Community Profile 2007 Wagoner County and Broken Arrow Prepared by the Community Service Council of Greater Tulsa January, 2007

Community Profile 2007Community Profile 2007Wagoner County and Broken ArrowWagoner County and Broken Arrow

Prepared by the Community Service Council of Greater TulsaJanuary, 2007

How Well do You Know Your How Well do You Know Your Community?Community?

1. How did Wagoner County’s population change between 2000 & 2005?a. down 8% b. no change c. up 12%

2. What percentage of Broken Arrow’s 65+ population live alone?a. 10% b. 22% c. 36%

3. What percentage of Wagoner County’s elementary school children participate in the school free & reduced lunch program?

a. 28% b. 41% c. 55%

4. What percentage of Oklahoma’s working age population have no health insurance?

a. 13% b. 25% c. 48%

5. What percentage of Broken Arrow’s population with disabilities are employed?

a. 68% b.46% c. 29%

Community Profile 2007Community Profile 2007

Demographic TrendsHuman DevelopmentPanel TopicsBest Practices

Demographic Trends in Wagoner County Demographic Trends in Wagoner County & Broken Arrow (part 1)& Broken Arrow (part 1)

Wagoner County, Broken Arrow and Coweta have all experienced high rates of population growth since 2000.

Growing cultural diversity, particularly among the population <25

Living arrangements are changing significantly with more children living with a single parent, especially the mother, and living with other relatives, especially grandparents

Wagoner County’s population 65+ projected to make up 22% of population by 2030 (up from 10% in 2000)

Population <18 projected to account for 23% of population by 2030 (down from 28% in 2000)

As working age population’s share declines, the 2030 projected dependency ratio climbs to 81 per 100, up from 61 per 100 in 2000


Larger number of people over 65 years of age are living alone, especially women

Median family income varies by race

Large population of mobile renters


Prepared by the Community Service Council of Greater Tulsa

Population Trends: Wagoner County, TAUW Service Area and Tulsa Metropolitan Statistical Area

1970, 1980, 1990, 2000 and 2005 (est.)

Source: US Census Bureau, 1970, 1980, 1990 & 2000 Censuses; Population Estimates Program, 2005.

1970 1980 1990 2000 2005(est.)

0100,000200,000300,000400,000500,000600,000700,000800,000900,000

1,000,000

Wagoner Co.

TAUW

Tulsa MSA

Wagoner Co. 22,163 41,801 47,883 57,491 64,200

TAUW 561,210 696,342 745,444 842,920 870,900

Tulsa MSA 572,548 711,652 761,019 859,532 887,800

Wagoner County’s population grew 12% between 2000 and 2005, while those of TAUW service area and Tulsa MSA increased only 3%.


Population of Selected Cities in Wagoner County1970, 1980, 1990, 2000 and 2005 (est.)

Source: US Census Bureau, 1970, 1980, 1990 & 2000 Censuses; Population Estimates Program, 2005.

Broken Arrow

Wagoner

Coweta

0 20,000 40,000 60,000 80,000 100,000

1970

1980

1990

2000

2005 (est.)

Broken Arrow Wagoner Coweta

1970 11,787 4,959 2,457

1980 35,761 6,191 4,554

1990 58,043 6,894 6,159

2000 79,871 7,698 7,531

2005 (est.) 86,230 7,880 8,350

Coweta’s population increased 11% between 2000 and 2005, while Broken Arrow grew 7% and Wagoner grew 2%.


Population by Race and Hispanic OriginWagoner County and Broken Arrow, 2000

Source: US Census Bureau, 2000 Census.

46,03280.1%

2960.5%

5,3939.4%

2,1583.8%

3,1105.4%

5020.9%

63,88685.3%

1,4251.9%

3,0074.0%

2,7933.7%

2,7973.7%

9511.3%

White Asian* American Indian*

Black Two or more races Some other race

Notes: Persons of Hispanic origin may be of any race, and therefore are not included separately in pie chart. Native Hawaiians and other Pacific Islanders are Included in "Asian" race category Alaska Natives are included in "American Indian" race category.

Hispanic Origin*(N=1,437) 2.5%

Hispanic Origin*(N=2,664) 3.6%

Wagoner County Broken Arrow


Population by Race and Hispanic OriginWagoner County, 2005 Estimates

Source: US Census Bureau, US Census Bureau, Population Estimates Division, 2005 Population Estimates by Age.

51,89480.9%

4690.7%

5,9329.2%

2,6934.2%

3,1925.0%

30.0%

White Asian* American Indian*

Black Two or more races Some other race

Notes: Persons of Hispanic origin may be of any race, and therefore are not included separately in pie chart. Native Hawaiians and other Pacific Islanders are Included in "Asian" race category Alaska Natives are included in "American Indian" race category.

Hispanic Origin*N=2,240 (3.5%)


Births by Race of MotherWagoner County, 2005

Source: Oklahoma State Department of Health, Vital Statistics.

White613 (79.8%)

Black32 (4.2%)

Amer. Indian115 (15.0%)

Asian/Pacific Islander8 (1.0%)

Total births=768Hispanic origin: 23 (3.0%)


Age DistributionWagoner County, 2000 & 2005 Estimate

Source: US Census Bureau, 2000 Census; US Census Bureau, Population Estimates Division, 2005 Population Estimates by Age.

4,056(7.1%)

12,104(21.1%)

4,531(7.9%)

30,962(53.9%)

5,381(9.4%)

457(0.8%)

3,735(5.8%)

11,818(18.4%)

6,653(10.4%)

35,503(55.3%)

5,946(9.3%)

527(0.8%)

0-4 5-17 18-24 25-64 65-84 85+

2000 2005 Estimate


Age DistributionBroken Arrow and Wagoner, 2000


5,954(8.0%)

17,134(22.9%)5,749

(7.7%)

40,397(54.0%)

5,020(6.7%)

605(0.8%)

627(8.2%)

1,531(20.0%)

756(9.9%)

3,625(47.3%)

972(12.7%)

158(2.1%)

0-4 5-17 18-24 25-64 65-84 85+

Broken Arrow Wagoner


Living Arrangements of Children Under 18Wagoner County and Broken Arrow, 2000

Source: U. S. Bureau of the Census.

72.2%

4.8%

13.6%7.6%

79.1%

3.6%

12.4%

3.8%

Married Couple Male-headed Female-headed Other relatives0%

20%

40%

60%

80%

100%Wagoner County Broken Arrow


Children in Non-Traditional SettingsWagoner County and Broken Arrow, 2000

Source: U. S. Bureau of the Census; Department of Human Services.

Living withgrandparents

Living withother relatives

Foster care(Sept. 2005)

Juvenileinstitutions

0

500

1,000

1,500

Number of children

Children inWagoner Co.

Children in BA

Children inWagoner Co.

1,056 180 122 3

Percentage ofchildren <18

6.5% 1.1% 0.8% 0%

Children in BA 683 199 NA 0

Percentage ofchildren <18

3% 0.9% NA 0%


Living Arrangements of Persons Age 65 & OlderWagoner County and Broken Arrow, 2000

Source: U. S. Census Bureau, Census 2000.

24.2%

71.7%

2.3%

1.9%

21.7%

68.2% 8.6%1.5%

Live alone Family households Group quarters Other

73% of the 65+ population in Wagoner County living alone are female; 81% of

those in Broken Arrow are female.

Wagoner County Broken Arrow


Median Family Income, by RaceWagoner County and Broken Arrow, 1999

Source: U.S. Census Bureau, Census 2000.

Total White Black AmericanIndian

Asian Hispanic$0

$20,000

$40,000

$60,000

$80,000

$100,000Annual Income

Wagoner Co. Broken Arrow

Wagoner Co. $47,062 $48,934 $27,778 $40,734 $46,250 $40,550

Broken Arrow $58,891 $59,180 $60,481 $53,900 $77,704 $52,552


Occupied Housing Units by TenureWagoner County, 2000 & Broken Arrow, 2000 & 2005 (est.)

Source: US Census Bureau, 2000 Census; US Census Bureau, American Community Survey, 2005.

81.0%

19.0%

78.9%

21.1%

80.4%

19.6%

Owner-occupied Renter-occupied

Wagoner County Broken Arrow2000 2005 (est.)


Housing Units by Householder's Length of Residence and by TenureWagoner County and Broken Arrow, 2000


12.6%

27.9%59.5%

41.4%

37.8%

20.8%

13.5%

31.4% 55.1%48.8%

37.0%

14.2%

15 months or less 16 months to 4 years 5 years or more

Wagoner Co. owner-occupied

Broken Arrow owner-occupied

Wagoner Co. renter-occupied

Broken Arrow renter-occupied

In Wagoner County, median household income for owner-occupied housing units =

$46,107; for renter-occupied = 23,209

In Broken Arrow, median household income for owner-occupied housing units =

$60,188; for renter-occupied = 32,056

Tulsa Area Human Development IndustryTulsa Area Human Development IndustryWhat is it?What is it?

Independent and collective action of efforts to address the education, health, housing, family support, emergency financial, and transportation needs of families and individuals in the Tulsa area.

Increasingly these efforts seek to prevent needs through promoting increased self-sufficiency among people in the Tulsa area while still intervening to respond to crises and other concerns.

The Roots of the ChallengeThe Roots of the ChallengeThirty Year of Economic and Social ChangesThirty Year of Economic and Social Changes

Emergence of new persistent poor in late 1960's and early 1970's

Massive loss of low skill/high pay jobs Sharp rise in working poor Decline in young male workers' wages Increase in female headed families Impact of substance abuse

All trends disproportionately affected:~African-Americans~young children & young families

Human Development: Human Development: Key PointsKey Points

Middle class is disappearingMany households lack adequate

incomeStress of inadequate income and

related conditions is widespreadStarting life in Wagoner County for

many is risky business

Human Development: Human Development: Key Points…Key Points…continuedcontinued

Populations of aging and persons with disabilities are large and growing

Health challenges are critical to individual and community well-being

Poor human conditions impact crime and growing incarcerations

Overall progress in human development is tied to educational success

The Middle Class is DisappearingThe Middle Class is Disappearing

~Lower income groups greatly expand, middle shrinks,

highest income group increases dramatically


Source: Hodgkinson, Harold, "The Client," Education Demographer, 1988.

1900 - 1940 1940 - 1990 1990 - ?0%

20%

40%

60%

80%

100%

Poor - 75%

Poor - 20%Poor - 10%

Rich - 20%

Middle - 60%

Rich - 5% Rich - 10%

Middle - 20%

Middle - 80%

The trend: housing patterns and income mirror the job structure, with more rich, more poor, and fewer in the middle -- the "hourglass effect"

The Overall Dominant Trend...The Shrinking Middle Class


Source: US Census Bureau, American Community Survey 2005.

Distribution of Wealth: Household IncomeU.S., Oklahoma, Tulsa MSA and Broken Arrow, 2005 Estimates

43.5%53.1% 49.4%

31.5%

40.1%

37.5%38.6%

53.2%

16.3%9.4% 12% 15.3%

U.S. Oklahoma Tulsa MSA Broken Arrow0%

20%

40%

60%

80%

100%

<$40,000/year

$40,000-$99,999/year

$100,000+/year

1% of U.S. households have

39.3% of the assets, making the U.S. the #1 country in the

world in inequality of income.


Income disparity between rich and poor grows wider beyond 1993

Mean Family Income by Quintile and Top 5% (2003 dollars)United States, 1966-2003

Source: Economic Policy Institute website.

1966

1968

1970

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

$0

$50,000

$100,000

$150,000

$200,000

$250,000

$300,000

Real hourly wage (2003 dollars)

Lowest Second Middle Fourth Highest Top 5%

Many Households Lack Many Households Lack Adequate IncomeAdequate Income

~More and more households lack adequate income to meet

living needs

The Self-Sufficiency StandardThe Self-Sufficiency Standard

Customized by specific family composition Customized by geographic location Based on all expense categories Updated annually using consumer price index

…The level of income required for a family to meet its own needs


Self-Sufficiency

Wage(annual)

Poverty Guidelines

(annual)

Dollar Difference

Self-SufficiencyPercent of

Poverty

One person

$18,291 $9,800 $8,491 187%

Two persons

$30,672 $13,200 $17,472 232%

Three persons

$35,050 $16,600 $18,450 211%

Four persons

$43,706 $20,000 $23,706 219%

Comparison of Self-Sufficiency Wage to Poverty Guidelines, by Size of Family

Wagoner County, 2006

Source: Wider Opportunities for Women, with Community Action Project of Tulsa County, "The Self-Sufficiency Standard for Oklahoma;" 2006 HHS Poverty Guidelines, Federal Register, Vol. 71, No. 15, January 24, 2006, pp. 3848-3849; Bureau of Labor Statistics, Consumer Price Index, November 2006.

($4.71 per hour)

($6.35 per hour)

($7.98 per hour)

($9.62 per hour)

($8.79 per hour)

($14.75 per hour)

($16.85 per hour)

($21.01 per hour)

Notes: For the self-sufficiency wages shown in table, family of two consists of one adult and one preschooler; family of three consists of one adult, one preschooler and one schoolage child; family of four consists of two adults, one preschooler and one schoolage child. Per hour wages given assume pay for 40 hours per week for 52 weeks.


Family of Three, Wagoner County, 2006

Source: Wider Opportunities for Women, with Community Action Project of Tulsa County, "The Self-Sufficiency Standard for Oklahoma;" 2006 HHS Poverty Guidelines, Federal Register, Vol. 71, No. 15, January 24, 2006, pp. 3848-3849; Bureau of Labor Statistics, Consumer Price Index, November 2006. Oklahoma State Dept. of Human Services; U.S. Census Bureau, 2000 Census.

$8,400$10,712

$16,600

$30,710

$45,623

WelfareWage

MinimumWage

PovertyWage

185% PovertyWage

Median Family Income (2000 census)

$0

$10,000

$20,000

$30,000

$40,000

$50,000Annual Wage

Self-Sufficiency Wage = $35,050 ($16.85/hr.)

Note: For the self-sufficiency wage, family of three consists of one adult, one preschooler and one schoolage child. The hourly wages given assume employment at 40 hours per week and 52 weeks per year.

Comparison of Wages: Self-Sufficiency, Welfare, Minimum, Poverty, 185% of Poverty, and Median Family Income

All families with children <18

($4.04/hr.)($5.15/hr.)

($7.98/hr.)

($14.76/hr.)

($21.93/hr.)


Monthly Budget Distribution for Typical Family of Three Earning Self-Sufficiency Wage


Source: Wider Opportunities for Women, with Community Action Project of Tulsa County, "The Self-Sufficiency Standard for Oklahoma;" Bureau of Labor Statistics, Consumer Price Index, November 2006.

Housing$701

Child Care$614

Food$438

Transportation$263

Health Care$292

Miscellaneous$234

Taxes$351

24%

21%

15%

9%

10%

8%

12%Self-sufficiency wage = $2,921 per month.

Notes: Family of three in this example consists of one adult, one preschooler and one schoolage child.


Ratio of Income to Poverty LevelPercentage of Total Population and Selected Age Groups



Total population

Under 18 Under 5 5-17 18-64 65+0%

10%

20%

30%

40%

50%

Percentage of population

100% 130% 185%

100% 8.9% 11.7% 14.3% 10.8% 7.6% 9.2%

130% 14.1% 18.3% 24.1% 16.3% 11.9% 16.1%

185% 26.3% 34% 39.8% 32% 22.2% 30.4%


Ratio of Income to Poverty LevelPercentage of Total Population and Selected Age Groups

Broken Arrow, 1999

Source: US Census Bureau, Census 2000.

Total population

Under 18 Under 5 5-17 18-64 65+0%

10%

20%

30%

40%

50%


100% 130% 185%

100% 4.5% 5.4% 5.8% 5.2% 3.8% 6.9%

130% 7.5% 9.4% 10.1% 9.1% 6.3% 10.6%

185% 15.1% 18.8% 22.5% 17.5% 12.5% 21.9%


Ratio of Income to Poverty Level for Total PopulationBroken Arrow, 1989, 1999 & 2005 Estimates

Source: US Census Bureau, 1990 & 2000 Censuses; US Census Bureau, American Community Survey 2005.

1989 1999 2005 (est.)0%

5%

10%

15%

20%

25%


Below 100% Below 185% Below 200%

Below 100% 6.5% 4.5% 9.3%

Below 185% 17.9% 15.1% 20%

Below 200% 20.4% 17.9% 23.4%


Median Family IncomeBy Family Type and Presence of Children under 18



$45,623

$52,066

$21,235

$24,012

$48,603

$51,766

$28,432

$37,813

All families

Married-couplefamilies

Female-headedfamilies

Male-headedfamilies

$0$20,000$40,000$60,000

Families WITH children

$0 $20,000 $40,000 $60,000

Families WITHOUT children


Median Family IncomeBy Family Type and Presence of Children under 18

Broken Arrow, 1999


$58,573

$64,491

$26,318

$38,929

$59,311

$62,053

$37,717

$50,417

All families

Married-couplefamilies

Female-headedfamilies

Male-headedfamilies

$0$20,000$40,000$60,000

Families WITH children

$0 $20,000 $40,000 $60,000

Families WITHOUT children


Labor Force Participation among Adults, Age 20-64Wagoner County, 1999

Source: US Census Bureau, Census 2000; Oklahoma Employment Security Commission.

25,75675.9%

8,17424.1%

In armed forces

Employed

Unemployed

45 (0.2%)

24,955 (96.9%)

756 (2.9%)

NOT in labor force

In labor force

Unemployment rate (all ages) for October 2006 = 3.1%.


Labor Force Participation among Adults, Age 20-64Broken Arrow, 1999

Source: US Census Bureau, Census 2000; Oklahoma Employment Security Commission.

36,20282.0%

7,96418.0%

In armed forces

Employed

Unemployed

48 (0.1%)

35,272 (97.4%)

882 (2.4%)

NOT in labor force

In labor force


Unemployment RatesTulsa MSA, 1991 - 2006

Source: U.S. Department of Labor, Bureau of Labor Statistics.

1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Oct.2006

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Rate 5.9 5.3 6.3 5.8 4.2 3.3 3.5 3.5 3.2 2.8 3.4 4.9 6.5 5.0 4.4 3.5


Many families in poverty have employed worker(s)Families in Poverty by Family Type and Employment Status



20.223.5

34.1

11.6

44.2 38.9

48.5

49.8

35.6 37.5 17.4 38.7

All familiesin poverty

Married-couplefamilies in poverty

Male-headedfamilies in poverty

Female-headedfamilies in poverty

0%

20%

40%

60%

80%

100%

Percent of impoverished families

Employment Status of Householder or SpouseFull-time Part-time Did not work


Many families in poverty have employed worker(s)Families in Poverty by Family Type and Employment Status

Broken Arrow, 1999


24.9 25.5 28.223.5

49.7 51.9

40.849.5

25.4 22.7 31 26.9

All familiesin poverty

Married-couplefamilies in poverty

Male-headedfamilies in poverty

Female-headedfamilies in poverty

0%

20%

40%

60%

80%

100%

Percent of impoverished families

Employment Status of Householder or SpouseFull-time Part-time Did not work


Population Living in Poverty, by AgeBroken Arrow, 1989, 1999 & 2005 Estimates

Source: US Census Bureau, 1990, & 2000 Censuses; US Census Bureau, American Community Survey 2005.

1989 1999 2005 (est.)0%

5%

10%

15%

20%


Total <18 18-64 65+

Total 6.5% 4.5% 9.3%

<18 8.1% 5.4% 13%

18-64 5.3% 3.8% 8.2%

65+ 11.6% 6.9% 4.5%

<18

Total

18-64

65+


Poverty Rates by Race and Hispanic OriginTotal Population and Under Age 5, Wagoner County, 1999



Asian Hispanic0%

10%

20%

30%

40%Total population Under 5

Total population 8.9% 7.2% 24.3% 14.2% 8.6% 15.5%

Under 5 14.3% 10.6% 35.4% 23.5% 8.7% 12.1%


Poverty Rates by Race and Hispanic OriginTotal Population and Under Age 5, Broken Arrow, 1999



Asian Hispanic0%

5%

10%

15%

20%

25%Total population Under 5

Total population 4.5% 4% 12.4% 4.1% 4.4% 4.1%

Under 5 5.8% 5.1% 21.9% 3.7% 14% 3.5%


Poverty Rates for Families by Family Type and Age of ChildrenWagoner County, 1999


5.2%7.1%

8.5%

3.5% 3.1%

20.1% 19.8%

36.6%

16.4%

5.2%

29.3%32.2%

50.8%

24.3%

5%

w/ children <18w/ children <5 only

w/ children <5 & 5-17w/ children 5-17 only

no children

0%

10%

20%

30%

40%

50%

60%Poverty rate

Married-couple

Male-headed

Female-headed


Poverty Rates for Families by Family Type and Age of ChildrenBroken Arrow, 1999


2.2% 1.4%

5.1%

1.4% 1.2%

10.6%

7.1% 6.4%

12.6%

3.5%

16.8%

39.7%37.6%

10.9%

7.1%

w/ children <18w/ children <5 only

w/ children <5 & 5-17w/ children 5-17 only

no children

0%

10%

20%

30%

40%

50%Poverty rate

Married-couple

Male-headed

Female-headed

Prepared by the Community Service Council of Greater TulsaPrepared by the Community Service Council of Greater Tulsa

Real Hourly Wage by Educational AttainmentUnited States, 1973-2005


1973

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

$0

$5

$10

$15

$20

$25

$30

$35


Less than high school High school College degree Advanced degree

Additional Indicators of Economic Additional Indicators of Economic DistressDistress

Public assistance programsFree & reduced school lunch

programHomeless sheltersHelpline and Babyline referrals


Participation in Public Assistance ProgramsNumber of Participants and Percentage of Population Participating

Wagoner County, August 2006

Source: Oklahoma Dept. of Human Services, County Profiles August, 2006; Oklahoma State Dept. of Education, Low Income Report for 2005-2006; US Census Bureau, Pop. Estimates Division, 2005 Estimates; Oklahoma State Department of Health-WIC Service, Caseload Report, August, 2006.

8,232

1,886

5,634

613

189

359

269

5,215

242

1,663

400

12.8%

50.5%

36.2%

9.5%

25.3%

9.3%

7.2%

8.1%

1.6%

44.6%

10.7%

Medicaid Total

Medicaid <5

Medicaid <18

Medicaid 65+

WIC Infants

WIC age 1-5

Child Care Subsidy <5

Food Stamps Total

TANF <18

Elem. School Free Lunch(2005-06)

Elem. School Reduced Lunch(2005-06)

02,0004,0006,0008,00010,000

Number of Participants

0% 10% 20% 30% 40% 50% 60%

Percent of Population


Elementary School Students Eligible for Free and Reduced Lunch Program

By School District, Wagoner County, 2005-2006 School Year

Source: Oklahoma State Dept. of Education, Low Income Report for 2005-2006.

44.6%

62.2%

56.2%

59.1%

28.1%

23.5%

10.7%

10.3%

14.6%

9.5%

10.9%

10.3%

Wagoner County Total

Okay

Porter

Wagoner

Coweta

Broken Arrow

0% 20% 40% 60% 80% 100%

Percent of Students Eligible

Free Reduced

Free lunch eligibility requirement: annual household income below 130% of poverty, which currently is $21,580 for a family of three.

Reduced lunch eligibility requirement: annual household income below 185% of poverty, which currently is $30,710 for a family of three.

Populations of Aging and Persons with Populations of Aging and Persons with Disabilities are Large and GrowingDisabilities are Large and Growing

~~These populations will These populations will significantly test the capacity of significantly test the capacity of

resources needed to enable them resources needed to enable them to be most self-sufficientto be most self-sufficient


Disability Prevalence by Age and Level of DisabilityOklahoma, 1997

Source: U.S. Bureau of the Census, 2001, Americans with Disabilities: 1997 (Aug.-Nov. 1997 data from Survey of Income and Program Participation).

2%

3.4%

11.2%

10.7%

13.4%

22.6%

35.7%

49%

73.6%

4.8%

5.3%

8.1%

13.9%

24.2%

31.8%

57.6%

0 to 2

3 to 5

6 to 14

15-24

25-44

45-54

55-64

65-79

80+

Age Group

0% 20% 40% 60% 80% 100%

Percent with Specified Level of Disability

Level of disabilityAny Severe

Health Challenges are Critical to Health Challenges are Critical to Individual and Community Well-beingIndividual and Community Well-being

~Inadequate income, high risks of starting life and poor lifestyle

choices contribute to major health concerns


Oklahoma's Rankings in Outcomes Associated with Poor Health, 1990 and 2006

According to United Health Foundation's State Health Rankings

Source: United Health Foundation.

#31

#27

#31

#24

#27

#44

#41

#44

#43

#50

#44

#43

Overall ranking

Poor mental health days

Poor physical health days

Infant mortality

Cardiovascular deaths

Cancer deaths

Premature death

1990 2006

Ranking: 1=best, 50=worst


Age-Adjusted Death RatesTulsa County, Oklahoma and US, 1980 - 2002

Source: CDC Wonder.

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

800

900

1,000

1,100

1,200

Death rates

Tulsa Co OK US


Percentage of the Population that is ObeseOklahoma and US, 1990 - 2002

Source: Lapolla, Health Policy Analysis of the Tulsa Metropolitan Area, Center for Health Policy Research and Development, OUCPH, 2005; NCHS, CDC; THD;

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

0%

5%

10%

15%

20%

25%

Percent obese

Oklahoma US


Percentage of Adults who SmokeTulsa County, Oklahoma and US, 2003

Source: NCHS, CDC; THD;Tulsa County Health Profile; NIH; BRFSS, CDC

22.7%

25.1%

22%

Tulsa Co. Oklahoma US0%

5%

10%

15%

20%

25%

30%

Percent adult smokers


Health Insurance Status, by AgeOklahoma, 2004-2005

Source: Kaiser Family Foundation.

1,648,530 (47.9%)

137,050 (4.0%)444,630 (12.9%)

553,150 (16.1%)

659,370 (19.2%)

424,880 (47.2%)

36,520 (4.1%)

283,680 (31.5%)

23,450 (2.6%)

130,780 (14.5%)

1,222,600 (59.3%)

100,090 (4.9%)123,040 (6.0%)

90,420 (4.4%)

524,320 (25.4%)

1,050 (0.2%)440 (0.1%)

37,910 (7.8%)

439,280 (91.0%)

4,270 (0.9%)

Employer Individual Medicaid Medicare/Other Public Uninsured

Total Population Under Age 19

Age 19-64 Age 65 & over

Tulsa’s uninsured and Medicaid beneficiaries seek primary care in Tulsa hospital ERs. ER visits by Medicaid recipients actually exceeded uninsured visits by 25%.

Tulsa hospital ER patient survey found that 73% were not true emergencies: 30% treated for non-emergency conditions – another 43% could have been treated in non-emergency facilities within 48 hours.

Using hospital ERs for non-emergency care is a costly and inefficient.

Non-emergency ER use is a major contributor to overload and frequent divert status of Tulsa hospital ERs — especially in the last 2 years.

THD – Patel/Woodruff 9/05

Lapolla, Health Policy Analysis of the Tulsa Metropolitan Area, Center for Health Policy Research and Development, OUCPH, 2005; THD CAP

Poor health conditions create huge inefficient Poor health conditions create huge inefficient demand on resources - Misuse of Hospitals demand on resources - Misuse of Hospitals

and Emergency Roomsand Emergency Rooms

Poor Human Conditions Impact Poor Human Conditions Impact Crime and Growing Crime and Growing

IncarcerationsIncarcerations

~Trends greatly affected by substance abuse

0

2,500

5,000

7,500

10,000

12,500

15,000

17,500

20,000

22,500

25,000

'50

'52

'54

'56

'58

'60

'62

'64

'66

'68

'70

'72

'74

'76

'78

'80

'82

'84

'86

'88

'90

'92

'94

'96

'98

'00

'02

'04

Oklahoma’s prison population was relatively stable until 1980 when laws passed to curb illegal drug use

came into effectOklahoma’s Prison Population

1950-2005

Source: Oklahoma State Department of Corrections, Prepared by the Community Service Council of Greater Tulsa for the Metropolitan Human Services Commission in Tulsa.

Note: Number of inmates in Oklahoma prisons, data as of June 30 of each year


Methamphetamine Labs Seized by AuthoritiesOklahoma and City of Tulsa, 1994 - 2005

Source: Oklahoma State Bureau of Narcotics and Dangerous Drugs Website, Tulsa Police Department Website.

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 20050

200

400

600

800

1,000

1,200

1,400

Number of labs discovered

Tulsa

Oklahoma

Tulsa 0 0 6 13 47 132 150 124 178 214 131 51

Oklahoma 10 34 125 241 275 781 946 1,193 1,254 1,235 812 274

Overall Progress in Human Overall Progress in Human Development is Tied to Development is Tied to

Educational SuccessEducational Success

~From preschool through post secondary education


Educational Attainment for Persons Age 25 & OlderWagoner County, 2000


18.7%

35.8%

23.7%

6.3%

11.4%

3%

0.7%

0.3%

Less than high school

High school graduate

Some college

Associate degree

Bachelor's degree

Master's degree

Professional school degree

Doctorate degree

0% 10% 20% 30% 40%

Percent of persons 25+


Educational Attainment for Persons Age 25 & OlderBroken Arrow, 2000 & 2005 Estimates

Source: US Census Bureau, Census 2000; US Census Bureau, American Community Survey 2005..



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

0% 5% 10% 15% 20% 25% 30%


2000

2005 (est.)



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

2000 8.3% 24.4% 27.1% 9.4% 22.7% 6% 1.5% 0.7%

2005 (est.) 7.1% 25.1% 27.1% 9.8% 24.2% 4.6% 1.4% 0.7%


Educational Attainment for Persons Age 25 & Older, by SexWagoner County, 2000


17.8%

35.7%

24.4%

6.1%

11.8%

2.8%

0.9%

0.5%

19.5%

36%

23.2%

6.5%

11%

3.1%

0.6%

0.1%



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

0%10%20%30%40%50% 0% 10% 20% 30% 40% 50%

Males Females



Educational Attainment for Persons Age 25 & Older, by SexBroken Arrow, 2000

Source: US Census Bureau, Census 2000.

7.1%

21.3%

26.7%

9.1%

25.6%

7%

2.1%

1.1%

9.4%

26.9%

27.5%

9.7%

20.1%

5.2%

1%

0.3%



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

0%10%20%30%40%50% 0% 10% 20% 30% 40% 50%

Males Females



Educational Attainment for Persons Age 25 & Older, by SexBroken Arrow, 2005 Estimates




Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree


0%5%10%15%20%25%30% 0% 10% 20% 30% 40% 50%

Males Females



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

Males 8.8% 22.6% 28.9% 8.7% 22.9% 4.7% 2.2% 1.2%

Females 5.6% 27.4% 25.4% 10.8% 25.5% 4.4% 0.7% 0.2%

Education Success: Preschool


Large pre-K enrollment in surrounding counties, as emphasis increasingly turns to assuring high quality

Enrollment in Public Pre-K Programs, by Full and Part DayCreek, Osage, Rogers and Wagoner Counties, October 2005

Source: Oklahoma State Department of Education; US Census Bureau, Population Estimates Division, 2005 Estimates.

30%

33%

19%

28%

64%

60%

10%

52%

21%

11%

10%

58%

29%

51%

24%

Creek Co.

Osage Co.

Rogers Co.

Wagoner Co.

Okmulgee Co.

0% 20% 40% 60% 80% 100%

Percent of all four year olds

Full-day Part-day Not enrolled

839

Total four year olds:

439

936

747

511

Education Success: Kindergarten – 12th Grade


Growth in ADM in Tulsa County public schools has leveled off since 2000

Average Daily Membership (ADM), Tulsa County, 1997-2005

1997 1998 1999 2000 2001 2002 2003 2004 200590,000

95,000

100,000

105,000

110,000

Tulsa Co. 99,957 101,216 103,950 105,693 106,126 105,518 106,112 106,142 106,640

Source: Oklahoma State Department of Education, Data Services; Education Oversight Board, Office of Accountability: Profiles State Reports

Note: Average daily membership is the average number of students enrolled on any given day during the school year.


Public School Average Daily MembershipTulsa County School Districts, 2005

1,142

4,030

14,961

2,102

2,179

9,190

484

75

588

7,934

5,177

2,332

1,261

41,349

13,836

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Keystone

Leonard

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

0 10,000 20,000 30,000 40,000 50,000




Percent growth in area school districts varies greatlyPercent Change in Average Daily Membership

Tulsa County School Districts, 1997-2005


12.6%

30.1%

2.6%

33.3%

2%

3.9%

5.4%

-19.2%7.2%

33.3%

-3%16.8%

12.7%

0.1%

16.3%

6.7%

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Keystone

Leonard

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

Tulsa County

0% 10% 20% 30% 40%-10%-20%-30%-40%



Growth in Hispanic students greatly contributes to changes in enrollmentPercent Change in Enrollment of Students of Hispanic Origin from 1998 to 2005

Tulsa County School Districts


136.4%

84.2%

187.8%

-31.3%40%

108.4%

-44.4%

36.8%

123.3%

164.5%

27.8%

130.4%

141.9%

180.4%

142.5%

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Keystone

Leonard

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

Tulsa County

0% 100% 200% 300%-100%-200%

Hispanic enrollment 2005:

26

5

0

26

422

201

46

53

6,995

1,946

11,390

210

757

11

98

594


Enrollment in full-day kindergarten growingPublic School Full and Half Day Kindergarten Enrollment

Tulsa County School Districts, 2005-06

28

287

10

143

1

55

0

7

37

512

0

0

0

0

796

39

0

1,166

44

176

556

32

0

0

0

373

184

109

3,888

77

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Keystone

Leonard

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

01,0002,0003,0004,000 0 1,000 2,000 3,000 4,000

Half day Full day

Source: Oklahoma State Department of Education, Data Services.


Many 9th graders do not make it to graduationPercent Change in Average Daily Membership

from 9th Grade to 2005 Graduating ClassTulsa County School Districts

-26%

-20.8%

-10.2%

-9.6%

-8.5%

-14.7%

-8.5%

-24.7%

-18.5%

-23.7%

-11.9%

-29%

-43.7%

-15.9%

Tulsa County

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

0% 10%-10%-20%-30%-40%-50%

Source: Oklahoma State Department of Education, Data Services Alternative Education.

Number change in ADM

-22

-29

-109

-12

-22

-62

-14

-111

-115

-30

-29

-1,424

-159

-2,137


Attrition rates high for every race & Hispanic OriginAttrition Rates from 9th Grade to 12th Grade for 2005 Graduating Class,

based on October 1 Enrollment Totals, by Race and Hispanic OriginTulsa County

-22.6%

-46.4%

-31.7%

-44.5%

White Black Native American Hispanic Origin

0%

-10%

-20%

-30%

-40%

-50%

-60%

Source: Oklahoma State Department of Education, Data Services Alternative Education.

(-1,206)

(-676)

(-282)

(-235)

Source: Oklahoma State Department of Education.

THD – Patel/Woodruff 9/05Prepared by the Community Service Council of Greater Tulsa

Average Daily Number & Percent of Students AbsentBy Tulsa County School Districts, 2005

49.2

218.8

774.4

103.9

136.6

456.4

39.7

2

26.1

367.7

308.1

117.4

77.3

3,150.7

693.3

4.3%

5.4%

5.2%

4.9%

6.3%

5%

8.2%

2.6%

4.4%

4.6%

6%

5%

6.1%

7.6%

5%

Berryhill

Bixby

Broken Arrow

Collinsville

Glenpool

Jenks

Keystone

Leonard

Liberty

Owasso

Sand Springs

Skiatook

Sperry

Tulsa

Union

0%2%4%6%8%10%

Percent absent

0 1,000 2,000 3,000 4,000

Number absent

Source: Oklahoma State Department of Education.Note: Average daily absent is the average daily membership minus the average daily attendance.

Source: Oklahoma State Department of Education.

THD – Patel/Woodruff 9/05Prepared by the Community Service Council of Greater Tulsa

Average Daily Percent of Students AbsentBy Grade, 2005

248.5

197.5

557.7

472

400.9

369.8

375.2

377.6

437.9

484.4

505.8

659.5

526.1

440.6

445.8

7.6%

9.7%

6.8%

5.5%

5.1%

4.8%

4.9%

4.7%

5.6%

6%

6.3%

7.7%

7.1%

6.7%

7.3%

Pre-K half day

Pre-K full day

Kindergarten

1st

2nd

3rd

4th

5th

6th

7th

8th

9th

10th

11th

12th

0%2%4%6%8%10%12%

Percent absent

0 200 400 600 800

Number absent

Source: Oklahoma State Department of Education.Note: Average daily absent is the average daily membership minus the average daily attendance.


12th Grade ACT Participation Rates in Relation to 9th Grade Average Daily Membership for Graduating Class of 2005

Tulsa County School Districts, 2005

66

160

735

71

83

514

26

423

235

81

32

1,121

660

63%

56.2%

64.5%

49.7%

55%

70.8%

47.1%

70.7%

48.5%

48.7%

32.1%

34.4%

65.7%

Berryhill

Bixby

BA

Collinsville

Glenpool

Jenks

Liberty

Owasso

S. Springs

Skiatook

Sperry

Tulsa

Union

03006009001,2001,500

Number of seniors taking ACT

0% 20% 40% 60% 80% 100%

Percent taking ACT*

ACT # ACT %

Source: Oklahoma State Department of Education, Data Services.Note: Percent taking ACT is the number of seniors who took the ACT as a percent of 9th grade ADM for the 2005 graduating class.

Education Success: Education Success: Post-Secondary-Higher EducationPost-Secondary-Higher Education


Percent Distribution of Tulsa Area Higher Education Enrollment

Tulsa Area Public Colleges, Fall 2003

Source: Oklahoma State Regents for Higher Education.

63.9%

13.1%9.4% 8%

3.2% 2.4%

TCC RSU OSU-Tulsa NSU-BA OU-Tulsa LU-Tulsa0%

10%

20%

30%

40%

50%

60%

70%


Public College Head Count Enrollment of Tulsa County 2002-03 HS Graduates

By School District


933

162

454

157

343

44 65 31

430

44

241

7413

TPS

Sand

Spring

s BABixb

y

Jenk

s

Collins

ville

Skiato

ok

Sperry

Union

Berry

hill

Owas

so

Glen

pool

Liber

ty0

200

400

600

800

1,000

1,200


Oklahoma Public College Going Rate of Tulsa County 2002-03 HS Graduates

By School District


54.2%51.4%

48.9%

59.3%55.6%

32.8%

52%

39.7%

56.7%

49.4%

60.1%56.9%

35.1%

TPS

Sand

Spring

s BABixb

y

Jenk

s

Collins

ville

Skiato

ok

Sperry

Union

Berry

hill

Owas

so

Glen

pool

Liber

ty0%

10%

20%

30%

40%

50%

60%

70%


Public College Remediation Rates Among HS GraduatesTulsa County and Oklahoma, 1999-2003


37%

32.4%35.1%

38.1%

33.6%

36.5%34.1%

36.5% 36.2%35%

1999 2000 2001 2002 20030%

10%

20%

30%

40%

50%Tulsa County Oklahoma

Human Development: Human Development: Key PointsKey Points

Middle class is disappearingMany households lack adequate

incomeStress of inadequate income and

related conditions is widespread

Human Development: Human Development: Key Points…Key Points…continuedcontinued

Populations of aging and persons with disabilities are large and growing

Health challenges are critical to individual and community well-being

Poor human conditions impact crime and growing incarcerations

Overall progress in human development is tied to educational success

Special TopicsSpecial Topics

Adults and Families at Risk

Adults and Families at Risk…Adults and Families at Risk…

Top Risk Factors for Adults Top Risk Factors for Adults and Familiesand Families

Single-parent households Low educational attainment Illiteracy Childhood abuse and other adverse childhood experiences Substance abuse/addiction Lack of health insurance/poor health care Poor diet & lack of exercise Tobacco use & excessive alcohol use


Types of Families with Own Children Under 18, by RaceWagoner County, 2000


80%

46.5%

74.4%

83.3%80.9%

5.6%

12.3%6.8%

2.8%6%

14.4%

41.2%

18.8%13.9% 13.1%

White Black American Indian Asian Hispanic0%

20%

40%

60%

80%

100%Percent of families within each race

Married Couple Male-headed Female-headed

Note: "Own Children" refers to children (including step and adopted) of the householder in a family.


Types of Families with Own Children Under 18, by RaceBroken Arrow, 2000


81.7%

70.6%75.2%

92.9%

81.5%

4.2% 4.9% 6.1%0.9%

5.5%

14.1%

24.5%18.7%

6.2%13%

White Black American Indian Asian Hispanic0%

20%

40%

60%

80%

100%

120%Percent of families within each race

Married Couple Male-headed Female-headed

Note: "Own Children" refers to children (including step and adopted) of the householder in a family.


Educational Attainment for Persons Age 25 & OlderWagoner County, 2000


18.7%

35.8%

23.7%

6.3%

11.4%

3%

0.7%

0.3%



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

0% 10% 20% 30% 40%



Educational Attainment for Persons Age 25 & OlderBroken Arrow, 2000 & 2005 Estimates

Source: US Census Bureau, Census 2000; US Census Bureau, American Community Survey 2005..



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

0% 5% 10% 15% 20% 25% 30%


2000

2005 (est.)



Some college

Associate degree

Bachelor's degree

Master's degree


Doctorate degree

2000 8.3% 24.4% 27.1% 9.4% 22.7% 6% 1.5% 0.7%

2005 (est.) 7.1% 25.1% 27.1% 9.8% 24.2% 4.6% 1.4% 0.7%


Rates of Adult Level 1 LiteracyBy County

Source: Oklahoma Literacy Resource Office.

15%16%

25%

19%

13% 13%

Tulsa Co. Creek Co. Okmulgee Co. Osage Co. Rogers Co. Wagoner Co.0%

5%

10%

15%

20%

25%

30%Percent of adults at Level 1 Literacy

Level 1 Literacy is the lowest literacy level. Adults at this level display difficulty using certain reading, writing, and computational skills considered necessary for functioning in everyday life.

Oklahoma has a rate of 18%.


Methamphetamine Labs Seized by AuthoritiesOklahoma and City of Tulsa, 1994 - 2005

Source: Oklahoma State Bureau of Narcotics and Dangerous Drugs Website, Tulsa Police Department Website.

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 20050

200

400

600

800

1,000

1,200

1,400

Number of labs discovered

Tulsa

Oklahoma

Tulsa 0 0 6 13 47 132 150 124 178 214 131 51

Oklahoma 10 34 125 241 275 781 946 1,193 1,254 1,235 812 274


Health Insurance Status, by AgeOklahoma, 2004-2005

Source: Kaiser Family Foundation.

1,648,530 (47.9%)

137,050 (4.0%)444,630 (12.9%)

553,150 (16.1%)

659,370 (19.2%)

424,880 (47.2%)

36,520 (4.1%)

283,680 (31.5%)

23,450 (2.6%)

130,780 (14.5%)

1,222,600 (59.3%)

100,090 (4.9%)123,040 (6.0%)

90,420 (4.4%)

524,320 (25.4%)

1,050 (0.2%)440 (0.1%)

37,910 (7.8%)

439,280 (91.0%)

4,270 (0.9%)

Employer Individual Medicaid Medicare/Other Public Uninsured

Total Population Under Age 19

Age 19-64 Age 65 & over


Oklahoma's Rankings in Risk Factors Associated with Poor Health, 1990 and 2006



#44

#14

#23

#31

#24

#21

#8

#32

#46

#46

#33

#38

#24

#34

#41

#35

#22

#43

#40

#30

#44

Personal Behaviors

Prevalence of smoking

Motor vehicle deaths

Prevalence of obesity

High school graduation

Community Environment

Violent crime

Children in poverty

Occupational fatalities

Infectious disease

Health Policies

Lack of health insurance

Adequacy of prenatal care

Per capita public health spending

Immunization coverage

1990 2006


Risk Factors Increase Likelihood of Risk Factors Increase Likelihood of Adverse Health and Social OutcomesAdverse Health and Social Outcomes

~ Adverse Outcomes for Adults and Families:

Lower earnings/lack of economic self-sufficiency

Domestic violence Crime/gang violence/incarceration Disease or disability Suicide Premature death


Real Hourly Wage by Educational AttainmentUnited States, 1973-2005


1973

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1997

1999

2001

2003

2005

$0

$5

$10

$15

$20

$25

$30

$35


Less than high school High school College degree Advanced degree

Adult Literacy Levels and IncomeAdult Literacy Levels and Income

Over 20% of American adults read at or below a 5th grade level - far below the level needed to earn a living wage.

43% of people with the lowest literacy skills live in poverty.

Workers who lack a high school diploma earned an average hourly wage of $9.50 in 2001, compared to $12.81 for high school graduates and $22.58 for those with a college degree.

Source: Oklahoma Literacy Resource Office; Economic Policy Institute website.

Impact of Adult Literacy & Impact of Adult Literacy & Education Levels on ChildrenEducation Levels on Children

As the educational level of adults improves, so does their children's success in school; helping low-literate adults improve their basic skills has a direct and measurable impact on both the education and quality of life of their children.

Children of adults who participate in literacy programs improve their grades and test scores, improve their reading skills and are less likely to drop out.

Children's literacy levels are strongly linked to educational level of their parents, especially their mothers.

Children of parents who are unemployed and have not completed high school are five times more likely to drop out than children of employed parents.

Source: Oklahoma Literacy Resource Office.


Domestic Violence Cases Reported toLaw Enforcement Agencies

Oklahoma, 1994 - 2004

Source: Oklahoma State Bureau of Investigation 2004 Uniform Crime Report.

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 20040

5,000

10,000

15,000

20,000

25,000

30,000

Cases 18,153 18,621 21,683 23,087 21,435 21,211 22,065 23,687 25,157 23,773 24,542


Domestic Violence Cases Reported to Law Enforcement Agencies, by Offense

Oklahoma, 2004

Source: Oklahoma State Bureau of Investigation 2004 Uniform Crime Report.

54 541

4,764

19,183

Murder Sex crimes Assaults Assault & Battery0

5,000

10,000

15,000

20,000

25,000A total of 24,542 domestic violence cases were reported to Oklahoma law enforcement agencies in 2004.

0

2,500

5,000

7,500

10,000

12,500

15,000

17,500

20,000

22,500

25,000

'50

'52

'54

'56

'58

'60

'62

'64

'66

'68

'70

'72

'74

'76

'78

'80

'82

'84

'86

'88

'90

'92

'94

'96

'98

'00

'02

'04

Oklahoma’s prison population was relatively stable until 1980 when laws passed to curb illegal drug use

came into effectOklahoma’s Prison Population

1950-2005

Source: Oklahoma State Department of Corrections, Prepared by the Community Service Council of Greater Tulsa for the Metropolitan Human Services Commission in Tulsa.

1980

Note: Number of inmates in Oklahoma prisons, data as of June 30 of each year


Source: Oklahoma Department of Corrections.

Department of Corrections Receptions from Tulsa County, FY 2005

Percent Distribution by Race

51.8%

32.5%

7.6% 7.6%

0.4% 0.1%

White Black Hispanic NativeAmerican

Other Unknown0%

10%

20%

30%

40%

50%

60%Total receptions from Tulsa

County = 1,807. Drug related convictions account

for 35% of these receptions.


Oklahoma's Rankings in Outcomes Associated with Poor Health, 1990 and 2006



#31

#27

#31

#24

#27

#44

#41

#44

#43

#50

#44

#43

Overall ranking

Poor mental health days

Poor physical health days

Infant mortality

Cardiovascular deaths

Cancer deaths

Premature death

1990 2006



Disability Prevalence by Age and Level of DisabilityOklahoma, 1997

Source: U.S. Bureau of the Census, 2001, Americans with Disabilities: 1997 (Aug.-Nov. 1997 data from Survey of Income and Program Participation).

2%

3.4%

11.2%

10.7%

13.4%

22.6%

35.7%

49%

73.6%

4.8%

5.3%

8.1%

13.9%

24.2%

31.8%

57.6%

0 to 2

3 to 5

6 to 14

15-24

25-44

45-54

55-64

65-79

80+

Age Group

0% 20% 40% 60% 80% 100%

Percent with Specified Level of Disability

Level of disabilityAny Severe


Disability Prevalence by AgeNon-institutionalized Population

Oklahoma & Broken Arrow, 2005 Estimates


19%

7%

16.2%

47%

10.5% 9.5%

5 & older 5-15 16-64 65 & older0%

10%

20%

30%

40%

50%

Percent of population

Oklahoma % Broken Arrow %

Oklahoma # 604,245 35,300 361,145 207,800

Broken Arrow# 8,197 NA 5,335 NA

Note: Persons living in institutions or other groups quarters are not included in these estimates.

NA NA


Persons with Disabilities by Age and TypeCivilian Noninstitutionalized Population, Wagoner County, 2000


16.1%

6.4%

62.4%

15.1%

1.0%2.7%

21.7%10.9%

27.3%

36.4%

9.3%

12.5%3.3%

0.2%3.0%

27.7%

44.0%

9.0%

24.9%4.2%0.4%

8.3%

53.3%

Sensory Physical Mental Self-care Go-outside-home Employment 2 or more disabilities

Age 5-15(N=689)

Age 16-20(N=626)

Age 21-64(N=7,046)

Age 65+(N=2,745)


Persons with Disabilities by Age and TypeCivilian Noninstitutionalized Population, Broken Arrow, 2000

Source: U.S. Census Bureau, Census 2000; US Census Bureau, American Community Survey 2005..

9.2%

3.2%

65.8%

0.9%

20.8%

6.1%

2.1%

18.4%8.0%

29.6%

35.8%

9.8%

15.2%3.8%

0.1%2.9%

26.2%

42.0%

8.8%

27.0%2.0%

8.6%

53.6%

Sensory Physical Mental Self-care Go-outside-home Employment 2 or more disabilities

Age 5-15(N=865)

Age 16-20(N=625)

Age 21-64(N=5,925)

Age 65+(N=2,041)


Labor Force Participation of People with Work DisabilitiesOklahoma, 1999

Source: U.S. Census Bureau, March 1999 Current Population Survey.

9.7%90.3%

69.5%

2.9%

27.6%

An estimated 10% of Oklahoma's population age 16-64 have a work disability.

Of those with a work disability, 31% are in labor

force and 28% are employed.

work disability

30.5% in labor force

Note: A work disability is one which prevents a person from working or limits a person in terms of kind or amount of work he or she can do.

employed

not in labor force

no work disability

unemployed2.9%


Employment Rates by Disability TypeCivilian Noninstitutionalized Population Age 21 to 64, Wagoner County, 2000


58.1%

57%

34.2%

31.6%

16.5%

45.7%

62.4%

Any Disability

Sensory

Physical

Mental

Self-care

Go-outside-home

Employment

0% 20% 40% 60% 80%

Percent Employed


Employment Rates by Disability TypeCivilian Noninstitutionalized Population Age 21 to 64, Broken Arrow, 2000


67.8%

64.3%

54.5%

39.6%

31.8%

51.9%

69.5%

Any disability

Sensory

Physical

Mental

Self-care

Go-outside-home

Employment

0% 10% 20% 30% 40% 50% 60% 70% 80%

Percent Employed


Poverty Rates by Disability Status and AgeCivilian Noninstitutionalized Population, Wagoner County, 1999


18.6%

12.6% 12.8%11.1%10.4% 9.8%

6%7.5%

Age 5-15 Age 16-20 Age 21-64 Age 65+0%

5%

10%

15%

20%

25%Percent of population living below poverty

Persons with a disability Persons with no disability


Poverty Rates by Disability Status and AgeCivilian Noninstitutionalized Population, Broken Arrow, 1999


4.4%

14.9%

5.8%

9.1%

5.5% 5.5%

3.1%

5.5%

Age 5-15 Age 16-20 Age 21-64 Age 65+0%

5%

10%

15%

20%

25%Percent of population living below poverty

Persons with a disability Persons with no disability


Suicide Rates Among Persons of All AgesOklahoma, 1930 - 2005

Source: Oklahoma State Department of Health, Vital Statistics; National Center for Health Statistics, National Vital Statistics Report.

1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2004 20050

2

4

6

8

10

12

14

16Rate per 100,000 persons

Rate 9.3 10.1 8 6.4 8.3 9 9.8 9.5 10.7 15.2 13.6 14.8 13.3 14.6 14.7 14.2 14.3


Suicide Rates Among Persons of All AgesBy County, 3-Year Averages, 1991-93, 1996-98, 2001-03, 2003-05

Source: Oklahoma State Department of Health, Vital Statistics .

Tulsa Co. Creek Co. Okmulgee Co. Osage Co. Rogers Co. Wagoner Co.0

5

10

15

20


1991-93 1996-98 2001-03 2003-05

1991-93 14.6 15 11.7 22 17.9 15.5

1996-98 14.6 10.2 8.5 10.7 10.3 12.2

2001-03 15.2 18 15.1 13.3 9.7 6

2003-05 16 18 17.6 14.7 9.7 10.6


Age-Adjusted Death Rates for the Leading Causes of DeathUnited States, 2004, Oklahoma and Tulsa County, 2005

Source: National Center for Health Statistics, Health E-Stats; Oklahoma State Department of Health, Vital Statistics.

Heart disease

Cancer

Stroke

Chronic lowerrespiratory diseases

Accidents

Diabetes mettitus

Alzheimer's disease

Influenza & pneumonia

0 50 100 150 200 250 300

Rate per 100,000 Persons

U.S.

Oklahoma

Tulsa County


Mortality Rates for the Four Leading Causes of DeathOklahoma, 1930 - 2005

Source: Oklahoma State Department of Health, Vital Statistics.

1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 20050

50

100

150

200

250

300

350


Heart Disease

Cancer

Stroke

Chronic LowerRespiratory Disease

Best Practices…Best Practices…

A Research Based Approach

Doing What WorksDoing What Works

Best PracticesBest PracticesStrategiesStrategies

Outcome performance measures Community coalitions

– Collaborative, public-private partnerships– Consumer/client investments

Successful outreach and recruitment Case management/Care coordination Strong social marketing Risk reduction education Access to services and care

– Child care– Transportation– Translation


Best Practices

Source: Institute of Medicine, Reducing Risk for Mental Disorders, 1994.

Continuum of Intervention


Best PracticesStrategic Prevention Framework

Source: Substance Abuse and Mental Health Services Administration (SAMHSA.).

Organize community to profile needs, including community readiness

Mobilize community and build capacity to address

needs

Develop the prevention plan (activities,

programs & strategies

Implement prevention plan

Evaluate for results and sustainability

1: Assessment

2: Capacity

3: Planning4: Implementation

5: Evaluation

Sustainability & cultural competence


Best PracticesRisk and Protective Factor Framework

Source: Hawkins, Catalano, Miller, University of Washington Social Marketing Research Group, 1992, “Communities that Care” model of prevention.

Risk FactorsCharacteristics that

increase the likelihood of

negative outcomes

Protective FactorsCharacteristics that protect or provide a

buffer to moderate the influence of negative characteristics, and reduce potential of negative outcomes

Domains~Community

~Family~School

~Individual/Peer

How Well do You Know Your How Well do You Know Your Community?Community?

1. How did Wagoner County’s population change between 2000 & 2005?a. down 8% b. no change c. up 12%

2. What percentage of Broken Arrow’s 65+ population live alone?a. 10% b. 22% c. 36%

3. What percentage of Wagoner County’s elementary school children participate in the school free & reduced lunch program?

a. 28% b. 41% c. 55%

4. What percentage of Oklahoma’s working age population have no health insurance?

a. 13% b. 25% c. 48%

5. What percentage of Broken Arrow’s population with disabilities are employed?

a. 68% b.46% c. 29%

TAUW Community Investments TAUW Community Investments Strategy Mission StatementStrategy Mission Statement

To take a leadership role in community building by investing TAUW's

community resources in the most efficient and effective delivery systems

for health and human services.

Community Profile 2007Community Profile 2007Wagoner County and Broken ArrowWagoner County and Broken Arrow

…is available on our website:

www.csctulsa.org


January, 2007

Documents

Community Profile 2007 Wagoner County and Broken Arrow Prepared by the Community Service Council of Greater Tulsa January, 2007