Drone Awareness and Perceptions: A Three Country Study 2014

Drone Awareness and Perceptions: A Three Country Study 2014 User Guide Questionnaire Codebooks (Canada, United States, United Kingdom) Angus Reid Global Vision Critical Data Services, Queen s University Library 2014

TABLE OF CONTENTS Introduction... 2 Metadata... 2 Related Publications... 3 Documentation... 3 Questionnaire... 4 Codebook - Canada... 11 Codebook United States... 44 Codebook United Kingdom... 80 Citation... 115 1

INTRODUCTION This survey aimed to understand awareness and perceptions surrounding the use of drones to identify and collect information in Canada, United States, and United Kingdom. The questions asked individuals whether they had a basic awareness of various Unmanned Aerial Vehicles (UAV) applications, as well as assessed support for how they are being used and in what scenarios. The survey was conducted by the polling company Vision Critical in January 2014 based on a set of questions developed by the Surveillance Drones Research Team, Surveillance Studies Centre, Queen s University. There are three separate data files for this survey Canada, United States, and United Kingdom. METADATA Sample Participants for Angus Reid Global surveys are taken from American, British, and Canadian adults who are members of the Springboard America, Springboard UK, and Angus Reid Forum panels. An online survey was completed with a balanced random sampling of online panels in each country. Sample size Canada = 3045 United Kingston = 2008 United States = 3022 Methodology A split cell (monadic) design was used to separate perceptions surrounding forms of information identification and collection in general from perceptions surrounding information identification and collection when drones are used. Within each country, interviews were randomly split into one of four cells and respondents were asked to respond to one of four surveillance related topics. Steps were taken to ensure even distribution based on completed interviews. Piloted Aircraft These questions were about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. (Canada n=761; UK n=502; US n=760) Unmanned Aerial Vehicles These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or 2

remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. (Canada n=761; UK n=502; US n=751) Autonomous Unmanned Aerial Vehicles These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. (Canada n=762; UK n=500; US n=753) Control These questions are about information identification and collections for a range of purposes. (Canada n=761; UK n=504; US n=758) Geographic Coverage Canada, US, UK Weight Post data collection, results were weighted to match population age, gender, and regional distribution. RELATED PUBLICATIONS Surveillance Drones: Privacy Implications of the Spread of Unmanned Aerial Vehicles (UAVs) in Canada. A Report to the Office of the Privacy Commissioner of Canada, under the 2013-2014 Contribution Program. April 2014. Drone Awareness and Perceptions: A Three Country Study Vision Critical powerpoint DOCUMENTATION Tables Canada Tables UK Tables USA 3

QUESTIONNAIRE [INTRODUCTION SCREEN] [Programmer, show version based on cell] Version 1: Piloted Aircraft These questions are about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 2: Unmanned Aerial Vehicles These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 3: Autonomous Unmanned Aerial Vehicles These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. Version 4: Control These questions are about information identification and collection for a range of purposes. 4

Section 1: Basic Awareness The goal of this question is to have people state what areas they feel that drones are currently being used for in Canada. The edited list that we have below is taken from a Transport Canada web page and, according to our current understanding, they are all things that drones are currently being used for in Canada. In this question we are looking to get a sense of people s awareness regarding drone use. [Question format: CARD SORT] Q1_General_Awareness [Programmer based on cell, replace question text in square brackets] Thinking of [piloted aircraft / unmanned aerial vehicles / autonomous unmanned aerial vehicles / DO NOT SHOW THIS SENTENCE AT ALL FOR CONTROL] use in [based on country: Canada/the US/the UK] For which of the following purposes, if any, is information currently collected or identified [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] in [based on country: Canada/the US/the UK]? [BUCKETS] Yes No Unsure [RANDOMIZE CARDS] Police and Border Security [DO NOT SHOW HEADER ONSCREEN] Law enforcement (active operations or investigations) Border patrol General surveillance over public spaces (e.g. patrols, crime prevention monitoring) Traffic and accident surveillance Emergency Services [DO NOT SHOW HEADER ONSCREEN] Fire fighting, monitoring, and management Emergency and disaster monitoring Search and rescue Scientific and Environmental [DO NOT SHOW HEADER ONSCREEN] Agricultural and geological surveying Atmospheric weather and climate assessment Oceanographic research Cartography and mapping Other Private Use [DO NOT SHOW HEADER ONSCREEN] Survey and inspection of remote power lines and pipelines Aerial photography Mineral exploration Non Data Uses [DO NOT SHOW HEADER ONSCREEN] Promotion and advertising Agricultural spraying Package delivery (e.g. delivering small online purchases like books) 5

Section 2: What Drones Are, How they are Being Used, and Scenarios The goal of this question is to gain an understanding of how comfortable people are with the data collection capabilities of drones, and then place this ability within specific institutions and for specific uses. A previous poll of Canadians conducted in Jan 2013 by Phoenix found that people were very comfortable with almost all institutions using drones in Canada. Our hope was to bring greater complexity to the question by inserting the capacity of data collection and the reasons that various institutions would be using UAV. [Question format: VISUAL SINGLE CHOICE GRID] Q2_Unspecified_UAV_Use [Programmer based on cell, replace question text in square brackets] To what extent do you support or oppose each of the following groups collecting or identifying information in [based on country: Canada/the US/the UK] [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] Law enforcement Government intelligence services/agencies Government border/coastal security organizations Private investigators Industry and private companies Individuals / hobbyists Universities and academic researchers Emergency responders (Fire / Ambulance) Journalists and media [Research note: Keep in mind the sample audience consists of members from a market research panel. Members opt-in to regularly receive online surveys.] 6

[Programmer: Show question 3a-c all on one page, randomize order of a-d on page.] [Question format: VISUAL SINGLE CHOICE GRID] Q3a_Specified_LawEnforce_Use [Programmer based on cell, replace question text in square brackets] This question is about law enforcement in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose law enforcement in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] To issue speeding tickets For crowd control at political demonstrations For personal identification at political demonstrations For crowd control at sporting events For personal identification at sporting events In hostage situations In routine city patrols Monitoring individuals during criminal investigations At the Pan Am Games in 2015 Finding missing persons Traffic collision reconstruction Disaster response Routine emergency response (fire, medical, etc.) Locating objects such as suspicious packages or potential explosives Automated-license plate recognition 7

[Question format: VISUAL SINGLE CHOICE GRID] Q3b_Specified_Industry_Use [Programmer based on cell, replace question text in square brackets] This question is about Industry and Private Companies in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose Industry and Private Companies in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] For market research and advertising For corporate security purposes For private security purposes For personal security purposes To investigate, survey, and patrol mining, fishing, or oil extraction areas 8

[Question format: VISUAL SINGLE CHOICE GRID] Q3c_Specified_Industry_Use [Programmer based on cell, replace question text in square brackets] This question is about Government Border/Coastal Security Organizations in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL]. To what extent do you support or oppose Government Border/Coastal Security Organizations in [based on country: Canada/the US/the UK] collecting or identifying information [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] for each of the following purposes? Please use a scale from 1 10 where 1 means Oppose Completely and 10 means Support Completely. [COLUMNS] 1 Oppose Completely 10 Support Completely [RANDOMIZE ROWS] To help with search and rescue (Canadian Border Services) for border patrol, including the patrolling of the arctic [ask in Canada only] (United States government) for patrolling along the US/Canadian border [ask in Canada and US only] (United States government) for patrolling across both sides of the US/Canadian border (Canadian government) for patrolling along the US/Canadian border [ask in Canada and US only] (Canadian government) for patrolling across both sides of the US/Canadian border [ask in Canada and US only] (UK government) for patrolling along the UK/French border [ask in UK only] (UK government) for patrolling across both sides of the UK/French border [ask in UK only] (French government) for patrolling along the UK/French border [ask in UK only] (French government) for patrolling across both sides of the UK/French border [ask in UK only] 9

[Question format: VISUAL SINGLE CHOICE GRID] Q4_Practices [Programmer based on cell, replace question text in square brackets] Regardless of who collects the information, or for what purpose, to what extent do you support or oppose [using piloted aircraft / using unmanned aerial vehicles / using autonomous unmanned aerial vehicles / EMPTY FOR CONTROL] in each of the following scenarios? Collecting or identifying information [RANDOMIZE ROWS] Using an aerial vehicle that is flying so high, or is so small, that you cannot see it Using an aerial vehicle that can see into your home through the use of infrared sensors And then sharing your data with the United States government or US Department of Homeland Security And then sharing your data with the Canadian government [Ask in Canada and US only] And then sharing your data with the UK government [Ask in UK only] And then sharing your data with the French government [Ask in UK only] [COLUMNS] 1 Oppose completely 10 Support completely 10

CODEBOOK - CANADA Number of cases = 3045 Number of variables = 85 DEMOGRAPHIC AND GEOGRAPHIC VARIABLES gender Position 2 Gender 1 Male 1537 50.5% 2 Female 1508 49.5% Q5_Federal_Vote_2011 Position 3 Did you vote in the last FEDERAL election in May 2011? 1 Yes 2566 84.3% 2 No 479 15.7% Q6_Federal_PartyChoice_2011 Missing Position 4 Who did you vote for in the last FEDERAL Election? 1 Conservative Party of Canada 968 31.8% 2 Liberal Party of Canada 488 16.0% 3 New Democratic Party 780 25.6% 4 Green Party of Canada 109 3.6% 5 Bloc Québécois 154 5.1% 6 Other 66 2.2% System 480 15.8% Age_Rollup_broad Position 5 Age_Rollup_broad 1 Under 18 0 0.0% 2 18-34 691 22.7% 3 35-54 1262 41.4% 4 55+ 1092 35.9% 11

Income Missing Position 6 Income 1 <$50K 1098 36.1% 2 $50-99K 994 32.6% 3 $100K+ 526 17.3% 4 DK/REF 427 14.0% HH_Income Position 7 Household Income 1 Less than $25,000 342 11.2% 2 $25,000 to less than $35,000 269 8.8% 3 $35,000 to less than $50,000 487 16.0% 4 $50,000 to less than $75,000 560 18.4% 5 $75,000 to less than $100,000 434 14.3% 6 $100,000 to less than $125,000 230 7.6% Missing 7 $125,000 or more 296 9.7% 8 Don't know/prefer not to say 427 14.0% Education_Level Position 8 Education 1 Elementary/grade school or some high school 281 9.2% 2 High school graduate 913 30.0% 3 Some college / technical school 332 10.9% 4 Completed college / technical school 611 20.1% 5 Some university 200 6.6% 6 University undergraduate degree 435 14.3% 7 Some post-graduate school 79 2.6% 8 Post-graduate degree 194 6.4% 12

Region_Rollup Position 9 Region_Rollup 1 BC 398 13.1% 2 Alberta 302 9.9% 3 SK 116 3.8% 4 MB 104 3.4% 5 ON 1126 37.0% 6 QC 733 24.1% 7 Atlantic 266 8.7% 8 Territories 0 0.0% MACRO_REGION Position 10 MACRO_REGION 1 Vancouver 196 6.4% 2 BC Other 202 6.6% 3 Calgary 99 3.3% 4 Edmonton 111 3.6% 5 AB Other 92 3.0% 6 Regina / Saskatoon 64 2.1% 7 SK Other 52 1.7% 8 Winnipeg 72 2.4% 9 MB Other 32 1.1% 10 Toronto 421 13.8% 11 Ottawa - Hull 94 3.1% 12 ON Other 611 20.1% 13 Montréal 342 11.2% 14 Québec 91 3.0% 15 QC Other 300 9.9% 16 Halifax 57 1.9% 17 ATL Other 209 6.9% 18 North 0 0.0% Home_Ownership Position 11 Home Ownership 1 Own 2078 68.2% 2 Rent 885 29.1% 3 Other 82 2.7% 13

Working_Status Position 12 1 Employment Status Employed / self-employed full-time (30 or more hours per week) 1329 43.6% 2 Employed / self-employed part-time (fewer than 30 hours per week) 296 9.7% 3 Full-time student 165 5.4% 4 Homemaker 191 6.3% 5 Retired 719 23.6% 6 Currently looking for work 144 4.7% 7 Not working for medical reasons 134 4.4% 8 Other 67 2.2% Marital_Status Missing Position 13 Marital status 1 Single, never married 635 20.9% 2 Common law 389 12.8% 3 Civil partnership 59 1.9% 4 Married 1429 46.9% 5 Separated 103 3.4% 6 Divorced 214 7.0% 7 Widowed 101 3.3% System 115 3.8% HHKids Missing Position 14 HHKids 1 Yes 942 30.9% 2 No 2004 65.8% System 99 3.3% Urban_Rural Position 15 Urban_Rural 1 2497 82.0% 2 548 18.0% 14

Country Position 16 Country 1 Canada 3045 100.0% 2 US 0 0.0% 3 UK 0 0.0% Country_Pipe Position 18 Country_Pipe 1 Canada 3045 100.0% 2 the US 0 0.0% 3 the UK 0 0.0% Cell Position 17 Cell 1 Piloted Aircraft 761 25.0% 2 Unmanned Aerial Vehicles 761 25.0% 3 Autonomous Unmanned Aerial Vehicles 762 25.0% 4 Control 761 25.0% Cell_Pipe1 Position 19 Cell_Pipe1 1 piloted aircraft 761 25.0% 2 unmanned aerial vehicles 761 25.0% 3 autonomous unmanned aerial vehicles 762 25.0% 4 761 25.0% Cell_Pipe2 Position 20 Cell_Pipe2 1 using piloted aircraft 761 25.0% 2 using unmanned aerial vehicles 761 25.0% 3 using autonomous unmanned aerial vehicles 762 25.0% 4 761 25.0% 15

GENERAL AWARENESS Q1_General_Awareness_0 Position 21 Law enforcement (active operations or investigations) 1 Yes 1755 57.6% 2 No 432 14.2% 3 Unsure 858 28.2% Q1_General_Awareness_1 Position 22 Border patrol 1 Yes 1801 59.1% 2 No 349 11.5% 3 Unsure 895 29.4% Q1_General_Awareness_2 Position 23 General surveillance over public spaces (e.g. patrols, crime prevention monitoring) 1 Yes 1520 49.9% 2 No 544 17.9% 3 Unsure 981 32.2% Q1_General_Awareness_3 Position 24 Traffic and accident surveillance 1 Yes 1827 60.0% 2 No 434 14.3% 3 Unsure 784 25.7% Q1_General_Awareness_4 Position 25 Fire fighting, monitoring, and management 1 Yes 1712 56.2% 2 No 410 13.5% 3 Unsure 923 30.3% 16

Q1_General_Awareness_5 Position 26 Emergency and disaster monitoring 1 Yes 1852 60.8% 2 No 309 10.1% 3 Unsure 884 29.0% Q1_General_Awareness_6 Position 27 Search and rescue 1 Yes 1942 63.8% 2 No 349 11.5% 3 Unsure 754 24.8% Q1_General_Awareness_7 Position 28 Geological surveying 1 Yes 1753 57.6% 2 No 320 10.5% 3 Unsure 972 31.9% Q1_General_Awareness_8 Position 29 Atmospheric weather and climate assessment 1 Yes 1971 64.7% 2 No 273 9.0% 3 Unsure 801 26.3% Q1_General_Awareness_9 Position 30 Oceanographic research 1 Yes 1534 50.4% 2 No 412 13.5% 3 Unsure 1099 36.1% 17

Q1_General_Awareness_10 Position 31 Cartography and mapping 1 Yes 1886 61.9% 2 No 276 9.1% 3 Unsure 883 29.0% Q1_General_Awareness_11 Position 32 Survey and inspection of remote power lines and pipelines 1 Yes 1652 54.3% 2 No 333 10.9% 3 Unsure 1060 34.8% Q1_General_Awareness_12 Position 33 Aerial photography 1 Yes 2056 67.5% 2 No 295 9.7% 3 Unsure 694 22.8% Q1_General_Awareness_13 Position 34 Mineral exploration 1 Yes 1349 44.3% 2 No 499 16.4% 3 Unsure 1197 39.3% Q1_General_Awareness_14 Position 35 Agricultural surveying 1 Yes 1567 51.5% 2 No 385 12.6% 3 Unsure 1093 35.9% 18

Q1_General_Awareness_15 Position 36 Promotion and advertising 1 Yes 1090 35.8% 2 No 909 29.9% 3 Unsure 1046 34.4% Q1_General_Awareness_16 Position 37 Agricultural spraying 1 Yes 1360 44.7% 2 No 624 20.5% 3 Unsure 1061 34.8% Q1_General_Awareness_17 Position 38 Package delivery (e.g. delivering small online purchases like books) 1 Yes 967 31.8% 2 No 1147 37.7% 3 Unsure 931 30.6% 19

UNSPECIFIED UAV USE Q2_Unspecified_UAV_Use_0 Position 39 Law enforcement 1 1 - Oppose Completely 218 7.2% 2 2 61 2.0% 3 3 104 3.4% 4 4 109 3.6% 5 5 408 13.4% 6 6 259 8.5% 7 7 330 10.8% 8 8 406 13.3% 9 9 294 9.7% 10 10 - Support Completely 856 28.1% Q2_Unspecified_UAV_Use_1 Position 40 Government intelligence services/agencies 1 1 - Oppose Completely 377 12.4% 2 2 114 3.7% 3 3 134 4.4% 4 4 174 5.7% 5 5 555 18.2% 6 6 310 10.2% 7 7 318 10.4% 8 8 349 11.5% 9 9 195 6.4% 10 10 - Support Completely 519 17.0% 20

Q2_Unspecified_UAV_Use_2 Position 41 Government border/coastal security organizations 1 1 - Oppose Completely 193 6.3% 2 2 55 1.8% 3 3 84 2.8% 4 4 108 3.5% 5 5 398 13.1% 6 6 249 8.2% 7 7 325 10.7% 8 8 420 13.8% 9 9 294 9.7% 10 10 - Support Completely 919 30.2% Q2_Unspecified_UAV_Use_3 Position 42 Private investigators 1 1 - Oppose Completely 765 25.1% 2 2 234 7.7% 3 3 289 9.5% 4 4 235 7.7% 5 5 607 19.9% 6 6 276 9.1% 7 7 221 7.3% 8 8 152 5.0% 9 9 74 2.4% 10 10 - Support Completely 192 6.3% 21

Q2_Unspecified_UAV_Use_4 Position 43 Industry and private companies 1 1 - Oppose Completely 641 21.1% 2 2 237 7.8% 3 3 256 8.4% 4 4 241 7.9% 5 5 635 20.9% 6 6 274 9.0% 7 7 236 7.8% 8 8 214 7.0% 9 9 87 2.9% 10 10 - Support Completely 224 7.4% Q2_Unspecified_UAV_Use_5 Position 44 Individuals / hobbyists 1 1 - Oppose Completely 801 26.3% 2 2 231 7.6% 3 3 268 8.8% 4 4 204 6.7% 5 5 604 19.8% 6 6 253 8.3% 7 7 190 6.2% 8 8 182 6.0% 9 9 83 2.7% 10 10 - Support Completely 229 7.5% 22

Q2_Unspecified_UAV_Use_6 Position 45 Universities and academic researchers 1 1 - Oppose Completely 265 8.7% 2 2 94 3.1% 3 3 158 5.2% 4 4 130 4.3% 5 5 586 19.2% 6 6 320 10.5% 7 7 370 12.2% 8 8 366 12.0% 9 9 226 7.4% 10 10 - Support Completely 530 17.4% Q2_Unspecified_UAV_Use_7 Position 46 Emergency responders (Fire / Ambulance) 1 1 - Oppose Completely 110 3.6% 2 2 24.8% 3 3 47 1.5% 4 4 53 1.7% 5 5 286 9.4% 6 6 158 5.2% 7 7 259 8.5% 8 8 384 12.6% 9 9 341 11.2% 10 10 - Support Completely 1383 45.4% 23

Q2_Unspecified_UAV_Use_8 Position 47 Journalists and media 1 1 - Oppose Completely 620 20.4% 2 2 211 6.9% 3 3 232 7.6% 4 4 212 7.0% 5 5 607 19.9% 6 6 303 10.0% 7 7 284 9.3% 8 8 232 7.6% 9 9 91 3.0% 10 10 - Support Completely 253 8.3% 24

SPECIFIED LAW ENFORCEMENT USE Q3a_Specified_LawEnforce_Use_0 Position 48 To issue speeding tickets 1 1 - Oppose Completely 730 24.0% 2 2 166 5.5% 3 3 204 6.7% 4 4 159 5.2% 5 5 512 16.8% 6 6 259 8.5% 7 7 251 8.2% 8 8 202 6.6% 9 9 118 3.9% 10 10 - Support Completely 444 14.6% Q3a_Specified_LawEnforce_Use_1 Position 49 For crowd control at political demonstrations 1 1 - Oppose Completely 559 18.4% 2 2 155 5.1% 3 3 170 5.6% 4 4 176 5.8% 5 5 460 15.1% 6 6 286 9.4% 7 7 274 9.0% 8 8 278 9.1% 9 9 165 5.4% 10 10 - Support Completely 522 17.1% 25

Q3a_Specified_LawEnforce_Use_2 Position 50 For personal identification at political demonstrations 1 1 - Oppose Completely 790 25.9% 2 2 192 6.3% 3 3 207 6.8% 4 4 177 5.8% 5 5 489 16.1% 6 6 239 7.8% 7 7 244 8.0% 8 8 190 6.2% 9 9 113 3.7% 10 10 - Support Completely 404 13.3% Q3a_Specified_LawEnforce_Use_3 Position 51 For crowd control at sporting events 1 1 - Oppose Completely 453 14.9% 2 2 143 4.7% 3 3 202 6.6% 4 4 174 5.7% 5 5 523 17.2% 6 6 301 9.9% 7 7 290 9.5% 8 8 292 9.6% 9 9 168 5.5% 10 10 - Support Completely 499 16.4% 26

Q3a_Specified_LawEnforce_Use_4 Position 52 For personal identification at sporting events 1 1 - Oppose Completely 751 24.7% 2 2 212 7.0% 3 3 260 8.5% 4 4 190 6.2% 5 5 531 17.4% 6 6 236 7.8% 7 7 227 7.5% 8 8 205 6.7% 9 9 101 3.3% 10 10 - Support Completely 332 10.9% Q3a_Specified_LawEnforce_Use_5 Position 53 In hostage situations 1 1 - Oppose Completely 106 3.5% 2 2 28.9% 3 3 41 1.3% 4 4 72 2.4% 5 5 271 8.9% 6 6 163 5.4% 7 7 229 7.5% 8 8 356 11.7% 9 9 366 12.0% 10 10 - Support Completely 1413 46.4% 27

Q3a_Specified_LawEnforce_Use_6 Position 54 In routine city patrols 1 1 - Oppose Completely 488 16.0% 2 2 158 5.2% 3 3 200 6.6% 4 4 167 5.5% 5 5 543 17.8% 6 6 321 10.5% 7 7 270 8.9% 8 8 261 8.6% 9 9 157 5.2% 10 10 - Support Completely 480 15.8% Q3a_Specified_LawEnforce_Use_7 Position 55 Monitoring individuals during criminal investigations 1 1 - Oppose Completely 249 8.2% 2 2 87 2.9% 3 3 121 4.0% 4 4 131 4.3% 5 5 421 13.8% 6 6 272 8.9% 7 7 284 9.3% 8 8 390 12.8% 9 9 252 8.3% 10 10 - Support Completely 838 27.5% 28

Q3a_Specified_LawEnforce_Use_8 Position 56 At the Pan Am Games in 2015 1 1 - Oppose Completely 333 10.9% 2 2 98 3.2% 3 3 156 5.1% 4 4 140 4.6% 5 5 489 16.1% 6 6 278 9.1% 7 7 265 8.7% 8 8 297 9.8% 9 9 232 7.6% 10 10 - Support Completely 757 24.9% Q3a_Specified_LawEnforce_Use_9 Position 57 Finding missing persons 1 1 - Oppose Completely 84 2.8% 2 2 15.5% 3 3 42 1.4% 4 4 40 1.3% 5 5 258 8.5% 6 6 125 4.1% 7 7 198 6.5% 8 8 346 11.4% 9 9 342 11.2% 10 10 - Support Completely 1595 52.4% 29

Q3a_Specified_LawEnforce_Use_10 Position 58 Traffic collision reconstruction 1 1 - Oppose Completely 176 5.8% 2 2 68 2.2% 3 3 113 3.7% 4 4 112 3.7% 5 5 462 15.2% 6 6 290 9.5% 7 7 338 11.1% 8 8 368 12.1% 9 9 272 8.9% 10 10 - Support Completely 846 27.8% Q3a_Specified_LawEnforce_Use_11 Position 59 Disaster response 1 1 - Oppose Completely 91 3.0% 2 2 20.7% 3 3 26.9% 4 4 47 1.5% 5 5 249 8.2% 6 6 140 4.6% 7 7 233 7.7% 8 8 348 11.4% 9 9 347 11.4% 10 10 - Support Completely 1544 50.7% 30

Q3a_Specified_LawEnforce_Use_12 Position 60 Routine emergency response (fire, medical, etc.) 1 1 - Oppose Completely 132 4.3% 2 2 46 1.5% 3 3 68 2.2% 4 4 67 2.2% 5 5 335 11.0% 6 6 188 6.2% 7 7 257 8.4% 8 8 380 12.5% 9 9 316 10.4% 10 10 - Support Completely 1256 41.2% Q3a_Specified_LawEnforce_Use_13 Position 61 Locating objects such as suspicious packages or potential explosives 1 1 - Oppose Completely 122 4.0% 2 2 34 1.1% 3 3 62 2.0% 4 4 84 2.8% 5 5 320 10.5% 6 6 210 6.9% 7 7 293 9.6% 8 8 365 12.0% 9 9 343 11.3% 10 10 - Support Completely 1212 39.8% 31

Q3a_Specified_LawEnforce_Use_14 Position 62 Automated-license plate recognition 1 1 - Oppose Completely 557 18.3% 2 2 149 4.9% 3 3 171 5.6% 4 4 169 5.6% 5 5 547 18.0% 6 6 253 8.3% 7 7 255 8.4% 8 8 256 8.4% 9 9 142 4.7% 10 10 - Support Completely 546 17.9% 32

SPECIFIED INDUSTRY USE INDUSTRY AND PRIVATE COMPANIES Q3b_Specified_Industry_Use_0 Position 63 For market research and advertising 1 1 - Oppose Completely 874 28.7% 2 2 236 7.8% 3 3 252 8.3% 4 4 231 7.6% 5 5 591 19.4% 6 6 252 8.3% 7 7 214 7.0% 8 8 167 5.5% 9 9 49 1.6% 10 10 - Support Completely 179 5.9% Q3b_Specified_Industry_Use_1 Position 64 For corporate security purposes 1 1 - Oppose Completely 603 19.8% 2 2 191 6.3% 3 3 218 7.2% 4 4 225 7.4% 5 5 603 19.8% 6 6 320 10.5% 7 7 270 8.9% 8 8 246 8.1% 9 9 104 3.4% 10 10 - Support Completely 265 8.7% 33

Q3b_Specified_Industry_Use_2 Position 65 For private security purposes 1 1 - Oppose Completely 684 22.5% 2 2 217 7.1% 3 3 228 7.5% 4 4 237 7.8% 5 5 568 18.7% 6 6 297 9.8% 7 7 244 8.0% 8 8 199 6.5% 9 9 108 3.5% 10 10 - Support Completely 263 8.6% Q3b_Specified_Industry_Use_3 Position 66 For personal security purposes 1 1 - Oppose Completely 673 22.1% 2 2 204 6.7% 3 3 218 7.2% 4 4 216 7.1% 5 5 560 18.4% 6 6 284 9.3% 7 7 266 8.7% 8 8 226 7.4% 9 9 103 3.4% 10 10 - Support Completely 295 9.7% 34

Q3b_Specified_Industry_Use_4 Position 67 To investigate, survey, and patrol mining, fishing, or oil extraction areas 1 1 - Oppose Completely 307 10.1% 2 2 122 4.0% 3 3 133 4.4% 4 4 171 5.6% 5 5 542 17.8% 6 6 318 10.4% 7 7 333 10.9% 8 8 356 11.7% 9 9 210 6.9% 10 10 - Support Completely 553 18.2% Q3b_Specified_Industry_Use_5 Position 68 Agricultural surveying 1 1 - Oppose Completely 262 8.6% 2 2 89 2.9% 3 3 135 4.4% 4 4 150 4.9% 5 5 563 18.5% 6 6 328 10.8% 7 7 346 11.4% 8 8 372 12.2% 9 9 224 7.4% 10 10 - Support Completely 576 18.9% 35

Q3b_Specified_Industry_Use_6 Position 69 Mineral exploration 1 1 - Oppose Completely 324 10.6% 2 2 109 3.6% 3 3 149 4.9% 4 4 197 6.5% 5 5 544 17.9% 6 6 320 10.5% 7 7 382 12.5% 8 8 323 10.6% 9 9 184 6.0% 10 10 - Support Completely 513 16.8% Q3b_Specified_Industry_Use_7 Position 70 Survey and inspection of remote power lines and pipelines 1 1 - Oppose Completely 223 7.3% 2 2 66 2.2% 3 3 105 3.4% 4 4 132 4.3% 5 5 459 15.1% 6 6 278 9.1% 7 7 329 10.8% 8 8 376 12.3% 9 9 267 8.8% 10 10 - Support Completely 810 26.6% 36

SPECIFIED INDUSTRY USE GOVERNMENT BORDER/COASTAL SECURITY ORGANIZATIONS Q3c_Specified_Industry_Use_0 Position 71 To help with search and rescue 1 1 - Oppose Completely 80 2.6% 2 2 21.7% 3 3 33 1.1% 4 4 48 1.6% 5 5 262 8.6% 6 6 124 4.1% 7 7 198 6.5% 8 8 332 10.9% 9 9 331 10.9% 10 10 - Support Completely 1616 53.1% Q3c_Specified_Industry_Use_1 Position 72 (Canadian Border Services) for border patrol, including the patrolling of the arctic 1 1 - Oppose Completely 164 5.4% 2 2 62 2.0% 3 3 67 2.2% 4 4 73 2.4% 5 5 388 12.7% 6 6 226 7.4% 7 7 289 9.5% 8 8 347 11.4% 9 9 283 9.3% 10 10 - Support Completely 1146 37.6% 37

Q3c_Specified_Industry_Use_2 Position 73 (United States government) for patrolling ALONG the US/Canadian border 1 1 - Oppose Completely 306 10.0% 2 2 94 3.1% 3 3 112 3.7% 4 4 111 3.6% 5 5 431 14.2% 6 6 219 7.2% 7 7 285 9.4% 8 8 316 10.4% 9 9 233 7.7% 10 10 - Support Completely 938 30.8% Q3c_Specified_Industry_Use_3 Position 74 (United States government) for patrolling ACROSS both sides of the US/Canadian border 1 1 - Oppose Completely 578 19.0% 2 2 123 4.0% 3 3 144 4.7% 4 4 130 4.3% 5 5 420 13.8% 6 6 215 7.1% 7 7 254 8.3% 8 8 264 8.7% 9 9 197 6.5% 10 10 - Support Completely 720 23.6% 38

Q3c_Specified_Industry_Use_4 Position 75 (Canadian government) for patrolling ALONG the US/Canadian border 1 1 - Oppose Completely 196 6.4% 2 2 68 2.2% 3 3 84 2.8% 4 4 88 2.9% 5 5 405 13.3% 6 6 192 6.3% 7 7 305 10.0% 8 8 344 11.3% 9 9 270 8.9% 10 10 - Support Completely 1093 35.9% Q3c_Specified_Industry_Use_5 Position 76 (Canadian government) for patrolling ACROSS both sides of the US/Canadian border 1 1 - Oppose Completely 414 13.6% 2 2 103 3.4% 3 3 104 3.4% 4 4 121 4.0% 5 5 424 13.9% 6 6 222 7.3% 7 7 270 8.9% 8 8 294 9.7% 9 9 237 7.8% 10 10 - Support Completely 856 28.1% 39

Q3c_Specified_Industry_Use_6 Missing Position 77 (UK government) for patrolling ALONG the UK/French border 1 1 - Oppose Completely 0 0.0% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 5 5 0 0.0% 6 6 0 0.0% 7 7 0 0.0% 8 8 0 0.0% 9 9 0 0.0% 10 10 - Support Completely 0 0.0% System 3045 100.0% Q3c_Specified_Industry_Use_7 Missing Position 78 (UK government) for patrolling ACROSS both sides of the UK/French border 1 1 - Oppose Completely 0 0.0% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 5 5 0 0.0% 6 6 0 0.0% 7 7 0 0.0% 8 8 0 0.0% 9 9 0 0.0% 10 10 - Support Completely 0 0.0% System 3045 100.0% 40

PRACTICES Q4_Practices_0 Position 79 Using an aerial vehicle that is flying so high, or is so small, that you cannot see it 1 1 - Oppose Completely 1072 35.2% 2 2 189 6.2% 3 3 197 6.5% 4 4 157 5.2% 5 5 573 18.8% 6 6 215 7.1% 7 7 175 5.7% 8 8 147 4.8% 9 9 67 2.2% 10 10 - Support Completely 253 8.3% Q4_Practices_1 Position 80 Using an aerial vehicle that can "see" into your home through the use of infrared sensors 1 1 - Oppose Completely 1910 62.7% 2 2 217 7.1% 3 3 146 4.8% 4 4 98 3.2% 5 5 298 9.8% 6 6 99 3.3% 7 7 81 2.7% 8 8 71 2.3% 9 9 27.9% 10 10 - Support Completely 98 3.2% 41

Q4_Practices_2 Position 81 And then sharing your data with the United States government or US Department of Homeland Security 1 1 - Oppose Completely 1531 50.3% 2 2 217 7.1% 3 3 144 4.7% 4 4 134 4.4% 5 5 362 11.9% 6 6 159 5.2% 7 7 136 4.5% 8 8 116 3.8% 9 9 53 1.7% 10 10 - Support Completely 193 6.3% Q4_Practices_3 Position 82 And then sharing your data with the Canadian government 1 1 - Oppose Completely 1250 41.1% 2 2 212 7.0% 3 3 164 5.4% 4 4 172 5.6% 5 5 435 14.3% 6 6 198 6.5% 7 7 165 5.4% 8 8 137 4.5% 9 9 70 2.3% 10 10 - Support Completely 242 7.9% 42

Q4_Practices_4 Missing Position 83 And then sharing your data with the UK government 1 1 - Oppose Completely 0 0.0% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 5 5 0 0.0% 6 6 0 0.0% 7 7 0 0.0% 8 8 0 0.0% 9 9 0 0.0% 10 10 - Support Completely 0 0.0% System 3045 100.0% Q4_Practices_5 Missing Position 84 And then sharing your data with the French government 1 1 - Oppose Completely 0 0.0% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 5 5 0 0.0% 6 6 0 0.0% 7 7 0 0.0% 8 8 0 0.0% 9 9 0 0.0% 10 10 - Support Completely 0 0.0% System 3045 100.0% WEIGHT wgt Position 85 Value Weight N 3045 Missing 0 43

CODEBOOK UNITED STATES Number of cases = 3022 Number of variables = 98 DEMOGRAPHIC AND GEOGRAPHIC VARIABLES Marital_Status Missing Position 2 Which of these best describes your marital status? 1 Single, never married 719 23.8% 2 Living with a significant other 198 6.6% 3 Married/Civil Partnership 1536 50.8% 4 Separated 51 1.7% 5 Divorced 373 12.3% 6 Widowed 144 4.8% System 1.0% Gender Position 3 Gender 1 Male 1515 50.1% 2 Female 1507 49.9% Age Position 4 AGE 1 18-34 730 24.2% 2 35-54 977 32.3% 3 55+ 1315 43.5% Age_Rollup_broad Position 5 Age_Rollup_broad 1 Under 18 0 0.0% 2 18-34 729 24.1% 3 35-54 977 32.3% 4 55+ 1316 43.5% 44

agesex Position 6 Age_Gender 1 Male 18-34 398 13.2% 2 Male 35-54 504 16.7% 3 Male 55+ 613 20.3% 4 Female 18-34 332 11.0% 5 Female 35-54 473 15.7% 6 Female 55+ 702 23.2% Education_Level Position 7 Education Please select the highest level of education you've completed. 1 Less than 9th grade / 9th to 12th grade, no diploma 75 2.5% 2 High school graduate (includes equivalency) 582 19.3% 3 Some college, no degree 815 27.0% 4 Associate's degree 376 12.4% 5 Bachelor's degree 781 25.8% 6 Graduate or professional degree 393 13.0% Edu Position 8 Education 1 <=HS 657 21.7% 2 Coll/Associate 1191 39.4% 3 Univ+ 1174 38.8% HH_Income_MERGED Missing Position 9 HH_Income_MERGED 1 Less than $25,000 634 21.0% 2 $25,000 to $49,999 817 27.0% 3 $50,000 to $74,999 558 18.5% 4 $75,000 to $99,999 397 13.1% 5 $100,000 to $149,999 266 8.8% 6 $150,000 or more 141 4.7% 7 Prefer not to say 209 6.9% 45

Income Missing Position 10 HH Income 1 <$25K 634 21.0% 2 $25K-<$50K 817 27.0% 3 $50K+ 1362 45.1% 4 Refused 209 6.9% children Position 11 Are there any children living in your household under 18? 1 Yes 866 28.7% 2 No 2156 71.3% HHKids Missing Position 12 HHKids 1 Yes 950 31.4% 2 No 1834 60.7% System 238 7.9% HH_SIZE Position 13 These questions are important to ensure Springboard represents Americans from all demographics and backgrounds. How many people live in your household, including yourself? 1 1 person in household 661 21.9% 2 2 people in household 1098 36.3% 3 3 people in household 573 19.0% 4 4 people in household 389 12.9% 5 5 people in household 193 6.4% 6 6 or more people in household 108 3.6% 46

haskids Position 14 Has Children Under 18 1 Yes 866 28.7% 2 No 2156 71.3% Working_Status Position 15 1 Employment Status Please choose the option that best applies to you. Employed / self-employed full-time (30 or more hours per week) 1178 39.0% 2 Employed / self-employed part-time (fewer than 30 hours per week) 368 12.2% 3 Full-time student 98 3.2% 4 Homemaker 235 7.8% 5 Retired 670 22.2% 6 Currently looking for work 241 8.0% 7 Not working for medical reasons 195 6.5% 8 Other 37 1.2% PID Position 16 Generally speaking, do you think of yourself as a...? 1 Democrat 1084 35.9% 2 Republican 736 24.4% 3 Independent 870 28.8% 4 Not sure 231 7.6% 5 Other 101 3.3% HispanicLatino Position 17 Do you consider yourself to be Hispanic/Latino or of Hispanic/Latino origin? 1 Yes 370 12.2% 2 No 2652 87.8% 47

Race_White Position 18 White 0 Not Selected 596 19.7% 1 Selected 2426 80.3% Race_BlackorAfricanAmerican Position 19 Black or African American 0 Not Selected 2691 89.0% 1 Selected 331 11.0% Race_AmericanIndianorAlaskaNative Position 20 American Indian or Alaska Native 0 Not Selected 2940 97.3% 1 Selected 82 2.7% Race_Asian Position 21 Asian 0 Not Selected 2876 95.2% 1 Selected 146 4.8% Race_NativeHawaiianorOtherPacificIslander Position 22 Native Hawaiian or Other Pacific Islander 0 Not Selected 3014 99.7% 1 Selected 8.3% Race_OtherRace Position 23 Other Race 0 Not Selected 2898 95.9% 1 Selected 124 4.1% 48

Hispanic Position 24 Hispanic/Non-hispanic background 1 Yes 370 12.2% 2 No 2652 87.8% ethnic Position 25 Ethnicity 1 Black 320 10.6% 2 Hispanic 345 11.4% 3 White Only 2112 69.9% 4 Asian/Native American/Other 245 8.1% region Position 26 Census Region_Rollup 1 Northeast 565 18.7% 2 Midwest 671 22.2% 3 South 1068 35.3% 4 West 718 23.8% division Position 27 Census Division_Rollup 1 New England 122 4.0% 2 Middle Atlantic 443 14.7% 3 East North Central 460 15.2% 4 West North Central 211 7.0% 5 South Atlantic 637 21.1% 6 East South Central 133 4.4% 7 West South Central 298 9.9% 8 Mountain 236 7.8% 9 Pacific 482 15.9% 49

Country Position 28 Country 1 Canada 0 0.0% 2 US 3022 100.0% 3 UK 0 0.0% Country_Pipe Position 29 Country_Pipe 1 Canada 0 0.0% 2 the US 3022 100.0% 3 the UK 0 0.0% Intro_Text Position 30 1 Intro_Text These questions are about the use of piloted aircraft in information identification and collection for a range of purposes. Piloted aircraft include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. 760 25.1% 2 3 These questions are about the use of unmanned aerial vehicles in information identification and collection for a range of purposes. Unmanned aerial vehicles also known as drones or remotely piloted vehicles include aerial vehicles such as planes and helicopters, of various sizes, operated by one or more pilots who are not onboard the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. These questions are about the use of autonomous unmanned aerial vehicles in information identification and collection for a range of purposes. Autonomous unmanned aerial vehicles also known as drones include aerial vehicles such as planes and helicopters, of various sizes, operated by an onboard computer without a pilot controlling the aircraft. These questions focus on aircraft that do not carry weapons and are used for information collection purposes only. 751 24.9% 753 24.9% 4 These questions are about information identification and collection for a range of purposes. 758 25.1% 50

Cell Position 31 Cell 1 Piloted Aircraft 760 25.1% 2 Unmanned Aerial Vehicles 751 24.9% 3 Autonomous Unmanned Aerial Vehicles 753 24.9% 4 Control 758 25.1% Cell_Pipe1 Position 32 Cell_Pipe1 1 piloted aircraft 760 25.1% 2 unmanned aerial vehicles 751 24.9% 3 autonomous unmanned aerial vehicles 753 24.9% 4 758 25.1% Cell_Pipe2 Position 33 Cell_Pipe2 1 using piloted aircraft 760 25.1% 2 using unmanned aerial vehicles 751 24.9% 3 using autonomous unmanned aerial vehicles 753 24.9% 4 758 25.1% 51

GENERAL AWARENESS Q1_General_Awareness_0 Position 34 Law enforcement (active operations or investigations) 1 Yes 2132 70.5% 2 No 303 10.0% 3 Unsure 587 19.4% Q1_General_Awareness_1 Position 35 Border patrol 1 Yes 2168 71.7% 2 No 252 8.3% 3 Unsure 602 19.9% Q1_General_Awareness_2 Position 36 General surveillance over public spaces (e.g. patrols, crime prevention monitoring) 1 Yes 1927 63.8% 2 No 395 13.1% 3 Unsure 700 23.2% Q1_General_Awareness_3 Position 37 Traffic and accident surveillance 1 Yes 2025 67.0% 2 No 358 11.8% 3 Unsure 639 21.1% Q1_General_Awareness_4 Position 38 Fire fighting, monitoring, and management 1 Yes 1896 62.7% 2 No 381 12.6% 3 Unsure 745 24.7% 52

Q1_General_Awareness_5 Position 39 Emergency and disaster monitoring 1 Yes 2125 70.3% 2 No 254 8.4% 3 Unsure 643 21.3% Q1_General_Awareness_6 Position 40 Search and rescue 1 Yes 2122 70.2% 2 No 278 9.2% 3 Unsure 622 20.6% Q1_General_Awareness_7 Position 41 Geological surveying 1 Yes 1887 62.4% 2 No 320 10.6% 3 Unsure 815 27.0% Q1_General_Awareness_8 Position 42 Atmospheric weather and climate assessment 1 Yes 2156 71.3% 2 No 269 8.9% 3 Unsure 597 19.8% Q1_General_Awareness_9 Position 43 Oceanographic research 1 Yes 1718 56.8% 2 No 404 13.4% 3 Unsure 900 29.8% 53

Q1_General_Awareness_10 Position 44 Cartography and mapping 1 Yes 1974 65.3% 2 No 302 10.0% 3 Unsure 746 24.7% Q1_General_Awareness_11 Position 45 Survey and inspection of remote power lines and pipelines 1 Yes 1727 57.1% 2 No 354 11.7% 3 Unsure 941 31.1% Q1_General_Awareness_12 Position 46 Aerial photography 1 Yes 2202 72.9% 2 No 253 8.4% 3 Unsure 567 18.8% Q1_General_Awareness_13 Position 47 Mineral exploration 1 Yes 1235 40.9% 2 No 579 19.2% 3 Unsure 1208 40.0% Q1_General_Awareness_14 Position 48 Agricultural surveying 1 Yes 1749 57.9% 2 No 384 12.7% 3 Unsure 889 29.4% 54

Q1_General_Awareness_15 Position 49 Promotion and advertising 1 Yes 1237 40.9% 2 No 898 29.7% 3 Unsure 887 29.4% Q1_General_Awareness_16 Position 50 Agricultural spraying 1 Yes 1541 51.0% 2 No 584 19.3% 3 Unsure 897 29.7% Q1_General_Awareness_17 Position 51 Package delivery (e.g. delivering small online purchases like books) 1 Yes 1217 40.3% 2 No 1071 35.4% 3 Unsure 734 24.3% 55

UNSPECIFIED UAV USE Q2_Unspecified_UAV_Use_0 Position 52 Law enforcement 1 1 - Oppose Completely 202 6.7% 2 2 72 2.4% 3 3 103 3.4% 4 4 120 4.0% 5 5 346 11.4% 6 6 268 8.9% 7 7 304 10.1% 8 8 428 14.2% 9 9 359 11.9% 10 10 - Support Completely 820 27.1% Q2_Unspecified_UAV_Use_1 Position 53 Government intelligence services/agencies 1 1 - Oppose Completely 372 12.3% 2 2 139 4.6% 3 3 143 4.7% 4 4 159 5.3% 5 5 450 14.9% 6 6 292 9.7% 7 7 299 9.9% 8 8 342 11.3% 9 9 289 9.6% 10 10 - Support Completely 537 17.8% 56

Q2_Unspecified_UAV_Use_2 Position 54 Government border/coastal security organizations 1 1 - Oppose Completely 191 6.3% 2 2 63 2.1% 3 3 78 2.6% 4 4 96 3.2% 5 5 377 12.5% 6 6 249 8.2% 7 7 297 9.8% 8 8 383 12.7% 9 9 359 11.9% 10 10 - Support Completely 929 30.7% Q2_Unspecified_UAV_Use_3 Position 55 Private investigators 1 1 - Oppose Completely 643 21.3% 2 2 208 6.9% 3 3 227 7.5% 4 4 206 6.8% 5 5 514 17.0% 6 6 314 10.4% 7 7 273 9.0% 8 8 225 7.4% 9 9 142 4.7% 10 10 - Support Completely 270 8.9% 57

Q2_Unspecified_UAV_Use_4 Position 56 Industry and private companies 1 1 - Oppose Completely 587 19.4% 2 2 243 8.0% 3 3 247 8.2% 4 4 250 8.3% 5 5 531 17.6% 6 6 291 9.6% 7 7 225 7.4% 8 8 235 7.8% 9 9 148 4.9% 10 10 - Support Completely 265 8.8% Q2_Unspecified_UAV_Use_5 Position 57 Individuals / hobbyists 1 1 - Oppose Completely 763 25.2% 2 2 245 8.1% 3 3 240 7.9% 4 4 187 6.2% 5 5 490 16.2% 6 6 258 8.5% 7 7 210 6.9% 8 8 207 6.8% 9 9 116 3.8% 10 10 - Support Completely 306 10.1% 58

Q2_Unspecified_UAV_Use_6 Position 58 Universities and academic researchers 1 1 - Oppose Completely 362 12.0% 2 2 136 4.5% 3 3 169 5.6% 4 4 178 5.9% 5 5 528 17.5% 6 6 322 10.7% 7 7 322 10.7% 8 8 314 10.4% 9 9 246 8.1% 10 10 - Support Completely 445 14.7% Q2_Unspecified_UAV_Use_7 Position 59 Emergency responders (Fire / Ambulance) 1 1 - Oppose Completely 124 4.1% 2 2 37 1.2% 3 3 52 1.7% 4 4 63 2.1% 5 5 271 9.0% 6 6 194 6.4% 7 7 236 7.8% 8 8 381 12.6% 9 9 388 12.8% 10 10 - Support Completely 1276 42.2% 59

Q2_Unspecified_UAV_Use_8 Position 60 Journalists and media 1 1 - Oppose Completely 621 20.5% 2 2 228 7.5% 3 3 214 7.1% 4 4 218 7.2% 5 5 493 16.3% 6 6 328 10.9% 7 7 255 8.4% 8 8 225 7.4% 9 9 161 5.3% 10 10 - Support Completely 279 9.2% 60

SPECIFIED LAW ENFORCEMENT USE Q3a_Specified_LawEnforce_Use_0 Position 61 To issue speeding tickets 1 1 - Oppose Completely 825 27.3% 2 2 190 6.3% 3 3 203 6.7% 4 4 157 5.2% 5 5 390 12.9% 6 6 275 9.1% 7 7 219 7.2% 8 8 248 8.2% 9 9 164 5.4% 10 10 - Support Completely 351 11.6% Q3a_Specified_LawEnforce_Use_1 Position 62 For crowd control at political demonstrations 1 1 - Oppose Completely 508 16.8% 2 2 134 4.4% 3 3 167 5.5% 4 4 139 4.6% 5 5 402 13.3% 6 6 304 10.1% 7 7 309 10.2% 8 8 302 10.0% 9 9 222 7.3% 10 10 - Support Completely 535 17.7% 61

Q3a_Specified_LawEnforce_Use_2 Position 63 For personal identification at political demonstrations 1 1 - Oppose Completely 799 26.4% 2 2 196 6.5% 3 3 204 6.8% 4 4 178 5.9% 5 5 374 12.4% 6 6 242 8.0% 7 7 258 8.5% 8 8 241 8.0% 9 9 170 5.6% 10 10 - Support Completely 360 11.9% Q3a_Specified_LawEnforce_Use_3 Position 64 For crowd control at sporting events 1 1 - Oppose Completely 416 13.8% 2 2 142 4.7% 3 3 169 5.6% 4 4 158 5.2% 5 5 416 13.8% 6 6 301 10.0% 7 7 310 10.3% 8 8 347 11.5% 9 9 214 7.1% 10 10 - Support Completely 549 18.2% 62

Q3a_Specified_LawEnforce_Use_4 Position 65 For personal identification at sporting events 1 1 - Oppose Completely 707 23.4% 2 2 197 6.5% 3 3 211 7.0% 4 4 185 6.1% 5 5 415 13.7% 6 6 271 9.0% 7 7 235 7.8% 8 8 262 8.7% 9 9 183 6.1% 10 10 - Support Completely 356 11.8% Q3a_Specified_LawEnforce_Use_5 Position 66 In hostage situations 1 1 - Oppose Completely 113 3.7% 2 2 38 1.3% 3 3 58 1.9% 4 4 75 2.5% 5 5 223 7.4% 6 6 177 5.9% 7 7 251 8.3% 8 8 404 13.4% 9 9 379 12.5% 10 10 - Support Completely 1304 43.2% 63

Q3a_Specified_LawEnforce_Use_6 Position 67 In routine city patrols 1 1 - Oppose Completely 494 16.3% 2 2 158 5.2% 3 3 159 5.3% 4 4 179 5.9% 5 5 402 13.3% 6 6 283 9.4% 7 7 314 10.4% 8 8 325 10.8% 9 9 199 6.6% 10 10 - Support Completely 509 16.8% Q3a_Specified_LawEnforce_Use_7 Position 68 Monitoring individuals during criminal investigations 1 1 - Oppose Completely 277 9.2% 2 2 99 3.3% 3 3 118 3.9% 4 4 139 4.6% 5 5 364 12.0% 6 6 277 9.2% 7 7 337 11.2% 8 8 359 11.9% 9 9 327 10.8% 10 10 - Support Completely 725 24.0% 64

Q3a_Specified_LawEnforce_Use_8 Position 69 At the Pan Am Games in 2015 1 1 - Oppose Completely 298 9.9% 2 2 87 2.9% 3 3 112 3.7% 4 4 134 4.4% 5 5 474 15.7% 6 6 299 9.9% 7 7 250 8.3% 8 8 372 12.3% 9 9 254 8.4% 10 10 - Support Completely 742 24.6% Q3a_Specified_LawEnforce_Use_9 Position 70 Finding missing persons 1 1 - Oppose Completely 99 3.3% 2 2 35 1.2% 3 3 53 1.8% 4 4 58 1.9% 5 5 209 6.9% 6 6 179 5.9% 7 7 248 8.2% 8 8 363 12.0% 9 9 395 13.1% 10 10 - Support Completely 1383 45.8% 65

Q3a_Specified_LawEnforce_Use_10 Position 71 Traffic collision reconstruction 1 1 - Oppose Completely 226 7.5% 2 2 104 3.4% 3 3 115 3.8% 4 4 101 3.3% 5 5 425 14.1% 6 6 313 10.4% 7 7 337 11.2% 8 8 378 12.5% 9 9 291 9.6% 10 10 - Support Completely 732 24.2% Q3a_Specified_LawEnforce_Use_11 Position 72 Disaster response 1 1 - Oppose Completely 101 3.3% 2 2 41 1.4% 3 3 46 1.5% 4 4 61 2.0% 5 5 235 7.8% 6 6 181 6.0% 7 7 253 8.4% 8 8 356 11.8% 9 9 411 13.6% 10 10 - Support Completely 1337 44.2% 66

Q3a_Specified_LawEnforce_Use_12 Position 73 Routine emergency response (fire, medical, etc.) 1 1 - Oppose Completely 164 5.4% 2 2 57 1.9% 3 3 80 2.6% 4 4 100 3.3% 5 5 301 10.0% 6 6 227 7.5% 7 7 268 8.9% 8 8 381 12.6% 9 9 353 11.7% 10 10 - Support Completely 1091 36.1% Q3a_Specified_LawEnforce_Use_13 Position 74 Locating objects such as suspicious packages or potential explosives 1 1 - Oppose Completely 146 4.8% 2 2 49 1.6% 3 3 67 2.2% 4 4 83 2.7% 5 5 295 9.8% 6 6 207 6.8% 7 7 274 9.1% 8 8 406 13.4% 9 9 361 11.9% 10 10 - Support Completely 1134 37.5% 67

Q3a_Specified_LawEnforce_Use_14 Position 75 Automated-license plate recognition 1 1 - Oppose Completely 573 19.0% 2 2 152 5.0% 3 3 173 5.7% 4 4 166 5.5% 5 5 424 14.0% 6 6 288 9.5% 7 7 263 8.7% 8 8 302 10.0% 9 9 211 7.0% 10 10 - Support Completely 470 15.6% 68

SPECIFIED INDUSTRY USE INDUSTRY AND PRIVATE COMPANIES Q3b_Specified_Industry_Use_0 Position 76 For market research and advertising 1 1 - Oppose Completely 832 27.5% 2 2 227 7.5% 3 3 206 6.8% 4 4 188 6.2% 5 5 447 14.8% 6 6 289 9.6% 7 7 254 8.4% 8 8 186 6.2% 9 9 137 4.5% 10 10 - Support Completely 256 8.5% Q3b_Specified_Industry_Use_1 Position 77 For corporate security purposes 1 1 - Oppose Completely 523 17.3% 2 2 205 6.8% 3 3 180 6.0% 4 4 201 6.7% 5 5 493 16.3% 6 6 302 10.0% 7 7 283 9.4% 8 8 296 9.8% 9 9 196 6.5% 10 10 - Support Completely 343 11.4% 69

Q3b_Specified_Industry_Use_2 Position 78 For private security purposes 1 1 - Oppose Completely 595 19.7% 2 2 202 6.7% 3 3 191 6.3% 4 4 186 6.2% 5 5 513 17.0% 6 6 294 9.7% 7 7 271 9.0% 8 8 251 8.3% 9 9 172 5.7% 10 10 - Support Completely 347 11.5% Q3b_Specified_Industry_Use_3 Position 79 For personal security purposes 1 1 - Oppose Completely 614 20.3% 2 2 199 6.6% 3 3 214 7.1% 4 4 178 5.9% 5 5 474 15.7% 6 6 292 9.7% 7 7 273 9.0% 8 8 261 8.6% 9 9 171 5.7% 10 10 - Support Completely 346 11.4% 70

Q3b_Specified_Industry_Use_4 Position 80 To investigate, survey, and patrol mining, fishing, or oil extraction areas 1 1 - Oppose Completely 339 11.2% 2 2 111 3.7% 3 3 145 4.8% 4 4 150 5.0% 5 5 490 16.2% 6 6 319 10.6% 7 7 320 10.6% 8 8 367 12.1% 9 9 257 8.5% 10 10 - Support Completely 524 17.3% Q3b_Specified_Industry_Use_5 Position 81 Agricultural surveying 1 1 - Oppose Completely 296 9.8% 2 2 85 2.8% 3 3 125 4.1% 4 4 159 5.3% 5 5 452 15.0% 6 6 302 10.0% 7 7 366 12.1% 8 8 362 12.0% 9 9 278 9.2% 10 10 - Support Completely 597 19.8% 71

Q3b_Specified_Industry_Use_6 Position 82 Mineral exploration 1 1 - Oppose Completely 340 11.3% 2 2 105 3.5% 3 3 165 5.5% 4 4 153 5.1% 5 5 488 16.1% 6 6 308 10.2% 7 7 349 11.5% 8 8 360 11.9% 9 9 244 8.1% 10 10 - Support Completely 510 16.9% Q3b_Specified_Industry_Use_7 Position 83 Survey and inspection of remote power lines and pipelines 1 1 - Oppose Completely 249 8.2% 2 2 68 2.3% 3 3 119 3.9% 4 4 111 3.7% 5 5 393 13.0% 6 6 284 9.4% 7 7 286 9.5% 8 8 420 13.9% 9 9 365 12.1% 10 10 - Support Completely 727 24.1% 72

SPECIFIED INDUSTRY USE GOVERNMENT BORDER/COASTAL SECURITY ORGANIZATIONS Q3c_Specified_Industry_Use_0 Position 84 To help with search and rescue 1 1 - Oppose Completely 97 3.2% 2 2 30 1.0% 3 3 37 1.2% 4 4 63 2.1% 5 5 231 7.6% 6 6 186 6.2% 7 7 264 8.7% 8 8 332 11.0% 9 9 375 12.4% 10 10 - Support Completely 1407 46.6% Q3c_Specified_Industry_Use_1 Missing Position 85 (Canadian Border Services) for border patrol, including the patrolling of the arctic 1 1 - Oppose Completely 0 0.0% 2 2 0 0.0% 3 3 0 0.0% 4 4 0 0.0% 5 5 0 0.0% 6 6 0 0.0% 7 7 0 0.0% 8 8 0 0.0% 9 9 0 0.0% 10 10 - Support Completely 0 0.0% System 3022 100.0% 73