CODEBOOK Michigan State of the State 67 1,008 Weight Variable: statewt

Michigan State of the State 67 Page i CONTENTS item page ID1 Case ID 1 R1 Data Record 1 cnty County 2 regn Region 4 randomrob23 Random 1 4 randomrob2 Random 2 4 randomrob3 Random 3 5 randommcan1 Random 4 5 randomnurse2 Random 5 5 randomnurse3 Random 6 5 randomnurse4 Random 7 6 randomnurse5 Random 8 6 randomnurse6 Random 9 6 city2 City 7 listed Sample 7 CC1 Past Financial 7 CC2 Future Financial 8 CC3 Current Financial 8 CC4 Inflation Rate 9 CC5 Unemployment Situation 9 CC6 Business Conditions 10 A1 Most Important Problem Community 11 PO1 Obama Rating 13 PO2 Snyder Rating 13 D10 Trust Federal Govt 14 D11 Trust State Govt 14 D12 Trust Local Govt 15 P4a Governor Legislator Priority 16 roberts1 Rate US Congress 17 roberts2a Rate US House 17 roberts2b Rate US Senate 18 roberts3a Rate Republican-led US House 18 roberts3b Rate Democratic-led US Senate 19 roberts4 Rate MI Legislature 19 CD1 Sex 20 CD2 Year Birth 21 CD3 Education Level 23 CD5a Ethnicity 24 CD4@a Race - White/Caucasian 24 CD4@b Race - African American or Black 24 CD4@c Race - Hawaiian or other Pacific Islander 25 CD4@d Race - Asian 25 CD4@e Race - American Indian or Alaska Native 25 February 13, 2014

Michigan State of the State 67 Page ii item page CD4@f Race - Other 26 CD4@g Race - Refused 26 CD6 Religious Background 27 CD7@a Political Party ID 27 CD7@b Political Party – Republican 28 CD7@c Political Party – Democrat 28 CD7@d Political Party - Independent 29 partyid Political Party - Lean 29 P17@a Political Ideology 30 P17@b Political Ideology - Conservative 30 P17@c Political Ideology - Liberal 31 P17@d Political Ideology - Middle/Neither 31 ideology Political Ideology – Lean 32 CD8 Marital Status 32 married Married 33 CD10 Adults HH 33 CD11 Children HH 34 CD15 Employment 34 UN1 Union Member 35 UN2 Ever Union Member 35 UN3 Union Family 36 inca Income Above $40,000 36 incb Income Below $20,000 37 incca Income Below $30,000 37 incc Income Below $10,000 38 incd Income Above $60,000 38 incf Income Above $50,000 39 incg Income Above $100,000 39 inch Income Above $70,000 40 incha Income Above $90,000 40 inci Income Above $150,000 41 NewIncome R Household Income in 11 Categories (new version) 41 CD26 Phone Lines 42 X1 Type Community 42 zipcode Zipcode 43 demo_county County 44 demo_Detroit Live in Detroit 46 cellular2 City of Residence 46 demo_cell1 Cell Phone 47 demo_cell4 Calls to Cell Phone 48 ta1 Charity - Greater Need 49 ta2 Charity - Effective 49 ta4 Charity - Honest 50 ta5 Charity - Communities 50 ta6 Charity - Exempt 51 v1 Charity - Donate 51 February 13, 2014

Michigan State of the State 67 Page iii item page v10 Charity - Tax Credit 52 v4 Charity - Next Year 52 v5 Volunteer - Last Year 53 newv5 Volunteer - Informal 53 v8 Volunteer - Next Year 54 volopp Volunteer - Opportunities 54 v9 Charity - Volunteer 55 av1 Charity - Family Influence 55 av2 Charity - Friend Influence 56 av3 Charity - School Influence 56 av4 Charity - Co-Worker Influence 57 av5 Charity - Church Influence 57 angel1 Estate - Will 58 angel2a Estate - Charity 58 angel2b Estate - Cash 59 angel2c Estate - Number of Charities 59 angel2d Estate - Endowment 60 angel3a Estate - Future 60 angel3b Estate - Future Charity 61 sd1 Safe Delivery - Familiar 61 sd2 Safe Delivery - Learn 62 sd3 Safe Delivery - Public Awareness 63 mcan0 Children Under 19 64 mcan1 College - Necessary 64 mcan2 College - Affordable 65 mcan3a Oldest Child Age 66 mcan4a College - Oldest Child 67 mcan3b Youngest Child Age 68 mcan4b College - Youngest Child 69 nursing1 Nursing - Children 1 to 5 69 nursing1b Nursing - Selection 70 nursing1c Nursing - Selection 70 nursing2 Nursing - Age 70 nursing2b Nursing - Relationship 71 nursing3 Nursing - Fruit 71 nursing4 Nursing - Vegetable 72 nursing5 Nursing - Self Fruit 72 nursing6 Nursing - Self Vegetable 73 nursing7 Nursing - Sugar Drink 73 nursing8 Nursing - Fruit Juice 74 nursing9 Nursing - Soda 74 nursing10 Nursing - Eat with TV 75 nursing101 Nursing - Eating Habits 75 nursing11 Nursing - Physical Activity Days (Typical) 76 nursing12 Nursing - TV 76 nursing13 Nursing - Video Games 77 February 13, 2014

Michigan State of the State 67 Page iv item page nursing14 Nursing - Physical Activities (Last 7 Days) 77 nursing15a Nursing - Activity - Bike 78 nursing15b Nursing - Activity - Dancing 78 nursing15c Nursing - Activity - Sledding 79 nursing15d Nursing - Activity - Gymnastics 79 nursing15e Nursing - Activity - Hiking 80 nursing15f Nursing - Activity - Jumping Rope 80 nursing15g Nursing - Activity - Backyard games 81 nursing15h Nursing - Activity - Roller skating 81 nursing15i Nursing - Activity - Ice skating 82 nursing15j Nursing - Activity - Running 82 nursing15k Nursing - Activity - Soccer 83 nursing15l Nursing - Activity - Swimming 83 nursing15m Nursing - Activity - Trampoline 84 nursing16 Nursing - Active Video Games 84 nursing17 Nursing - Active Video Game Time 85 nursing18 Nursing - School 85 nursing19 Nursing - Recess 86 nursing20 Nursing - Recess Time 86 inclusion1 Diversity - African American Population 87 inclusion2 Diversity - Muslim Population 89 inclusion3 Diversity - Gay Population 91 inclusion4 Diversity - Income Gap 92 inclusion5 Diversity - Escape Poverty 92 inclusion6 Diversity - Race Wage Gap 93 inclusion7 Diversity - Gender Wage Gap 93 inclusion8 Diversity - Gay Marriage 94 inclusion9 Diversity - Gay Adoption 94 inclusion10 Diversity - African American Hiring 95 inclusion11 Diversity - Female Hiring 95 inclusion13 Diversity - Immigrants 96 inclusion14 Diversity - Photo ID 96 inclusion15 Diversity - Mosque 97 RI Thank you for answering our questions. 97 RIa RI - Email 98 contacts contacts 98 length Interview Length 99 idate Interview Date 101 iwer Interviewer 103 males Males 105 females Females 105 races Respondent Race 105 agecat Rs age in categories 106 adjwt Weight adj for phones adults race gender age within reg 106 msueregn Region code based on MSU Extension Groupings 106 msuewt weight by MSU region 107 February 13, 2014

Michigan State of the State 67 Page v item page statewt Weight for Statewide Estimates 107 rac3 Race 3 categories 107 AGE Age of Respondent 108 imprace Respondent Race with Imputation for missing data 110 source Sample source of Respondent 110 educat4 Respondents Level of Education 110 February 13, 2014

Michigan State of the State 67 Page 1 ID1 Case ID 1,008 cases Data type: character Record/columns: 1/1-5 ________________________________________________________________________________ R1 Data Record % N VALUE LABEL 100.0 1,008 1 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/6 February 13, 2014

Michigan State of the State 67 Page 2 cnty County % N VALUE LABEL 0.0 0 26001 0.1 1 26003 0.6 6 26005 0.4 4 26007 0.1 1 26009 0.0 0 26011 0.1 1 26013 0.2 2 26015 1.1 11 26017 1.3 13 26021 0.6 6 26023 0.6 6 26025 0.3 3 26027 0.0 1 26029 0.2 2 26031 0.8 8 26033 0.5 5 26035 0.7 7 26037 0.1 1 26039 0.7 7 26041 0.1 1 26043 1.2 12 26045 0.6 6 26047 4.2 42 26049 0.2 2 26051 2.0 20 26055 0.3 3 26057 0.3 4 26059 0.5 5 26061 0.7 7 26063 3.7 38 26065 0.9 9 26067 0.1 1 26069 0.2 2 26071 0.4 4 26073 1.5 15 26075 3.7 37 26077 0.1 1 26079 7.0 71 26081 0.0 0 26085 0.8 8 26087 0.3 3 26089 0.7 7 26091 1.0 10 26093 0.0 0 26097 February 13, 2014

Michigan State of the State 67 Page 3 8.1 82 26099 0.3 3 26101 0.8 8 26103 0.3 3 26105 0.4 4 26107 1.1 11 26111 0.2 2 26113 1.0 11 26115 0.8 8 26117 0.2 2 26119 1.5 15 26121 0.3 3 26123 16.0 162 26125 0.4 4 26127 0.1 1 26129 0.0 0 26131 0.4 4 26133 0.1 1 26135 0.2 2 26137 2.1 21 26139 0.0 0 26141 0.0 0 26143 2.6 27 26145 1.9 19 26147 0.6 6 26149 0.1 1 26151 0.8 8 26155 0.3 3 26157 0.2 2 26159 3.6 36 26161 16.1 162 26163 0.3 3 26165 ----- ----- 100.0 1,008 cases Data type: numeric Record/columns: 1/7-11 February 13, 2014

Michigan State of the State 67 Page 4 regn Region % N VALUE LABEL 3.3 33 1 UPPER PENNINSULA 5.1 51 2 NORTHERN MICHIGAN 15.3 154 3 WEST CENTRAL 8.8 88 4 EAST CENTRAL 14.0 141 5 SOUTHWEST MICHIGAN 46.6 469 6 SOUTHEAST MICHIGAN 7.0 70 7 DETROIT ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/12 ________________________________________________________________________________ randomrob23 Random 1 % N VALUE LABEL 47.2 476 1 52.8 532 2 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/13 ________________________________________________________________________________ randomrob2 Random 2 % N VALUE LABEL 51.0 514 1 49.0 494 2 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/14 February 13, 2014

Michigan State of the State 67 Page 5 randomrob3 Random 3 % N VALUE LABEL 49.8 502 1 50.2 506 2 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/15 ________________________________________________________________________________ randommcan1 Random 4 % N VALUE LABEL 47.6 480 1 52.4 528 2 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/16 ________________________________________________________________________________ randomnurse2 Random 5 % N VALUE LABEL 46.7 471 1 53.3 537 2 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/17 ________________________________________________________________________________ randomnurse3 Random 6 % N VALUE LABEL 29.0 292 1 34.8 351 2 36.2 365 3 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/18 February 13, 2014

Michigan State of the State 67 Page 6 randomnurse4 Random 7 % N VALUE LABEL 25.4 256 1 21.9 221 2 26.0 262 3 26.7 269 4 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/19 ________________________________________________________________________________ randomnurse5 Random 8 % N VALUE LABEL 25.6 258 1 20.3 204 2 15.4 155 3 19.7 198 4 19.0 192 5 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/20 ________________________________________________________________________________ randomnurse6 Random 9 % N VALUE LABEL 15.3 154 1 16.4 165 2 16.5 166 3 17.7 179 4 18.7 189 5 15.4 155 6 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/21 February 13, 2014

Michigan State of the State 67 Page 7 city2 City 1,008 cases Data type: character Record/columns: 1/22-41 ________________________________________________________________________________ listed Sample % N VALUE LABEL 26.7 270 1 LISTED 15.4 155 2 UNLISTED 57.9 583 3 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 1/42 ________________________________________________________________________________ CC1 Past Financial I would like to start by asking you a few questions about how things are going for Michigan residents in general. Would you say that you (and your family living with you) are better off or worse off financially than you were a year ago? % N VALUE LABEL 40.1 402 1 BETTER OFF 28.0 281 3 ABOUT THE SAME (R PROVIDED) 31.9 320 5 WORSE OFF 4 8 DO NOT KNOW ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/43 February 13, 2014

Michigan State of the State 67 Page 8 CC2 Future Financial Now looking ahead, do you think that a year from now, you (and your family living with you) will be better off financially or worse off financially? % N VALUE LABEL 58.8 571 1 BETTER OFF 21.3 207 3 ABOUT THE SAME (R PROVIDED) 19.9 192 5 WORSE OFF 35 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/44 ________________________________________________________________________________ CC3 Current Financial How would you rate your households overall financial situation these days? Would you say it is excellent, good, just fair, not so good, or poor? % N VALUE LABEL 9.5 95 1 EXCELLENT 44.3 445 2 GOOD 32.8 330 3 JUST FAIR 8.2 82 4 NOT SO GOOD 5.3 53 5 POOR 2 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/45 February 13, 2014

Michigan State of the State 67 Page 9 CC4 Inflation Rate During the next twelve months, do you think the rate of inflation in this country will go up, will go down, or will stay about the same as it was in the past 12 months? % N VALUE LABEL 62.5 612 1 GO UP 3.8 37 3 GO DOWN 33.7 330 5 STAY ABOUT THE SAME 28 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/46 ________________________________________________________________________________ CC5 Unemployment Situation Twelve months from now, do you expect the unemployment situation in this country to be better than, worse than, or about the same as it was in the last 12 months? % N VALUE LABEL 35.6 354 1 BETTER THAN 20.4 203 3 WORSE THAN 44.0 438 5 ABOUT THE SAME 12 8 DO NOT KNOW ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/47 February 13, 2014

Michigan State of the State 67 Page 10 CC6 Business Conditions Now turning to business conditions in your community, do you think that during the next twelve months your community will have good times financially, or bad times financially? % N VALUE LABEL 55.8 539 1 GOOD TIMES 32.2 311 3 BAD TIMES 12.0 116 5 NEITHER GOOD NOR BAD; MEDIOCRE STAY THE SAME (R PROVIDED) 42 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/48 February 13, 2014

Michigan State of the State 67 Page 11 A1 Most Important Problem Community What would you say is the most important problem facing your community today? % N VALUE LABEL 3.9 36 1 SCHOOL FINANCE/EDUCATION FUNDING 4.3 40 2 EDUCATION QUALITY/IMPROVE EDUCATION 0.4 3 9 EDUCATION: GENERAL 4.8 44 10 MEDICAL CARE/HEALTH CARE: GENERAL 0.0 0 11 ELDERLY/MEDICAL CARE ELDERLY: MEDICARE 0.1 1 12 RACISM/EQUAL OPPORTUNITIES 1.3 12 13 POVERTY/POOR 0.4 3 14 HOMELESSNESS 0.4 4 15 HOUSING/AFFORDABLE HOUSING 0.2 2 16 WELFARE REFORM/CUT WELFARE 0.0 0 17 WELFARE EXPANSION/MORE PROGRAMS 0.1 1 19 OTHER (MEDICAL/HEALTH/WELFARE) 41.4 384 20 JOBS/CREATING JOBS/UNEMPLOYMENT 6.6 61 21 ECONOMY/DEVELOPMENT/LOSS BUSINESSES 0.0 0 22 OVER EXPANSION/TOO MUCH GROWTH 0.1 1 23 FARMING/DECLINE FARMING 2.2 20 24 COST OF GOODS/INFLATION 0.2 2 25 FAMILY INCOME/FAMILY FINANCES 4.2 39 26 FORECLOSURES/HOUSING CRISIS/PROPERTY VALUES 1.0 9 27 LACK OF REVENUE 1.5 14 29 OTHER (ECONOMY) 0.1 1 30 TAXES: LOCAL/CITY/PROPERTY 0.2 2 31 LEADERSHIP/CITY LEADERS 0.0 0 32 CORRUPTION: LOCAL LEVEL 0.4 4 33 TOO MUCH GOVERNMENT 0.0 0 34 COURTS/JUDICIAL REFORM 2.0 19 35 TAXES: STATE/FEDERAL 0.5 4 36 LEADERSHIP: STATE/FEDERAL GOVERNMENT 0.0 0 37 CORRUPTION: STATE/FEDERAL LEVEL 0.0 0 38 WAR/TERRORISM/MILITARY CONFLICTS 3.3 31 39 OTHER (GOVERNMENT) 0.0 0 40 THEFT 0.0 0 41 SAFETY/STREET VIOLENCE 0.0 0 42 GUN CONTROL 0.8 7 43 DRUGS/DRUG DEALERS 5.8 54 44 CRIME: GENERAL 0.0 0 49 OTHER (CRIME) 0.0 0 50 GANGS/TEEN VIOLENCE 0.6 6 51 LACK ACTIVITIES YOUTH 0.0 0 52 TEENAGE PREGNANCY 0.0 0 53 YOUTH AND DRUGS 0.0 0 54 YOUTH DRINKING/ALC. ABUSE February 13, 2014

Michigan State of the State 67 Page 12 0.0 0 55 PEER PRESSURE 0.6 6 59 OTHER (YOUTH) 0.1 1 60 DIVORCE/BROKEN HOMES/SINGLE PARENTS 0.0 0 61 CHILDREN'S WELFARE/CHILD ABUSE 0.0 0 62 DISCIPLINE/PARENTAL CONTROL 0.2 2 63 VALUES/MORALITY/RELIGION 0.0 0 64 FAMILY ALCOHOLISM/DRUG ABUSE 0.2 2 69 OTHER (FAMILY) 0.2 2 70 POLLUTION 0.0 0 71 JUNK/DIRTY CITY/BLIGHT 0.0 0 72 LANDFILLS 0.0 0 73 LAND USE 0.8 8 74 POPULATION GROWTH 0.0 0 75 RECYCLING 0.0 0 76 WETLAND/NATURAL AREA 0.2 2 79 OTHER (ENVIRONMENT) 0.6 5 80 WATER/SEWERS 0.1 1 81 TRASH/GARBAGE COLLECTION 0.2 2 82 POLICE/MORE LAW ENFORCEMENT 0.1 1 83 FIRE/MORE FIRE PROTECTION 2.7 25 84 ROADS/ROAD REPAIR/STREET UPKEEP 0.2 2 85 TRANSPORTATION/BUSES 0.0 0 86 ANIMAL CONTROL 0.2 2 87 TRAFFIC CONGESTION/TRAFFIC 0.8 7 89 OTHER (PUBLIC SERVICES) 0.3 3 90 COMMUNITY SPIRIT, COMMUNITY SUPPORT 4.7 44 91 MISCELLANEOUS: OTHER 1.0 10 95 NO PROBLEMS 75 98 DO NOT KNOW 7 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 1/49-50 February 13, 2014

Michigan State of the State 67 Page 13 PO1 Obama Rating The next couple of questions are about our elected officials. Overall, how would you rate the way Barack Obama is performing his job as President? Would you say excellent, good, fair, or poor? % N VALUE LABEL 9.1 91 1 EXCELLENT 30.6 306 2 GOOD 28.2 283 3 FAIR 32.1 322 4 POOR 3 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/51 ________________________________________________________________________________ PO2 Snyder Rating How would you rate the way Rick Snyder is performing his job as Governor? Would you say excellent, good, fair, or poor? % N VALUE LABEL 6.5 64 1 EXCELLENT 32.7 321 2 GOOD 38.2 375 3 FAIR 22.6 222 4 POOR 21 8 DO NOT KNOW 5 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/52 February 13, 2014

Michigan State of the State 67 Page 14 D10 Trust Federal Govt People have different ideas about how much they can trust government to do what is right. These ideas do not refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about this for each of the levels of government. How much of the time do you think you can trust the federal government in Washington to do what is right -- nearly always or most of the time, some of the time, seldom, or almost never? % N VALUE LABEL 15.1 110 1 NEARLY ALWAYS OR MOST OF THE TIME 36.3 265 2 SOME OF THE TIME 31.3 228 3 SELDOM 17.3 126 4 ALMOST NEVER 10 8 DO NOT KNOW 268 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/53 ________________________________________________________________________________ D11 Trust State Govt How much of the time do you think you can trust the state government in Lansing to do what is right -- nearly always or most of the time, some of the time, seldom, or almost never? % N VALUE LABEL 17.4 128 1 NEARLY ALWAYS OR MOST OF THE TIME 51.7 380 2 SOME OF THE TIME 20.3 149 3 SELDOM 10.6 78 4 ALMOST NEVER 4 8 DO NOT KNOW 2 9 REFUSED 268 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/54 February 13, 2014

Michigan State of the State 67 Page 15 D12 Trust Local Govt How much of the time do you think you can trust your local government to do what is right -- nearly always or most of the time, some of the time, seldom, or almost never? % N VALUE LABEL 39.7 292 1 NEARLY ALWAYS OR MOST OF THE TIME 36.0 265 2 SOME OF THE TIME 13.2 97 3 SELDOM 11.1 82 4 ALMOST NEVER 2 8 DO NOT KNOW 1 9 REFUSED 268 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/55 February 13, 2014

Michigan State of the State 67 Page 16 P4a Governor Legislator Priority There are many issues that the governor and legislature (in Lansing) could spend time dealing with this session. Of all the issues they could work on, which issue do you think is the most important for them to focus on? % N VALUE LABEL 13.7 129 1 ECONOMY/ECONOMIC GROWTH/STIMULATING THE ECONOMY 35.0 330 2 JOBS/CREATING JOBS/UNEMPLOYMENT 7.2 68 3 HEALTH CARE/COST OF HEALTH CARE/HEALTH INSURANCE 1.5 15 4 CRIME/DRUGS/VIOLENCE/SAFETY/PRISONS 10.4 98 5 EDUCATION/SCHOOL FUNDING 1.2 11 6 POVERTY/HOMELESS/SOCIAL PROGRAMS 0.6 6 7 WELFARE/WELFARE REFORM 2.3 22 8 TAXES 0.3 3 9 SENIORS/PRESCRIPTION DRUG COVERAGE 0.5 4 10 REDUCE BUDGETS/SIZE GOVERNMENT 0.6 5 11 MORAL ISSUES/ABORTION/FAMILY VALUES 0.2 2 12 FOREIGN POLICY 0.8 7 13 ENVIRONMENT 4.4 42 14 ROADS/HIGHWAYS/BRIDGES REPAIR 0.0 0 15 CHILDREN/ISSUES WITH CHILDREN 0.1 1 16 DIVERSITY/RACE RELATIONS 0.1 1 17 ETHICS, POLITICAL REFORM 0.9 8 18 INFRASTRUCTURE OF CITIES 0.0 0 19 ELECTION REFORM 0.1 1 20 GUN CONTROL 0.2 2 21 JOB TRAINING/RETRAINING 0.2 2 22 TEACHER TESTING/ACCOUNTABILITY 1.2 11 23 REGULATION/DEREGULATION 0.0 0 24 MEAP SCORES 4.2 40 25 STATE BUDGET CRISIS/SOLVE BUDGET ISSUES 1.0 10 26 FORECLOSURES/PROPERTY VALUES/HOUSING CRISIS 6.1 57 27 EDUCATION QUALITY/STANDARDS 7.2 68 90 MISCELLANEOUS 0.0 0 95 NOTHING/EVERYTHING IS FINE 55 98 DO NOT KNOW 11 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 1/56-57 February 13, 2014

Michigan State of the State 67 Page 17 roberts1 Rate US Congress How would you rate the way the United States Congress is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 0.6 6 1 EXCELLENT 8.2 81 2 GOOD 34.3 341 3 FAIR 56.9 565 4 POOR 13 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/58 ________________________________________________________________________________ roberts2a Rate US House How would you rate the way the U.S. House of Representatives is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 1.1 5 1 EXCELLENT 10.0 47 2 GOOD 40.7 191 3 FAIR 48.2 226 4 POOR 8 8 DO NOT KNOW 532 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/59 February 13, 2014

Michigan State of the State 67 Page 18 roberts2b Rate US Senate How would you rate the way the U.S. Senate is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 1.1 5 1 EXCELLENT 10.1 48 2 GOOD 42.0 197 3 FAIR 46.8 220 4 POOR 6 8 DO NOT KNOW 1 9 REFUSED 532 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/60 ________________________________________________________________________________ roberts3a Rate Republican-led US House How would you rate the way the Republican-led U.S. House of Representatives is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 0.3 2 1 EXCELLENT 9.9 52 2 GOOD 34.5 180 3 FAIR 55.3 289 4 POOR 8 8 DO NOT KNOW 2 9 REFUSED 476 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/61 February 13, 2014

Michigan State of the State 67 Page 19 roberts3b Rate Democratic-led US Senate How would you rate the way the Democratic-led U.S. Senate is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 2.5 13 1 EXCELLENT 15.9 83 2 GOOD 39.1 204 3 FAIR 42.4 221 4 POOR 10 8 DO NOT KNOW 1 9 REFUSED 476 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/62 ________________________________________________________________________________ roberts4 Rate MI Legislature How would you rate the way the Michigan Legislature is performing its job? Would you say excellent, good, fair, or poor? % N VALUE LABEL 1.3 12 1 EXCELLENT 24.1 234 2 GOOD 51.1 496 3 FAIR 23.6 229 4 POOR 35 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 1/63 February 13, 2014

Michigan State of the State 67 Page 20 CD1 Sex RECORD PERSONS GENDER AT THIS SCREEN: IF UNSURE USE THIS PROBE: I need to verify that I am speaking with a (male/female) adult % N VALUE LABEL 48.0 483 1 MALE 52.0 524 2 FEMALE 0.0 0 8 DO NOT KNOW 0.0 0 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/1 February 13, 2014

Michigan State of the State 67 Page 21 CD2 Year Birth In what year were you born? 19 % N VALUE LABEL 1.1 11 19 0.1 1 20 0.1 1 21 0.2 2 24 0.3 3 25 0.3 3 26 1.1 11 27 0.5 5 28 0.4 4 29 0.7 7 30 0.3 3 31 0.3 3 32 0.1 1 33 0.8 8 34 1.1 11 35 0.6 6 36 1.1 11 37 0.4 4 38 0.7 7 39 0.6 6 40 1.4 14 41 1.4 14 42 0.9 9 43 0.7 7 44 0.8 8 45 1.2 12 46 2.1 21 47 1.5 15 48 1.2 12 49 1.4 14 50 1.2 12 51 1.6 16 52 1.5 15 53 2.0 20 54 1.0 10 55 3.1 30 56 2.3 23 57 1.7 17 58 1.7 17 59 2.0 19 60 1.9 19 61 February 13, 2014

Michigan State of the State 67 Page 22 1.4 14 62 2.4 24 63 2.0 20 64 1.0 10 65 1.3 13 66 1.5 15 67 2.4 24 68 2.3 23 69 2.7 26 70 1.1 11 71 1.3 13 72 0.9 9 73 1.3 13 74 1.5 14 75 1.8 18 76 2.7 27 77 1.9 19 78 0.9 9 79 2.0 20 80 1.3 13 81 1.8 18 82 1.0 10 83 2.9 29 84 2.1 21 85 1.5 15 86 1.6 16 87 1.2 12 88 0.9 9 89 1.4 14 90 3.7 36 91 0.3 3 92 1.9 19 93 1.8 18 94 0.3 3 95 0.3 3 96 16 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/columns: 2/2-3 February 13, 2014

Michigan State of the State 67 Page 23 CD3 Education Level What is the highest level of education you have completed? % N VALUE LABEL 0.0 0 0 DID NOT GO TO SCHOOL 0.0 0 1 1st GRADE 0.0 0 2 2nd GRADE 0.0 0 3 3rd GRADE 0.0 0 4 4th GRADE 0.0 0 5 5th GRADE 0.0 0 6 6th GRADE 0.0 0 7 7th GRADE 0.3 3 8 8th GRADE 0.4 4 9 9th GRADE 0.8 8 10 10th GRADE 1.3 13 11 11th GRADE 19.8 199 12 HIGH SCHOOL GRADUATE OR GED HOLDER 8.0 80 13 1st YEAR COLLEGE 14.4 144 14 2nd YEAR COLLEGE 6.0 60 15 3rd YEAR COLLEGE 25.5 256 16 COLLEGE GRADUATE (FOUR YEARS) 3.9 40 17 SOME POST GRADUATE 17.4 175 18 GRADUATE DEGREE 2.3 23 20 TECHNICAL/JUNIOR COLLEGE GRADUATE 3 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/4-5 February 13, 2014

Michigan State of the State 67 Page 24 CD5a Ethnicity Are you of Hispanic, Latino, or Spanish origin? % N VALUE LABEL 3.7 37 1 YES-HISPANIC/LATINO/SPANISH ORIGIN 96.3 963 5 NO-NOT HISPANIC/LATINO/SPANISH ORIGIN 1 8 DO NOT KNOW 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/6 ________________________________________________________________________________ CD4@a Race - White/Caucasian What is your race? WHITE OR CAUCASIAN % N VALUE LABEL 74.3 749 1 YES 25.7 259 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/7 ________________________________________________________________________________ CD4@b Race - African American or Black What is your race? AFRICAN AMERICAN OR BLACK % N VALUE LABEL 13.9 140 1 YES 86.1 867 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/8 February 13, 2014

Michigan State of the State 67 Page 25 CD4@c Race - Hawaiian or other Pacific Islander What is your race? HAWAIIAN OR OTHER PACIFIC ISLANDER % N VALUE LABEL 0.8 8 1 YES 99.2 1,000 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/9 ________________________________________________________________________________ CD4@d Race - Asian What is your race? ASIAN % N VALUE LABEL 4.2 42 1 YES 95.8 966 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/10 ________________________________________________________________________________ CD4@e Race - American Indian or Alaska Native What is your race? AMERICAN INDIAN OR ALASKA NATIVE % N VALUE LABEL 2.4 25 1 YES 97.6 983 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/11 February 13, 2014

Michigan State of the State 67 Page 26 CD4@f Race - Other What is your race? Other % N VALUE LABEL 4.9 50 1 YES 95.1 958 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/12 ________________________________________________________________________________ CD4@g Race - Refused What is your race? REFUSED % N VALUE LABEL 1.6 16 1 YES 98.4 992 5 NO ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 2/13 February 13, 2014

Michigan State of the State 67 Page 27 CD6 Religious Background What is the religious group which you feel most closely represents your religious views? (Is it Catholic, Islamic, Jewish, Protestant, some other religion, or no religion)? % N VALUE LABEL 17.5 172 0 NONE; NO RELIGIOUS GROUP 23.5 230 1 CATHOLIC; ROMAN CATHOLIC, ORTHODOX 0.5 5 2 ISLAMIC/MUSLIM 1.2 12 3 JEWISH 35.1 343 4 PROTESTANT (Baptist, Methodist, Lutheran, Episcopalian, etc) 3.8 37 5 OTHER NON-CHRISTIAN (Unitarian-Universalist, Hindu, Druid) 16.3 159 6 OTHER CHRISTIAN (Jehovah Witness, Mormon, 7th Day Adv., etc) 2.0 20 95 UNABLE TO CLASSIFY/MISC. 9 98 DO NOT KNOW 20 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/14-15 ________________________________________________________________________________ CD7@a Political Party ID Generally speaking, do you think of yourself as a Republican, a Democrat, an Independent or something else? % N VALUE LABEL 12.6 123 0 ANOTHER PARTY, THIRD PARTY, ETC 20.0 196 1 REPUBLICAN 31.3 307 4 INDEPENDENT 36.2 355 7 DEMOCRAT 15 8 DO NOT KNOW 11 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/16 February 13, 2014

Michigan State of the State 67 Page 28 CD7@b Political Party – Republican Would you call yourself a strong Republican or not a very strong Republican? % N VALUE LABEL 51.6 99 1 STRONG REPUBLICAN 48.4 93 2 NOT A VERY STRONG REPUBLICAN 3 8 DO NOT KNOW 1 9 REFUSED 812 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/17 ________________________________________________________________________________ CD7@c Political Party – Democrat Would you call yourself a strong Democrat or not a very strong Democrat? % N VALUE LABEL 40.1 135 6 NOT A VERY STRONG DEMOCRAT 59.9 202 7 STRONG DEMOCRAT 12 8 DO NOT KNOW 6 9 REFUSED 653 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/18 February 13, 2014

Michigan State of the State 67 Page 29 CD7@d Political Party - Independent Do you generally think of yourself as closer to the Democratic Party or the Republican Party? % N VALUE LABEL 36.0 147 3 REPUBLICAN 29.4 120 4 NEITHER (R PROVIDED) 34.6 141 5 DEMOCRAT 9 8 DO NOT KNOW 13 9 REFUSED 578 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/19 ________________________________________________________________________________ partyid Political Party - Lean % N VALUE LABEL 10.6 99 1 STRONG REPUBLICAN 9.9 93 2 NOT STRONG REPUBLICAN 15.7 147 3 LEAN REPUBLICAN 12.8 120 4 NEITHER 15.0 141 5 LEAN DEMOCRAT 14.4 135 6 NOT STRONG DEMOCRAT 21.5 202 7 STRONG DEMOCRAT 15 8 DO NOT KNOW 11 9 REFUSED 43 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/20 February 13, 2014

Michigan State of the State 67 Page 30 P17@a Political Ideology Generally speaking, do you think of yourself as a conservative, a moderate, or a liberal? % N VALUE LABEL 2.9 20 0 OTHER 35.3 246 1 CONSERVATIVE 38.8 270 4 MODERATE 23.0 160 7 LIBERAL 23 8 DO NOT KNOW 21 9 REFUSED 268 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/21 ________________________________________________________________________________ P17@b Political Ideology - Conservative Would you consider yourself very conservative or somewhat conservative? % N VALUE LABEL 34.8 120 1 VERY CONSERVATIVE 65.2 226 2 SOMEWHAT CONSERVATIVE 3 8 DO NOT KNOW 659 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/22 February 13, 2014

Michigan State of the State 67 Page 31 P17@c Political Ideology - Liberal Would you consider yourself very liberal or somewhat liberal? % N VALUE LABEL 66.6 144 6 SOMEWHAT LIBERAL 33.4 72 7 VERY LIBERAL 1 8 DO NOT KNOW 1 9 REFUSED 790 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/23 ________________________________________________________________________________ P17@d Political Ideology - Middle/Neither Do you generally think of yourself as closer to the conservative side or the liberal side? % N VALUE LABEL 37.6 137 3 CLOSER TO THE CONSERVATIVE 16.5 60 4 IN THE MIDDLE 45.9 168 5 CLOSER TO THE LIBERAL SIDE 11 8 DO NOT KNOW 8 9 REFUSED 623 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/24 February 13, 2014

Michigan State of the State 67 Page 32 ideology Political Ideology – Lean % N VALUE LABEL 12.9 120 1 VERY CONSERVATIVE 24.3 226 2 SOMEWHAT CONSERVATIVE 14.8 137 3 LEAN CONSERVATIVE 6.5 60 4 MIDDLE 18.1 168 5 LEAN LIBERAL 15.6 144 6 SOMEWHAT LIBERAL 7.8 72 7 VERY LIBERAL 32 8 DO NOT KNOW 24 9 REFUSED 24 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/25 ________________________________________________________________________________ CD8 Marital Status Are you currently married, divorced, separated, widowed, a member of an unmarried couple, or have you never been married? % N VALUE LABEL 57.5 576 1 MARRIED, REMARRIED 10.1 101 2 DIVORCED 1.9 19 3 SEPARATED 5.2 52 4 WIDOWED 3.9 39 5 MEMBER OF AN UNMARRIED COUPLE 21.4 215 6 SINGLE, NEVER BEEN MARRIED 0.0 0 7 MISC/OTHER 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/26 February 13, 2014

Michigan State of the State 67 Page 33 married Married % N VALUE LABEL 39.0 393 0 61.0 615 1 ----- ----- 100.0 1,008 cases Data type: character Record/column: 2/27 ________________________________________________________________________________ CD10 Adults HH Including yourself, how many individuals who are 18 years of age or older live in your household? % N VALUE LABEL 25.3 255 1 50.2 505 2 16.9 170 3 5.6 56 4 1.8 18 5 0.2 2 6 1 98 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/28-29 February 13, 2014

Michigan State of the State 67 Page 34 CD11 Children HH How many children under the age of 18 currently live in your household? % N VALUE LABEL 65.5 657 0 13.6 137 1 14.4 145 2 3.7 37 3 2.1 21 4 0.5 5 5 0.1 1 6 5 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/30-31 ________________________________________________________________________________ CD15 Employment We are interested in learning about the different ways people may earn their living. Last week, were you working full-time, part-time, going to school, a homemaker, or something else? % N VALUE LABEL 46.3 465 1 WORK FULL TIME 12.0 120 2 WORK PART TIME 3.3 33 3 WORK AND GO TO SCHOOL 0.0 0 4 THE ARMED FORCES 0.3 3 5 HAVE A JOB, BUT NOT AT WORK LAST WEEK (VACATION, SICK LEAVE) 3.7 37 6 UNEMPLOYED, LAID OFF, LOOKING FOR WORK 17.6 177 7 RETIRED 3.7 37 8 SCHOOL FULL TIME 7.8 78 9 HOMEMAKER 3.3 33 10 DISABLED 0.4 4 11 SEMI-RETIRED, RETIRED AND WORKING PART-TIME 1.7 17 95 MISC/OTHER 1 98 DO NOT KNOW 2 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/32-33 February 13, 2014

Michigan State of the State 67 Page 35 UN1 Union Member Are you currently a member of a union or are you represented by a union? % N VALUE LABEL 20.2 126 1 YES 79.8 495 5 NO 1 8 DO NOT KNOW 1 9 REFUSED 386 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/34 ________________________________________________________________________________ UN2 Ever Union Member Have you ever been a member of a union or represented by a union? % N VALUE LABEL 34.9 305 1 YES 65.1 570 5 NO 1 8 DO NOT KNOW 7 9 REFUSED 126 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/35 February 13, 2014

Michigan State of the State 67 Page 36 UN3 Union Family Is anyone else in your household a member of a union or represented by a union? % N VALUE LABEL 18.0 132 1 YES 82.0 600 5 NO 14 8 DO NOT KNOW 1 9 REFUSED 262 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/36 ________________________________________________________________________________ inca Income Above $40,000 To get a picture of peoples financial situations, we would like to know the general range of incomes of all households we interview. This is for statistical analysis purposes and your answers will be kept strictly confidential. Now, thinking about your households total annual income from all sources (including your job), did your household receive $40,000 or more in 2012? % N VALUE LABEL 67.1 633 1 YES 32.9 311 5 NO 17 8 DO NOT KNOW 47 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/37 February 13, 2014

Michigan State of the State 67 Page 37 incb Income Below $20,000 Was it less than $20,000? % N VALUE LABEL 41.3 124 1 YES 58.7 176 5 NO 9 8 DO NOT KNOW 1 9 REFUSED 697 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/38 ________________________________________________________________________________ incca Income Below $30,000 What is less than $30,000? % N VALUE LABEL 50.7 87 1 YES 49.3 85 5 NO 3 8 DO NOT KNOW 1 9 REFUSED 831 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/39 February 13, 2014

Michigan State of the State 67 Page 38 incc Income Below $10,000 Was it less than $10,000? % N VALUE LABEL 30.2 35 1 YES 69.8 82 5 NO 7 8 DO NOT KNOW 884 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/40 ________________________________________________________________________________ incd Income Above $60,000 Was it $60,000 or more? % N VALUE LABEL 75.7 471 1 YES 24.3 151 5 NO 6 8 DO NOT KNOW 6 9 REFUSED 375 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/41 February 13, 2014

Michigan State of the State 67 Page 39 incf Income Above $50,000 Was it $50,000 or more? % N VALUE LABEL 46.4 69 1 YES 53.6 80 5 NO 2 8 DO NOT KNOW 857 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/42 ________________________________________________________________________________ incg Income Above $100,000 Was it more than $100,000? % N VALUE LABEL 50.2 233 1 YES 49.8 231 5 NO 4 8 DO NOT KNOW 3 9 REFUSED 537 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/43 February 13, 2014

Michigan State of the State 67 Page 40 inch Income Above $70,000 Was it more than $70,000? % N VALUE LABEL 53.1 120 1 YES 46.9 106 5 NO 4 8 DO NOT KNOW 2 9 REFUSED 777 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/44 ________________________________________________________________________________ incha Income Above $90,000 Was it more than $90,000? % N VALUE LABEL 19.0 22 1 YES 81.0 93 5 NO 5 8 DO NOT KNOW 888 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/45 February 13, 2014

Michigan State of the State 67 Page 41 inci Income Above $150,000 Was it more than $150,000? % N VALUE LABEL 44.1 101 1 YES 55.9 128 5 NO 2 8 DO NOT KNOW 2 9 REFUSED 775 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/46 ________________________________________________________________________________ NewIncome R Household Income in 11 Categories (new version) % N VALUE LABEL 3.7 35 1 Less than $10,000 9.4 89 2 $10,000-19,999 9.7 91 3 $20,000-29,999 10.1 95 4 $30,000-39,999 9.9 93 5 $40,000-49,999 7.3 69 6 $50,000-59,999 12.5 118 7 $60,000-69,999 10.4 98 8 $70,000-89,999 2.3 22 9 $90,000-99,999 14.0 132 10 $100,000-149,999 10.7 101 11 $150,000 or More 17 98 DO NOT KNOW 47 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 98,99 Record/columns: 6/75-76 February 13, 2014

Michigan State of the State 67 Page 42 CD26 Phone Lines How many different phone numbers does your household have, not including cell phones? % N VALUE LABEL 38.8 389 0 54.1 542 1 5.4 54 2 1.1 11 3 0.4 4 4 0.0 0 5 0.1 1 6 6 99 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/49-50 ________________________________________________________________________________ X1 Type Community Would you say you live in a rural community, a small city or town, a suburb, or an urban community? % N VALUE LABEL 1.2 12 0 MISC/OTHER 23.8 239 1 RURAL COMMUNITY 36.1 361 2 SMALL CITY OR TOWN, VILLAGE 25.9 259 3 A SUBURB 13.0 131 4 URBAN COMMUNITY 2 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/51 February 13, 2014

Michigan State of the State 67 Page 43 zipcode Zipcode What is your zip code? 1,008 cases (Range of valid codes: 48001-49965) Data type: numeric Missing-data codes: 9,8 Record/columns: 2/52-56 February 13, 2014

Michigan State of the State 67 Page 44 demo_county County What county do you live in? % N VALUE LABEL 1.1 11 0 GAVE CITY ONLY 0.2 2 1 ALCONA 0.1 1 3 ALGER 0.9 9 5 ALLEGAN 0.3 3 7 ALPENA 0.3 3 9 ANTRIM 0.0 0 11 ARENAC 0.1 1 13 BARAGA 0.4 4 15 BARRY 1.3 13 17 BAY 0.0 0 19 BENZIE 1.7 17 21 BERRIEN 0.6 6 23 BRANCH 0.8 8 25 CALHOUN 0.2 2 27 CASS 0.2 2 29 CHARLEVOIX 0.3 3 31 CHEBOYGAN 0.8 8 33 CHIPPEWA 0.2 2 35 CLARE 1.0 10 37 CLINTON 0.2 2 39 CRAWFORD 0.6 6 41 DELTA 0.1 1 43 DICKINSON 1.4 14 45 EATON 0.4 4 47 EMMET 3.8 37 49 GENESEE 0.2 2 51 GLADWIN 0.0 0 53 GOGEBIC 1.6 16 55 GRAND TRAVERSE 0.3 3 57 GRATIOT 0.5 5 59 HILLSDALE 0.4 4 61 HOUGHTON 0.7 7 63 HURON 3.2 31 65 INGHAM 0.8 7 67 IONIA 0.1 1 69 IOSCO 0.2 2 71 IRON 0.4 4 73 ISABELLA 1.5 15 75 JACKSON 3.2 32 77 KALAMAZOO 0.1 1 79 KALKASKA 6.5 64 81 KENT 0.1 1 83 KEWEENAW February 13, 2014

Michigan State of the State 67 Page 45 0.0 0 85 LAKE 1.3 13 87 LAPEER 0.5 5 89 LEELANAU 0.9 9 91 LENAWEE 1.7 17 93 LIVINGSTON 0.0 0 95 LUCE 0.0 0 97 MACKINAC 7.9 79 99 MACOMB 0.3 3 101 MANISTEE 0.8 8 103 MARQUETTE 0.4 4 105 MASON 0.2 2 107 MECOSTA 0.0 0 109 MENOMINEE 1.2 12 111 MIDLAND 0.2 2 113 MISSAUKEE 0.8 8 115 MONROE 0.9 9 117 MONTCALM 0.2 2 119 MONTMORENCY 1.7 17 121 MUSKEGON 0.4 4 123 NEWAYGO 14.3 143 125 OAKLAND 0.4 4 127 OCEANA 0.1 1 129 OGEMAW 0.0 0 131 ONTONAGON 0.4 4 133 OSCEOLA 0.1 1 135 OSCODA 0.1 1 137 OTSEGO 2.6 25 139 OTTAWA 0.0 0 141 PRESQUE ISLE 0.3 3 143 ROSCOMMON 1.9 19 145 SAGINAW 1.7 17 147 ST. CLAIR 0.6 6 149 ST. JOSEPH 0.1 1 151 SANILAC 0.0 0 153 SCHOOLCRAFT 1.2 12 155 SHIAWASSEE 0.2 2 157 TUSCOLA 0.4 4 159 VAN BUREN 3.5 35 161 WASHTENAW 14.9 149 163 WAYNE 0.3 3 165 WEXFORD 0.9 9 777 DO NOT KNOW 0.0 0 990 GAVE CITY ONLY 0.0 0 995 DID NOT PROVIDE COUNTY/CITY 13 999 REFUSED ----- ----- 100.0 1,008 cases February 13, 2014

Michigan State of the State 67 Page 46 Data type: numeric Missing-data code: 999 Record/columns: 2/57-59 ________________________________________________________________________________ demo_Detroit Live in Detroit Do you live in the city of Detroit? % N VALUE LABEL 38.9 58 1 YES 61.1 91 2 NO 859 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/60 ________________________________________________________________________________ cellular2 City of Residence In which village, city or township do you reside? % N VALUE LABEL 100.0 919 0 SPECIFY 10 98 DO NOT KNOW 21 99 REFUSED 58 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/61-62 February 13, 2014

Michigan State of the State 67 Page 47 demo_cell1 Cell Phone Do you have a cell phone for personal use? Please include cell phones used for both business and personal use. % N VALUE LABEL 85.2 360 1 YES 14.8 63 2 NO 2 9 REFUSED 583 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/63 February 13, 2014

Michigan State of the State 67 Page 48 demo_cell4 Calls to Cell Phone Thinking about all the phone calls that you receive on your landline and cell phone, what percent, between 0 and 100, are received on your cell phone? % N VALUE LABEL 5.7 20 1 3.9 14 2 0.9 3 3 0.7 2 4 6.1 21 5 0.2 1 6 0.2 1 7 0.2 1 8 9.7 34 10 0.4 1 12 0.5 2 15 4.8 17 20 2.1 7 25 3.2 11 30 0.2 1 35 1.6 6 40 14.3 50 50 5.3 19 60 0.1 0 62 4.1 14 70 5.5 19 75 6.0 21 80 1.5 5 85 9.3 33 90 3.8 13 95 0.9 3 98 0.7 2 99 2.3 8 100 0.7 2 555 NO LANDLINE PHONE 5.2 18 777 ZERO, NONE 11 888 DO NOT KNOW 646 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 999,888 Record/columns: 2/64-66 February 13, 2014

Michigan State of the State 67 Page 49 ta1 Charity - Greater Need Next, I would like to ask you some questions about charitable giving. I would like to read you some statements about charitable organizations and have you tell me to what extent you agree or disagree with each. The need for charitable organizations is greater now than five years ago. Would you say you strongly agree, somewhat agree, somewhat disagree, or strongly disagree? % N VALUE LABEL 55.2 549 1 STRONGLY AGREE 35.5 352 2 SOMEWHAT AGREE 6.9 69 3 SOMEWHAT DISAGREE 2.4 24 4 STRONGLY DISAGREE 12 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/67 ________________________________________________________________________________ ta2 Charity - Effective Charitable organizations are more effective now in providing services than they were five years ago. (Would you say you strongly agree, somewhat agree, somewhat disagree, or strongly disagree?) % N VALUE LABEL 28.7 274 1 STRONGLY AGREE 51.5 491 2 SOMEWHAT AGREE 15.5 147 3 SOMEWHAT DISAGREE 4.3 41 4 STRONGLY DISAGREE 51 8 DO NOT KNOW 4 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/68 February 13, 2014

Michigan State of the State 67 Page 50 ta4 Charity - Honest Most charitable organizations are honest and ethical in their use of donated funds. (Would you say you strongly agree, somewhat agree, somewhat disagree, or strongly disagree?) % N VALUE LABEL 27.2 267 1 STRONGLY AGREE 52.6 516 2 SOMEWHAT AGREE 13.5 132 3 SOMEWHAT DISAGREE 6.8 66 4 STRONGLY DISAGREE 25 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/69 ________________________________________________________________________________ ta5 Charity - Communities Generally, charitable organizations play a major role in making our communities better places to live. (Would you say you strongly agree, somewhat agree, somewhat disagree, or strongly disagree?) % N VALUE LABEL 49.4 489 1 STRONGLY AGREE 40.1 397 2 SOMEWHAT AGREE 8.5 84 3 SOMEWHAT DISAGREE 2.1 21 4 STRONGLY DISAGREE 11 8 DO NOT KNOW 7 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/70 February 13, 2014

Michigan State of the State 67 Page 51 ta6 Charity - Exempt Charitable organizations provide many social, health, and educational services to the public that were once provided by the government. Under Michigan law, charitable organizations are exempt from paying certain taxes because their services benefit the public. In your opinion, should charitable organizations continue to be exempt from paying certain taxes? % N VALUE LABEL 90.7 885 1 YES, CONTINUE TO BE EXEMPT 9.3 91 5 NO, SHOULD PAY TAXES 24 8 DO NOT KNOW 8 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/71 ________________________________________________________________________________ v1 Charity - Donate Now, thinking about your own charitable giving... Did you or any member of your household contribute money, property, or both to a charity or nonprofit organization in 2013? % N VALUE LABEL 87.0 873 1 YES 13.0 130 5 NO 2 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/72 February 13, 2014

Michigan State of the State 67 Page 52 v10 Charity - Tax Credit Through 2011, the State of Michigan offered charitable tax credits for gifts to certain types of charitable organizations, including community foundations, schools, libraries, and food banks. Did you reduce your charitable giving in 2013 as a result of the charitable tax credit no longer being available? % N VALUE LABEL 13.4 131 1 YES 85.5 838 5 NO 1.1 11 7 DO NOT GIVE TO CHARITY (R VOLUNTEERED) 22 8 DO NOT KNOW 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/73 ________________________________________________________________________________ v4 Charity - Next Year Do you think that your household will contribute more, less, or about the same in 2014 as you did in 2013? % N VALUE LABEL 19.7 196 1 MORE 9.8 98 3 LESS 70.4 701 5 ABOUT THE SAME 8 8 DO NOT KNOW 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/74 February 13, 2014

Michigan State of the State 67 Page 53 v5 Volunteer - Last Year Next I have some questions about volunteer activities. In 2013, did you volunteer for any types of organization such as your church, your child's school, or another non-profit organization? % N VALUE LABEL 62.5 628 1 YES 37.5 376 5 NO 3 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/75 ________________________________________________________________________________ newv5 Volunteer - Informal In 2013, did you do any informal volunteer work such as helping friends, family, or neighbors? % N VALUE LABEL 87.7 882 1 YES 12.3 124 5 NO 0 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/76 February 13, 2014

Michigan State of the State 67 Page 54 v8 Volunteer - Next Year Do you think that you will volunteer more, less, or about the same in 2014 as you did in 2013? % N VALUE LABEL 28.4 284 1 MORE 5.0 50 3 LESS 66.6 667 5 ABOUT THE SAME 5 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/77 ________________________________________________________________________________ volopp Volunteer - Opportunities Where do you mainly find out about volunteer opportunities available in your community? % N VALUE LABEL 21.0 188 1 FAMILY, FRIENDS - PEOPLE INVOLVED IN ACTIVITY 1.5 13 2 CHILDREN INVOLVED IN ACTIVITY 24.4 218 3 CHURCH/THROUGH RELIGIOUS ORGANIZATION 10.1 91 4 SCHOOL 1.1 10 5 PREVIOUS INVOLVEMENT/KNOWLEDGE ORGANIZATION/PROGRAM 5.9 53 6 WORK/JOB 12.9 115 7 TV, RADIO, NEWSPAPER, PAMPHLETS, DIRECT MAILING 10.1 91 8 INTERNET, SOCIAL NETWORKING SITES 2.1 19 9 COMMUNITY BASED ORGANIZATION 0.5 5 10 VOLUNTEER CENTERS 1.0 9 11 SERVICE CLUBS/ORGANIZATIONS 3.5 31 20 WORD OF MOUTH 6.0 54 95 MISC/OTHER 20 98 DO NOT KNOW 2 99 REFUSED 89 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 2/78-79 February 13, 2014

Michigan State of the State 67 Page 55 v9 Charity - Volunteer Do you give more money to charitable organizations where you also volunteer than to those where you are not involved as a volunteer? % N VALUE LABEL 44.2 423 1 YES 52.6 503 5 NO 3.2 31 7 DO NOT GIVE TO CHARITY/VOLUNTEER (R VOLUNTEERED) 14 8 DO NOT KNOW 1 9 REFUSED 36 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 2/80 ________________________________________________________________________________ av1 Charity - Family Influence Please tell me how much each has influenced your decision to volunteer or give to charity. Your family? Would you say they have influenced your decision to volunteer or to give to charity a great deal, some, a little, or none at all? % N VALUE LABEL 31.1 310 1 A GREAT DEAL 33.1 329 2 SOME 14.7 146 3 A LITTLE 21.2 211 4 NONE AT ALL 7 8 DO NOT KNOW 4 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/1 February 13, 2014

Michigan State of the State 67 Page 56 av2 Charity - Friend Influence Your friends? Would you say they have influenced your decision to volunteer or to give to charity a great deal, some, a little, or none at all? % N VALUE LABEL 13.1 131 1 A GREAT DEAL 35.2 351 2 SOME 21.1 210 3 A LITTLE 30.6 306 4 NONE AT ALL 6 8 DO NOT KNOW 4 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/2 ________________________________________________________________________________ av3 Charity - School Influence Your school or the school that your children or neighborhood children attend? (Would you say they have influenced your decision to volunteer or to give to charity a great deal, some, a little, or none at all?) % N VALUE LABEL 17.5 172 1 A GREAT DEAL 28.2 275 2 SOME 13.9 135 3 A LITTLE 40.4 395 4 NONE AT ALL 24 8 DO NOT KNOW 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/3 February 13, 2014

Michigan State of the State 67 Page 57 av4 Charity - Co-Worker Influence Your co-workers or supervisor? (Would you say they have influenced your decision to volunteer or to give to charity a great deal, some, a little, or none at all?) % N VALUE LABEL 8.5 82 1 A GREAT DEAL 22.2 214 2 SOME 12.6 122 3 A LITTLE 56.8 548 4 NONE AT ALL 23 8 DO NOT KNOW 19 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/4 ________________________________________________________________________________ av5 Charity - Church Influence Your church, synagogue, or other religious organization? (Would you say they have influenced your decision to volunteer or to give to charity a great deal, some, a little, or none at all?) % N VALUE LABEL 31.4 310 1 A GREAT DEAL 26.4 261 2 SOME 7.9 78 3 A LITTLE 34.2 337 4 NONE AT ALL 6 8 DO NOT KNOW 15 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/5 February 13, 2014

Michigan State of the State 67 Page 58 angel1 Estate - Will The next questions are about estate planning. Do you currently have a will or written estate plan? % N VALUE LABEL 43.2 426 1 YES 56.8 561 2 NO 10 8 DO NOT KNOW 11 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/6 ________________________________________________________________________________ angel2a Estate - Charity Does your will or estate plan include any provisions for making any kind of monetary contribution to a charity? % N VALUE LABEL 21.1 89 1 YES 78.9 332 2 NO 4 8 DO NOT KNOW 1 9 REFUSED 582 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/7 February 13, 2014

Michigan State of the State 67 Page 59 angel2b Estate - Cash Would the contribution be made in cash or in another form such as a gift annuity or charitable trust? % N VALUE LABEL 73.4 61 1 CASH 26.6 22 2 OTHER 4 8 DO NOT KNOW 1 9 REFUSED 919 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/8 ________________________________________________________________________________ angel2c Estate - Number of Charities How many charities are named? % N VALUE LABEL 43.9 37 1 CHARITIES 32.3 27 2 17.9 15 3 3.7 3 4 1.7 1 5 0.5 0 6 0.0 0 100 CHARITIES 4 998 DO NOT KNOW 0 999 REFUSED 919 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 999,998 Record/columns: 3/9-11 February 13, 2014

Michigan State of the State 67 Page 60 angel2d Estate - Endowment Are any of the contributions to the endowment fund of the charity? % N VALUE LABEL 25.2 20 1 YES 74.8 61 2 NO 7 8 DO NOT KNOW 919 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/12 ________________________________________________________________________________ angel3a Estate - Future Do you plan to establish a will or written estate plan within the next year? % N VALUE LABEL 42.5 234 1 YES 57.5 316 2 NO 23 8 DO NOT KNOW 10 9 REFUSED 426 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/13 February 13, 2014

Michigan State of the State 67 Page 61 angel3b Estate - Future Charity Do you plan to include any charities in your will or estate plan? % N VALUE LABEL 31.1 63 1 YES 68.9 140 2 NO 30 8 DO NOT KNOW 774 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/14 ________________________________________________________________________________ sd1 Safe Delivery - Familiar The next couple of questions focus on a public policy issue in Michigan. Are you familiar with the Safe Delivery of Newborns law? % N VALUE LABEL 18.9 190 1 YES 81.1 815 5 NO 1 8 DO NOT KNOW 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/15 February 13, 2014

Michigan State of the State 67 Page 62 sd2 Safe Delivery - Learn Where did you learn about the Safe Delivery of Newborns law? % N VALUE LABEL 24.8 45 1 NEWSPAPERS, PRINT MEDIA 35.0 63 2 TELEVISION, RADIO, ELECTRONIC MEDIA 3.2 6 3 HOSPITAL/CLINIC/DOCTOR'S OFFICE 2.6 5 4 INTERNET 4.2 8 5 WORD OF MOUTH/FAMILY/FRIENDS 20.9 38 6 PLACE OF WORK 2.2 4 7 CHURCH 3.6 7 8 SCHOOL 3.4 6 95 MISC/OTHER 7 98 DO NOT KNOW 2 99 REFUSED 818 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/16-17 February 13, 2014

Michigan State of the State 67 Page 63 sd3 Safe Delivery - Public Awareness The Safe Delivery of Newborns law was enacted January 1, 2001, in response to an increase in the number of newborn infants abandoned in unsafe places. The law targets troubled parents and encourages the placement of a newborn no more than 72 hours old with an emergency service provider. An emergency service provider is defined as a uniformed or otherwise identified employee of a fire department, police station or hospital that is inside and on duty. It also can include a paramedic or EMT who responds to a 9-1-1 call. The law allows that the surrender be anonymous, but encourages the parent to share relevant background information which will be kept confidential. The surrendered infant will be placed with an approved adoptive family. In your opinion, how important is it to ensure that there is public awareness of this law? Would you say it is very important, somewhat important, not very important, or not important at all? % N VALUE LABEL 79.1 789 1 VERY IMPORTANT 19.4 193 2 SOMEWHAT IMPORTANT 0.9 9 3 NOT VERY IMPORTANT 0.6 6 4 NOT IMPORTANT AT ALL 5 8 DO NOT KNOW 6 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/18 February 13, 2014

Michigan State of the State 67 Page 64 mcan0 Children Under 19 Do you have any children under the age of 19? % N VALUE LABEL 33.5 338 1 YES 66.5 670 2 NO 1 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/19 ________________________________________________________________________________ mcan1 College - Necessary Next, I would like to ask about college education in Michigan. For the purposes of these questions, a college education refers to earning a degree or certificate from an accredited educational institution beyond high school, such as a technical school, community college, or university. For a young person in Michigan to be successful in the labor market and in their career, how important is it to have a college education? Would you say it is very important, somewhat important, somewhat unimportant, or very unimportant? % N VALUE LABEL 69.7 701 1 VERY IMPORTANT 27.2 274 2 SOMEWHAT IMPORTANT 0.0 0 3 NEITHER IMPORTANT NOR UNIMPORTANT (R VOLUNTEERS) 2.8 29 4 SOMEWHAT UNIMPORTANT 0.2 2 5 VERY UNIMPORTANT 2 8 DO NOT KNOW ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/20 February 13, 2014

Michigan State of the State 67 Page 65 mcan2 College - Affordable Now I would like to ask whether you agree or disagree with the following statement: "At today's levels of tuition and financial aid, a college education is reasonably affordable for people in Michigan." Would you say that you strongly agree, somewhat agree, somewhat disagree, or strongly disagree with this statement? % N VALUE LABEL 5.2 52 1 STRONGLY AGREE 22.8 227 2 SOMEWHAT AGREE 0.8 8 3 NEITHER AGREE NOR DISAGREE (R VOLUNTEERS) 34.6 344 4 SOMEWHAT DISAGREE 36.7 365 5 STRONGLY DISAGREE 11 8 DO NOT KNOW 2 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/21 February 13, 2014

Michigan State of the State 67 Page 66 mcan3a Oldest Child Age Thinking about only your children under the age of 19. How old is your oldest child (or your only child) (under the age of 19)? % N VALUE LABEL 4.4 7 0 1.6 3 1 2.1 3 2 7.6 12 3 3.1 5 4 5.8 9 5 3.2 5 6 2.9 5 7 1.1 2 8 3.2 5 9 3.0 5 10 2.6 4 11 4.1 7 12 5.6 9 13 5.2 8 14 7.7 12 15 8.0 13 16 15.8 25 17 8.7 14 18 1.2 2 19 0.5 1 22 1.0 2 23 0.8 1 26 0.7 1 29 1 98 DO NOT KNOW 2 99 REFUSED 845 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/22-23 February 13, 2014

Michigan State of the State 67 Page 67 mcan4a College - Oldest Child How likely is it that your oldest child (only child) will get a college education? Would you say it is very likely, somewhat likely, somewhat unlikely or very unlikely? % N VALUE LABEL 85.6 137 1 VERY LIKELY 9.1 15 2 SOMEWHAT LIKELY 0.0 0 3 NEITHER LIKELY NOR UNLIKELY (R VOLUNTEERS) 2.3 4 4 SOMEWHAT UNLIKELY 2.9 5 5 VERY UNLIKELY 3 8 DO NOT KNOW 845 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/24 February 13, 2014

Michigan State of the State 67 Page 68 mcan3b Youngest Child Age How old is your youngest child (or your only child)? % N VALUE LABEL 6.9 12 0 7.4 13 1 5.1 9 2 2.6 4 3 8.1 14 4 6.3 11 5 3.5 6 6 8.3 14 7 1.5 3 8 3.0 5 9 7.0 12 10 8.4 14 11 3.7 6 12 5.0 9 13 3.7 6 14 5.1 9 15 4.3 7 16 6.3 11 17 3.9 7 18 1 98 DO NOT KNOW 3 99 REFUSED 833 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/25-26 February 13, 2014

Michigan State of the State 67 Page 69 mcan4b College - Youngest Child How likely is it that your youngest child (your only child) will get a college education? Would you say it is very likely, somewhat likely, somewhat unlikely or very unlikely? % N VALUE LABEL 79.8 139 1 VERY LIKELY 14.7 26 2 SOMEWHAT LIKELY 0.0 0 3 NEITHER LIKELY NOR UNLIKELY (R VOLUNTEERS) 4.4 8 4 SOMEWHAT UNLIKELY 1.1 2 5 VERY UNLIKELY 0 8 DO NOT KNOW 833 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/27 ________________________________________________________________________________ nursing1 Nursing - Children 1 to 5 How many children that are 1 to 5 years old live in your household? % N VALUE LABEL 70.6 247 0 19.0 66 1 10.5 37 2 1 99 REFUSED 657 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/28-29 February 13, 2014

Michigan State of the State 67 Page 70 nursing1b Nursing - Selection % N VALUE LABEL 91.1 33 1 PROCEED 8.9 3 2 TWINS/TRIPLETS/ETC SELECTED 0.0 0 7 NO CHILDREN 971 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 9 Record/column: 3/30 ________________________________________________________________________________ nursing1c Nursing - Selection Please pick one of those children now, and answer only about that child. % N VALUE LABEL 100.0 3 1 1,005 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 3/31 ________________________________________________________________________________ nursing2 Nursing - Age How old is the child that was selected? % N VALUE LABEL 19.2 20 1 1 YEAR (12-23 MONTHS) 12.1 12 2 2 YEARS (24-35 MONTHS) 23.2 24 3 3 YEARS (36-47 MONTHS) 25.3 26 4 4 YEARS (48-59 MONTHS) 20.3 21 5 5 YEARS (60-71 MONTHS) 0 99 REFUSED 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/32-33 February 13, 2014

Michigan State of the State 67 Page 71 nursing2b Nursing - Relationship What is your relationship to the child? % N VALUE LABEL 36.7 38 1 FATHER 48.4 50 2 MOTHER 2.2 2 3 PARENT (GENDER UNKNOWN) 4.9 5 4 SIBLING/BROTHER/SISTER 5.9 6 5 GRANDPARENT/GREAT-GRANPARENT 0.0 0 6 COUSIN 0.6 1 7 AUNT/UNCLE 1.3 1 8 OTHER RELATIVE 0.0 0 9 NON-RELATIVE 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 99,98 Record/columns: 3/34-35 ________________________________________________________________________________ nursing3 Nursing - Fruit I am now going to ask you a few questions about what the child eats. In a typical week when the child is in school, how often does the child eat any kind of fruit? Never, 1 to 3 times a week, 4 to 6 times a week, or every day. % N VALUE LABEL 4.5 5 1 NEVER 5.1 5 2 1-3 TIMES/WEEK 10.2 10 3 4-6 TIMES/WEEK 80.2 81 4 EVERY DAY 2 8 DO NOT KNOW 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/36 February 13, 2014

Michigan State of the State 67 Page 72 nursing4 Nursing - Vegetable Using the same answer choices, in a typical week, how often does the child eat any kind of vegetable? (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 2.3 2 1 NEVER 8.3 8 2 1-3 TIMES/WEEK 19.4 20 3 4-6 TIMES/WEEK 70.0 71 4 EVERY DAY 2 8 DO NOT KNOW 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/37 ________________________________________________________________________________ nursing5 Nursing - Self Fruit I am now going to ask you a few questions about what you eat. In a typical week when the child is in school, how often do you eat any kind of fruit? Never, 1 to 3 times a week, 4 to 6 times a week, or every day. % N VALUE LABEL 2.2 2 1 NEVER 24.5 25 2 1-3 TIMES/WEEK 25.1 26 3 4-6 TIMES/WEEK 48.2 50 4 EVERY DAY 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/38 February 13, 2014

Michigan State of the State 67 Page 73 nursing6 Nursing - Self Vegetable Using the same answer choices, in a typical week, how often do you eat any kind of vegetable? (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 0.0 0 1 NEVER 18.1 19 2 1-3 TIMES/WEEK 30.1 31 3 4-6 TIMES/WEEK 51.8 53 4 EVERY DAY 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/39 ________________________________________________________________________________ nursing7 Nursing - Sugar Drink Now I am going to ask you a few questions about what the child drinks. In a typical week, how often does the child drink sports drinks, punch, or other fruit-flavored drinks like HI-C, lemonade, Kool-aid, or Sunny Delight? Do not include 100 percent pure fruit juices. (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 48.5 50 1 NEVER 37.3 39 2 1-3 TIMES/WEEK 9.0 9 3 4-6 TIMES/WEEK 5.2 5 4 EVERY DAY 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/40 February 13, 2014

Michigan State of the State 67 Page 74 nursing8 Nursing - Fruit Juice In a typical week, how often does the child drink 100% pure fruit juice such as orange, apple, or grape juice? (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 10.7 10 1 NEVER 29.8 29 2 1-3 TIMES/WEEK 29.2 28 3 4-6 TIMES/WEEK 30.3 30 4 EVERY DAY 6 8 DO NOT KNOW 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/41 ________________________________________________________________________________ nursing9 Nursing - Soda In a typical week, how often does the child drink non-diet soda? (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 76.2 79 1 NEVER 23.8 25 2 1-3 TIMES/WEEK 0.0 0 3 4-6 TIMES/WEEK 0.0 0 4 EVERY DAY 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/42 February 13, 2014

Michigan State of the State 67 Page 75 nursing10 Nursing - Eat with TV In a typical week, how often is there a television on and visible to the child when he or she eats? (Never, 1 to 3 times a week, 4 to 6 times a week, or every day.) % N VALUE LABEL 47.1 49 1 NEVER 18.8 19 2 1-3 TIMES/WEEK 16.1 17 3 4-6 TIMES/WEEK 18.1 19 4 EVERY DAY 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/43 ________________________________________________________________________________ nursing101 Nursing - Eating Habits How would you rate the child's overall eating habits? Poor, not so good, fair, good, or excellent? % N VALUE LABEL 1.0 1 1 POOR 4.0 4 2 NOT SO GOOD 14.0 14 3 FAIR 51.7 53 4 GOOD 29.4 30 5 EXCELLENT 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/44 February 13, 2014

Michigan State of the State 67 Page 76 nursing11 Nursing - Physical Activity Days (Typical) In a typical week when the child is in school, how many days a week is the child physically active for at least an hour? % N VALUE LABEL 0.5 1 0 2.2 2 1 2.6 3 2 7.3 7 3 1.7 2 4 10.6 11 5 3.6 4 6 71.4 72 7 2 8 DO NOT KNOW 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/45 ________________________________________________________________________________ nursing12 Nursing - TV In a typical week, how many hours per day does the child sit and watch TV or videos? Less than an hour, one hour, two hours, three hours, four hours, or five or more hours? % N VALUE LABEL 16.7 17 0 LESS THAN 1 HOUR 38.0 39 1 1 HOUR 17.7 18 2 2 HOURS 12.4 13 3 3 HOURS 5.4 6 4 4 HOURS 8.6 9 5 5 OR MORE HOURS 1.2 1 7 CHILD DOES NOT WATCH TV OR VIDEOS 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/46 February 13, 2014

Michigan State of the State 67 Page 77 nursing13 Nursing - Video Games In a typical week, how many hours per day does the child use a computer or play video games? Less than an hour, one hour, two hours, three hours, four hours, or five or more hours? % N VALUE LABEL 34.9 36 0 LESS THAN 1 HOUR 19.4 20 1 1 HOUR 7.7 8 2 2 HOURS 18.1 19 3 3 HOURS 2.3 2 4 4 HOURS 3.2 3 5 5 OR MORE HOURS 14.5 15 7 CHILD DOES NOT PLAY VIDEO GAMES 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/47 ________________________________________________________________________________ nursing14 Nursing - Physical Activities (Last 7 Days) Did the child do any physical activities during the past 7 days? % N VALUE LABEL 97.2 100 1 YES 2.8 3 2 NO 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/48 February 13, 2014

Michigan State of the State 67 Page 78 nursing15a Nursing - Activity - Bike I will now list several physical activities. For each one, please say "yes" if the child engaged in that activity in the last seven days, and "no" if not. Bike riding % N VALUE LABEL 19.8 20 1 YES 80.2 80 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/49 ________________________________________________________________________________ nursing15b Nursing - Activity - Dancing Dancing (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 67.6 68 1 YES 32.4 32 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/50 February 13, 2014

Michigan State of the State 67 Page 79 nursing15c Nursing - Activity - Sledding Sledding (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 37.8 37 1 YES 62.2 62 2 NO 1 8 DO NOT KNOW 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/51 ________________________________________________________________________________ nursing15d Nursing - Activity - Gymnastics Gymnastics or Tumbling (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 38.1 38 1 YES 61.9 62 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/52 February 13, 2014

Michigan State of the State 67 Page 80 nursing15e Nursing - Activity - Hiking Hiking (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 9.6 10 1 YES 90.4 91 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/53 ________________________________________________________________________________ nursing15f Nursing - Activity - Jumping Rope Jumping rope (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 13.3 13 1 YES 86.7 87 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/54 February 13, 2014

Michigan State of the State 67 Page 81 nursing15g Nursing - Activity - Backyard games Backyard or playground games and activities (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 79.8 80 1 YES 20.2 20 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/55 ________________________________________________________________________________ nursing15h Nursing - Activity - Roller skating Roller skating (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 12.1 12 1 YES 87.9 88 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/56 February 13, 2014

Michigan State of the State 67 Page 82 nursing15i Nursing - Activity - Ice skating Ice skating (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 8.0 8 1 YES 92.0 92 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/57 ________________________________________________________________________________ nursing15j Nursing - Activity - Running Running (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 80.1 80 1 YES 19.9 20 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/58 February 13, 2014

Michigan State of the State 67 Page 83 nursing15k Nursing - Activity - Soccer Soccer (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 7.7 8 1 YES 92.3 92 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/59 ________________________________________________________________________________ nursing15l Nursing - Activity - Swimming Swimming (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 14.9 15 1 YES 85.1 85 2 NO 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/60 February 13, 2014

Michigan State of the State 67 Page 84 nursing15m Nursing - Activity - Trampoline Trampoline (Has the child engaged in this activity in the last seven days?) % N VALUE LABEL 15.5 15 1 YES 84.5 83 2 NO 2 8 DO NOT KNOW 908 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/61 ________________________________________________________________________________ nursing16 Nursing - Active Video Games In a typical week, how many days per week does the child play active video games, such as Wii Sports or Xbox Kinect? % N VALUE LABEL 73.8 76 0 8.2 8 1 6.0 6 2 0.7 1 3 4.9 5 4 2.2 2 5 4.1 4 7 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/62 February 13, 2014

Michigan State of the State 67 Page 85 nursing17 Nursing - Active Video Game Time In a typical week, for how long does the child play these active video games per day? Less than an hour, one hour, two hours, three hours, four hours, or five or more hours? % N VALUE LABEL 80.2 78 0 LESS THAN 1 HOUR 14.8 14 1 1 HOUR 1.2 1 2 2 HOURS 0.0 0 3 3 HOURS 3.9 4 4 4 HOURS 0.0 0 5 5 OR MORE HOURS 3 8 DO NOT KNOW 2 9 REFUSED 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/63 ________________________________________________________________________________ nursing18 Nursing - School Is the child in daycare or school this year? % N VALUE LABEL 74.1 76 1 YES/DAYCARE/SCHOOL 25.9 27 2 NO 905 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/64 February 13, 2014

Michigan State of the State 67 Page 86 nursing19 Nursing - Recess How many days per week does the child normally have recess? % N VALUE LABEL 2.8 2 0 11.3 8 1 7.0 5 2 17.7 13 3 8.0 6 4 46.0 34 5 7.2 5 7 3 8 DO NOT KNOW 932 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/65 ________________________________________________________________________________ nursing20 Nursing - Recess Time On average, how long is the recess period? Less than 15 minutes, 16-30 minutes, or more than 30 minutes? % N VALUE LABEL 19.2 14 1 LESS THAN 15 MINUTES 60.4 44 2 16-30 MINUTES 20.4 15 3 MORE THAN 30 MINUTES 1 8 DO NOT KNOW 934 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/66 February 13, 2014

Michigan State of the State 67 Page 87 inclusion1 Diversity - African American Population The next questions are about diversity. What is your best estimate of the percentage of the population in Michigan that is African American? % N VALUE LABEL 0.1 1 0 0.3 2 2 0.4 3 3 0.6 5 5 0.5 4 7 0.6 5 8 0.5 4 9 3.8 34 10 0.4 4 11 2.0 18 12 0.6 5 13 0.2 2 14 5.2 47 15 0.5 4 17 0.7 6 18 0.6 5 19 9.1 81 20 0.1 1 21 0.2 2 23 0.1 0 24 7.0 62 25 0.2 1 26 0.5 4 27 0.4 4 28 0.1 1 29 16.8 150 30 0.3 2 32 0.9 8 33 6.4 57 35 0.6 6 37 0.3 2 38 15.9 142 40 0.1 1 42 0.1 0 43 0.3 2 44 4.4 40 45 0.2 2 46 0.1 0 47 0.2 2 48 8.8 78 50 February 13, 2014

Michigan State of the State 67 Page 88 0.4 4 53 0.8 7 55 0.1 1 57 0.2 2 58 2.9 26 60 0.1 1 62 0.6 6 65 0.1 1 66 0.3 3 67 0.4 4 70 1.2 10 75 1.1 10 80 0.1 1 82 0.4 3 85 0.3 2 90 0.2 2 99 1.1 10 100 106 998 DO NOT KNOW 8 999 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 999,998 Record/columns: 3/67-69 February 13, 2014

Michigan State of the State 67 Page 89 inclusion2 Diversity - Muslim Population What is your best estimate of the percentage of the population in Michigan that is Muslim? % N VALUE LABEL 0.1 1 0 1.6 14 1 3.7 32 2 5.1 45 3 2.4 21 4 15.4 134 5 2.9 25 6 2.5 22 7 3.2 28 8 0.3 2 9 19.1 166 10 0.1 1 11 1.4 12 12 0.1 1 13 11.8 103 15 0.1 0 16 0.0 0 17 0.0 0 18 12.8 111 20 0.1 1 22 3.0 26 25 0.1 1 27 0.2 2 28 6.5 57 30 0.3 2 32 0.1 1 33 0.9 8 35 0.1 1 38 0.3 3 39 2.0 17 40 1.2 11 50 0.1 0 53 0.4 4 55 0.6 6 60 0.1 1 70 0.2 2 75 0.1 1 80 0.3 2 85 0.7 6 100 122 998 DO NOT KNOW 16 999 REFUSED ----- ----- February 13, 2014

Michigan State of the State 67 Page 90 100.0 1,008 cases Data type: numeric Missing-data codes: 999,998 Record/columns: 3/70-72 February 13, 2014

Michigan State of the State 67 Page 91 inclusion3 Diversity - Gay Population What is your best estimate of the percentage of the population in Michigan that is gay or lesbian? % N VALUE LABEL 4.2 35 1 4.3 36 2 4.9 41 3 1.0 9 4 14.8 124 5 0.9 7 6 1.8 15 7 2.2 18 8 0.9 7 9 15.3 128 10 0.2 2 11 1.2 10 12 0.0 0 13 11.0 91 15 0.0 0 17 0.1 1 18 10.8 90 20 0.1 1 22 0.1 1 23 5.2 43 25 0.4 3 28 9.3 77 30 0.2 2 33 1.8 15 35 0.2 2 38 2.3 19 40 0.4 3 45 0.2 1 47 4.3 36 50 0.5 4 60 0.3 2 70 0.3 3 75 0.0 0 90 0.9 7 100 158 998 DO NOT KNOW 16 999 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 999,998 Record/columns: 3/73-75 February 13, 2014

Michigan State of the State 67 Page 92 inclusion4 Diversity - Income Gap Since about 1980, do you think the income gap between high-income people and low-income people in Michigan has increased, decreased, or stayed about the same? % N VALUE LABEL 70.1 692 1 INCREASED 13.2 130 2 DECREASED 16.7 165 3 STAYED ABOUT THE SAME 18 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/76 ________________________________________________________________________________ inclusion5 Diversity - Escape Poverty In your opinion, if a person from a poor background is willing to work hard, what chance do you think they have of getting out of poverty? Excellent, good, fair, not so good, or poor. % N VALUE LABEL 17.2 172 1 EXCELLENT 29.7 296 2 GOOD 33.4 334 3 FAIR 14.8 148 4 NOT SO GOOD 5.0 50 5 POOR 7 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/77 February 13, 2014

Michigan State of the State 67 Page 93 inclusion6 Diversity - Race Wage Gap In the United States, the average black man earns less in the labor market than the average white man. Some of this gap may be due to differences in job skills, and some of it may be due to discrimination by employers. Would you say that this gap is mostly due to differences in job skills, somewhat more due to job skills than discrimination, somewhat more due to discrimination than job skills, or mostly due to discrimination? % N VALUE LABEL 39.0 367 1 MOSTLY DUE TO DIFFERENCES IN JOB SKILLS 29.8 280 2 SOMEWHAT MORE DUE TO DIFFERENCES IN JOB SKILLS THAN TO

DISCRIMINATION 18.2 172 3 SOMEWHAT MORE DUE TO DISCRIMINATION THAN TO DIFFERENCES IN

JOB SKILLS 13.0 122 4 MOSTLY DUE TO DISCRIMINATION 43 8 DO NOT KNOW 24 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/78 ________________________________________________________________________________ inclusion7 Diversity - Gender Wage Gap In the United States, the average woman earns less in the labor market than the average man. Some of this gap may be due to differences in job skills, and some of it may be due to discrimination by employers. Would you say that this gap is mostly due to differences in job skills, somewhat more due to job skills than discrimination, somewhat more due to discrimination than job skills, or mostly due to discrimination? % N VALUE LABEL 20.1 192 1 MOSTLY DUE TO DIFFERENCES IN JOB SKILLS 23.5 224 2 SOMEWHAT MORE DUE TO DIFFERENCES IN JOB SKILLS THAN TO

DISCRIMINATION 28.4 271 3 SOMEWHAT MORE DUE TO DISCRIMINATION THAN TO DIFFERENCES IN

JOB SKILLS 28.1 268 4 MOSTLY DUE TO DISCRIMINATION 34 8 DO NOT KNOW 20 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/79 February 13, 2014

Michigan State of the State 67 Page 94 inclusion8 Diversity - Gay Marriage Do you strongly favor, somewhat favor, somewhat oppose, or strongly oppose the right of gay and lesbian couples to be legally married? % N VALUE LABEL 35.3 343 1 STRONGLY FAVOR 19.0 185 2 SOMEWHAT FAVOR 10.2 99 3 NEUTRAL (R VOLUNTEERED) 10.4 101 4 SOMEWHAT OPPOSE 25.1 244 5 STRONGLY OPPOSE 13 8 DO NOT KNOW 23 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 3/80 ________________________________________________________________________________ inclusion9 Diversity - Gay Adoption Do you strongly favor, somewhat favor, somewhat oppose, or strongly oppose allowing gays and lesbians to adopt children? % N VALUE LABEL 38.0 370 1 STRONGLY FAVOR 20.7 201 2 SOMEWHAT FAVOR 8.1 79 3 NEUTRAL (R VOLUNTEERED) 14.2 139 4 SOMEWHAT OPPOSE 19.0 185 5 STRONGLY OPPOSE 9 8 DO NOT KNOW 25 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/1 February 13, 2014

Michigan State of the State 67 Page 95 inclusion10 Diversity - African American Hiring For each of the following statements, please tell me whether you strongly agree, somewhat agree, somewhat disagree, or strongly disagree. Employers should make special efforts to hire and promote qualified African Americans, in order to offset the effects of past discrimination. % N VALUE LABEL 21.3 207 1 STRONGLY AGREE 31.8 308 2 SOMEWHAT AGREE 3.4 33 3 NEUTRAL (R VOLUNTEERED) 21.5 208 4 SOMEWHAT DISAGREE 22.0 214 5 STRONGLY DISAGREE 22 8 DO NOT KNOW 16 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/2 ________________________________________________________________________________ inclusion11 Diversity - Female Hiring Employers should make special efforts to hire and promote qualified women, in order to offset the effects of past discrimination. (Please tell me whether you strongly agree, somewhat agree, somewhat disagree, or strongly disagree.) % N VALUE LABEL 25.9 255 1 STRONGLY AGREE 32.8 322 2 SOMEWHAT AGREE 3.0 29 3 NEUTRAL (R VOLUNTEERED) 20.8 204 4 SOMEWHAT DISAGREE 17.6 173 5 STRONGLY DISAGREE 10 8 DO NOT KNOW 16 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/3 February 13, 2014

Michigan State of the State 67 Page 96 inclusion13 Diversity - Immigrants Immigrants take jobs away from people in Michigan who were born in the United States. (Please tell me whether you strongly agree, somewhat agree, somewhat disagree, or strongly disagree.) % N VALUE LABEL 19.5 189 1 STRONGLY AGREE 24.7 240 2 SOMEWHAT AGREE 1.6 16 3 NEUTRAL (R VOLUNTEERED) 25.2 245 4 SOMEWHAT DISAGREE 29.0 281 5 STRONGLY DISAGREE 20 8 DO NOT KNOW 18 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/4 ________________________________________________________________________________ inclusion14 Diversity - Photo ID People in Michigan should have to present photographic identification in order to vote. (Please tell me whether you strongly agree, somewhat agree, somewhat disagree, or strongly disagree.) % N VALUE LABEL 61.7 617 1 STRONGLY AGREE 15.2 153 2 SOMEWHAT AGREE 0.8 8 3 NEUTRAL (R VOLUNTEERED) 7.6 76 4 SOMEWHAT DISAGREE 14.7 147 5 STRONGLY DISAGREE 4 8 DO NOT KNOW 3 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/5 February 13, 2014

Michigan State of the State 67 Page 97 inclusion15 Diversity - Mosque Suppose some Muslims wanted to build a large mosque in your community. Would this bother you a lot, bother you a little, not bother you, or be something you welcome? % N VALUE LABEL 11.0 109 1 BOTHER YOU A LOT 16.8 167 2 BOTHER YOU A LITTLE 52.0 515 3 NOT BOTHER YOU 20.1 199 4 BE SOMETHING YOU WELCOME 13 8 DO NOT KNOW 5 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 4/6 ________________________________________________________________________________ RI Thank you for answering our questions. Thank you for answering our questions. In a couple of months, we would like to re-contact some of the people we have spoken with for another interview either over the phone or on the web. Would you be willing to participate again in a couple of months? % N VALUE LABEL 87.7 642 1 YES 12.3 90 5 NO 7 8 DO NOT KNOW 1 9 REFUSED 268 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 5/1 February 13, 2014

Michigan State of the State 67 Page 98 RIa RI - Email Do you have an email address so that we may contact you to do the survey online instead of by phone? Your email address will be kept confidential and will only be used for research purposes. % N VALUE LABEL 51.5 330 1 YES 23.6 151 3 NO, DO NOT WANT TO GIVE EMAIL ADDRESS OUT 24.9 160 5 NO, HAVE NO EMAIL 0 8 DO NOT KNOW 0 9 REFUSED 366 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,8 Record/column: 5/2 ________________________________________________________________________________ contacts contacts % N VALUE LABEL 31.8 320 1 20.7 209 2 12.6 127 3 11.0 111 4 7.4 75 5 5.6 56 6 4.8 48 7 3.5 35 8 2.7 27 9 ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 6/1 February 13, 2014

Michigan State of the State 67 Page 99 length Interview Length % N VALUE LABEL 0.1 1 0 0.0 0 2 0.1 1 11 0.0 0 13 0.9 8 14 1.6 16 15 3.5 34 16 4.6 46 17 6.0 60 18 6.9 69 19 7.5 74 20 8.9 89 21 10.7 107 22 7.8 78 23 7.4 73 24 5.9 59 25 5.9 58 26 4.2 42 27 3.3 33 28 3.0 30 29 2.3 23 30 1.7 17 31 1.3 13 32 1.2 12 33 1.0 10 34 0.8 8 35 0.5 4 36 0.8 8 37 0.4 4 38 0.1 1 39 0.1 1 40 0.2 2 41 0.2 2 42 0.1 1 43 0.4 4 44 0.1 1 45 0.1 1 47 0.2 2 48 0.3 3 49 0.0 0 50 0.2 2 52 0.1 1 87 0.0 0 158 12 . Not Applicable ----- ----- February 13, 2014

Michigan State of the State 67 Page 100 100.0 1,008 cases Data type: numeric Record/columns: 6/3-6 February 13, 2014

Michigan State of the State 67 Page 101 idate Interview Date % N VALUE LABEL 0.8 8 1022014 1.0 10 1032014 1.0 10 1042014 1.1 11 1052014 1.7 18 1082014 2.1 22 1092014 2.1 21 1102014 1.4 14 1112014 3.8 38 1122014 2.1 21 1132014 3.2 32 1142014 4.0 40 1152014 1.7 17 1162014 3.3 33 1172014 2.9 30 1182014 4.9 50 1192014 5.3 53 1202014 1.9 19 1212014 4.1 41 1222014 2.8 28 1232014 1.7 17 1242014 0.7 7 1252014 2.5 25 1262014 3.0 31 1272014 5.3 53 1282014 2.7 27 1292014 3.1 31 1302014 2.6 26 1312014 1.9 19 2012014 1.6 16 2022014 2.7 27 2032014 2.6 26 2042014 3.3 33 2052014 1.0 10 2062014 1.0 10 2072014 1.0 10 2082014 1.3 13 2092014 0.4 4 2102014 1.4 14 12192013 1.3 13 12202013 0.8 8 12212013 0.2 2 12222013 0.3 3 12232013 2.8 29 12262013 0.8 8 12272013 February 13, 2014

Michigan State of the State 67 Page 102 0.9 9 12282013 1.2 12 12292013 0.7 7 12302013 ----- ----- 100.0 1,008 cases Data type: numeric Record/columns: 6/7-14 February 13, 2014

Michigan State of the State 67 Page 103 iwer Interviewer % N VALUE LABEL 0.1 1 98 0.3 3 374 2.5 25 403 0.9 9 405 1.1 11 406 0.3 3 408 0.9 9 412 1.5 15 413 1.3 14 414 1.2 12 415 1.3 14 416 10.2 103 418 4.9 49 419 0.2 2 420 2.6 26 421 1.7 17 422 1.5 15 424 1.5 15 425 0.1 1 426 2.1 21 429 1.6 16 430 1.0 10 431 0.4 4 432 1.6 16 433 1.4 14 434 2.0 20 437 0.3 3 438 0.5 6 441 1.1 11 442 0.7 7 443 0.1 1 450 1.0 10 506 0.2 2 520 0.2 2 558 0.1 1 653 1.7 18 679 0.6 6 760 0.5 5 765 1.7 17 829 0.3 3 833 0.3 3 834 0.3 3 835 0.9 9 841 0.6 6 846 0.7 7 848 February 13, 2014

Michigan State of the State 67 Page 104 1.1 11 850 0.0 0 851 0.4 4 852 3.3 33 854 0.5 5 856 1.0 10 858 0.6 6 860 0.3 3 867 0.9 9 877 0.3 3 882 1.4 15 887 0.2 2 889 0.9 9 890 0.2 2 892 0.9 9 898 0.6 6 910 3.3 33 918 6.4 64 920 0.8 9 922 0.2 2 926 0.7 7 935 0.4 4 942 0.5 5 946 1.0 10 947 1.4 14 950 0.6 6 955 0.5 5 970 0.6 6 971 6.1 61 973 0.5 5 976 0.7 7 977 1.8 18 981 1.6 16 982 0.5 5 990 0.1 1 991 0.7 7 992 1.1 11 993 0.3 3 995 1.7 17 997 ----- ----- 100.0 1,008 cases Data type: numeric Record/columns: 6/15-17 February 13, 2014

Michigan State of the State 67 Page 105 males Males % N VALUE LABEL 12.5 38 0 66.9 203 1 18.4 56 2 1.9 6 3 0.4 1 4 705 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Record/columns: 6/18-19 ________________________________________________________________________________ females Females % N VALUE LABEL 5.4 16 0 74.9 227 1 18.3 55 2 1.5 4 3 705 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Record/columns: 6/20-21 ________________________________________________________________________________ races Respondent Race Recoded race of respondent (multiple responses coded to a single group) % N VALUE LABEL 78.2 758 1 White 14.5 140 2 African American 0.8 8 3 Hawaiian Pacific Islander 4.0 38 4 Asian 2.5 25 5 Native American 39 . Not Applicable ----- ----- 100.0 1,008 cases Data type: numeric Record/column: 6/43 February 13, 2014

Michigan State of the State 67 Page 106 agecat Rs age in categories % N VALUE LABEL 11.3 109 1 18 - 24 Yrs 9.5 92 2 25 - 29 Yrs 16.0 155 3 30 - 39 Yrs 18.5 179 4 40 - 49 Yrs 19.2 186 5 50 - 59 Yrs 7.7 75 6 60 - 64 Yrs 17.7 171 7 65 or older 40 9 REFUSED ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 9 Record/column: 6/44 ________________________________________________________________________________ adjwt Weight adj for phones adults race gender age within reg 1,008 cases (Range of valid codes: 0.1148-6.8810) Data type: numeric Decimals: 4 Missing-data code: 0.0000 Record/columns: 6/46-52 ________________________________________________________________________________ msueregn Region code based on MSU Extension Groupings % N VALUE LABEL 3.3 33 1 UP 5.1 51 2 NORTH LP 15.3 154 3 W. CENTRAL 8.8 88 4 E. CENTRAL 14.0 141 5 SOUTHWEST 53.6 540 6 SOUTHEAST URBAN ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 0 Record/column: 6/54 February 13, 2014

Michigan State of the State 67 Page 107 msuewt weight by MSU region 1,008 cases (Range of valid codes: 0.1150-6.8917) Data type: numeric Decimals: 4 Record/columns: 6/56-62 ________________________________________________________________________________ statewt Weight for Statewide Estimates 1,008 cases (Range of valid codes: 0.1357-8.3046) Data type: numeric Decimals: 4 Record/columns: 6/64-70 ________________________________________________________________________________ rac3 Race 3 categories % N VALUE LABEL 78.2 758 1 White 14.5 140 2 African American 7.3 71 3 Other 39 0 Refuse-Not codable ----- ----- 100.0 1,008 cases Data type: numeric Missing-data codes: 9,0 Record/column: 6/71 February 13, 2014

Michigan State of the State 67 Page 108 AGE Age of Respondent % N VALUE LABEL 2.0 19 18 0.4 3 19 3.7 36 20 1.4 14 21 0.9 9 22 1.2 12 23 1.6 16 24 1.5 15 25 2.2 21 26 3.0 29 27 1.0 10 28 1.8 18 29 1.3 13 30 2.1 20 31 0.9 9 32 2.0 19 33 2.8 27 34 1.9 18 35 1.5 14 36 1.3 13 37 0.9 9 38 1.4 13 39 1.1 11 40 2.7 26 41 2.3 23 42 2.4 24 43 1.5 15 44 1.3 13 45 1.0 10 46 2.1 20 47 2.5 24 48 1.4 14 49 2.0 19 50 2.0 19 51 1.7 17 52 1.7 17 53 2.4 23 54 3.1 30 55 1.0 10 56 2.1 20 57 1.6 15 58 1.6 16 59 1.3 12 60 1.5 14 61 1.3 12 62 February 13, 2014

Michigan State of the State 67 Page 109 1.5 15 63 2.2 21 64 1.3 12 65 0.8 8 66 0.7 7 67 0.9 9 68 1.4 14 69 1.5 14 70 0.6 6 71 0.7 7 72 0.4 4 73 1.1 11 74 0.6 6 75 1.1 11 76 0.8 8 77 0.1 1 78 0.3 3 79 0.3 3 80 0.8 7 81 0.4 4 82 0.5 5 83 1.1 11 84 0.3 3 85 0.3 3 86 0.2 2 87 0.1 1 90 0.1 1 91 1.1 11 92 40 0 REFUSED/MISSING ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 0 Record/columns: 6/72-73 February 13, 2014

Michigan State of the State 67 Page 110 imprace Respondent Race with Imputation for missing data % N VALUE LABEL 78.5 791 1 White 14.5 146 2 African American 7.0 71 3 Other ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 0 Record/column: 6/74 ________________________________________________________________________________ source Sample source of Respondent % N VALUE LABEL 30.0 303 1 Fresh Landline 12.1 122 2 Recall Landline 43.3 437 3 Fresh Cell 14.5 147 4 Recall Cell ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 0 Record/column: 6/77 ________________________________________________________________________________ educat4 Respondents Level of Education % N VALUE LABEL 2.7 28 1 < H.S. 19.8 199 2 H.S. Grad 30.6 308 3 Some College 46.8 471 4 College+ 3 0 ----- ----- 100.0 1,008 cases Data type: numeric Missing-data code: 0 Record/column: 6/78 February 13, 2014