SPIR NetMonitor Research on the Sociodemography of · PDF fileSPIR NetMonitor Research on the Sociodemography of Internet Users in the Czech Republic Medium title: |Diskuze Month:

SPIR NetMonitor

Research on the Sociodemography ofInternet Users in the Czech Republic

Medium title:

novinky.cz|Diskuze

Month:

September 2016

Basic information

The size of Internet population in the Czech Republic 3 290 081Number of respondents

Medium N = 63Total (for all measured media) N = 5 877

RU(number) 24 704Reach(%) 0.75PV(number) (from Czech visitors) 604 866PV(number) (from all visitors) 651 628GRP (%) 18.38

Source: NetMonitor – SPIR – Gemius & STEM/MARKSeptember 2016

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Table 1: Sex

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Male 74.22 18 335 1.05 69.79 422 165 24.18 136.64 54.32 1 746 002 53.64 723 423 081

Female 25.78 6 369 0.43 30.21 182 701 12.44 56.44 45.68 1 468 406 46.36 625 298 502

Source: NetMonitor – SPIR – Gemius & STEM/MARK, September 2016

Chart 1: Sex by RU(%)

0 % 50 % 100 %

Male74

54

Female26

46

Medium Total


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Table 2: Age

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

10-14 yrs 0.00 0 0.00 0.00 0 0.00 0.00 5.20 167 052 2.22 29 970 749

15-24 yrs 15.55 3 842 0.43 19.89 120 323 13.55 56.31 27.62 887 900 20.30 273 766 610

25-34 yrs 35.55 8 782 0.97 19.10 115 544 12.81 126.71 28.06 901 840 32.00 431 602 049

35-44 yrs 26.28 6 491 0.87 26.47 160 126 21.40 112.89 23.28 748 197 29.90 403 200 511

45-54 yrs 11.64 2 874 0.84 8.63 52 228 15.28 109.42 10.63 341 849 10.88 146 693 364

55-64 yrs 10.98 2 713 1.72 25.90 156 645 99.41 224.03 4.90 157 571 4.27 57 556 279

65+ yrs 0.00 0 0.00 0.00 0 0.00 0.00 0.31 9 996 0.44 5 932 022


Chart 2: Age by RU(%)

0 % 50 % 100 %

10-14 yrs 05

15-24 yrs 1628

25-34 yrs 3628

35-44 yrs 2623

45-54 yrs 1211

55-64 yrs 115

65+ yrs 00

Medium Total


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Table 3: Highest Education

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Unfinished primary 0.00 0 0.00 0.00 0 0.00 0.00 8.29 266 632 3.35 45 179 999

Finished primary 3.61 891 0.26 2.39 14 472 4.20 33.68 10.71 344 361 8.04 108 439 471

Secondary education without leaving exam 16.91 4 178 0.80 26.06 157 639 30.09 103.80 16.30 523 814 18.28 246 603 628

Secondary education including extension stu-dies

48.00 11 858 0.99 57.51 347 867 28.90 128.16 37.45 1 203 899 41.68 562 185 140

Bachelor degree 8.13 2 009 0.62 2.97 17 955 5.50 80.09 10.16 326 492 10.39 140 157 273

University degree (MA, BA, ...) 23.34 5 766 1.05 11.07 66 934 12.19 136.61 17.09 549 207 18.25 246 156 072


Chart 3: Highest Education by RU(%)

0 % 50 % 100 %

Unfinished primary 08

Finished primary 411

Secondary education without leaving exam 1716

Secondary education including extension studies 4837

Bachelor degree 810

University degree (MA, BA, ...) 2317

Medium Total


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Table 4: Number of Persons in the Household

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

1 person 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

2 persons 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

3 persons 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

4 persons 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

5 persons 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

6 and more persons 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 4: Number of Persons in the Household by RU(%)

0 % 50 % 100 %

1 person 00

2 persons 00

3 persons 00

4 persons 00

5 persons 00

6 and more persons 00

Not asked100100

Medium Total


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Table 5: Head of the Household

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Yes 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

No 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 5: Head of the Household by RU(%)

0 % 50 % 100 %

Yes00

No00

Not asked100100

Medium Total


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Table 6: Economic Activity

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Employed (also on irregular basis) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Businessman, sale trader 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not working 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Retired 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 6: Economic Activity by RU(%)

0 % 50 % 100 %

Employed (also on irregular basis) 00

Businessman, sale trader 00

Not working 00

Retired00

Not asked100100

Medium Total


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Table 7: ABCDE National Socioeconomic Classification

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

A - highest 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

B 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

C1 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

C2 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

C3 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

D1 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

D2 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

E 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not qualified 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 7: ABCDE National Socioeconomic Classification by RU(%)

0 % 50 % 100 %

A - highest 00

B00

C100

C200

C300

D100

D200

E00

Not qualified 100100

Medium Total


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Table 8: Net Income of the Household

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Up to CZK 6000 0.00 0 0.00 0.00 0 0.00 0.00 1.35 43 360 0.87 11 742 811

CZK 6001 - 10000 4.62 1 141 1.37 13.91 84 154 100.76 177.87 2.60 83 515 1.97 26 623 564

CZK 10001 - 15000 2.61 644 0.31 3.42 20 690 9.83 39.84 6.55 210 522 6.24 84 220 803

CZK 15001 - 20000 5.79 1 429 0.48 5.54 33 530 11.16 61.94 9.35 300 405 10.23 138 000 684

CZK 20001 - 25000 16.32 4 032 1.16 5.13 31 012 8.91 150.82 10.82 347 894 12.22 164 771 764

CZK 25001 - 30000 10.39 2 566 0.74 11.53 69 749 20.22 96.79 10.73 344 982 12.30 165 877 101

CZK 30001 - 35000 13.05 3 223 1.37 12.29 74 363 31.65 178.48 7.31 234 991 8.16 110 028 177

CZK 35001 - 40000 22.08 5 454 2.01 30.28 183 132 67.61 262.02 8.43 270 867 10.11 136 326 288

CZK 40001 - 50000 11.69 2 887 0.91 8.95 54 164 17.08 118.49 9.87 317 123 11.26 151 889 797

CZK 50001 and more 8.17 2 019 0.60 7.60 45 963 13.57 77.55 10.54 338 808 11.36 153 166 151

No income 0.00 0 0.00 0.00 0 0.00 0.00 14.92 479 734 8.01 108 014 611

I don’t know 0.00 0 0.00 0.00 0 0.00 0.00 2.35 75 489 2.10 28 377 687

Not asked 5.28 1 304 0.78 1.34 8 110 4.86 101.77 5.19 166 714 5.17 69 682 145


Chart 8: Net Income of the Household by RU(%)

0 % 50 % 100 %

Up to CZK 6000 01

CZK 6001 - 100005

3

CZK 10001 - 150003

7

CZK 15001 - 200006

9

CZK 20001 - 2500016

11

CZK 25001 - 300001011

CZK 30001 - 3500013

7

CZK 35001 - 4000022

8

CZK 40001 - 5000012

10

CZK 50001 and more811

No income0

15

I don’t know02

Not asked55

Medium Total


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Table 9: Size of the Place of Residence

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Up to 999 inhabitants 5.63 1 389 0.29 0.93 5 642 1.17 37.63 14.95 480 556 16.74 225 801 580

1000 - 4999 inhabitants 3.25 803 0.16 6.59 39 885 7.77 20.38 15.96 513 070 16.01 215 952 852

5000 - 19999 inhabitants 33.18 8 196 1.45 22.25 134 610 23.86 189.05 17.55 564 104 17.24 232 514 144

20000 - 99999 inhabitants 42.61 10 526 1.62 51.45 311 176 47.81 210.42 20.25 650 853 19.64 264 942 044

Over 100000 inhabitants 15.34 3 789 0.38 18.77 113 553 11.29 49.02 31.29 1 005 823 30.36 409 510 963


Chart 9: Size of the Place of Residence by RU(%)

0 % 50 % 100 %

Up to 999 inhabitants 615

1000 - 4999 inhabitants3

16


18


20

Over 100000 inhabitants15

31

Medium Total


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Table 10: Region

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Praha 9.93 2 454 0.38 13.65 82 565 12.74 49.25 20.17 648 297 17.98 242 450 558

Stredoceský region 10.67 2 635 0.55 6.64 40 156 8.38 71.60 14.90 478 994 15.40 207 760 792

Jihoceský region 5.34 1 318 1.38 13.79 83 397 87.23 179.46 2.97 95 601 2.89 39 042 551

Plzenský region 7.02 1 734 1.08 1.42 8 576 5.33 140.16 5.01 161 040 4.58 61 732 035

Karlovarský region 1.34 330 0.31 0.56 3 396 3.14 39.86 3.36 107 997 2.83 38 178 008

Ústecký region 6.62 1 635 0.98 3.26 19 696 11.85 128.05 5.17 166 184 4.74 63 993 172

Liberecký region 1.98 488 0.33 0.55 3 344 2.26 42.97 4.60 147 973 4.69 63 262 538

Hradecký region 15.36 3 795 1.99 6.80 41 139 21.62 259.48 5.92 190 311 5.80 78 277 303

Pardubický region 11.49 2 838 1.81 24.35 147 271 93.78 235.16 4.89 157 032 5.65 76 154 967

Region Vysocina 6.00 1 481 1.83 5.62 34 008 42.09 238.57 2.51 80 791 3.90 52 600 706

Jihomoravský region 7.16 1 769 0.42 3.13 18 959 4.53 55.00 13.02 418 621 13.03 175 684 755

Olomoucký region 0.00 0 0.00 0.00 0 0.00 0.00 3.33 107 156 3.67 49 490 164

Zlínský region 2.10 517 0.36 0.76 4 610 3.19 46.61 4.49 144 476 4.75 64 090 309

Moravskoslezský region 15.00 3 704 1.20 19.47 117 748 37.99 155.52 9.64 309 931 10.08 136 003 725


Chart 10: Region by RU(%)

0 % 50 % 100 %

Praha10

20

Stredoceský region 1115

Jihoceský region 53

Plzenský region 75

Karlovarský region 13

Ústecký region 75

Liberecký region 25

Hradecký region 156

Pardubický region 115

Region Vysocina 63

Jihomoravský region 713

Olomoucký region 03

Zlínský region 24

Moravskoslezský region 1510

Medium Total


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Table 11: Facilities

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Family house, villa, farmstead 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Weekend cottage 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Car - younger than 10 year 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Car - older than 10 year 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Micro-wave oven 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Dishwasher 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Electric drilling machine 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Digital camera 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Video recorder/DVD 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Videocamera, digital videocamera 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Colour TV 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Home cinema 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Personal computer 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Cable TV 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Nothing from above 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 11: Facilities by RU(%)

0 % 50 % 100 %

Family house, villa, farmstead 00

Weekend cottage 00

Car - younger than 10 year 00

Car - older than 10 year 00

Micro-wave oven00

Dishwasher00

Electric drilling machine 00

Digital camera 00

Video recorder/DVD 00

Videocamera, digital videocamera 00

Colour TV00

Home cinema00

Personal computer 00

Cable TV00

Nothing from above 00

Not asked100100

Medium Total


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Table 12: All Places of Internet Connection

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

At home 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

At work 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

At school 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

In a net café 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

At friends/family 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Other place 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 12: All Places of Internet Connection by RU(%)

0 % 50 % 100 %

At home00

At work00

At school00

In a net café00

At friends/family 00

Other place 00

Not asked100100

Medium Total


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Table 13: Measured Frequency of the Internet Use (NetMonitor)

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

1-5 days in a month 2.12 523 0.05 0.30 1 793 0.18 6.93 30.60 983 754 3.16 42 646 414

6-10 days in a month 0.74 183 0.03 0.10 627 0.11 4.00 18.55 596 130 5.76 77 621 649

11-15 days in a month 1.17 288 0.07 0.10 620 0.14 8.69 13.42 431 480 7.66 103 321 580

16-20 days in a month 19.76 4 880 1.28 29.62 179 161 46.81 165.92 11.91 382 717 10.94 147 615 969

21 and more days in a month 76.22 18 829 2.30 69.88 422 665 51.52 298.65 25.52 820 326 72.48 977 515 971


Chart 13: Measured Frequency of the Internet Use (NetMonitor) by RU(%)

0 % 50 % 100 %

1-5 days in a month 231




21 and more days in a month 7626

Medium Total


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Table 14: Characteristics of the Employment

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Top management 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Middle management 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Highly qualified specialist (teacher, scientist) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Working in the office (administration, ...) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Working outside of the office (sales agent, ...) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Foreman, sister ward, supervisor, ... 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Manual worker with minimum middle qualifi-cation

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Qualified manual worker in agriculture, fo-restry, ...

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Qualified manual worker in other professions(mechanic, fitter, craftsman)

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Manual worker without (porter, dustman) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Respondent is not employed 0.00 0 - 0.00 0 - - 0.00 0 0.00 0


Chart 14: Characteristics of the Employment by RU(%)

0 % 50 % 100 %

Top management 00

Middle management 00

Highly qualified specialist (teacher, scientist) 00

Working in the office (administration, ...) 00

Working outside of the office (sales agent, ...) 00

Foreman, sister ward, supervisor, ... 00

Manual worker with minimum middle qualification 00

Qualified manual worker in agriculture, forestry, ... 00

Qualified manual worker in other professions (mechanic, fitter,craftsman)

00

Manual worker without (porter, dustman) 00

Respondent is not employed 00

Medium Total


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Table 15: Business Activities

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Specialist (lawyer, architect) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Self employed (craftsman, seller) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Store, company owner 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Farmer 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Respondent is not a businessman 0.00 0 - 0.00 0 - - 0.00 0 0.00 0


Chart 15: Business Activities by RU(%)

0 % 50 % 100 %

Specialist (lawyer, architect) 00

Self employed (craftsman, seller) 00

Store, company owner 00

Farmer00

Respondent is not a businessman 00

Medium Total


-16-

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Table 16: Number of Subordinates

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Without subordinates 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

1 to 5 subordinates 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

6 to 10 subordinates 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

11 to 50 subordinates 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

More than 50 subordinates 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Respondent has no posibility to have subordi-nates

0.00 0 - 0.00 0 - - 0.00 0 0.00 0


Chart 16: Number of Subordinates by RU(%)

0 % 50 % 100 %

Without subordinates00

1 to 5 subordinates00



More than 50 subordinates00

Respondent has no posibility to have subordinates 00

Medium Total


-17-

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Table 17: Computer Activities Performed by Respondent

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Modifyig computer’s software by oneself (in-stalling/uninstalling/updating)

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Caring for computer’s security by oneself, secu-ring it against viruses, spyware and adware

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Modifying computer’s hardware by oneself 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Creating and saving files or folders (directories) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Working with text - copy, paste, simple modifi-cations

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Connecting a computer to LAN or wireless ne-tworks

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Other reply (old questionnaire) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

None of the above 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 17: Computer Activities Performed by Respondent by RU(%)

0 % 50 % 100 %

Modifyig computer’s software by oneself(installing/uninstalling/updating)

00

Caring for computer’s security by oneself, securing it againstviruses, spyware and adware

00

Modifying computer’s hardware by oneself 00

Creating and saving files or folders (directories) 00

Working with text - copy, paste, simple modifications 00

Connecting a computer to LAN or wireless networks 00

Other reply (old questionnaire) 00

None of the above00

Not asked100100

Medium Total


-18-

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Table 18: Online Activities Done by Respondent

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Instant messaging - online communication likeICQ, AOL...

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Watching videos or teasers on the internet (eg.YouTube, iDNES, Stream, archives of TV stati-ons, ...)

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Using search engines 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Being a member of social networks (e.g.,classmates, libimseti, facebook, ...)

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Downloading games, music, movies, videosand animations

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Shopping on the Internet (e-shops ...) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

None of the above 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Other reply (old questionnaire) 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Not asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 18: Online Activities Done by Respondent by RU(%)

0 % 50 % 100 %

Instant messaging - online communication like ICQ, AOL... 00

Watching videos or teasers on the internet (eg. YouTube, iDNES,Stream, archives of TV stations, ...)

00

Using search engines 00

Being a member of social networks (e.g., classmates, libimseti,facebook, ...)

00

Downloading games, music, movies, videos and animations 00

Shopping on the Internet (e-shops ...) 00

None of the above00

Other reply (old questionnaire) 00

Not asked100100

Medium Total


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novinky.cz|Diskuze

Table 19: Total internet time spent on foreign websites

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

None or almost none time I spent on foreignwebsites

0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Till 10 % approx. 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

From 10 till 30 % approx. 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

From 31 till 50 % approx. 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

From 51 till 75 % approx. 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Fore than 75 % 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

I don’t know, I’m not sure 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

Respondent wasn’t asked 100.00 24 704 0.77 100.00 604 866 18.82 100.00 100.00 3 214 409 100.00 1 348 721 583


Chart 19: Total internet time spent on foreign websites by RU(%)

0 % 50 % 100 %

None or almost none time I spent on foreign websites 00

Till 10 % approx. 00

From 10 till 30 % approx. 00



Fore than 75 %00

I don’t know, I’m not sure 00

Respondent wasn’t asked 100100

Medium Total


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THE KEY

Below mentioned term "target group"(given target group, chosen target group, chosen TG) is being used here as a target group given ina table line (or column of graph) of a given sociodemographic indicator, i.e. target group "women", "Liberec region", "Retired", etc. Thetarget group "All"is defined as Persons in the age of 10+ that have visited Internet at least once in the last month.

MEDIUM:

RU(number) – a number of visitors (real users) from the respective target group of a chosen medium

RU(%) – structure of visitorsInformation on the visitors profile of a chosen medium – in the form of proportional spreading of Internet users (according to Reach)among individual target groupsRU(%) = RU(number)(medium)(chosen TG)/RU(number)(medium)(TG All)*100

Reach(%) – proportion of the number of the medium visitors from the respective target group to the size of this target groupReach(%)(CS) = RU(number)(medium)(TG)/size of TG(number)*100

PV(number) – number of page views generated in the medium by users from a respective target group

PV(%) – structure of page viewsInformation on the visitors profile of a chosen medium – in the form of proportional spreading of Internet users (according to page views)among individual target groupsPV(%) = PV(number)(medium) (chosen TG)/PV(number)(medium)(TG All)*100

TRP(%) – Target Rating PointsGross rating of a given target group on a chosen mediumTRP(%) = PV(number)(medium)/ size of TG(number)*100(similarly is defined indicator GRP(%) Gross Rating Points, the difference is that as target group all population is considered, target groupAll)

Affinity(%) – affinity of reachCoefficient expressing the relationship between the audience of a chosen medium and the audience of internetAffinity(%) = Reach(%)(medium)(chosen TG)/Reach(%)(medium)(TG All)

TOTAL:

Total RU(number) – a number of visitors (real users) from the respective target group of all measured medium

Total RU(%) – structure of visitors, i.e. information on the total Reach profile for all measured mediumInformation on the visitors profile of all measured medium – in the form of proportional spreading of Internet users (according to Reach)among individual target groupsRU(%) = RU(number)(all medium)(chosen TG) /RU(number)(all medium)(TG All)*100

Total PV(number) – number of page views generated on all measured medium by users from a respective target group

Total PV(%) – structure of visitors, i.e. information on the profile of page views in total for all measured mediumInformation on the visitors profile of all measured medium – in the form of proportional spreading of Internet users (according to pageviews) among individual target groups.PV(%) = PV(number)(all medium)(chosen TG) /PV(number)(all media)(TG All)*100

Question on IT knowledge

Basic – persons, which declare basic computer and Internet knowledge (e.g. writing basic text, saving files, electronic mail, surfingwebsites, etc

Above standard – persons, which declare above standard computer and Internet knowledge (e.g. using mathematical functions in a tablecalculator, creating graphical presentations, work with search engines, databases on the users level, etc.)

Professional – IT professionals (e.g. administrators or coders)

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ABCDE classification

ABCDE classification enables evaluation of social and economical status of an individual in the society. Usually it is calculated for thehead of a household. Considering the particularity of Internet questioning a method of direct calculation for individual respondents hasbeen adopted. The methodological committee has been working on the ABCDE classification update with representatives of the researchagencies, media agencies and public professionals resulting in the suggestion of the scale A,B,C1,C2,C3,D1,D2,E. This scale correspondswith the international standard accredited by Nielsen Admosphere, a.s. and also the algorithm of the individual’s categorization corre-sponds with the international customs. ABCDE classification divides household individuals into social categories based on economicalstatus (economically active x inactive individual). For economically active it then divides entrepreneur and employee. The place at workthen serves to further differentiation (including possible number of subordinates for managing positions). The education of the examinedperson has the influence on the final categorization for all aroused classes. Based on the Nielsen Admosphere, a.s. standards for econo-mically inactive people we do not proceed according to their last employment but the level of the economic strength measured throughthe household facilities. The education influence is present here as well. Owing to the fact that the international procedure correspondsto the European levels, the social structure of the Czech population comes out worse than it used to for the current ABCD classification.Nevertheless this structure enables us to conduct comparisons within Europe. Still the committee has decided that for using it within theCzech Republic, the scale will be adjusted to take into account the specifics of the Czech Republic. This adjusted scale results from theEuropean standard by shifting one or two classes up or down based on the subsistence index of the examined person’s household.A – The group with the highest social status in the society given by a very prestigious employment and highest income at the same time.B – The group with outstanding income, usually higher management and the group of higher specialists with minimum secondary edu-cation.C1, C2, C3 – The group with average living standard and average income, e.g. small businessmen, self employees, technicians, officersand lower specialists.D1, D2 – The group with below-average living standard, e.g. low qualified or manual workers.E – The group contains 1/8 of the poorest households predominantly with inactive individuals, i.e. unemployed, retired or not qualifiedworkers.

Questions on the economic activity and employment:

These questions (3, 6, 10, 14 and 15) have been used (apart the others) mainly to set up the ABCDE classification. Based on the respon-dent’s answer to question 6 (Economic activity), he/she is then questioned by a group of specific questions. Question 6 is hence used afilter to put further questions. Thus not each respondent is asked the above mentioned five questions. Therefore for the opportunity oftarget groups creation within the whole population the segmentation of single answers to this question is supplemented with the groupof respondents that haven’t been asked this question. So for instance at question 15 "Business activities"this group is called "Respondentis not a businessman".

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Documents

SPIR NetMonitor Research on the Sociodemography of · PDF fileSPIR NetMonitor Research on the Sociodemography of Internet Users in the Czech Republic Medium title: |Diskuze Month: