Zip code 95661 is located in the community of Roseville, the largest city in Placer County. It is located 20 miles east of Sacramento and was once considered a railroad town. In 2011, zip code 95661 had a recorded population of 30,730 people and covered an area of approximately 9.0 square miles. It has a population density of 3,414 people per square mile (City-Data, 2011). In comparison, zip code 95945 is located in Grass Valley, which is part of the Nevada County. The city of Grass Valley is historically known as a gold mining town that is geographically located one hour north of Sacramento. As of 2011, zip code 95945 had a recorded population of 24,162 with a total of 64.2 square miles. Although zip code 95945 covers a higher land area,
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In the same year, zip code 95661 reported 282 deaths in Roseville. Both zip codes listed heart disease as the top leading cause of death and cancer as the second leading cause of death (California Department of Public Health, 2012). Zip code 95945 listed both Alzheimer’s and chronic lower respiratory disease tied as the third leading causes of death, while zip code 95661 listed Alzheimer’s disease as the third leading cause of death (CDPH, 2012). Life expectancies for zip code 95945 are about 79.2 years versus 79.5 years for zip code 95661. Heath risk factors for zip code 95945 indicate lack of exercise at 17.4%, obesity at 12.9%, smoking at 8.5%, and diabetes at 8.3% (County Health Rankings & Roadmaps, n.d.). Whereas zip code 95661 health risk factors include poor consumption of fruits and veggies at 68.6%, high blood pressure at 21.1%, obesity at 17.3%, and lack of exercise at 11.3% (County Health Rankings & Roadmaps, n.d.). The common risk factors between the two zip codes are the lack of fruits and vegetables intake as well as living a sedentary lifestyle with minimal physical activity. Grass Valley lacks food services within walking distance, have high concentrations of fast foods, and have insufficient access to healthy food options. In contrast, most restaurants and retail stores are within walking and biking distance in Roseville. Although Roseville offers healthier food …show more content…
According to Stanhope & Lancaster, (2014), with poverty, there are higher rates of chronic illness, shorter life expectancy, and significant complications from chronic disease such as asthma, diabetes, and hypertension. When comparing the two zip codes, Grass Valley has a lower employment rate (2.7%) with a higher poverty level (11.7%) than Roseville (3.3% unemployment and 5.5% of poverty) (Zipskinny, 2014; Zipwho, 2014). As regards to household income, the median income in Grass Valley ($33,629) is lower than Roseville ($58,606) (Zipskinny, 2014; Zipwho, 2014). It is often observed, those that lack health insurance, will also lack preventative health care. Without preventative care, any individual with a health condition may not be screened, diagnosed, or treated. Having a chronic undiagnosed condition, set people at higher risk and more prone to develop other potentially fatal illnesses. In some individuals, health conditions such as diabetes, stroke, and hypertension may be prevented by frequently monitoring their health and acquiring health information during routine doctor visits in order to live a healthy and active life. Overall, most of the data between both zip codes supports the belief that health disparities depend on wealth regardless of race and gender in both regions (Stanhope & Lancaster, 2014). This is evidenced by 385 total
In the same year, zip code 95661 reported 282 deaths in Roseville. Both zip codes listed heart disease as the top leading cause of death and cancer as the second leading cause of death (California Department of Public Health, 2012). Zip code 95945 listed both Alzheimer’s and chronic lower respiratory disease tied as the third leading causes of death, while zip code 95661 listed Alzheimer’s disease as the third leading cause of death (CDPH, 2012). Life expectancies for zip code 95945 are about 79.2 years versus 79.5 years for zip code 95661. Heath risk factors for zip code 95945 indicate lack of exercise at 17.4%, obesity at 12.9%, smoking at 8.5%, and diabetes at 8.3% (County Health Rankings & Roadmaps, n.d.). Whereas zip code 95661 health risk factors include poor consumption of fruits and veggies at 68.6%, high blood pressure at 21.1%, obesity at 17.3%, and lack of exercise at 11.3% (County Health Rankings & Roadmaps, n.d.). The common risk factors between the two zip codes are the lack of fruits and vegetables intake as well as living a sedentary lifestyle with minimal physical activity. Grass Valley lacks food services within walking distance, have high concentrations of fast foods, and have insufficient access to healthy food options. In contrast, most restaurants and retail stores are within walking and biking distance in Roseville. Although Roseville offers healthier food …show more content…
According to Stanhope & Lancaster, (2014), with poverty, there are higher rates of chronic illness, shorter life expectancy, and significant complications from chronic disease such as asthma, diabetes, and hypertension. When comparing the two zip codes, Grass Valley has a lower employment rate (2.7%) with a higher poverty level (11.7%) than Roseville (3.3% unemployment and 5.5% of poverty) (Zipskinny, 2014; Zipwho, 2014). As regards to household income, the median income in Grass Valley ($33,629) is lower than Roseville ($58,606) (Zipskinny, 2014; Zipwho, 2014). It is often observed, those that lack health insurance, will also lack preventative health care. Without preventative care, any individual with a health condition may not be screened, diagnosed, or treated. Having a chronic undiagnosed condition, set people at higher risk and more prone to develop other potentially fatal illnesses. In some individuals, health conditions such as diabetes, stroke, and hypertension may be prevented by frequently monitoring their health and acquiring health information during routine doctor visits in order to live a healthy and active life. Overall, most of the data between both zip codes supports the belief that health disparities depend on wealth regardless of race and gender in both regions (Stanhope & Lancaster, 2014). This is evidenced by 385 total