|
| Sachse,
TX |
Area 1: 1.0 Mile
Radius |
|
| Center
of Town |
Area 2: 3.0 Mile
Radius |
| Coord:
32.9763 96.5954 |
Area 3: 5.0 Mile
Radius |
|
MARKET
PROFILE The Market Profile Report contains a comprehensive
list of demographic information based on 1990 Census data
updated to reflect 1996 estimates and 2001 projections.
Population and household count data on this report is
retrieved at the census block level. |
| |
|
|
POPULATION
& HOUSEHOLDS Population and house hold information
allows you to quantify the market size and measure future
market growth. Population is defined as all living
persons. Households include all occupied housing units,
regardless of the relationship of the residents.
|
| |
Area 1 |
Area 2 |
Area 3 |
| 2001
Population |
9,601 |
27,423 |
128,590 |
| 1996
Population |
7,718 |
23,112 |
113,148 |
| 1990
Population |
4,819 |
16,591 |
91,023 |
| Pop
Per Square Mile |
2,573 |
1,051 |
1,489 |
| 2001
Housholds |
3,097 |
8,817 |
43,652 |
| 1996
Households |
2,503 |
7,439 |
38,220 |
| 1990
Households |
1,581 |
5,368 |
30,658 |
| %
Annual HH Growth |
5 |
4 |
3 |
| |
|
|
HOUSEHOLD
BY INCOME Household income is a good indicator of the
spending power of your market. Household income includes
the income of all persons 15 years old and over. Median
income divides the income distribution into two equal
parts, one-half falling above the median and half below. |
| |
Area 1 |
Area 2 |
Area 3 |
| %
Under $15,000 |
7.7 |
4.8 |
6.6 |
| %
15,000-$24,999 |
3.8 |
3.9 |
7.2 |
| %
$25,000-$34,999 |
8.8 |
8.5 |
11.4 |
| %
$35,000-$49,999 |
22.7 |
18.2 |
19.6 |
| %
$50,000-$74,999 |
36.5 |
35.1 |
30.4 |
| %
$75,000-$99,999 |
12.4 |
17 |
14.4 |
| %
$100,000-$149,999 |
6.4 |
10.3 |
805 |
| %
$150,000-$249,999 |
1.1 |
1.7 |
1.4 |
| %$250,000-$499,999 |
0.4 |
0.4 |
0.3 |
| %$500,000+ |
0.1 |
0.1 |
0.1 |
| Average
HH Income |
$61,719 |
$67,979 |
$61,762 |
| Median
HH Income |
$54,883 |
$60,976 |
$54,926 |
| |
|
POPULATION
BY RACE The race variables represent the
self-classification by people according to the race with
which they most closely identify. Ancestry can be viewed
as the nationality, lineage or country of birth of a
person. Persons of Hispanic ancestry may be of any race. |
|
Area 1 |
Area 2 |
Area 3 |
| % Black |
3.4 |
6.7 |
7.8 |
| % Asian |
1 |
4.3 |
5.4 |
| % Other |
0.7 |
0.5 |
0.5 |
| % Hispanic
Ancestry |
6 |
6.3 |
8.2 |
| |
|
|
POPULATION
BY AGE Population by age variables provide valuable
information as to the relative maturity or youth of a
particular market. Median age divides the age distribution
into two equal parts, one-half falling below the median
and and one-half above. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Under Age 6 |
13.9 |
13.4 |
11.8 |
| %
Age 6-17 |
21.9 |
21.3 |
20.1 |
| %
Age 18-24 |
6.3 |
6.9 |
8.2 |
| %
Age 25-34 |
19.1 |
17.6 |
18.0 |
| %
Age 35-44 |
19.1 |
21.3 |
20.0 |
| %
Age 45-54 |
10.8 |
11.8 |
12.5 |
| %
Age 55-64 |
5.5 |
4.7 |
5.1 |
| %
Age 65+ |
3.3 |
3.1 |
4.4 |
| Average
Age of Total Population |
28.4 |
28.7 |
29.9 |
| Median
Age of Total Population |
31 |
32 |
32 |
| |
|
POPULATION
BY SEX |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Male |
49.5 |
49.6 |
49.4 |
| %Female |
50.5 |
50.4 |
50.6 |
| %
Females Under Age 6 |
6.9 |
6.7 |
5.8 |
| %
Females Age 6-13 |
8.1 |
7.4 |
6.8 |
| %
Females Age 14-17 |
2.8 |
3.0 |
3.0 |
| %
Females Age 25-34 |
3.2 |
3.4 |
4.1 |
| %
Females Age 35-44 |
10.3 |
9.5 |
9.3 |
| %
Females Age 45-54 |
5.2 |
5.6 |
6.2 |
| %
Females Age 55-64 |
2.7 |
2.2 |
2.5 |
| %
Females Age 65+ |
2 |
1.8 |
2.6 |
| Average
Age Female |
28.5 |
28.8 |
30.4 |
| |
|
|
|
| %
Males Under Age 6 |
7 |
6.7 |
6 |
| %
Males Age 6-13 |
7.7 |
7.6 |
7.2 |
| %
Males Age 14-17 |
3.3 |
3.3 |
3.2 |
| %
Males Age 18-24 |
3.2 |
3.5 |
4.1 |
| %
Males Age 25-34 |
8.8 |
8.1 |
8.7 |
| %
Males Age 35-44 |
9.8 |
10.5 |
9.7 |
| %
Males Age 45-54 |
5.6 |
6.2 |
6.3 |
| %
Males Age 55-64 |
2.8 |
2.4 |
2.6 |
| %
Males Age 65+ |
1.4 |
1.4 |
1.8 |
| Average
Age Male |
28.2 |
28.5 |
29.2 |
| |
|
EDUCATION
The educational attainment variables are another way to
determine the relative socio-economic status of an area.
For these variables persons 25 years old and over are
classified according to their highest level of school
completed or their highest level of school completed or
their highest degree received. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Elementary School (0-8 yrs.) |
3 |
2.4 |
3.6 |
| %
Some High School (9-11 Yrs.) |
8 |
6.2 |
7.9 |
| %
High School Graduate (12 Yrs.) |
27 |
24.3 |
24.9 |
| %
Some College (13-15 Yrs) |
39.5 |
33.7 |
33.8 |
| %
College Graduate (16+ Yrs.) |
22.4 |
33.3 |
29.8 |
| Average
Yrs. of School Completed |
13.5 |
14 |
13.7 |
| Median
Yrs. of School Completed |
14 |
15 |
14 |
| |
|
MARITAL
STATUS |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Persons Married |
75.1 |
75.1 |
67.2 |
| %
Persons Single |
24.9 |
24.9 |
32.8 |
| %
Females Married |
37.5 |
37.8 |
33.6 |
| %
Females Never Married |
6.2 |
7.1 |
8.6 |
| %
Females Widowed/Divorced/Separate |
7 |
6 |
9 |
| %
Males Married |
37.6 |
37.4 |
33.6 |
| %
Males Never Married |
8.1 |
8.9 |
10.9 |
| %
Males Widowed/Divorced/Separated |
3.7 |
2.9 |
4.2 |
| |
|
OCCUPATION
The occupation variables help you evaluate the composition
of the labor force in a particular market. The occupation
variables are based on the population 16 years of age and
over employed in the labor force , except for Pop in Armed
Forces & Unemployed which are based on Pop Age 16+. |
| |
Area 1 |
Area 2 |
Area 3 |
| Pop
16+Emp in Civ. L.F. |
3,916 |
12,245 |
62,318 |
| %
Emp. in Personal/Prof/Business |
35.1 |
36.8 |
37.2 |
| %
Emp. in Wholesale & Retail Trade |
18.5 |
19.1 |
21.8 |
| %
Emp. in Public Administration |
2.3 |
2.9 |
2.8 |
| %
Emp. in Transport/Commun/Util |
11.2 |
9.2 |
8.2 |
| %
Emp. in Manufactur & Construction |
31.7 |
30.3 |
28.4 |
| %
Emp. in Agricult/Forest/Fish/Mine1.2 |
1.2 |
1.7 |
1.6 |
| %
Fed. Government Workers |
1.1 |
1.9 |
2.2 |
| %
Pop in Armed Forces |
0 |
0.2 |
1 |
| %Pop
in Labor Force: Unemployed |
1.9 |
2.2 |
3 |
| White
Collar |
65.6 |
74.2 |
70.9 |
| Blue
Collar |
25.8 |
18 |
20.2 |
| White/Blue
Collar Ratio |
2.5 |
4.1 |
3.5 |
| |
|
HOUSING
A household includes all the persons who occupy a house,
apartment, mobile home or other separate living quarter.
Home value is based on the owner's estimate of how much
the property would sell for if it currently were for sale. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
With 1 Person |
9.9 |
10.1 |
14.7 |
| %
With 2 Persons |
28.8 |
27.9 |
28.5 |
| %
With 3 to 4 Persons% With 3 to 4 Persons |
50.6 |
49.9 |
45 |
| %
With 5+ Persons |
10.8 |
12.1 |
11.8 |
| Pop.
in Group Quarters |
0 |
2 |
311 |
| Average
Persons/HH |
3 |
3.1 |
2.9 |
| Median
Persons/HH |
2.9 |
3 |
2.8 |
| %
Under $20,000 |
0 |
0.1 |
0.2 |
| %
$20,000 -$49,999 |
3.4 |
2 |
4.8 |
| %
$50,000 - $74,999 |
17.9 |
12 |
21.4 |
| %
$75,000-$99,999 |
29.4 |
30 |
31.8 |
| %
$100,000-$149,000 |
35.8 |
40.7 |
31.1 |
| %
$150,000-$249,999 |
13.1 |
14.1 |
9.4 |
| %
$250,000-$499,999 |
0.5 |
1 |
1.2 |
| %
500,000 |
0 |
0.1 |
0.1 |
| Average
Home Value |
$110,890 |
$117,813 |
$105,783 |
| Median
Home Value |
$102,956 |
$109,986 |
$98,
693 |
| |
|
|
|
| |
|
|
|
| %
Built in 1985-1990 |
34 |
40.5 |
25.3 |
| %
Built in 1980-1984 |
35.7 |
33.3 |
26.7 |
| %
Built in 1970-1979 |
18.4 |
19.3 |
34.9 |
| %
Built in 1950-1969 |
8.4 |
5 |
11.2 |
| %
Built in 1949 or Earlier |
3.5 |
1.9 |
2 |
| %
Moved into Unit 0-5 Yrs. Ago |
64.1 |
64.3 |
61.9 |
| %
Moved into Unit 6-10 Yrs, Ago |
21.8 |
22.6 |
19 |
| %
Moved into Unit 11+Yrs. Ago |
14.1 |
13.2 |
19.1 |
| Average
Length of Residence in Yrs. |
6 |
5 |
6 |
| %
Single Unit Structures |
91.4 |
92.7 |
83.2 |
| %
2-9 Unit Structures |
3.9 |
2.6 |
6 |
| %10+
Unit Structures |
2.3 |
1 |
6.3 |
| %
Mobile Home/Other Structures |
2.3 |
3.8 |
4.6 |
| %
Owner-Occupied HHs |
79.6 |
88.1 |
75.5 |
| %
Renter-Occupied HHs |
20.4 |
11.9 |
24.4 |
| Owner/Renter
Ratio |
3.9 |
7.4 |
3.1 |
| |
|
COMMUTE
The vehicle and commute variables are useful in
determining the vehicle ownership that can be anticipated
around a site. Commute time refers to the total number of
minutes that it takes to get from home to work. Number of
vehicles refers to vehicle ownership per household. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Commute Under 15 Minutes |
10.6 |
10.5 |
17.4 |
| %
Commute 15-29 Minutes |
42.8 |
39 |
37.3 |
| %
Commute 30-44 Minutes |
30.3 |
30 |
26.4 |
| %
Commute 45-59 Minutes |
10.9 |
13.3 |
12.1 |
| %
Commute 60+Minutes |
5.4 |
7.1 |
6.8 |
| Average
Commute to Work in Minutes |
27 |
28 |
27 |
| Median
Commute to Work in Minutes |
28.8 |
30.2 |
28.1 |
| %
With % With No Vehicles |
1.9 |
1 |
1.7 |
| %
With 1 Vehicle |
16.5 |
15.2 |
23.9 |
| %
With 2 Vehicles |
61 |
59.3 |
52.3 |
| %
With 3+ Vehicles |
20.7 |
24.5 |
22.1 |
| Number
of Vehicles |
4,876 |
15,423 |
75,635 |
| Average
Number of Vehicles |
2.2 |
2.3 |
2.2 |
| Median
Number of Vehicles |
2 |
2.1 |
2 |
| |
|
TOTAL
EMPLOYMENT This variable allows you to determine the
number of employees (daytime population) around a
particular site. |
| |
Area
1 |
Area
2 |
Area
3 |
| Total
Employees |
605 |
1470 |
16688 |
| Employees/Business |
6 |
7 |
10 |
| |
|
EMPLOYEE
OCCUPATION These variables break down the total employees
by selected occupations. Employee occupation data lets you
assess the composition of the labor force. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
Manufacturing/Industrial Employees |
9.6 |
7.3 |
52.3 |
| %
Retail Trade Employees |
35.5 |
30.3 |
10.8 |
| %
Restaurant & Bar Employees |
7.6 |
6 |
4.2 |
| %
Personal Service Employee |
10.7 |
14.5 |
6 |
| %
Business Service employees |
2.5 |
12.4 |
6.4 |
| %
Automobile Service Employees |
1.8 |
2.4 |
2 |
| %
Education & Government Employees |
32.2 |
27.1 |
18.1 |
| %
Other |
0.1 |
0 |
0.2 |
| |
|
WHITE/BLUE
COLLAR EMPLOYEES Blue and White Collar classifications
provide another way to categorize employees. Blue collar
occupations are those that require physical labor. |
| |
Area
1 |
Area
2 |
Area
3 |
| %
White Collar Employees |
88.6 |
88.8 |
54.4 |
| %
Blue Collar Employees |
11.4 |
11.2 |
45.5 |
| White/Blue
Collar Ratio |
7.8 |
8 |
1.2 |
| |
|
BUSINESSES
In addition to providing information on day-time
population, this report contains information on all
businesses in the area and classifies them by business
type. |
| |
Area
1 |
Area
2 |
Area
3 |
| Total
Businesses |
102 |
209 |
1634 |
| %
Manufacturing/Industrial Businesses |
21.6 |
21.1 |
33.1 |
| %
Retail Trade Businesses |
21.6 |
21.1 |
33.1 |
| %
Restaurant & Bar Businesses |
5.9 |
4.8 |
3.7 |
| %
Personal Service Businesses |
19.6 |
24.4 |
15.7 |
| %
Business Service Businesses |
10.8 |
12.4 |
12.1 |
| %
Automobile Service Businesses |
5.9 |
4.3 |
7.7 |
| %
Education & Government Businesses |
14.7 |
13.9 |
11.5 |
| %Other |
0 |
0 |
0.2 |
|
|
|
|
