Where do uninsured Americans live?

This blog was originally posted at: http://smartblogs.com/finance/2013/04/08/where-do-uninsured-americans-live/.

Providing affordable health care has been a hot-button political issue for decades. Many Americans could not afford costs for regular checkups and other preventive health options because they didn’t have health insurance. The lack of insurance became increasingly critical as uninsured patients jammed emergency rooms and clinics. These facilities absorbed the extra cost of treatment, stretching already-strained budgets and increasing health insurance costs for others. According to the U.S. Census Bureau’s Small Area Health Insurance Program, 17.2% of Americans did not have health insurance in 2010. That figure was much lower for those younger than age 19 at just 8.45%. Hispanics had the highest percentage of those without health insurance. In 2010, 32.5% of Hispanics did not have health insurance.

A goal of the new health care initiative was to provide affordable health insurance for everyone. When the Affordable Care Act was passed in March 2010, health insurance was to be made available to every American. Provisions of the law will continue to be enacted in the next several years. Where do the uninsured live? Where and how does the government need to focus its marketing efforts for the Affordable Care Act? A goal is to ensure that Americans are fully informed about the provisions of this new law. These changes also provide numerous opportunities for companies in the health care industry.

Where are uninsured Americans?

People without health insurance live everywhere in the U.S. At 26.3%, Texas has the highest percentage of those without insurance. Florida follows at 25.3% and Nevada at 25.1%. In each of these states, at least 25% of the population is Hispanic. As noted above, Hispanics have a higher rate of uninsured than the average U.S. population.

Massachusetts has the lowest percentage of uninsured Americans at only 5.2%. State law mandates that nearly every resident of Massachusetts must obtain a state-government-regulated minimum level of health care insurance coverage. The law also provides free health care insurance for residents who earn less than 150% of the federal poverty level. The Massachusetts law, passed in 2006, is the basis for much of the Affordable Care Act.

At the county level, more than 41% of the population in Hudspeth County, Texas, and Aleutians East Borough, Alaska, is uninsured — the nation’s highest rates. However, reasons for the high uninsured rate in each county were very different. In 2010, the unemployment rate in Hudspeth County was relatively low at 6.2%, but the median income was approximately half of the U.S. median income. Conversely, Aleutians East Borough has a relatively high unemployment rate of 10.5% in 2010, but its median income was comparable to the U.S. median.

Explore the uninsured rates by state and county in this interactive map:


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Uninsured people under age 19

It is critical that children have access to health care. Although a higher percentage of adults don’t have health care than children, many children are not covered by health insurance during their developmental years. At 17.8%, Nevada has the nation’s highest percentage of uninsured children, followed by Texas (15.3%), and Florida (13.4%). This trend follows closely the number of all uninsured Americans.

Counties with the highest rates of uninsured children are Garfield County, Mont. (40.1%), Esmeralda County, Nev. (33.3%), and Petroleum County, Mont. (31.2%). Each of these counties has very small populations; Garfield County has the largest — just 1,206 people. Although the unemployment rates are relatively low in these three counties and median incomes are just slightly below the U.S. figure, many people still do not have medical insurance coverage. This may be because many work in industries such as agriculture that may not provide medical insurance to employees.

Explore this interactive map to find the percentage of uninsured Americans under the age of 19:


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Health insurance costs

Cost is a major reason why people don’t buy health insurance. Although they want it, many families and individuals simply cannot afford it, so they gamble on good health and remain uninsured. According to Esri, the average household spends about $2,350 per year on health insurance. This amount varies greatly by family composition, individual health conditions, employer contributions and location. Some households may have low insurance costs because employers pay for much of the benefit.

Households in ZIP codes 10514 (Chappaqua, N.Y.), 22066 (Great Falls, Va.), 60022 (Glencoe, Ill.), and 94027 (Atherton, Calif.), pay three times what the average American household pays for health insurance. All of these ZIP codes have affluent households.

Annua HH Spend Health Insurance by ZIP Code

Who might pay the most for health insurance? Esri has developed the Tapestry Segmentation system that classifies U.S. residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.

On average, residents of Connoisseurs, Suburban Splendor and Top Rung neighborhoods, pay at least 1.5 times more in health insurance than the average American household. All three of these Tapestry segments include wealthy households.

Connoisseurs neighborhoods tend to be older, affluent, established and slow-growing. Residents are well‐educated and have a median age of 47.7 years. Although they’re closer to retirement than child-rearing, many of these married couples have children who still live at home. They have a median household income of $123,663 and supplement their salaries with income from interest, dividends and rental properties.

Suburban Splendor residents are successful suburbanites. They have a median household income of $116,617. Most are two-income, married-couple families with or without children. With a median age of 43.4 years, they’re well educated and have good jobs.

Top Rung neighborhoods are the wealthiest. Their median household income of $173,172 is more than three times higher than that of the U.S. median. These residents are married couples with and without children, highly educated and in their peak earning years of age 45-64.

Residents of City Commons and Dorms to Diplomas neighborhoods pay the least for health insurance. On average, they pay about half what at the average American household pays. Both of these segments have young residents.

Found primarily in large Southern and Midwestern metropolitan areas, residents of City Commons neighborhoods are young, single or single parents, and most likely, unemployed, or work part‐time. They have a median household income is $15,831 and a median age is 26.7 years. Some residents may not be able to afford health insurance. Younger residents may still be covered under their parent’s policies.

Most residents in Dorms to Diplomas communities are focused on their education; approximately 81% are enrolled in college and graduate school. Nearly three‐fourths of employed residents work part‐time in low‐paying service jobs. The median household income is $23,807 and the median age is 21.9 years. Residents may be covered under their parent’s policies are through their school tuition.

Why this matters

The Affordable Care Act will have far-reaching effects for every American as the law is implemented over the next several years. The Department of Health and Human Services must understand which communities have the highest demand for health insurance. The agency should provide these communities with information for obtaining health insurance and locating services convenient to local populations. Health care providers such as hospitals, clinics, urgent care facilities and large medical practices can use this information to expand their services into high-demand areas that may not have existed in the past.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist and location intelligence consultant. You can visit her blog at www.pamallison.com.

Which states will the military sequestration affect the most?

This blog was originally posted at: http://smartblogs.com/finance/2013/02/25/which-states-will-the-military-sequestration-affect-the-most/.

Sequestration is a front-and-center issue for everyone these days. While many people may not know exactly what the term means, they know to be worried on March 1 if no agreement is in place and $109 billion in annual spending cuts go into effect across all departments of the U.S. government.

Sequestration is the plan to reduce the federal deficit by $1.2 trillion from the federal budget over the next 10 years. To encourage Congress to pass legislation to reduce the deficit, this plan was enacted by the Sequestration Transparency Act of 2012 (P.L. 112-155).

In 2012, the Office of Management and Budget issued a preliminary report that detailed the breakdown of exempt and nonexempt budget accounts and estimated reductions required across nonexempt accounts to meet the required budgetary reductions. Cuts in the budget will be split evenly between defense and non-defense functions. Many people are particularly worried about the defense budget cuts. The report concluded that a mandatory 9.4% reduction in nonexempt defense discretionary funding and a 10% reduction to nonexempt defense programs were necessary. This action would result in a cut of $54.7 billion in defense spending for fiscal 2013.

Sequestration is a particularly urgent issue in states with a significant government agency or military presence. Those states rely on significant Department of Defense spending, so sequestration would affect them much more dramatically than others. In recent years, Virginia, California and Texas have benefited the most from Department of Defense funding. In 2009, Virginia received $67 billion, California received $59.3 billion and Texas received $46.7 billion, according to NationalAtlas.gov. If the cuts are enacted, the negative impact trickles down to local economies as civilian employees may lose their jobs or be furloughed without pay.

Find out what each state receives in Department of Defense funding from this interactive map:


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Per capita, Alaska, Virginia and Washington, D.C, receive the most Department of Defense funding. Alaska receives $8,652 per resident, Virginia receives $8,502 per resident and D.C. receives $8,209 per resident, according to NationalAtlas.gov. Large populations in California and Texas might lessen the blow of the budget cuts in those states.


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States with the largest number of active duty military are California (159,380), Virginia (127,981), Texas (123,879) and North Carolina (116,114), according to the Department of Defense. Although sequestration may not affect salaries of active duty military, other cuts could affect where they live if bases close or military housing is reduced. Economies of communities with large military populations could be adversely affected. For example, most military families rent housing, so losing military personnel could cause a drop in the real estate market. Salary reductions or job losses by civilian military employees could also reduce local sales tax revenues. Spending by these consumers would probably be severely restricted, causing a negative ripple effect for merchants.

Esri, a geographic information systems company, has developed the Tapestry Segmentation system that classifies U.S. residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.

Civilian and active duty military personnel help drive local economies and are a major influence in their communities. Residents of neighborhoods near military bases are typically dominated by Tapestry’s Military Proximity segment. Two-thirds of the households in Military Proximity neighborhoods are married-couple families with children. Some 93% of residents rent their homes. Residents participate in civic activities, join business clubs and go online to trade stocks and shop. For exercise, they snorkel, play tennis, practice yoga and jog. Families visit theme parks and the zoo, throw Frisbees and go bowling. Many households include a pet, most likely a dog.


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Why This Matters

Budget cuts from sequestration will have an effect far beyond the line items that are reduced. While it is critical to reduce the deficit so future generations won’t pay for current debt, it is also critical that the economy thrives and isn’t negatively affected by the cuts. Although most agree that there are areas of the budget that can be reduced, deciding which items is cause for less agreement. Cutting defense spending reduces not only the military strength of the U.S. but also affects local communities that count on the military presence for their economic health.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist, and location intelligence consultant. You can visit her blog at www.pamallison.com.

Who buys all the flowers and jewelry on Valentine’s Day?

This blog was originally posted at: http://smartblogs.com/leadership/2013/02/14/who-buys-all-the-flowers-and-jewelry-on-valentines-day/.

Hopefully, the “hearts and flowers” of Valentine’s Day will spread to the halls of Congress in Washington, D.C. After all, Valentine’s Day is one of the biggest holiday observances in the U.S. and presents a chance for politicians to mark the day with gifts for their colleagues. Instead of cacti or bitter chocolate, perhaps an offer of legislation for immigration or tax reform would be in order.

According to a survey conducted by BIGInsight for the National Retail Federation, Americans are expected to spend $18.6 billion for Valentine’s candy, cards, gifts and other items this year. Americans like to buy jewelry and flowers all year, not just for Valentine’s Day. How much do they spend annually, and who would probably spend the most?

Flowers

Americans love giving flowers to their loved ones. Buying flowers online is quick, easy and rapidly gaining in popularity. According to Esri, a geographic information systems company, people in the Northeast and some major cities such as Los Angeles, San Francisco, Denver and Chicago are most likely to order flowers online. Except for consumers in the Atlanta metro area, people in the South are least likely to buy flowers online.

ZIP codes where people are most likely to buy flowers on the Internet are 06870 (Old Greenwich, Conn.), 60022 (Glencoe, Ill.) and 98039 (Medina, Wash.). Residents of these ZIP codes are three times more likely than the average American to purchase flowers on the Internet.

Likelihood of Buying Flowers

 

What type of adult is most likely to buy flowers online? Esri has developed the Tapestry Segmentation system that classifies U.S. residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.

Tapestry neighborhoods with people most likely to purchase flowers on the Internet are Boomburbs, Metro Renters, Suburban Splendor and Top Rung. Residents of these neighborhoods are at least two times more likely than the average American to buy flowers online. Three of these segments are affluent; Metro Renters residents aren’t as wealthy but may prefer the quick convenience of buying flowers online.

Boomburbs communities are home to busy, affluent families with young children who live an upscale lifestyle. Residents of Metro Renters neighborhoods are young, well-educated singles who are beginning their professional careers in some of the largest U.S. cities such as New York, Los Angeles and Chicago. Suburban Splendor neighborhoods are the epitome of upward mobility and slightly below the top in affluence. In growing affluent neighborhoods, most of these residents are two-income, married-couple families with or without children. Top Rung is Tapestry’s wealthiest consumer segment and represents less than 1% of all U.S. households. These residents are married couples with and without children, highly educated and in their peak earning years.

Tapestry segments with residents least likely — one-fourth as likely — to buy flowers online are Home Town, Rural Bypasses and Southern Satellites

Commonalities of residents in these neighborhoods are relatively low incomes and less populous locations. They also may not have access to the Internet. Home Town neighborhoods are a mix of singles and families in settled, low‐density communities where residents are content to stay close to home. Rural Bypasses neighborhoods are in small Southern towns along back country roads near open space, undeveloped land and farms. Unemployment is high; however, those who are working have jobs in the agriculture, mining, manufacturing and construction industries at a higher‐than‐average rate. Most of the households in rural Southern Satellites neighborhoods are comprised of married‐couple families. They work in the manufacturing and service industries, and live in newer single‐family houses or mobile homes.

Jewelry

Every woman loves to receive jewelry — especially diamonds. The average American spends about $160 per year for jewelry. This amount varies widely according to neighborhood type and location.

People living along the Eastern Seaboard and in large cities such as Chicago, Los Angeles, San Francisco and Denver likely spend the most for jewelry. Residents in ZIP codes 07078 (Short Hills, NJ), 60043 (Kenilworth, Ill.) and 94027 (Atherton, Calif.) are among the highest spenders for jewelry. Residents in these ZIP codes spend, on average, at least $573 per year for jewelry.

Average Amount Spent on Jewelry

 

Shoppers who might buy diamonds also live along the Eastern Seaboard and in some rural areas of California, Nevada, Arizona and Texas.

Diamonds are a girl’s best friend in ZIP codes with the highest likelihood of diamond buyers — 19142 (Philadelphia), 48235 (Detroit) and 60628 (Chicago). Residents in these ZIP codes are at least 1.5 times more likely than the average American to buy diamonds.

Likelihood of Purchasing Diamonds

 

Where are jewelry and diamond buyers apt to live? Not surprisingly, residents that might spend the most for jewelry live in the Connoisseurs, Suburban Spendor and Top Rung neighborhoods,Tapestry’s most affluent segments. These residents spend, on average, $300 or more per year for jewelry.

Connoisseurs residents are well‐educated, somewhat older and conspicuous consumers who love to shop. Their neighborhoods tend to be older, affluent, established, and slow-growing. Suburban Splendor neighborhoods are growing, affluent areas — the epitome of upward mobility. Many residents are two‐income, married‐couple families with or without children. These residents are well educated and have good jobs. Top Rung is Tapestry’s wealthiest consumer segment and represents less than one percent of all U.S. households. These residents are married couples with and without children, highly educated and in their peak earning years.

Residents of City Commons and Modest Income Homes neighborhoods spend the least amount for jewelry — $75 or less per year. City Commons neighborhoods are found in large Southern and Midwestern metropolitan areas. Residents of these low-income areas are young, single or single parents, and most likely, unemployed or work part‐time. Modest Income Homes neighborhoods are primarily in older suburbs of metropolitan areas. Households are comprised of singles, single parents and family types that live in single-family housing.

Diamond buyers live in very different neighborhoods from jewelry buyers. Residents of Family Foundations and Urban Rows neighborhoods would most likely buy diamonds — at least 1.5 times more likely than the average American to purchase diamonds. This is a surprising result, and the reason is unknown.

Households in Family Foundations neighborhoods are a mix of married couples, single parents, grandparents, and young and adult children. These small, urban neighborhoods are located primarily in large Southern and Midwestern metropolitan areas. Most residents live in owner‐occupied, single‐family housing built before 1970. Urban Rows neighborhoods include different family types who live in row houses built before 1950 primarily in large Northeastern port cities such as Baltimore and Philadelphia, with smaller concentrations in the South. Many households are multi-generational.

Why this matters

While we are certainly curious about gifts congressional representatives or senators might present to each other for Valentine’s Day, the consumer spending patterns really matter more to retailers and distributors. For example, florists can use this information to market their services to consumers. Online florists want to target consumers who would most likely buy online. Local florists want to attract bricks-and-mortar customers and potential online consumers with very special offers — beautiful arrangements, competitive pricing and convenience. This information helps florists to identify their ideal consumers — and avoid areas with low potential. Jewelers can also use this information by identifying where their best customer types live and targeting advertising accordingly. Marketing messages can be versioned based on customer types and locations.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist and location intelligence consultant. You can visit her blog at www.pamallison.com.

The Changing Demographics of the U.S.

This article was originally posted at: http://smartblogs.com/finance/2013/02/04/the-changing-demographics-of-the-u-s/.

The demographics of the U.S. population are changing dramatically. We are becoming a much more diverse society due to the growth of minority populations and immigration. Illegal immigration is a hot topic, generating strong feelings on both sides of the issue. The Office of Immigration estimates that 11 million illegal immigrants are living in the U.S. today; 3 million arrived in the past 10 years. Congress and President Barack Obama plan to introduce legislation to change the status of immigrants who are currently in the U.S. illegally. It is clear that immigration — regardless of status — is changing the demographic makeup of the U.S. population.

Where do the minority populations live? Do their locations vary by the minority racial or ethnic type?

According to Esri, a geographic information systems company, in 2012, 115.8 million people in the U.S. identify themselves as a minority race or ethnicity. This includes 52.8 million Hispanics, 39.5 million blacks, and 15.2 million Asians as well as other races which includes American Indian and Pacific Islanders.

Where do the minority populations live?

Minorities in general live in the Western and Southern U.S. However, not all minorities settle in the same places. High populations of Asians are located in large cities such as Los Angeles, San Francisco, Seattle, Chicago, Atlanta, New York and Washington D.C. Blacks live all across the U.S.; however, larger populations are found in California, along the Eastern Seaboard and all across the South. Hispanics are the largest minority group and are spread across the U.S. The highest concentrations are in California, Texas, Florida and along the Eastern Seaboard.


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Median age by minority group

The median ages of people in the U.S. vary by ethnicity and race. The median age of the total U.S. population is 37.3 years. The median age for Hispanics in the U.S. is 27.4 years — almost 10 years younger. The median ages of Asians and blacks are much closer to the U.S. median at 35.5 and 32.2 years, respectively. The young Hispanic population has a great effect on the U.S. in terms of services that the government may need to provide or products and services that companies may want to sell. The higher overall median age may be due to to large senior population in the U.S. of which the majority is white, non-Hispanic.

These interactive maps show the striking difference in the ages of populations — especially in areas where the minority population is high. For example, it is clear that in areas of high Hispanic populations, the median age in the area is lower than the U.S. median. This element further changes the area’s demographics not only in terms of race but also by age and other factors such as family size and the number of people living in a household.


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Why this matters

As minority populations increase, it is critical to understand not only their cultural differences but also their lifestyles and product preferences. Whether the increase is due to more births or immigration, the change in the population presents an opportunity for businesses and becomes a key issue for governments in funding programs.

By catering to the racial, ethnic and cultural differences in a diverse population, savvy businesses can expand their market share by providing products and services desired by each minority group. Knowing where minority populations are growing can position a business well ahead of its competitors. For example, multi-generational Hispanic and Asian households provide opportunities for builders to create different floor plans that accommodate young families and seniors living in the same household.

All levels of government must understand population trends that may affect their areas. Some cities have very small minority populations and do not yet need to change. Others have already adapted and still others are beginning to implement new services as their minority population grows. Understanding demographic attributes such as race and age can help governments develop the best programs for expanding minority populations. For example, population of young families would require additional services for child care, nursery schools and education as well as health care clinics for children and young families. The presence of older populations requires different services such as senior health care programs, Medicare facilities and senior centers.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist and location intelligence consultant. You can visit her blog at www.pamallison.com.

 

What is the state of the U.S. economy?

This blog was originally posted at: http://smartblogs.com/finance/2013/01/18/what-state-economy/.

As Barack Obama begins his second term as the 44th president of the United States, the economy is better than it was in January 2009 at the start of his first term. But what is the state of the U.S. economy? And how might it look in the future? This post looks at some of the key economic and demographic indicators by location. While the U.S. overall is doing better, conditions in local economies may vary.

Unemployment

When Barack Obama first took office in January 2009, the U.S. unemployment rate was 7.8%. During Obama’s first term that figure jumped to 10% in October 2009. The current rate was back to 7.8% as of December 2012, according to the Bureau of Labor Statistics.

Individual states have different results for unemployment depending on local economies. From January 2009 to November 2012 (the most recent available statistics by state), 27 states have a lower unemployment rate. Michigan showed the largest decrease in unemployment — from 11.3% to 8.9% — due in part to better performance by car companies.

Unemployment rates increased in 21 states between January 2009 and November 2012. New Jersey posted the highest increase in unemployment — from 7.4% to 9.6%. A variety of factors may have contributed to this increase, including the effects of Hurricane Sandy.

Unemployment rates in Georgia, Oklahoma, and the District of Columbia were the same in January 2009 as in November 2012.

Unemployment rates may vary for individual counties due to local economic conditions. Of the 3,137 counties in the U.S., 84.8% had a decrease in unemployment during Obama’s first term, 13.5% had an increase, and the rest stayed the same. The county with the largest decrease in unemployment was Sargent County, N.D. Its unemployment rate decreased from 28% in January 2009 to just 2% in November 2012. This dramatic drop in unemployment rates may be due in part to the $250 million, 77-turbine PrairieWinds ND1 wind-farm project and the discovery of crude oil in the Bakken Formation, with an estimated 3 billion to 4 billion barrels of recoverable oil, only a tiny percentage of which has been tapped.

Yuma County, Ariz., wasn’t as fortunate as Sargent County. Its unemployment rate increased more than any other county going from a high 16.8%in January 2009 to 27.5% in November 2012. This high unemployment is attributed to the seasonal nature of agricultural hiring. Agriculture is a large industry in this rural county.

What do the unemployment number look like in your state or county? Use this interactive map to find out.


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Median Household Income

Income is a key indicator of consumer confidence. The U.S. median household income in 2012, according to estimates from Esri, a geographic information systems company, is $50,157. This is down 7.9% from $54,442 in 2010. Esri expects the median household income to increase 13.4% to $56,895 by 2017 as the economy improves.

The state with the highest median household income in 2012 is Maryland at $68,038. Mississippi has the lowest median household income of $36,381. Both states, according to Esri, will increase their median household incomes by 2017. Median income in Maryland will rise 18% to $80,426 and Mississippi’s will rise 14.7% to $41,732.

ZIP codes with the highest median incomes are all in or near major cities. Many of the top ZIPs are in New York state. They include 10106 (New York, N.Y.), 10506 (Bedford, N.Y.), and 11765 (Mill Neck, N.Y.). Other top ZIP codes include 94027 (Atherton, Calif.), 07979 (Pottersville, N.J.), and 60043 (Kenilworth, Ill.).

Check out the map to find more details about median household incomes around the nation.


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U.S. Demographics

The demographics in the U.S. is changing. Overall, the population is getting older. In 2010, the median age was 37.1. In 2012 it is 37.3. Esri predicts that the median age will be 37.8 in 2017. Another striking change is the growth of minority populations. According to the Census Bureau, minority races include American Indian or Alaska Native, Asian, Black, Native Hawaiian or Other Pacific Islander as well as the Hispanic ethnic group.

The biggest change in U.S. demographics is growth of the minority population. Currently, 37% of the population is considered a minority. A person in the “majority” is considered to be white, non-Hispanic. Esri estimates that minorities will be 39.1% of the total population in 2017.

In many local areas of the U.S., white, non-Hispanics are no longer in the majority. In Hawaii, California, New Mexico, and Texas, minorities are now the majority. By 2017, Nevada may be added to that list.

Several ZIP codes where almost 100% of the population is a minority include 60621 (Chicago), 11412 (Saint Albans, N.Y.), and 90001 (Los Angeles). In ZIP code 60621, 97.7% of the population is Black. In 11412, 91.8% is Black, and in 90001 89.2% is Hispanic and 10.1% is Black. Most ZIP codes with higher percentages of minority populations are located in the South and West.

Explore this interactive map and learn about the minority population percentages in your neighborhood:


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Why Does this Matter?

The U.S. economy appears to be improving as household income and home values increase, and unemployment is leveling off and declining. Local economies vary. Some are adding jobs more quickly than others. Incomes and home values are rising in some places. The demographics are changing everywhere, more rapidly in the South and West. Knowing how the nation is changing and at the local level can help President Obama and other policymakers make the best decisions and policies to serve the nation.

More information about Esri’s data can be found at ESRI.com/data, or to learn more about Esri in general, go to ESRI.com.

Pam Allison is a digital-media and marketing strategist and a location-intelligence consultant. 

Who is preparing for retirement?

This blog was originally posted at: http://smartblogs.com/finance/2012/12/24/who-preparing-retirement/.

These days, planning for retirement is a concern for most Americans.  In the past, many Americans relied on Social Security and company pensions to fund their retirement. Today, Social Security does not pay enough for some people to be comfortable in their retirement, and most companies have eliminated pensions (if they had them to begin with). Therefore, making 401(k) and IRA contributions are critical to people’s retirement to ensure that they have enough money once they stop working.

The average American contributes $1,325 to retirement accounts per year, according to Esri, world’s leader in geographic information systems (GIS). What types of Americans are most likely to contribute?  Who contributes to 401(k) accounts?  What about IRA accounts? Where do these Americans live?

401(k) contribution

401(k) retirement accounts allow Americans to contribute to their retirement directly from their regular paychecks.  The contributions are pre-tax and are often matched by employers to encourage savings.  Not everyone contributes though.  Some either do not feel they have the funds to do so or they do not see the value.

Esri provides Market Potential data that includes a Market Potential Index (MPI). The index measures the probability that adults or households in a specific area will exhibit certain consumer behaviors compared to the U.S. average. The index is tabulated to represent a value of 100 as the overall demand for the U.S.

The areas with the highest likelihood of residents that contribute to a 401(k) are in states on the Eastern Seaboard, in the Midwest and along the California coast.

ZIP codes of residents with the highest likelihood of having a 401(k) account include 19373 (Thornton, Pa.), 08535 (Millstone, N.J.), 48374 (Novi, Mich.) and 99516 (Anchorage, Alaska).  Each of these ZIP codes has a market potential index of 173, meaning a resident in these ZIP codes is 1.73 times more likely or more than the average American to have a 401(k) account.

401k Contributions by ZIP

What type of person is most likely to have a 401(k) account?  Esri has developed the Tapestry Segmentation system that classifies U.S. residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.

The Tapestry segments with the highest likelihood of having a 401(k) account are Boomburbs, Exurbanites, Sophisticated Squires and Suburban Splendor.  Residents in neighborhoods dominated by these tapestry segments are at least 1.5 times more likely than the average American to have a 401(k) account.

Residents of these tapestry neighborhoods are all very wealthy.  Boomburbs communities are home to busy, affluent families with young children who live an upscale lifestyle.  Open areas define the Exurbanites affluent neighborhoods of empty nesters and married couples with children.   Sophisticated Squires are educated, married couple families hold good-paying jobs and are willing to commute longer distances to maintain a semi-rural lifestyle.  Suburban Splendor neighborhoods mostly include two‐income, married‐couple families with or without children. They are well-educated and have good jobs.

The tapestry segments with the least likelihood of having a 401(k) account are City Dimensions, The Elders, Home Town, Industrious Urban Fringe,  Las Casas, Metro City Edge, Modest Income Homes, NeWest Residents and Rural Bypasses. Residents in these neighborhoods have an index of 50 or less meaning they are half as likely as the average American to have a 401(k) account.

Low income is the commonality among these segments. Differences occur in age, race/ethnicity and location.

IRA contribution

Contributing to an Individual Retirement Account (IRA) is another way that Americans can save for retirement.  The U.S. government encourages people to contribute to an IRA by allowing them to deduct (depending on their income level) the contribution amount from their taxes.  Not all Americans take advantage of this.  Who does?  Who doesn’t?  Where do they live?

Areas with where people are most likely to contribute to an IRA are in the Midwest and along the Eastern Seaboard.  The ZIP codes with some of the highest likelihood of people contributing an IRA are 02030 (Dover, Mass.), 94028 (Portola Valley, Calif.) and 38139 (Germantown, Tenn.).  Each of these ZIP codes have an index of 199 meaning residents are 1.99 times more likely or more than the average American to contribute to an IRA.

IRA Contributions by ZIP

Residents of neighborhoods with dominant tapestry segments most likely to contribute to an IRA are Suburban Splendor and Top Rung.  These neighborhoods have an index of at least 200 meaning residents are at least two times more likely than the average American to contribute to an IRA. Residents in neighborhoods dominated by the Boomburbs, Connoisseurs, Exurbanites, Metropolitans, Military Proximity, Prairie Living, Prosperous Empty Nesters, Silver and Gold, Urban Chic and Wealthy Seaboard Suburbs segments have an index of 150 or higher. Except for Military Proximity and Prairie Living, all of these segments are affluent. Residents of Military Proximity neighborhoods are either on active duty or civilian employees of the military. Prairie Living neighborhoods are located primarily across America’s breadbasket; residents are employed in agriculture.

Top Rung is tapestry’s wealthiest consumer segment.  It represents less than 1% of all U.S. households.  In their peak earning years, these highly-educated residents are married couples with and without children.  Suburban Splendor neighborhoods mostly include two‐income, married‐couple families with or without children. They are well-educated and have good jobs.

Tapestry segments with the least likelihood of contributing to an IRA are City Dimensions, City Strivers, High Rise Renters, Home Town, Inner City Tenants, Industrious Urban Fringe, International Marketplace, Las Casas, NeWest Residents, Southwestern Families, Urban Melting Pot and Urban Villages. Residents in these neighborhoods have an index of 50 or less meaning they are half as likely as the average American to contribute to an IRA. Residents of these neighborhoods are low income; differences among them are age, race/ethnicity and location.

Retirement contribution amount

The amount people contribute to their retirement accounts vary tremendously.  Obviously it is important for people to contribute as much as they can but that varies with income level and personal situation. Who contributes the most? Who contributes the least? Where do they live?

People living along the Eastern Seaboard and the coast of California contribute the most to the retirement accounts. Residents in ZIP codes 22066 (Great Falls, Va.), 10514 (Chappaqua, N.Y.) and 60043 (Kenilworth, Ill.) have some of the highest contributors to retirement accounts.  Residents of these ZIP codes contribute an average of $5,000 or more per year to retirement accounts.  Areas of Arizona, New Mexico and Kentucky have some of the lowest contribution rates.

Retirement Contribution by ZIP

Residents of neighborhoods dominated by tapestry segment Top Rung contribute the most.  These residents contribute $2,500 or more annually to their retirement accounts.  Residents of Boomburbs, Connoissuers, Exurbanites, Suburban Splendor, Wealthy Seabord Suburbs and Urban Chic also contribute a significant amount.  Residents in most of these neighborhoods, on average, contribute $2,000 or more annually to retirement accounts.

Residents of City Commons and Social Security Set neighborhoods are among the lowest contributors to retirement accounts. Most residents, on average, contribute $500 or less annually. Many residents of Social Security Set are already retired, so they probably would not contribute. Residents of this segment live alone in rented apartments in low‐rent, high‐rise buildings. City Commons neighborhoods are primarily in large Southern and Midwestern metropolitan areas.  Primarily in cities of large Southern and Midwestern metropolitan areas, residents of these neighborhoods are young, single or single parents, and most likely, unemployed, or work part‐time.

Why does this matter?

Americans all dream of comfortable retirement; however, not all can do it. Many want to ensure that once residents get to retirement age, they can enjoy it — travel, see family, pay for medical care and participate in hobbies. Not everyone is planning (or even able to plan) for their retirement.  It is important for the government, nonprofit organizations,and companies to understand how much people are saving for retirement, what types of retirement savings programs are being utilized and who uses them.  This information can help target education and other efforts to inform people about the best way to plan. Knowing where they live is a big part of this as that information can be used to develop marketing and set up programs for people who are not as prepared for retirement.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist and location intelligence consultant.  You can visit her blog at www.pamallison.com.

The Effect of Demographics in the Presidential Election

This was originally posted at:http://smartblogs.com/leadership/2012/11/12/the-effect-demographics-presidential-election/.

Demographics played a large part in the outcome of the 2012 presidential election. The minority population has changed over the past several years, greatly changing the dynamics of the country, which has a large effect on national politics. In 2000, 12.5% of the population was Hispanic. That increased to 16.3% in 2010. Similarly, in 2000, 12.3% of the population identified themselves as black. This increased to 12.6% in 2010. Asians were 3.6% of the population in 2000 and increased 4.8% in 2010.

President Barack Obama had virtually universal support from black voters in the election. Additionally, Hispanics — especially young Hispanic voters — overwhelmingly cast their vote for Obama. This is especially apparent when looking at the election results by county. While Obama had large support in cities across the U.S., he had particularly high support in the West and South which has large populations of Hispanics and blacks.

The Hispanic population is very high in the western part of the U.S. — with much higher penetration than other parts of the country.

The areas with the highest penetration of blacks are, not surprisingly, in the southern and southeastern part of the country.

In 2010, 14.2% of the adult population identified themselves as Hispanic and 12% of the adult population identified themselves as black. In counties where the Hispanic or black population is at least twice the national average, 60.3% voted for Obama and 39.7% voted for Republican challenger Mitt Romney.

In counties where the Hispanic or black population is half (or less) than the national average, 47.0% of votes cast were for Obama and 53.0% were for Romney.

This interactive map shows the margin of victory in each county. Many of the counties with a high margin of victory for Obama have high percentages of Hispanic and/or black populations.

2012 presidential election margin of victory by county

View Larger Map

What does all of this mean?

Not surprisingly, the changing demographics of the U.S. had a large effect on the outcome of national politics. Obama and his election team did an effective job reaching out to the minority communities to gain their support and vote. As this “minority” community continues to grow, it will continue to be a critical voice in politics going forward. Knowing where the Hispanic, black and other minority populations live is important for politicians to understand so they can interact more effectively with those powerful groups.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist and location intelligence consultant. You can visit her blog at www.pamallison.com.

PBS – Who Contributes?

There has been a lot of talk about PBS and its funding during this year’s presidential race.  Mitt Romney stated during the first presidential debate that if elected he plans to cut funding to PBS.  This was a hot discussion topic as the network, which receives both public and private funding, is a popular and beloved television destination by people all around the country.   The network carries not only Big Bird’s program Sesame Street and other educational content for children but also adult-targeted shows such as Downtown Abbey and Frontline.  Its programming caters to multiple audiences.

How much do people care about PBS?  Who contributes?  Where are the PBS stations located?

Funding for PBS comes from a variety of sources – station membership dues, the Corporation for Public Broadcasting, government agencies, foundations, corporations, and private citizens.   The Corporation for Public Broadcasting is a non-profit corporation funded by the US federal government to promote public broadcasting.   In 2012, it received$ 445.2 million from the federal government.  That funding was distributed among multiple sources including $222.36 million for direct grants to local public television stations to help keep them running.   Almost 60% of local stations receive funding from private citizen, sponsors, and corporations.  Where are the PBS stations located?  You can seem the here:

People all around the country personally contribute to PBS.  We don’t know how much – but we do know a lot of people contribute – and they come from a variety of walks of life.  About 4.2% of all US adults contribute at least something to PBS.  The people most likely to contribute live along the eastern seaboard, in the Midwest, and along the west coast.   One of the ZIP codes with the highest likelihood of contributing to PBS is 06883, which is located in Weston, CT.  Their index for the likelihood of contributing to PBS is 293 meaning they are 2.93 times more likely than the average American to contribute to PBS.   The residents in this ZIP code have a median household income of 187,006.  The residents are more likely to lean liberal than conservative.  They have an index of 148 for being very liberal and 160 for being somewhat liberal.

Many believe that contributions to PBS are typically made by liberals but conservative neighborhoods also have a high likelihood of contributing to PBS.  For example, 02642 and 86336 each have an index of 248 for contributing to PBS meaning a resident there is 2.48 times more likely than the average American to contribute to PBS.  However the likelihood of someone identifying themselves as  very conservative or  somewhat conservative in those neighborhoods is over 130 meaning they are 1.3 times more likely than the average American to be conservative.

What type of person is most likely to contribute to PBS?  What type is least likely?  We can use Tapestry Segmentation to classify consumers.  Esri, a geographic information systems company which also does data analysis, developed the Tapestry Segmentation system that classifies US residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.  The tapestry segments with an index of 200 or higher – meaning they are 2 times more likely than the average American to contribute to PBS – are Connoisseurs, Silver and Gold, The Elders, Top Rung, and Urban Chic.   The median household income of these tapestry segments ranges from $42,293 to $182,041.

Urban Chic residents, for example, are professionals who live a sophisticated, exclusive lifestyle. More than half of these households are married-couple families, similar to the US proportion. Fewer than half of them have children. Unlike the United States, there is a smaller proportion of single parents and a higher proportion of singles and shared households. The median age of 42.7 years is older than the US median of 37 years, while the diversity index of 48 is lower than the US figure of 61.  Their median household income is $82,524. They are well-educated; more than half of residents aged 25 years and older hold a bachelor’s or graduate degree

Not everyone contributes to PBS – either because they can’t financially or they aren’t interested.  Residents of Home Town, Rooted Rural, Rural Bypasses, Rustbelt Traditions, and Southern Satellites tapestry segments are ½ as likely to contribute to PBS as the average American.   Many of these residents live in the Rural II Urbanization neighborhoods.  Rural II residents live in rural farm areas; the rest live in the country or in small villages and work in mining or manufacturing.

Why Does this Matter?

PBS is a network that is beloved by many Americans.  Understanding who supports it financially and where they are can aid in the discussion of how to keep the network, programs and local stations funded.  A key concern of many proponents of PBS is keeping the content available throughout the country.  Shows like Sesame Street and Frontline will continue to be produced regardless of public funding to PBS.  The key is ensuring those educational programs can be seen throughout the country.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Examining Iowa’s Political Leanings

This was originally posted at http://smartblogs.com/leadership/2012/09/24/examining-iowas-political-leanings/.

Iowa is one of the key swing states in the upcoming presidential election.  With 6 electoral votes up for grabs (one less from the 2008 election due to population shifts), it is an important state for both Barack Obama and Mitt Romney to win.   Since 1988, the state has voted Democrat in every presidential election except in 2004.  Analysts aren’t too sure what will happen this time as the polls show it is too close to call.

The map and data below tell the story of the demographic and political makeup of the Iowa voters prior to the election.  What will sway the voters in this state?  What do we know about them?  We’ll be sure to check back after Nov. 6 to see what the election results reveal.

General Population Statistics

Iowa, also known as “The Hawkeye State” has a population of just over 3 million people.  Its population is one of the least diverse states.  Esri has developed a diversity index which measures the amount of diversity in an area.  The Diversity Index for Iowa is 23.3 meaning that there is a 23.3 probability that two people randomly chosen from the same area would belong to a different race or ethnic group. This compares to a US diversity index of 61.  Not surprisingly, the percentage of Hispanics is very low in the state.  Only 5.1% of residents identify themselves as Hispanic.

Here are some key demographic statistics about Iowa:

 

Iowa

US

Median Age

38.1

37.2

% Male / % Female

49.3%/50.7%

49.2%/50.8%

Median Household Income

$47,510

$50,227

% Hispanic Population

5.1%

16.6%

Median Home Value

$110,576

$157,913

Sources: Esri Updated Demographics 2011/2016, US Census

The residents of Iowa are more conservative overall than the average American.  Esri, the world’s leader in geographic information systems (GIS), provides Market Potential data that includes a Market Potential Index (MPI). The Index measures the probability that adults or households in a specific area will exhibit certain consumer behaviors compared to the US average. The index is tabulated to represent a value of 100 as the overall demand for the U.S.

Market Potential Variable

Index

Consider self very conservative

112

Consider self somewhat conservative

109

Consider self middle of the road

108

Consider self somewhat liberal

84

Consider self very liberal

83

Sources: Esri GfK MRI

A resident of Iowa is 12% more likely than the average American to consider himself very conservative and 9% more likely to consider himself somewhat conservative.  A resident of Iowa is 16% less likely than average American to consider himself somewhat liberal and 17% less likely than the average American to consider himself very liberal.

Iowa Politics Market Potential Index

Where people live in Iowa does seem to somewhat sway their political leanings – a least a bit.   There are very few areas with liberal – or even middle-of-the-road leanings.  For Democrats, it is important to know that the ZIP Code with the highest likelihood of very liberal voters is 52242 – located in Iowa City.  The index for someone who considers themselves very liberal is 242 – meaning a resident there is 2.42 times more likely to consider themselves more liberal than the average American.  For Republicans, the most conservative zip code is 51460 – located in Ricketts, a small town in Western Iowa.  The index for considering themselves very conservative there is 214 meaning a resident is 2.14 times more likely than the average American to consider themselves very conservative.  There are many areas around the state, though, where a significant amount of people consider themselves very conservative.

Tapestry Segmentation Classifies Iowa Voters

Esri also developed the Tapestry Segmentation system that classifies US residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.  The top Tapestry segments for the State of Iowa are:

Tapestry Segment

% Adults

Prairie Living

13.3%

Rustbelt Traditions

8.7%

Heartland Communities

7.7%

Salt of the Earth

7.2%

Midlife Junction

7.1%

 

Prairie Living neighborhoods are dominated by small, family-owned farms in the Midwest.  Two-thirds of these households are composed of married couples.  Their median age is 42.9 years.  One in four residents is self-employed.  Agricultural jobs are part of the local economy but 40 percent of the residents work in white-collar jobs.  Rustbelt Traditions neighborhoods are primarily a mix of married-couple families, single parents, and singles who live alone.  The median age is 35.9 years, just below the US media nand median household income is $42,337. Half of the employed residents work in white-collar jobs. Many work in the service industry.

Map of Iowa by Tapestry Segmentation

Unemployment

One key factor in the upcoming election is unemployment.   This has varied by state.  When Barack Obama was sworn in as US President in January 2009 Iowa had an unemployment rate of 6.1 percent compared to 7.8 percent nationally.  In July 2012 (the latest figures available from the Bureau of Labor Statistics) that number had decreased to 5.3 percent compared to 8.1 percent nationally.  Of course, each county in the state varies based on their individual situations.

Iowa Unemployment Change – January 2009 – July 2012

Most counties in Iowa have lower unemployment rates now than when Obama took over as president.   Some had drops of more than 5 percent.  The counties with the biggest decrease in unemployment were Hancock County and Allamakee County.  Each of these counties had drops of 7.3 percent between January 2009 and July 2012.  Both of these counties have relatively small populations, so even a small increase in employment could have a large effect.  Both of these counties have about the same sized labor force in this time period but an increase in the number of employed. The county with the largest increase in unemployment was Hamilton County with an increase of 0.5 percent.

Why Does This Matter?

Understanding the types of people who live in Iowa can help Barack Obama and Mitt Romney target their campaigns and even messaging.  Knowing what the local issues are, what the demographic make-up of an area is, what the political leanings are of an area, or knowing what types of activities they participate in can help them find their supporters – at a very local level – and help them be in a better position win an election.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.

Pam Allison is a digital media, marketing strategist, and location intelligence consultant.  You can visit her blog at www.pamallison.com.

Examining Nevada’s Political Leanings

As we get closer to the presidential election, we will be looking at the demographic make-up of the battleground states.  These are the states that analysts think are up for grabs by Obama and Romney. They will be the determining factor of who wins the presidency.  First up is Nevada.

The map and data below tell the story of the demographic and political makeup of the Nevada prior to the election.  What will sway the voters in this state?  What do we know about them?  We’ll be sure to check back after Nov. 6 to see what the election results reveal.

 General Population Statistics

Known as the “Silver State” Nevada has a population of just over 2.7 million people.  About two-thirds of the population lives in just one county – Clark County, which includes Las Vegas.  Here are some key statistics about Nevada:

 

Nevada

US

Median Age

36.4

37.2

% Male / % Female

50.9%/49.1%

49.2%/50.8%

Median Income

$52,541

$50,227

% Hispanic Population

27.4%

16.6%

Median Home Value

$150,341

$157,913

The residents of Nevada are overall just slightly more conservative overall than the average American.  Using a market potential index by Esri, a geographic information systems company which also does data analysis, demonstrates this:

Market Potential Variable

Index

Consider self very conservative

103

Consider self somewhat conservative

103

Consider self middle of the road

100

Consider self somewhat liberal

102

Consider self very liberal

88

A resident of Nevada is 3% more likely than the average American to consider himself very conservative and 3% more likely to consider himself somewhat conservative.  A resident of Nevada is 2% more likely than average American to consider himself either somewhat liberal but 12% less likely than the average American to consider himself very liberal.   Residents do not have die-hard political leanings in either direction, demonstrating the location as a potential battleground in the upcoming election.

Nevada Politics Market Potential Index

Where people live in Nevada does seem to somewhat sway their political leanings.   People are a bit more likely to lean liberal if they are in the large cities (Las Vegas and Carson City) versus out in rural areas, where people are a bit more likely to have conservative political views.

Nevada Tapestry Segmentation

Esri also developed the Tapestry Segmentation system that classifies US residential neighborhoods into 65 unique market segments based on socioeconomic and demographic characteristics.  The top tapestry segments for the Nevada are:

Tapestry Segment

% Adults

Up and Coming Families

14.9%

Aspiring Young Families

9.6%

Milk and Cookies

5.7%

Industrious Urban Fringe

5.4%

Inner City Tenants

5.3%

Enterprising Professionals

4.9%

Exurbanites

3.3%

Newest Residents

3.1%

In Style

3.1%

Old and Newcomers

3.0%

Residents of Tapestry’s Up and Coming Families neighborhoods, for example, are young, affluent families with younger children. Eighty percent of the households are families. The median household income is $69,522 and nearly two-thirds of the residents aged 25 years and older have attended college; more than one in five holds a bachelor’s degree.  Aspiring Young Families are young, start-up families.  Two-thirds of these residents are families.  Their median income is $46,275 and they are more ethnically diverse than the US population.

Nevada Tapestry Map

Unemployment

One key factor in the upcoming election is unemployment.   This has varied by state.  When Barack Obama was sworn in as president in January 2009 Nevada had an unemployment rate of 9.6%.  In July 2012 (the latest figures available by the Bureau of Labor Statistics) that number had risen to 12.0%.  Of course, each county in the state varies.

Most counties in Nevada have higher unemployment rates now than when Obama took over as president, including Clark County (the largest) that went from a rate of 9.8% in January 2009 to 12.9% in July 2012.

Why Does This Matter?

Understanding the type of people who live in Nevada can help Barack Obama and Mitt Romney target their campaigns and even messaging.  Knowing what the local issues are, what the demographic make-up of an area is, what the political leanings are of an area, or knowing what types of activities they participate in can help them find their supporters – at a very local level – and help them be in a better position win an election.

More information about Esri’s data can be found at www.esri.com/data or to learn more about Esri in general, go to www.esri.com.