Thrive2027 Data Dashboard - United Way of Greater Portland · Freeport 128 12.4 Harrison 117 46.3 Cumberland 108 11.7 Raymond 92 17 Yarmouth 83 9.2 Indicator 1.4. 6% of children under

Version Date: November 26, 2018

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Thrive2027 Data Dashboard

The following pages highlight historical, baseline, and current data compiled from publicly available data sources that are associated with the Thrive2027 Goals Framework. The data provides additional background and does not represent a position or preference. The information represents a point-in-time reflected by the draft version, and will be updated as new information becomes available. Compiled by: Mary Madden, Ph.D, Director of Evaluation, UWGP


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Snapshot of Progress Goal 1: By 2027, every child in Cumberland County has quality early learning experiences beginning at birth.`

Goal 2: By 2027, individuals and families in Cumberland County have the education, employment opportunities, and resources to achieve financial stability.

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Indicator 2027 Target

Baseline 2015-16

Current 2016-17

Change

3rd Grade Reading Proficiency

All students 70% 58.6% 57.9% -.7%

Disaggregated Data

Males 53.4% 52.4% -1% Females 60.2% 63.6% +3.4% Economically disadvantaged students 35.4% 36.3% +.9%


Baseline 2014

Current 2017

Change

Percent of Households Spending Less than 30% of Income on Housing

All 70% 65% 70% +5% Disaggregated Data

Owners without a mortgage 80% 71% -9% Owners with a mortgage 67% 86% +19% Renters 48% 53% +5% < $20,000 household income 15% 15% 0% $20,000 - $34,999 household income 27% 29% +2% $35,000 - $49,999 household income 56% 50% -6% $50,000 - $74,999 household income 75% 77% +2% ≥ $75,000 household income 96% 95% -1%

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Goal 3: By 2027, children, adults and communities in Cumberland County have the resources and opportunities to achieve optimal health status.

Note: Years of Potential Life Lost data is not disaggregate by cause of death. Therefore, we track several leading causes of death to identify progress. An update for 2014-2016 is not yet available for this indicator.


Baseline 2014-2016

2014-2016

Change

Years of Potential Life Lost

All 4569 5400 5400 +300 yrs

Leading Causes of Death

Drug-induced deaths per 100,000 residents

22.9 -2.0

Alcohol-induced deaths per 100,000 residents

13.3 -1.0

Suicide deaths per 100,000 residents 12.3 -4.3


Baseline 2015

Current 2017

Change

Annual Count Drug-Induced Deaths

Number of deaths 86 109 +23


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Thrive2027 Dashboard Information GOAL 1: By 2027, every child in Cumberland County has quality early learning experiences beginning at birth. Headline Indicator: 70% of children read proficiently at the end of third grade. Benchmark - 59% (2015-16)1

Third Grade Reading Proficiency – Baseline and Target

59%

70%

35%

40%

45%

50%

55%

60%

65%

70%

75%

80%

85%

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Academic Year


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Third Grade Reading Proficiency: Target and Progress2

Note: Blue line is actual scores Orange dashes are targeted scores

Disaggregated Data

Third Grade Reading Proficiency by Family’s Economic Status

35% 36%

68%

61%

0%

10%

20%

30%

40%

50%

60%

70%

2015-16 2016-17

Pe

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Academic Year

EconomicallyDisadvantaged

NonEconomicallyDisadvantaged


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Greater Portland: Third Grade Reading Proficiency Gender

Greater Portland: English Language Learners (ELL): The percent of ELL third graders that read proficiently is suppressed do to low numbers in grade three at each school. Why is it important? Reading proficiently by the end of third grade is an important marker for academic success. Children who do not read proficiently by the end of third grade are four times more likely to not graduate from high school compared to children who read at grade level by the end of third grade. Indicator Information The Maine Educational Assessments measure students’ reading proficiency. A new version of the test was administered in the 2015-16 school year; therefore, long-term trends are not available. The data shows the percent of third grade students in the Greater Portland area that met or exceeded State of Maine standards. Schools in the Greater Portland area included in the calculation includes all public schools with third grade in Cape Elizabeth, Falmouth, Gorham, RSU 5, RSU 6, RSU 14, RSU 15, RSU 51, RSU 61, Scarborough, South Portland, Westbrook, and Yarmouth.

53 52

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2015-16 2016-17

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Males

Females


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Result Statement 1: All children and families have their basic needs met so that they are safe and healthy. Indicator 1.1. 18.7% of children are food insecure (cv -10,660).3

(Baseline: 20.4%, 2015) Disaggregated is not available. Indictor 1.2. 38.6% of children under 6 live below 300% of the Federal Poverty Level (cv-6,346).4 (Baseline: 43.4% 2015)

Disaggregated Data

Children under Age 6 Living Below 300% of the Federal Poverty Level by Town 2012-2016.

Town/City Total # under 6 # <185% % <185% # 300% % < 300%

Bridgton 623 385 62% 526 84%

Freeport 593 85 14% 161 27%

Gorham 1179 197 17% 350 30%

New Gloucester 384 41 11% 145 38%

Portland 3801 1801 62% 2357 62%

Scarborough 985 67 7% 198 20%

South Portland 1187 410 35% 650 55%

Standish 329 52 16% 220 67%

Westbrook 1301 602 46% 827 64%

Windham 1193 161 13% 533 45%


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Indicator 1.3. 20.5% of children (N = 1810), ages 0-36 months, have been screened for lead poisoning (Baseline: 17.5%, 2015).5

Disaggregated Data

Disaggregated data is not available other than for town. 2012-2016 Lead Screening for Children Under 36 Months

2012-2016

Town/City Number Screened

% Screened

Portland 2938 25.9

South Portland 819 19.5

Westbrook 774 23.1

Windham 499 17.6

Gorham 322 14

Scarborough 267 12

Standish 234 17.4

Gray 227 16.3

Bridgton 200 33.3

Falmouth 165 13.4

New Gloucester 163 18.1

Casco 158 27.9

Naples 156 27.7

Cape Elizabeth 145 17.3

Freeport 128 12.4

Harrison 117 46.3

Cumberland 108 11.7

Raymond 92 17

Yarmouth 83 9.2

Indicator 1.4. 6% of children under age six are uninsured (cv-1017).6 (Baseline 6%, 2015) Indicator 1.5. 294 substantiated cases of abuse and neglect (total population of households with children under 18 years old - 30,691).7 Disaggregated data is not available.


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Result Statement 2: All children and families have quality early learning experiences to promote healthy development and school readiness. Indicator 1.6. X% of children kindergarten ready.8 Data development – The Goal 2 Cabinet will work with school administrators to determine how to best obtain this data. Data may be available by gender and economically advantaged and disadvantaged students. Indicator 1.7. 16% of early childhood care settings are accredited at a level three or four (cv-51 of 321).9

Disaggregated Data

Town/City Non-QRIS Step 1 Step 2 Step 3 Step 4

Bridgton 3 1 1

Cape Elizabeth 5 2 1 1 Casco 2 3 1 Cherbeague Island 1 Cumberland 9 1 Falmouth 9 2 2

Freeport 9 2 1 Gorham 16 8 2 3 3

Gray 7 2 1 Harrison 5 Naples 4 2 1 North Yarmouth 2 1 0 2 1

Peaks Island 1 Portland 21 14 2 3 16

Pownal 4 2 Scarborough 9 4 1 3 1

Sebago 1 1

Sebago Lake 1 4 1 South Casco 1 South Freeport 1 1 South Portland 21 8 2 2 2

Standish 5 1 1 Steep Falls 1 West Baldwin 1 1 Westbrook 13 16 1 1

Windham 10 7 4 2 3

Yarmouth 7 2 Totals 167 83 18 20 31


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Result Statement 3: All children and families have literacy-promoting experiences so that children are readers. Indicator 1.8. X% of children reading proficiently by the end of second grade.10 Data development – The Goal 2 Cabinet will work with school administrators to determine how to best obtain this data. Data should be available by gender and economically advantaged and disadvantaged students.


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GOAL 2: By 2027, individuals and families in Cumberland County have the education, employment opportunities, and resources1 to achieve financial stability. Headline Indicator: 70% of households pay less than 30% of their income on housing. Benchmark: 65% of households pay less than 30% of their income on housing.11 Trend and Target: Households in Cumberland County Paying Less then 30% of Income on Housing

1 “Resources” is defined as access to affordable goods and services, including housing and healthcare.

62%

65%

70%

56%

58%

60%

62%

64%

66%

68%

70%

72%

74%

20

05

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Historical Reduced Housing Cost-Burden Goal


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Cumberland County Households Paying Less than 30% of Income on Housing: Progress and Target

Note: Blue is baseline and progress Orange is target

Disaggregated Data Cumberland County Residents Paying Less than 30% on Housing by Homeownership Status

65%

69%

68%

70%68%

70%

56%

58%

60%

62%

64%

66%

68%

70%

72%

74%

76%

Pe

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nt

Pa

yin

g 3

0%

or

Le

ss

on

Ho

us

ing

80%

67%

48%

65%

74%

81%

55%

69%74%

85%

51%

68%71%

86%

53%

70%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Own withoutmortgage

Own withmortgage

Rent All

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Homeowner Status

2014

2015

2016

2017


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Cumberland County Homeowners Paying Less than 30% of Income on Housing by Income Bracket12

Cumberland County Renters Paying Less than 30% of Income on Housing by Income Bracket13

<$20,000$20,000 -$34,999

$35,000 -$49,000

$50,000 -$74,999

$75,000 ormore

2014 15% 33% 55% 64% 93%

2015 10% 43% 61% 69% 94%

2016 8% 48% 52% 74% 95%

2017 12% 38% 53% 74% 93%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Pe

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<$20,000$20,000 -$34,999

$35,000 -$49,999

$50,000 -$74,999

$75,000 ormore

2014 15% 21% 57% 86% 99%

2015 19% 26% 57% 89% 97%

2016 16% 28% 44% 79% 97%

2017 18% 20% 47% 79% 96%

0%

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100%

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Cumberland County Households Paying Less than 30% of Income on Housing by Age Bracket14

What does this Indicator tell us? The data used to calculate the percent of households paying less than 30% of their gross income for housing are derived from the United State Census data Table DP04 from the census data. The total percent represents households with a mortgage, without a mortgage, and renters. Housing costs include mortgage or rent, home equity loans, real estate taxes, homeowner’ insurance, condominium fees, mobile home costs and utilities including electricity, gas, heating fuel, water, sewer and other utilities. Why is this important? Individuals and families who pay more than 30% of their income on housing are considered cost burdened and may have difficulty affording other necessities such as food, clothing, transportation and medical care.

2014 2015 2016 2017

25-34 72% 78% 75% 89%

35-64 75% 77% 81% 79%

65+ 65% 70% 69% 65%

0%

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30%

40%

50%

60%

70%

80%

90%

100%

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Result Statement 1: All individuals graduate from high school or complete a high school credential. Indicator 2.1. 91.6% of students graduate within four years of beginning high school (cv-2,629).15

91%90%

80%

85%

90%

95%

100%

2015-16 2016-17

4-Y

EAR

GR

AD

UA

TIO

N R

ATE

ACADEMIC YEAR


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Disaggregated Data

Great Portland Area Schools: Percent Students Graduating within Four Years

Indicator 2.2. 95.1% of adults have a high school diploma or equivalency (cv-199,638).16 (Baseline - 95.9%, N – 199,363)

Disaggregated Data Cumberland County 2016: Residents 25 or Over with High School Diploma

Schools 2015-16 2016-17

Cape Elizabeth High School 95% 98%

Falmouth High School 98% 98%

Gorham High School 93% 97%

Portland High Schools 84% 85%

Freeport High School 94% 90%

Bonny Eagle High School 82% 83%

Windham High School 93% 89%

Gray-New Gloucester High School 82% 89%

Greely High School 98% 98%

Lake Region High School 86% 72%

Scarborough High School 97% 95%

South Portland High School 94% 91%

Westbrook High School 84% 78%

Yarmouth High School 96% 98%

Greater Portland HS Average 91% 90%

Place of birth Percent

Native born 96

Foreign born 88

Gender Percent

Males 95

Females 95

Race Percent

White alone 95.6

Black alone 91.0

Asian alone 86.1

Two or more races 85.1

Age Bracket Percent

25-34 97.6

35-44 96.1

45-64 95.1

65 and over 92.6


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Indicator 2.3. 70% of students graduate proficient in English Language Arts (cv-).17 (Baseline: 69%, 2015-2016) Greater Portland Area High Schools: Students Proficient in English Language Arts

62%58% 59% 59%

69% 70%

0%

10%

20%

30%

40%

50%

60%

70%

80%

2010-11 2011-12 2012-13 2013-14 2015-16 2016-17

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Academic Year


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Disaggregated Data

Greater Portland Area: Percent of High School Students Proficient in English Language Arts By School District

School 2015-16 2016-17

Cape Elizabeth Public Schools 88.3 87.5

Falmouth Public Schools 92.6 93

Gorham Public Schools 74.2 73.1

Portland Public Schools 62.1 57.1

RSU 05 (Freeport) 60.8 63.6

RSU 06/MSAD 06 (Bonny Eagle) 55.7 65.2

RSU 14 (Windham) 64.5 68.8

RSU 15/MSAD 15 (Gray-New Gloucester)

63.8 62

RSU 51/MSAD 51 (Greely) 88.6 83.6

RSU 61/MSAD 61 (Lake Region) 47.6 52.5

Scarborough Public Schools 79 76.7

South Portland Public Schools 60.8 59.7

Westbrook Public Schools 45.5 44

Yarmouth Schools 93 86.2

Totals 68.8 69.5


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Greater Portland Area: Percent of High School Students Proficient in English Language Arts By Student Characteristic

69%

58%

68%72%

43%

69%

63%

72% 72%

40%

0%

10%

20%

30%

40%

50%

60%

70%

80%

All Students Males Females Not ED* ED*

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2015-16 2016-17


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Indicator 2.4. 46% of students graduate proficient in mathematics (cv-2,612).18 Trend: Greater Portland Percent of High School Students Proficient in Mathematics

Disaggregated Data Great Portland Area High Schools: Percent of High School Students Proficient in Mathematics

School Name 2015-16 2016-17

Cape Elizabeth High School 76.6 71.4

Falmouth High School 79.1 75

Gorham Public Schools 53.7 43.2

Portland Public Schools 39.9 30.1

Freeport High School 39.2 38.3

Bonny Eagle High School 28.6 36.1

Windham High School 32.5 35.8

Gray New Gloucester High School

37.7 38.8

Greely High School 69.8 68.5

Lake Region High School 17.1 23.8

Scarborough High School 61.7 58.5

South Portland High School 35.7 32.9

Westbrook High School 23.2 26.7

Yarmouth High School 72.9 70.7

Average 47.7 46.4

59.857.0

58.5 59.2 58.3

47.746.0

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80

2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17

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Academic Year


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Greater Portland Area: Percent of High School Students Proficient in Mathematics by School District

ED – Economically Disadvantaged Result Statement 2: All individuals complete a post-secondary degree, certification and/or training to meet their career needs. Indicator 2.5. 87.7% of students enroll in post-secondary education within one year of high school graduation and return for a second year (cv-2,749).19

48% 49%47%

22%

47%45% 46%

44%

18%

45%

0%

10%

20%

30%

40%

50%

60%

All Males Female ED* Non-ED

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2015-16 2016-17


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Disaggregated Data College Enrollment for Greater Portland Area 2014 High School Graduates by Institution Type.

College Enrollment for Greater Portland Area 2012 and 2013 High School Graduates by Student Group and Time of Enrollment.

Male FemaleBlack/A

AWhite ED

Non-ED

ELLNon-ELL

Enrolled within 1 year 68% 78% 75% 72% 65% 75% 71% 72%

Enrolled within 2 years 75% 81% 71% 78% 61% 81% 76% 76%

0%

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90%

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29%

14%

57%

Not Enrolled

Enrolled 2-yr Institution

Enrolled 4-yr Institution


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Greater Portland Area 2012 High School Graduates that Returned for Their Second Year of College by Student Group.

*ELL – English Language Learner **ED – Economically Disadvantaged

85%

89%

84%

86%

80%

89%

84%

85%

74% 76% 78% 80% 82% 84% 86% 88% 90%

Male

Female

Black/AA

White

ED

Non-ED

ELL

Non-ELL

Percent that Persist

Stu

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Indicator 2.6. 46.7% of students complete post-secondary education within six years (cv-2,803). Geographical data is available by school and will be added. Greater Portland Area 2008 High School Graduates Who Graduate From College within Six Years of Enrolling by Student Group.

42%

52%

19%

47%

22%

47%

21%

45%

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

Male

Female

Black/AA

White

ED

Non-ED

ELL

Non-ELL

Percent Graduating

Stu

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Gro

up


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Result Statement 3: All individuals and families have the earnings/income and assets to be financially stable. Indicator 2.7. 27.2% of households fall below 300% of the Federal Poverty Level (cv-18,674).20

(100% of the Federal Poverty for a family of 4 is $24,000; 300% - $72,900)

Disaggregated Data Cumberland County Trend: Families Living Below 300% of the Federal Poverty Level

Federal Poverty Level 2015 2016

Under 50% 2,153 849

50 to 74% 1,313 994

75 to 99% 1,749 2172

100 to 124% 1,316 1710

125 to 149% 1,728 1167

150 to 174% 1,355 1631

175 to 184% 363 661

185 to 199% 1,580 934

200 to 299% 9,513 8556

Total Number 21,070 18674

Percent 29.7% 27.2%

2016 Cumberland County: Individuals Living under 300% of the Federal Poverty Level 21

Age Bracket Percent Under 300% of

FPL

< 6 years 39%

6-11 years 43%

12-17 years 35%

18-24 years 28%

25-34 years 48%

35-44 years 32%

45-54 years 27%

55-64 years 32%

65-74 years 38%

75 years or older 45%


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2012 -2016 Cumberland County: Families Living under 300% of the Federal Poverty Level by Town21 Town/City Percent Under 300% of

FPL

Cumberland County 32%

Baldwin 46%

Bridgton 49%

Cape Elizabeth 15%

Falmouth 16%

Freeport 29%

Gorham 24%

Gray 23%

Portland 41%

Scarborough 24%

Standish 34%

South Portland 40%

Westbrook 42%

Windham 34%

Yarmouth 17%

In 2016, 14% (N = 9977) of families lived below 185% of the Federal Poverty Level.22 The following chart provides information on the percent of each family type that make up the 9,977 families. 2016 Cumberland County: Families Living under 185% of the Federal Poverty Level by Family Type

Family Type Percent Under 185% of FPL

Married Couple Households 26%

Single Male Headed Household 6%

Single Female Headed Household 34%

Indicator 2.8. 30.3% of households without sufficient liquid assets* to cover three months of basic living expenses (cv-35,492 households) 23

Baseline 32.3%) Cumberland County: Liquid Assets Poverty Rate*

2016 2017

All households 32.3 30.30%

By Race n/a

White n/a 28.7

HH of Color n/a 60.4

Black n/a 74.5

Asian n/a 45.8

Latino n/a 55.5

Native n/a 60


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Result Statement 4: All individuals and families can afford and access goods and services. Indicator 2.9. 52% of renter households are unable to afford a two bedroom rental (cv-).24

(Baseline 57.4%) Disaggregated data is not available except by town. Renter Households Unable to Afford a Two-bedroom Rental

61% 61%

57%

52%

35%

40%

45%

50%

55%

60%

65%

70%

75%

2014 2015 2016 2017

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Indicator 2.10. 14.5% of income spent on transportation25 Disaggregated is not available except for town. Geographical data is available through Center for Neighborhood Technology. A chart of transportation costs based on town/city will be developed using this source.


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GOAL 3: By 2027, children, adults and communities in Cumberland County have the resources and opportunities to achieve optimal health status. Headline Indicator: 4,590 Years of Potential Life Lost per 100,000 people. Benchmark: 5,400 Years of Potential Life Lost per 100,000 people.26 Disaggregated data is available for age brackets and gender. Geographical data not available below the County level for indicators. Cumberland County Years of Potential Life Lost per 100,000 Residents: Historical Trend and Forecast:

5923

5100

4569

3000

3500

4000

4500

5000

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6500

7000

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Cumberland County Years of Potential Life Lost per 100,000 Residents: Progress and Target

Note: Blue is baseline and progress Orange is target Result 1: Individuals ages birth to 14 years have their behavioral and physical health needs met to reduce deaths by suicide and substance use disorders.

Disaggregated Data

Indicator 3.1. Middle School Students who report either depression or suicide ideation during their lifetime: Baseline (2017) 13.1% (cv = 891).27 Cumberland County Middle School Lifetime Depression or Suicide Ideation by Gender

Gender Percent

Females 14.6%

Males 11.8%

Indicator 3.2. 294 substantiated cases of abuse and neglect (total population of households with children under 18 years old -30,691).28 Disaggregated data is not available.

5400 5400

4860

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Actual Target


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Result 2: Individuals ages 15 to 24 years have their behavioral and physical health needs met to reduce deaths by suicide and substance use disorders. Indicator 3.3: Cumberland County: High school students who have experienced 3+ Adverse Childhood Experiences – 20%.29 Result 3: Individuals ages 25 to 44 years have their behavioral and physical health needs met to reduce deaths by suicide and substance use disorders. Result 4: Individuals ages 45+ years have their behavioral and physical health needs met to reduce deaths by suicide and substance use disorders. Indicator 3.4. 22.9 drug-induced deaths/100,000 population (2014-16) - 185 over 3 years.30 Cumberland County Trend: Rate of Substance-Induced Deaths

13

15.6

17.8

21.922.9

8.2 7.99.5

12.5 12.3

0

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25

2010-11 2011-13 2012-14 2013-15 2014-16

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Drug induced Alcohol induced


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Cumberland County Trend: Numbers of Substance-Induced Deaths

Disaggregated Data

Cumberland County Trend: Number of Drug-Induced Deaths by Age Bracket

*Deaths fewer than ten for an age group in any one three-year period are suppressed and will show as zero on the chart.

97

116

137 134

185

61 5972

95107

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2010-2012 2011-13 2012-14 2013-15 2014-16

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Drug induced Alcohol induced

2010-2012 2011-13 2012-14 2013-15 2014-16

15-24 0 0 10 10 10

25-34 20 22 29 39 55

35-44 26 28 28 39 41

45-54 21 26 32 42 46

55-64 19 27 27 28 28

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Cumberland County Trend: Rate of Drug-Induced Deaths by Gender

Cumberland County Trend: Number of Drug-Induced Deaths by Gender

17.519.6

22.6

27

33.9 32.6

11.1 10.613.2 13.7

16.213.5

0

10

20

30

40

50

2009-11 2010-12 2011-13 2012-14 2013-15 2014-16Ra

te p

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100

,00

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3-Year Periods

Male Female

6272

87

110

130

3544 46

55 55

0

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2010-12 2011-13 2012-14 2013-15 2014-16

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Male Female


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Trend: Annual Count of Drug-Induced Deaths for Maine and Cumberland County*31

*Most drug-induced deaths are caused by more than one drug or a combination of drugs and alcohol. In the majority of cases, at least one opioid was identified as a cause of death.

Indicator 3.5. 12.3 suicide deaths/100,000 population (2014-16) – 99 over 3 years.32 Cumberland County Trend: Crude Rate for Suicide Deaths

Orange – Historical data Blue – Baseline and current

39 2949 46 43

86 80109

167 155 163176

208

272

378418

0

50

100

150

200

250

300

350

400

450

2010 2011 2012 2013 2014 2015 2016 2017

Nu

mb

er

of

De

ath

s

Year

Cumberland County State of Maine

13.9

15.6

14.514.2

12.3

10

11

12

13

14

15

16

17

18

19

20

2010-12 2011-13 2012-14 2013-15 2014-16

Ra

te p

er

100

,00

0 R

esid

en

ts

Three-Year Period


35

Cumberland County Trend: Number of Suicide Deaths

Orange – Historical data Blue – Baseline and current

Disaggregated Data

Cumberland County Trend: Number of Suicide Deaths by Age Bracket

106

121117

110

99

0

20

40

60

80

100

120

140

2010-12 2011-13 2012-14 2013-15 2014-16

Nu

mb

er

of

De

ath

s

Three-Year Period

2009-11 2010-12 2011-13 2012-14 2013-15 2014-16

15-24 14 12 13 10 13 18

25-34 15 13 17 18 24 21

35-44 22 18 17 17 13 12

45-54 32 39 44 45 33 23

55-64 17 18 22 19 21 19

0

5

10

15

20

25

30

35

40

45

50

Nu

mb

er

of

De

ath

s


36

Cumberland County Trend: Rate of Suicide Deaths by Gender

Indicator 3.5. 12.3 alcohol-induced deaths/100,000 population (2014-16) (c.v. 107).33

Disaggregated Data Cumberland County Trend: Number of Alcohol-induced Deaths by Age Bracket*

*Deaths fewer than ten for an age group in any one three-year period are suppressed and will show as zero on the chart.

23.2 22.7

26.3 27 25.9

20.1

9.8 10.3 11.18.9 7.7

0

5

10

15

20

25

30

35

40

45

50

2009-11 2010-12 2011-13 2012-14 2013-15 2014-16

Ra

te p

er

100

,00

0 R

esid

en

ts

3-Year Period

Males Females

2010-12 2011-13 2012-14 2013-15 2014-16

35-44 0 0 0 11 15

45-54 22 18 22 33 42

55-64 23 28 32 33 31

65-74 0 0 13 17 16

0

5

10

15

20

25

30

35

40

45

Num

ber

of

Death

s


37

What does this indicator tell us? Years of Potential Life Lost premature deaths or deaths before the age of 75. Every death occurring before the age of 75 contributes to the total number of years of potential life lost. The indicator places more weight on deaths that occur earlier in life. For example, if an infant dies 75 years of potential life lost are added to the yearly count. If a 70-year-old dies, five years of potential life lost are added to the yearly count. Smaller counties such as Cumberland report their Years of Potential Life Lost in three-year increments. Data are derived from the State of Maine death certificates and are available in CDC Wonder, which is located on the internet at https://wonder.cdc.gov/welcome.html. Why is this important? To reduce the years of potential life lost we need to reduce the number of premature deaths. Each year in Cumberland County close to 1,000 residents die before the age of 75. Deaths before the age of 75 are premature deaths and many are preventable. The leading causes of death in Cumberland County are chronic diseases (heart disease, cancer, etc.), substance-induced deaths, and death by suicide. Given the immense scope of leading causes of death, the Thrive2027 Council decided to initially focus efforts on reducing deaths due to substance use disorder and suicide. The work will also address tobacco use, which is a major contributor to much chronic disease.


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Thrive2027 Data Sources

1 Maine Department of Education. (2017). Maine Assessment and Accountability Reporting System. https://lms.backpack.education/public/maine.


3 Feeding America. (2017). Map the Meal Gap. Retrieved from http://map.feedingamerica.org.

4 U.S. Census Bureau. American Community Survey, Table B17024. Retrieved from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_B17024&prodType=table.

5 Maine Department of Health and Human Services. (2016). Childhood Lead Poisoning. Retrieved from https://data.mainepublichealth.gov/tracking/leadupdate.


7 Child and Family Services, Maine Department of Health and Human Services. (2016). Child Protective Services Annual Report. Retrieved from http://www.maine.gov/dhhs/ocfs/cw/reports/cps_reports.shtml.

8 Greater Portland School Districts, Children who are Kindergarten Ready. This indicator is under development.

9 Maine Department of Health and Human Services. Quality Rating and Improvement System - Monthly Enrollment. Retrieved from http://www.qualityforme.org/QRS_Enrollment/state.aspx.

10 Greater Portland School Districts, Second Grade Reading Proficiency. This indicator is under development.

11 U.S. Census Bureau. American Community Survey, Table DP04. Retrieved from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_DP04&prodType=table.




https://lms.backpack.education/public/maine


http://map.feedingamerica.org/

https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_B17024&prodType=table


https://data.mainepublichealth.gov/tracking/leadupdate



http://www.maine.gov/dhhs/ocfs/cw/reports/cps_reports.shtml

http://www.qualityforme.org/QRS_Enrollment/state.aspx

https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_DP04&prodType=table

https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_DP04&prodType=table








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15 Maine Department of Education. Graduate Rates and Drop-out Rates Data. Retrieved from http://www.maine.gov/doe/data/student/gradrates.html.

16 U.S. Census Bureau. (2017). American Community Survey, Table S1501. Retrieved from http://factfinder.census.gov/bkmk/table/1.0/en/ACS/16_1YR/S1501.



19 Mitchell Institute. (2015). Maine College-Going Data Brief. Retrieved from http://mitchellinstitute.org/research/maine/.


21 U.S. Census Bureau American Community Survey, Table B17026. Retrieved from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_1YR_B17024&prodType=table.


23 Prosperity Now. (2018, February). Prosperity Now Scorecard. Retrieved from http://scorecard.prosperitynow.org/data-by-location.

24 Maine Housing. (2018). 2017 Cumberland County Housing Data. Retrieved from http://www.mainehousing.org/policy-research/housing-data.

25 Glasmeir, A. (2018). Living Wage Calculator for Cumberland County, Maine. Retrieved from http://livingwage.mit.edu.

26 University of Wisconsin Population Health Institute. (2018). County Health Rankings and Roadmaps.

Retrieved from http://www.countyhealthrankings.org/.

27 Maine Youth Integrated Youth Health Survey, Middle School 2017.

28 Maine Youth Integrated Youth Health Survey, High School 2017.

29 Child and Family Services, Maine Department of Health and Human Services. (2016). Child Protective Services Annual Report. Retrieved from http://www.maine.gov/dhhs/ocfs/cw/reports/cps_reports.shtml.

30 National Center for Health Statistics, Centers for Disease Control and Prevention. (2016). Underlying Causes of Death 1999-2016. Retrieved from https://wonder.cdc.gov/.

http://www.maine.gov/doe/data/student/gradrates.html

http://factfinder.census.gov/bkmk/table/1.0/en/ACS/16_1YR/S1501



http://mitchellinstitute.org/research/maine/







http://scorecard.prosperitynow.org/data-by-location

http://www.mainehousing.org/policy-research/housing-data

http://livingwage.mit.edu/

http://www.countyhealthrankings.org/

http://www.maine.gov/dhhs/ocfs/cw/reports/cps_reports.shtml

https://wonder.cdc.gov/


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31 Sorg, Marcella. H. (2018). Expanded Maine Drug Death Report for 2017. Orono: Margaret Chase Smith Center.

32 National Center for Health Statistics, C. for D. C. and P. (2016). Underlying Causes of Death 1999-2016. Retrieved from https://wonder.cdc.gov/.

https://wonder.cdc.gov/

Documents

Thrive2027 Data Dashboard - United Way of Greater Portland · Freeport 128 12.4 Harrison 117 46.3 Cumberland 108 11.7 Raymond 92 17 Yarmouth 83 9.2 Indicator 1.4. 6% of children under