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

Demographic Profile:Andersonville

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Contents

• Decennial 2010 Profile

• Technical Notes, Decennial Profile

• ACS 2013-17 Profile

• Technical Notes, ACS Profile

[This Page Intentionally Left Blank]

ANDERSONVILLE Decennial 2010 Profile

Sex and Age

15−19

75−79

80−84

85 and over

30−34

65−69

20−24

40−44

70−74

35−39

60−64

55−59

Under 5

5−9

50−54

25−29

45−49

10−14

20 10 0 10 20

Males

Females

Andersonville

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

2

Decennial 2010 Profile ANDERSONVILLE

Race and Latino Origin

61%

35%

3%1%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

Andersonville

56%30%

3%

9%2%

Non−Hispanic White

Non−Hispanic Black

Non−Hispanic Asian

Hispanic/Latino

Other

Georgia

3


Housing Tenure

18%

23%

28%

30%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

Andersonville

43%

15%

30%

12%

Owner−occupied with mortgage

Owner−occupied free and clear

Renter−occupied

Vacant

Georgia

4


Households by Type

41%

33%

27%

Husband−wife family

Single−headed family

Non−family

Andersonville

48%

21%

31%

Husband−wife family

Single−headed family

Non−family

Georgia

5


Children by Household Type

28%

48%

16%

8%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

Andersonville

57%28%

12%2%

Own parent(s), husband−wife family

Own parent, single−parent family

Other relative

Non−relative or group quarters

Georgia

6


SEX AND AGE Number PercentTotal population 255 100.0%

Under 5 years 19 7.5%5 to 9 years 16 6.3%10 to 14 years 22 8.6%15 to 19 years 6 2.4%20 to 24 years 18 7.1%25 to 29 years 20 7.8%30 to 34 years 12 4.7%35 to 39 years 12 4.7%40 to 44 years 15 5.9%45 to 49 years 26 10.2%50 to 54 years 17 6.7%55 to 59 years 16 6.3%60 to 64 years 15 5.9%65 to 69 years 12 4.7%70 to 74 years 13 5.1%75 to 79 years 8 3.1%80 to 84 years 5 2.0%85 years and over 3 1.2%

Median age (years) 42.2 (X)

16 years and over 196 76.9%18 years and over 194 76.1%21 years and over 186 72.9%62 years and over 49 19.2%65 years and over 41 16.1%

Male population 118 46.3%Under 5 years 9 3.5%5 to 9 years 5 2.0%10 to 14 years 8 3.1%15 to 19 years 4 1.6%20 to 24 years 11 4.3%25 to 29 years 8 3.1%30 to 34 years 6 2.4%35 to 39 years 5 2.0%40 to 44 years 8 3.1%45 to 49 years 14 5.5%50 to 54 years 6 2.4%55 to 59 years 8 3.1%60 to 64 years 7 2.7%65 to 69 years 5 2.0%70 to 74 years 6 2.4%75 to 79 years 6 2.4%80 to 84 years 2 0.8%85 years and over 0 0.0%


16 years and over 94 36.9%18 years and over 93 36.5%21 years and over 87 34.1%

Continued on next page...

7


SEX AND AGE (Continued) Number Percent62 years and over 23 9.0%65 years and over 19 7.5%

Female population 137 53.7%Under 5 years 10 3.9%5 to 9 years 11 4.3%10 to 14 years 14 5.5%15 to 19 years 2 0.8%20 to 24 years 7 2.7%25 to 29 years 12 4.7%30 to 34 years 6 2.4%35 to 39 years 7 2.7%40 to 44 years 7 2.7%45 to 49 years 12 4.7%50 to 54 years 11 4.3%55 to 59 years 8 3.1%60 to 64 years 8 3.1%65 to 69 years 7 2.7%70 to 74 years 7 2.7%75 to 79 years 2 0.8%80 to 84 years 3 1.2%85 years and over 3 1.2%


16 years and over 102 40.0%18 years and over 101 39.6%21 years and over 99 38.8%62 years and over 26 10.2%65 years and over 22 8.6%

RACE Number PercentTotal population 255 100.0%

One Race 251 98.4%White 155 60.8%Black or African American 90 35.3%American Indian and Alaska Native 4 1.6%Asian 0 0.0%

Asian Indian 0 0.0%Chinese 0 0.0%Filipino 0 0.0%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 2 0.8%Two or More Races 4 1.6%

White; American Indian and Alaska Native 3 1.2%White; Asian 0 0.0%White; Black or African American 0 0.0%White; Some Other Race 1 0.4%


8


RACE (Continued) Number PercentRace alone or in combination with one or more other races:White 159 62.4%Black or African American 90 35.3%American Indian and Alaska Native 7 2.7%Asian 0 0.0%Native Hawaiian and Other Pacific Islander 0 0.0%Some Other Race 3 1.2%

HISPANIC OR LATINO Number PercentTotal population 255 100.0%

Hispanic or Latino (of any race) 8 3.1%Mexican 4 1.6%Puerto Rican 1 0.4%Cuban 0 0.0%Other Hispanic or Latino 3 1.2%

Not Hispanic or Latino 247 96.9%

HISPANIC OR LATINO AND RACE Number PercentTotal population 255 100.0%

Hispanic or Latino 8 3.1%White alone 0 0.0%Black or African American alone 1 0.4%American Indian and Alaska Native alone 1 0.4%Asian alone 0 0.0%Native Hawaiian and Other Pacific Islander alone 0 0.0%Some Other Race alone 2 0.8%Two or More Races 4 1.6%

Not Hispanic or Latino 247 96.9%White alone 155 60.8%Black or African American alone 89 34.9%American Indian and Alaska Native alone 3 1.2%Asian alone 0 0.0%Native Hawaiian and Other Pacific Islander alone 0 0.0%Some Other Race alone 0 0.0%Two or More Races 0 0.0%

RELATIONSHIP Number PercentTotal population 255 100.0%

In households 255 100.0%Householder 98 38.4%Spouse 40 15.7%Child 76 29.8%

Own child under 18 years 46 18.0%Other relatives 21 8.2%

Under 18 years 10 3.9%65 years and over 2 0.8%

Nonrelatives 20 7.8%Under 18 years 5 2.0%65 years and over 1 0.4%

Unmarried partner 10 3.9%

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...

9


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

HOUSEHOLDS BY TYPE Number PercentTotal households 98 100.0%

Family households (families) 72 73.5%With own children under 18 years 25 25.5%

Husband-wife family 40 40.8%With own children under 18 years 10 10.2%

Male householder, no wife present 9 9.2%With own children under 18 years 4 4.1%

Female householder, no husband present 23 23.5%With own children under 18 years 11 11.2%

Nonfamily households 26 26.5%Householder living alone 21 21.4%

Male 9 9.2%65 years and over 2 2.0%

Female 12 12.2%65 years and over 5 5.1%

Households with individuals under 18 years 34 34.7%Households with individuals 65 years and over 29 29.6%

Average household size 2.60 (X)Average family size 2.90 (X)

HOUSING OCCUPANCY Number PercentTotal housing units 141 100.0%

Occupied housing units 98 69.5%Vacant housing units 43 30.5%

For rent 4 2.8%Rented, not occupied 1 0.7%For sale only 4 2.8%Sold, not occupied 0 0.0%For seasonal, recreational, or occasional use 4 2.8%All other vacants 30 21.3%

Homeowner vacancy rate (percent) 6.3 (X)Rental vacancy rate (percent) 9.1 (X)

HOUSING TENURE Number PercentOccupied housing units 98 100.0%

Owner-occupied housing units 59 60.2%Population in owner-occupied housing units 140 (X)Average household size of owner-occupied units 2.37 (X)

Renter-occupied housing units 39 39.8%Population in renter-occupied housing units 115 (X)Average household size of renter-occupied units 2.95 (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.

10

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

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.

ANDERSONVILLE ACS 2013-17 Profile

Percent without a High School Diploma or GED

0

20

40

60

80

100P

erce

nt

Andersonville Sumter County River Valley Georgia

Percent with a Bachelor’s Degree or Higher

0

20

40

60

80

100

Per

cent


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

2

ACS 2013-17 Profile ANDERSONVILLE

Percent Foreign-Born

0

20

40

60

80

100

Per

cent


Percent Speaking a Language other than English at Home

0

20

40

60

80

100

Per

cent



3


Percent Owner-Occupied

0

20

40

60

80

100P

erce

nt


Median Value of Owner-Occupied Housing Units

0

100,000

200,000

300,000

400,000

500,000

Dol

lars



4


Homeowner Vacancy Rate

0

20

40

60

80

100

Rat

e


Rental Vacancy Rate

0

20

40

60

80

100

Rat

e



5


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

0

20

40

60

80

100P

erce

nt


Percent of Housing Units Built Since 2000

0

20

40

60

80

100

Per

cent



6


Percent of Persons Living outside Home County 1 Year Earlier

0

20

40

60

80

100

Per

cent


Median Household Income

0

40,000

80,000

120,000

160,000

Dol

lars



7


Percent Civilian Unemployed

0

20

40

60

80

100P

erce

nt


Percent in Poverty

0

20

40

60

80

100

Per

cent



8


Selected Social Characteristics

HOUSEHOLDS BY TYPE Estimate Margin of Error Percent Margin of ErrorTotal households 82 ±31 82 (X)

Family households (families) 53 ±20 64.6% ±34.5With own children of the householder under 18 years 15 ±19 18.3% ±21.7

Married-couple family 29 ±14 35.4% ±10.6With own children of the householder under 18 years 10 ±12 12.2% ±13.9

Male householder, no wife present, family 5 ±8 6.1% ±9.5With own children of the householder under 18 years 0 ±13 0.0% ±15.9

Female householder, no husband present, family 19 ±11 23.2% ±10.2With own children of the householder under 18 years 5 ±6 6.1% ±6.9

Nonfamily households 29 ±22 35.4% ±23.3Householder living alone 26 ±22 31.7% ±24.065 years and over 7 ±8 8.5% ±9.2

Households with one or more people under 18 years 18 ±16 22.0% ±17.7Households with one or more people 65 years and over 38 ±18 46.3% ±13.2

Average household size 2.35 ±0.15 (X) (X)Average family size 2.91 ±1.47 (X) (X)

RELATIONSHIP Estimate Margin of Error Percent Margin of ErrorPopulation in households 193 ±74 193 (X)

Householder 82 ±30 42.5% ±22.4Spouse 34 ±19 17.6% ±7.2Child 59 ±35 30.6% ±13.8Other relatives 8 ±27 4.1% ±13.9Nonrelatives 10 ±9 5.2% ±4.5

Unmarried partner 9 ±9 4.7% ±4.6

MARITAL STATUS Estimate Margin of Error Percent Margin of ErrorMales 15 years and over 98 ±41 98 (X)

Never married 34 ±24 34.7% ±19.7Now married, except separated 35 ±23 35.7% ±18.1Separated 10 ±14 10.2% ±13.6Widowed 7 ±8 7.1% ±7.6Divorced 12 ±12 12.2% ±11.1

Females 15 years and over 65 ±28 65 (X)Never married 13 ±12 20.0% ±16.3Now married, except separated 28 ±20 43.1% ±24.3Separated 1 ±2 1.5% ±3.0Widowed 10 ±9 15.4% ±12.2Divorced 13 ±9 20.0% ±10.8

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

3 ±5 3 (X)

Unmarried women (widowed, divorced, and never married) 3 ±5 100.0% ±0.0Per 1,000 unmarried women 273 ±360 (X) (X)

Per 1,000 women 15 to 50 years old 115 ±175 (X) (X)Per 1,000 women 15 to 19 years old 0 ±9192 (X) (X)Per 1,000 women 20 to 34 years old 300 ±1300 (X) (X)Per 1,000 women 35 to 50 years old 0 ±1313 (X) (X)

9


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

5 ±6 5 (X)

Grandparents responsible for grandchildren 3 ±4 60.0% ±34.9Years responsible for grandchildren

Less than 1 year 0 ±18 0.0% ±367.71 or 2 years 1 ±2 20.0% ±32.03 or 4 years 0 ±13 0.0% ±260.05 or more years 2 ±3 40.0% ±36.0

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

3 ±4 3 (X)

Who are female 3 ±4 100.0% ±0.0Who are married 1 ±2 33.3% ±49.7

SCHOOL ENROLLMENT Estimate Margin of Error Percent Margin of ErrorPopulation 3 years and over enrolled in school 17 ±17 17 (X)

Nursery school, preschool 0 ±13 0.0% ±76.5Kindergarten 3 ±5 17.6% ±23.5Elementary school (grades 1-8) 7 ±7 41.2% ±5.9High school (grades 9-12) 4 ±8 23.5% ±40.8College or graduate school 3 ±15 17.6% ±85.0

EDUCATIONAL ATTAINMENT Estimate Margin of Error Percent Margin of ErrorPopulation 25 years and over 155 ±55 155 (X)

Less than 9th grade 19 ±22 12.3% ±13.79th to 12th grade, no diploma 32 ±27 20.6% ±16.1High school graduate (includes equivalency) 43 ±19 27.7% ±6.9Some college, no degree 39 ±26 25.2% ±13.9Associate’s degree 12 ±11 7.7% ±6.7Bachelor’s degree 8 ±7 5.2% ±3.9Graduate or professional degree 2 ±29 1.3% ±18.9

Percent high school graduate or higher 67.1% ±16.7 (X) (X)Percent bachelor’s degree or higher 6.5% ±19.3 (X) (X)

VETERAN STATUS Estimate Margin of Error Percent Margin of ErrorCivilian population 18 years and over 160 ±57 160 (X)

Civilian veterans 17 ±17 10.6% ±9.9

DISABILITY STATUS OF THE CIVILIAN NON-INSTITUTIONALIZED POPULATION

Estimate Margin of Error Percent Margin of Error

Total Civilian Noninstitutionalized Population 193 ±74 193 (X)With a disability 38 ±34 19.7% ±15.9

Under 18 years 33 ±24 33 (X)With a disability 0 ±26 0.0% ±78.8

18 to 64 years 109 ±40 109 (X)With a disability 20 ±19 18.3% ±15.7

65 years and over 51 ±21 51 (X)With a disability 18 ±11 35.3% ±17.4

10


RESIDENCE 1 YEAR AGO Estimate Margin of Error Percent Margin of ErrorPopulation 1 year and over 188 ±72 188 (X)

Same house 174 ±68 92.6% ±7.2Different house in the U.S. 12 ±18 6.4% ±9.3

Same county 2 ±4 1.1% ±2.1Different county 10 ±18 5.3% ±9.2Same state 10 ±12 5.3% ±6.0Different state 0 ±13 0.0% ±6.9

Abroad 2 ±3 1.1% ±1.5

PLACE OF BIRTH Estimate Margin of Error Percent Margin of ErrorTotal population 193 ±74 193 (X)

Native 190 ±73 98.4% ±2.4Born in United States 190 ±67 98.4% ±51.2State of residence 145 ±61 75.1% ±13.0Different state 45 ±27 23.3% ±10.8

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

0 ±13 0.0% ±6.7

Foreign born 3 ±6 1.6% ±3.1

U.S. CITIZENSHIP STATUS Estimate Margin of Error Percent Margin of ErrorForeign-born population 3 ±6 3 (X)

Naturalized U.S. citizen 0 ±13 0.0% ±433.3Not a U.S. citizen 3 ±6 100.0% ±0.0

YEAR OF ENTRY Estimate Margin of Error Percent Margin of ErrorPopulation born outside the United States 3 ±6 3 (X)

Native 0 ±26 0 (X)Entered 2010 or later 0 ±13 .% ±.Entered before 2010 0 ±23 .% ±.

Foreign born 3 ±6 3 (X)Entered 2010 or later 0 ±13 0.0% ±433.3Entered before 2010 3 ±19 100.0% ±612.8

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

3 ±6 3 (X)

Europe 0 ±13 0.0% ±433.3Asia 0 ±13 0.0% ±433.3Africa 3 ±6 100.0% ±0.0Oceania 0 ±13 0.0% ±433.3Latin America 0 ±13 0.0% ±433.3Northern America 0 ±13 0.0% ±433.3

LANGUAGE SPOKEN AT HOME Estimate Margin of Error Percent Margin of ErrorPopulation 5 years and over 173 ±64 173 (X)

English only 160 ±51 92.5% ±45.0Language other than English 13 ±41 7.5% ±23.8

Speak English less than ’very well’ 0 ±78 0.0% ±45.1Spanish 13 ±14 7.5% ±7.6Speak English less than ’very well’ 0 ±39 0.0% ±22.5

Other Indo-European languages 0 ±23 0.0% ±13.0Speak English less than ’very well’ 0 ±39 0.0% ±22.5

Asian and Pacific Islander languages 0 ±23 0.0% ±13.0Speak English less than ’very well’ 0 ±39 0.0% ±22.5

Other languages 0 ±23 0.0% ±13.0Speak English less than ’very well’ 0 ±39 0.0% ±22.5

11


ANCESTRY Estimate Margin of Error Percent Margin of ErrorTotal population 193 ±74 193 (X)

American 43 ±40 22.3% ±18.9Arab 0 ±13 0.0% ±6.7Czech 0 ±13 0.0% ±6.7Danish 0 ±13 0.0% ±6.7Dutch 0 ±13 0.0% ±6.7English 11 ±13 5.7% ±6.4French (except Basque) 0 ±13 0.0% ±6.7French Canadian 0 ±13 0.0% ±6.7German 7 ±7 3.6% ±3.3Greek 0 ±13 0.0% ±6.7Hungarian 0 ±13 0.0% ±6.7Irish 10 ±9 5.2% ±4.2Italian 0 ±13 0.0% ±6.7Lithuanian 0 ±13 0.0% ±6.7Norwegian 0 ±13 0.0% ±6.7Polish 0 ±13 0.0% ±6.7Portuguese 0 ±13 0.0% ±6.7Russian 0 ±13 0.0% ±6.7Scotch-Irish 5 ±7 2.6% ±3.5Scottish 0 ±13 0.0% ±6.7Slovak 0 ±13 0.0% ±6.7Subsaharan African 3 ±6 1.6% ±3.1Swedish 0 ±13 0.0% ±6.7Swiss 0 ±13 0.0% ±6.7Ukranian 0 ±13 0.0% ±6.7Welsh 0 ±13 0.0% ±6.7West Indian (excluding Hispanic origin groups) 3 ±5 1.6% ±2.5

COMPUTERS AND INTERNET USE Estimate Margin of Error Percent Margin of ErrorTotal Households 82 ±31 82 (X)

With a computer 60 ±30 73.2% ±23.9With a broadband Internet subscription 35 ±19 42.7% ±16.6

12


Selected Economic Characteristics

EMPLOYMENT STATUS Estimate Margin of Error Percent Margin of ErrorPopulation 16 years and over 162 ±60 162 (X)

In labor force 84 ±54 51.9% ±27.4Civilian labor force 84 ±54 51.9% ±27.4Employed 70 ±55 43.2% ±29.8Unemployed 14 ±59 8.6% ±36.3

Armed Forces 0 ±58 0.0% ±35.9Not in labor force 78 ±47 48.1% ±22.8

Civilian labor force 84 ±54 84 (X)Unemployment Rate 16.7% ±69.4 (X) (X)

Females 16 years and over 65 ±28 65 (X)In labor force 28 ±30 43.1% ±42.6

Civilian labor force 28 ±30 43.1% ±42.6Employed 24 ±35 36.9% ±50.9

own children of the householder under 6 years 21 ±23 21 (X)All parents in family in labor force 17 ±26 81.0% ±83.1

own children of the householder 6 to 17 years 12 ±11 12 (X)All parents in family in labor force 8 ±16 66.7% ±116.4

13


COMMUTING TO WORK Estimate Margin of Error Percent Margin of ErrorWorkers 16 years and over 68 ±39 68 (X)

Car, truck, or van – drove alone 45 ±30 66.2% ±22.5Car, truck, or van – carpooled 8 ±10 11.8% ±13.1Public transportation (excluding taxicab) 1 ±3 1.5% ±4.3Walked 4 ±8 5.9% ±11.3Other means 0 ±13 0.0% ±19.1Worked at home 10 ±16 14.7% ±22.0

Mean travel time to work (minutes) 22.2 ±22.2 (X) (X)

OCCUPATION Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 70 ±55 70 (X)

Management, business, science, and arts occupations 10 ±9 14.3% ±4.9Service occupations 11 ±14 15.7% ±16.3Sales and office occupations 17 ±13 24.3% ±26.1Natural resources, construction, and maintenance occupa-tions

13 ±21 18.6% ±26.9

Production, transportation, and material moving occupations 19 ±17 27.1% ±10.4

INDUSTRY Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 70 ±55 70 (X)

Agriculture, forestry, fishing and hunting, and mining 0 ±18 0.0% ±26.3Construction 13 ±21 18.6% ±26.9Manufacturing 15 ±21 21.4% ±24.2Wholesale trade 3 ±14 4.3% ±19.6Retail trade 7 ±7 10.0% ±6.7Transportation and warehousing, and utilities 3 ±14 4.3% ±19.1Information 1 ±13 1.4% ±18.8Finance and insurance, and real estate and rental and leasing 0 ±18 0.0% ±26.3Professional, scientific, and management, and administrativeand waste management services

4 ±15 5.7% ±26.3

Educational services, and health care and social assistance 13 ±18 18.6% ±26.3Arts, entertainment, and recreation, and accommodation andfood services

2 ±13 2.9% ±18.9

Other services, except public administration 2 ±13 2.9% ±18.7Public administration 7 ±9 10.0% ±11.1

CLASS OF WORKER Estimate Margin of Error Percent Margin of ErrorCivilian employed population 16 years and over 70 ±55 70 (X)

Private wage and salary workers 47 ±27 67.1% ±65.5Government workers 12 ±21 17.1% ±27.2Self-employed in own not incorporated business workers 11 ±21 15.7% ±26.8Unpaid family workers 0 ±18 0.0% ±26.3

14


INCOME AND BENEFITS (IN 2017 INFLATION-ADJUSTEDDOLLARS)


Total households 82 ±31 82 (X)Less than $10,000 16 ±12 19.5% ±12.6$10,000 to $14,999 0 ±13 0.0% ±15.9$15,000 to $24,999 15 ±11 18.3% ±11.2$25,000 to $34,999 18 ±13 22.0% ±12.8$35,000 to $49,999 20 ±18 24.4% ±12.8$50,000 to $74,999 1 ±13 1.2% ±12.8$75,000 to $99,999 9 ±9 11.0% ±10.2$100,000 to $149,999 3 ±14 3.7% ±16.5$150,000 to $199,999 0 ±13 0.0% ±15.9$200,000 or more 0 ±13 0.0% ±15.9Median household income (dollars) 28,750 ±9,537 (X) (X)Mean household income (dollars) 34,904 ±9,387 (X) (X)

With earnings 48 ±30 58.5% ±29.1Mean earnings (dollars) 35,227 ±13,402 (X) (X)

With Social Security 40 ±18 48.8% ±11.9Mean Social Security income (dollars) 18,980 ±3,623 (X) (X)

With retirement income 12 ±7 14.6% ±6.5Mean retirement income (dollars) 12,983 ±6,783 (X) (X)

With Supplemental Security Income 5 ±5 6.1% ±5.6Mean Supplemental Security Income (dollars) 7,360 ±6,936 (X) (X)

With cash public assistance income 3 ±3 3.7% ±3.4Mean cash public assistance income (dollars) . ±. (X) (X)

With Food Stamp/SNAP benefits in the past 12 months 27 ±14 32.9% ±11.7

Families 53 ±20 53 (X)Less than $10,000 10 ±8 18.9% ±13.3$10,000 to $14,999 0 ±13 0.0% ±24.5$15,000 to $24,999 7 ±16 13.2% ±29.4$25,000 to $34,999 15 ±10 28.3% ±15.6$35,000 to $49,999 11 ±8 20.8% ±12.5$50,000 to $74,999 1 ±13 1.9% ±25.2$75,000 to $99,999 8 ±9 15.1% ±16.0$100,000 to $149,999 1 ±13 1.9% ±25.2$150,000 to $199,999 0 ±13 0.0% ±24.5$200,000 or more 0 ±13 0.0% ±24.5Median family income (dollars) 32,708 ±8,903 (X) (X)Mean family income (dollars) 37,900 ±12,053 (X) (X)

Per capita income (dollars) 15,445 ±1,815 (X) (X)

Nonfamily households 29 ±22 29 (X)Median nonfamily income (dollars) . ±. (X) (X)Mean nonfamily income (dollars) 26,831 ±11,171 (X) (X)

Median earnings for workers (dollars) 20,208 ±3,392 (X) (X)Median earnings for male full-time, year-round workers (dol-lars)

21,625 ±10,135 (X) (X)

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

26,250 ±16,506 (X) (X)

15


HEALTH INSURANCE COVERAGE Estimate Margin of Error Percent Margin of ErrorCivilian noninstitutionalized population 193 ±74 193 (X)With health insurance coverage 151 ±50 78.2% ±39.7With private health insurance 74 ±41 38.3% ±15.3With public coverage 96 ±33 49.7% ±25.7No health insurance coverage 42 ±33 21.8% ±14.8

Civilian noninstitutionalized population under 1 years 33 ±27 33 (X)No health insurance coverage 4 ±15 12.1% ±43.6

Civilian noninstitutionalized population 19 to 64 years 109 ±46 109 (X)In labor force: 70 ±42 70 (X)Employed: 57 ±37 57 (X)With health insurance coverage 42 ±31 73.7% ±25.9With private health insurance 42 ±31 73.7% ±25.9With public coverage 0 ±13 0.0% ±22.8No health insurance coverage 15 ±12 26.3% ±12.3

Unemployed: 13 ±16 13 (X)With health insurance coverage 1 ±4 7.7% ±29.3With private health insurance 1 ±4 7.7% ±29.3With public coverage 1 ±4 7.7% ±29.3No health insurance coverage 12 ±16 92.3% ±47.3

Not in labor force: 39 ±18 39 (X)With health insurance coverage 28 ±13 71.8% ±3.6With private health insurance 1 ±2 2.6% ±5.0With public coverage 27 ±13 69.2% ±9.5No health insurance coverage 11 ±9 28.2% ±19.1

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


All families 20.8% ±12.9 (X) (X)With related children of the householder under 18 years 27.8% ±101.2 (X) (X)With related children of the householder under 5 years

only50.0% ±167.7 (X) (X)

Married couple families 10.3% ±9.0 (X) (X)With related children of the householder under 18 years 0.0% ±130.0 (X) (X)With related children of the householder under 5 years

only0.0% ±325.0 (X) (X)

Families with female householder, no husband present 42.1% ±33.8 (X) (X)With related children of the householder under 18 years 62.5% ±60.7 (X) (X)With related children of the householder under 5 years

only100.0% ±388.1 (X) (X)

All people 24.9% ±14.2 (X) (X)Under 18 years 36.4% ±100.4 (X) (X)

related children of the householder under 18 years 36.4% ±25.8 (X) (X)related children of the householder under 5 years 45.0% ±77.9 (X) (X)related children of the householder 5 to 17 years 23.1% ±189.9 (X) (X)

18 years and over 22.5% ±14.1 (X) (X)18 to 64 years 23.9% ±19.1 (X) (X)65 years and over 19.6% ±16.9 (X) (X)

People in families 24.0% ±18.0 (X) (X)Unrelated individuals 15 years and over 28.2% ±28.5 (X) (X)

16


Selected Housing Characteristics

HOUSING OCCUPANCY Estimate Margin of Error Percent Margin of ErrorTotal housing units 130 ±36 130 (X)

Occupied housing units 82 ±31 63.1% ±16.2Vacant housing units 48 ±24 36.9% ±15.4

Homeowner vacancy rate 0.0 ±29.5 (X) (X)Rental vacancy rate 9.8 ±12.6 (X) (X)

UNITS IN STRUCTURE Estimate Margin of Error Percent Margin of ErrorTotal housing units 130 ±36 130 (X)

1-unit, detached 57 ±21 43.8% ±10.71-unit, attached 0 ±13 0.0% ±10.02 units 16 ±12 12.3% ±8.63 or 4 units 0 ±13 0.0% ±10.05 to 9 units 1 ±3 0.8% ±2.310 to 19 units 0 ±13 0.0% ±10.020 or more units 0 ±18 0.0% ±14.1Mobile home 56 ±25 43.1% ±15.1Boat, RV, van, etc. 0 ±13 0.0% ±10.0

YEAR STRUCTURE BUILT Estimate Margin of Error Percent Margin of ErrorTotal housing units 130 ±36 130 (X)

Built 2014 or later 0 ±13 0.0% ±10.0Built 2010 to 2013 11 ±11 8.5% ±8.1Built 2000 to 2009 2 ±3 1.5% ±2.3Built 1990 to 1999 19 ±11 14.6% ±2.3Built 1980 to 1989 25 ±21 19.2% ±15.3Built 1970 to 1979 38 ±17 29.2% ±10.3Built 1960 to 1969 9 ±8 6.9% ±5.8Built 1950 to 1959 7 ±9 5.4% ±6.8Built 1940 to 1949 0 ±13 0.0% ±10.0Built 1939 or earlier 19 ±14 14.6% ±10.0

ROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 130 ±36 130 (X)

1 room 2 ±3 1.5% ±2.32 rooms 0 ±13 0.0% ±10.03 rooms 9 ±11 6.9% ±8.24 rooms 19 ±14 14.6% ±10.05 rooms 24 ±19 18.5% ±13.76 rooms 38 ±21 29.2% ±14.07 rooms 16 ±11 12.3% ±7.78 rooms 14 ±10 10.8% ±7.19 rooms or more 8 ±9 6.2% ±6.7Median rooms 5.8 ±0.4 (X) (X)

BEDROOMS Estimate Margin of Error Percent Margin of ErrorTotal housing units 130 ±36 130 (X)

No bedroom 2 ±3 1.5% ±2.31 bedroom 8 ±10 6.2% ±7.52 bedrooms 41 ±22 31.5% ±14.53 bedrooms 63 ±26 48.5% ±14.84 bedrooms 16 ±12 12.3% ±8.65 or more bedrooms 0 ±13 0.0% ±10.0

17


HOUSING TENURE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

Owner-occupied 44 ±15 53.7% ±27.3Renter-occupied 38 ±26 46.3% ±26.4

Average household size of owner-occupied unit 2.07 ±0.37 (X) (X)Average household size of renter-occupied unit 2.68 ±2.42 (X) (X)

YEAR HOUSEHOLDER MOVED INTO UNIT Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

Moved in 2015 or later 5 ±7 6.1% ±8.6Moved in 2010 to 2014 27 ±21 32.9% ±22.9Moved in 2000 to 2009 20 ±13 24.4% ±13.5Moved in 1990 to 1999 7 ±14 8.5% ±17.2Moved in 1980 to 1989 17 ±13 20.7% ±13.5Moved in 1979 or earlier 6 ±15 7.3% ±17.8

VEHICLES AVAILABLE Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

No vehicles available 9 ±9 11.0% ±10.41 vehicle available 16 ±12 19.5% ±12.92 vehicles available 39 ±20 47.6% ±16.93 or more vehicles available 18 ±26 22.0% ±31.1

HOUSE HEATING FUEL Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

Utility gas 27 ±13 32.9% ±9.8Bottled, tank, or LP gas 3 ±5 3.7% ±5.9Electricity 51 ±32 62.2% ±31.1Fuel oil, kerosene, etc. 1 ±2 1.2% ±2.4Coal or coke 0 ±13 0.0% ±15.9Wood 0 ±13 0.0% ±15.9Solar energy 0 ±13 0.0% ±15.9Other fuel 0 ±13 0.0% ±15.9No fuel used 0 ±13 0.0% ±15.9

SELECTED CHARACTERISTICS Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

Lacking complete plumbing facilities 0 ±13 0.0% ±15.9Lacking complete kitchen facilities 0 ±13 0.0% ±15.9No telephone service available 2 ±4 2.4% ±4.3

OCCUPANTS PER ROOM Estimate Margin of Error Percent Margin of ErrorOccupied housing units 82 ±31 82 (X)

1.00 or less 80 ±28 97.6% ±50.61.01 to 1.50 0 ±18 0.0% ±22.41.51 or more 2 ±23 2.4% ±27.7

VALUE Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 44 ±15 44 (X)

Less than $50,000 21 ±18 47.7% ±38.8$50,000 to $99,999 12 ±15 27.3% ±33.7$100,000 to $149,999 6 ±6 13.6% ±12.4$150,000 to $199,999 1 ±13 2.3% ±30.3$200,000 to $299,999 4 ±6 9.1% ±12.9$300,000 to $499,999 0 ±18 0.0% ±41.8$500,000 to $999,999 0 ±18 0.0% ±41.8$1,000,000 or more 0 ±23 0.0% ±51.2Median (dollars) 55,000 ±23,183 (X) (X)

18


MORTGAGE STATUS Estimate Margin of Error Percent Margin of ErrorOwner-occupied units 44 ±15 44 (X)

Housing units with a mortgage 9 ±7 20.5% ±14.3Housing units without a mortgage 35 ±15 79.5% ±20.7

SELECTED MONTHLY OWNER COSTS (SMOC) Estimate Margin of Error Percent Margin of ErrorHousing units with a mortgage 9 ±7 9 (X)

Less than $500 0 ±26 0.0% ±288.9$500 to $999 8 ±23 88.9% ±250.7$1,000 to $1,499 0 ±18 0.0% ±204.3$1,500 to $1,999 1 ±3 11.1% ±32.2$2,000 to $2,499 0 ±13 0.0% ±144.4$2,500 to $2,999 0 ±13 0.0% ±144.4$3,000 or more 0 ±23 0.0% ±250.2Median (dollars) 730 ±112 (X) (X)

Housing units without a mortgage 35 ±15 35 (X)Less than $250 9 ±16 25.7% ±45.0$250 to $399 8 ±8 22.9% ±19.6$400 to $599 16 ±9 45.7% ±17.6$600 to $799 2 ±14 5.7% ±38.8$800 to $999 0 ±18 0.0% ±52.5$1,000 or more 0 ±32 0.0% ±91.0Median (dollars) 405 ±71 (X) (X)

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


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

9 ±30 9 (X)

Less than 20.0 percent 8 ±7 88.9% ±304.620.0 to 24.9 percent 0 ±13 0.0% ±144.425.0 to 29.9 percent 0 ±13 0.0% ±144.430.0 to 34.9 percent 0 ±13 0.0% ±144.435.0 percent or more 1 ±19 11.1% ±203.6

Not computed 0 ±13 (X) (X)

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

35 ±28 35 (X)

Less than 10.0 percent 11 ±9 31.4% ±7.010.0 to 14.9 percent 8 ±9 22.9% ±18.415.0 to 19.9 percent 6 ±6 17.1% ±10.620.0 to 24.9 percent 1 ±3 2.9% ±8.325.0 to 29.9 percent 0 ±13 0.0% ±37.130.0 to 34.9 percent 0 ±13 0.0% ±37.135.0 percent or more 9 ±15 25.7% ±36.6


GROSS RENT Estimate Margin of Error Percent Margin of ErrorOccupied units paying rent 24 ±20 24 (X)

Less than $500 9 ±40 37.5% ±164.1$500 to $999 7 ±33 29.2% ±134.4$1,000 to $1,499 8 ±15 33.3% ±57.2$1,500 to $1,999 0 ±13 0.0% ±54.2$2,000 to $2,499 0 ±13 0.0% ±54.2$2,500 to $2,999 0 ±13 0.0% ±54.2$3,000 or more 0 ±18 0.0% ±76.6Median (dollars) 675 ±438 (X) (X)

No rent paid 14 ±13 (X) (X)

19


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


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

21 ±26 21 (X)

Less than 15.0 percent 9 ±21 42.9% ±82.215.0 to 19.9 percent 0 ±13 0.0% ±61.920.0 to 24.9 percent 1 ±3 4.8% ±13.025.0 to 29.9 percent 3 ±5 14.3% ±15.730.0 to 34.9 percent 1 ±4 4.8% ±18.135.0 percent or more 7 ±7 33.3% ±53.5


20


Selected Demographic Characteristics

SEX AND AGE Estimate Margin of Error Percent Margin of ErrorTotal Population 193 ±74 193 (X)

Male 120 ±47 62.2% ±5.0Female 73 ±35 37.8% ±10.9Sex ratio (males per 100 females) 164.4 ±101.8 (X) (X)

Under 5 years 20 ±21 10.4% ±9.95 to 9 years 7 ±7 3.6% ±3.410 to 14 years 3 ±4 1.6% ±1.815 to 19 years 5 ±15 2.6% ±7.720 to 24 years 3 ±26 1.6% ±13.725 to 34 years 21 ±17 10.9% ±7.935 to 44 years 16 ±18 8.3% ±8.945 to 54 years 46 ±30 23.8% ±12.455 to 59 years 8 ±6 4.1% ±2.960 to 64 years 13 ±8 6.7% ±3.665 to 74 years 33 ±20 17.1% ±8.375 to 84 years 18 ±12 9.3% ±4.885 years and over 0 ±18 0.0% ±9.5

Median age (years) 48.6 ±6.4 (X) (X)

Under 18 years 33 ±23 17.1% ±9.916 years and over 162 ±60 83.9% ±44.718 years and over 160 ±58 82.9% ±43.821 years and over 157 ±55 81.3% ±42.362 years and over 56 ±30 29.0% ±11.065 years and over 51 ±30 26.4% ±11.7

18 years and over 160 ±58 160 (X)Male 97 ±47 60.6% ±19.8Female 63 ±34 39.4% ±15.6Sex ratio (males per 100 females) 154.0 ±111.9 (X) (X)

65 years and over 51 ±30 51 (X)Male 27 ±23 52.9% ±33.1Female 24 ±19 47.1% ±24.8Sex ratio (males per 100 females) 112.5 ±38.0 (X) (X)

21


RACE Estimate Margin of Error Percent Margin of ErrorTotal population 193 ±74 193 (X)

One race 189 ±73 97.9% ±4.6Two or more races 4 ±6 2.1% ±3.0One race 189 ±73 97.9% ±4.6

White 117 ±55 60.6% ±16.5Black or African American 70 ±41 36.3% ±16.1American Indian and Alaska Native 0 ±13 0.0% ±6.7Cherokee tribal grouping 0 ±13 0.0% ±6.7Chippewa tribal grouping 0 ±13 0.0% ±6.7Navajo tribal grouping 0 ±13 0.0% ±6.7Sioux tribal grouping 0 ±13 0.0% ±6.7

Asian 0 ±13 0.0% ±6.7Asian Indian 0 ±13 0.0% ±6.7Chinese 0 ±18 0.0% ±9.5Filipino 0 ±13 0.0% ±6.7Japanese 0 ±13 0.0% ±6.7Korean 0 ±13 0.0% ±6.7Vietnamese 0 ±13 0.0% ±6.7Other Asian 0 ±54 0.0% ±27.8

Native Hawaiian and Other Pacific Islander 0 ±13 0.0% ±6.7Native Hawaiian 0 ±13 0.0% ±6.7Guamanian or Chamorro 0 ±13 0.0% ±6.7Samoan 0 ±13 0.0% ±6.7Other Pacific Islander 0 ±37 0.0% ±19.1

Some other race 2 ±5 1.0% ±2.6Two or more races 4 ±6 2.1% ±3.0

White and Black or African American 0 ±13 0.0% ±6.7White and American Indian and Alaska Native 0 ±13 0.0% ±6.7White and Asian 0 ±13 0.0% ±6.7Black or African American and American Indian andAlaska Native

0 ±13 0.0% ±6.7

Race alone or in combination with one or more other racesTotal population 193 ±74 193 (X)

White 117 ±55 60.6% ±16.5Black or African American 74 ±41 38.3% ±15.3American Indian and Alaska Native 0 ±13 0.0% ±6.7Asian 0 ±13 0.0% ±6.7Native Hawaiian and Other Pacific Islander 0 ±13 0.0% ±6.7Some other race 6 ±8 3.1% ±4.0

HISPANIC OR LATINO AND RACE Estimate Margin of Error Percent Margin of ErrorTotal population 193 ±74 193 (X)

Hispanic or Latino (of any race) 17 ±23 8.8% ±11.4Mexican 13 ±22 6.7% ±11.1Puerto Rican 4 ±6 2.1% ±3.0Cuban 0 ±13 0.0% ±6.7Other Hispanic or Latino 0 ±26 0.0% ±13.5

Not Hispanic or Latino 176 ±67 91.2% ±49.3White alone 106 ±47 54.9% ±12.2Black or African American alone 70 ±41 36.3% ±16.1American Indian and Alaska Native alone 0 ±13 0.0% ±6.7Asian alone 0 ±13 0.0% ±6.7Native Hawaiian and Other Pacific Islander alone 0 ±13 0.0% ±6.7Some other race alone 0 ±13 0.0% ±6.7Two or more races 0 ±13 0.0% ±6.7Two races including Some other race 0 ±13 0.0% ±6.7Two races excluding Some other race, and 0 ±13 0.0% ±6.7Three or more races

22


CITIZEN, VOTING AGE POPULATION Estimate Margin of Error Percent Margin of ErrorCitizen, 18 and over population 157 ±50 157 (X)

Male 97 ±42 61.8% ±18.1Female 60 ±27 38.2% ±12.4

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.

23

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.

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.

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


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


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

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

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