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Complete Health Indicator Report of Community Design: Access to Parks and Elementary Schools

Definition

Proximity of residential neighborhoods to parks and public elementary schools

Numerator

Number of people living within a half mile of a park [[br]][[br]] Number of children ages 5-9 years living within a half mile of a park

Denominator

Total number of people in each geographic unit (i.e., county)[[br]][[br]] Children ages 5-9 years

Data Interpretation Issues

The estimates for the population residing within a half-mile of a park are derived estimates. The area-proportion estimates for race and ethnic subgroups are limited to 2010 data. Hispanic, White Non-Hispanic, Black Non-Hispanic, Other Non-Hispanic, and Multirace Non-Hispanic were summed to determine the total proportion for each block. Each of these estimates were rounded at each of the geographic aggregation units then summed for the total half-mile population estimate. We employed this approach to maintain internal consistency within the county, state, and national estimates. It is possible a statistically insignificant difference in the estimate could occur due to rounding. Parks: Using percent of population living within a half mile of a park as a proxy for proximity may underestimate the number of people who have access to parks in populations that are willing to travel farther to reach a park. Similarly, people may use parks located close to their schools or places of work rather than parks close to their homes. Conversely, this may overestimate access since walk routes to park entrances may be unsafe or much farther than a direct line from a residence to a park boundary. Schools: Living in close proximity to a school does not guarantee active commuting; there are additional factors, including personal preference, safety, and convenience, that families may consider when deciding how to travel to a school. Radial proximity may also be different from the actual distance that families travel along street networks to reach a school. Low street segment connectivity, poor intersection density, traffic congestion, and road condition may make the actual distance traveled longer than that assumed through radial measures, which may influence children's type of transportation to school. Additionally, data entry errors and omissions may be inherent in the data.

Why Is This Important?

In a well-designed community, homes, parks, stores, and schools are connected by safe walking and biking routes. Such routes allow all members of the community a chance to enjoy the outdoors and improve physical and mental health. The closer you live to a park or school, the more likely you are to walk or bike to those places. However, only a small number of people in the United States live within half a mile of a park or public school.


Graphical Data Views

Children Aged 5 to 9 Years Living Within a Half Mile of a Public Elementary School (Count) by County, Utah, 2010

::chart - missing::

CountyNumber of Children Aged 5 to 9
Record Count: 30
Beaver275
Box Elder1,894
Cache4,373
Carbon487
Daggett29
Davis15,415
Duchesne487
Emery404
Garfield116
Grand187
Iron1,206
Juab362
Kane136
Millard176
Morgan160
Piute29
Rich54
Salt Lake52,324
San Juan259
Sanpete747
Sevier525
Summit688
Tooele3,114
Uintah520
Utah28,023
Wasatch462
Washington4,458
Wayne63
Weber9,482
State9,482

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Park data: Number of people within a buffer of a mile radius of a park was determined at the census tract level. These estimates are aggregated to county, state, and national levels. Percentages of people living within a half mile of the park boundary are calculated for the census tract, county, state, and national levels. Schools data: The National Center for Educational Statistics dataset provides street address information that is converted to a latitude and longitude representing school locations as a single point instead of polygonal. Representing schools as a single point makes their spatial information sensitive to even small fluctuations in geocoding accuracy and underestimates the number of people within half mile of some piece of their property. Census data: The US Census is updated only every 10 years, so 5-9 year old children in 2010 will be out of the age range in 2015.

Data Sources

  • U.S. Census Bureau, 2010 Census
  • National Center for Educational Statistics (NCES)


People Living Within a Half Mile of a Park (Count) by County, Utah, 2015

::chart - missing::

YearCountyNumber of People
Record Count: 29
2015Beaver6,238
2015Box Elder30,650
2015Cache66,857
2015Carbon15,145
2015Daggett755
2015Davis212,998
2015Duchesne5,245
2015Emery10,188
2015Garfield4,953
2015Grand8,976
2015Iron33,199
2015Juab5,735
2015Kane6,930
2015Millard11,110
2015Morgan1,627
2015Piute1,809
2015Rich1,446
2015Salt Lake837,391
2015San Juan8,919
2015Sanpete18,607
2015Sevier18,335
2015Summit11,246
2015Tooele36,935
2015Uintah28,740
2015Utah462,462
2015Wasatch21,097
2015Washington132,357
2015Wayne2,705
2015Weber171,819

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Park data: Number of people within a buffer of a mile radius of a park was determined at the census tract level. These estimates are aggregated to county, state, and national levels. Percentages of people living within a half mile of the park boundary are calculated for the census tract, county, state, and national levels. Schools data: The National Center for Educational Statistics dataset provides street address information that is converted to a latitude and longitude representing school locations as a single point instead of polygonal. Representing schools as a single point makes their spatial information sensitive to even small fluctuations in geocoding accuracy and underestimates the number of people within half mile of some piece of their property. Census data: The US Census is updated only every 10 years, so 5-9 year old children in 2010 will be out of the age range in 2015.

Data Sources

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


Children Aged 5 to 9 Years Living Within a Half Mile of a Public Elementary School (Percentage) by County, Utah, 2010

::chart - missing::

CountyPercentage of Children Aged 5 to 9
Record Count: 30
Beaver80%
Box Elder73%
Cache77%
Carbon66%
Daggett81%
Davis75%
Duchesne75%
Emery71%
Garfield60%
Grand78%
Iron74%
Juab71%
Kane55%
Millard77%
Morgan57%
Piute48%
Rich82%
Salt Lake81%
San Juan69%
Sanpete72%
Sevier76%
Summit59%
Tooele80%
Uintah55%
Utah78%
Wasatch60%
Washington71%
Wayne61%
Weber77%
State77%

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Park data: Number of people within a buffer of a mile radius of a park was determined at the census tract level. These estimates are aggregated to county, state, and national levels. Percentages of people living within a half mile of the park boundary are calculated for the census tract, county, state, and national levels. Schools data: The National Center for Educational Statistics dataset provides street address information that is converted to a latitude and longitude representing school locations as a single point instead of polygonal. Representing schools as a single point makes their spatial information sensitive to even small fluctuations in geocoding accuracy and underestimates the number of people within half mile of some piece of their property. Census data: The US Census is updated only every 10 years, so 5-9 year old children in 2010 will be out of the age range in 2015.

Data Sources

  • U.S. Census Bureau, 2010 Census
  • National Center for Educational Statistics (NCES)


People Living Within a Half Mile of a Park (Percentage) by County, Utah, 2015

::chart - missing::

YearCountyPercentage of People
Record Count: 30
2015Beaver97%
2015Box Elder60%
2015Cache57%
2015Carbon72%
2015Daggett97%
2015Davis66%
2015Duchesne26%
2015Emery95%
2015Garfield98%
2015Grand96%
2015Iron70%
2015Juab55%
2015Kane96%
2015Millard88%
2015Morgan16%
2015Piute97%
2015Rich63%
2015Salt Lake78%
2015San Juan59%
2015Sanpete66%
2015Sevier88%
2015Summit29%
2015Tooele61%
2015Uintah80%
2015Utah84%
2015Wasatch79%
2015Washington89%
2015Wayne99%
2015Weber72%
2015State75%

Data Notes

Data are extracted from the National Environmental Public Health Tracking Network using their API. Park data: Number of people within a buffer of a mile radius of a park was determined at the census tract level. These estimates are aggregated to county, state, and national levels. Percentages of people living within a half mile of the park boundary are calculated for the census tract, county, state, and national levels. Schools data: The National Center for Educational Statistics dataset provides street address information that is converted to a latitude and longitude representing school locations as a single point instead of polygonal. Representing schools as a single point makes their spatial information sensitive to even small fluctuations in geocoding accuracy and underestimates the number of people within half mile of some piece of their property. Census data: The US Census is updated only every 10 years, so 5-9 year old children in 2010 will be out of the age range in 2015.

Data Sources

  • U.S. Census Bureau, 2010 Census
  • 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 07/10/2018, 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 Sun, 15 September 2019 6:37:27 from Department of Health, Center for Health Data, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.gov ".

Content updated: Thu, 20 Jun 2019 13:03:27 MDT