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Metadatos de: COUNTY HEALTH RANKINGS, part 2, Fundación Robert Wood Johnson-Wisconsin University, 2017


Autor del Metadato
Abstract

The County Health Rankings & Roadmaps program helps communities identify and implement solutions that make it easier for people to be healthy in their neighborhoods, schools, and workplaces. Ranking the health of nearly every county in the nation, the County Health Rankings illustrate what we know when it comes to what is keeping people healthy or making people sick and how the opportunity for good health differs from one county to the next. Supporting a call to action, the Roadmaps show what we can do to create healthier places for everyone to live, learn, work, and play. The Robert Wood Johnson Foundation collaborates with the University of Wisconsin Population Health Institute to bring this program to communities across the nation.

Summary of Key Findings

Now in its eighth year, the County Health Rankings continue to bring revealing data to communities across the nation.
More Americans are dying prematurely, notably among our younger generations Premature death rates rose across urban and rural community types and racial/ethnic groups in 2015. Premature death has consistently been highest in rural counties and among American Indian/Alaskan Native and black populations.
In recent years, premature death increased most among those ages 15–44.

Drug overdose and other injury deaths heavily influenced the rise in premature death Drug overdose was by far the single leading cause of premature death by injury in 2015 and contributed to the accelerated rise in premature death from 2014 to 2015.
Large suburban metro counties went from having the lowest to the highest rate of premature death due to drug overdose within the past decade.
For those ages 15–24, an increase in drug overdose deaths was part of the equation, but more deaths due to motor vehicle crashes and firearm fatalities also played a role in the accelerated rise in premature death.

A focus on opportunities for youth and young adults Disconnected youth (a new measure this year) are youth and young adults ages 16–24 who are not in school and not working, and represent untapped potential to strengthen the social and economic vibrancy of local communities. In 2015, there were about 4.9 million youth – or 1 out of 8 – not in school or working.
Youth disconnection is most prevalent among American Indian/Alaskan Native, black, and Hispanic youth. Rates of youth disconnection are higher in rural counties than in urban counties. Places with high levels of youth disconnection have higher rates of unemployment, child poverty, children in single-parent households, teen births, and lower levels of educational attainment – all barriers to a successful transition from youth to healthy adulthood.

Purpose

The annual Rankings provide a revealing snapshot of how health is influenced by where the north american people live, learn, work and play. They provide a starting point for change in communities.

Colaboradores

, under the direction of the University of Wisconsin Population Health Institute in collaboration with the Robert Wood Johnson Foundation and Burness. Forum One is a digital agency that partners with influential organizations to craft solutions for the world’s most pressing problems.

Forum One provided the County Health Rankings & Roadmaps program team with digital strategy, user experience, and technical development.

Keywords
Efecto Trump
Fecha de publicación

2017-04-05 00:29:00

Derechos
County Health Rankings & Roadmaps
Edición

County Health Rankings & Roadmaps

Categoria

Salud

Nombre Administrativo

USA

Historial del procesamiento
No se provee información

Fuente
County Health Rankings & Roadmaps
Supplemental information

No se provee información


Información de Contacto

Contacto registrado

Correo Electrónico
ad@m.in


WKT

POLYGON((-124.725839 24.498131,-124.725839 49.384358,-66.949895 49.384358,-66.949895 24.498131,-124.725839 24.498131))

Codigo de la proyección

EPSG:4326


Dominio espacial
Oeste

-124.7258390000

Este

-66.9498950000

Norte

24.4981310000

Sur

49.3843580000

Periodo de validez de datos

Atributos
Attribute Name Description
m_59_cihig Demographics 95% CI - High
m_56_Numer Demographics # Hispanic
m_131_valu Other primary care providers Other PCP Rate
m_127_valu Premature age-adjusted mortality Age-Adjusted Mortality
County County name
State State name
m_128_cihi Child mortality 95% CI - High
m_129_nume Infant mortality # Deaths
m_129_cilo Infant mortality 95% CI - Low
m_129_cihi Infant mortality 95% CI - High
m_144_valu Frequent physical distress % Frequent Physical Distress
m_144_cilo Frequent physical distress 95% CI - Low
m_144_cihi Frequent physical distress 95% CI – High
m_145_valu Frequent mental distress % Frequent Mental Distress
m_129_valu Infant mortality Infant Mortality Rate
FIPS Federal Information Processing Standard
STATEFP
GEOID
NAME
ALAND
AWATER
m_127_nume Premature age-adjusted mortality # Deaths
m_128_valu Child mortality Child Mortality Rate
m_128_cilo Child mortality 95% CI - Low
COUNTYFP
m_127_cilo Premature age-adjusted mortality 95% CI - Low
m_127_cihi Premature age-adjusted mortality 95% CI - High
m_128_nume Child mortality # Deaths
m_3_cihigh Uninsured adults 95% CI - High
m_122_nume Uninsured children # Uninsured
m_122_valu Uninsured children % Uninsured
m_122_cilo Uninsured children 95% CI - Low
m_122_cihi Uninsured children 95% CI - High
m_145_cilo Frequent mental distress 95% CI - Low
m_145_cihi Frequent mental distress 95% CI – High
m_60_value Diabetes prevalence % Diabetic
m_60_cilow Diabetes prevalence 95% CI - Low
m_60_cihig Diabetes prevalence 95% CI - High
m_61_numer HIV prevalence # HIV Cases
m_61_value HIV prevalence HIV Prevalence Rate
m_139_nume Food insecurity # Food Insecure
m_139_valu Food insecurity % Food Insecure
m_83_numer Limited access to healthy foods # Limited Access
m_83_value Limited access to healthy foods % Limited Access
m_138_nume Drug overdose deaths
m_138_valu Drug overdose deaths Drug Overdose Mortality Rate
m_39_numer Motor vehicle crash deaths # Motor Vehicle Deaths
m_39_value Motor vehicle crash deaths MV Mortality Rate
m_39_cilow Motor vehicle crash deaths 95% CI - Low
m_39_cihig Motor vehicle crash deaths 95% CI - High
m_143_valu Insufficient sleep % Insufficient Sleep
m_143_cilo Insufficient sleep 95% CI - Low
m_143_cihi Insufficient sleep 95% CI - High
m_3_numera Uninsured adults # Uninsured
m_3_value Uninsured adults % Uninsured
m_3_cilow Uninsured adults 95% CI - Low
m_81_Numer Demographics # Asian
m_81_value Demographics % Asian
m_80_Numer Demographics # Native Hawaiian/Other Pacific Islander
m_80_value Demographics % Native Hawaiian/Other Pacific Islander
m_86_value Health care costs Costs
m_131_RATI Other primary care providers Other PCP Ratio
po_dis_you Disconnected youth % Disconnected Youth
m_63_value Median household income Household Income
m_63_cilow Median household income 95% CI - Low
m_63_cihig Median household income 95% CI - High
m_65_value Children eligible for free or reduced price lunch % Free or Reduced Lunch
m_141_valu Residential segregation - black/white Segregation index
m_142_valu Residential segregation - non-white/white Segregation Index
m_15_value Homicides Homicide Rate
m_15_cilow Homicides 95% CI - Low
m_15_cihig Homicides 95% CI - High
m_148_num Firearm fatalities # Firearm Fatalities
m_148_valu Firearm fatalities Firearm Fatalities Rate
m_148_cl Firearm fatalities 95% CI - Low
m_148_ch Firearm fatalities 95% CI - High
m_51_value Demographics Population
m_52_value Demographics % < 18
m_53_value Demographics % 65 and over
m_54_Numer Demographics # African American
m_54_value Demographics % African American
m_55_Numer Demographics # American Indian/Alaskan Native
m_55_value Demographics % American Indian/Alaskan Native
m_56_value Demographics % Hispanic
m_126_Nume Demographics # Non-Hispanic White
m_126_valu Demographics % Non-Hispanic White
m_59_numer Demographics # Not Proficient in English
m_59_value Demographics % Not Proficient in English
m_59_cilow Demographics 95% CI - Low
m_57_value Demographics % Female
m_58_numer Demographics # Rural
m_58_value Demographics % Rural

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