Ailey

Transcription

Ailey

Demographic Profile:
Ailey
[This Page Intentionally Left Blank]
Contents
• Decennial 2010 Profile
• Technical Notes, Decennial Profile
• ACS 2010-14 Profile
• Technical Notes, ACS Profile
[This Page Intentionally Left Blank]
AILEY
Decennial 2010 Profile
Sex and Age
Ailey
Males
Females
85 and over
80−84
75−79
70−74
65−69
60−64
55−59
50−54
45−49
40−44
35−39
30−34
25−29
20−24
15−19
10−14
5−9
Under 5
20
0
20
40
60
Georgia
85 and over
Males
80−84
Females
75−79
70−74
65−69
60−64
55−59
50−54
45−49
40−44
35−39
30−34
25−29
20−24
15−19
10−14
5−9
Under 5
400,000
200,000
0
2
200,000
400,000
AILEY
Race and Latino Origin
Ailey
0%4%1%
Non−Hispanic White
34%
Non−Hispanic Black
Non−Hispanic Asian
Hispanic/Latino
61%
Other
Georgia
9%
2%
3%
Non−Hispanic White
Non−Hispanic Black
Non−Hispanic Asian
56%
30%
Hispanic/Latino
Other
3
AILEY
Housing Tenure
Ailey
21%
23%
Owner−occupied with mortgage
Owner−occupied free and clear
Renter−occupied
Vacant
24%
31%
Georgia
12%
43%
Owner−occupied with mortgage
Owner−occupied free and clear
Renter−occupied
30%
Vacant
15%
4
AILEY
Households by Type
Ailey
29%
Husband−wife family
50%
Single−headed family
Non−family
21%
Georgia
31%
Husband−wife family
48%
Single−headed family
Non−family
21%
5
AILEY
Children by Household Type
Ailey
2%
16%
Own parent(s), husband−wife family
Own parent, single−parent family
51%
Other relative
Non−relative or group quarters
30%
Georgia
2%
12%
Own parent(s), husband−wife family
Own parent, single−parent family
Other relative
28%
57%
6
Non−relative or group quarters
AILEY
SEX AND AGE
Total population
Under 5 years
5 to 9 years
10 to 14 years
15 to 19 years
20 to 24 years
25 to 29 years
30 to 34 years
35 to 39 years
40 to 44 years
45 to 49 years
50 to 54 years
55 to 59 years
60 to 64 years
65 to 69 years
70 to 74 years
75 to 79 years
80 to 84 years
85 years and over
Number
432
20
26
29
63
50
21
19
16
19
24
16
29
37
17
20
9
9
8
Percent
100.0%
4.6%
6.0%
6.7%
14.6%
11.6%
4.9%
4.4%
3.7%
4.4%
5.6%
3.7%
6.7%
8.6%
3.9%
4.6%
2.1%
2.1%
1.9%
Median age (years)
32.0
(X)
16 years and over
18 years and over
21 years and over
62 years and over
65 years and over
354
340
279
85
63
81.9%
78.7%
64.6%
19.7%
14.6%
Male population
Under 5 years
5 to 9 years
10 to 14 years
15 to 19 years
20 to 24 years
25 to 29 years
30 to 34 years
35 to 39 years
40 to 44 years
45 to 49 years
50 to 54 years
55 to 59 years
60 to 64 years
65 to 69 years
70 to 74 years
75 to 79 years
80 to 84 years
85 years and over
167
8
14
15
12
4
10
7
7
13
12
8
13
16
9
9
3
6
1
38.7%
1.9%
3.2%
3.5%
2.8%
0.9%
2.3%
1.6%
1.6%
3.0%
2.8%
1.9%
3.0%
3.7%
2.1%
2.1%
0.7%
1.4%
0.2%
Median age (years)
42.3
(X)
16 years and over
18 years and over
21 years and over
128
29.6%
121
28.0%
118
27.3%
Continued on next page...
7
AILEY
SEX AND AGE (Continued)
62 years and over
65 years and over
Number
39
28
Percent
9.0%
6.5%
Female population
Under 5 years
5 to 9 years
10 to 14 years
15 to 19 years
20 to 24 years
25 to 29 years
30 to 34 years
35 to 39 years
40 to 44 years
45 to 49 years
50 to 54 years
55 to 59 years
60 to 64 years
65 to 69 years
70 to 74 years
75 to 79 years
80 to 84 years
85 years and over
265
12
12
14
51
46
11
12
9
6
12
8
16
21
8
11
6
3
7
61.3%
2.8%
2.8%
3.2%
11.8%
10.6%
2.5%
2.8%
2.1%
1.4%
2.8%
1.9%
3.7%
4.9%
1.9%
2.5%
1.4%
0.7%
1.6%
Median age (years)
24.4
(X)
16 years and over
18 years and over
21 years and over
62 years and over
65 years and over
226
219
161
46
35
52.3%
50.7%
37.3%
10.6%
8.1%
RACE
Number
Percent
432
100.0%
429
99.3%
272
63.0%
148
34.3%
0
0.0%
1
0.2%
0
0.0%
0
0.0%
1
0.2%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
0
0.0%
8
1.9%
3
0.7%
3
0.7%
0
0.0%
0
0.0%
0
0.0%
Total population
One Race
White
Black or African American
American Indian and Alaska Native
Asian
Asian Indian
Chinese
Filipino
Japanese
Korean
Vietnamese
Other Asian
Native Hawaiian and Other Pacific Islander
Native Hawaiian
Guamanian or Chamorro
Samoan
Other Pacific Islander
Some Other Race
Two or More Races
White; American Indian and Alaska Native
White; Asian
White; Black or African American
White; Some Other Race
8
AILEY
RACE (Continued)
Race alone or in combination with one or more other races:
White
Asian
Some Other Race
Number
275
148
3
1
0
8
63.7%
34.3%
0.7%
0.2%
0.0%
1.9%
HISPANIC OR LATINO
Total population
Hispanic or Latino (of any race)
Mexican
Puerto Rican
Cuban
Other Hispanic or Latino
Not Hispanic or Latino
Number
432
16
8
0
1
7
416
Percent
100.0%
3.7%
1.9%
0.0%
0.2%
1.6%
96.3%
HISPANIC OR LATINO AND RACE
Total population
Hispanic or Latino
White alone
Black or African American alone
American Indian and Alaska Native alone
Asian alone
Native Hawaiian and Other Pacific Islander alone
Some Other Race alone
Two or More Races
White alone
Asian alone
Some Other Race alone
Two or More Races
Number
432
16
7
1
0
0
0
8
0
416
265
147
0
1
0
0
3
Percent
100.0%
3.7%
1.6%
0.2%
0.0%
0.0%
0.0%
1.9%
0.0%
96.3%
61.3%
34.0%
0.0%
0.2%
0.0%
0.0%
0.7%
RELATIONSHIP
Total population
In households
Householder
Spouse
Child
Own child under 18 years
Other relatives
Under 18 years
65 years and over
Nonrelatives
Under 18 years
65 years and over
Number
432
349
139
70
103
75
30
15
4
7
2
1
Percent
100.0%
80.8%
32.2%
16.2%
23.8%
17.4%
6.9%
3.5%
0.9%
1.6%
0.5%
0.2%
3
0.7%
Unmarried partner
In group quarters
Institutionalized population
Male
Female
Noninstitutionalized population
Percent
83
19.2%
0
0.0%
0
0.0%
0
0.0%
83
19.2%
9
AILEY
RELATIONSHIP (Continued)
Male
Female
Number
1
82
Percent
0.2%
19.0%
HOUSEHOLDS BY TYPE
Total households
Family households (families)
With own children under 18 years
Husband-wife family
Male householder, no wife present
Female householder, no husband present
Nonfamily households
Householder living alone
Male
65 years and over
Female
65 years and over
Number
139
99
37
70
26
10
3
19
8
40
38
12
5
26
11
Percent
100.0%
71.2%
26.6%
50.4%
18.7%
7.2%
2.2%
13.7%
5.8%
28.8%
27.3%
8.6%
3.6%
18.7%
7.9%
48
47
34.5%
33.8%
2.51
3.05
(X)
(X)
Number
176
139
37
5
0
3
1
7
21
Percent
100.0%
79.0%
21.0%
2.8%
0.0%
1.7%
0.6%
4.0%
11.9%
3.0
10.4
(X)
(X)
Number
139
96
220
2.29
43
129
3.00
Percent
100.0%
69.1%
(X)
(X)
30.9%
(X)
(X)
Households with individuals under 18 years
Households with individuals 65 years and over
Average household size
Average family size
HOUSING OCCUPANCY
Total housing units
Occupied housing units
Vacant housing units
For rent
Rented, not occupied
For sale only
Sold, not occupied
For seasonal, recreational, or occasional use
All other vacants
Homeowner vacancy rate (percent)
Rental vacancy rate (percent)
HOUSING TENURE
Owner-occupied housing units
Population in owner-occupied housing units
Average household size of owner-occupied units
Renter-occupied housing units
Population in renter-occupied housing units
Average household size of renter-occupied units
Notes:
∞
Data could not be computed (see Technical Notes).
Report prepared by Emory University’s Policy Analysis Laboratory and
Terra 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 Population and Housing. These profiles follow precisely the order, format, and content of the DP-1 profiles available via the Census
Bureaus American Fact Finder online system.
Why is there so much less data in this report than in the 2000 Demographic 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 questionnaire.
A longer answer involves a bit of history to understand recent changes in how the Census Bureau collects 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 the House of Representatives. But
the only constitutional requirement is the count itself; the government has long seen fit to gather other data about the
nation as an add-on to this process. Indeed, from 1940 until 2000, the Census Bureau actually conducted a census
(counting of the entire population) simultaneously with 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 to a sample 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 a new ”continuous
measurement” model followed by the American Community Survey (ACS), which had its nationwide launch in 2005.
The ACS is a nationwide survey conducted by the U.S. Census Bureau on a continuous, rolling basis. It is intended
to replace the ”long form” that has been a component of the decennial 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 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 snapshot for 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 the decennial looked at the
previous calendar year. Second, the ACS sample is much smaller than that of the decennial census: roughly 2.5%
each year. Even pooling the data over a 5-year period yields a combined sample 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, the pooling across years required to yield a decent-sized
sample for smaller areas creates complications for interpretation. Whereas the decennial census allowed one to
say, ”on April 1, 2000, X% of the population in 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 pooled estimate
over a 5-year period is much less helpful than having a firm snapshot at a single point in time. So while 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 estimates are available), it has created new
challenges for people interested in small 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 refer to the
1
Census Bureau’s publication A Compass for Understanding and Using American Community Survey Data: 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 the median
and 50% is below. With individual level data, one can simply sort the data and find the middle value (if the number
of items is odd) or take the average of the two middlemost values (if the number of items is even). However, the
Census Bureau reports grouped data, e.g. how many households fall into a particular income range. Estimating
medians from grouped data involves finding the range that contains the middlemost value, then estimating the point
within that range that the middlemost value would occupy. The median 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 granular level
of geography. However, some data are reported only for census tracts, which are generally much larger. Because
the geographic areas in this report are built from blocks, data reported only for tracts must be re-estimated to the
block level. We do this by assigning tract-level data to blocks based on the proportion of the tract population residing
within each block comprising that tract.
Why do you note that certain fields in this report may differ slightly from DP-1 totals?
A very small number of data fields were reported differently in the SF1 release (where block-level data are made
available) and in the DP-1 release (data released no lower than the tract. For example, the question of whether
Chinese and Taiwanese are the same nationality was handled differently in the two releases. Though minor, these
differences are flagged in our reports.
2
AILEY
ACS 2010-14 Profile
Percent without a High School Diploma or GED
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Heart of Georgia Altamaha
Georgia
Percent with a Bachelor’s Degree or Higher
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Note: Bars represent the margin of error around each estimated value.
2
Georgia
ACS 2010-14 Profile
AILEY
Percent Foreign-Born
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Georgia
Percent Speaking a Language other than English at Home
100
80
Percent
60
40
20
0
Ailey
Montgomery County
3
Georgia
AILEY
ACS 2010-14 Profile
Percent Owner-Occupied
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Georgia
Median Value of Owner-Occupied Housing Units
500,000
400,000
Dollars
300,000
200,000
100,000
0
Ailey
Montgomery County
4
Georgia
ACS 2010-14 Profile
AILEY
Homeowner Vacancy Rate
100
80
Rate
60
40
20
0
Ailey
Montgomery County
Georgia
Rental Vacancy Rate
100
80
Rate
60
40
20
0
Ailey
Montgomery County
5
Georgia
AILEY
ACS 2010-14 Profile
Percent of Homeowners for whom Selected Monthly Owner Costs Exceed 30% of Income
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Georgia
Percent of Housing Units Built Since 2000
100
80
Percent
60
40
20
0
Ailey
Montgomery County
6
Georgia
ACS 2010-14 Profile
AILEY
Percent of Persons Living outside Home County 1 Year Earlier
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Georgia
Median Household Income
160,000
Dollars
120,000
80,000
40,000
0
Ailey
Montgomery County
7
Georgia
AILEY
ACS 2010-14 Profile
Percent Civilian Unemployed
100
80
Percent
60
40
20
0
Ailey
Montgomery County
Georgia
Percent in Poverty
100
80
Percent
60
40
20
0
Ailey
Montgomery County
8
Georgia
ACS 2010-14 Profile
AILEY
Selected Social Characteristics
HOUSEHOLDS BY TYPE
Total households
Family households (families)
Married-couple family
Male householder, no wife present, family
Female householder, no husband present, family
Householder living alone
65 years and over
Estimate
171
119
35
86
34
0
0
33
1
52
52
27
Margin of Error
±45
±41
±24
±29
±20
±13
±13
±25
±3
±22
±22
±16
Percent
171
69.6%
20.5%
50.3%
19.9%
0.0%
0.0%
19.3%
0.6%
30.4%
30.4%
15.8%
Margin of Error
(X)
±15.5
±13.0
±10.6
±10.5
±7.6
±7.6
±13.7
±1.7
±10.1
±10.1
±8.4
49
75
±26
±32
28.7%
43.9%
±13.2
±14.7
2.61
3.25
±0.51
±1.35
(X)
(X)
(X)
(X)
RELATIONSHIP
Population in households
Householder
Spouse
Child
Other relatives
Nonrelatives
Unmarried partner
Estimate
446
171
78
142
48
7
7
Margin of Error
±146
±47
±27
±62
±41
±19
±19
Percent
446
38.3%
17.5%
31.8%
10.8%
1.6%
1.6%
Margin of Error
(X)
±16.3
±2.0
±9.2
±8.4
±4.3
±4.3
MARITAL STATUS
Males 15 years and over
Never married
Now married, except separated
Separated
Widowed
Divorced
Estimate
238
124
84
0
8
22
Margin of Error
±72
±56
±34
±13
±10
±20
Percent
238
52.1%
35.3%
0.0%
3.4%
9.2%
Margin of Error
(X)
±17.5
±9.2
±5.5
±4.1
±7.9
269
132
88
0
26
23
±82
±62
±28
±13
±20
±18
269
49.1%
32.7%
0.0%
9.7%
8.6%
(X)
±17.5
±3.1
±4.8
±6.8
±6.2
Households with one or more people under 18 years
Households with one or more people 65 years and over
Average household size
Average family size
Females 15 years and over
Never married
Now married, except separated
Separated
Widowed
Divorced
FERTILITY
Number of women 15 to 50 years old who had a birth
in the past 12 months
Unmarried women (widowed, divorced, and never married)
Per 1,000 unmarried women
Per 1,000 women 15 to 50 years old
Estimate
9
6
Margin of Error
±14
6
57
40
86
0
0
±14
±129
±93
±265
±418
±525
Percent
6
Margin of Error
(X)
100.0%
(X)
(X)
(X)
(X)
(X)
±0.0
(X)
(X)
(X)
(X)
(X)
AILEY
ACS 2010-14 Profile
GRANDPARENTS
Number of grandparents living with own grandchildren under 18 years
Responsible for grandchildren
Years responsible for grandchildren
Less than 1 year
1 or 2 years
3 or 4 years
5 or more years
Estimate
21
Margin of Error
±19
9
Number of grandparents responsible for own grandchildren under 18 years
Who are female
Who are married
21
Margin of Error
(X)
±13
42.9%
±48.3
0
9
0
0
±18
±13
±13
±13
0.0%
42.9%
0.0%
0.0%
±87.5
±48.3
±61.9
±61.9
9
±13
9
(X)
9
0
±13
±13
100.0%
0.0%
±0.0
±144.4
SCHOOL ENROLLMENT
Population 3 years and over enrolled in school
Nursery school, preschool
Kindergarten
Elementary school (grades 1-8)
High school (grades 9-12)
College or graduate school
Estimate
246
0
6
68
11
161
Margin of Error
±71
±13
±8
±28
±12
±56
Percent
246
0.0%
2.4%
27.6%
4.5%
65.4%
Margin of Error
(X)
±5.3
±3.2
±8.3
±4.7
±12.5
EDUCATIONAL ATTAINMENT
Population 25 years and over
Less than 9th grade
9th to 12th grade, no diploma
High school graduate (includes equivalency)
Some college, no degree
Associate’s degree
Bachelor’s degree
Graduate or professional degree
Estimate
332
13
19
131
61
6
67
35
Margin of Error
±112
±35
±35
±58
±28
±7
±33
±23
Percent
332
3.9%
5.7%
39.5%
18.4%
1.8%
20.2%
10.5%
Margin of Error
(X)
±10.4
±10.3
±11.3
±5.6
±1.9
±7.3
±6.0
90.4%
30.7%
±38.2
±6.4
(X)
(X)
(X)
(X)
Estimate
493
15
Margin of Error
±125
±13
Percent
493
3.0%
Margin of Error
(X)
±2.5
Estimate
Margin of Error
Percent
Margin of Error
Percent high school graduate or higher
Percent bachelor’s degree or higher
VETERAN STATUS
Civilian population 18 years and over
Civilian veterans
DISABILITY
STATUS OF THE
CIVILIAN
INSTITUTIONALIZED POPULATION
Total Civilian Noninstitutionalized Population
With a disability
NON-
Percent
595
78
±153
±44
595
13.1%
(X)
±6.7
Under 18 years
With a disability
102
0
±49
±26
102
0.0%
(X)
±25.5
18 to 64 years
With a disability
394
44
±88
±29
394
11.2%
(X)
±7.0
99
34
±41
±21
99
34.3%
(X)
±15.7
65 years and over
With a disability
10
ACS 2010-14 Profile
AILEY
RESIDENCE 1 YEAR AGO
Population 1 year and over
Same house
Different house in the U.S.
Same county
Different county
Same state
Different state
Abroad
Estimate
590
522
62
28
34
21
13
6
Margin of Error
±153
±137
±42
±29
±31
±25
±18
±12
Percent
590
88.5%
10.5%
4.7%
5.8%
3.6%
2.2%
1.0%
Margin of Error
(X)
±3.6
±6.6
±4.8
±5.0
±4.1
±3.0
±2.0
PLACE OF BIRTH
Total population
Native
Born in United States
State of residence
Different state
Born in Puerto Rico, U.S. Island areas, or born abroad to
American parent(s)
Foreign born
Estimate
595
587
578
435
143
9
Margin of Error
±153
±152
±145
±135
±53
±16
Percent
595
98.7%
97.1%
73.1%
24.0%
1.5%
Margin of Error
(X)
±3.0
±34.9
±12.7
±6.4
±2.7
8
±14
1.3%
±2.3
U.S. CITIZENSHIP STATUS
Foreign-born population
Naturalized U.S. citizen
Not a U.S. citizen
Estimate
Margin of Error
±14
±13
±14
Percent
8
0
8
YEAR OF ENTRY
Population born outside the United States
Estimate
17
Margin of Error
±21
Percent
Native
Entered 2010 or later
Entered before 2010
9
0
9
Foreign born
Entered 2010 or later
Entered before 2010
Margin of Error
(X)
±162.5
±0.0
17
Margin of Error
(X)
±28
±13
±24
9
0.0%
100.0%
(X)
±144.4
±409.3
8
8
0
±14
±14
±23
8
100.0%
0.0%
(X)
±0.0
±281.5
8
Margin of Error
±14
WORLD REGION OF BIRTH OF FOREIGN BORN
Foreign-born population, excluding population born
at sea
Europe
Asia
Africa
Oceania
Latin America
Northern America
Estimate
6
0
0
0
2
0
LANGUAGE SPOKEN AT HOME
English only
Language other than English
Speak English less than ’very well’
Spanish
Other Indo-European languages
Asian and Pacific Islander languages
Other languages
Estimate
581
573
8
0
2
0
0
0
6
0
0
0
11
8
0.0%
100.0%
Percent
8
Margin of Error
(X)
±12
±13
±13
±13
±6
±13
75.0%
0.0%
0.0%
0.0%
25.0%
0.0%
±72.6
±162.5
±162.5
±162.5
±60.9
±162.5
Margin of Error
±147
±116
±44
±78
±19
±39
±23
±39
±23
±39
±23
±39
Percent
581
98.6%
1.4%
0.0%
0.3%
0.0%
0.0%
0.0%
1.0%
0.0%
0.0%
0.0%
Margin of Error
(X)
±32.0
±7.5
±13.4
±3.3
±6.7
±3.9
±6.7
±4.0
±6.7
±3.9
±6.7
AILEY
ACS 2010-14 Profile
ANCESTRY
Total population
American
Arab
Czech
Danish
Dutch
English
French (except Basque)
French Canadian
German
Greek
Hungarian
Irish
Italian
Lithuanian
Norwegian
Polish
Portuguese
Russian
Scotch-Irish
Scottish
Slovak
Subsaharan African
Swedish
Swiss
Ukranian
Welsh
West Indian (excluding Hispanic origin groups)
Estimate
595
35
0
0
0
18
146
15
9
22
0
0
61
0
0
5
20
0
0
15
34
0
0
0
0
0
0
3
Margin of Error
±153
±29
±13
±13
±13
±18
±87
±20
±18
±20
±13
±13
±46
±13
±13
±8
±30
±13
±13
±13
±23
±13
±13
±13
±13
±13
±13
±6
Percent
595
5.9%
0.0%
0.0%
0.0%
3.0%
24.5%
2.5%
1.5%
3.7%
0.0%
0.0%
10.3%
0.0%
0.0%
0.8%
3.4%
0.0%
0.0%
2.5%
5.7%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.5%
Margin of Error
(X)
±4.6
±2.2
±2.2
±2.2
±2.9
±13.2
±3.3
±3.0
±3.2
±2.2
±2.2
±7.3
±2.2
±2.2
±1.3
±5.0
±2.2
±2.2
±2.1
±3.6
±2.2
±2.2
±2.2
±2.2
±2.2
±2.2
±1.0
Selected Economic Characteristics
EMPLOYMENT STATUS
In labor force
Civilian labor force
Employed
Unemployed
Armed Forces
Not in labor force
Estimate
504
248
248
229
19
0
256
Margin of Error
±125
±74
±74
±74
±63
±58
±77
Percent
504
49.2%
49.2%
45.4%
3.8%
0.0%
50.8%
Margin of Error
(X)
±8.3
±8.3
±9.3
±12.5
±11.5
±8.7
248
7.7%
±74
±25.4
248
(X)
(X)
(X)
Females 16 years and over
In labor force
Employed
266
104
104
95
±81
±46
±46
±47
266
39.1%
39.1%
35.7%
(X)
±12.4
±12.4
±13.7
Own children under 6 years
All parents in family in labor force
20
2
±21
±19
20
10.0%
(X)
±92.5
Own children 6 to 17 years
All parents in family in labor force
76
39
±40
±38
76
51.3%
(X)
±41.7
Percent Unemployed
12
ACS 2010-14 Profile
COMMUTING TO WORK
Workers 16 years and over
Car, truck, or van – drove alone
Car, truck, or van – carpooled
Public transportation (excluding taxicab)
Walked
Other means
Worked at home
AILEY
Estimate
229
178
16
0
24
4
7
Margin of Error
±81
±69
±12
±13
±28
±6
±11
Percent
229
77.7%
7.0%
0.0%
10.5%
1.7%
3.1%
Margin of Error
(X)
±12.3
±4.6
±5.7
±11.7
±2.5
±4.7
13.6
±6.9
(X)
(X)
OCCUPATION
Civilian employed population 16 years and over
Management, business, science, arts occupations
Service occupations
Sales and office occupations
Natural resources, construction, and maintenance occupations
Production, transportation, and material moving occupations
Estimate
229
65
42
62
21
Margin of Error
±74
±33
±39
±32
±21
Percent
229
28.4%
18.3%
27.1%
9.2%
Margin of Error
(X)
±11.3
±15.8
±10.8
±8.9
39
±24
17.0%
±9.0
INDUSTRY
Agriculture, forestry, fishing and hunting, and mining
Construction
Manufacturing
Wholesale trade
Retail trade
Transportation and warehousing, and utilities
Information
Finance and insurance, and real estate and rental and leasing
Professional, scientific, and management, and administrative
and waste management services
Educational services, and health care and social assistance
Arts, entertainment, and recreation, and accommodation and
food services
Other services, except public administration
Public administration
Estimate
229
7
15
28
10
19
14
6
23
13
Margin of Error
±74
±16
±20
±21
±16
±23
±11
±18
±33
±14
Percent
229
3.1%
6.6%
12.2%
4.4%
8.3%
6.1%
2.6%
10.0%
5.7%
Margin of Error
(X)
±7.1
±8.4
±8.1
±6.8
±9.6
±4.3
±7.7
±13.8
±5.7
68
5
±35
±15
29.7%
2.2%
±11.9
±6.4
17
4
±18
±14
7.4%
1.7%
±7.5
±6.2
CLASS OF WORKER
Private wage and salary workers
Government workers
Self-employed in own not incorporated business workers
Unpaid family workers
Estimate
229
166
50
13
0
Margin of Error
±74
±65
±34
±9
±18
Percent
229
72.5%
21.8%
5.7%
0.0%
Margin of Error
(X)
±15.9
±13.2
±3.6
±8.0
Mean travel time to work (minutes)
13
AILEY
INCOME AND BENEFITS (IN 2012 INFLATION-ADJUSTED
DOLLARS)
Total households
Less than $10,000
$10,000 to $14,999
$15,000 to $24,999
$25,000 to $34,999
$35,000 to $49,999
$50,000 to $74,999
$75,000 to $99,999
$100,000 to $149,999
$150,000 to $199,999
$200,000 or more
Median household income (dollars)
Mean household income (dollars)
ACS 2010-14 Profile
Estimate
Margin of Error
Percent
Margin of Error
171
7
16
19
25
22
40
11
21
5
5
43,125
60,488
±45
±8
±14
±15
±20
±15
±23
±11
±15
±9
±7
±21,670
±13,175
171
4.1%
9.4%
11.1%
14.6%
12.9%
23.4%
6.4%
12.3%
2.9%
2.9%
(X)
(X)
(X)
±4.6
±7.8
±8.5
±11.1
±8.3
±12.2
±6.2
±7.9
±5.2
±4.0
(X)
(X)
105
74,725
86
17,244
22
30,732
±38
±12,428
±33
±1,209
±15
±15,830
61.4%
(X)
50.3%
(X)
12.9%
(X)
±15.3
(X)
±14.0
(X)
±8.1
(X)
2
9,750
0
.
30
±3
±6,088
±13
±.
±20
1.2%
(X)
0.0%
(X)
17.5%
±1.7
(X)
±7.6
(X)
±10.7
Families
Less than $10,000
$10,000 to $14,999
$15,000 to $24,999
$25,000 to $34,999
$35,000 to $49,999
$50,000 to $74,999
$75,000 to $99,999
$100,000 to $149,999
$150,000 to $199,999
$200,000 or more
Median family income (dollars)
Mean family income (dollars)
119
0
5
8
18
19
31
7
21
5
5
58,542
74,192
±41
±13
±7
±9
±18
±22
±19
±8
±15
±9
±7
±15,586
±14,421
119
0.0%
4.2%
6.7%
15.1%
16.0%
26.1%
5.9%
17.6%
4.2%
4.2%
(X)
(X)
(X)
±10.9
±5.7
±7.6
±14.4
±17.4
±13.4
±6.4
±10.6
±7.4
±5.7
(X)
(X)
Per capita income (dollars)
18,578
±3,805
(X)
(X)
Median nonfamily income (dollars)
Mean nonfamily income (dollars)
52
16,818
25,710
±22
±21,531
±8,382
52
(X)
(X)
(X)
(X)
(X)
Median earnings for workers (dollars)
Median earnings for male full-time, year-round workers (dollars)
Median earnings for female full-time, year-round workers (dollars)
27,708
36,635
±10,843
±9,255
(X)
(X)
(X)
(X)
33,864
±3,051
(X)
(X)
With earnings
Mean earnings (dollars)
With Social Security
Mean Social Security income (dollars)
With retirement income
Mean retirement income (dollars)
With Supplemental Security Income
Mean Supplemental Security Income (dollars)
With cash public assistance income
Mean cash public assistance income (dollars)
With Food Stamp/SNAP benefits in the past 12 months
14
ACS 2010-14 Profile
HEALTH INSURANCE COVERAGE
Civilian noninstitutionalized population
With health insurance coverage
With private health insurance
With public coverage
No health insurance coverage
AILEY
Estimate
595
487
395
179
108
Margin of Error
±153
±98
±89
±56
±64
Percent
595
81.8%
66.4%
30.1%
18.2%
Margin of Error
(X)
±26.7
±22.7
±5.4
±9.7
Civilian noninstitutionalized population under 18
years
102
±49
102
(X)
9
±20
8.8%
±19.0
Civilian noninstitutionalized population 18 to 64 years
In labor force:
Employed:
Unemployed:
Not in labor force:
394
220
201
150
147
15
51
19
3
3
0
16
174
142
111
36
32
±88
±74
±72
±54
±51
±12
±40
±18
±5
±5
±13
±17
±48
±45
±39
±25
±37
394
220
201
74.6%
73.1%
7.5%
25.4%
19
15.8%
15.8%
0.0%
84.2%
174
81.6%
63.8%
20.7%
18.4%
(X)
(X)
(X)
±2.7
±36.5
±5.3
±17.7
(X)
±21.7
±21.7
±68.4
±40.5
(X)
±12.7
±13.9
±13.2
±20.7
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE
POVERTY LEVEL
All families
With related children under 18 years
With related children under 5 years only
Married couple families
Families with female householder, no husband present
Estimate
All people
Under 18 years
Related children under 18 years
Related children under 5 years
Related children 5 to 17 years
18 years and over
18 to 64 years
65 years and over
Related people in families
Unrelated individuals 15 years and over
15
Margin of Error
Percent
Margin of Error
4.2%
10.2%
100.0%
0.0%
0.0%
.%
15.2%
33.3%
100.0%
±5.7
±39.5
±715.8
±15.1
±38.2
±.
±17.8
±31.1
±326.8
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
5.8%
5.2%
5.2%
35.7%
0.0%
5.9%
6.7%
4.0%
4.1%
16.1%
±6.2
±45.8
±9.0
±122.4
±38.8
±11.5
±13.0
±23.5
±8.7
±14.5
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
(X)
AILEY
ACS 2010-14 Profile
Selected Housing Characteristics
HOUSING OCCUPANCY
Total housing units
Vacant housing units
Estimate
200
171
29
Margin of Error
±47
±45
±16
Percent
200
85.5%
14.5%
Margin of Error
(X)
±10.1
±7.2
Homeowner vacancy rate
Rental vacancy rate
1.5
9.8
±2.2
±16.9
(X)
(X)
(X)
(X)
UNITS IN STRUCTURE
Total housing units
1-unit, detached
1-unit, attached
2 units
3 or 4 units
5 to 9 units
10 to 19 units
20 or more units
Mobile home
Boat, RV, van, etc.
Estimate
200
200
0
0
0
0
0
0
0
0
Margin of Error
±47
±47
±13
±13
±13
±13
±13
±18
±13
±13
Percent
200
100.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Margin of Error
(X)
±0.0
±6.5
±6.5
±6.5
±6.5
±6.5
±9.2
±6.5
±6.5
YEAR STRUCTURE BUILT
Total housing units
Built 2010 or later
Built 2000 to 2009
Built 1990 to 1999
Built 1980 to 1989
Built 1970 to 1979
Built 1960 to 1969
Built 1950 to 1959
Built 1940 to 1949
Built 1939 or earlier
Estimate
200
0
11
5
17
76
16
12
28
35
Margin of Error
±47
±13
±12
±8
±13
±27
±11
±10
±23
±20
Percent
200
0.0%
5.5%
2.5%
8.5%
38.0%
8.0%
6.0%
14.0%
17.5%
Margin of Error
(X)
±6.5
±5.9
±4.0
±6.2
±10.1
±5.2
±4.8
±11.0
±9.1
ROOMS
Total housing units
1 room
2 rooms
3 rooms
4 rooms
5 rooms
6 rooms
7 rooms
8 rooms
9 rooms or more
Median rooms
Estimate
200
0
0
0
12
58
34
41
31
24
6.4
Margin of Error
±47
±13
±13
±13
±14
±26
±23
±19
±19
±17
±0.6
Percent
200
0.0%
0.0%
0.0%
6.0%
29.0%
17.0%
20.5%
15.5%
12.0%
(X)
Margin of Error
(X)
±6.5
±6.5
±6.5
±6.9
±11.1
±10.8
±8.2
±8.8
±8.0
(X)
BEDROOMS
Total housing units
No bedroom
1 bedroom
2 bedrooms
3 bedrooms
4 bedrooms
5 or more bedrooms
Estimate
200
0
0
22
131
31
16
Margin of Error
±47
±13
±13
±15
±37
±18
±12
Percent
200
0.0%
0.0%
11.0%
65.5%
15.5%
8.0%
Margin of Error
(X)
±6.5
±6.5
±7.0
±10.3
±8.2
±5.7
16
ACS 2010-14 Profile
HOUSING TENURE
Owner-occupied
Renter-occupied
AILEY
Estimate
171
129
42
Margin of Error
±45
±40
±24
Percent
171
75.4%
24.6%
Margin of Error
(X)
±12.4
±12.5
2.46
3.07
±0.65
±0.74
(X)
(X)
(X)
(X)
YEAR HOUSEHOLDER MOVED INTO UNIT
Moved in 2010 or later
Moved in 2000 to 2009
Moved in 1969 or earlier
Estimate
171
5
55
29
21
34
27
Margin of Error
±45
±15
±28
±24
±14
±20
±21
Percent
171
2.9%
32.2%
17.0%
12.3%
19.9%
15.8%
Margin of Error
(X)
±8.9
±13.9
±13.2
±7.3
±10.3
±11.3
VEHICLES AVAILABLE
No vehicles available
1 vehicle available
2 vehicles available
3 or more vehicles available
Estimate
171
3
43
73
52
Margin of Error
±45
±14
±22
±36
±29
Percent
171
1.8%
25.1%
42.7%
30.4%
Margin of Error
(X)
±7.9
±11.2
±17.7
±15.3
HOUSE HEATING FUEL
Utility gas
Bottled, tank, or LP gas
Electricity
Fuel oil, kerosene, etc.
Coal or coke
Wood
Solar energy
Other fuel
No fuel used
Estimate
171
18
6
147
0
0
0
0
0
0
Margin of Error
±45
±13
±8
±45
±13
±13
±13
±13
±13
±13
Percent
171
10.5%
3.5%
86.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
Margin of Error
(X)
±7.1
±4.6
±13.4
±7.6
±7.6
±7.6
±7.6
±7.6
±7.6
SELECTED CHARACTERISTICS
Lacking complete plumbing facilities
Lacking complete kitchen facilities
No telephone service available
Estimate
171
0
0
65
Margin of Error
±45
±13
±13
±33
Percent
171
0.0%
0.0%
38.0%
Margin of Error
(X)
±7.6
±7.6
±16.3
OCCUPANTS PER ROOM
1.00 or less
1.01 to 1.50
1.51 or more
Estimate
171
163
8
0
Margin of Error
±45
±43
±18
±26
Percent
171
95.3%
4.7%
0.0%
Margin of Error
(X)
±1.8
±10.3
±15.2
VALUE
Owner-occupied units
Less than $50,000
$50,000 to $99,999
$100,000 to $149,999
$150,000 to $199,999
$200,000 to $299,999
$300,000 to $499,999
$500,000 to $999,999
$1,000,000 or more
Median (dollars)
Estimate
129
23
39
23
26
18
0
0
0
103,500
Margin of Error
±40
±31
±26
±19
±17
±14
±18
±18
±13
±49,215
Percent
129
17.8%
30.2%
17.8%
20.2%
14.0%
0.0%
0.0%
0.0%
(X)
Margin of Error
(X)
±23.7
±17.4
±13.6
±11.6
±9.9
±14.3
±14.3
±10.1
(X)
Average household size of owner-occupied unit
Average household size of renter-occupied unit
17
AILEY
ACS 2010-14 Profile
MORTGAGE STATUS
Owner-occupied units
Housing units with a mortgage
Housing units without a mortgage
Estimate
129
49
80
Margin of Error
±40
±24
±31
Percent
129
38.0%
62.0%
Margin of Error
(X)
±14.4
±14.4
SELECTED MONTHLY OWNER COSTS (SMOC)
Housing units with a mortgage
Less than $300
$300 to $499
$500 to $699
$700 to $999
$1,000 to $1,499
$1,500 to $1,999
$2,000 or more
Median (dollars)
Estimate
49
0
4
10
5
20
6
4
1,273
Margin of Error
±24
±18
±14
±12
±20
±19
±7
±20
±546
Percent
49
0.0%
8.2%
20.4%
10.2%
40.8%
12.2%
8.2%
(X)
Margin of Error
(X)
±37.5
±28.9
±22.8
±40.6
±32.5
±13.0
±39.9
(X)
80
0
13
0
12
55
460
±31
±13
±19
±18
±10
±26
±63
80
0.0%
16.2%
0.0%
15.0%
68.8%
(X)
(X)
±16.2
±23.0
±23.0
±11.1
±18.7
(X)
Housing units without a mortgage
Less than $100
$100 to $199
$200 to $299
$300 to $399
$400 or more
Median (dollars)
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
Housing units with a mortgage (excluding units where
SMOCAPI cannot be computed)
Less than 20.0 percent
20.0 to 24.9 percent
35.0 percent or more
Estimate
Percent
Margin of Error
49
±34
49
(X)
26
12
0
1
10
±22
±14
±13
±3
±17
53.1%
24.5%
0.0%
2.0%
20.4%
±25.2
±23.0
±26.5
±6.0
±32.2
0
±13
(X)
(X)
80
±38
80
(X)
24
19
16
7
0
4
10
±16
±17
±15
±8
±13
±6
±21
30.0%
23.7%
20.0%
8.7%
0.0%
5.0%
12.5%
±13.9
±17.9
±16.1
±9.1
±16.2
±7.1
±25.5
0
±13
(X)
(X)
Estimate
15
0
0
4
5
6
0
0
635
Margin of Error
±14
±23
±18
±24
±27
±20
±18
±18
±256
27
±20
Not computed
Housing unit without a mortgage (excluding units
where SMOCAPI cannot be computed)
Not computed
GROSS RENT
Occupied units paying rent
Less than $200
$200 to $299
$300 to $499
$500 to $749
$750 to $999
$1,000 to $1,499
$1,500 or more
Median (dollars)
Margin of Error
No rent paid
18
Percent
15
0.0%
0.0%
26.7%
33.3%
40.0%
0.0%
0.0%
(X)
Margin of Error
(X)
±150.1
±122.6
±157.3
±178.7
±131.3
±122.6
±122.6
(X)
(X)
(X)
ACS 2010-14 Profile
AILEY
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
Occupied units paying rent (excluding units where
GRAPI cannot be computed)
Estimate
Not computed
Margin of Error
Percent
Margin of Error
15
±37
15
(X)
9
6
0
0
0
0
±17
±9
±13
±13
±13
±23
60.0%
40.0%
0.0%
0.0%
0.0%
0.0%
±187.2
±116.0
±86.7
±86.7
±86.7
±150.1
27
±20
(X)
(X)
Selected Demographic Characteristics
SEX AND AGE
Total Population
Male
Female
Estimate
595
290
305
Margin of Error
±153
±85
±95
Percent
595
48.7%
51.3%
Margin of Error
(X)
±6.9
±9.0
Under 5 years
5 to 9 years
10 to 14 years
15 to 19 years
20 to 24 years
25 to 34 years
35 to 44 years
45 to 54 years
55 to 59 years
60 to 64 years
65 to 74 years
75 to 84 years
85 years and over
14
20
54
117
58
59
31
73
38
32
51
25
23
±22
±15
±34
±59
±31
±36
±17
±41
±22
±21
±26
±24
±24
2.4%
3.4%
9.1%
19.7%
9.7%
9.9%
5.2%
12.3%
6.4%
5.4%
8.6%
4.2%
3.9%
±3.7
±2.4
±5.2
±8.6
±4.6
±5.6
±2.5
±6.0
±3.4
±3.3
±3.8
±3.9
±3.9
Median age (years)
34.0
±9.7
(X)
(X)
18 years and over
21 years and over
62 years and over
65 years and over
493
365
112
99
±101
±80
±45
±43
82.9%
61.3%
18.8%
16.6%
±27.3
±20.8
±5.7
±5.8
18 years and over
Male
Female
493
227
266
±101
±71
±73
493
46.0%
54.0%
(X)
±10.7
±9.7
65 years and over
Male
Female
99
37
62
±43
±27
±33
99
37.4%
62.6%
(X)
±22.3
±19.4
19
AILEY
ACS 2010-14 Profile
RACE
Total population
One race
Two or more races
One race
White
Cherokee tribal grouping
Chippewa tribal grouping
Navajo tribal grouping
Sioux tribal grouping
Asian
Asian Indian
Chinese
Filipino
Japanese
Korean
Vietnamese
Other Asian
Native Hawaiian
Guamanian or Chamorro
Samoan
Other Pacific Islander
Some other race
Two or more races
White and Black or African American
White and American Indian and Alaska Native
White and Asian
Black or African American and American Indian and
Alaska Native
Race alone or in combination with one or more other races
Total population
White
Asian
Some other race
Estimate
595
583
12
583
384
193
0
0
0
0
0
6
6
0
0
0
0
0
0
0
0
0
0
0
0
12
0
0
9
0
Margin of Error
±153
±149
±17
±149
±112
±103
±13
±13
±13
±13
±13
±14
±14
±18
±13
±13
±13
±13
±43
±13
±13
±13
±13
±34
±13
±17
±13
±13
±16
±13
Percent
595
98.0%
2.0%
98.0%
64.5%
32.4%
0.0%
0.0%
0.0%
0.0%
0.0%
1.0%
1.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
0.0%
2.0%
0.0%
0.0%
1.5%
0.0%
Margin of Error
(X)
±35.5
±2.8
±35.5
±8.9
±15.2
±2.2
±2.2
±2.2
±2.2
±2.2
±2.3
±2.3
±3.1
±2.2
±2.2
±2.2
±2.2
±7.2
±2.2
±2.2
±2.2
±2.2
±5.8
±2.2
±2.8
±2.2
±2.2
±2.7
±2.2
595
396
193
0
15
3
0
±153
±118
±103
±13
±21
±5
±13
595
66.6%
32.4%
0.0%
2.5%
0.5%
0.0%
(X)
±10.0
±15.2
±2.2
±3.5
±0.8
±2.2
HISPANIC OR LATINO AND RACE
Total population
Hispanic or Latino (of any race)
Mexican
Puerto Rican
Cuban
Other Hispanic or Latino
White alone
Asian alone
Some other race alone
Two or more races
Two races including Some other race
Two races excluding Some other race, and
Three or more races
Estimate
595
5
0
3
0
2
590
379
193
0
6
0
0
12
0
12
Margin of Error
±153
±11
±13
±6
±13
±23
±150
±109
±103
±13
±14
±13
±13
±17
±13
±17
Percent
595
0.8%
0.0%
0.5%
0.0%
0.3%
99.2%
63.7%
32.4%
0.0%
1.0%
0.0%
0.0%
2.0%
0.0%
2.0%
Margin of Error
(X)
±1.8
±2.2
±1.0
±2.2
±3.9
±35.9
±8.2
±15.2
±2.2
±2.3
±2.2
±2.2
±2.8
±2.2
±2.8
Source: U.S. Census Bureau, 2010-2014 American Community Survey
Values 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 and
Terra Cognita Consulting, LLC in cooperation with Neighborhood Nexus.
20
Technical Notes, ACS Profile
This report features demographic profiles based on the Census Bureaus 2010-2014 American Community 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 Estimate?
The American Community Survey is a nationwide survey conducted by the U.S. Census Bureau on a continuous,
rolling basis. It is intended to replace the ”long form” that has been a component of the decennial census for the last
several decades.
From 1940 until 2000, the Census Bureau actually conducted a census (counting of the entire population) 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 to a sample of households (varied
by year and other factors, but roughly 1 in 7 households). As the name implies, the decennial census took place
only once every ten years, providing a single ”snapshot” of the country. 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 snapshot for 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 the decennial looked at the
previous calendar year. Second, the ACS sample is much smaller than that of the decennial census: roughly 2.5%
each year. Even pooling the data over a 5-year period yields a combined sample 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, the pooling across years required to yield a decent-sized
sample for smaller areas creates complications for interpretation. Whereas the decennial census allowed one to
say, ”on April 1, 2000, X% of the population in 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 onset of the ”Great Recession,” having a pooled estimate over a 5-year period is much less helpful
than having a firm snapshot at a single point in time. So while 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 estimates are available), it has created new challenges for people interested in
small 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 refer to the
Census Bureau’s publication A Compass for Understanding and Using American Community Survey Data: What
General Data Users Need to Know.
What is a Margin of Error, and Why is its Calculation so Important?
It is not feasible to administer the long form or the ACS to the entire population. Fortunately, this is not necessary:
just like a single spoonful can tell you if a pot of soup has enough salt, a reasonable estimate of a population may
be derived from a quality sample. The quality of a sample depends on two factors: its representativeness and its
size. In some sense, the representativeness is the more important of the two: a biased sample, however large, can
never yield a good estimate. After adding salt to your soup but before tasting, you stir the soup. Otherwise you’ll get
1
a spoonful of extra-salty soup not representative of the pot as a whole. Randomly sampling the population has the
same effect as stirring the soup: you get a sample that is representative of the population from which it was drawn.
But the spoonful of soup doesn’t have exactly the same proportion of salt as the rest of the pot: it contains the ”true”
amount, plus or minus some amount due to chance. We call that chance variation from the true amount ”sampling
error.” The larger the sample, the smaller that error is likely to be, though the marginal reduction in sampling error
of increasing the 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 ”point estimate”
(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 8,500 milligrams of salt,
plus or minus 500 milligrams. Holding a sample size constant, increasing the confidence level 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 reports a 90%
confidence interval: we are 90% certain that the true number lies within the reported range. When looking at counties or large cities, the samples are large and the confidence intervals small. But for smaller cities and geographies
such as census tracts, even the five-year pooled sample is quite small– yielding a rather large confidence interval.
When the confidence intervals for two areas overlap, we cannot tell whether the difference we observed is real or
an artifact caused by sampling error (or, to use the technical term, the differences are not ”statistically significant”).
Although you can simply add the raw population of two census tracts together, estimating the margin of error for
the resultant area is somewhat more complicated. To estimate the margin of error for numbers and proportions, we
follow the method recommended in Appendix 3 of the Census Bureau’s publication A Compass for Understanding
and Using American Community Survey Data: What General Data Users Need to Know. To estimate the margin of
error for medians, we follow the method recommended on pages 16-17 of 2005-2009 ACS 5-year PUMS Accuracy
of the Data.
2
What tables from the ACS were used to compile these Demographic Profiles?
SOCIAL
Indicators
Households by Type
Average Household Size
Relationship
Marital Status
Fertility
Grandparents
School Enrollment
Educational Attainment
Veteran Status
Disability Status
Residence 1 Year Ago
Place of Birth
Year of Entry, Native
World Region of Birth of Foreign Born
Language Spoken at Home
Ancestry
Table(s)
B11001
B09019, B11001
B09019
B12001
B13002
B10050
B14001
B15002
B21001
B18101
B07003
B05002
B05005
B05006
B16004
B04006
ECONOMIC
Indicators
Employment Status
Employment for parents of Own Children
Commuting to Work
Mean Travel Time to Work
Occupation
Industry
Class of Worker
Household Income
Median Household Income
Mean Household Income
Households with Earnings
Mean Earnings
Households with Social Security
Mean Social Security
Households with Retirement Income
Mean Retirement Income
Households with SSI Income
Mean SSI Income
Households with Public Assistance Income
Mean Public Assistance Income
Table(s)
B23001
B23008
B08101
B08013, B08101
C24010
C24030
B24080
B19001
B19013
B19025, B19001
B19051
B19061, B19051
B19055
B19065, B19055
B19059
B19069, B19059
B19056
B19066, B19056
B19057
B19067, B19057
3
ECONOMIC
Indicators
Households with Food Stamp/SNAP Income
Family Income
Median Family Income
Mean Family Income
Per Capita Income
Median Non-Family Income
Mean Non-Family Income
Median Earnings for Workers
Health Insurance Coverage
Poverty: Families
Poverty: People
Poverty: Related Children
Poverty: Related People in Families
Poverty: Unrelated individuals 15 years and over
HOUSING
Indicators
Housing Occupancy
Homeowner vacancy rate
Rental vacancy rate
Units in Structure
Year Structure Built
Rooms
Median Number of rooms
Bedrooms
Housing Tenure
Average Household size of occupied units
Year Householder Moved into Unit
Vehicles Available
House Heating Fuel
Selected Characteristics: Lacking Plumbing
Selected Characteristics: Lacking Complete
Kitchen
Selected Characteristics: Lacking Telephone
Occupants per Room
Value of Housing Unit
Median housing unit value
Mortgage Status
Selected Monthly Owner Costs
Median Selected Monthly Owner Costs
Table(s)
B22001
B19101
B19113
B19127, B19101
B19313, B01001
B19202
B19214, B19201
B20017
B18135, B27011
B17010
B17001
B17006
B17021
B17007
Table(s)
B25002
B25003, B25004
B25003, B25004
B25024
B25034
B25017
B25018
B25041
B25009
B25008, B25003
B25038
B25044
B25040
B25048
B25052
B25043
B25014
B25075
B25077
B25081
B25087
B25088
4
HOUSING
Indicators
Selected Monthly Owner Costs as a Percentage
of Household Income
Gross Rent
Median Gross Rent
Gross Rent as a Percentage of Household Income
DEMOGRAPHIC
Indicators
Sex and Age
Median Age
Race
Tribal Groupings
Asian Groupings
Hawaiian and Pacific Islander Groupings
Race Alone or In Combination with One or More
Other Races
Hispanic or Latino and Race
Table(s)
B25091
B25063
B25064
B25070
Table(s)
B01001
B01002
C02003
B02005
B02006
B02007
B02008, B02009, B02010, B02011, B02012, B02013
B03001, B03002
5

Ailey

Transcription

Similar documents

RubiCoil

Appleworks Quick Reference Guide

ElectroniC) Typewriters - Mercer Sales and Service

Arts Patroness of Vieques!

Tractor Supply Company

Unit 12: Not So Long Ago Lesson 9: Who Are We Now? Chapter 62

Software Integrations - The Episcopal Diocese of Newark

Attapulgus - Georgia Municipal Association

James Lowman ACS Chief Executive C

2008