市民對梁振英第五份施政報告的即時反應 People's Instant Reaction to the Fifth Policy Address of Leung Chun-ying返回
調查日期:18/1/2017 (即日調查)
Date of survey: 18/1/2017 (Instant survey)
整體黎講,你對特首梁振英今日發表既施政報告滿唔滿意呢?#
How satisfied are you with Chief Executive Leung Chun-ying's Policy Address delivered today?#
調查日期 Date of survey |
本題基數 Sub-sample base |
非常滿意 Very satisfied |
幾滿意 Quite satisfied |
一半半 Half-half |
幾唔滿意 Not quite satisfied |
非常不滿 Very dissatisfied |
唔知/難講 DK/HS |
平均量值** Mean value** |
基數 Base |
樣本平均標準誤差 Standard Error of Mean |
淨值 Net Value |
18/1/2017 | 512 | 5.4% | 28.3% | 21.6% | 16.5% | 12.5% | 15.8% | 3.0 | 431 | 0.1 | 4.7% |
13/1/2016 | 522 | 5.0% | 14.1% | 22.9% | 16.2% | 22.8% | 19.0% | 2.5 | 423 | 0.1 | -19.9% |
14/1/2015 | 503 | 6.0% | 24.5% | 23.6% | 19.1% | 16.1% | 10.8% | 2.8 | 449 | 0.1 | -4.8% |
15/1/2014 | 611* | 6.6% | 29.6% | 29.9% | 20.0% | 11.1% | 2.9% | 3.0 | 593 | 0.1 | 5.2% |
16/1/2013 | 759* | 7.2% | 28.6% | 34.5% | 15.9% | 8.5% | 5.5% | 3.1 | 717 | 0.1 | 11.4% |
** 平均量值是把所有答案按照正面程度,以1分最低5分最高量化成為1、2、3、4、5分,再求取樣本平均數值。
** The mean value is calculated by quantifying all individual responses into 1, 2, 3, 4, 5 marks according to their degree of positive level, where 1 is the lowest and 5 the highest, and then calculate the sample mean.
組合數據 Collapsed data
調查日期 Date of survey |
本題基數 Sub-sample base |
滿意 Satisfied |
一半半 Half-half |
不滿 Dissatisfied |
唔知/難講 DK/HS |
淨值 Net Value |
18/1/2017 | 512 | 33.6% | 21.6% | 29.0% | 15.8% | 4.7% |
13/1/2016 | 522 | 19.1% | 22.9% | 39.0% | 19.0% | -19.9% |
14/1/2015 | 503 | 30.4% | 23.6% | 35.2% | 10.8% | -4.8% |
15/1/2014 | 611* | 36.2% | 29.9% | 31.0% | 2.9% | 5.2% |
16/1/2013 | 759* | 35.7% | 34.5% | 24.3% | 5.5% | 11.4% |
再撇除沒有意見者 Those without opinion further excluded
調查日期 Date of survey |
基數 Base |
滿意 Satisfied |
一半半 Half-half |
不滿 Dissatisfied |
淨值 Net Value |
18/1/2017 | 431 | 39.9% | 25.7% | 34.4% | 5.5% |
13/1/2016 | 423 | 23.6% | 28.2% | 48.2% | -24.6% |
14/1/2015 | 449 | 34.1% | 26.4% | 39.5% | -5.4% |
15/1/2014 | 593 | 37.2% | 30.8% | 31.9% | 5.3% |
16/1/2013 | 717 | 37.8% | 36.5% | 25.7% | 12.1% |
* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address
宜家想請你對特首梁振英今日發表既施政報告既滿意程度進行評分,0分代表非常不滿,100分代表非常滿意,50分代表一半半,你會俾幾多分今年既施政報告呢? #
Please use a scale of 0-100 to rate your degree of satisfaction of the policy address delivered by Chief Executive Leung Chun-ying today, with 0 indicating very dissatisfied, 100 indicating very satisfied and 50 indicating half-half. How would you rate his Seventh Policy Address?#
調查日期 Date of survey |
評分 Ratings |
標準誤差 Standard Error |
樣本人數 Total Sample |
評分人數 Number of Raters |
認知率 Recognition Rate |
18/1/2017 | 52.3 | 1.2 | 664 | 469 | 70.6% |
13/1/2016 | 41.1 | 1.3 | 608 | 450 | 74.0% |
14/1/2015 | 49.5 | 1.2 | 640 | 472 | 73.8% |
15/1/2014 | 54.1 | 1.0 | 1017 | 602 | 59.2% |
16/1/2013 | 56.4 | 0.8 | 1021 | 722 | 70.7% |
* 撇除未聞施政報告數字 Excluding those who had not heard of the Policy Address
係特首梁振英今日發表佢第五份施政報告後,你對香港前途既信心增加定減少左? #
Has your confidence in the future of Hong Kong increased or decreased after Chief Executive Leung Chun-ying issued his Fifth Policy Address?#
調查日期 Date of survey |
基數 Base |
增加左 Increased |
不變 No change |
減少左 Decreased |
唔知/難講 (包括未聽聞施政報告) DK/HS (including “know nothing about the PA”) |
淨值 Net Value |
18/1/2017 | 663 | 21.6% | 34.0% | 29.8% | 14.7% | -8.2% |
13/1/2016 | 608 | 14.6% | 28.7% | 42.2% | 14.5% | -27.5% |
14/1/2015 | 638 | 19.6% | 32.7% | 36.7% | 11.0% | -17.1% |
15/1/2014 | 1011 | 19.9% | 32.1% | 27.2% | 20.9% | -7.3% |
16/1/2013 | 1021 | 27.7% | 34.2% | 20.8% | 17.2% | 6.9% |
撇除自稱不瞭解施政報告內容而沒有作答的被訪者 Excluding respondents who said they would not answer because they did not know the content of the policy address
調查日期 Date of survey |
基數 Base |
增加左 Increased |
不變 No change |
減少左 Decreased |
唔知/難講 DK/HS |
淨值 Net Value |
18/1/2017 | 511 | 24.3% | 36.1% | 32.5% | 7.1% | -8.2% |
13/1/2016 | 521 | 16.1% | 30.7% | 43.6% | 9.6% | -27.5% |
14/1/2015 | 501 | 21.8% | 35.4% | 37.9% | 4.9% | -16.1% |
15/1/2014 | 846 | 23.7% | 38.3% | 32.5% | 5.5% | -8.8% |
16/1/2013 | 913 | 31.0% | 38.3% | 23.3% | 7.4% | 7.7% |
# 2014年起,民研計劃把以往按照年齡及性別分佈進行的簡單加權方法,改良成為按照年齡、性別及教育程度(最高就讀程度)分佈的「反覆多重加權」方法調整數據 From 2014, POP enhanced the previous simple weighting method based on age and gender distribution to “rim weighting” based on age, gender and education (highest level attended) distribution