India Online 2008
Main Report
India Online 2008
Main Report
India Online 2008
© copyright JuxtConsult
Main Report
India Online 2008
Table of content India Online 2008 ......................................................... 1 India Online 2008 Reports ............................................... 2 Methodology ............................................................... 4 Executive Summary ...................................................... 9 Estimation of Internet Users in India .................................12 Key Findings ..............................................................18 Detailed Findings: Reading the Graphs & Tables ..........................................35 Demographic Profile ....................................................37 Socio-Economic Profile .................................................46 Economic Profile.........................................................51 Net Usage Status.........................................................56 Net Usage Dynamics.....................................................68 Preferred Net Activities ................................................91 Most Used Websites ................................................... 101 Most Used Offline Media Brands..................................... 146 Offline Brands Recalled .............................................. 155 Segment Wise Detailed Tables ...................................... 158 Appendix ................................................................ 277
Main Report
India Online 2008
India Online 2008 In our endeavor to keep improving the quality of our India Online study, this year we have extended its coverage beyond just urban India and measured and profiled internet usage in the rural India as well. This makes the India Online 2008 estimates of Internet user-ship, as well of its growth and penetration in India, probably one of the most comprehensive in the country. Other improvements made in the study this year involve enhanced coverage of information, especially in the areas of usage from cyber cafés, usage of vernacular language websites and website preferences for 4 new online activity categories, namely, professional networking, sharing pictures, sharing videos and buying/renting movie CD/DVDs online. Like in the previous years, we conducted two large-scale ‘primary’ surveys this year as well - one offline and one online. The offline or ‘land survey’ was done to identify the internet users and non-users in the population. Information collected from this survey was used to estimate Internet user-ship and its growth and penetration in India. The online survey was done to capture the detailed net usage dynamics, behavior and preferences from the actual internet users while they were online. Information collected from this survey was used to gain ‘insightful’ understanding of current net usage behavior and preferences of various kinds of online Indians. The land survey was conducted in March-April 2008 and both its coverage area and sample sizes were significantly higher this year. The extended ‘coverage area’ of the land survey meant including the 5,000 to 20,000 population size towns also (making the survey representative of all possible urban town classes in India) and a representative coverage of rural areas within 15 km distance from these towns. The extended ‘sample sizes’ meant an addition of 2,000 more respondent households in the urban areas and 4,000 new respondent households in the rural areas, taking the total household sample count of land survey to over 16,000. The ‘online’ survey was conducted almost in parallel in April 2008 collecting more than 15,000 in-depth and usable responses for final analysis and reporting. The key information included in the various reports cover the demographic and socio-economic profiles of the net users, their household asset ownerships, place of accessing internet, net usage dynamics, online activities undertaken, website preferences, online buying behavior and spends, response to online marketing stimuli and much more. In sum, what you get in India Online 2008 reports is an insightful understanding of online Indians as ‘consumers’ and not just faceless net users, including their brand (website) preferences for 26 highly popular online activities.
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India Online 2008 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 X
Women on the net Youth on the net (teenagers and young adults) Urban versus Rural net users Net users by their socio-economic (SEC) profile Net users by place of access (homes, place of work, cyber cafes) Net users by type of connection (broadband, dial-up, etc.) Net users by city type (metros, urban uptowns, emerging towns, rest of the towns) Net users by town population size (10 lakhs plus, 5-10 lakhs, 1-5 lakhs, Below 1 lakh) 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 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 / chatting Job search Matrimony Info search – English Travel booking Social networking Professional networking Friendship / dating Sharing pictures Sharing videos Online news Financial info/news
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X X X X X X X X X X X X
Online share trading Net telephony Cinema content Buy / rent movie CD/ DVD Sports content Online music Online games Online real estate Mobile content download Astrology Online education / learning Vernacular language content (by popular Indian languages)
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 Like last year, this year again we conducted both a ‘land’ survey and an ‘online’ survey separately. The focus of the land survey was on identifying the internet users and non-users in the population, capture their demographic and household profile, and thereby estimate the size of the internet user base in India. The focus of the online survey was on capturing the internet user’s net usage details while they are online, and thereby understand their current 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 data processing stage.
The land survey This year’s land survey was conducted and completed between earlyMarch and early-April 2008. The objective of the land survey was two fold. The first objective was to help us estimate the internet user-ship in both urban and rural areas of India, as with a land survey we could cover both the user and non-user population of the internet in a representative way. The second objective was to derive relevant demographic ‘multipliers’ from this survey which could then be applied to the internet usage data collected from the online survey to make that data representative of the entire internet using population in India and not just of those who are more likely to participate in an online survey. In order to derive more comprehensive and authentic estimates of the current user-ship of Internet in India, and draw out an even more representative internet usage behavior patterns in the study, this year we further broadened the scope of our land survey by: X
Increasing the household sample base in the urban areas to 12,500 (from 10,000 last year) and the coverage of the number of cities to 40 (from 31 last year). The distribution of these 40 cities was done ensuring a good spread across the 4 regions of the country and covering all ‘urban town classes’ as defined in the census (right down to 5,000-20,000 population size towns). The list of the 40 selected towns and their regional and town class distribution is displayed in Table 1.
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
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population statistics from authentic govt. Sources (National Sample Survey Organization and Census of India). X
Care was taken that all relevant classes of towns with population size right down to 5,000 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.
X
Lastly, we added another 4,000 household sample base from the rural areas. This sample collection was spread across 160 villages, 4 villages each around the 40 urban towns surveyed. The 4 villages were selected as 2 villages each on either side of the town within 815 km distance. The villages were selected as the first 2 villages within 8-15 km distance before entering the town limits while approaching the town and the first 2 villages within 8-15 km distance after the town limits while leaving the town.
These enhancements and refinements in the sampling methodology ensured that this year we get an even better representation of various types of internet users both in urban as well as rural India. The 40 cities where the land survey was conducted (together with 4 villages each around them) and the size of the sample data collected from each of these cities are as follows:
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Table 1: Detailed sample base distribution of the land survey Region
North
West
East
South
Total
City
City Class
Urban Sample Size
Rural Sample Size
Total Sample Size
Kanpur (UP)
10 lakh +
386
100
486
Ludhiana (Pun)
10 lakh +
299
100
399
Allahabad (UP)
5 lakh – 10 lakh
300
104
404
Ajmer (UP)
1 lakh – 5 lakh
300
100
400
Bhadohi (UP)
50 K – 1 lakh
351
100
451
Muradnagar (UP)
50 K – 1 lakh
300
100
400
Sohna (Har)
20 K – 50 K
307
100
407
Patna (Bih)
10 lakh +
400
100
500
Phillaur (Pun)
20 K – 50 K
303
104
407
Kishangarh (Raj)
5 K – 20 K
300
95
395
Mumbai (Mah)
10 lakh +
249
100
349
Ahmedabad (Guj)
10 lakh +
400
102
502
Pune (Mah)
10 lakh +
397
99
496
Rajkot (Guj)
5 lakh – 10 lakh
300
100
400
Dewas (MP)
1 lakh – 5 lakh
304
97
401
Hinganghat (Mah)
50 K – 1 lakh
295
99
394
Mhowgaon (MP)
20 K – 50 K
300
100
400
Katol (Mah)
20 K – 50 K
298
103
401
Ghogha (Guj)
5 K – 20 K
300
100
400
Bhaurasa (MP)
5 K – 20 K
285
66
351
Kolkata (WB)
10 lakh +
288
100
388
Guwahati (Ass)
5 lakh – 10 lakh
300
100
400
Bhubneshwar (Ori)
5 lakh – 10 lakh
300
97
397
Raniganj (WB)
1 lakh – 5 lakh
304
101
405
Bhatapara (Chat)
50 K – 1 lakh
300
100
400
Dimapur (Nag)
50 K – 1 lakh
305
118
423
Champa (Chat)
20 K – 50 K
300
100
400
Baliari (Jha)
5 K – 20 K
300
82
382
Khusrupur (Bih)
5 K – 20 K
300
99
399
Chennai (TN)
10 lakh +
299
100
399
Bangalore (Kar)
10 lakh +
400
100
500
Hyderabad (AP)
10 lakh +
400
118
518
Vizag (AP)
10 lakh +
400
100
500
Mysore (Kar)
5 lakh – 10 lakh
300
100
400
Kozhikode (Ker)
1 lakh – 5 lakh
295
100
395
Nellore (AP)
1 lakh – 5 lakh
249
84
333
Cheruvannur (Ker)
50 K – 1 lakh
301
95
396
Edapaddi (TN)
20 K – 50 K
192
83
275
Pallavakam
5 K – 20 K
300
100
400
12,507
3,946
16,453
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To check for both the ‘regular’ as well as ‘occasional’ usage of the Internet, at each of the 16,000 households contacted it was queried: X
If any member of the household use the Internet ‘at all’ from anywhere (home or any location outside)? And
X
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, region and type of house lived in case of rural respondents 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 later to be applied to the data collected from the online survey.
The online survey This year’s online survey was conducted and completed between endMarch and early-May 2008. The objective of the online survey was to collect ‘in-depth’ information on the internet usage patterns and other media usage patterns among the various types of net users. This year, the online survey was conducted using the ‘contextual search’ based survey ad campaign on Google (AdSense) and JuxtConsult’s own online consumer panel (www.getcounted.net). As eventually the individual level demographic ‘multipliers’ of the internet users, as ingenerated from the ‘land’ survey, were to be applied to make the data collected online representative of the entire online population in India, the data collected online did not necessarily had to be representative per se. We just needed to ensure (and we did) that enough samples were collected ‘online’ for each of the 60 combinations of the demographic parameters from the urban sample (4 zone X 3 town classes X 5 SEC classes) and 20 combinations of the demographic parameters from the rural sample (4 zone X 5 SEC classes) on which the ‘multipliers’ derived from the land survey was being applied to. 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. The net
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usage behavior and preferences of new phenomena like professional networking, sharing pictures, sharing videos and language content checking were also included. 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 15,875 unduplicated, complete and clean responses were collected from the online survey campaign in about 4 weeks time. All these 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 checked and corrected. Finally, the appropriate weights (multipliers) as derived from the land survey were incorporated into the usable online survey responses to make them ‘representative’ of the entire urban online population. This ensured that online survey findings are ‘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.). 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 2008 study. Note – Because of a deeper and more robust coverage of internet usage among the smaller towns (down to 5,000 population town classes) as well as inclusion of the internet users from the rural areas, this year’s data at the overall India level is not directly comparable to that of the last year. Last year’s findings represented only the urban online Indians up to town size of 20,000 individual population. Yet, to report trends and changes over the last year, while ensuring that we almost compare only apples to apples, we have compared last year’s urban data with that of this year’s urban data only.
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Executive Summary Online user base touching 50 million in India, 1 in 5 users coming from rural areas. The total base of internet users in India stands at 49.4 million currently. 82% of online Indians come from the urban areas and 18% from the rural areas. At these levels, the penetration of internet stands at 4.5% of the total population of India. Within the total base of online Indians, 71% are ‘regular’ internet users (defined as those internet users who use the internet at least once a month), and 57% are ‘daily’ net users (effectively 28.2 million daily internet users). A year of ‘healthy’ growth in urban user base. The overall internet using population in urban India grew by 33% during April 2007 - April 2008 (as compared to 28% in the previous year). More importantly, the added new users are as many ‘regular’ internet users as the ‘occasional’ ones. (4.86 million and 5.16 million respectively). The bulk of regular internet users come from the non-metro towns. After inclusion of the ‘rural’ internet users only 30% of all regular internet users came from the top 8 metro cities. The tier 3 and tier 4 smaller towns and rural areas account for the bulk 52% of the regular online Indian population. Yet, almost 70% of the regular internet users continue to constitute what is perceived as the ‘urban consuming class’ (SEC ‘A’, ‘B’ and ‘C’). Internet user base is increasingly skewing towards the ‘younger’ India. The proportion of ‘under 25’ years age group net users have grown into the ‘majority’ now, accounting for 52% of the total internet user base in Indian. At 44% the 19-24 year age band emerges as the ‘single largest’ age group of regular internet users this year. Online Indians represent the ‘masses’ as well as the ‘classes’. Though 55% of all regular internet users have monthly household income of less than Rs.10,000, automobile ownership among them is as high as 64%. 51% of them work as ‘salaried’ employees in the corporate world and 52% of them have taken up a ‘loan’ of some kind. 72% of them have personal computers or laptops at home. ‘Home’ emerges as the most preferred place of accessing internet. Almost half of the regular internet users (46%) access the net from more than one place of access. On multiple access, place of work still continues to be the single largest place for accessing internet at 60%. However when it comes to the ‘single most preferred’ place of accessing internet, 41.2% prefer to access the net from home, just marginally higher than 40.6% preferring to do so from the place of work. The ‘peak usage’ time bands come out as 9 a.m. To 12 noon at office, 6 p.m. To 9 p.m. At cyber cafes and 9 p.m. To 12 midnight at homes.
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Net is the ‘dominant’ medium in the homes of online Indians. Almost 9 out of 10 regular internet users accessing the net from home or place of work do so ‘daily’ (though only 33% of cyber café based internet users access the net on daily basis). More importantly, 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). Regular internet users tend to be the lightest users of radio, followed by newspaper and then TV. Social interactivity and entertainment related content are the most popular online. On an average an online Indian undertakes over 15 activities online. Communication and social interactivity activities (emailing, instant messaging/chatting, dating/friendship and matrimonial search) and entertainment activities (news, sports, movies/music, and cricket) stand out as the most popular online activities. If we combine all the social interactivity related online activities together (IM/chat, networking, communities, sharing pictures and videos, blogs, etc.) Then 81% of all online Indians undertake some or the other ‘social interactivity’ activity online. The emergence of the ‘local language website’ users. Almost 1 in 3 online Indians (34%) is already using local language websites (up from just 12% last year). Further, the proportion of internet users who generally prefer to read in local language has also gone up from 59% last year to 72% this year. Net is increasingly becoming a ‘shopping window’ among the online Indians. 4 out of 5 online Indians (80%) either search or buy products online, making the base of ‘online shoppers’ in India as large as 28 million. Of these online shoppers only 28% or 8 million are online ‘buyers’ currently. The rest 72% are just online ‘window shoppers’. The base of active online buyers has grown by 29% in the last one year, at best an ‘average’ growth rate (as internet user base itself has grown by 33% in the same period). A substantial 92% of all active online buyers have bought a travel product online (up 8% points over last year) and 51% have bought a nontravel product online (down 5% points over last year). Google leads the online landscape, both in ‘mind share’ as well as ‘user share’. Unlike last year, when Yahoo was the most top of mind recalled online brand but Google the most used website overall, this year Google sweeps the charts on both counts. Google leads the ‘mind share’ at 37% (Yahoo follows next at 32%) and leads the ‘user share’ at 28.4% (Yahoo this time follows very closely at 27.6%). However, when it comes to conversion of ‘mind share’ into actual ‘user share’ at the overall level, it is neither Yahoo nor Google but Gmail and Orkut which shows the best recall-to-usage conversion ratios (1.56 and
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1.45 respectively). The other top online brands showing above average conversion ratio are Rediff, Sify and Moneycontrol. To sum up, internet usage in India has shown a healthy growth in last one year. More importantly, it is showing clear signs of evolving and becoming the ‘dominant medium’ of interacting with the world for a good proportion of the regular online Indians. It is increasingly becoming more and more relevant and meaningful in their ‘personal’ lives (and not just their work lives). However, online buying has not really picked as much this year, making net more of a ‘window shop’ rather than an ‘online market’ in any true sense of the word (except for the travel products maybe). The fact that the bulk of Indian consumer mass comes from the vernacular Indian world, the increasing usage of local language websites is one of the most important elements of internet usage to watch for in the future. Availability of relevant and meaningful local language content and applications on the net, together with affordable access, may become the biggest enabler (or the biggest limiting factor) in the future growth of Internet usage in India.
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Estimation of Internet Users in India 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 users’ 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. Before explaining our method of estimation of the internet users’ count in India in detail we would like to qualify the fact that 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 1. Usual sources are: the regulators, industry associations and research agencies like us. It is advisable that these differing numbers (estimates) are not compared directly with one another without understanding how these have been arrived at.
Estimation methodology Coming to “how JuxtConsult’s estimate of internet users in India arrived at?”, we have once again brought in a few key improvements in our estimation methodology this year to attempt to arrive at a more accurate and representative estimate of the internet user-ship in India. These changes are : X
Complete representation of Urban India: As explained earlier in the methodology section, this year our land survey went deeper to bring in representation of all 5,000 plus population towns in Urban India. This has in effect made the survey (and the estimate) representative of all 600+ districts and 5,500+ towns in India. The sample selection for the land survey was also done very carefully to
1
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.
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bring in representation of all four zones, maximum states and all 8 town classes 2. X
First ever attempt to bring in representation of Rural India: No estimates of internet users in India can be called truly comprehensive and representative unless they also include the rural areas based internet users. It was imperative therefore that we would at some stage correct this anomaly and attempt to bring in the estimation of rural internet users in India also in the total count. We have done so this year and believe that this may probably the first serious attempt in India to estimate and profile the rural internet users.
X
Allocation of equal quotas for SEC 3 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 preset an equal quota of all 5 SECs in the urban areas to avoid any kind of bias coming in from a possible skewed selection of respondents at the field level in terms of their SEC profile.
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 the number of male and females in the family, their respective demographic profiles, and the asset ownerships of the household 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’ users of computer and internet. 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
2
The town definitions and classifications were referenced from the 2001 Census, where towns are classified basis their population into classes like: 5,000 to 20,000 population; 20,000 to 50,000; 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 population. 3
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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‘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. Like last year, in this year’s estimation of internet using population in urban India we have again used this correction factor to further improve our numbers. In this way, we also ensured that we are consistent in our estimation of the ‘growth’ in usage over the last year and make this year’s data comparable with the last year’s data. 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 Analytics estimated the number of households across the 5 SEC categories in the urban areas (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 SECs * 4 Regions * 3 Town Classes). These 60 multipliers (or weights) were then applied to the 12,507 household sample achieved through the land survey to make it representative of the 72 million urban households. In case of Rural Sample we have been able to make an estimate with two factors, i.e., Regions & Rural SEC (R1, R2, R3, R4 and R5). This resulted in 20 distinct multipliers (5 Rural SECs * 4 Regions). These 20 multipliers were then applied to the 3,946 rural sample achieved to make it representative of the 159 million rural households. Thereafter, individual level responses received on usage of ‘computer’ and ‘internet’ from our land survey was analyzed to arrive at the Internet using ‘households’ as well as ‘individuals’. This estimated number in turn was used to arrive at second set of multipliers to be applied on the internet users sample achieved online.
The estimates After making all the relevant ‘corrections’ to make this year’s data free of possible biases and consistent with our last year’s data, we arrived at our final estimates for the internet using population in both urban as well as rural India in 2008. These estimates, along with a comparative view of internet using population estimates from the last 3 years, are provided as follows:
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Table 2: A comparative view of the internet using population estimates 2005
2006
2007
2008
17.63 mn
21.95 mn
25.17 mn
30.03 mn
5.20 mn
1.65 mn
5.15 mn
10.31 mn
22.83 mn
23.60 mn
30.32 mn
40.34 mn
Estimated Internet user-ship Urban - Internet using individuals (regular) Urban - Internet using individuals (occasional) Urban - Internet using individuals (total)
Rural - Internet using individuals (regular)
5.06 mn
Rural - Internet using individuals (occasional)
4.00 mn
Rural - Internet using individuals (total)
9.06 mn
All India - Internet using individuals (regular)
35.09 mn
All India - Internet using individuals (occasional)
14.31 mn
All India - Internet using individuals (total)
49.40 mn
Growth Urban - Internet using individuals (regular) Urban - Internet using individuals (occasional) Urban - Internet using individuals (total)
25%
15%
19%
-68%
212%
100%
3%
28%
33%
7%
9%
12%
Penetration All Urban Internet Users as % of population of India
7%
All Rural Internet Users as % of population of India
1.1%
All Internet Users as % of population of India
4.3%
X
We estimate the total ‘regular’ internet users in India to be 35.09 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 regular internet using urban Indians in 2007 has grown by 19% to 30.09 million from 25.17 million.
X
Of the regular users 28.08 million (82%) are male users and 6.2 million (18%) are female users.
X
Of the 35.09 million regular online users about 25 million use internet everyday.
X
With a total of about 15.4 million estimated urban households having one or more regular internet user, the average regular internet users per household is 1.95. In case of rural the average regular internet user per household is just 1.
X
In addition to the 35.09 million regular users of internet, we estimate that there are an additional 14.31 million ‘occasional’ users of the internet in India (defined as those who use the internet
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for less than once a month). This makes the total internet using population in India to be not more than 49.4 million currently. X
At 40.34 million ‘urban’ users, the penetration of internet usage in urban India is around 12% of the total urban population (our estimate of total urban Indian population in 2008 is about 337.2 million). With rural Internet user base estimated to be 9.06 million, the penetration of Internet in rural India is around 1.1% of the total rural population (our estimate of total rural population in 2008 is about 811.3 million).
X
With these numbers, the total all-India penetration of internet usage would range around 4.3% at best.
However, after completing this year’s survey and estimation we have realized that we may have to bring in further improvements in the methodology of our rural sampling and estimation process to be able to arrive at a more robust estimate of rural internet users, especially occasional users. We plan to do so in the next round of our estimation survey.
The future Outlook The overall growth of 33% in total internet user base, and growth of 19% in ‘regular’ urban internet users, is definitely a healthy sign. Even in rural India we are seeing a decent user base, accounting for almost 14% of the ‘regular’ internet user base and 18% of the ‘total’ internet user base. However, presence of a significant ‘occasional’ user base (29% of all internet users) can be read as a sign of people getting familiar with internet but not really finding a benefit interesting enough to stick to it. The divide is very high for urban and rural internet users, among urban internet users the occasional users are just 26%, against 44% in case of rural Internet users. Currently there are little indications of any likely exponential growth in the internet user base in India 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 three years for us to really change our future outlook on projecting the growth of Internet in India. A few other facts that make us take a more ‘realistic’ (rather than ‘optimistic’) future outlook of growth of internet usage in India are: X
In India households remain the second biggest internet access point after office, with just less than around 80 PC/Laptops per 1,000 members against global average of 165 per 1,000. With increasing penetration of PCs in the households internet will eventually become even more main stream in India. 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.
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India Online 2008
X
The stagnation and declining relevance of cyber cafes from once a pedestal of a place for ‘mass access’ of internet usage, has been really disappointing and disheartening.
X
With the current ambitious ‘digital vision’ of India to take the broadband connections from 4 million subscriptions currently (of 256+ kbps speed) to 100 million subscription by 2012 (of 512+ kbps), may help in creating much faster access. Hopefully this time with mobile based broadband it may very well penetrate beyond the existing Internet users more in next 3 to 4 years (last 4 million broadband hasn’t gone much beyond existing internet users). What would also be critical is how affordable is this broadband over the wire line and wireless. This is more likely to decide how deeper into the cities is it likely to penetrate, which could be the ‘catalyst’ of any big bang growth.
All this put together clearly indicates that it is not only about ‘access’ but also to do with ‘reason for access’. Making only access rates ‘affordable’, making access device ‘cheaper’ and making access available at ‘more points’ without providing more ‘reasons’ to access, and in fact more ‘motivating reasons’ to access will not do the trick. Bringing water to the horses is one part of the story, but making the horses drink the water is a different ballgame altogether. The development of relevant language content, local content and clear benefits around ‘professional and vocational needs’, ‘communication needs’, ‘entertainment needs’, ‘personal conveniences’ and ‘transactional needs’ would make the Internet more relevant for the masses. Accordingly, keeping in mind all the ground level realties, we do not expect the internet user-ship in India to reach beyond the 70-75 million mark in the near future (say, 2010 or so) and beyond 120-125 million by 2012, at least not until the ground level factors turn around significantly and suddenly.
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Key Findings Online Indians touching 50 Million, 1 in 5 users come from the rural areas The total base of internet users in India stands at 49.4 million currently in April 2008. Of this total internet user base, 40.34 million, or 82% of online Indians come from the urban areas and 9.06 million, or 18% of online Indians come from the rural areas. At these levels, the penetration of internet stands at 4.3% of the total population of India. The penetration levels within the urban and rural population stands at 12% and 1.1% respectively. Compared to last year, the penetration in urban areas has gone up noticeably, from 9% to 12%. Further, within the total base of 49.4 million online Indians, 35.09 million, or 71% are ‘regular’ internet users (defined as those internet users who use the internet at least once a month). The balance 14.31 million online Indians, or 29% of them are ‘occasional’ users of the net (defined as those internet users who use the internet less than once a month). Table 3: Total internet users base in India 2005
2006
2007
2008
17.63 mn
21.95 mn
25.17 mn
30.03 mn
5.20 mn
1.65 mn
5.15 mn
10.31 mn
22.83 mn
23.60 mn
30.32 mn
40.34 mn
Estimated Internet user-ship Urban - Internet using individuals (regular) Urban - Internet using individuals (occasional) Urban - Internet using individuals (total)
Rural - Internet using individuals (regular)
5.06 mn*
Rural - Internet using individuals (occasional)
4.00 mn*
Rural - Internet using individuals (total)
9.06 mn*
All India - Internet using individuals (regular)
35.09 mn
All India - Internet using individuals (occasional)
14.31 mn
All India - Internet using individuals (total)
49.40 mn
Penetration All Urban Internet Users as % of urban Indian population
7%
7%
9%
12%
All Rural Internet Users as % of rural Indian population
1.1%
All India Internet Users as % of total Indian population
4.3%
* Note – Rural internet usage estimated for the first time in India Online study
Within the base of 40.34 million urban online Indians, 30.03 million, or 74% of them are ‘regular’ internet users. In contrast, the number of ‘regular’ internet users in rural India stands at 5.06 million, implying that only 56% of rural online Indians qualify as ‘regular’ net users.
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When seen from the entire internet user base perspective, the proportion of regular or occasional urban and rural internet users stand at: urban regular users (61%), urban occasional users (21%), rural regular users (10%) and rural occasional users (8%). From a practical point of view, 28.2 million internet users (57% of online Indians) are on the net daily. Chart 1: Current status of internet usage in India
Current Internet Usage Status in India All Internet Users in India 49.4 million (100%) Use less than once a month
Use at least once a month
Occasional Users
Regular Users
14.31 million (29%)
35.09 million (71%)
Urban Occasional Users
Rural Occasional Users
Urban Regular Users
Rural Regular Users
10.31 million (21%)
4.00 million (8%)
30.03 million (61%)
5.06 million (10%)
Total Daily Users
Daily Urban Users
Daily Rural Users
28.19 million (57%)
24.73 million (50%)
3.46 million (7%)
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A year of healthy growth in urban user base In the last 1 year internet usage in India has shown a ‘healthy’ growth. If the overall internet using population in urban India grew by 28% during April 2006 - April 2007 to reach 30.32 million, then it has grown by a healthier 33% during April 2007 - April 2008 to reach 40.34 million now. Table 4: Growth in internet users in urban India Internet using urban individuals (regular) Internet using urban individuals (occasional) Total internet using urban individuals
2006
2007
Growth
2008
Growth
21.95 mn
25.17 mn
15%
30.03 mn
19%
1.65 mn
5.15 mn
212%
10.31 mn
100%
23.60 mn
30.32 mn
28%
40.34 mn
33%
The ‘steady’ pace of growth in internet usage over the last 2-3 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 60% - 63%. Chart 2: Years of experience in using internet Current Year
Up to 1 year
1-2 years
M ore than 2 years
80% 60%
60% 40% 20%
24% 16%
0% All Internet Users
The added new users are as many ‘regular’ internet users as ‘occasional’ ones Leaving aside the rural internet users (as they have been estimated for the first time in India Online study), in last one year if 5.16 million new urban internet users have joined in as ‘occasional’ internet users, then 4.86 million urban internet users have also joined in as ‘regular’ internet users. In fact, while the growth rate of occasional urban internet users has dipped from 212% last year to 100% this year (on a lower base though), the growth rate of regular urban internet users has increased from 15% last year to 19% this year.
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Chart 3: Trend in growth of ‘regular’ internet users Regular urban internet users 35
Million Users
30 30.03
25 17.4
20
25.17 21.95
15 10 5 0 2005
2006
2007
2008
Year
The bulk of regular internet users come from the non-metro towns After inclusion of the rural internet users as well, only 30% of all regular internet users came from the top 8 metro cities. On the other hand, the 'second tier' mid-size cities (urban uptowns and emerging towns) account for another 18% of them. This means that the 'rest of India' (smaller towns and rural areas) account for the balance 52% of all regular internet using population. Table 5: Top 10 cities by contribution to regular internet user population in India % of Regular Internet Users
Regular Internet Users (in millions)
Mumbai & Thane
9.8%
3.44
2
Delhi NCR
8.6%
3.02
3
Hyderabad & Secundrabad
7.4%
2.60
4
Bangalore
7.1%
2.49
5
Chennai
5.6%
1.97
6
Pune
2.6%
0.91
7
Kolkata
2.5%
0.88
8
Ahmedabad
1.3%
0.46
9
Coimbatore
1.2%
0.42
10
Lucknow
1.0%
0.35
Rank
City
1
In terms of socio-economic classification (SEC), if 56% of regular internet users came from SEC ‘A’ and ‘B’ groups last year, then this year their share goes down to 50%. SEC ‘C’ accounts for 19%, while SEC ‘D’ and ‘E’ put together account for 16%. The balance 15% come from the rural SEC groups - with R1, R2 and R3 combine accounting for 10% and R4 and R5 for approx. 5%. More importantly, almost 70% of the regular internet users continue to constitute what can be termed as the ‘urban consuming class’ (SEC ‘A’, ‘B’ and ‘C’).
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Incidentally, despite the growth in the proportion of smaller town and lower SEC profile users among the regular internet user base, the proportion of female net users continues to stay at 18%. This indicates that users coming from the smaller towns and lower SEC profiles do not necessarily show a higher tendency of being more ‘males’.
Internet user base is increasingly skewing towards the ‘younger’ India If the under 25 year age groups were in ‘minority’ last year accounting for 42% of the regular internet users, then their proportion has grown into the ‘majority’ this year standing at 52% of the total regular internet user base. Further, if the age band of 25-35 years formed the ‘single largest’ age group of regular internet users at 36% last year, then the 19-24 year age band has emerged as the ‘single largest’ age group of regular internet users this year at 44%. Indicates that the new internet users form the urban areas as well as internet users form rural areas show much ‘younger’ age profiles. Chart 4: Age distribution of regular internet users 13-18 years 50%
19-24 years
25-35 years
35 years +
44% 34%
25% 14% 9% 0% All Internet Users
Further, in the line with the age profile, if almost half of the regular internet users (47%) were ‘head’ of the household last year, then a much lower 37% of them are ‘head’ of the households now. Lastly, only 17% of all regular internet users came from ‘IT’ functional background last year. The proportion of IT background net users has jumped up significantly and now accounts for more than 1 in 4 of the overall regular net users (27%).
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Online Indians represents the ‘masses’ as well as the ‘classes’ X
With 55% of the regular internet users having monthly household income (MHI) of less than Rs.10,000 and only 14% of them having MHI of more than Rs.30,000, the bulk of the Indian internet users can only be classified as the ‘masses’. The ‘average’ monthly household income of the regular net users comes out at about Rs.18,930 approximately.
X
But with ownership of cars among them being at 17% (against a possible national norm of just 5%-6%), and a very high 2-wheeler ownership levels at 46%, the regular net users do show up as highly ‘consumption’ oriented and show a glimpse of the ‘classes’. This is also hinted by the fact that 28% of regular internet users prefer to read in English, probably again much higher than the national norms.
X
Almost 2 out of 3 regular net users (64%) own some kind of an automobile.
X
Though almost 68% of regular net users are employed and 51% of them work as ‘salaried’ employees in the corporate world, only 25% of them own a credit card. The credit card ownership among regular internet users stood at 34% last year. This noticeable fall in the proportion of credit card owners can be attributed to the significant increase in the proportion of the relatively ‘younger’ age group net users.
X
Among the credit card owning net users, almost 1 in 3 own ‘multiple’ credit cards.
X
Almost half of the regular net users (52%) have taken up a ‘loan’ of some kind. The most taken loan is auto loan (both cars and 2wheelers put together) at 23%, followed by home loan at 21% and then by personal loan at 16%. The average number of loans taken by the ‘loan taking households’ among internet users is 1.5.
X
Ownership of most of the household assets is also fairly high among the regular internet users, as indicated by the table below:
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Table 6: Ownership of popular household assets among online urban Indians Household Asset
% Owning in 2008
% Owning in 2007
Color TV
90%
92%
Mobile Phone
87%
90%
Bank Account
84%
82%
Computer/Laptop
72%
67%
Cable TV connection/DTH
69%
72%
Fridge
68%
75%
Home
55%
58%
Life Insurance
53%
61%
Camera
52%
64%
Landline Phone
50%
62%
Debit Card
48%
52%
Washing Machine
46%
57%
Credit Card
31%
35%
Fixed Deposits
27%
34%
Medical Insurance/CGHS
26%
33%
Mutual Funds
21%
22%
Air Conditioner
19%
25%
IPod
19%
10%
Microwave
17%
24%
Video Camera
17%
20%
Demat Account
11%
21%
It is interesting to note here that almost three-fourths (72%) of the regular internet users have personal computers/laptops at home. With an average internet user-ship of approx. 2 per household, every third internet using household (36%) has access to a computer/laptop at home.
Internet is accessed the most from ‘place of work’, though ‘home’ emerges as the most preferred place of access Almost half of the regular internet users (46%) access the net from more than one place of access. The per capita ‘places of access’ averages at 1.7. On multiple access basis, place of work (office, school, colleges, etc.) Still continues to be the single largest place for accessing internet at 60% (though down 18% points over the last year’s figure of 78%). Usage form home follows at 55% (down 4% points over last year), and then from cyber cafes at 47% (the same as last year). In terms of exclusive usage, while 1 in 5 internet user still accesses internet only form home (at 21%), another 1 in 5 also accesses it only from place of work (at 20%). About 1 in 8 regular internet users (13%) access the net exclusively form a cyber café.
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This still indicates that the relevance of cyber cafés is only ‘secondary’ in nature as of now. This low exclusive access of internet from cyber cafes could be one of the biggest barriers in the 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. Chart 5: Place of accessing internet (multiple accesses)
Internet Usage by Place of Access Place of Work - 60%
Home - 55%
Office Only
Home Only
12%
20%
21%
16% 12%
6%
Cyber Café Only 13%
Cyber Café - 47% Note - 6% regular internet users also use it ‘in transit’
However, when it comes to the ‘single most preferred’ place of accessing internet among the regular internet user, home scores over the place of work marginally. While 41.2% prefer to access the net from home, just a marginally lower 40.6% prefer to do so from the place of work. Cyber café falls back significantly with only 18% regular net users preferring to access the net from cyber café the most.
Broadband connectivity is very widespread among the regular online Indians Broadband is now the main source of internet connectivity among the majority of regular online Indians, irrespective of where they access the net from. 71% of regular internet users accessing internet form home, 68% accessing from place of work and 62% accessing from cyber café claim to go online using a broadband connection. However, despite such widespread usage of these ‘commonly perceived’ broadband connections, the biggest problem faced on the net by almost 2 out of 3 net users (59%) is the ‘slowness’ in opening of
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websites. Another 1 in 3 regular net users (31%) 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. This is also in line with the fact that though TRAI defines a true broadband connection at 256 kbps (and recently being revised by it to 512 kbps), in reality ISPs have been marketing connections as low as 75-100 kbps as broadband. Chart 6: Problems faced by regular net users while surfing the net
100% 80% 60%
59% 42%
40%
39%
37%
Website not opening/opening slowly Spam/Junk Mails Mails with virus/Spyware Unsolicited ads/pop-ups Difficulty in getting connected No response to queries on websites Cumbersome navigation in websites Don't have relevant local language content
31%
23% 12%
20%
11%
0% All Internet Users
Spam and junk mails, virus and spyware, and unsolicited ads and pop ups form the other main irritants and problems faced on the net.
Net is the ‘dominant’ medium in their home lives Despite the technical glitches and the ‘unasked for’ irritants, the frequency of accessing internet from homes as well as offices is very high. It is to the extent that almost 9 out 10 regular internet users accessing the net from home or place of work do so ‘daily’ (89% from home and 85% from office). It is only from cyber cafes that net access is relatively less frequent. Only 33% of internet users who access the net from cyber café do it on a daily basis. In fact, more of them (46%) access the net at least weekly but not daily. The fact that daily usage of internet from homes is now higher than that from place of work is a clear indication that internet is now also becoming a part of people’s ‘personal’ lives and has not just remained a part of their ‘work’ lives. 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). 1 in 2 of them (58%) is a heavy user of internet during the weekend, while 1 in 3 (36%) is also a heavy user of internet during the weekdays. In contrast, only 1 in 7 of them (14%) is a heavy user of TV and 1 in 10 (10%) a heavy user of radio. Regular internet users tend to be the lightest users of radio, followed by newspaper and then TV.
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Table 7: Duration of usage of Internet and Offline mediums from home Internet Weekday
Internet Weekend
TV
Newspaper
Radio
Light Users (less than 1 hr. a usage day)
29%
19%
47%
51%
69%
Medium Users (1-2 hrs. a usage day)
35%
23%
40%
36%
21%
Heavy Users (more than 2 hrs. a usage day)
36%
58%
14%
13%
10%
Note – only in case of newspaper ‘light user’ has been defined as someone who spends ‘up to 30 minutes’, medium as someone who spends between 30 min. to 1 hour and heavy user as someone who spends more than 1 hour
In terms of the internet usage pattern by the day-parts, 9 p.m. To 12 midnight is the peak usage time from home with almost 1 in 3 home based net users (32%) logging on to the net in that time band. The peak usage time band from place of work is between 9 a.m. To 12 noon with 1 in 4 net users from office (26%) logging on to the net during that time band. Lastly, the peak usage time band from cyber cafes is between 6 p.m. To 9 p.m. With 29% of all cyber café user users logging on to the net during that time band.
Social interactivity and entertainment related content are the most popular online On an average an online Indian undertakes over 15 activities online. Communication, social interactivity and entertainment activities stand out as the most popular online activities. In the list of the 10 most popular online activities among the regular internet users, 4 fall in the domain of communication and social interactivity/networking activities (emailing, IM/chatting, dating/friendship and matrimonial search) and 4 fall in the domain of personal or entertainment activities (news, sports, movies/music, and cricket). Table 8: Top 10 most popular online activities Online Activity
% Undertaking in 2008
% Undertaking in 2007
Increase
1
Emailing
91%
95%
-4%
2
Job Search
72%
73%
-2%
3
Instant messaging/chatting
70%
62%
+9%
4
Check news
63%
61%
+2%
5
Check Sports
57%
57%
-1%
6
Download music/movies
54%
29%
+25%
7
Dating/Friendship
50%
51%
-2%
8
Check cricket score
50%
NA
NA
9
Matrimonial search
49%
48%
1%
English info search engine
49%
NA
NA
Rank
10
When compared with the last year, the biggest gainers in popularity among the online activities are downloading movies and music, local language content search, finance related activities like stocks and business/financial news and net telephony. On the other hand, the noticeable among the biggest losers in popularity in last one year have
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been online travel search, checking educational material, mobile content download and e-greetings. Table 9: Biggest gainer and loser online activities during the year % Undertaking in 2008
% Undertaking in 2007
Increase
Download music/movies
54%
29%
25%
Local language search engine
33%
12%
21%
Visit Online stock trading websites
31%
13%
18%
Net telephony
27%
13%
15%
Check business/financial news
43%
30%
13%
Listen to/Buy Music
48%
60%
-12%
Search/Buy travel products
31%
43%
-12%
Educational / Learning material
35%
48%
-12%
Mobile contents (ring tones, etc.)
37%
50%
-13%
E-greetings
41%
57%
-16%
Online Activity Biggest Gainers
Biggest Losers
The rise of ‘social interactivity’ If we combine all the social interactivity related online activities together (IM/chat, networking, communities, sharing pictures and videos, blogs, etc.) Then almost 81% of all online Indians undertake some or the other ‘social interactivity’ activity online. Among these activities IM/chatting is the most popular with 70% of all regular Indian net users undertaking it. Sharing pictures comes next at 45%, followed by social networking at 43%, e-greetings at 41%, video sharing at 36% and professional networking at 36%. Interactive blogging is the least popular social interactivity activity online with only 10% internet users commenting on blogs and only 8% internet users owning a blog site. Only 1 in 4 (28%) of all online Indians check or read blogs. Further, among all those who blog, almost half (48%) only read blogs. On the other hand, almost half of the online Indians (48%) are members of some or the other online ‘community’. Alumni, Technology, Education, Business profession, and Romance and Relationships communities are among the most popular online communities.
The emergence of the ‘local language website’ users Historically, internet has been a medium of English in India. No wonder then that till last year despite 59% of all online Indians preferring ‘local Indian languages’ for reading in general, only 12% of all online Indians were visiting local language websites on the net.
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However, two emerging facts indicate an increasing trend towards local language based internet usage in the future: X
The proportion of internet users who generally prefer to read in local language itself has gone up from 59% last year to 72% this year (maybe a correction of better coverage, and therefore better representation through multipliers, of the smallest towns and villages in this year’s land survey).
X
Secondly, the proportion of internet users who visit or check local language websites has also gone up from just 12% last year to 34% this year. That is, almost 1 in 3 online Indian is already using local language websites.
Interestingly, while the increase in the base of online Indians who prefer to read in local Indian languages has been 13% points, the increase in base of online Indians who visit local Indian language websites has been a much higher 22% points. Indicates that at least 9% online Indians who were using only English websites till last year have started using local language websites also. Table 10: Status of local language net users 2008
2007
Increase
Online Indians preferring to read in English
28%
41%
-13%
Online Indians preferring to read local Indian languages
72%
59%
13%
Online Indians visiting English websites only
66%
88%
-22%
Online Indians visiting local language websites also
34%
12%
22%
Note - All online Indians check English language website by default
Net is increasingly becoming a ‘shopping window’ among the online Indians 4 out of 5 online Indians (80%) either search or buy products online, that is, they ‘shop’ online. This makes the ‘online shoppers’ base in India as large as 28 million. Of these 28 million online shoppers, only 28%, or 7.97 million currently also ‘buy’ online. The rest 72% of them, or 20.07 million, only search for products online but do not buy them online yet (window shoppers). Effectively, this means that almost 1 in 4 online ‘shopper’ in actually an online ‘buyer’. On the overall regular internet user base, the proportion of online buyers and window shoppers work out to be 23% and 57% respectively. Compared to the last year, when the count of then currently ‘active online buyers’ was 6.16 million, the base of active buyers has grown by 1.81 million to reach 7.97 million. This indicates a 29% growth in the base of active online buyers since last year. As the growth in internet user base during the same period has been 33%, the growth rate of online buyers in last one year can only be described as ‘average’.
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This ‘average’ growth in the online buyer base last year is also indicated by the fact that the base of online buyers among the regular internet users who have bought online ‘ever’ has just grown from 10.78 million last year to 11.23 million this year (a meager addition of 0.45 million ‘new’ online buyers during the year). Table 11: Status of online shoppers and buyers % Online Indians Undertaking in 2008
% Online Indians Undertaking in 2007
Increase
Online window shoppers (who only search online)
57%
33%
24%
Online buyers (who search as well as buy online)
23%
25%
-2%
Total online shoppers (who either search or buy online)
80%
58%
22%
11.23 mn
10.78 mn
+0.45 mn
32%
43%
-11%
Online Indians who have bought ‘ever’ on the net (mn) Online Indians who have bought ‘ever’ on the net (%)
Note – In last year’s report the shopper/buyer numbers were reported on ‘ever used’ basis. However, this year these numbers have been reported on their ‘currently active’ status (taken as active in the last 6 months). Accordingly, in the above table last year numbers have been recalculated and presented, and therefore will not tally directly with last year’s report numbers.
Interestingly, a substantial 92% of all active online buyers have bought a travel product online (up 8% points over last year’s number of 84%). In comparison, only 51% of the online buyers have bought a non-travel product online (down 5% points over last year’s number of 56%).
Over half of the online Indians are ‘responsive’ to online marketing stimulus A little over half of all online Indians (53%) have responded to some or the other online marketing stimuli in the past. Further, on an average they have typically responded to approximately 3 stimuli per person (actual average is 2.7). Online contests are what online Indians have responded to the most, with 60% of them having done so. Contest are closely followed by search ads and banner ads at 56% and 53% respectively. Almost 1 in 5 online Indians (18%) have received a ‘viral ad’ from someone and a third of them (6%) have actually forwarded such viral ads to other people they know on the net. Chart 7: Response to online marketing stimuli Participated in an online contest Clicked a sponsored search ad Clicked a banner ad Subscribe to online newsletters Clicked a product/service e-mailer Received viral ad from someone Forwarded viral ad to someone
100% 80% 60% 40%
60%
56%
53%
46% 33% 18%
20%
6%
0% All Internet Users
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India Online 2008
Google emerges as the leading online brand overall, whether in terms of ‘mind share’ or in terms of ‘user share’ Unlike last year, when Yahoo was the most top of mind recalled online brand (at 30%) but Google the most used website overall (at 29%), this year Google sweeps the charts on both the counts. Google leads the ‘mind share’ with 37% of all online Indians recalling it as the first online brand coming to their minds. Yahoo follows next at 32%, thereafter followed distantly by Rediff (7%), Orkut (6%) and Gmail (6%) to complete the top 5 list. Google also leads the ‘user share’ at the overall usage level of all kinds of websites. 28.4% of all online Indians claim to use it the most among all the websites they use on the net. Yahoo is a very close second, with 27.6% of all internet users using it the most. Rediff, Gmail and Orkut again emerge as the number 3, 4 and 5 on usage as well. However, when it comes to conversion of ‘mind share’ into actual ‘user share’ at the overall level, it is neither Yahoo nor Google but Gmail and Orkut which shows the best recall-to-usage conversion ratios at 1.56 and 1.45 respectively. The other top online brands showing above average conversion ratio are Rediff, Sify and Moneycontrol. Interestingly, 9 out of the top 10 names in this year’s list are the same as last year (with only some shifts in ranks). It goes to indicate the ‘real’ strength and sustenance power of these online brands in the Indian online landscape. The only brand to move out form the top 10 list of last year is MSN, which has been replaced by Moneycontrol this year. Table 12: Top 10 most popular online brands Website
% Recall Most Top of Mind
% Use it the Most Overall
Usage/Recall Ratio
1
Google
36.6%
28.4%
0.78
2
Yahoo
31.5%
27.6%
0.88
3
Rediff
7.4%
8.6%
1.16
4
Orkut
5.6%
8.1%
1.45
5
Gmail
5.5%
8.6%
1.56
6
Indiatimes
1.7%
1.2%
0.71
7
Hotmail
1.1%
1.0%
0.91
8
Moneycontrol
0.8%
0.8%
1.00
9
Naukri
0.7%
0.4%
0.57
Sify
0.6%
0.7%
1.17
Rank
10
Lastly, in terms of specific online activities, Yahoo, Google and Orkut emerge as the most popularly used websites for 15 of the 26 popular online activities surveyed (Yahoo on 7, Google on 4, and Orkut on 4).
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Table 13: Top-most popular websites for specific online activities Top Website
% Use Most (Primary User Share)
YOY Primary User Share Increase
Emailing
Yahoo
51%
-2%
Instant Messaging
Yahoo
53%
-10%
Job Search
Naukri
42%
+5%
Online News
Yahoo
16%
+2%
Info Search – English
Google
81%
+6%
Info Search – Local language
Google
65%
-9%
Online Activity
Online Travel Online Games Online Shopping (Non-travel) Real Estate Financial News/Info Online Share Trading Net Telephony
Yatra
18%
+2%
Makemytrip
16%
-1%
Zapak
32%
+15%
Ebay
33%
-1%
Google
23%
+5%
Moneycontrol
18%
+5%
Google
15%
+2%
ICICIdirect
31%
-5%
Yahoo
25%
NA
Gtalk
24%
NA
Bharatmatrimony
36%
-
Shaadi
34%
+6%
Friendship/Dating
Orkut
54%
+18%
Share Pictures
Orkut
38%
NA
Social Networking
Orkut
66%
+2%
Professional Networking
Orkut
44%
NA
Youtube
43%
NA
Cricinfo
19%
+6%
Matrimony
Video Sharing Sports
Yahoo
17%
+5%
Astrology
Yahoo
25%
+3%
Cinema
Yahoo
14%
+3%
Music
Raaga
17%
-5%
Online learning/education
Google
32%
-2%
Buy/rent movie CD Mobile Content
Rediff
19%
NA
Yahoo
12%
-2%
Nokia
11%
+2%
To sum up, internet usage has shown a healthy growth in last one year. More importantly, it is showing clear signs of evolving and becoming the ‘dominant’ medium of interacting with the world among a good proportion of the regular online Indians. More so, as the depth of its usage has increased further and so has its relevance in regular online Indian’s personal lives (and not just their work lives). The noticeably increased usage of ‘social interactivity’ and ‘personal entertainment’ online activities clearly substantiates this trend. However, while the usage of Internet has shown a ‘healthy’ growth in last one year, online buying has not really picked as much this year, making net more of a ‘window shop’ rather than an ‘online market’ in any true sense of the word (except for the travel products maybe).
32
India Online 2008
Lastly, internet continues to be the ‘melting pot’ of the big Indian middle ‘mass’ of urban consumers. And that fact that the bulk of Indian consumer mass comes from the vernacular Indian world (as indicated by the growth of local language reading online Indians in its user base), the increasing usage of local language websites is one of the most important elements of internet usage to watch for in the future. Availability of relevant and meaningful local language content and applications on the net, together with affordable access, may actually become the biggest enabler (or the biggest limiting factor) in the future growth of Internet usage in India.
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Detailed Findings
34
India Online 2008
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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Main Report
Table: Preferred websites - emailing 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%
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%
-1.9%
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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India Online 2008
Demographic Profile Chart 8: Gender breakup Current Year 100%
M ale
Female
82%
80% 60% 40% 18% 20% 0% All Internet Users
Base: 15,875
Chart 1: Gender breakup Change from PY 2% 1%
1%
0% -1%
-1%
-2%
Base: 15,875(CY), 25,060(PY)
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Main Report
Chart 9: Age group distribution 13-18 yrs
Current Year
19-24 yrs
50%
25-35 yrs
44% 34%
25% 9% 0% All Internet Users
Base: 15,875
Chart 2: Age group distribution Change from PY 12%
15%
5%
-5%
-2%
-2%
Base: 15,875(CY), 25,060(PY)
Age
All Internet Users
Change from PY
13-18 yrs
9%
-2.4%
19-24 yrs
44%
12%
25-35 yrs
34%
-2.1%
36-45 yrs
9%
-4.3%
46-55 yrs
4%
-2.4%
Above 55 yrs
1%
-1.0%
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India Online 2008
Chart 10: City class - by population size Current Year
Up to 1 Lakh
1-5 Lakhs
5-10 Lakhs
Above 10 Lakhs
36%
40%
31%
21% 20% 12%
0% All Internet Users
Base: 15,875
Chart 3: City class - by population size Change from PY 15%
10%
7%
5% -5% -15%
-2% -14%
Base: 15,875(CY), 25,060(PY)
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Main Report
Chart 11: City class - by market size Current Year
M etro
Urban uptowns
Emerging Towns
60%
40%
Others
52%
30%
20%
13% 6%
0% All Internet Users
Base: 15,875
Chart 4: City class - by market size Change from PY 20%
19%
10%
0% -3% -10%
-8%
-8%
Base: 15,875(CY), 25,060(PY)
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India Online 2008
Table 14: Cities Cities
All Internet Users
Change from PY
Mumbai
9%
-1.2%
Bangalore
7%
0.7%
Delhi
7%
-5.3%
Chennai
6%
1%
Hyderabad
6%
0.2%
Pune
3%
0.1%
Kolkata
3%
-0.8%
Secunderabad*
2%
Ahmedabad
1%
-0.3%
Coimbatore
1%
0.3%
Thane*
1%
Lucknow
1%
-0.3%
Visakhapatanam
0.8%
-0.1%
Ghaziabad*
0.7%
Gurgaon*
0.7%
Bhubaneswar
0.7%
Mysore
0.7%
0.3%
Jaipur
0.6%
-0.2%
Vadodara
0.6%
-0.1%
Noida*
0.6%
Surat
0.6%
Ludhiana
0.6%
0.0%
Chandigarh
0.5%
-0.3%
Indore
0.5%
-0.2%
Bhopal
0.5%
-0.1%
Trivandrum*
0.5%
Madurai
0.5%
0.1%
Faridabad
0.5%
-0.1%
Vijayavada
0.4%
-0.1%
Tiruchirapalli
0.4%
0.1%
Kochi
0.4%
-0.1%
Kanpur
0.4%
-0.1%
Nashik
0.4%
0.0%
Guwahati
0.4%
0.1%
Ajmer*
0.4%
Kancheepuram*
0.4%
Ernakulam*
0.3%
Guntur*
0.3%
Nagpur
0.3%
-0.5%
Agra
0.3%
0.0%
Pondicherry*
0.3%
Patna
0.3%
Warangal*
0.3%
Goa
0.3%
0.2%
-0.1%
-0.3%
0.0%
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Main Report
Cities
All Internet Users
Change from PY
Erode*
0.3%
Cuttack
0.3%
Kollam*
0.3%
Pimpri Chinchwad*
0.3%
Rangareddi*
0.3%
Thrissur*
0.3%
Kozhikode*
0.3%
Rajkot
0.3%
Salem*
0.2%
Amritsar
0.2%
Srinagar*
0.2%
Anantapur*
0.2%
Jalandhar*
0.2%
Mangalore
0.2%
0.0%
Allahabad
0.2%
-0.2%
Jabalpur
0.2%
0.0%
Meerut
0.2%
-0.1%
Tirunelveli*
0.2%
Vellore*
0.2%
Nellore*
0.2%
Chittoor*
0.2%
Jammu*
0.2%
Kottayam*
0.2%
Thiruvallur*
0.2%
Belgaum*
0.2%
Dehradun
0.2%
-0.1%
Jodhpur
0.2%
0.0%
Krishna*
0.2%
Yelahanka*
0.2%
Hugl*
0.2%
Kakinada*
0.2%
Palakkad*
0.2%
Ranchi
0.2%
-0.1%
Aurangabad
0.2%
-0.1%
Bilaspur*
0.2%
Tirupati*
0.2%
Varanasi
0.2%
Panipat*
0.1%
Dakshina Kannada*
0.1%
Kannur*
0.1%
Hubli-Dharwad*
0.1%
Raipur
0.1%
Rajahmundry*
0.1%
Cuddapah*
0.1%
Kolhapur*
0.1%
-0.1%
0.0%
-0.1%
0.0%
-0.1%
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India Online 2008
Cities
All Internet Users
Kurnool*
0.1%
Alappuzha*
0.1%
Dharmapuri*
0.1%
Gwalior*
0.1%
Jamshedpur*
0.1%
Kota*
0.1%
Mira-Bhayandar*
0.1%
Thiruvanathapuram
0.1%
Aligarh*
0.1%
East Godavari*
0.1%
Shimla*
0.1%
Udupi*
0.1%
Change from PY
-0.5%
Others from North India
7%
-2.7%
Others from East India
4%
-1.2%
Others from South India
14%
-0.4%
Others from West India
5%
-1.7%
Base: 15,875(CY), 25,060(PY)
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Main Report
Chart 12: Region-wise break-ups Current Year
North
East
South
West
50% 40% 30%
33%
31%
21% 15%
20% 10% 0%
All Internet Users
Base: 15,875
Chart 5: Region-wise break-ups Change from PY 10% 6% 3%
5% 0% -5%
-2%
-10%
-7%
Base: 15,875(CY), 25,060(PY)
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India Online 2008
Table 15: Preferred language of reading Language
All Internet Users
Change from PY
English
28%
-12.8%
Hindi
26%
8%
Tamil
8%
2%
Telugu
8%
1%
Marathi
5%
0.5%
Gujarati
4%
0.7%
Malayalam
4%
0.1%
Bengali
4%
0.4%
Oriya
3%
0.1%
Kannada
3%
-1.0%
Punjabi
2%
0.7%
Urdu
1%
0.4%
Assamese
0.6%
0.1%
Marwari
0.6%
0.2%
Bhojpuri
0.4%
0.2%
Konkani
0.4%
-0.1%
Maithili
0.4%
0.3%
Kashmiri
0.3%
0.2%
Sindhi
0.2%
0.0%
Chhattisgarhi
0.1%
0.0%
Haryanvi
0.1%
0.0%
Awadhi
0.1%
-0.9%
Manipuri*
0.1%
Nepali*
0.1%
Sanskrit
0.1%
Santhali*
0.1%
Tulu
0.1%
Bodo*
0.0%
Bundeli*
0.0%
Dogri*
0.0%
Kanauji*
0.0%
Kurchi*
0.0%
Magahi*
0.0%
Others*
0.8%
0.0%
0.0%
0.5%
Base: 15,875(CY), 25,060(PY)
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Main Report
Socio-Economic Profile Table 16: Socio economic classification SEC
All Internet Users
Change from PY
SEC A
24%
-0.8%
SEC B
27%
-5.4%
SEC C
19%
-3.5%
SEC D
10%
-4.3%
SEC E
7%
-0.2%
Rural 1*
3%
Rural 2*
3%
Rural 3*
4%
Rural 4*
4%
Rural 5*
0.9%
Base: 15,875(CY), 25,060(PY)
Table 17: Population classification 4 Classification
All Internet Users
Urban
86%
Rural*
14%
Base: 15,875
4
Data in 2007 was not classified into Urban and Rural.
46
India Online 2008
Chart 13: Highest educational qualification Up to SSC/HSC Graduate & above - general stream
College but not Graduate Graduate & above - professional stream
Current Year 60%
57%
40% 20% 20%
14%
10%
0% All Internet Users
Base: 15,875
Chart 6: Highest educational qualification Change from PY 20% 15% 10% 5% 0% -5% -10% -15%
19%
0.3%
-5% -14%
Base: 15,875(CY), 25,060(PY)
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Main Report
Chart 14: Occupational break up Current Year
Employed
60%
Unemployed
53% 47%
40%
20%
0% All Internet Users
Base: 15,875
Chart 7: Occupational break up Change from PY
9%
10% 5% 0% -5% -10%
-9%
Base: 15,875(CY), 25,060(PY)
Occupation
All Internet Users
Junior level salaried employee
26%
Middle / Senior level salaried employee
15%
Self Employed Professionals (Self Practicing Doctor, Lawyer)
4%
Shop owner/ Traders
3%
Businessmen Student
5% 33%
Housewife
9%
Others
6%
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India Online 2008
Chart 15: Function / field of occupation Current Year
IT/SW
M ARCOM
Finance
Others
70% 54%
60% 50% 40% 30%
27%
20%
14% 6%
10% 0%
All Internet Users
Base: 15,875
Chart 8: Function / field of occupation Change from PY 10%
10%
5% 0%
-0.10%
-5% -10%
-5%
-4%
Base: 15,875(CY), 15,219(PY)
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Main Report
Chart 16: Head of the household Current Year
Head of the household
Not head of the household
70%
63%
37% 35%
0% All Internet Users
Base: 15,875
Chart 9: Head of the household Change from PY 50% 25%
10%
0% -25%
-10%
-50%
Base: 15,875(CY), 25,060(PY)
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India Online 2008
Economic Profile Chart 17: Monthly family income Current Year
Up to Rs. 10K
10-30K
30-50K
Above 50K
50% 40%
30%
30% 20% 9% 10%
6%
0% All Internet Users
Base: 14,851
Chart 10: Monthly family income Change from PY 20%
17%
15% 10% 5% 0% -5% -10%
-9%
-4%
-4%
Base: 14,851(CY), 21,343(PY)
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Main Report
Chart 18: Most expensive vehicle owned by the household Current Year
2 Wheeler
50%
4 Wheeler
Others
46%
40% 30% 19%
17%
20% 10% 0%
All Internet Users
Base: 15,875
Chart 11: Most expensive vehicle owned by the household Change from PY 15%
10%
10% 5%
2%
0% -5% -10% -15%
-11%
Base: 15,875(CY), 25,060(PY)
Vehicle
All Internet Users
Change from PY
Bi-Cycle
18%
10%
Motor-Cycle/Scooter
46%
2%
Small Car (Up to Rs.4 lakhs)
11%
-7.7%
5%
-3.5%
2%
-0.1%
Mid-Size Car (Rs.4 to 8 lakhs) Premium/Luxury Car (Above Rs. 8 lakhs) Bullock Cart*
0.2%
Power Tiller*
0.0%
Tractor*
0.2%
Others
0.5%
-0.9%
52
India Online 2008
Chart 19: Ownership of credit cards (individually) Current Year
Don't own a credit card
80%
Own a Credit Card
76%
60% 40% 25% 20% 0% All Internet Users
Base: 15,875
Chart 12: Ownership of credit cards (individually) Change from PY 15% 10%
9%
5% 0% -5% -10% -15%
-9%
Base: 15,875(CY), 25,060(PY)
Credit Card
All Internet Users
Change from PY
Single Card
16%
-2.1%
Multiple Cards
9%
-6.9%
No Credit Card
76%
9%
Ownership of credit cards (Individually)*
0.0%
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Main Report
Table 18: Household asset ownership Asset
All Internet Users
Change from PY
Color TV
90%
-2.3%
Mobile Phone
87%
-2.8%
Bank Account
84%
3%
Computer/Laptop
72%
5%
Cable TV connection/DTH
69%
-2.9%
Fridge
68%
-7.1%
Music System/DVD/MP3
56%
0.6%
Home
55%
-3.2%
Life Insurance
53%
-7.9%
Camera
52%
-12.3%
Landline Phone
50%
-12.2%
Debit Card
48%
-4.6%
Washing Machine
46%
-11.0%
Land*
37%
Credit Card
31%
-4.4%
Fixed Deposits
27%
-7.5%
Medical Insurance/CGHS
26%
-6.7%
Mutual Funds
21%
-1.7%
Air Conditioner
19%
-5.8%
IPod
19%
8%
Microwave
17%
-6.8%
Video Camera
17%
-3.0%
Demat Account
11%
-9.2%
Share of Companies
11%
-8.1%
Tube well/pump*
8%
Chit Fund Deposits
7%
-0.2%
Base: 15,875(CY), 25,060(PY)
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India Online 2008
Chart 20: Current loan liabilities Current Year
Home Loan
Personal Loan
Two - wheeler Loan
30% 21% 20%
16% 13%
10%
0% All Internet Users
Base: 15,875
Chart 13: Current loan liabilities Change from PY 5%
0.30%
0% -5% -5%
-10% -15% -20% -25%
-23%
Base: 15,875(CY), 25,060(PY)
Loan
All Internet Users
Change from PY
Home Loan
21%
-23.3%
Personal Loan
16%
-4.6%
Two - wheeler Loan
13%
0.3%
Car Loan
10%
-2.4%
Education Loan
8%
-1.2%
Business Loan
6%
3%
Consumer Durables
2%
-0.9%
Agriculture Land Loan*
1%
Tube well/Pump Loan*
0.2%
Tractor/Power Tiller Loan*
0.2%
Seeds/Fertilizer Loan*
0.2%
None of Above
48%
38%
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Main Report
Net Usage Status Chart 21: Years of experience in using internet Current Year
Up to 1 year
1-2 years
M ore than 2 years
80% 60%
60% 40%
25% 16%
20% 0%
All Internet Users
Base: 15,875
Chart 14: Years of experience in using internet Change from PY 10% 4% 0% -0.4% -4% -10%
Base: 15,875(CY), 25,060(PY)
Experience
All Internet Users
Change from PY
Less Than 6 Months
12%
2%
6 Months-1 year
12%
2%
1-2 years
16%
-0.4%
2-5 years
24%
-2.4%
5-6 years
10%
-1.7%
6 years and above
26%
0.4%
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India Online 2008
Chart 22: Number of household members using internet Current Year 50% 40% 30% 20%
1 M ember 4 M embers
2 M embers 5 or more members
3 M embers
39% 28%
17% 9%
10%
7%
0% All Internet Users
Base: 15,875
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Main Report
Chart 23: Place of accessing internet Home Place of work (office / school / college) Cyber cafe In transit (while traveling) 60%
Current Year 80% 60%
55% 47%
40% 20%
6%
0% All Internet Users
Base: 15,875
Chart 15: Place of accessing internet Change from PY 0%
-0.2% -0.3% -4%
-10%
-20%
-19%
Base: 15,875(CY), 25,060(PY)
Place
All Internet Users
Change from PY
Home
55%
-4%
Place of work (office / school / college)
60%
-19%
Cyber cafe
47%
0%
In transit (while traveling)
6%
0%
Choupal/Gram Panchayat*
1%
58
India Online 2008
Chart 24: Place of accessing internet most regularly Current Year 50%
Home Cyber cafe Choupal/Gram Panchayat 41% 41%
Place of work In transit
40% 30% 20%
18%
10% 0.4%
0.1%
0% All Internet Users
Base: 15,210
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Main Report
Chart 25: Type of internet connection at home Current Year 80%
Broadband
Regular Dial Up
Others
71%
60% 40% 20%
15%
12%
0% All Internet Users
Base: 8,408
Chart 16: Type of internet connection at home Change from PY 8% 4%
6% 3%
0% -4% -4% -8%
Base: 8,408(CY), 14,856(PY)
Connection Type
All Internet Users
Change from PY
24 Hrs Broadband
39%
8%
Broadband Dial Up
31%
4%
Regular Dial Up
12%
-4.2%
Mobile Connection
10%
4%
2%
0.6%
Wi Fi Connection Lease/Dedicated line
0.5%
0.0%
Don't Know
3%
-4.1%
Others
3%
1%
60
India Online 2008
Chart 26: Type of internet connection at office Current Year 80%
Broadband
Regular Dial Up
Others
68%
60% 40% 20%
12%
5%
0% All Internet Users
Base: 8,372
Chart 17: Type of internet connection at office Change from PY
8%
6%
4% 0% -1%
-2%
-4%
Base: 8,372(CY), 19,740(PY)
Connection Type
All Internet Users
Change from PY
24 Hrs Broadband
36%
6%
Broadband Dial Up
27%
2%
Regular Dial Up
5%
-1.9%
Wi Fi Connection
5%
3%
Lease/Dedicated line
5%
-1.3%
Mobile Connection Don't Know Others
3%
1%
15%
-3.2%
3%
1%
61
Main Report
Chart 27: Type of internet connection at cyber café Current Year
Broadband
Regular Dial Up
Others
80% 62% 60% 40% 20%
4%
4%
0% All Internet Users
Base: 4,609
Connection Type
All Internet Users
Broadband Dial Up
36%
24 Hrs Broadband
24%
Regular Dial Up
4%
Mobile Connection
2%
Lease/Dedicated line
1%
Wi Fi Connection
0.9%
Don't Know
30%
Others
2%
62
India Online 2008
Chart 28: Type of internet connection in transit Current Year
Broadband
Regular Dial Up
Others 56%
60%
40% 22% 20% 6% 0% All Internet Users
Base: 217
Connection Type
All Internet Users
Mobile Connection
46%
24 Hrs Broadband
12%
Broadband Dial Up
10%
Wi Fi Connection Regular Dial Up Don't Know Others
7% 6% 17% 2%
63
Main Report
Chart 29: Service provider subscribed to at home Current Year
BSNL/Sancharnet
Airtel/Bharti
Local Cable Operator
50% 40%
38%
30% 19%
20%
9%
10% 0% All Internet Users
Base: 8,408
Chart 18: Service provider subscribed to at home Change from PY 4%
3%
3% 1%
2%
1%
1% 0%
Base: 8,408(CY), 14,856(PY)
Service Provider
All Internet Users
Change from PY
BSNL/Sancharnet
38%
3%
Airtel/Bharti
19%
1%
Local Cable Operator
9%
1%
VSNL / Tata
7%
-2.8%
Reliance
7%
0.9%
Sify
4%
-2.3%
MTNL
4%
-1.9%
Spectranet
0.1%
0.0%
Don't Know
8%
3%
Others
5%
-1.7%
64
India Online 2008
Chart 30: Service provider subscribed to at office Current Year
BSNL/Sancharnet
Airtel/Bharti
VSNL / Tata
40% 30%
26%
20%
16% 10%
10% 0% All Internet Users
Base: 8,372
Chart 19: Service provider subscribed to at office Change from PY 2% 1%
1% 0% -1% -2% -3%
-2% -2%
Base: 8,372(CY), 19,740(PY)
Service Provider
All Internet Users
Change from PY
BSNL/Sancharnet
26%
-2.0%
Airtel/Bharti
16%
0.5%
Local Cable Operator
10%
-1.6%
VSNL / Tata
6%
0.1%
Reliance
4%
-0.2%
Sify
4%
-0.9%
MTNL
3%
-1.9%
Spectranet
0.2%
-0.1%
Don't Know
28%
9%
5%
-2.8%
Others
65
Main Report
Chart 31: Service provider subscribed to at cyber café Current Year 20%
BSNL/Sancharnet
Sify
Airtel/Bharti
18%
10% 10%
8%
0% All Internet Users
Base: 4,609
Service Provider
All Internet Users
BSNL/Sancharnet
18%
Sify
10%
Airtel/Bharti
8%
VSNL / Tata
4%
Reliance
4%
Local Cable Operator
3%
MTNL
1%
Spectranet
0.1%
Don't Know
48%
Others
3%
66
India Online 2008
Chart 32: Service provider subscribed to in transit Current Year
BSNL/Sancharnet
Airtel/Bharti
VSNL / Tata
40% 30%
26%
20%
16% 10%
10% 0% All Internet Users
Base: 217
Service Provider
All Internet Users
Airtel/Bharti
26%
Reliance
11%
VSNL / Tata
10%
BSNL/Sancharnet
9%
Sify
4%
MTNL
3%
Local Cable Operator
0.4%
Spectranet
0.2%
Don't Know
19%
Others
17%
67
Main Report
Net Usage Dynamics Chart 33: Frequency of accessing internet from home Current Year 100%
At least once daily Less than once a week
Weekly, but not daily
89%
80% 60% 40% 20%
9%
2%
0% All Internet Users
Base: 8,408
Chart 20: Frequency of accessing internet from home Change from PY 10%
5%
5% 0% -0.4% -5% -5% -10%
Base: 8,408(CY), 14,231(PY)
68
India Online 2008
Chart 34: Frequency of accessing internet from office Current Year 100%
At least once daily Less than once a week
Weekly, but not daily
85%
80% 60% 40% 13%
20%
2%
0% All Internet Users
Base: 8,372
Chart 21: Frequency of accessing internet from office Change from PY 2%
1%
1% 1% 0% -1% -1% -2%
-0.4% -1%
Base: 8,372(CY), 17,617(PY)
69
Main Report
Chart 35: Frequency of accessing internet from cyber café Current Year
At least once daily Less than once a week 46%
50% 40%
Weekly, but not daily
33%
30%
21%
20% 10% 0% All Internet Users
Base: 4,609
70
India Online 2008
Chart 36: Frequency of accessing internet in transit Current Year
At least once daily Less than once a week
Weekly, but not daily
80% 63% 60% 40% 24% 13%
20% 0% All Internet Users
Base: 217
71
Main Report
Chart 37: Time of the day accessing internet from home Current Year
9.00 AM -6.00 PM
6.00 PM - 12.00 M idnight
60%
Throughout the Day
49%
40% 23%
18% 20%
0% All Internet Users
Base: 8,408
Chart 22: Time of the day accessing internet from home Change from PY 6%
5%
3% 0% -3%
-2%
-6%
-5%
Base: 8,408(CY), 13,905(PY)
Time
All Internet Users
Change from PY
Before 9.00 AM
7%
2%
9.00 AM-12.00 Noon
9%
2%
12.00 Noon - 3.00 PM
5%
-1.7%
3.00 PM-6.00 PM
4%
-1.8%
6.00 PM - 9.00 PM
17%
-1.2%
9.00 PM - 12.00 Midnight
32%
-3.5%
After 12.00 Midnight
3%
-0.6%
Throughout the Day
23%
5%
72
India Online 2008
Chart 38: Time of the day accessing internet from office Current Year 9.00 AM -6.00 PM 60%
6.00 PM - 12.00 M idnight
Throughout the Day
53%
40%
31%
20%
12%
0% All Internet Users
Base: 8,372
Chart 23: Time of the day accessing internet from office Change from PY 3% 2%
2% 1%
0.2%
0% -1% -2% -3%
-2%
Base: 8,372(CY), 17,680(PY)
Time Before 9.00 AM
All Internet Users
Change from PY
3%
0.3%
9.00 AM-12.00 Noon
26%
4%
12.00 Noon - 3.00 PM
18%
-2.4%
3.00 PM-6.00 PM
9%
-4.3%
6.00 PM - 9.00 PM
5%
-2.9%
9.00 PM - 12.00 Midnight
7%
3%
After 12.00 Midnight
2%
0.5%
Throughout the Day
31%
2%
73
Main Report
Chart 39: Time of the day accessing internet from cyber café Current Year 9.00 AM -6.00 PM
6.00 PM - 12.00 M idnight
Throughout the Day
60% 44%
43% 40%
20%
12%
0% All Internet Users
Base: 4,609
Time Before 9.00 AM
All Internet Users 2%
9.00 AM-12.00 Noon
13%
12.00 Noon - 3.00 PM
13%
3.00 PM-6.00 PM
17%
6.00 PM - 9.00 PM
29%
9.00 PM - 12.00 Midnight
15%
After 12.00 Midnight
0.2%
Throughout the Day
12%
74
India Online 2008
Chart 40: Time of the day accessing internet in transit Current Year 9.00 AM -6.00 PM
6.00 PM - 12.00 M idnight
Throughout the Day
50% 39% 40% 30%
28%
26%
20% 10% 0% All Internet Users
Base: 217
Time
All Internet Users
Before 9.00 AM
5%
9.00 AM-12.00 Noon
9%
12.00 Noon - 3.00 PM
12%
3.00 PM-6.00 PM
6%
6.00 PM - 9.00 PM
4%
9.00 PM - 12.00 Midnight
35%
After 12.00 Midnight
2%
Throughout the Day
26%
75
Main Report
Chart 41: Duration of PC usage from home Current Year 60%
Light users
M edium users
Heavy users
57%
40% 27% 16%
20%
0% All Internet Users
Base: 8,408
Change from PY 2%
1%
1% 0% -1%
-0.4% -1%
-2%
Chart 24: Duration of PC usage from home Base: 8,408(CY), 15,214(PY)
76
India Online 2008
Chart 42: Duration of internet usage on weekday from home Rural Internet Users
Urban Internet Users
50% 35.80%
40% 32.10%
35.00%
30%
36.00% 32.10%
29.00% 20% 10% 0% Light users
Medium users
Heavy users
Base: 8,408
77
Main Report
Chart 43: Duration of internet usage on weekend from home Rural Internet Users
Urban Internet Users
60%
58.60% 50.70%
40% 26.10% 20%
23.10% 23.30%
18.20% 0% Light users
Medium users
Heavy users
Base: 8,408
78
India Online 2008
Chart 44: Duration of PC usage from office Current Year
Light users
M edium users
Heavy users
60% 45% 40%
33% 22%
20%
0% All Internet Users
Base: 8,372
Chart 25: Duration of PC usage from office Change from PY 20%
14%
10% 0% -1% -10% -20%
-14%
Base: 8,372(CY), 18,200(PY)
79
Main Report
Chart 45: Duration of internet usage on weekday from office Rural Internet Users
Urban Internet Users
50% 40.00% 40.30%
40% 30.50% 30%
36.10%
20%
29.40% 23.70%
10% 0% Light users
Medium users
Heavy users
Base: 8,372
80
India Online 2008
Chart 46: Duration of internet usage on weekend from office Rural Internet Users
Urban Internet Users
60% 51.40% 48.70% 40% 28.20% 23.10% 20%
28.20% 20.40%
0% Light users
Medium users
Heavy users
Base: 8,372
81
Main Report
Chart 47: Duration of PC usage from cyber café Current Year 80%
Light users
M edium users
Heavy users
71%
60% 40% 24% 20% 5% 0% All Internet Users
Base: 4,609
82
India Online 2008
Chart 48: Duration of internet usage on weekday from cyber café Rural Internet Users
Urban Internet Users
60% 49.50% 42.70% 40%
43.30% 39.90%
20% 14.00% 10.60% 0% Light users
Medium users
Heavy users
Base: 4,609
83
Main Report
Chart 49: Duration of internet usage on weekend from cyber café Rural Internet Users
Urban Internet Users
60%
37.90% 40% 31.80% 30.70%
36.40% 31.40% 31.80%
20%
0% Light users
Medium users
Heavy users
Base: 4,609
84
India Online 2008
Chart 50: Duration of PC usage during transit Current Year 80%
Light users
M edium users
Heavy users
67%
60% 40%
28%
20%
5%
0% All Internet Users
Base: 217
85
Main Report
Chart 51: Duration of internet usage on weekday during transit Rural Internet Users
Urban Internet Users
60% 55.70%
53.90%
40% 36.20% 25.00% 20% 19.30%
9.90%
0% Light users
Medium users
Heavy users
Base: 217
86
India Online 2008
Chart 52: Duration of internet usage on weekend during transit Rural Internet Users
Urban Internet Users
100% 90.10% 80% 60% 40% 45.30% 20%
9.90%
27.60% 27.00% 0.00%
0% Light users
Medium users
Heavy users
-20%
Base: 217
87
Main Report
Chart 53: Time spent by internet users on watching TV Current Year 50%
Light users
M edium users
Heavy users
47% 40%
40% 30% 20%
14%
10% 0% All Internet Users
Base: 15,875
Chart 26: Time spent by internet users on watching TV Change from PY 5% 3% 1% 0%
-5%
-3%
Base: 15,875(CY), 21,962(PY)
88
India Online 2008
Chart 54: Time spent by internet users on reading newspaper Current Year 60%
Light users
M edium users
Heavy users
51% 36%
40%
20%
13%
0% All Internet Users
Base: 15,875
Chart 27: Time spent by internet users on reading newspaper Change from PY 6%
5%
3%
-0.2%
0% -3% -6%
-5%
Base: 15,875(CY), 22,501(PY)
89
Main Report
Chart 55: Time spent by internet users on listening to radio Current Year 80%
Light users
M edium users
Heavy users
69%
60%
40% 21% 20%
10%
0% All Internet Users
Base: 15,875
Chart 28: Time spent by internet users on listening to radio Change from PY 3% 2%
2%
0.4%
1% 0% -1% -2% -3%
-2%
Base: 15,875(CY), 14,785(PY)
90
India Online 2008
Preferred Net Activities Table 19: Popularity of various internet activities Activity
All Internet Users
Change from PY
Emailing
91%
-4.1%
Social media platform users*
81%
Job Search
72%
-1.7%
Instant messaging/chatting
70%
9%
Check news
63%
2%
Check Sports
57%
-0.7%
Download music/movies
54%
25%
Dating/Friendship
50%
-1.5%
Check cricket score*
50%
Matrimonial search
49%
English info search engine*
49%
Listen to/Buy Music
48%
-11.6%
Share pictures
45%
5%
Check business/financial news
43%
13%
Social networking / Communities
43%
-0.3%
Screensavers/wallpapers
43%
-2.5%
Online games
43%
-11.2%
E-greetings
41%
-16.3%
Astrology
38%
-7.8%
Check financial info
38%
-7.6%
Check cinema content
37%
9%
Mobile contents (ring tones, etc.)
37%
-13.2%
Video Sharing*
36%
Educational / Learning material
35%
Send/receive email using mobile handset*
34%
Professional networking*
33%
Local language search engine
33%
21%
Check hobby related info
32%
0.9%
Search/Buy travel products
31%
-12.3%
Visit Online stock trading
31%
18%
Check health & lifestyle info
30%
0.3%
Net banking
29%
-0.8%
Check real estate info
29%
-8.1%
Net telephony
27%
15%
Check / read blogs
27%
0.6%
Search/Buy other than travel products
25%
0.2%
Buy/Rent Movie CD/DVD*
22%
1%
-12.4%
91
Main Report
Activity
All Internet Users
Change from PY
Adult content
20%
2%
Pay bills online
19%
-3.5%
Online stock trading*
11%
Comment on blog post
10%
-1.6%
Have a blog site of own
8%
1%
Base: 15,875(CY), 14,253(PY)
92
India Online 2008
Chart 56: Online shopping Current Year
Buyers
Non-Buyers 77%
80% 60% 40% 23% 20% 0% All Internet Users
Base: 15,875
Chart 29: Online shopping Change from PY 20%
30% 20% 10% 0% -10% -20% -20%
-30%
Base: 15,875(CY), 14,253(PY)
Online Shopping
All Internet Users
Change from PY
Searched only
57%
24%
Both searched and bought
23%
-20.2%
Neither searched nor bought
20%
-3.9%
93
Main Report
Chart 57: Response to online marketing stimulus Current Year
Participated in an online contest
Clicked a sponsored search ad
Clicked a banner ad 80% 60% 60%
56%
53%
40% 20% 0% All Internet Users
Base: 9,160
Chart 30: Response to online marketing stimulus Change from PY 25% 20%
17%
20%
15% 10%
6%
5% 0%
Base: 9,160(CY), 10,888(PY)
Response
All Internet Users
Change from PY
Participated in an online contest
60%
17%
Clicked a sponsored search ad
56%
20%
Clicked a banner ad
53%
6%
Subscribe to online newsletters*
46%
Clicked a product/service e-mailer
33%
Received viral ad from someone*
18%
Forwarded viral ad to someone* None of the above
19%
6% 0.7%
-26.4%
94
India Online 2008
Chart 58: Blogging activities Current Year
Check/read blogs
30%
Comment on blog post
Have a blog site of own
28%
20% 10% 8%
10%
0% All Internet Users
Base: 15,875
Chart 31: Blogging activities Change from PY 2% 1%
1%
1%
0% -1% -2%
-2%
-3%
Base: 15,875(CY), 14,253(PY)
95
Main Report
Chart 59: Frequency of reading blog Current Year
2-5 times a Day
Once Daily
Once In 2-3 Days
Once a Week
29%
30%
17%
20% 14%
14%
10%
0% All Internet Users
Base: 4,760
96
India Online 2008
Chart 60: Member of an online community Current Year 60%
Not a member of any online community M ember of an online community 52%
48%
40%
20%
0% All Internet Users
Base: 15,875
Chart 32: Member of an online community Change from PY 7%
8% 4% 0% -4% -8%
-7%
Base: 15,875(CY), 14,253(PY)
97
Main Report
Table 20: Membership by type of online community Membership
All Internet Users
Change from PY
52%
-7.0%
Alumni & Schools
7%
-0.1%
Computers & Internet
7%
1%
Schools & Education
5%
2%
Business / Professional community
4%
0.6%
Romance & Relationships
3%
-1.3%
Individuals
3%
0.8%
Games
3%
0.4%
Music
3%
-0.1%
Arts & Entertainment
2%
0.2%
Company
2%
0.3%
Cultures & Community
2%
0.1%
Travel
1%
0.5%
Religion & Beliefs
1%
0.5%
Health, Wellness & Fitness
1%
0.3%
Countries & Regional
0.8%
0.4%
Family & Home
0.8%
0.3%
Hobbies & Crafts
0.7%
0.3%
Science & History
0.7%
-0.1%
Automotive
0.5%
0.0%
Food, Drink & Wine
0.5%
0.4%
Fashion & Beauty
0.4%
0.0%
Recreation & Sports
0.3%
0.0%
Cities & Neighborhoods
0.2%
0.0%
Gay, Lesbian & Bi
0.2%
0.0%
Government & Politics
0.2%
0.0%
Pets & Animals
0.2%
0.0%
Not a member of any online community
Base: 15,875(CY), 14,253(PY)
98
India Online 2008
Chart 61: Usage of other language website Current Year
Use only English websites
Use other language websites
80% 62% 60% 34%
40% 20% 0% All Internet Users
Base: 15,875
Chart 33: Usage of other language website Change from PY 22%
30% 20% 10% 0% -10% -20% -30%
-27%
Base: 15,875(CY), 14,253(PY)
99
Main Report
Chart 62: Problems faced while surfing the internet Website not opening/opening slowly
Current Year
Spam/Junk M ails
80%
M ails with virus/Spyware 60%
59% 42%
39%
40% 20% 0% All Internet Users
Base: 15,875
Chart 34: Problems faced while surfing the internet Change from PY 0% -5%
-2%
-10%
-7% -10%
-15%
Base: 15,875(CY), 14,252(PY)
Problem
All Internet Users
Change from PY
Website not opening/opening slowly
59%
-2.1%
Spam/Junk Mails
42%
-7.2%
Mails with virus/Spyware
39%
-10.0%
Unsolicited ads/pop-ups
37%
-7.6%
Difficulty in getting connected
31%
-4.0%
No response to queries on websites
23%
-3.5%
Cumbersome navigation in websites
12%
0.0%
Don't have relevant local language content
11%
3%
Never faced any problem
11%
3%
100
India Online 2008
Most Used Websites Table 21: Top of mind unaided recall - all websites Website
All Internet Users
Change from PY
Google
37%
9%
Yahoo
32%
2%
Rediff
7%
-4.1%
Orkut
6%
1%
Gmail
6%
3%
Indiatimes
2%
0.7%
Hotmail
1%
-0.5%
Moneycontrol
0.8%
0.4%
Naukri
0.7%
0.2%
Sify
0.6%
0.1%
Ebay
0.6%
0.3%
Cricinfo
0.5%
0.4%
Nokia
0.4%
0.1%
Microsoft
0.4%
0.0%
Way2sms*
0.4%
Zapak*
0.4%
You tube
0.3%
0.1%
MSN
0.3%
-0.2%
Indya*
0.3%
Wikipedia
0.3%
0.0%
WWE
0.3%
0.0%
Sony*
0.3%
Monster
0.2%
-0.1%
ICICIbank
0.2%
0.0%
Manoramaonline
0.2%
0.1%
HPindia*
0.2%
Espnstar*
0.2%
Ebizel*
0.2%
ICICIdirect
0.1%
0.0%
NDTV
0.1%
-0.1%
Freshersworld*
0.1%
Ibibo*
0.1%
Airtel*
0.1%
BSE India*
0.1%
Timesofindia*
0.1%
IRCTC*
0.1%
Timesjob*
0.1%
Sharekhan*
0.1%
NSEindia*
0.1%
Reliance*
0.1%
101
Main Report
Website
All Internet Users
Makemytrip*
0.1%
BSNL*
0.1%
Raaga*
0.1%
Contest2win*
0.1%
Santabanta*
0.1%
Indianrailways*
0.1%
CBSE*
0.0%
Download*
0.0%
Indiaplaza*
0.0%
HDFC*
0.0%
Others*
0.9%
Change from PY
Base: 13,801(CY), 24,433(PY)
102
India Online 2008
Table 22: Most used website - all websites Website
All Internet Users
Google
28%
Yahoo
28%
Gmail
9%
Rediff
9%
Orkut
8%
Indiatimes
1%
Hotmail
1%
Moneycontrol
0.8%
Sify
0.7%
Naukri
0.4%
Zapak
0.4%
Icicibank
0.4%
MSN
0.3%
Wikipedia
0.3%
Monster
0.3%
Icicidirect
0.2%
Youtube
0.2%
Bseindia
0.2%
Sharekhan
0.2%
Indyarocks
0.2%
Ebizel
0.2%
Cricinfo
0.1%
Facebook
0.1%
Ibnlive
0.1%
Ebay
0.1%
Others
11%
Base: 15,819
103
Main Report
Table 23: Preferred websites - emailing Website
All Internet Users
Change from PY
Yahoo
51%
-2.3%
Gmail
31%
11%
Rediff
13%
-5.4%
Hotmail
3%
-2.7%
Indiatimes
1%
0.3%
Sify
0.9%
-0.1%
AOL
0.4%
0.3%
Zapak
0.1%
0.1%
VSNL
0.1%
-0.4%
Lycos
0.1%
-0.1%
Sancharnet/BSNL
0.0%
-0.7%
Base: 14,500(CY), 25,060(PY)
104
India Online 2008
Table 24: Info search (English) Website
All Internet Users
Change from PY
Google
81%
6%
Yahoo
7%
-2.2%
Wikipedia
3%
1%
English
3%
-0.5%
Rediff
2%
-0.4%
Dictionary
1%
0.1%
Altavista*
0.7%
Oxford*
0.6%
Answers*
0.4%
MSNLive
0.4%
-0.6%
Indiatimes
0.3%
-0.2%
Ask*
0.3%
BBC*
0.2%
Sify*
0.2%
Others
0.7%
-3.9%
Base: 8,117(CY), 7874(PY)
105
Main Report
Table 25: Info search (local language) Website
All Internet Users
Change from PY
Google
65%
-9.4%
Yahoo*
12%
Rediff*
4%
Teluguone*
2%
Guruji
1%
-0.4%
MSN
1%
0.3%
Sify*
1%
Raftaar*
1%
Hindi*
1%
Webduniya
1%
Tamil*
0.8%
Manoramaonline
0.8%
Indiatimes*
0.8%
Khoj
0.7%
Marathiworld*
0.7%
Wikipedia*
0.5%
Webulagam*
0.4%
Eenadu*
0.3%
Others
1%
None*
4%
-0.3%
-0.9%
-0.5%
-13.5%
Base: 5,007(CY), 3853(PY)
106
India Online 2008
Table 26: Job search Website
All Internet Users
Change from PY
Naukri
42%
5%
Monster
25%
-2.3%
Timesjobs
16%
2%
Google
5%
-0.5%
Yahoo
4%
1%
Freshersworld
2%
0.2%
Rediff
2%
-0.3%
Jobs
1%
-0.1%
Jobstreet
0.7%
0.0%
Jobsahead
0.4%
-0.7%
Clickjobs
0.7%
-0.2%
Jobsearch*
0.3%
Onlinejobs*
0.3%
Efreshers*
0.2%
Others
2%
-3.3%
Base: 11,351(CY), 10,387(PY)
107
Main Report
Table 27: Search or buy travel products Website
All Internet Users
Change from PY
Google
22%
11%
Yatra
14%
-1.6%
Yahoo
10%
2%
Makemytrip
10%
-6.9%
IRCTC
10%
-5.9%
Rediff
8%
4%
Travel
6%
4%
Travelguru
6%
3%
Cleartrip
2%
0.3%
Indiatimes
2%
-0.9%
Ezeego1*
1%
Rajtravels
0.6%
-0.1%
Travel India
0.5%
-0.3%
Airdeccan
0.4%
-1.3%
Spicejet
0.4%
0.0%
Cox&Kings*
0.3%
Flykingfisher
0.2%
0.0%
Travelocity
0.2%
0.0%
Goair
0.2%
-0.2%
Indiatravels
0.1%
-0.2%
5%
-3.8%
Others
Base: 5,546(CY), 7,089(PY)
108
India Online 2008
Table 28: Buy travel products Website
All Internet Users
Yatra
18%
Makemytrip
16%
IRCTC
13%
Google
11%
Travelguru
4%
Cleartrip
4%
Travel
4%
Yahoo
4%
Rediff
3%
Ezeego1
2%
Indiatimes
2%
Airdeccan
0.8%
Rajtravels
0.6%
Spicejet
0.6%
Cox&Kings
0.5%
Goair
0.4%
Indiatravels
0.2%
Travelocity
0.2%
Flykingfisher
0.1%
Travel India
0.0%
Others
16%
Base: 2,031
109
Main Report
Table 29: Search or buy non-travel products Website
All Internet Users
Google
34%
Ebay
21%
Rediff
17%
Yahoo
14%
Indiatimes
5%
Futurebazaar
4%
Sify
2%
Indiaplaza
1%
Homeshop18
1%
Amazon
1%
Base: 4,201
110
India Online 2008
Table 30: Buy non-travel products Website
All Internet Users
Ebay
33%
Rediff
19%
Google
17%
Indiatimes
8%
Futurebazaar
8%
Yahoo
6%
Indiaplaza
4%
Sify
3%
Homeshop18 Amazon
2% 0.9%
Base: 1,476
111
Main Report
Table 31: Online news Website
All Internet Users
Change from PY
Yahoo
16%
2%
Google
10%
2%
NDTV
9%
-2.5%
Rediff
9%
-0.1%
Indiatimes
8%
0.7%
Timesofindia
6%
3%
Aajtak
3%
-1.6%
BBC
3%
-1.5%
Ibnlive
3%
0.2%
Eenadu
3%
1%
News*
3%
Manoramaonline
2%
-0.2%
Thehindu
2%
-0.2%
MSN
2%
-1.4%
CNN
2%
-1.5%
Dinamalar
2%
0.7%
Sify
1%
-0.8%
Zeenews
1%
-0.6%
Jagran
1%
-0.2%
TV9
0.9%
0.0%
Hindustantimes
0.8%
0.1%
CNBC
0.8%
-0.2%
Midday*
0.6%
Lokmat*
0.6%
Moneycontrol
0.5%
Josh18*
0.5%
Starnews*
0.5%
Bhaskar*
0.5%
Economictimes
0.4%
Times*
0.4%
AOL*
0.4%
DD News*
0.4%
Amarujala*
0.4%
Webduniya*
0.4%
Esakal*
0.3%
Dinakaran*
0.3%
Samachar*
0.2%
Timesnow*
0.2%
Deccanherald*
0.2%
Others
5%
0.0%
0.0%
-4.3%
Base: 10,128(CY), 8,509(PY)
112
India Online 2008
Table 32: Financial news & info (rates, quotes, etc.) Website
All Internet Users
Change from PY
Moneycontrol/CNBC
18%
5%
Google
15%
2%
Yahoo
13%
0.5%
Rediff
8%
2%
ICICIDirect
6%
-0.6%
BSEindia*
6%
Sharekhan
6%
2%
Stockmarket
4%
1%
NSE
3%
1%
Financialnews
2%
0.8%
NDTV/NDTVprofit
2%
-2.1%
Reliancemoney
2%
1%
Indiatimes
1%
-2.5%
Amfiindia*
1%
Mutualfundsindia*
1%
SBI*
1%
HDFC
0.9%
0.1%
Sify
0.9%
-0.7%
Indiabulls
0.9%
-0.2%
Indiainfoline
0.8%
0.3%
Kotaksecurities
0.7%
0.1%
ICICIprudential*
0.7%
Economictimes
0.6%
-2.7%
Business
0.6%
-0.7%
LIC*
0.5%
Valueresearch
0.4%
0.0%
Equitymaster
0.4%
0.0%
Religareonline*
0.4%
MSN*
0.3%
Axisbank*
0.3%
Authorstream*
0.3%
Citibank*
0.2%
Myiris*
0.2%
Geojit*
0.2%
Others
3%
-11.3%
Base: 6,264(CY), 6,207(PY)
113
Main Report
Table 33: Search shares and stocks online Website
All Internet Users
Change from PY
Google*
14%
ICICI Direct
14%
-22.4%
Sherkhan
12%
-9.6%
Yahoo*
10%
Rediff*
6%
BSE
5%
Moneycontrol*
5%
Reliancemoney
4%
Stock*
4%
Indiabulls
3%
-3.4%
Kotaksecurities
3%
-1.2%
NSE
2%
-0.5%
hdfcsec
2%
-0.4%
Religare
2%
-1.9%
5Paisa
1%
-1.7%
Investmentz*
1%
Indiatimes*
1%
Indiainfoline*
1%
2%
3%
NDTV*
0.9%
Stocktrading*
0.8%
GCItrading*
0.8%
Geojit
0.7%
Sify*
0.7%
Karvy
0.6%
0.1%
6%
-6.5%
Others
-1.7%
Base: 5,203(CY), 1,558(PY)
114
India Online 2008
Table 34: Online share trading Website
All Internet Users
Change from PY
ICICI Direct
23%
-13.3%
Sherkhan
14%
-7.9%
Reliancemoney*
8%
Kotaksecurities*
8%
Indiabulls*
5%
Hdfcsec*
4%
Religare
3%
0.2%
5Paisa
2%
0.1%
Indiainfoline
2%
-5.1%
Geojit
1%
-2.6%
Stock
1%
-0.2%
Karvy
0.9%
-2.6%
Stocktrading*
0.7%
Investmentz
0.4%
Motilaloswal*
0.2%
Others
1%
None*
26%
-2.1%
-1.9%
Base: 1,143(CY), 1,558(PY)
115
Main Report
Table 35: Real estate info Website
All Internet Users
Change from PY
Google
23%
5%
99acres
14%
4%
Yahoo
14%
0.2%
Magicbricks
13%
-1.8%
Realestates
12%
2%
Rediff
7%
0.5%
Makaan*
5%
Indiaproperty
3%
-2.1%
Property
3%
-0.4%
Sulekha
1%
0.4%
Indiatimes
1%
-1.3%
Zillow*
0.9%
Sify
0.7%
Manoramaonline*
0.5%
Others
3%
-0.4%
-9.0%
Base: 4,776(CY), 5,129(PY)
116
India Online 2008
Table 36: Matrimonial search Website
All Internet Users
Change from PY
Bharatmatrimony
36%
7%
Shaadi
34%
6%
Jeevansaathi
8%
3%
Yahoo
4%
-1.0%
Google
4%
-1.7%
Matrimonial
4%
2%
Simplymarry
3%
0.3%
Matrimony
2%
-2.3%
Rediff
2%
-1.3%
Indiatimes
0.5%
-0.3%
Indianmatrimony*
0.4%
Secondshaadi*
0.2%
Others
2%
-2.7%
Base: 7,519(CY), 6,675(PY)
117
Main Report
Table 37: Dating/friendship search Website
All Internet Users
Change from PY
Orkut
54%
18%
Yahoo
20%
-2.8%
Rediff
4%
-2.4%
Fropper
3%
0.2%
Ibibo*
2%
Friendfinder
2%
0.1%
Friends
1%
0.1%
Indyarocks*
1%
Hi5
1%
-0.4%
Indiatimes
1%
-0.7%
Adultfriendfinder
1%
-0.5%
1%
0.1%
Friendship Perfspot*
0.8%
Facebook*
0.7%
Wayn*
0.7%
Dating*
0.6%
MSN
0.5%
-0.5%
Tagged
0.5%
-0.5%
Bigadda*
0.5%
Myspace*
0.4%
Match*
0.3%
Date*
0.3%
Friendster*
0.3%
Way2SMS*
0.3%
Minglebox*
0.2%
Adultfinder*
0.2%
Sify*
0.1%
Others
2%
-7.7%
Base: 7,647(CY), 7,084(PY)
118
India Online 2008
Table 38: Social networking/communities Website
All Internet Users
Change from PY
Orkut
66%
2%
Yahoo
13%
-2.7%
Rediff*
4%
Ibibo*
3%
Social Networking*
3%
Facebook*
2%
Communities
1%
0.2%
Hi5
0.9%
0.0%
Fropper
0.9%
0.5%
Indiatimes*
0.8%
Commoncraft*
0.8%
Indyarocks*
0.6%
Sify*
0.5%
Bigadda*
0.5%
Perfspot*
0.3%
Myspace
0.3%
Wayn*
0.3%
Minglebox*
0.3%
MSN*
0.2%
Linkedin*
0.2%
Friends*
0.2%
Bharatstudent*
0.2%
Others
2%
-0.3%
-12.3%
Base: 7,147(CY), 5,227(PY)
119
Main Report
Table 39: Online gaming Website
All Internet Users
Change from PY
Zapak
32%
15%
Yahoo
20%
2%
Games
9%
2%
Google
9%
-0.1%
Miniclip
5%
0.8%
Onlinegames
4%
3%
Rediff
2%
-1.3%
Contest2Win
2%
-1.2%
Freeonlinegames
2%
0.9%
Indiatimes
1%
-0.3%
Games2win
1%
-0.1%
Indiagames
0.8%
-2.3%
Cartoonnetwork
0.7%
0.1%
Sports*
0.7%
Indyarocks*
0.6%
Stickcricket
0.5%
0.1%
MSN
0.5%
-1.2%
Pogo*
0.5%
Sify
0.5%
-0.2%
Arcade
0.5%
0.3%
EAsports*
0.5%
Freegames
0.4%
-0.2%
Gamesonline
0.4%
0.0%
Bigfishgames
0.3%
-0.5%
Funtoosh
0.3%
-0.1%
Gamezone
0.3%
0.1%
Download
0.3%
-1.1%
Orkut*
0.3%
Shockwave*
0.3%
Worldwinner*
0.3%
Cricinfo*
0.3%
Funmaza
0.2%
Myplaywin*
0.2%
Santabanta
0.2%
Hungama*
0.2%
Casino*
0.2%
Egglad*
0.2%
Aol*
0.2%
King*
0.2%
Net2money*
0.2%
Doof*
0.2%
Bugzu*
0.2%
Toondisneyindia*
0.2%
Chess*
0.1%
-0.3%
-0.2%
120
India Online 2008
Website
All Internet Users
Gamespot*
0.1%
Cricket*
0.1%
Sudoku*
0.1%
Gamehouse*
0.1%
Orangeshark*
0.1%
Ibibo*
0.1%
Mousebreaker*
0.1%
Realarcade*
0.1%
Playgames*
0.0%
Others
2%
Change from PY
-15.5%
Base: 6,685(CY), 7,383(PY)
121
Main Report
Table 40: Download mobile content Website
All Internet Users
Change from PY
Yahoo
12%
-2.4%
Nokia
11%
2%
Google
10%
0.2%
Rediff
10%
-2.7%
Mobile9
7%
3%
Funmaza
5%
2%
Indiatimes
4%
-3.2%
Zedge
3%
1%
Way2SMS*
3%
Ringtones
3%
0.0%
Airtel
3%
0.2%
Sify
3%
0.9%
Mobango*
2%
Hutch
2%
Mp3*
2%
Sonyericsson
1%
0.1%
Mobileringtones
1%
0.4%
Getjar
1%
0.4%
SongPk
1%
1%
Raaga
0.9%
0.7%
Masti4India
0.8%
0.1%
Indyarocks*
0.8%
Reliancemobileworld*
0.7%
Waptrick*
0.7%
Cooltoad
0.7%
160by2*
0.7%
Freeringtones
0.6%
Hungama*
0.6%
Ebay*
0.5%
GSMArena*
0.5%
Tagtag*
0.5%
Tataindicom*
0.5%
Download
0.4%
-0.2%
Mauj
0.4%
-0.1%
Mobiles24*
0.4%
Samsungmobile*
0.4%
BSNL*
0.4%
Santabanta
0.3%
Motorola*
0.3%
Idea*
0.3%
Univercell*
0.3%
Youmint*
0.3%
ApnilSP*
0.3%
Others None
-1.4%
0.0% 0.0%
-0.5%
4%
-10.1%
0.6%
0.6%
Base: 5,512(CY), 6,912(PY)
122
India Online 2008
Table 41: Preferred instant messaging applications Website
All Internet Users
Change from PY
Yahoo
53%
-10.1%
Google Talk
29%
15%
Rediffbol
9%
-1.4%
MSN
4%
-1.9%
Way2sms*
2%
Meebo
1%
Indyarocks*
-0.1%
1%
Skype
0.6%
160by2*
0.5%
Indiatimes
0.4%
Fropper*
0.2%
AIM*
0.2%
Ibibo*
0.2%
Others
0.1%
None*
0.3%
0.0%
0.0%
-2.7%
Base: 11,162(CY), 8,632(PY)
123
Main Report
Table 42: Download music Website
All Internet Users
Change from PY
Raaga
17%
-5.3%
Google
9%
2%
Yahoo
7%
-2.3%
Music
7%
3%
Mp3
6%
4%
Songs
6%
4%
Youtube
4%
2%
Musicindiaonline
4%
0.0%
Cooltoad
3%
-1.7%
Rediff
3%
0.2%
123music
3%
2%
Dhingana*
2%
Indiafm
2%
Sify
2%
0.6%
Smashits
1%
-0.2%
Pz10
1%
0.2%
Ebay*
1%
Funmaza
1%
0.4%
Bollywoodmusic
1%
0.1%
Mp3hungama*
1%
0.8%
Indiatimes
0.9%
-0.2%
Dishant
0.9%
-0.2%
Andhravilas
0.8%
-0.1%
Papuyaar
0.8%
-0.9%
Bollyfm
0.8%
0.1%
Apniisp
0.8%
-0.5%
Masti4India*
0.7%
Musicmazaa
0.5%
0.2%
Downloads
0.5%
0.0%
Musicworld
0.5%
0.2%
Desimusic
0.5%
0.2%
Bollyextreme*
0.5%
Limewire*
0.4%
Musiconline
0.4%
Tamilbeat*
0.4%
Itunes
0.4%
Mtv*
0.4%
MSN
0.3%
Esnips*
0.3%
Realplayer*
0.3%
Amazon*
0.3%
Oosai*
0.3%
Kannadaaudio*
0.2%
Radiomirchi*
0.2%
Others* None
-0.3% 0.0% -0.2%
6% 0.7%
-12.5%
Base: 7,384(CY), 8,142(PY)
124
India Online 2008
Table 43: Sports content Website
All Internet Users
Change from PY
Cricinfo
19%
6%
Yahoo
17%
5%
Rediff
14%
7%
Espnstarsports
14%
-14.3%
Google
7%
-0.7%
Cricketnext
4%
2%
Indiatimes
3%
0.0%
Sports
3%
-1.5%
Sify
2%
0.3%
NDTV
2%
-0.1%
Cricket*
2%
Tensports
2%
Cricbuzz*
1%
MSN
1%
Neosports*
0.7%
Timesofindia
0.6%
Vcricket*
0.6%
Manoramaonline*
0.6%
123india*
0.6%
WWE
0.4%
Zapakcricket*
0.4%
AOL*
0.3%
BBC Sports
0.3%
IPLt20*
0.3%
Cricketlive*
0.3%
Zeesports*
0.3%
Ibnlive*
0.2%
CNN*
0.2%
Hindustantimes*
0.2%
Khel*
0.1%
Others
3%
-0.5%
-0.4%
-0.1%
-1.5%
-0.5%
-5.2%
Base: 8,952(CY), 7,666(PY)
125
Main Report
Table 44: Cinema content Website
All Internet Users
Change from PY
Yahoo
14%
3%
Google
9%
0.0%
Bollywood
6%
1%
Youtube
5%
4%
Rediff
5%
0.7%
Indiafm
5%
0.6%
Movies
4%
0.9%
Raaga
4%
2%
Sify
4%
1%
Santabanta
4%
0.3%
Indiatimes
3%
-0.1%
Idlebrain
2%
0.0%
IMDB
2%
0.8%
Cinema
2%
-1.2%
Indiaglitz
2%
0.3%
PVR Cinemas
2%
-2.8%
Teluguone
2%
1%
Tamilcinemas
2%
-0.5%
Bookmyshow*
2%
Torrentz*
2%
Andhravilas
2%
0.8%
Indya
1%
0.6%
Adlabs
1%
0.4%
Zeecinemas
1%
0.2%
Cinesouth*
1%
Funcinemas
0.9%
Cinemax
0.9%
0.2%
Inoxmovies
0.8%
-0.3%
Galatta
0.8%
0.0%
Filmfare
0.8%
0.2%
Bharatmovies*
0.8%
MSN
0.7%
Manoramaonline*
0.7%
Thecinema
0.3%
NDTV*
0.3%
Glamsham*
0.3%
Hollywood*
0.3%
Smashits*
0.3%
Satyamcinema*
0.2%
Timesofindia*
0.2%
Chitraloka
0.2%
0.2%
3%
-13.2%
Others
-0.6%
-0.2% -0.7%
Base: 5,830(CY), 6,883(PY)
126
India Online 2008
Table 45: Most used websites for checking local language content (other than English) Language
All Internet Users
Change from PY
Google
16%
5%
Yahoo
14%
6%
Rediff
8%
5%
Manoramaonline*
6%
Orkut*
6%
Dainikjagran
6%
4%
Webduniya
5%
0.9%
Dinamalar*
5%
Hindi*
4%
Eeandu
4%
Raaga*
3%
Tamil*
3%
Dailythanthi
3%
Gmail*
3%
Indiatimes*
3%
Webulagam
3%
Hotmail*
3%
Amarujala*
2%
Dinakaran*
2%
Josh18*
2%
Thatstamil*
2%
Telugu*
2%
Bhaskar
2%
1%
Esakal
2%
-0.8%
Matrubhumi
2%
0.5%
Sify*
2%
Vaartha
2%
Aajtak*
2%
Marathiworld
2%
Lokmat*
2%
Teluguone*
2%
Telugupeople*
2%
Andhravilas*
2%
Idlebrain*
2%
Deepika
2%
Sandesh*
2%
Dainikbhaskar*
2%
Gujratsamachar
1%
Navbharattimes*
1%
BBC Hindi*
1%
Kumudam
1%
Greatandhra*
0.9%
Marathimati*
0.9%
-2.7%
2%
-1.0%
1%
-1.9%
0.8%
0.1%
-0.2%
127
Main Report
Language
All Internet Users
Change from PY
Andhrajyothi*
0.9%
Maharashtratimes
0.8%
Rajasthanpatrika*
0.8%
Wikipedia*
0.8%
Raftaar*
0.7%
Telugulo*
0.7%
Dinamani*
0.7%
Banglalive
0.6%
-0.9%
Epatra
0.6%
0.1%
Tamilcinema
0.6%
-2.9%
Anandabazaar
0.5%
-1.1%
Loksatta*
0.5%
Sakshi*
0.5%
Naukri*
0.5%
AOL*
0.4%
Chennaionline*
0.4%
Santabanta*
0.4%
Tamilmp3World*
0.4%
Keralakaumudi*
0.4%
Vikatan*
0.4%
Jagran
0.4%
BSE India*
0.3%
Chitralekha*
0.3%
Dharitri*
0.3%
Nilacharal*
0.3%
Tamilmovies*
0.3%
Kannadaaudio
0.2%
Kannadaprabha*
0.2%
Teluguwebsite*
0.2%
Asianetglobal*
0.2%
Devanaagarii*
0.2%
Divyabhaskar*
0.2%
Ibibo*
0.2%
Deshabhimani*
0.2%
Galatta*
0.1%
Tamilbeat*
0.1%
Thatskannada
0.1%
Udayavani*
0.1%
Thatstelugu*
0.1%
Ananda Vikatan*
0.1%
Maalaimalar*
0.1%
Mangalam*
0.1%
Maayboli*
0.1%
Naidunia*
0.1%
Dinathanthi*
0.1%
0.5%
-2.3%
-1.5%
-0.5%
128
India Online 2008
Language
All Internet Users
Hindustan*
0.1%
Telugucinema*
0.1%
Tn.Gov.In*
0.1%
Calcuttaweb*
0.1%
Jebam*
0.0%
Lankasri*
0.0%
Others*
0.1%
None*
32%
Change from PY
Base: 5,707(CY), 1,388(PY)
129
Main Report
Table 46: Most used websites for checking local language content (Hindi) Language
All Internet Users
Google
27%
Dainikjagran
26%
Yahoo
24%
Hindi
20%
Webduniya
17%
Rediff
12%
Amarujala
11%
Orkut
11%
Josh18
10%
Indiatimes
8%
Aajtak
8%
Dainikbhaskar
7%
Gmail
5%
Navbharattimes
5%
Bhaskar
5%
Hotmail
5%
BBC Hindi
4%
Rajasthanpatrika
4%
Raftaar
3%
Sify
3%
Raaga
2%
Jagran
2%
Devanaagarii
1%
AOL
0.8%
Santabanta
0.7%
Hindustan
0.7%
Naukri
0.6%
Epatra
0.5%
Naidunia
0.5%
BSE India
0.4%
Marathimati
0.4%
Marathiworld
0.4%
Wikipedia
0.3%
Maharashtratimes
0.1%
Divyabhaskar
0.1%
Others
0.2%
Base: 1,157
130
India Online 2008
Table 47: Most used websites for checking local language content (Tamil) Language
All Internet Users
Dinamalar
40%
Tamil
26%
Dailythanthi
24%
Webulagam
21%
Dinakaran
19%
Thatstamil
17%
Yahoo
12%
Google
11%
Kumudam
9%
Dinamani
6%
Tamilcinema
5%
Sify
5%
Webduniya
5%
Raaga
4%
Rediff
4%
Chennaionline
3%
Tamilmp3World
3%
Manoramaonline
3%
Vikatan
3%
Nilacharal
3%
Hotmail
2%
Gmail
2%
Orkut
2%
Tamilmovies
2%
Epatra
1%
Tn.Gov.In
1%
Galatta
1%
Tamilbeat
1%
Ananda Vikatan
0.6%
Wikipedia
0.5%
Dinathanthi
0.5%
Base: 810
131
Main Report
Table 48: Most used websites for checking local language content (Telugu) Language
All Internet Users
Eeandu
46%
Raaga
25%
Telugu
23%
Telugupeople
20%
Teluguone
19%
Vaartha
19%
Idlebrain
18%
Andhravilas
18%
Google
14%
Andhrajyothi
11%
Greatandhra
11%
Telugulo
8%
Orkut
6%
Yahoo
6%
Sakshi
6%
Wikipedia
4%
Rediff
3%
Hotmail
2%
Teluguwebsite
2%
Telugucinema
1%
Gmail
1%
Sify
0.9%
Thatstelugu
0.7%
Chitralekha
0.5%
Epatra
0.2%
Manoramaonline
0.2%
Galatta
0.1%
Webduniya
0.1%
Base: 665
132
India Online 2008
Table 49: Most used websites for checking local language content (Marathi) Language
All Internet Users
Esakal
39%
Lokmat
35%
Marathiworld
35%
Maharashtratimes
17%
Marathimati
16%
Webduniya
13%
Google
10%
Loksatta
10%
Epatra
6%
Yahoo
5%
Rediff
5%
Wikipedia
4%
Maayboli
2%
Hotmail
2%
Gmail
2%
Orkut
2%
Sify
0.5%
Others
0.3%
Base: 197
133
Main Report
Table 50: Most used websites for checking local language content (Malayalam) Language
All Internet Users
Manoramaonline
94%
Matrubhumi
31%
Deepika
25%
Yahoo
9%
Keralakaumudi
6%
Google
6%
Rediff
4%
Vaartha
4%
Orkut
4%
Asianetglobal
3%
Deshabhimani
3%
Sify
2%
Hotmail
2%
Gmail
2%
Mangalam
2%
Wikipedia
0.8%
Kumudam
0.4%
Raaga
0.4%
Epatra
0.2%
Base: 405
134
India Online 2008
Table 51: Most used websites for checking local language content (Bengali) Language
All Internet Users
Google
73%
Banglalive
13%
Anandabazaar
10%
Yahoo
6%
Rediff
3%
Aajtak
3%
Gmail
2%
Orkut
2%
Hotmail
2%
Calcuttaweb
1%
Sify
0.7%
Webduniya
0.6%
Wikipedia
0.4%
Base: 91
135
Main Report
Table 52: Most used websites for checking local language content (Gujarati) Language
All Internet Users
Sandesh
54%
Gujratsamachar
46%
Bhaskar
30%
Yahoo
15%
Rediff
11%
Google
8%
BSE India
7%
Chitralekha
7%
Dainikbhaskar
6%
Divyabhaskar
6%
Navbharattimes
5%
Sify
3%
Epatra
3%
Orkut
0.4%
Gmail
0.2%
Hotmail
0.2%
Webduniya
0.2%
Wikipedia
0.2%
Base: 126
136
India Online 2008
Table 53: Most used websites for checking local language content (Kannada) Language
All Internet Users
Yahoo
38%
Kannadaprabha
19%
Kannadaaudio
16%
Raaga
14%
Google
13%
Gmail
13%
Rediff
12%
Hotmail
9%
Thatskannada
8%
Orkut
6%
Sify
5%
Udayavani
5%
Chitralekha
3%
Webduniya
0.4%
Wikipedia
0.3%
Base: 122
137
Main Report
Table 54: Preferred blog sites Website
All Internet Users
Change from PY
Blogspot
27%
16%
Yahoo
12%
-6.1%
Orkut*
11%
Blogger
10%
-0.7%
Rediff
9%
-1.9%
Ibibo
6%
-4.0%
Google
6%
-15.5%
Blog*
4%
Debonairblog
2%
-0.5%
Indiatimes
0.8%
-1.1%
Indyarocks*
0.8%
Sulekha
0.6%
-0.1%
Fropper
0.5%
0.2%
Myspace*
0.5%
Ibnlive*
0.4%
Bigadda*
0.4%
Wordpress*
0.3%
Youtube*
0.3%
Others
7%
None*
2%
5%
Base: 2,862(CY), 1,853(PY)
138
India Online 2008
Table 55: Preferred astrology website Website
All Internet Users
Change from PY
Yahoo
25%
3%
Astrology
17%
-1.5%
Google
13%
2%
Rediff
9%
0.2%
Indiatimes astrospeak
6%
-2.3%
Astrolife
3%
1%
Sify
3%
0.0%
Horoscope
3%
0.4%
Astro*
2%
MSN
2%
-0.6%
Indianastrology
1%
0.5%
Ganeshaspeaks
1%
0.8%
Sarafreder
1%
-1.7%
Astrogyan
0.9%
0.1%
Astroyogi
0.8%
0.0%
Manoramaonline
0.8%
0.4%
Webduniya
0.7%
0.1%
Ivillage
0.6%
-0.2%
Timesofindia
0.5%
-0.1%
Dinamalar*
0.5%
Astroindia
0.4%
Aboutastro*
0.4%
Bejandaruwalla*
0.4%
Astrocenter
0.3%
-0.3%
Cyberastro
0.3%
0.0%
Tarot
0.3%
0.0%
Indya*
0.3%
AOL*
0.3%
Shanidham*
0.3%
Astroved*
0.3%
Others
7%
-0.1%
-2.4%
Base: 5,673(CY), 6,357(PY)
139
Main Report
Table 56: Preferred online learning / education website Website
All Internet Users
Change from PY
Google
32%
-1.9%
Yahoo
15%
5%
Wikipedia
7%
1%
Education
6%
3%
Rediff
4%
-0.3%
W3schools
3%
1%
Learning
3%
2%
Ebizel
3%
1%
IGNOU
2%
0.9%
Microsoft
2%
0.7%
Extramarks*
1%
Onlineeducation
1%
0.4%
CBSE
1%
0.0%
Indiatimes
1%
-0.2%
Bharatstudent*
1%
ICFAI
0.9%
SCDL*
0.8%
Annauniversity
0.8%
0.0%
Howstuffworks
0.8%
0.2%
Indiaedu*
0.6%
English
0.6%
Studymentor*
0.6%
Freshersworld
0.6%
Webindia123*
0.6%
Dewsoftoverseas*
0.6%
ICAI
0.5%
NIIT*
0.5%
24x7Guru*
0.5%
MBA*
0.5%
Ebook*
0.5%
Sify*
0.4%
SAP*
0.4%
Gurukul
0.3%
BBC*
0.3%
Answers*
0.3%
MSN*
0.2%
Sun*
0.1%
Others
7%
-0.1%
0.4%
0.1%
0.0%
-0.1%
-17.0%
Base: 5,236(CY), 6,571(PY)
140
India Online 2008
Table 57: Preferred website for sharing pictures online Website
All Internet Users
Orkut
38%
Yahoo
18%
Picasa
7%
Ibibo
6%
Santabanta
5%
Flickr
5%
Pictures
2%
Wallpapers
2%
Youtube
2%
Kodakgallery
1%
Photobucket
1%
123Greetings
1%
Facebook
0.9%
Webshots
0.9%
Snapfish
0.7%
Indyarocks
0.7%
Rapidshare
0.7%
Indiatimes
0.6%
Bollywood
0.6%
Hi5
0.5%
Hotmail
0.4%
Bigadda
0.4%
Perfspot
0.4%
Ziddu
0.4%
Screensavers
0.4%
Indiafm
0.4%
Indiaglitz
0.3%
Sify
0.3%
Idlebrain
0.3%
Zoom
0.2%
Shutterfly
0.2%
Fropper
0.2%
Shareapic
0.2%
Myspace
0.1%
Others
2%
Base: 7,028
141
Main Report
Table 58: Preferred website for professional networking Website
All Internet Users
Orkut
42%
Yahoo
19%
Rediff
6%
Linkedin
6%
Microsoft
2%
Hotmail
2%
Cisco
2%
Naukri
1%
Icai
0.9%
Monster
0.9%
Sify
0.7%
Indiatimes
0.7%
Freshersworld
0.7%
Facebook
0.6%
Ibibo
0.6%
CIOZone
0.6%
Brijj
0.5%
Ebizel
0.5%
Wikipedia
0.5%
Timesjob
0.3%
Techtribe
0.2%
Siliconindia
0.2%
Others
7%
None
6%
Base: 5,335
142
India Online 2008
Table 59: Preferred website to buy/rent CD/DVD Website
All Internet Users
Rediff
12%
Ebay
9%
Movies
7%
Indiatimes
3%
Raaga
3%
DVD
2%
Seventymm
2%
Youtube
2%
Moserbear
1%
Amazon
1%
Futurebazaar
1%
Mp3
1%
Bollywood
1%
Sify
1%
Moviemart
1%
English-Bookworld
1%
Indiaplaza
0.7%
Teluguone
0.7%
Songs.Pk
0.6%
Download
0.6%
Rentmovie
0.5%
Jaman
0.4%
Others
10%
None
38%
Base: 3,279
143
Main Report
Table 60: Preferred website for sharing video online Website
All Internet Users
Youtube
43%
Yahoo
13%
Google Video
13%
Orkut
11%
Video
4%
Rediff
4%
Rapidshare
1%
Indiatimes
1%
Indyarocks
0.9%
Metacafe
0.9%
Ibibo
0.8%
Metatube
0.6%
Hotmail
0.5%
Bigadda
0.5%
Sify
0.4%
Torrent
0.4%
Limewire
0.2%
Others None
5% 0.3%
Base: 5,528
144
India Online 2008
Table 61: Preferred website for net telephony Website
All Internet Users
Yahoo
25%
Gtalk
24%
Skype
12%
BSNL
9%
Rediff
6%
Tata Indicom
3%
Telephony
3%
Net2Phone
3%
Airtel
2%
Sify
2%
Globe7
2%
Jaxtr
1%
Nettelephony
1%
VSNL
1%
Reliance
1%
Way2Sms
0.8%
MTNL
0.8%
Indiatimes
0.7%
Ibibo
0.7%
Vodafone
0.7%
160by2
0.6%
Indyarocks
0.5%
Justvoip
0.4%
Dataone
0.3%
Net4India
0.2%
Others
0.7%
Base: 4,244
145
Main Report
Most Used Offline Media Brands Table 62: Favorite TV channels TV Channel
All Internet Users
Change from PY
Star Plus
8%
-5.2%
Discovery
7%
-0.3%
Sun TV
5%
0.0%
NDTV
5%
-0.2%
DD 1
4%
2%
Aajtak
4%
-1.0%
Zee TV
3%
0.1%
Sony
3%
-0.7%
Ten Sports
3%
0.2%
M TV
3%
-0.2%
CNBC
3%
0.1%
National Geographic
3%
0.5%
HBO
2%
-1.7%
Asianet
2%
0.6%
Star Movies
2%
-1.3%
ESPN
2%
-0.6%
Star One
2%
-0.8%
Bindass*
2%
TV 9
2%
0.1%
Star Sports
2%
0.7%
Any Sports Channel
2%
1%
Star News
2%
0.5%
E TV
1%
0.1%
Sanskar*
1%
Any News Channel*
1%
Vijaya TV
1%
0.6%
AXN
1%
0.2%
Gemini
1%
0.3%
Cartoon Network
1%
0.1%
CNN IBN
1%
-0.5%
9X*
1%
Sun Music
1%
0.2%
NDTV Imagine*
0.9%
Star Cricket*
0.9%
Zee Cinema
0.9%
0.4%
Maa TV
0.8%
0.5%
Set Max
0.8%
0.3%
146
India Online 2008
TV Channel
All Internet Users
Change from PY
Any Music Channel
0.8%
0.4%
Zee News
0.7%
0.3%
Animal Planet
0.6%
-0.1%
BBC
0.6%
-0.2%
Disney Channel
0.6%
0.0%
Pogo
0.6%
-0.3%
Travel & Living
0.5%
-0.4%
India TV
0.5%
0.1%
NDTV Profit
0.5%
0.0%
Star Gold
0.5%
0.3%
Star Vijay*
0.5%
Star World
0.5%
Vh1
0.5%
0.1%
Zoom
0.5%
-0.4%
SS Music
0.5%
0.1%
Aawaz
0.4%
0.2%
NDTV24*7
0.4%
0.1%
Sab TV
0.4%
-0.6%
Times Now
0.4%
0.1%
CNN*
0.3%
DD News
0.3%
0.0%
ETV Kannada
0.3%
-0.1%
Headlines Today
0.3%
0.1%
Udaya TV
0.3%
0.0%
Zee Marathi
0.3%
0.0%
F TV
0.2%
-0.3%
History Channel
0.2%
-0.3%
Hungama TV
0.2%
0.1%
Jaya TV
0.2%
0.1%
Kalaignar TV*
0.2%
K TV*
0.2%
Sahara One
0.2%
Star Anand
0.2%
0.1%
Surya TV
0.2%
-0.4%
Teja TV
0.2%
0.1%
Udaya Movies*
0.2%
Zee Bangla*
0.2%
Zee Business
0.2%
0.1%
Any Movie Channel
0.2%
0.1%
V Channel
0.2%
-0.1%
Astha*
0.1%
Amrita*
0.1%
Animax
0.1%
DD Punjabi*
0.1%
ETV2*
0.1%
-1.1%
-0.2%
-0.1%
147
Main Report
TV Channel
All Internet Users
Change from PY
Filmy*
0.1%
Gemini Music*
0.1%
India Vision
0.1%
0.0%
Kairali TV
0.1%
-0.2%
Kiran TV
0.1%
0.0%
MH1
0.1%
-0.1%
NDTV Good Times*
0.1%
Set Pix*
0.1%
Star Utsav
0.1%
Sun News*
0.1%
UTV Movies*
0.1%
Jetix
0.1%
Akasha Bangla*
0.0%
Asianet News*
0.0%
Chutti TV*
0.0%
DD Bangla*
0.0%
DD Bharti*
0.0%
DD Chandana*
0.0%
DD Kashir*
0.0%
DD Malayalam*
0.0%
DD Sports*
0.0%
DD Urdu*
0.0%
DD8 (Telugu)*
0.0%
ETV Bangla
0.0%
-0.1%
ETV Marathi
0.0%
-0.1%
Gyan Darshan*
0.0%
Mi Marathi*
0.0%
News 24*
0.0%
Nick*
0.0%
Star Majha*
0.0%
TV-9 Kannada*
0.0%
Udaya II*
0.0%
World Movies*
0.0%
Zee Café*
0.0%
Zee Studio*
0.0%
Others*
0.0%
0.0%
-0.1%
-0.1%
Base: 12,848(CY), 12,631(PY)
148
India Online 2008
Table 63: Favorite newspapers Newspaper
All Internet Users
Change from PY
The Times of India
29%
-5.8%
The Hindu
13%
-5.0%
The Hindustan Times
5%
-0.9%
Eenadu
4%
2%
The Telegraph
3%
0.9%
Dainik Bhaskar
3%
1%
Deccan Chronicle
3%
-1.3%
Anand Bazar Patrika
2%
1%
Malyalam Manorama
2%
0.3%
Dinamalar
2%
1%
Dainik Jagran
2%
0.0%
Gujrat Samachar
2%
0.7%
The Economic Times
2%
-0.3%
Lokmat
2%
1%
Mid Day
2%
0.5%
Indian Express
2%
-1.2%
Daily Thanthi
1%
0.8%
Amar Ujala
1%
0.7%
News India-Times*
1%
The Tribune
1%
-0.6%
Maharashtra Times
1%
0.9%
Mumbai Mirror
1%
0.1%
Deccan Herald
0.9%
-0.5%
DNA
0.9%
-0.5%
Dinakaran
0.8%
0.4%
Mathrubhumi
0.8%
0.2%
Rajasthan Patrika
0.7%
0.2%
Sakal
0.7%
0.1%
Dharitri
0.6%
0.5%
India Today*
0.6%
Punjab Kesari
0.6%
0.3%
Sandesh
0.6%
0.2%
Business Standard
0.5%
0.4%
Divya Bhaskar
0.5%
0.0%
Samaj
0.4%
0.3%
Sakshi*
0.4%
Nav Bharat Times
0.4%
0.1%
Vijay Karnataka
0.4%
-0.7%
Hitvada
0.4%
0.2%
Asian Age*
0.3%
Greater Kashmir*
0.3%
Nav Hindi Times
0.3%
-0.1%
Prajavani
0.3%
0.0%
Vartha
0.3%
0.2%
149
Main Report
Newspaper
All Internet Users
Change from PY
Bangalore Times
0.3%
0.2%
Andhra Jyoti
0.2%
0.1%
Assam Tribune*
0.2%
Business Line
0.2%
-0.1%
Sambad
0.2%
0.1%
Ajit Daily*
0.1%
Andhrabhoomi*
0.1%
Bartaman Patrika*
0.1%
Daily Excelsior*
0.1%
Deepika Malayalam*
0.1%
Deshabhimani Daily*
0.1%
Express India*
0.1%
Kannada praba
0.1%
0.0%
Kerala Kaumudi
0.1%
-0.1%
Madhyamum*
0.1%
Nai Dunia
0.1%
-0.1%
The Statesman
0.1%
-0.1%
Udayavani
0.1%
0.0%
Mint*
0.1%
Prabhat Khabar
0.1%
Aaj Kal*
0.0%
Akila Daily*
0.0%
Asomiya Pratidin*
0.0%
Mumbai Samachar
0.0%
Daily Pratidin*
0.0%
Daily Pudhari*
0.0%
Dainik Agradoot*
0.0%
Dainik Janasadharan*
0.0%
Financial Express*
0.0%
Ganashakti*
0.0%
Gomantak Times*
0.0%
Hindu Business Line*
0.0%
India Abroad*
0.0%
India Express*
0.0%
Kala Kaumudi*
0.0%
Mangalam*
0.0%
Munsif Daily*
0.0%
The Pioneer*
0.0%
Rashtriya Sahara*
0.0%
The Shillong Times*
0.0%
Siasat*
0.0%
Star of Mysore*
0.0%
Tarun Bharat Daily*
0.0%
Uadyavani*
0.0%
Others
0.3%
0.0%
-0.1%
0.3%
Base: 13,861(CY), 12,762(PY)
150
India Online 2008
Table 64: Favorite magazines Magazine
All Internet Users
Change from PY
25%
1%
Reader's Digest
5%
-2.0%
Sports Star
4%
-0.1%
Digit
4%
0.4%
Femina
4%
-0.1%
Swathi
4%
2%
Outlook
4%
-0.2%
The Week
4%
-1.6%
Film Fare
3%
-0.4%
Business Today
3%
0.7%
Business World
2%
-0.1%
Kumudham
2%
1%
Star Dust
2%
-0.3%
Time
2%
0.9%
Women's Era
1%
-0.9%
Ananda Vikatan
1%
0.1%
Competition Success Review
1%
0.4%
Autocar India
1%
-0.4%
Chitralekha
1%
0.6%
Electronics For You
1%
0.2%
Chip
1%
-0.5%
Frontline*
1%
Economical Times*
1%
Grihshobha
1%
0.1%
Health
1%
0.5%
Safari
1%
0.7%
Today
1%
0.5%
Vanita
1%
-0.1%
Computers Today
0.9%
0.2%
PC world
0.9%
0.6%
Outlook Money
0.8%
0.4%
Aha Zindagi
0.7%
0.5%
India Times
0.7%
-0.1%
Bikes
0.6%
0.5%
Cosmopolitan
0.6%
-0.2%
Pc Quest
0.6%
0.0%
Abhiyan
0.5%
0.3%
Dalal Street
0.5%
0.2%
Sananda
0.5%
0.2%
Aval Vikatan
0.4%
0.2%
Chronicle
0.4%
0.2%
Good House Keeping
0.4%
0.1%
Graphiti
0.4%
0.2%
Manorama
0.4%
0.2%
India Today
151
Main Report
Magazine
All Internet Users
Change from PY
Overdrive
0.4%
-0.2%
Science Reporter
0.4%
-0.2%
The Times of India*
0.4%
Business India
0.3%
-0.4%
Cricket Samrat
0.3%
-0.3%
Junior Vikatan
0.3%
0.1%
Meri Saheli
0.3%
-0.2%
National Geographic
0.3%
-0.3%
Saptahik Bartaman
0.3%
0.2%
Saras Salil
0.3%
0.2%
Sudha
0.3%
0.0%
Anandalok*
0.2%
Anandamela
0.2%
0.0%
Automobiles
0.2%
0.1%
Brunch
0.2%
-0.1%
Business Week
0.2%
-0.1%
Champak
0.2%
0.1%
Debonair
0.2%
0.0%
Desh
0.2%
0.0%
Inside Outside
0.2%
-0.1%
Lokprabha
0.2%
0.1%
Mathrubhumi*
0.2%
Maxim
0.2%
0.0%
Playboy
0.2%
-0.1%
Saheli*
0.2%
Sakhi*
0.2%
Sarita
0.2%
0.0%
Taranga
0.2%
0.0%
Top Gear
0.2%
0.1%
Wisdom
0.2%
-0.5%
Jesus Calls*
0.2%
Scientific American*
0.2%
Unish Kuri*
0.2%
Andra Jyoti
0.1%
0.0%
Better Photography
0.1%
0.0%
Business Standard
0.1%
0.0%
Business Times*
0.1%
Capital Market
0.1%
-0.1%
Cineblitz
0.1%
-0.1%
Data Quest
0.1%
-0.1%
Deccan Chronicle
0.1%
0.0%
Developer Iq*
0.1%
Fortune India
0.1%
-0.6%
Gladrags
0.1%
-0.2%
Grihlakshmi*
0.1%
152
India Online 2008
Magazine
All Internet Users
Change from PY
Kadambini*
0.1%
Linux For You
0.1%
Outlook Traveller*
0.1%
Pratiyogita Darpan*
0.1%
Saptahik Sakal
0.1%
Savvy
0.1%
0.0%
The Economist
0.1%
-0.1%
Bal Bhaskar*
0.1%
Eenadu*
0.1%
Animation reporter
0.0%
Auto World*
0.0%
Business & Economy
0.0%
-0.5%
Buzz
0.0%
-0.1%
Career economic*
0.0%
Chandamama
0.0%
-0.1%
Elle
0.0%
-0.1%
Kurukshetra*
0.0%
Living digital
0.0%
Malyalam Manorama*
0.0%
Mans world*
0.0%
Money life
0.0%
-0.1%
Nirogadhaam
0.0%
-0.1%
Society
0.0%
-0.1%
Others
0.2%
-6.8%
-0.1%
0.0%
-0.1%
-0.1%
Base: 9,119(CY), 10,515(PY)
153
Main Report
Table 65: Favorite radio channels Radio Channel
All Internet Users
Change from PY
Radio Mirchi
32%
-6.4%
All FM*
15%
Big FM
12%
7%
Red FM
9%
-3.1%
Radio City
7%
-3.6%
Suryan FM
4%
-1.9%
Fever FM
4%
1%
Radio One*
4%
Vividh Bharati*
3%
AIR
2%
-9.1%
Air FM Rainbow
1%
-2.2%
1%
0.3%
Power FM Akash Vani*
0.7%
93.7 FM*
0.7%
Radio Mango*
0.6%
Air FM Gold
0.5%
-4.5%
BBC
0.5%
-0.6%
World Space
0.3%
-1.3%
Radio FM*
0.3%
Radio Indigo*
0.3%
Amar FM
0.2%
93.8 FM*
0.2%
102.6 FM*
0.2%
Go FM
0.0%
-0.8%
Others
2%
0.6%
-0.1%
Base: 10,195(CY), 8,205(PY)
154
India Online 2008
Offline Brands Recalled Table 66: TOM recall for brands TOM Brand
All Internet Users
Change from PY
Nokia
11%
5%
Sony
8%
0.1%
Tata
6%
1%
LG
4%
0.2%
Nike
4%
0.9%
Reliance
3%
0.1%
Samsung
3%
0.6%
Airtel
3%
2%
Colgate
3%
-0.6%
Reebok
3%
1%
HLL
2%
-0.6%
Coca Cola
2%
1%
Adidas
2%
0.5%
Pepsi
2%
0.0%
Microsoft
2%
0.0%
HP
1%
0.1%
Hero Honda
1%
0.1%
Philips
1%
0.0%
Levis
1%
0.3%
Honda
1%
0.4%
IBM
1%
0.2%
Godrej
1%
-0.5%
Bajaj
1%
-0.1%
Maruti
1%
-0.6%
Intel
0.9%
0.0%
Cadbury
0.9%
0.3%
Amul
0.9%
0.2%
HCL
0.9%
0.4%
Lux
0.8%
0.6%
Google
0.8%
-0.6%
Apple
0.7%
0.3%
Onida
0.7%
0.0%
Lee
0.7%
0.2%
Compaq
0.7%
0.2%
BSNL
0.7%
0.3%
Raymonds
0.6%
-0.4%
Titan
0.6%
0.2%
155
Main Report
TOM Brand
All Internet Users
Change from PY
Britannia
0.6%
0.0%
Wipro
0.6%
0.0%
Lakme
0.6%
-0.1%
Sony Ericsson
0.5%
0.0%
Hutch
0.5%
0.3%
Motorola
0.5%
0.1%
Dabur
0.5%
0.1%
TVS
0.5%
0.3%
Dell
0.4%
0.1%
Johnson & Johnson
0.4%
0.1%
Bata
0.4%
0.0%
ITC
0.4%
0.1%
Videocon
0.4%
-0.3%
Amway
0.4%
0.1%
Nestle
0.4%
0.0%
Lenovo
0.4%
0.1%
BPL
0.4%
-0.2%
Panasonic
0.4%
0.3%
Ponds
0.3%
0.0%
Parle
0.3%
-0.1%
Peter England
0.3%
-0.1%
Kingfisher
0.3%
0.0%
BMW
0.3%
0.1%
ICICI
0.3%
-0.1%
Pepe
0.3%
0.1%
Spykar
0.3%
0.1%
Whirlpool
0.3%
-0.1%
Koutons
0.3%
0.2%
Times of India
0.3%
0.2%
Woodland
0.2%
0.0%
Garnier
0.2%
-0.1%
Allen Solly
0.2%
0.1%
Provogue
0.2%
0.0%
L`Oreal
0.2%
0.0%
Mercedes
0.2%
-0.3%
Hamam
0.2%
0.1%
Pantaloon
0.2%
-0.1%
Pepsodent
0.2%
0.0%
Yamaha
0.2%
-0.1%
Toyota
0.2%
-0.1%
Hyundai
0.2%
-0.1%
ISI
0.2%
0.0%
Acer
0.2%
0.1%
Revlon
0.2%
0.1%
Horlicks
0.2%
0.0%
156
India Online 2008
TOM Brand
All Internet Users
Change from PY
Idea
0.2%
0.1%
Maggi
0.2%
0.1%
Yahoo
0.2%
0.1%
Thums Up
0.2%
0.0%
Lifebuoy
0.2%
0.0%
Surf
0.1%
-0.3%
Dove*
0.1%
Wills
0.1%
-0.1%
MRF
0.1%
0.0%
Ford
0.1%
0.0%
Brooke Bond
0.1%
-0.1%
Close Up
0.1%
-0.1%
LIC
0.1%
0.0%
Gold Flake
0.1%
0.0%
Ferrari
0.1%
0.0%
Boost*
0.1%
Park Avenue
0.1%
Voltas*
0.1%
Others
5%
0.0%
-9.0%
Base: 13,510(CY), 24,288(PY)
157
Segment Wise Detailed Tables
158
Table 1: Gender breakup Gender
Male
Female
All Internet Users
100%
0.0%
82%
Gender Male Female
0.0%
100%
18%
100.0%
100.0%
100.0%
13-18 years
9%
6%
9%
19-24 years
43%
46%
44%
25-35 years
33%
35%
34%
36-45 years
9%
9%
9%
Age Group
Above 45 years
6%
5%
5%
100.0%
100.1%
100.0%
SEC A
23%
27%
24%
SEC B
26%
29%
27%
SEC C
20%
15%
19%
SEC D
10%
9%
10%
SEC E
6%
8%
7%
Rural 1
4%
2%
3%
Rural 2
3%
2%
3%
Rural 3
4%
4%
4%
Rural 4&5
5%
4%
4%
100.0%
100.0%
100.1%
North
21%
19%
21%
East
14%
18%
15%
South
32%
38%
33%
West
33%
26%
31%
100.0%
100.1%
100.0%
Home
55%
55%
55%
Place of work (office / school / college)
60%
59%
60%
Cyber cafe
48%
41%
47%
6%
3%
6%
Socio Economic Classification
Region
Place of Access
In transit (while traveling)
159
Table 2: Age group distribution 13-18 yrs
19-24 yrs
25-35 yrs
36-45 yrs
46-55 yrs
Above 55 yrs
All Internet Users
Male
89%
81%
82%
83%
82%
88%
82%
Female
12%
19%
18%
18%
18%
12%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
100%
0.0%
0.0%
0.0%
0.0%
0.0%
9%
19-24 years
0.0%
100%
0.0%
0.0%
0.0%
0.0%
44%
25-35 years
0.0%
0.0%
100%
0.0%
0.0%
0.0%
34%
36-45 years
0.0%
0.0%
0.0%
100%
0.0%
0.0%
9%
Age Group Gender
Age Group
Above 45 years
0.0%
0.0%
0.0%
0.0%
100%
100%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
14%
17%
28%
34%
39%
55%
24%
SEC B
18%
25%
29%
34%
36%
27%
27%
SEC C
24%
22%
16%
15%
15%
9%
19%
SEC D
13%
11%
9%
6%
2%
4%
10%
SEC E
8%
9%
5%
3%
0.0%
0.0%
7%
Rural 1
7%
3%
4%
3%
2%
0.4%
3%
Rural 2
3%
3%
2%
2%
2%
2%
3%
Rural 3
6%
5%
4%
2%
2%
0.8%
4%
Rural 4&5
9%
5%
4%
0.9%
1%
2%
4%
100%
100%
100%
100%
100%
100%
100%
North
25%
19%
23%
19%
17%
16%
21%
East
10%
14%
15%
20%
22%
18%
15%
South
31%
35%
31%
34%
34%
42%
33%
Socio Economic Classification
Region
West
35%
32%
31%
27%
27%
24%
31%
100%
100%
100%
100%
100%
100%
100%
Home
54%
52%
53%
63%
71%
86%
55%
Place of work (office / school / college)
34%
56%
71%
65%
61%
37%
60%
Cyber cafe
44%
52%
48%
33%
23%
21%
47%
2%
4%
7%
9%
8%
9%
6%
Place of Access
In transit (while traveling)
160
Table 3: City class - by population size City Class
Up to 1 Lakh
1-5 Lakhs
5-10 Lakhs
Above 10 Lakhs
All Internet Users
Male
87%
88%
84%
76%
82%
Female
13%
12%
16%
25%
18%
100%
100%
100%
100%
100%
13-18 years
11%
11%
8%
6%
9%
19-24 years
47%
46%
45%
39%
44%
25-35 years
33%
31%
31%
38%
34%
36-45 years
6%
8%
10%
10%
9%
Gender
Age Group
Above 45 years
3%
4%
6%
7%
5%
100%
100%
100%
100%
100%
SEC A
10%
17%
30%
28%
24%
SEC B
14%
26%
30%
32%
27%
SEC C
12%
15%
24%
21%
19%
SEC D
8%
9%
11%
10%
10%
Socio Economic Classification
SEC E
5%
17%
5%
6%
7%
Rural 1
14%
2%
0.1%
0.3%
3%
Rural 2
9%
3%
0.3%
0.6%
3%
Rural 3
15%
5%
0.6%
0.5%
4%
Rural 4&5
14%
8%
0.4%
1%
4%
100%
100%
100%
100%
100%
North
19%
25%
28%
12%
21%
East
11%
11%
16%
19%
15%
South
33%
28%
38%
30%
33%
Region
West
37%
36%
19%
40%
31%
100%
100%
100%
100%
100%
Home
42%
52%
60%
59%
55%
Place of work (office / school / college)
56%
56%
59%
65%
60%
Cyber cafe
55%
46%
42%
47%
47%
4%
4%
5%
8%
6%
Place of Access
In transit (while traveling)
161
Table 4: City class - by market size City Class
Metro
Urban uptowns
Emerging Towns
Others
All Internet Users
Male
75%
83%
83%
86%
82%
Female
25%
17%
17%
14%
18%
100%
100%
100%
100%
100%
13-18 years
6%
10%
8%
10%
9%
19-24 years
39%
39%
45%
47%
44%
25-35 years
38%
33%
31%
32%
34%
36-45 years
10%
10%
10%
8%
9%
Gender
Age Group
Above 45 years
8%
8%
6%
4%
5%
100%
100%
100%
100%
100%
SEC A
28%
26%
33%
19%
24%
SEC B
32%
27%
29%
23%
27%
SEC C
20%
26%
20%
18%
19%
SEC D
10%
10%
12%
9%
10%
SEC E
6%
2%
3%
8%
7%
Rural 1
1%
6%
2%
5%
3%
Rural 2
0.6%
1%
0.3%
4%
3%
Rural 3
0.7%
0.9%
0.3%
7%
4%
1%
1%
0.4%
8%
4%
100%
100%
100%
100%
100%
8%
23%
42%
23%
21%
East
19%
0.0%
7%
16%
15%
South
40%
33%
26%
30%
33%
Socio Economic Classification
Rural 4&5 Region North
West
33%
44%
26%
31%
31%
100%
100%
100%
100%
100%
Home
59%
54%
63%
51%
55%
Place of work (office / school / college)
66%
60%
58%
57%
60%
Cyber cafe
46%
52%
38%
48%
47%
8%
4%
8%
4%
6%
Place of Access
In transit (while traveling)
162
Table 5: Top 10 cities City
Mumbai
Bangalore
Delhi
Chennai
Hyderabad
Panipat
All Internet Users
Male
73%
75%
76%
75%
76%
100%
80%
Female
27%
25%
24%
26%
24%
0.0%
20%
100%
100%
100%
100%
100%
100%
100%
13-18 years
5%
3%
4%
3%
5%
13%
7%
19-24 years
27%
31%
32%
34%
36%
63%
37%
25-35 years
45%
46%
44%
40%
41%
13%
38%
36-45 years
13%
13%
12%
11%
11%
13%
11%
Gender
Age Group
Above 45 years
10%
8%
9%
11%
7%
0.0%
8%
100%
100%
100%
100%
100%
100%
100%
SEC A
59%
59%
64%
60%
56%
63%
52%
SEC B
26%
28%
26%
28%
30%
25%
25%
SEC C
7%
6%
4%
6%
6%
13%
6%
SEC D
4%
4%
4%
4%
4%
0.0%
4%
SEC E
1%
1%
0.9%
2%
2%
0.0%
1%
Rural 1
1%
0.4%
0.2%
0.0%
0.1%
0.0%
4%
Rural 2
1%
0.6%
0.6%
0.3%
0.6%
0.0%
5%
Rural 3
0.4%
0.2%
0.3%
0.0%
0.0%
0.0%
2%
Rural 4&5
0.4%
0.4%
0.6%
0.2%
0.6%
0.0%
2%
100%
100%
100%
100%
100%
100%
100%
North
0.0%
0.0%
100%
0.0%
0.0%
100%
22%
East
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
9%
South
0.0%
100%
0.0%
100%
100%
0.0%
43%
Socio Economic Classification
Region
West
100%
0.0%
0.0%
0.0%
0.0%
0.0%
26%
100%
100%
100%
100%
100%
100%
100%
Home
70%
66%
68%
70%
67%
88%
61%
Place of work (office / school / college)
68%
73%
72%
71%
61%
50%
63%
Cyber cafe
41%
50%
36%
44%
42%
25%
46%
In transit (while traveling)
12%
11%
11%
9%
5%
25%
8%
Place of Access
163
Table 6: Top 10 cities City
Kolkata
Pune
Secunderabad
Ahmedabad
All Internet Users
Male
82%
79%
80%
85%
80%
Female
18%
21%
20%
16%
20%
100%
100%
100%
100%
100%
13-18 years
5%
6%
4%
6%
7%
19-24 years
34%
33%
39%
31%
37%
25-35 years
34%
45%
41%
43%
38%
36-45 years
13%
10%
10%
13%
11%
Gender
Age Group
Above 45 years
15%
6%
6%
8%
8%
100%
100%
100%
100%
100%
SEC A
65%
62%
54%
67%
52%
SEC B
24%
22%
32%
23%
25%
SEC C
4%
4%
6%
5%
6%
SEC D
6%
3%
4%
3%
4%
SEC E
0.3%
1%
2%
0.5%
1%
Rural 1
0.5%
7%
2%
0.5%
4%
Rural 2
1%
1%
0.0%
0.5%
5%
Rural 3
0.0%
0.0%
0.0%
0.5%
2%
Rural 4&5
0.0%
0.0%
0.4%
0.5%
2%
100%
100%
100%
100%
100%
North
0.0%
0.0%
0.0%
0.0%
22%
East
100%
0.0%
0.0%
0.0%
9%
South
0.0%
0.0%
100%
0.0%
43%
Socio Economic Classification
Region
West
0.0%
100%
0.0%
100%
26%
100%
100%
100%
100%
100%
Home
71%
63%
64%
62%
61%
Place of work (office / school / college)
62%
65%
65%
70%
63%
Cyber cafe
37%
55%
44%
37%
46%
In transit (while traveling)
13%
9%
7%
9%
8%
Place of Access
164
Table 7: Region-wise break-ups Region
North
East
South
West
All Internet Users
Male
84%
79%
80%
86%
82%
Female
16%
21%
20%
14%
18%
100%
100%
100%
100%
100%
13-18 years
10%
6%
8%
10%
9%
19-24 years
41%
41%
46%
45%
44%
25-35 years
37%
34%
31%
34%
34%
36-45 years
8%
12%
9%
8%
9%
Gender
Age Group
Above 45 years
4%
8%
6%
5%
5%
100%
100%
100%
100%
100%
SEC A
32%
26%
20%
21%
24%
SEC B
32%
31%
26%
23%
27%
SEC C
14%
19%
21%
21%
19%
SEC D
6%
6%
10%
14%
10%
SEC E
3%
11%
2%
12%
7%
Rural 1
5%
3%
3%
3%
3%
Rural 2
3%
2%
4%
1%
3%
Rural 3
3%
2%
8%
2%
4%
Rural 4&5
3%
2%
8%
3%
4%
100%
100%
100%
100%
100%
North
100%
0.0%
0.0%
0.0%
21%
East
0.0%
100%
0.0%
0.0%
15%
South
0.0%
0.0%
100%
0.0%
33%
Socio Economic Classification
Region
West
0.0%
0.0%
0.0%
100%
31%
100%
100%
100%
100%
100%
Home
58%
58%
53%
53%
55%
Place of work (office / school / college)
63%
56%
60%
59%
60%
Cyber cafe
42%
51%
46%
49%
47%
7%
6%
5%
5%
6%
Place of Access
In transit (while traveling)
165
Table 8: Preferred language of reading English
Hindi
Bengali
Bhojpuri
Bodo
Bundeli
Chhattisgarhi
All Internet Users
Male
78%
85%
83%
90%
100%
45%
100%
82%
Female
22%
15%
17%
10%
0.0%
55%
0.0%
18%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
7%
10%
2%
13%
0.0%
0.0%
27%
9%
19-24 years
40%
44%
38%
22%
70%
45%
54%
44%
25-35 years
36%
35%
33%
60%
0.0%
0.0%
20%
34%
36-45 years
10%
7%
16%
5%
0.0%
0.0%
0.0%
9%
Language Gender
Age Group
Above 45 years
7%
4%
12%
0.0%
30%
55%
0.0%
5%
100%
100%
100%
100%
100%
100%
100%
100%
SEC A
32%
27%
24%
7%
100%
0.0%
46%
24%
SEC B
28%
29%
34%
16%
0.0%
100%
0.0%
27%
SEC C
17%
16%
30%
16%
0.0%
0.0%
27%
19%
SEC D
8%
9%
7%
1%
0.0%
0.0%
0.0%
10%
SEC E
7%
7%
0.5%
52%
0.0%
0.0%
0.0%
7%
Rural 1
2%
4%
1%
0.0%
0.0%
0.0%
9%
3%
Rural 2
2%
3%
1%
0.8%
0.0%
0.0%
0.0%
3%
Rural 3
3%
3%
1%
0.0%
0.0%
0.0%
19%
4%
Rural 4&5
3%
3%
2%
6%
0.0%
0.0%
0.0%
4%
100%
100%
100%
100%
100%
100%
100%
100%
North
19%
43%
2%
28%
70%
0.0%
0.0%
21%
East
16%
14%
82%
16%
0.0%
55%
83%
15%
South
34%
9%
3%
4%
30%
0.0%
11%
33%
Socio Economic Classification
Region
West
31%
35%
13%
52%
0.0%
45%
6%
31%
100%
100%
100%
100%
100%
100%
100%
100%
Home
59%
58%
66%
14%
30%
100%
55%
55%
Place of work (office / school / college) Cyber cafe
64%
58%
50%
69%
100%
72%
22%
60%
43%
52%
38%
17%
0.0%
72%
53%
47%
7%
7%
6%
9%
0.0%
0.0%
0.0%
6%
Place of Access
In transit (while traveling)
166
Table 9: Preferred language of reading Dogri
Assamese
Gujarati
Haryanvi
Awadhi
Kannada
Kanauji
All Internet Users
Male
81%
85%
93%
87%
65%
74%
46%
82%
Female
20%
15%
7%
13%
35%
26%
54%
18%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
0.0%
8%
6%
23%
15%
10%
0.0%
9%
19-24 years
11%
28%
51%
39%
50%
36%
13%
44%
25-35 years
89%
47%
27%
29%
14%
37%
22%
34%
36-45 years
0.0%
13%
11%
8%
18%
11%
65%
9%
Language Gender
Age Group
Above 45 years
0.0%
4%
4%
1%
4%
6%
0.0%
5%
100%
100%
100%
100%
100%
100%
100%
100%
SEC A
20%
23%
19%
11%
40%
16%
13%
24%
SEC B
0.0%
8%
24%
16%
13%
28%
73%
27%
SEC C
0.0%
12%
19%
29%
0.0%
19%
13%
19%
SEC D
24%
4%
17%
11%
2%
11%
0.0%
10%
SEC E
0.0%
14%
11%
0.0%
0.0%
0.8%
0.0%
7%
Rural 1
0.0%
17%
4%
14%
0.0%
2%
0.0%
3%
Rural 2
0.0%
5%
1%
8%
0.0%
3%
0.0%
3%
Socio Economic Classification
Rural 3
56%
4%
2%
0.0%
0.0%
10%
0.0%
4%
0.0%
13%
3%
10%
45%
11%
0.0%
4%
100%
100%
100%
100%
100%
100%
100%
100%
91%
19%
3%
76%
27%
0.9%
0.0%
21%
East
0.0%
60%
1%
0.0%
9%
0.0%
0.0%
15%
South
0.0%
18%
3%
22%
51%
85%
92%
33%
Rural 4&5 Region North
West
9%
3%
94%
2%
13%
14%
8%
31%
100%
100%
100%
100%
100%
100%
100%
100%
Home
24%
31%
57%
54%
84%
41%
79%
55%
Place of work (office / school / college)
89%
58%
57%
59%
40%
67%
94%
60%
Cyber cafe
35%
58%
44%
51%
53%
48%
6%
47%
In transit (while traveling)
24%
6%
4%
0.0%
3%
6%
0.0%
6%
Place of Access
167
Table 10: Preferred language of reading Kashmiri
Konkani
Kurchi
Maithili
Malayalam
Manipuri
Marwari
All Internet Users
Male
74%
64%
100%
97%
81%
100%
96%
82%
Female
26%
36%
0.0%
3%
19%
0.0%
4%
18%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
1%
20%
0.0%
2%
11%
0.0%
13%
9%
19-24 years
27%
24%
0.0%
72%
40%
72%
61%
44%
25-35 years
70%
33%
100%
26%
28%
22%
18%
34%
36-45 years
1%
7%
0.0%
0.5%
12%
2%
6%
9%
Language Gender
Age Group
Above 45 years
1%
15%
0.0%
0.0%
10%
4%
1%
5%
100%
100%
100%
100%
100%
100%
100%
100%
SEC A
12%
9%
10%
2%
13%
16%
15%
24%
SEC B
46%
25%
51%
3%
22%
33%
24%
27%
SEC C
20%
20%
0.0%
0.0%
15%
42%
11%
19%
SEC D
16%
34%
0.0%
8%
7%
0.0%
4%
10%
SEC E
Socio Economic Classification
0.0%
0.0%
39%
82%
0.6%
0.0%
42%
7%
Rural 1
2%
2%
0.0%
0.0%
5%
6%
0.0%
3%
Rural 2
5%
4%
0.0%
1%
5%
4%
0.6%
3%
Rural 3
0.0%
3%
0.0%
3%
17%
0.0%
0.0%
4%
Rural 4&5
0.0%
3%
0.0%
0.0%
15%
0.0%
4%
4%
100%
100%
100%
100%
100%
100%
100%
100%
82%
8%
0.0%
28%
5%
3%
16%
21%
0.0%
0.0%
0.0%
0.0%
3%
63%
12%
15%
2%
19%
60%
7%
82%
35%
7%
33%
Region North East South West
17%
73%
40%
65%
11%
0.0%
64%
31%
100%
100%
100%
100%
100%
100%
100%
100%
Home
40%
60%
31%
92%
56%
33%
71%
55%
Place of work (office / school / college)
85%
50%
61%
37%
64%
40%
78%
60%
Cyber cafe
15%
74%
49%
6%
41%
79%
55%
47%
5%
0.9%
31%
0.4%
4%
0.0%
3%
6%
Place of Access
In transit (while traveling)
168
Table 11: Preferred language of reading Language
Magahi
Nepali
Oriya
Punjabi
Sanskrit
Santhali
All Internet Users
Male
100%
83%
92%
79%
100%
83%
82%
Female
0.0%
17%
8%
21%
0.0%
17%
18%
100%
100%
100%
100%
100%
100%
100%
74%
34%
4%
11%
0.0%
0.0%
9%
19-24 years
14%
50%
46%
51%
76%
24%
44%
25-35 years
0.0%
16%
40%
27%
24%
24%
34%
36-45 years
12%
0.0%
8%
9%
0.0%
35%
9%
Gender
Age Group 13-18 years
Above 45 years
0.0%
0.0%
3%
2%
0.0%
17%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
26%
9%
21%
18%
0.0%
0.0%
24%
SEC B
0.0%
46%
28%
28%
0.0%
0.0%
27%
SEC C
0.0%
9%
41%
19%
35%
48%
19%
SEC D
0.0%
0.0%
2%
13%
53%
0.0%
10%
SEC E
0.0%
6%
0.5%
5%
6%
0.0%
7%
Rural 1
0.0%
0.0%
4%
11%
6%
0.0%
3%
Rural 2
0.0%
6%
2%
2%
0.0%
0.0%
3%
Socio Economic Classification
Rural 3
74%
0.0%
1%
2%
0.0%
34%
4%
0.0%
24%
2%
0.6%
0.0%
18%
4%
100%
100%
100%
100%
100%
100%
100%
North
0.0%
4%
3%
88%
0.0%
0.0%
21%
East
0.0%
61%
88%
2%
6%
82%
15%
74%
28%
5%
4%
0.0%
18%
33%
Rural 4&5 Region
South West
26%
7%
5%
6%
94%
0.0%
31%
100%
100%
100%
100%
100%
100%
100%
Home
12%
33%
61%
68%
24%
82%
55%
Place of work (office / school / college)
26%
38%
45%
53%
88%
18%
60%
86%
80%
52%
45%
41%
41%
47%
0.0%
4%
3%
4%
17%
0.0%
6%
Place of Access
Cyber cafe In transit (while traveling)
169
Table 12: Preferred language of reading Language
Sindhi
Tamil
Tulu
Telugu
Urdu
Others
All Internet Users
Male
85%
75%
48%
87%
83%
88%
82%
Female
15%
25%
53%
13%
17%
12%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
4%
6%
0.0%
9%
16%
15%
9%
19-24 years
56%
48%
10%
55%
40%
44%
44%
25-35 years
30%
31%
58%
25%
34%
33%
34%
36-45 years
5%
9%
27%
8%
6%
9%
9%
Gender
Age Group
Above 45 years
6%
6%
5%
4%
4%
0.6%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
21%
16%
5%
14%
15%
8%
24%
SEC B
47%
22%
73%
25%
34%
12%
27%
SEC C
20%
23%
9%
30%
33%
3%
19%
SEC D
0.0%
13%
0.0%
11%
10%
3%
10%
SEC E
Socio Economic Classification
0.0%
2%
9%
3%
1%
4%
7%
Rural 1
4%
3%
0.0%
2%
0.0%
29%
3%
Rural 2
0.0%
4%
4%
3%
1%
11%
3%
Rural 3
0.0%
9%
0.0%
4%
3%
12%
4%
9%
8%
0.0%
7%
4%
18%
4%
100%
100%
100%
100%
100%
100%
100%
4%
0.8%
0.0%
1%
36%
27%
21%
0.0%
0.1%
38%
0.9%
8%
20%
15%
12%
92%
43%
90%
34%
44%
33%
Rural 4&5 Region North East South West
85%
8%
20%
8%
22%
9%
31%
100%
100%
100%
100%
100%
100%
100%
Home
74%
49%
85%
48%
48%
22%
55%
Place of work (office / school / college)
72%
64%
76%
52%
61%
46%
60%
Cyber cafe
37%
45%
66%
52%
35%
63%
47%
5%
4%
5%
4%
7%
6%
6%
Place of Access
In transit (while traveling)
170
Table 13: Socio economic classification SEC A
SEC B
SEC C
SEC D
SEC E
R1
R2
R3
R4
R5
All Internet Users
Male
80%
81%
86%
83%
79%
89%
86%
84%
84%
90%
82%
Female
20%
19%
14%
17%
21%
11%
14%
17%
16%
10%
18%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
5%
6%
11%
12%
10%
17%
9%
12%
16%
24%
9%
19-24 years
32%
40%
51%
50%
60%
39%
47%
52%
49%
54%
44%
25-35 years
40%
36%
28%
31%
26%
36%
32%
30%
32%
20%
34%
36-45 years
13%
11%
7%
6%
4%
7%
8%
4%
2%
0.0%
9%
SEC Gender
Age Group
Above 45 years
10%
7%
4%
2%
0.0%
2%
5%
2%
1%
3%
5%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A
100%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
24%
SEC B
0.0%
100%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
27%
SEC C
0.0%
0.0%
100%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
19%
SEC D
0.0%
0.0%
0.0%
100%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
10%
SEC E
0.0%
0.0%
0.0%
0.0%
100%
0.0%
0.0%
0.0%
0.0%
0.0%
7%
Rural 1
0.0%
0.0%
0.0%
0.0%
0.0%
100%
0.0%
0.0%
0.0%
0.0%
3%
Rural 2
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
0.0%
0.0%
0.0%
3%
Rural 3
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
0.0%
0.0%
4%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
4%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
North
28%
24%
15%
13%
8%
30%
27%
17%
14%
14%
21%
East
17%
17%
15%
9%
25%
14%
9%
6%
7%
6%
15%
South
27%
32%
36%
33%
10%
27%
47%
64%
62%
58%
33%
Region
West
28%
27%
34%
46%
58%
30%
17%
14%
17%
23%
31%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Home
72%
61%
51%
50%
37%
27%
37%
34%
33%
24%
55%
Place of work (office / school / college)
65%
61%
55%
57%
62%
46%
57%
61%
59%
53%
60%
Cyber cafe
42%
44%
46%
49%
57%
65%
54%
54%
45%
50%
47%
In transit (while traveling)
11%
7%
3%
3%
0.7%
1%
3%
2%
2%
3%
6%
Place of Access
171
Table 14: Highest educational qualification Up to SSC/HSC
College but not Graduate
Graduate & above general stream
Graduate & above professional stream
All Internet Users
Male
86%
86%
82%
77%
82%
Female
14%
14%
18%
23%
18%
100%
100%
100%
100%
100%
13-18 years
30%
20%
3%
0.6%
9%
19-24 years
35%
40%
52%
28%
44%
25-35 years
22%
30%
31%
51%
34%
36-45 years
7%
6%
9%
13%
9%
Education Gender
Age Group
Above 45 years
6%
4%
5%
7%
5%
100%
100%
100%
100%
100%
SEC A
12%
16%
24%
39%
24%
SEC B
24%
27%
29%
30%
27%
SEC C
33%
28%
19%
11%
19%
SEC D
16%
11%
10%
6%
10%
Socio Economic Classification
SEC E
5%
9%
8%
4%
7%
Rural 1
0.3%
0.5%
1%
1%
3%
Rural 2
2%
2%
2%
2%
3%
Rural 3
2%
3%
4%
4%
4%
Rural 4&5
6%
5%
4%
3%
4%
100%
100%
100%
100%
100%
North
14%
33%
18%
24%
21%
East
16%
14%
16%
13%
15%
South
23%
26%
35%
38%
33%
Region
West
47%
26%
31%
24%
31%
100%
100%
100%
100%
100%
Home
47%
59%
57%
64%
55%
Place of work (office / school / college)
50%
55%
61%
71%
60%
Cyber cafe
41%
48%
46%
45%
47%
3%
5%
6%
9%
6%
Place of Access
In transit (while traveling)
172
Table 15: Occupation Occupation
Junior level salaried
Middle / Senior level salaried
All Internet
Male
82%
86%
82%
Female
18%
14%
18%
100%
100%
100%
13-18 years
0.5%
0.2%
9%
19-24 years
33%
14%
44%
25-35 years
48%
55%
34%
36-45 years
11%
19%
9%
Gender
Age Group
Above 45 years
7%
12%
5%
100%
100%
100%
SEC A
19%
52%
24%
SEC B
35%
30%
27%
SEC C
20%
11%
19%
SEC D
12%
3%
10%
Socio Economic Classification
SEC E
6%
3%
7%
Rural 1
0.9%
0.1%
3%
Rural 2
2%
0.4%
3%
Rural 3
3%
0.7%
4%
Rural 4&5
2%
0.4%
4%
100%
100%
100%
North
19%
24%
21%
East
17%
15%
15%
South
34%
29%
33%
Region
West
30%
32%
31%
100%
100%
100%
Home
49%
64%
55%
Place of work (office / school / college)
76%
84%
60%
Cyber cafe
46%
43%
47%
6%
14%
6%
Place of Access
In transit (while traveling)
173
Table 16: Occupation Occupation
Self Employed Professionals
Shop owner/ Traders
All Internet Users
Male
87%
86%
82%
Female
13%
14%
18%
100%
100%
100%
13-18 years
0.4%
0.0%
9%
19-24 years
20%
21%
44%
25-35 years
47%
51%
34%
36-45 years
17%
17%
9%
Gender
Age Group
Above 45 years
16%
11%
5%
100%
100%
100%
SEC A
42%
32%
24%
SEC B
34%
33%
27%
SEC C
12%
22%
19%
SEC D
5%
2%
10%
SEC E
0.4%
0.1%
7%
Rural 1
0.5%
0.6%
3%
Rural 2
2%
3%
3%
Rural 3
3%
4%
4%
Rural 4&5
2%
4%
4%
100%
100%
100%
North
21%
21%
21%
East
11%
12%
15%
South
28%
35%
33%
Socio Economic Classification
Region
West
40%
33%
31%
100%
100%
100%
Home
65%
63%
55%
Place of work (office / school / college)
64%
64%
60%
Cyber cafe
35%
39%
47%
In transit (while traveling)
13%
5%
6%
Place of Access
174
Table 17: Occupation Occupation
Businessmen
Student
All Internet Users
95%
92%
82%
5%
8%
18%
100%
100%
100%
13-18 years
0.3%
29%
9%
19-24 years
23%
67%
44%
25-35 years
48%
4%
34%
36-45 years
20%
0.2%
9%
Gender Male Female Age Group
Above 45 years
9%
0.1%
5%
100%
100%
100%
SEC A
38%
14%
24%
SEC B
32%
20%
27%
SEC C
22%
25%
19%
SEC D
4%
12%
10%
Socio Economic Classification
SEC E
1%
7%
7%
Rural 1
0.4%
5%
3%
Rural 2
0.4%
3%
3%
Rural 3
0.9%
7%
4%
Rural 4&5
0.7%
8%
4%
100%
100%
100%
North
24%
20%
21%
East
19%
11%
15%
South
30%
34%
33%
Region
West
28%
36%
31%
100%
100%
100%
Home
65%
54%
55%
Place of work (office / school / college)
56%
42%
60%
Cyber cafe
33%
48%
47%
7%
3%
6%
Place of Access
In transit (while traveling)
175
Table 18: Occupation Occupation
Housewife
Others
All Internet Users
0.6%
85%
82%
99%
15%
18%
100%
100%
100%
13-18 years
0.0%
0.1%
9%
19-24 years
63%
12%
44%
25-35 years
30%
52%
34%
36-45 years
3%
24%
9%
Gender Male Female Age Group
Above 45 years
4%
12%
5%
100%
100%
100%
SEC A
21%
24%
24%
SEC B
25%
25%
27%
SEC C
14%
14%
19%
SEC D
14%
13%
10%
SEC E
Socio Economic Classification
16%
8%
7%
Rural 1
2%
1%
3%
Rural 2
2%
4%
3%
Rural 3
3%
4%
4%
Rural 4&5
3%
6%
4%
100%
100%
100%
North
16%
20%
21%
East
28%
12%
15%
South
37%
36%
33%
Region
West
19%
32%
31%
100%
100%
100%
Home
54%
61%
55%
Place of work (office / school / college)
50%
58%
60%
Cyber cafe
46%
35%
47%
2%
5%
6%
Place of Access
In transit (while traveling)
176
Table 19: Function / field of occupation Function
Marketing/Sales
Advertising/PR/Media
Finance
HR
IT/Software
Manufacturing
All Internet Users
Male
89%
80%
84%
59%
86%
96%
82%
Female
11%
20%
16%
41%
14%
5%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
5%
8%
2%
1%
4%
6%
9%
19-24 years
42%
33%
42%
41%
55%
43%
44%
25-35 years
38%
41%
40%
39%
36%
33%
34%
36-45 years
10%
15%
7%
14%
4%
8%
9%
Gender
Age Group
Above 45 years
6%
3%
10%
6%
0.9%
10%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
28%
26%
37%
41%
21%
25%
24%
SEC B
27%
29%
27%
25%
29%
20%
27%
SEC C
17%
18%
9%
15%
25%
20%
19%
SEC D
6%
9%
13%
6%
7%
14%
10%
SEC E
Socio Economic Classification
11%
2%
3%
1%
5%
9%
7%
Rural 1
1%
0.4%
1%
0.6%
1%
0.6%
3%
Rural 2
2%
2%
2%
2%
2%
2%
3%
Rural 3
4%
6%
4%
5%
4%
5%
4%
Rural 4&5
5%
9%
4%
3%
5%
4%
4%
100%
100%
100%
100%
100%
100%
100%
North
24%
21%
21%
28%
20%
18%
21%
East
12%
19%
15%
5%
12%
15%
15%
South
29%
40%
33%
38%
41%
29%
33%
Region
West
35%
21%
31%
29%
27%
38%
31%
100%
100%
100%
100%
100%
100%
100%
Home
47%
60%
50%
48%
57%
43%
55%
Place of work (office / school / college) Cyber cafe
65%
68%
66%
75%
69%
67%
60%
52%
36%
39%
42%
44%
36%
47%
7%
8%
10%
5%
5%
2%
6%
Place of Access
In transit (while traveling)
177
Table 20: Function / field of occupation Function
Administration
Academics
Consultancy
Others
All Internet Users
Male
69%
76%
84%
82%
82%
Female
31%
24%
16%
18%
18%
100%
100%
100%
100%
100%
13-18 years
1%
30%
0.8%
13%
9%
19-24 years
25%
47%
26%
49%
44%
25-35 years
43%
16%
41%
25%
34%
36-45 years
17%
5%
18%
8%
9%
Gender
Age Group
Above 45 years
14%
2%
14%
5%
5%
100%
100%
100%
100%
100%
SEC A
23%
22%
45%
20%
24%
SEC B
38%
25%
28%
24%
27%
SEC C
27%
21%
15%
23%
19%
SEC D
2%
8%
4%
9%
10%
SEC E
Socio Economic Classification
0.4%
11%
2%
7%
7%
Rural 1
1%
1%
1%
1%
3%
Rural 2
4%
3%
2%
3%
3%
Rural 3
3%
5%
2%
5%
4%
Rural 4&5
3%
5%
2%
7%
4%
100%
100%
100%
100%
100%
North
18%
24%
17%
20%
21%
East
13%
19%
21%
13%
15%
South
44%
34%
32%
36%
33%
Region
West
26%
23%
30%
32%
31%
100%
100%
100%
100%
100%
Home
33%
52%
52%
53%
55%
Place of work (office / school / college)
78%
47%
69%
52%
60%
Cyber cafe
29%
38%
38%
34%
47%
2%
4%
12%
4%
6%
Place of Access
In transit (while traveling)
178
Table 21: Head of the household Head Of HH
Head of the household
Not head of the household
All Internet Users
Male
90%
77%
82%
Female
10%
23%
18%
100%
100%
100%
13-18 years
3%
11%
9%
19-24 years
22%
56%
44%
25-35 years
46%
27%
34%
36-45 years
18%
4%
9%
Gender
Age Group
Above 45 years
12%
2%
5%
100%
100%
100%
SEC A
31%
21%
24%
SEC B
33%
25%
27%
SEC C
14%
24%
19%
SEC D
9%
11%
10%
SEC E
3%
10%
7%
Rural 1
1%
0.8%
3%
Rural 2
2%
2%
3%
Rural 3
4%
3%
4%
Rural 4&5
3%
4%
4%
100%
100%
100%
North
20%
20%
21%
East
14%
16%
15%
South
35%
32%
33%
Socio Economic Classification
Region
West
31%
32%
31%
100%
100%
100%
Home
56%
58%
55%
Place of work (office / school / college)
71%
55%
60%
Cyber cafe
41%
48%
47%
9%
4%
6%
Place of Access
In transit (while traveling)
179
Table 22: Monthly family income Income
Upto Rs. 10K
10-30K
30-50K
Above 50K
All Internet Users
Male
82%
84%
82%
79%
82%
Female
18%
16%
18%
21%
18%
100%
100%
100%
100%
100%
13-18 years
10%
5%
5%
7%
8%
19-24 years
52%
33%
27%
34%
43%
25-35 years
30%
40%
40%
36%
34%
36-45 years
6%
14%
15%
11%
9%
Gender
Age Group
Above 45 years
2%
8%
14%
12%
6%
100%
100%
100%
100%
100%
SEC A
12%
34%
54%
43%
24%
SEC B
24%
34%
26%
28%
27%
SEC C
24%
15%
8%
17%
19%
SEC D
12%
7%
5%
6%
10%
SEC E
Socio Economic Classification
11%
3%
2%
0.4%
7%
Rural 1
3%
3%
0.7%
1%
2%
Rural 2
3%
2%
2%
2%
3%
Rural 3
6%
2%
1%
3%
4%
Rural 4&5
7%
1%
1%
1%
4%
100%
100%
100%
100%
100%
North
18%
23%
29%
30%
21%
East
15%
15%
15%
14%
15%
South
37%
31%
27%
27%
34%
Region
West
31%
30%
29%
30%
30%
100%
100%
100%
100%
100%
Home
43%
66%
79%
73%
55%
Place of work (office / school / college)
57%
64%
71%
68%
61%
Cyber cafe
47%
45%
40%
37%
45%
3%
6%
16%
14%
6%
Place of Access
In transit (while traveling)
180
Table 23: Most expensive vehicle owned by the household Vehicle
2 Wheeler
4 Wheeler
Others
Don't own a vehicle
All Internet Users
Male
86%
78%
84%
77%
82%
Female
14%
22%
16%
23%
18%
100%
100%
100%
100%
100%
13-18 years
7%
8%
14%
9%
9%
19-24 years
44%
30%
57%
43%
44%
25-35 years
37%
36%
22%
35%
34%
36-45 years
9%
14%
4%
8%
9%
Gender
Age Group
Above 45 years
4%
12%
3%
4%
5%
100%
100%
100%
100%
100%
SEC A
24%
46%
10%
17%
24%
SEC B
29%
27%
19%
28%
27%
SEC C
20%
11%
23%
20%
19%
SEC D
9%
6%
12%
12%
10%
SEC E
3%
3%
14%
12%
7%
Rural 1
5%
3%
2%
2%
3%
Rural 2
3%
2%
4%
2%
3%
Rural 3
4%
2%
7%
3%
4%
Rural 4&5
4%
1%
9%
5%
4%
100%
100%
100%
100%
100%
North
20%
31%
18%
15%
21%
East
11%
15%
20%
19%
15%
South
37%
26%
32%
31%
33%
Socio Economic Classification
Region
West
31%
28%
31%
35%
31%
100%
100%
100%
100%
100%
Home
56%
78%
40%
47%
55%
Place of work (office / school / college)
60%
61%
56%
62%
60%
Cyber cafe
48%
34%
54%
47%
47%
5%
12%
4%
3%
6%
Place of Access
In transit (while traveling)
181
Table 24: Ownership of credit cards (individually) Credit Card
Don't own a credit card
Own a Credit Card
All Internet Users
Male
81%
86%
82%
Female
19%
14%
18%
100%
100%
100%
13-18 years
10%
4%
9%
19-24 years
50%
25%
44%
25-35 years
30%
45%
34%
36-45 years
7%
15%
9%
Gender
Age Group
Above 45 years
3%
12%
5%
100%
100%
100%
SEC A
19%
36%
24%
SEC B
26%
30%
27%
SEC C
21%
15%
19%
SEC D
10%
9%
10%
SEC E
8%
2%
7%
Rural 1
4%
3%
3%
Rural 2
3%
2%
3%
Rural 3
5%
2%
4%
Rural 4&5
5%
2%
4%
100%
100%
100%
North
20%
22%
21%
East
16%
13%
15%
South
33%
32%
33%
Socio Economic Classification
Region
West
31%
32%
31%
100%
100%
100%
Home
50%
70%
55%
Place of work (office / school / college)
56%
72%
60%
Cyber cafe
49%
41%
47%
4%
12%
6%
Place of Access
In transit (while traveling)
182
Table 25: Household asset ownership Color TV
Air Conditioner
Computer/Laptop
Demat Account
Share of Companies
All Internet Users
Male
82%
78%
83%
88%
88%
82%
Female
18%
22%
17%
13%
13%
18%
100%
100%
100%
100%
100%
100%
13-18 years
8%
10%
8%
6%
6%
9%
19-24 years
43%
33%
42%
32%
32%
44%
25-35 years
34%
33%
34%
39%
39%
34%
36-45 years
9%
13%
10%
13%
13%
9%
Asset Gender
Age Group
Above 45 years
6%
11%
7%
11%
11%
5%
100%
100%
100%
100%
100%
100%
SEC A
25%
44%
29%
39%
39%
24%
SEC B
27%
29%
29%
26%
26%
27%
SEC C
19%
11%
18%
15%
15%
19%
SEC D
10%
7%
9%
6%
6%
10%
SEC E
7%
5%
6%
8%
8%
7%
Rural 1
3%
1%
2%
0.9%
0.9%
3%
Rural 2
2%
0.9%
2%
2%
2%
3%
Rural 3
4%
1%
3%
2%
2%
4%
Rural 4&5
3%
1%
3%
1%
1%
4%
100%
100%
100%
100%
100%
100%
North
20%
29%
22%
24%
24%
21%
East
15%
15%
15%
14%
14%
15%
South
33%
26%
32%
23%
23%
33%
Socio Economic Classification
Region
West
32%
31%
32%
40%
40%
31%
100%
100%
100%
100%
100%
100%
Home
57%
81%
77%
72%
72%
55%
Place of work (office / school / college)
60%
59%
57%
62%
62%
60%
Cyber cafe
47%
36%
42%
34%
34%
47%
6%
13%
7%
8%
8%
6%
Place of Access
In transit (while traveling)
183
Table 26: Household asset ownership IPod
Cable TV connection/DTH
Microwave
Camera
Fixed Deposits
All Internet Users
Male
85%
82%
78%
82%
81%
82%
Female
15%
18%
22%
18%
19%
18%
100%
100%
100%
100%
100%
100%
13-18 years
9%
7%
8%
9%
7%
9%
19-24 years
43%
41%
30%
39%
40%
44%
25-35 years
32%
36%
36%
35%
33%
34%
36-45 years
9%
10%
13%
11%
11%
9%
Asset Gender
Age Group
Above 45 years
7%
6%
13%
7%
9%
5%
100%
100%
100%
100%
100%
100%
SEC A
35%
27%
46%
33%
37%
24%
SEC B
30%
28%
31%
30%
28%
27%
SEC C
16%
18%
13%
18%
14%
19%
SEC D
8%
9%
4%
8%
8%
10%
SEC E
5%
5%
2%
4%
6%
7%
Rural 1
1%
4%
1%
2%
2%
3%
Rural 2
1%
2%
1%
2%
2%
3%
Rural 3
2%
3%
1%
3%
2%
4%
Rural 4&5
2%
3%
0.9%
2%
1%
4%
100%
100%
100%
100%
100%
100%
North
22%
20%
29%
22%
23%
21%
East
15%
16%
15%
17%
17%
15%
South
30%
34%
25%
30%
23%
33%
Socio Economic Classification
Region
West
33%
30%
31%
32%
37%
31%
100%
100%
100%
100%
100%
100%
Home
77%
61%
84%
68%
74%
55%
Place of work (office / school / college)
62%
62%
61%
61%
61%
60%
Cyber cafe
47%
48%
40%
44%
47%
47%
In transit (while traveling)
12%
7%
14%
8%
10%
6%
Place of Access
184
Table 27: Household asset ownership Mutual Funds
Music System/DVD/MP3
Fridge
Mobile Phone
Video Camera
All Internet Users
Male
79%
84%
80%
83%
83%
82%
Female
21%
16%
20%
17%
17%
18%
100%
100%
100%
100%
100%
100%
13-18 years
5%
8%
8%
8%
11%
9%
19-24 years
34%
39%
41%
44%
36%
44%
25-35 years
39%
36%
34%
34%
37%
34%
36-45 years
13%
11%
11%
9%
10%
9%
Asset Gender
Age Group
Above 45 years
9%
7%
7%
6%
6%
5%
100%
100%
100%
100%
100%
100%
SEC A
39%
29%
29%
25%
37%
24%
SEC B
28%
29%
28%
27%
28%
27%
SEC C
14%
19%
19%
19%
12%
19%
SEC D
5%
8%
9%
9%
7%
10%
SEC E
8%
4%
6%
7%
9%
7%
Rural 1
2%
4%
3%
3%
1%
3%
Rural 2
1%
2%
2%
2%
1%
3%
Rural 3
2%
3%
3%
4%
2%
4%
Rural 4&5
1%
3%
2%
3%
2%
4%
100%
100%
100%
100%
100%
100%
North
20%
21%
22%
20%
25%
21%
East
20%
15%
16%
16%
14%
15%
South
24%
30%
29%
32%
28%
33%
Socio Economic Classification
Region
West
36%
34%
33%
32%
33%
31%
100%
100%
100%
100%
100%
100%
Home
71%
65%
63%
58%
80%
55%
Place of work (office / school / college)
69%
61%
60%
60%
63%
60%
Cyber cafe
45%
47%
45%
47%
44%
47%
In transit (while traveling)
12%
8%
7%
6%
12%
6%
Place of Access
185
Table 28: Household asset ownership Life Insurance
Chit Fund Deposits
Debit Card
Washing Machine
Landline Phone
All Internet Users
Male
83%
83%
86%
80%
82%
82%
Female
17%
17%
15%
20%
18%
18%
100%
100%
100%
100%
100%
100%
13-18 years
6%
9%
4%
8%
8%
9%
19-24 years
38%
47%
39%
37%
41%
44%
25-35 years
37%
31%
39%
35%
33%
34%
36-45 years
11%
7%
10%
12%
11%
9%
Asset Gender
Age Group
Above 45 years
7%
6%
7%
8%
9%
5%
100%
100%
100%
100%
100%
100%
SEC A
29%
31%
32%
34%
31%
24%
SEC B
28%
30%
29%
31%
29%
27%
SEC C
17%
13%
18%
16%
16%
19%
SEC D
8%
9%
9%
9%
8%
10%
SEC E
7%
4%
4%
4%
4%
7%
Rural 1
4%
3%
2%
2%
3%
3%
Rural 2
2%
2%
2%
1%
2%
3%
Rural 3
3%
5%
3%
2%
4%
4%
Rural 4&5
2%
3%
2%
1%
3%
4%
100%
100%
100%
100%
100%
100%
North
20%
13%
20%
27%
21%
21%
East
18%
6%
14%
12%
14%
15%
South
30%
56%
32%
28%
33%
33%
Socio Economic Classification
Region
West
32%
25%
34%
32%
32%
31%
100%
100%
100%
100%
100%
100%
Home
63%
69%
65%
70%
73%
55%
Place of work (office / school / college)
64%
64%
67%
63%
59%
60%
Cyber cafe
47%
51%
47%
42%
42%
47%
7%
10%
9%
8%
8%
6%
Place of Access
In transit (while traveling)
186
Table 29: Household asset ownership Bank Account
Medical Insurance/CGHS
Home
Credit Card
Land
Tube well/pump
All Internet Users
Male
83%
83%
82%
83%
84%
75%
82%
Female
17%
17%
18%
17%
16%
25%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
8%
6%
9%
6%
9%
6%
9%
19-24 years
42%
35%
47%
31%
47%
51%
44%
25-35 years
35%
36%
30%
41%
31%
28%
34%
36-45 years
9%
14%
9%
13%
8%
11%
9%
Asset Gender
Age Group
Above 45 years
6%
10%
6%
10%
6%
6%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
25%
39%
27%
37%
25%
19%
24%
SEC B
27%
28%
27%
30%
24%
20%
27%
SEC C
19%
17%
19%
15%
15%
11%
19%
SEC D
9%
7%
8%
9%
7%
8%
10%
SEC E
7%
3%
7%
2%
3%
14%
7%
Rural 1
3%
2%
1%
2%
2%
4%
3%
Rural 2
2%
2%
2%
1%
5%
5%
3%
Rural 3
4%
2%
4%
2%
9%
12%
4%
Rural 4&5
3%
1%
4%
2%
10%
8%
4%
100%
100%
100%
100%
100%
100%
100%
North
21%
20%
21%
23%
22%
14%
21%
East
16%
14%
15%
14%
14%
28%
15%
South
32%
29%
31%
32%
40%
36%
33%
Socio Economic Classification
Region
West
32%
36%
33%
32%
25%
22%
31%
100%
100%
100%
100%
100%
100%
100%
Home
58%
73%
60%
71%
60%
57%
55%
Place of work (office / school / college)
62%
66%
61%
68%
62%
71%
60%
Cyber cafe
48%
44%
46%
42%
46%
62%
47%
6%
11%
7%
11%
7%
8%
6%
Place of Access
In transit (while traveling)
187
Table 30: Current loan liabilities Home Loan
Business Loan
Car Loan
Personal Loan
Two - wheeler Loan
All Internet Users
Male
83%
82%
84%
77%
85%
82%
Female
17%
18%
17%
23%
15%
18%
100%
100%
100%
100%
100%
100%
13-18 years
9%
12%
10%
9%
8%
9%
19-24 years
44%
34%
33%
46%
35%
44%
25-35 years
29%
34%
41%
32%
39%
34%
36-45 years
10%
13%
8%
7%
12%
9%
Loan Gender
Age Group
Above 45 years
9%
8%
8%
7%
6%
5%
100%
100%
100%
100%
100%
100%
SEC A
29%
32%
34%
25%
26%
24%
SEC B
27%
31%
25%
26%
31%
27%
SEC C
17%
14%
15%
16%
19%
19%
SEC D
9%
11%
8%
9%
11%
10%
Socio Economic Classification
SEC E
9%
0.2%
10%
12%
2%
7%
Rural 1
0.9%
2%
2%
2%
2%
3%
Rural 2
2%
2%
2%
2%
2%
3%
Rural 3
4%
4%
2%
5%
4%
4%
Rural 4&5
3%
3%
2%
3%
3%
4%
100%
100%
100%
100%
100%
100%
North
18%
22%
22%
14%
15%
21%
East
13%
15%
17%
20%
14%
15%
South
32%
34%
30%
40%
41%
33%
Region
West
36%
29%
32%
26%
31%
31%
100%
100%
100%
100%
100%
100%
Home
64%
73%
71%
53%
60%
55%
Place of work (office / school / college)
60%
62%
64%
67%
66%
60%
Cyber cafe
45%
40%
45%
50%
49%
47%
8%
13%
9%
6%
9%
6%
Place of Access
In transit (while traveling)
188
Table 31: Current loan liabilities Loan
Consumer Durables
Education Loan
Agriculture Land Loan
Tube well/Pump Loan
Tractor/Power Tiller Loan
Seeds/Fertilizer Loan
All Internet Users
84%
83%
88%
93%
85%
87%
82%
Gender Male Female
16%
17%
12%
7%
15%
13%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
3%
16%
9%
10%
21%
10%
9%
19-24 years
27%
64%
55%
55%
49%
41%
44%
25-35 years
44%
15%
30%
17%
17%
33%
34%
36-45 years
17%
2%
2%
3%
2%
5%
9%
Age Group
Above 45 years
10%
4%
3%
15%
10%
11%
5%
100%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A
33%
22%
0.0%
0.0%
0.0%
0.0%
24%
SEC B
27%
25%
0.0%
0.0%
0.0%
3%
27%
SEC C
9%
20%
0.0%
0.0%
0.0%
0.0%
19%
SEC D
8%
7%
0.0%
0.0%
0.0%
0.0%
10%
SEC E
16%
4%
0.0%
0.0%
7%
0.0%
7%
Rural 1
2%
2%
14%
17%
10%
12%
3%
Rural 2
0.5%
3%
13%
4%
10%
12%
3%
Rural 3
3%
8%
34%
49%
30%
30%
4%
Rural 4&5
3%
9%
39%
30%
43%
43%
4%
100%
100%
100%
100%
100%
100%
100%
North
21%
17%
12%
25%
24%
16%
21%
East
15%
13%
5%
22%
12%
24%
15%
South
28%
49%
74%
39%
39%
55%
33%
West
36%
22%
10%
14%
25%
5%
31%
100%
100%
100%
100%
100%
100%
100%
Home
66%
50%
37%
48%
51%
51%
55%
Place of work (office / school / college)
75%
61%
57%
64%
46%
44%
60%
Cyber cafe
49%
44%
55%
50%
59%
45%
47%
In transit (while traveling)
14%
4%
2%
15%
11%
5%
6%
Region
Place of Access
189
Table 32: Years of experience in using internet Experience
Up to 1 year
1-2 years
More than 2 years
All Internet Users
Male
77%
82%
85%
82%
Female
24%
18%
15%
18%
100%
100%
100%
100%
13-18 years
18%
10%
4%
9%
19-24 years
57%
54%
36%
44%
25-35 years
18%
26%
42%
34%
36-45 years
5%
6%
11%
9%
Gender
Age Group
Above 45 years
3%
4%
7%
5%
100%
100%
100%
100%
SEC A
12%
16%
30%
24%
SEC B
21%
26%
30%
27%
SEC C
22%
23%
17%
19%
SEC D
14%
9%
8%
10%
SEC E
9%
9%
5%
7%
Rural 1
5%
5%
2%
3%
Rural 2
3%
3%
2%
3%
Rural 3
6%
5%
3%
4%
Rural 4&5
8%
5%
3%
4%
100%
100%
100%
100%
North
20%
19%
22%
21%
East
15%
14%
15%
15%
South
34%
35%
32%
33%
Socio Economic Classification
Region
West
31%
33%
31%
31%
100%
100%
100%
100%
Home
51%
47%
59%
55%
Place of work (office / school / college)
41%
48%
71%
60%
Cyber cafe
40%
45%
50%
47%
2%
2%
8%
6%
Place of Access
In transit (while traveling)
190
Table 33: No. of household members using internet 1 Member
2 Members
3 Members
4 Members
5 or more members
All Internet Users
Male
88%
82%
80%
68%
83%
82%
Female
13%
19%
20%
32%
17%
18%
100%
100%
100%
100%
100%
100%
13-18 years
11%
7%
6%
8%
12%
9%
19-24 years
44%
42%
44%
48%
39%
44%
25-35 years
34%
36%
31%
27%
37%
34%
36-45 years
8%
10%
11%
7%
7%
9%
Household Members Gender
Age Group
Above 45 years
3%
6%
9%
10%
5%
5%
100%
100%
100%
100%
100%
100%
SEC A
17%
28%
31%
26%
22%
24%
SEC B
25%
28%
29%
27%
27%
27%
SEC C
22%
18%
17%
16%
18%
19%
SEC D
11%
9%
6%
11%
9%
10%
SEC E
6%
4%
7%
13%
12%
7%
Rural 1
4%
4%
2%
2%
1%
3%
Rural 2
3%
2%
2%
2%
2%
3%
Rural 3
5%
4%
3%
3%
4%
4%
Rural 4&5
6%
3%
2%
3%
5%
4%
100%
100%
100%
100%
100%
100%
North
21%
21%
21%
19%
22%
21%
East
14%
14%
13%
23%
20%
15%
South
30%
35%
35%
34%
35%
33%
Socio Economic Classification
Region
West
36%
30%
31%
24%
23%
31%
100%
100%
100%
100%
100%
100%
Home
41%
62%
69%
62%
61%
55%
Place of work (office / school / college)
58%
60%
62%
65%
57%
60%
Cyber cafe
46%
45%
45%
54%
48%
47%
4%
6%
8%
7%
8%
6%
Place of Access
In transit (while traveling)
191
Table 34: Place of accessing internet Home
Place of work (office / school / college)
Cyber cafe
In transit (while traveling)
Choupal/Gram Panchayat
All Internet Users
Male
83%
83%
85%
89%
82%
82%
Female
18%
18%
16%
11%
18%
18%
100%
100%
100%
100%
100%
100%
13-18 years
8%
5%
8%
3%
21%
9%
19-24 years
42%
41%
49%
31%
50%
44%
25-35 years
33%
40%
34%
45%
25%
34%
36-45 years
10%
10%
6%
14%
1%
9%
Place Of Access Gender
Age Group
Above 45 years
7%
5%
3%
8%
2%
5%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A 31%
26%
21%
45%
0.0%
24%
SEC B
30%
27%
25%
32%
0.4%
27%
SEC C
18%
18%
19%
12%
0.0%
19%
SEC D
9%
9%
10%
6%
0.0%
10%
SEC E
5%
7%
8%
0.8%
1%
7%
Rural 1
2%
3%
5%
0.6%
12%
3%
Rural 2
2%
2%
3%
1%
11%
3%
Rural 3
3%
4%
5%
1%
34%
4%
Rural 4&5
2%
4%
4%
1%
42%
4%
100%
100%
100%
100%
100%
100%
North
22%
22%
19%
27%
15%
21%
East
16%
14%
16%
15%
15%
15%
South
32%
33%
32%
28%
69%
33%
West
30%
31%
33%
30%
1%
31%
100%
100%
100%
100%
100%
100%
100%
47%
47%
83%
37%
55%
Place of work (office / school / college)
51%
100%
59%
86%
51%
60%
Cyber cafe
40%
46%
100%
64%
64%
47%
8%
8%
8%
100%
16%
6%
Region
Place of Access Home
In transit (while
192
Table 35: Place of accessing most regularly internet Home
Place of work (office / school / college)
Cyber cafe
In transit (while traveling)
Choupal/Gram Panchayat
All Internet Users
Male
82%
80%
89%
86%
75%
82%
Female
18%
20%
11%
14%
25%
18%
100%
100%
100%
100%
100%
100%
13-18 years
11%
4%
14%
6%
25%
9%
19-24 years
44%
39%
54%
38%
34%
44%
25-35 years
28%
42%
27%
42%
35%
34%
36-45 years
9%
10%
5%
8%
6%
9%
Place Of Access Gender
Age Group
Above 45 years
8%
5%
1%
6%
0.0%
5%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A
29%
22%
12%
27%
0.0%
23%
SEC B
29%
27%
21%
27%
0.0%
27%
SEC C
19%
18%
23%
15%
0.0%
19%
SEC D
10%
9%
11%
15%
0.0%
10%
SEC E
5%
8%
8%
5%
0.0%
7%
Rural 1
2%
3%
9%
3%
0.0%
3%
Rural 2
2%
3%
4%
1%
12%
3%
Rural 3
2%
5%
7%
3%
21%
4%
Rural 4&5
3%
5%
7%
4%
67%
5%
100%
100%
100%
100%
100%
100%
North
21%
22%
16%
32%
28%
20%
East
17%
14%
14%
17%
22%
15%
South
33%
33%
34%
37%
51%
33%
Region
West
29%
32%
36%
15%
0.0%
31%
100%
100%
100%
100%
100%
100%
Home
99%
27%
9%
17%
0.0%
53%
Place of work (office / school / college)
39%
99%
21%
22%
0.0%
60%
Cyber cafe
34%
38%
99%
16%
100%
47%
7%
5%
2%
98%
0.0%
6%
Place of Access
In transit (while traveling)
193
Table 36: Type of internet connection at home Connection Type
Regular Dial Up
Broadband
Others
Don't Know
All Internet Users
Male
84%
81%
87%
68%
82%
Female
16%
19%
13%
32%
18%
100%
100%
100%
100%
100%
13-18 years
10%
9%
8%
15%
9%
19-24 years
42%
40%
40%
63%
41%
25-35 years
30%
31%
42%
14%
32%
36-45 years
11%
11%
7%
3%
10%
Gender
Age Group
Above 45 years
7%
9%
4%
5%
8%
100%
100%
100%
100%
100%
SEC A
25%
33%
30%
19%
31%
SEC B
31%
30%
26%
23%
29%
SEC C
16%
19%
17%
23%
18%
SEC D
6%
10%
8%
11%
9%
SEC E
4%
4%
9%
19%
5%
Rural 1
4%
1%
1%
0.0%
1%
Rural 2
4%
1%
2%
0.8%
2%
Rural 3
6%
2%
3%
4%
2%
Rural 4&5
6%
1%
4%
2%
2%
100%
100%
100%
100%
100%
North
24%
21%
25%
13%
22%
East
14%
15%
26%
13%
16%
South
29%
35%
21%
32%
32%
Socio Economic Classification
Region
West
34%
30%
28%
42%
30%
100%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
100%
Place of work (office / school / college)
49%
46%
56%
37%
48%
Cyber cafe
35%
36%
46%
48%
38%
5%
9%
12%
3%
9%
In transit (while traveling)
194
Table 37: Type of internet connection at office Connection Type
Regular Dial Up
Broadband
Others
Don't Know
All Internet Users
Male
83%
86%
86%
65%
83%
Female
17%
14%
14%
35%
18%
100%
100%
100%
100%
100%
13-18 years
3%
3%
4%
8%
4%
19-24 years
37%
34%
47%
64%
40%
25-35 years
45%
45%
38%
23%
41%
36-45 years
9%
12%
7%
4%
10%
Gender
Age Group
Above 45 years
5%
6%
4%
2%
5%
100%
100%
100%
100%
100%
SEC A
19%
29%
26%
16%
25%
SEC B
28%
30%
25%
21%
27%
SEC C
21%
19%
18%
14%
18%
SEC D
8%
10%
9%
12%
10%
SEC E
2%
3%
12%
28%
8%
Rural 1
1%
0.8%
0.8%
1%
2%
Rural 2
4%
2%
2%
1%
2%
Socio Economic Classification
Rural 3
7%
4%
3%
3%
4%
10%
3%
4%
5%
4%
100%
100%
100%
100%
100%
North
24%
21%
27%
12%
21%
East
13%
13%
24%
20%
15%
South
32%
34%
27%
31%
33%
Rural 4&5 Region
West
31%
33%
22%
37%
32%
100%
100%
100%
100%
100%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
37%
49%
53%
28%
44%
100%
100%
100%
100%
100%
38%
42%
44%
48%
43%
4%
10%
8%
2%
8%
195
Table 38: Type of internet connection at cybercafe Connection Type
Regular Dial Up
Broadband
Others
Don't Know
All Internet Users
Male
89%
86%
89%
77%
84%
Female
11%
14%
11%
24%
16%
100%
100%
100%
100%
100%
13-18 years
9%
7%
19%
9%
10%
19-24 years
54%
53%
52%
51%
52%
25-35 years
25%
31%
22%
33%
30%
36-45 years
9%
6%
2%
6%
6%
Gender
Age Group
Above 45 years
3%
2%
5%
2%
2%
100%
100%
100%
100%
100%
SEC A
15%
20%
12%
21%
18%
SEC B
32%
27%
19%
28%
25%
SEC C
20%
23%
31%
22%
21%
SEC D
7%
10%
18%
13%
10%
Socio Economic Classification
SEC E
8%
12%
3%
7%
9%
Rural 1
0.0%
1%
1%
0.4%
5%
Rural 2
1%
2%
3%
2%
3%
Rural 3
10%
3%
9%
3%
5%
7%
3%
4%
5%
5%
100%
100%
100%
100%
100%
North
18%
16%
21%
15%
17%
East
17%
20%
17%
11%
17%
South
31%
33%
39%
36%
33%
Rural 4&5 Region
West
34%
31%
23%
37%
33%
100%
100%
100%
100%
100%
Home
31%
39%
22%
31%
33%
Place of work (office / school / college)
46%
52%
34%
46%
45%
100%
100%
100%
100%
100%
5%
5%
3%
3%
4%
Place of Access
Cyber cafe In transit (while traveling)
196
Table 39: Type of internet connection in transit Connection Type
Regular Dial Up
Broadband
Others
Don't Know
All Internet Users
96%
93%
84%
76%
85%
4%
7%
16%
24%
15%
100%
100%
100%
100%
100%
13-18 years
0.0%
6%
4%
0.0%
4%
19-24 years
68%
21%
31%
54%
35%
25-35 years
28%
50%
36%
39%
39%
36-45 years
0.0%
11%
22%
2%
15%
Gender Male Female Age Group
Above 45 years
4%
12%
6%
5%
7%
100%
100%
100%
100%
100%
SEC A
14%
24%
53%
42%
43%
SEC B
0.0%
50%
29%
35%
33%
SEC C
18%
5%
10%
18%
11%
SEC D
68%
7%
3%
0.0%
7%
SEC E
0.0%
9%
0.0%
5%
3%
Rural 1
0.0%
3%
0.0%
0.0%
0.6%
Rural 2
0.0%
2%
3%
0.0%
2%
Rural 3
0.0%
0.0%
2%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
100%
72%
12%
32%
21%
28%
0.0%
9%
18%
16%
15%
21%
41%
22%
49%
30%
Socio Economic Classification
Region North East South West
7%
38%
29%
14%
27%
100%
100%
100%
100%
100%
Home
11%
45%
71%
34%
55%
Place of work (office / school / college)
23%
38%
67%
31%
52%
Place of Access
Cyber cafe In transit (while traveling)
6%
25%
46%
52%
40%
100%
100%
100%
100%
100%
197
Table 40: Service provider subscribed to at home VSNL / Tata
BSNL/Sancharnet
MTNL
Reliance
Sify
Spectranet
All Internet Users
Male
80%
84%
63%
86%
81%
92%
82%
Female
20%
16%
38%
14%
19%
8%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
4%
11%
7%
4%
18%
0.0%
9%
19-24 years
29%
40%
40%
46%
29%
47%
41%
25-35 years
38%
29%
30%
37%
30%
42%
32%
36-45 years
16%
11%
13%
8%
16%
5%
10%
Service Provider Gender
Age Group
Above 45 years
13%
9%
11%
5%
8%
7%
8%
100%
100%
100%
100%
100%
100%
100%
SEC A
34%
31%
32%
35%
33%
35%
31%
SEC B
32%
29%
31%
27%
28%
47%
29%
SEC C
14%
18%
25%
19%
19%
14%
18%
SEC D
12%
6%
8%
13%
15%
0.0%
9%
SEC E
1%
5%
1%
0.8%
2%
5%
5%
Rural 1
1%
2%
1%
3%
0.6%
0.0%
1%
Rural 2
1%
2%
0.8%
0.9%
1%
0.0%
2%
Rural 3
2%
4%
0.0%
0.8%
2%
0.0%
2%
Rural 4&5
2%
3%
0.8%
0.8%
0.0%
0.0%
2%
100%
100%
100%
100%
100%
100%
100%
North
15%
22%
22%
19%
26%
65%
22%
East
11%
17%
1%
16%
9%
3%
16%
South
40%
36%
0.5%
30%
27%
11%
32%
Socio Economic Classification
Region
West
34%
25%
76%
35%
39%
21%
30%
100%
100%
100%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
100%
100%
100%
Place of work (office / school / college)
55%
46%
62%
51%
46%
76%
48%
Cyber cafe
38%
35%
45%
48%
36%
52%
38%
In transit (while traveling)
12%
7%
10%
12%
9%
18%
9%
198
Table 41: Service provider subscribed to at home Service Provider
Airtel/Bharti
Local Cable Operator
Don't Know
Others
All Internet Users
Male
83%
81%
79%
81%
82%
Female
17%
19%
21%
19%
18%
100%
100%
100%
100%
100%
13-18 years
7%
5%
13%
12%
9%
19-24 years
39%
51%
51%
41%
41%
25-35 years
41%
28%
26%
31%
32%
36-45 years
8%
10%
4%
10%
10%
Gender
Age Group
Above 45 years
6%
6%
6%
6%
8%
100%
100%
100%
100%
100%
SEC A
31%
27%
25%
32%
31%
SEC B
32%
31%
23%
29%
29%
SEC C
13%
29%
21%
16%
18%
SEC D
11%
6%
10%
16%
9%
Socio Economic Classification
SEC E
7%
1%
16%
1%
5%
Rural 1
0.6%
3%
0.3%
0.2%
1%
Rural 2
1%
0.6%
1%
2%
2%
Rural 3
2%
1%
1%
0.9%
2%
Rural 4&5
2%
2%
2%
2%
2%
100%
100%
100%
100%
100%
North
29%
5%
18%
29%
22%
East
17%
35%
11%
9%
16%
South
28%
32%
30%
37%
32%
Region
West
26%
28%
41%
25%
30%
100%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
100%
Place of work (office / school / college)
55%
34%
39%
47%
48%
Cyber cafe
41%
30%
40%
35%
38%
In transit (while traveling)
11%
6%
5%
9%
9%
199
Table 42: Service provider subscribed to at office Service Provider
VSNL / Tata
BSNL/Sancharnet
MTNL
Reliance
Sify
All Internet Users
Male
85%
87%
67%
89%
87%
83%
Female
15%
13%
33%
11%
13%
18%
100%
100%
100%
100%
100%
100%
13-18 years
6%
3%
0.8%
3%
1%
4%
19-24 years
27%
33%
37%
35%
36%
40%
25-35 years
46%
44%
48%
42%
55%
41%
36-45 years
13%
13%
10%
13%
7%
10%
Gender
Age Group
Above 45 years
8%
8%
5%
7%
1%
5%
100%
100%
100%
100%
100%
100%
SEC A
26%
28%
20%
34%
27%
25%
SEC B
32%
28%
29%
27%
23%
27%
SEC C
20%
19%
37%
22%
32%
18%
SEC D
10%
8%
9%
6%
9%
10%
Socio Economic Classification
SEC E
6%
2%
1%
1%
2%
8%
Rural 1
0.5%
1%
0.0%
1%
0.8%
2%
Rural 2
2%
3%
0.4%
1%
1%
2%
Rural 3
2%
6%
1%
3%
2%
4%
Rural 4&5
2%
5%
3%
5%
4%
4%
100%
100%
100%
100%
100%
100%
9%
22%
26%
22%
19%
21%
East
10%
19%
1%
12%
11%
15%
South
38%
32%
6%
35%
25%
33%
Region North
West
43%
28%
67%
31%
45%
32%
100%
100%
100%
100%
100%
100%
Place of Access Home
50%
47%
49%
50%
33%
44%
100%
100%
100%
100%
100%
100%
Cyber cafe
41%
38%
52%
42%
42%
43%
In transit (while traveling)
10%
7%
5%
15%
4%
8%
Place of work (office / school / college)
200
Table 43: Service provider subscribed to at office Service Provider
Spectranet
Airtel/Bharti
Local Cable Operator
Don't Know
Others
All Internet Users
83%
86%
85%
75%
86%
83%
Gender Male Female
17%
14%
15%
25%
14%
18%
100%
100%
100%
100%
100%
100%
13-18 years
2%
3%
2%
6%
6%
4%
19-24 years
33%
35%
37%
56%
37%
40%
25-35 years
54%
48%
45%
30%
38%
41%
36-45 years
3%
10%
10%
6%
12%
10%
Age Group
Above 45 years
8%
3%
7%
2%
8%
5%
100%
100%
100%
100%
100%
100%
SEC A
37%
27%
20%
23%
29%
25%
SEC B
61%
31%
35%
26%
21%
27%
SEC C
0.0%
13%
25%
14%
19%
18%
SEC D
0.0%
9%
5%
12%
21%
10%
SEC E
0.0%
12%
6%
16%
1%
8%
Rural 1
0.0%
0.6%
0.9%
0.9%
1%
2%
Rural 2
3%
2%
2%
2%
2%
2%
Rural 3
0.0%
3%
3%
3%
3%
4%
Rural 4&5
0.0%
2%
4%
4%
4%
4%
100%
100%
100%
100%
100%
100%
70%
28%
13%
16%
30%
21%
Socio Economic Classification
Region North East
0.0%
14%
28%
16%
7%
15%
South
25%
37%
32%
33%
32%
33%
West
5%
21%
28%
34%
31%
32%
100%
100%
100%
100%
100%
100%
64%
54%
43%
38%
49%
44%
100%
100%
100%
100%
100%
100%
58%
41%
42%
50%
33%
43%
9%
11%
5%
6%
8%
8%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
201
Table 44: Service provider subscribed to at cybercafe Service Provider
VSNL / Tata
BSNL/Sancharnet
MTNL
Reliance
Sify
All Internet Users
Male
89%
90%
94%
92%
92%
84%
Female
11%
10%
6%
8%
8%
16%
100%
100%
100%
100%
100%
100%
13-18 years
3%
8%
7%
4%
9%
10%
19-24 years
46%
56%
39%
51%
47%
52%
25-35 years
37%
29%
46%
37%
35%
30%
36-45 years
8%
6%
1%
4%
8%
6%
Gender
Age Group
Above 45 years
5%
2%
7%
3%
1%
2%
100%
100%
100%
100%
100%
100%
SEC A
18%
20%
25%
17%
24%
18%
SEC B
34%
29%
12%
19%
34%
25%
SEC C
13%
23%
54%
21%
21%
21%
SEC D
21%
7%
6%
8%
11%
10%
SEC E
2%
3%
0.9%
19%
6%
9%
Rural 1
1%
2%
0.0%
3%
0.0%
5%
Rural 2
2%
3%
1%
3%
2%
3%
Rural 3
5%
6%
0.0%
4%
3%
5%
Rural 4&5
5%
6%
0.0%
6%
0.5%
5%
100%
100%
100%
100%
100%
100%
6%
23%
10%
17%
21%
17%
East
15%
18%
2%
6%
17%
17%
South
52%
31%
28%
44%
31%
33%
Socio Economic Classification
Region North
West
26%
29%
61%
32%
31%
33%
100%
100%
100%
100%
100%
100%
Home
32%
35%
27%
48%
52%
33%
Place of work (office / school / college)
47%
42%
63%
60%
56%
45%
100%
100%
100%
100%
100%
100%
4%
6%
13%
3%
6%
4%
Place of Access
Cyber cafe In transit (while traveling)
202
Table 45: Service provider subscribed to at cybercafe Spectranet
Airtel/Bharti
Local Cable Operator
Don't Know
Others
All Internet Users
91%
94%
88%
75%
83%
84%
9%
6%
12%
25%
17%
16%
100%
100%
100%
100%
100%
100%
13-18 years
0.0%
6%
2%
9%
19%
10%
19-24 years
46%
57%
59%
53%
37%
52%
25-35 years
45%
32%
26%
29%
37%
30%
36-45 years
9%
4%
9%
6%
5%
6%
Service Provider Gender Male Female Age Group
Above 45 years
0.0%
0.9%
4%
2%
2%
2%
100%
100%
100%
100%
100%
100%
SEC A
54%
15%
17%
20%
10%
18%
SEC B
46%
27%
41%
25%
19%
25%
SEC C
0.0%
28%
21%
21%
35%
21%
SEC D
0.0%
13%
10%
11%
19%
10%
SEC E
0.0%
11%
0.0%
14%
3%
9%
Rural 1
0.0%
0.5%
2%
0.5%
2%
5%
Rural 2
0.0%
1%
1%
2%
1%
3%
Rural 3
0.0%
3%
3%
3%
4%
5%
Rural 4&5
0.0%
2%
5%
4%
7%
5%
100%
100%
100%
100%
100%
100%
71%
22%
7%
13%
12%
17%
Socio Economic Classification
Region North East
0.0%
5%
32%
19%
25%
17%
South
0.0%
40%
40%
33%
32%
33%
West
29%
32%
20%
35%
31%
33%
100%
100%
100%
100%
100%
100%
Home
25%
42%
36%
30%
37%
33%
Place of work (office / school / college)
38%
41%
48%
51%
45%
45%
Cyber cafe
100%
100%
100%
100%
100%
100%
In transit (while traveling)
0.0%
5%
1%
3%
3%
4%
Place of Access
203
Table 46: Service provider subscribed to in transit Service Provider
VSNL / Tata
BSNL/Sancharnet
MTNL
Reliance
Sify
All Internet Users
93%
96%
100%
66%
45%
85%
7%
4%
0.0%
34%
55%
15%
100%
100%
100%
100%
100%
100%
0.0%
3%
20%
0.0%
51%
4%
19-24 years
9%
16%
0.0%
11%
13%
35%
25-35 years
61%
35%
81%
30%
31%
39%
36-45 years
26%
30%
0.0%
44%
0.0%
15%
Gender Male Female Age Group 13-18 years
Above 45 years
4%
17%
0.0%
15%
5%
7%
100%
100%
100%
100%
100%
100%
SEC A
45%
35%
7%
62%
17%
43%
SEC B
55%
17%
30%
21%
0.0%
33%
SEC C
0.0%
25%
0.0%
17%
83%
11%
SEC D
0.0%
12%
0.0%
0.0%
0.0%
7%
SEC E
0.0%
0.0%
64%
0.0%
0.0%
3%
Rural 1
0.0%
7%
0.0%
0.0%
0.0%
0.6%
Rural 2
0.0%
4%
0.0%
0.0%
0.0%
2%
Rural 3
0.0%
0.0%
0.0%
0.0%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
100%
100%
North
16%
32%
10%
21%
59%
28%
East
35%
18%
0.0%
26%
0.0%
15%
South
21%
49%
0.0%
22%
41%
30%
Socio Economic Classification
Region
West
28%
0.0%
90%
31%
0.0%
27%
100%
100%
100%
100%
100%
100%
Home
69%
62%
26%
74%
17%
55%
Place of work (office / school / college)
70%
39%
26%
66%
41%
52%
Place of Access
Cyber cafe In transit (while traveling)
33%
37%
20%
36%
13%
40%
100%
100%
100%
100%
100%
100%
204
Table 47: Service provider subscribed to in transit Spectranet
Airtel/Bharti
Local Cable Operator
Don't Know
Others
All Internet Users
Male
100%
96%
100%
77%
88%
85%
Female
0.0%
5%
0.0%
23%
12%
15%
100%
100%
100%
100%
100%
100%
13-18 years
100%
1%
0.0%
3%
0.0%
4%
19-24 years
0.0%
43%
0.0%
47%
63%
35%
25-35 years
0.0%
39%
100%
40%
27%
39%
36-45 years
0.0%
12%
0.0%
0.8%
9%
15%
Service Provider Gender
Age Group
Above 45 years
0.0%
5%
0.0%
9%
1%
7%
100%
100%
100%
100%
100%
100%
SEC A
100%
47%
100%
37%
42%
43%
SEC B
0.0%
40%
0.0%
35%
29%
33%
SEC C
0.0%
3%
0.0%
16%
0.0%
11%
SEC D
0.0%
2%
0.0%
5%
29%
7%
SEC E
0.0%
0.0%
0.0%
4%
0.0%
3%
Rural 1
0.0%
0.0%
0.0%
0.0%
0.0%
0.6%
Rural 2
0.0%
3%
0.0%
4%
0.0%
2%
Rural 3
0.0%
5%
0.0%
0.0%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
100%
100%
0.0%
26%
37%
20%
46%
28%
East
0.0%
20%
0.0%
7%
0.0%
15%
South
100%
27%
0.0%
49%
19%
30%
Socio Economic Classification
Region North
West
0.0%
27%
63%
24%
35%
27%
100%
100%
100%
100%
100%
100%
Home
100%
60%
0.0%
36%
58%
55%
Place of work (office / school / college)
100%
66%
100%
22%
58%
52%
Cyber cafe
100%
45%
100%
43%
44%
40%
In transit (while traveling)
100%
100%
100%
100%
100%
100%
Place of Access
205
Table 48: Frequency of accessing internet from home Frequency
At least once daily
Weekly, but not daily
Less than once a week
All Internet Users
Male
83%
75%
84%
82%
Female
17%
25%
16%
18%
100%
100%
100%
100%
13-18 years
9%
12%
10%
9%
19-24 years
41%
37%
44%
41%
25-35 years
32%
35%
35%
32%
36-45 years
10%
10%
4%
10%
Gender
Age Group
Above 45 years
8%
6%
7%
8%
100%
100%
100%
100%
SEC A
31%
29%
25%
31%
SEC B
29%
32%
30%
29%
SEC C
19%
15%
22%
18%
SEC D
9%
10%
4%
9%
SEC E
6%
0.8%
1%
5%
Rural 1
1%
4%
7%
1%
Rural 2
1%
2%
3%
2%
Rural 3
2%
4%
2%
2%
Rural 4&5
2%
2%
7%
2%
100%
100%
100%
100%
North
21%
25%
13%
22%
East
16%
16%
19%
16%
South
33%
25%
41%
32%
Socio Economic Classification
Region
West
30%
34%
28%
30%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
Place of work (office / school / college)
47%
57%
54%
48%
Cyber cafe
37%
43%
49%
38%
9%
5%
3%
9%
In transit (while traveling)
206
Table 49: Frequency of accessing internet from office Frequency
At least once daily
Weekly, but not daily
Less than once a week
All Internet Users
Male
85%
67%
81%
83%
Female
15%
33%
20%
18%
100%
100%
100%
100%
13-18 years
3%
7%
9%
4%
19-24 years
35%
67%
57%
40%
25-35 years
45%
18%
30%
41%
36-45 years
11%
4%
3%
10%
Gender
Age Group
Above 45 years
6%
4%
0.8%
5%
100%
100%
100%
100%
SEC A
27%
19%
20%
25%
SEC B
29%
21%
31%
27%
SEC C
18%
20%
20%
18%
SEC D
10%
9%
12%
10%
Socio Economic Classification
SEC E
6%
19%
2%
8%
Rural 1
0.9%
0.9%
2%
2%
Rural 2
2%
2%
2%
2%
Rural 3
3%
4%
5%
4%
Rural 4&5
3%
6%
6%
4%
100%
100%
100%
100%
North
21%
16%
18%
21%
East
13%
28%
8%
15%
South
32%
34%
37%
33%
Region
West
34%
21%
38%
32%
100%
100%
100%
100%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
47%
32%
46%
44%
100%
100%
100%
100%
42%
53%
44%
43%
9%
3%
3%
8%
207
Table 50: Frequency of accessing internet from cybercafe Frequency
At least once daily
Weekly, but not daily
Less than once a week
All Internet Users
Male
89%
81%
78%
84%
Female
11%
19%
22%
16%
100%
100%
100%
100%
13-18 years
7%
8%
12%
10%
19-24 years
53%
54%
47%
52%
25-35 years
32%
30%
32%
30%
36-45 years
6%
6%
5%
6%
Gender
Age Group
Above 45 years
2%
2%
4%
2%
100%
100%
100%
100%
SEC A
16%
18%
26%
18%
SEC B
25%
26%
32%
25%
SEC C
25%
24%
16%
21%
SEC D
14%
10%
9%
10%
SEC E
Socio Economic Classification
10%
13%
4%
9%
Rural 1
1%
0.6%
1%
5%
Rural 2
2%
2%
3%
3%
Rural 3
4%
3%
4%
5%
Rural 4&5
3%
4%
5%
5%
100%
100%
100%
100%
North
15%
13%
24%
17%
East
12%
22%
15%
17%
South
36%
33%
34%
33%
Region
West
37%
32%
28%
33%
100%
100%
100%
100%
Home
23%
34%
58%
33%
Place of work (office / school / college)
36%
56%
52%
45%
100%
100%
100%
100%
4%
4%
5%
4%
Place of Access
Cyber cafe In transit (while traveling)
208
Table 51: Frequency of accessing internet during transit Frequency
At least once daily
Weekly, but not daily
Less than once a week
All Internet Users
Male
89%
73%
92%
85%
Female
11%
28%
8%
15%
100%
100%
100%
100%
13-18 years
2%
9%
5%
4%
19-24 years
33%
42%
33%
35%
25-35 years
43%
27%
44%
39%
36-45 years
16%
15%
10%
15%
Gender
Age Group
Above 45 years
7%
7%
9%
7%
100%
100%
100%
100%
SEC A
47%
27%
51%
43%
SEC B
33%
35%
25%
33%
SEC C
11%
17%
0.0%
11%
SEC D
3%
20%
6%
7%
SEC E
1%
0.0%
16%
3%
Rural 1
1%
0.0%
0.0%
0.6%
Rural 2
2%
2%
3%
2%
Socio Economic Classification
Rural 3
2%
0.0%
0.0%
1%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
North
26%
40%
20%
28%
East
15%
11%
21%
15%
South
36%
23%
18%
30%
Rural 4&5 Region
West
24%
27%
41%
27%
100%
100%
100%
100%
Home
58%
44%
60%
55%
Place of work (office / school / college)
57%
47%
36%
52%
Place of Access
Cyber cafe In transit (while traveling)
42%
38%
32%
40%
100%
100%
100%
100%
209
Table 52: Time of the day accessing internet from home Midnight to 9.00 AM
9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
Throughout the Day
All Internet Users
91%
73%
84%
81%
82%
9%
27%
16%
19%
18%
100%
100%
100%
100%
100%
13-18 years
7%
19%
6%
9%
9%
19-24 years
43%
36%
38%
51%
41%
25-35 years
30%
30%
38%
23%
32%
36-45 years
10%
9%
11%
10%
10%
Time Gender Male Female Age Group
Above 45 years
10%
7%
8%
7%
8%
100%
100%
100%
100%
100%
SEC A
30%
28%
31%
32%
31%
SEC B
26%
28%
30%
31%
29%
SEC C
22%
18%
18%
16%
18%
SEC D
7%
11%
9%
8%
9%
SEC E
5%
3%
5%
7%
5%
Rural 1
2%
3%
0.8%
1%
1%
Rural 2
1%
1%
2%
2%
2%
Rural 3
3%
3%
2%
2%
2%
Rural 4&5
4%
4%
2%
1%
2%
100%
100%
100%
100%
100%
North
19%
26%
22%
18%
22%
East
17%
11%
18%
16%
16%
South
39%
34%
31%
30%
32%
Socio Economic Classification
Region
West
26%
29%
29%
36%
30%
100%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
100%
Place of work (office / school / college)
47%
35%
56%
40%
48%
Cyber cafe
35%
37%
38%
38%
38%
In transit (while traveling)
11%
4%
9%
10%
9%
210
Table 53: Time of the day accessing internet from office Midnight to 9.00 AM
9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
Throughout the Day
All Internet Users
Male
88%
81%
86%
83%
83%
Female
12%
19%
14%
17%
18%
100%
100%
100%
100%
100%
13-18 years
3%
5%
7%
2%
4%
19-24 years
44%
44%
48%
29%
40%
25-35 years
47%
37%
36%
50%
41%
36-45 years
3%
10%
6%
14%
10%
Time Gender
Age Group
Above 45 years
4%
5%
3%
6%
5%
100%
100%
100%
100%
100%
SEC A
17%
24%
21%
34%
25%
SEC B
23%
27%
26%
32%
27%
SEC C
10%
19%
21%
16%
18%
SEC D
13%
10%
16%
7%
10%
SEC E
Socio Economic Classification
24%
10%
2%
5%
8%
Rural 1
2%
0.9%
1%
0.6%
2%
Rural 2
2%
2%
3%
2%
2%
Rural 3
4%
4%
4%
2%
4%
Rural 4&5
5%
4%
6%
2%
4%
100%
100%
100%
100%
100%
North
18%
19%
18%
23%
21%
East
31%
16%
10%
14%
15%
South
26%
32%
47%
29%
33%
Region
West
25%
33%
25%
34%
32%
100%
100%
100%
100%
100%
61%
41%
29%
58%
44%
100%
100%
100%
100%
100%
57%
42%
40%
44%
43%
8%
6%
4%
13%
8%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
211
Table 54: Time of the day accessing internet from cyber café Midnight to 9.00 AM
9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
Throughout the Day
All Internet Users
Male
83%
85%
87%
62%
84%
Female
18%
15%
13%
38%
16%
100%
100%
100%
100%
100%
13-18 years
24%
9%
8%
8%
10%
19-24 years
38%
54%
49%
63%
52%
25-35 years
25%
29%
35%
25%
30%
36-45 years
10%
6%
6%
3%
6%
Time Gender
Age Group
Above 45 years
3%
2%
3%
2%
2%
100%
100%
100%
100%
100%
SEC A
18%
17%
23%
14%
18%
SEC B
21%
26%
30%
19%
25%
SEC C
19%
24%
23%
17%
21%
SEC D
24%
13%
10%
9%
10%
Socio Economic Classification
SEC E
5%
8%
5%
34%
9%
Rural 1
0.0%
1%
0.9%
0.3%
5%
Rural 2
1%
2%
2%
0.9%
3%
Rural 3
5%
4%
3%
4%
5%
Rural 4&5
7%
4%
4%
3%
5%
100%
100%
100%
100%
100%
17%
18%
14%
13%
17%
5%
15%
14%
41%
17%
41%
36%
37%
16%
33%
Region North East South West
37%
31%
35%
31%
33%
100%
100%
100%
100%
100%
Home
26%
39%
34%
28%
33%
Place of work (office / school / college)
39%
40%
54%
63%
45%
100%
100%
100%
100%
100%
3%
5%
4%
5%
4%
Place of Access
Cyber cafe In transit (while traveling)
212
Table 55: Time of the day accessing internet during transit Midnight to 9.00 AM
9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
Throughout the Day
All Internet Users
Male
70%
82%
92%
83%
85%
Female
30%
18%
8%
17%
15%
100%
100%
100%
100%
100%
13-18 years
9%
8%
0.0%
4%
4%
19-24 years
31%
33%
41%
30%
35%
25-35 years
42%
37%
36%
46%
39%
36-45 years
10%
17%
14%
17%
15%
Time Gender
Age Group
Above 45 years
9%
5%
10%
4%
7%
100%
100%
100%
100%
100%
SEC A
34%
32%
41%
58%
43%
SEC B
21%
34%
35%
30%
33%
SEC C
27%
15%
9%
6%
11%
SEC D
17%
6%
12%
0.0%
7%
SEC E
0.0%
10%
0.0%
0.0%
3%
Rural 1
0.0%
0.0%
0.0%
2%
0.6%
Rural 2
0.0%
3%
0.0%
4%
2%
Rural 3
0.0%
0.0%
3%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
100%
2%
20%
35%
33%
28%
0.0%
31%
6%
14%
15%
39%
29%
30%
30%
30%
Socio Economic Classification
Region North East South West
59%
21%
29%
23%
27%
100%
100%
100%
100%
100%
Home
59%
55%
39%
78%
55%
Place of work (office / school / college)
72%
43%
49%
61%
52%
Place of Access
Cyber cafe In transit (while traveling)
61%
42%
31%
45%
40%
100%
100%
100%
100%
100%
213
Table 56: 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 Internet Users
Male
79%
82%
82%
82%
86%
85%
82%
Female
21%
18%
18%
18%
14%
15%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
11%
7%
7%
11%
13%
7%
9%
19-24 years
40%
37%
36%
46%
42%
53%
41%
25-35 years
29%
34%
34%
29%
35%
31%
32%
36-45 years
10%
13%
13%
8%
6%
5%
10%
Duration Gender
Age Group
Above 45 years
9%
9%
10%
7%
5%
3%
8%
100%
100%
100%
100%
100%
100%
100%
SEC A
30%
35%
31%
30%
29%
29%
31%
SEC B
27%
27%
30%
30%
25%
38%
29%
SEC C
17%
19%
16%
20%
22%
17%
18%
SEC D
9%
8%
9%
10%
8%
7%
9%
SEC E
8%
4%
6%
5%
9%
0.4%
5%
Rural 1
2%
2%
2%
1%
1%
0.6%
1%
Rural 2
2%
1%
2%
1%
0.9%
1%
2%
Rural 3
2%
2%
2%
2%
2%
3%
2%
Rural 4&5
3%
1%
3%
2%
4%
4%
2%
100%
100%
100%
100%
100%
100%
100%
North
24%
22%
20%
22%
22%
24%
22%
East
12%
11%
19%
16%
17%
22%
16%
South
33%
34%
33%
31%
32%
28%
32%
Socio Economic Classification
Region
West
31%
34%
28%
32%
30%
26%
30%
100%
100%
100%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
100%
100%
100%
Place of work (office / school / college)
53%
55%
50%
44%
36%
45%
48%
Cyber cafe
31%
38%
41%
37%
34%
37%
38%
5%
9%
9%
8%
8%
12%
9%
In transit (while traveling)
214
Table 57: Duration of PC usage from home Duration
Light users
Medium users
Heavy users
All Internet Users
Male
81%
82%
85%
82%
Female
19%
18%
15%
18%
100%
100%
100%
100%
13-18 years
7%
11%
10%
9%
19-24 years
37%
46%
48%
41%
25-35 years
34%
29%
33%
32%
36-45 years
13%
8%
6%
10%
Gender
Age Group
Above 45 years
10%
7%
4%
8%
100%
100%
100%
100%
SEC A
32%
30%
29%
31%
SEC B
29%
30%
32%
29%
SEC C
17%
20%
19%
18%
SEC D
9%
10%
8%
9%
SEC E
5%
5%
4%
5%
Rural 1
2%
1%
0.8%
1%
Rural 2
2%
1%
1%
2%
Rural 3
2%
2%
2%
2%
Rural 4&5
2%
2%
4%
2%
100%
100%
100%
100%
North
21%
22%
23%
22%
East
15%
16%
20%
16%
South
34%
31%
30%
32%
Socio Economic Classification
Region
West
30%
32%
28%
30%
100%
100%
100%
100%
Place of Access Home
100%
100%
100%
100%
Place of work (office / school / college)
52%
44%
41%
48%
Cyber cafe
39%
37%
36%
38%
8%
8%
10%
9%
In transit (while traveling)
215
Table 58: 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 Internet Users
Male
80%
86%
86%
75%
82%
86%
83%
Female
21%
14%
14%
25%
18%
14%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
2%
11%
5%
3%
1%
1%
4%
19-24 years
41%
40%
43%
47%
31%
34%
40%
25-35 years
41%
33%
36%
38%
49%
51%
41%
36-45 years
11%
10%
10%
7%
13%
11%
10%
Duration Gender
Age Group
Above 45 years
6%
6%
6%
5%
6%
3%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
30%
27%
25%
21%
32%
27%
25%
SEC B
28%
29%
27%
23%
33%
31%
27%
SEC C
19%
14%
25%
17%
12%
20%
18%
SEC D
10%
15%
9%
10%
8%
8%
10%
Socio Economic Classification
SEC E
4%
4%
2%
20%
6%
7%
8%
Rural 1
0.8%
0.9%
1%
0.9%
0.6%
0.8%
2%
Rural 2
3%
2%
2%
2%
2%
2%
2%
Rural 3
2%
4%
5%
4%
3%
2%
4%
Rural 4&5
4%
5%
4%
4%
3%
3%
4%
100%
100%
100%
100%
100%
100%
100%
North
18%
19%
22%
19%
22%
21%
21%
East
13%
10%
11%
25%
16%
13%
15%
South
39%
38%
38%
28%
29%
28%
33%
Region
West
30%
33%
30%
28%
33%
38%
32%
100%
100%
100%
100%
100%
100%
100%
49%
41%
43%
43%
47%
52%
44%
100%
100%
100%
100%
100%
100%
100%
43%
42%
43%
50%
39%
39%
43%
7%
7%
6%
7%
10%
12%
8%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
216
Table 59: Duration of PC usage from office Duration
Light users
Medium users
Heavy users
All Internet Users
Male
85%
75%
84%
83%
Female
16%
25%
16%
18%
100%
100%
100%
100%
13-18 years
6%
3%
1%
4%
19-24 years
42%
47%
33%
40%
25-35 years
36%
38%
50%
41%
36-45 years
10%
7%
12%
10%
Gender
Age Group
Above 45 years
6%
5%
4%
5%
100%
100%
100%
100%
SEC A
26%
21%
29%
25%
SEC B
28%
23%
32%
27%
SEC C
20%
17%
17%
18%
SEC D
11%
10%
8%
10%
SEC E
3%
20%
7%
8%
Rural 1
1%
0.9%
0.8%
2%
Rural 2
2%
2%
2%
2%
Rural 3
4%
4%
3%
4%
Rural 4&5
4%
4%
3%
4%
100%
100%
100%
100%
North
20%
19%
22%
21%
East
11%
25%
14%
15%
South
38%
28%
28%
33%
Socio Economic Classification
Region
West
31%
28%
36%
32%
100%
100%
100%
100%
Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
43%
43%
50%
44%
100%
100%
100%
100%
43%
50%
39%
43%
7%
7%
11%
8%
217
Table 60: Duration of PC usage from cybercafe Less than 30 Minutes
30 to 60 Minutes
1-2 Hours
2-5 Hours
5-8 Hours
More than 8 Hours
All Internet Users
Male
85%
86%
88%
73%
90%
84%
84%
Female
15%
14%
13%
28%
10%
16%
16%
100%
100%
100%
100%
100%
100%
100%
13-18 years
10%
9%
6%
10%
13%
8%
10%
19-24 years
48%
49%
52%
59%
50%
59%
52%
25-35 years
32%
32%
34%
25%
28%
26%
30%
36-45 years
7%
7%
6%
5%
8%
5%
6%
Duration Gender
Age Group
Above 45 years
2%
3%
2%
2%
0.9%
2%
2%
100%
100%
100%
100%
100%
100%
100%
SEC A
27%
21%
19%
15%
20%
20%
18%
SEC B
30%
27%
27%
25%
24%
37%
25%
SEC C
20%
26%
22%
23%
19%
10%
21%
SEC D
8%
12%
16%
5%
19%
8%
10%
SEC E
4%
5%
6%
24%
4%
3%
9%
Rural 1
1%
0.6%
1%
0.6%
0.0%
3%
5%
Rural 2
2%
2%
2%
2%
5%
2%
3%
Rural 3
3%
4%
4%
3%
2%
9%
5%
Rural 4&5
5%
3%
4%
3%
7%
8%
5%
100%
100%
100%
100%
100%
100%
100%
North
15%
19%
15%
14%
19%
17%
17%
East
10%
14%
15%
27%
9%
19%
17%
South
41%
33%
39%
25%
50%
38%
33%
Socio Economic Classification
Region
West
34%
34%
31%
34%
22%
26%
33%
100%
100%
100%
100%
100%
100%
100%
Home
48%
41%
34%
27%
23%
33%
33%
Place of work (office / school / college)
57%
49%
48%
50%
30%
43%
45%
100%
100%
100%
100%
100%
100%
100%
4%
5%
4%
3%
0.8%
7%
4%
Place of Access
Cyber cafe In transit (while traveling)
218
Table 61: Duration of PC usage from cybercafe Duration
Light users
Medium users
Heavy users
All Internet Users
Male
87%
73%
86%
84%
Female
13%
28%
14%
16%
100%
100%
100%
100%
13-18 years
8%
10%
10%
10%
19-24 years
50%
59%
56%
52%
25-35 years
33%
25%
27%
30%
36-45 years
6%
5%
6%
6%
Gender
Age Group
Above 45 years
3%
2%
1%
2%
100%
100%
100%
100%
SEC A
21%
15%
20%
18%
SEC B
27%
25%
32%
25%
SEC C
23%
23%
14%
21%
SEC D
13%
5%
12%
10%
Socio Economic Classification
SEC E
6%
24%
3%
9%
Rural 1
0.9%
0.6%
2%
5%
Rural 2
2%
2%
3%
3%
Rural 3
4%
3%
7%
5%
Rural 4&5
4%
3%
8%
5%
100%
100%
100%
100%
North
16%
14%
18%
17%
East
14%
27%
15%
17%
South
37%
25%
42%
33%
Region
West
33%
34%
24%
33%
100%
100%
100%
100%
Home
39%
27%
29%
33%
Place of work (office / school / college)
49%
50%
38%
45%
100%
100%
100%
100%
4%
3%
5%
4%
Place of Access
Cyber cafe In transit (while traveling)
219
Table 62: Duration of PC usage during transit Less than 30 Minutes
30 to 60 Minutes
1-2 Hours
2-5 Hours
5-8 Hours
More than 8 Hours
All Internet Users
Male
89%
82%
80%
88%
100%
100%
85%
Female
11%
18%
20%
12%
0.0%
0.0%
15%
100%
100%
100%
100%
100%
100%
100%
13-18 years
1%
2%
1%
7%
12%
24%
4%
19-24 years
28%
33%
35%
41%
38%
39%
35%
25-35 years
46%
41%
38%
35%
38%
27%
39%
36-45 years
17%
18%
15%
12%
0.0%
10%
15%
Duration Gender
Age Group
Above 45 years
7%
5%
11%
6%
12%
0.0%
7%
100%
100%
100%
100%
100%
100%
100%
SEC A
38%
43%
49%
39%
68%
43%
43%
SEC B
37%
34%
20%
37%
32%
32%
33%
SEC C
9%
6%
21%
12%
0.0%
0.0%
11%
SEC D
4%
16%
8%
2%
0.0%
0.0%
7%
Socio Economic Classification
SEC E
11%
0.0%
0.0%
3%
0.0%
0.0%
3%
Rural 1
0.0%
0.0%
0.0%
0.0%
0.0%
25%
0.6%
Rural 2
2%
1%
2%
3%
0.0%
0.0%
2%
Rural 3
0.0%
0.0%
0.0%
5%
0.0%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
100%
100%
100%
20%
34%
32%
26%
31%
16%
28%
9%
24%
26%
0.0%
25%
0.0%
15%
27%
23%
31%
39%
44%
33%
30%
Region North East South West
44%
20%
11%
36%
0.0%
51%
27%
100%
100%
100%
100%
100%
100%
100%
Home
56%
53%
60%
55%
37%
59%
55%
Place of work (office / school / college)
71%
50%
57%
40%
42%
44%
52%
Place of Access
Cyber cafe In transit (while traveling)
50%
36%
39%
40%
7%
50%
40%
100%
100%
100%
100%
100%
100%
100%
220
Table 63: Duration of PC usage during transit Duration
Light users
Medium users
Heavy users
All Internet Users
Male
83%
88%
100%
85%
Female
17%
12%
0.0%
15%
100%
100%
100%
100%
13-18 years
2%
7%
18%
4%
19-24 years
32%
41%
38%
35%
25-35 years
41%
35%
32%
39%
36-45 years
17%
12%
5%
15%
Gender
Age Group
Above 45 years
8%
6%
6%
7%
100%
100%
100%
100%
SEC A
43%
39%
55%
43%
SEC B
31%
37%
32%
33%
SEC C
11%
12%
0.0%
11%
SEC D
10%
2%
0.0%
7%
Socio Economic Classification
SEC E
3%
3%
0.0%
3%
Rural 1
0.0%
0.0%
13%
0.6%
Rural 2
2%
3%
0.0%
2%
Rural 3
0.0%
5%
0.0%
1%
Rural 4&5
0.0%
0.0%
0.0%
0.0%
100%
100%
100%
100%
North
30%
26%
23%
28%
East
21%
0.0%
13%
15%
South
26%
39%
39%
30%
Region
West
24%
36%
25%
27%
100%
100%
100%
100%
Home
56%
55%
48%
55%
Place of work (office / school / college)
58%
40%
43%
52%
Place of Access
Cyber cafe In transit (while traveling)
41%
40%
28%
40%
100%
100%
100%
100%
221
Table 64: Time spent by internet users on watching TV Time Spent
Light users
Medium users
Heavy users
All Internet Users
Male
84%
84%
80%
82%
Female
16%
16%
20%
18%
100%
100%
100%
100%
13-18 years
8%
9%
15%
9%
19-24 years
40%
36%
40%
44%
25-35 years
36%
37%
32%
34%
36-45 years
12%
10%
7%
9%
Gender
Age Group
Above 45 years
5%
8%
7%
5%
100%
100%
100%
100%
SEC A
27%
26%
22%
24%
SEC B
25%
25%
22%
27%
SEC C
15%
17%
24%
19%
SEC D
9%
9%
6%
10%
SEC E
7%
5%
7%
7%
Rural 1
5%
8%
8%
3%
Rural 2
3%
3%
3%
3%
Rural 3
5%
4%
5%
4%
Rural 4&5
5%
3%
3%
4%
100%
100%
100%
100%
North
22%
21%
22%
21%
East
14%
13%
13%
15%
South
30%
32%
32%
33%
Socio Economic Classification
Region
West
35%
34%
33%
31%
100%
100%
100%
100%
Home
59%
50%
54%
55%
Place of work (office / school / college)
62%
63%
42%
60%
Cyber cafe
47%
47%
56%
47%
8%
8%
7%
6%
Place of Access
In transit (while traveling)
222
Table 65: Time spent by internet users on reading newspaper Time Spent
Light users
Medium users
Heavy users
All Internet Users
Male
85%
83%
83%
82%
Female
15%
17%
17%
18%
100%
100%
100%
100%
13-18 years
12%
6%
8%
9%
19-24 years
42%
36%
32%
44%
25-35 years
35%
37%
35%
34%
36-45 years
9%
11%
12%
9%
Gender
Age Group
Above 45 years
3%
9%
13%
5%
100%
100%
100%
100%
SEC A
22%
30%
30%
24%
SEC B
21%
28%
31%
27%
SEC C
21%
12%
16%
19%
SEC D
7%
10%
8%
10%
SEC E
9%
2%
5%
7%
Rural 1
8%
6%
2%
3%
Rural 2
4%
3%
2%
3%
Rural 3
5%
4%
3%
4%
Rural 4&5
5%
4%
3%
4%
100%
100%
100%
100%
North
21%
23%
21%
21%
East
12%
15%
19%
15%
South
29%
33%
30%
33%
Socio Economic Classification
Region
West
39%
30%
30%
31%
100%
100%
100%
100%
Home
51%
58%
61%
55%
Place of work (office / school / college)
57%
64%
56%
60%
Cyber cafe
48%
49%
49%
47%
5%
10%
10%
6%
Place of Access
In transit (while traveling)
223
Table 66: Time spent by internet users on listening to radio Time Spent
Light users
Medium users
Heavy users
All Internet Users
Male
84%
79%
83%
82%
Female
16%
21%
17%
18%
100%
100%
100%
100%
13-18 years
8%
7%
13%
9%
19-24 years
39%
41%
55%
44%
25-35 years
37%
40%
24%
34%
36-45 years
10%
9%
5%
9%
Gender
Age Group
Above 45 years
7%
4%
4%
5%
100%
100%
100%
100%
SEC A
29%
22%
22%
24%
SEC B
25%
28%
22%
27%
SEC C
16%
12%
11%
19%
SEC D
10%
10%
7%
10%
SEC E
4%
8%
26%
7%
Rural 1
6%
6%
3%
3%
Rural 2
3%
3%
2%
3%
Rural 3
4%
6%
3%
4%
Rural 4&5
4%
5%
5%
4%
100%
100%
100%
100%
North
22%
22%
25%
21%
East
14%
12%
7%
15%
South
33%
33%
19%
33%
Socio Economic Classification
Region
West
31%
34%
49%
31%
100%
100%
100%
100%
Home
59%
51%
41%
55%
Place of work (office / school / college)
63%
59%
57%
60%
Cyber cafe
48%
57%
49%
47%
8%
10%
9%
6%
Place of Access
In transit (while traveling)
224
Table 67: Popularity of various internet activities Activity
Check business/financial news
Check health & lifestyle info
Check hobby related info
Screensavers/wallpapers
Adult content
Egreetings
All Internet Users
87%
78%
81%
83%
94%
75%
82%
Gender Male Female
13%
22%
20%
18%
6%
25%
18%
100%
100%
100%
100%
100%
100%
100%
Age Group 13-18 years
4%
6%
8%
10%
5%
7%
9%
19-24 years
37%
38%
44%
53%
44%
47%
44%
25-35 years
40%
37%
33%
28%
35%
33%
34%
36-45 years
11%
11%
9%
6%
10%
9%
9%
9%
8%
6%
3%
6%
5%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
31%
30%
28%
23%
27%
26%
24%
SEC B
29%
31%
28%
28%
30%
28%
27%
SEC C
17%
17%
19%
20%
20%
18%
19%
SEC D
9%
9%
10%
12%
8%
11%
10%
SEC E
5%
4%
4%
8%
7%
6%
7%
Rural 1
2%
2%
3%
2%
2%
2%
3%
Rural 2
2%
2%
2%
2%
2%
2%
3%
Rural 3
3%
3%
3%
3%
2%
3%
4%
Above 45 years Socio Economic Classification
Rural 4&5
3%
3%
3%
3%
2%
3%
4%
100%
100%
100%
100%
100%
100%
100%
North
21%
21%
21%
21%
23%
19%
21%
East
16%
15%
15%
18%
16%
17%
15%
South
31%
33%
32%
31%
30%
35%
33%
West
32%
30%
32%
30%
31%
30%
31%
100%
100%
100%
100%
100%
100%
100%
Home
64%
66%
65%
61%
67%
62%
55%
Place of work (office / school / college)
69%
64%
61%
59%
63%
65%
60%
Cyber cafe
47%
49%
51%
50%
48%
50%
47%
In transit (while traveling)
9%
9%
9%
6%
10%
8%
6%
Region
Place of Access
225
Table 68: Popularity of various internet activities Activity
Pay bills online
Net banking
Check cricket score
Send/receive email using mobile handset
Download music/movies
All Internet Users
87%
86%
92%
87%
85%
82%
Gender Male Female
13%
15%
8%
13%
15%
18%
100%
100%
100%
100%
100%
100%
13-18 years
3%
2%
7%
8%
8%
9%
19-24 years
32%
31%
47%
48%
51%
44%
25-35 years
47%
48%
33%
32%
31%
34%
36-45 years
11%
12%
8%
7%
6%
9%
Age Group
Above 45 years
7%
7%
5%
4%
4%
5%
100%
100%
100%
100%
100%
100%
SEC A
36%
34%
25%
25%
26%
24%
SEC B
32%
32%
28%
27%
27%
27%
SEC C
14%
15%
20%
20%
21%
19%
SEC D
8%
8%
10%
11%
11%
10%
SEC E
3%
4%
7%
6%
7%
7%
Rural 1
2%
1%
1%
2%
1%
3%
Rural 2
2%
2%
2%
2%
2%
3%
Rural 3
2%
2%
3%
4%
3%
4%
Rural 4&5
2%
2%
3%
4%
3%
4%
100%
100%
100%
100%
100%
100%
North
22%
22%
19%
20%
21%
21%
East
12%
13%
14%
14%
16%
15%
South
32%
31%
33%
35%
32%
33%
West
34%
34%
34%
32%
32%
31%
100%
100%
100%
100%
100%
100%
Home
73%
69%
58%
63%
65%
55%
Place of work (office / school / college)
74%
73%
67%
60%
60%
60%
Cyber cafe
46%
45%
47%
48%
48%
47%
In transit (while traveling)
14%
13%
7%
9%
7%
6%
Socio Economic Classification
Region
Place of Access
226
Table 69: Popularity of various internet activities Emailing
Matrimonial search
Job Search
Share pictures
Professional networking
All Internet Users
Male
83%
85%
82%
83%
83%
82%
Female
17%
15%
18%
17%
17%
18%
100%
100%
100%
100%
100%
100%
13-18 years
8%
5%
5%
7%
6%
9%
19-24 years
44%
43%
47%
49%
45%
44%
25-35 years
34%
39%
37%
33%
38%
34%
36-45 years
9%
8%
7%
7%
8%
9%
Activity Gender
Age Group
Above 45 years
5%
5%
4%
3%
4%
5%
100%
100%
100%
100%
100%
100%
SEC A
24%
23%
23%
24%
24%
24%
SEC B
27%
29%
28%
28%
28%
27%
SEC C
19%
20%
19%
18%
18%
19%
SEC D
9%
12%
10%
11%
9%
10%
SEC E
7%
6%
8%
9%
11%
7%
Rural 1
3%
1%
2%
1%
2%
3%
Rural 2
2%
2%
2%
2%
2%
3%
Rural 3
4%
4%
4%
3%
4%
4%
Rural 4&5
4%
4%
4%
4%
4%
4%
100%
100%
100%
100%
100%
100%
North
20%
20%
20%
20%
21%
21%
East
15%
15%
15%
17%
16%
15%
South
33%
34%
34%
33%
33%
33%
Socio Economic Classification
Region
West
31%
32%
31%
30%
30%
31%
100%
100%
100%
100%
100%
100%
Home
56%
56%
55%
61%
56%
55%
Place of work (office / school / college)
60%
63%
63%
62%
68%
60%
Cyber cafe
48%
47%
50%
49%
51%
47%
6%
6%
6%
7%
7%
6%
Place of Access
In transit (while traveling)
227
Table 70: Popularity of various internet activities Check news
Instant messaging/chatting
Check Sports
Dating/Friendship
Astrology
All Internet Users
Male
83%
83%
88%
85%
79%
82%
Female
17%
17%
13%
15%
21%
18%
100%
100%
100%
100%
100%
100%
13-18 years
7%
8%
7%
9%
7%
9%
19-24 years
43%
47%
45%
49%
46%
44%
25-35 years
35%
35%
35%
33%
34%
34%
36-45 years
10%
7%
9%
6%
8%
9%
Activity Gender
Age Group
Above 45 years
6%
4%
4%
3%
5%
5%
100%
100%
100%
100%
100%
100%
SEC A
25%
24%
24%
23%
23%
24%
SEC B
28%
28%
28%
28%
29%
27%
SEC C
19%
19%
20%
19%
18%
19%
SEC D
10%
10%
10%
11%
11%
10%
SEC E
8%
8%
8%
9%
10%
7%
Rural 1
1%
2%
1%
1%
1%
3%
Rural 2
2%
2%
2%
2%
2%
3%
Rural 3
3%
4%
4%
4%
3%
4%
Rural 4&5
4%
4%
4%
4%
4%
4%
100%
100%
100%
100%
100%
100%
North
20%
20%
19%
20%
21%
21%
East
15%
15%
16%
16%
17%
15%
South
34%
33%
35%
34%
33%
33%
Socio Economic Classification
Region
West
31%
32%
30%
30%
30%
31%
100%
100%
100%
100%
100%
100%
Home
58%
59%
57%
58%
56%
55%
Place of work (office / school / college)
66%
61%
66%
62%
65%
60%
Cyber cafe
47%
49%
48%
52%
49%
47%
7%
6%
6%
6%
6%
6%
Place of Access
In transit (while traveling)
228
Table 71: Popularity of various internet activities Activity
Check cinema content
Social networking / Communities
Listen to/Buy Music
Online games
Mobile contents (ring tones, etc.)
All Internet Users
84%
85%
84%
84%
88%
82%
Gender Male Female
16%
15%
16%
17%
12%
18%
100%
100%
100%
100%
100%
100%
13-18 years
7%
8%
8%
10%
9%
9%
19-24 years
48%
47%
49%
46%
49%
44%
25-35 years
35%
35%
34%
33%
33%
34%
36-45 years
8%
7%
6%
8%
7%
9%
Age Group
Above 45 years
3%
3%
3%
4%
3%
5%
100%
100%
100%
100%
100%
100%
SEC A
23%
27%
23%
23%
22%
24%
SEC B
29%
29%
28%
28%
29%
27%
SEC C
19%
20%
19%
20%
21%
19%
SEC D
11%
10%
12%
10%
11%
10%
SEC E
9%
6%
9%
9%
7%
7%
Rural 1
0.9%
0.8%
1%
1%
1%
3%
Rural 2
2%
2%
2%
2%
2%
3%
Rural 3
3%
3%
3%
3%
4%
4%
Rural 4&5
4%
3%
3%
4%
4%
4%
100%
100%
100%
100%
100%
100%
North
19%
22%
20%
21%
21%
21%
East
17%
15%
16%
15%
15%
15%
South
35%
33%
34%
33%
33%
33%
West
29%
30%
30%
30%
31%
31%
100%
100%
100%
100%
100%
100%
Home
57%
65%
59%
59%
59%
55%
Place of work (office / school / college)
63%
64%
62%
63%
61%
60%
Cyber cafe
51%
49%
51%
49%
51%
47%
6%
8%
6%
6%
6%
6%
Socio Economic Classification
Region
Place of Access
In transit (while traveling)
229
Table 72: Popularity of various internet activities Educational / Learning material
Buy/Rent Movie CD/DVD
Video Sharing
English info search engine
All Internet Users
Male
81%
88%
88%
85%
82%
Female
19%
13%
12%
16%
18%
100%
100%
100%
100%
100%
13-18 years
9%
8%
8%
6%
9%
19-24 years
50%
45%
49%
43%
44%
25-35 years
31%
37%
34%
37%
34%
36-45 years
7%
8%
6%
9%
9%
Activity Gender
Age Group
Above 45 years
3%
3%
3%
5%
5%
100%
100%
100%
100%
100%
SEC A
22%
21%
23%
26%
24%
SEC B
28%
28%
29%
29%
27%
SEC C
20%
22%
20%
19%
19%
SEC D
10%
12%
12%
9%
10%
SEC E
9%
6%
7%
8%
7%
Rural 1
2%
1%
0.9%
1%
3%
Rural 2
2%
2%
2%
2%
3%
Rural 3
4%
4%
4%
3%
4%
Rural 4&5
4%
4%
4%
3%
4%
100%
100%
100%
100%
100%
North
20%
20%
21%
20%
21%
East
18%
13%
14%
17%
15%
South
34%
34%
35%
32%
33%
Socio Economic Classification
Region
West
28%
32%
31%
31%
31%
100%
100%
100%
100%
100%
Home
56%
55%
62%
62%
55%
Place of work (office / school / college)
65%
63%
64%
65%
60%
Cyber cafe
52%
49%
51%
51%
47%
5%
6%
7%
8%
6%
Place of Access
In transit (while traveling)
230
Table 73: Popularity of various internet activities Activity
Local language search engine
Search/Buy travel products
Net telephony
Search/Buy other than travel products
Check real estate info
Check financial info
All Internet Users
85%
86%
87%
86%
86%
85%
82%
Gender Male Female
16%
14%
13%
14%
14%
15%
18%
100%
100%
100%
100%
100%
100%
100%
Age Group 13-18 years
8%
6%
7%
6%
7%
5%
9%
19-24 years
46%
37%
45%
42%
40%
40%
44%
25-35 years
35%
41%
38%
37%
39%
38%
34%
36-45 years
7%
11%
6%
10%
9%
11%
9%
Above 45 years
4%
6%
4%
5%
5%
6%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
22%
30%
23%
27%
24%
27%
24%
SEC B
29%
29%
28%
28%
29%
29%
27%
SEC C
20%
16%
21%
20%
19%
16%
19%
SEC D
10%
10%
12%
11%
11%
10%
10%
SEC E
10%
7%
6%
5%
6%
9%
7%
Rural 1
1%
1%
1%
1%
1%
1%
3%
Rural 2
2%
2%
2%
2%
2%
2%
3%
Rural 3
4%
3%
4%
4%
3%
3%
4%
Socio Economic Classification
Rural 4&5
4%
3%
4%
4%
4%
3%
4%
100%
100%
100%
100%
100%
100%
100%
North
20%
22%
20%
21%
20%
21%
21%
East
16%
15%
13%
14%
14%
17%
15%
South
34%
32%
36%
34%
35%
29%
33%
West
29%
31%
31%
32%
31%
33%
31%
100%
100%
100%
100%
100%
100%
100%
Home
57%
61%
59%
62%
59%
61%
55%
Place of work (office / school / college)
66%
69%
65%
67%
66%
68%
60%
Cyber cafe
51%
48%
49%
48%
49%
48%
47%
6%
9%
7%
9%
7%
8%
6%
Region
Place of Access
In transit (while traveling)
231
Table 74: Popularity of various internet activities Activity
Visit Online stock trading
Check / read blogs
Comment on blog post
Have a blog site of own
Social media platform users
Online stock trading
All Internet Users
88%
86%
86%
88%
83%
88%
82%
Gender Male Female
12%
15%
14%
12%
17%
13%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
6%
6%
6%
5%
8%
6%
9%
19-24 years
41%
43%
47%
49%
45%
32%
44%
25-35 years
38%
35%
32%
36%
34%
39%
34%
36-45 years
11%
10%
9%
5%
8%
13%
9%
Age Group
Above 45 years
5%
6%
6%
6%
5%
11%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
27%
29%
33%
29%
25%
39%
24%
SEC B
29%
28%
29%
26%
28%
26%
27%
SEC C
18%
16%
16%
19%
19%
15%
19%
SEC D
10%
11%
8%
10%
10%
6%
10%
SEC E
6%
6%
5%
6%
8%
8%
7%
Rural 1
1%
1%
2%
1%
0.9%
0.9%
3%
Rural 2
2%
2%
2%
2%
2%
2%
3%
Rural 3
4%
3%
2%
4%
3%
2%
4%
Rural 4&5
3%
4%
3%
5%
4%
1%
4%
100%
100%
100%
100%
100%
100%
100%
North
21%
20%
24%
19%
20%
24%
21%
East
14%
15%
16%
18%
15%
14%
15%
South
31%
33%
28%
32%
33%
23%
33%
West
34%
32%
31%
30%
32%
40%
31%
100%
100%
100%
100%
100%
100%
100%
Home
62%
68%
74%
76%
59%
72%
55%
Place of work (office / school / college)
65%
62%
66%
59%
62%
62%
60%
Cyber cafe
47%
48%
53%
48%
47%
34%
47%
8%
9%
14%
11%
6%
8%
6%
Socio Economic Classification
Region
Place of Access
In transit (while traveling)
232
Table 75: Online shopping Online Shopping
Buyers
Non-Buyers
All Internet Users
Male
87%
81%
82%
Female
14%
19%
18%
100%
100%
100%
13-18 years
4%
10%
9%
19-24 years
31%
47%
44%
25-35 years
42%
31%
34%
36-45 years
14%
7%
9%
Gender
Age Group
Above 45 years
8%
5%
5%
100%
100%
100%
SEC A
37%
20%
24%
SEC B
31%
26%
27%
SEC C
13%
21%
19%
SEC D
8%
10%
10%
SEC E
5%
7%
7%
Rural 1
1%
4%
3%
Rural 2
2%
3%
3%
Rural 3
2%
5%
4%
Rural 4&5
2%
5%
4%
100%
100%
100%
North
22%
21%
21%
East
15%
15%
15%
South
29%
34%
33%
Socio Economic Classification
Region
West
34%
30%
31%
100%
100%
100%
Home
73%
49%
55%
Place of work (office / school / college)
70%
57%
60%
Cyber cafe
45%
47%
47%
In transit (while traveling)
13%
3%
6%
Place of Access
233
Table 76: Response to online marketing stimulus Response
Clicked a sponsored search ad
Clicked a banner ad
Clicked a product/service emailer
Participated in an online contest
All Internet Users
88%
88%
88%
85%
85%
Gender Male Female
12%
12%
12%
16%
15%
100%
100%
100%
100%
100%
13-18 years
6%
7%
6%
7%
7%
19-24 years
40%
42%
39%
39%
41%
25-35 years
38%
36%
39%
39%
37%
36-45 years
10%
10%
10%
10%
9%
Age Group
Above 45 years
6%
6%
7%
6%
6%
100%
100%
100%
100%
100%
SEC A
29%
30%
29%
32%
29%
SEC B
29%
31%
30%
31%
29%
SEC C
16%
17%
14%
16%
18%
SEC D
11%
11%
10%
9%
10%
SEC E
5%
3%
8%
5%
5%
Rural 1
2%
0.9%
1%
0.8%
2%
Rural 2
2%
2%
2%
2%
2%
Rural 3
2%
3%
3%
2%
3%
Rural 4&5
3%
2%
3%
2%
4%
100%
100%
100%
100%
100%
North
20%
21%
20%
21%
21%
East
17%
15%
17%
18%
16%
South
32%
33%
30%
30%
32%
West
31%
31%
33%
32%
31%
100%
100%
100%
100%
100%
Home
71%
72%
70%
71%
67%
Place of work (office / school / college)
67%
64%
71%
66%
64%
Cyber cafe
53%
52%
53%
50%
48%
In transit (while traveling)
10%
10%
11%
10%
8%
Socio Economic Classification
Region
Place of Access
234
Table 77: Response to online marketing stimulus Received viral ad from someone
Forwarded viral ad to someone
Subscribe to online newsletters
None of the above
All Internet Users
Male
88%
93%
84%
94%
85%
Female
12%
7%
16%
6%
15%
100%
100%
100%
100%
100%
13-18 years
8%
13%
6%
48%
7%
19-24 years
41%
44%
40%
18%
41%
25-35 years
38%
35%
37%
21%
37%
36-45 years
8%
5%
10%
7%
9%
Response Gender
Age Group
Above 45 years
5%
2%
7%
6%
6%
100%
100%
100%
100%
100%
SEC A
24%
20%
33%
25%
29%
SEC B
26%
27%
29%
12%
29%
SEC C
21%
20%
16%
9%
18%
SEC D
9%
11%
10%
40%
10%
Socio Economic Classification
SEC E
12%
8%
4%
2%
5%
Rural 1
0.7%
2%
0.9%
2%
2%
Rural 2
1%
2%
2%
0.9%
2%
Rural 3
3%
4%
3%
10%
3%
Rural 4&5
3%
5%
3%
0.0%
4%
100%
100%
100%
100%
100%
North
14%
15%
20%
15%
21%
East
20%
13%
14%
11%
16%
South
31%
31%
33%
16%
32%
Region
West
35%
41%
33%
59%
31%
100%
100%
100%
100%
100%
Home
79%
69%
72%
44%
67%
Place of work (office / school / college)
63%
67%
68%
72%
64%
Cyber cafe
52%
53%
51%
27%
48%
In transit (while traveling)
11%
10%
10%
7%
8%
Place of Access
235
Table 78: Blogging activities Check/read blogs
Comment on blog post
Have a blog site of own
None of the above
All Internet Users
Male
86%
86%
88%
81%
82%
Female
15%
14%
12%
19%
18%
100%
100%
100%
100%
100%
13-18 years
6%
6%
5%
10%
9%
19-24 years
43%
47%
49%
43%
44%
25-35 years
35%
32%
36%
33%
34%
36-45 years
10%
9%
5%
9%
9%
Activity Gender
Age Group
Above 45 years
6%
6%
6%
5%
5%
100%
100%
100%
100%
100%
SEC A
29%
33%
29%
22%
24%
SEC B
28%
29%
26%
27%
27%
SEC C
16%
16%
19%
20%
19%
SEC D
11%
8%
10%
10%
10%
SEC E
6%
5%
6%
6%
7%
Rural 1
1%
2%
1%
4%
3%
Rural 2
2%
2%
2%
3%
3%
Rural 3
3%
2%
4%
5%
4%
Rural 4&5
4%
3%
5%
5%
4%
100%
100%
100%
100%
100%
North
20%
24%
19%
21%
21%
East
15%
16%
18%
15%
15%
South
33%
28%
32%
33%
33%
Socio Economic Classification
Region
West
32%
31%
30%
31%
31%
100%
100%
100%
100%
100%
Home
68%
74%
76%
51%
55%
Place of work (office / school / college)
62%
66%
59%
59%
60%
Cyber cafe
48%
53%
48%
47%
47%
9%
14%
11%
4%
6%
Place of Access
In transit (while traveling)
236
Table 79: Frequently read blog website Frequency
Over 5 times a Day
2-5 times a Day
Once Daily
Once In 2-3 Days
Once a Week
1-3 times a Month
Once in More than a Month
All Internet Users
89%
91%
84%
91%
83%
79%
76%
86%
Gender Male Female
11%
9%
16%
9%
17%
21%
24%
15%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
5%
8%
5%
5%
7%
5%
10%
6%
19-24 years
55%
51%
40%
46%
39%
37%
34%
43%
25-35 years
30%
30%
36%
34%
38%
35%
40%
35%
36-45 years
7%
6%
13%
9%
8%
14%
13%
10%
Age Group
Above 45 years
3%
4%
7%
6%
8%
9%
3%
6%
100%
100%
100%
100%
100%
100%
100%
100%
SEC A
23%
19%
27%
34%
33%
41%
33%
29%
SEC B
24%
28%
31%
33%
22%
27%
28%
28%
SEC C
14%
11%
18%
18%
18%
16%
19%
16%
SEC D
9%
19%
10%
8%
9%
6%
14%
11%
SEC E
15%
9%
4%
1%
7%
2%
0.3%
6%
Rural 1
2%
2%
1%
1%
1%
3%
0.3%
1%
Rural 2
2%
3%
2%
2%
2%
2%
2%
2%
Rural 3
5%
3%
4%
3%
4%
3%
0.0%
3%
Rural 4&5
7%
8%
4%
2%
3%
1%
4%
4%
100%
100%
100%
100%
100%
100%
100%
100%
North
17%
19%
20%
25%
17%
20%
27%
20%
East
14%
8%
15%
20%
18%
11%
15%
15%
South
37%
34%
35%
27%
33%
32%
34%
33%
West
32%
38%
30%
29%
33%
37%
24%
32%
100%
100%
100%
100%
100%
100%
100%
100%
Home
67%
63%
67%
71%
70%
76%
63%
68%
Place of work (office / school / college)
67%
67%
61%
64%
54%
56%
72%
62%
Cyber cafe
44%
50%
48%
49%
44%
44%
57%
48%
7%
7%
10%
14%
7%
10%
10%
9%
Socio Economic Classification
Region
Place of Access
In transit (while traveling)
237
Table 80: Member of an online community Not a member of any online community
Member of an online community
All Internet Users
Male
79%
86%
82%
Female
21%
14%
18%
100%
100%
100%
13-18 years
9%
8%
9%
19-24 years
40%
48%
44%
25-35 years
35%
32%
34%
36-45 years
10%
7%
9%
Member Gender
Age Group
Above 45 years
7%
4%
5%
100%
100%
100%
SEC A
21%
26%
24%
SEC B
26%
27%
27%
SEC C
19%
19%
19%
SEC D
10%
9%
10%
SEC E
7%
7%
7%
Rural 1
5%
2%
3%
Rural 2
3%
2%
3%
Rural 3
5%
4%
4%
Rural 4&5
5%
4%
4%
100%
100%
100%
North
20%
22%
21%
East
16%
14%
15%
South
33%
33%
33%
Socio Economic Classification
Region
West
31%
31%
31%
100%
100%
100%
Home
48%
62%
55%
Place of work (office / school / college)
58%
62%
60%
Cyber cafe
46%
47%
47%
4%
8%
6%
Place of Access
In transit (while traveling)
238
Table 81: Membership by type of online community Membership
Not a member of any online community
Alumni & Schools
Arts & Entertainment
Automotive
Business / Professional community
Cities & Neighborhoods
All Internet Users
79%
80%
85%
98%
91%
96%
82%
Gender Male Female
21%
20%
16%
2%
9%
4%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
9%
10%
11%
4%
6%
8%
9%
19-24 years
40%
50%
47%
33%
25%
33%
44%
25-35 years
35%
30%
32%
38%
46%
49%
34%
36-45 years
10%
7%
7%
22%
14%
9%
9%
Age Group
Above 45 years
7%
3%
4%
2%
9%
2%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
21%
35%
26%
29%
38%
22%
24%
SEC B
26%
27%
30%
24%
30%
35%
27%
SEC C
19%
19%
24%
25%
16%
0.0%
19%
SEC D
10%
9%
6%
7%
5%
10%
10%
SEC E
7%
0.3%
3%
0.5%
0.7%
4%
7%
Rural 1
5%
2%
0.6%
8%
2%
16%
3%
Rural 2
3%
2%
3%
0.7%
2%
2%
3%
Rural 3
5%
2%
6%
2%
4%
0.0%
4%
Rural 4&5
5%
4%
2%
5%
2%
12%
4%
100%
100%
100%
100%
100%
100%
100%
North
20%
22%
12%
18%
21%
20%
21%
East
16%
19%
17%
9%
16%
6%
15%
South
33%
35%
39%
37%
31%
30%
33%
West
31%
24%
31%
36%
32%
44%
31%
100%
100%
100%
100%
100%
100%
100%
Home
48%
70%
65%
63%
74%
79%
55%
Place of work (office / school / college)
58%
67%
54%
86%
69%
76%
60%
Cyber cafe
46%
49%
49%
28%
48%
49%
47%
4%
10%
4%
22%
17%
12%
6%
Socio Economic Classification
Region
Place of Access
In transit (while traveling)
239
Table 82: Membership by type of online community Company
Computers & Internet
Countries & Regional
Cultures & Community
Family & Home
Fashion & Beauty
All Internet Users
Male
86%
91%
97%
91%
79%
53%
82%
Female
14%
9%
3%
9%
21%
48%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
1%
8%
2%
5%
13%
25%
9%
19-24 years
64%
50%
71%
53%
37%
43%
44%
25-35 years
28%
36%
21%
26%
32%
24%
34%
36-45 years
6%
5%
3%
12%
14%
2%
9%
Membership Gender
Age Group
Above 45 years
2%
1%
3%
4%
5%
5%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
21%
19%
14%
28%
29%
26%
24%
SEC B
26%
27%
16%
31%
29%
30%
27%
SEC C
20%
23%
22%
18%
20%
23%
19%
SEC D
8%
12%
2%
13%
11%
10%
10%
SEC E
Socio Economic Classification
14%
7%
37%
0.7%
0.4%
0.6%
7%
Rural 1
1%
3%
0.0%
0.7%
1%
1%
3%
Rural 2
1%
2%
2%
1%
2%
2%
3%
Rural 3
4%
4%
6%
4%
6%
8%
4%
Rural 4&5
6%
3%
2%
4%
2%
0.0%
4%
100%
100%
100%
100%
100%
100%
100%
North
17%
21%
20%
25%
29%
37%
21%
East
12%
11%
17%
14%
6%
18%
15%
South
34%
35%
15%
33%
40%
25%
33%
Region
West
37%
32%
48%
28%
26%
20%
31%
100%
100%
100%
100%
100%
100%
100%
Home
44%
65%
25%
63%
72%
41%
55%
Place of work (office / school / college)
79%
63%
47%
58%
59%
53%
60%
Cyber cafe
50%
47%
78%
50%
42%
52%
47%
8%
7%
1%
10%
4%
2%
6%
Place of Access
In transit (while traveling)
240
Table 83: Membership by type of online community Membership
Food, Drink & Wine
Games
Gay, Lesbian & Bi
Government & Politics
Health, Wellness & Fitness
Hobbies & Crafts
All Internet Users
86%
84%
100%
96%
62%
74%
82%
Gender Male Female
14%
16%
0.0%
4%
38%
26%
18%
100%
100%
100%
100%
100%
100%
100%
13-18 years
0.0%
16%
2%
7%
4%
16%
9%
19-24 years
64%
48%
32%
20%
33%
38%
44%
25-35 years
34%
29%
65%
60%
38%
38%
34%
36-45 years
1%
5%
0.4%
3%
12%
3%
9%
Age Group
Above 45 years
1%
2%
1%
10%
14%
5%
5%
100%
100%
100%
100%
100%
100%
100%
SEC A
24%
25%
14%
31%
26%
22%
24%
SEC B
9%
31%
40%
40%
35%
20%
27%
SEC C
0.0%
18%
26%
8%
14%
33%
19%
SEC D
0.0%
17%
10%
2%
7%
3%
10%
SEC E
60%
2%
4%
0.0%
10%
4%
7%
Rural 1
1%
0.8%
0.0%
5%
3%
2%
3%
Rural 2
1%
2%
7%
2%
1%
2%
3%
Rural 3
2%
1%
0.0%
0.0%
4%
5%
4%
Rural 4&5
3%
5%
0.0%
12%
0.0%
10%
4%
100%
100%
100%
100%
100%
100%
100%
33%
18%
11%
24%
23%
11%
21%
Socio Economic Classification
Region North East
3%
14%
4%
7%
9%
13%
15%
South
17%
37%
20%
32%
32%
53%
33%
West
47%
31%
66%
38%
36%
24%
31%
100%
100%
100%
100%
100%
100%
100%
Home
84%
59%
36%
59%
62%
65%
55%
Place of work (office / school / college)
48%
58%
74%
66%
61%
50%
60%
Cyber cafe
23%
46%
57%
51%
36%
42%
47%
4%
4%
2%
12%
9%
5%
6%
Place of Access
In transit (while traveling)
241
Table 84: Membership by type of online community Membership
Music
Pets & Animals
Recreation & Sports
Religion & Beliefs
Romance & Relationships
Schools & Education
Science & History
Travel
All Internet Users
89%
66%
76%
71%
94%
83%
94%
84%
82%
Gender Male Female
11%
34%
24%
29%
6%
17%
6%
16%
18%
100%
100%
100%
100%
100%
100%
100%
100%
100%
13-18 years
15%
2%
7%
6%
4%
10%
16%
0.3%
9%
19-24 years
52%
43%
61%
55%
44%
72%
45%
24%
44%
25-35 years
26%
45%
18%
24%
37%
13%
27%
51%
34%
36-45 years
4%
9%
6%
7%
9%
4%
9%
11%
9%
Age Group
Above 45 years
3%
2%
8%
8%
7%
1%
2%
14%
5%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A
26%
35%
23%
20%
23%
17%
21%
29%
24%
SEC B
27%
46%
40%
26%
28%
23%
32%
34%
27%
SEC C
15%
7%
4%
18%
19%
19%
16%
25%
19%
SEC D
14%
7%
14%
24%
11%
7%
13%
0.3%
10%
SEC E
6%
0.0%
3%
1%
10%
19%
3%
0.2%
7%
Rural 1
2%
0.0%
2%
0.5%
2%
1%
0.8%
3%
3%
Rural 2
3%
0.0%
3%
3%
2%
2%
3%
2%
3%
Rural 3
4%
5%
9%
3%
2%
5%
12%
2%
4%
Rural 4&5
4%
0.0%
5%
5%
3%
7%
0.0%
6%
4%
100%
100%
100%
100%
100%
100%
100%
100%
100%
North
28%
24%
17%
21%
23%
20%
34%
25%
21%
East
13%
14%
21%
10%
17%
9%
27%
21%
15%
South
35%
26%
34%
27%
26%
35%
22%
36%
33%
West
24%
37%
27%
42%
35%
36%
18%
19%
31%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Home
69%
55%
61%
66%
62%
46%
63%
49%
55%
Place of work (office / school / college)
53%
55%
53%
44%
64%
57%
61%
75%
60%
Cyber cafe
36%
33%
42%
38%
55%
45%
55%
39%
47%
6%
13%
3%
5%
7%
3%
6%
9%
6%
Region
Place of Access
In transit (while traveling)
242
Table 85: Usage of other language websites Usage
Use other language websites
Use only English websites
All Internet Users
Male
84%
82%
82%
Female
16%
18%
18%
100%
100%
100%
13-18 years
6%
10%
9%
19-24 years
43%
44%
44%
25-35 years
37%
32%
34%
36-45 years
9%
9%
9%
Gender
Age Group
Above 45 years
6%
5%
5%
100%
100%
100%
SEC A
20%
25%
24%
SEC B
26%
27%
27%
SEC C
18%
20%
19%
SEC D
10%
9%
10%
SEC E
Socio Economic Classification
11%
4%
7%
Rural 1
2%
4%
3%
Rural 2
3%
3%
3%
Rural 3
5%
4%
4%
Rural 4&5
5%
4%
4%
100%
100%
100%
North
17%
23%
21%
East
16%
15%
15%
South
38%
30%
33%
Region
West
29%
32%
31%
100%
100%
100%
Home
53%
56%
55%
Place of work (office / school / college)
66%
57%
60%
Cyber cafe
45%
47%
47%
5%
6%
6%
Place of Access
In transit (while traveling)
243
Table 86: Problems faced while surfing the internet Difficulty in getting connected
Website not opening/opening slowly
Cumbersome navigation in websites
Unsolicited ads/pop-ups
No response to queries on websites
Spam/Junk Mails
Mails with virus/Spyware
Don't have relevant local language content
Never faced any problem
All Internet Users
Male
80%
80%
76%
84%
82%
81%
81%
80%
84%
82%
Female
20%
20%
24%
16%
18%
19%
19%
20%
16%
18%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Problems
Gender
Age Group 13-18
9%
9%
7%
7%
8%
5%
7%
10%
10%
9%
19-24
46%
44%
47%
38%
45%
39%
42%
51%
44%
44%
25-35
32%
33%
30%
37%
34%
40%
36%
26%
30%
34%
36-45
8%
8%
8%
11%
8%
10%
9%
9%
9%
9%
Above 45
6%
5%
7%
7%
5%
6%
6%
5%
7%
5%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Socio Economic Classification SEC A
23%
23%
27%
33%
27%
29%
27%
18%
21%
24%
SEC B
26%
26%
27%
29%
27%
28%
28%
23%
27%
27%
SEC C
20%
20%
16%
17%
18%
19%
17%
14%
26%
19%
SEC D
9%
9%
8%
9%
11%
9%
8%
12%
12%
10%
SEC E
6%
8%
11%
4%
6%
6%
9%
15%
3%
7%
Rural 1
4%
3%
2%
2%
2%
1%
2%
6%
1%
3%
Rural 2
3%
3%
2%
2%
2%
2%
2%
3%
2%
3%
Rural 3
5%
4%
3%
3%
4%
3%
4%
5%
4%
4%
Rural 4&5
5%
5%
3%
3%
3%
3%
3%
5%
4%
4%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
North
18%
20%
19%
21%
20%
21%
19%
17%
21%
21%
East
13%
16%
19%
15%
13%
16%
17%
20%
16%
15%
South
38%
33%
30%
32%
32%
32%
33%
31%
33%
33%
West
32%
31%
32%
32%
35%
31%
31%
32%
31%
31%
100%
100%
100%
100%
100%
100%
100%
100%
100%
100%
Region
244
Difficulty in getting connected
Website not opening/opening slowly
Cumbersome navigation in websites
Unsolicited ads/pop-ups
No response to queries on websites
Spam/Junk Mails
Mails with virus/Spyware
Don't have relevant local language content
Never faced any problem
All Internet Users
Home
54%
55%
62%
68%
62%
63%
61%
48%
47%
55%
Place of work (office / school / college)
59%
60%
67%
64%
62%
68%
64%
60%
55%
60%
Cyber cafe
50%
50%
57%
51%
50%
51%
51%
61%
35%
47%
In transit (while traveling)
6%
6%
12%
9%
9%
8%
7%
7%
4%
6%
Problems
Place of Access
245
Table 87: Preferred website for emailing Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Yahoo
49%
Gmail
32%
Rediff
13%
Female
Yahoo
58%
Gmail
26%
Rediff
10%
13-18 years
Yahoo
50%
Gmail
33%
Rediff
14%
19-24 years
Yahoo
55%
Gmail
32%
Rediff
9%
25-35 years
Yahoo
46%
Gmail
32%
Rediff
15%
36-45 years
Yahoo
50%
Gmail
24%
Rediff
17%
Above 45 years
Yahoo
52%
Gmail
24%
Rediff
12%
SEC A
Yahoo
45%
Gmail
35%
Rediff
12%
SEC B
Yahoo
48%
Gmail
34%
Rediff
12%
SEC C
Yahoo
52%
Gmail
29%
Rediff
14%
SEC D
Yahoo
54%
Gmail
29%
Rediff
13%
SEC E
Yahoo
79%
Gmail
11%
Rediff
9%
Rural 1
Yahoo
51%
Gmail
28%
Rediff
18%
Rural 2
Yahoo
53%
Gmail
30%
Rediff
14%
Rural 3
Yahoo
46%
Gmail
37%
Rediff
12%
Rural 4&5
Yahoo
50%
Gmail
36%
Rediff
10%
North
Yahoo
49%
Gmail
29%
Rediff
14%
East
Yahoo
52%
Gmail
27%
Rediff
14%
South
Yahoo
51%
Gmail
37%
Rediff
8%
West
Yahoo
51%
Gmail
28%
Rediff
15%
Home
Yahoo
48%
Gmail
35%
Rediff
11%
Place of work (office / school / college)
Yahoo
48%
Gmail
34%
Rediff
12%
Cyber cafe
Yahoo
52%
Gmail
31%
Rediff
12%
In transit (while traveling)
Gmail
46%
Yahoo
37%
Rediff
8%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
246
Table 88: Top of mind unaided recall - all websites Website
Google
Yahoo
Rediff
Gmail
Orkut
All Internet Users
Male
83%
77%
85%
84%
87%
82%
Female
17%
23%
15%
16%
13%
18%
100%
100%
100%
100%
100%
100%
13-18 years
7%
8%
4%
5%
19%
8%
19-24 years
50%
42%
30%
46%
66%
45%
25-35 years
32%
34%
43%
40%
15%
34%
36-45 years
7%
10%
18%
7%
0.9%
9%
Gender
Age Group
Above 45 years
4%
6%
6%
2%
0.1%
5%
100%
100%
100%
100%
100%
100%
SEC A
25%
20%
25%
27%
21%
24%
SEC B
29%
24%
26%
32%
26%
27%
SEC C
20%
17%
17%
11%
29%
19%
SEC D
10%
8%
9%
10%
8%
10%
SEC E
3%
13%
8%
1%
8%
7%
Rural 1
2%
6%
4%
3%
2%
4%
Rural 2
2%
3%
2%
3%
2%
3%
Rural 3
4%
4%
5%
6%
3%
4%
Rural 4&5
4%
5%
4%
6%
1%
4%
100%
100%
100%
100%
100%
100%
North
20%
20%
20%
25%
27%
21%
East
13%
19%
17%
11%
13%
15%
South
37%
32%
24%
40%
22%
33%
Socio Economic Classification
Region
West
31%
29%
40%
24%
38%
31%
100%
100%
100%
100%
100%
100%
Home
62%
46%
48%
54%
69%
55%
Place of work (office / school / college)
61%
60%
60%
65%
50%
60%
Cyber cafe
49%
48%
45%
47%
57%
48%
7%
3%
4%
8%
5%
6%
Place of Access
In transit (while traveling)
247
Table 89: Most used website - all websites Website
Google
Yahoo
Gmail
Rediff
Orkut
All Internet Users
Male
81%
77%
81%
86%
92%
82%
Female
19%
23%
19%
14%
8%
18%
100%
100%
100%
100%
100%
100%
13-18 years
7%
8%
6%
4%
19%
9%
19-24 years
47%
43%
50%
31%
67%
44%
25-35 years
35%
33%
35%
44%
13%
34%
36-45 years
7%
10%
6%
15%
0.4%
9%
Gender
Age Group
Above 45 years
4%
7%
3%
6%
0.2%
5%
100%
100%
100%
100%
100%
100%
SEC A
25%
20%
29%
23%
20%
24%
SEC B
29%
24%
28%
27%
27%
27%
SEC C
20%
16%
18%
18%
28%
19%
SEC D
10%
10%
10%
11%
7%
10%
SEC E
3%
13%
0.9%
7%
7%
7%
Rural 1
3%
5%
2%
4%
2%
3%
Rural 2
2%
3%
2%
2%
2%
3%
Rural 3
4%
5%
4%
5%
5%
4%
Rural 4&5
5%
5%
6%
3%
3%
4%
100%
100%
100%
100%
100%
100%
North
19%
20%
21%
22%
26%
21%
East
13%
17%
11%
20%
16%
15%
South
36%
34%
42%
21%
28%
33%
Socio Economic Classification
Region
West
33%
29%
26%
37%
30%
31%
100%
100%
100%
100%
100%
100%
Home
62%
46%
60%
44%
71%
55%
Place of work (office / school / college)
61%
62%
67%
62%
39%
60%
Cyber cafe
50%
50%
45%
43%
43%
47%
8%
4%
7%
3%
4%
6%
Place of Access
In transit (while traveling)
248
Table 90: Preferred info search engine - English Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
80%
Yahoo
8%
Wikipedia
3%
Female
Google
83%
Yahoo
5%
English
3%
-
-
-
-
-
-
13-18 years
Google
75%
Wikipedia
11%
Yahoo
7%
19-24 years
Google
79%
Yahoo
8%
English
3%
25-35 years
Google
83%
Yahoo
6%
English
2%
36-45 years
Google
82%
Yahoo
10%
English
2%
Above 45 years
Google
81%
Yahoo
9%
Wikipedia
2%
SEC A
Google
84%
Yahoo
6%
Wikipedia
3%
SEC B
Google
79%
Yahoo
8%
English
3%
SEC C
Google
82%
Yahoo
7%
English
3%
SEC D
Google
78%
Yahoo
12%
English
2%
SEC E
Google
83%
Yahoo
7%
Wikipedia
6%
Rural 1
Google
81%
Yahoo
5%
Wikipedia
3%
Rural 2
Google
72%
Yahoo
10%
English
7%
Rural 3
Google
73%
Yahoo
9%
English
5%
Rural 4&5
Google
75%
Yahoo
7%
English
6%
North
Google
81%
Yahoo
7%
English
3%
East
Google
84%
Yahoo
6%
Wikipedia
2%
South
Google
78%
Yahoo
8%
English
4%
West
Google
81%
Yahoo
8%
Wikipedia
2%
Home
Google
84%
Yahoo
6%
Wikipedia
3%
Place of work (office / school / college)
Google
81%
Yahoo
7%
English
3%
Cyber cafe
Google
82%
Yahoo
6%
Wikipedia
3%
In transit (while traveling)
Google
85%
Yahoo
5%
Wikipedia
3%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
249
Table 91: Preferred info search engine - local language Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
63%
Yahoo
13%
Rediff
4%
Female
Google
72%
Yahoo
10%
Rediff
2%
13-18 years
Google
56%
Yahoo
12%
Rediff
9%
19-24 years
Google
71%
Yahoo
11%
Rediff
3%
25-35 years
Google
63%
Yahoo
14%
Rediff
4%
36-45 years
Google
57%
Yahoo
18%
Rediff
4%
Above 45 years
Google
45%
Yahoo
13%
Rediff
4%
SEC A
Google
69%
Yahoo
10%
Rediff
2%
SEC B
Google
66%
Yahoo
10%
Rediff
4%
SEC C
Google
66%
Yahoo
11%
Rediff
2%
SEC D
Google
57%
Yahoo
15%
Rediff
5%
SEC E
Google
61%
Yahoo
26%
Rediff
10%
Rural 1
Google
65%
Yahoo
7%
Rediff
5%
Rural 2
Google
61%
Yahoo
12%
Guruji
3%
Rural 3
Google
63%
Yahoo
12%
Rediff
4%
Rural 4&5
Google
58%
Yahoo
9%
Rediff
4%
North
Google
69%
Yahoo
11%
Rediff
3%
East
Google
62%
Yahoo
19%
Rediff
4%
South
Google
61%
Yahoo
12%
Teluguone
4%
West
Google
67%
Yahoo
10%
Rediff
7%
Home
Google
69%
Yahoo
11%
Rediff
3%
Place of work (office / school / college)
Google
65%
Yahoo
13%
Rediff
3%
Cyber cafe
Google
66%
Yahoo
14%
Rediff
5%
In transit (while traveling)
Google
70%
Yahoo
7%
Guruji
6%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
250
Table 92: Preferred website for job search Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Naukri
42%
Monster
26%
Timesjobs
16%
Female
Naukri
43%
Monster
22%
Timesjobs
14%
13-18 years
Naukri
36%
Monster
26%
Google
12%
19-24 years
Naukri
34%
Monster
27%
Timesjobs
19%
25-35 years
Naukri
51%
Monster
23%
Timesjobs
13%
36-45 years
Naukri
48%
Monster
23%
Timesjobs
11%
Above 45 years
Naukri
46%
Monster
18%
Timesjobs
17%
SEC A
Naukri
48%
Monster
26%
Timesjobs
13%
SEC B
Naukri
45%
Monster
27%
Timesjobs
16%
SEC C
Naukri
40%
Monster
27%
Timesjobs
14%
SEC D
Naukri
43%
Timesjobs
22%
Monster
21%
SEC E
Yahoo
26%
Monster
26%
Naukri
18%
Rural 1
Naukri
48%
Timesjobs
14%
Monster
14%
Rural 2
Naukri
38%
Monster
24%
Timesjobs
13%
Rural 3
Naukri
32%
Monster
21%
Timesjobs
19%
Rural 4&5
Naukri
41%
Timesjobs
18%
Monster
17%
North
Naukri
49%
Monster
25%
Timesjobs
12%
East
Naukri
41%
Monster
27%
Timesjobs
12%
South
Naukri
39%
Monster
23%
Timesjobs
16%
West
Naukri
41%
Monster
26%
Timesjobs
19%
Home
Naukri
42%
Monster
29%
Timesjobs
14%
Place of work (office / school / college)
Naukri
43%
Monster
25%
Timesjobs
16%
Cyber cafe
Naukri
40%
Monster
27%
Timesjobs
14%
In transit (while traveling)
Naukri
51%
Monster
30%
Timesjobs
10%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
251
Table 93: Preferred website for search/buy travel products Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
22%
Yatra
Female
Google
25%
Yatra
14%
Yahoo
10%
14%
Makemytrip
13%
13-18 years
Google
22%
19-24 years
Google
30%
Yatra
9%
Yahoo
7%
Yatra
16%
Yahoo
14%
25-35 years
Google
36-45 years
Makemytrip
20%
Yatra
14%
Makemytrip
12%
20%
IRCTC
14%
Yatra
12%
IRCTC
18%
Yatra
16%
Makemytrip
15%
SEC A
Google
16%
Yatra
16%
Makemytrip
15%
SEC B
Google
21%
Yatra
17%
Makemytrip
11%
SEC C
Google
31%
IRCTC
10%
Yahoo
10%
SEC D
Google
25%
Yahoo
16%
Yatra
11%
Gender
Age Group
Above 45 years Socio Economic Classification
SEC E
Yatra
24%
Yahoo
14%
Google
8%
Rural 1
Google
30%
Yahoo
14%
IRCTC
12%
Rural 2
Google
30%
Yahoo
13%
IRCTC
9%
Rural 3
Google
36%
Yahoo
20%
IRCTC
7%
Rural 4&5
Google
41%
Yahoo
14%
Yatra
4%
Google
21%
Yatra
17%
Makemytrip
12%
Region North East
Yatra
20%
Google
16%
IRCTC
13%
South
Google
28%
Yahoo
11%
IRCTC
9%
West
Google
20%
Yatra
16%
Yahoo
11%
Home
Google
20%
Yatra
17%
Makemytrip
13%
Place of work (office / school / college)
Google
21%
Yatra
14%
Makemytrip
11%
Cyber cafe
Google
22%
Yatra
14%
Yahoo
11%
Yatra
23%
Makemytrip
18%
Google
15%
Place of Access
In transit (while traveling)
252
Table 94: Preferred website for net telephony Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Yahoo Gtalk
25%
Gtalk
23%
Skype
11%
27%
Yahoo
27%
Skype
13%
13-18 years 19-24 years
Gtalk
24%
Yahoo
18%
Rediff
14%
Gtalk
28%
Yahoo
24%
BSNL
12%
25-35 years
Yahoo
26%
Gtalk
20%
Skype
17%
36-45 years
Yahoo
33%
Gtalk
21%
Skype
15%
Above 45 years
Yahoo
31%
Gtalk
19%
Skype
19%
SEC A
Yahoo
27%
Gtalk
23%
Skype
18%
SEC B
Yahoo
26%
Gtalk
22%
Skype
13%
SEC C
Gtalk
30%
Yahoo
19%
Skype
10%
SEC D
Yahoo
25%
Gtalk
18%
BSNL
11%
SEC E
Gender Male Female Age Group
Socio Economic Classification
Yahoo
54%
Rediff
21%
BSNL
14%
Rural 1
Gtalk
35%
Yahoo
18%
Rediff
10%
Rural 2
Yahoo
26%
Gtalk
24%
Skype
13%
Rural 3
Gtalk
31%
Yahoo
18%
Skype
13%
Rural 4&5
Gtalk
43%
Yahoo
14%
BSNL
9%
Gtalk
26%
Yahoo
24%
Skype
15%
Region North East
Yahoo
38%
Gtalk
22%
Skype
8%
South
Gtalk
29%
Yahoo
22%
Skype
11%
West
Yahoo
25%
Gtalk
17%
BSNL
12%
Home
Yahoo
27%
Gtalk
22%
Skype
16%
Place of work (office / school / college)
Yahoo
26%
Gtalk
23%
Skype
13%
Cyber cafe
Yahoo
28%
Gtalk
23%
Skype
10%
In transit (while traveling)
Skype
31%
Yahoo
28%
Gtalk
15%
Place of Access
253
Table 95: Preferred website for real estate Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
Female
Google
23%
99acres
15%
Yahoo
14%
21%
Magicbricks
17%
Yahoo
13%
13-18 years 19-24 years
Google
27%
Realestates
22%
99acres
16%
Google
32%
Yahoo
15%
Realestates
14%
25-35 years
99acres
17%
Google
17%
Magicbricks
16%
36-45 years
Magicbricks
22%
99acres
16%
Yahoo
15%
99acres
20%
Magicbricks
19%
Yahoo
12%
SEC A
Magicbricks
21%
99acres
18%
Google
18%
SEC B
Google
21%
99acres
17%
Magicbricks
15%
SEC C
Google
26%
Realestates
18%
99acres
13%
SEC D
Google
28%
Yahoo
18%
Realestates
14%
Gender
Age Group
Above 45 years Socio Economic Classification
SEC E
Yahoo
49%
Realestates
15%
Google
8%
Rural 1
Google
33%
99acres
12%
Magicbricks
11%
Rural 2
Google
31%
Yahoo
15%
Realestates
14%
Rural 3
Google
34%
Realestates
18%
Yahoo
14%
Rural 4&5
Google
37%
Yahoo
19%
Realestates
13%
Google
24%
Magicbricks
15%
99acres
14%
Region North East
Yahoo
24%
99acres
17%
Google
15%
South
Google
26%
99acres
15%
Realestates
14%
West
Google
21%
Magicbricks
16%
99acres
13%
Home
Google
20%
99acres
17%
Magicbricks
16%
Place of work (office / school / college)
Google
21%
99acres
15%
Yahoo
14%
Cyber cafe
Google
20%
Yahoo
16%
99acres
15%
Magicbricks
27%
99acres
26%
Google
15%
Place of Access
In transit (while traveling)
254
Table 96: Preferred website for financial news/info Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Moneycontrol/CNBC
18%
Google
Yahoo
27%
Google
15%
Yahoo
10%
14%
Moneycontrol/CNBC
13%
13-18 years
Google
26%
Rediff
19-24 years
Google
21%
Yahoo
14%
Yahoo
11%
19%
Moneycontrol/CNBC
12%
25-35 years
Moneycontrol/CNBC
23%
36-45 years
Moneycontrol/CNBC
22%
Google
11%
Yahoo
8%
ICICIDirect
9%
Yahoo
8%
Above 45 years
Moneycontrol/CNBC
26%
Yahoo
10%
ICICIDirect
10%
SEC A
Moneycontrol/CNBC
27%
Google
10%
ICICIDirect
8%
SEC B
Moneycontrol/CNBC
SEC C
Google
21%
Google
13%
Yahoo
10%
22%
Moneycontrol/CNBC
15%
Yahoo
12%
SEC D
Google
15%
Rediff
11%
Moneycontrol/CNBC
11%
Gender Male Female Age Group
Socio Economic Classification
SEC E
Yahoo
40%
Rediff
9%
Google
4%
Rural 1
Google
25%
Rediff
14%
Moneycontrol/CNBC
11%
Rural 2
Google
21%
Yahoo
15%
Moneycontrol/CNBC
11%
Rural 3
Google
26%
Yahoo
14%
Moneycontrol/CNBC
11%
Rural 4&5
Google
36%
Yahoo
14%
Rediff
6%
Moneycontrol/CNBC
22%
Google
17%
Yahoo
10%
Region North East
Yahoo
24%
Moneycontrol/CNBC
15%
Google
7%
Google
23%
Yahoo
13%
Moneycontrol/CNBC
11%
Moneycontrol/CNBC
21%
Google
10%
Rediff
10%
Home
Moneycontrol/CNBC
22%
Google
12%
ICICIDirect
8%
Place of work (office / school / college)
Moneycontrol/CNBC
19%
Google
13%
Yahoo
13%
Cyber cafe
Moneycontrol/CNBC
16%
Yahoo
15%
Google
14%
In transit (while traveling)
Moneycontrol/CNBC
35%
ICICIDirect
12%
Google
5%
South West Place of Access
255
Table 97: Preferred website for checking news Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Yahoo
14%
Google
Female
Yahoo
27%
NDTV
11%
Rediff
10%
11%
Google
9%
13-18 years
Google
20%
Yahoo
19-24 years
Yahoo
19%
Google
19%
NDTV
5%
13%
Rediff
8%
25-35 years
Yahoo
12%
Rediff
36-45 years
Yahoo
15%
NDTV
12%
NDTV
11%
13%
Rediff
10%
Above 45 years
NDTV
15%
Yahoo
15%
Indiatimes
13%
SEC A
Yahoo
14%
NDTV
12%
Rediff
12%
SEC B
Yahoo
SEC C
Yahoo
15%
NDTV
10%
Indiatimes
9%
14%
Google
13%
NDTV
9%
SEC D
Google
14%
NDTV
12%
Yahoo
11%
SEC E
Yahoo
42%
Rediff
10%
Google
6%
Rural 1
Yahoo
15%
Google
13%
Indiatimes
9%
Rural 2
Yahoo
17%
Google
13%
Rediff
8%
Rural 3
Google
15%
Yahoo
11%
Indiatimes
6%
Yahoo
17%
Google
13%
Indiatimes
6%
North
Yahoo
17%
Google
12%
Indiatimes
12%
East
Yahoo
28%
NDTV
11%
Rediff
11%
South
Yahoo
13%
NDTV
11%
Google
11%
West
Rediff
14%
Yahoo
12%
Google
10%
Home
Yahoo
15%
NDTV
11%
Google
10%
Place of work (office / school / college)
Yahoo
15%
NDTV
10%
Rediff
9%
Cyber cafe
Yahoo
20%
Google
11%
Rediff
10%
In transit (while traveling)
NDTV
17%
Rediff
10%
Indiatimes
10%
Gender
Age Group
Socio Economic Classification
Rural 4&5 Region
Place of Access
256
Table 98: Preferred website for buying travel products Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Yatra
18%
Makemytrip
Makemytrip
21%
Yatra
15%
IRCTC
14%
17%
Google
12%
Gender Male Female Age Group 13-18 years
Yatra
7%
Yahoo
2%
Makemytrip
0.5%
19-24 years
Yatra
23%
IRCTC
13%
Google
12%
25-35 years
Yatra
17%
Makemytrip
16%
Google
14%
36-45 years
Makemytrip
29%
IRCTC
16%
Yatra
15%
IRCTC
18%
Yatra
15%
Makemytrip
14%
Makemytrip
20%
Yatra
19%
IRCTC
13%
SEC B
Yatra
25%
Makemytrip
14%
IRCTC
14%
SEC C
Google
26%
IRCTC
19%
Yatra
13%
SEC D
Google
15%
Makemytrip
10%
IRCTC
9%
SEC E
IRCTC
21%
Yahoo
5%
Google
3%
Rural 1
Yahoo
24%
IRCTC
17%
Yatra
9%
Rural 2
Makemytrip
20%
IRCTC
19%
Yatra
10%
Rural 3
Makemytrip
16%
Yahoo
15%
Google
0.0%
Google
15%
Yatra
8%
Makemytrip
7%
Yatra
23%
Makemytrip
18%
IRCTC
11%
Above 45 years Socio Economic Classification SEC A
Rural 4&5 Region North East South West
Yatra
31%
IRCTC
16%
Makemytrip
15%
Makemytrip
15%
IRCTC
14%
Yatra
13%
Google
18%
Makemytrip
15%
IRCTC
13%
Yatra
20%
Makemytrip
18%
IRCTC
13%
Place of Access Home Place of work (office / school / college)
Makemytrip
17%
Yatra
17%
IRCTC
13%
Cyber cafe
Yatra
18%
Makemytrip
17%
IRCTC
14%
In transit (while traveling)
Yatra
25%
Makemytrip
20%
IRCTC
11%
257
Table 99: Preferred website for buying non-travel products online Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Ebay
Female
Ebay
53%
Rediff
13%
Google
11%
46%
Google
16%
Rediff
13%
13-18 years 19-24 years
Ebay
73%
Google
6%
Rediff
5%
Ebay
54%
Rediff
14%
Google
11%
25-35 years
Ebay
50%
Google
17%
Rediff
13%
36-45 years
Ebay
49%
Rediff
14%
Indiatimes
13%
Above 45 years
Ebay
50%
Rediff
18%
Indiatimes
8%
SEC A
Ebay
49%
Rediff
14%
Google
11%
SEC B
Ebay
56%
Rediff
13%
Google
8%
SEC C
Ebay
46%
Google
19%
Rediff
13%
SEC D
Ebay
52%
Rediff
17%
Google
13%
SEC E
Ebay
88%
Google
3%
Yahoo
3%
Rural 1
Ebay
69%
Rediff
20%
Google
10%
Rural 2
Ebay
45%
Google
18%
Rediff
12%
Rural 3
Ebay
62%
Rediff
19%
Google
6%
Google
51%
Ebay
40%
Rediff
0.0%
North
Ebay
58%
Rediff
11%
Google
8%
East
Ebay
56%
Rediff
14%
Yahoo
5%
South
Ebay
53%
Rediff
13%
Google
11%
West
Ebay
45%
Google
19%
Rediff
15%
Home
Ebay
51%
Google
13%
Rediff
11%
Place of work (office / school / college)
Ebay
51%
Rediff
13%
Google
12%
Cyber cafe
Ebay
53%
Rediff
13%
Google
9%
In transit (while traveling)
Ebay
50%
Indiatimes
12%
Google
11%
Gender
Age Group
Socio Economic Classification
Rural 4&5 Region
Place of Access
258
Table 100: Preferred website for trading shares/stocks online Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
ICICI Direct
23%
Sherkhan
14%
Reliancemoney
7%
Female
ICICI Direct
26%
Sherkhan
13%
Reliancemoney
9%
Gender
Age Group 13-18 years
Reliancemoney
9%
ICICI Direct
6%
hdfcsec
5%
19-24 years
ICICI Direct
23%
Sherkhan
10%
Reliancemoney
7%
25-35 years
ICICI Direct
24%
Sherkhan
19%
Reliancemoney
11%
36-45 years
ICICI Direct
20%
Sherkhan
14%
hdfcsec
5%
Above 45 years
ICICI Direct
34%
Sherkhan
16%
hdfcsec
9%
SEC A
ICICI Direct
24%
Sherkhan
15%
Reliancemoney
9%
SEC B
ICICI Direct
23%
Sherkhan
13%
Reliancemoney
8%
SEC C
ICICI Direct
38%
Sherkhan
19%
Reliancemoney
7%
SEC D
Sherkhan
16%
ICICI Direct
12%
Indiabulls
5%
Socio Economic Classification
SEC E
hdfcsec
4%
Indiabulls
2%
ICICI Direct
0.0%
ICICI Direct
30%
Sherkhan
29%
Indiabulls
10%
Rural 2
ICICI Direct
25%
Reliancemoney
10%
Sherkhan
6%
Rural 3
Reliancemoney
23%
Sherkhan
12%
ICICI Direct
11%
Rural 4&5
Reliancemoney
31%
ICICI Direct
29%
Sherkhan
0.0%
North
ICICI Direct
25%
Indiabulls
11%
Sherkhan
11%
East
ICICI Direct
28%
Sherkhan
16%
Reliancemoney
12%
South
ICICI Direct
23%
Sherkhan
13%
Reliancemoney
10%
West
ICICI Direct
20%
Sherkhan
16%
Reliancemoney
5%
Home
ICICI Direct
25%
Sherkhan
13%
Reliancemoney
7%
Place of work (office / school / college)
ICICI Direct
20%
Sherkhan
13%
Reliancemoney
9%
Cyber cafe
ICICI Direct
20%
Sherkhan
13%
Reliancemoney
8%
In transit (while traveling)
ICICI Direct
32%
Sherkhan
14%
Indiabulls
7%
Rural 1
Region
Place of Access
259
Table 101: Preferred website to search/trade shares/stocks online Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
ICICI Direct Google
14%
Google
13%
Sherkhan
12%
20%
ICICI Direct
13%
Sherkhan
11%
13-18 years 19-24 years
Google
26%
Yahoo
12%
Moneycontrol
4%
Google
20%
Yahoo
13%
Sherkhan
11%
25-35 years
ICICI Direct
18%
Sherkhan
15%
Google
9%
36-45 years
ICICI Direct
19%
Sherkhan
13%
Yahoo
8%
Above 45 years
ICICI Direct
29%
Sherkhan
14%
Yahoo
8%
SEC A
ICICI Direct
20%
Sherkhan
15%
Google
10%
SEC B
ICICI Direct
15%
Sherkhan
14%
Google
13%
SEC C
Google
20%
Yahoo
12%
Sherkhan
11%
SEC D
Yahoo
15%
ICICI Direct
15%
Google
12%
Gender Male Female Age Group
Socio Economic Classification
SEC E
Yahoo
16%
Google
7%
ICICI Direct
1%
Rural 1
Sherkhan
24%
Google
17%
ICICI Direct
10%
Rural 2
Google
20%
Yahoo
15%
ICICI Direct
13%
Rural 3
Google
20%
Sherkhan
12%
Yahoo
11%
Rural 4&5
Google
31%
Yahoo
17%
Sherkhan
8%
North
ICICI Direct
16%
Google
15%
Sherkhan
11%
East
ICICI Direct
16%
Sherkhan
11%
Yahoo
8%
Google
22%
Yahoo
11%
Sherkhan
10%
ICICI Direct
16%
Sherkhan
15%
Yahoo
10%
Home
ICICI Direct
17%
Sherkhan
14%
Google
12%
Place of work (office / school / college)
ICICI Direct
14%
Google
13%
Sherkhan
13%
Google
15%
ICICI Direct
14%
Sherkhan
13%
ICICI Direct
26%
Sherkhan
16%
Google
6%
Region
South West Place of Access
Cyber cafe In transit (while traveling)
260
Table 102: Preferred website for matrimony Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Bharatmatrimony
36%
Shaadi
34%
Jeevansaathi
8%
Female
Bharatmatrimony
36%
Shaadi
35%
Jeevansaathi
10%
13-18 years
Shaadi
33%
Bharatmatrimony
24%
Jeevansaathi
3%
19-24 years
Bharatmatrimony
35%
Shaadi
31%
Jeevansaathi
8%
25-35 years
Shaadi
38%
Bharatmatrimony
36%
Jeevansaathi
10%
36-45 years
Bharatmatrimony
40%
Shaadi
35%
Jeevansaathi
6%
Above 45 years
Bharatmatrimony
39%
Shaadi
33%
Jeevansaathi
6%
SEC A
Shaadi
38%
Bharatmatrimony
36%
Jeevansaathi
9%
SEC B
Shaadi
37%
Bharatmatrimony
36%
Jeevansaathi
8%
SEC C
Shaadi
35%
Bharatmatrimony
35%
Jeevansaathi
8%
SEC D
Shaadi
34%
Bharatmatrimony
34%
Jeevansaathi
7%
SEC E
Bharatmatrimony
35%
Shaadi
16%
Jeevansaathi
9%
Rural 1
Bharatmatrimony
36%
Shaadi
27%
Jeevansaathi
10%
Rural 2
Bharatmatrimony
36%
Shaadi
27%
Jeevansaathi
9%
Rural 3
Bharatmatrimony
41%
Shaadi
29%
Jeevansaathi
5%
Rural 4&5
Bharatmatrimony
35%
Shaadi
20%
Jeevansaathi
5%
Shaadi
44%
Bharatmatrimony
23%
Jeevansaathi
11%
East
Bharatmatrimony
46%
Shaadi
28%
Jeevansaathi
7%
South
Bharatmatrimony
49%
Shaadi
24%
Jeevansaathi
4%
Shaadi
41%
Bharatmatrimony
25%
Jeevansaathi
11%
Bharatmatrimony
37%
Shaadi
35%
Jeevansaathi
9%
Gender
Age Group
Socio Economic Classification
Region North
West Place of Access Home Place of work (office / school / college) Cyber cafe In transit (while traveling)
Shaadi
36%
Bharatmatrimony
34%
Jeevansaathi
8%
Bharatmatrimony
38%
Shaadi
33%
Jeevansaathi
9%
Shaadi
37%
Bharatmatrimony
33%
Jeevansaathi
11%
261
Table 103: Preferred website for friendship/dating Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Orkut
55%
Yahoo
18%
Rediff
4%
Female
Orkut
44%
Yahoo
32%
Rediff
3%
13-18 years
Orkut
65%
Yahoo
15%
Rediff
5%
19-24 years
Orkut
60%
Yahoo
20%
Rediff
2%
25-35 years
Orkut
50%
Yahoo
21%
Rediff
5%
36-45 years
Yahoo
26%
Orkut
25%
Rediff
8%
Above 45 years
Yahoo
28%
Orkut
25%
Rediff
13%
SEC A
Orkut
57%
Yahoo
15%
Fropper
4%
SEC B
Orkut
57%
Yahoo
15%
Rediff
5%
SEC C
Orkut
53%
Yahoo
18%
Rediff
5%
SEC D
Orkut
49%
Yahoo
25%
Rediff
3%
SEC E
Yahoo
49%
Orkut
42%
Rediff
0.7%
Rural 1
Orkut
54%
Yahoo
23%
Rediff
5%
Rural 2
Orkut
51%
Yahoo
21%
Fropper
4%
Rural 3
Orkut
54%
Yahoo
24%
Rediff
5%
Rural 4&5
Orkut
54%
Yahoo
18%
Rediff
5%
North
Orkut
56%
Yahoo
19%
Rediff
4%
East
Orkut
48%
Yahoo
28%
Fropper
4%
South
Orkut
52%
Yahoo
20%
Rediff
3%
West
Orkut
57%
Yahoo
17%
Rediff
5%
Home
Orkut
58%
Yahoo
18%
Rediff
3%
Place of work (office / school / college)
Orkut
51%
Yahoo
22%
Rediff
4%
Cyber cafe
Orkut
55%
Yahoo
23%
Rediff
3%
In transit (while traveling)
Orkut
59%
Yahoo
14%
Fropper
3%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
262
Table 104: Preferred website for social networking/communities Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Orkut
66%
Yahoo
13%
Rediff
4%
Female
Orkut
64%
Yahoo
13%
Ibibo
3%
13-18 years
Orkut
64%
Yahoo
9%
Rediff
7%
19-24 years
Orkut
74%
Yahoo
9%
Ibibo
2%
25-35 years
Orkut
63%
Yahoo
15%
Rediff
4%
36-45 years
Orkut
41%
Yahoo
23%
Ibibo
12%
Above 45 years
Orkut
38%
Yahoo
25%
Ibibo
6%
SEC A
Orkut
73%
Yahoo
10%
Facebook
3%
SEC B
Orkut
66%
Yahoo
11%
Rediff
4%
SEC C
Orkut
70%
Yahoo
12%
Ibibo
3%
SEC D
Orkut
56%
Yahoo
15%
Rediff
4%
SEC E
Yahoo
38%
Orkut
35%
Rediff
14%
Rural 1
Orkut
74%
Yahoo
15%
Rediff
5%
Rural 2
Orkut
66%
Yahoo
11%
Rediff
3%
Rural 3
Orkut
68%
Yahoo
15%
Rediff
4%
Rural 4&5
Orkut
58%
Yahoo
15%
Ibibo
3%
North
Orkut
69%
Yahoo
11%
Ibibo
3%
East
Orkut
63%
Yahoo
18%
Rediff
4%
South
Orkut
64%
Yahoo
14%
Ibibo
3%
West
Orkut
67%
Yahoo
10%
Rediff
5%
Home
Orkut
70%
Yahoo
12%
Ibibo
3%
Place of work (office / school / college)
Orkut
67%
Yahoo
13%
Rediff
3%
Cyber cafe
Orkut
66%
Yahoo
14%
Rediff
5%
In transit (while traveling)
Orkut
74%
Yahoo
9%
Facebook
5%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
263
Table 105: Preferred website for games Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Zapak
34%
Yahoo
17%
Games
9%
Female
Yahoo
30%
Zapak
24%
Games
9%
13-18 years
Zapak
48%
Yahoo
8%
Miniclip
6%
19-24 years
Zapak
30%
Yahoo
19%
Games
11%
25-35 years
Zapak
32%
Yahoo
21%
Games
8%
36-45 years
Zapak
29%
Yahoo
23%
Google
7%
Above 45 years
Yahoo
33%
Zapak
20%
Google
7%
SEC A
Zapak
39%
Yahoo
16%
Games
7%
SEC B
Zapak
36%
Yahoo
15%
Games
9%
SEC C
Zapak
34%
Yahoo
16%
Games
9%
SEC D
Zapak
28%
Yahoo
19%
Games
11%
Gender
Age Group
Socio Economic Classification
SEC E
Yahoo
52%
Zapak
18%
Miniclip
9%
Rural 1
Google
19%
Zapak
18%
Miniclip
17%
Rural 2
Yahoo
21%
Zapak
19%
Google
16%
Rural 3
Yahoo
23%
Google
21%
Zapak
17%
Google
20%
Zapak
19%
Games
13%
North
Zapak
38%
Yahoo
16%
Google
9%
East
Yahoo
36%
Zapak
30%
Games
6%
South
Zapak
25%
Yahoo
18%
Google
12%
West
Zapak
36%
Yahoo
15%
Games
8%
Home
Zapak
35%
Yahoo
17%
Games
9%
Place of work (office / school / college)
Zapak
29%
Yahoo
22%
Google
9%
Cyber cafe
Zapak
31%
Yahoo
22%
Google
9%
In transit (while traveling)
Zapak
42%
Yahoo
13%
Games
7%
Rural 4&5 Region
Place of Access
264
Table 106: Preferred website for mobile content Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Gender Male
Yahoo
12%
Nokia
11%
Google
10%
Google
16%
Yahoo
14%
Rediff
11%
13-18 years
Nokia
15%
Yahoo
12%
Google
9%
19-24 years
Google
12%
Mobile9
10%
Nokia
10%
25-35 years
Rediff
14%
Yahoo
13%
Nokia
11%
36-45 years
Yahoo
20%
Rediff
17%
Google
9%
Above 45 years
Yahoo
20%
Rediff
17%
Google
9%
SEC A
Rediff
11%
Yahoo
11%
Google
9%
SEC B
Yahoo
11%
Google
10%
Rediff
9%
SEC C
Nokia
14%
Rediff
11%
Yahoo
10%
SEC D
Mobile9
12%
Rediff
11%
Yahoo
11%
Female Age Group
Socio Economic Classification
SEC E
Yahoo
22%
Nokia
17%
Mobile9
9%
Google
24%
Yahoo
17%
Nokia
8%
Rural 2
Yahoo
14%
Google
13%
Nokia
12%
Rural 3
Google
18%
Yahoo
13%
Nokia
11%
Rural 4&5
Google
22%
Nokia
10%
Yahoo
9%
Yahoo
13%
Google
12%
Rediff
9%
Rural 1
Region North East
Nokia
13%
Rediff
12%
Yahoo
10%
South
Google
13%
Yahoo
12%
Nokia
9%
West
Yahoo
13%
Nokia
12%
Rediff
11%
Nokia
10%
Mobile9
9%
Yahoo
9%
Place of work (office / school / college)
Nokia
12%
Rediff
12%
Yahoo
11%
Cyber cafe
Yahoo
12%
Nokia
10%
Rediff
10%
In transit (while traveling)
Nokia
11%
Yahoo
8%
Rediff
8%
Place of Access Home
265
Table 107: Preferred website for instant messaging Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Yahoo
53%
Google Talk
28%
Rediffbol
10%
Female
Yahoo
51%
Google Talk
32%
Rediffbol
6%
13-18 years
Yahoo
44%
Google Talk
36%
Rediffbol
14%
19-24 years
Yahoo
49%
Google Talk
33%
Rediffbol
9%
25-35 years
Yahoo
57%
Google Talk
25%
Rediffbol
8%
36-45 years
Yahoo
61%
Google Talk
17%
Rediffbol
9%
Above 45 years
Yahoo
61%
Google Talk
18%
Rediffbol
11%
SEC A
Yahoo
56%
Google Talk
28%
Rediffbol
6%
SEC B
Yahoo
54%
Google Talk
29%
Rediffbol
9%
SEC C
Yahoo
54%
Google Talk
23%
Rediffbol
12%
SEC D
Yahoo
53%
Google Talk
28%
Rediffbol
10%
SEC E
Gender
Age Group
Socio Economic Classification
Google Talk
44%
Yahoo
41%
MSN
11%
Rural 1
Yahoo
68%
Google Talk
23%
Rediffbol
4%
Rural 2
Yahoo
53%
Google Talk
29%
Rediffbol
9%
Rural 3
Yahoo
42%
Google Talk
31%
Rediffbol
16%
Rural 4&5
Yahoo
40%
Google Talk
32%
Rediffbol
16%
North
Yahoo
55%
Google Talk
28%
Rediffbol
9%
East
Yahoo
43%
Google Talk
36%
Rediffbol
15%
South
Yahoo
55%
Google Talk
29%
Rediffbol
6%
West
Yahoo
53%
Google Talk
26%
Rediffbol
10%
Home
Yahoo
55%
Google Talk
29%
Rediffbol
8%
Place of work (office / school / college)
Yahoo
51%
Google Talk
31%
Rediffbol
7%
Cyber cafe
Yahoo
55%
Google Talk
30%
Rediffbol
8%
In transit (while traveling)
Yahoo
60%
Google Talk
25%
MSN
6%
Region
Place of Access
266
Table 108: Preferred website for music Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Gender Male
Raaga
18%
Yahoo
8%
Google
7%
Google
20%
Raaga
13%
Music
7%
13-18 years
Raaga
11%
Google
9%
Music
8%
19-24 years
Raaga
16%
Google
12%
Mp3
7%
25-35 years
Raaga
21%
Yahoo
7%
Music
6%
36-45 years
Raaga
11%
Yahoo
10%
Music
9%
Above 45 years
Yahoo
18%
Raaga
10%
Music
7%
SEC A
Raaga
19%
Mp3
8%
Yahoo
7%
SEC B
Raaga
18%
Google
7%
Yahoo
7%
SEC C
Raaga
17%
Mp3
9%
Music
8%
SEC D
Raaga
18%
Music
13%
Google
9%
SEC E
Google
29%
Raaga
9%
Yahoo
8%
Raaga
17%
Yahoo
14%
Google
10%
Rural 2
Yahoo
14%
Raaga
13%
Google
10%
Rural 3
Google
16%
Raaga
14%
Music
10%
Rural 4&5
Google
17%
Music
13%
Raaga
11%
Raaga
10%
Mp3
8%
Google
8%
Female Age Group
Socio Economic Classification
Rural 1
Region North East
Google
20%
Raaga
10%
Yahoo
6%
South
Raaga
28%
Yahoo
8%
Google
7%
West
Raaga
12%
Music
8%
Yahoo
7%
Home
Raaga
18%
Mp3
7%
Yahoo
6%
Place of work (office / school / college)
Raaga
17%
Google
11%
Yahoo
6%
Cyber cafe
Raaga
19%
Google
11%
Yahoo
7%
In transit (while traveling)
Raaga
20%
Yahoo
5%
Google
4%
Place of Access
267
Table 109: Preferred website for sports Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Cricinfo
21%
Espnstarsports
Yahoo
33%
Rediff
15%
Yahoo
14%
14%
Espnstarsports
10%
13-18 years
Yahoo
16%
19-24 years
Cricinfo
20%
Espnstarsports
15%
Google
14%
Yahoo
20%
Rediff
13%
25-35 years
Cricinfo
36-45 years
Cricinfo
21%
Espnstarsports
16%
Rediff
16%
17%
Yahoo
17%
Espnstarsports
15%
Rediff
18%
Yahoo
15%
Espnstarsports
12%
SEC A
Cricinfo
22%
Espnstarsports
16%
Rediff
15%
SEC B
Cricinfo
22%
Espnstarsports
15%
Rediff
13%
SEC C
Cricinfo
17%
Rediff
16%
Yahoo
16%
SEC D
Cricinfo
20%
Yahoo
15%
Espnstarsports
14%
Gender Male Female Age Group
Above 45 years Socio Economic Classification
SEC E
Yahoo
52%
Rediff
20%
Cricinfo
12%
Rural 1
Cricinfo
21%
Espnstarsports
20%
Yahoo
15%
Rural 2
Cricinfo
17%
Yahoo
17%
Espnstarsports
13%
Rural 3
Cricinfo
19%
Yahoo
14%
Google
13%
Yahoo
17%
Cricinfo
12%
Google
12%
Cricinfo
20%
Espnstarsports
14%
Rediff
14%
Rural 4&5 Region North East
Yahoo
28%
Espnstarsports
16%
Rediff
15%
South
Cricinfo
22%
Yahoo
16%
Espnstarsports
14%
West
Cricinfo
20%
Rediff
18%
Espnstarsports
14%
Home
Cricinfo
23%
Espnstarsports
15%
Yahoo
15%
Place of work (office / school / college)
Cricinfo
21%
Yahoo
16%
Rediff
15%
Yahoo
20%
Cricinfo
19%
Rediff
15%
Cricinfo
29%
Espnstarsports
15%
Rediff
14%
Place of Access
Cyber cafe In transit (while traveling)
268
Table 110: Preferred website for cinema Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Yahoo
11%
Female
Yahoo
28%
Google
9%
Bollywood
7%
Google
12%
Youtube
5%
Gender
Age Group 13-18 years
Yahoo
9%
Google
7%
Youtube
6%
19-24 years
Yahoo
16%
Google
11%
Bollywood
7%
25-35 years
Yahoo
10%
Google
8%
Rediff
7%
36-45 years
Yahoo
15%
Bollywood
8%
Google
7%
Above 45 years
Yahoo
21%
Rediff
10%
Google
6%
SEC A
Yahoo
10%
Google
8%
Bollywood
7%
SEC B
Yahoo
10%
Google
9%
Bollywood
9%
SEC C
Yahoo
14%
Google
8%
Youtube
6%
SEC D
Google
12%
Bollywood
8%
Yahoo
7%
SEC E
Yahoo
42%
Rediff
3%
Google
3%
Rural 1
Yahoo
15%
Google
12%
Bollywood
10%
Rural 2
Yahoo
17%
Google
12%
Youtube
9%
Rural 3
Google
18%
Yahoo
13%
Rediff
5%
Rural 4&5
Google
15%
Yahoo
11%
Youtube
11%
Yahoo
14%
Google
10%
Bollywood
8%
Socio Economic Classification
Region North East
Yahoo
25%
Bollywood
8%
Youtube
6%
South
Google
10%
Yahoo
9%
Youtube
6%
West
Yahoo
13%
Google
9%
Bollywood
7%
Home
Yahoo
10%
Google
8%
Bollywood
6%
Place of work (office / school / college)
Yahoo
14%
Google
10%
Rediff
6%
Cyber cafe
Yahoo
16%
Google
8%
Bollywood
7%
Bollywood
7%
Google
6%
Rediff
6%
Place of Access
In transit (while traveling)
269
Table 111: Preferred website for astrology Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Yahoo
23%
Astrology
17%
Google
13%
Female
Yahoo
34%
Astrology
17%
Google
11%
13-18 years
Google
23%
Yahoo
21%
Astrology
20%
19-24 years
Yahoo
31%
Astrology
17%
Google
16%
25-35 years
Yahoo
21%
Astrology
19%
Rediff
11%
36-45 years
Yahoo
19%
Indiatimes astrospeak
13%
Astrology
13%
Above 45 years
Yahoo
24%
Indiatimes astrospeak
11%
Rediff
11%
SEC A
Yahoo
21%
Astrology
14%
Google
11%
SEC B
Yahoo
25%
Astrology
16%
Google
9%
SEC C
Yahoo
27%
Google
20%
Astrology
14%
SEC D
Yahoo
24%
Astrology
21%
Google
13%
SEC E
Yahoo
41%
Astrology
26%
Rediff
10%
Rural 1
Yahoo
23%
Google
19%
Astrology
14%
Rural 2
Yahoo
25%
Astrology
22%
Google
17%
Rural 3
Google
20%
Yahoo
17%
Astrology
17%
Rural 4&5
Google
28%
Astrology
22%
Yahoo
20%
North
Yahoo
22%
Astrology
17%
Google
14%
East
Yahoo
34%
Astrology
14%
Rediff
11%
South
Yahoo
23%
Astrology
21%
Google
14%
West
Yahoo
25%
Astrology
15%
Google
14%
Home
Yahoo
22%
Astrology
18%
Google
13%
Place of work (office / school / college)
Yahoo
24%
Astrology
17%
Google
13%
Cyber cafe
Yahoo
26%
Astrology
18%
Google
12%
In transit (while traveling)
Yahoo
16%
Indiatimes astrospeak
15%
Astrology
14%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
270
Table 112: Preferred website for online learning/education Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
30%
Yahoo
Female
Google
38%
Yahoo
13%
Wikipedia
7%
23%
Education
7%
13-18 years
Google
35%
19-24 years
Google
33%
Education
10%
Wikipedia
10%
Yahoo
15%
Wikipedia
8%
25-35 years
Google
36-45 years
Google
29%
Yahoo
16%
Education
7%
29%
Yahoo
18%
Education
8%
Above 45 years
Google
35%
Yahoo
18%
Rediff
9%
SEC A
Google
34%
Wikipedia
9%
Yahoo
9%
SEC B
Google
33%
Yahoo
10%
Wikipedia
8%
SEC C
Google
36%
Yahoo
9%
Wikipedia
8%
SEC D
Google
25%
Yahoo
18%
Education
6%
Gender
Age Group
Socio Economic Classification
SEC E
Yahoo
60%
Google
12%
Education
7%
Rural 1
Google
56%
Yahoo
13%
Rediff
5%
Rural 2
Google
35%
Yahoo
17%
Education
8%
Rural 3
Google
39%
Yahoo
12%
Rediff
5%
Rural 4&5
Google
38%
Yahoo
10%
Education
10%
Google
33%
Yahoo
10%
Wikipedia
7%
Region North East
Yahoo
33%
Google
23%
Wikipedia
7%
South
Google
35%
Yahoo
12%
Wikipedia
7%
West
Google
33%
Yahoo
10%
Education
7%
Home
Google
30%
Yahoo
11%
Wikipedia
9%
Place of work (office / school / college)
Google
32%
Yahoo
17%
Education
7%
Cyber cafe
Google
31%
Yahoo
19%
Wikipedia
6%
In transit (while traveling)
Google
32%
Wikipedia
10%
Education
7%
Place of Access
271
Table 113: Preferred website for share pictures Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Orkut
37%
Yahoo
18%
Picasa
7%
Female
Orkut
44%
Yahoo
20%
Picasa
5%
13-18 years
Orkut
49%
Yahoo
17%
Ibibo
5%
19-24 years
Orkut
41%
Yahoo
15%
Ibibo
7%
25-35 years
Orkut
35%
Yahoo
21%
Picasa
9%
36-45 years
Orkut
35%
Yahoo
23%
Picasa
8%
Above 45 years
Yahoo
29%
Orkut
22%
Picasa
10%
SEC A
Orkut
35%
Yahoo
17%
Picasa
10%
SEC B
Orkut
38%
Yahoo
15%
Picasa
9%
SEC C
Orkut
39%
Yahoo
20%
Ibibo
6%
SEC D
Orkut
31%
Yahoo
18%
Ibibo
9%
SEC E
Orkut
53%
Yahoo
24%
Picasa
6%
Rural 1
Orkut
42%
Yahoo
24%
Picasa
6%
Rural 2
Orkut
43%
Yahoo
17%
Picasa
7%
Rural 3
Orkut
41%
Yahoo
22%
Picasa
4%
Rural 4&5
Orkut
43%
Yahoo
23%
Ibibo
7%
North
Orkut
43%
Yahoo
15%
Ibibo
7%
East
Orkut
44%
Yahoo
17%
Ibibo
6%
South
Orkut
38%
Yahoo
19%
Picasa
8%
West
Orkut
33%
Yahoo
20%
Picasa
8%
Home
Orkut
34%
Yahoo
18%
Picasa
10%
Place of work (office / school / college)
Orkut
40%
Yahoo
17%
Picasa
8%
Cyber cafe
Orkut
42%
Yahoo
20%
Picasa
6%
In transit (while traveling)
Orkut
32%
Yahoo
14%
Picasa
13%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
272
Table 114: Preferred website for professional networking Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Orkut
43%
Yahoo
16%
Rediff
7%
Female
Yahoo
34%
Orkut
34%
Rediff
5%
13-18 years
Orkut
39%
Rediff
17%
Yahoo
17%
19-24 years
Orkut
44%
Yahoo
22%
Rediff
5%
25-35 years
Orkut
42%
Yahoo
17%
Linkedin
9%
36-45 years
Orkut
36%
Yahoo
15%
Linkedin
13%
Above 45 years
Orkut
25%
Yahoo
20%
Rediff
11%
SEC A
Orkut
45%
Yahoo
14%
Linkedin
10%
SEC B
Orkut
42%
Yahoo
13%
Linkedin
8%
SEC C
Orkut
44%
Yahoo
18%
Rediff
6%
SEC D
Orkut
51%
Yahoo
15%
Rediff
9%
SEC E
Yahoo
53%
Orkut
24%
Rediff
9%
Rural 1
Orkut
34%
Yahoo
28%
Rediff
7%
Rural 2
Orkut
44%
Yahoo
24%
Rediff
6%
Rural 3
Orkut
43%
Yahoo
14%
Rediff
8%
Rural 4&5
Orkut
42%
Yahoo
22%
Rediff
4%
North
Orkut
41%
Yahoo
15%
Linkedin
8%
East
Yahoo
42%
Orkut
28%
Rediff
7%
South
Orkut
46%
Yahoo
16%
Linkedin
5%
West
Orkut
44%
Yahoo
14%
Rediff
8%
Home
Orkut
45%
Yahoo
15%
Linkedin
9%
Place of work (office / school / college)
Orkut
42%
Yahoo
19%
Linkedin
7%
Cyber cafe
Orkut
42%
Yahoo
22%
Rediff
7%
In transit (while traveling)
Orkut
44%
Linkedin
23%
Yahoo
4%
Gender
Age Group
Socio Economic Classification
Region
Place of Access
273
Table 115: Preferred website to buy/rent movie CD/DVD Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Rediff
12%
Ebay
9%
Movies
7%
Female
Rediff
10%
Ebay
9%
Movies
9%
13-18 years
Movies
17%
Rediff
15%
Ebay
10%
19-24 years
Ebay
9%
Rediff
8%
Movies
7%
25-35 years
Rediff
15%
Ebay
8%
Movies
7%
36-45 years
Rediff
18%
Indiatimes
7%
Ebay
7%
Above 45 years
Rediff
19%
Ebay
10%
Movies
9%
SEC A
Rediff
10%
Ebay
9%
Movies
7%
SEC B
Rediff
12%
Ebay
10%
Movies
6%
SEC C
Rediff
9%
Ebay
9%
Indiatimes
7%
SEC D
Rediff
15%
Movies
14%
Ebay
6%
SEC E
Rediff
26%
Ebay
5%
Movies
2%
Rural 1
Movies
9%
Rediff
9%
Ebay
4%
Rural 2
Ebay
7%
Rediff
7%
Movies
6%
Rural 3
Ebay
10%
Rediff
9%
Movies
9%
Rediff
11%
Ebay
7%
Movies
4%
North
Rediff
12%
Ebay
8%
Movies
6%
East
Rediff
13%
Movies
8%
Indiatimes
8%
South
Rediff
10%
Ebay
10%
Movies
9%
West
Rediff
13%
Ebay
9%
Movies
6%
Ebay
11%
Rediff
9%
Movies
8%
Place of work (office / school / college)
Rediff
13%
Ebay
10%
Movies
7%
Cyber cafe
Rediff
14%
Ebay
9%
Movies
5%
Ebay
19%
Seventymm
10%
Rediff
9%
Gender
Age Group
Socio Economic Classification
Rural 4&5 Region
Place of Access Home
In transit (while traveling)
274
Table 116: Preferred website for video sharing Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Youtube
Female
Youtube
44%
Yahoo
13%
Google Video
12%
38%
Google Video
19%
Yahoo
13%
13-18 years
Youtube
19-24 years
Youtube
43%
Orkut
22%
Yahoo
9%
46%
Google Video
12%
Orkut
12%
25-35 years
Youtube
36-45 years
Youtube
39%
Yahoo
15%
Google Video
13%
38%
Google Video
19%
Yahoo
17%
Above 45 years
Youtube
32%
Yahoo
23%
Google Video
14%
SEC A
Youtube
52%
Yahoo
11%
Orkut
10%
SEC B
Youtube
48%
Google Video
12%
Orkut
11%
SEC C
Youtube
38%
Google Video
13%
Orkut
11%
SEC D
Youtube
35%
Yahoo
18%
Google Video
12%
Gender
Age Group
Socio Economic Classification
SEC E
Yahoo
38%
Youtube
27%
Orkut
15%
Rural 1
Youtube
48%
Google Video
15%
Orkut
11%
Rural 2
Youtube
35%
Google Video
16%
Yahoo
14%
Rural 3
Youtube
36%
Google Video
22%
Yahoo
13%
Google Video
34%
Youtube
25%
Yahoo
11%
North
Youtube
42%
Orkut
15%
Google Video
12%
East
Youtube
43%
Yahoo
18%
Google Video
12%
South
Youtube
45%
Google Video
16%
Yahoo
13%
West
Youtube
41%
Yahoo
12%
Orkut
11%
Home
Youtube
51%
Yahoo
12%
Orkut
10%
Place of work (office / school / college)
Youtube
41%
Google Video
13%
Yahoo
13%
Cyber cafe
Youtube
43%
Yahoo
13%
Google Video
12%
In transit (while traveling)
Youtube
59%
Orkut
12%
Google Video
9%
Rural 4&5 Region
Place of Access
275
Table 117: Preferred website to search/buy non-travel products Activity
Rank1
Row %
Rank2
Row %
Rank3
Row %
Male
Google
34%
Ebay
Female
Google
34%
Ebay
22%
Rediff
18%
19%
Yahoo
16%
13-18 years
Google
35%
Rediff
19-24 years
Google
42%
Ebay
29%
Ebay
18%
17%
Yahoo
16%
25-35 years
Google
33%
Ebay
36-45 years
Ebay
31%
Rediff
23%
Rediff
20%
18%
Google
16%
Above 45 years
Ebay
30%
Rediff
20%
Yahoo
16%
SEC A
Ebay
28%
Google
27%
Rediff
15%
SEC B
Google
SEC C
Google
31%
Ebay
24%
Rediff
16%
39%
Rediff
23%
Ebay
15%
SEC D
Google
43%
Yahoo
17%
Ebay
17%
Gender
Age Group
Socio Economic Classification
SEC E
Rediff
32%
Yahoo
29%
Ebay
23%
Rural 1
Google
47%
Rediff
17%
Ebay
15%
Rural 2
Google
45%
Yahoo
16%
Ebay
13%
Rural 3
Google
44%
Yahoo
19%
Rediff
17%
Rural 4&5
Google
63%
Yahoo
18%
Rediff
9%
North
Google
32%
Ebay
25%
Rediff
14%
East
Google
26%
Ebay
24%
Rediff
18%
South
Google
39%
Ebay
20%
Rediff
15%
West
Google
34%
Rediff
21%
Ebay
19%
Home
Google
31%
Ebay
27%
Rediff
14%
Place of work (office / school / college)
Google
33%
Ebay
22%
Rediff
18%
Cyber cafe
Google
32%
Ebay
21%
Rediff
19%
Ebay
35%
Google
22%
Rediff
14%
Region
Place of Access
In transit (while traveling)
276
Appendix
277
Table 118: City type classification by market size
North
South
East
West
Delhi
Bangalore Chennai Coimbatore Hyderabad
Kolkata
Ahmadabad Mumbai Pune Surat
Urban Uptowns
Faridabad Jaipur Kanpur Lucknow Ludhiana Patna
Kochi Madurai
Asansol
Bhopal Thane Indore Nagpur Vadodara
Emerging Towns
Amritsar Chandigarh Dhanbad Ghaziabad
Thiruvanathapuram Tiruchirapalli Vijayavada Visakhapatanam
Guwahati
Aurangabad Goa Jabalpur Nashik Rajkot
Metros
278
Others
Agra Ajmer Alappuzha Aligarh Allahabad Anantapur Dehradun Gurgaon Jalandhar Jammu Jodhpur Kota Meerut Noida Panipat Ranchi Shimla Srinagar Varanasi Others from North India
Belgaum Chittoor Dakshina Kannada Dharmapuri East Godavari Ernakulam Erode Guntur Hubli-Dharwad Kakinada Kancheepuram Kannur Kollam Kottayam Kozhikode Krishna Kurnool Mangalore Mysore Nellore Palakkad Pondicherry Rajahmundry Rangareddi Salem Secunderabad Thiruvallur Thrissur Tiruchirapalli Tirunelveli Tirupati Trivandrum Udupi Vellore Visakhapatanam Warangal Yelahanka Others from South India
Bhubaneswar Bilaspur Cuttack Hugl Jamshedpur Raipur Others from East India
Goa Gwalior Kolhapur Mira-Bhayandar Pimpri Chinchwad Solapur Others from West India
279
Table 119: City type classification by population size North Others from North India Panipat Gurgaon Noida Ajmer Jammu Dehradun Shimla
South Others from South India Secunderabad Pondicherry Erode Kollam Thrissur Kozhikode Anantapur Mangalore Tirunelveli Vellore Kancheepuram Nellore Chittoor Belgaum Kakinada Palakkad Tirupati Rajahmundry Cuddapah Kurnool Alappuzha Udupi
East Others from East India Bilaspur
West Others from West India Goa Kolhapur
5,00,001 to 10,00,000
Ghaziabad Chandigarh Amritsar Srinagar Jalandhar Allahabad Jodhpur Kota Aligarh
Mysore Vijayavada Tiruchirapalli Kochi Guntur Warangal Salem
Bhubaneswar Cuttack Guwahati Ranchi Raipur Jamshedpur
Rajkot Jabalpur Aurangabad Gwalior Mira-Bhayandar
Above 10,00,000
Delhi Lucknow Jaipur Faridabad Ludhiana Kanpur Agra Patna Meerut Varanasi
Bangalore Chennai Hyderabad
Kolkata
Mumbai Pune Ahmedabad Thane Vadodara Surat Indore Bhopal Nashik Nagpur Pimpri Chinchwad
Up to 1,00,000 1,00,001 to 5,00,000
280
Table 120: Socio Economic Classification (SEC) Grid
Chief Wage Earner's 5 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
5
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.
281
Table 121: Socio Economic Classification (SEC) Grid for Rural Population HOUSE HOLDING Current Occupation
Occupation Level 1: (business / industry / official / executive / supervisor / clerk / self emp / shop own / Farmer 5+ acre land)
Occupation Level 2: (skilled work / petty trader / Farmer 2 - .5+ acre land)
Occupation Level 3: (unskilled work / artisan / craft / cultivation-non owner / agricultural laborer / herd / fish / Farmer 0-2 acre land)
Highest Education
PUCCA HOUSE
SEMI PUCCA HOUSE
KUTCHA HOUSE
Some College/Graduates/PG (Gen.)/PG (Prof.)
R1
R1
R2
SSC / HHC
R1
R2
R3
Literate Standard 5 to 9
R1
R2
R3
Semi Literate up to Standard 4
R2
R3
R4
Illiterate
R2
R3
R4
Some College/Graduates/PG (Gen.) / PG (Prof.)
R1
R2
R3
SSC / HHC
R2
R2
R3
Literate Standard 5 to 9
R2
R3
R4
Semi Literate up to Standard 4
R3
R4
R4
Illiterate
R3
R4
R5
Some College/Graduates/PG (Gen.) / PG (Prof.)
R2
R3
R4
SSC / HHC
R2
R4
R4
Literate Standard 5 to 9
R3
R4
R5
Semi Literate up to Standard 4
R4
R5
R5
Illiterate
R4
R5
R5
282
Index: Charts Chart 1: Current status of internet usage in India ........................ Chart 2: Years of experience in using internet ............................ Chart 3: Trend in growth of ‘regular’ internet users ..................... Chart 4: Age distribution of regular internet users ....................... Chart 5: Place of accessing internet (multiple accesses) ................ Chart 6: Problems faced by regular net users while surfing the net ... Chart 7: Response to online marketing stimuli ............................ Chart 8: Gender breakup ...................................................... Chart 9: Age group distribution .............................................. Chart 10: City class - by population size .................................... Chart 11: City class - by market size ........................................ Chart 12: Region-wise break-ups............................................. Chart 13: Highest educational qualification................................ Chart 14: Occupational break up............................................. Chart 15: Function / field of occupation ................................... Chart 16: Head of the household............................................. Chart 17: Monthly family income ............................................ Chart 18: Most expensive vehicle owned by the household.............. Chart 19: Ownership of credit cards (individually)........................ Chart 21: Years of experience in using internet ........................... Chart 22: Number of household members using internet ................ Chart 23: Place of accessing internet ....................................... Chart 24: Place of accessing internet most regularly..................... Chart 25: Type of internet connection at home ........................... Chart 26: Type of internet connection at office........................... Chart 27: Type of internet connection at cyber café ..................... Chart 28: Type of internet connection in transit .......................... Chart 29: Service provider subscribed to at home ........................ Chart 30: Service provider subscribed to at office ........................ Chart 31: Service provider subscribed to at cyber café .................. Chart 32: Service provider subscribed to in transit ....................... Chart 33: Frequency of accessing internet from home ................... Chart 34: Frequency of accessing internet from office................... Chart 35: Frequency of accessing internet from cyber café............. Chart 36: Frequency of accessing internet in transit ..................... Chart 37: Time of the day accessing internet from home ............... Chart 38: Time of the day accessing internet from office ............... Chart 39: Time of the day accessing internet from cyber café ......... Chart 40: Time of the day accessing internet in transit.................. Chart 41: Duration of PC usage from home................................. Chart 42: Duration of internet usage on weekday from home .......... Chart 43: Duration of internet usage on weekend from home .......... Chart 44: Duration of PC usage from office ................................ Chart 45: Duration of internet usage on weekday from office .......... Chart 46: Duration of internet usage on weekend from office .......... Chart 47: Duration of PC usage from cyber café .......................... Chart 48: Duration of internet usage on weekday from cyber café .... Chart 49: Duration of internet usage on weekend from cyber café .... Chart 50: Duration of PC usage during transit ............................. Chart 51: Duration of internet usage on weekday during transit ....... Chart 52: Duration of internet usage on weekend during transit ....... Chart 53: Time spent by internet users on watching TV ................. Chart 54: Time spent by internet users on reading newspaper ......... Chart 55: Time spent by internet users on listening to radio ........... Chart 56: Online shopping.....................................................
19 20 21 22 25 26 30 37 38 39 40 44 47 48 49 50 51 52 53 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 93
283
Chart 57: Response to online marketing stimulus ......................... 94 Chart 58: Blogging activities .................................................. 95 Chart 59: Frequency of reading blog ........................................ 96 Chart 60: Member of an online community................................. 97 Chart 61: Usage of other language website ................................ 99 Chart 62: Problems faced while surfing the internet .................... 100
284
Index: Change from Previous Year Graphs Chart 1: Gender breakup ...................................................... 37 Chart 2: Age group distribution .............................................. 38 Chart 3: City class - by population size ..................................... 39 Chart 4: City class - by market size.......................................... 40 Chart 5: Region-wise break-ups .............................................. 44 Chart 6: Highest educational qualification ................................. 47 Chart 7: Occupational break up .............................................. 48 Chart 8: Function / field of occupation..................................... 49 Chart 9: Head of the household .............................................. 50 Chart 10: Monthly family income ............................................ 51 Chart 11: Most expensive vehicle owned by the household.............. 52 Chart 12: Ownership of credit cards (individually)........................ 53 Chart 13: Current loan liabilities............................................. 55 Chart 14: Years of experience in using internet ........................... 56 Chart 15: Place of accessing internet ....................................... 58 Chart 16: Type of internet connection at home ........................... 60 Chart 17: Type of internet connection at office........................... 61 Chart 18: Service provider subscribed to at home ........................ 64 Chart 19: Service provider subscribed to at office ........................ 65 Chart 20: Frequency of accessing internet from home ................... 68 Chart 21: Frequency of accessing internet from office................... 69 Chart 22: Time of the day accessing internet from home ............... 72 Chart 23: Time of the day accessing internet from office ............... 73 Chart 24: Duration of PC usage from home................................. 76 Chart 25: Duration of PC usage from office ................................ 79 Chart 26: Time spent by internet users on watching TV ................. 88 Chart 27: Time spent by internet users on reading newspaper ......... 89 Chart 28: Time spent by internet users on listening to radio ........... 90 Chart 29: Online shopping..................................................... 93 Chart 30: Response to online marketing stimulus ......................... 94 Chart 31: Blogging activities .................................................. 95 Chart 32: Member of an online community................................. 97 Chart 33: Usage of other language website ................................ 99 Chart 34: Problems faced while surfing the internet .................... 100
285
Index: Tables Table 1: Detailed sample base distribution of the land survey ........... 6 Table 2: A comparative view of the internet using population estimates .................................................................................... 15 Table 3: Total internet users base in India ................................. 18 Table 4: Growth in internet users in urban India.......................... 20 Table 5: Top 10 cities by contribution to regular internet user population in India ............................................................. 21 Table 6: Ownership of popular household assets among online urban Indians ............................................................................ 24 Table 7: Duration of usage of Internet and Offline mediums from home .................................................................................... 27 Table 8: Top 10 most popular online activities ............................ 27 Table 9: Biggest gainer and loser online activities during the year .... 28 Table 10: Status of local language net users ............................... 29 Table 11: Status of online shoppers and buyers ........................... 30 Table 12: Top 10 most popular online brands.............................. 31 Table 13: Top-most popular websites for specific online activities .... 32 Table 14: Cities ................................................................. 41 Table 15: Preferred language of reading ................................... 45 Table 16: Socio economic classification .................................... 46 Table 17: Population classification .......................................... 46 Table 18: Household asset ownership ....................................... 54 Table 19: Popularity of various internet activities ........................ 91 Table 20: Membership by type of online community ..................... 98 Table 21: Top of mind unaided recall - all websites ..................... 101 Table 22: Most used website - all websites................................ 103 Table 23: Preferred websites - emailing ................................... 104 Table 24: Info search (English) .............................................. 105 Table 25: Info search (local language) ..................................... 106 Table 26: Job search .......................................................... 107 Table 27: Search or buy travel products ................................... 108 Table 28: Buy travel products ............................................... 109 Table 29: Search or buy non-travel products ............................. 110 Table 30: Buy non-travel products.......................................... 111 Table 31: Online news ........................................................ 112 Table 32: Financial news & info (rates, quotes, etc.) ................... 113 Table 33: Search shares and stocks online ................................ 114 Table 34: Online share trading .............................................. 115 Table 35: Real estate info.................................................... 116 Table 36: Matrimonial search................................................ 117 Table 37: Dating/friendship search......................................... 118 Table 38: Social networking/communities ................................ 119 Table 39: Online gaming...................................................... 120 Table 40: Download mobile content........................................ 122 Table 41: Preferred instant messaging applications ..................... 123 Table 42: Download music ................................................... 124 Table 43: Sports content ..................................................... 125 Table 44: Cinema content.................................................... 126 Table 45: Most used websites for checking local language content (other than English).................................................................... 127 Table 46: Most used websites for checking local language content (Hindi) ........................................................................... 130 Table 47: Most used websites for checking local language content (Tamil)........................................................................... 131
286
Table 48: Most used websites for checking local language content (Telugu) ......................................................................... 132 Table 49: Most used websites for checking local language content (Marathi) ........................................................................ 133 Table 50: Most used websites for checking local language content (Malayalam) .................................................................... 134 Table 51: Most used websites for checking local language content (Bengali) ........................................................................ 135 Table 52: Most used websites for checking local language content (Gujarati) ....................................................................... 136 Table 53: Most used websites for checking local language content (Kannada) ....................................................................... 137 Base: 122Table 54: Preferred blog sites ................................... 137 Table 54: Preferred blog sites ............................................... 138 Table 55: Preferred astrology website ..................................... 139 Table 56: Preferred online learning / education website............... 140 Table 57: Preferred website for sharing pictures online ................ 141 Table 58: Preferred website for professional networking............... 142 Table 59: Preferred website to buy/rent CD/DVD ....................... 143 Table 60: Preferred website for sharing video online ................... 144 Table 61: Preferred website for net telephony........................... 145 Table 62: Favorite TV channels ............................................. 146 Table 63: Favorite newspapers .............................................. 149 Table 64: Favorite magazines ............................................... 151 Table 65: Favorite radio channels .......................................... 154 Table 66: TOM recall for brands............................................. 155
287
Index: Segment wise detailed tables Table 1: Gender breakup ..................................................... 159 Table 2: Age group distribution ............................................. 160 Table 3: City class - by population size .................................... 161 Table 4: City class - by market size ........................................ 162 Table 5: Top 10 cities ......................................................... 163 Table 6: Top 10 cities ......................................................... 164 Table 7: Region-wise break-ups ............................................. 165 Table 8: Preferred language of reading .................................... 166 Table 9: Preferred language of reading .................................... 167 Table 10: Preferred language of reading .................................. 168 Table 11: Preferred language of reading .................................. 169 Table 12: Preferred language of reading .................................. 170 Table 13: Socio economic classification ................................... 171 Table 14: Highest educational qualification............................... 172 Table 15: Occupation ......................................................... 173 Table 16: Occupation ......................................................... 174 Table 17: Occupation ......................................................... 175 Table 18: Occupation ......................................................... 176 Table 19: Function / field of occupation .................................. 177 Table 20: Function / field of occupation .................................. 178 Table 21: Head of the household ........................................... 179 Table 22: Monthly family income ........................................... 180 Table 23: Most expensive vehicle owned by the household ............ 181 Table 24: Ownership of credit cards (individually)....................... 182 Table 25: Household asset ownership ...................................... 183 Table 26: Household asset ownership ...................................... 184 Table 27: Household asset ownership ...................................... 185 Table 28: Household asset ownership ...................................... 186 Table 29: Household asset ownership ...................................... 187 Table 30: Current loan liabilities............................................ 188 Table 31: Current loan liabilities............................................ 189 Table 32: Years of experience in using internet.......................... 190 Table 33: No. of household members using internet .................... 191 Table 34: Place of accessing internet ...................................... 192 Table 35: Place of accessing most regularly internet.................... 193 Table 36: Type of internet connection at home .......................... 194 Table 37: Type of internet connection at office ......................... 195 Table 38: Type of internet connection at cybercafe .................... 196 Table 39: Type of internet connection in transit......................... 197 Table 40: Service provider subscribed to at home ....................... 198 Table 41: Service provider subscribed to at home ....................... 199 Table 42: Service provider subscribed to at office....................... 200 Table 43: Service provider subscribed to at office....................... 201 Table 44: Service provider subscribed to at cybercafe .................. 202 Table 45: Service provider subscribed to at cybercafe .................. 203 Table 46: Service provider subscribed to in transit ...................... 204 Table 47: Service provider subscribed to in transit ...................... 205 Table 48: Frequency of accessing internet from home .................. 206 Table 49: Frequency of accessing internet from office ................. 207 Table 50: Frequency of accessing internet from cybercafe ............ 208 Table 51: Frequency of accessing internet during transit............... 209 Table 52: Time of the day accessing internet from home .............. 210
288
Table 53: Time of the day accessing internet from office .............. 211 Table 54: Time of the day accessing internet from cyber café ........ 212 Table 55: Time of the day accessing internet during transit ........... 213 Table 56: Duration of PC usage from home ............................... 214 Table 57: Duration of PC usage from home ............................... 215 Table 58: Duration of PC usage from office ............................... 216 Table 59: Duration of PC usage from office ............................... 217 Table 60: Duration of PC usage from cybercafe .......................... 218 Table 61: Duration of PC usage from cybercafe .......................... 219 Table 62: Duration of PC usage during transit ............................ 220 Table 63: Duration of PC usage during transit ............................ 221 Table 64: Time spent by internet users on watching TV ................ 222 Table 65: Time spent by internet users on reading newspaper ........ 223 Table 66: Time spent by internet users on listening to radio .......... 224 Table 67: Popularity of various internet activities ....................... 225 Table 68: Popularity of various internet activities ....................... 226 Table 69: Popularity of various internet activities ....................... 227 Table 70: Popularity of various internet activities ....................... 228 Table 71: Popularity of various internet activities ....................... 229 Table 72: Popularity of various internet activities ....................... 230 Table 73: Popularity of various internet activities ....................... 231 Table 74: Popularity of various internet activities ....................... 232 Table 75: Online shopping.................................................... 233 Table 76: Response to online marketing stimulus ........................ 234 Table 77: Response to online marketing stimulus ........................ 235 Table 78: Blogging activities ................................................. 236 Table 79: Frequently read blog website ................................... 237 Table 80: Member of an online community ............................... 238 Table 81: Membership by type of online community .................... 239 Table 82: Membership by type of online community .................... 240 Table 83: Membership by type of online community .................... 241 Table 84: Membership by type of online community .................... 242 Table 85: Usage of other language websites .............................. 243 Table 86: Problems faced while surfing the internet .................... 244 Table 87: Preferred website for emailing ................................. 246 Table 88: Top of mind unaided recall - all websites ..................... 247 Table 89: Most used website - all websites................................ 248 Table 90: Preferred info search engine - English ......................... 249 Table 91: Preferred info search engine - local language ................ 250 Table 92: Preferred website for job search ............................... 251 Table 93: Preferred website for search/buy travel products........... 252 Table 94: Preferred website for net telephony........................... 253 Table 95: Preferred website for real estate............................... 254 Table 96: Preferred website for financial news/info .................... 255 Table 97: Preferred website for checking news .......................... 256 Table 98: Preferred website for buying travel products ................ 257 Table 99: Preferred website for buying non-travel products online... 258 Table 100: Preferred website for trading shares/stocks online ........ 259 Table 101: Preferred website to search/trade shares/stocks online.. 260 Table 102: Preferred website for matrimony ............................. 261 Table 103: Preferred website for friendship/dating ..................... 262 Table 104: Preferred website for social networking/communities .... 263 Table 105: Preferred website for games................................... 264 Table 106: Preferred website for mobile content........................ 265 Table 107: Preferred website for instant messaging..................... 266 Table 108: Preferred website for music ................................... 267 Table 109: Preferred website for sports ................................... 268 Table 110: Preferred website for cinema.................................. 269 Table 111: Preferred website for astrology ............................... 270 Table 112: Preferred website for online learning/education........... 271
289
Table 113: Preferred website for share pictures ......................... 272 Table 114: Preferred website for professional networking ............. 273 Table 115: Preferred website to buy/rent movie CD/DVD.............. 274 Table 116: Preferred website for video sharing .......................... 275 Table 117: Preferred website to search/buy non-travel products..... 276 Table 118: City type classification by market size ....................... 278 Table 119: City type classification by population size................... 280 Table 120: Socio Economic Classification (SEC) Grid .................... 281 Table 121: Socio Economic Classification (SEC) Grid for Rural Population ................................................................................... 282
290
291
292