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Baseline Trend Progress | Current Progress: |
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= APC* > +1.0%/year = +1.0%/year ≥ APC > +0.5%/year = +0.5%/year ≥ APC ≥ -0.5%/year = -0.5%/year > APC ≥ -1.0%/year = -1.0%/year > APC *APC=Annual Percent Change |
= Current rate is worse than expected rate (p<0.10) = Current rate is no different than expected rate = Current rate is better than expected rate (p<0.10) |
Gender: Although some differences in health between males and females may be due to biological differences between the sexes, other gender differences in health represent inequities – or differences in health that are unfair or unjust.Although the disparity graphs are broken out by subgroup, these subgroups are not independent of one another. For instance, a higher rate of poverty, lower level of educational attainment and clustering in urban areas are common among minority ethnic/racial groups at the state level. These disparity graphs are a snapshot into the ways in which disparities exist among health factors and outcomes in the state. Developing an understanding of why these disparities occur requires knowledge about existing programs and policies and also health behavior patterns of the different subgroups. We encourage using these graphs as a starting point for further investigation into why disparities exist, why some are worsening, and for finding interventions to reduce and eliminate them.
Education: The domain of education was included in the Progress Report as an illustration of socioeconomic disparities in health.
Urbanization: Where someone lives can have an impact on their health, so the domain of urbanization was included to illustrate differences in health based on the physical and social environment. Urbanization is a measure of the degree of urban, or city-like, character of the county in which a person lives.
Race/ethnicity: Health disparities between racial and ethnic groups exist in Wisconsin and across the entire United States. For this Progress Report, health is assessed for all racial/ethnic groups where data is available.
Health of Wisconsin Progress Report Urbanization Classification | National Center for Health Statistics 2006 Urban-Rural Classification* | National Center for Health Statistics Classification Description* |
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Large urban | Large central metro |
Counties in a metropolitan statistical area of 1 million or more population:
1) that contain the entire population of the largest principal city of the metropolitan statistical area, or 2) whose entire population resides in the largest principal city of the metropolitan statistical area, or 3) that contain at least 250,000 of the population of any principal city in the metropolitan statistical area |
Suburban/urban | Large fringe metro | Counties in a metropolitan statistical area of 1 million or more population that do not qualify as large central |
Medium metro | Counties in a metropolitan statistical area of 250,000 to 999,999 population | |
Non-urban | Small metro | Counties in a metropolitan statistical area of 50,000 to 249,999 population |
Micropolitan | Counties in a micropolitan (urban cluster of 10,000 or more people) statistical area | |
Rural | Noncore | Counties that are neither metropolitan nor micropolitan |
This table includes all the information on page 5 in the printed report. In addition it includes a column for the difference (between observed and expected), 90% Confidence Interval values (around the current observed rate), and, where available, Current Observed Values for the best and worst performing states.
Current Observed Rate= Rate or percentage provided for the most current year from the data sources
Expected = Value expected for the current year using a 10-year linear regression model for the previous 10 years
Difference = Observed Value - Expected Value
Percent Difference = (Observed Value - Expected Value)/Expected Value*100
Current Progress = Based on direction and significance of the Percent Difference value (see page 3 of report or FAQs for cut-off values)
Best State Value = Value of the state performing the best on the measure for the current year (followed by state abbreviation)
Worst State Value = Value of the state performing the worst on the measure for the current year (followed by state abbreviation)
Baseline Trend = (e^b - 1)*100 where e=exponential function and b=slope of the logarithmic trend-line
Trend Progress = Based on magnitude of the baseline trend (see page 3 of report or FAQs for cut-off values)
Data come from source listed in the 2013 Progress Report (page 13) unless otherwise noted.
¹Data from 2012 CDC Wonder Data. Wisconsin values (for direct comparison): All ages death rate (707.8), Infant death rate (5.7), 1-24 year old death rate (34.3), 25-64 year old death rate (284.1), 65+ year old death rate (4276.1)
²Data from CDC National Vital Statistics Report, Volume 62, Number 1, http://www.cdc.gov/nchs/data/nvsr/nvsr62/nvsr62_09.pdf Wisconsin: 21.9
ˆData are from the Child & Adolescent Health Measurement Initiative's 2011/2012 National Survey of Children's Health. Childhealthdata.org. Wisconsin value for comparison: 4.6
˚Data are from the Census Bureau's Current Population Survey for 2013 as published by the Kaiser Family Foundation State Health Facts at kff.org (WI: 14.0%)
Current Progress: = Current rate is worse than expected rate (p<0.10) = Current rate is no different than expected rate = Current rate is better than expected rate (p<0.10) |
Where available, the most current year of data and the baseline trend are presented graphically by gender, race/ethnicity, geography, and socioeconomic status.