Zip Code 17002

Zip Code 17002 Map

Zip Code 17002 Map

Zip Code 17002 Overview

500
TOTAL POPULATION
271
MALE POPULATION
229
FEMALE POPULATION
118.34
MALES / 100 FEMALES
84.50
FEMALES / 100 MALES
33.2
MEDIAN AGE
3.4
AVG FAMILY SIZE
3.3
AVG HOUSEHOLD SIZE
$26,632
PER CAPITA INCOME
$66,364
AVG FAMILY INCOME
$66,534
AVG HOUSEHOLD INCOME
49.9%
WAGE / INCOME GAP [ % ]
50.1¢/ $1
WAGE / INCOME GAP [ $ ]
0.42
INEQUALITY / GINI INDEX
219
LABOR FORCE [ PEOPLE ]
61.5%
PERCENT IN LABOR FORCE
2.7%
UNEMPLOYMENT RATE

Zip Code 17002 Area Codes

Race in Zip Code 17002

The most populous races in Zip Code 17002 are White / Caucasian (479 | 95.8%), Hispanic or Latino (13 | 2.6%), and Two or more Races (13 | 2.6%).
Race in Zip Code 17002
Race# Population% Population
Asian00.0%
Black / African American00.0%
Hawaiian / Pacific00.0%
Hispanic or Latino132.6%
Native / Alaskan00.0%
White / Caucasian47995.8%
Two or more Races132.6%
Some other Race81.6%
Total500100.0%

Ancestry in Zip Code 17002

The most populous ancestries reported in Zip Code 17002 are German (96 | 19.2%), Pennsylvania German (88 | 17.6%), Swiss (44 | 8.8%), American (30 | 6.0%), and English (20 | 4.0%), together accounting for 55.6% of all Zip Code 17002 residents.
Ancestry in Zip Code 17002
Ancestry# Population% Population
American306.0%
English204.0%
French81.6%
German9619.2%
Irish153.0%
Italian163.2%
Mexican30.6%
Norwegian40.8%
Paraguayan102.0%
Pennsylvania German8817.6%
Romanian30.6%
Slovak30.6%
South American102.0%
Swedish132.6%
Swiss448.8%
View All 15 Rows

Immigrants in Zip Code 17002

The most numerous immigrant groups reported in Zip Code 17002 came from Latin America (10 | 2.0%), and South America (10 | 2.0%), together accounting for 4.0% of all Zip Code 17002 residents.
Immigrants in Zip Code 17002
Immigration Origin# Population% Population
Latin America102.0%
South America102.0%
View All 2 Rows

Sex and Age in Zip Code 17002

Sex and Age in Zip Code 17002

The most populous age groups in Zip Code 17002 are 25 to 29 Years (36 | 13.3%) for men and 20 to 24 Years (26 | 11.4%) for women.
Sex and Age in Zip Code 17002
Age BracketMaleFemale
Under 5 Years32 (11.8%)7 (3.1%)
5 to 9 Years26 (9.6%)25 (10.9%)
10 to 14 Years35 (12.9%)9 (3.9%)
15 to 19 Years6 (2.2%)12 (5.2%)
20 to 24 Years16 (5.9%)26 (11.4%)
25 to 29 Years36 (13.3%)13 (5.7%)
30 to 34 Years14 (5.2%)18 (7.9%)
35 to 39 Years18 (6.6%)25 (10.9%)
40 to 44 Years19 (7.0%)4 (1.8%)
45 to 49 Years0 (0.0%)15 (6.6%)
50 to 54 Years12 (4.4%)3 (1.3%)
55 to 59 Years13 (4.8%)16 (7.0%)
60 to 64 Years12 (4.4%)17 (7.4%)
65 to 69 Years10 (3.7%)14 (6.1%)
70 to 74 Years10 (3.7%)7 (3.1%)
75 to 79 Years2 (0.7%)2 (0.9%)
80 to 84 Years4 (1.5%)8 (3.5%)
85 Years and over6 (2.2%)8 (3.5%)
Total271 (100.0%)229 (100.0%)

Families and Households in Zip Code 17002

Median Family Size in Zip Code 17002

The median family size in Zip Code 17002 is 3.43 persons per family, with married-couple families (124 | 91.2%) accounting for the largest median family size of 3.55 persons per family. On the other hand, single female/mother families (10 | 7.3%) represent the smallest median family size with 2.10 persons per family.
Median Family Size in Zip Code 17002
Family Type# FamiliesFamily Size
Married-Couple124 (91.2%)3.55
Single Male/Father2 (1.5%)2.50
Single Female/Mother10 (7.3%)2.10
Total Families136 (100.0%)3.43

Median Household Size in Zip Code 17002

The median household size in Zip Code 17002 is 3.27 persons per household, with married-couple households (124 | 81.0%) accounting for the largest median household size of 3.6 persons per household. non-family households (17 | 11.1%) represent the smallest median household size with 1.47 persons per household.
Median Household Size in Zip Code 17002
Household Type# HouseholdsHousehold Size
Married-Couple124 (81.0%)3.60
Single Male/Father2 (1.3%)3.50
Single Female/Mother10 (6.5%)2.10
Non-family17 (11.1%)1.47
Total Households153 (100.0%)3.27

Household Size by Marriage Status in Zip Code 17002

Out of a total of 153 households in Zip Code 17002, 136 (88.9%) are family households, while 17 (11.1%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 57, and the most common type of nonfamily households are 1-person households, comprising 14.
Household Size by Marriage Status in Zip Code 17002
Household SizeFamily HouseholdsNonfamily Households
1-Person Households-14 (9.1%)
2-Person Households57 (37.2%)0 (0.0%)
3-Person Households15 (9.8%)0 (0.0%)
4-Person Households38 (24.8%)3 (2.0%)
5-Person Households12 (7.8%)0 (0.0%)
6-Person Households12 (7.8%)0 (0.0%)
7+ Person Households2 (1.3%)0 (0.0%)
Total136 (88.9%)17 (11.1%)

Female Fertility in Zip Code 17002

Fertility by Age in Zip Code 17002

Average fertility rate in Zip Code 17002 is 35.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 70.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 100.0% of all women with births.
Female Fertility by Age in Zip Code 17002
Age BracketWomen with BirthsBirths / 1,000 Women
15 to 19 years0 (0.0%)0.0
20 to 34 years4 (100.0%)70.0
35 to 50 years0 (0.0%)0.0
Total4 (100.0%)35.0

Fertility by Age by Marriage Status in Zip Code 17002

Female Fertility by Age by Marriage Status in Zip Code 17002
Age BracketMarriedUnmarried
15 to 19 years0 (0.0%)0 (0.0%)
20 to 34 years4 (100.0%)0 (0.0%)
35 to 50 years0 (0.0%)0 (0.0%)
Total4 (100.0%)0 (0.0%)

Fertility by Education in Zip Code 17002

Female Fertility by Education Attainment in Zip Code 17002
Educational AttainmentWomen with BirthsBirths / 1,000 Women
Less than High School4 (100.0%)95.0
High School Diploma0 (0.0%)0.0
College or Associate's Degree0 (0.0%)0.0
Bachelor's Degree0 (0.0%)0.0
Graduate Degree0 (0.0%)0.0
Total4 (100.0%)35.0

Fertility by Education by Marriage Status in Zip Code 17002

Female Fertility by Education by Marriage Status in Zip Code 17002
Educational AttainmentMarriedUnmarried
Less than High School4 (100.0%)0 (0.0%)
High School Diploma0 (0.0%)0 (0.0%)
College or Associate's Degree0 (0.0%)0 (0.0%)
Bachelor's Degree0 (0.0%)0 (0.0%)
Graduate Degree0 (0.0%)0 (0.0%)
Total4 (100.0%)0 (0.0%)

Income in Zip Code 17002

Income Overview in Zip Code 17002

Per Capita Income in Zip Code 17002 is $26,632, while median incomes of families and households are $66,364 and $66,534 respectively.
CharacteristicNumberMeasure
Per Capita Income500$26,632
Median Family Income136$66,364
Mean Family Income136$88,714
Median Household Income153$66,534
Mean Household Income153$87,097
Income Deficit136$0
Wage / Income Gap (%)50049.86%
Wage / Income Gap ($)50050.14¢ per $1
Gini / Inequality Index5000.42

Earnings by Sex in Zip Code 17002

Average Earnings in Zip Code 17002 are $34,038, $44,250 for men and $22,188 for women, a difference of 49.9%.
Earnings by Sex in Zip Code 17002
SexNumberAverage Earnings
Male143 (61.1%)$44,250
Female91 (38.9%)$22,188
Total234 (100.0%)$34,038

Earnings by Sex by Income Bracket in Zip Code 17002

The most common earnings brackets in Zip Code 17002 are $30,000 to $34,999 for men (21 | 14.7%) and $25,000 to $29,999 for women (19 | 20.9%).
Earnings by Sex by Income Bracket in Zip Code 17002
IncomeMaleFemale
$2,499 or less14 (9.8%)6 (6.6%)
$2,500 to $4,9993 (2.1%)17 (18.7%)
$5,000 to $7,4990 (0.0%)4 (4.4%)
$7,500 to $9,9990 (0.0%)4 (4.4%)
$10,000 to $12,4992 (1.4%)5 (5.5%)
$12,500 to $14,9990 (0.0%)3 (3.3%)
$15,000 to $17,4990 (0.0%)3 (3.3%)
$17,500 to $19,9990 (0.0%)0 (0.0%)
$20,000 to $22,49912 (8.4%)4 (4.4%)
$22,500 to $24,9990 (0.0%)3 (3.3%)
$25,000 to $29,9992 (1.4%)19 (20.9%)
$30,000 to $34,99921 (14.7%)0 (0.0%)
$35,000 to $39,9997 (4.9%)3 (3.3%)
$40,000 to $44,99912 (8.4%)3 (3.3%)
$45,000 to $49,99911 (7.7%)6 (6.6%)
$50,000 to $54,99919 (13.3%)5 (5.5%)
$55,000 to $64,9995 (3.5%)3 (3.3%)
$65,000 to $74,9995 (3.5%)0 (0.0%)
$75,000 to $99,99921 (14.7%)0 (0.0%)
$100,000+9 (6.3%)3 (3.3%)
Total143 (100.0%)91 (100.0%)

Earnings by Sex by Educational Attainment in Zip Code 17002

Average earnings in Zip Code 17002 are $48,750 for men and $25,139 for women, a difference of 48.4%. Men with an educational attainment of college or associate's degree enjoy the highest average annual earnings of $88,750, while those with high school diploma education earn the least with $41,250. Women with an educational attainment of bachelor's degree earn the most with the average annual earnings of $38,333, while those with college or associate's degree education have the smallest earnings of $26,042.
Earnings by Sex by Educational Attainment in Zip Code 17002
Educational AttainmentMale IncomeFemale Income
Less than High School$51,154$0
High School Diploma$41,250$28,214
College or Associate's Degree$88,750$26,042
Bachelor's Degree--
Graduate Degree--
Total$48,750$25,139

Family Income in Zip Code 17002

Family Income Brackets in Zip Code 17002

According to the Zip Code 17002 family income data, there are 38 families falling into the $50,000 to $74,999 income range, which is the most common income bracket and makes up 27.9% of all families.
Family Income Brackets in Zip Code 17002
Income Bracket# Families% Families
Less than $10,00064.4%
$10,000 to $14,99900.0%
$15,000 to $24,99996.6%
$25,000 to $34,999128.8%
$35,000 to $49,9991914.0%
$50,000 to $74,9993827.9%
$75,000 to $99,9991611.8%
$100,000 to $149,9992820.6%
$150,000 to $199,99942.9%
$200,000+42.9%

Family Income by Famaliy Size in Zip Code 17002

3-person families (15 | 11.0%) account for the highest median family income in Zip Code 17002 with $117,813 per family, while 3-person families (15 | 11.0%) have the highest median income of $39,271 per family member.
Family Income by Famaliy Size in Zip Code 17002
Income Bracket# FamiliesMedian Income
2-Person Families59 (43.4%)$66,250
3-Person Families15 (11.0%)$117,813
4-Person Families38 (27.9%)$65,556
5-Person Families10 (7.3%)$68,333
6-Person Families12 (8.8%)$0
7+ Person Families2 (1.5%)$0
Total136 (100.0%)$66,364

Family Income by Number of Earners in Zip Code 17002

Family Income by Number of Earners in Zip Code 17002
Number of Earners# FamiliesMedian Income
No Earners16 (11.8%)$32,083
1 Earner53 (39.0%)$0
2 Earners46 (33.8%)$85,500
3+ Earners21 (15.4%)$85,938
Total136 (100.0%)$66,364

Household Income in Zip Code 17002

Household Income Brackets in Zip Code 17002

With 40 households falling in the category, the $50,000 to $74,999 income range is the most frequent in Zip Code 17002, accounting for 26.1% of all households.
Household Income Brackets in Zip Code 17002
Income Bracket# Households% Households
Less than $10,00063.9%
$10,000 to $14,99900.0%
$15,000 to $24,999117.2%
$25,000 to $34,999127.8%
$35,000 to $49,9992214.4%
$50,000 to $74,9994026.1%
$75,000 to $99,9992315.0%
$100,000 to $149,9993120.3%
$150,000 to $199,99942.6%
$200,000+42.6%

Household Income by Householder Age in Zip Code 17002

The median household income in Zip Code 17002 is $66,534, with the highest median household income of $70,417 found in the 45 to 64 years age bracket for the primary householder. A total of 41 households (26.8%) fall into this category.
Household Income by Householder Age in Zip Code 17002
Income Bracket# HouseholdsMedian Income
15 to 24 Years0 (0.0%)$0
25 to 44 Years70 (45.8%)$66,923
45 to 64 Years41 (26.8%)$70,417
65+ Years42 (27.5%)$39,167
Total153 (100.0%)$66,534

Poverty in Zip Code 17002

Income Below Poverty by Sex and Age in Zip Code 17002

With 17.0% poverty level for males and 15.0% for females among the residents of Zip Code 17002, 5 year old males and 16 and 17 year old females are the most vulnerable to poverty, with 4 males (100.0%) and 2 females (100.0%) in their respective age groups living below the poverty level.
Income Below Poverty by Sex and Age in Zip Code 17002
Age BracketMaleFemale
Under 5 Years5 (15.6%)0 (0.0%)
5 Years4 (100.0%)0 (0.0%)
6 to 11 Years11 (23.4%)6 (35.3%)
12 to 14 Years5 (50.0%)0 (0.0%)
15 Years0 (0.0%)7 (70.0%)
16 and 17 Years0 (0.0%)2 (100.0%)
18 to 24 Years8 (36.4%)0 (0.0%)
25 to 34 Years0 (0.0%)5 (16.1%)
35 to 44 Years6 (16.2%)3 (10.3%)
45 to 54 Years0 (0.0%)4 (22.2%)
55 to 64 Years6 (24.0%)3 (9.1%)
65 to 74 Years1 (5.0%)2 (9.5%)
75 Years and over0 (0.0%)2 (11.1%)
Total46 (17.0%)34 (15.0%)

Income Above Poverty by Sex and Age in Zip Code 17002

According to the poverty statistics in Zip Code 17002, males aged 25 to 34 years and females aged under 5 years are the age groups that are most secure financially, with 100.0% of males and 100.0% of females in these age groups living above the poverty line.
Income Above Poverty by Sex and Age in Zip Code 17002
Age BracketMaleFemale
Under 5 Years27 (84.4%)7 (100.0%)
5 Years0 (0.0%)11 (100.0%)
6 to 11 Years36 (76.6%)11 (64.7%)
12 to 14 Years5 (50.0%)4 (100.0%)
15 Years0 (0.0%)3 (30.0%)
16 and 17 Years0 (0.0%)0 (0.0%)
18 to 24 Years14 (63.6%)26 (100.0%)
25 to 34 Years50 (100.0%)26 (83.9%)
35 to 44 Years31 (83.8%)26 (89.7%)
45 to 54 Years12 (100.0%)14 (77.8%)
55 to 64 Years19 (76.0%)30 (90.9%)
65 to 74 Years19 (95.0%)19 (90.5%)
75 Years and over12 (100.0%)16 (88.9%)
Total225 (83.0%)193 (85.0%)

Income Below Poverty Among Married-Couple Families in Zip Code 17002

The poverty statistics for married-couple families in Zip Code 17002 show that 8.1% or 10 of the total 124 families live below the poverty line. Families with 5 or more children have the highest poverty rate of 100.0%, comprising of 2 families. On the other hand, families with 1 or 2 children have the lowest poverty rate of 0.0%, which includes 0 families.
Income Below Poverty Among Married-Couple Families in Zip Code 17002
ChildrenAbove PovertyBelow Poverty
No Children70 (95.9%)3 (4.1%)
1 or 2 Children32 (100.0%)0 (0.0%)
3 or 4 Children12 (70.6%)5 (29.4%)
5 or more Children0 (0.0%)2 (100.0%)
Total114 (91.9%)10 (8.1%)

Income Below Poverty Among Single-Parent Households in Zip Code 17002

Income Below Poverty Among Single-Parent Households in Zip Code 17002
ChildrenSingle FatherSingle Mother
No Children0 (0.0%)2 (40.0%)
1 or 2 Children0 (0.0%)3 (60.0%)
3 or 4 Children0 (0.0%)0 (0.0%)
5 or more Children0 (0.0%)0 (0.0%)
Total0 (0.0%)5 (50.0%)

Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 17002

The poverty data for Zip Code 17002 shows that 10 of the married-couple family households (8.1%) and 5 of the single-parent households (41.7%) are living below the poverty level. Within the married-couple family households, those with 5 or more children have the highest poverty rate, with 2 households (100.0%) falling below the poverty line. Among the single-parent households, those with 1 or 2 children have the highest poverty rate, with 3 household (60.0%) living below poverty.
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 17002
ChildrenMarried-Couple FamiliesSingle-Parent Households
No Children3 (4.1%)2 (28.6%)
1 or 2 Children0 (0.0%)3 (60.0%)
3 or 4 Children5 (29.4%)0 (0.0%)
5 or more Children2 (100.0%)0 (0.0%)
Total10 (8.1%)5 (41.7%)

Employment Characteristics in Zip Code 17002

Employment by Class of Employer in Zip Code 17002

Among the 208 employed individuals in Zip Code 17002, private company employees (138 | 66.3%), self-employed (not incorporated) (35 | 16.8%), and self-employed (incorporated) (13 | 6.2%) make up the most common classes of employment.
Employment by Class of Employer in Zip Code 17002
Employer Class# Employees% Employees
Private Company Employees13866.3%
Self-Employed (Incorporated)136.2%
Self-Employed (Not Incorporated)3516.8%
Not-for-profit Organizations125.8%
Local Government Employees52.4%
State Government Employees21.0%
Federal Government Employees31.4%
Unpaid Family Workers00.0%
Total208100.0%

Employment Status by Age in Zip Code 17002

According to the labor force statistics for Zip Code 17002, out of the total population over 16 years of age (356), 61.5% or 219 individuals are in the labor force, with 2.7% or 6 of them unemployed. The age group with the highest labor force participation rate is 45 to 54 years, with 100.0% or 30 individuals in the labor force. Within the labor force, the 20 to 24 years age range has the highest percentage of unemployed individuals, with 14.3% or 3 of them being unemployed.
Employment Status by Age in Zip Code 17002
Age BracketIn Labor ForceUnemployed
16 to 19 Years6 (75.0%)0 (0.0%)
20 to 24 Years21 (50.0%)3 (14.3%)
25 to 29 Years43 (87.8%)0 (0.0%)
30 to 34 Years19 (59.4%)0 (0.0%)
35 to 44 Years57 (86.4%)0 (0.0%)
45 to 54 Years30 (100.0%)3 (10.0%)
55 to 59 Years20 (69.0%)0 (0.0%)
60 to 64 Years8 (27.6%)0 (0.0%)
65 to 74 Years11 (26.8%)0 (0.0%)
75 Years and over4 (13.3%)0 (0.0%)
Total219 (61.5%)6 (2.7%)

Employment Status by Educational Attainment in Zip Code 17002

According to labor force statistics for Zip Code 17002, 75.3% of individuals (177) out of the total population between 25 and 64 years of age (235) are in the labor force, with 1.7% or 3 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of less than high school, with 77.5% or 79 individuals in the labor force. Within the labor force, individuals with college / associate degree education have the highest percentage of unemployment, with 15.0% or 3 of them being unemployed.
Employment Status by Educational Attainment in Zip Code 17002
Educational AttainmentIn Labor ForceUnemployed
Less than High School79 (77.5%)0 (0.0%)
High School Diploma68 (73.9%)0 (0.0%)
College / Associate Degree20 (76.9%)4 (15.0%)
Bachelor's Degree or higher10 (66.7%)0 (0.0%)
Total177 (75.3%)4 (1.7%)

Employment Occupations by Sex in Zip Code 17002

Management, Business, Science and Arts Occupations

The most common Management, Business, Science and Arts occupations in Zip Code 17002 are Management (20 | 9.4%), Community & Social Service (11 | 5.2%), and Education Instruction & Library (11 | 5.2%).
Management, Business, Science and Arts Occupations in Zip Code 17002

Management, Business, Science and Arts Occupations by Sex

Management, Business, Science and Arts Occupations by Sex in Zip Code 17002
OccupationMaleFemale
Management17 (85.0%)3 (15.0%)
Business & Financial0 (0.0%)0 (0.0%)
Computers, Engineering & Science0 (0.0%)0 (0.0%)
Computers & Mathematics0 (0.0%)0 (0.0%)
Architecture & Engineering0 (0.0%)0 (0.0%)
Life, Physical & Social Science0 (0.0%)0 (0.0%)
Community & Social Service 0 (0.0%)11 (100.0%)
Education, Arts & Media0 (0.0%)0 (0.0%)
Legal Services & Support0 (0.0%)0 (0.0%)
Education Instruction & Library0 (0.0%)11 (100.0%)
Arts, Media & Entertainment0 (0.0%)0 (0.0%)
Health Diagnosing & Treating0 (0.0%)0 (0.0%)
Health Technologists0 (0.0%)0 (0.0%)
Total (Category)17 (54.8%)14 (45.2%)
Total (Overall)139 (65.3%)74 (34.7%)

Services Occupations

The most common Services occupations in Zip Code 17002 are Food Preparation & Serving (11 | 5.2%), Cleaning & Maintenance (7 | 3.3%), Healthcare Support (3 | 1.4%), Personal Care & Service (3 | 1.4%), and Security & Protection (2 | 0.9%).
Services Occupations in Zip Code 17002

Services Occupations by Sex

Within the Services occupations in Zip Code 17002, the most male-oriented occupations are Security & Protection (100.0%), Law Enforcement (100.0%), and Food Preparation & Serving (45.5%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (100.0%), and Cleaning & Maintenance (57.1%).
Services Occupations by Sex in Zip Code 17002
OccupationMaleFemale
Healthcare Support0 (0.0%)3 (100.0%)
Security & Protection2 (100.0%)0 (0.0%)
Firefighting & Prevention0 (0.0%)0 (0.0%)
Law Enforcement2 (100.0%)0 (0.0%)
Food Preparation & Serving5 (45.5%)6 (54.5%)
Cleaning & Maintenance3 (42.9%)4 (57.1%)
Personal Care & Service0 (0.0%)3 (100.0%)
Total (Category)10 (38.5%)16 (61.5%)
Total (Overall)139 (65.3%)74 (34.7%)

Sales and Office Occupations

The most common Sales and Office occupations in Zip Code 17002 are Office & Administration (21 | 9.9%), and Sales & Related (9 | 4.2%).
Sales and Office Occupations in Zip Code 17002

Sales and Office Occupations by Sex

Sales and Office Occupations by Sex in Zip Code 17002
OccupationMaleFemale
Sales & Related0 (0.0%)9 (100.0%)
Office & Administration9 (42.9%)12 (57.1%)
Total (Category)9 (30.0%)21 (70.0%)
Total (Overall)139 (65.3%)74 (34.7%)

Natural Resources, Construction and Maintenance Occupations

The most common Natural Resources, Construction and Maintenance occupations in Zip Code 17002 are Construction & Extraction (37 | 17.4%), Installation, Maintenance & Repair (14 | 6.6%), and Farming, Fishing & Forestry (11 | 5.2%).
Natural Resources, Construction and Maintenance Occupations in Zip Code 17002

Natural Resources, Construction and Maintenance Occupations by Sex

Natural Resources, Construction and Maintenance Occupations by Sex in Zip Code 17002
OccupationMaleFemale
Farming, Fishing & Forestry3 (27.3%)8 (72.7%)
Construction & Extraction37 (100.0%)0 (0.0%)
Installation, Maintenance & Repair14 (100.0%)0 (0.0%)
Total (Category)54 (87.1%)8 (12.9%)
Total (Overall)139 (65.3%)74 (34.7%)

Production, Transportation and Moving Occupations

The most common Production, Transportation and Moving occupations in Zip Code 17002 are Production (26 | 12.2%), Transportation (21 | 9.9%), and Material Moving (17 | 8.0%).
Production, Transportation and Moving Occupations in Zip Code 17002

Production, Transportation and Moving Occupations by Sex

Production, Transportation and Moving Occupations by Sex in Zip Code 17002
OccupationMaleFemale
Production17 (65.4%)9 (34.6%)
Transportation19 (90.5%)2 (9.5%)
Material Moving13 (76.5%)4 (23.5%)
Total (Category)49 (76.6%)15 (23.4%)
Total (Overall)139 (65.3%)74 (34.7%)

Employment Industries by Sex in Zip Code 17002

Employment Industries in Zip Code 17002

The major employment industries in Zip Code 17002 include Construction (53 | 24.9%), Manufacturing (44 | 20.7%), Transportation & Warehousing (24 | 11.3%), Agriculture, Fishing & Hunting (17 | 8.0%), and Retail Trade (13 | 6.1%).
Employment Industries in Zip Code 17002

Employment Industries by Sex in Zip Code 17002

The Zip Code 17002 industries that see more men than women are Construction (100.0%), Public Administration (100.0%), and Transportation & Warehousing (91.7%), whereas the industries that tend to have a higher number of women are Finance & Insurance (100.0%), Educational Services (100.0%), and Health Care & Social Assistance (100.0%).
Employment Industries by Sex in Zip Code 17002
IndustryMaleFemale
Agriculture, Fishing & Hunting6 (35.3%)11 (64.7%)
Mining, Quarrying, & Extraction0 (0.0%)0 (0.0%)
Construction53 (100.0%)0 (0.0%)
Manufacturing31 (70.5%)13 (29.5%)
Wholesale Trade0 (0.0%)0 (0.0%)
Retail Trade2 (15.4%)11 (84.6%)
Transportation & Warehousing22 (91.7%)2 (8.3%)
Utilities0 (0.0%)0 (0.0%)
Information0 (0.0%)0 (0.0%)
Finance & Insurance0 (0.0%)7 (100.0%)
Real Estate, Rental & Leasing0 (0.0%)0 (0.0%)
Professional & Scientific0 (0.0%)0 (0.0%)
Enterprise Management0 (0.0%)0 (0.0%)
Administrative & Support6 (75.0%)2 (25.0%)
Educational Services0 (0.0%)11 (100.0%)
Health Care & Social Assistance0 (0.0%)9 (100.0%)
Arts, Entertainment & Recreation0 (0.0%)0 (0.0%)
Accommodation & Food Services5 (38.5%)8 (61.5%)
Public Administration5 (100.0%)0 (0.0%)
Total139 (65.3%)74 (34.7%)

Education in Zip Code 17002

School Enrollment in Zip Code 17002

The most common levels of schooling among the 107 students in Zip Code 17002 are elementary school (35 | 32.7%), middle school (35 | 32.7%), and high school (16 | 14.9%).
School Enrollment in Zip Code 17002
School Level# Students% Students
Nursery / Preschool1110.3%
Kindergarten21.9%
Elementary School3532.7%
Middle School3532.7%
High School1614.9%
College / Undergraduate87.5%
Graduate / Professional00.0%
Total107100.0%

School Enrollment by Age by Funding Source in Zip Code 17002

Out of a total of 107 students who are enrolled in schools in Zip Code 17002, 52 (48.6%) attend a private institution, while the remaining 55 (51.4%) are enrolled in public schools. The age group of 3 to 4 year olds has the highest likelihood of being enrolled in private schools, with 5 (100.0% in the age bracket) enrolled. Conversely, the age group of 15 to 17 year olds has the lowest likelihood of being enrolled in a private school, with 10 (100.0% in the age bracket) attending a public institution.
School Enrollment by Age by Funding Source in Zip Code 17002
Age BracketPublic SchoolPrivate School
3 to 4 Year Olds0 (0.0%)5 (100.0%)
5 to 9 Year Old18 (46.2%)21 (53.8%)
10 to 14 Year Olds22 (52.4%)20 (47.6%)
15 to 17 Year Olds10 (100.0%)0 (0.0%)
18 to 19 Year Olds0 (0.0%)6 (100.0%)
20 to 24 Year Olds0 (0.0%)0 (0.0%)
25 to 34 Year Olds0 (0.0%)0 (0.0%)
35 Years and over5 (100.0%)0 (0.0%)
Total55 (51.4%)52 (48.6%)

Educational Attainment by Field of Study in Zip Code 17002

Bio, nature & agricultural (7 | 31.8%), education (5 | 22.7%), multidisciplinary studies (3 | 13.6%), science & technology (3 | 13.6%), and engineering (2 | 9.1%) are the most common fields of study among 22 individuals in Zip Code 17002 who have obtained a bachelor's degree or higher.
Educational Attainment by Field of Study in Zip Code 17002
Field of Study# Graduates% Graduates
Computers & Mathematics00.0%
Bio, Nature & Agricultural731.8%
Physical & Health Sciences00.0%
Psychology00.0%
Social Sciences00.0%
Engineering29.1%
Multidisciplinary Studies313.6%
Science & Technology313.6%
Business00.0%
Education522.7%
Literature & Languages29.1%
Liberal Arts & History00.0%
Visual & Performing Arts00.0%
Communications00.0%
Arts & Humanities00.0%
Total22100.0%

Transportation & Commute in Zip Code 17002

Vehicle Availability by Sex in Zip Code 17002

The most prevalent vehicle ownership categories in Zip Code 17002 are males with 2 vehicles (60, accounting for 44.1%) and females with 2 vehicles (32, making up 83.3%).
Vehicle Availability by Sex in Zip Code 17002
Vehicles AvailableMaleFemale
No Vehicle42 (30.9%)17 (23.6%)
1 Vehicle9 (6.6%)10 (13.9%)
2 Vehicles60 (44.1%)32 (44.4%)
3 Vehicles23 (16.9%)7 (9.7%)
4 Vehicles2 (1.5%)6 (8.3%)
5 or more Vehicles0 (0.0%)0 (0.0%)
Total136 (100.0%)72 (100.0%)

Commute Time in Zip Code 17002

The most frequently occuring commute durations in Zip Code 17002 are 10 to 14 minutes (47 commuters, 24.9%), 5 to 9 minutes (28 commuters, 14.8%), and less than 5 minutes (26 commuters, 13.8%).
Commute Time in Zip Code 17002
Commute Time# Commuters% Commuters
Less than 5 Minutes2613.8%
5 to 9 Minutes2814.8%
10 to 14 Minutes4724.9%
15 to 19 Minutes126.4%
20 to 24 Minutes115.8%
25 to 29 Minutes105.3%
30 to 34 Minutes2613.8%
35 to 39 Minutes00.0%
40 to 44 Minutes168.5%
45 to 59 Minutes42.1%
60 to 89 Minutes52.6%
90 or more Minutes42.1%

Commute Time by Sex in Zip Code 17002

The most common commute times in Zip Code 17002 are 10 to 14 minutes (32 commuters, 25.2%) for males and 10 to 14 minutes (15 commuters, 24.2%) for females.
Commute Time by Sex in Zip Code 17002
Commute TimeMaleFemale
Less than 5 Minutes21 (16.5%)5 (8.1%)
5 to 9 Minutes18 (14.2%)10 (16.1%)
10 to 14 Minutes32 (25.2%)15 (24.2%)
15 to 19 Minutes3 (2.4%)9 (14.5%)
20 to 24 Minutes6 (4.7%)5 (8.1%)
25 to 29 Minutes7 (5.5%)3 (4.8%)
30 to 34 Minutes17 (13.4%)9 (14.5%)
35 to 39 Minutes0 (0.0%)0 (0.0%)
40 to 44 Minutes12 (9.5%)4 (6.5%)
45 to 59 Minutes2 (1.6%)2 (3.2%)
60 to 89 Minutes5 (3.9%)0 (0.0%)
90 or more Minutes4 (3.2%)0 (0.0%)

Time of Departure to Work by Sex in Zip Code 17002

The most frequent times of departure to work in Zip Code 17002 are 5:30 AM to 5:59 AM (30, 23.6%) for males and 7:30 AM to 7:59 AM (31, 50.0%) for females.
Time of Departure to Work by Sex in Zip Code 17002
Time of DepartureMaleFemale
12:00 AM to 4:59 AM3 (2.4%)0 (0.0%)
5:00 AM to 5:29 AM24 (18.9%)0 (0.0%)
5:30 AM to 5:59 AM30 (23.6%)0 (0.0%)
6:00 AM to 6:29 AM13 (10.2%)4 (6.5%)
6:30 AM to 6:59 AM18 (14.2%)9 (14.5%)
7:00 AM to 7:29 AM13 (10.2%)0 (0.0%)
7:30 AM to 7:59 AM7 (5.5%)31 (50.0%)
8:00 AM to 8:29 AM0 (0.0%)7 (11.3%)
8:30 AM to 8:59 AM0 (0.0%)0 (0.0%)
9:00 AM to 9:59 AM0 (0.0%)0 (0.0%)
10:00 AM to 10:59 AM0 (0.0%)5 (8.1%)
11:00 AM to 11:59 AM6 (4.7%)0 (0.0%)
12:00 PM to 3:59 PM13 (10.2%)6 (9.7%)
4:00 PM to 11:59 PM0 (0.0%)0 (0.0%)
Total127 (100.0%)62 (100.0%)

Housing Occupancy in Zip Code 17002

Occupancy by Ownership in Zip Code 17002

Of the total 153 dwellings in Zip Code 17002, owner-occupied units account for 122 (79.7%), while renter-occupied units make up 31 (20.3%).
Occupancy by Ownership in Zip Code 17002
Occupancy# Housing Units% Housing Units
Owner Occupied Housing Units12279.7%
Renter-Occupied Housing Units3120.3%
Total Occupied Housing Units153100.0%

Occupancy by Household Size in Zip Code 17002

Occupancy by Household Size in Zip Code 17002
Household Size# Housing Units% Housing Units
1-Person Household149.1%
2-Person Household5737.2%
3-Person Household159.8%
4+ Person Household6743.8%
Total Housing Units153100.0%

Occupancy by Ownership by Household Size in Zip Code 17002

Occupancy by Ownership by Household Size in Zip Code 17002
Household SizeOwner-occupiedRenter-occupied
1-Person Household11 (78.6%)3 (21.4%)
2-Person Household48 (84.2%)9 (15.8%)
3-Person Household12 (80.0%)3 (20.0%)
4+ Person Household51 (76.1%)16 (23.9%)
Total Housing Units122 (79.7%)31 (20.3%)

Occupancy by Educational Attainment in Zip Code 17002

Occupancy by Educational Attainment in Zip Code 17002
Household SizeOwner-occupiedRenter-occupied
Less than High School54 (79.4%)14 (20.6%)
High School Diploma48 (88.9%)6 (11.1%)
College/Associate Degree17 (68.0%)8 (32.0%)
Bachelor's Degree or higher3 (50.0%)3 (50.0%)

Occupancy by Age of Householder in Zip Code 17002

Occupancy by Age of Householder in Zip Code 17002
Age Bracket# Households% Households
Under 35 Years5234.0%
35 to 44 Years1811.8%
45 to 54 Years1912.4%
55 to 64 Years2214.4%
65 to 74 Years2617.0%
75 to 84 Years106.5%
85 Years and Over63.9%
Total153100.0%

Housing Finances in Zip Code 17002

Median Income by Occupancy in Zip Code 17002

Median Income by Occupancy in Zip Code 17002
Occupancy Type# HouseholdsMedian Income
Owner-Occupied122 (79.7%)$66,932
Renter-Occupied31 (20.3%)$41,250
Average153 (100.0%)$66,534

Occupancy by Householder Income Bracket in Zip Code 17002

Occupancy by Householder Income Bracket in Zip Code 17002
Income BracketOwner-occupiedRenter-occupied
Less than $5,0000 (0.0%)0 (0.0%)
$5,000 to $9,9993 (2.5%)3 (9.7%)
$10,000 to $14,9990 (0.0%)0 (0.0%)
$15,000 to $19,9992 (1.6%)0 (0.0%)
$20,000 to $24,9992 (1.6%)7 (22.6%)
$25,000 to $34,99910 (8.2%)2 (6.5%)
$35,000 to $49,99917 (13.9%)5 (16.1%)
$50,000 to $74,99935 (28.7%)5 (16.1%)
$75,000 to $99,99920 (16.4%)3 (9.7%)
$100,000 to $149,99925 (20.5%)6 (19.4%)
$150,000 or more8 (6.6%)0 (0.0%)
Total122 (100.0%)31 (100.0%)

Monthly Housing Cost Tiers in Zip Code 17002

Monthly Housing Cost Tiers in Zip Code 17002
Monthly CostOwner-occupiedRenter-occupied
Less than $3000 (0.0%)0 (0.0%)
$300 to $49934 (27.9%)0 (0.0%)
$500 to $79911 (9.0%)14 (45.2%)
$800 to $99915 (12.3%)0 (0.0%)
$1,000 to $1,49946 (37.7%)8 (25.8%)
$1,500 to $1,99912 (9.8%)0 (0.0%)
$2,000 to $2,4994 (3.3%)0 (0.0%)
$2,500 to $2,9990 (0.0%)0 (0.0%)
$3,000 or more0 (0.0%)0 (0.0%)
Total122 (100.0%)31 (100.0%)

Physical Housing Characteristics in Zip Code 17002

Housing Structures in Zip Code 17002

Housing Structures in Zip Code 17002
Structure Type# Housing Units% Housing Units
Single Unit, Detached13990.8%
Single Unit, Attached63.9%
2 Unit Apartments32.0%
3 or 4 Unit Apartments00.0%
5 to 9 Unit Apartments00.0%
10 or more Apartments00.0%
Mobile Home / Other53.3%
Total153100.0%

Housing Structures by Occupancy in Zip Code 17002

Housing Structures by Occupancy in Zip Code 17002
Structure TypeOwner-occupiedRenter-occupied
Single Unit, Detached114 (82.0%)25 (18.0%)
Single Unit, Attached3 (50.0%)3 (50.0%)
2 Unit Apartments0 (0.0%)3 (100.0%)
3 or 4 Unit Apartments0 (0.0%)0 (0.0%)
5 to 9 Unit Apartments0 (0.0%)0 (0.0%)
10 or more Apartments0 (0.0%)0 (0.0%)
Mobile Home / Other5 (100.0%)0 (0.0%)
Total122 (79.7%)31 (20.3%)

Housing Structures by Number of Rooms in Zip Code 17002

Housing Structures by Number of Rooms in Zip Code 17002
Number of RoomsOwner-occupiedRenter-occupied
1 Room0 (0.0%)0 (0.0%)
2 or 3 Rooms0 (0.0%)0 (0.0%)
4 or 5 Rooms30 (24.6%)3 (9.7%)
6 or 7 Rooms48 (39.3%)12 (38.7%)
8 or more Rooms44 (36.1%)16 (51.6%)
Total122 (100.0%)31 (100.0%)

Housing Structure by Heating Type in Zip Code 17002

Housing Structure by Heating Type in Zip Code 17002
Heating TypeOwner-occupiedRenter-occupied
Utility Gas2 (1.6%)0 (0.0%)
Bottled, Tank, or LP Gas1 (0.8%)0 (0.0%)
Electricity19 (15.6%)3 (9.7%)
Fuel Oil or Kerosene44 (36.1%)23 (74.2%)
Coal or Coke3 (2.5%)0 (0.0%)
All other Fuels53 (43.4%)5 (16.1%)
No Fuel Used0 (0.0%)0 (0.0%)
Total122 (100.0%)31 (100.0%)

Household Vehicle Usage in Zip Code 17002

Household Vehicle Usage in Zip Code 17002
Vehicles per HouseholdOwner-occupiedRenter-occupied
No Vehicle36 (29.5%)2 (6.5%)
1 Vehicle14 (11.5%)10 (32.3%)
2 Vehicles56 (45.9%)9 (29.0%)
3 or more Vehicles16 (13.1%)10 (32.3%)
Total122 (100.0%)31 (100.0%)

Real Estate & Mortgages in Zip Code 17002

Real Estate and Mortgage Overview in Zip Code 17002

CharacteristicWithout MortgageWith Mortgage
Housing Units4874
Median Property Value$170,500$183,300
Median Household Income$56,250$4
Monthly Housing Costs$409$0
Real Estate Taxes$2,294$0

Property Value by Mortgage Status in Zip Code 17002

Property Value by Mortgage Status in Zip Code 17002
Property ValueWithout MortgageWith Mortgage
Less than $50,0002 (4.2%)0 (0.0%)
$50,000 to $99,9996 (12.5%)9 (12.2%)
$100,000 to $299,99925 (52.1%)65 (87.8%)
$300,000 to $499,99911 (22.9%)0 (0.0%)
$500,000 to $749,9990 (0.0%)0 (0.0%)
$750,000 to $999,9994 (8.3%)0 (0.0%)
$1,000,000 or more0 (0.0%)0 (0.0%)
Total48 (100.0%)74 (100.0%)

Household Income by Mortgage Status in Zip Code 17002

Household Income by Mortgage Status in Zip Code 17002
Household IncomeWithout MortgageWith Mortgage
Less than $10,0003 (6.2%)6 (8.1%)
$10,000 to $24,9994 (8.3%)0 (0.0%)
$25,000 to $34,99910 (20.8%)0 (0.0%)
$35,000 to $49,9996 (12.5%)0 (0.0%)
$50,000 to $74,99911 (22.9%)11 (14.9%)
$75,000 to $99,9996 (12.5%)24 (32.4%)
$100,000 to $149,9994 (8.3%)14 (18.9%)
$150,000 or more4 (8.3%)21 (28.4%)
Total48 (100.0%)74 (100.0%)

Property Value to Household Income Ratio in Zip Code 17002

Property Value to Household Income Ratio in Zip Code 17002
Value-to-Income RatioWithout MortgageWith Mortgage
Less than 2.0x4 (8.3%)76,667 (103,604.1%)
2.0x to 2.9x15 (31.2%)34 (46.0%)
3.0x to 3.9x8 (16.7%)18 (24.3%)
4.0x or more21 (43.8%)13 (17.6%)
Total48 (100.0%)74 (100.0%)

Real Estate Taxes by Mortgage Status in Zip Code 17002

Real Estate Taxes by Mortgage Status in Zip Code 17002
Property TaxesWithout MortgageWith Mortgage
Less than $8001 (2.1%)0 (0.0%)
$800 to $1,49913 (27.1%)0 (0.0%)
$800 to $1,49934 (70.8%)17 (23.0%)
Total48 (100.0%)74 (100.0%)

Health & Disability in Zip Code 17002

Health Insurance Coverage by Age in Zip Code 17002

Health Insurance Coverage by Age in Zip Code 17002
Age BracketWith CoverageWithout Coverage
Under 6 Years33 (61.1%)21 (38.9%)
6 to 18 Years88 (92.6%)7 (7.4%)
19 to 25 Years51 (85.0%)9 (15.0%)
26 to 34 Years55 (83.3%)11 (16.7%)
35 to 44 Years30 (45.5%)36 (54.5%)
45 to 54 Years24 (80.0%)6 (20.0%)
55 to 64 Years38 (65.5%)20 (34.5%)
65 to 74 Years37 (90.2%)4 (9.8%)
75 Years and older28 (93.3%)2 (6.7%)
Total384 (76.8%)116 (23.2%)

Health Insurance Coverage by Citizenship Status in Zip Code 17002

Health Insurance Coverage by Citizenship Status in Zip Code 17002
Citizenship StatusWith CoverageWithout Coverage
Native Born33 (61.1%)21 (38.9%)
Foreign Born, Citizen88 (92.6%)7 (7.4%)
Foreign Born, not a Citizen51 (85.0%)9 (15.0%)

Health Insurance Coverage by Household Income in Zip Code 17002

Health Insurance Coverage by Household Income in Zip Code 17002
Household IncomeWith CoverageWithout Coverage
Under $25,00049 (94.2%)3 (5.8%)
$25,000 to $49,99981 (69.2%)36 (30.8%)
$50,000 to $74,99972 (58.1%)52 (41.9%)
$75,000 to $99,99958 (87.9%)8 (12.1%)
$100,000 and over124 (87.9%)17 (12.1%)

Public vs Private Health Insurance Coverage by Age in Zip Code 17002

Public vs Private Health Insurance Coverage by Age in Zip Code 17002
Age BracketPublic InsurancePrivate Insurance
Under 625 (46.3%)11 (20.4%)
6 to 18 Years37 (39.0%)55 (57.9%)
19 to 25 Years13 (21.7%)38 (63.3%)
25 to 34 Years26 (39.4%)32 (48.5%)
35 to 44 Years8 (12.1%)22 (33.3%)
45 to 54 Years6 (20.0%)24 (80.0%)
55 to 64 Years9 (15.5%)29 (50.0%)
65 to 74 Years35 (85.4%)29 (70.7%)
75 Years and over28 (93.3%)16 (53.3%)
Total187 (37.4%)256 (51.2%)

Disability Status by Sex by Age in Zip Code 17002

Disability Status by Sex by Age in Zip Code 17002
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years0 (0.0%)2 (4.3%)
18 to 34 Years2 (2.8%)14 (24.6%)
35 to 64 Years8 (10.8%)7 (8.7%)
65 to 74 Years7 (35.0%)2 (9.5%)
75 Years and over0 (0.0%)10 (55.6%)

Disability Class by Sex by Age in Zip Code 17002

Disability Class: Hearing Difficulty

Disability in Zip Code 17002: <span>Hearing Difficulty</span>
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years0 (0.0%)0 (0.0%)
65 to 74 Years0 (0.0%)2 (9.5%)
75 Years and over0 (0.0%)0 (0.0%)

Disability Class: Vision Difficulty

Disability in Zip Code 17002: <span>Vision Difficulty</span>
Age BracketMaleFemale
Under 5 Years0 (0.0%)0 (0.0%)
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years8 (10.8%)0 (0.0%)
65 to 74 Years0 (0.0%)0 (0.0%)
75 Years and over0 (0.0%)0 (0.0%)

Disability Class: Cognitive Difficulty

Disability in Zip Code 17002: <span>Cognitive Difficulty</span>
Age BracketMaleFemale
5 to 17 Years0 (0.0%)2 (4.3%)
18 to 34 Years0 (0.0%)14 (24.6%)
35 to 64 Years0 (0.0%)3 (3.7%)
65 to 74 Years0 (0.0%)0 (0.0%)
75 Years and over0 (0.0%)0 (0.0%)

Disability Class: Ambulatory Difficulty

Disability in Zip Code 17002: <span>Ambulatory Difficulty</span>
Age BracketMaleFemale
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years0 (0.0%)4 (5.0%)
65 to 74 Years6 (30.0%)0 (0.0%)
75 Years and over0 (0.0%)4 (22.2%)

Disability Class: Self-Care Difficulty

Disability in Zip Code 17002: <span>Self-Care Difficulty</span>
Age BracketMaleFemale
5 to 17 Years0 (0.0%)0 (0.0%)
18 to 34 Years0 (0.0%)0 (0.0%)
35 to 64 Years0 (0.0%)0 (0.0%)
65 to 74 Years3 (15.0%)0 (0.0%)
75 Years and over0 (0.0%)2 (11.1%)

Technology Access in Zip Code 17002

Computing Device Access in Zip Code 17002

Computing Device Access in Zip Code 17002
Device Type# Households% Households
Desktop or Laptop9260.1%
Smartphone9159.5%
Tablet7247.1%
No Computing Device4831.4%
Total153100.0%

Internet Access in Zip Code 17002

Internet Access in Zip Code 17002
Internet Type# Households% Households
Dial-Up Internet21.3%
Broadband Home7347.7%
Cellular Data Only127.8%
Satellite Internet53.3%
No Internet5133.3%
Total153100.0%

Common Questions

What is the Total Population of Zip Code 17002?
Total Population of Zip Code 17002 is 500.
What is the Total Male Population of Zip Code 17002?
Total Male Population of Zip Code 17002 is 271.
What is the Total Female Population of Zip Code 17002?
Total Female Population of Zip Code 17002 is 229.
What is the Ratio of Males per 100 Females in Zip Code 17002?
There are 118.34 Males per 100 Females in Zip Code 17002.
What is the Ratio of Females per 100 Males in Zip Code 17002?
There are 84.50 Females per 100 Males in Zip Code 17002.
What is the Median Population Age in Zip Code 17002?
Median Population Age in Zip Code 17002 is 33.2 Years.
What is the Average Family Size in Zip Code 17002
Average Family Size in Zip Code 17002 is 3.4 People.
What is the Average Household Size in Zip Code 17002
Average Household Size in Zip Code 17002 is 3.3 People.
What is Per Capita Income in Zip Code 17002?
Per Capita income in Zip Code 17002 is $26,632.
What is the Median Family Income in Zip Code 17002?
Median Family Income in Zip Code 17002 is $66,364.
What is the Median Household income in Zip Code 17002?
Median Household Income in Zip Code 17002 is $66,534.
What is Income or Wage Gap in Zip Code 17002?
Income or Wage Gap in Zip Code 17002 is 49.9%.
Women in Zip Code 17002 earn 50.1 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 17002?
Inequality or Gini Index in Zip Code 17002 is 0.42.
How Large is the Labor Force in Zip Code 17002?
There are 219 People in the Labor Forcein in Zip Code 17002.
What is the Percentage of People in the Labor Force in Zip Code 17002?
61.5% of People are in the Labor Force in Zip Code 17002.
What is the Unemployment Rate in Zip Code 17002?
Unemployment Rate in Zip Code 17002 is 2.7%.