Zip Code 17052
Zip Code 17052 Map
Zip Code 17052 Overview
1,490
TOTAL POPULATION
794
MALE POPULATION
696
FEMALE POPULATION
114.08
MALES / 100 FEMALES
87.66
FEMALES / 100 MALES
45.6
MEDIAN AGE
3.3
AVG FAMILY SIZE
2.8
AVG HOUSEHOLD SIZE
$32,108
PER CAPITA INCOME
$79,063
AVG FAMILY INCOME
$68,977
AVG HOUSEHOLD INCOME
25.8%
WAGE / INCOME GAP [ % ]
74.2¢/ $1
WAGE / INCOME GAP [ $ ]
0.39
INEQUALITY / GINI INDEX
769
LABOR FORCE [ PEOPLE ]
60.9%
PERCENT IN LABOR FORCE
3.5%
UNEMPLOYMENT RATE
Zip Code 17052 Area Codes
Race in Zip Code 17052
The most populous races in Zip Code 17052 are White / Caucasian (1,403 | 94.2%), Two or more Races (64 | 4.3%), and Hispanic or Latino (35 | 2.4%).
| Race | # Population | % Population |
| Asian | 0 | 0.0% |
| Black / African American | 3 | 0.2% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 35 | 2.4% |
| Native / Alaskan | 0 | 0.0% |
| White / Caucasian | 1,403 | 94.2% |
| Two or more Races | 64 | 4.3% |
| Some other Race | 20 | 1.3% |
| Total | 1,490 | 100.0% |
Ancestry in Zip Code 17052
The most populous ancestries reported in Zip Code 17052 are German (422 | 28.3%), Irish (216 | 14.5%), English (158 | 10.6%), Polish (80 | 5.4%), and American (67 | 4.5%), together accounting for 63.3% of all Zip Code 17052 residents.
| Ancestry | # Population | % Population |
| American | 67 | 4.5% |
| Arab | 4 | 0.3% |
| British | 18 | 1.2% |
| Canadian | 4 | 0.3% |
| Cherokee | 23 | 1.5% |
| Czechoslovakian | 10 | 0.7% |
| Dutch | 21 | 1.4% |
| English | 158 | 10.6% |
| European | 17 | 1.1% |
| French | 6 | 0.4% |
| German | 422 | 28.3% |
| Irish | 216 | 14.5% |
| Italian | 45 | 3.0% |
| Lithuanian | 3 | 0.2% |
| Mexican | 15 | 1.0% |
| Pennsylvania German | 1 | 0.1% |
| Polish | 80 | 5.4% |
| Puerto Rican | 20 | 1.3% |
| Russian | 3 | 0.2% |
| Scandinavian | 9 | 0.6% |
| Scotch-Irish | 21 | 1.4% |
| Scottish | 19 | 1.3% |
| Swedish | 3 | 0.2% |
| Swiss | 8 | 0.5% |
| Welsh | 1 | 0.1% |
| Yugoslavian | 3 | 0.2% | View All 26 Rows |
Immigrants in Zip Code 17052
The most numerous immigrant groups reported in Zip Code 17052 came from Asia (4 | 0.3%), Iraq (4 | 0.3%), and Western Asia (4 | 0.3%), together accounting for 0.8% of all Zip Code 17052 residents.
| Immigration Origin | # Population | % Population |
| Asia | 4 | 0.3% |
| Iraq | 4 | 0.3% |
| Western Asia | 4 | 0.3% | View All 3 Rows |
Sex and Age in Zip Code 17052
Sex and Age in Zip Code 17052
The most populous age groups in Zip Code 17052 are 15 to 19 Years (77 | 9.7%) for men and 45 to 49 Years (75 | 10.8%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 41 (5.2%) | 28 (4.0%) |
| 5 to 9 Years | 25 (3.2%) | 34 (4.9%) |
| 10 to 14 Years | 53 (6.7%) | 27 (3.9%) |
| 15 to 19 Years | 77 (9.7%) | 45 (6.5%) |
| 20 to 24 Years | 63 (7.9%) | 33 (4.7%) |
| 25 to 29 Years | 59 (7.4%) | 32 (4.6%) |
| 30 to 34 Years | 33 (4.2%) | 26 (3.7%) |
| 35 to 39 Years | 28 (3.5%) | 21 (3.0%) |
| 40 to 44 Years | 63 (7.9%) | 48 (6.9%) |
| 45 to 49 Years | 67 (8.4%) | 75 (10.8%) |
| 50 to 54 Years | 61 (7.7%) | 56 (8.1%) |
| 55 to 59 Years | 59 (7.4%) | 67 (9.6%) |
| 60 to 64 Years | 61 (7.7%) | 45 (6.5%) |
| 65 to 69 Years | 33 (4.2%) | 40 (5.8%) |
| 70 to 74 Years | 28 (3.5%) | 32 (4.6%) |
| 75 to 79 Years | 16 (2.0%) | 20 (2.9%) |
| 80 to 84 Years | 16 (2.0%) | 18 (2.6%) |
| 85 Years and over | 11 (1.4%) | 49 (7.0%) |
| Total | 794 (100.0%) | 696 (100.0%) |
Families and Households in Zip Code 17052
Median Family Size in Zip Code 17052
The median family size in Zip Code 17052 is 3.28 persons per family, with single male/father families (13 | 3.4%) accounting for the largest median family size of 3.85 persons per family. On the other hand, single female/mother families (42 | 10.9%) represent the smallest median family size with 3.24 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 330 (85.7%) | 3.27 |
| Single Male/Father | 13 (3.4%) | 3.85 |
| Single Female/Mother | 42 (10.9%) | 3.24 |
| Total Families | 385 (100.0%) | 3.28 |
Median Household Size in Zip Code 17052
The median household size in Zip Code 17052 is 2.77 persons per household, with single male/father households (13 | 2.4%) accounting for the largest median household size of 5.15 persons per household. non-family households (153 | 28.4%) represent the smallest median household size with 1.23 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 330 (61.3%) | 3.27 |
| Single Male/Father | 13 (2.4%) | 5.15 |
| Single Female/Mother | 42 (7.8%) | 3.71 |
| Non-family | 153 (28.4%) | 1.23 |
| Total Households | 538 (100.0%) | 2.77 |
Household Size by Marriage Status in Zip Code 17052
Out of a total of 538 households in Zip Code 17052, 385 (71.6%) are family households, while 153 (28.4%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 160, and the most common type of nonfamily households are 1-person households, comprising 135.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 135 (25.1%) |
| 2-Person Households | 160 (29.7%) | 15 (2.8%) |
| 3-Person Households | 119 (22.1%) | 0 (0.0%) |
| 4-Person Households | 74 (13.8%) | 0 (0.0%) |
| 5-Person Households | 23 (4.3%) | 0 (0.0%) |
| 6-Person Households | 2 (0.4%) | 3 (0.6%) |
| 7+ Person Households | 7 (1.3%) | 0 (0.0%) |
| Total | 385 (71.6%) | 153 (28.4%) |
Female Fertility in Zip Code 17052
Fertility by Age in Zip Code 17052
Average fertility rate in Zip Code 17052 is 46.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 99.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 69.2% of all women with births.
| Age Bracket | Women with Births | Births / 1,000 Women |
| 15 to 19 years | 0 (0.0%) | 0.0 |
| 20 to 34 years | 9 (69.2%) | 99.0 |
| 35 to 50 years | 4 (30.8%) | 27.0 |
| Total | 13 (100.0%) | 46.0 |
Fertility by Age by Marriage Status in Zip Code 17052
23.1% of women with births (13) in Zip Code 17052 are married. The highest percentage of unmarried women with births falls into 20 to 34 years age bracket with 100.0% of them unmarried at the time of birth, while the lowest percentage of unmarried women with births belong to 35 to 50 years age bracket with 25.0% of them unmarried.
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | 0 (0.0%) |
| 20 to 34 years | 0 (0.0%) | 9 (100.0%) |
| 35 to 50 years | 3 (75.0%) | 1 (25.0%) |
| Total | 3 (23.1%) | 10 (76.9%) |
Fertility by Education in Zip Code 17052
| Educational Attainment | Women with Births | Births / 1,000 Women |
| Less than High School | 0 (0.0%) | 0.0 |
| High School Diploma | 10 (76.9%) | 81.0 |
| College or Associate's Degree | 3 (23.1%) | 42.0 |
| Bachelor's Degree | 0 (0.0%) | 0.0 |
| Graduate Degree | 0 (0.0%) | 0.0 |
| Total | 13 (100.0%) | 46.0 |
Fertility by Education by Marriage Status in Zip Code 17052
76.9% of women with births in Zip Code 17052 are unmarried. Women with the educational attainment of college or associate's degree are most likely to be married with 66.7% of them married at childbirth, while women with the educational attainment of high school diploma are least likely to be married with 90.0% of them unmarried at childbirth.
| Educational Attainment | Married | Unmarried |
| Less than High School | 0 (0.0%) | 0 (0.0%) |
| High School Diploma | 1 (10.0%) | 9 (90.0%) |
| College or Associate's Degree | 2 (66.7%) | 1 (33.3%) |
| Bachelor's Degree | 0 (0.0%) | 0 (0.0%) |
| Graduate Degree | 0 (0.0%) | 0 (0.0%) |
| Total | 3 (23.1%) | 10 (76.9%) |
Income in Zip Code 17052
Income Overview in Zip Code 17052
Per Capita Income in Zip Code 17052 is $32,108, while median incomes of families and households are $79,063 and $68,977 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 1,490 | $32,108 |
| Median Family Income | 385 | $79,063 |
| Mean Family Income | 385 | $91,907 |
| Median Household Income | 538 | $68,977 |
| Mean Household Income | 538 | $79,427 |
| Income Deficit | 385 | $0 |
| Wage / Income Gap (%) | 1,490 | 25.84% |
| Wage / Income Gap ($) | 1,490 | 74.16¢ per $1 |
| Gini / Inequality Index | 1,490 | 0.39 |
Earnings by Sex in Zip Code 17052
Average Earnings in Zip Code 17052 are $40,139, $44,837 for men and $33,250 for women, a difference of 25.8%.
| Sex | Number | Average Earnings |
| Male | 443 (56.7%) | $44,837 |
| Female | 338 (43.3%) | $33,250 |
| Total | 781 (100.0%) | $40,139 |
Earnings by Sex by Income Bracket in Zip Code 17052
The most common earnings brackets in Zip Code 17052 are $75,000 to $99,999 for men (74 | 16.7%) and $30,000 to $34,999 for women (37 | 11.0%).
| Income | Male | Female |
| $2,499 or less | 22 (5.0%) | 9 (2.7%) |
| $2,500 to $4,999 | 9 (2.0%) | 7 (2.1%) |
| $5,000 to $7,499 | 0 (0.0%) | 9 (2.7%) |
| $7,500 to $9,999 | 0 (0.0%) | 8 (2.4%) |
| $10,000 to $12,499 | 0 (0.0%) | 29 (8.6%) |
| $12,500 to $14,999 | 2 (0.4%) | 8 (2.4%) |
| $15,000 to $17,499 | 7 (1.6%) | 5 (1.5%) |
| $17,500 to $19,999 | 8 (1.8%) | 8 (2.4%) |
| $20,000 to $22,499 | 9 (2.0%) | 17 (5.0%) |
| $22,500 to $24,999 | 22 (5.0%) | 32 (9.5%) |
| $25,000 to $29,999 | 29 (6.6%) | 21 (6.2%) |
| $30,000 to $34,999 | 16 (3.6%) | 37 (11.0%) |
| $35,000 to $39,999 | 57 (12.9%) | 18 (5.3%) |
| $40,000 to $44,999 | 42 (9.5%) | 15 (4.4%) |
| $45,000 to $49,999 | 16 (3.6%) | 13 (3.8%) |
| $50,000 to $54,999 | 33 (7.4%) | 19 (5.6%) |
| $55,000 to $64,999 | 32 (7.2%) | 32 (9.5%) |
| $65,000 to $74,999 | 28 (6.3%) | 30 (8.9%) |
| $75,000 to $99,999 | 74 (16.7%) | 19 (5.6%) |
| $100,000+ | 37 (8.4%) | 2 (0.6%) |
| Total | 443 (100.0%) | 338 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 17052
Average earnings in Zip Code 17052 are $52,411 for men and $34,000 for women, a difference of 35.1%. Men with an educational attainment of college or associate's degree enjoy the highest average annual earnings of $64,375, while those with high school diploma education earn the least with $47,946. Women with an educational attainment of college or associate's degree earn the most with the average annual earnings of $56,786, while those with less than high school education have the smallest earnings of $26,071.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $58,750 | $26,071 |
| High School Diploma | $47,946 | $30,833 |
| College or Associate's Degree | $64,375 | $56,786 |
| Bachelor's Degree | - | - |
| Graduate Degree | - | - |
| Total | $52,411 | $34,000 |
Family Income in Zip Code 17052
Family Income Brackets in Zip Code 17052
According to the Zip Code 17052 family income data, there are 69 families falling into the $50,000 to $74,999 income range, which is the most common income bracket and makes up 17.9% of all families. Conversely, the $10,000 to $14,999 income bracket is the least frequent group with only 4 families (1.0%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 6 | 1.6% |
| $10,000 to $14,999 | 4 | 1.0% |
| $15,000 to $24,999 | 11 | 2.9% |
| $25,000 to $34,999 | 32 | 8.3% |
| $35,000 to $49,999 | 64 | 16.6% |
| $50,000 to $74,999 | 69 | 17.9% |
| $75,000 to $99,999 | 69 | 17.9% |
| $100,000 to $149,999 | 67 | 17.4% |
| $150,000 to $199,999 | 37 | 9.6% |
| $200,000+ | 26 | 6.8% |
Family Income by Famaliy Size in Zip Code 17052
3-person families (125 | 32.5%) account for the highest median family income in Zip Code 17052 with $102,639 per family, while 3-person families (125 | 32.5%) have the highest median income of $34,213 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 165 (42.9%) | $66,023 |
| 3-Person Families | 125 (32.5%) | $102,639 |
| 4-Person Families | 69 (17.9%) | $91,250 |
| 5-Person Families | 19 (4.9%) | $89,750 |
| 6-Person Families | 0 (0.0%) | $0 |
| 7+ Person Families | 7 (1.8%) | $0 |
| Total | 385 (100.0%) | $79,063 |
Family Income by Number of Earners in Zip Code 17052
The median family income in Zip Code 17052 is $79,063, with families comprising 3+ earners (66) having the highest median family income of $173,750, while families with no earners (63) have the lowest median family income of $32,750, accounting for 17.1% and 16.4% of families, respectively.
| Number of Earners | # Families | Median Income |
| No Earners | 63 (16.4%) | $32,750 |
| 1 Earner | 122 (31.7%) | $47,500 |
| 2 Earners | 134 (34.8%) | $93,750 |
| 3+ Earners | 66 (17.1%) | $173,750 |
| Total | 385 (100.0%) | $79,063 |
Household Income in Zip Code 17052
Household Income Brackets in Zip Code 17052
With 105 households falling in the category, the $50,000 to $74,999 income range is the most frequent in Zip Code 17052, accounting for 19.5% of all households. In contrast, only 6 households (1.1%) fall into the less than $10,000 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 6 | 1.1% |
| $10,000 to $14,999 | 36 | 6.7% |
| $15,000 to $24,999 | 43 | 8.0% |
| $25,000 to $34,999 | 42 | 7.8% |
| $35,000 to $49,999 | 84 | 15.6% |
| $50,000 to $74,999 | 105 | 19.5% |
| $75,000 to $99,999 | 77 | 14.3% |
| $100,000 to $149,999 | 75 | 13.9% |
| $150,000 to $199,999 | 44 | 8.2% |
| $200,000+ | 26 | 4.8% |
Household Income by Householder Age in Zip Code 17052
The median household income in Zip Code 17052 is $68,977, with the highest median household income of $86,250 found in the 25 to 44 years age bracket for the primary householder. A total of 107 households (19.9%) fall into this category. Meanwhile, the 15 to 24 years age bracket for the primary householder has the lowest median household income of $0, with 6 households (1.1%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 6 (1.1%) | $0 |
| 25 to 44 Years | 107 (19.9%) | $86,250 |
| 45 to 64 Years | 245 (45.5%) | $86,125 |
| 65+ Years | 180 (33.5%) | $31,667 |
| Total | 538 (100.0%) | $68,977 |
Poverty in Zip Code 17052
Income Below Poverty by Sex and Age in Zip Code 17052
With 8.0% poverty level for males and 11.6% for females among the residents of Zip Code 17052, under 5 year old males and under 5 year old females are the most vulnerable to poverty, with 8 males (19.5%) and 8 females (33.3%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 8 (19.5%) | 8 (33.3%) |
| 5 Years | 0 (0.0%) | 2 (28.6%) |
| 6 to 11 Years | 3 (10.7%) | 6 (18.2%) |
| 12 to 14 Years | 0 (0.0%) | 0 (0.0%) |
| 15 Years | 0 (0.0%) | 0 (0.0%) |
| 16 and 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 24 Years | 6 (6.2%) | 13 (30.9%) |
| 25 to 34 Years | 12 (13.0%) | 7 (12.1%) |
| 35 to 44 Years | 6 (6.6%) | 1 (1.5%) |
| 45 to 54 Years | 9 (7.0%) | 3 (2.3%) |
| 55 to 64 Years | 8 (6.7%) | 10 (8.9%) |
| 65 to 74 Years | 4 (6.6%) | 12 (16.7%) |
| 75 Years and over | 7 (16.3%) | 18 (20.7%) |
| Total | 63 (8.0%) | 80 (11.6%) |
Income Above Poverty by Sex and Age in Zip Code 17052
According to the poverty statistics in Zip Code 17052, males aged 5 years and females aged 12 to 14 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.
| Age Bracket | Male | Female |
| Under 5 Years | 33 (80.5%) | 16 (66.7%) |
| 5 Years | 10 (100.0%) | 5 (71.4%) |
| 6 to 11 Years | 25 (89.3%) | 27 (81.8%) |
| 12 to 14 Years | 37 (100.0%) | 21 (100.0%) |
| 15 Years | 20 (100.0%) | 0 (0.0%) |
| 16 and 17 Years | 23 (100.0%) | 36 (100.0%) |
| 18 to 24 Years | 91 (93.8%) | 29 (69.1%) |
| 25 to 34 Years | 80 (87.0%) | 51 (87.9%) |
| 35 to 44 Years | 85 (93.4%) | 68 (98.6%) |
| 45 to 54 Years | 119 (93.0%) | 128 (97.7%) |
| 55 to 64 Years | 112 (93.3%) | 102 (91.1%) |
| 65 to 74 Years | 57 (93.4%) | 60 (83.3%) |
| 75 Years and over | 36 (83.7%) | 69 (79.3%) |
| Total | 728 (92.0%) | 612 (88.4%) |
Income Below Poverty Among Married-Couple Families in Zip Code 17052
The poverty statistics for married-couple families in Zip Code 17052 show that 4.5% or 15 of the total 330 families live below the poverty line. Families with 1 or 2 children have the highest poverty rate of 5.3%, comprising of 5 families. On the other hand, families with 3 or 4 children have the lowest poverty rate of 0.0%, which includes 0 families.
| Children | Above Poverty | Below Poverty |
| No Children | 213 (95.5%) | 10 (4.5%) |
| 1 or 2 Children | 90 (94.7%) | 5 (5.3%) |
| 3 or 4 Children | 12 (100.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 315 (95.5%) | 15 (4.5%) |
Income Below Poverty Among Single-Parent Households in Zip Code 17052
According to the poverty data in Zip Code 17052, 23.1% or 3 single-father households and 11.9% or 5 single-mother households are living below the poverty line. Among single-father households, those with 5 or more children have the highest poverty rate, with 2 households (100.0%) experiencing poverty. Likewise, among single-mother households, those with 3 or 4 children have the highest poverty rate, with 2 households (40.0%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 0 (0.0%) | 0 (0.0%) |
| 1 or 2 Children | 1 (25.0%) | 3 (14.3%) |
| 3 or 4 Children | 0 (0.0%) | 2 (40.0%) |
| 5 or more Children | 2 (100.0%) | 0 (0.0%) |
| Total | 3 (23.1%) | 5 (11.9%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 17052
The poverty data for Zip Code 17052 shows that 15 of the married-couple family households (4.5%) and 8 of the single-parent households (14.5%) are living below the poverty level. Within the married-couple family households, those with 1 or 2 children have the highest poverty rate, with 5 households (5.3%) falling below the poverty line. Among the single-parent households, those with 5 or more children have the highest poverty rate, with 2 household (100.0%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 10 (4.5%) | 0 (0.0%) |
| 1 or 2 Children | 5 (5.3%) | 4 (16.0%) |
| 3 or 4 Children | 0 (0.0%) | 2 (40.0%) |
| 5 or more Children | 0 (0.0%) | 2 (100.0%) |
| Total | 15 (4.5%) | 8 (14.5%) |
Employment Characteristics in Zip Code 17052
Employment by Class of Employer in Zip Code 17052
Among the 737 employed individuals in Zip Code 17052, private company employees (456 | 61.9%), not-for-profit organizations (78 | 10.6%), and state government employees (73 | 9.9%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 456 | 61.9% |
| Self-Employed (Incorporated) | 7 | 0.9% |
| Self-Employed (Not Incorporated) | 55 | 7.5% |
| Not-for-profit Organizations | 78 | 10.6% |
| Local Government Employees | 29 | 3.9% |
| State Government Employees | 73 | 9.9% |
| Federal Government Employees | 36 | 4.9% |
| Unpaid Family Workers | 3 | 0.4% |
| Total | 737 | 100.0% |
Employment Status by Age in Zip Code 17052
According to the labor force statistics for Zip Code 17052, out of the total population over 16 years of age (1,262), 60.9% or 769 individuals are in the labor force, with 3.5% or 27 of them unemployed. The age group with the highest labor force participation rate is 25 to 29 years, with 92.3% or 84 individuals in the labor force. Within the labor force, the 16 to 19 years age range has the highest percentage of unemployed individuals, with 45.2% or 14 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 31 (30.4%) | 14 (45.2%) |
| 20 to 24 Years | 76 (79.2%) | 3 (3.9%) |
| 25 to 29 Years | 84 (92.3%) | 6 (7.1%) |
| 30 to 34 Years | 42 (71.2%) | 0 (0.0%) |
| 35 to 44 Years | 139 (86.9%) | 0 (0.0%) |
| 45 to 54 Years | 208 (80.3%) | 3 (1.4%) |
| 55 to 59 Years | 82 (65.1%) | 0 (0.0%) |
| 60 to 64 Years | 66 (62.3%) | 0 (0.0%) |
| 65 to 74 Years | 37 (27.8%) | 1 (2.7%) |
| 75 Years and over | 3 (2.3%) | 0 (0.0%) |
| Total | 769 (60.9%) | 27 (3.5%) |
Employment Status by Educational Attainment in Zip Code 17052
According to labor force statistics for Zip Code 17052, 77.5% of individuals (621) out of the total population between 25 and 64 years of age (801) are in the labor force, with 1.4% or 9 of them being unemployed. The group with the highest labor force participation rate are those with the educational attainment of bachelor's degree or higher, with 86.7% or 85 individuals in the labor force. Within the labor force, individuals with less than high school education have the highest percentage of unemployment, with 7.4% or 2 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 27 (52.9%) | 4 (7.4%) |
| High School Diploma | 400 (76.5%) | 8 (1.5%) |
| College / Associate Degree | 109 (84.5%) | 1 (0.9%) |
| Bachelor's Degree or higher | 85 (86.7%) | 0 (0.0%) |
| Total | 621 (77.5%) | 11 (1.4%) |
Employment Occupations by Sex in Zip Code 17052
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 17052 are Community & Social Service (112 | 15.1%), Education Instruction & Library (91 | 12.3%), Management (42 | 5.7%), Health Diagnosing & Treating (37 | 5.0%), and Business & Financial (30 | 4.1%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 17052, the most male-oriented occupations are Architecture & Engineering (100.0%), Life, Physical & Social Science (100.0%), and Legal Services & Support (100.0%), while the most female-oriented occupations are Computers & Mathematics (100.0%), Health Diagnosing & Treating (89.2%), and Health Technologists (85.7%).
| Occupation | Male | Female |
| Management | 10 (23.8%) | 32 (76.2%) |
| Business & Financial | 8 (26.7%) | 22 (73.3%) |
| Computers, Engineering & Science | 15 (68.2%) | 7 (31.8%) |
| Computers & Mathematics | 0 (0.0%) | 7 (100.0%) |
| Architecture & Engineering | 12 (100.0%) | 0 (0.0%) |
| Life, Physical & Social Science | 3 (100.0%) | 0 (0.0%) |
| Community & Social Service | 55 (49.1%) | 57 (50.9%) |
| Education, Arts & Media | 4 (40.0%) | 6 (60.0%) |
| Legal Services & Support | 4 (100.0%) | 0 (0.0%) |
| Education Instruction & Library | 42 (46.2%) | 49 (53.8%) |
| Arts, Media & Entertainment | 5 (71.4%) | 2 (28.6%) |
| Health Diagnosing & Treating | 4 (10.8%) | 33 (89.2%) |
| Health Technologists | 4 (14.3%) | 24 (85.7%) |
| Total (Category) | 92 (37.9%) | 151 (62.1%) |
| Total (Overall) | 423 (57.1%) | 318 (42.9%) |
Services Occupations
The most common Services occupations in Zip Code 17052 are Cleaning & Maintenance (34 | 4.6%), Security & Protection (20 | 2.7%), Law Enforcement (19 | 2.6%), Healthcare Support (12 | 1.6%), and Food Preparation & Serving (11 | 1.5%).
Services Occupations by Sex
Within the Services occupations in Zip Code 17052, the most male-oriented occupations are Firefighting & Prevention (100.0%), Food Preparation & Serving (100.0%), and Security & Protection (70.0%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (100.0%), and Cleaning & Maintenance (44.1%).
| Occupation | Male | Female |
| Healthcare Support | 0 (0.0%) | 12 (100.0%) |
| Security & Protection | 14 (70.0%) | 6 (30.0%) |
| Firefighting & Prevention | 1 (100.0%) | 0 (0.0%) |
| Law Enforcement | 13 (68.4%) | 6 (31.6%) |
| Food Preparation & Serving | 11 (100.0%) | 0 (0.0%) |
| Cleaning & Maintenance | 19 (55.9%) | 15 (44.1%) |
| Personal Care & Service | 0 (0.0%) | 8 (100.0%) |
| Total (Category) | 44 (51.8%) | 41 (48.2%) |
| Total (Overall) | 423 (57.1%) | 318 (42.9%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 17052 are Office & Administration (67 | 9.0%), and Sales & Related (53 | 7.1%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 6 (11.3%) | 47 (88.7%) |
| Office & Administration | 29 (43.3%) | 38 (56.7%) |
| Total (Category) | 35 (29.2%) | 85 (70.8%) |
| Total (Overall) | 423 (57.1%) | 318 (42.9%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 17052 are Construction & Extraction (87 | 11.7%), Installation, Maintenance & Repair (56 | 7.6%), and Farming, Fishing & Forestry (6 | 0.8%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 6 (100.0%) | 0 (0.0%) |
| Construction & Extraction | 87 (100.0%) | 0 (0.0%) |
| Installation, Maintenance & Repair | 56 (100.0%) | 0 (0.0%) |
| Total (Category) | 149 (100.0%) | 0 (0.0%) |
| Total (Overall) | 423 (57.1%) | 318 (42.9%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 17052 are Production (89 | 12.0%), Transportation (29 | 3.9%), and Material Moving (26 | 3.5%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 70 (78.6%) | 19 (21.3%) |
| Transportation | 19 (65.5%) | 10 (34.5%) |
| Material Moving | 14 (53.8%) | 12 (46.2%) |
| Total (Category) | 103 (71.5%) | 41 (28.5%) |
| Total (Overall) | 423 (57.1%) | 318 (42.9%) |
Employment Industries by Sex in Zip Code 17052
Employment Industries in Zip Code 17052
The major employment industries in Zip Code 17052 include Manufacturing (168 | 22.7%), Construction (118 | 15.9%), Educational Services (86 | 11.6%), Health Care & Social Assistance (80 | 10.8%), and Retail Trade (55 | 7.4%).
Employment Industries by Sex in Zip Code 17052
The Zip Code 17052 industries that see more men than women are Agriculture, Fishing & Hunting (100.0%), Wholesale Trade (100.0%), and Utilities (100.0%), whereas the industries that tend to have a higher number of women are Information (100.0%), Finance & Insurance (100.0%), and Health Care & Social Assistance (100.0%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 10 (100.0%) | 0 (0.0%) |
| Mining, Quarrying, & Extraction | 0 (0.0%) | 0 (0.0%) |
| Construction | 114 (96.6%) | 4 (3.4%) |
| Manufacturing | 127 (75.6%) | 41 (24.4%) |
| Wholesale Trade | 3 (100.0%) | 0 (0.0%) |
| Retail Trade | 8 (14.5%) | 47 (85.5%) |
| Transportation & Warehousing | 25 (53.2%) | 22 (46.8%) |
| Utilities | 6 (100.0%) | 0 (0.0%) |
| Information | 0 (0.0%) | 2 (100.0%) |
| Finance & Insurance | 0 (0.0%) | 15 (100.0%) |
| Real Estate, Rental & Leasing | 4 (100.0%) | 0 (0.0%) |
| Professional & Scientific | 11 (73.3%) | 4 (26.7%) |
| Enterprise Management | 0 (0.0%) | 0 (0.0%) |
| Administrative & Support | 19 (90.5%) | 2 (9.5%) |
| Educational Services | 24 (27.9%) | 62 (72.1%) |
| Health Care & Social Assistance | 0 (0.0%) | 80 (100.0%) |
| Arts, Entertainment & Recreation | 2 (100.0%) | 0 (0.0%) |
| Accommodation & Food Services | 11 (55.0%) | 9 (45.0%) |
| Public Administration | 39 (73.6%) | 14 (26.4%) |
| Total | 423 (57.1%) | 318 (42.9%) |
Education in Zip Code 17052
School Enrollment in Zip Code 17052
The most common levels of schooling among the 256 students in Zip Code 17052 are high school (106 | 41.4%), middle school (59 | 23.1%), and elementary school (40 | 15.6%).
| School Level | # Students | % Students |
| Nursery / Preschool | 18 | 7.0% |
| Kindergarten | 4 | 1.6% |
| Elementary School | 40 | 15.6% |
| Middle School | 59 | 23.1% |
| High School | 106 | 41.4% |
| College / Undergraduate | 23 | 9.0% |
| Graduate / Professional | 6 | 2.3% |
| Total | 256 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 17052
Out of a total of 256 students who are enrolled in schools in Zip Code 17052, 28 (10.9%) attend a private institution, while the remaining 228 (89.1%) are enrolled in public schools. The age group of 20 to 24 year olds has the highest likelihood of being enrolled in private schools, with 6 (100.0% in the age bracket) enrolled. Conversely, the age group of 3 to 4 year olds has the lowest likelihood of being enrolled in a private school, with 12 (100.0% in the age bracket) attending a public institution.
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 12 (100.0%) | 0 (0.0%) |
| 5 to 9 Year Old | 43 (95.6%) | 2 (4.4%) |
| 10 to 14 Year Olds | 74 (92.5%) | 6 (7.5%) |
| 15 to 17 Year Olds | 76 (98.7%) | 1 (1.3%) |
| 18 to 19 Year Olds | 16 (69.6%) | 7 (30.4%) |
| 20 to 24 Year Olds | 0 (0.0%) | 6 (100.0%) |
| 25 to 34 Year Olds | 4 (80.0%) | 1 (20.0%) |
| 35 Years and over | 3 (37.5%) | 5 (62.5%) |
| Total | 228 (89.1%) | 28 (10.9%) |
Educational Attainment by Field of Study in Zip Code 17052
Arts & humanities (22 | 20.4%), education (20 | 18.5%), business (19 | 17.6%), bio, nature & agricultural (18 | 16.7%), and science & technology (15 | 13.9%) are the most common fields of study among 108 individuals in Zip Code 17052 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 2 | 1.8% |
| Bio, Nature & Agricultural | 18 | 16.7% |
| Physical & Health Sciences | 0 | 0.0% |
| Psychology | 4 | 3.7% |
| Social Sciences | 3 | 2.8% |
| Engineering | 0 | 0.0% |
| Multidisciplinary Studies | 0 | 0.0% |
| Science & Technology | 15 | 13.9% |
| Business | 19 | 17.6% |
| Education | 20 | 18.5% |
| Literature & Languages | 4 | 3.7% |
| Liberal Arts & History | 1 | 0.9% |
| Visual & Performing Arts | 0 | 0.0% |
| Communications | 0 | 0.0% |
| Arts & Humanities | 22 | 20.4% |
| Total | 108 | 100.0% |
Transportation & Commute in Zip Code 17052
Vehicle Availability by Sex in Zip Code 17052
The most prevalent vehicle ownership categories in Zip Code 17052 are males with 3 vehicles (147, accounting for 34.7%) and females with 3 vehicles (105, making up 46.8%).
| Vehicles Available | Male | Female |
| No Vehicle | 16 (3.8%) | 13 (4.1%) |
| 1 Vehicle | 17 (4.0%) | 46 (14.6%) |
| 2 Vehicles | 136 (32.2%) | 70 (22.3%) |
| 3 Vehicles | 147 (34.7%) | 105 (33.4%) |
| 4 Vehicles | 56 (13.2%) | 47 (15.0%) |
| 5 or more Vehicles | 51 (12.1%) | 33 (10.5%) |
| Total | 423 (100.0%) | 314 (100.0%) |
Commute Time in Zip Code 17052
The most frequently occuring commute durations in Zip Code 17052 are 15 to 19 minutes (149 commuters, 20.9%), 30 to 34 minutes (91 commuters, 12.8%), and 60 to 89 minutes (88 commuters, 12.3%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 3 | 0.4% |
| 5 to 9 Minutes | 22 | 3.1% |
| 10 to 14 Minutes | 48 | 6.7% |
| 15 to 19 Minutes | 149 | 20.9% |
| 20 to 24 Minutes | 74 | 10.4% |
| 25 to 29 Minutes | 27 | 3.8% |
| 30 to 34 Minutes | 91 | 12.8% |
| 35 to 39 Minutes | 23 | 3.2% |
| 40 to 44 Minutes | 56 | 7.8% |
| 45 to 59 Minutes | 66 | 9.2% |
| 60 to 89 Minutes | 88 | 12.3% |
| 90 or more Minutes | 67 | 9.4% |
Commute Time by Sex in Zip Code 17052
The most common commute times in Zip Code 17052 are 90 or more minutes (67 commuters, 16.0%) for males and 15 to 19 minutes (85 commuters, 28.7%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 3 (0.7%) | 0 (0.0%) |
| 5 to 9 Minutes | 13 (3.1%) | 9 (3.0%) |
| 10 to 14 Minutes | 34 (8.1%) | 14 (4.7%) |
| 15 to 19 Minutes | 64 (15.3%) | 85 (28.7%) |
| 20 to 24 Minutes | 19 (4.5%) | 55 (18.6%) |
| 25 to 29 Minutes | 4 (1.0%) | 23 (7.8%) |
| 30 to 34 Minutes | 58 (13.9%) | 33 (11.2%) |
| 35 to 39 Minutes | 14 (3.4%) | 9 (3.0%) |
| 40 to 44 Minutes | 38 (9.1%) | 18 (6.1%) |
| 45 to 59 Minutes | 45 (10.8%) | 21 (7.1%) |
| 60 to 89 Minutes | 59 (14.1%) | 29 (9.8%) |
| 90 or more Minutes | 67 (16.0%) | 0 (0.0%) |
Time of Departure to Work by Sex in Zip Code 17052
The most frequent times of departure to work in Zip Code 17052 are 12:00 AM to 4:59 AM (81, 19.4%) for males and 7:30 AM to 7:59 AM (76, 25.7%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 81 (19.4%) | 26 (8.8%) |
| 5:00 AM to 5:29 AM | 66 (15.8%) | 16 (5.4%) |
| 5:30 AM to 5:59 AM | 31 (7.4%) | 1 (0.3%) |
| 6:00 AM to 6:29 AM | 53 (12.7%) | 30 (10.1%) |
| 6:30 AM to 6:59 AM | 26 (6.2%) | 7 (2.4%) |
| 7:00 AM to 7:29 AM | 39 (9.3%) | 34 (11.5%) |
| 7:30 AM to 7:59 AM | 20 (4.8%) | 76 (25.7%) |
| 8:00 AM to 8:29 AM | 12 (2.9%) | 47 (15.9%) |
| 8:30 AM to 8:59 AM | 0 (0.0%) | 2 (0.7%) |
| 9:00 AM to 9:59 AM | 10 (2.4%) | 13 (4.4%) |
| 10:00 AM to 10:59 AM | 3 (0.7%) | 7 (2.4%) |
| 11:00 AM to 11:59 AM | 0 (0.0%) | 13 (4.4%) |
| 12:00 PM to 3:59 PM | 41 (9.8%) | 12 (4.1%) |
| 4:00 PM to 11:59 PM | 36 (8.6%) | 12 (4.1%) |
| Total | 418 (100.0%) | 296 (100.0%) |
Housing Occupancy in Zip Code 17052
Occupancy by Ownership in Zip Code 17052
Of the total 538 dwellings in Zip Code 17052, owner-occupied units account for 466 (86.6%), while renter-occupied units make up 72 (13.4%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 466 | 86.6% |
| Renter-Occupied Housing Units | 72 | 13.4% |
| Total Occupied Housing Units | 538 | 100.0% |
Occupancy by Household Size in Zip Code 17052
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 135 | 25.1% |
| 2-Person Household | 175 | 32.5% |
| 3-Person Household | 119 | 22.1% |
| 4+ Person Household | 109 | 20.3% |
| Total Housing Units | 538 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 17052
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 121 (89.6%) | 14 (10.4%) |
| 2-Person Household | 148 (84.6%) | 27 (15.4%) |
| 3-Person Household | 111 (93.3%) | 8 (6.7%) |
| 4+ Person Household | 86 (78.9%) | 23 (21.1%) |
| Total Housing Units | 466 (86.6%) | 72 (13.4%) |
Occupancy by Educational Attainment in Zip Code 17052
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 45 (84.9%) | 8 (15.1%) |
| High School Diploma | 263 (83.2%) | 53 (16.8%) |
| College/Associate Degree | 95 (90.5%) | 10 (9.5%) |
| Bachelor's Degree or higher | 63 (98.4%) | 1 (1.6%) |
Occupancy by Age of Householder in Zip Code 17052
| Age Bracket | # Households | % Households |
| Under 35 Years | 45 | 8.4% |
| 35 to 44 Years | 68 | 12.6% |
| 45 to 54 Years | 112 | 20.8% |
| 55 to 64 Years | 133 | 24.7% |
| 65 to 74 Years | 80 | 14.9% |
| 75 to 84 Years | 49 | 9.1% |
| 85 Years and Over | 51 | 9.5% |
| Total | 538 | 100.0% |
Housing Finances in Zip Code 17052
Median Income by Occupancy in Zip Code 17052
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 466 (86.6%) | $71,111 |
| Renter-Occupied | 72 (13.4%) | $40,263 |
| Average | 538 (100.0%) | $68,977 |
Occupancy by Householder Income Bracket in Zip Code 17052
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 0 (0.0%) | 0 (0.0%) |
| $5,000 to $9,999 | 3 (0.6%) | 3 (4.2%) |
| $10,000 to $14,999 | 36 (7.7%) | 0 (0.0%) |
| $15,000 to $19,999 | 19 (4.1%) | 4 (5.6%) |
| $20,000 to $24,999 | 10 (2.1%) | 10 (13.9%) |
| $25,000 to $34,999 | 31 (6.7%) | 11 (15.3%) |
| $35,000 to $49,999 | 59 (12.7%) | 25 (34.7%) |
| $50,000 to $74,999 | 104 (22.3%) | 1 (1.4%) |
| $75,000 to $99,999 | 71 (15.2%) | 6 (8.3%) |
| $100,000 to $149,999 | 66 (14.2%) | 9 (12.5%) |
| $150,000 or more | 67 (14.4%) | 3 (4.2%) |
| Total | 466 (100.0%) | 72 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 17052
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 56 (12.0%) | 0 (0.0%) |
| $300 to $499 | 101 (21.7%) | 1 (1.4%) |
| $500 to $799 | 113 (24.2%) | 15 (20.8%) |
| $800 to $999 | 37 (7.9%) | 20 (27.8%) |
| $1,000 to $1,499 | 92 (19.7%) | 10 (13.9%) |
| $1,500 to $1,999 | 57 (12.2%) | 0 (0.0%) |
| $2,000 to $2,499 | 10 (2.1%) | 0 (0.0%) |
| $2,500 to $2,999 | 0 (0.0%) | 0 (0.0%) |
| $3,000 or more | 0 (0.0%) | 0 (0.0%) |
| Total | 466 (100.0%) | 72 (100.0%) |
Physical Housing Characteristics in Zip Code 17052
Housing Structures in Zip Code 17052
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 448 | 83.3% |
| Single Unit, Attached | 19 | 3.5% |
| 2 Unit Apartments | 9 | 1.7% |
| 3 or 4 Unit Apartments | 3 | 0.6% |
| 5 to 9 Unit Apartments | 0 | 0.0% |
| 10 or more Apartments | 0 | 0.0% |
| Mobile Home / Other | 59 | 11.0% |
| Total | 538 | 100.0% |
Housing Structures by Occupancy in Zip Code 17052
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 402 (89.7%) | 46 (10.3%) |
| Single Unit, Attached | 18 (94.7%) | 1 (5.3%) |
| 2 Unit Apartments | 1 (11.1%) | 8 (88.9%) |
| 3 or 4 Unit Apartments | 0 (0.0%) | 3 (100.0%) |
| 5 to 9 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
| 10 or more Apartments | 0 (0.0%) | 0 (0.0%) |
| Mobile Home / Other | 45 (76.3%) | 14 (23.7%) |
| Total | 466 (86.6%) | 72 (13.4%) |
Housing Structures by Number of Rooms in Zip Code 17052
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 0 (0.0%) |
| 2 or 3 Rooms | 4 (0.9%) | 11 (15.3%) |
| 4 or 5 Rooms | 107 (23.0%) | 22 (30.6%) |
| 6 or 7 Rooms | 207 (44.4%) | 15 (20.8%) |
| 8 or more Rooms | 148 (31.8%) | 24 (33.3%) |
| Total | 466 (100.0%) | 72 (100.0%) |
Housing Structure by Heating Type in Zip Code 17052
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 7 (1.5%) | 4 (5.6%) |
| Bottled, Tank, or LP Gas | 13 (2.8%) | 5 (6.9%) |
| Electricity | 75 (16.1%) | 14 (19.4%) |
| Fuel Oil or Kerosene | 257 (55.1%) | 31 (43.1%) |
| Coal or Coke | 9 (1.9%) | 0 (0.0%) |
| All other Fuels | 102 (21.9%) | 18 (25.0%) |
| No Fuel Used | 3 (0.6%) | 0 (0.0%) |
| Total | 466 (100.0%) | 72 (100.0%) |
Household Vehicle Usage in Zip Code 17052
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 41 (8.8%) | 11 (15.3%) |
| 1 Vehicle | 78 (16.7%) | 19 (26.4%) |
| 2 Vehicles | 132 (28.3%) | 20 (27.8%) |
| 3 or more Vehicles | 215 (46.1%) | 22 (30.6%) |
| Total | 466 (100.0%) | 72 (100.0%) |
Real Estate & Mortgages in Zip Code 17052
Real Estate and Mortgage Overview in Zip Code 17052
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 237 | 229 |
| Median Property Value | $115,900 | $158,500 |
| Median Household Income | $52,917 | $46 |
| Monthly Housing Costs | $393 | $0 |
| Real Estate Taxes | $1,159 | $0 |
Property Value by Mortgage Status in Zip Code 17052
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 28 (11.8%) | 17 (7.4%) |
| $50,000 to $99,999 | 53 (22.4%) | 54 (23.6%) |
| $100,000 to $299,999 | 130 (54.8%) | 124 (54.1%) |
| $300,000 to $499,999 | 12 (5.1%) | 30 (13.1%) |
| $500,000 to $749,999 | 11 (4.6%) | 0 (0.0%) |
| $750,000 to $999,999 | 3 (1.3%) | 0 (0.0%) |
| $1,000,000 or more | 0 (0.0%) | 4 (1.8%) |
| Total | 237 (100.0%) | 229 (100.0%) |
Household Income by Mortgage Status in Zip Code 17052
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 3 (1.3%) | 2 (0.9%) |
| $10,000 to $24,999 | 63 (26.6%) | 0 (0.0%) |
| $25,000 to $34,999 | 29 (12.2%) | 2 (0.9%) |
| $35,000 to $49,999 | 20 (8.4%) | 2 (0.9%) |
| $50,000 to $74,999 | 53 (22.4%) | 39 (17.0%) |
| $75,000 to $99,999 | 35 (14.8%) | 51 (22.3%) |
| $100,000 to $149,999 | 13 (5.5%) | 36 (15.7%) |
| $150,000 or more | 21 (8.9%) | 53 (23.1%) |
| Total | 237 (100.0%) | 229 (100.0%) |
Property Value to Household Income Ratio in Zip Code 17052
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 85 (35.9%) | 86,563 (37,800.4%) |
| 2.0x to 2.9x | 48 (20.3%) | 138 (60.3%) |
| 3.0x to 3.9x | 35 (14.8%) | 54 (23.6%) |
| 4.0x or more | 69 (29.1%) | 9 (3.9%) |
| Total | 237 (100.0%) | 229 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 17052
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 46 (19.4%) | 0 (0.0%) |
| $800 to $1,499 | 111 (46.8%) | 36 (15.7%) |
| $800 to $1,499 | 78 (32.9%) | 64 (28.0%) |
| Total | 237 (100.0%) | 229 (100.0%) |
Health & Disability in Zip Code 17052
Health Insurance Coverage by Age in Zip Code 17052
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 89 (100.0%) | 0 (0.0%) |
| 6 to 18 Years | 205 (89.9%) | 23 (10.1%) |
| 19 to 25 Years | 124 (97.6%) | 3 (2.4%) |
| 26 to 34 Years | 124 (93.9%) | 8 (6.1%) |
| 35 to 44 Years | 135 (84.4%) | 25 (15.6%) |
| 45 to 54 Years | 246 (95.0%) | 13 (5.0%) |
| 55 to 64 Years | 227 (97.8%) | 5 (2.2%) |
| 65 to 74 Years | 128 (96.2%) | 5 (3.8%) |
| 75 Years and older | 130 (100.0%) | 0 (0.0%) |
| Total | 1,408 (94.5%) | 82 (5.5%) |
Health Insurance Coverage by Citizenship Status in Zip Code 17052
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 89 (100.0%) | 0 (0.0%) |
| Foreign Born, Citizen | 205 (89.9%) | 23 (10.1%) |
| Foreign Born, not a Citizen | 124 (97.6%) | 3 (2.4%) |
Health Insurance Coverage by Household Income in Zip Code 17052
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 111 (92.5%) | 9 (7.5%) |
| $25,000 to $49,999 | 322 (91.0%) | 32 (9.0%) |
| $50,000 to $74,999 | 244 (97.6%) | 6 (2.4%) |
| $75,000 to $99,999 | 213 (92.2%) | 18 (7.8%) |
| $100,000 and over | 518 (96.8%) | 17 (3.2%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 17052
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 39 (43.8%) | 69 (77.5%) |
| 6 to 18 Years | 71 (31.1%) | 173 (75.9%) |
| 19 to 25 Years | 26 (20.5%) | 103 (81.1%) |
| 25 to 34 Years | 17 (12.9%) | 115 (87.1%) |
| 35 to 44 Years | 23 (14.4%) | 124 (77.5%) |
| 45 to 54 Years | 21 (8.1%) | 227 (87.6%) |
| 55 to 64 Years | 64 (27.6%) | 197 (84.9%) |
| 65 to 74 Years | 118 (88.7%) | 101 (75.9%) |
| 75 Years and over | 130 (100.0%) | 90 (69.2%) |
| Total | 509 (34.2%) | 1,199 (80.5%) |
Disability Status by Sex by Age in Zip Code 17052
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 9 (7.4%) | 18 (18.6%) |
| 18 to 34 Years | 18 (9.5%) | 11 (11.0%) |
| 35 to 64 Years | 97 (28.6%) | 43 (13.8%) |
| 65 to 74 Years | 22 (36.1%) | 18 (25.0%) |
| 75 Years and over | 24 (55.8%) | 49 (56.3%) |
Disability Class by Sex by Age in Zip Code 17052
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 10 (10.3%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 24 (7.1%) | 9 (2.9%) |
| 65 to 74 Years | 16 (26.2%) | 3 (4.2%) |
| 75 Years and over | 20 (46.5%) | 28 (32.2%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 2 (2.1%) |
| 18 to 34 Years | 6 (3.2%) | 0 (0.0%) |
| 35 to 64 Years | 16 (4.7%) | 6 (1.9%) |
| 65 to 74 Years | 0 (0.0%) | 0 (0.0%) |
| 75 Years and over | 3 (7.0%) | 12 (13.8%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 9 (7.4%) | 18 (18.6%) |
| 18 to 34 Years | 12 (6.4%) | 10 (10.0%) |
| 35 to 64 Years | 32 (9.4%) | 11 (3.5%) |
| 65 to 74 Years | 5 (8.2%) | 6 (8.3%) |
| 75 Years and over | 4 (9.3%) | 7 (8.1%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 1 (1.0%) |
| 35 to 64 Years | 41 (12.1%) | 22 (7.0%) |
| 65 to 74 Years | 7 (11.5%) | 18 (25.0%) |
| 75 Years and over | 5 (11.6%) | 17 (19.5%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 7 (3.7%) | 6 (6.0%) |
| 35 to 64 Years | 15 (4.4%) | 12 (3.8%) |
| 65 to 74 Years | 4 (6.6%) | 10 (13.9%) |
| 75 Years and over | 0 (0.0%) | 14 (16.1%) |
Technology Access in Zip Code 17052
Computing Device Access in Zip Code 17052
| Device Type | # Households | % Households |
| Desktop or Laptop | 404 | 75.1% |
| Smartphone | 390 | 72.5% |
| Tablet | 321 | 59.7% |
| No Computing Device | 88 | 16.4% |
| Total | 538 | 100.0% |
Internet Access in Zip Code 17052
| Internet Type | # Households | % Households |
| Dial-Up Internet | 0 | 0.0% |
| Broadband Home | 361 | 67.1% |
| Cellular Data Only | 23 | 4.3% |
| Satellite Internet | 32 | 5.9% |
| No Internet | 115 | 21.4% |
| Total | 538 | 100.0% |
Common Questions
What is the Total Population of Zip Code 17052?
Total Population of Zip Code 17052 is 1,490.
What is the Total Male Population of Zip Code 17052?
Total Male Population of Zip Code 17052 is 794.
What is the Total Female Population of Zip Code 17052?
Total Female Population of Zip Code 17052 is 696.
What is the Ratio of Males per 100 Females in Zip Code 17052?
There are 114.08 Males per 100 Females in Zip Code 17052.
What is the Ratio of Females per 100 Males in Zip Code 17052?
There are 87.66 Females per 100 Males in Zip Code 17052.
What is the Median Population Age in Zip Code 17052?
Median Population Age in Zip Code 17052 is 45.6 Years.
What is the Average Family Size in Zip Code 17052
Average Family Size in Zip Code 17052 is 3.3 People.
What is the Average Household Size in Zip Code 17052
Average Household Size in Zip Code 17052 is 2.8 People.
What is Per Capita Income in Zip Code 17052?
Per Capita income in Zip Code 17052 is $32,108.
What is the Median Family Income in Zip Code 17052?
Median Family Income in Zip Code 17052 is $79,063.
What is the Median Household income in Zip Code 17052?
Median Household Income in Zip Code 17052 is $68,977.
What is Income or Wage Gap in Zip Code 17052?
Income or Wage Gap in Zip Code 17052 is 25.8%.
Women in Zip Code 17052 earn 74.2 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 17052?
Inequality or Gini Index in Zip Code 17052 is 0.39.
How Large is the Labor Force in Zip Code 17052?
There are 769 People in the Labor Forcein in Zip Code 17052.
What is the Percentage of People in the Labor Force in Zip Code 17052?
60.9% of People are in the Labor Force in Zip Code 17052.
What is the Unemployment Rate in Zip Code 17052?
Unemployment Rate in Zip Code 17052 is 3.5%.