SPIR NetMonitor Research on the Sociodemography of ... yrs 2.49 3 599 23.05 1.09 3 452 22.10 230.14 1.08 15 616 0.80 2 452 576 Source: NetMonitor – SPIR ... Secondary education without

SPIR NetMonitor

Research on the Sociodemography ofInternet Users in the Czech Republic

Medium title:

novinky.cz|rubrika Ekonomika

Month:

September 2016

Basic information

The size of Internet population in the Czech Republic 1 474 599Number of respondents

Medium N = 155Total (for all measured media) N = 2 079

RU(number) 144 266Reach(%) 9.78PV(number) (from Czech visitors) 317 858PV(number) (from all visitors) 352 140GRP (%) 21.56

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

-1-


Table 1: Sex

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Male 63.73 91 946 12.32 75.79 240 912 32.28 123.04 51.80 746 280 49.08 150 751 701

Female 36.27 52 320 7.53 24.21 76 946 11.08 75.24 48.20 694 402 50.92 156 415 869

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

Chart 1: Sex by RU(%)

0 % 50 % 100 %

Male64

52

Female36

48

Medium Total


-2-


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 10.74 154 692 2.94 9 043 782

15-24 yrs 7.77 11 212 4.19 5.76 18 301 6.84 41.82 18.58 267 730 10.92 33 540 979

25-34 yrs 19.68 28 392 9.32 13.05 41 476 13.62 93.09 21.14 304 572 17.30 53 141 881

35-44 yrs 44.71 64 498 14.48 46.75 148 598 33.36 144.61 30.92 445 395 41.40 127 161 532

45-54 yrs 19.46 28 070 17.91 28.03 89 098 56.84 178.83 10.88 156 753 17.29 53 122 878

55-64 yrs 5.89 8 493 8.86 5.33 16 933 17.65 88.43 6.66 95 921 9.34 28 703 941

65+ yrs 2.49 3 599 23.05 1.09 3 452 22.10 230.14 1.08 15 616 0.80 2 452 576


Chart 2: Age by RU(%)

0 % 50 % 100 %

10-14 yrs 011

15-24 yrs 819

25-34 yrs 2021

35-44 yrs 4531

45-54 yrs 1911

55-64 yrs 67

65+ yrs 21

Medium Total


-3-


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 12.88 185 545 3.27 10 041 558

Finished primary 7.53 10 867 7.58 5.58 17 747 12.38 75.71 9.95 143 343 6.41 19 677 988

Secondary education without leaving exam 15.60 22 503 10.67 11.85 37 657 17.85 106.55 14.64 210 907 19.19 58 942 187

Secondary education including extension stu-dies

34.15 49 273 11.12 28.88 91 802 20.71 111.02 30.76 443 212 33.46 102 775 371

Bachelor degree 5.26 7 593 7.19 7.16 22 769 21.56 71.80 7.33 105 622 9.51 29 200 852

University degree (MA, BA, ...) 37.45 54 028 15.35 46.52 147 883 42.01 153.26 24.44 352 051 28.17 86 529 615


Chart 3: Highest Education by RU(%)

0 % 50 % 100 %

Unfinished primary 013

Finished primary 810

Secondary education without leaving exam 1615

Secondary education including extension studies 3431

Bachelor degree 57

University degree (MA, BA, ...) 3724

Medium Total


-4-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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


-5-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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

0 % 50 % 100 %

Yes00

No00

Not asked100100

Medium Total


-6-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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


-7-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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


-8-


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 0.33 472 3.78 0.51 1 608 12.85 37.75 0.87 12 512 0.81 2 500 195

CZK 6001 - 10000 0.00 0 0.00 0.00 0 0.00 0.00 3.00 43 190 2.34 7 195 267

CZK 10001 - 15000 4.79 6 910 8.26 2.69 8 546 10.22 82.51 5.81 83 639 6.28 19 295 294

CZK 15001 - 20000 4.91 7 076 6.62 1.88 5 988 5.60 66.12 7.42 106 877 4.78 14 682 294

CZK 20001 - 25000 6.46 9 316 8.91 5.36 17 051 16.30 88.94 7.26 104 607 8.96 27 512 231

CZK 25001 - 30000 5.46 7 877 7.18 1.71 5 436 4.96 71.75 7.61 109 644 7.58 23 296 070

CZK 30001 - 35000 11.42 16 476 13.85 17.24 54 802 46.05 138.27 8.26 118 998 11.90 36 568 045

CZK 35001 - 40000 11.40 16 445 15.17 11.06 35 152 32.42 151.47 7.53 108 424 11.15 34 244 088

CZK 40001 - 50000 12.41 17 903 14.59 7.45 23 668 19.29 145.69 8.52 122 722 10.18 31 255 895

CZK 50001 and more 31.15 44 941 20.22 38.03 120 891 54.40 201.95 15.43 222 234 19.20 58 973 620

No income 6.68 9 643 3.30 6.64 21 121 7.23 32.97 20.27 292 052 7.39 22 686 082

I don’t know 0.13 188 0.77 0.04 126 0.51 7.71 1.70 24 444 1.66 5 103 305

Not asked 4.86 7 012 7.68 7.38 23 468 25.69 76.67 6.34 91 334 7.77 23 855 183


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

0 % 50 % 100 %

Up to CZK 6000 01

CZK 6001 - 100000

3

CZK 10001 - 1500056

CZK 15001 - 200005

7

CZK 20001 - 2500067

CZK 25001 - 3000058

CZK 30001 - 3500011

8

CZK 35001 - 4000011

8

CZK 40001 - 5000012

9

CZK 50001 and more31

15

No income7

20

I don’t know02

Not asked56

Medium Total


-9-


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 8.52 12 288 8.29 6.91 21 964 14.81 82.74 10.29 148 314 8.92 27 400 688

1000 - 4999 inhabitants 13.14 18 954 7.17 17.33 55 071 20.82 71.56 18.36 264 523 15.98 49 078 183

5000 - 19999 inhabitants 13.09 18 878 7.25 8.61 27 354 10.50 72.36 18.08 260 523 20.41 62 705 176

20000 - 99999 inhabitants 16.62 23 975 9.61 7.63 24 261 9.72 95.96 17.32 249 495 15.85 48 700 307

Over 100000 inhabitants 48.64 70 169 13.55 59.53 189 209 36.54 135.32 35.94 517 825 38.83 119 283 215


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

0 % 50 % 100 %

Up to 999 inhabitants 910

1000 - 4999 inhabitants13

18

5000 - 19999 inhabitants13

18

20000 - 99999 inhabitants1717

Over 100000 inhabitants49

36

Medium Total


-10-


Table 10: Region

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Praha 35.98 51 903 15.93 34.52 109 714 33.66 159.03 22.62 325 916 23.07 70 852 202

Stredoceský region 11.26 16 243 12.13 14.14 44 940 33.55 121.09 9.30 133 958 8.98 27 576 355

Jihoceský region 3.92 5 652 15.04 2.74 8 717 23.20 150.23 2.61 37 573 1.81 5 551 314

Plzenský region 4.59 6 615 7.74 9.31 29 599 34.64 77.31 5.93 85 453 7.46 22 908 520

Karlovarský region 3.37 4 862 7.48 1.24 3 952 6.08 74.75 4.51 64 961 3.91 11 995 491

Ústecký region 2.69 3 874 10.67 1.41 4 494 12.37 106.52 2.52 36 325 1.30 3 998 516

Liberecký region 2.13 3 070 5.40 0.64 2 025 3.56 53.91 3.95 56 874 3.55 10 904 460

Hradecký region 5.45 7 856 6.70 3.71 11 793 10.06 66.89 8.14 117 278 8.34 25 606 337

Pardubický region 2.81 4 053 20.10 0.84 2 673 13.26 200.69 1.40 20 167 1.68 5 173 143

Region Vysocina 5.91 8 520 8.41 3.18 10 108 9.98 84.01 7.03 101 283 6.67 20 473 294

Jihomoravský region 8.45 12 195 5.67 7.84 24 920 11.59 56.66 14.92 214 948 15.47 47 528 959

Olomoucký region 2.48 3 576 21.44 1.27 4 052 24.30 214.13 1.16 16 678 0.88 2 703 180

Zlínský region 0.09 129 0.30 0.05 171 0.40 3.03 2.95 42 564 2.39 7 347 395

Moravskoslezský region 10.89 15 715 8.42 19.10 60 700 32.51 84.06 12.96 186 698 14.50 44 548 405


Chart 10: Region by RU(%)

0 % 50 % 100 %

Praha36

23

Stredoceský region 119

Jihoceský region 43

Plzenský region 56

Karlovarský region 35

Ústecký region 33

Liberecký region 24

Hradecký region 58

Pardubický region 31

Region Vysocina 67

Jihomoravský region 815

Olomoucký region 21

Zlínský region 03

Moravskoslezský region 1113

Medium Total


-11-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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


-12-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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


-13-


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 1.80 2 603 0.52 0.61 1 936 0.38 5.16 34.96 503 658 3.10 9 532 754

6-10 days in a month 8.75 12 618 4.66 5.08 16 151 5.97 46.57 18.78 270 558 6.45 19 820 504

11-15 days in a month 11.90 17 165 9.59 6.23 19 808 11.07 95.80 12.42 178 933 8.37 25 724 872

16-20 days in a month 13.59 19 607 11.87 7.03 22 357 13.54 118.55 11.46 165 167 16.21 49 784 170

21 and more days in a month 63.96 92 271 28.62 81.04 257 605 79.91 285.84 22.38 322 366 65.86 202 305 270


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

0 % 50 % 100 %

1-5 days in a month 235




21 and more days in a month 6422

Medium Total


-14-


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


-15-


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-


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-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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-


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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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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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 100.00 144 266 10.01 100.00 317 858 22.06 100.00 100.00 1 440 682 100.00 307 167 570


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 ... yrs 2.49 3 599 23.05 1.09 3 452 22.10 230.14 1.08 15 616 0.80 2 452 576 Source: NetMonitor – SPIR ... Secondary education without