Zip Code 17003
Zip Code 17003 Map
Zip Code 17003 Overview
12,260
TOTAL POPULATION
6,188
MALE POPULATION
6,072
FEMALE POPULATION
101.91
MALES / 100 FEMALES
98.13
FEMALES / 100 MALES
37.5
MEDIAN AGE
3.0
AVG FAMILY SIZE
2.5
AVG HOUSEHOLD SIZE
$34,307
PER CAPITA INCOME
$104,767
AVG FAMILY INCOME
$83,406
AVG HOUSEHOLD INCOME
36.0%
WAGE / INCOME GAP [ % ]
64.0¢/ $1
WAGE / INCOME GAP [ $ ]
0.39
INEQUALITY / GINI INDEX
6,414
LABOR FORCE [ PEOPLE ]
61.6%
PERCENT IN LABOR FORCE
4.1%
UNEMPLOYMENT RATE
Zip Code 17003 Area Codes
Race in Zip Code 17003
The most populous races in Zip Code 17003 are White / Caucasian (10,852 | 88.5%), Hispanic or Latino (855 | 7.0%), and Some other Race (474 | 3.9%).
| Race | # Population | % Population |
| Asian | 393 | 3.2% |
| Black / African American | 270 | 2.2% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 855 | 7.0% |
| Native / Alaskan | 6 | 0.1% |
| White / Caucasian | 10,852 | 88.5% |
| Two or more Races | 265 | 2.2% |
| Some other Race | 474 | 3.9% |
| Total | 12,260 | 100.0% |
Ancestry in Zip Code 17003
The most populous ancestries reported in Zip Code 17003 are German (4,331 | 35.3%), Irish (1,113 | 9.1%), Italian (886 | 7.2%), English (600 | 4.9%), and American (593 | 4.8%), together accounting for 61.4% of all Zip Code 17003 residents.
| Ancestry | # Population | % Population |
| African | 17 | 0.1% |
| American | 593 | 4.8% |
| Australian | 10 | 0.1% |
| Austrian | 7 | 0.1% |
| Blackfeet | 6 | 0.1% |
| British | 62 | 0.5% |
| Canadian | 200 | 1.6% |
| Central American | 200 | 1.6% |
| Costa Rican | 11 | 0.1% |
| Croatian | 50 | 0.4% |
| Cuban | 22 | 0.2% |
| Cypriot | 76 | 0.6% |
| Czech | 4 | 0.0% |
| Czechoslovakian | 7 | 0.1% |
| Danish | 35 | 0.3% |
| Dominican | 116 | 0.9% |
| Dutch | 194 | 1.6% |
| Ecuadorian | 5 | 0.0% |
| English | 600 | 4.9% |
| European | 67 | 0.5% |
| Finnish | 6 | 0.1% |
| French | 236 | 1.9% |
| German | 4,331 | 35.3% |
| Greek | 169 | 1.4% |
| Guatemalan | 35 | 0.3% |
| Honduran | 106 | 0.9% |
| Hungarian | 55 | 0.4% |
| Indian (Asian) | 232 | 1.9% |
| Indonesian | 17 | 0.1% |
| Irish | 1,113 | 9.1% |
| Italian | 886 | 7.2% |
| Jamaican | 4 | 0.0% |
| Kenyan | 6 | 0.1% |
| Lithuanian | 152 | 1.2% |
| Macedonian | 24 | 0.2% |
| Nigerian | 12 | 0.1% |
| Northern European | 3 | 0.0% |
| Norwegian | 79 | 0.6% |
| Pakistani | 10 | 0.1% |
| Panamanian | 48 | 0.4% |
| Pennsylvania German | 96 | 0.8% |
| Polish | 564 | 4.6% |
| Portuguese | 4 | 0.0% |
| Puerto Rican | 379 | 3.1% |
| Russian | 103 | 0.8% |
| Scandinavian | 32 | 0.3% |
| Scotch-Irish | 131 | 1.1% |
| Scottish | 170 | 1.4% |
| Slavic | 4 | 0.0% |
| Slovak | 64 | 0.5% |
| Slovene | 4 | 0.0% |
| South American | 5 | 0.0% |
| Sri Lankan | 6 | 0.1% |
| Subsaharan African | 75 | 0.6% |
| Swedish | 136 | 1.1% |
| Swiss | 191 | 1.6% |
| Thai | 5 | 0.0% |
| Ukrainian | 22 | 0.2% |
| Welsh | 98 | 0.8% |
| West Indian | 15 | 0.1% |
| Yugoslavian | 8 | 0.1% | View All 61 Rows |
Immigrants in Zip Code 17003
The most numerous immigrant groups reported in Zip Code 17003 came from Latin America (273 | 2.2%), Asia (267 | 2.2%), China (141 | 1.1%), Eastern Asia (141 | 1.1%), and Central America (131 | 1.1%), together accounting for 7.8% of all Zip Code 17003 residents.
| Immigration Origin | # Population | % Population |
| Africa | 122 | 1.0% |
| Asia | 267 | 2.2% |
| Australia | 10 | 0.1% |
| Canada | 4 | 0.0% |
| Caribbean | 68 | 0.5% |
| Central America | 131 | 1.1% |
| China | 141 | 1.1% |
| Colombia | 69 | 0.6% |
| Costa Rica | 11 | 0.1% |
| Cuba | 22 | 0.2% |
| Dominican Republic | 46 | 0.4% |
| Eastern Africa | 110 | 0.9% |
| Eastern Asia | 141 | 1.1% |
| Eastern Europe | 4 | 0.0% |
| Ecuador | 5 | 0.0% |
| England | 3 | 0.0% |
| Europe | 53 | 0.4% |
| France | 24 | 0.2% |
| Germany | 8 | 0.1% |
| Guatemala | 35 | 0.3% |
| Honduras | 37 | 0.3% |
| India | 5 | 0.0% |
| Kenya | 63 | 0.5% |
| Latin America | 273 | 2.2% |
| Nigeria | 12 | 0.1% |
| Northern Europe | 17 | 0.1% |
| Oceania | 10 | 0.1% |
| Panama | 48 | 0.4% |
| Russia | 4 | 0.0% |
| South America | 74 | 0.6% |
| South Central Asia | 23 | 0.2% |
| South Eastern Asia | 27 | 0.2% |
| Thailand | 10 | 0.1% |
| Western Africa | 12 | 0.1% |
| Western Asia | 76 | 0.6% |
| Western Europe | 32 | 0.3% | View All 36 Rows |
Sex and Age in Zip Code 17003
Sex and Age in Zip Code 17003
The most populous age groups in Zip Code 17003 are 20 to 24 Years (906 | 14.6%) for men and 20 to 24 Years (720 | 11.9%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 280 (4.5%) | 162 (2.7%) |
| 5 to 9 Years | 268 (4.3%) | 454 (7.5%) |
| 10 to 14 Years | 326 (5.3%) | 292 (4.8%) |
| 15 to 19 Years | 616 (10.0%) | 692 (11.4%) |
| 20 to 24 Years | 906 (14.6%) | 720 (11.9%) |
| 25 to 29 Years | 288 (4.6%) | 187 (3.1%) |
| 30 to 34 Years | 270 (4.4%) | 279 (4.6%) |
| 35 to 39 Years | 358 (5.8%) | 402 (6.6%) |
| 40 to 44 Years | 260 (4.2%) | 343 (5.7%) |
| 45 to 49 Years | 413 (6.7%) | 247 (4.1%) |
| 50 to 54 Years | 430 (7.0%) | 403 (6.6%) |
| 55 to 59 Years | 288 (4.6%) | 324 (5.3%) |
| 60 to 64 Years | 358 (5.8%) | 320 (5.3%) |
| 65 to 69 Years | 344 (5.6%) | 362 (6.0%) |
| 70 to 74 Years | 417 (6.7%) | 281 (4.6%) |
| 75 to 79 Years | 137 (2.2%) | 226 (3.7%) |
| 80 to 84 Years | 96 (1.5%) | 161 (2.6%) |
| 85 Years and over | 133 (2.1%) | 217 (3.6%) |
| Total | 6,188 (100.0%) | 6,072 (100.0%) |
Families and Households in Zip Code 17003
Median Family Size in Zip Code 17003
The median family size in Zip Code 17003 is 2.97 persons per family, with married-couple families (2,617 | 86.1%) accounting for the largest median family size of 3.01 persons per family. On the other hand, single male/father families (174 | 5.7%) represent the smallest median family size with 2.55 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 2,617 (86.1%) | 3.01 |
| Single Male/Father | 174 (5.7%) | 2.55 |
| Single Female/Mother | 250 (8.2%) | 2.84 |
| Total Families | 3,041 (100.0%) | 2.97 |
Median Household Size in Zip Code 17003
The median household size in Zip Code 17003 is 2.52 persons per household, with single female/mother households (250 | 5.9%) accounting for the largest median household size of 3.19 persons per household. non-family households (1,190 | 28.1%) represent the smallest median household size with 1.18 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 2,617 (61.9%) | 3.02 |
| Single Male/Father | 174 (4.1%) | 3.14 |
| Single Female/Mother | 250 (5.9%) | 3.19 |
| Non-family | 1,190 (28.1%) | 1.18 |
| Total Households | 4,231 (100.0%) | 2.52 |
Household Size by Marriage Status in Zip Code 17003
Out of a total of 4,231 households in Zip Code 17003, 3,041 (71.9%) are family households, while 1,190 (28.1%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 1,506, and the most common type of nonfamily households are 1-person households, comprising 1,025.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 1,025 (24.2%) |
| 2-Person Households | 1,506 (35.6%) | 155 (3.7%) |
| 3-Person Households | 552 (13.1%) | 5 (0.1%) |
| 4-Person Households | 582 (13.8%) | 5 (0.1%) |
| 5-Person Households | 213 (5.0%) | 0 (0.0%) |
| 6-Person Households | 121 (2.9%) | 0 (0.0%) |
| 7+ Person Households | 67 (1.6%) | 0 (0.0%) |
| Total | 3,041 (71.9%) | 1,190 (28.1%) |
Female Fertility in Zip Code 17003
Fertility by Age in Zip Code 17003
Average fertility rate in Zip Code 17003 is 19.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 43.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 91.1% 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 | 51 (91.1%) | 43.0 |
| 35 to 50 years | 5 (8.9%) | 4.0 |
| Total | 56 (100.0%) | 19.0 |
Fertility by Age by Marriage Status in Zip Code 17003
82.1% of women with births (56) in Zip Code 17003 are married. The highest percentage of unmarried women with births falls into 20 to 34 years age bracket with 19.6% 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 0.0% of them unmarried.
| Age Bracket | Married | Unmarried |
| 15 to 19 years | 0 (0.0%) | 0 (0.0%) |
| 20 to 34 years | 41 (80.4%) | 10 (19.6%) |
| 35 to 50 years | 5 (100.0%) | 0 (0.0%) |
| Total | 46 (82.1%) | 10 (17.9%) |
Fertility by Education in Zip Code 17003
| Educational Attainment | Women with Births | Births / 1,000 Women |
| Less than High School | 0 (0.0%) | 0.0 |
| High School Diploma | 17 (30.4%) | 27.0 |
| College or Associate's Degree | 4 (7.1%) | 3.0 |
| Bachelor's Degree | 18 (32.1%) | 37.0 |
| Graduate Degree | 17 (30.4%) | 45.0 |
| Total | 56 (100.0%) | 19.0 |
Fertility by Education by Marriage Status in Zip Code 17003
17.9% of women with births in Zip Code 17003 are unmarried. Women with the educational attainment of college or associate's degree are most likely to be married with 100.0% of them married at childbirth, while women with the educational attainment of bachelor's degree are least likely to be married with 33.3% of them unmarried at childbirth.
| Educational Attainment | Married | Unmarried |
| Less than High School | 0 (0.0%) | 0 (0.0%) |
| High School Diploma | 13 (76.5%) | 4 (23.5%) |
| College or Associate's Degree | 4 (100.0%) | 0 (0.0%) |
| Bachelor's Degree | 12 (66.7%) | 6 (33.3%) |
| Graduate Degree | 17 (100.0%) | 0 (0.0%) |
| Total | 46 (82.1%) | 10 (17.9%) |
Income in Zip Code 17003
Income Overview in Zip Code 17003
Per Capita Income in Zip Code 17003 is $34,307, while median incomes of families and households are $104,767 and $83,406 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 12,260 | $34,307 |
| Median Family Income | 3,041 | $104,767 |
| Mean Family Income | 3,041 | $116,856 |
| Median Household Income | 4,231 | $83,406 |
| Mean Household Income | 4,231 | $98,579 |
| Income Deficit | 3,041 | $0 |
| Wage / Income Gap (%) | 12,260 | 36.01% |
| Wage / Income Gap ($) | 12,260 | 63.99¢ per $1 |
| Gini / Inequality Index | 12,260 | 0.39 |
Earnings by Sex in Zip Code 17003
Average Earnings in Zip Code 17003 are $31,476, $37,558 for men and $24,032 for women, a difference of 36.0%.
| Sex | Number | Average Earnings |
| Male | 3,871 (52.7%) | $37,558 |
| Female | 3,472 (47.3%) | $24,032 |
| Total | 7,343 (100.0%) | $31,476 |
Earnings by Sex by Income Bracket in Zip Code 17003
The most common earnings brackets in Zip Code 17003 are $100,000+ for men (526 | 13.6%) and $2,499 or less for women (526 | 15.1%).
| Income | Male | Female |
| $2,499 or less | 324 (8.4%) | 526 (15.1%) |
| $2,500 to $4,999 | 217 (5.6%) | 299 (8.6%) |
| $5,000 to $7,499 | 380 (9.8%) | 254 (7.3%) |
| $7,500 to $9,999 | 209 (5.4%) | 163 (4.7%) |
| $10,000 to $12,499 | 124 (3.2%) | 52 (1.5%) |
| $12,500 to $14,999 | 55 (1.4%) | 104 (3.0%) |
| $15,000 to $17,499 | 39 (1.0%) | 47 (1.3%) |
| $17,500 to $19,999 | 89 (2.3%) | 91 (2.6%) |
| $20,000 to $22,499 | 20 (0.5%) | 113 (3.3%) |
| $22,500 to $24,999 | 118 (3.0%) | 142 (4.1%) |
| $25,000 to $29,999 | 100 (2.6%) | 91 (2.6%) |
| $30,000 to $34,999 | 137 (3.5%) | 139 (4.0%) |
| $35,000 to $39,999 | 270 (7.0%) | 145 (4.2%) |
| $40,000 to $44,999 | 96 (2.5%) | 200 (5.8%) |
| $45,000 to $49,999 | 206 (5.3%) | 111 (3.2%) |
| $50,000 to $54,999 | 145 (3.7%) | 119 (3.4%) |
| $55,000 to $64,999 | 290 (7.5%) | 257 (7.4%) |
| $65,000 to $74,999 | 279 (7.2%) | 112 (3.2%) |
| $75,000 to $99,999 | 247 (6.4%) | 252 (7.3%) |
| $100,000+ | 526 (13.6%) | 255 (7.3%) |
| Total | 3,871 (100.0%) | 3,472 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 17003
Average earnings in Zip Code 17003 are $55,309 for men and $41,833 for women, a difference of 24.4%. Men with an educational attainment of bachelor's degree enjoy the highest average annual earnings of $75,462, while those with high school diploma education earn the least with $47,367. Women with an educational attainment of graduate degree earn the most with the average annual earnings of $59,885, while those with high school diploma education have the smallest earnings of $30,686.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $68,355 | $0 |
| High School Diploma | $47,367 | $30,686 |
| College or Associate's Degree | $55,254 | $40,536 |
| Bachelor's Degree | $75,462 | $47,500 |
| Graduate Degree | $53,750 | $59,885 |
| Total | $55,309 | $41,833 |
Family Income in Zip Code 17003
Family Income Brackets in Zip Code 17003
According to the Zip Code 17003 family income data, there are 900 families falling into the $100,000 to $149,999 income range, which is the most common income bracket and makes up 29.6% of all families. Conversely, the $10,000 to $14,999 income bracket is the least frequent group with only 21 families (0.7%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 30 | 1.0% |
| $10,000 to $14,999 | 21 | 0.7% |
| $15,000 to $24,999 | 70 | 2.3% |
| $25,000 to $34,999 | 179 | 5.9% |
| $35,000 to $49,999 | 131 | 4.3% |
| $50,000 to $74,999 | 471 | 15.5% |
| $75,000 to $99,999 | 529 | 17.4% |
| $100,000 to $149,999 | 900 | 29.6% |
| $150,000 to $199,999 | 341 | 11.2% |
| $200,000+ | 371 | 12.2% |
Family Income by Famaliy Size in Zip Code 17003
6-person families (110 | 3.6%) account for the highest median family income in Zip Code 17003 with $150,938 per family, while 2-person families (1,603 | 52.7%) have the highest median income of $45,300 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 1,603 (52.7%) | $90,601 |
| 3-Person Families | 503 (16.5%) | $115,841 |
| 4-Person Families | 577 (19.0%) | $133,324 |
| 5-Person Families | 181 (5.9%) | $119,732 |
| 6-Person Families | 110 (3.6%) | $150,938 |
| 7+ Person Families | 67 (2.2%) | $81,994 |
| Total | 3,041 (100.0%) | $104,767 |
Family Income by Number of Earners in Zip Code 17003
The median family income in Zip Code 17003 is $104,767, with families comprising 3+ earners (452) having the highest median family income of $139,868, while families with no earners (503) have the lowest median family income of $63,047, accounting for 14.9% and 16.5% of families, respectively.
| Number of Earners | # Families | Median Income |
| No Earners | 503 (16.5%) | $63,047 |
| 1 Earner | 629 (20.7%) | $111,699 |
| 2 Earners | 1,457 (47.9%) | $112,083 |
| 3+ Earners | 452 (14.9%) | $139,868 |
| Total | 3,041 (100.0%) | $104,767 |
Household Income in Zip Code 17003
Household Income Brackets in Zip Code 17003
With 982 households falling in the category, the $100,000 to $149,999 income range is the most frequent in Zip Code 17003, accounting for 23.2% of all households. In contrast, only 38 households (0.9%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 127 | 3.0% |
| $10,000 to $14,999 | 38 | 0.9% |
| $15,000 to $24,999 | 309 | 7.3% |
| $25,000 to $34,999 | 330 | 7.8% |
| $35,000 to $49,999 | 393 | 9.3% |
| $50,000 to $74,999 | 698 | 16.5% |
| $75,000 to $99,999 | 626 | 14.8% |
| $100,000 to $149,999 | 982 | 23.2% |
| $150,000 to $199,999 | 322 | 7.6% |
| $200,000+ | 410 | 9.7% |
Household Income by Householder Age in Zip Code 17003
The median household income in Zip Code 17003 is $83,406, with the highest median household income of $110,880 found in the 25 to 44 years age bracket for the primary householder. A total of 1,085 households (25.6%) 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 242 households (5.7%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 242 (5.7%) | $0 |
| 25 to 44 Years | 1,085 (25.6%) | $110,880 |
| 45 to 64 Years | 1,370 (32.4%) | $92,123 |
| 65+ Years | 1,534 (36.3%) | $62,727 |
| Total | 4,231 (100.0%) | $83,406 |
Poverty in Zip Code 17003
Income Below Poverty by Sex and Age in Zip Code 17003
With 4.9% poverty level for males and 6.8% for females among the residents of Zip Code 17003, 15 year old males and 16 and 17 year old females are the most vulnerable to poverty, with 4 males (11.1%) and 22 females (22.7%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 21 (7.5%) | 9 (5.6%) |
| 5 Years | 0 (0.0%) | 0 (0.0%) |
| 6 to 11 Years | 17 (4.8%) | 0 (0.0%) |
| 12 to 14 Years | 15 (9.3%) | 0 (0.0%) |
| 15 Years | 4 (11.1%) | 0 (0.0%) |
| 16 and 17 Years | 0 (0.0%) | 22 (22.7%) |
| 18 to 24 Years | 73 (10.9%) | 74 (15.8%) |
| 25 to 34 Years | 45 (8.1%) | 78 (17.2%) |
| 35 to 44 Years | 3 (0.5%) | 33 (4.5%) |
| 45 to 54 Years | 34 (4.0%) | 23 (3.5%) |
| 55 to 64 Years | 23 (3.6%) | 28 (4.3%) |
| 65 to 74 Years | 10 (1.3%) | 11 (1.7%) |
| 75 Years and over | 22 (6.5%) | 74 (13.3%) |
| Total | 267 (4.9%) | 352 (6.8%) |
Income Above Poverty by Sex and Age in Zip Code 17003
According to the poverty statistics in Zip Code 17003, males aged 5 years and females aged 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.
| Age Bracket | Male | Female |
| Under 5 Years | 259 (92.5%) | 153 (94.4%) |
| 5 Years | 77 (100.0%) | 95 (100.0%) |
| 6 to 11 Years | 338 (95.2%) | 409 (100.0%) |
| 12 to 14 Years | 147 (90.7%) | 242 (100.0%) |
| 15 Years | 32 (88.9%) | 29 (100.0%) |
| 16 and 17 Years | 149 (100.0%) | 75 (77.3%) |
| 18 to 24 Years | 595 (89.1%) | 395 (84.2%) |
| 25 to 34 Years | 513 (91.9%) | 376 (82.8%) |
| 35 to 44 Years | 607 (99.5%) | 706 (95.5%) |
| 45 to 54 Years | 809 (96.0%) | 627 (96.5%) |
| 55 to 64 Years | 623 (96.4%) | 616 (95.7%) |
| 65 to 74 Years | 751 (98.7%) | 626 (98.3%) |
| 75 Years and over | 319 (93.5%) | 483 (86.7%) |
| Total | 5,219 (95.1%) | 4,832 (93.2%) |
Income Below Poverty Among Married-Couple Families in Zip Code 17003
The poverty statistics for married-couple families in Zip Code 17003 show that 1.7% or 45 of the total 2,617 families live below the poverty line. Families with 1 or 2 children have the highest poverty rate of 2.7%, comprising of 20 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 | 1,641 (98.5%) | 25 (1.5%) |
| 1 or 2 Children | 729 (97.3%) | 20 (2.7%) |
| 3 or 4 Children | 177 (100.0%) | 0 (0.0%) |
| 5 or more Children | 25 (100.0%) | 0 (0.0%) |
| Total | 2,572 (98.3%) | 45 (1.7%) |
Income Below Poverty Among Single-Parent Households in Zip Code 17003
According to the poverty data in Zip Code 17003, 12.6% or 22 single-father households and 13.2% or 33 single-mother households are living below the poverty line. Among single-father households, those with no children have the highest poverty rate, with 22 households (17.9%) experiencing poverty. Likewise, among single-mother households, those with 1 or 2 children have the highest poverty rate, with 21 households (28.8%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 22 (17.9%) | 12 (8.1%) |
| 1 or 2 Children | 0 (0.0%) | 21 (28.8%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 22 (12.6%) | 33 (13.2%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 17003
The poverty data for Zip Code 17003 shows that 45 of the married-couple family households (1.7%) and 55 of the single-parent households (13.0%) are living below the poverty level. Within the married-couple family households, those with 1 or 2 children have the highest poverty rate, with 20 households (2.7%) falling below the poverty line. Among the single-parent households, those with 1 or 2 children have the highest poverty rate, with 21 household (18.6%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 25 (1.5%) | 34 (12.6%) |
| 1 or 2 Children | 20 (2.7%) | 21 (18.6%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 45 (1.7%) | 55 (13.0%) |
Employment Characteristics in Zip Code 17003
Employment by Class of Employer in Zip Code 17003
Among the 6,076 employed individuals in Zip Code 17003, private company employees (4,071 | 67.0%), not-for-profit organizations (919 | 15.1%), and local government employees (345 | 5.7%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 4,071 | 67.0% |
| Self-Employed (Incorporated) | 162 | 2.7% |
| Self-Employed (Not Incorporated) | 185 | 3.0% |
| Not-for-profit Organizations | 919 | 15.1% |
| Local Government Employees | 345 | 5.7% |
| State Government Employees | 205 | 3.4% |
| Federal Government Employees | 184 | 3.0% |
| Unpaid Family Workers | 5 | 0.1% |
| Total | 6,076 | 100.0% |
Employment Status by Age in Zip Code 17003
According to the labor force statistics for Zip Code 17003, out of the total population over 16 years of age (10,413), 61.6% or 6,414 individuals are in the labor force, with 4.1% or 263 of them unemployed. The age group with the highest labor force participation rate is 35 to 44 years, with 94.9% or 1,293 individuals in the labor force. Within the labor force, the 75 years and over age range has the highest percentage of unemployed individuals, with 11.8% or 9 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 423 (34.0%) | 40 (9.5%) |
| 20 to 24 Years | 1,137 (69.9%) | 24 (2.1%) |
| 25 to 29 Years | 435 (91.6%) | 31 (7.1%) |
| 30 to 34 Years | 487 (88.7%) | 57 (11.7%) |
| 35 to 44 Years | 1,293 (94.9%) | 61 (4.7%) |
| 45 to 54 Years | 1,324 (88.7%) | 33 (2.5%) |
| 55 to 59 Years | 556 (90.8%) | 0 (0.0%) |
| 60 to 64 Years | 380 (56.0%) | 6 (1.6%) |
| 65 to 74 Years | 300 (21.4%) | 0 (0.0%) |
| 75 Years and over | 76 (7.8%) | 9 (11.8%) |
| Total | 6,414 (61.6%) | 263 (4.1%) |
Employment Status by Educational Attainment in Zip Code 17003
According to labor force statistics for Zip Code 17003, 86.6% of individuals (4,477) out of the total population between 25 and 64 years of age (5,170) are in the labor force, with 4.2% or 188 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 92.2% or 1,810 individuals in the labor force. Within the labor force, individuals with college / associate degree education have the highest percentage of unemployment, with 7.5% or 62 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 154 (63.1%) | 0 (0.0%) |
| High School Diploma | 1,685 (85.6%) | 71 (3.6%) |
| College / Associate Degree | 828 (83.3%) | 75 (7.5%) |
| Bachelor's Degree or higher | 1,810 (92.2%) | 71 (3.6%) |
| Total | 4,477 (86.6%) | 217 (4.2%) |
Employment Occupations by Sex in Zip Code 17003
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 17003 are Management (668 | 10.9%), Community & Social Service (665 | 10.9%), Health Diagnosing & Treating (401 | 6.6%), Education Instruction & Library (393 | 6.4%), and Health Technologists (291 | 4.8%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 17003, the most male-oriented occupations are Architecture & Engineering (100.0%), Life, Physical & Social Science (85.0%), and Computers, Engineering & Science (74.9%), while the most female-oriented occupations are Legal Services & Support (92.4%), Education Instruction & Library (75.8%), and Health Technologists (73.9%).
| Occupation | Male | Female |
| Management | 454 (68.0%) | 214 (32.0%) |
| Business & Financial | 126 (46.8%) | 143 (53.2%) |
| Computers, Engineering & Science | 146 (74.9%) | 49 (25.1%) |
| Computers & Mathematics | 82 (65.6%) | 43 (34.4%) |
| Architecture & Engineering | 30 (100.0%) | 0 (0.0%) |
| Life, Physical & Social Science | 34 (85.0%) | 6 (15.0%) |
| Community & Social Service | 189 (28.4%) | 476 (71.6%) |
| Education, Arts & Media | 38 (35.5%) | 69 (64.5%) |
| Legal Services & Support | 6 (7.6%) | 73 (92.4%) |
| Education Instruction & Library | 95 (24.2%) | 298 (75.8%) |
| Arts, Media & Entertainment | 50 (58.1%) | 36 (41.9%) |
| Health Diagnosing & Treating | 120 (29.9%) | 281 (70.1%) |
| Health Technologists | 76 (26.1%) | 215 (73.9%) |
| Total (Category) | 1,035 (47.1%) | 1,163 (52.9%) |
| Total (Overall) | 3,299 (54.0%) | 2,811 (46.0%) |
Services Occupations
The most common Services occupations in Zip Code 17003 are Food Preparation & Serving (344 | 5.6%), Personal Care & Service (278 | 4.5%), Healthcare Support (263 | 4.3%), Cleaning & Maintenance (255 | 4.2%), and Security & Protection (188 | 3.1%).
Services Occupations by Sex
Within the Services occupations in Zip Code 17003, the most male-oriented occupations are Law Enforcement (100.0%), Security & Protection (92.0%), and Firefighting & Prevention (89.9%), while the most female-oriented occupations are Healthcare Support (88.6%), Personal Care & Service (87.8%), and Food Preparation & Serving (56.1%).
| Occupation | Male | Female |
| Healthcare Support | 30 (11.4%) | 233 (88.6%) |
| Security & Protection | 173 (92.0%) | 15 (8.0%) |
| Firefighting & Prevention | 134 (89.9%) | 15 (10.1%) |
| Law Enforcement | 39 (100.0%) | 0 (0.0%) |
| Food Preparation & Serving | 151 (43.9%) | 193 (56.1%) |
| Cleaning & Maintenance | 176 (69.0%) | 79 (31.0%) |
| Personal Care & Service | 34 (12.2%) | 244 (87.8%) |
| Total (Category) | 564 (42.5%) | 764 (57.5%) |
| Total (Overall) | 3,299 (54.0%) | 2,811 (46.0%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 17003 are Sales & Related (689 | 11.3%), and Office & Administration (478 | 7.8%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 408 (59.2%) | 281 (40.8%) |
| Office & Administration | 121 (25.3%) | 357 (74.7%) |
| Total (Category) | 529 (45.3%) | 638 (54.7%) |
| Total (Overall) | 3,299 (54.0%) | 2,811 (46.0%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 17003 are Construction & Extraction (238 | 3.9%), Installation, Maintenance & Repair (151 | 2.5%), and Farming, Fishing & Forestry (19 | 0.3%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 15 (78.9%) | 4 (21.0%) |
| Construction & Extraction | 234 (98.3%) | 4 (1.7%) |
| Installation, Maintenance & Repair | 151 (100.0%) | 0 (0.0%) |
| Total (Category) | 400 (98.0%) | 8 (2.0%) |
| Total (Overall) | 3,299 (54.0%) | 2,811 (46.0%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 17003 are Material Moving (412 | 6.7%), Production (309 | 5.1%), and Transportation (288 | 4.7%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 173 (56.0%) | 136 (44.0%) |
| Transportation | 248 (86.1%) | 40 (13.9%) |
| Material Moving | 350 (85.0%) | 62 (15.0%) |
| Total (Category) | 771 (76.4%) | 238 (23.6%) |
| Total (Overall) | 3,299 (54.0%) | 2,811 (46.0%) |
Employment Industries by Sex in Zip Code 17003
Employment Industries in Zip Code 17003
The major employment industries in Zip Code 17003 include Health Care & Social Assistance (950 | 15.5%), Educational Services (753 | 12.3%), Manufacturing (713 | 11.7%), Retail Trade (660 | 10.8%), and Accommodation & Food Services (414 | 6.8%).
Employment Industries by Sex in Zip Code 17003
The Zip Code 17003 industries that see more men than women are Construction (92.8%), Agriculture, Fishing & Hunting (77.7%), and Manufacturing (75.7%), whereas the industries that tend to have a higher number of women are Utilities (100.0%), Health Care & Social Assistance (79.5%), and Finance & Insurance (71.3%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 87 (77.7%) | 25 (22.3%) |
| Mining, Quarrying, & Extraction | 0 (0.0%) | 0 (0.0%) |
| Construction | 311 (92.8%) | 24 (7.2%) |
| Manufacturing | 540 (75.7%) | 173 (24.3%) |
| Wholesale Trade | 133 (65.5%) | 70 (34.5%) |
| Retail Trade | 466 (70.6%) | 194 (29.4%) |
| Transportation & Warehousing | 221 (74.4%) | 76 (25.6%) |
| Utilities | 0 (0.0%) | 13 (100.0%) |
| Information | 95 (46.1%) | 111 (53.9%) |
| Finance & Insurance | 45 (28.7%) | 112 (71.3%) |
| Real Estate, Rental & Leasing | 26 (48.1%) | 28 (51.8%) |
| Professional & Scientific | 74 (34.6%) | 140 (65.4%) |
| Enterprise Management | 13 (68.4%) | 6 (31.6%) |
| Administrative & Support | 159 (69.4%) | 70 (30.6%) |
| Educational Services | 336 (44.6%) | 417 (55.4%) |
| Health Care & Social Assistance | 195 (20.5%) | 755 (79.5%) |
| Arts, Entertainment & Recreation | 101 (47.6%) | 111 (52.4%) |
| Accommodation & Food Services | 185 (44.7%) | 229 (55.3%) |
| Public Administration | 141 (68.8%) | 64 (31.2%) |
| Total | 3,299 (54.0%) | 2,811 (46.0%) |
Education in Zip Code 17003
School Enrollment in Zip Code 17003
The most common levels of schooling among the 3,822 students in Zip Code 17003 are college / undergraduate (1,921 | 50.3%), middle school (563 | 14.7%), and elementary school (477 | 12.5%).
| School Level | # Students | % Students |
| Nursery / Preschool | 127 | 3.3% |
| Kindergarten | 174 | 4.5% |
| Elementary School | 477 | 12.5% |
| Middle School | 563 | 14.7% |
| High School | 475 | 12.4% |
| College / Undergraduate | 1,921 | 50.3% |
| Graduate / Professional | 85 | 2.2% |
| Total | 3,822 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 17003
Out of a total of 3,822 students who are enrolled in schools in Zip Code 17003, 1,919 (50.2%) attend a private institution, while the remaining 1,903 (49.8%) 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 837 (80.5% 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 296 (97.7% in the age bracket) attending a public institution.
| Age Bracket | Public School | Private School |
| 3 to 4 Year Olds | 45 (46.4%) | 52 (53.6%) |
| 5 to 9 Year Old | 561 (86.4%) | 88 (13.6%) |
| 10 to 14 Year Olds | 527 (86.4%) | 83 (13.6%) |
| 15 to 17 Year Olds | 296 (97.7%) | 7 (2.3%) |
| 18 to 19 Year Olds | 192 (20.4%) | 747 (79.5%) |
| 20 to 24 Year Olds | 203 (19.5%) | 837 (80.5%) |
| 25 to 34 Year Olds | 29 (61.7%) | 18 (38.3%) |
| 35 Years and over | 51 (37.2%) | 86 (62.8%) |
| Total | 1,903 (49.8%) | 1,919 (50.2%) |
Educational Attainment by Field of Study in Zip Code 17003
Education (452 | 17.8%), business (446 | 17.6%), science & technology (264 | 10.4%), arts & humanities (212 | 8.4%), and literature & languages (190 | 7.5%) are the most common fields of study among 2,532 individuals in Zip Code 17003 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 43 | 1.7% |
| Bio, Nature & Agricultural | 152 | 6.0% |
| Physical & Health Sciences | 37 | 1.5% |
| Psychology | 139 | 5.5% |
| Social Sciences | 151 | 6.0% |
| Engineering | 74 | 2.9% |
| Multidisciplinary Studies | 6 | 0.2% |
| Science & Technology | 264 | 10.4% |
| Business | 446 | 17.6% |
| Education | 452 | 17.8% |
| Literature & Languages | 190 | 7.5% |
| Liberal Arts & History | 74 | 2.9% |
| Visual & Performing Arts | 164 | 6.5% |
| Communications | 128 | 5.1% |
| Arts & Humanities | 212 | 8.4% |
| Total | 2,532 | 100.0% |
Transportation & Commute in Zip Code 17003
Vehicle Availability by Sex in Zip Code 17003
The most prevalent vehicle ownership categories in Zip Code 17003 are males with 2 vehicles (1,372, accounting for 46.2%) and females with 2 vehicles (1,187, making up 55.5%).
| Vehicles Available | Male | Female |
| No Vehicle | 25 (0.8%) | 18 (0.7%) |
| 1 Vehicle | 376 (12.7%) | 361 (14.6%) |
| 2 Vehicles | 1,372 (46.2%) | 1,187 (48.0%) |
| 3 Vehicles | 575 (19.4%) | 455 (18.4%) |
| 4 Vehicles | 273 (9.2%) | 325 (13.2%) |
| 5 or more Vehicles | 346 (11.7%) | 125 (5.1%) |
| Total | 2,967 (100.0%) | 2,471 (100.0%) |
Commute Time in Zip Code 17003
The most frequently occuring commute durations in Zip Code 17003 are 15 to 19 minutes (924 commuters, 16.7%), 5 to 9 minutes (781 commuters, 14.1%), and 20 to 24 minutes (773 commuters, 14.0%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 300 | 5.4% |
| 5 to 9 Minutes | 781 | 14.1% |
| 10 to 14 Minutes | 694 | 12.5% |
| 15 to 19 Minutes | 924 | 16.7% |
| 20 to 24 Minutes | 773 | 14.0% |
| 25 to 29 Minutes | 310 | 5.6% |
| 30 to 34 Minutes | 590 | 10.7% |
| 35 to 39 Minutes | 155 | 2.8% |
| 40 to 44 Minutes | 455 | 8.2% |
| 45 to 59 Minutes | 411 | 7.4% |
| 60 to 89 Minutes | 112 | 2.0% |
| 90 or more Minutes | 29 | 0.5% |
Commute Time by Sex in Zip Code 17003
The most common commute times in Zip Code 17003 are 15 to 19 minutes (561 commuters, 18.1%) for males and 20 to 24 minutes (432 commuters, 17.7%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 195 (6.3%) | 105 (4.3%) |
| 5 to 9 Minutes | 471 (15.2%) | 310 (12.7%) |
| 10 to 14 Minutes | 406 (13.1%) | 288 (11.8%) |
| 15 to 19 Minutes | 561 (18.1%) | 363 (14.9%) |
| 20 to 24 Minutes | 341 (11.0%) | 432 (17.7%) |
| 25 to 29 Minutes | 158 (5.1%) | 152 (6.2%) |
| 30 to 34 Minutes | 345 (11.1%) | 245 (10.1%) |
| 35 to 39 Minutes | 57 (1.8%) | 98 (4.0%) |
| 40 to 44 Minutes | 226 (7.3%) | 229 (9.4%) |
| 45 to 59 Minutes | 233 (7.5%) | 178 (7.3%) |
| 60 to 89 Minutes | 79 (2.5%) | 33 (1.3%) |
| 90 or more Minutes | 24 (0.8%) | 5 (0.2%) |
Time of Departure to Work by Sex in Zip Code 17003
The most frequent times of departure to work in Zip Code 17003 are 8:00 AM to 8:29 AM (409, 13.2%) for males and 7:00 AM to 7:29 AM (276, 11.3%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 171 (5.5%) | 96 (3.9%) |
| 5:00 AM to 5:29 AM | 157 (5.1%) | 79 (3.2%) |
| 5:30 AM to 5:59 AM | 314 (10.1%) | 136 (5.6%) |
| 6:00 AM to 6:29 AM | 369 (11.9%) | 273 (11.2%) |
| 6:30 AM to 6:59 AM | 339 (11.0%) | 259 (10.6%) |
| 7:00 AM to 7:29 AM | 396 (12.8%) | 276 (11.3%) |
| 7:30 AM to 7:59 AM | 224 (7.2%) | 210 (8.6%) |
| 8:00 AM to 8:29 AM | 409 (13.2%) | 221 (9.1%) |
| 8:30 AM to 8:59 AM | 98 (3.2%) | 227 (9.3%) |
| 9:00 AM to 9:59 AM | 86 (2.8%) | 197 (8.1%) |
| 10:00 AM to 10:59 AM | 89 (2.9%) | 41 (1.7%) |
| 11:00 AM to 11:59 AM | 13 (0.4%) | 103 (4.2%) |
| 12:00 PM to 3:59 PM | 304 (9.8%) | 172 (7.0%) |
| 4:00 PM to 11:59 PM | 127 (4.1%) | 148 (6.1%) |
| Total | 3,096 (100.0%) | 2,438 (100.0%) |
Housing Occupancy in Zip Code 17003
Occupancy by Ownership in Zip Code 17003
Of the total 4,231 dwellings in Zip Code 17003, owner-occupied units account for 3,341 (79.0%), while renter-occupied units make up 890 (21.0%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 3,341 | 79.0% |
| Renter-Occupied Housing Units | 890 | 21.0% |
| Total Occupied Housing Units | 4,231 | 100.0% |
Occupancy by Household Size in Zip Code 17003
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 1,025 | 24.2% |
| 2-Person Household | 1,661 | 39.3% |
| 3-Person Household | 557 | 13.2% |
| 4+ Person Household | 988 | 23.4% |
| Total Housing Units | 4,231 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 17003
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 574 (56.0%) | 451 (44.0%) |
| 2-Person Household | 1,381 (83.1%) | 280 (16.9%) |
| 3-Person Household | 495 (88.9%) | 62 (11.1%) |
| 4+ Person Household | 891 (90.2%) | 97 (9.8%) |
| Total Housing Units | 3,341 (79.0%) | 890 (21.0%) |
Occupancy by Educational Attainment in Zip Code 17003
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 182 (83.9%) | 35 (16.1%) |
| High School Diploma | 1,283 (78.9%) | 342 (21.0%) |
| College/Associate Degree | 641 (71.1%) | 261 (28.9%) |
| Bachelor's Degree or higher | 1,235 (83.1%) | 252 (17.0%) |
Occupancy by Age of Householder in Zip Code 17003
| Age Bracket | # Households | % Households |
| Under 35 Years | 617 | 14.6% |
| 35 to 44 Years | 710 | 16.8% |
| 45 to 54 Years | 745 | 17.6% |
| 55 to 64 Years | 625 | 14.8% |
| 65 to 74 Years | 987 | 23.3% |
| 75 to 84 Years | 412 | 9.7% |
| 85 Years and Over | 135 | 3.2% |
| Total | 4,231 | 100.0% |
Housing Finances in Zip Code 17003
Median Income by Occupancy in Zip Code 17003
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 3,341 (79.0%) | $94,662 |
| Renter-Occupied | 890 (21.0%) | $43,768 |
| Average | 4,231 (100.0%) | $83,406 |
Occupancy by Householder Income Bracket in Zip Code 17003
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 36 (1.1%) | 43 (4.8%) |
| $5,000 to $9,999 | 13 (0.4%) | 35 (3.9%) |
| $10,000 to $14,999 | 27 (0.8%) | 9 (1.0%) |
| $15,000 to $19,999 | 53 (1.6%) | 25 (2.8%) |
| $20,000 to $24,999 | 146 (4.4%) | 84 (9.4%) |
| $25,000 to $34,999 | 209 (6.3%) | 121 (13.6%) |
| $35,000 to $49,999 | 188 (5.6%) | 205 (23.0%) |
| $50,000 to $74,999 | 578 (17.3%) | 118 (13.3%) |
| $75,000 to $99,999 | 504 (15.1%) | 122 (13.7%) |
| $100,000 to $149,999 | 899 (26.9%) | 82 (9.2%) |
| $150,000 or more | 688 (20.6%) | 46 (5.2%) |
| Total | 3,341 (100.0%) | 890 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 17003
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 94 (2.8%) | 0 (0.0%) |
| $300 to $499 | 304 (9.1%) | 0 (0.0%) |
| $500 to $799 | 652 (19.5%) | 186 (20.9%) |
| $800 to $999 | 254 (7.6%) | 276 (31.0%) |
| $1,000 to $1,499 | 808 (24.2%) | 193 (21.7%) |
| $1,500 to $1,999 | 626 (18.7%) | 80 (9.0%) |
| $2,000 to $2,499 | 376 (11.3%) | 12 (1.3%) |
| $2,500 to $2,999 | 76 (2.3%) | 51 (5.7%) |
| $3,000 or more | 151 (4.5%) | 0 (0.0%) |
| Total | 3,341 (100.0%) | 890 (100.0%) |
Physical Housing Characteristics in Zip Code 17003
Housing Structures in Zip Code 17003
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 2,763 | 65.3% |
| Single Unit, Attached | 638 | 15.1% |
| 2 Unit Apartments | 89 | 2.1% |
| 3 or 4 Unit Apartments | 143 | 3.4% |
| 5 to 9 Unit Apartments | 127 | 3.0% |
| 10 or more Apartments | 185 | 4.4% |
| Mobile Home / Other | 286 | 6.8% |
| Total | 4,231 | 100.0% |
Housing Structures by Occupancy in Zip Code 17003
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 2,591 (93.8%) | 172 (6.2%) |
| Single Unit, Attached | 503 (78.8%) | 135 (21.2%) |
| 2 Unit Apartments | 0 (0.0%) | 89 (100.0%) |
| 3 or 4 Unit Apartments | 7 (4.9%) | 136 (95.1%) |
| 5 to 9 Unit Apartments | 0 (0.0%) | 127 (100.0%) |
| 10 or more Apartments | 0 (0.0%) | 185 (100.0%) |
| Mobile Home / Other | 240 (83.9%) | 46 (16.1%) |
| Total | 3,341 (79.0%) | 890 (21.0%) |
Housing Structures by Number of Rooms in Zip Code 17003
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 0 (0.0%) | 71 (8.0%) |
| 2 or 3 Rooms | 51 (1.5%) | 344 (38.7%) |
| 4 or 5 Rooms | 830 (24.8%) | 214 (24.0%) |
| 6 or 7 Rooms | 1,125 (33.7%) | 136 (15.3%) |
| 8 or more Rooms | 1,335 (40.0%) | 125 (14.0%) |
| Total | 3,341 (100.0%) | 890 (100.0%) |
Housing Structure by Heating Type in Zip Code 17003
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 864 (25.9%) | 235 (26.4%) |
| Bottled, Tank, or LP Gas | 242 (7.2%) | 28 (3.2%) |
| Electricity | 520 (15.6%) | 327 (36.7%) |
| Fuel Oil or Kerosene | 1,482 (44.4%) | 262 (29.4%) |
| Coal or Coke | 13 (0.4%) | 0 (0.0%) |
| All other Fuels | 166 (5.0%) | 27 (3.0%) |
| No Fuel Used | 54 (1.6%) | 11 (1.2%) |
| Total | 3,341 (100.0%) | 890 (100.0%) |
Household Vehicle Usage in Zip Code 17003
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 71 (2.1%) | 64 (7.2%) |
| 1 Vehicle | 797 (23.9%) | 438 (49.2%) |
| 2 Vehicles | 1,605 (48.0%) | 277 (31.1%) |
| 3 or more Vehicles | 868 (26.0%) | 111 (12.5%) |
| Total | 3,341 (100.0%) | 890 (100.0%) |
Real Estate & Mortgages in Zip Code 17003
Real Estate and Mortgage Overview in Zip Code 17003
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 1,241 | 2,100 |
| Median Property Value | $228,900 | $233,900 |
| Median Household Income | $71,458 | $541 |
| Monthly Housing Costs | $617 | $151 |
| Real Estate Taxes | $3,283 | $17 |
Property Value by Mortgage Status in Zip Code 17003
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 146 (11.8%) | 54 (2.6%) |
| $50,000 to $99,999 | 75 (6.0%) | 17 (0.8%) |
| $100,000 to $299,999 | 698 (56.2%) | 1,312 (62.5%) |
| $300,000 to $499,999 | 262 (21.1%) | 612 (29.1%) |
| $500,000 to $749,999 | 34 (2.7%) | 60 (2.9%) |
| $750,000 to $999,999 | 22 (1.8%) | 28 (1.3%) |
| $1,000,000 or more | 4 (0.3%) | 17 (0.8%) |
| Total | 1,241 (100.0%) | 2,100 (100.0%) |
Household Income by Mortgage Status in Zip Code 17003
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 32 (2.6%) | 80 (3.8%) |
| $10,000 to $24,999 | 115 (9.3%) | 17 (0.8%) |
| $25,000 to $34,999 | 157 (12.7%) | 111 (5.3%) |
| $35,000 to $49,999 | 116 (9.3%) | 52 (2.5%) |
| $50,000 to $74,999 | 232 (18.7%) | 72 (3.4%) |
| $75,000 to $99,999 | 247 (19.9%) | 346 (16.5%) |
| $100,000 to $149,999 | 195 (15.7%) | 257 (12.2%) |
| $150,000 or more | 147 (11.8%) | 704 (33.5%) |
| Total | 1,241 (100.0%) | 2,100 (100.0%) |
Property Value to Household Income Ratio in Zip Code 17003
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 393 (31.7%) | 115,089 (5,480.4%) |
| 2.0x to 2.9x | 263 (21.2%) | 911 (43.4%) |
| 3.0x to 3.9x | 177 (14.3%) | 577 (27.5%) |
| 4.0x or more | 404 (32.6%) | 213 (10.1%) |
| Total | 1,241 (100.0%) | 2,100 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 17003
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 155 (12.5%) | 6 (0.3%) |
| $800 to $1,499 | 111 (8.9%) | 94 (4.5%) |
| $800 to $1,499 | 956 (77.0%) | 111 (5.3%) |
| Total | 1,241 (100.0%) | 2,100 (100.0%) |
Health & Disability in Zip Code 17003
Health Insurance Coverage by Age in Zip Code 17003
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 568 (92.5%) | 46 (7.5%) |
| 6 to 18 Years | 1,743 (90.4%) | 186 (9.6%) |
| 19 to 25 Years | 2,194 (95.9%) | 94 (4.1%) |
| 26 to 34 Years | 850 (93.5%) | 59 (6.5%) |
| 35 to 44 Years | 1,201 (89.8%) | 137 (10.2%) |
| 45 to 54 Years | 1,379 (94.0%) | 88 (6.0%) |
| 55 to 64 Years | 1,237 (95.9%) | 53 (4.1%) |
| 65 to 74 Years | 1,391 (99.5%) | 7 (0.5%) |
| 75 Years and older | 892 (99.3%) | 6 (0.7%) |
| Total | 11,455 (94.4%) | 676 (5.6%) |
Health Insurance Coverage by Citizenship Status in Zip Code 17003
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 568 (92.5%) | 46 (7.5%) |
| Foreign Born, Citizen | 1,743 (90.4%) | 186 (9.6%) |
| Foreign Born, not a Citizen | 2,194 (95.9%) | 94 (4.1%) |
Health Insurance Coverage by Household Income in Zip Code 17003
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 705 (89.7%) | 81 (10.3%) |
| $25,000 to $49,999 | 1,119 (92.9%) | 86 (7.1%) |
| $50,000 to $74,999 | 1,427 (89.2%) | 172 (10.8%) |
| $75,000 to $99,999 | 1,558 (94.5%) | 90 (5.5%) |
| $100,000 and over | 5,158 (96.0%) | 217 (4.0%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 17003
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 107 (17.4%) | 461 (75.1%) |
| 6 to 18 Years | 221 (11.5%) | 1,584 (82.1%) |
| 19 to 25 Years | 216 (9.4%) | 2,058 (89.9%) |
| 25 to 34 Years | 197 (21.7%) | 696 (76.6%) |
| 35 to 44 Years | 47 (3.5%) | 1,170 (87.4%) |
| 45 to 54 Years | 53 (3.6%) | 1,359 (92.6%) |
| 55 to 64 Years | 206 (16.0%) | 1,126 (87.3%) |
| 65 to 74 Years | 1,356 (97.0%) | 1,019 (72.9%) |
| 75 Years and over | 886 (98.7%) | 535 (59.6%) |
| Total | 3,289 (27.1%) | 10,008 (82.5%) |
Disability Status by Sex by Age in Zip Code 17003
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 30 (3.8%) | 29 (3.3%) |
| 18 to 34 Years | 163 (8.6%) | 172 (9.8%) |
| 35 to 64 Years | 79 (3.8%) | 183 (9.0%) |
| 65 to 74 Years | 249 (32.7%) | 72 (11.3%) |
| 75 Years and over | 168 (49.3%) | 209 (37.5%) |
Disability Class by Sex by Age in Zip Code 17003
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 15 (1.9%) | 14 (1.6%) |
| 18 to 34 Years | 6 (0.3%) | 27 (1.5%) |
| 35 to 64 Years | 13 (0.6%) | 38 (1.9%) |
| 65 to 74 Years | 207 (27.2%) | 15 (2.4%) |
| 75 Years and over | 95 (27.9%) | 35 (6.3%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 15 (1.9%) | 10 (1.1%) |
| 18 to 34 Years | 41 (2.2%) | 45 (2.6%) |
| 35 to 64 Years | 0 (0.0%) | 32 (1.6%) |
| 65 to 74 Years | 163 (21.4%) | 6 (0.9%) |
| 75 Years and over | 66 (19.4%) | 29 (5.2%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 30 (3.8%) | 5 (0.6%) |
| 18 to 34 Years | 122 (6.4%) | 109 (6.2%) |
| 35 to 64 Years | 10 (0.5%) | 60 (2.9%) |
| 65 to 74 Years | 10 (1.3%) | 4 (0.6%) |
| 75 Years and over | 65 (19.1%) | 29 (5.2%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 15 (1.9%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 1 (0.1%) |
| 35 to 64 Years | 51 (2.5%) | 80 (3.9%) |
| 65 to 74 Years | 30 (3.9%) | 57 (8.9%) |
| 75 Years and over | 112 (32.8%) | 148 (26.6%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 15 (1.9%) | 5 (0.6%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 3 (0.2%) | 51 (2.5%) |
| 65 to 74 Years | 7 (0.9%) | 3 (0.5%) |
| 75 Years and over | 66 (19.4%) | 81 (14.5%) |
Technology Access in Zip Code 17003
Computing Device Access in Zip Code 17003
| Device Type | # Households | % Households |
| Desktop or Laptop | 3,274 | 77.4% |
| Smartphone | 3,567 | 84.3% |
| Tablet | 2,834 | 67.0% |
| No Computing Device | 331 | 7.8% |
| Total | 4,231 | 100.0% |
Internet Access in Zip Code 17003
| Internet Type | # Households | % Households |
| Dial-Up Internet | 3 | 0.1% |
| Broadband Home | 3,000 | 70.9% |
| Cellular Data Only | 434 | 10.3% |
| Satellite Internet | 180 | 4.3% |
| No Internet | 649 | 15.3% |
| Total | 4,231 | 100.0% |
Common Questions
What is the Total Population of Zip Code 17003?
Total Population of Zip Code 17003 is 12,260.
What is the Total Male Population of Zip Code 17003?
Total Male Population of Zip Code 17003 is 6,188.
What is the Total Female Population of Zip Code 17003?
Total Female Population of Zip Code 17003 is 6,072.
What is the Ratio of Males per 100 Females in Zip Code 17003?
There are 101.91 Males per 100 Females in Zip Code 17003.
What is the Ratio of Females per 100 Males in Zip Code 17003?
There are 98.13 Females per 100 Males in Zip Code 17003.
What is the Median Population Age in Zip Code 17003?
Median Population Age in Zip Code 17003 is 37.5 Years.
What is the Average Family Size in Zip Code 17003
Average Family Size in Zip Code 17003 is 3.0 People.
What is the Average Household Size in Zip Code 17003
Average Household Size in Zip Code 17003 is 2.5 People.
What is Per Capita Income in Zip Code 17003?
Per Capita income in Zip Code 17003 is $34,307.
What is the Median Family Income in Zip Code 17003?
Median Family Income in Zip Code 17003 is $104,767.
What is the Median Household income in Zip Code 17003?
Median Household Income in Zip Code 17003 is $83,406.
What is Income or Wage Gap in Zip Code 17003?
Income or Wage Gap in Zip Code 17003 is 36.0%.
Women in Zip Code 17003 earn 64.0 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 17003?
Inequality or Gini Index in Zip Code 17003 is 0.39.
How Large is the Labor Force in Zip Code 17003?
There are 6,414 People in the Labor Forcein in Zip Code 17003.
What is the Percentage of People in the Labor Force in Zip Code 17003?
61.6% of People are in the Labor Force in Zip Code 17003.
What is the Unemployment Rate in Zip Code 17003?
Unemployment Rate in Zip Code 17003 is 4.1%.