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INTERNET USAGE BY HOUSEHOLDS AND INDIVIDUALS, 2011
ONLINE SURVEY
2
Client: National Media and Infocommunications Authority (NMIA, Hungarian
abbreviation: NMHH)
Service provider: NRC Market Research Ltd. – Ariosz Ltd.
Timing of the fieldwork: 8th December, 2011 – 3rd January, 2012
Survey methodology: online interviews with standardised questionnaire
Average length of interviews: 41 minutes
Population: Hungarian citizens aged 14+ with residence in Hungary and using the
Internet at least once a week
Sample size: 3100 respondents
Weighting: on the basis of the survey ‘Use of Telecommunication Services in the
Households 2011’ conducted for the NMIA in November-December,
2011. Weighting items in case of households: size of the household,
type of settlement, Internet technology, and children aged 0-18 in the
household. In case of individuals: gender, age, and level of education.
Applied weighting method: RIM weighting
BACKGROUND OF THE SURVEY
3
persons using the Internet at least once a week at any place, with any
equipment and by any technology
Internet users
a household having a contract for a service in the name of the respondent or
of a member of the same household while this contract is registered at the
service provider as an individual, not business contract
Subscriber
all kinds of wired and wireless technologies for accessing the Internet except
MBB
Fixed-line Internet access
usage of MBB technology on any equipment (PC, phone, stick, data card, data
cable, etc.) and by any screen (screen of a PC or of a phone)
MBB usage
DEFINITIONS
Mobile phone appropriate for both voice and Internet services with a
developed operating system that can handle applications of these operating
systems and can be controlled by its touch screen or keyboard
Smartphone
4
58 48
64 56
male female
%
2010 2011
90
77 72
58
45
16
91 86
78 72
51
17
14-19 20-29 30-39 40-49 50-59 60-X
%
2010 2011
53% of the Hungarian population aged 14+ used the Internet in any place and by any technology in 2010 while this proportion was
60% in 2011.
The distribution of Internet usage in the population is unequal in many respects, but these unequalities have been decreasing as
Internet penetration is more widespread.
All persons aged 14+: N=8.6 million; n=4241
25
48
77 84
39
52
80 88
elementary school vocational training secondary school diploma
%
2010 2011
64 65
52
40
67 69 62
49
Budapest county town other town village
%
2010 2011
INTERNET USAGE
5
The number of MBB subscriptions in the households increased to 165% in one year.
The number of supplementary MBB subscriptions increased more (to 182%), than the number of substituting MBB subscriptions (to
144%).
Households with at least one member using the Internet
N=2.4 million; n=3100
TECHNOLOGY OF INTERNET IN THE HOUSEHOLDS
Fixed-line
524
229 295 1 507
1 802
MBB
866
329 537 1 409
1 946
Fixed-line
MBB
2010
2011
Thousand households
Do not have Internet at home: 254
Do not have Internet at home: 153
6
50
48
6
3
5
5
2010
2011
%
bundle same service provider but not bundle different service providers
Having both
fixed-line Internet
and fixed phone
BUNDLED SERVICES IN THE HOUSEHOLDS
67
68
13
8
9
9
2010
2011
%
Having both
fixed-line Internet
and pay TV
54
64
14
12
27
23
2010
2011
%
bundle same service provider but not bundle different service providers
Having both MBB and
mobile phone
Individuals using the Internet: N=5.2 million; n=3100
Households with at least one member using the Internet
N=2.4 million; n=3100
7
The proportion of households having a smartphone doubled in 2011. In relation to this, a slight decrease can be noticed in the
penetration of traditional mobile phones, portable music and video players, digital cameras, desk PCs, and printers.
The proportion of smartphones increased more in households with children (from 19 to 45%) than in those without children.
An increase can be noticed in case of some new devices with a very low penetration yet (TV appropriate for Internet usage, tablet, and
e-book).
98
86
75
74
67
52
53
46
55
45
19
29
27
16
5
1
2
89
79
73
68
62
54
53
49
48
45
41
35
26
15
9
3
3
traditional mobile phone
desk PC
separate DVD player
digital camera
printer
portable PC
webcamera
flat PC screen
portable music and video player
router
smartphone
flat TV
media centre
videogame console
TV appropriate for Internet usage
tablet
e-book reader
%
2010 2011
Households with at least one member using the Internet
N=2.4 million n=3100
PENETRATION OF ICT DEVICES
8
In 2011, about twice as many households planned to buy a smartphone in the first half of the coming year than a year before. The
proportion of households planning to buy a tablet has also increased singificantly.
Households having children plan more often (30%) to buy a smartphone than households without children (27%).
Households with at least one member using the Internet
N=2.4 million; n=3100
21
15
9
2
22
28
10 10
laptop smartphone desktop tablet
Pe
rce
nt
of
an
sw
ers
, %
2010 2011
Devices that households would buy in the first half of 2012
PURCHASING PLANS
The proportion of purchasing
plans does not mean
automatically the same increase
in the proportion of households
or individuals having the given
equipment. Because in many
cases, it is about to change an
already existing equipment for a
new one.
9
The average Internet user used 1.6 type of tools in 2010 and 2 types of tools in 2011 for accessing the Internet. The reason for this
increase is the spreading of portable devices.
Instead of switching from fixed to portable devices, it is the parallel use of fixed and portable devices which is typical.
86
46
13
14
1
4
87
54
90
54
28
20
4
4
90
68
desktop
portable PC
smartphone
mobile phone
TV
tablet
Total: fixed devices
Total: portable devices
%
2010 2011
Individuals using the Internet:
N=5.2 million; n=3100
13
46
41
9
31
60
portable only
fixed only
both
%
2010 2011
TOOLS OF INTERNET USAGE
10
It would be too expensive for a significant majority of Hungarian Internet users to use both fixed-line and mobile Internet subscriptions
in parallel. In case of no limitation in technical and economic terms, a lot fewer people would subscribe only for fixed-line or MBB
while much more would subscribe for both fixed-line and MBB technology.
Individuals using the Internet:
N=5.2 million; n=3100
13
9
32
20
6
2
7
10
26
20
9
7
5 4
2
27
CaNet+MBB ADSL+MBB CaNet ADSL no subscription more MBBs one MBB other fixed-line (+MBB) DK
%
reality wishes
What would you prefer in case of no limitation in economic and technical terms?
PREFERRED TECHNOLOGY WITHOUT ECONOMIC CONSTRAINS
11
do not use
68
only with PC
19
only with phone
6
with both
6
%
2010
Individuals using the Internet:
N=5.2 million; n=3100
do not use
62
only with PC
8
only by phone
19
both with PC and
phone
11
2011
As smartphones and MBB usage is more widespread, more and more people use MBB on their phone.
Perception of people not using MBB did not change much about this technology compared to the previous year.
MBB usage
General knowledge
about MBB
Individuals not using MBB:
N=3.3 million; n=1917
17
42
41
feel to be well-
informed
informed on
average level
do not know
much about it
%
27
23
9
40
slower than the
fixed-line
about the same
faster than the
fixed-line
DK
%
7
16
40
37
cheaper than the
fixed-line
about the same
more expensive
than the fixed-line
DK
%
Price level of MBB
Speed of MBB
MBB: USAGE AND AWARENESS
12
41
35
34
38
28
37
26
22
18
17
13
10
9
4
7
6
47
42
41
40
39
39
31
26
13
13
12
11
9
6
6
5
have a data limit and an extra cost has to be paid above a given data traffic
unreliable, changing speed, breaks down often
cannot be used in certain buildings
cannot be used in all settlements
slow
expensive
have to wait too much for downloading a big amount of data
cannot be shared
can be used only with modern and expensive phones
cannot be subscribed in all settlements
operator does not allow P2P file exchange, torrenting
good only for travelling
special devices has to be bought for it
good only for starters
good only for the youth
uncomfortable
%
do not use MBB
use MBB
Users have more negative opinions about MBB than those who only heard about it.
Critiques are mostly not about the technology itself, but about service providers: the quality of the network and package policy.
Individuals using /not using MBB:
N=2 million/3.2 million; n=1183/1917
OPINIONS ON MBB
13
no smartphone
in the household
59
one smartphone
27
more
smartphones
14
%
Households
57
15
6
5
2
2
3
11
Android
Symbian OS
iOS (Apple)
Windows Mobile
Bada
Blackberry OS
other
DK
%
There are 995 thousand households with smartphone out of which 347 thousand (35%) have more devices. 64% of individuals living
in households with smartphone actively use this device. According to these data, there are 1.5 million smartphones in use in
Hungary.
Two thirds of smartphones were bought in 2011.
no smartphone
in the household
54
someone else
uses it only
17
have
smartphone in
the household
and the
respondent uses
it
29
Individuals
Individuals using the Internet:
N=5.2 million; n=3100
Households with at least one
member using the Internet,
N=2.4 million; n=3100
43
25
24
8
in July 2011 or later
between January and June, 2011
in 2010
earlier
% Time of purchasing
Individuals using smartphone:
N=1.5 million; n=901
Operating system
PENETRATION AND USAGE OF SMARTPHONES
14
6
23
59
11
only make phone
calls
both make phone
calls and use the
Internet
do not use mobile
phone
%
have a smartphone
do not have a smartphone
83
22
16
78
do not have a smartphone
have a smarthpone
%
make phone calls
make phone calls and use the Internet
99% of Internet users make phone calls from their mobile phones and 34% use the Internet on it.
Purchasing a smartphone promotes Internet usage on the phone. About 1.2 million smartphones are used for browsing the Internet.
Individuals using the Internet:
N=5.2 million; n=3100
For what do you use your mobile phone?
MOBILE PHONE AND INTERNET USAGE
65
34
1
15
88
83
53
8
67
53
50
42
35
19
45
44
30
9
4
40
38
28
23
20
39
36
34
24
19
27
20
8
6
6
9
browsing, searching
forums and blogs, passively
feed, RSS, live bookmark
social networking site, passively
listening to music
watching videos
playing games
listening to radios, watching TV
sharing photos, passively
social networking site, actively
text chat
video chat
playing on a pay server
virtual world
shopping
banking
other errands
advertising, selling
e-governance
downloading music
downloading videos
downloading softwares
file-sharing
downloading large files
forums and bolgs, actively
sharing photos, actively
writing blogs, own website
community work, e.g. wiki
social bookmarking
work for earning money
%
Individuals using the Internet:
N=5.2 million; n=3100
passively: reading, watching, downloading
actively: writing, liking ,uploading
ACTIVITIES ON THE INTERNET
information
passive entertainment
social entertainment,
socializing
errands
download
publication
work
Activities one week before the survey
Activities were grouped by a multivariate statistical method.
16
Internet users gave 3.3 on average by a 5-point scale for their skills of using the Internet.
High-level users are mostly among young people studying in elementary and secondary schools, in universities and colleges, and
among top managers.
The results of this self-identification was prooved by a more detailed objective index as well.
Individuals using the Internet:
N=5.2 million; n=3100
2
21
36
28
13
1 -
newcomer
2 - starter
3 -
average
4 -
advanced
5 - high-
level
%
3,5
3,1
4,0
3,7
3,2
2,9
2,8
2,7
3,4
3,7
3,4
3,4
3,2
3,0
3,2
3,4
4,0
3,9
3,0
3,3
male
female
14-19
20-29
30-39
40-49
50-59
60-X
self-employed
top manager
other manager
intellectual
other white-collar
blue-collar
mixed of blue and white-collar
other active
pupil
student
other inactive
Total
Means on the 5-point scale (see on the left)
Q: How would you characterise yourself according to your skills of using the Internet?
A:
1-I am absolutely a newcomer in using the Internet
2-I am not a newcomer any more, but there are many things I do not know yet
3-I have an average knowledge in using the Internet
4-I am not a high-level user, but I have an above average knowledge about it
5-I am a high-level user of the Internet
SKILLS OF USING THE INTERNET
17
Individuals using the Internet: N=5.2 million; n=3100
10
29
53
24
12
9
13
28
15
15
8
9
23
6
2
2
16
9
10
2
10
1
2
10
9
11
30
24
10
11
17
26
29
11
9
9
6
16
21
23
iWiW
myVIP
baratikor
Hi5
YouTube
Videa
IndaVideó
MySpace
Flickr
Second Life
Facebook Chat
MSN (Windows Live)
Skype
%
(about)
every day
more times
a week
about once
a week
one or two times
in the last six months
MAIN FIELDS OF SOCIALISATION
90
62
56
24
1
10
66
42
25
18
7
8
43
21
19
9
14
9
41
18
16
6
14
7
34
13
12
6
13
10
29
7
7
4
16
15
YouTube
Facebook Chat
MSN
IWiW
Skype
%
14-19 20-29 30-39 40-49 50-59 60-X
Facebook is the absolute front-runner among social networking sites: more than half of Hungarian Internet users visit it on a daily
basis. The proportion of daily visitors of iWiW decreased to 10% by now and it is more common to use it among older users.
Frequency of visiting websites Daily visitors of some sites by age-
groups (visiting daily and about daily)
18
Households subscribed for MBB technology
N=867 thousand; n=1106
89% of subscribers filled out the questionnaire through his/her own subscription and two thirds of these repsondents were able and
willing to do the speed test. The website of this speed test (www.speedtest.net) is an internationally accepted site that can provide
comparative data. Thus, there are observed speed data about 54% of households with Internet subscription. It could be compared
with the typical download speed and nominal download speed data provided by respondents in case of 42% of households with fixed-
line and 12% of households with MBB Internet subscription. Others could not tell the speed of their Internet subscription or they filled
out the questionnaire with their fixed-line connection instead of their MBB.
All in all, 30% of subscribers for fixed-line Internet and 10% of MBB subscribers have realistic knowledge about the speed of their
Internet connection.
Households subscribed for fixed-line technology
N=1.9 million; n=2484
Proportion of those who do not know the
download speed of their Internet subscription
36 30
44 38 39
32
49
40
nominal download
speed, fixed-line
typical download
speed, fixed-line
nominal download
speed, MBB
typical download
speed, MBB
%
2010 2011
Proportion of those whose expected and
observed speed match together
46 47
17
24
47 47
15 18
nominal download
speed, fixed-line
typical download
speed, fixed-line
nominal download
speed, MBB
typical download
speed, MBB
%
2010 2011
SPEED TEST: KNOWLEDGE ABOUT DOWNLOAD SPEED
http://www.speedtest.net/http://www.speedtest.net/http://www.speedtest.net/http://www.speedtest.net/http://www.speedtest.net/
19
Households with MBB subscription and taking part in the
speed test, N=121,000 ; n=154
A slight increase can be noticed in case of download speed of fixed-line Internet subscriptions compared to the previous year. Other
relevant change did not occur from last year.
There is not significant difference in the different types of settlements in the speed of MBB connections provided by the different
operators.
In contrast, there are big differences between types of settlements and service providers in case of fixed-line Internet subscriptions.
11 12
3 3 3 3
1 1
2010, fixed-line 2011, fixed-line 2010, MBB 2011, MBB
Mb
ps
download speed upload speed
2,3 4,4
2,5 0,3
T-Mobile Telenor Vodafone other
Mb
ps
Observed download speed of MBB subscriptions, 2011
2,5 2,8 3,4 2,8
Bp. county town other town village M
bp
s
Observed download speed of fixed-line Internet subscriptions, 2011
8
5
20 20
7
T-Home Invitel UPC Digi other
Mb
ps
18 16
8 6
Bp. county town other town village
Mb
ps
Households with fixed-line Internet subscription and taking
part in the speed test, N=1.1 million; n=1412
OBSERVED DOWNLOAD SPEED OF INTERNET SUBSCRIPTIONS
20
A few years ago, the speed of ADSL and cable net were about the same, but nowadays, the speed of cable net is twice as high as of
ADSL.
Subscribers in smaller settlements use much slower cable net than users in bigger cities. It is true to some extent to the subscribers
of the same service providers.
19
6
15
5
fiber ADSL CaNet other fixed-line
Mb
ps
Households with fixed-line Internet subscription and taking
part in the speed test, N=1.1 million; n=1412
21
18
10 8
Bp. county town other town village
Mb
ps
Average download speed of CaNet
12 13
9 10
24 22
16 15
23
19 19
Bp. county t. other t. village Bp. county t. other t. village Bp. county t. other t.
Mb
ps
Average download speed of CaNet
11
6
21 20
6
T-Home Invitel UPC Digi other
Mb
ps
Average download speed of CaNet
T-Home UPC Digi
OBSERVED DOWNLOAD SPEED OF FIXED-LINE INTERNET
CONNECTIONS
21
75
21
77
64
22
66
problem with
the service
problem with
the operator
problems in
total
%
2010 2011 57
40
44
29
18
14
12
9
7
52
38
36
24
18
15
13
10
7
connection slowed down significantly
connection constantly broke down
the web could not be reached for a long time
it was impossible to send emails
emails did not arrive
client service of operator could not help
repairmen did not come or came to late to fix
the problem
a too high or wrong bill was sent
client service of operator did not want to help
% 2010 2011
Individuals having Internet subscription:
N=4.8 million; n=2907
Proportion of those experiencing problems
Average number of experienced problems
The proportion of Internet users experiencing problems in the previous six months decreased from 77 to 66% between 2010 and
2011. There are some minor changes in the frequency of some certain problems.
Subscribers for fixed-line Internet experienced complete break-down of their Internet connections more regularly while MBB
subscribers experienced slow-downs and break-downs more often.
Clients of the service provider Digi among subscribers for fixed-line Internet and clients of Vodafone among MBB subscribers
experienced less problems than clients of other big operators.
1,9
0,4
2,3
1,6
0,4
2,0
problem with
the service
problem with
the operator
problems in
total
%
2010 2011
PROBLEMS WITH THE INTERNET CONNECTION
22
Security applications are used on desktops at home and on laptops in about the same proprortion. There are permanent antivirus softwares on
two thirds of PCs, separated firewalls not installed in the operating system are on two fifths of PCs, and 5% of them have some kind of content
filtering software. The vast majority of these applications are used for free.
More households with children use any kind of security application (72%) than households without children (68%).
43
66
5
45
68
6
separated firewall permanent
antivirus
separated
childproof lock
%
all individuals all individuals living with children
Desktop Laptop
69 72 64
1 1 4
13 15 10
17 12 22
separated firewall permanent
antivirus
separated
childproof lock
%
free for a monthly cost bought it in a shop DK
Individuals having desk PC at home:
N= 4.2 million; n= 2555
Individuals having laptop:
N= 2.8 million; n= 1671
69 72 52
1 1
2
14 15
11
16 12
35
separated firewall permanent
antivirus
separated
childproof lock
%
free for a monthly cost bought it in a shop DK
41
64
5
46
67
6
separated firewall permanent
antivirus
separated
childproof lock
%
all individuals all individuals living with children
SECURITY APPLICATIONS
23
90
24 20
4
children watch TV
at home
have a set-top box heard about
content filtering
softwares for set-
top boxes
use content
filtering software
on the set-top box
%
Children use the Internet in 73% of households with PC and with children. The majority of these households heard about content
filtering softwares, but only a slight minority use it.
Children watch TV in 90% of households with children and if they have a set-top box, they usually know that content filtering softwares
can be installed on it. One out of five of these households use content filtering software on their set-top box.
Children and adults heard about content filtering softwares in the same proportion. The answers of children and adults are not
different about the use of content filtering.
Households with a member using the Internet, with PC, and
with children
N= 913,000; n= 1213
73
60
9
children use the
Internet at home
heard about content
filtering softwares
use content filtering
software
%
Households with a member using the Internet and with
children
N= 952,000; n= 1267
Internet Usage Watching TV
CONTENT FILTERING