1. Do you agree or disagree that license plates have always been designed for publicdisplay and there should be no restrictions on whether someone can photograph them?

243 30.4 30.4 30.4

248 31.0 31.0 61.5

131 16.3 16.3 77.8

94 11.8 11.8 89.6

83 10.4 10.4 100.0

800 100.0 100.0

Strongly Agree

Somewhat Agree

Somewhat Disagree

Strongly Disagree

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

2. In your opinion has license plate recognition - the ability for law enforcement to takephotographs of license plates with a date and time stamp -helped to solve crimes?

492 61.6 61.6 61.6

79 9.9 9.9 71.4

229 28.6 28.6 100.0

800 100.0 100.0

Yes

No

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

3. Do you agree or disagree that license plates reveal nothing about me. Peoplewho see my license plate cannot determine my name or where I live.

194 24.2 24.2 24.2

238 29.7 29.7 53.9

165 20.7 20.7 74.6

139 17.4 17.4 92.0

64 8.0 8.0 100.0

800 100.0 100.0

Strongly Agree

Somewhat Agree

Somewhat Disagree

Strongly Disagree

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 1 4/7/2014

4. What level of protection is necessary to ensure that license plate recognition technology'sbenefits are maximized while also ensuring full protection of personal privacy?

229 28.6 28.6 28.6

340 42.5 42.5 71.1

40 5.0 5.0 76.1

15 1.9 1.9 78.0

176 22.0 22.0 100.0

800 100.0 100.0

The existing federal law that makesit a federal crime to unlawfully link alicense plate to a person via accessto DMV records is enoughThe existing federal law should bestrengthened to place additionalprivacy protections to furtherprevent stalking and other crimesLicense plate recognitiontechnology has no benefits andshould be abolishedOther

Not Sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

5. Which of the following uses of the license plate technology do you think is appropriate?

566 70.7

489 61.1

242 30.2

371 46.4

243 30.4

371 46.4

55 6.9

85 10.6

800 100.0

Law enforcement use for evidence toconvict criminalsLaw enforcement use for evidence toacquit the innocentPrivate company use to locate andre-possess automobiles whose loansare delinquentPrivate company use to locate stolenvehicles and alert policeGovernment use to collect bridge orhighway tollsNonprofit organization use to recovermissing or abducted childrenNone of the above

Not sure

Total

$Q5n %

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 2 4/7/2014

6. Do you agree or disagree that the government should not limit the rights of people to take and share photos of public events?

250 31.2 31.2 31.2

262 32.8 32.8 64.0

97 12.1 12.1 76.1

59 7.4 7.4 83.5

132 16.5 16.5 100.0

800 100.0 100.0

Strongly Agree

Somewhat Agree

Somewhat Disagree

Strongly Disagree

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

6.1. Do you agree or disagree that the government should not limit the rights ofcompanies to take and share photos of public events?

219 27.3 27.3 27.3

254 31.8 31.8 59.1

137 17.2 17.2 76.3

57 7.1 7.1 83.4

133 16.6 16.6 100.0

800 100.0 100.0

Strongly Agree

Somewhat Agree

Somewhat Disagree

Strongly Disagree

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

7. Do you agree or disagree that there is no justification for any law that violates thefirst Amendment rights of citizens or companies?

235 29.4 29.4 29.4

294 36.8 36.8 66.1

92 11.5 11.5 77.6

24 3.0 3.0 80.6

155 19.4 19.4 100.0

800 100.0 100.0

Strongly Agree

Somewhat Agree

Somewhat Disagree

Strongly Disagree

Not sure

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 3 4/7/2014

Age group A

189 23.6 23.6 23.6

291 36.4 36.4 60.0

192 24.0 24.0 84.0

128 16.0 16.0 100.0

800 100.0 100.0

18-29

30-49

50-64

65+

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Age group B

189 23.6 23.6 23.6

291 36.4 36.4 60.0

192 24.0 24.0 84.0

128 16.0 16.0 100.0

800 100.0 100.0

18-24

25-34

35-54

55-69

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Generation

231 28.9 28.9 28.9

211 26.4 26.4 55.3

259 32.4 32.4 87.7

99 12.3 12.3 100.0

800 100.0 100.0

First Globals

Nikes

Woodstockers

Privates

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Education

582 72.8 72.8 72.8

218 27.2 27.2 100.0

800 100.0 100.0

No College Degree

College Degree+

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 4 4/7/2014

Race

311 38.9 39.2 39.2

303 37.9 38.2 77.4

44 5.6 5.6 83.0

106 13.2 13.3 96.3

29 3.7 3.7 100.0

794 99.3 100.0

6 .7

800 100.0

White

Hisp

AfrAmer

Asian

Other

Total

Valid

.00Missing

Total

Frequency PercentValid

PercentCumulative

Percent

Live

323 40.4 41.2 41.2

144 18.0 18.4 59.6

241 30.1 30.8 90.4

75 9.4 9.6 100.0

783 97.9 100.0

17 2.1

800 100.0

Lge City

Sm City

Suburbs

Rural

Total

Valid

0Missing

Total

Frequency PercentValid

PercentCumulative

Percent

Child<17

258 32.3 32.3 32.3

542 67.7 67.7 100.0

800 100.0 100.0

Yes

No

Total

ValidFrequency Percent

ValidPercent

CumulativePercent

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 5 4/7/2014

Status

383 47.8 48.1 48.1

249 31.1 31.3 79.3

134 16.8 16.9 96.2

30 3.8 3.8 100.0

796 99.5 100.0

4 .5

800 100.0

Married

Single, never married

Divorced/separated/widowed

Civil union or domesticpartnershipTotal

Valid

0Missing

Total

Frequency PercentValid

PercentCumulative

Percent

Income

144 18.0 18.9 18.9

98 12.3 12.9 31.8

90 11.2 11.8 43.6

211 26.4 27.8 71.4

120 15.0 15.8 87.2

62 7.7 8.1 95.3

36 4.5 4.7 100.0

761 95.1 100.0

39 4.9

800 100.0

< $25K

$25-35K

$35-50K

$50-75K

$75-100K

$100-150K

$150K+

Total

Valid

0Missing

Total

Frequency PercentValid

PercentCumulative

Percent

Gender

392 49.0 49.2 49.2

404 50.5 50.8 100.0

796 99.5 100.0

4 .5

800 100.0

Male

Female

Total

Valid

0Missing

Total

Frequency PercentValid

PercentCumulative

Percent

Zogby Analytics Online Survey of Adults in California04/4/14 - 04/06/14 MOE +/- 3.5 Percentage Points

Subsets have a larger margin of error than the whole data set. As a rule we do not rely on the validity of very small subsets of the data, especially sets smaller than 50-75 respondents. At that size subset we can make generalizations,

but in these cases the data is more qualitative than quantitativeZogby Analytics Page 6 4/7/2014