Monday, April 30, 2007

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SURVEYING SECOND LIFE

Sl_demographics

Last month, the renowned market research solutions provider Global Market Insite conducted what is, to my knowledge, the broadest survey of consumer opinion of Second Life to date.  Of their nearly 10,000 respondents, just 479 were Second Life users, but even that number is one of the largest, rigorously collected sample of Resident opinion so far.  Their key finding for marketers, of course, is that 78% of those surveyed said real world advertising in SL would positively influence their real world purchasing decisions.  I reported on that yesterday for GigaOM.  But that was just one question in a much larger survey, and thanks to Jensen Gadley of GMI, I'm able to present the full survey here, after the break.

Their sample skews, I should note, toward relatively newer Residents: a full 89% have been members of SL for just a year or less.  For that reason, perhaps, the skew is slightly different demographically than Linden Lab's own figures:  66% of respondents are male, 45% live in a major city, and 51% are 29 or under.  (In LL's recent cumulative data, Residents are 59% male, and median age is 32.  Last year, at least, Residents activity was based in primarily in small cities, though that may have changed since.) 

Some highlights of the GMI report: 

- 65% have a college degree or higher; nearly 40% earn $90,000 or more in annual household income.
- 70% are married or co-habitating; nearly 60% have one child or more.
- Most respondents are relatively casual users, with 68% in-world 10 hours or less per week.
- Almost exactly half say their moral behavior in-world is slightly different than it is in real life.
- Nearly a quarter play as another gender (not too surprising) and as another race (somewhat surprising), and as a different nationality (quite surprising), while 11% have an avatar of a different political orientation (very surprising, at least to me.)

Again, that's just a sample.  The full GMI report after the break; read and discuss!

SL Usage/Attitudes among GMI Respondents

How long have you had your Second Life account?
13% Less than a month
22% 1-2 months
37% 3-6 months
17% 7-12 months
11% More than a year

When is the last time you logged into Second Life?
16% Today
24% Yesterday
19% Two days ago
15% Last week
13% Last month
6% Other
7% Don’t know

How much time do you spend in Second Life during a typical week?
38% 1-5 hours
30% 6-10 hours
15% 11-15 hours
6% 16+ hours
11% Don’t know

Where do you typically access Second Life? (pick all answers that apply)
90% At home
27% During work
13% At an internet café

Why do you spend time in Second Life?
24% To escape real life which I am not satisfied with
15% To be someone else and create my own cool avatar
24% Because it is a creative outlet for me
11% To play and interact with other online community members
3% To enable me to fulfill the fantasies I can’t fulfill in real life
2% To buy virtual estate/property
3% To buy/evaluate products that help me in my real life
3% To get freebees
4% To make new friends at home and all over the world
2% To search for information that helps me in my real life
1% To make money
3% Other
5% Don’t know

Do you have a different level of morals in Second Life compared to real life?
47% Yes, definitely
46% About the same
7% Don’t know

Do you introduce yourself differently/have a different identity in Second Life?
64% Yes
31% No
5% Don’t know

What do you present differently about yourself? (pick all answers that apply)
23% Different gender
22% Different skin color
37% Different age – younger
19% Different age – older
24% Different nationality
45% Better looking body image and physical appearance (slimmer, taller, etc.)
11% Different political orientation
7% Other
5% Don’t know

Where do you have more friends?
60% In real life
22% In Second Life
14% About the same
4% Don’t know

Do you feel Second Life interferes with your social life in the real world?
28% Yes
68% No
4% Don’t know

Do you feel uncomfortable when you don’t have access to the Internet and you can’t log into Second Life?
39% Yes
58% No
3% Don’t know

What do you do less of now that you are active in Second Life? (pick all answers that apply)
54% I watch less television
16% I spend less time with my friends and family
16% I work less
14% I don’t work out/do sports as much
20% I don’t sleep as much
13% I don’t go shopping as much
17% I don’t read as much
6% Other
16% Don’t know

Are you more likely to purchase/use a brand in real life that is represented in Second Life?
37% Yes, definitely
41% Maybe
16% No, not at all
6% Don’t know

Do you think Second Life is a good medium to promote a brand or a new product?
56% Yes, definitely
36% Maybe
3% No, not at all
5% Don’t know

Do you use Second Life in business?
89% No
6% Yes
5% Don’t know

Do you think democracy is important in Second Life?
63% Yes
23% No
14% Don’t know

Did you ever cancel your Second Life account because it didn’t live up to the hype?
22% Yes
73% No
5% Don’t know

Real world demographics of GMI respondents

                       
 

Gender

 
 

Count

 
 

Total Column %

 
 

Male

 
 

319

 
 

66.60 %

 
 

Female

 
 

160

 
 

33.40 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
                                         
 

POPULATION

 
 

Count

 
 

Total Column %

 
 

I live in a major city (500,000 person population or more)

 
 

220

 
 

45.93 %

 
 

I live in a smaller city (between 100,000 and 500,000   person population)

 
 

120

 
 

25.05 %

 
 

I live in a town (between 20,000 and 100,000 person   population)

 
 

69

 
 

14.41 %

 
 

I live in a village (less than 20,000 person population)

 
 

26

 
 

5.43 %

 
 

I live in a completely rural area (scattered population)

 
 

44

 
 

9.19 %

 
 

Total

 
 

479

 
 

100 %

 

 

                                                     
 

Marital status

 
 

Count

 
 

Total Column %

 
 

Married

 
 

244

 
 

50.94 %

 
 

Single, living with somebody

 
 

93

 
 

19.42 %

 
 

Single, living alone

 
 

111

 
 

23.17 %

 
 

Separated

 
 

7

 
 

1.46 %

 
 

Divorced

 
 

14

 
 

2.92 %

 
 

Widowed

 
 

6

 
 

1.25 %

 
 

Prefer not to answer

 
 

4

 
 

0.84 %

 
 

Total

 
 

479

 
 

100 %

 

 

                                                     
 

Annual personal income

 
 

Count

 
 

Total Column %

 
 

Less than $18, 150

 
 

47

 
 

9.81 %

 
 

$18, 151 - $36, 300

 
 

52

 
 

10.86 %

 
 

$36, 301 - $54, 450

 
 

90

 
 

18.79 %

 
 

$54, 451 - $90, 750

 
 

133

 
 

27.77 %

 
 

$90, 751 - $145, 200

 
 

99

 
 

20.67 %

 
 

$145, 201 or more

 
 

42

 
 

8.77 %

 
 

Prefer not to answer

 
 

16

 
 

3.34 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
                                                     
 

Annual household income

 
 

Count

 
 

Total Column %

 
 

Less than $18, 150

 
 

32

 
 

6.68 %

 
 

$18, 151 - $36, 300

 
 

47

 
 

9.81 %

 
 

$36, 301 - $54, 450

 
 

65

 
 

13.57 %

 
 

$54, 451 - $90, 750

 
 

127

 
 

26.51 %

 
 

$90, 751 - $145, 200

 
 

128

 
 

26.72 %

 
 

$145, 201 or more

 
 

62

 
 

12.94 %

 
 

Prefer not to answer

 
 

18

 
 

3.76 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
 
                                               
 

Household size

 
 

Count

 
 

Total Column %

 
 

One

 
 

65

 
 

13.57 %

 
 

Two

 
 

121

 
 

25.26 %

 
 

Three

 
 

116

 
 

24.22 %

 
 

Four

 
 

96

 
 

20.04 %

 
 

Five

 
 

50

 
 

10.44 %

 
 

Six or more

 
 

31

 
 

6.47 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
 
                                               
 

Children 18-

 
 

Count

 
 

Total Column %

 
 

None

 
 

164

 
 

39.61 %

 
 

One

 
 

117

 
 

28.26 %

 
 

Two

 
 

87

 
 

21.01 %

 
 

Three

 
 

25

 
 

6.04 %

 
 

Four

 
 

14

 
 

3.38 %

 
 

Five or more

 
 

7

 
 

1.69 %

 
 

Total

 
 

414

 
 

100 %

 

 

 
                                                                 
 

Children Age/Gender - Boys

 
 

Count

 
 

Total Column %

 
 

1 - 2

 
 

49

 
 

25.79 %

 
 

3 - 4

 
 

34

 
 

17.89 %

 
 

5 - 6

 
 

25

 
 

13.16 %

 
 

7 - 8

 
 

33

 
 

17.37 %

 
 

9 - 10

 
 

26

 
 

13.68 %

 
 

11 - 12

 
 

23

 
 

12.11 %

 
 

13 - 15

 
 

24

 
 

12.63 %

 
 

16 - 17

 
 

26

 
 

13.68 %

 
 

18+

 
 

7

 
 

3.68 %

 
 

Total

 
 

190

 
 

100 %

 

 

 
                                                                 
 

Children Age/Gender - Girls

 
 

Count

 
 

Total Column %

 
 

1 - 2

 
 

27

 
 

16.36 %

 
 

3 - 4

 
 

25

 
 

15.15 %

 
 

5 - 6

 
 

28

 
 

16.97 %

 
 

7 - 8

 
 

25

 
 

15.15 %

 
 

9 - 10

 
 

23

 
 

13.94 %

 
 

11 - 12

 
 

20

 
 

12.12 %

 
 

13 - 15

 
 

36

 
 

21.82 %

 
 

16 - 17

 
 

20

 
 

12.12 %

 
 

18+

 
 

8

 
 

4.85 %

 
 

Total

 
 

165

 
 

100 %

 

 

 
                                                     
 

Years of Educ.

 
 

Count

 
 

Total Column %

 
 

Primary

 
 

42

 
 

8.77 %

 
 

Junior secondary

 
 

11

 
 

2.30 %

 
 

Senior secondary

 
 

56

 
 

11.69 %

 
 

Post-secondary technical

 
 

53

 
 

11.06 %

 
 

University undergraduate

 
 

184

 
 

38.41 %

 
 

Postgraduate (masters degree)

 
 

109

 
 

22.76 %

 
 

Postgraduate (doctorate degree)

 
 

24

 
 

5.01 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
 
                                                           
 

Occupation/Employment

 
 

Count

 
 

Total Column %

 
 

Employed full-time (by someone else)

 
 

282

 
 

58.87 %

 
 

Employed part-time (by someone else)

 
 

36

 
 

7.52 %

 
 

Self-employed

 
 

58

 
 

12.11 %

 
 

Temporarily unemployed (looking for work)

 
 

12

 
 

2.51 %

 
 

Retired

 
 

10

 
 

2.09 %

 
 

Homemaker

 
 

21

 
 

4.38 %

 
 

Full-time student

 
 

57

 
 

11.90 %

 
 

Other

 
 

3

 
 

0.63 %

 
 

Total

 
 

479

 
 

100 %

 

 

 
 
                                                                                                                                                                                                     
 

Company Industry

 
 

Count

 
 

Total Column %

 
 

Aerospace and Defense: Products, Maintenance, and Services

 
 

9

 
 

1.97 %

 
 

Banking

 
 

38

 
 

8.30 %

 
 

Chemicals: Agriculture, Plastics, Fibers, and Coatings

 
 

6

 
 

1.31 %

 
 

Computer Hardware: PC, Data Storage, Networking, and   Peripherals

 
 

25

 
 

5.46 %

 
 

Computer Software and Services: Entertainment, Database,   Networking, and Data Processing

 
 

49

 
 

10.70 %

 
 

Conglomerates

 
 

6

 
 

1.31 %

 
 

Consumer Products - Durables: Appliances, Lawn, Garden,   Toys, Jewelry, and Photography

 
 

5

 
 

1.09 %

 
 

Consumer Products - Non-Durables: Apparel, Personal Care,   Office Supplies, and Luxury Goods

 
 

7

 
 

1.53 %

 
 

Diversified Services: Security, Human Resources,   Education, Non-Profits, Rentals, and Customer Service

 
 

21

 
 

4.59 %

 
 

Drugs and Pharmaceuticals: Manufacturing, Discovery,   Vitamins, and Diagnostics

 
 

4

 
 

0.87 %

 
 

Electronics and Miscellaneous Technology: Semiconductor,   Scientific and Technical Instruments, and Distribution

 
 

12

 
 

2.62 %

 
 

Energy - Oil and Gas: Exploration, Production, Services,   and Distribution

 
 

11

 
 

2.40 %

 
 

Financial Services: Asset Management, Investment Firms,   Mortgage Banking, and Services

 
 

15

 
 

3.28 %

 
 

Food, Beverage, Tobacco, and Agriculture

 
 

13

 
 

2.84 %

 
 

Health Products/Medical and Healthcare Services: Medical   Instruments, Home Care, Practices, and Distribution

 
 

27

 
 

5.90 %

 
 

Insurance: Life, Accident, Title, and Reinsurance

 
 

8

 
 

1.75 %

 
 

Leisure: Travel, Lodging, Gaming, Sports Teams, and   Restaurants

 
 

7

 
 

1.53 %

 
 

Manufacturing and Construction

 
 

29

 
 

6.33 %

 
 

Marketing, Market Research, Advertising, and Journalism/PR

 
 

4

 
 

0.87 %

 
 

Materials, Construction, Wood Products, and Waste   Management

 
 

3

 
 

0.66 %

 
 

Media: Broadcasting, Movies, Publishing, Internet, and   Online

 
 

8

 
 

1.75 %

 
 

Metals and Mining

 
 

5

 
 

1.09 %

 
 

Mining/Timber/Fishing

 
 

0

 
 

0 %

 
 

Real Estate

 
 

13

 
 

2.84 %

 
 

Retail

 
 

35

 
 

7.64 %

 
 

Specialty Retail

 
 

5

 
 

1.09 %

 
 

Telecommunications

 
 

12

 
 

2.62 %

 
 

Transportation: Airlines, Trucking, Shipping, Rail, Bus,   and Taxi

 
 

8

 
 

1.75 %

 
 

Transport Equipment: Automotive, Trucks, RV, Rail, and   Boats

 
 

4

 
 

0.87 %

 
 

Utilities

 
 

14

 
 

3.06 %

 
 

I am a student

 
 

55

 
 

12.01 %

 
 

Total

 
 

458

 
 

100 %

 

 


                                                                                                                                                                 
 

Job Occupation

 
 

Count

 
 

Total Column %

 
 

Architecture and Engineering Occupations

 
 

16

 
 

3.97 %

 
 

Arts, Design, Entertainment, Sports, and Media Occupations

 
 

18

 
 

4.47 %

 
 

Business Development, Financial Operations, Risk   Management, and Accounting Occupations

 
 

45

 
 

11.17 %

 
 

Community and Social Services Occupations

 
 

10

 
 

2.48 %

 
 

Computer, Information Technology, and Mathematical   Occupations

 
 

97

 
 

24.07 %

 
 

Construction and Extraction Occupations

 
 

8

 
 

1.99 %

 
 

Education, Training, and Library Occupations

 
 

22

 
 

5.46 %

 
 

Executive Management, Executive Leadership, and Executive   Operations Occupations

 
 

33

 
 

8.19 %

 
 

Facilities, Building, and Grounds Cleaning and Maintenance   Occupations

 
 

6

 
 

1.49 %

 
 

Farming, Fishing, and Forestry Occupations

 
 

3

 
 

0.74 %

 
 

Food Preparation and Serving-Related Occupations

 
 

15

 
 

3.72 %

 
 

Healthcare Practitioner and Technical Occupations

 
 

17

 
 

4.22 %

 
 

Healthcare Support Occupations

 
 

17

 
 

4.22 %

 
 

Installation, Maintenance, and Repair Occupations

 
 

5

 
 

1.24 %

 
 

Legal Occupations

 
 

8

 
 

1.99 %

 
 

Life, Physical, Social Science, and Market Research   Occupations

 
 

2

 
 

0.50 %

 
 

Military-Specific Occupations

 
 

3

 
 

0.74 %

 
 

Office and Administrative Support, Purchasing, Human   Resources, Customer Support, and Communications Occupations

 
 

19

 
 

4.71 %

 
 

Personal Care and Service Occupations

 
 

3

 
 

0.74 %

 
 

Product Management, Research and Development, Strategic   Planning, and Operations Occupations

 
 

7

 
 

1.74 %

 
 

Production Occupations

 
 

6

 
 

1.49 %

 
 

Protective Service Occupations

 
 

3

 
 

0.74 %

 
 

Sales, Account Management, Marketing, and Advertising   Occupations

 
 

21

 
 

5.21 %

 
 

Skilled Craftsman Occupations

 
 

11

 
 

2.73 %

 
 

Transportation and Material Moving Occupation

 
 

8

 
 

1.99 %

 
 

Total

 
 

403

 
 

100 %

 

 

 
 
                                                                 
 

Occupational Level

 
 

Count

 
 

Total Column %

 
 

Managers and senior officials

 
 

112

 
 

27.79 %

 
 

Professional occupations

 
 

117

 
 

29.03 %

 
 

Associate professional and technical

 
 

41

 
 

10.17 %

 
 

Administrative and secretarial

 
 

39

 
 

9.68 %

 
 

Skilled trades occupations

 
 

30

 
 

7.44 %

 
 

Personal service occupations

 
 

17

 
 

4.22 %

 
 

Sales and customer service occupations

 
 

29

 
 

7.20 %

 
 

Process, plant, and machine operatives

 
 

4

 
 

0.99 %

 
 

Unskilled or elementary occupations

 
 

14

 
 

3.47 %

 
 

Total

 
 

403

 
 

100 %

 

 

                           
 

Age groups

 
 

Count

 
 

Total Column %

 
 

18-29

 
 

246

 
 

51.36 %

 
 

30-44

 
 

175

 
 

36.53 %

 
 

45-64

 
 

58

 
 

12.11 %

 
 

Total

 
 

479

 
 

100 %

 

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Comments

Peter Haik

I'm actually surprised the ratio of new residents to old isn't higher given how much the numbers have grown since 1 year ago. Based on current registration count, and defining "new residents" as registered < 1 year ago, new residents make up 97% of the population.

Brainy Aleixandre

For the question on how avatars present themselves - the same or differently from their real life personas, did the firm look at gender differences? Just curious about more data to follow on Nick Yee's data from WoW (http://terranova.blogs.com/terra_nova/2005/07/new_daedalus_de.html) showing that 55% of female characters were being played by men (but very few male characters were being played by women)

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