennaionline

0.6%

Base: 3,853

87

Main Report

Table 24: Job search Website

Current Year

Change from PY

Naukri

37%

-13%

Monster

27%

8%

Timesjobs

14%

7%

Google

5%

3%

Yahoo

3%

0.3%

Rediff

2%

-2%

Freshersworld

2%

0.3%

Indiatimes

1%

-0.3%

Jobs

1%

0.3%

Jobsahead

1%

-4.0%

Base: 10,387(CY), 12,610(PY)

88

India Online 2007

Table 25: Booking travel tickets Website

Current Year

Change from PY

Makemytrip

17%

7%

Yatra*

16%

16%

IRCTC

15%

-23%

Google

11%

6%

Yahoo

8%

0.8%

Rediff

5%

-2%

Indiatimes

3%

-3%

Travel

3%

1%

Travelguru*

2%

2%

Cleartrip*

2%

2%

Base: 7,089(CY), 8,053(PY)

89

Main Report

Table 26: Online shopping (other than travel tickets) Website

Current Year

Change from PY

Ebay

34%

-4%

Rediff

25%

-4%

Google

8%

5%

Yahoo

7%

-0.5%

Indiatimes

7%

-4%

Futurebazaar

6%

6%

Shopping

2%

0.6%

Sify

2%

0.4%

Indiaplaza

1%

-0.1%

Onlineshopping

1%

0.6%

Base: 7,261(CY), 8,963(PY)

90

India Online 2007

Table 27: Online news Website

Current Year

Change from PY

Yahoo

14%

4%

NDTV

12%

-0.7%

Rediff

10%

-2%

Google

9%

3%

Indiatimes

7%

-8%

Aajtak

5%

1%

BBC

5%

2%

Timesofindia

3%

-2%

CNN

3%

2%

MSN

3%

-3%

Base: 8,509(CY), 12,120(PY)

91

Main Report

Table 28: Financial news & info (rate, quote & etc.) Website

Current Year

Change from PY

Google

13%

0.7%

Moneycontrol/CNBC

13%

3%

Yahoo

12%

1%

ICICI Direct/ICICI Bank

7%

-3%

Rediff

6%

-2%

Sharekhan

4%

-0.8%

Indiatimes*

4%

4%

NDTV/NDTVprofit*

4%

4%

Economictimes

3%

0.8%

Stockmarket*

2%

2%

Base: 6,207(CY), 7,146(PY)

92

India Online 2007

Table 29: Online share trading Website

Current Year

ICICI Direct

36%

Sherkhan

22%

Indiabulls

7%

Kotaksecurities

4%

Religare

4%

5Paisa

3%

BSE

3%

NSE

3%

Geojit

2%

hdfcsec

2%

Base: 1,558

93

Main Report

Table 30: Real estate info Website

Current Year

Google

17%

Magicbricks

14%

Yahoo

14%

99acres

10%

Realestates

10%

Rediff

7%

Indiaproperty

5%

Property

3%

Indiatimes

2%

Sify

1%

Base: 5,129

94

India Online 2007

Table 31: Matrimonial search Website

Current Year

Change from PY

Bharatmatrimony

29%

-4%

Shaadi

28%

-5%

Google

6%

5%

Jeevansaathi

6%

-11%

Yahoo

5%

2%

Matrimony

5%

5%

Rediff

3%

0%

Tamilmatrimony*

3%

3%

Simplymarry

3%

3%

Matrimonial

2%

-2%

Base: 6,675(CY), 7,728(PY)

* Full listing of websites in Matrimony report

95

Main Report

Table 32: Dating/friendship search Website

Current Year

Change from PY

Orkut

36%

32%

Yahoo

23%

-12%

Google

8%

3%

Rediff

7%

-4%

Fropper

3%

-3%

Date

2%

-1%

Indiatimes

2%

-5%

Hi5

2%

-2%

Friendfinder

2%

-2%

Adultfriendfinder

2%

-0.9%

Base: 7,084(CY), 6,974(PY)

96

India Online 2007

Table 33: Social networking/communities Website

Current Year

Orkut

64%

Yahoo

16%

MSN

1%

Friends

1%

Communities

1%

Hi5

0.9%

Myspace

0.6%

Tagged

0.4%

Fropper

0.4%

Bharatstudent

0.4%

Base: 5,227

97

Main Report

Table 34: Online gaming Website

Current Year

Change from PY

Yahoo

18%

-13%

Zapak

17%

17%

Google

9%

-0.30%

Games

7%

-0.80%

Miniclip

4%

0.30%

Rediff

3%

-3%

Indiagames

3%

3%

Contest2Win

3%

2%

MSN

2%

-1%

Onlinegames

2%

0.90%

Base: 7,383(CY), 7,395(PY)

98

India Online 2007

Table 35: Download mobile content Website

Current Year

Change from PY

Yahoo

14%

-8%

Rediff

12%

-10%

Google

10%

0.40%

Nokia

9%

5%

Indiatimes

7%

-7%

Mobile9

4%

4%

Hutch

3%

2%

Ringtones

3%

0.30%

Funmaza

3%

1%

Airtel

3%

0.30%

Base: 6,912(CY), 6,887(PY)

99

Main Report

Table 36: Download music Website

Current Year

Change from PY

Raaga

22%

5%

Yahoo

10%

-4%

Google

7%

0.20%

Cooltoad

5%

-2%

Musicindiaonline

4%

-0.20%

Music

4%

1%

Mp3

3%

-0.60%

Rediff

3%

-4%

Youtube

2%

2%

Tamilsongs

2%

1%

Base: 8,142(CY), 8,526(PY)

100

India Online 2007

Table 37: Sports content Website

Current Year

Change from PY

Espnstarsports

29%

5%

Cricinfo

14%

5%

Yahoo

12%

-0.60%

Google

8%

2%

Rediff

8%

-4%

Sports

4%

1%

Indiatimes

3%

-3%

Cricketnext

2%

-0.60%

NDTV

2%

-1%

Tensports

2%

-2%

Base: 7,666(CY), 8,931(PY)

101

Main Report

Table 38: Cinema content Website

Current Year

Change from PY

Yahoo

11%

-2%

Google

9%

2%

Bollywood

5%

0.70%

PVR Cinemas

5%

0.50%

Indiafm

5%

-1%

Rediff

5%

-5%

Cinema

4%

-0.20%

Santabanta

3%

0.30%

Indiatimes

3%

-3%

Movies

3%

2%

Base: 6,883(CY), 6,700(PY)

102

India Online 2007

Table 39: Most used local language websites (other than English) Website

Current Year

Google

12%

Yahoo

8%

Malayalamanorama

7%

Eeandu

7%

Thinamalar

5%

Webduniya

4%

Marathiworld

4%

Webulagam

4%

Tamilcinema

4%

Keralakaumudi

3%

Base: 1,388

103

Main Report

Table 40: Preferred blog sites Website

Current Year

Google

21%

Yahoo

18%

Blogger

11%

Blogspot

11%

Rediff

10%

Ibibo

10%

Tagged

2%

Debonairblog

2%

Hi5

2%

Indiatimes

2%

Base: 1,853

104

India Online 2007

Most Used Offline Media Brands Table 41: Favorite TV channels Website

Current Year

Change from PY

Star Plus

13%

3%

Discovery

7%

0.30%

NDTV

5%

0.60%

Aajtak

5%

-0.70%

Sun TV

5%

0.80%

HBO

4%

0.10%

Sony

4%

-1%

Star Movies

3%

0.70%

Zee TV

3%

-0.20%

M TV

3%

0.60%

Base: 12,631(CY), 15,321(PY)

105

Main Report

Table 42: Favorite newspapers Website

Current Year

Change from PY

The Times of India

35%

0.00%

The Hindu

18%

5%

The Hindustan Times

6%

-2%

Deccan Chronicle

4%

3%

Eenadu

3%

0.30%

Indian Express

3%

-0.40%

The Telegraph

3%

0.50%

Dainik Bhaskar

2%

-0.50%

The Economic Times

2%

0.40%

Dainik Jagran

2%

-2%

Base: 12,762(CY), 14,555(PY)

106

India Online 2007

Table 43: Favorite magazines Website

Current Year

Change from PY

23%

-6%

Reader's Digest

7%

-1%

The Week

5%

1%

Sports Star

4%

1%

Femina

4%

-0.8%

Outlook

4%

-2%

Digit

3%

0.5%

Film Fare

3%

1%

Women's Era

2%

0.5%

Business World

2%

0.6%

India Today

Base: 10,515(CY), 12,980(PY)

107

Main Report

Table 44: Favorite radio channels Website

Current Year

Change from PY

Radio Mirchi

38%

12%

Red FM

12%

3%

AIR

11%

-3%

Radio City

11%

-1%

Suryan FM

6%

3%

Big FM

5%

5%

AIR FM GOLD

5%

-24%

AIR FM RAINBOW

4%

2%

Fever FM

3%

3%

World Space

2%

0.9%

Base: 8,205(CY), 12,246(PY)

108

India Online 2007

Response to Online Marketing Stimuli Chart 49: Response to online marketing stimulus Clicked a sponsored search ad Clicked a product/service e-mailer Bid/Bought in an Online auction None of the above

60%

47% 40%

Clicked a banner ad Participated in an online contest Bought in a special promotion / deal 43%

37% 23%

27% 21%

14%

20%

0% All Users

Current Year

Base: 10,888

Chart 37: Response to Online Marketing Stimulus Change from PY 20%

13% 8%

10% 0%

11% 0%

2%

-10% -20%

-10%

-12%

Base: 10,888(CY), 15,715(PY)

109

Main Report

Offline Brands Recalled Table 45: Tom recall for brands Website

Current Year

Change from PY

Sony

8%

3%

Nokia

7%

1%

Tata

5%

-2%

LG

4%

0%

Colgate

3%

1%

Reliance

3%

0%

HLL

3%

1%

Nike

3%

0%

Samsung

2%

0%

Pepsi

2%

-1%

Base: 24,288(CY), 20,142(PY)

110

Segment Wise Detailed Tables

111

Table 1: Gender breakup Gender Breakup

Male

Female

All Users

20,464

4,596

25,060

Male

100%

0.0%

82%

Female

0.0%

100%

18%

100%

100%

100%

13-18 years

11%

11%

11%

19-24 years

30%

36%

31%

25-35 years

35%

37%

36%

35-45 years

14%

11%

13%

Above 45 years

10%

6%

9%

100%

100%

100%

SEC A

24%

27%

24%

SEC B

32%

34%

32%

SEC C

23%

23%

23%

SEC D

15%

11%

14%

SEC E

7%

6%

7%

100%

100%

100%

North

22%

23%

22%

East

13%

9%

12%

South

39%

43%

40%

West

26%

26%

26%

100%

100%

100%

Home

58%

61%

59%

Place of work (office / school / college)

79%

75%

78%

Cyber café

48%

39%

47%

7%

4%

6%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

112

Table 2: Age group distribution Age 13-18 years

Age 19-24 years

Age 25-35 years

Age 36-45 years

Age 46-55 years

Above Age 55 years

All Users

2,615

7,833

9,086

3,281

1,622

623

25,060

Male

81%

80%

82%

85%

87%

94%

82%

Female

19%

21%

19%

15%

13%

6%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

100%

0.0%

0.0%

0.0%

0.0%

0.0%

11%

19-24 years

0.0%

100%

0.0%

0.0%

0.0%

0.0%

31%

25-35 years

0.0%

0.0%

100%

0.0%

0.0%

0.0%

36%

35-45 years

0.0%

0.0%

0.0%

100%

0.0%

0.0%

13%

Above 45 years

0.0%

0.0%

0.0%

0.0%

100%

100%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

3%

17%

30%

34%

39%

45%

24%

SEC B

24%

30%

34%

36%

35%

35%

32%

SEC C

22%

27%

23%

18%

17%

12%

23%

SEC D

30%

16%

10%

10%

9%

8%

14%

SEC E

22%

9%

3%

2%

1%

0.9%

7%

100%

100%

100%

100%

100%

100%

100%

North

27%

23%

22%

20%

19%

18%

22%

East

14%

10%

13%

15%

15%

12%

12%

South

36%

42%

39%

38%

39%

45%

40%

West

23%

25%

26%

28%

27%

25%

26%

100%

100%

100%

100%

100%

100%

100%

Home

67%

58%

51%

61%

75%

88%

59%

Place of work (office / school / college)

56%

75%

86%

85%

81%

56%

78%

Cyber cafe

50%

54%

49%

35%

27%

25%

47%

5%

4%

7%

8%

8%

10%

6%

Age Group Distribution Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

113

Table 3: City class by population size City Class By Population Size

Up to 1 Lakh

1-5 Lakhs

5-10 Lakhs

Above 10 Lakhs

All Users

4,788

5,316

2,768

12,188

25,060

Male

85%

84%

84%

79%

82%

Female

15%

16%

16%

21%

18%

100%

100%

100%

100%

100%

13-18 years

13%

11%

13%

9%

11%

19-24 years

36%

33%

32%

29%

31%

25-35 years

33%

37%

33%

38%

36%

35-45 years

11%

12%

13%

14%

13%

7%

8%

8%

10%

9%

100%

100%

100%

100%

100%

SEC A

21%

26%

21%

27%

24%

SEC B

33%

34%

30%

33%

32%

SEC C

25%

22%

25%

21%

23%

SEC D

13%

10%

20%

12%

14%

SEC E

9%

8%

5%

8%

7%

100%

100%

100%

100%

100%

North

26%

44%

14%

20%

22%

East

15%

9%

18%

10%

12%

South

27%

29%

52%

38%

40%

West

32%

18%

16%

32%

26%

100%

100%

100%

100%

100%

Home

54%

58%

57%

61%

59%

Place of work (office / school / college)

78%

77%

76%

80%

78%

Cyber café

49%

47%

48%

46%

47%

4%

5%

5%

7%

6%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

114

Table 4: City class by market size City Class By Market Size 6

Metro

Urban uptowns

Emerging Towns

Others

All Users

Sample Base

10,405

2,464

1,504

10,687

25,060

Male

79%

82%

82%

85%

82%

Female

21%

18%

18%

15%

18%

100%

100%

100%

100%

100%

13-18 years

8%

15%

13%

12%

11%

19-24 years

29%

31%

33%

34%

31%

25-35 years

38%

33%

33%

35%

36%

35-45 years

14%

13%

13%

12%

13%

Above 45 years

11%

8%

8%

7%

9%

100%

100%

100%

100%

100%

SEC A

27%

21%

20%

24%

24%

SEC B

31%

38%

31%

32%

32%

SEC C

22%

19%

28%

22%

23%

SEC D

13%

13%

17%

14%

14%

SEC E

7%

9%

4%

8%

7%

100%

100%

100%

100%

100%

North

11%

34%

17%

33%

22%

East

12%

0.3%

6%

22%

12%

South

49%

24%

57%

27%

40%

West

29%

41%

20%

18%

26%

100%

100%

100%

100%

100%

Home

61%

60%

60%

56%

59%

Place of work (office / school / college)

80%

78%

75%

77%

78%

Cyber cafe

46%

45%

48%

49%

47%

7%

5%

5%

5%

6%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

6

Please refer appendix for classification.

115

Table 5: Top 10 cities Top 10 Cities

Delhi

Mumbai

Bangalore

Hyderabad

Chennai

Kolkata

Pune

Ahmadabad

Lucknow

Coimbatore

All Users

Sample Base

2,994

2,464

1,604

1,365

1,055

830

634

405

329

222

25,060

Male

78%

75%

77%

82%

78%

83%

79%

85%

80%

73%

82%

Female

22%

25%

23%

19%

22%

17%

21%

15%

20%

28%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

8%

7%

7%

8%

8%

8%

8%

11%

14%

10%

19-24 years

28%

27%

31%

28%

26%

22%

28%

35%

30%

32%

31%

25-35 years

39%

38%

41%

41%

35%

38%

39%

35%

33%

28%

36%

35-45 years

13%

15%

12%

14%

16%

18%

13%

13%

16%

18%

13%

Above 45

10%

12%

10%

10%

16%

14%

12%

8%

9%

9%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

30%

20%

24%

32%

32%

30%

30%

25%

33%

22%

26%

SEC B

39%

39%

39%

38%

40%

41%

40%

43%

43%

38%

38%

SEC C

15%

18%

19%

17%

16%

15%

13%

16%

12%

18%

17%

SEC D

11%

15%

11%

9%

8%

10%

11%

11%

7%

15%

13%

SEC E

6%

8%

7%

5%

5%

5%

6%

5%

5%

7%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

100%

0.0%

0.0%

0.0%

0.0%

0.0%

0.0%

0.0%

100%

0.0%

29%

East

0.0%

0.0%

0.0%

0.0%

0.0%

100%

0.0%

0.0%

0.0%

0.0%

10%

South

0.0%

0.0%

100%

100%

100%

0.0%

0.0%

0.0%

0.0%

100%

35%

West

0.0%

100%

0.0%

0.0%

0.0%

0.0%

100%

100%

0.0%

0.0%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

66%

62%

54%

62%

67%

66%

54%

65%

64%

55%

59%

Place of work (office / school / college)

83%

80%

85%

77%

79%

78%

83%

79%

80%

81%

79%

Cyber cafe

40%

41%

55%

46%

41%

42%

63%

43%

43%

36%

46%

In transit (while traveling)

8%

8%

8%

6%

9%

8%

7%

6%

5%

4%

6%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

116

Table 6: Region wise break up Region Wise Break Up

North

East

South

West

All Users

Sample Base

7,206

2,582

8,801

6,471

25,060

Male

82%

88%

80%

82%

82%

Female

18%

12%

20%

18%

18%

100%

100%

100%

100%

100%

13-18 years

13%

12%

10%

10%

11%

19-24 years

32%

25%

33%

31%

31%

25-35 years

35%

37%

35%

36%

36%

35-45 years

12%

16%

12%

14%

13%

7%

10%

9%

9%

9%

100%

100%

100%

100%

100%

SEC A

31%

29%

21%

22%

24%

SEC B

31%

29%

30%

38%

32%

SEC C

18%

12%

31%

19%

23%

SEC D

9%

22%

15%

13%

14%

SEC E

11%

8%

4%

8%

7%

100%

100%

100%

100%

100%

North

100%

0.0%

0.0%

0.0%

22%

East

0.0%

100%

0.0%

0.0%

12%

South

0.0%

0.0%

100%

0.0%

40%

West

0.0%

0.0%

0.0%

100%

26%

100%

100%

100%

100%

100%

Home

62%

59%

57%

59%

59%

Place of work (office / school / college)

79%

78%

77%

79%

78%

Cyber café

43%

47%

48%

48%

47%

6%

7%

6%

6%

6%

Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

117

Table 7: Preferred language of reading Preferred Language Of Reading

Assamese

English

Hindi

Telugu

Tamil

Marathi

Bengali

Gujarati

Malayalam

Kannada

Punjabi

All Users

82

10,444

5,211

1,432

1,395

1,260

866

858

816

803

391

25,060

Male

90%

80%

84%

84%

78%

82%

87%

89%

77%

82%

82%

82%

Female

10%

20%

16%

16%

22%

18%

13%

11%

24%

18%

18%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

39%

9%

14%

8%

12%

9%

8%

12%

17%

6%

17%

11%

19-24 years

15%

24%

38%

38%

38%

31%

26%

38%

31%

40%

40%

31%

25-35 years

35%

37%

35%

37%

29%

40%

42%

32%

35%

36%

33%

36%

35-45 years

4%

17%

9%

11%

13%

13%

14%

10%

10%

11%

7%

13%

Above 45 years

7%

13%

4%

6%

10%

8%

10%

8%

7%

6%

4%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

24%

32%

23%

20%

14%

17%

26%

21%

12%

14%

20%

24%

SEC B

22%

34%

32%

29%

27%

36%

33%

39%

26%

32%

29%

32%

SEC C

12%

19%

20%

33%

36%

24%

19%

19%

43%

31%

19%

23%

SEC D

30%

11%

13%

16%

19%

14%

13%

14%

17%

16%

15%

14%

SEC E

12%

5%

11%

3%

4%

9%

10%

7%

3%

7%

18%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

5%

21%

58%

0.6%

1%

0.1%

8%

0.9%

3%

0.9%

89%

22%

84%

11%

10%

2%

0.2%

0.2%

82%

2%

2%

0.2%

1%

12%

South

7%

41%

8%

95%

96%

3%

5%

3%

88%

96%

2%

40%

West

5%

26%

25%

2%

3%

97%

5%

95%

7%

3%

8%

26%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

118

Preferred Language Of Reading

Assamese

English

Hindi

Telugu

Tamil

Marathi

Bengali

Gujarati

Malayalam

Kannada

Punjabi

All Users

82

10,444

5,211

1,432

1,395

1,260

866

858

816

803

391

25,060

Home

46%

66%

57%

50%

50%

48%

64%

57%

61%

43%

64%

59%

Place of work (office / school / college)

88%

80%

77%

76%

78%

80%

74%

77%

70%

81%

71%

78%

Cyber cafe

44%

46%

46%

47%

43%

52%

48%

45%

45%

53%

34%

47%

In transit (while traveling)

18%

9%

4%

2%

4%

3%

5%

4%

5%

4%

4%

6%

Sample Base Point of Access

119

Table 8: Socio economic classification Socio Economic Classification

SEC A

SEC B

SEC C

SEC D

SEC E

All Users

Sample Base

6,429

9,401

4,236

3,200

1,794

25,060

Male

80%

81%

82%

86%

85%

82%

Female

20%

19%

18%

14%

16%

18%

100%

100%

100%

100%

100%

100%

13-18 years

1%

8%

11%

24%

34%

11%

19-24 years

22%

30%

37%

37%

43%

31%

25-35 years

44%

38%

36%

25%

17%

36%

35-45 years

18%

15%

11%

9%

4%

13%

Above 45 years

15%

10%

6%

5%

1%

9%

100%

100%

100%

100%

100%

100%

SEC A

100%

0.0%

0.0%

0.0%

0.0%

24%

SEC B

0.0%

100%

0.0%

0.0%

0.0%

32%

SEC C

0.0%

0.0%

100%

0.0%

0.0%

23%

SEC D

0.0%

0.0%

0.0%

100%

0.0%

14%

SEC E

0.0%

0.0%

0.0%

0.0%

100%

7%

100%

100%

100%

100%

100%

100%

North

29%

22%

18%

15%

36%

22%

East

15%

11%

7%

19%

14%

12%

South

33%

37%

54%

42%

21%

40%

West

23%

30%

21%

24%

29%

26%

100%

100%

100%

100%

100%

100%

Home

72%

60%

51%

52%

49%

59%

Place of work (office / school / college)

86%

78%

78%

70%

69%

78%

Cyber café

44%

47%

48%

50%

49%

47%

In transit (while traveling)

10%

6%

3%

4%

4%

6%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

120

Table 9: Highest educational qualification Highest Educational Qualification

Up to SSC/HSC

College but not Graduate

Graduate & above general stream

Graduate & above professional stream

All Users

3,188

5,590

9,897

6,385

25,060

Male

83%

87%

77%

84%

82%

Female

17%

13%

23%

16%

18%

100%

100%

100%

100%

100%

13-18 years

47%

17%

0.8%

2%

11%

19-24 years

26%

44%

25%

33%

31%

25-35 years

17%

24%

46%

41%

36%

35-45 years

7%

10%

17%

13%

13%

Above 45 years

3%

6%

12%

11%

9%

100%

100%

100%

100%

100%

SEC A

0.0%

0.6%

22%

63%

24%

SEC B

16%

26%

47%

23%

32%

SEC C

20%

25%

29%

13%

23%

SEC D

37%

34%

2%

2%

14%

SEC E

28%

14%

0.0%

0.0%

7%

100%

100%

100%

100%

100%

North

26%

19%

22%

25%

22%

East

15%

13%

11%

13%

12%

South

32%

40%

41%

40%

40%

West

27%

28%

26%

22%

26%

100%

100%

100%

100%

100%

Home

58%

55%

55%

69%

59%

Place of work (office / school / college)

65%

73%

82%

84%

78%

Cyber cafe

46%

50%

44%

48%

47%

4%

5%

5%

9%

6%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while

121

Table 11: Occupational break up Junior level salaried employee

Middle / Senior level salaried employee

Self Employed Professionals

Shop owner/ Traders

Small Businessmen (Up to 35 emp.)

Businessmen (Above 35 emp.)

Unemployed but not student

Student

Retired

Housewife

Others

All Users

4,380

8,165

1,358

692

783

257

538

6,901

300

518

1,168

25,060

Male

79%

86%

85%

95%

93%

93%

76%

82%

95%

4%

80%

82%

Female

21%

14%

15%

5%

7%

7%

24%

18%

5%

96%

20%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

2%

0.6%

2%

2%

0.9%

4%

1%

36%

0.0%

0.4%

3%

11%

19-24 years

38%

13%

12%

17%

13%

20%

42%

59%

0.9%

9%

23%

31%

25-35 years

47%

50%

41%

53%

44%

32%

50%

5%

3%

60%

45%

36%

35-45 years

9%

23%

26%

22%

26%

26%

5%

0.0%

3%

21%

17%

13%

Above 45 years

4%

14%

20%

7%

16%

18%

2%

0.0%

94%

9%

12%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

17%

37%

38%

13%

39%

49%

20%

12%

37%

30%

18%

24%

SEC B

27%

36%

37%

41%

40%

25%

27%

29%

32%

42%

29%

32%

SEC C

36%

20%

9%

17%

10%

9%

31%

22%

21%

14%

23%

23%

SEC D

14%

6%

14%

24%

10%

15%

14%

22%

9%

10%

23%

14%

SEC E

7%

2%

2%

6%

0.5%

2%

9%

15%

1%

4%

7%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

19%

22%

24%

24%

23%

16%

19%

26%

15%

21%

19%

22%

East

12%

12%

13%

13%

14%

22%

11%

13%

8%

7%

15%

12%

South

45%

38%

33%

34%

33%

30%

46%

38%

53%

47%

44%

40%

West

23%

28%

31%

29%

30%

32%

24%

24%

23%

26%

22%

26%

Occupational Break Up

Sample Base Gender

Age Group

Socio Economic Classification

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

122

Junior level salaried employee

Middle / Senior level salaried employee

Self Employed Professionals

Shop owner/ Traders

Small Businessmen (Up to 35 emp.)

Businessmen (Above 35 emp.)

Unemployed but not student

Student

Retired

Housewife

Others

All Users

4,380

8,165

1,358

692

783

257

538

6,901

300

518

1,168

25,060

Home

38%

56%

74%

64%

76%

84%

59%

68%

87%

86%

55%

59%

Place of work (office / school / college)

90%

94%

78%

77%

79%

88%

52%

60%

35%

35%

73%

78%

Cyber cafe

51%

45%

34%

39%

31%

31%

59%

53%

31%

23%

45%

47%

3%

9%

11%

5%

10%

15%

5%

4%

9%

5%

4%

6%

Occupational Break Up

Sample Base Point of Access

In transit (while traveling)

123

Table 12: Function / field of occupation Function / Field Of Occupation

Marketing/Sales

Advertising/PR/Media

Finance

HR

IT/Software

Manufacturing

Administration

Academics

Consultancy

Others

All Users

2,377

494

1,614

383

2,601

1,751

1,542

666

866

2,925

15,219

Male

89%

85%

88%

69%

88%

93%

74%

69%

86%

82%

85%

Female

11%

15%

12%

31%

12%

7%

26%

31%

14%

18%

16%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

0.9%

1%

0.9%

0.9%

1%

0.6%

0.8%

0.7%

1%

2%

1%

19-24 years

20%

23%

17%

26%

32%

17%

14%

9%

15%

22%

21%

25-35 years

49%

44%

47%

44%

56%

48%

47%

48%

40%

46%

48%

35-45 years

19%

20%

20%

19%

9%

25%

22%

27%

23%

20%

19%

Above 45 years

11%

12%

15%

11%

2%

10%

16%

15%

21%

11%

11%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

30%

27%

35%

50%

27%

29%

22%

57%

46%

25%

31%

SEC B

40%

34%

38%

28%

31%

35%

35%

21%

31%

33%

34%

SEC C

19%

20%

20%

13%

28%

20%

33%

15%

14%

25%

23%

SEC D

8%

13%

5%

6%

10%

13%

9%

5%

7%

13%

10%

SEC E

3%

6%

2%

3%

4%

4%

2%

1%

2%

5%

3%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

23%

21%

22%

26%

20%

22%

18%

28%

20%

21%

22%

East

14%

13%

14%

10%

10%

13%

12%

19%

13%

13%

13%

South

36%

36%

35%

41%

48%

34%

45%

34%

36%

38%

39%

West

27%

30%

29%

24%

22%

32%

26%

20%

30%

27%

27%

Sample Base Gender

Age Group

Socio Economic Classification

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

124

Function / Field Of Occupation

Marketing/Sales

Advertising/ PR/ Media

Finance

HR

IT/ Software

Manufacturing

Administration

Academics

Consultancy

Others

All Users

2,377

494

1,614

383

2,601

1,751

1,542

666

866

2,925

15,219

Home

55%

56%

52%

52%

59%

56%

42%

62%

64%

50%

54%

Place of work (office / school / college)

89%

92%

92%

96%

96%

85%

94%

89%

88%

86%

90%

Cyber cafe

50%

41%

39%

47%

50%

44%

41%

41%

39%

44%

45%

In transit (while traveling)

10%

9%

6%

7%

8%

7%

4%

6%

9%

6%

7%

Sample Base Point of Access

125

Table 13: Head of the household Head Of The Household

Head of the household

Not head of the household

All Users

11,599

13,461

25,060

Male

90%

75%

82%

Female

10%

25%

18%

100%

100%

100%

13-18 years

2%

19%

11%

19-24 years

16%

45%

31%

25-35 years

44%

29%

36%

35-45 years

23%

5%

13%

Above 45 years

15%

3%

9%

100%

100%

100%

SEC A

29%

20%

24%

SEC B

34%

31%

32%

SEC C

23%

23%

23%

SEC D

10%

17%

14%

SEC E

4%

10%

7%

100%

100%

100%

North

20%

25%

22%

East

13%

12%

12%

South

42%

38%

40%

West

26%

25%

26%

100%

100%

100%

Home

54%

63%

59%

Place of work (office / school / college)

88%

70%

78%

Cyber café

44%

49%

47%

7%

5%

6%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

126

Table 14: Monthly family income Monthly Family Income

Upto 5K

5k 10K

10k 20K

20k 30K

30k 50K

50k 75K

75k 100K

Above 100K

All Users

Sample Base

2,628

5,060

5,476

3,110

2,262

878

723

1,206

21,343

Male

80%

82%

84%

83%

83%

82%

85%

84%

83%

Female

20%

18%

16%

17%

17%

18%

15%

16%

17%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

15%

7%

7%

6%

5%

7%

10%

9%

8%

19-24 years

46%

36%

26%

20%

17%

21%

26%

22%

29%

25-35 years

32%

41%

41%

40%

38%

40%

38%

33%

39%

35-45 years

6%

11%

17%

19%

21%

15%

17%

16%

15%

Above 45 years

1%

5%

9%

15%

19%

17%

10%

20%

10%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

8%

13%

24%

38%

47%

48%

33%

39%

25%

SEC B

24%

31%

38%

35%

34%

26%

34%

31%

33%

SEC C

31%

29%

23%

19%

11%

16%

20%

17%

23%

SEC D

22%

20%

10%

7%

7%

7%

11%

10%

13%

SEC E

15%

8%

4%

2%

2%

3%

3%

3%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

20%

19%

22%

24%

24%

27%

25%

25%

22%

9%

13%

11%

14%

14%

9%

13%

17%

12%

South

47%

44%

40%

36%

37%

37%

35%

32%

40%

West

24%

25%

26%

27%

26%

28%

27%

25%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

33%

43%

60%

74%

79%

76%

61%

71%

57%

Place of work (office / school / college)

80%

79%

80%

81%

85%

82%

85%

83%

81%

Cyber cafe

48%

49%

48%

46%

38%

40%

47%

44%

46%

2%

3%

5%

7%

11%

15%

10%

12%

6%

Gender

Age Group

Socio Economic

Region North East

Point of Access

In transit (while traveling)

127

Table 15: Most expensive vehicle owned by the household Most Expensive Vehicle Owned By The Household

BiCycle

MotorCycle/ Scooter

Small Car (Up to Rs.4 lakhs)

MidSize Car (Rs.4 to 8 lakhs)

Premium/Luxury car (Above Rs. 8 lakhs)

Others

Don't own a vehicle

All Users

1,860

10,517

4,663

2,110

491

365

5,054

25,060

Male

87%

85%

82%

78%

73%

78%

75%

82%

Female

13%

15%

18%

22%

27%

22%

25%

18%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

24%

9%

11%

15%

22%

17%

9%

11%

19-24 years

45%

32%

22%

21%

29%

41%

38%

31%

25-35 years

24%

40%

33%

32%

23%

26%

36%

36%

35-45 years

5%

13%

18%

16%

12%

9%

11%

13%

Above 45 years

3%

6%

16%

17%

13%

8%

7%

9%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

10%

20%

38%

45%

41%

16%

18%

24%

SEC B

26%

33%

35%

33%

36%

32%

29%

32%

SEC C

29%

26%

15%

11%

7%

18%

27%

23%

SEC D

19%

15%

9%

8%

11%

22%

16%

14%

SEC E

16%

6%

3%

3%

4%

13%

10%

7%

100%

100%

100%

100%

100%

100%

100%

100%

North

19%

20%

31%

30%

29%

20%

17%

22%

East

18%

10%

13%

12%

11%

11%

15%

12%

South

43%

44%

32%

34%

29%

40%

38%

40%

West

21%

25%

24%

24%

32%

30%

30%

26%

100%

100%

100%

100%

100%

100%

100%

100%

Home

39%

53%

81%

91%

88%

59%

42%

59%

Place of work (office / school / college)

77%

78%

76%

79%

82%

79%

80%

78%

Cyber cafe

51%

49%

41%

36%

32%

47%

51%

47%

3%

4%

8%

17%

22%

5%

4%

6%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

128

Table 16: Ownership of credit cards (individually) Ownership Of Credit Cards (Individually)

Single Card

Multiple Cards

No Credit Card

All Users

4,514

4,018

16,528

25,060

Male

83%

85%

81%

82%

Female

17%

15%

19%

18%

100%

100%

100%

100%

13-18 years

5%

4%

15%

11%

19-24 years

19%

12%

39%

31%

25-35 years

44%

39%

33%

36%

35-45 years

20%

24%

9%

13%

Above 45 years

13%

21%

5%

9%

100%

100%

100%

100%

SEC A

34%

40%

18%

24%

SEC B

35%

35%

31%

32%

SEC C

20%

15%

25%

23%

SEC D

8%

8%

17%

14%

SEC E

3%

3%

9%

7%

100%

100%

100%

100%

North

23%

21%

23%

22%

East

11%

12%

13%

12%

South

40%

38%

40%

40%

West

27%

28%

25%

26%

100%

100%

100%

100%

Home

65%

73%

54%

59%

Place of work (office / school / college)

85%

87%

74%

78%

Cyber café

43%

38%

50%

47%

8%

12%

4%

6%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

129

Table 17: Household asset ownership Household Asset Ownership

Color TV

Cable TV connection/ DTH

Fridge

Washing Machine

Air Conditioner

Microwave

Mobile Phone

Landline Phone

Computer/ Laptop

Camera

Video Camera

Bank Account

All Users

Sample Base

23,155

18,144

18,848

14,530

6,440

6,173

22,482

15,645

16,861

16,324

5,050

20,359

25,060

Male

82%

82%

80%

80%

80%

79%

82%

81%

82%

81%

82%

82%

82%

Female

18%

18%

20%

20%

21%

21%

18%

19%

18%

19%

18%

18%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

11%

11%

11%

12%

13%

12%

11%

12%

12%

12%

14%

10%

11%

19-24 years

31%

29%

28%

26%

25%

22%

31%

30%

30%

29%

30%

29%

31%

25-35 years

36%

36%

35%

34%

31%

33%

36%

33%

33%

34%

33%

36%

36%

35-45 years

14%

14%

15%

16%

16%

16%

13%

14%

14%

14%

13%

15%

13%

9%

10%

11%

12%

15%

16%

9%

12%

11%

11%

11%

10%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

25%

27%

28%

30%

38%

37%

26%

29%

29%

29%

34%

26%

24%

SEC B

33%

33%

33%

35%

34%

35%

33%

33%

33%

33%

34%

33%

32%

SEC C

22%

21%

20%

19%

13%

15%

22%

20%

20%

20%

16%

22%

23%

SEC D

14%

13%

13%

12%

10%

9%

14%

13%

12%

12%

10%

13%

14%

SEC E

6%

5%

6%

5%

4%

4%

6%

5%

6%

6%

6%

6%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

22%

22%

24%

27%

30%

27%

23%

22%

24%

24%

25%

22%

22%

East

12%

13%

13%

11%

14%

14%

13%

13%

12%

14%

14%

13%

12%

South

40%

40%

38%

36%

33%

32%

39%

38%

38%

36%

35%

39%

40%

West

26%

25%

26%

26%

24%

26%

25%

26%

26%

26%

26%

26%

26%

Gender

Age Group

Above 45 years

SEC

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

130

Household Asset Ownership

Color TV

Cable TV connection/ DTH

Fridge

Washing Machine

Air Conditioner

Microwave

Mobile Phone

Landline Phone

Computer/ Laptop

Camera

Video Camera

Bank Account

All Users

23,155

18,144

18,848

14,530

6,440

6,173

22,482

15,645

16,861

16,324

5,050

20,359

25,060

Home

61%

66%

67%

73%

85%

84%

62%

72%

88%

69%

85%

63%

59%

Place of work (office / school / college)

78%

78%

77%

77%

78%

78%

78%

76%

73%

78%

81%

79%

78%

Cyber cafe

47%

47%

45%

43%

37%

39%

47%

44%

41%

47%

43%

47%

47%

In transit (while traveling)

6%

7%

7%

8%

12%

12%

6%

7%

8%

8%

14%

7%

6%

Sample Base Point of Access

131

Table 18: Household asset ownership Household Asset Ownership

Demat account

Fixed Deposits

Life insurance

Medical Insurance/CGHS

Share of companies

Mutual Funds

Chit Fund Deposits

Home

IPod

Music System/DVD/MP3

Debit Card

Credit card

All Users

5,243

8,744

15,322

8,377

4,950

5,527

1,583

14,755

2,600

13,971

12,905

8,882

25,060

Male

86%

81%

83%

83%

84%

83%

80%

82%

84%

82%

84%

82%

82%

Female

14%

19%

17%

17%

16%

17%

20%

18%

16%

18%

16%

19%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

7%

12%

9%

10%

10%

10%

17%

13%

15%

12%

7%

9%

11%

19-24 years

19%

28%

26%

24%

21%

20%

30%

33%

38%

29%

27%

20%

31%

25-35 years

37%

31%

37%

36%

31%

36%

32%

31%

28%

35%

40%

38%

36%

35-45 years

18%

16%

17%

17%

18%

18%

12%

13%

9%

14%

15%

19%

13%

Above 45 years

19%

13%

11%

13%

20%

16%

10%

10%

10%

10%

11%

15%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

38%

34%

29%

35%

38%

38%

26%

27%

31%

28%

30%

36%

24%

SEC B

34%

34%

34%

35%

36%

33%

31%

32%

33%

33%

34%

35%

32%

SEC C

15%

17%

21%

18%

14%

17%

24%

21%

17%

20%

20%

17%

23%

SEC D

9%

11%

12%

9%

9%

9%

14%

14%

12%

13%

11%

9%

14%

SEC E

4%

5%

5%

4%

4%

4%

5%

6%

7%

6%

4%

4%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

23%

24%

23%

22%

23%

24%

12%

24%

22%

23%

21%

22%

22%

East

13%

16%

14%

14%

14%

15%

7%

13%

12%

13%

13%

12%

12%

South

32%

32%

37%

36%

33%

32%

66%

35%

38%

37%

41%

39%

40%

West

32%

28%

26%

29%

31%

30%

15%

28%

28%

26%

25%

27%

26%

Sample Base Gender

Age Group

SEC

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

132

Household Asset Ownership

Demat account

Fixed Deposits

Life insurance

Medical Insurance/CGHS

Share of companies

Mutual Funds

Chit Fund Deposits

Home

IPod

Music System/DVD/MP3

Debit Card

Credit card

All Users

5,243

8,744

15,322

8,377

4,950

5,527

1,583

14,755

2,600

13,971

12,905

8,882

25,060

Home

79%

75%

66%

75%

81%

77%

74%

68%

85%

70%

67%

75%

59%

Place of work (office / school / college)

80%

78%

80%

82%

79%

80%

81%

77%

81%

79%

81%

82%

78%

Cyber cafe

40%

46%

46%

44%

40%

42%

47%

46%

43%

46%

49%

42%

47%

In transit (while traveling)

11%

10%

8%

11%

11%

12%

11%

7%

16%

8%

8%

11%

6%

Sample Base Point of Access

133

Table 19: Current loan liabilities Current Loan Liabilities

Home loan

Car loan

Two wheeler loan

Education loan

Business loan

Personal loan

Consumer Durables

Other

None of Above

All Users

Sample Base

11,259

3,125

2,967

2,152

991

4,999

685

45

2,414

25,060

Male

83%

80%

86%

83%

82%

82%

87%

94%

78%

82%

Female

18%

20%

14%

17%

19%

18%

13%

6%

23%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

12%

12%

10%

16%

15%

8%

6%

16%

10%

11%

19-24 years

33%

22%

32%

52%

33%

24%

22%

39%

32%

31%

25-35 years

36%

33%

41%

19%

29%

39%

39%

25%

33%

36%

35-45 years

12%

17%

12%

3%

14%

17%

18%

8%

15%

13%

7%

16%

6%

10%

9%

11%

16%

14%

11%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

23%

40%

19%

26%

29%

26%

32%

20%

18%

24%

SEC B

31%

34%

33%

27%

36%

34%

31%

25%

30%

32%

SEC C

23%

14%

26%

25%

16%

23%

21%

38%

26%

23%

SEC D

15%

9%

16%

13%

13%

12%

13%

13%

16%

14%

SEC E

8%

4%

6%

9%

6%

5%

4%

4%

9%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

24%

30%

16%

20%

24%

17%

18%

5%

26%

22%

East

13%

12%

10%

11%

12%

12%

12%

10%

14%

12%

South

36%

35%

47%

50%

39%

48%

43%

65%

36%

40%

West

27%

24%

27%

19%

26%

24%

28%

21%

24%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

57%

83%

58%

67%

72%

63%

70%

38%

45%

59%

Place of work (office / school / college)

77%

79%

79%

75%

80%

81%

81%

82%

78%

78%

Cyber cafe

48%

38%

50%

53%

43%

46%

47%

50%

46%

47%

In transit (while traveling)

6%

12%

5%

6%

11%

7%

14%

7%

4%

6%

Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

134

Table 20: Years of experience in using internet Years Of Experience In Using Internet

Less Than 6 Months

6 Months to 1 year

12 years

25 years

56 years

6 years and above

All Users

2,464

2,560

3,959

6,539

2,985

6,553

25,060

Male

77%

77%

81%

84%

83%

84%

82%

Female

24%

23%

19%

16%

17%

16%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

22%

18%

15%

10%

6%

5%

11%

19-24 years

41%

42%

37%

34%

28%

19%

31%

25-35 years

26%

26%

28%

34%

43%

47%

36%

35-45 years

8%

11%

11%

13%

13%

17%

13%

Above 45 years

4%

5%

8%

9%

9%

13%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

12%

13%

15%

24%

30%

38%

24%

SEC B

26%

29%

29%

34%

34%

34%

32%

SEC C

28%

27%

28%

23%

21%

16%

23%

SEC D

20%

19%

18%

14%

11%

9%

14%

SEC E

14%

12%

10%

5%

5%

3%

7%

100%

100%

100%

100%

100%

100%

100%

North

24%

22%

23%

23%

22%

21%

22%

East

11%

11%

13%

14%

11%

13%

12%

South

42%

41%

40%

39%

39%

39%

40%

West

23%

25%

24%

25%

28%

27%

26%

100%

100%

100%

100%

100%

100%

100%

Home

58%

55%

54%

58%

59%

65%

59%

Place of work (office / school / college)

63%

71%

72%

79%

85%

87%

78%

Cyber cafe

33%

32%

44%

51%

53%

52%

47%

2%

2%

2%

4%

7%

13%

6%

Sample Base Gender

Age Group

Socio Economic

Region

Point of Access

In transit (while traveling)

135

Table 21: Place of accessing internet Home

Place of work (office / school / college)

Cyber cafe

In transit (while traveling)

All Users

14,856

19,740

11,601

1,522

25,060

Male

81%

83%

85%

89%

82%

Female

19%

17%

15%

11%

18%

100%

100%

100%

100%

100%

13-18 years

13%

8%

12%

9%

11%

19-24 years

31%

30%

36%

21%

31%

25-35 years

31%

39%

37%

42%

36%

35-45 years

14%

14%

10%

17%

13%

Above 45 years

12%

8%

5%

12%

9%

100%

100%

100%

100%

100%

SEC A

30%

27%

23%

42%

24%

SEC B

33%

32%

32%

31%

32%

SEC C

20%

23%

23%

13%

23%

SEC D

12%

13%

15%

10%

14%

SEC E

6%

6%

7%

4%

7%

100%

100%

100%

100%

100%

North

24%

23%

21%

23%

22%

East

12%

12%

12%

14%

12%

South

38%

39%

41%

38%

40%

West

26%

26%

26%

26%

26%

100%

100%

100%

100%

100%

100%

53%

50%

83%

59%

Place of work (office / school / college)

70%

100%

79%

91%

78%

Cyber cafe

40%

47%

100%

63%

47%

8%

7%

8%

100%

6%

Place Of Accessing Internet Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

In transit (while traveling)

136

Table 22: Type of internet connection at home Type Of Internet Connection At Home

Regular Dial Up

Broadband Dial Up

24 Hrs Broadband

Mobile Connection

Wi Fi Connection

Cable

Lease/ Dedicated line

Others

Don't Know

All Users

Sample Base

2,545

3,943

4,569

945

209

1,250

78

236

1,081

14,856

Male

84%

80%

81%

90%

82%

79%

88%

80%

76%

81%

Female

16%

20%

19%

10%

18%

21%

12%

20%

24%

19%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

16%

13%

12%

10%

7%

10%

9%

12%

16%

13%

19-24 years

28%

30%

28%

43%

33%

33%

20%

35%

38%

31%

25-35 years

28%

31%

31%

33%

43%

33%

39%

31%

30%

31%

35-45 years

17%

14%

14%

9%

12%

12%

13%

10%

10%

14%

Above 45

10%

13%

15%

5%

4%

12%

19%

12%

6%

12%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

30%

30%

33%

28%

31%

26%

39%

24%

20%

30%

SEC B

31%

34%

34%

32%

31%

32%

30%

29%

31%

33%

SEC C

21%

19%

17%

19%

14%

25%

24%

20%

25%

20%

SEC D

12%

12%

11%

15%

19%

13%

6%

15%

14%

12%

SEC E

6%

6%

5%

7%

6%

5%

2%

12%

9%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

25%

24%

22%

31%

28%

16%

31%

27%

25%

24%

East

14%

13%

11%

15%

16%

13%

5%

5%

12%

12%

South

33%

39%

43%

27%

35%

43%

25%

37%

36%

38%

West

28%

23%

25%

27%

22%

28%

39%

31%

27%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Place of work (office / school / college)

72%

70%

70%

73%

87%

67%

76%

76%

67%

70%

Cyber cafe

41%

37%

35%

47%

33%

41%

43%

46%

63%

40%

In transit (while traveling)

7%

7%

9%

17%

23%

8%

8%

9%

4%

8%

Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

137

Table 23: Type of internet connection at office Type Of Internet Connection At Office

Regular Dial Up

Broadband Dial Up

24 Hrs Broadband

Mobile Connection

Wi Fi Connection

Cable

Lease/ Dedicated line

Others

Don't Know

All Users

Sample Base

1,506

4,816

5,971

417

501

1,180

1,242

416

3,691

19,740

Male

83%

83%

84%

94%

84%

87%

90%

79%

77%

83%

Female

17%

18%

16%

6%

16%

13%

10%

22%

23%

17%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

9%

7%

7%

9%

9%

8%

0.9%

9%

12%

8%

19-24 years

29%

27%

27%

31%

43%

33%

18%

32%

42%

30%

25-35 years

35%

41%

41%

45%

35%

39%

49%

34%

32%

39%

35-45 years

17%

16%

16%

9%

9%

14%

18%

13%

8%

14%

Above 45

11%

8%

9%

5%

4%

7%

14%

12%

5%

8%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

25%

26%

30%

22%

36%

21%

40%

21%

21%

27%

SEC B

32%

34%

33%

33%

32%

32%

28%

35%

30%

32%

SEC C

24%

23%

21%

20%

13%

26%

22%

20%

26%

23%

SEC D

11%

12%

11%

19%

15%

16%

8%

13%

15%

13%

SEC E

8%

6%

5%

6%

4%

5%

2%

12%

9%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

24%

24%

22%

30%

27%

17%

24%

25%

22%

23%

East

15%

14%

12%

17%

13%

14%

14%

9%

9%

12%

South

32%

37%

41%

24%

34%

42%

38%

40%

43%

39%

West

30%

26%

26%

29%

25%

27%

24%

27%

25%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

56%

50%

56%

67%

66%

47%

63%

50%

46%

53%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Cyber cafe

43%

46%

45%

45%

50%

44%

45%

49%

57%

47%

In transit (while traveling)

6%

5%

8%

18%

13%

6%

10%

6%

6%

7%

Gender

Age Group

Socio Economic Classification

Region

Point of Access Home Place of work (office / school / college)

138

Table 24: Service provider subscribed to at home Service Provider Subscribed To At Home

VSNL / Tata

BSNL/ Sancharnet

MTNL

Reliance

Sify

Spectranet

Airtel/ Bharti

Local Cable Operator

Others

Don't Know

All Users

Sample Base

1,396

5,134

1,239

856

1,019

41

2,412

1,043

905

811

14,856

Male

82%

83%

75%

83%

78%

79%

83%

79%

83%

81%

81%

Female

18%

17%

25%

17%

23%

21%

17%

22%

17%

19%

19%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

14%

12%

11%

10%

19%

13%

10%

14%

14%

13%

19-24 years

28%

30%

24%

26%

32%

29%

35%

30%

30%

44%

31%

25-35 years

33%

27%

30%

43%

36%

40%

33%

34%

29%

28%

31%

35-45 years

17%

15%

18%

13%

12%

8%

10%

14%

15%

10%

14%

Above 45

12%

15%

16%

8%

10%

6%

9%

13%

12%

4%

12%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

32%

31%

34%

32%

30%

20%

29%

29%

26%

21%

30%

SEC B

30%

34%

30%

33%

33%

53%

34%

33%

29%

31%

33%

SEC C

22%

19%

20%

17%

20%

18%

18%

20%

21%

26%

20%

SEC D

11%

11%

12%

13%

12%

7%

12%

15%

18%

12%

12%

SEC E

5%

6%

5%

6%

6%

2%

6%

4%

5%

11%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

16%

23%

32%

29%

27%

85%

33%

10%

17%

24%

24%

East

10%

17%

1%

10%

9%

6%

8%

22%

9%

10%

12%

South

48%

39%

2%

33%

37%

2%

39%

42%

47%

42%

38%

West

27%

21%

65%

28%

27%

8%

20%

27%

27%

24%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Place of work (office / school / college)

70%

70%

76%

79%

73%

82%

69%

67%

66%

68%

70%

Cyber cafe

38%

37%

33%

44%

45%

47%

38%

39%

39%

66%

40%

In transit (while traveling)

10%

7%

8%

16%

8%

3%

9%

9%

9%

4%

8%

Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

139

Table 25: Service provider subscribed to at office Service Provider Subscribed To At Office

VSNL / Tata

BSNL/ Sancharnet

MTNL

Reliance

Sify

Spectranet

Airtel/ Bharti

Local Cable Operator

Others

Don't Know

All Users

Sample Base

2,095

5,436

1,268

1,153

952

81

2,884

719

1,394

3,758

19,740

Male

82%

85%

81%

87%

82%

88%

82%

85%

83%

78%

83%

Female

18%

15%

19%

13%

18%

12%

18%

15%

17%

22%

17%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

5%

9%

7%

7%

13%

8%

5%

6%

7%

11%

8%

19-24 years

23%

26%

25%

28%

33%

24%

31%

30%

27%

42%

30%

25-35 years

46%

38%

37%

45%

37%

49%

45%

37%

39%

33%

39%

35-45 years

16%

18%

19%

14%

12%

10%

13%

16%

18%

8%

14%

Above 45 years

10%

11%

13%

6%

6%

9%

6%

12%

9%

6%

8%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

29%

29%

28%

27%

22%

34%

26%

24%

27%

23%

27%

SEC B

31%

32%

34%

33%

31%

31%

35%

31%

30%

31%

32%

SEC C

24%

20%

21%

22%

24%

16%

22%

25%

23%

25%

23%

SEC D

11%

12%

11%

12%

15%

15%

13%

16%

13%

13%

13%

SEC E

5%

7%

6%

6%

8%

5%

4%

4%

6%

8%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

12%

23%

30%

24%

25%

55%

30%

11%

23%

21%

23%

East

14%

18%

2%

12%

10%

6%

6%

25%

11%

9%

12%

South

43%

36%

6%

30%

42%

24%

47%

40%

41%

44%

39%

West

30%

23%

62%

34%

24%

15%

16%

25%

26%

25%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

50%

55%

54%

56%

50%

69%

53%

51%

54%

52%

53%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Cyber cafe

44%

44%

39%

48%

55%

57%

44%

46%

45%

57%

47%

In transit (while traveling)

7%

6%

7%

12%

6%

7%

8%

7%

8%

6%

7%

Gender

Age Group

SEC

Region

Point of Access Home Place of work (office / school / college)

140

Table 26: Frequency of accessing internet from home Frequency Of Accessing Internet From Home

Over 5 times a Day

25 times a Day

Once Daily

Once In 23 Days

Once a Week

13 times a Month

Once in More than a Month

All Users

3,379

3,718

4,780

1,430

651

170

103

14,231

Male

82%

81%

81%

83%

79%

73%

81%

81%

Female

18%

19%

19%

17%

21%

27%

20%

19%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

13%

12%

16%

17%

19%

12%

13%

19-24 years

35%

29%

29%

27%

34%

37%

43%

31%

25-35 years

35%

28%

31%

32%

31%

26%

21%

31%

35-45 years

10%

14%

16%

15%

13%

13%

15%

14%

Above 45 years

10%

16%

12%

10%

5%

6%

8%

12%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

30%

32%

31%

28%

25%

22%

15%

30%

SEC B

32%

33%

34%

33%

28%

37%

28%

33%

SEC C

19%

18%

20%

18%

24%

27%

41%

19%

SEC D

13%

13%

10%

16%

16%

9%

10%

12%

SEC E

6%

5%

6%

5%

7%

6%

6%

6%

100%

100%

100%

100%

100%

100%

100%

100%

North

21%

21%

27%

24%

25%

27%

16%

24%

East

12%

13%

12%

14%

12%

13%

7%

13%

South

43%

41%

35%

34%

38%

32%

48%

39%

West

24%

25%

25%

28%

26%

28%

30%

25%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Place of work (office / school / college)

75%

66%

69%

70%

73%

72%

78%

70%

Cyber cafe

40%

37%

37%

47%

50%

48%

52%

40%

In transit (while traveling)

14%

9%

6%

5%

4%

3%

3%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

141

Table 27: Frequency of accessing internet from office Frequency Of Accessing Internet From Office

Over 5 times a Day

25 times a Day

Once Daily

Once In 23 Days

Once a Week

13 times a Month

Once in More than a Month

All Users

6,723

4,324

4,133

1,279

699

236

223

17,617

Male

82%

84%

82%

85%

79%

81%

81%

83%

Female

18%

16%

18%

15%

21%

19%

19%

17%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

4%

5%

10%

14%

19%

15%

15%

7%

19-24 years

25%

24%

31%

39%

43%

47%

35%

28%

25-35 years

47%

41%

36%

30%

24%

25%

37%

40%

35-45 years

16%

18%

14%

12%

9%

8%

8%

15%

8%

12%

8%

6%

6%

6%

5%

9%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

32%

29%

26%

21%

16%

17%

19%

28%

SEC B

34%

34%

30%

31%

27%

30%

26%

32%

SEC C

22%

21%

23%

23%

28%

23%

21%

22%

SEC D

8%

12%

14%

17%

20%

20%

20%

12%

SEC E

4%

5%

7%

8%

8%

10%

14%

6%

100%

100%

100%

100%

100%

100%

100%

100%

North

22%

22%

23%

24%

21%

20%

28%

22%

East

10%

15%

15%

13%

11%

15%

16%

13%

South

41%

37%

36%

37%

46%

38%

28%

39%

West

26%

26%

26%

26%

23%

28%

28%

26%

100%

100%

100%

100%

100%

100%

100%

100%

56%

51%

49%

48%

53%

52%

51%

52%

100%

100%

100%

100%

100%

100%

100%

100%

Cyber cafe

43%

43%

49%

60%

58%

55%

41%

46%

In transit (while traveling)

11%

5%

5%

4%

3%

3%

4%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access Home Place of work (office / school / college)

142

Table 28: Time of the day accessing internet from home Time Of The Day Accessing Internet From Home

Before 9.00 AM

9.00 AM12.00 Noon

12.00 Noon3.00 PM

3.00 PM6.00 PM

6.00 PM9.00 PM

9.00 PM12.00 Midnight

After 12.00 Midnight

Throughout the Day

All Users

714

1,113

881

844

2,460

5,014

475

2,404

13,905

Male

87%

77%

71%

71%

80%

86%

86%

80%

81%

Female

13%

23%

29%

29%

21%

14%

15%

20%

19%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

4%

16%

18%

29%

14%

8%

15%

12%

12%

19-24 years

21%

28%

32%

34%

33%

27%

43%

34%

31%

25-35 years

33%

32%

32%

25%

25%

36%

30%

30%

31%

35-45 years

20%

12%

10%

7%

14%

17%

6%

11%

14%

Above 45 years

22%

12%

9%

6%

14%

12%

7%

13%

12%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

36%

24%

23%

20%

28%

35%

23%

30%

30%

SEC B

34%

36%

32%

28%

31%

33%

36%

34%

33%

SEC C

15%

19%

21%

23%

22%

19%

21%

18%

19%

SEC D

10%

12%

18%

18%

14%

9%

13%

14%

12%

SEC E

5%

9%

7%

11%

5%

4%

7%

6%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

21%

24%

24%

30%

24%

24%

25%

20%

24%

East

13%

9%

15%

12%

13%

13%

16%

12%

13%

South

45%

39%

34%

35%

43%

36%

32%

40%

38%

West

20%

29%

28%

23%

20%

27%

27%

28%

25%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Place of work (office / school / college)

80%

67%

65%

60%

68%

77%

67%

66%

70%

Cyber cafe

35%

37%

37%

46%

42%

37%

42%

43%

40%

9%

7%

4%

5%

6%

9%

11%

14%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

In transit (while traveling)

143

Table 29: Time of the day accessing internet from office Time Of The Day Accessing Internet From Office

Before 9.00 AM

9.00 AM12.00 Noon

12.00 Noon3.00 PM

3.00 PM6.00 PM

6.00 PM9.00 PM

9.00 PM12.00 Midnight

After 12.00 Midnight

Throughout the Day

All Users

405

3,750

3,572

2,344

1,442

668

266

5,233

17,680

Male

79%

82%

81%

84%

90%

87%

87%

82%

83%

Female

21%

18%

19%

16%

10%

14%

13%

18%

17%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

7%

9%

10%

10%

8%

8%

4%

7%

19-24 years

31%

28%

29%

33%

34%

32%

43%

23%

28%

25-35 years

38%

40%

38%

34%

39%

42%

39%

47%

41%

35-45 years

12%

16%

15%

16%

11%

13%

8%

17%

15%

8%

10%

9%

9%

6%

6%

3%

9%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

19%

26%

28%

26%

19%

23%

13%

33%

28%

SEC B

32%

31%

31%

31%

34%

30%

39%

34%

32%

SEC C

18%

26%

22%

22%

24%

20%

30%

20%

22%

SEC D

16%

11%

13%

14%

16%

20%

9%

9%

12%

SEC E

15%

5%

7%

7%

8%

6%

9%

4%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

23%

23%

24%

24%

20%

22%

20%

22%

23%

9%

12%

16%

14%

13%

17%

8%

10%

13%

South

43%

44%

34%

36%

41%

37%

43%

39%

39%

West

25%

22%

26%

27%

27%

25%

29%

29%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

49%

51%

53%

49%

37%

53%

44%

59%

52%

100%

100%

100%

100%

100%

100%

100%

100%

100%

41%

42%

48%

47%

54%

42%

56%

46%

46%

5%

6%

4%

5%

4%

7%

6%

11%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region North East

Point of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)

144

Table 30: Duration of internet usage from home Duration Of Internet Usage From Home

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

2,141

3,972

4,848

2,348

376

330

14,015

Male

79%

82%

82%

82%

84%

87%

82%

Female

21%

18%

18%

18%

16%

14%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

12%

13%

12%

12%

11%

12%

13%

19-24 years

23%

28%

32%

37%

41%

37%

31%

25-35 years

33%

30%

31%

31%

33%

34%

31%

35-45 years

19%

16%

13%

10%

7%

11%

14%

Above 45 years

14%

13%

12%

10%

8%

7%

12%

100%

100%

100%

100%

100%

100%

100%

SEC A

33%

32%

29%

29%

28%

25%

30%

SEC B

33%

31%

34%

34%

35%

28%

33%

SEC C

19%

19%

21%

17%

17%

18%

19%

SEC D

10%

12%

11%

15%

15%

21%

12%

SEC E

5%

6%

6%

5%

5%

8%

6%

100%

100%

100%

100%

100%

100%

100%

North

25%

25%

24%

22%

19%

17%

24%

East

11%

12%

12%

15%

20%

9%

12%

South

36%

36%

40%

39%

39%

48%

38%

West

28%

28%

24%

23%

22%

27%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Place of work (office / school / college)

77%

71%

68%

67%

72%

70%

70%

Cyber cafe

32%

40%

41%

44%

41%

38%

40%

8%

7%

8%

12%

12%

24%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access Home

In transit (while traveling)

145

Table 31: Duration of internet usage from office Duration Of Internet Usage From Office

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

3,400

4,312

4,498

2,574

1,219

1,097

17,100

Male

81%

83%

84%

84%

81%

83%

83%

Female

19%

17%

16%

16%

19%

18%

17%

100%

100%

100%

100%

100%

100%

100%

13-18 years

8%

8%

7%

7%

3%

6%

7%

19-24 years

27%

27%

30%

26%

32%

31%

28%

25-35 years

39%

40%

39%

43%

48%

47%

41%

35-45 years

17%

15%

16%

15%

11%

10%

15%

Above 45 years

10%

10%

8%

9%

5%

5%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

27%

25%

28%

32%

29%

26%

28%

SEC B

32%

32%

32%

32%

34%

33%

32%

SEC C

24%

24%

23%

20%

22%

19%

23%

SEC D

11%

13%

12%

11%

10%

15%

12%

SEC E

6%

6%

5%

4%

5%

7%

5%

100%

100%

100%

100%

100%

100%

100%

North

21%

23%

23%

22%

22%

22%

22%

East

11%

13%

14%

15%

11%

11%

13%

South

39%

37%

39%

40%

40%

41%

39%

West

29%

27%

24%

23%

27%

26%

26%

100%

100%

100%

100%

100%

100%

100%

56%

46%

49%

54%

58%

62%

52%

100%

100%

100%

100%

100%

100%

100%

43%

49%

48%

45%

46%

45%

46%

6%

5%

6%

10%

10%

15%

7%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)

146

Table 32: Duration of internet usage during weekdays Duration Of Internet Usage During Weekdays

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

1,882

4,376

7,304

5,240

1,617

1,537

21,956

Male

79%

83%

82%

82%

83%

85%

82%

Female

21%

18%

18%

18%

18%

15%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

12%

14%

13%

11%

9%

7%

12%

19-24 years

28%

28%

32%

33%

37%

38%

32%

25-35 years

35%

32%

33%

35%

38%

41%

34%

35-45 years

15%

15%

13%

12%

10%

9%

13%

Above 45 years

10%

11%

10%

8%

6%

5%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

27%

25%

24%

27%

27%

25%

25%

SEC B

31%

32%

33%

31%

31%

32%

32%

SEC C

22%

22%

23%

21%

21%

22%

22%

SEC D

12%

13%

14%

14%

13%

16%

14%

SEC E

9%

8%

7%

6%

7%

6%

7%

100%

100%

100%

100%

100%

100%

100%

North

25%

24%

23%

22%

22%

19%

23%

East

10%

11%

13%

14%

11%

12%

13%

South

36%

38%

41%

41%

41%

42%

40%

West

29%

27%

24%

23%

26%

26%

25%

100%

100%

100%

100%

100%

100%

100%

Home

61%

61%

65%

69%

70%

69%

66%

Place of work (office / school / college)

78%

75%

73%

75%

81%

84%

76%

Cyber cafe

40%

48%

49%

47%

48%

46%

47%

5%

4%

5%

8%

9%

13%

7%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

147

Table 33: Duration of internet usage during weekends Duration Of Internet Usage During Weekends

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

1,993

3,388

5,947

4,720

1,789

1,685

19,522

Male

78%

82%

83%

85%

84%

84%

83%

Female

22%

18%

17%

15%

16%

16%

17%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

10%

11%

10%

10%

7%

10%

19-24 years

27%

30%

29%

31%

36%

36%

31%

25-35 years

39%

34%

37%

37%

38%

42%

37%

35-45 years

15%

16%

14%

13%

10%

10%

13%

Above 45 years

10%

10%

10%

9%

6%

5%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

27%

24%

26%

27%

25%

24%

26%

SEC B

32%

33%

31%

34%

34%

32%

32%

SEC C

23%

24%

24%

20%

21%

22%

22%

SEC D

12%

12%

14%

14%

13%

16%

14%

SEC E

7%

8%

6%

5%

6%

6%

6%

100%

100%

100%

100%

100%

100%

100%

North

24%

24%

22%

22%

23%

19%

22%

East

11%

11%

13%

14%

11%

13%

12%

South

37%

39%

41%

40%

41%

41%

40%

West

28%

26%

24%

24%

26%

27%

25%

100%

100%

100%

100%

100%

100%

100%

Home

52%

50%

55%

63%

65%

60%

57%

Place of work (office / school / college)

91%

87%

84%

82%

86%

90%

85%

Cyber cafe

41%

46%

50%

50%

49%

45%

48%

4%

5%

6%

7%

9%

12%

7%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

148

Table 34: Duration of PC usage from home Duration Of PC Usage From Home

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

1,560

3,052

5,593

3,247

1,007

755

15,214

Male

78%

82%

81%

84%

82%

88%

82%

Female

22%

18%

19%

17%

18%

12%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

12%

11%

12%

13%

12%

9%

12%

19-24 years

25%

27%

30%

35%

37%

34%

31%

25-35 years

35%

34%

32%

29%

33%

42%

32%

35-45 years

16%

15%

15%

12%

10%

9%

14%

Above 45 years

12%

14%

11%

11%

9%

6%

12%

100%

100%

100%

100%

100%

100%

100%

SEC A

32%

30%

30%

29%

27%

27%

30%

SEC B

34%

34%

32%

31%

36%

33%

33%

SEC C

15%

22%

22%

19%

17%

17%

20%

SEC D

12%

11%

10%

13%

13%

17%

12%

SEC E

7%

5%

6%

7%

7%

6%

6%

100%

100%

100%

100%

100%

100%

100%

North

25%

26%

24%

23%

22%

18%

24%

East

10%

10%

13%

13%

14%

12%

12%

South

35%

38%

38%

41%

38%

44%

39%

West

29%

26%

25%

23%

25%

27%

26%

100%

100%

100%

100%

100%

100%

100%

Home

92%

92%

92%

94%

97%

97%

93%

Place of work (office / school / college)

71%

71%

73%

70%

73%

79%

72%

Cyber cafe

34%

39%

42%

43%

43%

47%

41%

6%

7%

8%

9%

11%

18%

8%

Sample Base Gender

Age Group

Socio Economic

Region

Point of Access

In transit (while traveling)

149

Table 35: Duration of PC usage from office Duration Of PC Usage From Office

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

924

1,668

3,063

4,019

4,705

3,821

18,200

Male

83%

87%

85%

86%

79%

81%

83%

Female

17%

13%

15%

14%

21%

19%

17%

100%

100%

100%

100%

100%

100%

100%

13-18 years

18%

12%

12%

6%

3%

3%

7%

19-24 years

35%

36%

30%

24%

25%

29%

28%

25-35 years

29%

27%

33%

38%

49%

51%

41%

35-45 years

10%

16%

15%

18%

15%

13%

15%

9%

9%

10%

13%

8%

5%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

20%

23%

27%

31%

28%

27%

27%

SEC B

29%

34%

29%

32%

34%

35%

33%

SEC C

20%

20%

22%

22%

24%

24%

23%

SEC D

19%

14%

15%

11%

10%

10%

12%

SEC E

12%

9%

7%

4%

4%

5%

6%

100%

100%

100%

100%

100%

100%

100%

North

24%

25%

24%

23%

22%

19%

23%

East

10%

11%

15%

15%

11%

11%

12%

South

40%

39%

36%

36%

41%

42%

39%

West

26%

24%

25%

25%

27%

28%

26%

100%

100%

100%

100%

100%

100%

100%

Home

57%

56%

55%

56%

50%

50%

53%

Place of work (office / school / college)

97%

98%

98%

98%

98%

98%

98%

Cyber cafe

51%

47%

47%

45%

46%

48%

47%

5%

5%

5%

8%

6%

10%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic

Region

Point of Access

In transit (while traveling)

150

Table 36: Time spent by internet users on watching TV Time Spent By Internet Users On Watching TV

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

3,513

6,310

9,312

2,465

244

118

21,962

Male

83%

84%

82%

79%

78%

70%

82%

Female

18%

17%

18%

21%

22%

30%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

13%

11%

9%

18%

21%

16%

11%

19-24 years

33%

29%

30%

34%

47%

35%

31%

25-35 years

34%

35%

37%

32%

20%

33%

35%

35-45 years

13%

16%

14%

8%

8%

7%

13%

7%

10%

10%

8%

4%

9%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

25%

27%

26%

21%

12%

13%

25%

SEC B

32%

33%

32%

31%

30%

36%

32%

SEC C

22%

21%

23%

23%

28%

26%

22%

SEC D

14%

13%

13%

17%

20%

17%

14%

SEC E

8%

6%

6%

8%

11%

9%

7%

100%

100%

100%

100%

100%

100%

100%

North

22%

23%

23%

21%

17%

19%

23%

East

11%

13%

13%

11%

7%

6%

12%

South

39%

38%

40%

45%

53%

43%

40%

West

27%

26%

24%

23%

24%

31%

25%

100%

100%

100%

100%

100%

100%

100%

Home

70%

64%

60%

59%

62%

76%

63%

Place of work (office / school / college)

76%

80%

78%

71%

71%

70%

77%

Cyber cafe

41%

45%

48%

54%

59%

44%

47%

7%

7%

6%

5%

7%

17%

6%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

151

Table 37: Time spent by internet users on reading newspaper Time Spent By Internet Users On Reading Newspaper

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

10,107

9,264

2,843

214

37

36

22,501

Male

82%

82%

81%

82%

93%

87%

82%

Female

18%

18%

19%

18%

7%

13%

18%

100%

100%

100%

100%

100%

100%

100%

13-18 years

14%

9%

9%

23%

3%

10%

11%

19-24 years

34%

28%

27%

27%

53%

37%

31%

25-35 years

35%

36%

32%

24%

35%

21%

35%

35-45 years

12%

15%

15%

13%

7%

12%

13%

5%

12%

17%

14%

2%

20%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

23%

27%

31%

20%

16%

18%

25%

SEC B

32%

33%

32%

33%

11%

32%

32%

SEC C

23%

23%

19%

16%

26%

17%

22%

SEC D

15%

11%

13%

25%

30%

31%

13%

SEC E

7%

6%

6%

5%

18%

2%

7%

100%

100%

100%

100%

100%

100%

100%

North

23%

22%

23%

16%

15%

9%

22%

East

12%

12%

13%

19%

3%

8%

12%

South

40%

41%

38%

41%

41%

56%

40%

West

26%

25%

26%

24%

41%

27%

25%

100%

100%

100%

100%

100%

100%

100%

Home

64%

62%

61%

59%

49%

62%

63%

Place of work (office / school / college)

77%

79%

75%

74%

94%

89%

77%

Cyber cafe

46%

47%

47%

57%

58%

51%

47%

6%

7%

6%

18%

5%

34%

6%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

152

Table 38: Time spent by internet users on listening to radio Time Spent By Internet Users On Listening To Radio

Less than 30 Minutes

30 to 60 Minutes

1-2 Hours

2-5 Hours

5-8 Hours

More than 8 Hours

All Users

6,677

3,934

2,783

873

272

246

14,785

Male

84%

80%

75%

73%

75%

73%

80%

Female

16%

20%

25%

27%

25%

27%

20%

100%

100%

100%

100%

100%

100%

100%

13-18 years

11%

10%

13%

19%

15%

20%

12%

19-24 years

33%

31%

34%

40%

45%

45%

33%

25-35 years

33%

37%

33%

28%

21%

20%

34%

35-45 years

14%

12%

12%

8%

10%

10%

13%

9%

10%

8%

5%

9%

6%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

27%

25%

21%

20%

16%

20%

25%

SEC B

32%

34%

33%

30%

27%

29%

32%

SEC C

22%

22%

22%

20%

28%

18%

22%

SEC D

12%

13%

15%

18%

14%

21%

13%

SEC E

6%

7%

9%

13%

15%

12%

7%

100%

100%

100%

100%

100%

100%

100%

North

21%

23%

25%

23%

24%

24%

23%

East

11%

10%

10%

13%

12%

14%

11%

South

42%

42%

40%

37%

38%

40%

41%

West

26%

25%

26%

28%

26%

23%

26%

100%

100%

100%

100%

100%

100%

100%

Home

65%

60%

53%

56%

55%

62%

61%

Place of work (office / school / college)

79%

79%

81%

75%

67%

81%

79%

Cyber cafe

46%

47%

52%

56%

60%

60%

49%

6%

7%

7%

7%

4%

19%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

153

Table 39: Professional activities

Emailing work related

Job Search

Check business/ Financial news

Look for Seminar/ workshops

Search work related info

Business/ professional networking

Check business travel related info

Instant messagi ng

None of the Above

All Users

11,818

10,387

4,410

3,521

7,005

3,752

2,645

8,756

410

14,25 3

Male

81%

80%

86%

81%

80%

84%

83%

82%

71%

81%

Female

19%

20%

14%

19%

20%

16%

17%

19%

29%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18

9%

8%

4%

10%

6%

5%

5%

12%

36%

11%

19-24

30%

35%

24%

34%

29%

27%

22%

36%

31%

32%

25-35

38%

40%

42%

35%

42%

42%

42%

36%

15%

36%

35-45

14%

11%

17%

12%

14%

15%

18%

10%

11%

13%

9%

6%

12%

10%

10%

12%

13%

7%

7%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

27%

27%

36%

37%

32%

34%

37%

25%

11%

25%

SEC B

33%

32%

34%

30%

33%

33%

32%

32%

27%

32%

SEC C

22%

23%

18%

19%

21%

19%

18%

23%

22%

23%

SEC D

12%

12%

9%

10%

11%

11%

10%

14%

26%

14%

SEC E

6%

6%

3%

5%

4%

3%

3%

6%

14%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

22%

21%

21%

21%

21%

20%

21%

21%

24%

22%

East

12%

11%

11%

11%

12%

12%

11%

10%

19%

12%

South

41%

42%

40%

41%

41%

41%

41%

43%

28%

41%

West

26%

25%

28%

26%

27%

27%

27%

25%

29%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

62%

60%

66%

68%

63%

68%

70%

65%

58%

62%

Place of work (office / school / college)

80%

79%

84%

83%

82%

86%

86%

77%

50%

75%

Cyber cafe

49%

51%

48%

53%

52%

49%

47%

50%

40%

48%

7%

7%

12%

11%

9%

13%

16%

7%

2%

7%

Professio nal Activities

Sample Base Gender

Age Group

Above 45

Socio Economic Classificat ion

Region

Point of Access

In transit (while traveling)

154

Table 40: Personal activities Emailing personal

Dating/ Friendship

travel relate d info

Chatting

Matrim onial search

Share pictures

Check news

Check health & lifestyle info

Check Sports

Astrology

Check cinema content

Check hobby related info

Social networking/ Communities

Search for product

None of the above

All Users

12,712

7,128

3,584

8,261

6,683

5,502

8,744

4,288

8,070

6,406

3,754

4,485

6,224

6,325

126

14,253

Male

80%

85%

80%

81%

83%

81%

83%

74%

88%

78%

81%

77%

83%

83%

77%

81%

Female

20%

15%

20%

19%

17%

19%

17%

26%

12%

22%

19%

23%

17%

17%

24%

20%

13-18 years

10%

13%

6%

14%

9%

14%

9%

8%

11%

10%

15%

12%

12%

9%

18%

11%

19-24 years

31%

38%

23%

39%

34%

38%

32%

28%

35%

33%

41%

33%

37%

29%

22%

32%

25-35 years

37%

35%

42%

34%

40%

33%

37%

38%

37%

38%

33%

34%

36%

38%

38%

36%

35-45 years

13%

9%

17%

8%

11%

9%

13%

15%

11%

12%

7%

12%

10%

14%

12%

13%

9%

5%

13%

5%

7%

6%

9%

11%

6%

7%

5%

9%

6%

11%

10%

9%

SEC A

27%

23%

37%

24%

26%

26%

28%

29%

25%

26%

23%

29%

27%

30%

22%

25%

SEC B

32%

31%

32%

32%

31%

32%

32%

32%

32%

31%

31%

33%

31%

33%

28%

32%

SEC C

22%

23%

16%

23%

24%

21%

22%

22%

24%

23%

25%

19%

23%

21%

22%

23%

SEC D

13%

15%

11%

15%

13%

15%

13%

11%

13%

13%

15%

14%

13%

13%

22%

14%

SEC E

6%

7%

3%

7%

6%

7%

6%

6%

7%

6%

7%

6%

6%

4%

7%

6%

North

21%

21%

19%

21%

21%

20%

21%

21%

20%

22%

18%

20%

22%

19%

32%

22%

East

12%

12%

14%

11%

11%

12%

11%

11%

12%

12%

11%

14%

11%

12%

10%

12%

South

41%

43%

40%

44%

44%

42%

43%

41%

43%

42%

49%

39%

42%

42%

27%

41%

West

26%

25%

27%

25%

24%

26%

25%

27%

25%

24%

22%

27%

25%

27%

32%

26%

Personal Activities

Sample Base Gender

Age Group

Above 45 years SEC

Region

155

Emailing personal

Dating/ Friendship

Check personal travel related info

Home

62%

63%

Place of work (office / school / college)

76%

Cyber cafe

Personal Activities

Chatting

Matrimonial search

Share pictures

Check news

Check health & lifestyle info

Check Sports

Astrology

Check cinema content

Check hobby related info

Social networking / Communities

Search for product information

None of the above

All Users

70%

67%

61%

69%

63%

67%

62%

61%

68%

68%

66%

67%

41%

62%

77%

82%

73%

81%

75%

80%

77%

80%

80%

75%

77%

80%

78%

74%

75%

49%

53%

49%

52%

51%

52%

48%

50%

51%

50%

53%

52%

51%

51%

40%

48%

7%

7%

13%

7%

7%

9%

8%

10%

7%

7%

8%

10%

9%

9%

4%

7%

Point of Access

In transit (while traveling)

156

Table 41: Downloading activities Educational / Learning material

Screensavers/ wallpapers

Adult content

Movies

None of the above

All Users

7,611

Mobile contents (ring tones / games, ) 6,975

6,775

6,454

2,513

4,043

1,909

14,253

82%

83%

84%

81%

79%

96%

84%

80%

81%

18%

17%

16%

19%

21%

5%

16%

20%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

13%

13%

11%

12%

14%

7%

15%

6%

11%

19-24 years

37%

36%

37%

36%

37%

32%

41%

18%

32%

25-35 years

35%

35%

37%

36%

33%

39%

32%

39%

36%

35-45 years

9%

10%

10%

10%

10%

14%

7%

19%

13%

Above 45

6%

6%

5%

6%

6%

8%

6%

18%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

24%

23%

24%

27%

22%

25%

23%

30%

25%

SEC B

31%

31%

31%

31%

33%

31%

30%

34%

32%

SEC C

24%

24%

23%

22%

23%

22%

23%

21%

23%

SEC D

15%

15%

15%

13%

15%

16%

16%

12%

14%

SEC E

7%

7%

7%

7%

7%

6%

7%

4%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

21%

21%

21%

22%

22%

22%

20%

21%

22%

East

11%

11%

12%

11%

12%

13%

12%

13%

12%

South

45%

43%

42%

43%

40%

42%

45%

37%

41%

West

23%

25%

26%

24%

25%

24%

24%

30%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

65%

64%

62%

63%

66%

67%

69%

52%

62%

Place of work (office / school / college)

76%

77%

79%

80%

74%

78%

77%

72%

75%

Cyber cafe

50%

50%

52%

52%

51%

52%

51%

42%

48%

In transit (while traveling)

7%

7%

8%

7%

7%

9%

9%

5%

7%

Downloading Activities

Music

Online games

Sample Base

8,322

Male Female

Gender

Age Group

Socio Economic Classification

Region

Point of Access

157

Table 42: E-Commerce related activities ECommerce Related Activities

Egreetings

Net telephony

Online bill payment

Book air tickets

Book train tickets

Book hotels

Buy products online (other than travel related products)

Net banking

Check real estate info

Check financial info

Online stock trading

None of Above

All Users

Sample Base

8,113

1,798

3,217

3,309

4,131

1,126

3,495

4,348

5,193

6,406

1,947

1,843

14,043

Male

77%

87%

85%

80%

83%

83%

86%

85%

85%

86%

88%

81%

81%

Female

23%

14%

15%

20%

17%

17%

14%

15%

15%

15%

12%

20%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

9%

6%

7%

7%

11%

6%

4%

9%

7%

4%

22%

11%

19-24 years

32%

33%

25%

22%

28%

26%

21%

24%

32%

32%

19%

36%

32%

25-35 years

37%

38%

46%

42%

41%

37%

44%

48%

40%

39%

43%

28%

36%

35-45 years

12%

10%

13%

16%

15%

15%

16%

14%

13%

13%

17%

9%

13%

9%

10%

10%

13%

10%

11%

13%

11%

7%

9%

17%

6%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

28%

30%

36%

41%

31%

34%

36%

35%

28%

29%

43%

14%

26%

SEC B

33%

32%

31%

31%

33%

29%

34%

34%

31%

32%

33%

30%

32%

SEC C

22%

22%

19%

16%

20%

18%

19%

20%

23%

23%

15%

25%

23%

SEC D

12%

10%

10%

9%

11%

12%

9%

8%

13%

12%

6%

20%

14%

SEC E

5%

6%

4%

3%

5%

6%

3%

3%

6%

6%

4%

10%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

22%

21%

21%

21%

21%

19%

20%

21%

21%

21%

23%

21%

22%

East

11%

10%

11%

13%

11%

17%

11%

10%

10%

10%

11%

15%

12%

South

43%

43%

42%

39%

41%

40%

42%

41%

44%

43%

33%

38%

41%

West

25%

26%

26%

27%

27%

25%

27%

28%

25%

26%

33%

26%

26%

Gender

Age Group

Above 45 years

SEC

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

158

ECommerce Related Activities

Egreetings

Net telephony

Online bill payment

Book air tickets

Book train tickets

Book hotels

Buy products online (other than travel related products)

Net banking

Check real estate info

Check financial info

Online stock trading

None of Above

All Users

Sample Base

8,113

1,798

3,217

3,309

4,131

1,126

3,495

4,348

5,193

6,406

1,947

1,843

14,043

Home

65%

75%

72%

74%

65%

70%

74%

68%

62%

63%

82%

50%

62%

Place of work (office / school / college)

77%

81%

85%

86%

82%

83%

83%

86%

83%

82%

80%

61%

76%

Cyber cafe

51%

51%

47%

43%

48%

45%

46%

48%

51%

49%

41%

49%

48%

8%

14%

14%

15%

9%

15%

13%

13%

9%

9%

14%

1%

7%

Point of Access

In transit (while traveling)

159

Table 43: Online shopping Searched only

Both searched and bought

Neither searched nor bought

All Users

4,724

6,164

3,365

14,253

Male

80%

83%

77%

81%

Female

20%

17%

23%

20%

100%

100%

100%

100%

13-18 years

15%

7%

14%

11%

19-24 years

40%

25%

32%

32%

25-35 years

30%

42%

33%

36%

35-45 years

9%

15%

13%

13%

Above 45 years

6%

12%

8%

9%

100%

100%

100%

100%

SEC A

18%

34%

21%

25%

SEC B

30%

34%

32%

32%

SEC C

25%

20%

23%

23%

SEC D

18%

9%

16%

14%

SEC E

9%

4%

8%

6%

100%

100%

100%

100%

North

23%

21%

21%

22%

East

12%

11%

14%

12%

South

41%

42%

39%

41%

West

24%

27%

26%

26%

100%

100%

100%

100%

Home

56%

69%

55%

62%

Place of work (office / school / college)

70%

82%

71%

75%

Cyber cafe

50%

46%

48%

48%

3%

11%

4%

7%

Online Shopping Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

160

Table 44: Blogging activities Check / read blogs at least once a week

Check / read blogs less than once a week

Comment on blog post at least once a week

Comment on blog post less than once a week

Have a blog site of my own

None of the above

All Users

3,208

1,178

1,289

793

958

9,953

14,253

Male

86%

87%

88%

90%

87%

78%

81%

Female

14%

13%

12%

10%

13%

22%

20%

100%

100%

100%

100%

100%

100%

100%

13-18 years

10%

10%

10%

10%

12%

12%

11%

19-24 years

31%

32%

32%

31%

35%

31%

32%

25-35 years

37%

39%

38%

41%

35%

36%

36%

35-45 years

12%

11%

11%

9%

10%

13%

13%

9%

8%

9%

9%

9%

9%

9%

100%

100%

100%

100%

100%

100%

100%

SEC A

28%

30%

28%

31%

30%

24%

25%

SEC B

32%

32%

32%

31%

30%

32%

32%

SEC C

24%

22%

23%

22%

23%

22%

23%

SEC D

10%

12%

11%

10%

10%

15%

14%

SEC E

6%

5%

5%

7%

7%

6%

6%

100%

100%

100%

100%

100%

100%

100%

North

21%

19%

20%

23%

18%

22%

22%

East

10%

11%

11%

11%

9%

12%

12%

South

45%

44%

45%

40%

48%

40%

41%

West

24%

26%

24%

26%

25%

26%

26%

100%

100%

100%

100%

100%

100%

100%

Home

67%

67%

72%

71%

74%

60%

62%

Place of work (office / school / college)

80%

79%

78%

83%

77%

74%

75%

Cyber cafe

48%

50%

48%

50%

47%

48%

48%

In transit (while traveling)

10%

10%

13%

14%

14%

5%

7%

Blogging Activities

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

161

Table 45: Member of an online community Not a member of any online community

Member of an online community

All Users

8,398

5,855

14,253

Male

78%

84%

81%

Female

22%

17%

20%

100%

100%

100%

13-18 years

9%

14%

11%

19-24 years

28%

38%

32%

25-35 years

39%

32%

36%

35-45 years

15%

10%

13%

Above 45 years

10%

7%

9%

100%

100%

100%

SEC A

24%

28%

25%

SEC B

34%

30%

32%

SEC C

23%

23%

23%

SEC D

14%

13%

14%

SEC E

6%

6%

6%

100%

100%

100%

North

21%

22%

22%

East

12%

11%

12%

South

40%

42%

41%

West

27%

25%

26%

100%

100%

100%

Home

56%

69%

62%

Place of work (office / school / college)

74%

78%

75%

Cyber cafe

47%

49%

48%

5%

9%

7%

Member Of An Online Community Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

162

Table 46: Membership by type of online community Membership By Type Of Online Community

Not in any online community

Alumni & Schools

Arts & Entert

Company

Computers & Internet

Countries & Regional

Cultures & Community

Family & Home

Fashion & Beauty

Food, Drink & Wine

Games

All Users

Sample Base

8,398

1,012

29

193

741

61

204

79

65

18

348

14,253

Male

78%

86%

82%

84%

88%

97%

89%

60%

44%

63%

86%

81%

Female

2%

14%

18%

16%

12%

3%

11%

40%

56%

38%

14%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

17%

14%

5%

2%

10%

2%

12%

11%

10%

9%

27%

18%

28%

11%

28%

36%

40%

34%

22%

25%

52%

41%

55%

38%

37%

35%

12%

40%

32%

25-35 years

39%

35%

28%

33%

45%

42%

38%

35%

20%

35%

37%

35%

40%

20%

36%

35-45 years

15%

8%

14%

21%

18%

10%

7%

9%

12%

8%

10%

3%

15%

8%

13%

Above 45

10%

5%

5%

6%

14%

14%

3%

3%

2%

10%

8%

1%

15%

4%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

24%

41%

22%

24%

47%

51%

22%

20%

44%

27%

32%

28%

43%

17%

25%

SEC B

34%

30%

34%

54%

27%

31%

34%

29%

21%

28%

24%

35%

28%

29%

32%

SEC C

23%

16%

24%

13%

20%

14%

26%

29%

17%

29%

30%

8%

5%

21%

23%

SEC D

14%

9%

9%

5%

6%

3%

16%

15%

12%

13%

12%

14%

5%

23%

14%

SEC E

6%

4%

11%

3%

0.4%

0.0%

2%

7%

7%

4%

3%

15%

20%

10%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

21%

24%

22%

16%

22%

26%

17%

22%

35%

19%

20%

32%

32%

19%

22%

East

12%

10%

7%

13%

10%

6%

17%

12%

6%

12%

7%

11%

0.0%

14%

12%

South

40%

44%

36%

49%

43%

45%

37%

44%

44%

41%

51%

31%

33%

41%

41%

West

27%

21%

35%

22%

26%

23%

30%

23%

16%

28%

21%

26%

35%

26%

26%

Auto

Business / Professional community

Cities & Neighborhoods

246

78

467

79%

85%

98%

22%

21%

16%

100%

100%

13-18 years

9%

19-24 years

Gender

Age Group

SEC

Region

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

163

Company

Computers & Internet

Countries & Regional

Cultures & Communit y

Family & Home

Fashio n& Beauty

29

193

741

61

204

79

65

Food , Drink & Wine 18

77%

87%

47%

69%

72%

63%

60%

73%

85%

90%

70%

93%

84%

82%

83%

76%

47%

53%

45%

48%

49%

52%

47%

53%

4%

17%

16%

12%

6%

11%

7%

8%

Membership By Type Of Online Community

Not in any online community

Alumni & Schools

Arts & Entert

Sample Base

8,398

1,012

Home

56%

Place of work (office / school / college)

Auto

Business / Professional community

Cities & Neighborhoods

246

78

467

76%

63%

71%

74%

75%

75%

Cyber cafe

47%

50%

In transit (while traveling)

5%

12%

Games

All Users

348

14,253

72%

67%

62%

78%

85%

71%

75%

37%

50%

50%

45%

48%

7%

8%

15%

6%

7%

Point of Access

164

Table 47: Membership by type of online community Membership By Type Of Online Community

Gay, Lesbian & Bi

Government & Politics

Health, Wellness & Fitness

Hobbies & Crafts

Individuals

Music

Pets & Animals

Recreation & Sports

Religion & Beliefs

Romance & Relationships

Schools & Education

Science & History

Travel

All Users

Sample Base

32

27

113

50

269

370

32

29

122

639

386

119

126

14,253

97%

87%

70%

72%

82%

83%

62%

98%

79%

89%

78%

89%

83%

81%

3%

13%

30%

28%

18%

17%

38%

2%

21%

11%

22%

11%

17%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

2%

6%

2%

8%

18%

16%

20%

36%

7%

13%

27%

21%

7%

11%

19-24 years

31%

42%

20%

37%

27%

48%

27%

31%

39%

45%

44%

29%

19%

32%

25-35 years

40%

26%

34%

32%

37%

28%

31%

11%

31%

28%

15%

31%

32%

36%

35-45 years

20%

20%

26%

5%

12%

4%

19%

10%

10%

8%

8%

9%

22%

13%

6%

6%

18%

19%

7%

5%

4%

11%

13%

7%

6%

10%

21%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

10%

41%

40%

36%

34%

15%

23%

8%

22%

20%

26%

26%

29%

25%

SEC B

30%

28%

29%

27%

22%

29%

37%

30%

45%

34%

25%

31%

35%

32%

SEC C

25%

16%

22%

15%

27%

27%

19%

55%

19%

23%

20%

22%

18%

23%

SEC D

30%

4%

5%

15%

14%

21%

14%

5%

9%

15%

19%

13%

14%

14%

SEC E

5%

10%

5%

8%

3%

9%

8%

2%

6%

7%

10%

8%

5%

6%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

14%

17%

26%

25%

23%

20%

22%

11%

26%

22%

26%

25%

19%

22%

6%

8%

9%

14%

9%

13%

6%

7%

5%

12%

8%

18%

13%

12%

South

22%

50%

46%

49%

49%

46%

55%

61%

40%

38%

42%

38%

35%

41%

West

58%

25%

20%

13%

20%

21%

18%

21%

30%

28%

23%

20%

32%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Gender Male Female

Age Group

Above 45

SEC

Region North East

Sample Base

32

27

113

50

269

370

32

29

122

639

386

119

126

14,253

165

Membership By Type Of Online Community

Gay, Lesbian & Bi

Government & Politics

Health, Wellness & Fitness

Hobbies & Crafts

Individuals

Music

Pets & Animals

Recreation & Sports

Religion & Beliefs

Romance & Relationships

Schools & Education

Science & History

Travel

All Users

Home

51%

62%

70%

72%

81%

65%

65%

76%

62%

67%

69%

67%

67%

62%

Place of work (office / school / college)

92%

67%

82%

75%

73%

72%

74%

87%

82%

73%

67%

81%

82%

75%

Cyber cafe

43%

50%

44%

51%

50%

47%

54%

42%

37%

61%

45%

53%

32%

48%

In transit (while traveling)

13%

7%

7%

5%

10%

6%

6%

2%

6%

6%

4%

13%

10%

7%

Point of Access

166

Table 48: Usage of other language websites Usage Of Other Language Websites

Use other language websites

Use only English websites

All Users

1,661

12,592

14,253

Male

85%

80%

81%

Female

15%

20%

20%

100%

100%

100%

13-18 years

7%

12%

11%

19-24 years

28%

32%

32%

25-35 years

40%

35%

36%

35-45 years

16%

12%

13%

8%

9%

9%

100%

100%

100%

SEC A

25%

26%

25%

SEC B

30%

32%

32%

SEC C

28%

22%

23%

SEC D

12%

14%

14%

SEC E

5%

6%

6%

100%

100%

100%

17%

22%

22%

9%

12%

12%

South

51%

40%

41%

West

24%

26%

26%

100%

100%

100%

Home

58%

62%

62%

Place of work (office / school / college)

83%

74%

75%

Cyber cafe

47%

48%

48%

6%

7%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

167

Table 49: Online activities desired in other languages Online Activities Desired In Other Languages

Email

Chatting

Entertainment

Online news

Search information

Travel related information

Online shopping

Blog

Online learning / education

Matrimony

Astrology

Not Interested

All Users

Sample Base

8,773

6,383

6,326

4,425

4,615

2,364

2,589

1,664

4,371

1,875

3,354

2,965

14,253

Male

83%

84%

84%

84%

83%

82%

83%

88%

81%

83%

76%

76%

81%

Female

18%

16%

16%

16%

18%

18%

17%

12%

19%

17%

24%

24%

20%

13-18 years

11%

14%

14%

11%

11%

8%

9%

11%

13%

8%

10%

9%

11%

19-24 years

34%

39%

36%

30%

33%

25%

29%

32%

34%

33%

32%

28%

32%

25-35 years

35%

33%

32%

35%

33%

38%

38%

35%

32%

41%

36%

39%

36%

35-45 years

13%

9%

11%

15%

13%

16%

14%

13%

13%

10%

13%

13%

13%

8%

6%

7%

10%

9%

13%

10%

9%

9%

9%

9%

11%

9%

SEC A

23%

22%

22%

26%

25%

29%

27%

29%

25%

26%

25%

31%

25%

SEC B

32%

32%

32%

33%

32%

33%

34%

32%

32%

31%

33%

33%

32%

SEC C

24%

24%

23%

23%

23%

21%

22%

23%

22%

24%

23%

19%

23%

SEC D

14%

15%

15%

13%

14%

12%

11%

10%

14%

14%

13%

12%

14%

SEC E

7%

8%

8%

6%

7%

6%

6%

6%

7%

6%

6%

4%

6%

North

22%

21%

21%

20%

20%

19%

20%

21%

21%

19%

23%

22%

22%

East

11%

11%

12%

11%

12%

12%

12%

13%

13%

12%

15%

12%

12%

South

41%

42%

43%

44%

41%

40%

41%

41%

41%

42%

36%

39%

41%

West

26%

26%

25%

26%

27%

29%

28%

25%

26%

27%

26%

28%

26%

Home

61%

64%

63%

63%

64%

66%

68%

72%

64%

62%

62%

65%

62%

Place of work (office / school / college)

77%

74%

75%

79%

77%

82%

81%

78%

76%

82%

79%

71%

75%

Cyber cafe

48%

52%

50%

49%

49%

50%

49%

53%

52%

52%

51%

47%

48%

6%

6%

6%

8%

7%

10%

10%

13%

7%

8%

7%

8%

7%

Gender

Age Group

Above 45 years SEC

Region

Point of Access

In transit (while traveling)

168

Table 50: Problems faced while surfing the internet Problems Faced While Surfing The Internet

Difficult to connect

Slow website opening

Cumbersome navigation

Unsolicited ads/pop ups

Lack of response to queries website

Spam / junk mails

Virus / spyware

Lack of local language content

Never faced any problem

Others

All Users

Sample Base

4,852

8,806

1,724

6,310

3,766

6,978

6,966

1,169

1,192

252

25,060

Male

77%

79%

87%

82%

81%

82%

81%

84%

80%

83%

82%

Female

23%

21%

13%

18%

19%

18%

19%

16%

20%

17%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

14%

12%

8%

9%

12%

7%

9%

8%

14%

11%

11%

19-24 years

35%

33%

29%

29%

36%

29%

32%

31%

32%

32%

31%

25-35 years

32%

35%

37%

38%

34%

40%

37%

38%

34%

28%

36%

35-45 years

12%

12%

14%

14%

11%

14%

13%

15%

12%

11%

13%

8%

8%

12%

11%

7%

10%

9%

8%

8%

18%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

24%

26%

34%

31%

28%

31%

29%

23%

17%

26%

24%

SEC B

31%

32%

33%

33%

30%

33%

32%

32%

32%

33%

32%

SEC C

22%

22%

19%

20%

21%

21%

21%

26%

24%

18%

23%

SEC D

16%

15%

12%

12%

15%

11%

12%

13%

18%

19%

14%

SEC E

7%

6%

4%

4%

6%

4%

5%

6%

8%

5%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

20%

21%

19%

21%

22%

21%

21%

17%

23%

21%

22%

East

13%

13%

13%

13%

12%

12%

13%

14%

10%

8%

12%

South

42%

40%

42%

40%

40%

41%

41%

46%

40%

43%

40%

West

26%

26%

27%

26%

26%

25%

25%

23%

27%

28%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

59%

61%

73%

70%

65%

66%

66%

62%

53%

67%

59%

Place of work (office / school / college)

75%

75%

78%

76%

76%

79%

78%

78%

74%

76%

78%

Cyber cafe

53%

51%

53%

49%

54%

50%

50%

54%

41%

55%

47%

In transit (while traveling)

6%

7%

13%

9%

8%

9%

8%

6%

5%

9%

6%

Gender

Age Group

Above 45

Socio Economic Classification

Region

Point of Access

169

Table 51: Top of mind unaided recall all websites Top Of Mind Unaided Recall All Websites

Yahoo

Google

Rediff

Orkut

Gmail

All Users

7,281

6,646

2,810

1,099

709

24,433

Male

77%

81%

82%

84%

77%

81%

Female

23%

19%

18%

16%

23%

20%

13-18 years

11%

11%

6%

41%

6%

12%

19-24 years

36%

37%

24%

49%

43%

35%

25-35 years

33%

34%

45%

9%

42%

33%

35-45 years

12%

10%

17%

0.8%

5%

12%

9%

8%

8%

0.4%

4%

8%

SEC A

22%

29%

27%

14%

33%

24%

SEC B

31%

31%

34%

28%

29%

31%

SEC C

23%

23%

23%

27%

28%

23%

SEC D

15%

12%

10%

24%

7%

14%

SEC E

8%

6%

6%

8%

4%

7%

North

23%

20%

24%

24%

25%

22%

East

10%

10%

14%

14%

9%

11%

South

44%

46%

33%

41%

46%

43%

West

23%

25%

29%

20%

20%

24%

Home

62%

69%

53%

78%

61%

64%

Place of work (office / school / college)

73%

77%

83%

51%

84%

75%

Cyber cafe

44%

46%

46%

51%

49%

44%

5%

9%

6%

3%

7%

7%

Sample Base Gender

Age Group

Above 45 years Socio Economic Classification

Region

Point of Access

In transit (while traveling)

170

Table 52: Most used website all websites Most Used Website All Websites

Google

Yahoo

Rediff

Orkut

Gmail

All Users

4,124

3,744

1,534

1,112

549

14,075

Male

79%

74%

80%

83%

82%

79%

Female

22%

26%

20%

17%

19%

21%

100%

100%

100%

100%

100%

100%

13-18 years

10%

12%

5%

38%

7%

13%

19-24 years

36%

36%

22%

51%

36%

35%

25-35 years

37%

32%

48%

9%

47%

34%

35-45 years

10%

10%

17%

0.4%

7%

11%

7%

9%

8%

1%

4%

8%

100%

100%

100%

100%

100%

100%

SEC A

31%

23%

29%

14%

29%

26%

SEC B

31%

31%

34%

29%

31%

31%

SEC C

22%

23%

23%

27%

26%

22%

SEC D

11%

16%

9%

24%

11%

14%

SEC E

6%

8%

5%

7%

4%

7%

100%

100%

100%

100%

100%

100%

North

21%

21%

23%

22%

23%

22%

East

10%

10%

12%

15%

10%

10%

South

46%

46%

36%

38%

48%

43%

West

24%

23%

29%

26%

19%

25%

100%

100%

100%

100%

100%

100%

Home

71%

63%

55%

81%

64%

67%

Place of work (office / school / college)

79%

70%

81%

46%

85%

73%

Cyber cafe

47%

44%

49%

50%

43%

44%

In transit (while traveling)

11%

5%

6%

4%

13%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

171

Table 53: Preferred website for emailing Preferred Website For Emailing

AOL

Gmail

Hotmail

Indiatimes

Lycos

Rediff

Sancharnet/ BSNL

Sify

VSNL

Yahoo

All Users

25

4,987

1,428

226

22

4,486

118

251

125

13,307

25,060

91%

84%

78%

78%

72%

80%

78%

82%

77%

77%

81%

9%

16%

22%

22%

28%

20%

22%

18%

24%

23%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

17%

11%

11%

7%

0.0%

9%

6%

10%

6%

15%

12%

19-24 years

54%

38%

20%

30%

7%

27%

19%

27%

11%

38%

35%

25-35 years

19%

37%

36%

40%

54%

43%

37%

29%

34%

29%

33%

35-45 years

7%

8%

22%

15%

19%

14%

21%

22%

28%

10%

12%

Above 45 years

3%

7%

11%

9%

20%

7%

17%

11%

22%

8%

8%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

0.0%

33%

27%

30%

20%

27%

31%

31%

37%

22%

24%

SEC B

72%

31%

38%

29%

41%

33%

37%

30%

30%

30%

31%

SEC C

8%

21%

18%

24%

25%

23%

13%

16%

17%

23%

23%

SEC D

14%

10%

9%

7%

14%

11%

13%

14%

8%

18%

14%

SEC E

5%

4%

8%

10%

0.0%

6%

6%

9%

9%

7%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

74%

23%

20%

33%

19%

25%

19%

25%

11%

20%

22%

0.0%

9%

9%

12%

3%

13%

16%

16%

17%

10%

11%

South

19%

46%

38%

21%

12%

35%

39%

34%

35%

47%

43%

West

7%

22%

33%

34%

67%

28%

26%

25%

36%

24%

24%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

37%

74%

74%

64%

70%

57%

75%

66%

80%

68%

64%

Place of work (office / school / college)

88%

79%

73%

73%

61%

79%

78%

66%

81%

69%

75%

Cyber cafe

60%

43%

33%

41%

20%

49%

26%

34%

10%

45%

44%

In transit (while traveling)

27%

12%

8%

6%

16%

6%

4%

5%

13%

6%

7%

Sample Base Gender Male Female

Age Group

Socio Economic Classification

Region North East

Point of Access

172

Table 54: Multiple user shares of email websites Multiple User Shares Of Email Websites

AOL

Gmail

Hotmail

Indiatimes

Lycos

Rediff

Sancharnet/ BSNL

Sify

VSNL

Yahoo

Others

All Users

Sample Base

702

14,785

8,971

4,310

231

14,159

906

3,233

1,103

22,379

3,283

25,060

Male

86%

82%

82%

85%

91%

82%

84%

85%

82%

79%

82%

81%

Female

14%

19%

19%

15%

9%

19%

16%

15%

18%

21%

18%

20%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

15%

11%

11%

7%

9%

10%

13%

12%

9%

13%

11%

12%

19-24 years

41%

40%

32%

30%

35%

34%

28%

34%

28%

36%

35%

35%

25-35 years

34%

33%

36%

41%

35%

37%

30%

36%

33%

33%

36%

33%

35-45 years

6%

9%

12%

13%

12%

11%

17%

11%

15%

11%

9%

12%

Above 45 years

5%

7%

9%

9%

9%

7%

13%

8%

15%

8%

9%

8%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

28%

29%

29%

34%

31%

27%

29%

27%

32%

25%

28%

24%

SEC B

28%

31%

32%

33%

25%

33%

33%

30%

27%

31%

33%

31%

SEC C

22%

23%

22%

21%

18%

23%

21%

23%

25%

23%

20%

23%

SEC D

14%

13%

13%

8%

19%

12%

11%

13%

11%

15%

13%

14%

SEC E

8%

5%

5%

5%

8%

6%

6%

7%

6%

7%

6%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

21%

21%

20%

24%

23%

23%

20%

22%

10%

21%

25%

22%

East

12%

9%

9%

12%

6%

11%

12%

14%

9%

10%

10%

11%

South

44%

47%

45%

31%

43%

40%

44%

44%

53%

45%

36%

43%

West

23%

23%

27%

33%

28%

26%

24%

20%

28%

24%

29%

24%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

81%

72%

76%

71%

74%

66%

79%

67%

78%

68%

71%

64%

Place of work (office / school / college)

74%

75%

76%

80%

80%

77%

78%

78%

74%

72%

74%

75%

Cyber cafe

50%

47%

44%

49%

50%

49%

43%

51%

38%

45%

51%

44%

In transit (while traveling)

17%

10%

12%

13%

19%

8%

13%

13%

17%

7%

12%

7%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

173

Table 55: Preferred website for job search Preferred Website For Job Search

Naukri

Monster

Timesjobs

Google

Yahoo

All Users

3,802

2,825

1,413

551

291

10,387

Male

78%

81%

79%

80%

79%

79%

Female

22%

19%

21%

20%

21%

21%

100%

100%

100%

100%

100%

100%

13-18 years

5%

11%

8%

19%

14%

9%

19-24 years

33%

44%

41%

46%

27%

38%

25-35 years

47%

30%

36%

24%

31%

37%

35-45 years

10%

10%

11%

6%

8%

10%

6%

5%

4%

5%

20%

6%

100%

100%

100%

100%

100%

100%

SEC A

34%

24%

25%

16%

18%

27%

SEC B

33%

30%

31%

25%

29%

31%

SEC C

19%

21%

26%

40%

24%

23%

SEC D

9%

18%

12%

12%

15%

12%

SEC E

5%

7%

6%

8%

14%

6%

100%

100%

100%

100%

100%

100%

25%

20%

17%

20%

28%

22%

9%

13%

9%

6%

9%

10%

South

41%

45%

47%

52%

41%

44%

West

25%

23%

27%

23%

23%

24%

100%

100%

100%

100%

100%

100%

Home

65%

70%

63%

55%

58%

66%

Place of work (office / school / college)

81%

74%

75%

74%

76%

77%

Cyber cafe

46%

51%

48%

48%

41%

48%

8%

8%

6%

6%

4%

8%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

174

Table 56: Preferred website for mobile content Preferred Website For Mobile Content

Yahoo

Rediff

Google

Nokia

Indiatimes

All Users

982

857

698

594

470

6,912

Male

75%

83%

78%

83%

84%

83%

Female

25%

18%

23%

17%

16%

17%

100%

100%

100%

100%

100%

100%

13-18 years

20%

7%

10%

9%

9%

13%

19-24 years

27%

28%

52%

38%

31%

39%

25-35 years

32%

42%

29%

39%

45%

34%

35-45 years

11%

15%

8%

9%

11%

9%

Above 45 years

10%

7%

2%

4%

4%

5%

100%

100%

100%

100%

100%

100%

SEC A

21%

30%

22%

23%

37%

25%

SEC B

31%

32%

24%

31%

35%

31%

SEC C

20%

18%

29%

27%

10%

22%

SEC D

19%

15%

14%

14%

12%

15%

SEC E

10%

6%

11%

5%

6%

7%

100%

100%

100%

100%

100%

100%

North

19%

20%

22%

21%

24%

22%

East

20%

12%

6%

7%

16%

11%

South

36%

38%

50%

47%

33%

42%

West

25%

31%

22%

24%

28%

25%

100%

100%

100%

100%

100%

100%

Home

62%

59%

62%

71%

70%

68%

Place of work (office / school / college)

81%

83%

80%

71%

87%

77%

Cyber cafe

51%

51%

49%

49%

50%

48%

In transit (while traveling)

11%

7%

8%

8%

13%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

175

Table 57: Preferred website for sports Preferred Website For Sports

Espnstarsports

Cricinfo

Yahoo

Google

Rediff

All Users

2,185

1,043

920

598

598

7,666

92%

95%

79%

79%

86%

87%

8%

5%

21%

21%

14%

13%

100%

100%

100%

100%

100%

100%

13-18 years

14%

6%

14%

14%

6%

12%

19-24 years

40%

40%

39%

40%

24%

37%

25-35 years

35%

39%

30%

33%

42%

34%

35-45 years

8%

11%

8%

8%

18%

10%

Above 45 years

4%

4%

10%

5%

11%

6%

100%

100%

100%

100%

100%

100%

SEC A

25%

31%

24%

18%

33%

26%

SEC B

33%

28%

33%

26%

32%

31%

SEC C

20%

28%

24%

33%

20%

23%

SEC D

16%

10%

11%

11%

8%

13%

SEC E

6%

2%

9%

11%

7%

7%

100%

100%

100%

100%

100%

100%

North

21%

16%

21%

22%

21%

20%

East

13%

6%

9%

9%

10%

11%

South

40%

60%

46%

48%

39%

46%

West

26%

18%

24%

22%

29%

23%

100%

100%

100%

100%

100%

100%

Home

74%

69%

67%

61%

58%

68%

Place of work (office / school / college)

76%

81%

72%

75%

89%

77%

Cyber cafe

49%

46%

48%

51%

39%

47%

9%

11%

7%

8%

11%

9%

Sample Base Gender Male Female

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

176

Table 58: Preferred website for travel products Preferred Website For Travel Products

Makemytrip

Yatra

IRCTC

Google

Yahoo

All Users

1,184

1,134

1,092

766

581

7,089

Male

86%

78%

85%

80%

72%

82%

Female

14%

22%

15%

20%

28%

18%

100%

100%

100%

100%

100%

100%

13-18 years

15%

7%

2%

11%

17%

9%

19-24 years

35%

23%

26%

40%

34%

32%

25-35 years

34%

45%

41%

34%

33%

38%

35-45 years

10%

17%

18%

12%

8%

13%

6%

8%

13%

4%

8%

8%

100%

100%

100%

100%

100%

100%

SEC A

31%

42%

35%

22%

21%

31%

SEC B

29%

33%

34%

27%

34%

31%

SEC C

19%

11%

18%

29%

18%

19%

SEC D

16%

12%

7%

13%

16%

12%

SEC E

6%

3%

6%

9%

11%

6%

100%

100%

100%

100%

100%

100%

North

22%

25%

23%

17%

20%

21%

East

13%

16%

8%

9%

13%

11%

South

42%

33%

41%

52%

42%

42%

West

23%

27%

28%

23%

25%

25%

100%

100%

100%

100%

100%

100%

Home

77%

81%

70%

60%

61%

70%

Place of work (office / school / college)

80%

82%

81%

81%

81%

80%

Cyber cafe

47%

40%

45%

52%

48%

45%

In transit (while traveling)

15%

16%

9%

8%

4%

11%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

177

Table 59: Preferred website for matrimony Preferred website for Matrimony

Bharatmatrimony

Shaadi

Google

Jeevansaathi

Yahoo

All Users

1,935

1,882

374

367

347

6675

Male

81.10%

81.90%

82.50%

76.10%

81.30%

81.70%

Female

18.90%

18.10%

17.50%

23.90%

18.70%

18.30%

100%

100%

100%

100%

100%

100%

13-18 years

7.30%

9.90%

20.30%

3.00%

21.00%

9.50%

19-24 years

34.10%

38.10%

40.00%

35.90%

33.10%

36.60%

25-35 years

40.30%

37.80%

28.50%

50.40%

27.90%

37.40%

35-45 years

9.10%

10.10%

8.40%

8.40%

3.60%

10.10%

Above 45 years

9.20%

4.10%

2.80%

2.30%

14.30%

6.40%

100%

100%

100%

100%

100%

100%

SEC A

29.00%

26.50%

17.00%

32.10%

22.40%

26.20%

SEC B

30.30%

32.30%

23.50%

28.50%

26.10%

30.00%

SEC C

25.60%

20.50%

32.00%

20.90%

19.80%

24.00%

SEC D

11.40%

12.70%

14.50%

14.50%

18.70%

13.30%

SEC E

3.70%

8.00%

13.00%

4.00%

12.90%

6.50%

100%

100%

100%

100%

100%

100%

North

14.70%

27.80%

23.80%

26.20%

23.30%

21.10%

East

8.10%

8.90%

7.60%

8.30%

19.70%

9.20%

South

59.40%

32.20%

46.50%

40.00%

33.70%

46.60%

West

17.80%

31.20%

22.10%

25.40%

23.30%

23.10%

100%

100%

100%

100%

100%

100%

Home

66.30%

68.20%

58.70%

66.00%

65.50%

66.60%

Place of work (office / school / college)

78.70%

77.20%

77.20%

86.80%

80.10%

79.10%

Cyber cafe

51.40%

44.10%

49.70%

47.50%

53.60%

47.90%

9.90%

6.90%

8.90%

4.80%

13.90%

8.30%

206%

196%

195%

205%

213%

202%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

End

178

Table 60: Preferred website for financial news/info Preferred Website For Financial News/Info

Moneycontrol/ CNBC

Google

Yahoo

ICICI Direct/ ICICI Bank

Rediff

All Users

807

801

745

428

385

6,207

Male

87%

81%

79%

91%

84%

86%

Female

13%

19%

21%

9%

16%

15%

100%

100%

100%

100%

100%

100%

13-18 years

3%

12%

16%

1%

9%

8%

19-24 years

24%

48%

34%

35%

31%

34%

25-35 years

47%

30%

31%

44%

42%

37%

35-45 years

17%

8%

10%

10%

11%

13%

Above 45 years

10%

2%

9%

11%

7%

8%

100%

100%

100%

100%

100%

100%

SEC A

41%

18%

21%

38%

27%

30%

SEC B

35%

28%

31%

33%

36%

31%

SEC C

18%

32%

21%

22%

22%

22%

SEC D

4%

13%

16%

6%

10%

12%

SEC E

3%

9%

11%

1%

6%

6%

100%

100%

100%

100%

100%

100%

21%

19%

20%

23%

25%

21%

9%

8%

18%

6%

9%

10%

South

37%

56%

40%

35%

36%

44%

West

33%

17%

22%

37%

31%

25%

100%

100%

100%

100%

100%

100%

Home

78%

58%

70%

77%

61%

69%

Place of work (office / school /

81%

79%

81%

78%

81%

81%

Cyber cafe

35%

49%

51%

45%

52%

46%

In transit (while traveling)

13%

7%

14%

10%

7%

11%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

179

Table 61: Preferred website for cinema Preferred Website For Cinema

Yahoo

Google

Bollywood

PVR Cinemas

Indiafm

All Users

764

626

365

344

310

6,883

Male

75%

80%

84%

85%

90%

82%

Female

26%

20%

16%

15%

10%

18%

100%

100%

100%

100%

100%

100%

13-18 years

25%

12%

10%

7%

15%

14%

19-24 years

33%

42%

42%

37%

48%

39%

25-35 years

27%

32%

35%

47%

34%

34%

35-45 years

8%

9%

12%

8%

3%

9%

Above 45 years

8%

4%

1%

2%

0.3%

5%

100%

100%

100%

100%

100%

100%

SEC A

17%

24%

21%

35%

24%

25%

SEC B

33%

23%

26%

38%

42%

31%

SEC C

18%

30%

27%

14%

13%

23%

SEC D

23%

13%

18%

12%

16%

15%

SEC E

10%

11%

8%

2%

5%

7%

100%

100%

100%

100%

100%

100%

North

20%

21%

25%

41%

24%

20%

East

20%

12%

9%

0.8%

21%

10%

South

38%

45%

40%

42%

16%

48%

West

23%

22%

26%

17%

39%

23%

100%

100%

100%

100%

100%

100%

Home

66%

60%

68%

75%

75%

69%

Place of work (office / school / college)

77%

79%

77%

88%

71%

77%

Cyber cafe

49%

57%

48%

40%

54%

47%

9%

9%

5%

12%

7%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

180

Table 62: Preferred website for online share/stock trading Preferred Website For Online Share/Stock Trading

ICICI Direct

Sherkhan

Indiabulls

Kotaksecurities

Religare

All Users

564

340

104

62

55

1,558

Male

89%

85%

94%

93%

81%

89%

Female

11%

15%

6%

8%

19%

11%

100%

100%

100%

100%

100%

100%

13-18 years

1%

3%

0.0%

4%

2%

3%

19-24 years

14%

26%

21%

18%

27%

19%

25-35 years

52%

43%

58%

42%

26%

45%

35-45 years

17%

15%

17%

12%

3%

16%

Above 45 years

17%

14%

4%

24%

43%

17%

100%

100%

100%

100%

100%

100%

SEC A

53%

48%

53%

32%

28%

47%

SEC B

29%

33%

31%

34%

10%

32%

SEC C

12%

13%

13%

21%

48%

14%

SEC D

5%

3%

0.8%

13%

14%

6%

SEC E

1%

4%

3%

0.0%

0.7%

3%

100%

100%

100%

100%

100%

100%

26%

21%

36%

12%

22%

24%

8%

6%

10%

14%

7%

9%

South

37%

32%

34%

38%

53%

36%

West

29%

41%

20%

36%

19%

32%

100%

100%

100%

100%

100%

100%

Home

86%

83%

80%

89%

100%

85%

Place of work (office / school / college)

82%

90%

90%

81%

60%

83%

Cyber cafe

40%

43%

45%

28%

31%

39%

In transit (while traveling)

17%

20%

12%

15%

13%

17%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

181

Table 63: Preferred website for games Preferred Website For Games

Yahoo

Zapak

Google

Games

Miniclip

All Users

1,314

1,277

650

495

303

7,383

Male

76%

87%

78%

79%

86%

82%

Female

24%

13%

22%

21%

14%

18%

100%

100%

100%

100%

100%

100%

13-18 years

10%

21%

9%

12%

27%

15%

19-24 years

32%

45%

43%

48%

38%

39%

25-35 years

40%

26%

35%

29%

22%

32%

35-45 years

10%

7%

8%

8%

10%

10%

8%

2%

6%

2%

3%

5%

100%

100%

100%

100%

100%

100%

SEC A

26%

22%

20%

20%

25%

24%

SEC B

33%

32%

27%

29%

27%

31%

SEC C

21%

22%

32%

24%

19%

23%

SEC D

14%

15%

13%

20%

16%

15%

SEC E

7%

9%

8%

6%

14%

8%

100%

100%

100%

100%

100%

100%

North

20%

25%

19%

16%

20%

21%

East

10%

10%

8%

5%

15%

10%

South

44%

36%

51%

55%

47%

45%

West

26%

30%

22%

24%

18%

24%

100%

100%

100%

100%

100%

100%

Home

68%

73%

57%

63%

82%

70%

Place of work (office / school / college)

77%

71%

78%

73%

71%

74%

Cyber cafe

46%

47%

60%

42%

48%

47%

7%

9%

6%

5%

11%

8%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

182

Table 64: Preferred website for online shopping Preferred Website For Online Shopping

Ebay

Rediff

Google

Yahoo

Indiatimes

All Users

Sample Base

2,498

1,779

574

501

472

7,261

Male

84%

84%

82%

73%

82%

83%

Female

16%

16%

18%

28%

18%

17%

100%

100%

100%

100%

100%

100%

13-18 years

12%

7%

15%

12%

6%

10%

19-24 years

36%

30%

40%

38%

24%

35%

25-35 years

33%

44%

35%

35%

43%

37%

35-45 years

10%

13%

7%

7%

18%

11%

8%

7%

3%

8%

11%

7%

100%

100%

100%

100%

100%

100%

SEC A

33%

29%

19%

19%

43%

29%

SEC B

31%

32%

23%

35%

37%

31%

SEC C

19%

24%

33%

23%

11%

22%

SEC D

14%

11%

14%

9%

5%

13%

SEC E

3%

5%

11%

13%

4%

6%

100%

100%

100%

100%

100%

100%

North

21%

22%

20%

20%

29%

21%

East

10%

10%

10%

9%

12%

10%

South

44%

42%

53%

47%

30%

44%

West

26%

26%

18%

23%

30%

25%

100%

100%

100%

100%

100%

100%

Home

78%

66%

57%

68%

72%

71%

Place of work (office / school / college)

76%

81%

81%

76%

86%

79%

Cyber cafe

48%

49%

54%

43%

46%

46%

In transit (while traveling)

13%

9%

8%

4%

14%

10%

Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

183

Table 65: Preferred website for online news Preferred Website For Online News

Yahoo

NDTV

Rediff

Google

Indiatimes

All Users

1,183

1,013

808

723

604

8,509

Male

75%

82%

80%

81%

86%

82%

Female

25%

18%

20%

19%

15%

18%

100%

100%

100%

100%

100%

100%

13-18 years

16%

11%

5%

16%

5%

11%

19-24 years

40%

23%

28%

44%

36%

34%

25-35 years

25%

42%

43%

28%

34%

35%

35-45 years

10%

16%

15%

8%

13%

12%

9%

9%

10%

5%

11%

8%

100%

100%

100%

100%

100%

100%

SEC A

22%

38%

35%

24%

36%

28%

SEC B

32%

32%

31%

29%

32%

30%

SEC C

27%

16%

23%

24%

15%

22%

SEC D

13%

10%

6%

11%

12%

13%

SEC E

7%

4%

5%

11%

5%

6%

100%

100%

100%

100%

100%

100%

19%

22%

20%

21%

24%

20%

9%

9%

12%

10%

14%

10%

South

51%

46%

38%

47%

27%

46%

West

22%

22%

30%

23%

35%

24%

100%

100%

100%

100%

100%

100%

Home

71%

71%

67%

63%

71%

69%

Place of work (office / school / college)

72%

79%

85%

81%

76%

78%

Cyber cafe

49%

38%

43%

47%

45%

45%

7%

9%

12%

10%

10%

9%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

184

Table 66: Preferred website for friendship/dating Preferred Website For Friendship/Dating

Orkut

Yahoo

Google

Rediff

Fropper

All Users

Sample Base

2,522

1,636

538

460

213

7,084

Male

85%

80%

81%

85%

84%

84%

Female

15%

20%

19%

15%

17%

16%

100%

100%

100%

100%

100%

100%

13-18 years

18%

13%

12%

12%

9%

14%

19-24 years

54%

36%

34%

23%

29%

41%

25-35 years

25%

34%

39%

44%

44%

32%

35-45 years

3%

10%

9%

15%

12%

9%

Above 45 years

1%

8%

5%

7%

5%

5%

100%

100%

100%

100%

100%

100%

SEC A

24%

22%

22%

26%

27%

24%

SEC B

31%

32%

25%

36%

43%

31%

SEC C

22%

23%

35%

20%

15%

23%

SEC D

16%

16%

12%

11%

7%

15%

SEC E

7%

7%

7%

8%

9%

7%

100%

100%

100%

100%

100%

100%

North

20%

21%

21%

23%

26%

21%

East

11%

11%

6%

11%

5%

10%

South

42%

47%

52%

41%

37%

44%

West

28%

22%

22%

26%

32%

24%

100%

100%

100%

100%

100%

100%

Home

77%

66%

55%

60%

66%

69%

Place of work (office / school / college)

68%

75%

85%

88%

78%

75%

Cyber cafe

50%

52%

52%

48%

54%

49%

8%

10%

8%

10%

8%

8%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

185

Table 67: Preferred website for music Preferred Website For Music

Raaga

Yahoo

Google

Cooltoad

Musicindiaonline

All Users

Sample Base

1,808

782

570

399

350

8,142

Male

82%

78%

74%

80%

78%

80%

Female

18%

22%

26%

20%

22%

20%

100%

100%

100%

100%

100%

100%

13-18 years

14%

14%

20%

15%

9%

14%

19-24 years

42%

37%

39%

39%

27%

39%

25-35 years

34%

31%

29%

42%

33%

32%

35-45 years

7%

9%

9%

2%

24%

9%

Above 45 years

3%

10%

4%

2%

7%

6%

100%

100%

100%

100%

100%

100%

SEC A

26%

24%

19%

33%

26%

25%

SEC B

30%

34%

22%

30%

29%

30%

SEC C

25%

20%

31%

23%

20%

23%

SEC D

15%

16%

17%

9%

18%

15%

SEC E

5%

7%

11%

6%

7%

7%

100%

100%

100%

100%

100%

100%

15%

22%

25%

31%

15%

21%

7%

10%

17%

6%

20%

10%

South

62%

44%

42%

30%

45%

46%

West

17%

25%

17%

33%

19%

23%

100%

100%

100%

100%

100%

100%

Home

69%

68%

53%

82%

77%

71%

Place of work (office / school / college)

71%

75%

80%

69%

83%

74%

Cyber cafe

47%

49%

48%

44%

42%

46%

6%

8%

5%

12%

7%

8%

Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

186

Table 68: Preferred info search engine local language Preferred Info Search Engine Local Language

Google

Manoramaonline

Guruji

Webduniya

Kerala

All Users

2,855

66

66

50

50

3,853

Male

84%

72%

92%

79%

72%

84%

Female

16%

28%

8%

21%

28%

16%

100%

100%

100%

100%

100%

100%

13-18 years

13%

5%

7%

0.0%

0.0%

11%

19-24 years

42%

15%

58%

29%

14%

39%

25-35 years

33%

44%

25%

46%

19%

35%

35-45 years

9%

28%

9%

23%

38%

11%

Above 45 years

3%

8%

1%

2%

29%

5%

100%

100%

100%

100%

100%

100%

SEC A

25%

19%

20%

32%

15%

27%

SEC B

29%

44%

21%

41%

15%

29%

SEC C

23%

20%

58%

2%

41%

24%

SEC D

16%

12%

2%

5%

29%

14%

SEC E

7%

5%

0.0%

20%

0.0%

7%

100%

100%

100%

100%

100%

100%

24%

0.5%

22%

39%

1%

21%

9%

0.0%

2%

0.9%

0.0%

9%

South

43%

89%

49%

6%

98%

47%

West

24%

11%

28%

54%

0.4%

23%

100%

100%

100%

100%

100%

100%

Home

68%

60%

49%

73%

93%

68%

Place of work (office / school / college)

78%

88%

88%

85%

98%

79%

Cyber cafe

49%

36%

28%

47%

10%

46%

9%

2%

8%

14%

28%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

187

Table 69: Preferred website for real estate Preferred Website For Real Estate

Google

Magicbricks

Yahoo

99acres

Realestates

All Users

892

739

698

528

518

5,129

Male

81%

86%

81%

89%

84%

84%

Female

19%

14%

19%

11%

16%

16%

100%

100%

100%

100%

100%

100%

13-18 years

13%

7%

18%

8%

11%

10%

19-24 years

45%

30%

35%

25%

48%

35%

25-35 years

30%

40%

31%

44%

30%

37%

35-45 years

8%

16%

7%

15%

8%

12%

Above 45 years

4%

7%

9%

8%

2%

7%

100%

100%

100%

100%

100%

100%

SEC A

20%

37%

20%

39%

27%

28%

SEC B

27%

29%

30%

35%

29%

30%

SEC C

32%

19%

23%

14%

25%

22%

SEC D

11%

10%

17%

10%

15%

14%

SEC E

10%

5%

10%

2%

5%

6%

100%

100%

100%

100%

100%

100%

20%

24%

20%

24%

20%

21%

8%

8%

15%

10%

7%

10%

South

48%

39%

40%

41%

55%

46%

West

24%

29%

25%

25%

17%

24%

100%

100%

100%

100%

100%

100%

Home

61%

74%

64%

80%

59%

67%

Place of work (office / school / college)

78%

83%

80%

77%

74%

81%

Cyber cafe

53%

46%

53%

43%

50%

49%

7%

13%

10%

12%

7%

10%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

188

Table 70: Preferred info search engine English Preferred Info Search Engine English

Google

Yahoo

English

Rediff

Wikipedia

All Users

5,913

756

236

181

102

7,874

Male

84%

82%

83%

84%

71%

83%

Female

16%

18%

17%

16%

29%

17%

100%

100%

100%

100%

100%

100%

13-18 years

11%

19%

7%

7%

11%

11%

19-24 years

36%

27%

50%

27%

55%

36%

25-35 years

35%

26%

33%

44%

21%

34%

35-45 years

11%

12%

7%

15%

4%

11%

7%

16%

3%

6%

9%

8%

100%

100%

100%

100%

100%

100%

SEC A

31%

19%

24%

18%

30%

29%

SEC B

31%

32%

33%

40%

30%

31%

SEC C

21%

22%

26%

18%

13%

21%

SEC D

12%

17%

13%

15%

23%

13%

SEC E

5%

11%

4%

8%

4%

6%

100%

100%

100%

100%

100%

100%

North

22%

20%

16%

24%

16%

21%

East

10%

13%

12%

9%

4%

10%

South

43%

44%

49%

41%

66%

45%

West

26%

23%

24%

27%

14%

25%

100%

100%

100%

100%

100%

100%

Home

72%

69%

51%

46%

83%

71%

Place of work (office / school / college)

76%

75%

85%

84%

79%

76%

Cyber cafe

47%

46%

42%

49%

58%

46%

In transit (while traveling)

10%

12%

5%

5%

10%

10%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

189

Table 71: Preferred website for instant messaging Preferred Website For Instant Messaging

Yahoo

Google Talk

Rediffbol

MSN

Orkut

All Users

5,412

1,183

889

466

224

8,632

Male

81%

77%

82%

75%

78%

80%

Female

20%

23%

18%

25%

23%

20%

100%

100%

100%

100%

100%

100%

13-18 years

14%

10%

9%

5%

30%

13%

19-24 years

40%

43%

33%

16%

52%

38%

25-35 years

31%

36%

39%

46%

15%

33%

35-45 years

9%

7%

13%

22%

3%

10%

Above 45 years

7%

3%

6%

12%

0.1%

6%

100%

100%

100%

100%

100%

100%

SEC A

25%

32%

23%

32%

23%

26%

SEC B

32%

28%

34%

34%

31%

31%

SEC C

22%

23%

23%

21%

31%

23%

SEC D

14%

13%

13%

8%

10%

14%

SEC E

7%

5%

7%

6%

6%

7%

100%

100%

100%

100%

100%

100%

21%

21%

24%

17%

34%

21%

8%

10%

14%

7%

11%

9%

South

47%

48%

34%

42%

35%

45%

West

24%

22%

28%

35%

20%

24%

100%

100%

100%

100%

100%

100%

Home

74%

65%

57%

77%

81%

71%

Place of work (office / school / college)

70%

81%

80%

76%

51%

73%

Cyber cafe

48%

47%

51%

33%

41%

46%

9%

8%

5%

16%

2%

8%

Sample Base Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

190

Table 72: Preferred website for social networking/communities Preferred Website For Social Networking/Communities

Orkut

Yahoo

MSN

Friends

Communities

All Users

Sample Base

2,095

514

46

40

33

5,227

Male

81%

80%

81%

100%

76%

82%

Female

19%

20%

19%

0.0%

24%

18%

100%

100%

100%

100%

100%

100%

13-18 years

14%

14%

2%

0.3%

12%

13%

19-24 years

48%

26%

10%

6%

47%

41%

25-35 years

30%

36%

59%

27%

24%

32%

35-45 years

6%

14%

17%

66%

16%

9%

Above 45 years

3%

9%

12%

1%

2%

5%

100%

100%

100%

100%

100%

100%

SEC A

29%

27%

32%

12%

22%

28%

SEC B

30%

26%

30%

7%

44%

30%

SEC C

24%

18%

30%

17%

24%

23%

SEC D

11%

18%

6%

65%

8%

13%

SEC E

5%

11%

2%

0.0%

3%

6%

100%

100%

100%

100%

100%

100%

24%

20%

23%

6%

9%

23%

9%

12%

7%

66%

17%

10%

South

42%

42%

48%

20%

48%

43%

West

25%

26%

21%

8%

26%

24%

100%

100%

100%

100%

100%

100%

Home

75%

71%

76%

87%

51%

74%

Place of work (office / school / college)

76%

79%

59%

88%

83%

77%

Cyber cafe

49%

49%

25%

27%

49%

47%

9%

13%

8%

0.4%

14%

10%

Gender

Age Group

Socio Economic Classification

Region North East

Point of Access

In transit (while traveling)

191

Table 73: Preferred website for astrology Preferred Website For Astrology

Yahoo

Astrology

Google

Rediff

Indiatimes astrospeak

All Users

1,392

1,182

712

585

496

6,357

Male

72%

76%

80%

83%

80%

76%

Female

28%

24%

20%

18%

20%

24%

100%

100%

100%

100%

100%

100%

13-18 years

20%

11%

11%

4%

6%

11%

19-24 years

37%

45%

51%

24%

28%

36%

25-35 years

27%

34%

27%

46%

42%

35%

35-45 years

8%

7%

7%

20%

15%

12%

Above 45 years

7%

4%

4%

6%

9%

7%

100%

100%

100%

100%

100%

100%

SEC A

22%

23%

22%

30%

41%

26%

SEC B

29%

33%

29%

33%

34%

31%

SEC C

24%

26%

31%

19%

14%

23%

SEC D

17%

13%

10%

13%

7%

13%

SEC E

8%

5%

9%

5%

5%

7%

100%

100%

100%

100%

100%

100%

North

23%

21%

19%

21%

30%

22%

East

14%

6%

9%

12%

12%

11%

South

39%

53%

50%

39%

24%

44%

West

24%

21%

22%

28%

34%

23%

100%

100%

100%

100%

100%

100%

Home

70%

63%

60%

58%

74%

67%

Place of work (office / school / college)

76%

75%

77%

83%

79%

78%

Cyber cafe

46%

45%

50%

50%

40%

46%

8%

7%

7%

9%

10%

8%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

192

Table 74: Preferred website for online learning/education Preferred Website For Online Learning/Education

Google

Yahoo

Wikipedia

Rediff

Education

All Users

2,214

651

375

269

210

6,571

Male

73%

82%

83%

84%

89%

80%

Female

27%

19%

17%

16%

11%

20%

100%

100%

100%

100%

100%

100%

13-18 years

12%

19%

14%

4%

16%

13%

19-24 years

44%

30%

51%

19%

38%

39%

25-35 years

30%

35%

22%

54%

31%

33%

35-45 years

9%

10%

6%

15%

8%

10%

Above 45 years

6%

7%

7%

8%

8%

6%

100%

100%

100%

100%

100%

100%

SEC A

29%

20%

38%

27%

28%

28%

SEC B

29%

29%

30%

42%

28%

31%

SEC C

23%

22%

14%

18%

23%

21%

SEC D

12%

20%

11%

8%

12%

13%

SEC E

7%

10%

7%

4%

9%

7%

100%

100%

100%

100%

100%

100%

North

21%

21%

20%

20%

25%

22%

East

11%

15%

8%

9%

17%

11%

South

45%

38%

44%

37%

36%

44%

West

23%

25%

28%

34%

23%

24%

100%

100%

100%

100%

100%

100%

Home

68%

69%

84%

58%

57%

69%

Place of work (office / school / college)

76%

79%

80%

89%

81%

77%

Cyber cafe

51%

45%

48%

48%

39%

48%

7%

13%

15%

10%

8%

9%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

193

Table 75: Preferred blog sites Preferred Blog Sites

Google

Yahoo

Blogger

Blogspot

Rediff

All Users

393

341

202

198

193

1,853

92%

85%

79%

82%

82%

86%

8%

15%

21%

18%

18%

14%

100%

100%

100%

100%

100%

100%

13-18 years

12%

15%

11%

5%

3%

12%

19-24 years

51%

38%

37%

33%

32%

40%

25-35 years

31%

32%

39%

50%

46%

34%

35-45 years

4%

10%

6%

8%

11%

9%

Above 45 years

2%

5%

6%

5%

7%

5%

100%

100%

100%

100%

100%

100%

SEC A

28%

18%

47%

50%

30%

28%

SEC B

23%

34%

26%

23%

30%

29%

SEC C

26%

23%

15%

20%

23%

21%

SEC D

19%

15%

8%

6%

11%

15%

SEC E

5%

10%

5%

0.6%

6%

6%

100%

100%

100%

100%

100%

100%

19%

19%

26%

14%

22%

20%

6%

6%

11%

12%

12%

11%

South

52%

43%

36%

50%

36%

42%

West

23%

32%

27%

25%

30%

27%

100%

100%

100%

100%

100%

100%

Home

67%

66%

85%

80%

56%

71%

Place of work (office / school / college)

80%

80%

79%

74%

90%

79%

Cyber cafe

48%

49%

40%

50%

53%

49%

In transit (while traveling)

10%

6%

12%

21%

8%

12%

Sample Base Gender Male Female

Age Group

Socio Economic Classification

Region North East

Point of Access

194

Table 76: Most used local language website Other Language Frequented By Internet Users

Hindi

Tamil

Marathi

Telugu

Malayalam

All Users

323

252

180

150

162

1,388

Male

90%

82%

73%

88%

85%

84%

Female

10%

18%

27%

12%

15%

16%

100%

100%

100%

100%

100%

100%

13-18 years

7%

7%

5%

3%

13%

7%

19-24 years

36%

22%

28%

35%

24%

28%

25-35 years

43%

42%

41%

42%

38%

41%

35-45 years

10%

16%

20%

16%

21%

17%

5%

14%

6%

5%

4%

8%

100%

100%

100%

100%

100%

100%

SEC A

25%

22%

25%

28%

20%

25%

SEC B

32%

26%

34%

29%

23%

30%

SEC C

21%

37%

26%

33%

40%

29%

SEC D

14%

10%

10%

9%

17%

12%

SEC E

8%

5%

4%

2%

1%

5%

100%

100%

100%

100%

100%

100%

56%

2%

0.0%

1%

5%

15%

East

6%

0.9%

0.0%

1%

1%

7%

South

6%

93%

2%

95%

81%

52%

West

32%

4%

98%

3%

12%

26%

100%

100%

100%

100%

100%

100%

Home

55%

60%

47%

48%

71%

58%

Place of work (office / school / college)

86%

80%

87%

87%

82%

83%

Cyber cafe

47%

46%

52%

51%

56%

49%

6%

7%

6%

6%

4%

6%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region North

Point of Access

In transit (while traveling)

195

Table 77: Most preferred TV channel Most Preferred TV Channel

Star Plus

Discovery

NDTV

Aajtak

Sun TV

All Users

1,573

910

632

653

566

12,631

Male

63%

88%

87%

93%

72%

79%

Female

37%

13%

13%

8%

28%

21%

100%

100%

100%

100%

100%

100%

13-18 years

16%

13%

6%

6%

9%

12%

19-24 years

35%

40%

26%

26%

25%

35%

25-35 years

27%

34%

33%

45%

36%

34%

35-45 years

16%

9%

19%

15%

18%

11%

7%

5%

15%

9%

11%

8%

100%

100%

100%

100%

100%

100%

SEC A

25%

23%

40%

33%

24%

26%

SEC B

29%

39%

30%

27%

32%

32%

SEC C

19%

22%

22%

24%

30%

22%

SEC D

21%

10%

6%

9%

12%

14%

SEC E

7%

6%

2%

6%

3%

7%

100%

100%

100%

100%

100%

100%

North

28%

36%

15%

38%

1%

22%

East

18%

8%

11%

16%

0.0%

10%

South

23%

21%

54%

17%

95%

44%

West

32%

35%

19%

29%

4%

25%

100%

100%

100%

100%

100%

100%

Home

67%

72%

71%

60%

61%

67%

Place of work (office / school / college)

71%

71%

74%

83%

78%

73%

Cyber cafe

38%

50%

37%

39%

36%

44%

4%

9%

8%

6%

7%

7%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

196

Table 78: Most preferred newspaper The Times of India

The Hindu

The Hindustan Times

Deccan Chronicle

Eenadu

All Users

4,818

1,733

964

430

311

12,762

Male

79%

77%

76%

79%

79%

78%

Female

21%

23%

24%

21%

21%

22%

100%

100%

100%

100%

100%

100%

13-18 years

12%

17%

17%

12%

6%

13%

19-24 years

33%

39%

35%

40%

39%

34%

25-35 years

36%

27%

30%

29%

40%

34%

35-45 years

11%

9%

11%

11%

13%

11%

8%

9%

7%

8%

2%

8%

100%

100%

100%

100%

100%

100%

SEC A

32%

28%

30%

18%

16%

27%

SEC B

33%

28%

32%

24%

31%

31%

SEC C

18%

28%

16%

32%

38%

22%

SEC D

12%

13%

12%

19%

13%

14%

SEC E

6%

3%

11%

7%

2%

6%

100%

100%

100%

100%

100%

100%

North

29%

3%

76%

0.0%

0.0%

22%

East

12%

2%

4%

0.0%

0.0%

10%

South

26%

94%

1%

100%

98%

44%

West

33%

2%

19%

0.1%

2%

25%

100%

100%

100%

100%

100%

100%

Home

69%

72%

70%

65%

51%

67%

Place of work (office / school /

74%

67%

76%

70%

78%

73%

Cyber cafe

48%

42%

44%

53%

39%

45%

9%

6%

8%

7%

4%

7%

Most Preferred Newspaper Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

197

Table 79: Most preferred magazine Most Preferred Magazine

India Today

Reader's Digest

The Week

Sports Star

Femina

All Users

2,829

748

467

349

396

10,515

Male

88%

67%

86%

91%

23%

78%

Female

13%

33%

14%

10%

77%

22%

100%

100%

100%

100%

100%

100%

13-18 years

9%

12%

12%

22%

6%

11%

19-24 years

29%

26%

31%

51%

40%

33%

25-35 years

37%

29%

30%

18%

39%

35%

35-45 years

15%

18%

15%

7%

6%

13%

9%

16%

13%

2%

9%

8%

100%

100%

100%

100%

100%

100%

SEC A

31%

39%

33%

20%

32%

28%

SEC B

32%

33%

33%

25%

32%

32%

SEC C

21%

15%

21%

27%

21%

21%

SEC D

9%

9%

13%

21%

9%

13%

SEC E

6%

5%

0.9%

8%

6%

6%

100%

100%

100%

100%

100%

100%

North

32%

22%

5%

10%

26%

22%

East

11%

9%

4%

4%

6%

11%

South

36%

44%

84%

74%

32%

44%

West

21%

25%

7%

13%

36%

24%

100%

100%

100%

100%

100%

100%

Home

66%

75%

72%

64%

78%

69%

Place of work (office / school / college)

77%

70%

77%

67%

60%

74%

Cyber cafe

44%

45%

55%

49%

35%

45%

8%

12%

10%

5%

3%

8%

Sample Base Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

198

Table 80: Most preferred radio channel Most Preferred Radio Channel

Radio Mirchi

Red FM

AIR

Radio City

Suryan FM

All Users

3,124

1,001

919

845

444

8,205

Male

80%

77%

82%

78%

81%

79%

Female

20%

23%

18%

22%

20%

21%

100%

100%

100%

100%

100%

100%

13-18 years

9%

15%

6%

14%

21%

11%

19-24 years

39%

40%

25%

39%

35%

37%

25-35 years

36%

32%

32%

34%

29%

34%

35-45 years

9%

8%

21%

9%

11%

10%

Above 45 years

7%

4%

16%

5%

4%

7%

100%

100%

100%

100%

100%

100%

SEC A

28%

25%

29%

28%

18%

28%

SEC B

33%

28%

33%

37%

25%

32%

SEC C

21%

23%

25%

17%

34%

22%

SEC D

11%

15%

10%

14%

17%

12%

SEC E

7%

9%

3%

5%

7%

6%

100%

100%

100%

100%

100%

100%

North

19%

31%

14%

31%

2%

23%

East

10%

15%

8%

1%

0.2%

9%

South

36%

22%

44%

50%

97%

40%

West

34%

33%

34%

18%

0.4%

27%

100%

100%

100%

100%

100%

100%

Home

68%

67%

61%

74%

54%

67%

Place of work (office / school / college)

75%

78%

75%

72%

75%

75%

Cyber cafe

49%

44%

45%

47%

43%

47%

8%

7%

8%

10%

3%

8%

Sample Base Gender

Age Group

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

199

Table 81: Response to online marketing stimulus Response To Online Marketing Stimulus

Clicked a sponsored search ad

Clicked a banner ad

Clicked a product/service emailer

Participated in an online contest

Bid/Bought in an Online auction

Bought in a special promotion / deal

None of the above

All Users

Sample Base

4,023

5,095

1,476

4,621

2,467

2,318

2,896

10,888

Male

85%

82%

88%

84%

85%

86%

79%

82%

Female

15%

18%

12%

16%

15%

14%

21%

19%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

9%

11%

6%

9%

8%

7%

12%

10%

19-24 years

29%

31%

25%

30%

31%

28%

35%

32%

25-35 years

37%

38%

41%

38%

40%

38%

35%

37%

35-45 years

14%

13%

16%

13%

12%

14%

12%

13%

Above 45

11%

8%

13%

10%

9%

12%

7%

9%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

32%

30%

35%

32%

30%

33%

20%

27%

SEC B

32%

32%

33%

32%

34%

32%

29%

32%

SEC C

20%

19%

19%

19%

21%

20%

28%

22%

SEC D

11%

13%

10%

12%

11%

11%

15%

13%

SEC E

5%

5%

3%

5%

5%

5%

8%

6%

100%

100%

100%

100%

100%

100%

100%

100%

North

22%

22%

19%

21%

24%

19%

21%

22%

East

11%

12%

14%

11%

11%

11%

12%

11%

South

42%

40%

41%

42%

37%

42%

43%

42%

West

26%

26%

27%

27%

28%

28%

25%

26%

100%

100%

100%

100%

100%

100%

100%

100%

Home

72%

67%

74%

71%

70%

71%

56%

64%

Place of work (office / school / college)

77%

77%

84%

78%

82%

80%

74%

77%

Cyber cafe

51%

51%

49%

51%

52%

52%

44%

48%

In transit

10%

9%

15%

10%

13%

12%

4%

7%

Gender

Age Group

Socio Economic Classification

Region

Point of Access

200

Table 82: Top of mind recall for brands Top Of Mind Recall For Brands

Sony

Nokia

Tata

LG

Colgate

Reliance

HLL

Nike

Samsung

Pepsi

All Users

Sample Base

1,779

1,645

1,219

977

753

720

643

667

598

424

24,288

Male

87%

83%

86%

77%

87%

89%

80%

84%

75%

85%

82%

Female

13%

17%

14%

23%

13%

11%

21%

16%

25%

15%

18%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

13-18 years

8%

12%

5%

9%

4%

6%

4%

19%

11%

15%

11%

19-24 years

27%

38%

27%

25%

16%

28%

22%

49%

24%

29%

31%

25-35 years

41%

36%

38%

38%

36%

41%

47%

29%

39%

42%

36%

35-45 years

15%

8%

17%

19%

24%

16%

20%

2%

14%

9%

13%

9%

6%

12%

9%

20%

10%

7%

2%

12%

6%

9%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

SEC A

26%

23%

31%

23%

31%

28%

23%

20%

24%

28%

25%

SEC B

32%

30%

33%

32%

29%

36%

32%

29%

35%

34%

32%

SEC C

22%

26%

22%

26%

25%

18%

22%

26%

23%

23%

23%

SEC D

14%

15%

10%

13%

11%

13%

17%

16%

11%

7%

14%

SEC E

6%

6%

5%

6%

4%

6%

5%

9%

7%

8%

7%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

North

19%

20%

20%

28%

14%

27%

21%

23%

28%

24%

22%

East

13%

11%

15%

10%

11%

11%

19%

5%

13%

8%

13%

South

47%

42%

37%

41%

42%

31%

44%

43%

43%

36%

40%

West

21%

27%

29%

22%

33%

31%

16%

29%

17%

32%

26%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

100%

Home

67%

62%

52%

62%

56%

54%

52%

69%

68%

66%

59%

Place of work (office / school / college)

78%

75%

82%

81%

76%

80%

85%

69%

70%

81%

78%

Cyber cafe

45%

54%

48%

43%

42%

48%

45%

50%

40%

48%

47%

7%

6%

7%

5%

5%

6%

5%

5%

2%

7%

6%

Gender

Age Group

Above 45 years

Socio Economic Classification

Region

Point of Access

In transit (while traveling)

201

Appendix

202

Table 83: City type classification by population size

REGIONS

CITY TYPE BY POPULATION SIZE

Up to 1,00,000

1,00,001 to 5,00,000

5,00,001 to 10,00,000

Above 10,00,000

North

South

East

West

Others from North India

Others from South India

Others from East India

Goa Others from West India

Dehradun Faridabad Gurgaon Noida Others from North India

Mangalore Secunderabad Others from South India

Assansol Others from East India

Others from West India

Allahabad Amritsar Chandigarh Dhanbad Ghaziabad Jodhpur Ranchi

Coimbatore Kochi Madurai Mysore Thiruvanathapuram Tiruchirapalli Vijayavada Visakhapatanam

Bhubaneswar Cuttack Guwahati Raipur

Aurangabad Indore Jabalpur Rajkot Solapur Vadodara

Agra Delhi Jaipur Kanpur Lucknow Ludhiana Meerut Patna Varanasi

Bangalore Chennai Hyderabad

Kolkata

Ahmadabad Bhopal Mumbai Nagpur Nashik Pune Surat Thane

203

Table 84: City type classification by market size

REGIONS North

South

East

West

Delhi

Bangalore Chennai Coimbatore Hyderabad

Kolkata

Ahmadabad Mumbai Pune Surat

Faridabad Jaipur Kanpur Lucknow Ludhiana Patna

Kochi Madurai

Asansol

Bhopal Thane Indore Nagpur Vadodara

Amritsar Chandigarh Dhanbad Ghaziabad

Thiruvanathapuram Tiruchirapalli Vijayavada Visakhapatanam

Agra Allahabad Dehradun Gurgaon Jodhpur Meerut Noida Ranchi Varanasi Others from North India

Mangalore Mysore Secunderabad Others from South India

CITY TYPE BY MARKET SIZE 7

Metros

Urban Uptowns

Emerging Towns

Others

Guwahati

Bhubaneswar Cuttack Raipur Others from East India

Aurangabad Goa Jabalpur Nashik Rajkot Solapur Others from West India

7

Above segmentation of Indian cities are basis their market size and not by the population size. Market size of a city is calculated basis the total annual household consumption expenditure of all household in that city/district. Total household consumption includes all possible household goods and services that a household usually spends on. For more details refer to ‘Market Skyline of India 2006’ Reports published by Indicus Analytics.

204

Table 85: Socio Economic Classification (SEC) Grid

Chief Wage Earner's 8 Occupation

Chief Wage Earner's Highest Education Illiterate

School (Up to 4 yrs)

School (5-9 yrs)

Secondary / High School

Not Grad.

Grad./ PG (Gen.)

Grad./ PG (Prof.)

Unskilled worker

E

E

E

D

D

D

D

Skilled worker

E

E

D

C

C

B

B

Petty traders

E

D

D

C

C

B

B

Shop owners

D

D

C

B

B

A

A

Businessmen/ industrialists – with no employee

D

C

B

B

A

A

A

Businessmen/ industrialists – with 1 to 9 employee

C

B

B

B

A

A

A

Businessmen/ industrialists – with 10+ employee

B

B

A

A

A

A

A

Self-employed professionals

D

D

D

B

B

A

A

Clerical/ salesmen

D

D

D

C

B

B

B

Supervisor level

D

D

C

C

B

B

A

Officers/ executives (junior)

C

C

C

B

B

A

A

Officers/ executives (middle/ senior)

B

B

B

B

A

A

A

8

Chief Wage Earner is the head of the household who contributes maximum to the monthly household income. It is assumed in Indian marketing and media space that the life style of a household is largely determined by the combination of head of household’s highest level of education and current occupation.

205

Index: Charts Graph 1: Current Status of Internet Usage in Urban India ............... 12 Graph 2: Growth of ‘Regular’ Internet Users .............................. 13 Graph 3: Current Status of Internet Usage by Place of Access .......... 16 Graph 4: Growth of ‘Regular’ Internet Users .............................. 30 Chart 5: Gender breakup ...................................................... 31 Chart 6: Age group distribution .............................................. 32 Chart 7: City Class - by population size ..................................... 33 Chart 8: City class - by market size.......................................... 34 Chart 9: Region-wise break-ups .............................................. 36 Chart 10: Socio economic classification..................................... 38 Chart 11: Highest educational qualification................................ 39 Chart 12: Occupational break up............................................. 40 Chart 13: Function / field of occupation ................................... 41 Chart 14: Head of the household............................................. 42 Chart 15: Monthly family income ............................................ 43 Chart 16: Most expensive vehicle owned by the household.............. 44 Chart 17: Ownership of credit cards (individually)........................ 45 Chart 18: Current loan liabilities............................................. 47 Chart 19: Years of experience in using internet ........................... 48 Chart 20: Place of accessing internet ....................................... 49 Chart 21: Type of internet connection at home ........................... 50 Chart 22: Type of internet connection at office........................... 51 Chart 23: Service provider subscribed to at home ........................ 52 Chart 24: Service provider subscribed to at office ........................ 53 Chart 25: Frequency of accessing internet from home ................... 54 Chart 26: Frequency of accessing internet from office................... 55 Chart 27: Time of the day accessing internet from home ............... 56 Chart 28: Time of the day accessing internet from office ............... 57 Chart 29: Duration of pc usage from home ................................. 58 Chart 30: Duration of internet usage from home.......................... 59 Chart 31: Duration of pc usage vis-à-vis internet usage from home.... 60 Chart 32: Duration of pc usage from office ................................ 61 Chart 33: Duration of internet usage from office ......................... 62 Chart 34: Duration of pc use vis-à-vis internet usage from office ...... 63 Chart 35: Duration of internet usage during weekdays vis-à-vis weekends ........................................................................ 64 Chart 36: Time spent by internet users on watching TV ................. 65 Chart 37: Time spent by internet users on reading newspaper ......... 66 Chart 38: Time spent by internet users on listening to radio ........... 67 Chart 39: Professional activities ............................................. 70 Chart 40: Personal activities.................................................. 71 Chart 41: Downloading activities............................................. 72 Chart 42: E-commerce related activities ................................... 73 Chart 43: Online shopping..................................................... 74 Chart 44: Blogging activities .................................................. 75 Chart 45: Member of an online community................................. 76 Chart 46: Problems faced while surfing the internet ..................... 80 Chart 47: Multiple user shares of email websites ......................... 82 Chart 48: Number of email accounts and average per capita email ids 83 Chart 49: Response to online marketing stimulus ........................ 109

206

Index: Change from Previous Year Graphs Chart 1: Gender breakup ...................................................... 31 Chart 2: Age group distribution .............................................. 32 Chart 3: City class - by market size.......................................... 34 Chart 4: Region-wise break-ups .............................................. 36 Chart 5: Socio economic classification ...................................... 38 Chart 6: Highest educational qualification ................................. 39 Chart 7: Occupational break up .............................................. 40 Chart 8: Function / field of occupation..................................... 41 Chart 9: Head of the household .............................................. 42 Chart 10: Monthly family income ............................................ 43 Chart 11: Most expensive vehicle owned by the household.............. 44 Chart 12: Ownership of credit cards (individually)........................ 45 Chart 13: Years of experience in using internet ........................... 48 Chart 14: Place of accessing internet ....................................... 49 Chart 15: Type of internet connection at home ........................... 50 Chart 16: Type of internet connection at office........................... 51 Chart 17: Service provider subscribed to at home ........................ 52 Chart 18: Service provider subscribed to at office ........................ 53 Chart 19: Frequency of accessing internet from home ................... 54 Chart 20: Frequency of accessing internet from office................... 55 Chart 21: Time of the day accessing internet from home ............... 56 Chart 22: Time of the day accessing internet from office ............... 57 Chart 23: Duration of pc usage from home ................................. 58 Chart 24: Duration of internet usage from home.......................... 59 Chart 25: Duration of pc usage from office ................................ 61 Chart 26: Duration of internet usage from office ......................... 62 Chart 27: Time spent by internet users on watching TV ................. 65 Chart 28: Time spent by internet users on reading newspaper ......... 66 Chart 29: Time spent by internet users on listening to radio ........... 67 Chart 30: Professional activities ............................................. 70 Chart 31: Personal activities.................................................. 71 Chart 32: Downloading activities............................................. 72 Chart 33: E-commerce related activities ................................... 73 Chart 34: Online shopping..................................................... 74 Chart 35: Multiple user shares of email websites ......................... 82 Chart 36: Number of email accounts and average per capita email ids 83 Chart 37: Response to Online Marketing Stimulus ........................ 109

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Index: Tables Table 1: Detailed sample base distribution of the land survey ........... 5 Table 2: Growth in Internet users in urban India .......................... 11 Table 3: Top 10 cities by contribution to Internet user-ship in urban India .............................................................................. 14 Table 4: Ownership of popular household assets among online urban Indians ............................................................................ 15 Table 5: Duration of usage of Internet and offline mediums from home .................................................................................... 17 Table 6: Popularity of online activities (Top 10) .......................... 18 Table 7: Online activities that gained maximum popularity............. 18 Table 8: Overall popularity of websites (Top 10).......................... 20 Table 9: Most popular websites for specific online activities ........... 20 Table 10: A comparative view of the internet using population estimates......................................................................... 24 Table 11: Estimated Internet user-ship growth and penetration ....... 30 Table 12: Top 10 cities ........................................................ 35 Table 13: Preferred language of reading ................................... 37 Table 14: Household asset ownership ....................................... 46 Table 15: Popularity of various internet activities ........................ 68 Table 16: Membership by type of online community ..................... 77 Table 17: Most used local language websites (other than English) ..... 78 Table 18: Online activities desired in other languages ................... 79 Table 19: Preferred websites - emailing .................................... 81 Table 20: Top of mind unaided recall - all websites ...................... 84 Table 21: Most used website - all websites................................. 85 Table 22: Info search (English) ............................................... 86 Table 23: Info search (local language) ...................................... 87 Table 24: Job search ........................................................... 88 Table 25: Booking travel tickets ............................................. 89 Table 26: Online shopping (other than travel tickets).................... 90 Table 27: Online news ......................................................... 91 Table 28: Financial news & info (rate, quote & etc.) .................... 92 Table 29: Online share trading ............................................... 93 Table 30: Real estate info..................................................... 94 Table 31: Matrimonial search................................................. 95 Table 32: Dating/friendship search.......................................... 96 Table 33: Social networking/communities ................................. 97 Table 34: Online gaming....................................................... 98 Table 35: Download mobile content......................................... 99 Table 36: Download music ................................................... 100 Table 37: Sports content ..................................................... 101 Table 38: Cinema content.................................................... 102 Table 39: Most used local language websites (other than English) .... 103 Table 40: Preferred blog sites ............................................... 104 Table 41: Favorite TV channels ............................................. 105 Table 42: Favorite newspapers .............................................. 106 Table 43: Favorite magazines ............................................... 107 Table 44: Favorite radio channels .......................................... 108 Table 45: Tom recall for brands............................................. 110

Index: Segment wise Detailed Tables Table 1: Gender breakup ..................................................... 112 Table 2: Age group distribution ............................................. 113 Table 3: City class by population size ...................................... 114 Table 4: City class by market size .......................................... 115 Table 5: Top 10 cities ......................................................... 116 Table 6: Region wise break up............................................... 117 Table 7: Preferred language of reading .................................... 118 Table 8: Socio economic classification ..................................... 120 Table 9: Highest educational qualification ................................ 121 Table 11: Occupational break up ........................................... 122 Table 12: Function / field of occupation .................................. 124 Table 13: Head of the household ........................................... 126 Table 14: Monthly family income ........................................... 127 Table 15: Most expensive vehicle owned by the household ............ 128 Table 16: Ownership of credit cards (individually)....................... 129 Table 17: Household asset ownership ...................................... 130 Table 18: Household asset ownership ...................................... 132 Table 19: Current loan liabilities............................................ 134 Table 20: Years of experience in using internet.......................... 135 Table 21: Place of accessing internet ...................................... 136 Table 22: Type of internet connection at home .......................... 137 Table 23: Type of internet connection at office ......................... 138 Table 24: Service provider subscribed to at home ....................... 139 Table 25: Service provider subscribed to at office....................... 140 Table 26: Frequency of accessing internet from home .................. 141 Table 27: Frequency of accessing internet from office ................. 142 Table 28: Time of the day accessing internet from home .............. 143 Table 29: Time of the day accessing internet from office .............. 144 Table 30: Duration of internet usage from home......................... 145 Table 31: Duration of internet usage from office ........................ 146 Table 32: Duration of internet usage during weekdays.................. 147 Table 33: Duration of internet usage during weekends ................. 148 Table 34: Duration of PC usage from home ............................... 149 Table 35: Duration of PC usage from office ............................... 150 Table 36: Time spent by internet users on watching TV ................ 151 Table 37: Time spent by internet users on reading newspaper ........ 152 Table 38: Time spent by internet users on listening to radio .......... 153 Table 39: Professional activities ............................................ 154 Table 40: Personal activities................................................. 155 Table 41: Downloading activities ........................................... 157 Table 42: E-Commerce related activities .................................. 158 Table 43: Online shopping.................................................... 160 Table 44: Blogging activities ................................................. 161 Table 45: Member of an online community ............................... 162 Table 46: Membership by type of online community .................... 163 Table 47: Membership by type of online community .................... 165 Table 48: Usage of other language websites .............................. 167 Table 49: Online activities desired in other languages .................. 168 Table 50: Problems faced while surfing the internet .................... 169 Table 51: Top of mind unaided recall all websites....................... 170 Table 52: Most used website all websites ................................. 171 Table 53: Preferred website for emailing ................................. 172

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Table 54: Multiple user shares of email websites ........................ 173 Table 55: Preferred website for job search ............................... 174 Table 56: Preferred website for mobile content ......................... 175 Table 57: Preferred website for sports .................................... 176 Table 58: Preferred website for travel products ......................... 177 Table 59: Preferred website for matrimony............................... 178 Table 60: Preferred website for financial news/info .................... 179 Table 61: Preferred website for cinema ................................... 180 Table 62: Preferred website for online share/stock trading............ 181 Table 63: Preferred website for games .................................... 182 Table 64: Preferred website for online shopping......................... 183 Table 65: Preferred website for online news ............................. 184 Table 66: Preferred website for friendship/dating ...................... 185 Table 67: Preferred website for music ..................................... 186 Table 68: Preferred info search engine local language.................. 187 Table 69: Preferred website for real estate............................... 188 Table 70: Preferred info search engine English........................... 189 Table 71: Preferred website for instant messaging ...................... 190 Table 72: Preferred website for social networking/communities ..... 191 Table 73: Preferred website for astrology................................. 192 Table 74: Preferred website for online learning/education ............ 193 Table 75: Preferred blog sites ............................................... 194 Table 76: Most used local language website .............................. 195 Table 77: Most preferred TV channel....................................... 196 Table 78: Most preferred newspaper ....................................... 197 Table 79: Most preferred magazine......................................... 198 Table 80: Most preferred radio channel ................................... 199 Table 81: Response to online marketing stimulus ........................ 200 Table 82: Top of mind recall for brands ................................... 201 Table 83: City type classification by population size .................... 203 Table 84: City type classification by market size ........................ 204 Table 85: Socio Economic Classification (SEC) Grid ...................... 205

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