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SPIR NetMonitor Research on the Sociodemography of Internet Users in the Czech Republic Medium title: spoluzaci.cz|Trida Month: September 2016 Basic information The size of Internet population in the Czech Republic 6 630 393 Number of respondents Medium N = 420 Total (for all measured media) N = 20 193 RU(number) 80 102 Reach(%) 1.21 PV(number) (from Czech visitors) 631 283 PV(number) (from all visitors) 653 836 GRP (%) 9.52 Source: NetMonitor – SPIR – Gemius & STEM/MARK September 2016 -1-

2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

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Page 1: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

SPIR NetMonitor

Research on the Sociodemography ofInternet Users in the Czech Republic

Medium title:

spoluzaci.cz|Trida

Month:

September 2016

Basic information

The size of Internet population in the Czech Republic 6 630 393Number of respondents

Medium N = 420Total (for all measured media) N = 20 193

RU(number) 80 102Reach(%) 1.21PV(number) (from Czech visitors) 631 283PV(number) (from all visitors) 653 836GRP (%) 9.52

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

-1-

Page 2: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 1: Sex

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Male 50.48 40 432 1.20 51.25 323 526 9.61 99.37 50.68 3 283 197 53.32 2 629 614 402

Female 49.52 39 669 1.22 48.75 307 757 9.43 100.65 49.32 3 194 696 46.68 2 302 500 864

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

Chart 1: Sex by RU(%)

0 % 50 % 100 %

Male5051

Female5049

Medium Total

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

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Page 3: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 2: Age

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

10-14 yrs 2.19 1 753 0.42 0.94 5 951 1.41 34.41 6.19 401 110 2.16 106 334 975

15-24 yrs 4.40 3 526 0.35 3.22 20 300 2.01 28.88 15.03 973 417 10.97 540 934 365

25-34 yrs 9.94 7 958 0.62 6.65 42 011 3.29 51.62 19.32 1 251 590 16.51 814 224 337

35-44 yrs 22.98 18 403 1.20 17.49 110 406 7.22 99.64 23.20 1 503 090 25.32 1 248 870 397

45-54 yrs 24.67 19 760 1.85 29.19 184 243 17.24 153.02 16.14 1 045 800 19.76 974 738 301

55-64 yrs 24.78 19 845 2.33 24.89 157 131 18.48 193.20 12.93 837 634 15.51 765 122 272

65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618

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

Chart 2: Age by RU(%)

0 % 50 % 100 %

10-14 yrs 26

15-24 yrs 415

25-34 yrs 1019

35-44 yrs 2323

45-54 yrs 2516

55-64 yrs 2513

65+ yrs 117

Medium Total

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

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Page 4: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 3: Highest Education

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Unfinished primary 2.81 2 254 0.42 2.83 17 855 3.34 34.89 7.87 509 729 3.18 156 943 136

Finished primary 3.81 3 050 0.64 2.32 14 656 3.06 52.67 7.05 456 994 5.52 272 304 157

Secondary education without leaving exam 31.37 25 128 1.49 25.06 158 207 9.37 123.23 25.53 1 653 861 27.94 1 377 853 112

Secondary education including extension stu-dies

41.08 32 909 1.33 35.47 223 938 9.04 109.97 37.45 2 425 953 40.79 2 011 569 859

Bachelor degree 4.53 3 629 0.79 7.33 46 295 10.12 65.67 6.96 450 764 6.32 311 533 084

University degree (MA, BA, ...) 16.39 13 129 1.32 26.98 170 333 17.14 109.38 15.14 980 589 16.26 801 911 918

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

Chart 3: Highest Education by RU(%)

0 % 50 % 100 %

Unfinished primary 38

Finished primary 47

Secondary education without leaving exam 3126

Secondary education including extension studies 4137

Bachelor degree 57

University degree (MA, BA, ...) 1615

Medium Total

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

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Page 5: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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 10.38 8 312 0.92 9.56 60 332 6.67 76.07 12.89 834 860 14.54 716 889 384

2 persons 34.69 27 790 1.47 34.49 217 730 11.51 121.65 27.72 1 795 545 29.73 1 466 287 077

3 persons 27.06 21 676 1.54 22.03 139 052 9.88 127.43 20.80 1 347 445 21.52 1 061 464 096

4 persons 19.79 15 854 1.14 27.98 176 609 12.73 94.56 23.22 1 504 165 23.43 1 155 721 282

5 persons 5.08 4 067 0.92 2.58 16 259 3.68 76.31 6.40 414 373 6.12 302 000 389

6 and more persons 0.81 647 0.37 2.43 15 350 8.71 30.42 2.78 180 393 2.50 123 418 062

Not asked 2.19 1 753 0.42 0.94 5 951 1.41 34.41 6.19 401 110 2.16 106 334 975

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

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

0 % 50 % 100 %

1 person 1013

2 persons 3528

3 persons 2721

4 persons 2023

5 persons 56

6 and more persons 13

Not asked2

6

Medium Total

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

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Page 6: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 5: Head of the Household

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Yes 54.62 43 750 1.26 54.98 347 053 10.03 104.62 49.42 3 201 588 54.87 2 706 330 634

No 45.38 36 352 1.15 45.02 284 230 8.97 94.95 50.58 3 276 305 45.13 2 225 784 631

Not asked 0.00 0 - 0.00 0 - - 0.00 0 0.00 0

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

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

0 % 50 % 100 %

Yes55

49

No45

51

Not asked00

Medium Total

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

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Page 7: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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) 60.47 48 434 1.30 59.53 375 820 10.08 107.56 55.07 3 567 453 54.95 2 710 133 060

Businessman, sale trader 11.66 9 343 1.14 9.88 62 381 7.62 94.52 11.81 764 773 13.43 662 323 095

Not working 12.21 9 779 0.67 8.73 55 085 3.78 55.61 21.12 1 368 353 15.17 748 380 059

Retired 13.10 10 492 1.69 19.83 125 210 20.18 139.95 8.15 528 025 11.99 591 168 918

Not asked 2.56 2 052 23.81 2.03 12 787 148.37 1 971.22 3.85 249 287 4.46 220 110 133

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

Chart 6: Economic Activity by RU(%)

0 % 50 % 100 %

Employed (also on irregular basis) 6055

Businessman, sale trader 1212

Not working 1221

Retired13

8

Not asked34

Medium Total

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

-7-

Page 8: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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 16.90 13 540 1.21 15.36 96 961 8.68 100.30 16.49 1 067 974 16.40 808 895 929

B 16.70 13 379 1.20 14.47 91 362 8.22 99.60 16.26 1 053 273 17.48 862 211 021

C1 15.48 12 399 1.42 22.98 145 084 16.62 117.56 13.22 856 554 14.20 700 149 216

C2 11.47 9 191 1.27 8.84 55 821 7.73 105.36 10.90 706 026 12.20 601 638 352

C3 10.00 8 010 1.18 12.98 81 930 12.06 97.57 9.26 599 840 10.59 522 176 885

D1 12.36 9 900 1.74 14.54 91 759 16.09 143.72 8.50 550 596 10.01 493 847 423

D2 4.86 3 895 1.15 5.06 31 960 9.47 95.51 4.54 294 177 5.30 261 316 842

E 1.39 1 112 0.75 0.79 4 994 3.35 61.80 2.39 154 498 2.18 107 611 078

Not qualified 10.83 8 671 0.81 4.98 31 412 2.94 67.12 18.45 1 194 952 11.64 574 268 519

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

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

0 % 50 % 100 %

A - highest 1716

B1716

C115

13

C21111

C3109

D112

9

D255

E12

Not qualified 1118

Medium Total

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

-8-

Page 9: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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 1.44 1 154 1.77 0.97 6 120 9.41 146.87 1.02 66 039 0.78 38 545 935

CZK 6001 - 10000 2.12 1 698 0.76 2.25 14 228 6.32 62.50 3.13 202 702 3.23 159 290 072

CZK 10001 - 15000 6.86 5 497 0.97 5.40 34 097 5.99 79.92 8.65 560 551 9.01 444 308 474

CZK 15001 - 20000 16.86 13 505 1.78 19.21 121 253 15.97 147.22 11.32 733 444 12.59 621 189 731

CZK 20001 - 25000 15.97 12 788 1.63 20.85 131 608 16.76 134.81 11.37 736 375 12.78 630 248 649

CZK 25001 - 30000 10.46 8 375 1.01 10.11 63 792 7.69 83.57 11.21 726 468 12.02 592 956 286

CZK 30001 - 35000 9.12 7 307 1.23 4.83 30 471 5.15 102.20 8.14 527 473 8.77 432 635 669

CZK 35001 - 40000 12.29 9 843 1.65 16.00 101 006 16.95 136.76 8.47 548 606 9.04 445 783 203

CZK 40001 - 50000 7.81 6 253 1.21 9.01 56 878 11.01 100.17 7.51 486 696 8.17 403 018 795

CZK 50001 and more 3.73 2 987 0.70 2.41 15 194 3.54 57.65 7.32 474 200 7.21 355 391 019

No income 1.46 1 168 0.41 1.37 8 670 3.01 33.61 3.37 218 121 2.04 100 849 333

I don’t know 9.70 7 766 1.40 6.66 42 015 7.58 116.05 12.29 796 100 12.20 601 563 125

Not asked 2.19 1 753 0.42 0.94 5 951 1.41 34.41 6.19 401 110 2.16 106 334 975

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

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

0 % 50 % 100 %

Up to CZK 6000 11

CZK 6001 - 1000023

CZK 10001 - 1500079

CZK 15001 - 2000017

11

CZK 20001 - 2500016

11

CZK 25001 - 300001011

CZK 30001 - 3500098

CZK 35001 - 4000012

8

CZK 40001 - 5000088

CZK 50001 and more4

7

No income13

I don’t know10

12

Not asked2

6

Medium Total

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

-9-

Page 10: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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 14.13 11 314 1.07 9.76 61 632 5.81 88.24 15.87 1 027 821 14.52 716 310 469

1000 - 4999 inhabitants 19.63 15 720 1.15 31.99 201 979 14.77 95.12 20.74 1 343 344 21.06 1 038 713 778

5000 - 19999 inhabitants 16.66 13 348 1.14 20.22 127 641 10.95 94.77 17.58 1 139 058 17.54 864 951 508

20000 - 99999 inhabitants 31.40 25 151 1.71 26.69 168 466 11.44 141.39 22.23 1 440 257 23.49 1 158 479 357

Over 100000 inhabitants 18.19 14 568 0.93 11.34 71 565 4.58 77.16 23.58 1 527 412 23.39 1 153 660 154

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

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

0 % 50 % 100 %

Up to 999 inhabitants 1416

1000 - 4999 inhabitants2021

5000 - 19999 inhabitants1718

20000 - 99999 inhabitants31

22

Over 100000 inhabitants18

24

Medium Total

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

-10-

Page 11: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 10: Region

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Praha 9.10 7 291 0.78 4.42 27 933 2.99 64.64 14.09 913 001 13.07 644 775 646

Stredoceský region 6.77 5 425 0.66 10.39 65 595 8.04 55.04 12.17 788 494 11.67 575 396 373

Jihoceský region 9.10 7 291 1.96 7.43 46 885 12.58 161.97 5.59 362 116 5.49 270 918 695

Plzenský region 7.29 5 839 1.64 5.73 36 154 10.18 136.14 5.29 342 483 5.71 281 386 874

Karlovarský region 1.32 1 055 0.66 1.10 6 915 4.33 54.74 2.38 154 118 1.72 84 801 824

Ústecký region 6.70 5 366 1.10 7.03 44 377 9.11 91.18 7.38 478 129 7.25 357 594 219

Liberecký region 3.74 2 997 1.13 3.94 24 878 9.41 93.87 3.94 255 166 3.99 196 655 903

Hradecký region 5.49 4 398 1.32 16.27 102 700 30.82 109.25 5.09 329 780 5.21 257 162 738

Pardubický region 5.19 4 154 1.19 4.48 28 255 8.09 98.42 5.30 343 355 5.05 249 017 112

Region Vysocina 7.56 6 053 2.08 7.59 47 933 16.43 171.78 4.36 282 257 4.90 241 802 159

Jihomoravský region 10.60 8 489 1.09 6.49 40 939 5.26 90.33 11.78 763 384 12.21 602 369 576

Olomoucký region 5.16 4 136 1.05 4.73 29 860 7.61 87.26 5.94 385 030 6.74 332 474 513

Zlínský region 7.17 5 742 1.53 8.96 56 589 15.07 126.60 5.72 370 460 5.81 286 453 544

Moravskoslezský region 14.81 11 859 1.64 11.45 72 269 10.01 136.01 10.96 710 115 11.18 551 306 091

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

Chart 10: Region by RU(%)

0 % 50 % 100 %

Praha9

14

Stredoceský region 712

Jihoceský region 96

Plzenský region 75

Karlovarský region 12

Ústecký region 77

Liberecký region 44

Hradecký region 55

Pardubický region 55

Region Vysocina 84

Jihomoravský region 1112

Olomoucký region 56

Zlínský region 76

Moravskoslezský region 1511

Medium Total

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

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Page 12: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

Table 11: Facilities

MEDIUM TOTAL

RU

(%)

RU

(number)

Reach

(%)

PV

(%)

PV

(number)

TRP

(%)

Affinity

(%)

RU

(%)

RU

(number)

PV

(%)

PV

(number)

Family house, villa, farmstead 37.58 30 100 1.19 45.20 285 351 11.29 98.58 38.67 2 504 709 40.87 2 015 536 547

Weekend cottage 14.82 11 873 1.18 11.39 71 884 7.12 97.38 14.98 970 231 15.08 743 744 560

Car - younger than 10 year 38.59 30 913 1.29 35.96 227 027 9.49 106.96 37.30 2 416 060 37.35 1 841 993 989

Car - older than 10 year 42.02 33 659 1.16 43.82 276 632 9.55 96.17 40.84 2 645 833 42.04 2 073 231 878

Micro-wave oven 76.27 61 095 1.16 75.61 477 283 9.03 95.69 75.88 4 915 167 79.20 3 906 106 625

Dishwasher 40.41 32 366 1.12 44.15 278 725 9.60 92.31 44.25 2 866 572 44.36 2 187 827 600

Electric drilling machine 64.89 51 980 1.23 68.15 430 227 10.21 102.14 59.44 3 850 441 61.96 3 056 021 138

Digital camera 67.37 53 961 1.15 69.64 439 627 9.40 95.55 65.82 4 264 036 68.48 3 377 541 566

Video recorder/DVD 56.67 45 391 1.05 58.56 369 711 8.55 86.93 60.04 3 889 119 61.74 3 044 973 937

Videocamera, digital videocamera 21.41 17 147 0.86 21.59 136 319 6.86 71.40 27.03 1 751 095 27.12 1 337 399 937

Colour TV 84.77 67 900 1.23 88.80 560 554 10.17 101.98 79.58 5 155 304 83.77 4 131 419 935

Home cinema 12.83 10 273 0.78 13.18 83 232 6.35 64.87 17.69 1 145 921 16.39 808 310 963

Personal computer 81.17 65 015 1.17 85.35 538 782 9.72 97.13 79.61 5 157 285 83.29 4 108 102 160

Cable TV 26.74 21 421 0.97 26.99 170 401 7.68 79.94 30.84 1 997 470 30.60 1 509 322 332

Nothing from above 5.19 4 155 2.00 4.72 29 810 14.33 165.33 3.84 248 877 3.58 176 653 742

Not asked 2.19 1 753 0.45 0.94 5 951 1.54 37.55 6.01 389 101 2.13 104 847 578

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

Chart 11: Facilities by RU(%)

0 % 50 % 100 %

Family house, villa, farmstead 3839

Weekend cottage 1515

Car - younger than 10 year 3937

Car - older than 10 year 4241

Micro-wave oven7676

Dishwasher40

44

Electric drilling machine 6559

Digital camera 6766

Video recorder/DVD 5760

Videocamera, digital videocamera 2127

Colour TV85

80

Home cinema13

18

Personal computer 8180

Cable TV27

31

Nothing from above 54

Not asked2

6

Medium Total

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

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spoluzaci.cz|Trida

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 92.43 74 035 1.17 86.38 545 309 8.60 96.63 93.98 6 088 233 94.59 4 665 395 263

At work 38.78 31 063 1.19 41.41 261 393 9.99 98.27 39.38 2 551 272 40.22 1 983 842 269

At school 3.38 2 704 0.35 1.96 12 373 1.60 28.91 10.92 707 594 7.38 364 215 899

In a net café 2.37 1 899 0.43 2.15 13 602 3.05 35.27 4.99 323 162 3.65 180 010 893

At friends/family 7.12 5 706 0.41 4.68 29 572 2.10 33.60 16.24 1 052 210 12.90 636 312 084

Other place 4.00 3 204 0.31 2.23 14 074 1.37 25.83 13.35 864 920 12.02 593 043 103

Not asked 0.00 0 0.00 0.00 0 0.00 0.00 0.04 2 383 0.01 375 335

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

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

0 % 50 % 100 %

At home9294

At work3939

At school3

11

In a net café2

5

At friends/family 716

Other place 413

Not asked00

Medium Total

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

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Page 14: 2016_09_ (PDF) - 1.im.cz · PDF file65+ yrs 11.05 8 852 1.87 17.62 111 242 23.50 154.81 7.18 465 250 9.77 481 890 618 Source: NetMonitor – SPIR – Gemius & STEM/MARK, September

spoluzaci.cz|Trida

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 3.11 2 492 0.18 2.27 14 340 1.03 14.78 26.19 1 696 856 1.96 96 580 985

6-10 days in a month 6.59 5 277 0.54 3.44 21 719 2.22 44.58 14.46 936 790 4.21 207 729 359

11-15 days in a month 11.21 8 983 1.04 12.75 80 477 9.30 85.91 13.22 856 337 8.25 407 074 932

16-20 days in a month 17.26 13 822 1.33 21.10 133 184 12.84 110.33 15.69 1 016 448 17.50 862 900 259

21 and more days in a month 61.83 49 527 2.11 60.44 381 563 16.22 174.25 30.43 1 971 460 68.08 3 357 829 730

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

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

0 % 50 % 100 %

1-5 days in a month 326

6-10 days in a month 714

11-15 days in a month 1113

16-20 days in a month 1716

21 and more days in a month 6230

Medium Total

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

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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 0.80 640 0.73 1.24 7 854 8.90 60.12 1.34 86 625 0.98 48 422 474

Middle management 8.13 6 514 1.36 14.12 89 157 18.67 112.90 6.87 445 176 6.95 342 805 506

Highly qualified specialist (teacher, scientist) 8.72 6 981 1.33 5.78 36 493 6.95 110.05 8.55 553 539 8.38 413 388 305

Working in the office (administration, ...) 13.37 10 709 1.50 11.89 75 042 10.51 124.10 11.54 747 537 12.47 614 803 320

Working outside of the office (sales agent, ...) 0.48 384 0.29 0.13 837 0.64 24.31 1.92 124 326 1.87 92 444 932

Foreman, sister ward, supervisor, ... 2.38 1 908 1.02 2.85 18 013 9.60 84.15 2.93 190 001 2.87 141 422 815

Manual worker with minimum middle qualifi-cation

8.73 6 989 1.38 7.03 44 409 8.74 113.82 6.62 429 002 6.10 300 636 301

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

1.47 1 176 1.59 1.05 6 638 8.95 131.37 1.09 70 366 1.22 60 074 388

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

10.70 8 567 1.10 7.94 50 149 6.45 91.16 10.38 672 571 10.39 512 640 089

Manual worker without (porter, dustman) 5.74 4 600 1.38 7.49 47 285 14.22 114.49 4.00 258 920 3.81 187 913 769

Respondent is not employed 39.49 31 628 1.12 40.46 255 405 9.08 93.05 44.76 2 899 823 44.96 2 217 563 367

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

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

0 % 50 % 100 %

Top management 11

Middle management 87

Highly qualified specialist (teacher, scientist) 99

Working in the office (administration, ...) 1312

Working outside of the office (sales agent, ...) 02

Foreman, sister ward, supervisor, ... 23

Manual worker with minimum middle qualification 97

Qualified manual worker in agriculture, forestry, ... 11

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

1110

Manual worker without (porter, dustman) 64

Respondent is not employed 3945

Medium Total

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

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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) 2.14 1 710 0.76 0.57 3 607 1.61 63.21 2.74 177 613 3.57 176 173 852

Self employed (craftsman, seller) 6.77 5 423 1.04 7.19 45 403 8.69 85.90 6.59 426 925 7.36 363 139 783

Store, company owner 2.36 1 888 1.79 2.04 12 891 12.23 148.37 2.27 147 055 2.28 112 210 826

Farmer 0.40 320 2.42 0.08 480 3.62 200.52 0.26 16 600 0.27 13 192 391

Respondent is not a businessman 88.34 70 759 1.23 90.12 568 902 9.87 101.59 88.14 5 709 699 86.52 4 267 398 414

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

Chart 15: Business Activities by RU(%)

0 % 50 % 100 %

Specialist (lawyer, architect) 23

Self employed (craftsman, seller) 77

Store, company owner 22

Farmer00

Respondent is not a businessman 8888

Medium Total

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

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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 50.84 40 727 1.35 46.54 293 814 9.73 111.65 41.97 2 719 017 45.32 2 235 153 853

1 to 5 subordinates 7.39 5 918 0.76 3.47 21 892 2.80 62.75 11.06 716 494 10.84 534 588 531

6 to 10 subordinates 4.66 3 728 1.68 5.73 36 190 16.26 138.69 3.90 252 807 3.71 183 099 520

11 to 50 subordinates 3.28 2 626 1.05 11.58 73 123 29.23 86.93 4.10 265 561 3.71 183 068 566

More than 50 subordinates 1.03 826 0.85 0.47 2 982 3.08 70.59 1.40 90 536 1.31 64 695 452

Respondent has no posibility to have subordi-nates

32.80 26 274 1.16 32.20 203 282 8.99 96.20 37.57 2 433 477 35.11 1 731 509 343

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

Chart 16: Number of Subordinates by RU(%)

0 % 50 % 100 %

Without subordinates51

42

1 to 5 subordinates7

11

6 to 10 subordinates54

11 to 50 subordinates34

More than 50 subordinates11

Respondent has no posibility to have subordinates 3338

Medium Total

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

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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)

17.08 13 685 0.52 12.15 76 714 2.94 43.45 27.54 1 783 825 24.83 1 224 433 817

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

16.71 13 387 0.36 14.98 94 572 2.52 29.52 28.81 1 866 388 24.89 1 227 703 856

Modifying computer’s hardware by oneself 9.03 7 235 0.43 8.01 50 559 3.01 35.61 15.60 1 010 234 13.76 678 508 935

Creating and saving files or folders (directories) 41.44 33 194 0.93 37.51 236 822 6.62 76.76 43.86 2 841 471 42.67 2 104 300 665

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

49.61 39 740 0.98 48.74 307 685 7.62 81.49 52.22 3 382 440 54.10 2 668 038 051

Connecting a computer to LAN or wireless ne-tworks

13.73 10 998 0.62 10.11 63 826 3.59 51.25 18.64 1 207 271 16.02 790 165 175

Other reply (old questionnaire) 1.63 1 305 0.43 0.77 4 868 1.61 35.83 4.09 264 976 2.83 139 701 257

None of the above 34.43 27 579 2.86 40.23 253 974 26.37 237.00 27.87 1 805 525 28.85 1 423 123 100

Not asked 0.00 0 0.00 0.00 0 0.00 0.00 0.07 4 376 0.03 1 537 830

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

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

0 % 50 % 100 %

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

1728

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

1729

Modifying computer’s hardware by oneself 916

Creating and saving files or folders (directories) 4144

Working with text - copy, paste, simple modifications 5052

Connecting a computer to LAN or wireless networks 1419

Other reply (old questionnaire) 24

None of the above34

28

Not asked00

Medium Total

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

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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...

28.16 22 558 1.12 24.66 155 701 7.72 92.60 30.83 1 997 335 28.52 1 406 595 147

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

53.30 42 692 0.92 52.71 332 770 7.17 76.13 61.76 4 000 785 61.65 3 040 520 399

Using search engines 67.50 54 068 1.08 66.11 417 340 8.31 89.09 68.72 4 451 631 72.45 3 573 226 074

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

58.61 46 948 1.10 57.85 365 184 8.53 90.80 52.81 3 421 108 51.51 2 540 532 465

Downloading games, music, movies, videosand animations

28.65 22 948 0.72 19.70 124 382 3.89 59.43 36.29 2 351 064 32.31 1 593 699 481

Shopping on the Internet (e-shops ...) 54.25 43 457 1.05 47.14 297 567 7.20 86.99 54.69 3 542 773 59.66 2 942 319 599

None of the above 5.54 4 433 3.80 3.97 25 067 21.51 314.91 3.68 238 317 3.36 165 869 065

Other reply (old questionnaire) 9.53 7 637 1.51 13.63 86 075 17.06 125.31 11.78 762 915 9.60 473 576 478

Not asked 0.00 0 0.00 0.00 0 0.00 0.00 0.07 4 376 0.03 1 537 830

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

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

0 % 50 % 100 %

Instant messaging - online communication like ICQ, AOL... 2831

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

5362

Using search engines 6869

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

5953

Downloading games, music, movies, videos and animations 2936

Shopping on the Internet (e-shops ...) 5455

None of the above6

4

Other reply (old questionnaire) 1012

Not asked00

Medium Total

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

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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

83.50 66 886 2.75 90.50 571 328 23.53 228.01 62.77 4 065 865 71.97 3 549 606 280

Till 10 % approx. 9.22 7 386 0.41 4.99 31 531 1.74 33.64 16.77 1 086 297 15.18 748 710 158

From 10 till 30 % approx. 2.48 1 987 0.23 1.86 11 766 1.39 19.39 8.11 525 635 7.09 349 848 571

From 31 till 50 % approx. 2.28 1 828 0.35 1.44 9 104 1.76 29.29 2.90 187 590 1.79 88 462 763

From 51 till 75 % approx. 0.00 0 0.00 0.00 0 0.00 0.00 1.62 104 688 1.01 49 573 623

Fore than 75 % 0.25 203 0.21 0.24 1 520 1.60 17.68 1.21 78 670 0.63 31 099 508

I don’t know, I’m not sure 0.07 56 0.02 0.01 84 0.04 1.98 0.37 23 658 0.14 6 941 557

Respondent wasn’t asked 2.19 1 753 0.36 0.94 5 951 1.23 30.05 6.26 405 487 2.19 107 872 805

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

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

0 % 50 % 100 %

None or almost none time I spent on foreign websites 8463

Till 10 % approx. 917

From 10 till 30 % approx. 28

From 31 till 50 % approx. 23

From 51 till 75 % approx. 02

Fore than 75 %01

I don’t know, I’m not sure 00

Respondent wasn’t asked 26

Medium Total

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

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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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