Summary: Demographic Profile

Demography is the science of human populations and their change over time, and the United States Census reveals important demographic changes decade-by-decade that affect politics, government and public policy. One of the most important demographic trends is that the U.S. has become a far more multicultural and multilingual society than it was in 1960, due in part from changes in the immigration laws in 1965 that abolished the quota system of the National Origins Act that favored European immigrants. As a result, Asians and Hispanics have been the majority of new immigrants over the past forty years and states like California and Texas already have majority-minority populations or soon will have. At some point in the 21st Century, the U.S. as a whole is going to become a majority-minority society for the first time in its history. Another major demographic trend is the rapid growth of the over-65 population as the Baby Boom generation begins to retire, which will mean heavier expenditures on federal entitlement programs like Medicare and Social Security. Elderly voters are also the most politically active group, especially when protecting these key safety net programs, and this has become a major political and public policy issue in recent years.

For the past two decades Utah County has been ranked among those US counties with healthiest populations. In spite of this, assessment on life expectancy of the inhabitants of Utah State shows that some problems have cropped into the local occupants depriving them of their once notable rich health status (Novilla, Barnes, Hanson, West & Edwards, 2011). A close examination shows that there are inherent health disparities among Utah citizens and this is as a result of the notable variations in life expectancies among different groups. Research shows that in some parts of the Utah state, life expectancy is 80 years while in the other areas within the same state the life expectancy is 70 years. Research shows that Utah ranking

San Diego is a nice place to live because of the great weather year round, an abundance of job opportunities, access to healthcare, and

How Can These Challenges Be Addressed. The changing of disability rates, the size of the economy and efforts at privatization may affect how much of an economic burden these programs will impose in the future. As a result, household financial wealth in the world's major economies will be roughly $31 trillion lower in 20 years than it would have been if historical demographic trends had persisted. Raising the retirement age, easing restrictions on immigration, encouraging families to have more children, and achieving faster economic growth will have little impact on this shortfall. To fill it, households and governments will have to increase their savings rates and national economies will have to allocate capital more efficiently, thereby boosting returns (Farrell, 2005).

First, there is Jim Taylor, Hospital CEO, District 16; second, Tondra Young, Clinical Lab Supervisor, District 24; lastly, Corey Anderson, Floor Technician, District 21. The population of each district decreases in average income, education level and life expectancy than its preceding district, beginning with district 16, Jim Taylor’s district. District 16 has an average combined household income of approximately $120,000/ annually. In this district, 65% of the population has a college degree and the life expectancy in this district is 82 years. Whereas, Tondra Young’s district, district 24, has an average combined household income of $70,000/annually and 15% of the population has a college degree. The life expectancy of district 24 is 75 years, that’s 7 years less than district 16. In district 21, Corey Anderson’s district, the average combined household income is less than $50,000/ annually and only 5% of the districts population have college degrees. Consequently, the life expectancy of district 21 is 70 years, 5 years less than district 24 and 12 years less than district 16 (Adelman 2008). The results of this study are indisputable: there is an obvious correlation between social/economic status and health status. As each districts average income and education level decrease, average life expectancy coincides. This leads to the next question: why does social and economic status so greatly influence health status?

Just South of California's capital city of Sacramento, one will find a thriving community in the heart of beautiful Sacramento County. Just minutes outside of Sacramento, is a small city that maintains its charming small-town appeal, all the while offering its residents big city amenities.

Santa Clara County has a growing diverse population regarding age, race, language, cultures, and sexual orientation. There are 1,874,526 residents, with 26.6% are ages 0 to 19, 29.4% are between 20 to 39 years old, 28.3% are between 40 to 59 years old, and 15.7% are 60 years of age and older; specifically, 11% of the total population is seniors aged 65 and over (California Department of Finance, 2014). At present, Santa Clara County has the second fastest growing population (1.47%) in 58 counties of California, just behind Alameda County (1.68%) while California’s growing rate is 0.88% (The U.S. Census Bureau, 2013). By gender, there are 893,851 males and 887,791 females. Between 2011 and 2012, approximately 31,000 residents of 1.2 million adults in the county have identified their sexual orientation as homosexual, and 16,000 residents as bisexual (credit). In terms of race, the county is predominantly made up of Whites (34%), followed by Asians (33%), Latinos/Hispanics (27%), African Americans (3%), and two or more races (3%) (Credit). In other words, more than 63% of the population is non-Whites, indicating diversity and multilingualism. The past decade, the total population in Santa Clara County has increased, from 1,682,585 residents in 2000 to 1,781,642 residents currently, and is estimated to have 2,063,100 residents in 2020. As the total population grows, so does the population of seniors aged 60 and over, from 15.7% at present

Though economic inequality and homelessness are major challenges for the city, it does not wholly define Santa Monica’s culture. Overall, Santa Monica’s politics are largely progressive and they translate to the types of people and businesses who call the city home. One resident says Santa Monica is what happens when “hippies get rich” (M. Rich, personal communication, May 10, 2017). Hence, there are many benefits to living and working in this community. Primarily, the various government departments and social agencies, which make up some of the fabric and networks of this community, readily offer their services.

In order to best describe the cultural landscape of Stafford County and Fredericksburg city, one must analyze the historical conditions that shaped the modern landscape, which will provide insight into present-day demographics as well as future projections. Throughout the seventeenth and eighteenth centuries, settlements in Virginia rapidly spread westward from the Tidewater Region. Navigable rivers provided the means of movement, as settlers sailed into the Piedmont. While large plantations were initially established in a dispersed and decentralized pattern, several towns of small size began to prosper as sites of tobacco shipment inspection. The exploration of the Rappahannock River dates to 1608, when Captain John Smith visited the falls and encountered indigenous Native

In 2016 Mercury News listed San Francisco as the third most expensive place to live in the country. Also in the top ten (number five) was the San Jose, Sunnyvale, and Santa Clara area in the South Bay. The numbers helped to validate what our group believes, that it is very expensive to live here. We chose to consider the problem of the high cost of living in the Bay Area and how it has affected the area. Part of the reason that the housing in the Bay Area has become more expensive is an influx of highly paid employees. As one of the main hubs for tech jobs in the world, the Bay Area attracts small startups to huge companies such as Google. Mercury News reported that the average wage in Santa Clara County is 59% above the national average

Demographics is the study of human population based on statistical facts of the social and economic characteristics of a locality. This report describes the demographic outline of Orange County, California, which is located east of the Pacific Ocean and south of Los Angeles County. As of 2014, the population was 3,086,331 making it the third most populated county in Southern California (U.S. Census Bureau, 2014). Primarily known as “The OC,” Orange County is famous for its tourist attractions and beaches that stretch along more than 40 miles of coastline. The OC is a comprehensive metropolitan to its 34 cities, with the four largest cities each exceeding a population of 200,000 (Orange County, 2016). It ranked as the sixth most populous county in the United States showing a combination range of statistic data based off race and ethnicity, education, household and income, healthcare, and economy.

The demographics in Sonoma County are quite diverse. The county itself is a land filled with urban homes as well as rural farm lands that span a total of nine cities. There is an estimated population of 487,011 people which is considered to rise 8.3% in the next four years as stated by the California Department of Finances [citation]. At 64.2%, a large number of the residents in the county are either white or non-Hispanic while the remaining 25.6% are Hispanic. As stated in the Santa Rosa CHNA report, among the nine cities in Sonoma County, Santa Rosa is the largest and is one of the two cities expected to grow the fastest. There are many health needs that must be focused on in order to promote better health to all of those residing in Santa Rosa. The main health needs for Santa Rosa include: healthy eating and physical fitness, gaps in access to primary care, access to substance use disorder services, barriers to healthy aging, access to mental health services, disparities in educational attainment, cardiovascular disease, adverse childhood experiences study, access to health care coverage, tobacco use, coordination and integration of the local health care system, disparities in oral health, and lung, breast and colorectal cancer. (Kaiser Permanente, 2013, Community Health Needs Assessment, License #11000213, Santa Rosa)

To begin, Merced, a part of the San Joaquin Valley, sits in the center of California. Its six cities; Atwater, Livingston, Los Banos, Gustine, Dos Palos, and the city of Merced create a medium-sized mainly rural area that is vacant of much industrial life. As of 2015, it has a reported population of 268,455 residents (Data USA, 2017). Most of the population is from Hispanic or Latino origin. The population is then followed by White and Asian groups as the second largest population group, followed by small ethnic groups such as African Americans, Hawaiians, and Natives who also reside in the county. The overall median age including both native and foreign born is about 31 in comparison to the national average of about 37.2 . The county of Merced

For the past two decades Utah County has been ranked among those US counties with healthiest populations. In spite of this, assessment on life expectancy of the inhabitants of Utah State shows that some problems have cropped into the local occupants depriving them of their once notable rich health status (Novilla, Barnes, Hanson, West & Edwards, 2011). A close examination shows that there are inherent health disparities among Utah citizens and this is as a result of the notable variations in life expectancies among different groups. Research shows that in some parts of the Utah state, life expectancy is 80 years while in the other areas within the same state the life expectancy is 70 years. Research shows that Utah ranking

The general health stats for the entire County of Los Angeles show the average grading for healthy lifestyles at 3.5 out of a possible 5. Keep in mind that individuals differ along with living conditions and locations, influencing better or worst behavioral habits.