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Overview

South Carolina
Overview: 2012

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Strengths:

  • Low prevalence of binge drinking
  • Moderate rate of preventable hospitalizations

 

Challenges:

  • High percentage of children in poverty
  • High prevalence of diabetes
  • High prevalence of low birthweight
  • Low high school graduation rate

 

Highlights:

  • In the past five years, children in poverty increased from 15.6 percent to 26.3 percent of persons under age 18.
  • In the past ten years, the rate of preventable hospitalizations decreased from 78.6 to 61.2 discharges per 1,000 Medicare enrollees.
  • In the past year, high school graduation increased from 62.2 percent to 66.0 percent of incoming ninth graders who graduated within four years.
  • South Carolina has one of the highest rates of diabetes at 12.1 percent of the adult population, with 435,000 adults with diabetes.
  • South Carolina ranks below the median state on all measures except two; binge drinking and preventable hospitalizations.

 

Disparities:

  • In South Carolina, obesity is more prevalent among non-Hispanic blacks at 39.9 percent than non-Hispanic whites at 27.8 percent; and sedentary lifestyle is more prevalent among Hispanics at 35.6 percent than non-Hispanic whites at 24.9 percent.

 

State Health Department Web Site: www.scdhec.net

2012 Edition map
SC Obesity (1990-2012) see more
  • Percentage of the population estimated to be obese, with a body mass index (BMI) of 30.0 or higher.
  • Percentage of the population estimated to be obese, with a body mass index (BMI) of 30.0 or higher. (2011 BRFSS Methodology)
SC Smoking (1990-2012) see more
  • Percentage of population over age 18 that smokes on a regular basis.
  • Percentage of the population over age 18 that smokes on a regular basis (smoked at least 100 cigarettes in their lifetime and currently smoke every day or some days). (2011 BRFSS Methodology)
SC Diabetes (1996-2012) see more
  • Percent of adults who responded yes to the question "Have you ever been told by a doctor that you have diabetes?" Does not include pre-diabetes or diabetes during pregnancy.
  • Percent of adults who responded yes to the question "Have you ever been told by a doctor that you have diabetes?" Does not include pre-diabetes or diabetes during pregnancy. (2011 BRFSS Methodology)

State Rankings

South Carolina
Overview: 2012

PDF Icon Get the full 2012 Edition report

Strengths:

  • Low prevalence of binge drinking
  • Moderate rate of preventable hospitalizations

 

Challenges:

  • High percentage of children in poverty
  • High prevalence of diabetes
  • High prevalence of low birthweight
  • Low high school graduation rate

 

Highlights:

  • In the past five years, children in poverty increased from 15.6 percent to 26.3 percent of persons under age 18.
  • In the past ten years, the rate of preventable hospitalizations decreased from 78.6 to 61.2 discharges per 1,000 Medicare enrollees.
  • In the past year, high school graduation increased from 62.2 percent to 66.0 percent of incoming ninth graders who graduated within four years.
  • South Carolina has one of the highest rates of diabetes at 12.1 percent of the adult population, with 435,000 adults with diabetes.
  • South Carolina ranks below the median state on all measures except two; binge drinking and preventable hospitalizations.

 

Disparities:

  • In South Carolina, obesity is more prevalent among non-Hispanic blacks at 39.9 percent than non-Hispanic whites at 27.8 percent; and sedentary lifestyle is more prevalent among Hispanics at 35.6 percent than non-Hispanic whites at 24.9 percent.

 

State Health Department Web Site: www.scdhec.net

State Rank Value
Alabama 45 -0.521
Alaska 28 0.083
Arizona 25 0.139
Arkansas 48 -0.717
California 22 0.262
Colorado 11 0.549
Connecticut 6 0.82
Delaware 31 -0.063
Florida 34 -0.138
Georgia 36 -0.261
Hawaii 2 0.977
Idaho 17 0.425
Illinois 30 -0.059
Indiana 41 -0.341
Iowa 20 0.299
Kansas 24 0.152
Kentucky 44 -0.47
Louisiana 49 -0.938
Maine 9 0.621
Maryland 19 0.336
Massachusetts 4 0.879
Michigan 37 -0.269
Minnesota 5 0.821
Mississippi 49 -0.938
Missouri 42 -0.403
Montana 29 0.037
Nebraska 15 0.514
Nevada 38 -0.28
New Hampshire 3 0.897
New Jersey 8 0.643
New Mexico 32 -0.069
New York 18 0.398
North Carolina 33 -0.105
North Dakota 12 0.543
Ohio 35 -0.245
Oklahoma 43 -0.464
Oregon 13 0.527
Pennsylvania 26 0.104
Rhode Island 10 0.587
South Carolina 46 -0.535
South Dakota 27 0.091
Tennessee 39 -0.317
Texas 40 -0.328
Utah 7 0.805
Vermont 1 1.196
Virginia 21 0.268
Washington 13 0.527
West Virginia 47 -0.655
Wisconsin 16 0.486
Wyoming 23 0.236

National Perspective

After 22 years of viewing changes in population health over time, America’s Health Rankings® has established a new baseline from which all future changes will be compared. One of the underlying data sources for America’s Health Rankings® underwent significant changes in the last year and required this new baseline to be established. The new baseline is not comparable to prior trend information shown in prior years.

CDC’s Behavioral Risk Factor Surveillance System (BRFSS), a telephone survey of nearly half a million households and the source for 7 of the measures in the overall index, introduced 2 major changes in their most recent data release to improve the estimates of behaviors in a state’s population. These changes altered both the household selection process and the analysis methodology to better reflect the growth of cell phone only households and the increasing diversity of households within a state. This has caused the reported prevalence of many of the behavior measures, such as smoking, obesity, binge drinking, and diabetes, to be reported as higher this year than last year. This may or may not reflect an actual change in the behavior being measured, but it does represent a dramatic improvement in how well the estimates measure the behaviors. The new estimates are superior to estimates collected in prior years and set the standard going forward as the new baseline.

Some of the individual components of the index continue to be comparable over time and their changes are shown in below.

National Successes and Challenges

MEASURE

CHANGES

Successes

Preventable Hospitalizations

Preventable hospitalizations continue to decline. In 2001, there were 82.5 discharges; in 2012, there were 66.6 discharges per 1,000 Medicare enrollees.

Occupational Fatalities

Occupational fatalities have declined slightly in the last 5 years from 5.3 deaths in 2007 to 4.1 deaths per 100,000 workers in the 2012 Edition. This is essentially equal to the 2011 Edition rate of 4.0 deaths per 100,000 workers. Rates are the lowest in 23 years.

Air Pollution

The average amount of fine particulate in the air continues to decline from 13.2 micrograms in 2003 to 10.5 micrograms per cubic meter in 2012.

Infectious Disease

Infectious disease has dropped from 19.7 cases in 1998 to 12.4 cases per 100,000 population in the 2012 Edition. However, the incidence remains above the rate of 9.0 cases achieved in 2009 and 2010 and 10.3 cases per 100,000 population in the 2011 Edition.

Infant Mortality

The infant mortality rate decreased 36 percent from 10.2 deaths in 1990 to 6.5 deaths per 1,000 live births in 2012. Compared to the 1990s, improvements have slowed dramatically in the last 12 years.

Premature Death

Since 1990, there has been an 18 percent decline from 8,716 years of potential life lost before age 75 per 100,000 population to 7,151 years of potential life lost before age 75 per 100,000 population in 2012. Premature deaths, like several other metrics, have leveled off in the last decade compared to gains in the 1990s.

Cardiovascular Deaths

Since 1990, cardiovascular deaths have declined 35 percent, from 405.1 deaths in 1990 to 264.9 deaths per 100,000 population in the 2012 Edition. This continues a relatively constant improvement of 2 percent to 3 percent each year.

Cancer Deaths

Cancer deaths declined 8.0 percent from 197.5 deaths in 1990 to 182.5 deaths per 100,000 population in the 2012 Edition. This continues to show a more rapid improvement in the last few years than earlier in the 2000s .

High School Graduation Rate

At only 75.5 percent of ninth graders receiving a diploma within 4 years, high school graduation is still a challenge. However, it is on a trend of slowly increasing from 71.7 percent in 2004.

Violent Crime

At 404 offenses per 100,000 population, violent crime is 34 percent lower than in 1990 and 47 percent lower than its peak in 1993.

Challenges

Children in Poverty

The percentage of children in poverty, at 21.4 percent of persons under age 18, remains above 20 percent for the third straight year. This is far above the 23-year low of 15.8 percent in the 2002 Edition.

Lack of Health Insurance

The rate of uninsured population increased 15 percent from 13.9 percent ten years ago to 16.0 percent in 2012. The rate of uninsured population has remained relatively stable for the last three years.

Immunization Coverage

Immunization coverage nationwide remains stagnant at 90.3 percent of children ages 19 to 35 months receiving key vaccinations.

Low Birthweight

In the last 20 years, the prevalence of low birthweight infants has increased from 7.0 percent to 8.1 percent nationwide. The good news is that it appears to have leveled off in the most recent six years, and the trend may start to reverse in the future.

Preventable Hospitalizations

Potentially preventable hospitalizations (hospitalizations that may be preventable with high quality primary and preventive care) have declined over the last 11 years from 82.5 to 66.6 discharges per 1,000 Medicare enrollees. Preventable hospitalizations reflect how efficiently a population uses the various health care delivery options for necessary care. Hospital care is expensive and makes up the largest component of health care spending in the U.S., totaling over $750 billion.[1] Preventable hospitalizations often occur as a result of a failure to treat conditions early in an outpatient setting due to limited availability.[2] These rates are also highly correlated with general hospitalization rates and reflect the tendency for a population to overuse the hospital setting as a site for care. Preventable hospitalizations place a financial burden on heath care systems as they could have been avoided with earlier, less costly interventions. Preventable hospitalizations are more common in those who are uninsured, which often leads to large unpaid medical bills.[3]

Potentially preventable hospitalizations are a significant issue with regard to both quality and cost. The Agency for Healthcare Research and Quality (AHRQ) reports that in the year 2000, nearly 5 million admissions to U.S. hospitals involved treatment for one or more potentially preventable conditions, with a resulting cost of more than $26.5 billion. Furthermore, AHRQ states that “While some hospitalizations were likely inevitable, many might have been prevented if individuals had received high quality primary and preventive care. Identifying and reducing such avoidable hospitalizations could help alleviate the economic burden placed on the U.S. health care system. Assuming an average cost of $5,300 per admission, even a 5 percent decrease in the rate of potentially avoidable hospitalizations could result in a cost savings of more than $1.3 billion.”[4]

Preventable hospitalizations are also a window into the disparities that exist in the health care delivery system. In a study of 2003 data by Russo et al[5]., racial and ethnic disparities existed in the rates of preventable hospitalizations, with blacks generally having the highest rates and Hispanics the second highest rates. In particular, disparities were greatest for hospitalizations related to chronic health conditions such as diabetes, hypertension, and asthma. Compared with non-Hispanic whites, rates of admission for these conditions were about 3 to 5 times greater among blacks and approximately 2 to 3 times greater among Hispanics.


Cardiovascular Deaths

Deaths from cardiovascular disease have consistently declined by 2 percent to 3 percent per year for the last decade, a notable accomplishment of the health care system. This decline is in spite of increasing risk factors such as obesity, high cholesterol, and high blood pressure.

Cardiovascular disease accounts for 17 percent of medical spending, 30 percent of Medicare spending, and totals nearly $150 billion annually.[6]


Children in Poverty

The difficult economic climate increases the challenge of maintaining a healthy population. The following graph depicts the continuing high percentage of children in poverty, increasing from 16.1 percent of children in the 2001 Edition to 21.4 percent of children in the 2012 Edition. The historic low of 15.8 percent of persons under age 18 was recorded in the 2002 Edition.

Children in poverty is an indication of the lack of access to health care, including preventive care, for this vulnerable population.

 

Infant Mortality

Infant mortality improved significantly in the 1990s but has largely stagnated between 6.5 and 7.0 deaths per 1,000 live births for the last 10 years. The nation’s overall infant mortality rate is consistently higher than other developed countries, and significant racial and ethnic disparities exist.[7]

 

Low Birthweight

For the last 6 years, between 8.1 percent and 8.3 percent of all infants are born with a low birthweight (<2,500 grams or 5 pounds, 8 ounces). This is up from 7.0 percent in 1993.

Babies born with low birthweight are often born preterm or have inadequate growth for other reasons. Low birthweight may occur as a result of inadequate clinical care during the prenatal period. Through regular clinical visits, the health of the mother can be assessed, health risks can be identified, and steps can be taken to improve the mother’s health. Low birthweight is associated with many characteristics of the mother such as smoking status, nutritional status, and psychosocial problems.


[1] The Kaiser Family Foundation. Trends in Health Care Costs and Spending. 2009;7692-02.

[2] Billings J. Recent findings on preventable hospitalizations. Health Aff. 1996;15(3):239.

[3] Weissman JS. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. JAMA. 1992;268(17):2388.

[4] Agency for Healthcare Research and Quality, US Department of Health and Human Services, http://www.ahrq.gov/data/hcup/factbk5/factbk5a.htm . Accessed October 27, 2011.

[5] Russo CA, Andrews RM, Coffey RM. Healthcare Cost and Utilization Project (HCUP) Statistical Brief #10, Rockville, MD: http://www.ncbi.nlm.nih.gov/books/NBK63497/#sb10.s2. 2006. Accessed on Oct 27, 2011.

[6] Trogdon JG, Finkelstein EA, Nwaise IA, Tangka FK, Orenstein D. The economic burden of chronic cardiovascular disease for major insurers. Health Promotion Practice. 8.3 (2007):234-42. Print.

[7] MacDorman MF, Mathews TJ. Recent Trends in Infant Mortality in the United States. Hyattsville, MD: US Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2008.

 



Health Disparities

For a population to be healthy, it must minimize health disparities among segments of the population, including differences that occur by gender, race or ethnicity, education, income, disability, geographic location, or sexual orientation.

The statewide measures used in America’s Health Rankings® reflect the condition of the “average” resident and can mask differences within the state. When the measures are examined by race, gender, geographic location and/or economic status, startling differences can exist within a state.

The National Healthcare Disparities Report (http://www.ahrq.gov/qual/nhdr11/nhdr11.pdf), released each year by the Agency for Healthcare Research and Quality, highlights disparities in healthcare delivery at a national level.[1] The report analyzes numerous measures and indicates that disparities exist for many groups, including women, children, the elderly, rural residents, and among racial and socio-economic groups. The report also indicates that such disparities affect all aspects of health and health care delivery, including preventive care, acute care, and chronic disease management. They also affect many health care delivery locations including primary care, home health care, hospice, emergency care, hospitals, and nursing homes.

The report highlights several key themes this year.

  • Health care quality and access are suboptimal, especially for minority and low-income groups.
  • Even though overall quality is improving, access and disparities are not improving.
  • Urgent attention is warranted with respect to certain services, geographic areas, and populations, such as:
    • Cancer screening and management of diabetes.
    • States in the central part of the country.
    • Residents of inner city and rural areas.
    • Disparities in preventive services and access to care.


All eight national priority areas — (1) Palliative and End-of-Life Care, (2) Patient and Family Engagement, (3) Population Health, (4) Safety, (5) Access, (6) Care Coordination, (7) Overuse, and (8) Health System Infrastructure — showed disparities related to race, ethnicity, and socioeconomic status. While each state has unique issues that contribute to disparities, states that have been successful in reducing disparities in health indicators while retaining high overall health can serve as models for other states.

Life expectancy has been shown to vary by both race and educational level, and these differences are expanding over time. This has led to at least “two Americas” in terms of life expectancy defined by racial-group membership and education level.[2]

Kulkarni et al.[3] further highlight the disparities that exist by calculating the extensive differences in life expectancy  by race and gender in counties throughout the United States. They showed that while overall U.S. life expectancy for men and women averaged 75.6 and 80.8 years respectively in 2007, county-by-county life expectancy ranged from 65.9 to 81.1 years for men and 73.5 to 86.0 years for women. If viewed from a racial disparity perspective, life expectancy at birth ranges from 59.4 to 77.2 years for black men and 69.6 to 82.6 years for black women.

For both men and women, life expectancies for whites consistently exceed life expectancies for blacks. Policies and programs to address this disparity should look at both the magnitude of disparity at the state level and the number of people affected.[4]

America’s Health Rankings® contains an explicit metric for disparities—Geographic Disparity. This indicator reflects the range of age-adjusted mortality rates that exist within a state at the county level. State data is available here. This overall disparity metric provides a broad view of the challenges facing a state.

Disparity is also present among the behavior of the race/ethnic groups within states. The tabs below show variations in the prevalence of smoking, sedentary lifestyle, and obesity by race/ethnicity and state. These tables, based upon 2009 and 2010 BRFSS data, illustrate that disparities differ by state. In some states there are large differences between racial/ethnic groups, whereas in other states, the differences are much less pronounced.

The tabs also show the variation in infant mortality rate by race group. Infant mortality varies greatly by race group and state.

This type of analysis, especially when expanded to encompass a broader range of social, economic, and health indicators, allows communities, their organizations, and public health officials to target programs to address the biggest areas of concern.

These tables show the disparity in recent data.  Each state profile, available at www.americashealthrankings.org/Reports, shows the trends in smoking, sedentary lifestyle, obesity, and infant mortality rate over the past 8 years. A file containing this data is also available at this web address.



[1] AHRQ. National Healthcare Disparities Report, 2011, AHRQ publication no. 12-0006. March 2012.

[2] Olshansky SJ, Antonucci T, Berkman L, et al. Differences in life expectancy due to race and educational differences are widening, and many may not catch up [disparities] Health Aff. 2012;31(8):1803-1813. http://content.healthaffairs.org. doi: 10.1377/hlthaff.2011.0746.

[3] Kulkarni SC, Levin-Rector A, Ezzati M, Murray CJL. Falling behind: life expectancy in US counties from 2000-2007 in an international context. Population Health Metrics. 2011, 9:16, http://www.pophealthmetrics.com/content/9/1/16.

[4] Bharmal N, Tseng C, Kaplan R, Wong MD. State-level variations in racial disparities in life expectancy. Health Services Research. 2011;46(5). http://dx.doi.org/10.1111%2F%28ISSN%291475-6773. doi: 10.1111/j.1475-6773.2011.01345.x.

 



Prevalence of Smoking
by Race/Ethnicity and State
(percent of adult population)

 

Non-Hispanic White

Non-Hispanic Black

Hispanic

Non-Hispanic Asian

Non-Hispanic Hawaiian / Pacific Islander

Non-Hispanic American Indian or Alaskan Native

Alabama

22.0%

21.7%

31.9%

 

 

35.0%

Alaska

17.5%

 

26.1%

 

 

37.9%

Arizona

15.5%

13.6%

16.1%

9.0%

 

16.5%

Arkansas

21.9%

22.7%

16.8%

 

 

 

California

12.6%

17.8%

12.2%

6.5%

18.0%

27.5%

Colorado

15.7%

17.1%

18.7%

12.4%

 

23.9%

Connecticut

14.1%

16.9%

14.2%

11.6%

 

 

Delaware

18.3%

15.5%

23.3%

1.7%

 

 

Florida

18.5%

15.8%

11.5%

6.5%

 

37.3%

Georgia

18.8%

15.7%

13.6%

7.6%

 

 

Hawaii

14.1%

 

21.4%

10.1%

23.1%

 

Idaho

15.9%

 

14.2%

 

 

31.7%

Illinois

17.0%

22.2%

17.8%

7.8%

 

 

Indiana

21.4%

30.8%

20.1%

 

 

42.3%

Iowa

16.4%

27.1%

15.4%

 

 

 

Kansas

16.9%

23.6%

17.1%

7.8%

 

43.4%

Kentucky

24.9%

27.3%

25.2%

 

 

45.5%

Louisiana

22.4%

21.1%

19.1%

 

 

27.6%

Maine

17.4%

 

25.1%

 

 

46.6%

Maryland

15.2%

17.1%

10.4%

7.7%

 

 

Massachusetts

14.4%

16.8%

14.7%

6.1%

 

37.1%

Michigan

18.7%

21.1%

21.6%

10.6%

 

28.6%

Minnesota

15.4%

21.2%

17.1%

2.9%

 

50.7%

Mississippi

22.7%

24.1%

18.8%

 

 

 

Missouri

21.5%

25.2%

20.5%

 

 

 

Montana

15.5%

 

29.4%

 

 

45.8%

Nebraska

16.3%

22.6%

16.5%

 

 

48.4%

Nevada

21.7%

22.3%

19.0%

20.9%

 

24.1%

New Hampshire

15.9%

 

17.4%

 

 

 

New Jersey

16.0%

17.0%

13.7%

7.3%

 

10.5%

New Mexico

15.9%

23.6%

20.0%

14.9%

 

20.9%

New York

17.0%

16.9%

16.3%

9.9%

 

 

North Carolina

20.0%

20.9%

13.9%

16.0%

 

34.0%

North Dakota

16.1%

 

32.8%

 

 

47.2%

Ohio

21.2%

22.8%

25.0%

4.4%

 

52.5%

Oklahoma

23.3%

31.9%

20.7%

9.1%

 

31.6%

Oregon

15.3%

 

16.3%

 

 

 

Pennsylvania

18.6%

27.3%

16.1%

7.2%

 

 

Rhode Island

15.4%

13.5%

11.6%

5.7%

 

 

South Carolina

20.6%

19.5%

17.2%

 

 

45.4%

South Dakota

14.4%

 

17.7%

 

 

50.5%

Tennessee

21.7%

19.8%

16.4%

 

 

 

Texas

17.8%

16.9%

15.5%

9.9%

 

32.3%

Utah

9.2%

 

11.2%

7.7%

 

20.3%

Vermont

15.7%

 

17.8%

 

 

 

Virginia

17.9%

18.0%

27.4%

11.4%

 

 

Washington

14.9%

20.7%

11.7%

4.9%

18.6%

29.2%

West Virginia

26.3%

21.1%

22.8%

 

 

 

Wisconsin

17.9%

25.5%

29.6%

 

 

30.3%

Wyoming

18.6%

 

24.2%

 

 

50.6%

United States

17.8%

19.6%

14.4%

8.5%

20.7%

33.0%

Centers for Disease Control and Prevention (CDC).  Behavioral Risk Factor Surveillance Survey Data, Atlanta, GA. 2009-2010.  Blank indicates data is not available for this subgroup.

 

Note: Differences between groups may be more or less than shown because the reliability of self-report data varies by ethnic and racial groups.

 



Prevalence of Sedentary Lifestyle
by Race/Ethnicity and State

(percent of adult population)

 

Non-Hispanic White

Non-Hispanic Black

Hispanic

Non-Hispanic Asian

Non-Hispanic Hawaiian / Pacific Islander

Non-Hispanic American Indian or Alaskan Native

Alabama

29.4%

36.1%

29.2%

 

 

27.0%

Alaska

19.8%

 

23.1%

 

 

28.8%

Arizona

19.2%

19.8%

23.9%

5.1%

 

18.2%

Arkansas

29.4%

31.7%

29.9%

 

 

 

California

16.1%

26.4%

27.0%

19.3%

19.1%

28.1%

Colorado

14.8%

26.9%

27.7%

18.8%

 

27.7%

Connecticut

19.9%

27.4%

27.5%

28.1%

 

 

Delaware

20.7%

32.1%

30.4%

23.2%

 

 

Florida

22.2%

28.9%

29.9%

19.5%

 

23.8%

Georgia

22.6%

28.8%

30.1%

25.8%

 

 

Hawaii

14.8%

 

21.4%

23.0%

26.4%

 

Idaho

19.2%

 

35.6%

 

 

27.9%

Illinois

23.3%

29.5%

27.2%

23.3%

 

 

Indiana

26.2%

32.5%

28.0%

 

 

32.9%

Iowa

23.8%

32.7%

34.3%

 

 

 

Kansas

22.8%

26.5%

34.1%

19.0%

 

29.6%

Kentucky

29.6%

30.9%

26.2%

 

 

27.8%

Louisiana

26.4%

35.9%

25.1%

 

 

35.1%

Maine

21.8%

 

16.7%

 

 

33.1%

Maryland

20.7%

29.1%

28.6%

23.9%

 

 

Massachusetts

18.6%

26.2%

35.5%

21.5%

 

29.8%

Michigan

22.7%

29.6%

23.9%

17.7%

 

23.8%

Minnesota

16.8%

29.4%

24.6%

13.3%

 

17.9%

Mississippi

30.3%

37.2%

27.3%

 

 

 

Missouri

25.7%

37.5%

34.6%

 

 

 

Montana

21.1%

 

23.7%

 

 

29.9%

Nebraska

23.2%

40.8%

35.6%

 

 

25.7%

Nevada

22.4%

25.5%

27.5%

21.2%

 

21.3%

New Hampshire

20.7%

 

22.5%

 

 

 

New Jersey

22.7%

31.1%

36.9%

23.7%

 

32.7%

New Mexico

18.7%

23.5%

26.3%

14.0%

 

24.4%

New York

22.7%

29.3%

30.6%

21.1%

 

 

North Carolina

24.4%

32.6%

26.7%

25.4%

 

31.2%

North Dakota

25.0%

 

49.5%

 

 

28.3%

Ohio

25.3%

35.0%

27.6%

20.1%

 

36.5%

Oklahoma

29.7%

36.4%

35.7%

27.8%

 

30.2%

Oregon

17.3%

 

21.3%

 

 

 

Pennsylvania

24.5%

31.9%

33.6%

27.5%

 

 

Rhode Island

23.3%

35.2%

31.2%

31.7%

 

 

South Carolina

24.9%

30.7%

35.6%

 

 

38.9%

South Dakota

24.0%

 

20.6%

 

 

31.8%

Tennessee

29.5%

33.6%

39.6%

 

 

 

Texas

23.1%

30.7%

33.7%

20.6%

 

24.2%

Utah

16.2%

 

32.6%

24.1%

 

22.2%

Vermont

18.9%

 

17.9%

 

 

 

Virginia

20.7%

30.8%

30.7%

20.3%

 

 

Washington

17.7%

24.1%

31.4%

19.0%

16.1%

22.6%

West Virginia

32.9%

43.2%

36.4%

 

 

 

Wisconsin

21.6%

35.1%

26.0%

 

 

30.0%

Wyoming

22.3%

 

22.9%

 

 

18.2%

United States

22.4%

30.9%

30.6%

21.1%

22.6%

28.0%

Centers for Disease Control and Prevention (CDC).  Behavioral Risk Factor Surveillance Survey Data, Atlanta, GA. 2009-2010. Blank indicates data is not available for this subgroup.

 

Note: Differences between groups may be more or less than shown because the reliability of self-report data varies by ethnic and racial groups.

 



Prevalence of Obesity
by Race/Ethnicity and State

(percent of adult population)

 

Non-Hispanic White

Non-Hispanic Black

Hispanic

Non-Hispanic Asian

Non-Hispanic Hawaiian / Pacific Islander

Non-Hispanic American Indian or Alaskan Native

Alabama

28.8%

43.1%

31.1%

 

 

33.5%

Alaska

23.7%

 

33.5%

 

 

30.8%

Arizona

24.1%

30.4%

31.0%

8.0%

 

41.9%

Arkansas

30.4%

43.2%

31.0%

 

 

 

California

21.6%

37.7%

31.1%

9.6%

21.6%

31.5%

Colorado

18.7%

28.5%

24.5%

7.6%

 

31.2%

Connecticut

21.0%

41.4%

28.6%

7.0%

 

 

Delaware

26.4%

41.1%

28.9%

 

 

 

Florida

24.7%

39.1%

29.1%

12.3%

 

29.2%

Georgia

26.1%

37.6%

37.6%

7.0%

 

 

Hawaii

19.4%

 

25.7%

13.4%

58.5%

 

Idaho

25.3%

 

33.3%

 

 

40.3%

Illinois

26.0%

41.0%

31.1%

9.7%

 

 

Indiana

29.7%

37.2%

32.5%

 

 

33.0%

Iowa

28.9%

31.0%

29.4%

 

 

 

Kansas

28.9%

39.4%

35.4%

5.5%

 

34.9%

Kentucky

31.8%

42.5%

38.7%

 

 

25.6%

Louisiana

29.3%

41.6%

28.9%

 

 

39.2%

Maine

27.0%

 

20.9%

 

 

28.9%

Maryland

24.4%

36.7%

29.7%

7.5%

 

 

Massachusetts

22.1%

31.5%

29.9%

9.9%

 

24.9%

Michigan

29.2%

42.1%

38.8%

8.4%

 

41.7%

Minnesota

25.1%

26.6%

27.9%

19.2%

 

37.6%

Mississippi

30.9%

43.2%

33.4%

 

 

 

Missouri

30.1%

39.3%

29.1%

 

 

 

Montana

22.7%

 

23.8%

 

 

40.7%

Nebraska

27.0%

39.6%

35.4%

 

 

46.6%

Nevada

24.4%

30.4%

23.4%

16.6%

 

35.2%

New Hampshire

26.2%

 

21.0%

 

 

 

New Jersey

23.3%

36.0%

27.8%

8.1%

 

27.5%

New Mexico

20.6%

26.9%

30.7%

10.0%

 

39.1%

New York

23.8%

32.2%

26.8%

9.1%

 

 

North Carolina

26.5%

42.9%

24.8%

6.5%

 

33.9%

North Dakota

27.5%

 

40.8%

 

 

45.3%

Ohio

28.7%

42.5%

33.1%

8.5%

 

36.2%

Oklahoma

29.9%

42.9%

29.7%

5.7%

 

41.1%

Oregon

25.2%

 

28.3%

 

 

 

Pennsylvania

28.0%

38.9%

35.2%

4.7%

 

 

Rhode Island

24.7%

35.7%

31.4%

12.9%

 

 

South Carolina

27.8%

39.9%

39.9%

 

 

31.0%

South Dakota

28.3%

 

32.2%

 

 

39.8%

Tennessee

31.1%

42.4%

20.0%

 

 

 

Texas

26.9%

38.4%

37.8%

9.3%

 

36.8%

Utah

23.1%

 

29.4%

7.8%

 

31.2%

Vermont

23.6%

 

19.0%

 

 

 

Virginia

25.1%

38.1%

24.1%

6.0%

 

 

Washington

26.4%

35.7%

31.8%

6.1%

27.1%

42.2%

West Virginia

32.1%

42.0%

28.3%

 

 

 

Wisconsin

27.2%

49.4%

19.3%

 

 

43.4%

Wyoming

24.6%

 

32.9%

 

 

40.9%

United States

26.1%

38.8%

31.0%

9.4%

26.3%

35.8%

Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance Survey Data, Atlanta, GA. 2009-2010. Blank indicates data is not available for this subgroup.

 

Note: Differences between groups may be more or less than shown because the reliability of self-report data varies by ethnic and racial groups.

 



Infant Mortality Rate
by Race

(deaths per 1,000 live births)

 

White

Black

Alabama

6.2

13.2

Alaska

5.2

 

Arizona

5.3

16.9

Arkansas

6.3

12.6

California

4.7

11.2

Colorado

5.7

16.6

Connecticut

4.6

11.9

Delaware

4.6

17.0

Florida

5.2

12.2

Georgia

5.2

11.6

Hawaii

5.1

 

Idaho

5.4

 

Illinois

5.6

13.7

Indiana

6.7

16.7

Iowa

4.3

11.6

Kansas

6.2

14.4

Kentucky

6.4

11.6

Louisiana

6.5

12.5

Maine

5.8

 

Maryland

4.2

13.4

Massachusetts

5.0

6.4

Michigan

5.6

15.6

Minnesota

4.1

7.4

Mississippi

7.1

13.7

Missouri

6.1

13.7

Montana

5.1

 

Nebraska

5.1

9.9

Nevada

5.7

9.0

New Hampshire

 

 

New Jersey

3.9

10.9

New Mexico

5.0

 

New York

4.5

9.7

North Carolina

5.5

15.9

North Dakota

4.6

 

Ohio

6.2

15.1

Oklahoma

6.4

16.3

Oregon

4.9

 

Pennsylvania

5.8

14.3

Rhode Island

5.0

15.3

South Carolina

5.2

10.9

South Dakota

6.0

 

Tennessee

6.1

15.1

Texas

5.3

11.1

Utah

5.3

 

Vermont

5.8

 

Virginia

5.6

13.5

Washington

4.7

9.1

West Virginia

7.3

 

Wisconsin

4.9

16.1

Wyoming

5.8

 

United States

5.3

12.64

 



International Comparisons

Comparison to Other Nations

When health in the United States is compared to health in other countries, the picture is disappointing. In an often cited report from 2000, the World Health Organization (WHO) ranked the U.S. health care system 37th in the world.[1] Although this report is often criticized as outdated, the WHO in its World Health Statistics 2012 publication compares the United States to other countries of the world on a variety of health related measures.[2] While the U.S. does outperform many countries, it is far from the best in many of the key measures used to gauge healthiness, and it lags behind its peers in other developed countries.

Life expectancy is a measure that indicates the number of years that a newborn can expect to live. Japan is the perennial leader in this measure, with a life expectancy of over 86 years on average for females and just under 80 years for males (San Marino men have a longer life expectancy at 82 years).[3] With a life expectancy of 81 years for women and 76 years for men, the United States ranks 29th among the 193 reporting nations of the WHO.[4] The tab below lists a few other countries for comparison purposes. Life expectancy in the U.S. doesn’t compare to most other developed countries as U.S. male life expectancy rates are on par with Chile, Cuba, and Slovenia and U.S. female life expectancy rates are on par with Colombia, Cuba, Czech Republic, and Poland.

If you view life expectancy at a more granular level, i.e. at the county level, and compare it to other leading nations, U.S. life expectancy rates appear even worse.[5] While many U.S. counties (33 counties for men and 8 counties for women) exceed the average life expectancy of the 10 leading nations, by far the majority of U.S. counties lag behind these other nations. In fact, 92 U.S. counties for men and 2 U.S. counties for women have life expectancy rates similar to those experienced by other leading nations back in 1957 or earlier. Life expectancy rates in 1,406 U.S. counties are now further behind those of developing nations than they were 7 years earlier.[6]

One of the underlying causes for these differences is the gap in infant mortality rates between the United States and many other countries (see tab below). In 2011, the infant mortality rate for the U.S. was 6 deaths per 1,000 live births, ranking the U.S. 40th among WHO nations.[7] Rates for Denmark, Portugal, Italy, Germany, France, Czech Republic, Norway, and Ireland are all half of the U.S. rate. These countries also have considerably lower infant mortality rates than that of non-Hispanic whites in the United States, the ethnic/racial group with the lowest rates in the United States. It should be noted that this rate is dependent on the classification of infant mortality, which varies between countries.

Differences in healthy life expectancy are also impacted by the effectiveness of treating disease, especially diseases that are amenable to care such as bacterial infections, treatable cancers, diabetes, cardiovascular and cerebrovascular disease, some ischemic heart disease, and complications from common surgical procedures. The age-adjusted amenable mortality rate before age 75 for the United States was 95.5 deaths per 100,000 population in 2006 to 2007.[8] This is a considerable improvement from 120.2 deaths per 100,000 population in 1997 to 1998, but the rate of improvement was much slower than in other Organization for Economic Cooperation and Development (OECD) nations studied. The rate in the U.S. remains 50 percent higher than the rates in Australia, France, Japan, and Italy. This study estimated that if the United States achieved rates on par with comparative countries, between 59,500 and 84,300 deaths before age 75 would have been saved.

Per capita health care spending in the United States continues to lead the world (see tab below). The median expenditure among OECD countries is around $3,000 per person; in the U.S., it is over $8,000 per person.[9] The annual growth rate of spending in the United States from 2000 through 2010 was 4.3 percent, slightly under the average of 4.7 percent among OECD countries.[10] Utilization of health care in the United States also exceeds other OECD countries with 25 percent of adults taking at least 4 prescriptions regularly compared to a median of 17 percent among studied countries. U.S. patients receive 91 MRI exams per 100,000 population compared to under 50 exams per 100,000 population in the other 5 reporting countries.[11]

Not only does the U.S. spend the most on health care, it also has one of the highest health inequalities compared to other developed countries. The U.S. ranks among the worst OECD countries for child health well-being, having an inequality higher than average.[12] Although the U.S. has the highest national income per person, it continues to rank as the worst country for income inequality. This inequality is thought to explain why it has the highest index of health and social problems compared to other wealthy nations.[13]

Physical inactivity is a major contributor to disease worldwide and is the fourth leading risk factor for global mortality.[14] With roughly a third of the world’s population inactive, physical inactivity is responsible for an estimated 6 to 10 percent of non-communicable diseases such as heart disease, type 2 diabetes, breast cancer, and colon cancer. Overall it is responsible for 9 percent of premature deaths—5.3 million deaths in 2008.[15] In the U.S., 40 percent of the population is physically inactive, which is higher than both Canada at 34 percent and Mexico at 38 percent. It is estimated that eliminating physical inactivity in the U.S. could add nearly a year to life expectancy and dramatically reduce the burden of chronic diseases.[16]

Obesity is another major contributor to disease. North America has 34 percent of the world’s biomass due to obesity, yet it only makes up 6 percent of the world population. Asia, on the other hand, has 61 percent of the world population yet only 13 percent of its biomass due to obesity.[17] While the U.S. is only one of several countries that make up North America, they are the only North American nation to rank in the heaviest 10.

Despite the highest per capita spending on health care, the U.S. doesn’t fare well in most comparisons to other developed countries. Key indicators of health and the health care system are substantially lower in the U.S. compared to other countries. The U.S. has some of the most state-of-the-art health care facilities, yet behavioral factors such as physical inactivity, smoking, and dietary choices, combined with disparities, result in poor performance. Innovative solutions from the individual to the national level are needed in order to address the health care challenges of the future.


[1] The world health report 2000 - health systems: Improving performance. Bulletin- World Health Organization. 2000;78:1064.

[2] World Health Organization (2012). World Health Statistics 2012.

[3] World Health Organization (2012). World Health Statistics 2012.

[4] Holstein AD. Health outcomes and the cost-quality trade-off in health care: Empirical study of OECD countries. The International Business Economics Research Journal. 2004;3(7).

[5] Kulkarni SC. Falling behind: Life expectancy in US counties from 2000 to 2007 in an international context. Population Health Metrics. 2011;9(1):16. doi: 10.1186/1478-7954-9-16.

[6] Kulkarni SC. Falling behind: Life expectancy in US counties from 2000 to 2007 in an international context. Population Health Metrics. 2011;9(1):16. doi: 10.1186/1478-7954-9-16.

[7] World Health Organization (2012). World Health Statistics 2012.

[8] Nolte E. Variations in amenable mortality—trends in 16 high-income nations. Health Policy. 2011;103(1):47.

[9] Organization for Economic Co-operation and Development. OECD Health Data 2012.

[10] Organization for Economic Co-operation and Development. OECD Health Data 2012.

[11] Squires DA. The U.S. health system in perspective: A comparison of twelve industrialized nations. Issue Brief (Commonwealth Fund). 2011;16:1-14.

[12] UNICEF. The children left behind: A league table of inequality in child well-being in the world’s rich countries. Innocenti Research Centre: Report Card 9. 2010.

[13] Wilkinson RG, Prickett KE. Income inequality and social dysfunction. Annual Review of Sociology. 2009.

[14] World Health Organization. Global Health Risks Mortality and Burden of Disease Attributable to Selected Major Risks. Updated 2009.

[15] Lee I, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. The Lancet. 2012.

[16] Lee I, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. The Lancet. 2012.

[17] Walpole SC, Prieto-Merino D, Edwards P, Cleland J, Stevens G, Roberts I. The weight of nations: An estimation of adult human biomass. BMC Public Health. 2012.

 



Country

Deaths per 1,000 live births

Rank**

Australia

4

22

Austria

4

22

Belgium

4

22

Canada

5

33

China

13

74

Czech Republic

3

9

Denmark

3

9

Finland

2

1

France

3

9

Germany

3

9

Greece

4

22

Hungary

5

33

Ireland

3

9

Israel

4

22

Italy

3

9

Japan

2

1

Mexico

13

74

Netherlands

3

9

New Zealand

5

33

Norway

3

9

Poland

5

33

Portugal

3

9

Spain

4

22

Sweden

2

1

Switzerland

4

22

United Kingdom

4

22

United States of America

6

40

**Rank among 193 member countries of WHO

 



Country

Life Expectancy (years at birth)

 

Male

Rank**

Female

Rank**

Australia

80

2

84

7

Austria

78

14

83

11

Belgium

77

27

83

11

Canada

79

7

83

11

China

72

53

76

76

Czech Republic

74

40

80

35

Denmark

77

27

81

32

Finland

77

27

83

11

France

78

14

85

2

Germany

78

14

83

11

Greece

78

14

83

11

Hungary

70

80

78

52

Ireland

77

27

82

26

Israel

80

2

83

11

Italy

79

7

84

7

Japan

80

2

86

1

Mexico

73

44

78

52

Netherlands

78

14

83

11

New Zealand

79

7

83

11

Norway

79

7

83

11

Poland

71

66

80

35

Portugal

76

34

82

26

Spain

78

14

85

2

Sweden

79

7

83

11

Switzerland

80

2

84

7

United Kingdom

78

14

82

26

United States of America

76

34

81

32

**Rank among 193 member countries of WHO

 



Country

Health Expenditure

Australia

8.7

Austria

11.0

Belgium

10.7

Canada

11.3

China

5.1

Czech Republic

7.9

Denmark

11.4

Finland

9.0

France

11.9

Germany

11.6

Greece

10.3

Hungary

7.3

Ireland

9.2

Israel

7.6

Italy

9.5

Japan

9.5

Mexico

6.3

Netherlands

11.9

New Zealand

10.1

Norway

9.5

Poland

7.5

Portugal

11.0

Spain

9.5

Sweden

9.6

Switzerland

11.5

United Kingdom

9.64

United States of America

17.89

Total expenditure on health as % of gross domestic product