Demographic Profile of RespondentsBack
| Gender |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Male | 410 | 40.3 | 463 | 45.5 |
| Female | 607 | 59.7 | 554 | 54.5 |
| Total | 1017 | 100.0 | 1017 | 100.0 |
| Age |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| 18 - 29 | 133 | 13.2 | 184 | 18.3 |
| 30 - 39 | 117 | 11.6 | 186 | 18.5 |
| 40 - 49 | 201 | 20.0 | 195 | 19.3 |
| 50 - 59 | 234 | 23.3 | 201 | 19.9 |
| 60 - 69 | 186 | 18.5 | 121 | 12.0 |
| 70 or above | 135 | 13.4 | 120 | 11.9 |
| Total | 1006 | 100.0 | 1006 | 100.0 |
| Missing case (s) | 11 | 11 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| 18 - 29 | 133 | 13.2 | 184 | 18.3 |
| 30 - 49 | 318 | 31.6 | 381 | 37.8 |
| 50 or above | 555 | 55.2 | 441 | 43.8 |
| Total | 1006 | 100.0 | 1006 | 100.0 |
| Missing case (s) | 11 | 11 | ||
| Education attainment |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Primary or below | 217 | 21.4 | 240 | 23.7 |
| Junior secondary (F.1 - F.3) | 173 | 17.1 | 150 | 14.9 |
| Senior secondary (F.4 - F.5) | 245 | 24.2 | 249 | 24.6 |
| Matriculation / Diploma of Secondary Education (F.6) | 33 | 3.3 | 45 | 4.4 |
| Matriculation (F.7) | 36 | 3.6 | 43 | 4.2 |
| Tertiary, non-degree | 64 | 6.3 | 59 | 5.8 |
| Tertiary, degree (Bachelor's degree) | 197 | 19.4 | 184 | 18.2 |
| Master's degree | 43 | 4.2 | 39 | 3.8 |
| Doctoral degree or above | 5 | 0.5 | 4 | 0.4 |
| Total | 1013 | 100.0 | 1013 | 100.0 |
| Missing case (s) | 4 | 4 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Primary or below | 217 | 21.4 | 240 | 23.7 |
| Secondary | 487 | 48.1 | 487 | 48.1 |
| Tertiary or above | 309 | 30.5 | 286 | 28.3 |
| Total | 1013 | 100.0 | 1013 | 100.0 |
| Missing case (s) | 4 | 4 | ||
| District |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Wanchai (HKI) | 12 | 1.2 | 13 | 1.2 |
| Eastern (HKI) | 101 | 10.0 | 95 | 9.4 |
| Central and Western (HKI) | 33 | 3.3 | 28 | 2.8 |
| Southern (HKI) | 56 | 5.5 | 55 | 5.4 |
| Kwun Tong (KLE) | 92 | 9.1 | 95 | 9.4 |
| Kowloon City (KLW) | 59 | 5.8 | 55 | 5.5 |
| Wong Tai Sin (KLE) | 56 | 5.5 | 63 | 6.2 |
| Mong Kok (KLW) | 14 | 1.4 | 14 | 1.3 |
| Sham Shui Po (KLW) | 45 | 4.4 | 42 | 4.2 |
| Yau Tsim (KLW) | 12 | 1.2 | 10 | 1.0 |
| Sai Kung (NTE) | 98 | 9.7 | 105 | 10.3 |
| Sha Tin (NTE) | 76 | 7.5 | 71 | 7.0 |
| Islands (NTW) | 16 | 1.6 | 14 | 1.4 |
| Tsuen Wan (NTW) | 40 | 3.9 | 38 | 3.8 |
| Kwai Tsing (NTW) | 64 | 6.3 | 69 | 6.8 |
| Tuen Mun (NTW) | 80 | 7.9 | 88 | 8.7 |
| Yuen Long (NTW) | 79 | 7.8 | 74 | 7.3 |
| Northern (NTE) | 45 | 4.4 | 47 | 4.6 |
| Tai Po (NTE) | 36 | 3.6 | 37 | 3.7 |
| Total | 1014 | 100.0 | 1013 | 100.0 |
| Missing case (s) | 3 | 4 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Hong Kong Island | 202 | 19.9 | 191 | 18.8 |
| Kowloon West | 130 | 12.8 | 121 | 11.9 |
| Kowloon East | 148 | 14.6 | 158 | 15.6 |
| New Territories West | 279 | 27.5 | 284 | 28.0 |
| New Territories East | 255 | 25.1 | 259 | 25.6 |
| Total | 1014 | 100.0 | 1013 | 100.0 |
| Missing case (s) | 3 | 4 | ||
| The type of ownership of your house is: |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Self-purchased, or | 544 | 54.3 | 517 | 51.7 |
| Rented | 457 | 45.7 | 483 | 48.3 |
| Total | 1001 | 100.0 | 1000 | 100.0 |
| Missing case (s) | 16 | 17 | ||
| House type |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Public housing estate | 396 | 39.4 | 425 | 42.4 |
| Housing Authority subsidized sale flats | 146 | 14.5 | 150 | 14.9 |
| Housing Society subsidized sale flats | 18 | 1.8 | 17 | 1.7 |
| Private housing | 393 | 39.1 | 362 | 36.0 |
| Village: villas / bungalows / modern village houses | 19 | 1.9 | 19 | 1.9 |
| Village: simple stone structures / traditional village houses | 24 | 2.4 | 22 | 2.2 |
| Public temporary housing | 1 | 0.1 | 1 | 0.1 |
| Private temporary housing | 1 | 0.1 | 1 | 0.1 |
| Staff quarters | 5 | 0.5 | 6 | 0.6 |
| Others | 2 | 0.2 | 2 | 0.2 |
| Total | 1005 | 100.0 | 1004 | 100.0 |
| Missing case (s) | 12 | 13 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Public housing estate | 396 | 39.4 | 425 | 42.4 |
| Subsidized sale flats | 164 | 16.3 | 167 | 16.6 |
| Private housing | 393 | 39.1 | 362 | 36.0 |
| Others | 52 | 5.2 | 50 | 5.0 |
| Total | 1005 | 100.0 | 1004 | 100.0 |
| Missing case (s) | 12 | 13 | ||
| Occupation |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Boss / Managers / Administrators | 73 | 7.3 | 78 | 7.8 |
| Professionals | 75 | 7.5 | 77 | 7.7 |
| Associate professionals | 48 | 4.8 | 56 | 5.6 |
| Clerks | 93 | 9.3 | 103 | 10.4 |
| Service workers | 82 | 8.2 | 90 | 9.1 |
| Market sales workers | 12 | 1.2 | 15 | 1.5 |
| Skilled agricultural and fishery workers | 0 | 0.0 | 0 | 0.0 |
| Craft and related trade workers | 21 | 2.1 | 24 | 2.4 |
| Plant and machine operators and assemblers | 8 | 0.8 | 11 | 1.1 |
| Drivers | 17 | 1.7 | 22 | 2.2 |
| Unskilled workers | 29 | 2.9 | 29 | 2.9 |
| Students | 62 | 6.2 | 85 | 8.6 |
| Housewives | 166 | 16.6 | 146 | 14.7 |
| Domestic helpers | 5 | 0.5 | 5 | 0.5 |
| Unclassified | 2 | 0.2 | 1 | 0.1 |
| Retired | 261 | 26.1 | 206 | 20.7 |
| Unemployed / non-workers | 28 | 2.8 | 29 | 2.9 |
| Others | 17 | 1.7 | 18 | 1.8 |
| Total | 999 | 100.0 | 996 | 100.0 |
| Missing case (s) | 18 | 21 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Executives and professionals | 196 | 19.6 | 211 | 21.2 |
| Clerical and service workers | 187 | 18.7 | 208 | 20.9 |
| Production workers | 75 | 7.5 | 86 | 8.6 |
| Students | 62 | 6.2 | 85 | 8.6 |
| Housewives | 166 | 16.6 | 146 | 14.7 |
| Others | 313 | 31.3 | 259 | 26.0 |
| Total | 999 | 100.0 | 996 | 100.0 |
| Missing case (s) | 18 | 21 | ||
| Personal income |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| No income | 403 | 41.2 | 363 | 37.0 |
| HK$5,000 or below | 80 | 8.2 | 80 | 8.2 |
| HK$5,000-7,099 | 34 | 3.5 | 34 | 3.4 |
| HK$7,100-9,999 | 64 | 6.5 | 70 | 7.2 |
| HK$10,000-14,999 | 117 | 12.0 | 142 | 14.5 |
| HK$15,000-19,999 | 84 | 8.6 | 98 | 10.0 |
| HK$20,000-29,999 | 68 | 6.9 | 78 | 7.9 |
| HK$30,000-39,999 | 49 | 5.0 | 48 | 4.9 |
| HK$40,000-49,999 | 21 | 2.1 | 18 | 1.8 |
| HK$50,000 or above | 46 | 4.7 | 37 | 3.8 |
| Unstable | 13 | 1.3 | 13 | 1.4 |
| Total | 979 | 100.0 | 982 | 100.0 |
| Missing case (s) | 38 | 35 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| No income | 403 | 41.2 | 363 | 37.0 |
| HK$9,999 or below | 178 | 18.2 | 184 | 18.8 |
| HK$10,000-14,999 | 117 | 12.0 | 142 | 14.5 |
| HK$15,000-19,999 | 84 | 8.6 | 98 | 10.0 |
| HK$20,000-39,999 | 117 | 12.0 | 126 | 12.8 |
| HK$40,000 or above | 67 | 6.8 | 55 | 5.6 |
| Unstable | 13 | 1.3 | 13 | 1.4 |
| Total | 979 | 100.0 | 982 | 100.0 |
| Missing case (s) | 38 | 35 | ||
| Which class do you consider your family belongs to? |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Upper class | 1 | 0.1 | 1 | 0.1 |
| Upper-middle class | 34 | 3.4 | 29 | 2.9 |
| Middle class | 222 | 22.1 | 199 | 19.9 |
| Middle-Lower class | 304 | 30.3 | 310 | 30.9 |
| Lower class | 406 | 40.4 | 432 | 43.0 |
| Don't know/ Hard to say | 37 | 3.7 | 32 | 3.2 |
| Total | 1004 | 100.0 | 1002 | 100.0 |
| Missing case (s) | 13 | 15 | ||
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Upper class | 257 | 25.6 | 229 | 22.8 |
| Middle class | 304 | 30.3 | 310 | 30.9 |
| Lower class | 406 | 40.4 | 432 | 43.0 |
| Don't know/ Hard to say | 37 | 3.7 | 32 | 3.2 |
| Total | 1004 | 100.0 | 1002 | 100.0 |
| Missing case (s) | 13 | 15 | ||
| Place of birth |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Hong Kong | 593 | 58.9 | 593 | 58.9 |
| Mainland China | 378 | 37.5 | 381 | 37.8 |
| Taiwan | 1 | 0.1 | 1 | 0.1 |
| Macau | 8 | 0.8 | 7 | 0.7 |
| Southeast Asia(e.g. Malaysia、Indonesia、Vietnam) | 21 | 2.1 | 18 | 1.8 |
| Canada | 1 | 0.1 | 1 | 0.1 |
| U. S. | 1 | 0.1 | 1 | 0.1 |
| Australia | 0 | 0.0 | 0 | 0.0 |
| England | 0 | 0.0 | 0 | 0.0 |
| Others | 4 | 0.4 | 5 | 0.5 |
| Don't know | 0 | 0.0 | 0 | 0.0 |
| Total | 1007 | 100.0 | 1007 | 100.0 |
| Missing case (s) | 10 | 10 | ||
| Industry |
| Raw sample | Weighted sample | |||
| Frequency | Percentage | Frequency | Percentage | |
| Manufacturing Industry | 35 | 7.3 | 39 | 7.4 |
| Construction Industry | 43 | 9.0 | 51 | 9.7 |
| Wholesale / Retail Industry | 46 | 9.6 | 52 | 9.9 |
| Import / Export Trade | 39 | 8.1 | 46 | 8.7 |
| Accomodation and catering services | 53 | 11.0 | 59 | 11.1 |
| Transportation Industry; Postal and courier services | 40 | 8.3 | 46 | 8.7 |
| Warehouse | 3 | 0.6 | 4 | 0.7 |
| Finance | 32 | 6.7 | 36 | 6.8 |
| Insurance | 1 | 0.2 | 2 | 0.3 |
| Property | 7 | 1.5 | 10 | 1.8 |
| Science technology; Professional business services | 16 | 3.3 | 13 | 2.5 |
| Telecommunication | 13 | 2.7 | 15 | 2.8 |
| Public Administration | 20 | 4.2 | 22 | 4.2 |
| Education | 32 | 6.7 | 30 | 5.6 |
| Medical, Hygiene and Welfare Sector | 33 | 6.9 | 34 | 6.5 |
| Film / Entertainment Industry | 3 | 0.6 | 3 | 0.6 |
| Culture / Art | 5 | 1.0 | 5 | 1.0 |
| Agriculture, Fisheries and Mining Industry | 0 | 0.0 | 0 | 0.0 |
| Energy / Resources | 2 | 0.4 | 2 | 0.4 |
| Other service activities | 33 | 6.9 | 34 | 6.5 |
| Others | 24 | 5.0 | 26 | 4.9 |
| Total | 480 | 100.0 | 528 | 100.0 |
| Missing case (s) | 20 | 23 | ||







