Nat Rep TEST


AUSTRIA

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 491 Male 49% 491
Female 51% 509 Female 51% 509
AGE AGE
18-24 10% 100 18-24 13% 127
25-34 16% 160 25-34 20% 204
35-44 16% 159 35-44 20% 203
45-54 20% 198 45-54 25% 252
55+ 38% 382 55-65 21% 214
REGION
Vienna 20% 200
East 17% 170
West 19% 186
North 21% 213
South 23% 231

AUSTRALIA

Internet Penetration: 88.8%
Target: 1000
18-55
MALE
18-65
MALE
18-24 7% 67 18-24 8% 77
25-34 10% 101 25-34 11% 114
35-44 10% 102 35-44 11% 115
45-54 9% 90 45-54 11% 107
55+ 13% 133 55-65 9% 95
FEMALE FEMALE
18-24 6% 64 18-24 7% 73
25-34 10% 100 25-34 11% 109
35-44 10% 102 35-44 11% 112
45-54 9% 89 45-54 11% 106
55+ 15% 151 55-65 9% 94
REGION
Sydney 20% 200
NSW Rural Inc. ACT 15% 150
Melbourne 18% 180
VIC Rural Inc. TAS 9% 90
Brisbane 9% 90
QLD Rural 11% 110
Adelaide 5% 50
SA Rural inc. NT 3% 30
Perth 7% 70
WA Rural 3% 30


BELGIUM

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 488 Male 50% 503
Female 51% 512 Female 50% 497
AGE AGE
18-24 10% 103 18-24 13% 131
25-34 16% 164 25-34 21% 209
35-44 17% 166 35-44 21% 211
45-54 18% 178 45-54 23% 227
55+ 39% 389 55-65 22% 222
REGION
Vienna 11% 110
East 32% 320
West 24% 240
North 17% 170
South 16% 160

CANADA

Internet Penetration: 77.7%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 486 Male 50% 505
Female 51% 514 Female 50% 495
AGE AGE
18-24 12% 121 18-24 14% 144
25-34 17% 175 25-34 20% 202
35-44 18% 180 35-44 22% 216
45-54 21% 210 45-54 24% 241
55+ 31% 310 55-65 20% 197
INCOME*
Less than $20,000 15% 150
$20,000 to $39,999 21% 210
$40,000 to $74,999 29% 290
More than $75,000 35% 350
REGION
Atlantic 7% 70
Central 62% 620
West 17% 170
North 14% 140

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DENMARK

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 49% 488 Male 49% 488
Female 51% 512 Female 51% 512
AGE AGE
18-24 12% 117 18-24 15% 150
25-34 15% 146 25-34 19% 187
35-44 16% 163 35-44 21% 208
45-54 18% 182 45-54 23% 234
55+ 39% 392 55-65 22% 221
REGION
Hovedstaden 30% 300
Sjaelland 15% 150
Syddanmark 22% 220
Midtjylland 22% 220
Nordjylland 11% 110

FRANCE

Internet Penetration: 68.9%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 48% 484 Male 50% 500
Female 52% 516 Female 50% 500
AGE AGE
18-24 11% 106 18-24 14% 137
25-34 16% 156 25-34 20% 202
35-44 16% 163 35-44 21% 210
45-54 17% 173 45-54 22% 224
55+ 40% 402 55-65 23% 228
SOCIAL CLASS
CSP- 60% 600
CSP+ 40% 400
REGION
Ile de France 19% 187
North East 19% 192
North West 19% 188
Centre 22% 219
South 21% 214

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FINLAND

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 49% 488 Male 49% 488
Female 51% 512 Female 51% 512
AGE AGE
18-24 10% 104 18-24 14% 137
25-34 16% 159 25-34 21% 209
35-44 15% 152 35-44 20% 199
45-54 16% 163 45-54 21% 214
55+ 42% 422 55-65 24% 221
REGION
0
0
0
0
0

GERMANY

Internet Penetration: 79.1%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 488 Male 50% 503
Female 51% 512 Female 50% 497
AGE AGE
18-24 9% 87 18-24 11% 114
25-34 15% 147 25-34 19% 194
35-44 14% 142 35-44 19% 187
45-54 20% 200 45-54 26% 263
55+ 42% 425 55-65 24% 241
INCOME*
Less than € 2,000 55% 550
More than € 2,000 45% 450
REGION
North 17% 170
West 21% 210
South 42% 420
East 20% 200

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GREECE

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 49% 488 Male 50% 503
Female 51% 512 Female 50% 497
AGE AGE
18-24 9% 87 18-24 11% 114
25-34 15% 147 25-34 19% 194
35-44 14% 142 35-44 19% 187
45-54 20% 200 45-54 26% 263
55+ 42% 425 55-65 24% 241
REGION
Attiki 34% 340
North 25% 250
Centre 28% 280
Islands 12% 120

HONG KONG

Internet Penetration: 74.5%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 47% 472 Male 48% 484
Female 53% 528 Female 52% 516
AGE AGE
18-24 11% 111 18-24 12% 117
25-34 19% 186 25-34 20% 200
35-44 23% 234 35-44 25% 246
45-54 21% 209 45-54 27% 268
55+ 26% 261 55-65 17% 170

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ITALY

Internet Penetration: 51.7%

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 48% 478 Male 49% 492
Female 52% 522 Female 51% 508
AGE AGE
18-24 8% 83 18-24 11% 109
25-34 14% 138 25-34 18% 180
35-44 18% 180 35-44 24% 237
45-54 19% 194 45-54 25% 254
55+ 40% 405 55-65 22% 220
SOCIAL CLASS
ABC1C2 49% 489
DE 51% 511
REGION
North West 26% 260
North East 19% 190
Centre 19% 190
South 36% 360

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JAPAN

NAT REP
Target: 1000
FEASIBLE
Target: 1000
18-55+
GENDER
18-65+
GENDER
GENDER
Male 49% 490 Male 50% 503 Male 49% 490
Female 51% 510 Female 50% 497 Female 51% 510
AGE AGE AGE
18-24 9% 93 18-24 12% 118 18-24 6% 60
25-34 18% 175 25-34 21% 213 25-34 19% 190
35-44 16% 157 35-44 22% 224 35-44 30% 300
45-54 16% 159 45-54 19% 193 45-54 27% 270
55+ 41% 415 55-65 25% 252 55+ 18% 180
REGION REGION
Chubu 17% 170 Chubu 13% 130
Chugoku 6% 60 Chugoku 5% 50
Hokkaido 4% 40 Hokkaido 5% 50
Kanto 33% 330 Kanto 43% 430
Kinki 18% 180 Kinki 19% 190
Kushu 11% 110 Kushu 8% 80
Shikoku 4% 40 Shikoku 2% 20
Tohoku 7% 70 Tohoku 5% 50

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MALAYSIA

Internet Penetration:

Target: 1000

18-55+
MALE
18-65+
MALE
18-24 9% 54 18-24 10% 67
25-34 12% 71 25-34 13% 98
35-44 11% 89 35-44 12% 109
45-54 9% 89 45-54 9% 120
55+ 9% 186 55-65 6% 110
18-55+
FEMALE
FEMALE
18-24 9% 57 18-24 10% 66
25-34 12% 75 25-34 13% 96
35-44 11% 93 35-44 11% 107
45-54 9% 93 45-54 9% 118
55+ 9% 194 55-65 6% 109
REGION
Federal Territory of Kuala Lumpur 14% 139
Federal Territory of Labuan 0% 5
Federal Territory of Putrajaya 1% 7
Johor 11% 112
Kedah 4% 39
Kelantan 2% 24
Malacca 3% 35
Negeri Sembilan 4% 38
Pahang 3% 31
Perak 6% 62
Perlis 0% 5
Penang 8% 77
Sabah 6% 56
Sarawak 6% 64
Selangor 29% 287
Terengganu 2% 21

NETHERLANDS

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 491 Male 50% 502
Female 51% 509 Female 50% 498
AGE AGE
18-24 11% 107 18-24 14% 136
25-34 16% 156 25-34 20% 198
35-44 16% 156 35-44 20% 197
45-54 19% 189 45-54 24% 240
55+ 39% 392 55-65 23% 229
REGION
West 17% 170
North 21% 210
East 42% 420
South 20% 200

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NORWAY

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 50% 502 Male 51% 513
Female 50% 498 Female 49% 487
AGE AGE
18-24 12% 117 18-24 14% 145
25-34 18% 177 25-34 22% 219
35-44 17% 172 35-44 21% 214
45-54 18% 177 45-54 22% 219
55+ 36% 358 55-65 20% 203
REGION
Oslo og Akershus 24% 238
Hedmark og Oppland 8% 77
Sør-Østlandet 19% 191
Agder og Rogaland 14% 142
Vestlandet 17% 169
Trøndelag 9% 87
Nord-Norge 10% 96

POLAND

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 48% 478 Male 50% 498
Female 52% 522 Female 50% 502
AGE AGE
18-24 10% 99 18-24 12% 120
25-34 19% 190 25-34 23% 232
35-44 19% 190 35-44 23% 233
45-54 15% 150 45-54 18% 183
55+ 37% 371 55-65 23% 232

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RUSSIA

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 45% 451 Male 48% 478
Female 55% 549 Female 52% 522
AGE AGE
18-24 9% 88 18-24 10% 104
25-34 21% 208 25-34 25% 247
35-44 18% 185 35-44 22% 220
45-54 17% 170 45-54 20% 203
55+ 35% 350 55-65 23% 226
REGION
Central Federal District 35% 350
Hedmark og Oppland 11% 110
Sør-Østlandet 11% 110
Agder og Rogaland 19% 190
Vestlandet 8% 80
Trøndelag 12% 120
Nord-Norge 4% 40

SINGAPORE

Internet Penetration: 77.2%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 491 Male 49% 486
Female 51% 509 Female 51% 514
AGE AGE
18-24 12% 119 18-24 12% 117
25-34 21% 208 25-34 22% 218
35-44 24% 242 35-44 28% 280
45-54 21% 210 45-54 24% 244
55+ 22% 220 55-65 14% 141
REGION
Center 18% 178
South 21% 206
East 19% 187
North West 16% 156
South West 10% 100
North 17% 173

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SOUTH KOREA

NAT REP
Internet Penetration: 82.5%

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 50% 24,850 Male 51% 25,400
Female 50% 25,150 Female 49% 24,600
AGE AGE
18-24 13% 6,538 18-24 14% 6,813
25-34 22% 11,115 25-34 23% 11,722
35-44 23% 11,450 35-44 25% 12,472
45-54 19% 9,260 45-54 23% 11,741
55+ 23% 11,637 55-65 15% 7,252
REGION
Seoul 31% 15,550
Gyeonggi 25% 12,700
Gangwon 2% 1,200
Gyeongsang 23% 11,350
Jeju 1% 400
Jeonra 9% 4,600
Chungcheong 8% 4,200

SPAIN

Internet Penetration: 62.6%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 490 Male 51% 506
Female 51% 510 Female 49% 494
AGE AGE
18-24 8% 83 18-24 10% 104
25-34 15% 152 25-34 19% 191
35-44 21% 212 35-44 27% 266
45-54 19% 191 45-54 24% 240
55+ 36% 361 55-65 20% 199
REGION
North 36% 360
Central 36% 360
South 28% 280

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SWEDEN

Internet Penetration:

Target: 1000

18-55+
GENDER
18-65+
GENDER
Male 50% 497 Male 51% 507
Female 50% 503 Female 49% 493
AGE AGE
18-24 11% 108 18-24 14% 141
25-34 17% 170 25-34 22% 222
35-44 16% 159 35-44 21% 207
45-54 17% 169 45-54 22% 220
55+ 40% 395 55-65 21% 210
REGION
North 11% 105
Middle 17% 169
East 26% 255
West 18% 184
South East 18% 177
South 11% 110

SWITZERLAND

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 489 Male 50% 502
Female 51% 511 Female 50% 498
AGE AGE
18-24 10% 97 18-24 12% 122
25-34 17% 167 25-34 21% 209
35-44 17% 174 35-44 22% 219
45-54 19% 193 45-54 24% 243
55+ 37% 369 55-65 21% 207
REGION
0

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THAILAND

Internet Penetration:

Target: 1000

18-55+
MALE
18-65+
MALE
18-24 7% 54 18-24 8% 67
25-34 11% 71 25-34 12% 98
35-44 10% 89 35-44 12% 109
45-54 9% 89 45-54 10% 120
55+ 12% 186 55-65 8% 110
FEMALE FEMALE
18-24 7% 57 18-24 8% 66
25-34 11% 75 25-34 12% 96
35-44 11% 93 35-44 12% 107
45-54 9% 93 45-54 10% 118
55+ 13% 194 55-65 8% 109
REGION
Bangkok 45% 450
Central 23% 230
East 7% 70
North 8% 80
Northeast 9% 90
South 5% 50
West 3% 30

UAE

Internet Penetration:
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 74% 739 Male 74% 740
Female 26% 261 Female 26% 260
AGE AGE
18-24 14% 138 18-24 14% 139
25-34 39% 390 25-34 40% 395
35-44 28% 285 35-44 29% 288
45-54 13% 131 45-54 13% 133
55+ 6% 56 55-65 4% 44
REGION
0

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UNITED KINGDOM

Internet Penetration:

Target: 1000

18-55+

GENDER

18-65+
MALE
Male 49% 494 18-24 51% 506
Female 51% 506 25-34 49% 494
AGE FEMALE
18-24 11% 111 18-24 14% 140
25-34 17% 174 25-34 22% 219
35-44 16% 159 35-44 20% 201
45-54 18% 185 45-54 23% 233
55+ 37% 371 55-65 21% 206
SOCIAL CLASS
ABC1 54% 538
C2DE 46% 462
REGION
North 37% 370
Midlands 31% 310
South 32% 320

UNITED STATES

Internet Penetration: 77.3%
Target: 1000
18-55+
GENDER
18-65+
GENDER
Male 49% 486 Male 50% 500
Female 51% 514 Female 50% 500
AGE AGE
18-24 14% 140 18-24 15% 155
25-34 18% 182 25-34 21% 211
35-44 18% 180 35-44 22% 219
45-54 19% 189 45-54 23% 229
55+ 31% 310 55-65 19% 186
INCOME*
Less than $20,000 14% 140
$20,000 to $39,000 19% 190
$40,000 to $74,000 28% 280
More than $75,000 39% 390
REGION
Northeast 18% 180
Midwest 22% 220
South 37% 370
West 23% 230

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