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Complete Health Indicator Report of Community Design: Proximity of Population and Schools to Highways

Definition

Distribution of public schools within 150 meters of a highway by county[[br]] Percentage of the population living within 150 meters of a highway by county

Numerator

Percent of public schools located within 150 meters of a highway[[br]] Number of public schools located within 150 meters of a highway[[br]] Percent of population living within 150 meters of a highway[[br]] Number of people living within 150 meters of a highway

Denominator

Total number of public schools in a county[[br]] Total population in a county

Data Interpretation Issues

Proximity to a highway is a surrogate for exposure to traffic-related air pollution. The size of potential exposure zones and levels of exposure can vary considerably depending on the pollutant, traffic volume, ambient pollution concentrations, meteorological conditions, topography, and land use.

Why Is This Important?

Motor vehicles are a major source of air pollution in the United States. Research suggests that particulate matter (PM) from vehicles, notably heavy-duty diesel vehicles, may be especially harmful. [[br]][[br]] Motor vehicle pollutant concentrations tend to be higher closer to the road, with the highest levels generally within the first 500 feet of a roadway and reaching background levels within approximately 2,000 feet of a roadway, depending on the pollutant, time of day and surrounding terrain. 3.2% of Utahns, or 88,505 people, lived within 150 meters (492 feet) of a highway. [[br]][[br]] Nearly 17,000 schools in rural and urban areas across the U.S. are located near heavily traveled roads. There are 33 public schools in Utah that are located within 150 meters of a highway. Kane County has the highest percentage of schools (27.3%) that are located within 150 meters of a highway. [[br]][[br]] Exposure to traffic-related air pollution has been linked to a variety of short- and long-term health effects. Children are particularly sensitive to air pollution, because their respiratory systems are not fully developed, they are more active, and they breathe more rapidly than adults. Children also are more likely than adults to have asthma.


Graphical Data Views

Highway Proximity: Number of People Living Within 150m of a Highway by County, Utah, 2010

::chart - missing::

CountyNumber of People
Record Count: 29
Beaver40
Box Elder2,064
Cache3,819
Carbon754
Daggett6
Davis11,310
Duchesne226
Emery23
Garfield23
Grand193
Iron1,306
Juab167
Kane69
Millard79
Morgan69
Piute9
Rich3
Salt Lake32,116
San Juan44
Sanpete55
Sevier345
Summit1,013
Tooele43
Uintah1,163
Utah24,995
Wasatch993
Washington3,760
Wayne0
Weber3,818

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Class 1 and class 2 roads were selected to represent major highways in the United States. The Federal Highway Administration (FHWA) Functional Classification System classifies interstates as class 1 and freeways and expressways as class 2. Esri ArcGIS 10.1 software was used to calculate the number of schools within a 150m buffer around all class 1 and class 2 roads. Population estimates were based on population counts within census tracts made publicly available by the US Census (2010, 100% count data). The proportion of each census tract included within the buffer area was calculated and summed from the census tract level to the county level.

Data Sources

  • U.S. Census Bureau, 2010 Census
  • NAVTEQ, ESRI StreetMap Premium HERE


Highway Proximity: Number of Public Schools Located Within 150m of a Highway by County, Utah, 2010-2011

::chart - missing::

CountyNumber of Public Schools
Record Count: 29
Beaver0
Box Elder0
Cache2
Carbon1
Daggett0
Davis1
Duchesne3
Emery0
Garfield1
Grand1
Iron0
Juab0
Kane3
Millard2
Morgan0
Piute0
Rich0
Salt Lake5
San Juan1
Sanpete2
Sevier0
Summit2
Tooele0
Uintah0
Utah4
Wasatch2
Washington2
Wayne0
Weber1

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Class 1 and class 2 roads were selected to represent major highways in the United States. The Federal Highway Administration (FHWA) Functional Classification System classifies interstates as class 1 and freeways and expressways as class 2. Esri ArcGIS 10.1 software was used to calculate the number of schools within a 150m buffer around all class 1 and class 2 roads. Population estimates were based on population counts within census tracts made publicly available by the US Census (2010, 100% count data). The proportion of each census tract included within the buffer area was calculated and summed from the census tract level to the county level.

Data Sources

  • National Center for Educational Statistics (NCES)
  • NAVTEQ, ESRI StreetMap Premium HERE


Highway Proximity: Percentage of People Living Within 150m of a Highway by County, Utah, 2010-2011

::chart - missing::

CountyPercentage of People
Record Count: 29
Beaver0.6%
Box Elder4.1%
Cache3.4%
Carbon3.5%
Daggett0.6%
Davis3.7%
Duchesne1.2%
Emery0.2%
Garfield0.4%
Grand2.1%
Iron2.8%
Juab1.6%
Kane1.0%
Millard0.6%
Morgan0.7%
Piute0.6%
Rich0.1%
Salt Lake3.1%
San Juan0.3%
Sanpete0.2%
Sevier1.7%
Summit2.8%
Tooele0.1%
Uintah3.6%
Utah4.8%
Wasatch4.2%
Washington2.7%
Wayne0.0%
Weber1.7%

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Class 1 and class 2 roads were selected to represent major highways in the United States. The Federal Highway Administration (FHWA) Functional Classification System classifies interstates as class 1 and freeways and expressways as class 2. Esri ArcGIS 10.1 software was used to calculate the number of schools within a 150m buffer around all class 1 and class 2 roads. Population estimates were based on population counts within census tracts made publicly available by the US Census (2010, 100% count data). The proportion of each census tract included within the buffer area was calculated and summed from the census tract level to the county level.

Data Sources

  • U.S. Census Bureau, 2010 Census
  • NAVTEQ, ESRI StreetMap Premium HERE


Highway Proximity: Percentage of Public Schools Located Within 150m of a Highway by County, Utah, 2010-2011

::chart - missing::

CountyPercentage of Public Schools
Record Count: 29
Beaver0.0%
Box Elder0.0%
Cache4.5%
Carbon9.1%
Daggett0.0%
Davis0.9%
Duchesne20.0%
Emery0.0%
Garfield11.1%
Grand16.7%
Iron0.0%
Juab0.0%
Kane27.3%
Millard18.2%
Morgan0.0%
Piute0.0%
Rich0.0%
Salt Lake1.6%
San Juan8.3%
Sanpete14.3%
Sevier0.0%
Summit10.5%
Tooele0.0%
Uintah0.0%
Utah2.4%
Wasatch22.2%
Washington4.1%
Wayne0.0%
Weber1.2%

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Class 1 and class 2 roads were selected to represent major highways in the United States. The Federal Highway Administration (FHWA) Functional Classification System classifies interstates as class 1 and freeways and expressways as class 2. Esri ArcGIS 10.1 software was used to calculate the number of schools within a 150m buffer around all class 1 and class 2 roads. Population estimates were based on population counts within census tracts made publicly available by the US Census (2010, 100% count data). The proportion of each census tract included within the buffer area was calculated and summed from the census tract level to the county level.

Data Sources

  • National Center for Educational Statistics (NCES)
  • NAVTEQ, ESRI StreetMap Premium HERE

More Resources and Links

Evidence-based community health improvement ideas and interventions may be found at the following sites:

Additional indicator data by state and county may be found on these Websites:

Medical literature can be queried at the PubMed website.

Page Content Updated On 07/13/2018, Published on 08/10/2018
The information provided above is from the Department of Health's Center for Health Data IBIS-PH web site (http://ibis.health.state.gov). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Tue, 18 June 2019 13:47:31 from Department of Health, Center for Health Data, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.gov ".

Content updated: Fri, 10 Aug 2018 13:54:07 MDT