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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-
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
-2-
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
-3-
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
-4-
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
-5-
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
-6-
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-
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-
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-
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-
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
-11-
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
-12-
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
-13-
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
-14-
spoluzaci.cz|Trida
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
-15-
spoluzaci.cz|Trida
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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spoluzaci.cz|Trida
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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spoluzaci.cz|Trida
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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spoluzaci.cz|Trida
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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spoluzaci.cz|Trida
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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