Knowledge of current and changing school, school district and children's demographics are essential for many reasons.
These demographics form the basis for:
planning for infrastructure to meet the needs of educational programs;
understanding the changing landscape of clientele/populations
served by businesses, associations and government;
analyzing performance and educational progress;
assessing population flows schools to college, workforce and otherwise;
examining societal needs and community impact of school
and post-school age populations.
ProximityOne Demographic Estimates & Projections
Proximity develops national scope school/school district/multi-area annual estimates and 5 year projections of selected public and private K-12 school
and school district characteristics. Estimates and projections are developed using models that simultaneously produce
multi-area estimates and projections by school,
school district, census tract, ZIP code tabulation area, city/place, county, metro, congressional district, state and U.S.
Estimates and Projections Schedule 2010-2013 2010 Estimates and Projections Vintage 2010.1. (Aug 2010)
Current estimates (for 7-1-2010) and projections (for 7-1-2014) are for school district boundaries defined as of the 2007-08 school year
and schools as of the 2009-10 school year.
Vintage 2010.1 estimates and projections make use of data from Census 2000, ACS 06-08 3-year programs
(and associated ACS school district special tabulations); school and school district administrative data;
2010
multi-area estimates and projections (for the same period); ProximityOne school census and related data.
Vintage 2010.2. (Feb 2011)
Current estimates (for 7-1-2010) and projections (for 7-1-2014) are for school district boundaries defined as of the 2009-10 school year
and schools as of the 2009-10 school year.
Vintage 2010.2 estimates and projections make use of data from Census 2000, ACS 05-09 5 year, ACS 07-09 3-year and ACS 2009 1 year programs
(and associated ACS school district special tabulations); school and school district administrative data;
2010
multi-area estimates and projections (for the same period); ProximityOne school census and related data.
2011 Estimates and Projections (Feb 2012)
Current estimates (for 7-1-2010, 7-1-2011) and projections (7-1-2012:7-1-2015) are for school district boundaries and schools defined as of the 2009-10 school year.
The 2011 estimates and projections make use of data from Census 2010, ACS 06-10 5 year, ACS 08-10 3-year and ACS 2010 1 year programs
(and associated ACS school district special tabulations); school and school district administrative data;
2011 multi-area
estimates and projections (for the same period); ProximityOne school census and related data.
2012 Estimates and Projections (Feb 2013)
Estimates (7-1-2010:7-1-2012) and projections (7-1-2013:7-1-2016) are for school district boundaries and schools defined as of the 2010-11 school year.
The 2012 estimates and projections make use of data from Census 2010, ACS 07-11 5 year, ACS 09-11 3-year and ACS 2011 1 year programs
(and associated ACS school district special tabulations); school and school district administrative data;
2012 multi-area
estimates and projections (for the same period); ProximityOne school census and related data.
Enrollment Universes
Estimates and projections are developed for several population universes for all geographic areas (not schools).
These universes are the same as used in the annual American Community Survey (ACS) School District Special Tabulation (SDST) sponsored by the
U.S. Department of Education. The ACS SDST data are integrated into the development of the estimates and projections.
Approximately 600 population and housing subject matter items are estimated in the annual ACS SDST for each of the following universes:
RC
Grade relevant children, ages 0-19 NHSG -- Enrolled and not Enrolled
Grade relevant children, ages 0-19 NHSG -- Not Enrolled
A subset of the ACS SDST items are estimated/projected for each of the above universes.
"Grade relevant" refers to the population of ages who are in grades offered by the school district.
The "grade relevant population ages 5-17 enrolled in public school" closely approximates the public school district enrollment.
School District/Multi-Area Geography Subject Matter Fields
More than 200 subject matter items are estimated/projected annually for each public and private school
(SchoolBase, see below).
More than 1,000 subject matter items are estimated/projected annually for each
school district, census tract, ZCTA, city/place, county, metro, congressional district, state and the U.S.
(the "multi-area" geography) for the
total population and each of the enrollment universes.
Four types of demographic profiles (general demographics, social characteristics, economic characteristics,
housing characteristics) are developed using the multi-area estimates and projections.
In total, approximately 6,000 subject matter items are estimated/projected for each type of multi-area geography.
The scope of subject matter is illustrated in the expanding text section below.
While this profile is for a school district, a similar set of data are available for each
of the multi-area geographies.
Items shown here are for the total population. Estimate and projection items are iterated by enrollment type (see above).
Database item/field number shown at left in relevant rows.
Klein Independent School District, Texas Demographic Characteristics, 2008
SEX AND AGE
D001
Total population
214,537
214,537
D002
Male
110,503
51.5%
D003
Female
104,034
48.5%
D004
Under 5 years
19,255
9.0%
D005
5 to 9 years
14,962
7.0%
D006
10 to 14 years
17,641
8.2%
D007
15 to 19 years
17,910
8.3%
D008
20 to 24 years
14,948
7.0%
D009
25 to 34 years
24,436
11.4%
D010
35 to 44 years
31,669
14.8%
D011
45 to 54 years
33,781
15.7%
D012
55 to 59 years
14,713
6.9%
D013
60 to 64 years
8,861
4.1%
D014
65 to 74 years
9,604
4.5%
D015
75 to 84 years
5,811
2.7%
D016
85 years and over
946
0.4%
D017
Median age (years)
34
(X)
D018
18 years and over
151,447
70.6%
D019
21 years and over
141,349
65.9%
D020
62 years and over
21,695
10.1%
D021
65 years and over
16,361
7.6%
D022
18 years and over
151,447
151,447
D023
Male
78,352
51.7%
D024
Female
73,095
48.3%
D025
65 years and over
16,361
16,361
D026
Male
8,539
52.2%
D027
Female
7,822
47.8%
RACE
D028
Total population
214,537
214,537
D029
One race
208,751
97.3%
D030
Two or more races
5,786
2.7%
D031
One race
208,751
97.3%
D032
White
143,902
67.1%
D033
Black or African American
23,209
10.8%
D034
American Indian and Alaska Native
446
0.2%
D035
Cherokee tribal grouping
-1
N
D036
Chippewa tribal grouping
-1
N
D037
Navajo tribal grouping
-1
N
D038
Sioux tribal grouping
-1
N
D039
Asian
16,442
7.7%
D040
Asian Indian
4,677
2.2%
D041
Chinese
1,336
0.6%
D042
Filipino
2,509
1.2%
D043
Japanese
647
0.3%
D044
Korean
0
0.0%
D045
Vietnamese
4,320
2.0%
D046
Other Asian
2,953
1.4%
D047
Native Hawaiian and Other Pacific Islander
735
0.3%
D048
Native Hawaiian
-1
N
D049
Guamanian or Chamorro
-1
N
D050
Samoan
-1
N
D051
Other Pacific Islander
-1
N
D052
Some other race
24,017
11.2%
D053
Two or more races
5,786
2.7%
D054
White and Black or African American
1,016
0.5%
D055
White and American Indian and Alaska Native
593
0.3%
D056
White and Asian
1,325
0.6%
D057
Black or African American and American Indian and Alaska Native
942
0.4%
Race alone or in combination with one or more other races
D058
Total population
214,537
214,537
D059
White
148,242
69.1%
D060
Black or African American
26,091
12.2%
D061
American Indian and Alaska Native
2,290
1.1%
D062
Asian
18,139
8.5%
D063
Native Hawaiian and Other Pacific Islander
-1
N
D064
Some other race
25,473
11.9%
HISPANIC OR LATINO AND RACE
D065
Total population
214,537
214,537
D066
Hispanic or Latino (of any race)
48,105
22.4%
D067
Mexican
32,468
15.1%
D068
Puerto Rican
1,587
0.7%
D069
Cuban
346
0.2%
D070
Other Hispanic or Latino
13,704
6.4%
D071
Not Hispanic or Latino
166,432
77.6%
D072
White alone
120,441
56.1%
D073
Black or African American alone
22,853
10.7%
D074
American Indian and Alaska Native alone
446
0.2%
D075
Asian alone
16,239
7.6%
D076
Native Hawaiian and Other Pacific Islander alone
735
0.3%
D077
Some other race alone
1,688
0.8%
D078
Two or more races
4,030
1.9%
D079
Two races including Some other race
504
0.2%
D080
Two races excluding Some other race, and Three or more races
3,526
1.6%
D081
Total housing units
74,775
(X)
Klein Independent School District, Texas Social Characteristics, 2008
HOUSEHOLDS BY TYPE
S001
Total households
70,701
70,701
S002
Family households (families)
56,707
80.2%
S003
With own children under 18 years
29,503
41.7%
S004
Married-couple family
45,896
64.9%
S005
With own children under 18 years
22,668
32.1%
S006
Male householder, no wife present, family
3,751
5.3%
S007
With own children under 18 years
1,916
2.7%
S008
Female householder, no husband present, family
7,060
10.0%
S009
With own children under 18 years
4,919
7.0%
S010
Nonfamily households
13,994
19.8%
S011
Householder living alone
11,683
16.5%
S012
65 years and over
2,556
3.6%
S013
Households with one or more people under 18 years
31,398
44.4%
S014
Households with one or more people 65 years and over
11,300
16.0%
S015
Average household size
3.0
(X)
S016
Average family size
3.4
(X)
RELATIONSHIP
S017
Population in households
214,537
214,537
S018
Householder
70,701
33.0%
S019
Spouse
46,220
21.5%
S020
Child
78,047
36.4%
S021
Other relatives
12,728
5.9%
S022
Nonrelatives
6,841
3.2%
S023
Unmarried partner
2,560
1.2%
MARITAL STATUS
S024
Males 15 years and over
85,608
85,608
S025
Never married
25,633
29.9%
S026
Now married, except separated
50,950
59.5%
S027
Separated
703
0.8%
S028
Widowed
1,267
1.5%
S029
Divorced
7,055
8.2%
S030
Females 15 years and over
77,071
77,071
S031
Never married
16,532
21.5%
S032
Now married, except separated
48,252
62.6%
S033
Separated
996
1.3%
S034
Widowed
3,813
4.9%
S035
Divorced
7,478
9.7%
FERTILITY
S036
Number of women 15 to 50 years old who had a birth in the past 12 months
3,140
3,140
S037
Unmarried women (widowed, divorced, and never married)
662
21.1%
S038
Per 1,000 unmarried women
33
(X)
S039
Per 1,000 women 15 to 50 years old
62
(X)
S040
Per 1,000 women 15 to 19 years old
55
(X)
S041
Per 1,000 women 20 to 34 years old
113
(X)
S042
Per 1,000 women 35 to 50 years old
28
(X)
GRANDPARENTS
S043
Number of grandparents living with own grandchildren under 18 years
-1
N
S044
Responsible for grandchildren
-1
N
Years responsible for grandchildren
S045
Less than 1 year
-1
N
S046
1 or 2 years
-1
N
S047
3 or 4 years
-1
N
S048
5 or more years
-1
N
S049
Number of grandparents responsible for own grandchildren under 18 years
-1
N
S050
Who are female
726
55.7%
S051
Who are married
-1
N
SCHOOL ENROLLMENT
S052
Population 3 years and over enrolled in school
65,655
65,655
S053
Nursery school, preschool
4,707
7.2%
S054
Kindergarten
3,640
5.5%
S055
Elementary school (grades 1-8)
27,222
41.5%
S056
High school (grades 9-12)
14,650
22.3%
S057
College or graduate school
15,436
23.5%
EDUCATIONAL ATTAINMENT
S058
Population 25 years and over
129,821
129,821
S059
Less than 9th grade
5,385
4.1%
S060
9th to 12th grade, no diploma
7,095
5.5%
S061
High school graduate (includes equivalency)
26,678
20.5%
S062
Some college, no degree
33,564
25.9%
S063
Associate's degree
9,439
7.3%
S064
Bachelor's degree
35,136
27.1%
S065
Graduate or professional degree
12,524
9.6%
S066
Percent high school graduate or higher
90.4
(X)
S067
Percent bachelor's degree or higher
36.7
(X)
VETERAN STATUS
S068
Civilian population 18 years and over
151,205
151,205
S069
Civilian veterans
12,459
8.2%
DISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATION
S070
Total Civilian Noninstitutionalized Population
214,295
214,295
S071
With a disability
13,739
6.4%
S072
Under 18 years
63,090
63,090
S073
With a disability
1,372
2.2%
S074
18 to 64 years
134,844
134,844
S075
With a disability
7,815
5.8%
S076
65 years and over
16,361
16,361
S077
With a disability
4,552
27.8%
RESIDENCE 1 YEAR AGO
S078
Population 1 year and over
211,596
211,596
S079
Same house
181,086
85.6%
S080
Different house in the U.S.
30,236
14.3%
S081
Same county
18,192
8.6%
S082
Different county
12,044
5.7%
S083
Same state
3,133
1.5%
S084
Different state
8,911
4.2%
S085
Abroad
274
0.1%
PLACE OF BIRTH
S086
Total population
214,537
214,537
S087
Native
176,474
82.3%
S088
Born in United States
173,781
81.0%
S089
State of residence
105,298
49.1%
S090
Different state
68,483
31.9%
S091
Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)
2,693
1.3%
S092
Foreign born
38,063
17.7%
U.S. CITIZENSHIP STATUS
S093
Foreign-born population
38,063
38,063
S094
Naturalized U.S. citizen
15,918
41.8%
S095
Not a U.S. citizen
22,145
58.2%
YEAR OF ENTRY
S096
Population born outside the United States
40,756
40,756
S097
Native
2,693
2,693
S098
Entered 2000 or later
658
24.4%
S099
Entered before 2000
2,035
75.6%
S100
Foreign born
38,063
38,063
S101
Entered 2000 or later
9,957
26.2%
S102
Entered before 2000
28,106
73.8%
WORLD REGION OF BIRTH OF FOREIGN BORN
S103
Foreign-born population, excluding population born at sea
-1
N
S104
Europe
-1
N
S105
Asia
-1
N
S106
Africa
-1
N
S107
Oceania
-1
N
S108
Latin America
-1
N
S109
Northern America
-1
N
LANGUAGE SPOKEN AT HOME
S110
Population 5 years and over
195,282
195,282
S111
English only
142,160
72.8%
S112
Language other than English
53,122
27.2%
S113
Speak English less than "very well"
25,044
12.8%
S114
Spanish
36,710
18.8%
S115
Speak English less than "very well"
18,109
9.3%
S116
Other Indo-European languages
5,349
2.7%
S117
Speak English less than "very well"
1,108
0.6%
S118
Asian and Pacific Islander languages
10,013
5.1%
S119
Speak English less than "very well"
5,417
2.8%
S120
Other languages
1,050
0.5%
S121
Speak English less than "very well"
410
0.2%
ANCESTRY
S122
Total population
214,537
214,537
S123
American
9,195
4.3%
S124
Arab
1,038
0.5%
S125
Czech
3,442
1.6%
S126
Danish
924
0.4%
S127
Dutch
1,412
0.7%
S128
English
23,324
10.9%
S129
French (except Basque)
6,027
2.8%
S130
French Canadian
881
0.4%
S131
German
35,031
16.3%
S132
Greek
264
0.1%
S133
Hungarian
822
0.4%
S134
Irish
22,870
10.7%
S135
Italian
6,873
3.2%
S136
Lithuanian
215
0.1%
S137
Norwegian
1,858
0.9%
S138
Polish
3,394
1.6%
S139
Portuguese
1,015
0.5%
S140
Russian
218
0.1%
S141
Scotch-Irish
2,492
1.2%
S142
Scottish
4,620
2.2%
S143
Slovak
361
0.2%
S144
Subsaharan African
1,318
0.6%
S145
Swedish
1,438
0.7%
S146
Swiss
510
0.2%
S147
Ukrainian
148
0.1%
S148
Welsh
923
0.4%
S149
West Indian (excluding Hispanic origin groups)
680
0.3%
Klein Independent School District, Texas Economic Characteristics, 2008
EMPLOYMENT STATUS
E001
Population 16 years and over
159,036
159,036
E002
In labor force
118,213
74.3%
E003
Civilian labor force
117,971
74.2%
E004
Employed
113,818
71.6%
E005
Unemployed
4,153
2.6%
E006
Armed Forces
242
0.2%
E007
Not in labor force
40,823
25.7%
E008
Civilian labor force
117,971
117,971
E009
Percent Unemployed
3.5
(X)
E010
Females 16 years and over
75,609
75,609
E011
In labor force
49,729
65.8%
E012
Civilian labor force
49,640
65.7%
E013
Employed
48,510
64.2%
E014
Own children under 6 years
21,888
21,888
E015
All parents in family in labor force
12,566
57.4%
E016
Own children 6 to 17 years
39,601
39,601
E017
All parents in family in labor force
26,092
65.9%
COMMUTING TO WORK
E018
Workers 16 years and over
112,278
112,278
E019
Car, truck, or van -- drove alone
91,585
81.6%
E020
Car, truck, or van -- carpooled
8,461
7.5%
E021
Public transportation (excluding taxicab)
3,922
3.5%
E022
Walked
1,068
1.0%
E023
Other means
1,109
1.0%
E024
Worked at home
6,133
5.5%
E025
Mean travel time to work (minutes)
32.7
(X)
OCCUPATION
E026
Civilian employed population 16 years and over
113,818
113,818
E027
Management, professional, and related occupations
43,536
38.3%
E028
Service occupations
15,812
13.9%
E029
Sales and office occupations
32,286
28.4%
E030
Farming, fishing, and forestry occupations
58
0.1%
E031
Construction, extraction, maintenance and repair occupations
9,999
8.8%
E032
Production, transportation, and material moving occupations
12,127
10.7%
INDUSTRY
E033
Civilian employed population 16 years and over
113,818
113,818
E034
Agriculture, forestry, fishing and hunting, and mining
5,396
4.7%
E035
Construction
9,886
8.7%
E036
Manufacturing
11,677
10.3%
E037
Wholesale trade
5,204
4.6%
E038
Retail trade
14,281
12.5%
E039
Transportation and warehousing, and utilities
7,958
7.0%
E040
Information
1,983
1.7%
E041
Finance and insurance, and real estate and rental and leasing
9,899
8.7%
E042
Professional, scientific, and management, and administrative and waste management services
12,560
11.0%
E043
Educational services, and health care and social assistance
19,153
16.8%
E044
Arts, entertainment, and recreation, and accommodation, and food services
8,180
7.2%
E045
Other services, except public administration
4,395
3.9%
E046
Public administration
3,246
2.9%
CLASS OF WORKER
E047
Civilian employed population 16 years and over
113,818
113,818
E048
Private wage and salary workers
94,240
82.8%
E049
Government workers
11,889
10.4%
E050
Self-employed workers in own not incorporated business
7,689
6.8%
E051
Unpaid family workers
0
0.0%
INCOME AND BENEFITS (IN 2008 INFLATION-ADJUSTED DOLLARS)
E052
Total households
70,701
70,701
E053
Less than $10,000
1,554
2.2%
E054
$10,000 to $14,999
1,330
1.9%
E055
$15,000 to $24,999
3,708
5.2%
E056
$25,000 to $34,999
5,090
7.2%
E057
$35,000 to $49,999
8,100
11.5%
E058
$50,000 to $74,999
13,806
19.5%
E059
$75,000 to $99,999
10,736
15.2%
E060
$100,000 to $149,999
13,169
18.6%
E061
$150,000 to $199,999
6,806
9.6%
E062
$200,000 or more
6,402
9.1%
E063
Median household income (dollars)
77,699
(X)
E064
Mean household income (dollars)
98,933
(X)
E065
With earnings
65,279
92.3%
E066
Mean earnings (dollars)
96,494
(X)
E067
With Social Security
11,411
16.1%
E068
Mean Social Security income (dollars)
18,048
(X)
E069
With retirement income
7,779
11.0%
E070
Mean retirement income (dollars)
24,355
(X)
E071
With Supplemental Security Income
680
1.0%
E072
Mean Supplemental Security Income (dollars)
11,461
(X)
E073
With cash public assistance income
546
0.8%
E074
Mean cash public assistance income (dollars)
3,901
(X)
E075
With Food Stamp benefits in the past 12 months
1,398
2.0%
E076
Families
56,707
56,707
E077
Less than $10,000
720
1.3%
E078
$10,000 to $14,999
556
1.0%
E079
$15,000 to $24,999
2,280
4.0%
E080
$25,000 to $34,999
3,780
6.7%
E081
$35,000 to $49,999
5,924
10.4%
E082
$50,000 to $74,999
10,383
18.3%
E083
$75,000 to $99,999
9,136
16.1%
E084
$100,000 to $149,999
11,700
20.6%
E085
$150,000 to $199,999
6,474
11.4%
E086
$200,000 or more
5,754
10.1%
E087
Median family income (dollars)
86,713
(X)
E088
Mean family income (dollars)
106,846
(X)
E089
Per capita income (dollars)
33,518
(X)
E090
Nonfamily households
13,994
13,994
E091
Median nonfamily income (dollars)
50,076
(X)
E092
Mean nonfamily income (dollars)
62,813
(X)
E093
Median earnings for workers (dollars)
39,558
(X)
E094
Median earnings for male full-time, year-round workers (dollars)
56,029
(X)
E095
Median earnings for female full-time, year-round workers (dollars)
41,566
(X)
PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL
E096
All families
3.8
(X)
E097
With related children under 18 years
5.3
(X)
E098
With related children under 5 years only
4.1
(X)
E099
Married couple families
1.8
(X)
E100
With related children under 18 years
3.0
(X)
E101
With related children under 5 years only
0.0
(X)
E102
Families with female householder, no husband present
13.6
(X)
E103
With related children under 18 years
16.3
(X)
E104
With related children under 5 years only
25.5
(X)
E105
All people
5.0
(X)
E106
Under 18 years
7.4
(X)
E107
Related children under 18 years
7.0
(X)
E108
Related children under 5 years
8.6
(X)
E109
Related children 5 to 17 years
6.2
(X)
E110
18 years and over
4.1
(X)
E111
18 to 64 years
4.1
(X)
E112
65 years and over
3.5
(X)
E113
People in families
4.4
(X)
E114
Unrelated individuals 15 years and over
10.8
(X)
Klein Independent School District, Texas Housing Characteristics, 2008
HOUSING OCCUPANCY
H001
Total housing units
74,775
74,775
H002
Occupied housing units
70,701
94.6%
H003
Vacant housing units
4,074
5.4%
H004
Homeowner vacancy rate
3.5
(X)
H005
Rental vacancy rate
9
(X)
UNITS IN STRUCTURE
H006
Total housing units
74,775
74,775
H007
1-unit, detached
60,618
81.1%
H008
1-unit, attached
1,742
2.3%
H009
2 units
0
0.0%
H010
3 or 4 units
1,166
1.6%
H011
5 to 9 units
1,484
2.0%
H012
10 to 19 units
4,304
5.8%
H013
20 or more units
2,461
3.3%
H014
Mobile home
2,942
3.9%
H015
Boat, RV, van, etc.
58
0.1%
YEAR STRUCTURE BUILT
H016
Total housing units
74,775
74,775
H017
Built 2005 or later
10,173
13.6%
H018
Built 2000 to 2004
12,441
16.6%
H019
Built 1990 to 1999
12,771
17.1%
H020
Built 1980 to 1989
19,016
25.4%
H021
Built 1970 to 1979
17,605
23.5%
H022
Built 1960 to 1969
1,405
1.9%
H023
Built 1950 to 1959
705
0.9%
H024
Built 1940 to 1949
192
0.3%
H025
Built 1939 or earlier
467
0.6%
ROOMS
H026
Total housing units
74,775
74,775
H027
1 room
454
0.6%
H028
2 rooms
2,091
2.8%
H029
3 rooms
3,591
4.8%
H030
4 rooms
5,824
7.8%
H031
5 rooms
9,898
13.2%
H032
6 rooms
11,110
14.9%
H033
7 rooms
10,691
14.3%
H034
8 rooms
9,918
13.3%
H035
9 rooms or more
21,198
28.3%
H036
Median rooms
6.9
(X)
BEDROOMS
H037
Total housing units
74,775
74,775
H038
No bedroom
884
1.2%
H039
1 bedroom
4,180
5.6%
H040
2 bedrooms
8,004
10.7%
H041
3 bedrooms
25,637
34.3%
H042
4 bedrooms
29,476
39.4%
H043
5 or more bedrooms
6,594
8.8%
HOUSING TENURE
H044
Occupied housing units
70,701
70,701
H045
Owner-occupied
57,106
80.8%
H046
Renter-occupied
13,595
19.2%
H047
Average household size of owner-occupied unit
3.1
(X)
H048
Average household size of renter-occupied unit
2.8
(X)
YEAR HOUSEHOLDER MOVED INTO UNIT
H049
Occupied housing units
70,701
70,701
H050
Moved in 2005 or later
29,954
42.4%
H051
Moved in 2000 to 2004
18,797
26.6%
H052
Moved in 1990 to 1999
14,553
20.6%
H053
Moved in 1980 to 1989
4,232
6.0%
H054
Moved in 1970 to 1979
2,817
4.0%
H055
Moved in 1969 or earlier
348
0.5%
VEHICLES AVAILABLE
H056
Occupied housing units
70,701
70,701
H057
No vehicles available
1,023
1.4%
H058
1 vehicle available
18,220
25.8%
H059
2 vehicles available
34,364
48.6%
H060
3 or more vehicles available
17,094
24.2%
HOUSE HEATING FUEL
H061
Occupied housing units
70,701
70,701
H062
Utility gas
-1
N
H063
Bottled, tank, or LP gas
-1
N
H064
Electricity
-1
N
H065
Fuel oil, kerosene, etc.
-1
N
H066
Coal or coke
-1
N
H067
Wood
-1
N
H068
Solar energy
-1
N
H069
Other fuel
-1
N
H070
No fuel used
-1
N
SELECTED CHARACTERISTICS
H071
Occupied housing units
70,701
70,701
H072
Lacking complete plumbing facilities
1,557
2.2%
H073
Lacking complete kitchen facilities
1,604
2.3%
H074
No telephone service available
1,877
2.7%
OCCUPANTS PER ROOM
H075
Occupied housing units
70,701
70,701
H076
1.00 or less
68,808
97.3%
H077
1.01 to 1.50
1,562
2.2%
H078
1.51 or more
331
0.5%
VALUE
H079
Owner-occupied units
57,106
57,106
H080
Less than $50,000
1,614
2.8%
H081
$50,000 to $99,999
6,070
10.6%
H082
$100,000 to $149,999
16,460
28.8%
H083
$150,000 to $199,999
15,048
26.4%
H084
$200,000 to $299,999
11,845
20.7%
H085
$300,000 to $499,999
4,287
7.5%
H086
$500,000 to $999,999
1,608
2.8%
H087
$1,000,000 or more
174
0.3%
H088
Median (dollars)
160,800
(X)
MORTGAGE STATUS
H089
Owner-occupied units
57,106
57,106
H090
Housing units with a mortgage
45,755
80.1%
H091
Housing units without a mortgage
11,351
19.9%
SELECTED MONTHLY OWNER COSTS (SMOC)
H092
Housing units with a mortgage
45,755
45,755
H093
Less than $300
0
0.0%
H094
$300 to $499
51
0.1%
H095
$500 to $699
673
1.5%
H096
$700 to $999
3,271
7.1%
H097
$1,000 to $1,499
14,046
30.7%
H098
$1,500 to $1,999
14,062
30.7%
H099
$2,000 or more
13,652
29.8%
H100
Median (dollars)
1,654
(X)
H101
Housing units without a mortgage
11,351
11,351
H102
Less than $100
38
0.3%
H103
$100 to $199
123
1.1%
H104
$200 to $299
584
5.1%
H105
$300 to $399
1,167
10.3%
H106
$400 or more
9,439
83.2%
H107
Median (dollars)
591
(X)
SELECTED MONTHLY OWNER COSTS AS A PERCENTAGE OF HOUSEHOLD INCOME (SMOCAPI)
H108
Housing units with a mortgage (excluding units where SMOCAPI cannot be computed)
45,689
45,689
H109
Less than 20.0 percent
19,758
43.2%
H110
20.0 to 24.9 percent
7,724
16.9%
H111
25.0 to 29.9 percent
4,438
9.7%
H112
30.0 to 34.9 percent
3,546
7.8%
H113
35.0 percent or more
10,223
22.4%
H114
Not computed
66
(X)
H115
Housing unit without a mortgage (excluding units where SMOCAPI cannot be computed)
11,151
11,151
H116
Less than 10.0 percent
5,024
45.1%
H117
10.0 to 14.9 percent
2,670
23.9%
H118
15.0 to 19.9 percent
1,412
12.7%
H119
20.0 to 24.9 percent
688
6.2%
H120
25.0 to 29.9 percent
450
4.0%
H121
30.0 to 34.9 percent
257
2.3%
H122
35.0 percent or more
650
5.8%
H123
Not computed
200
(X)
GROSS RENT
H124
Occupied units paying rent
-1
N
H125
Less than $200
-1
N
H126
$200 to $299
-1
N
H127
$300 to $499
-1
N
H128
$500 to $749
-1
N
H129
$750 to $999
-1
N
H130
$1,000 to $1,499
-1
N
H131
$1,500 or more
-1
N
H132
Median (dollars)
894
(X)
H133
No rent paid
-1
(X)
GROSS RENT AS A PERCENTAGE OF HOUSEHOLD INCOME (GRAPI)
H134
Occupied units paying rent (excluding units where GRAPI cannot be computed)
12,699
12,699
H135
Less than 15.0 percent
1,744
13.7%
H136
15.0 to 19.9 percent
2,446
19.3%
H137
20.0 to 24.9 percent
1,812
14.3%
H138
25.0 to 29.9 percent
1,289
10.2%
H139
30.0 to 34.9 percent
1,014
8.0%
H140
35.0 percent or more
4,394
34.6%
H141
Not computed
896
(X)
Source: ProximityOne based on American Community Survey Usage Notes: Value of -1 indicates item not tabulated for this area. (X) indicates not applicable.
SchoolBase
The ProximityOne SchoolBase contains a data record for each of the approximate 135,000 U.S. public and private K-12 schools.
SchoolBase was initially developed using school-level data reported by state education agencies (SEA).
Annually updated SEA school attributes are included in SchoolBase.
New schools, dissolved schools, and changes to school grade structures are monitored continuously.
Changes to individual school attributes are updated in the school master database immediately and used in the
subsequent set of revised estimates, current estimates and projections.
The SchoolBase master record includes an accurate latitude-longitude for each school developed and updated by ProximityOne.
The latitude-longitude enables association of each school location with the corresponding census block geocode (and thus all higher level geography).
The school location census tract and contiguous tracts, plus a potentially extended tract set, serves as a pseudo attendance zone.
Database item/field number shown at left in relevant rows.
SC001
School Name
Krahn El
SC002
Address
9502 Eday
SC003
City
Klein, TX 77379-4315
SC004
Telephone
832-484-6500
SC005
District Name
Klein ISD
SC006
District/School Codes
Fed: 482574005880 St: 101915.101915113
SC007
Feeder School From
SC008
Feeder School To
SC009
County Name (StCty FIPS Code)
Harris (48201)
SC010
TractBlock Code
482010000000000
SC011
Congressional District Code
4810
SC012
Latitude/Longitude
30.012610 -95.560030
SC013
Grade Range
PK -- 05
SC014
Title I Eligibility
No
SC015
Status
Magnet: No ... Charter: No ... Shared: No
-- Year 1 --
-- Year 2 --
-- Year 3 --
SC016
Teachers, FTE
55.50
SC017
Total Students
935
SC018
Pupil/Teacher Ratio
16.80
Students by Selected Characteristics
SC019
Total Graded
935
SC020
Total Ungraded
-2
SC021
Total Free & Reduced Fee Lunch
219
SC022
Free Lunch
147
SC023
Reduced Fee Lunch
72
SC024
Migrant
-1
Students by Grade
SC025
Ungraded
-2
SC026
Prekindergarten
52
SC027
Kindergarten
126
SC028
Grade 1
154
SC029
Grade 2
162
SC030
Grade 3
128
SC031
Grade 4
147
SC032
Grade 5
166
SC033
Grade 6
-2
SC034
Grade 7
-2
SC035
Grade 8
-2
SC036
Grade 9
-2
SC037
Grade 10
-2
SC038
Grade 11
-2
SC039
Grade 12
-2
Students by Race/Ethnicity-Gender
SC040
White
493
SC041
Male
252
SC042
Female
241
SC043
Black
117
SC044
Male
67
SC045
Female
50
SC046
Amer Ind/Alaska Native
1
SC047
Male
1
SC048
Female
0
SC049
Asian/Pacific Islander
113
SC050
Male
56
SC051
Female
57
SC052
Hispanic
211
SC053
Male
115
SC054
Female
96
SC055
Total Multicultural
935
Students by Grade-Race/Ethnicity-Gender
SC056
Ungraded Students
-2
SC057
White, Male
-2
SC058
White, Female
-2
SC059
Black, Male
-2
SC060
Black, Female
-2
SC061
Amer Ind/Alaska Native, Male
-2
SC062
Amer Ind/Alaska Native, Female
-2
SC063
Asian/Pacific Islander, Male
-2
SC064
Asian/Pacific Islander, Female
-2
SC065
Hispanic, Male
-2
SC066
Hispanic, Female
-2
SC067
Prekindergarten Students
52
SC068
White, Male
11
SC069
White, Female
5
SC070
Black, Male
6
SC071
Black, Female
5
SC072
Amer Ind/Alaska Native, Male
0
SC073
Amer Ind/Alaska Native, Female
0
SC074
Asian/Pacific Islander, Male
8
SC075
Asian/Pacific Islander, Female
6
SC076
Hispanic, Male
7
SC077
Hispanic, Female
4
SC078
Kindergarten Students
126
SC079
White, Male
37
SC080
White, Female
33
SC081
Black, Male
9
SC082
Black, Female
9
SC083
Amer Ind/Alaska Native, Male
0
SC084
Amer Ind/Alaska Native, Female
0
SC085
Asian/Pacific Islander, Male
3
SC086
Asian/Pacific Islander, Female
7
SC087
Hispanic, Male
13
SC088
Hispanic, Female
15
SC089
Grade 1 Students
154
SC090
White, Male
35
SC091
White, Female
53
SC092
Black, Male
5
SC093
Black, Female
5
SC094
Amer Ind/Alaska Native, Male
0
SC095
Amer Ind/Alaska Native, Female
0
SC096
Asian/Pacific Islander, Male
14
SC097
Asian/Pacific Islander, Female
13
SC098
Hispanic, Male
15
SC099
Hispanic, Female
14
SC100
Grade 2 Students
162
SC101
White, Male
52
SC102
White, Female
40
SC103
Black, Male
14
SC104
Black, Female
10
SC105
Amer Ind/Alaska Native, Male
0
SC106
Amer Ind/Alaska Native, Female
0
SC107
Asian/Pacific Islander, Male
10
SC108
Asian/Pacific Islander, Female
9
SC109
Hispanic, Male
13
SC110
Hispanic, Female
14
SC111
Grade 3 Students
128
SC112
White, Male
34
SC113
White, Female
30
SC114
Black, Male
8
SC115
Black, Female
9
SC116
Amer Ind/Alaska Native, Male
0
SC117
Amer Ind/Alaska Native, Female
0
SC118
Asian/Pacific Islander, Male
9
SC119
Asian/Pacific Islander, Female
5
SC120
Hispanic, Male
20
SC121
Hispanic, Female
13
SC122
Grade 4 Students
147
SC123
White, Male
43
SC124
White, Female
44
SC125
Black, Male
10
SC126
Black, Female
3
SC127
Amer Ind/Alaska Native, Male
1
SC128
Amer Ind/Alaska Native, Female
0
SC129
Asian/Pacific Islander, Male
4
SC130
Asian/Pacific Islander, Female
6
SC131
Hispanic, Male
17
SC132
Hispanic, Female
19
SC133
Grade 5 Students
166
SC134
White, Male
40
SC135
White, Female
36
SC136
Black, Male
15
SC137
Black, Female
9
SC138
Amer Ind/Alaska Native, Male
0
SC139
Amer Ind/Alaska Native, Female
0
SC140
Asian/Pacific Islander, Male
8
SC141
Asian/Pacific Islander, Female
11
SC142
Hispanic, Male
30
SC143
Hispanic, Female
17
SC144
Grade 6 Students
-2
SC145
White, Male
-2
SC146
White, Female
-2
SC147
Black, Male
-2
SC148
Black, Female
-2
SC149
Amer Ind/Alaska Native, Male
-2
SC150
Amer Ind/Alaska Native, Female
-2
SC151
Asian/Pacific Islander, Male
-2
SC152
Asian/Pacific Islander, Female
-2
SC153
Hispanic, Male
-2
SC154
Hispanic, Female
-2
SC155
Grade 7 Students
-2
SC156
White, Male
-2
SC157
White, Female
-2
SC158
Black, Male
-2
SC159
Black, Female
-2
SC160
Amer Ind/Alaska Native, Male
-2
SC161
Amer Ind/Alaska Native, Female
-2
SC162
Asian/Pacific Islander, Male
-2
SC163
Asian/Pacific Islander, Female
-2
SC164
Hispanic, Male
-2
SC165
Hispanic, Female
-2
SC166
Grade 8 Students
-2
SC167
White, Male
-2
SC168
White, Female
-2
SC169
Black, Male
-2
SC170
Black, Female
-2
SC171
Amer Ind/Alaska Native, Male
-2
SC172
Amer Ind/Alaska Native, Female
-2
SC173
Asian/Pacific Islander, Male
-2
SC174
Asian/Pacific Islander, Female
-2
SC175
Hispanic, Male
-2
SC176
Hispanic, Female
-2
SC177
Grade 9 Students
-2
SC178
White, Male
-2
SC179
White, Female
-2
SC180
Black, Male
-2
SC181
Black, Female
-2
SC182
Amer Ind/Alaska Native, Male
-2
SC183
Amer Ind/Alaska Native, Female
-2
SC184
Asian/Pacific Islander, Male
-2
SC185
Asian/Pacific Islander, Female
-2
SC186
Hispanic, Male
-2
SC187
Hispanic, Female
-2
SC188
Grade 10 Students
-2
SC189
White, Male
-2
SC190
White, Female
-2
SC191
Black, Male
-2
SC192
Black, Female
-2
SC193
Amer Ind/Alaska Native, Male
-2
SC194
Amer Ind/Alaska Native, Female
-2
SC195
Asian/Pacific Islander, Male
-2
SC196
Asian/Pacific Islander, Female
-2
SC197
Hispanic, Male
-2
SC198
Hispanic, Female
-2
SC199
Grade 11 Students
-2
SC200
White, Male
-2
SC201
White, Female
-2
SC202
Black, Male
-2
SC203
Black, Female
-2
SC204
Amer Ind/Alaska Native, Male
-2
SC205
Amer Ind/Alaska Native, Female
-2
SC206
Asian/Pacific Islander, Male
-2
SC207
Asian/Pacific Islander, Female
-2
SC208
Hispanic, Male
-2
SC209
Hispanic, Female
-2
SC210
Grade 12 Students
-2
SC211
White, Male
-2
SC212
White, Female
-2
SC213
Black, Male
-2
SC214
Black, Female
-2
SC215
Amer Ind/Alaska Native, Male
-2
SC216
Amer Ind/Alaska Native, Female
-2
SC217
Asian/Pacific Islander, Male
-2
SC218
Asian/Pacific Islander, Female
-2
SC219
Hispanic, Male
-2
SC220
Hispanic, Female
-2
Source: ProximityOne based on School & School District data & related estimates.
Methodology & Geographic Relationships
Estimates and projections are developed using a simultaneous equation system of equations.
A basic model specification is used but models vary from area to area to reflect unique geographic and cause and effect situations.
Models are estimated using annual data and re-estimated as more recent data become available; published estimates and projections are then revised/updated.
The models use a combination of demographic, economic, environmental and infrastructure components.
The behavior of jointly dependent variables are specified in cause and effect and identity equations linking sectors into a holstic, dynamic system.
The models enable the development of multi-scenario estimates and projections
which might be viewed as more conservative or more liberal with regard to the magnitude and rates of change.
Published estimates and projections are considered to be the most likely, middle-of-the-road, outcomes.
Location, Location, Location. Population is born into, or moves in or out of, an area one person
at a time. Households evolve or dissolve one household at a time.
Housing units are built, modified,
or demolished one unit at a time, even though sometimes in multi-unit structures. Housing units are occupied
or vacated one unit at a time. And so on.
Where possible, our methodology makes use of as much micro-level data as feasible.
These data are very localized, to the extent of individual addresses.
We integrate a wide range of very localized data including existing housing units by address, housing sales,
building permits, tax parcel attributes, among others.
Linking Geography: GeoBase Equivalence File.
From a geospatial perspective, schools are treated as points (latitude-longitude locations) and areas (tracts,
school districts, etc.) are treated as polygons. Individual schools are related to areas by the GeoBase Equivalence File.
The equivalence file contains a record for each school and its corresponding census block, census block group,
census tract, school district,
city/place, ZIP code tabulation area, congressional district, county, state, among other areas. The equivalence file is used
to associate parts/component areas of higher level geography. The common geographic thread among all of these areas is the
census block.
Custom-Defined Territories: Census Tract Contiguity File.
A related Census Tract Contiguity File provides a list of all census tracts that touch any given census tract. The
contiguity file also contains a count of contiguity touch points between any two touching tracts. The contiguity file enables
development of custom defined territories that are comprised of contiguous tract sets, such as trade areas, sales territories
and school attendance zones. Geographic boundaries and estimates and projections are developed by ProximityOne for
pseudo school district attendance zones using contiguous tract territories.
Using demographic-economic measures of similarity between contiguous tracts, territories may be developed which tend to associate "most-like"
contiguous tracts. The evolution of a set of tracts representing a trade area or school attendance zone can proceed to grow until
some target measure is achieved (e.g. number of sales or students in a certain age group). This process can help organizations
develop more optimal territory geographic definitions for now and in consideration of future events.
Alternative Scenarios: What-ifs
The annual estimates and projections represent what we believe to be the mostly likely scenario.
Some analyses might like to apply other assumptions in the models. Develop low and high interval estimates and projections.
The Modeler software, structural models and underlying database are optionally available for users to produce alternative scenario
estimates and projections. Add-in custom impact and budgeting modeling. Assess the effect of alternative budget, infrastructure and/or policy variables.
Estimates & Projections Access
The demographic estimates and projections are available on a national or state-by-state basis in CSV format
and optionally integrated into shapefile format for use in GIS applications. CSV files are delivered electronically.
Data are also available in ProximityOne Enterprise server.
The demographic estimates and projections are also available in profile and comparative analysis formats by interactive Web access.
Custom Estimates & Projections
Proximity develops custom estimates and projections for enrollment and other demographics for schools, school districts and other geographies. These custom estimates utilize more localized data, such as tax parcel data and current building permit/housing start data, not feasible with the national scope estimates and projections. Analytical services and decision-making information solutions to education agencies and stakeholder organizations regarding use of these estimates and projections on a wide range of children’s and K-12 education issues.
Additional Information
Proximity develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses.
Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data.
Contact Proximity (888-364-7656) with questions about data covered in this section or to discuss
custom estimates, projections or analyses for your areas of interest.