Demographic Profile: Bogart · Bogart 28% 57% 12% 2% Own parent(s), husband−wife family Own...

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Demographic Profile: Bogart

Transcript of Demographic Profile: Bogart · Bogart 28% 57% 12% 2% Own parent(s), husband−wife family Own...

Page 1: Demographic Profile: Bogart · Bogart 28% 57% 12% 2% Own parent(s), husband−wife family Own parent, single−parent family Other relative Non−relative or group quarters Georgia

Demographic Profile:Bogart

Page 2: Demographic Profile: Bogart · Bogart 28% 57% 12% 2% Own parent(s), husband−wife family Own parent, single−parent family Other relative Non−relative or group quarters Georgia

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Contents

• Decennial 2010 Profile

• Technical Notes, Decennial Profile

• ACS 2013-17 Profile

• Technical Notes, ACS Profile

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Page 5: Demographic Profile: Bogart · Bogart 28% 57% 12% 2% Own parent(s), husband−wife family Own parent, single−parent family Other relative Non−relative or group quarters Georgia
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BOGART Decennial 2010 Profile

Sex and Age

75−79

85 and over

80−84

70−74

65−69

55−59

25−29

5−9

20−24

60−64

15−19

30−34

Under 5

10−14

50−54

35−39

45−49

40−44

40 20 0 20 40

Males

Females

Bogart

85 and over

80−84

75−79

70−74

65−69

60−64

55−59

20−24

Under 5

10−14

30−34

25−29

5−9

50−54

15−19

40−44

35−39

45−49

400,000 200,000 0 200,000 400,000

Males

Females

Georgia

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Decennial 2010 Profile BOGART

Race and Latino Origin

82%

7%

2%

8% 1%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

Bogart

56%30%

3%

9%2%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

Georgia

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BOGART Decennial 2010 Profile

Housing Tenure

43%

19%

28%

10%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

Bogart

43%

15%

30%

12%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

Georgia

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Decennial 2010 Profile BOGART

Households by Type

54%

20%

26%

Husband−wife family

Single−headed family

Non−family

Bogart

48%

21%

31%

Husband−wife family

Single−headed family

Non−family

Georgia

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BOGART Decennial 2010 Profile

Children by Household Type

65%

23%

11%1%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

Bogart

57%28%

12%2%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

Georgia

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Decennial 2010 Profile BOGART

SEX AND AGE Number PercentTotal population 1,034 100.0%

Under 5 years 70 6.8%5 to 9 years 73 7.1%10 to 14 years 79 7.6%15 to 19 years 78 7.5%20 to 24 years 57 5.5%25 to 29 years 54 5.2%30 to 34 years 72 7.0%35 to 39 years 74 7.2%40 to 44 years 78 7.5%45 to 49 years 89 8.6%50 to 54 years 73 7.1%55 to 59 years 54 5.2%60 to 64 years 68 6.6%65 to 69 years 46 4.4%70 to 74 years 34 3.3%75 to 79 years 17 1.6%80 to 84 years 10 1.0%85 years and over 8 0.8%

Median age (years) 37.1 (X)

16 years and over 797 77.1%18 years and over 763 73.8%21 years and over 722 69.8%62 years and over 149 14.4%65 years and over 115 11.1%

Male population 499 48.3%Under 5 years 34 3.3%5 to 9 years 42 4.1%10 to 14 years 42 4.1%15 to 19 years 42 4.1%20 to 24 years 24 2.3%25 to 29 years 24 2.3%30 to 34 years 36 3.5%35 to 39 years 36 3.5%40 to 44 years 33 3.2%45 to 49 years 45 4.4%50 to 54 years 35 3.4%55 to 59 years 24 2.3%60 to 64 years 33 3.2%65 to 69 years 18 1.7%70 to 74 years 17 1.6%75 to 79 years 11 1.1%80 to 84 years 2 0.2%85 years and over 1 0.1%

Median age (years) 35.8 (X)

16 years and over 371 35.9%18 years and over 350 33.8%21 years and over 336 32.5%

Continued on next page...

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BOGART Decennial 2010 Profile

SEX AND AGE (Continued) Number Percent62 years and over 65 6.3%65 years and over 49 4.7%

Female population 535 51.7%Under 5 years 36 3.5%5 to 9 years 31 3.0%10 to 14 years 37 3.6%15 to 19 years 36 3.5%20 to 24 years 33 3.2%25 to 29 years 30 2.9%30 to 34 years 36 3.5%35 to 39 years 38 3.7%40 to 44 years 45 4.4%45 to 49 years 44 4.3%50 to 54 years 38 3.7%55 to 59 years 30 2.9%60 to 64 years 35 3.4%65 to 69 years 28 2.7%70 to 74 years 17 1.6%75 to 79 years 6 0.6%80 to 84 years 8 0.8%85 years and over 7 0.7%

Median age (years) 38.3 (X)

16 years and over 426 41.2%18 years and over 413 39.9%21 years and over 386 37.3%62 years and over 84 8.1%65 years and over 66 6.4%

RACE Number PercentTotal population 1,034 100.0%

One Race 1,016 98.3%White 888 85.9%Black or African American 69 6.7%American Indian and Alaska Native 2 0.2%Asian 25 2.4%

Asian Indian 14 1.4%Chinese 4 0.4%Filipino 7 0.7%Japanese 0 0.0%Korean 0 0.0%Vietnamese 0 0.0%Other Asian 0 0.0%

Native Hawaiian and Other Pacific Islander 0 0.0%Native Hawaiian 0 0.0%Guamanian or Chamorro 0 0.0%Samoan 0 0.0%Other Pacific Islander 0 0.0%

Some Other Race 32 3.1%Two or More Races 18 1.7%

White; American Indian and Alaska Native 2 0.2%White; Asian 0 0.0%White; Black or African American 8 0.8%White; Some Other Race 4 0.4%

Continued on next page...

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Decennial 2010 Profile BOGART

RACE (Continued) Number PercentRace alone or in combination with one or more other races:White 905 87.5%Black or African American 81 7.8%American Indian and Alaska Native 4 0.4%Asian 29 2.8%Native Hawaiian and Other Pacific Islander 0 0.0%Some Other Race 36 3.5%

HISPANIC OR LATINO Number PercentTotal population 1,034 100.0%

Hispanic or Latino (of any race) 81 7.8%Mexican 50 4.8%Puerto Rican 3 0.3%Cuban 0 0.0%Other Hispanic or Latino 28 2.7%

Not Hispanic or Latino 953 92.2%

HISPANIC OR LATINO AND RACE Number PercentTotal population 1,034 100.0%

Hispanic or Latino 81 7.8%White alone 42 4.1%Black or African American alone 1 0.1%American Indian and Alaska Native alone 1 0.1%Asian alone 0 0.0%Native Hawaiian and Other Pacific Islander alone 0 0.0%Some Other Race alone 32 3.1%Two or More Races 5 0.5%

Not Hispanic or Latino 953 92.2%White alone 846 81.8%Black or African American alone 68 6.6%American Indian and Alaska Native alone 1 0.1%Asian alone 25 2.4%Native Hawaiian and Other Pacific Islander alone 0 0.0%Some Other Race alone 0 0.0%Two or More Races 13 1.3%

RELATIONSHIP Number PercentTotal population 1,034 100.0%

In households 1,034 100.0%Householder 400 38.7%Spouse 218 21.1%Child 331 32.0%

Own child under 18 years 237 22.9%Other relatives 48 4.6%

Under 18 years 30 2.9%65 years and over 3 0.3%

Nonrelatives 37 3.6%Under 18 years 4 0.4%65 years and over 1 0.1%

Unmarried partner 20 1.9%

In group quarters 0 0.0%Institutionalized population 0 0.0%

Male 0 0.0%Female 0 0.0%

Noninstitutionalized population 0 0.0%Continued on next page...

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BOGART Decennial 2010 Profile

RELATIONSHIP (Continued) Number PercentMale 0 0.0%Female 0 0.0%

HOUSEHOLDS BY TYPE Number PercentTotal households 400 100.0%

Family households (families) 297 74.3%With own children under 18 years 132 33.0%

Husband-wife family 218 54.5%With own children under 18 years 97 24.3%

Male householder, no wife present 24 6.0%With own children under 18 years 12 3.0%

Female householder, no husband present 55 13.8%With own children under 18 years 23 5.8%

Nonfamily households 103 25.7%Householder living alone 93 23.3%

Male 31 7.8%65 years and over 6 1.5%

Female 62 15.5%65 years and over 23 5.8%

Households with individuals under 18 years 151 37.7%Households with individuals 65 years and over 81 20.3%

Average household size 2.59 (X)Average family size 3.01 (X)

HOUSING OCCUPANCY Number PercentTotal housing units 443 100.0%

Occupied housing units 400 90.3%Vacant housing units 43 9.7%

For rent 15 3.4%Rented, not occupied 0 0.0%For sale only 8 1.8%Sold, not occupied 1 0.2%For seasonal, recreational, or occasional use 2 0.5%All other vacants 17 3.8%

Homeowner vacancy rate (percent) 2.8 (X)Rental vacancy rate (percent) 10.6 (X)

HOUSING TENURE Number PercentOccupied housing units 400 100.0%

Owner-occupied housing units 274 68.5%Population in owner-occupied housing units 711 (X)Average household size of owner-occupied units 2.59 (X)

Renter-occupied housing units 126 31.5%Population in renter-occupied housing units 323 (X)Average household size of renter-occupied units 2.56 (X)

Notes:∞ Data could not be computed (see Technical Notes).

Report prepared by Emory University’s Policy Analysis Laboratory andTerra Cognita Consulting, LLC in cooperation with Neighborhood Nexus.

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Technical Notes, Decennial Profile

This report features demographic profiles based on the Census Bureaus 2010 Census of Populationand Housing. These profiles follow precisely the order, format, and content of the DP-1 profiles availablevia the Census Bureaus American Fact Finder online system.

Why is there so much less data in this report than in the 2000 De mographic Profiles?

The short answer is that the 2010 Census form asked only 10 questions, and that many items of interest(e.g. income, educational attainment, employment status, rents paid) no longer appear on the question-naire.

A longer answer involves a bit of history to understand recent changes in how the Census Bureaucollects data. First, it is worth noting that the decennial census is a constitutional requirement– Article I,Section 2 requires an enumeration of inhabitants once every 10 years to determine apportionment of theHouse of Representatives. But the only constitutional requirement is the count itself; the government haslong seen fit to gather other data about the nation as an add-on to this process. Indeed, from 1940 until2000, the Census Bureau actually conducted a census (counting of the entire population) simultaneouslywith a survey (measuring a sample of the population) simultaneously: most households received a ”shortform” with basic questions (e.g. age, sex, race), while a ”long form” with everything contained on the ”shortform” plus many other topics (e.g. educational attainment, occupation, income) was administered to asample of households (varied by year and other factors, but roughly 1 in 7 households).

Because the decennial census takes place only once every ten years, it provides a single ”snapshot”of the country. But policymakers wanted to have more timely data, so the Census Bureau moved to anew ”continuous measurement” model followed by the American Community Survey (ACS), which had itsnationwide launch in 2005. The ACS is a nationwide survey conducted by the U.S. Census Bureau ona continuous, rolling basis. It is intended to replace the ”long form” that has been a component of thedecennial census for the last several decades.

So will the most recent ACS fill in for the missing 2010 data?

Though the ACS is intended to replace the decennial long form, it is not a direct substitute. The twodiffer in many important ways, but we will focus on a few key points.

First, as mentioned above, the ”continuous measurement” model means that the ACS is not a snapshotfor any particular point in time. So while the decennial census measured where people lived on Census Day(historically April 1st of years ending in 0), the ACS looks at where people live on the day they are surveyed.For example, ACS income measures look at the 12-month period preceding the survey date, while thedecennial looked at the previous calendar year. Second, the ACS sample is much smaller than that of thedecennial census: roughly 2.5% each year. Even pooling the data over a 5-year period yields a combinedsample of only about 12.5%, considerably smaller than the roughly 16.7% sampled in the decennial census;the implications of this smaller sample on the margin of error for estimates is discussed below. Third, thepooling across years required to yield a decent-sized sample for smaller areas creates complications forinterpretation. Whereas the decennial census allowed one to say, ”on April 1, 2000, X% of the populationin region Y was unemployed,” we must now say ”over the course of the period 2005-2009, on average X%of the population in region Y was unemployed.”

When faced with a period of rapid change such as the onset of the ”Great Recession,” having a pooledestimate over a 5-year period is much less helpful than having a firm snapshot at a single point in time. Sowhile the ACS has been of great help to policymakers interested in the effects of the Great Recession on

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large geographies such as states, counties, and major cities (areas for which 1-year or 3-year estimatesare available), it has created new challenges for people interested in small cities and neighborhoods withinlarger cities.

To learn more about the ACS, how to use it, and how it differs from the decennial census, please referto the Census Bureau’s publication A Compass for Understanding and Using American Community SurveyData: What General Data Users Need to Know.

How do you estimate medians, and why cannot they be estimated all of the time?

The median is that value that marks the 50% line in a population: 50% of the population is above themedian and 50% is below. With individual level data, one can simply sort the data and find the middlevalue (if the number of items is odd) or take the average of the two middlemost values (if the number ofitems is even). However, the Census Bureau reports grouped data, e.g. how many households fall into aparticular income range. Estimating medians from grouped data involves finding the range that contains themiddlemost value, then estimating the point within that range that the middlemost value would occupy. Themedian cannot be estimated if it falls within a range lacking a minimum or maximum value.

Why do you note that some figures are based on tract-level data ?

The Census Bureau reports most of the data used in this report at the census block level, a very granularlevel of geography. However, some data are reported only for census tracts, which are generally muchlarger. Because the geographic areas in this report are built from blocks, data reported only for tracts mustbe re-estimated to the block level. We do this by assigning tract-level data to blocks based on the proportionof the tract population residing within each block comprising that tract.

Why do you note that certain fields in this report may differ sl ightly from DP-1 totals?

A very small number of data fields were reported differently in the SF1 release (where block-level dataare made available) and in the DP-1 release (data released no lower than the tract. For example, thequestion of whether Chinese and Taiwanese are the same nationality was handled differently in the tworeleases. Though minor, these differences are flagged in our reports.

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BOGART ACS 2013-17 Profile

Percent without a High School Diploma or GED

0

20

40

60

80

100P

erce

nt

Bogart Clarke County Oconee County Northeast Georgia Georgia

Percent with a Bachelor’s Degree or Higher

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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ACS 2013-17 Profile BOGART

Percent Foreign-Born

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Percent Speaking a Language other than English at Home

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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BOGART ACS 2013-17 Profile

Percent Owner-Occupied

0

20

40

60

80

100P

erce

nt

Bogart Clarke County Oconee County Northeast Georgia Georgia

Median Value of Owner-Occupied Housing Units

0

100,000

200,000

300,000

400,000

500,000

Dol

lars

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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ACS 2013-17 Profile BOGART

Homeowner Vacancy Rate

0

20

40

60

80

100

Rat

e

Bogart Clarke County Oconee County Northeast Georgia Georgia

Rental Vacancy Rate

0

20

40

60

80

100

Rat

e

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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BOGART ACS 2013-17 Profile

Percent of Homeowners for whom Selected Monthly Owner Costs Exceed 30% of Income

0

20

40

60

80

100P

erce

nt

Bogart Clarke County Oconee County Northeast Georgia Georgia

Percent of Housing Units Built Since 2000

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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ACS 2013-17 Profile BOGART

Percent of Persons Living outside Home County 1 Year Earlier

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Median Household Income

0

40,000

80,000

120,000

160,000

Dol

lars

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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BOGART ACS 2013-17 Profile

Percent Civilian Unemployed

0

20

40

60

80

100P

erce

nt

Bogart Clarke County Oconee County Northeast Georgia Georgia

Percent in Poverty

0

20

40

60

80

100

Per

cent

Bogart Clarke County Oconee County Northeast Georgia Georgia

Note: Bars represent the margin of error around each estimated value.

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ACS 2013-17 Profile BOGART

Selected Social Characteristics

HOUSEHOLDS BY TYPE Estimate Margin of Error Percent Margin of ErrorTotal households 500 ±100 500 (X)

Family households (families) 387 ±101 77.4% ±13.0With own children of the householder under 18 years 142 ±54 28.4% ±9.2

Married-couple family 281 ±69 56.2% ±8.0With own children of the householder under 18 years 102 ±44 20.4% ±7.8

Male householder, no wife present, family 17 ±23 3.4% ±4.5With own children of the householder under 18 years 12 ±21 2.4% ±4.2

Female householder, no husband present, family 89 ±53 17.8% ±10.0With own children of the householder under 18 years 28 ±23 5.6% ±4.5

Nonfamily households 113 ±46 22.6% ±8.0Householder living alone 101 ±45 20.2% ±8.065 years and over 24 ±16 4.8% ±3.1

Households with one or more people under 18 years 157 ±56 31.4% ±9.3Households with one or more people 65 years and over 91 ±28 18.2% ±4.3

Average household size 2.52 ±0.24 (X) (X)Average family size 2.87 ±0.88 (X) (X)

RELATIONSHIP Estimate Margin of Error Percent Margin of ErrorPopulation in households 1,261 ±280 1,261 (X)

Householder 500 ±111 39.7% ±12.4Spouse 284 ±67 22.5% ±1.8Child 370 ±115 29.3% ±6.4Other relatives 70 ±53 5.6% ±4.0Nonrelatives 37 ±31 2.9% ±2.4

Unmarried partner 23 ±27 1.8% ±2.1

MARITAL STATUS Estimate Margin of Error Percent Margin of ErrorMales 15 years and over 511 ±129 511 (X)

Never married 171 ±85 33.5% ±14.3Now married, except separated 291 ±70 56.9% ±19.9Separated 12 ±21 2.3% ±4.1Widowed 4 ±7 0.8% ±1.4Divorced 33 ±26 6.5% ±4.8

Females 15 years and over 558 ±131 558 (X)Never married 160 ±80 28.7% ±12.7Now married, except separated 292 ±73 52.3% ±4.3Separated 12 ±14 2.2% ±2.5Widowed 40 ±19 7.2% ±3.0Divorced 54 ±23 9.7% ±3.4

FERTILITY Estimate Margin of Error Percent Margin of ErrorNumber of women 15 to 50 years old who had a birthin the past 12 months

25 ±22 25 (X)

Unmarried women (widowed, divorced, and never married) 5 ±7 20.0% ±21.8Per 1,000 unmarried women 27 ±36 (X) (X)

Per 1,000 women 15 to 50 years old 72 ±59 (X) (X)Per 1,000 women 15 to 19 years old 0 ±438 (X) (X)Per 1,000 women 20 to 34 years old 109 ±147 (X) (X)Per 1,000 women 35 to 50 years old 57 ±59 (X) (X)

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BOGART ACS 2013-17 Profile

GRANDPARENTS Estimate Margin of Error Percent Margin of ErrorNumber of grandparents living with own grandchil-dren under 18 years

26 ±20 26 (X)

Grandparents responsible for grandchildren 14 ±16 53.8% ±45.5Years responsible for grandchildren

Less than 1 year 5 ±15 19.2% ±56.81 or 2 years 0 ±13 0.0% ±50.03 or 4 years 0 ±13 0.0% ±50.05 or more years 9 ±14 34.6% ±46.8

Number of grandparents responsible for own grand-children under 18 years

14 ±16 14 (X)

Who are female 4 ±6 28.6% ±27.8Who are married 9 ±14 64.3% ±67.8

SCHOOL ENROLLMENT Estimate Margin of Error Percent Margin of ErrorPopulation 3 years and over enrolled in school 257 ±104 257 (X)

Nursery school, preschool 3 ±5 1.2% ±1.9Kindergarten 7 ±8 2.7% ±2.9Elementary school (grades 1-8) 85 ±46 33.1% ±11.9High school (grades 9-12) 79 ±46 30.7% ±12.9College or graduate school 83 ±43 32.3% ±10.6

EDUCATIONAL ATTAINMENT Estimate Margin of Error Percent Margin of ErrorPopulation 25 years and over 895 ±194 895 (X)

Less than 9th grade 49 ±47 5.5% ±5.19th to 12th grade, no diploma 42 ±27 4.7% ±2.9High school graduate (includes equivalency) 306 ±83 34.2% ±5.6Some college, no degree 209 ±80 23.4% ±7.4Associate’s degree 51 ±27 5.7% ±2.7Bachelor’s degree 166 ±63 18.5% ±5.7Graduate or professional degree 72 ±34 8.0% ±3.4

Percent high school graduate or higher 89.8% ±24.9 (X) (X)Percent bachelor’s degree or higher 26.6% ±5.5 (X) (X)

VETERAN STATUS Estimate Margin of Error Percent Margin of ErrorCivilian population 18 years and over 1,018 ±227 1,018 (X)

Civilian veterans 46 ±26 4.5% ±2.3

DISABILITY STATUS OF THE CIVILIAN NON-INSTITUTIONALIZED POPULATION

Estimate Margin of Error Percent Margin of Error

Total Civilian Noninstitutionalized Population 1,261 ±280 1,261 (X)With a disability 111 ±55 8.8% ±3.9

Under 18 years 243 ±77 243 (X)With a disability 0 ±26 0.0% ±10.7

18 to 64 years 892 ±156 892 (X)With a disability 69 ±42 7.7% ±4.5

65 years and over 126 ±37 126 (X)With a disability 42 ±25 33.3% ±17.5

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ACS 2013-17 Profile BOGART

RESIDENCE 1 YEAR AGO Estimate Margin of Error Percent Margin of ErrorPopulation 1 year and over 1,241 ±274 1,241 (X)

Same house 1,150 ±256 92.7% ±2.6Different house in the U.S. 76 ±55 6.1% ±4.2

Same county 11 ±20 0.9% ±1.6Different county 65 ±51 5.2% ±4.0Same state 28 ±23 2.3% ±1.8Different state 37 ±46 3.0% ±3.6

Abroad 15 ±18 1.2% ±1.4

PLACE OF BIRTH Estimate Margin of Error Percent Margin of ErrorTotal population 1,261 ±280 1,261 (X)

Native 1,085 ±242 86.0% ±1.8Born in United States 1,071 ±210 84.9% ±25.1State of residence 726 ±178 57.6% ±6.0Different state 345 ±111 27.4% ±6.4

Born in Puerto Rico, U.S. Island areas, or born abroad toAmerican parent(s)

14 ±21 1.1% ±1.6

Foreign born 176 ±117 14.0% ±8.7

U.S. CITIZENSHIP STATUS Estimate Margin of Error Percent Margin of ErrorForeign-born population 176 ±117 176 (X)

Naturalized U.S. citizen 83 ±60 47.2% ±13.4Not a U.S. citizen 93 ±85 52.8% ±33.1

YEAR OF ENTRY Estimate Margin of Error Percent Margin of ErrorPopulation born outside the United States 190 ±118 190 (X)

Native 14 ±31 14 (X)Entered 2010 or later 14 ±21 100.0% ±266.2Entered before 2010 0 ±23 0.0% ±160.8

Foreign born 176 ±117 176 (X)Entered 2010 or later 4 ±10 2.3% ±5.5Entered before 2010 172 ±107 97.7% ±89.0

WORLD REGION OF BIRTH OF FOREIGN BORN Estimate Margin of Error Percent Margin of ErrorForeign-born population, excluding population bornat sea

176 ±117 176 (X)

Europe 10 ±12 5.7% ±5.7Asia 30 ±53 17.0% ±27.9Africa 53 ±78 30.1% ±39.5Oceania 0 ±13 0.0% ±7.4Latin America 83 ±93 47.2% ±42.5Northern America 0 ±13 0.0% ±7.4

LANGUAGE SPOKEN AT HOME Estimate Margin of Error Percent Margin of ErrorPopulation 5 years and over 1,174 ±265 1,174 (X)

English only 998 ±198 85.0% ±25.6Language other than English 176 ±121 15.0% ±9.7

Speak English less than ’very well’ 97 ±104 8.3% ±8.6Spanish 111 ±96 9.5% ±7.9Speak English less than ’very well’ 69 ±68 5.9% ±5.7

Other Indo-European languages 11 ±20 0.9% ±1.7Speak English less than ’very well’ 4 ±38 0.3% ±3.2

Asian and Pacific Islander languages 30 ±56 2.6% ±4.7Speak English less than ’very well’ 24 ±56 2.0% ±4.7

Other languages 24 ±43 2.0% ±3.6Speak English less than ’very well’ 0 ±39 0.0% ±3.3

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BOGART ACS 2013-17 Profile

ANCESTRY Estimate Margin of Error Percent Margin of ErrorTotal population 1,261 ±280 1,261 (X)

American 126 ±62 10.0% ±4.4Arab 4 ±7 0.3% ±0.6Czech 3 ±5 0.2% ±0.4Danish 31 ±42 2.5% ±3.3Dutch 11 ±13 0.9% ±1.0English 73 ±57 5.8% ±4.3French (except Basque) 52 ±35 4.1% ±2.6French Canadian 4 ±7 0.3% ±0.6German 137 ±63 10.9% ±4.4Greek 4 ±7 0.3% ±0.6Hungarian 0 ±13 0.0% ±1.0Irish 127 ±75 10.1% ±5.5Italian 17 ±18 1.3% ±1.4Lithuanian 0 ±13 0.0% ±1.0Norwegian 19 ±24 1.5% ±1.9Polish 0 ±13 0.0% ±1.0Portuguese 0 ±13 0.0% ±1.0Russian 0 ±13 0.0% ±1.0Scotch-Irish 32 ±24 2.5% ±1.8Scottish 48 ±36 3.8% ±2.7Slovak 0 ±13 0.0% ±1.0Subsaharan African 50 ±77 4.0% ±6.0Swedish 7 ±9 0.6% ±0.7Swiss 0 ±13 0.0% ±1.0Ukranian 0 ±13 0.0% ±1.0Welsh 5 ±7 0.4% ±0.5West Indian (excluding Hispanic origin groups) 0 ±13 0.0% ±1.0

COMPUTERS AND INTERNET USE Estimate Margin of Error Percent Margin of ErrorTotal Households 500 ±100 500 (X)

With a computer 451 ±92 90.2% ±3.6With a broadband Internet subscription 381 ±85 76.2% ±7.5

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ACS 2013-17 Profile BOGART

Selected Economic Characteristics

EMPLOYMENT STATUS Estimate Margin of Error Percent Margin of ErrorPopulation 16 years and over 1,041 ±228 1,041 (X)

In labor force 737 ±142 70.8% ±20.6Civilian labor force 737 ±142 70.8% ±20.6Employed 688 ±137 66.1% ±19.6Unemployed 49 ±69 4.7% ±6.5

Armed Forces 0 ±58 0.0% ±5.6Not in labor force 304 ±79 29.2% ±4.1

Civilian labor force 737 ±142 737 (X)Unemployment Rate 6.6% ±9.3 (X) (X)

Females 16 years and over 535 ±118 535 (X)In labor force 332 ±99 62.1% ±12.4

Civilian labor force 332 ±99 62.1% ±12.4Employed 319 ±97 59.6% ±12.6

own children of the householder under 6 years 90 ±48 90 (X)All parents in family in labor force 53 ±36 58.9% ±25.4

own children of the householder 6 to 17 years 141 ±70 141 (X)All parents in family in labor force 85 ±52 60.3% ±21.1

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BOGART ACS 2013-17 Profile

COMMUTING TO WORK Estimate Margin of Error Percent Margin of ErrorWorkers 16 years and over 688 ±184 688 (X)

Car, truck, or van – drove alone 532 ±136 77.3% ±28.6Car, truck, or van – carpooled 130 ±100 18.9% ±13.6Public transportation (excluding taxicab) 0 ±13 0.0% ±1.9Walked 4 ±6 0.6% ±0.9Other means 11 ±14 1.6% ±2.0Worked at home 11 ±12 1.6% ±1.7

Mean travel time to work (minutes) 25.8 ±5.8 (X) (X)

OCCUPATION Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 688 ±137 688 (X)

Management, business, science, and arts occupations 218 ±73 31.7% ±8.6Service occupations 182 ±77 26.5% ±9.8Sales and office occupations 150 ±59 21.8% ±7.4Natural resources, construction, and maintenance occupa-tions

63 ±48 9.2% ±6.7

Production, transportation, and material moving occupations 75 ±40 10.9% ±5.4

INDUSTRY Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 688 ±137 688 (X)

Agriculture, forestry, fishing and hunting, and mining 0 ±18 0.0% ±2.7Construction 94 ±61 13.7% ±8.4Manufacturing 88 ±54 12.8% ±7.5Wholesale trade 17 ±15 2.5% ±2.1Retail trade 51 ±28 7.4% ±3.8Transportation and warehousing, and utilities 13 ±11 1.9% ±1.6Information 30 ±29 4.4% ±4.1Finance and insurance, and real estate and rental and leasing 21 ±31 3.1% ±4.5Professional, scientific, and management, and administrativeand waste management services

57 ±33 8.3% ±4.5

Educational services, and health care and social assistance 116 ±41 16.9% ±4.5Arts, entertainment, and recreation, and accommodation andfood services

93 ±49 13.5% ±6.7

Other services, except public administration 42 ±33 6.1% ±4.6Public administration 66 ±48 9.6% ±6.7

CLASS OF WORKER Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 688 ±137 688 (X)

Private wage and salary workers 557 ±132 81.0% ±10.6Government workers 100 ±55 14.5% ±7.5Self-employed in own not incorporated business workers 31 ±28 4.5% ±4.0Unpaid family workers 0 ±18 0.0% ±2.7

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ACS 2013-17 Profile BOGART

INCOME AND BENEFITS (IN 2017 INFLATION-ADJUSTEDDOLLARS)

Estimate Margin of Error Percent Margin of Error

Total households 500 ±100 500 (X)Less than $10,000 19 ±20 3.8% ±3.9$10,000 to $14,999 5 ±10 1.0% ±2.0$15,000 to $24,999 50 ±41 10.0% ±7.9$25,000 to $34,999 61 ±33 12.2% ±6.1$35,000 to $49,999 121 ±61 24.2% ±6.1$50,000 to $74,999 84 ±43 16.8% ±6.1$75,000 to $99,999 72 ±27 14.4% ±4.6$100,000 to $149,999 77 ±44 15.4% ±8.2$150,000 to $199,999 0 ±13 0.0% ±2.6$200,000 or more 11 ±12 2.2% ±2.4Median household income (dollars) 49,063 ±8,067 (X) (X)Mean household income (dollars) 65,565 ±12,116 (X) (X)

With earnings 428 ±104 85.6% ±11.8Mean earnings (dollars) 62,610 ±10,255 (X) (X)

With Social Security 97 ±30 19.4% ±4.6Mean Social Security income (dollars) 19,996 ±4,984 (X) (X)

With retirement income 69 ±41 13.8% ±7.7Mean retirement income (dollars) 15,872 ±12,974 (X) (X)

With Supplemental Security Income 5 ±7 1.0% ±1.4Mean Supplemental Security Income (dollars) . ±. (X) (X)

With cash public assistance income 6 ±7 1.2% ±1.4Mean cash public assistance income (dollars) . ±. (X) (X)

With Food Stamp/SNAP benefits in the past 12 months 53 ±28 10.6% ±5.2

Families 387 ±101 387 (X)Less than $10,000 15 ±19 3.9% ±4.8$10,000 to $14,999 5 ±10 1.3% ±2.6$15,000 to $24,999 51 ±49 13.2% ±12.2$25,000 to $34,999 45 ±28 11.6% ±6.7$35,000 to $49,999 56 ±34 14.5% ±8.1$50,000 to $74,999 77 ±41 19.9% ±9.2$75,000 to $99,999 57 ±23 14.7% ±4.5$100,000 to $149,999 72 ±43 18.6% ±9.9$150,000 to $199,999 0 ±13 0.0% ±3.4$200,000 or more 9 ±11 2.3% ±2.8Median family income (dollars) 56,146 ±11,612 (X) (X)Mean family income (dollars) 70,022 ±13,795 (X) (X)

Per capita income (dollars) 26,119 ±4,479 (X) (X)

Nonfamily households 113 ±46 113 (X)Median nonfamily income (dollars) 36,767 ±2,710 (X) (X)Mean nonfamily income (dollars) 41,304 ±4,643 (X) (X)

Median earnings for workers (dollars) 32,150 ±8,067 (X) (X)Median earnings for male full-time, year-round workers (dol-lars)

45,183 ±5,188 (X) (X)

Median earnings for female full-time, year-round workers (dol-lars)

37,292 ±6,510 (X) (X)

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BOGART ACS 2013-17 Profile

HEALTH INSURANCE COVERAGE Estimate Margin of Error Percent Margin of ErrorCivilian noninstitutionalized population 1,261 ±280 1,261 (X)With health insurance coverage 1,038 ±195 82.3% ±24.0With private health insurance 906 ±189 71.8% ±21.9With public coverage 248 ±69 19.7% ±3.3No health insurance coverage 223 ±103 17.7% ±7.1

Civilian noninstitutionalized population under 1 years 265 ±94 265 (X)No health insurance coverage 13 ±27 4.9% ±10.2

Civilian noninstitutionalized population 19 to 64 years 870 ±214 870 (X)In labor force: 719 ±193 719 (X)Employed: 670 ±181 670 (X)With health insurance coverage 544 ±148 81.2% ±2.6With private health insurance 538 ±148 80.3% ±4.2With public coverage 14 ±16 2.1% ±2.3No health insurance coverage 126 ±78 18.8% ±10.5

Unemployed: 49 ±38 49 (X)With health insurance coverage 21 ±29 42.9% ±49.0With private health insurance 21 ±29 42.9% ±49.0With public coverage 0 ±13 0.0% ±26.5No health insurance coverage 28 ±26 57.1% ±29.2

Not in labor force: 151 ±58 151 (X)With health insurance coverage 98 ±41 64.9% ±10.8With private health insurance 86 ±39 57.0% ±13.7With public coverage 17 ±17 11.3% ±10.4No health insurance coverage 53 ±31 35.1% ±15.5

PERCENTAGE OF FAMILIES AND PEOPLE WHOSE IN-COME IN THE PAST 12 MONTHS IS BELOW THEPOVERTY LEVEL

Estimate Margin of Error Percent Margin of Error

All families 9.3% ±8.7 (X) (X)With related children of the householder under 18 years 12.7% ±14.4 (X) (X)With related children of the householder under 5 years

only22.0% ±48.3 (X) (X)

Married couple families 7.1% ±10.2 (X) (X)With related children of the householder under 18 years 3.8% ±5.4 (X) (X)With related children of the householder under 5 years

only0.0% ±38.2 (X) (X)

Families with female householder, no husband present 18.0% ±18.4 (X) (X)With related children of the householder under 18 years 47.1% ±44.7 (X) (X)With related children of the householder under 5 years

only100.0% ±259.8 (X) (X)

All people 8.0% ±5.5 (X) (X)Under 18 years 10.7% ±19.4 (X) (X)

related children of the householder under 18 years 10.7% ±11.3 (X) (X)related children of the householder under 5 years 14.9% ±30.8 (X) (X)related children of the householder 5 to 17 years 8.3% ±23.1 (X) (X)

18 years and over 7.4% ±5.3 (X) (X)18 to 64 years 7.6% ±5.6 (X) (X)65 years and over 5.6% ±16.0 (X) (X)

People in families 7.6% ±6.3 (X) (X)Unrelated individuals 15 years and over 11.3% ±10.5 (X) (X)

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ACS 2013-17 Profile BOGART

Selected Housing Characteristics

HOUSING OCCUPANCY Estimate Margin of Error Percent Margin of ErrorTotal housing units 581 ±105 581 (X)

Occupied housing units 500 ±100 86.1% ±7.4Vacant housing units 81 ±51 13.9% ±8.4

Homeowner vacancy rate 1.2 ±1.8 (X) (X)Rental vacancy rate 6.1 ±9.6 (X) (X)

UNITS IN STRUCTURE Estimate Margin of Error Percent Margin of ErrorTotal housing units 581 ±105 581 (X)

1-unit, detached 411 ±89 70.7% ±8.41-unit, attached 31 ±30 5.3% ±5.12 units 68 ±40 11.7% ±6.63 or 4 units 0 ±13 0.0% ±2.25 to 9 units 0 ±13 0.0% ±2.210 to 19 units 0 ±13 0.0% ±2.220 or more units 0 ±18 0.0% ±3.2Mobile home 71 ±39 12.2% ±6.3Boat, RV, van, etc. 0 ±13 0.0% ±2.2

YEAR STRUCTURE BUILT Estimate Margin of Error Percent Margin of ErrorTotal housing units 581 ±105 581 (X)

Built 2014 or later 22 ±35 3.8% ±6.0Built 2010 to 2013 6 ±11 1.0% ±1.9Built 2000 to 2009 47 ±25 8.1% ±4.0Built 1990 to 1999 51 ±30 8.8% ±4.0Built 1980 to 1989 148 ±47 25.5% ±6.7Built 1970 to 1979 118 ±49 20.3% ±7.6Built 1960 to 1969 57 ±33 9.8% ±5.4Built 1950 to 1959 34 ±33 5.9% ±5.6Built 1940 to 1949 25 ±22 4.3% ±3.7Built 1939 or earlier 73 ±39 12.6% ±6.3

ROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 581 ±105 581 (X)

1 room 0 ±13 0.0% ±2.22 rooms 0 ±13 0.0% ±2.23 rooms 0 ±13 0.0% ±2.24 rooms 148 ±63 25.5% ±9.85 rooms 112 ±49 19.3% ±7.76 rooms 141 ±49 24.3% ±7.27 rooms 109 ±55 18.8% ±8.88 rooms 23 ±14 4.0% ±2.39 rooms or more 48 ±26 8.3% ±4.2Median rooms 5.7 ±0.3 (X) (X)

BEDROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 581 ±105 581 (X)

No bedroom 0 ±13 0.0% ±2.21 bedroom 0 ±13 0.0% ±2.22 bedrooms 224 ±74 38.6% ±10.73 bedrooms 251 ±66 43.2% ±8.34 bedrooms 97 ±49 16.7% ±7.95 or more bedrooms 9 ±11 1.5% ±1.9

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BOGART ACS 2013-17 Profile

HOUSING TENURE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

Owner-occupied 331 ±78 66.2% ±8.2Renter-occupied 169 ±74 33.8% ±13.2

Average household size of owner-occupied unit 2.83 ±0.26 (X) (X)Average household size of renter-occupied unit 1.92 ±0.27 (X) (X)

YEAR HOUSEHOLDER MOVED INTO UNIT Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

Moved in 2015 or later 79 ±56 15.8% ±10.7Moved in 2010 to 2014 150 ±72 30.0% ±13.1Moved in 2000 to 2009 134 ±49 26.8% ±8.2Moved in 1990 to 1999 77 ±31 15.4% ±5.5Moved in 1980 to 1989 33 ±21 6.6% ±4.1Moved in 1979 or earlier 27 ±16 5.4% ±3.0

VEHICLES AVAILABLE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

No vehicles available 4 ±15 0.8% ±2.91 vehicle available 155 ±64 31.0% ±11.12 vehicles available 181 ±57 36.2% ±8.93 or more vehicles available 160 ±68 32.0% ±12.0

HOUSE HEATING FUEL Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

Utility gas 258 ±64 51.6% ±7.6Bottled, tank, or LP gas 2 ±5 0.4% ±1.0Electricity 230 ±83 46.0% ±13.8Fuel oil, kerosene, etc. 0 ±13 0.0% ±2.6Coal or coke 0 ±13 0.0% ±2.6Wood 7 ±9 1.4% ±1.8Solar energy 0 ±13 0.0% ±2.6Other fuel 0 ±13 0.0% ±2.6No fuel used 3 ±6 0.6% ±1.2

SELECTED CHARACTERISTICS Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

Lacking complete plumbing facilities 0 ±13 0.0% ±2.6Lacking complete kitchen facilities 0 ±13 0.0% ±2.6No telephone service available 3 ±14 0.6% ±2.8

OCCUPANTS PER ROOM Estimate Margin of Error Percent Margin of ErrorOccupied housing units 500 ±100 500 (X)

1.00 or less 495 ±105 99.0% ±6.81.01 to 1.50 5 ±16 1.0% ±3.31.51 or more 0 ±26 0.0% ±5.2

VALUE Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 331 ±78 331 (X)

Less than $50,000 17 ±29 5.1% ±8.8$50,000 to $99,999 43 ±25 13.0% ±7.0$100,000 to $149,999 87 ±37 26.3% ±9.4$150,000 to $199,999 89 ±37 26.9% ±9.3$200,000 to $299,999 68 ±51 20.5% ±14.8$300,000 to $499,999 22 ±14 6.6% ±3.8$500,000 to $999,999 2 ±14 0.6% ±4.2$1,000,000 or more 3 ±19 0.9% ±5.8Median (dollars) 156,500 ±13,201 (X) (X)

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ACS 2013-17 Profile BOGART

MORTGAGE STATUS Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 331 ±78 331 (X)

Housing units with a mortgage 207 ±71 62.5% ±15.6Housing units without a mortgage 124 ±37 37.5% ±6.9

SELECTED MONTHLY OWNER COSTS (SMOC) Estimate Margin of Error Percent Margin of ErrorHousing units with a mortgage 207 ±71 207 (X)

Less than $500 0 ±26 0.0% ±12.6$500 to $999 43 ±30 20.8% ±12.8$1,000 to $1,499 118 ±58 57.0% ±20.1$1,500 to $1,999 39 ±27 18.8% ±11.3$2,000 to $2,499 2 ±5 1.0% ±2.4$2,500 to $2,999 0 ±13 0.0% ±6.3$3,000 or more 5 ±20 2.4% ±9.5Median (dollars) 1,289 ±114 (X) (X)

Housing units without a mortgage 124 ±37 124 (X)Less than $250 29 ±26 23.4% ±20.1$250 to $399 35 ±18 28.2% ±11.7$400 to $599 41 ±25 33.1% ±18.0$600 to $799 14 ±11 11.3% ±8.6$800 to $999 2 ±14 1.6% ±11.2$1,000 or more 3 ±30 2.4% ±23.9Median (dollars) 392 ±81 (X) (X)

SELECTED MONTHLY OWNER COSTS AS A PERCENT-AGE OF HOUSEHOLD INCOME (SMOCAPI)

Estimate Margin of Error Percent Margin of Error

Housing units with a mortgage (excluding units whereSMOCAPI cannot be computed)

207 ±70 207 (X)

Less than 20.0 percent 103 ±50 49.8% ±17.720.0 to 24.9 percent 14 ±13 6.8% ±5.925.0 to 29.9 percent 25 ±19 12.1% ±8.230.0 to 34.9 percent 41 ±36 19.8% ±16.135.0 percent or more 24 ±22 11.6% ±10.0

Not computed 0 ±13 (X) (X)

Housing unit without a mortgage (excluding unitswhere SMOCAPI cannot be computed)

124 ±48 124 (X)

Less than 10.0 percent 44 ±22 35.5% ±11.410.0 to 14.9 percent 23 ±16 18.5% ±10.815.0 to 19.9 percent 33 ±20 26.6% ±12.520.0 to 24.9 percent 0 ±13 0.0% ±10.525.0 to 29.9 percent 8 ±9 6.5% ±6.830.0 to 34.9 percent 0 ±13 0.0% ±10.535.0 percent or more 16 ±26 12.9% ±20.7

Not computed 0 ±13 (X) (X)

GROSS RENT Estimate Margin of Error Percent Margin of ErrorOccupied units paying rent 152 ±72 152 (X)

Less than $500 0 ±39 0.0% ±25.7$500 to $999 122 ±68 80.3% ±23.8$1,000 to $1,499 22 ±22 14.5% ±12.8$1,500 to $1,999 0 ±13 0.0% ±8.6$2,000 to $2,499 0 ±13 0.0% ±8.6$2,500 to $2,999 8 ±14 5.3% ±8.9$3,000 or more 0 ±18 0.0% ±12.1Median (dollars) 859 ±89 (X) (X)

No rent paid 17 ±15 (X) (X)

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BOGART ACS 2013-17 Profile

GROSS RENT AS A PERCENTAGE OF HOUSEHOLD IN-COME (GRAPI)

Estimate Margin of Error Percent Margin of Error

Occupied units paying rent (excluding units whereGRAPI cannot be computed)

152 ±73 152 (X)

Less than 15.0 percent 6 ±15 3.9% ±9.915.0 to 19.9 percent 23 ±20 15.1% ±11.020.0 to 24.9 percent 51 ±46 33.6% ±25.625.0 to 29.9 percent 12 ±11 7.9% ±6.230.0 to 34.9 percent 14 ±21 9.2% ±13.135.0 percent or more 46 ±45 30.3% ±25.9

Not computed 17 ±15 (X) (X)

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ACS 2013-17 Profile BOGART

Selected Demographic Characteristics

SEX AND AGE Estimate Margin of Error Percent Margin of ErrorTotal Population 1,261 ±280 1,261 (X)

Male 607 ±154 48.1% ±5.9Female 654 ±155 51.9% ±4.3Sex ratio (males per 100 females) 92.8 ±8.4 (X) (X)

Under 5 years 87 ±43 6.9% ±3.05 to 9 years 46 ±31 3.6% ±2.310 to 14 years 59 ±38 4.7% ±2.815 to 19 years 77 ±48 6.1% ±3.620 to 24 years 97 ±48 7.7% ±3.425 to 34 years 211 ±94 16.7% ±6.435 to 44 years 171 ±63 13.6% ±4.045 to 54 years 194 ±67 15.4% ±4.155 to 59 years 136 ±53 10.8% ±3.560 to 64 years 57 ±27 4.5% ±1.965 to 74 years 87 ±32 6.9% ±2.075 to 84 years 36 ±18 2.9% ±1.385 years and over 3 ±14 0.2% ±1.1

Median age (years) 36.7 ±7.3 (X) (X)

Under 18 years 243 ±77 19.3% ±4.416 years and over 1,041 ±228 82.6% ±25.718 years and over 1,018 ±159 80.7% ±21.921 years and over 976 ±156 77.4% ±21.262 years and over 156 ±45 12.4% ±2.265 years and over 126 ±39 10.0% ±2.1

18 years and over 1,018 ±159 1,018 (X)Male 489 ±108 48.0% ±7.5Female 529 ±116 52.0% ±8.1Sex ratio (males per 100 females) 92.4 ±1.9 (X) (X)

65 years and over 126 ±39 126 (X)Male 51 ±28 40.5% ±18.5Female 75 ±27 59.5% ±10.8Sex ratio (males per 100 females) 68.0 ±28.5 (X) (X)

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BOGART ACS 2013-17 Profile

RACE Estimate Margin of Error Percent Margin of ErrorTotal population 1,261 ±280 1,261 (X)

One race 1,244 ±271 98.7% ±30.7Two or more races 17 ±25 1.3% ±2.0One race 1,244 ±271 98.7% ±30.7

White 1,095 ±249 86.8% ±4.3Black or African American 105 ±96 8.3% ±7.4American Indian and Alaska Native 0 ±13 0.0% ±1.0Cherokee tribal grouping 0 ±13 0.0% ±1.0Chippewa tribal grouping 0 ±13 0.0% ±1.0Navajo tribal grouping 0 ±13 0.0% ±1.0Sioux tribal grouping 0 ±13 0.0% ±1.0

Asian 30 ±53 2.4% ±4.2Asian Indian 0 ±13 0.0% ±1.0Chinese 0 ±18 0.0% ±1.5Filipino 30 ±53 2.4% ±4.2Japanese 0 ±13 0.0% ±1.0Korean 0 ±13 0.0% ±1.0Vietnamese 0 ±13 0.0% ±1.0Other Asian 0 ±54 0.0% ±4.3

Native Hawaiian and Other Pacific Islander 0 ±13 0.0% ±1.0Native Hawaiian 0 ±13 0.0% ±1.0Guamanian or Chamorro 0 ±13 0.0% ±1.0Samoan 0 ±13 0.0% ±1.0Other Pacific Islander 0 ±37 0.0% ±2.9

Some other race 14 ±36 1.1% ±2.8Two or more races 17 ±25 1.3% ±2.0

White and Black or African American 14 ±22 1.1% ±1.7White and American Indian and Alaska Native 1 ±4 0.1% ±0.3White and Asian 2 ±5 0.2% ±0.4Black or African American and American Indian andAlaska Native

0 ±13 0.0% ±1.0

Race alone or in combination with one or more other racesTotal population 1,261 ±280 1,261 (X)

White 1,112 ±257 88.2% ±5.7Black or African American 119 ±102 9.4% ±7.8American Indian and Alaska Native 1 ±4 0.1% ±0.3Asian 32 ±53 2.5% ±4.2Native Hawaiian and Other Pacific Islander 0 ±13 0.0% ±1.0Some other race 14 ±36 1.1% ±2.8

HISPANIC OR LATINO AND RACE Estimate Margin of Error Percent Margin of ErrorTotal population 1,261 ±280 1,261 (X)

Hispanic or Latino (of any race) 138 ±127 10.9% ±9.8Mexican 94 ±95 7.5% ±7.3Puerto Rican 0 ±13 0.0% ±1.0Cuban 0 ±13 0.0% ±1.0Other Hispanic or Latino 44 ±61 3.5% ±4.8

Not Hispanic or Latino 1,123 ±246 89.1% ±27.8White alone 971 ±216 77.0% ±1.0Black or African American alone 105 ±96 8.3% ±7.4American Indian and Alaska Native alone 0 ±13 0.0% ±1.0Asian alone 30 ±53 2.4% ±4.2Native Hawaiian and Other Pacific Islander alone 0 ±13 0.0% ±1.0Some other race alone 0 ±13 0.0% ±1.0Two or more races 17 ±25 1.3% ±2.0Two races including Some other race 0 ±13 0.0% ±1.0Two races excluding Some other race, and 17 ±25 1.3% ±2.0Three or more races

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ACS 2013-17 Profile BOGART

CITIZEN, VOTING AGE POPULATION Estimate Margin of Error Percent Margin of ErrorCitizen, 18 and over population 925 ±155 925 (X)

Male 458 ±120 49.5% ±10.0Female 467 ±97 50.5% ±6.3

Source: U.S. Census Bureau, 2013-17 American Community SurveyValues marked with a period denote estimates that could not be computed.Values marked ***** denote ’controlled’ estimates for which statistical tests for sampling variability are not appropriate.

Report prepared by Emory University’s Policy Analysis Laboratory andTerra Cognita Consulting, LLC in cooperation with Neighborhood Nexus.

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Technical Notes, ACS Profile

This report features demographic profiles based on the Census Bureaus 2013-2017 American Commu-nity Survey 5-year estimates. These profiles follow precisely the order, format, and content of the ACS-based ”fact sheets” available via the Census Bureaus American Fact Finder online system.

What is the American Community Survey, and What is a 5-Year Es timate?

The American Community Survey is a nationwide survey conducted by the U.S. Census Bureau ona continuous, rolling basis. It is intended to replace the ”long form” that has been a component of thedecennial census for the last several decades.

From 1940 until 2000, the Census Bureau actually conducted a census (counting of the entire popu-lation) and a survey (measuring a sample of the population) simultaneously: most households received a”short form” with basic questions (e.g. age, sex, race), while a ”long form” with everything contained on the”short form” plus many other topics (e.g. educational attainment, occupation, income) was administered toa sample of households (varied by year and other factors, but roughly 1 in 7 households). As the nameimplies, the decennial census took place only once every ten years, providing a single ”snapshot” of thecountry. But policymakers wanted to have more timely data, so the Census Bureau moved to the new”continuous measurement” model of the ACS, which had its nationwide launch in 2005.

Though the ACS is a replacement for the long form component of the census, it is not a direct substitute.The two differ in many important ways, but we will focus on a few key points.

First, as mentioned above, the ”continuous measurement” model means that the ACS is not a snapshotfor any particular point in time. So while the decennial census measured where people lived on Census Day(historically April 1st of years ending in 0), the ACS looks at where people live on the day they are surveyed.For example, ACS income measures look at the 12-month period preceding the survey date, while thedecennial looked at the previous calendar year. Second, the ACS sample is much smaller than that of thedecennial census: roughly 2.5% each year. Even pooling the data over a 5-year period yields a combinedsample of only about 12.5%, considerably smaller than the roughly 16.7% sampled in the decennial census;the implications of this smaller sample on the margin of error for estimates is discussed below. Third, thepooling across years required to yield a decent-sized sample for smaller areas creates complications forinterpretation. Whereas the decennial census allowed one to say, ”on April 1, 2000, X% of the populationin region Y was unemployed,” we must now say ”over the course of the period 2005-2009, on average X%of the population in region Y was unemployed.” When faced with a period of rapid change such the onsetof the ”Great Recession,” having a pooled estimate over a 5-year period is much less helpful than having afirm snapshot at a single point in time. So while the ACS has been of great help to policymakers interestedin the effects of the Great Recession on large geographies such as states, counties, and major cities (areasfor which 1-year or 3-year estimates are available), it has created new challenges for people interested insmall cities and neighborhoods within larger cities.

To learn more about the ACS, how to use it, and how it differs from the decennial census, please referto the Census Bureau’s publication A Compass for Understanding and Using American Community SurveyData: What General Data Users Need to Know.

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What is a Margin of Error, and Why is its Calculation so Import ant?

It is not feasible to administer the long form or the ACS to the entire population. Fortunately, this is notnecessary: just like a single spoonful can tell you if a pot of soup has enough salt, a reasonable estimateof a population may be derived from a quality sample. The quality of a sample depends on two factors: itsrepresentativeness and its size. In some sense, the representativeness is the more important of the two: abiased sample, however large, can never yield a good estimate. After adding salt to your soup but beforetasting, you stir the soup. Otherwise you’ll get a spoonful of extra-salty soup not representative of the potas a whole. Randomly sampling the population has the same effect as stirring the soup: you get a samplethat is representative of the population from which it was drawn. But the spoonful of soup doesn’t haveexactly the same proportion of salt as the rest of the pot: it contains the ”true” amount, plus or minus someamount due to chance. We call that chance variation from the true amount ”sampling error.” The larger thesample, the smaller that error is likely to be, though the marginal reduction in sampling error of increasingthe sample size by a unit declines as the number of units goes up.

Proper reporting of a sample-based estimate, therefore, requires three pieces of information: a ”pointestimate” (our best estimate of the actual value), plus a margin of error, given a particular confidence level(which allow assessment of the quality of the estimate): we are 90% confident that the pot of soup has 8,500milligrams of salt, plus or minus 500 milligrams. Holding a sample size constant, increasing the confidencelevel forces us to increase the margin of error (we would have to increase the size of the range to be 99%confident that our range contains the true value).

When applying this concept to the ACS, we should first note that the Census Bureau typically reportsa 90% confidence interval: we are 90% certain that the true number lies within the reported range. Whenlooking at counties or large cities, the samples are large and the confidence intervals small. But for smallercities and geographies such as census tracts, even the five-year pooled sample is quite small– yieldinga rather large confidence interval. When the confidence intervals for two areas overlap, we cannot tellwhether the difference we observed is real or an artifact caused by sampling error (or, to use the technicalterm, the differences are not ”statistically significant”).

Although you can simply add the raw population of two census tracts together, estimating the marginof error for the resultant area is somewhat more complicated. To estimate the margin of error for numbersand proportions, we follow the method recommended in Appendix 3 of the Census Bureau’s publicationA Compass for Understanding and Using American Community Survey Data: What General Data UsersNeed to Know. To estimate the margin of error for medians, we follow the method recommended on pages16-17 of 2005-2009 ACS 5-year PUMS Accuracy of the Data.

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What tables from the ACS were used to compile these Demograph ic Profiles?

SOCIALIndicators Table(s)Households by Type B11001Average Household Size B09019, B11001Relationship B09019Marital Status B12001Fertility B13002Grandparents B10050School Enrollment B14001Educational Attainment B15002Veteran Status B21001Disability Status B18101Residence 1 Year Ago B07003Place of Birth B05002Year of Entry, Native B05005World Region of Birth of Foreign Born B05006Language Spoken at Home B16004Ancestry B04006Computers and Interned Use B28002, B28003

ECONOMICIndicators Table(s)Employment Status B23001Employment for parents of Own Children B23008Commuting to Work B08101Mean Travel Time to Work B08013, B08101Occupation C24010Industry C24030Class of Worker B24080Household Income B19001Median Household Income B19013Mean Household Income B19025, B19001Households with Earnings B19051Mean Earnings B19061, B19051Households with Social Security B19055Mean Social Security B19065, B19055Households with Retirement Income B19059Mean Retirement Income B19069, B19059Households with SSI Income B19056Mean SSI Income B19066, B19056

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ECONOMICIndicators Table(s)Households with Public Assistance Income B19057Mean Public Assistance Income B19067, B19057Households with Food Stamp/SNAP Income B22001Family Income B19101Median Family Income B19113Mean Family Income B19127, B19101Per Capita Income B19313, B01001Median Non-Family Income B19202Mean Non-Family Income B19214, B19201Median Earnings for Workers B20017Health Insurance Coverage B18135, B27011Poverty: Families B17010Poverty: People B17001Poverty: Related Children B17006Poverty: Related People in Families B17021Poverty: Unrelated individuals 15 years and over B17007

HOUSINGIndicators Table(s)Housing Occupancy B25002Homeowner vacancy rate B25003, B25004Rental vacancy rate B25003, B25004Units in Structure B25024Year Structure Built B25034Rooms B25017Median Number of rooms B25018Bedrooms B25041Housing Tenure B25009Average Household size of occupied units B25008, B25003Year Householder Moved into Unit B25038Vehicles Available B25044House Heating Fuel B25040Selected Characteristics: Lacking Plumbing B25048Selected Characteristics: Lacking CompleteKitchen

B25052

Selected Characteristics: Lacking Telephone B25043Occupants per Room B25014Value of Housing Unit B25075Median housing unit value B25077Mortgage Status B25081

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HOUSINGIndicators Table(s)Selected Monthly Owner Costs B25087Median Selected Monthly Owner Costs B25088Selected Monthly Owner Costs as a Percentageof Household Income

B25091

Gross Rent B25063Median Gross Rent B25064Gross Rent as a Percentage of Household In-come

B25070

DEMOGRAPHICIndicators Table(s)Sex and Age B01001Median Age B01002Race C02003Tribal Groupings B02005Asian Groupings B02006Hawaiian and Pacific Islander Groupings B02007Race Alone or In Combination with One or MoreOther Races

B02008, B02009, B02010, B02011, B02012, B02013

Hispanic or Latino and Race B03001, B03002