When planning for health, low-income populations often need additional attention. The following information gives planners some tools to understand this populations specific health issues and how planning can influence them.
Persons living in poverty are considerably more likely to be in fair or poor health and to have disabling conditions.1 Those that live in low-income neighborhoods may well lack services.
Low income people have a myriad of accessibility limitations since they have fewer transportation options. They may have less access to health care services, jobs, grocery stores, financial institutions, social contacts, etc.2
Poor people often eat less nutritious food and they have fewer nearby health food options; however, it is unclear whether or not the reason poor people have less healthy diets is distance to food stores since there may be other potential explanations, including price and preferences.3,4
Many people under age 65, particularly those with low incomes, do not have health insurance coverage consistently throughout the year, compounding other disadvantages.1
In terms of exposure to environment and household pollutants, there is some evidence that these impacts are inordinately borne by racial minorities and those with low incomes.5,6
Most of these disadvantages are not related to the built environment at the scale of then neighborhood, city or metropolis but rather reflect individual and family characteristics. However, the domain of planning can influence some health issues.
Accessibility, the ability to reach a variety of destinations, is critical to many dimensions of a healthy community. Particularly for the elderly, the young, people with disabilities or the financially disadvantaged, transit is the mode of transportation that provides such access (where walking or cycling is too burdensome).4
A study conducted in 1999, for example, examined the socio-demographic characteristics of people living near industrial sources of air pollution in three different areas in the United States . This study showed that African Americans and those living in households below the poverty line are more likely to live closer to these sources of pollution.15
Several studies, focused on environmental justice, have found that poor communities and/or communities of color are more likely to live near and be exposed to environmental hazards. However, findings on whether it is race alone, class alone or both factors that determines these findings have been mixed.8,16
Evidence is mixed as to whether or not nonwhites and those with lower incomes are more likely to live near polluting industrial facilities.9,15,17 However, such residential proximity is a health problem regardless of cause.
In the United States, poor people often live in environments that, compared with middle and upper-middle class areas, are less likely to have access to supermarkets and other venues selling a variety of higher quality food items.18,19,20,21,22,23,24
Many of these topics are dealt with in the Key Questions Research Summaries and Planning Information Sheets This includes:
The City of Boulder, Colorado, has prioritized maintaining and improving its multimodal transportation system within the transportation section of the Boulder Valley Comprehensive Plan. One of the policies focuses on accessibility; it says, “The city and county will develop a balanced all-mode transportation system that provides transportation choices, services, and facilities for people with mobility impairments, as well as youth, older adults, and low-income persons.” 29,30
The City of San Diego 's Land Use and Community Planning element promotes transit accessibility for specialized populations. Policies include: work with regional transit planners to implement small neighborhood shuttles and local connectors; and increase the supply of housing units that are in close physical proximity to transit and to everyday goods and services, such as grocery stores, medical offices, post offices, and drugstores.30,31
The City of Riverside, California addresses low-income populations in the air quality element of the Riverside General Plan 2025. The stated objective is to “Adopt land-use policies that site polluting facilities away from sensitive receptors and vice versa; improve job-housing balance; reduce vehicle miles traveled and length of work trips; and improve the flow of traffic.32 One policy to support this objective is “Ensure that all land-use decisions, including enforcement actions, are made in an equitable fashion to protect residents, regardless of age, culture, ethnicity, gender, race, socioeconomic status or geographic location, from the health effects of air pollution.”14,32
Design for Health offers a number of measurement tools and checklists that cover specialized populations like children.
For example, the Health Impact Assessment (HIA) Threshold Analysis discusses the importance of accessibility for specialized populations including low-income residents.
Center for Universal Design: This is a collaboration between NC State University, the University of Buffalo , and the Global Universal Design Educator Network. It is a terrific site on universal design and includes a section for online resources as well as basic overview articles on universal design.
Centers for Disease Control : The CDC has a wealth of information including some statistics:
Behavioral Risk Factor Surveillance System
This is a national survey of a variety of health related behaviors with data available down to the county level in many metropolitan areas. The SMART (Selected Metropolitan/Micropolitan Area Risk Trends): project is particularly useful that provides access to BRFSS (Behavioral Risk Factor Surveillance System) responses for the Minneapolis-St. Paul Metropolitan Statistical Area , as well as for Hennepin and Ramsey Counties separately. Data are available for 2002-2005.
The National Center for Health Statistics: This site has a wealth of health data. The most readily accessible statistics are at the state level.
- Vital Statistics State and Trends
This site includes an instruction document and a highly formatted excel workbook of basic demographic data, birth data (including premature births, prenatal case, infant deaths), and death data (major causes, age adjusted rates, ethnic breakdown).- Minnesota County Health Tables
These tables contains data on demographics; births and related infant health issues; deaths and causes of death; diseases, medical professionals, and health related behaviors (under morbidity and utilization and under chemical health); and environmental health (e.g. lead poisoning). Diseases range from mumps to Lyme disease and lung cancer; behaviors include seat belt use and driving under the influence.- Fee-based Statistical Requests
For a fee, the Center for Health Statistics will fulfill specific requests pertaining to state and county vital statistics data not readily available in the Center's Minnesota Health Statistics Annual Summary or Minnesota County Health Tables.
*Special thanks to Amanda Johnson and Ashley Miller for their work creating this resource.
|
|