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Table showing the different datasets and year they are for.
Dataset Name Year Description
Kids Count Data Center - Child Care Cost 2024 Kids Count Data Center provided Michigan-specific data for the child care cost indicator. The Early Childhood Investment Corporation (ECIC) provides the Michigan League for Public Policy (MLPP) with data related to the cost of full-time childcare per week in Michigan’s counties. Kids Count in Michigan is sponsored by the Annie E. Casey Foundation and led by the MLPP. The ECIC provides the MLPP with data related to the cost of full-time childcare per week for infants, toddlers, preschoolers, and school-age children in day care centers, group homes, and home-based child care providers, and group homes in Michigan’s counties. Then MLPP takes the data provided by ECIC and calculates the monthly averages (multiplies the values by 4.2). Once the minimum wage for the majority of the data year was calculated, this hourly value was multiplied by 173 to get the monthly wage at full-time. The Kids Count analyst provided aggregate county-level data from 2015-2024. Affordable and quality child care is an important part for a family to obtain education and access economic opportunities. However, the growing cost of child care is often a barrier. According to the U.S. Department of Health and Human Services, child care should not account for more than 7% of a family’s budget. However, the average cost is often much higher. Data by county were not available for four counties: Keweenaw, Lake, Luce, and Oscoda. This was because data from these counties had three or more years of missing data. References: Early Childhood Investment Corporation, Great Start to Quality Dataset. (2015-2024). https://www.ecic4kids.org/quality-improvement/ Personal communication – Kelli Bowers, Michigan League for Public Policy. March 25, 2025. US Department of Health and Human Services. (2024). Overview of 2024 CCDF Final Rule: Improving Child Care Access, Affordability, and Stability in the Child Care and Development Fund. Retrieved from: https://acf.gov/occ/law-regulation/overview-2024-ccdf-final-rule-improving-child-care-access-affordability
Kids Count Data Center - Mental Health Access 2024 Kids Count Data Center provided Michigan-specific data for the mental health providers indicator. The County Health Rankings (CHR) Dataset was developed by the University of Wisconsin Population Health Institute to help communities understand the current health of residents and examine factors that can influence their future health (https://www.countyhealthrankings.org/). The rankings can be used to compare counties across the state. The CHR Dataset includes measures related to population health and well-being (e.g. length of life, quality of life) as well as community conditions (e.g. health infrastructure, physical environment, social and economic factors). Within the health infrastructure measures, there are indicators related to clinical care. This includes mental health providers data that comes from the Centers for Medicare & Medicaid Services National Provider Identification (NPI) Registry. The mental health providers indicator measures the ratio of a population in a county to the number of mental health providers. This ratio shows the number of individuals served by one mental health provider in the county (if the population were equally distributed across providers). For example, if a county has a population of 10,000 and has 10 mental health providers, their ratio would be: 1,000:1. Mental health care providers are defined as ‘psychiatrists, psychologists, licensed clinical social workers, counselors, marriage and family therapists, and mental health providers that treat alcohol and other drug abuse, as well as advanced practice nurses specializing in mental health care’. Reference: County Health Rankings. (2025). Mental Health Providers: Methods. Retrieved from: https://www.countyhealthrankings.org/health-data/community-conditions/health-infrastructure/clinical-care/mental-health-providers?anchor=data-methods&selected-tab=methods&year=2025
MiPHY 2024 The Michigan Profile for Healthy Youth (MiPHY) is an online questionnaire of 7th, 9th, and 11th grade Michigan students. The survey is conducted by the Michigan Department of Education (MDE). The survey is conducted opposite years as the MiYRBS (usually even years) as the MiYRBS and allows for county and individual school district (ISD) level data. Results for the Dashboard are limited to only respondents from high school students. The MiPHY acts as a complementary source of local estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The surveys are self-administered in the high school classrooms and students record their responses on scannable questionnaires. Participation in the MiPHY is voluntary and schools and districts register to participate in the survey. Participating schools use a passive consent form, with families only returning the parent notification form if they do want their child to participate. Surveys are completed privately by students via an online platform either in the classroom or a computer lab, depending on the devices access to the Michigan School Health Survey System. Responses are compiled and analyzed by the Michigan School Health Survey System although the data are not weighted. Survey results are aggregated by county, district, and school level (middle school or high school). At least two districts must participate for county level results to be released. Since participation in MiPHY is voluntary, there are important limitations to consider when interpreting the results. The results for a county may not be representative of all high school students in the geographical area. Estimates were calculated using the MiPHY Export Utility, which implements the same statistical procedures previously used in SAS and has been validated to produce SAS-aligned results. A Pearson Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. When the expected count was less than five, the Fisher’s Exact Test was used instead. Prevalence estimates were suppressed when the unweighted denominator was less than 10. Differences by Arab ethnicity were measured by examining Arab respondents versus all non-Arab respondents. MiPHY county-level results are available at: https://mdoe.state.mi.us/schoolhealthsurveys/ExternalReports/CountyReportGeneration.aspx
Emergency Department Syndromic Surveillance 2023 Syndromic surveillance is a rapid emergency department (ED) surveillance system that is used to detect outbreaks and other public health events by categorizing chief complaints and discharge diagnoses into syndromes and monitoring for abnormalities. Most ED facilities in Michigan submit data in real time (within a few hours) to less than 24 hours after the visit, with data such as the discharge diagnoses continually being updated as they become available. The National Syndromic Surveillance Program (NSSP) Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) platform was used to identify emergency department visits related to adverse childhood experiences (ACEs). About 98% of ED facilities in Michigan send data to the syndromic surveillance system, while approximately 82% of EDs in Michigan send the data required to identify ACEs. Data were counted by visits not patients, therefore individual patients may be counted multiple times if they visited the ED more than once. Data from the syndromic surveillance system related to suspected child abuse and neglect (CDC version 1), youth mental health conditions (version 1), youth suspected suicide attempt (CDC version 2), and youth substance use (CDC alcohol version 1, CDC all drug version 2) were identified by chief complaint text as well diagnosis codes documented by medical staff. The definitions for each of the syndromes were created by the NSSP, CDC’s Division of Violence Prevention, and local and state health departments (Reference: CDC, NSSP). Diagnosis codes from the International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM, ICD-10-CM) and Systematized Nomenclature of Medicine (SNOMED) were utilized. Additional details for each indicator are included on the indicator’s data page. Visits were limited to ED facilities in Michigan with children less than 18 years of age (child abuse and neglect) and 5-17 years for the other three youth indicators, that had visits with a known county of residence in Michigan. To help account for differences in data quality on trends over time, only visits from facilities that consistently sent average weekly informative discharge diagnoses with greater than or equal to 75% of the cases and less than or equal to 35% weekly standard deviation were included. Visit counts that were smaller than 5 were suppressed and not shown. When monthly visits counts were less than 10, the time length of quarters (3 months) was used instead. Syndromic surveillance data cannot be used to determine the precise estimates of ACEs due to dataset limitations. Emergency department (ED) coverage across the state varies and not all EDs across the state that participate include the enhanced feed necessary to identify ACEs. Since the data are based on a set of preselected discharge diagnoses code and chief complaint text fields, there may be some ED visits that get mistakenly included or missed. The counts are less precise than using the full health record. About 82% of EDs in Michigan sent data required to identify ACEs with variation depending on the Public Health Preparedness Region (Region 1: 85%, Region 2N: 78%, Region 2S: 85%, Region 3: 75%, Region 5: 94%, Region 6: 96%, Region 7: 73%, Region 8: 69%). It is important to note that healthcare seeking behavior changed during the pandemic impacted ED visits in Michigan. Some of these included increased use of telemedicine and recommendations to limit ED visits to severe illness, as well as changes in ED triage practices and alternative COVID-19 testing sites. Important limitations related to utilizing data from emergency room medical records should also be noted. Variation in provider training and awareness of how to identify child abuse and neglect may lead to under or overestimates of the actual child abuse and neglect cases seen in the emergency room. Additionally, it is important to note that implicit biases based on race and ethnicity, socioeconomic status and other demographic factors and characteristics may lead to incorrect identification or missed identification of some child abuse and neglect cases as well. Lastly, over time, there may be changes in the way that different EDs across the state report data which can affect how ACEs are measured. Reference: CDC. National Syndromic Surveillance Program (NSSP). Atlanta, GA: US Department of Health and Human Services, CDC; 2022. https://www.cdc.gov/nssp/index.html
Kids Count Data Center - Childhood Poverty 2023 Kids Count Data Center provided Michigan-specific data for the childhood poverty indicator. The original data were collected by the U.S. Census Bureau. The five-year childhood poverty estimates by race and ethnicity were collected through the American Community Survey (https://www.census.gov/programs-surveys/acs/, Tables B17020) and the yearly childhood poverty estimates were from the Small Area Income and Poverty Estimates (SAIPE) program (https://www.census.gov/data-tools/demo/saipe/#/). The American Community Survey (ACS) is a nationwide household survey that is conducted every year and led by the U.S. Census Bureau. The ACS helps complement and provide updated information to the Census data provided every ten years. Addresses are selected from a master list of all known housing (housing units, group quarters, and non-residential units) in the US and Puerto Rico. A sample of about 3.5 million addresses are selected each year, with the ACS data collected by mail, phone, internet, and personal visits by Census field representatives. Demographics (e.g. gender, age, race, ethnicity, marital status) as well as data related to social, housing, and economic characteristics are collected. One person may provide data for all members of the household. Results from the ACS are weighted to be representative of Americans at the federal, state, and local level. Multiple years of data must often be combined to provide a large enough sample size and reliable estimates. Five years of ACS were combined to obtain the childhood poverty data by race/ethnicity at the county level in Michigan. The SAIPE program provides poverty and household income estimates to help determine Title I funding for school districts. Data from the ACS as well as other data sources (e.g. federal income tax returns, food stamp (SNAP) benefits, economic data) are used in a statistical model to provide estimates for small areas. Updated results from SAIPE are released each year. References: US Census Bureau. (2014). American Community Survey Design and Methodology (January 2014). Retrieved from: https://www2.census.gov/programs-surveys/acs/methodology/design_and_methodology/2014/acs_design_methodology_report_2014.pdf US Census Bureau. (2024). FAQs from Small Area Income and Poverty Estimates (SAIPE) Program. Retrieved from: https://www.census.gov/programs-surveys/saipe/about/faq.html#par_textimage_1
Kids Count Data Center - High Housing Cost Burden 2023 Kids Count Data Center provided Michigan-specific data for the high housing cost burden indicator. The original data were collected by the U.S. Census Bureau through the American Community Survey (ACS) from Table B25106. The ACS helps complement and provide updated information to the Census data provided every ten years (https://www.census.gov/programs-surveys/acs/). Addresses are selected from a master list of all known housing (housing units, group quarters, and non-residential units) in the US and Puerto Rico. A sample of about 3.5 million addresses are selected each year, with the ACS data collected by mail, phone, internet, and visits by Census field representatives. Demographics (e.g. gender, age, race, ethnicity, marital status) as well as data related to social, housing, and economic characteristics are collected. One person may provide data for all members of a household. Results from the ACS are weighted to be representative of Americans at the federal, state, and local level. Multiple years of data must often be combined to allow for a large sample size and reliable estimates. Five years of ACS were combined to obtain high housing cost burden data at the county level in Michigan. Reference: US Census Bureau. (2014). American Community Survey Design and Methodology (January 2014). Retrieved from: https://www2.census.gov/programs-surveys/acs/methodology/design_and_methodology/2014/acs_design_methodology_report_2014.pdf
YRBS 2023 The Michigan Youth Risk Survey (MiYRBS) is a state-level paper-and-pencil questionnaire administered to Michigan high school students attending public high schools in grades 9 through 12. This survey is conducted through a collaborative effort between the Centers for Disease Control and Prevention (CDC) and the Michigan Department of Education (MDE). These surveys are conducted every other year (usually odd years) and act as the only source of state-specific, population-based estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The sample of Michigan public schools included within the MiYRBS is selected using a two-stage, cluster sample design. Schools are selected with a probability proportionate to their school enrollment size in the first sampling stage, while in the second stage, classes are randomly selected based on a selection of a required class (e.g. English class). All students in the selected class are eligible to participate in the survey. An overall response rate must be equal or greater than 60% for the MiYRBS data to be weighted. A weighting methodology is used to adjust for student nonresponse and the distribution of students by grade, sex, and race/ethnicity in each location. Responses are compiled and provided to the CDC to conduct the weighting. (Reference: https://www.cdc.gov/mmwr/pdf/rr/rr6201.pdf) Weighted prevalence estimates were calculated using SAS (version 9.4), a statistical computing program designed for analyzing data from multistage sample surveys. A Rao-Scott Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. Prevalence estimates were suppressed when the unweighted denominator was less than 30. Data were flagged with “interpret with caution” when the 1) absolute confidence interval (CI) was greater than 20%, 2) relative CI was greater than 120%, or 3) the CI was inestimable due to no sample variance (Reference: https://www.childhealthdata.org/docs/default-source/drc/2016-nsch_data-supression-and-display_revised_102317.pdf). The chi-square tests were not performed when one of the estimates was equal to 0% or 100% or when one of the unweighted numerators was less than five. The number of participants in the 2023 YRBS was 2,214. Michigan YRBS data are available and may be requested at: https://www.cdc.gov/healthyyouth/data/yrbs/contact.htm.
MiPHY 2022 The Michigan Profile for Healthy Youth (MiPHY) is an online questionnaire of 7th, 9th, and 11th grade Michigan students. The survey is conducted by the Michigan Department of Education (MDE). The survey is conducted opposite years as the MiYRBS (usually even years) as the MiYRBS and allows for county and individual school district (ISD) level data. Results for the Dashboard are limited to only respondents from high school students. The MiPHY acts as a complementary source of local estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The surveys are self-administered in the high school classrooms and students record their responses on scannable questionnaires. Participation in the MiPHY is voluntary and schools and districts register to participate in the survey. Participating schools use a passive consent form, with families only returning the parent notification form if they do want their child to participate. Surveys are completed privately by students via an online platform either in the classroom or a computer lab, depending on the devices access to the Michigan School Health Survey System. Responses are compiled and analyzed by the Michigan School Health Survey System although the data are not weighted. Survey results are aggregated by county, district, and school level (middle school or high school). At least two districts must participate for county level results to be released. Since participation in MiPHY is voluntary, there are important limitations to consider when interpreting the results. The results for a county may not be representative of all high school students in the geographical area. Estimates were calculated using SAS (version 9.4; SAS Institute), and a Pearson Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. When the unweighted numerator was less than five, the Fisher’s Exact Test was used instead. Prevalence estimates were suppressed when the unweighted denominator was less than 10. Differences by Arab ethnicity were measured by examining Arab respondents versus all non-Arab respondents. MiPHY county-level results are available at: https://mdoe.state.mi.us/schoolhealthsurveys/ExternalReports/CountyReportGeneration.aspx
Emergency Department Syndromic Surveillance 2021 Syndromic surveillance is a rapid emergency department (ED) surveillance system that is used to detect outbreaks and other public health events by categorizing chief complaints and discharge diagnoses into syndromes and monitoring for abnormalities. Most ED facilities in Michigan submit data in real time (within a few hours) to less than 24 hours after the visit, with data such as the discharge diagnoses continually being updated as they become available. The National Syndromic Surveillance Program (NSSP) Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) platform was used to identify emergency department visits related to adverse childhood experiences (ACEs). About 97% of ED facilities in Michigan send data to the syndromic surveillance system, while approximately 74% of EDs in Michigan send the data required to identify ACEs. Data were counted by visits not patients, therefore individual patients may be counted multiple times if they visited the ED more than once. Data from the syndromic surveillance system related to suspected child abuse and neglect (CDC version 1), youth mental health conditions (version 1), youth suspected suicide attempt (CDC version 2), and youth substance use (CDC alcohol version 1, CDC all drug version 2) were identified by chief complaint text as well diagnosis codes documented by medical staff. The definitions for each of the syndromes were created by the NSSP, CDC’s Division of Violence Prevention, and local and state health departments (Reference: CDC, NSSP). Diagnosis codes from the International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification (ICD-9-CM, ICD-10-CM) and Systematized Nomenclature of Medicine (SNOMED) were utilized. Additional details for each indicator are included on the indicator’s data page. Visits were limited to ED facilities in Michigan with children less than 18 years of age (child abuse and neglect) and 5-17 years for the other three youth indicators, that had visits with a known county of residence in Michigan. To help account for differences in data quality on trends over time, only visits from facilities that consistently sent average weekly informative discharge diagnoses with greater than or equal to 75% of the cases and less than or equal to 35% weekly standard deviation were included. Visit counts that were smaller than 10 were suppressed and not shown. When monthly visits counts were less than 10, the time length of quarters (3 months) was used instead. Syndromic surveillance data cannot be used to determine the precise estimates of ACEs due to dataset limitations. Emergency department (ED) coverage across the state varies and not all EDs across the state that participate include the enhanced feed necessary to identify ACEs. Since the data are based on a set of preselected discharge diagnoses code and chief complaint text fields, there may be some ED visits that get mistakenly included or missed. The counts are less precise than using the full health record. About 74% of EDs in Michigan sent data required to identify ACEs with variation depending on the Public Health Preparedness Region (Region 1: 58%, Region 2N: 76%, Region 2S: 96%, Region 3: 65%, Region 5: 94%, Region 6: 91%, Region 7: 18%, Region 8: 56%). Coverage in Region 7 was particularly low due to EDs in the area not being included during the three years of analyses, therefore data was not available. Region 1 and Region 8 also had lower ED coverage compared to the rest of the state. It is important to note that healthcare seeking behavior changed during the pandemic impacted ED visits in Michigan. Some of these included increased use of telemedicine and recommendations to limit ED visits to severe illness, as well as changes in ED triage practices and alternative COVID-19 testing sites. Important limitations related to utilizing data from emergency room medical records should also be noted. Variation in provider training and awareness of how to identify child abuse and neglect may lead to under or overestimates of the actual child abuse and neglect cases seen in the emergency room. Additionally, it is important to note that implicit biases based on race and ethnicity, socioeconomic status and other demographic factors and characteristics may lead to incorrect identification or missed identification of some child abuse and neglect cases as well. Lastly, over time, there may be changes in the way that different EDs across the state report data which can affect how ACEs are measured. Reference: CDC. National Syndromic Surveillance Program (NSSP). Atlanta, GA: US Department of Health and Human Services, CDC; 2022. https://www.cdc.gov/nssp/index.html
YRBS 2021 The Michigan Youth Risk Survey (MiYRBS) is a state-level paper-and-pencil questionnaire administered to Michigan high school students attending public high schools in grades 9 through 12. This survey is conducted through a collaborative effort between the Centers for Disease Control and Prevention (CDC) and the Michigan Department of Education (MDE). These surveys are conducted every other year (usually odd years) and act as the only source of state-specific, population-based estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The sample of Michigan public schools included within the MiYRBS is selected using a two-stage, cluster sample design. Schools are selected with a probability proportionate to their school enrollment size in the first sampling stage, while in the second stage, classes are randomly selected based on a selection of a required class (e.g. English class). All students in the selected class are eligible to participate in the survey. An overall response rate must be equal or greater than 60% for the MiYRBS data to be weighted. A weighting methodology is used to adjust for student nonresponse and the distribution of students by grade, sex, and race/ethnicity in each location. Responses are compiled and provided to the CDC to conduct the weighting. (Reference: https://www.cdc.gov/mmwr/pdf/rr/rr6201.pdf) Weighted prevalence estimates were calculated using SAS (version 9.4), a statistical computing program designed for analyzing data from multistage sample surveys. A Rao-Scott Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. Prevalence estimates were suppressed when the unweighted denominator was less than 30. Data were flagged with “interpret with caution” when the 1) absolute confidence interval (CI) was greater than 20%, 2) relative CI was greater than 120%, or 3) the CI was inestimable due to no sample variance (Reference: https://www.childhealthdata.org/docs/default-source/drc/2016-nsch_data-supression-and-display_revised_102317.pdf). The chi-square tests were not performed when one of the estimates was equal to 0% or 100% or when one of the unweighted numerators was less than five. The number of participants in the 2021 YRBS was 3,751. Michigan YRBS data are available and may be requested at: https://www.cdc.gov/healthyyouth/data/yrbs/contact.htm.
MiPHY 2020 The Michigan Profile for Healthy Youth (MiPHY) is an online questionnaire of 7th, 9th, and 11th grade Michigan students. The survey is conducted by the Michigan Department of Education (MDE). The survey is conducted opposite years as the MiYRBS (usually even years) as the MiYRBS and allows for county and individual school district (ISD) level data. Results for the Dashboard are limited to only respondents from high school students. The MiPHY acts as a complementary source of local estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The surveys are self-administered in the high school classrooms and students record their responses on scannable questionnaires. Participation in the MiPHY is voluntary and schools and districts register to participate in the survey. Participating schools use a passive consent form, with families only returning the parent notification form if they do want their child to participate. Surveys are completed privately by students via an online platform either in the classroom or a computer lab, depending on the devices access to the Michigan School Health Survey System. Responses are compiled and analyzed by the Michigan School Health Survey System although the data are not weighted. Survey results are aggregated by county, district, and school level (middle school or high school). At least two districts must participate for county level results to be released. Since participation in MiPHY is voluntary, there are important limitations to consider when interpreting the results. The results for a county may not be representative of all high school students in the geographical area. Estimates were calculated using SAS (version 9.4; SAS Institute) and a Pearson Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. When the unweighted numerator was less than five, the Fisher’s Exact Test was used instead. Prevalence estimates were suppressed when the unweighted denominator was less than 10. Differences by Arab ethnicity were measured by examining Arab respondents versus all non-Arab respondents. MiPHY county-level results are available at: https://mdoe.state.mi.us/schoolhealthsurveys/ExternalReports/CountyReportGeneration.aspx
YRBS 2019 The Michigan Youth Risk Survey (MiYRBS) is a state-level paper-and-pencil questionnaire administered to Michigan high school students attending public high schools in grades 9 through 12. This survey is conducted through a collaborative effort between the Centers for Disease Control and Prevention (CDC) and the Michigan Department of Education (MDE). These surveys are conducted every other year (usually odd years) and act as the only source of state-specific, population-based estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The sample of Michigan public schools included within the MiYRBS is selected using a two-stage, cluster sample design. Schools are selected with a probability proportionate to their school enrollment size in the first sampling stage, while in the second stage, classes are randomly selected based on a selection of a required class (e.g. English class). All students in the selected class are eligible to participate in the survey. An overall response rate must be equal or greater than 60% for the MiYRBS data to be weighted. A weighting methodology is used to adjust for student nonresponse and the distribution of students by grade, sex, and race/ethnicity in each location. Responses are compiled and provided to the CDC to conduct the weighting. (Reference: https://www.cdc.gov/mmwr/pdf/rr/rr6201.pdf) Weighted prevalence estimates were calculated using SAS (version 9.4; SAS Institute), a statistical computing program designed for analyzing data from multistage sample surveys. A Rao-Scott Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. Prevalence estimates were suppressed when the unweighted denominator was less than 30. Data were flagged with “interpret with caution” when the 1) absolute confidence interval (CI) was greater than 20%, 2) relative CI was greater than 120%, or 3) the CI was inestimable due to no sample variance (Reference: https://www.childhealthdata.org/docs/default-source/drc/2016-nsch_data-supression-and-display_revised_102317.pdf). The chi-square tests were not performed when one of the estimates was equal to 0% or 100% or when one of the unweighted numerators was less than five. The number of participants in the 2019 YRBS was 4,565. Michigan YRBS data are available and may be requested at: https://www.cdc.gov/healthyyouth/data/yrbs/contact.htm.
YRBS 2017 The Michigan Youth Risk Survey (MiYRBS) is a state-level paper-and-pencil questionnaire administered to Michigan high school students attending public high schools in grades 9 through 12. This survey is conducted through a collaborative effort between the Centers for Disease Control and Prevention (CDC) and the Michigan Department of Education (MDE). These surveys are conducted every other year (usually odd years) and act as the only source of state-specific, population-based estimates among Michigan youth that provide the prevalence of health-related behaviors that contribute to the leading causes of death and disability among youth and adults. The sample of Michigan public schools included within the MiYRBS is selected using a two-stage, cluster sample design. Schools are selected with a probability proportionate to their school enrollment size in the first sampling stage, while in the second stage, classes are randomly selected based on a selection of a required class (e.g. English class). All students in the selected class are eligible to participate in the survey. An overall response rate must be equal or greater than 60% for the MiYRBS data to be weighted. A weighting methodology is used to adjust for student nonresponse and the distribution of students by grade, sex, and race/ethnicity in each location. Responses are compiled and provided to the CDC to conduct the weighting. (Reference: https://www.cdc.gov/mmwr/pdf/rr/rr6201.pdf) Weighted prevalence estimates were calculated using SAS (version 9.4; SAS Institute), a statistical computing program designed for analyzing data from multistage sample surveys. A Rao-Scott Chi-Square Test was performed to determine whether two estimates were different at the p < 0.05 level. Prevalence estimates were suppressed when the unweighted denominator was less than 30. Data were flagged with “interpret with caution” when the 1) absolute confidence interval (CI) was greater than 20%, 2) relative CI was greater than 120%, or 3) the CI was inestimable due to no sample variance (Reference: https://www.childhealthdata.org/docs/default-source/drc/2016-nsch_data-supression-and-display_revised_102317.pdf). The chi-square tests were not performed when one of the estimates was equal to 0% or 100% or when one of the unweighted numerators was less than five. The number of participants in the 2017 YRBS was 1,626. Michigan YRBS data are available and may be requested at: https://www.cdc.gov/healthyyouth/data/yrbs/contact.htm.