Zip Code 17747
Zip Code 17747 Map
Zip Code 17747 Overview
3,412
TOTAL POPULATION
1,690
MALE POPULATION
1,722
FEMALE POPULATION
98.14
MALES / 100 FEMALES
101.89
FEMALES / 100 MALES
30.3
MEDIAN AGE
3.7
AVG FAMILY SIZE
3.2
AVG HOUSEHOLD SIZE
$28,278
PER CAPITA INCOME
$84,479
AVG FAMILY INCOME
$70,762
AVG HOUSEHOLD INCOME
29.6%
WAGE / INCOME GAP [ % ]
70.4¢/ $1
WAGE / INCOME GAP [ $ ]
0.41
INEQUALITY / GINI INDEX
1,460
LABOR FORCE [ PEOPLE ]
62.0%
PERCENT IN LABOR FORCE
2.7%
UNEMPLOYMENT RATE
Zip Code 17747 Area Codes
Race in Zip Code 17747
The most populous races in Zip Code 17747 are White / Caucasian (3,259 | 95.5%), Two or more Races (66 | 1.9%), and Hispanic or Latino (55 | 1.6%).
| Race | # Population | % Population |
| Asian | 36 | 1.1% |
| Black / African American | 15 | 0.4% |
| Hawaiian / Pacific | 0 | 0.0% |
| Hispanic or Latino | 55 | 1.6% |
| Native / Alaskan | 0 | 0.0% |
| White / Caucasian | 3,259 | 95.5% |
| Two or more Races | 66 | 1.9% |
| Some other Race | 36 | 1.1% |
| Total | 3,412 | 100.0% |
Ancestry in Zip Code 17747
The most populous ancestries reported in Zip Code 17747 are German (1,121 | 32.9%), Pennsylvania German (338 | 9.9%), American (267 | 7.8%), Dutch (237 | 7.0%), and English (187 | 5.5%), together accounting for 63.0% of all Zip Code 17747 residents.
| Ancestry | # Population | % Population |
| American | 267 | 7.8% |
| Bhutanese | 24 | 0.7% |
| Burmese | 40 | 1.2% |
| Central American | 32 | 0.9% |
| Cuban | 3 | 0.1% |
| Czechoslovakian | 15 | 0.4% |
| Dutch | 237 | 7.0% |
| English | 187 | 5.5% |
| European | 12 | 0.4% |
| French | 28 | 0.8% |
| French Canadian | 6 | 0.2% |
| German | 1,121 | 32.9% |
| Greek | 5 | 0.2% |
| Honduran | 32 | 0.9% |
| Hungarian | 8 | 0.2% |
| Indian (Asian) | 4 | 0.1% |
| Irish | 127 | 3.7% |
| Italian | 78 | 2.3% |
| Korean | 1 | 0.0% |
| Lithuanian | 4 | 0.1% |
| Mexican | 14 | 0.4% |
| Norwegian | 6 | 0.2% |
| Pennsylvania German | 338 | 9.9% |
| Polish | 28 | 0.8% |
| Portuguese | 4 | 0.1% |
| Russian | 3 | 0.1% |
| Scotch-Irish | 9 | 0.3% |
| Scottish | 16 | 0.5% |
| Slovak | 2 | 0.1% |
| Swedish | 7 | 0.2% |
| Welsh | 13 | 0.4% | View All 31 Rows |
Immigrants in Zip Code 17747
The most numerous immigrant groups reported in Zip Code 17747 came from Asia (20 | 0.6%), Central America (17 | 0.5%), Honduras (17 | 0.5%), Latin America (17 | 0.5%), and Eastern Asia (16 | 0.5%), together accounting for 2.6% of all Zip Code 17747 residents.
| Immigration Origin | # Population | % Population |
| Asia | 20 | 0.6% |
| Azores | 4 | 0.1% |
| Central America | 17 | 0.5% |
| Eastern Asia | 16 | 0.5% |
| Europe | 6 | 0.2% |
| Honduras | 17 | 0.5% |
| Indonesia | 4 | 0.1% |
| Japan | 2 | 0.1% |
| Korea | 14 | 0.4% |
| Latin America | 17 | 0.5% |
| Northern Europe | 2 | 0.1% |
| Portugal | 4 | 0.1% |
| South Eastern Asia | 4 | 0.1% |
| Southern Europe | 4 | 0.1% | View All 14 Rows |
Sex and Age in Zip Code 17747
Sex and Age in Zip Code 17747
The most populous age groups in Zip Code 17747 are 10 to 14 Years (226 | 13.4%) for men and 5 to 9 Years (223 | 13.0%) for women.
| Age Bracket | Male | Female |
| Under 5 Years | 129 (7.6%) | 131 (7.6%) |
| 5 to 9 Years | 139 (8.2%) | 223 (13.0%) |
| 10 to 14 Years | 226 (13.4%) | 150 (8.7%) |
| 15 to 19 Years | 131 (7.7%) | 176 (10.2%) |
| 20 to 24 Years | 132 (7.8%) | 134 (7.8%) |
| 25 to 29 Years | 74 (4.4%) | 54 (3.1%) |
| 30 to 34 Years | 65 (3.8%) | 56 (3.3%) |
| 35 to 39 Years | 48 (2.8%) | 94 (5.5%) |
| 40 to 44 Years | 126 (7.5%) | 119 (6.9%) |
| 45 to 49 Years | 67 (4.0%) | 91 (5.3%) |
| 50 to 54 Years | 95 (5.6%) | 75 (4.4%) |
| 55 to 59 Years | 82 (4.9%) | 76 (4.4%) |
| 60 to 64 Years | 142 (8.4%) | 136 (7.9%) |
| 65 to 69 Years | 83 (4.9%) | 70 (4.1%) |
| 70 to 74 Years | 61 (3.6%) | 66 (3.8%) |
| 75 to 79 Years | 43 (2.5%) | 25 (1.5%) |
| 80 to 84 Years | 23 (1.4%) | 23 (1.3%) |
| 85 Years and over | 24 (1.4%) | 23 (1.3%) |
| Total | 1,690 (100.0%) | 1,722 (100.0%) |
Families and Households in Zip Code 17747
Median Family Size in Zip Code 17747
The median family size in Zip Code 17747 is 3.73 persons per family, with married-couple families (747 | 88.8%) accounting for the largest median family size of 3.89 persons per family. On the other hand, single female/mother families (69 | 8.2%) represent the smallest median family size with 2.35 persons per family.
| Family Type | # Families | Family Size |
| Married-Couple | 747 (88.8%) | 3.89 |
| Single Male/Father | 25 (3.0%) | 2.76 |
| Single Female/Mother | 69 (8.2%) | 2.35 |
| Total Families | 841 (100.0%) | 3.73 |
Median Household Size in Zip Code 17747
The median household size in Zip Code 17747 is 3.25 persons per household, with married-couple households (747 | 71.1%) accounting for the largest median household size of 3.9 persons per household. non-family households (210 | 20.0%) represent the smallest median household size with 1.17 persons per household.
| Household Type | # Households | Household Size |
| Married-Couple | 747 (71.1%) | 3.90 |
| Single Male/Father | 25 (2.4%) | 2.84 |
| Single Female/Mother | 69 (6.6%) | 2.64 |
| Non-family | 210 (20.0%) | 1.17 |
| Total Households | 1,051 (100.0%) | 3.25 |
Household Size by Marriage Status in Zip Code 17747
Out of a total of 1,051 households in Zip Code 17747, 841 (80.0%) are family households, while 210 (20.0%) are nonfamily households. The most numerous type of family households are 2-person households, comprising 399, and the most common type of nonfamily households are 1-person households, comprising 172.
| Household Size | Family Households | Nonfamily Households |
| 1-Person Households | - | 172 (16.4%) |
| 2-Person Households | 399 (38.0%) | 38 (3.6%) |
| 3-Person Households | 170 (16.2%) | 0 (0.0%) |
| 4-Person Households | 114 (10.8%) | 0 (0.0%) |
| 5-Person Households | 35 (3.3%) | 0 (0.0%) |
| 6-Person Households | 37 (3.5%) | 0 (0.0%) |
| 7+ Person Households | 86 (8.2%) | 0 (0.0%) |
| Total | 841 (80.0%) | 210 (20.0%) |
Female Fertility in Zip Code 17747
Fertility by Age in Zip Code 17747
Average fertility rate in Zip Code 17747 is 112.0 births per 1,000 women. Women in the age bracket of 20 to 34 years have the highest fertility rate with 197.0 births per 1,000 women. Women in the age bracket of 20 to 34 years acount for 57.8% 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 | 48 (57.8%) | 197.0 |
| 35 to 50 years | 35 (42.2%) | 110.0 |
| Total | 83 (100.0%) | 112.0 |
Fertility by Age by Marriage Status in Zip Code 17747
86.7% of women with births (83) in Zip Code 17747 are married. The highest percentage of unmarried women with births falls into 20 to 34 years age bracket with 22.9% 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 | 37 (77.1%) | 11 (22.9%) |
| 35 to 50 years | 35 (100.0%) | 0 (0.0%) |
| Total | 72 (86.8%) | 11 (13.3%) |
Fertility by Education in Zip Code 17747
Average fertility rate in Zip Code 17747 is 112.0 births per 1,000 women. Women with the education attainment of graduate degree have the highest fertility rate of 296.0 births per 1,000 women, while women with the education attainment of bachelor's degree have the lowest fertility at 8.0 births per 1,000 women. Women with the education attainment of less than high school represent 55.4% of all women with births.
| Educational Attainment | Women with Births | Births / 1,000 Women |
| Less than High School | 46 (55.4%) | 126.0 |
| High School Diploma | 18 (21.7%) | 162.0 |
| College or Associate's Degree | 10 (12.0%) | 87.0 |
| Bachelor's Degree | 1 (1.2%) | 8.0 |
| Graduate Degree | 8 (9.6%) | 296.0 |
| Total | 83 (100.0%) | 112.0 |
Fertility by Education by Marriage Status in Zip Code 17747
13.3% of women with births in Zip Code 17747 are unmarried. Women with the educational attainment of less than high school are most likely to be married with 100.0% of them married at childbirth, while women with the educational attainment of high school diploma are least likely to be married with 44.4% of them unmarried at childbirth.
| Educational Attainment | Married | Unmarried |
| Less than High School | 46 (100.0%) | 0 (0.0%) |
| High School Diploma | 10 (55.6%) | 8 (44.4%) |
| College or Associate's Degree | 7 (70.0%) | 3 (30.0%) |
| Bachelor's Degree | 1 (100.0%) | 0 (0.0%) |
| Graduate Degree | 8 (100.0%) | 0 (0.0%) |
| Total | 72 (86.8%) | 11 (13.3%) |
Income in Zip Code 17747
Income Overview in Zip Code 17747
Per Capita Income in Zip Code 17747 is $28,278, while median incomes of families and households are $84,479 and $70,762 respectively.
| Characteristic | Number | Measure |
| Per Capita Income | 3,412 | $28,278 |
| Median Family Income | 841 | $84,479 |
| Mean Family Income | 841 | $100,667 |
| Median Household Income | 1,051 | $70,762 |
| Mean Household Income | 1,051 | $90,214 |
| Income Deficit | 841 | $0 |
| Wage / Income Gap (%) | 3,412 | 29.65% |
| Wage / Income Gap ($) | 3,412 | 70.35¢ per $1 |
| Gini / Inequality Index | 3,412 | 0.41 |
Earnings by Sex in Zip Code 17747
Average Earnings in Zip Code 17747 are $37,992, $45,121 for men and $31,744 for women, a difference of 29.6%.
| Sex | Number | Average Earnings |
| Male | 893 (57.5%) | $45,121 |
| Female | 660 (42.5%) | $31,744 |
| Total | 1,553 (100.0%) | $37,992 |
Earnings by Sex by Income Bracket in Zip Code 17747
The most common earnings brackets in Zip Code 17747 are $100,000+ for men (124 | 13.9%) and $75,000 to $99,999 for women (87 | 13.2%).
| Income | Male | Female |
| $2,499 or less | 16 (1.8%) | 36 (5.4%) |
| $2,500 to $4,999 | 26 (2.9%) | 60 (9.1%) |
| $5,000 to $7,499 | 21 (2.4%) | 35 (5.3%) |
| $7,500 to $9,999 | 14 (1.6%) | 16 (2.4%) |
| $10,000 to $12,499 | 13 (1.5%) | 49 (7.4%) |
| $12,500 to $14,999 | 3 (0.3%) | 13 (2.0%) |
| $15,000 to $17,499 | 10 (1.1%) | 21 (3.2%) |
| $17,500 to $19,999 | 38 (4.3%) | 13 (2.0%) |
| $20,000 to $22,499 | 14 (1.6%) | 13 (2.0%) |
| $22,500 to $24,999 | 28 (3.1%) | 9 (1.4%) |
| $25,000 to $29,999 | 86 (9.6%) | 35 (5.3%) |
| $30,000 to $34,999 | 63 (7.0%) | 70 (10.6%) |
| $35,000 to $39,999 | 85 (9.5%) | 69 (10.4%) |
| $40,000 to $44,999 | 28 (3.1%) | 12 (1.8%) |
| $45,000 to $49,999 | 48 (5.4%) | 32 (4.9%) |
| $50,000 to $54,999 | 45 (5.0%) | 16 (2.4%) |
| $55,000 to $64,999 | 97 (10.9%) | 43 (6.5%) |
| $65,000 to $74,999 | 48 (5.4%) | 13 (2.0%) |
| $75,000 to $99,999 | 86 (9.6%) | 87 (13.2%) |
| $100,000+ | 124 (13.9%) | 18 (2.7%) |
| Total | 893 (100.0%) | 660 (100.0%) |
Earnings by Sex by Educational Attainment in Zip Code 17747
Average earnings in Zip Code 17747 are $50,980 for men and $38,176 for women, a difference of 25.1%. Men with an educational attainment of graduate degree enjoy the highest average annual earnings of $85,833, while those with high school diploma education earn the least with $39,839. Women with an educational attainment of bachelor's degree earn the most with the average annual earnings of $66,875, while those with high school diploma education have the smallest earnings of $30,938.
| Educational Attainment | Male Income | Female Income |
| Less than High School | $50,750 | $38,125 |
| High School Diploma | $39,839 | $30,938 |
| College or Associate's Degree | $55,990 | $33,125 |
| Bachelor's Degree | $71,250 | $66,875 |
| Graduate Degree | $85,833 | $59,821 |
| Total | $50,980 | $38,176 |
Family Income in Zip Code 17747
Family Income Brackets in Zip Code 17747
According to the Zip Code 17747 family income data, there are 196 families falling into the $100,000 to $149,999 income range, which is the most common income bracket and makes up 23.3% of all families. Conversely, the $10,000 to $14,999 income bracket is the least frequent group with only 8 families (0.9%) belonging to this category.
| Income Bracket | # Families | % Families |
| Less than $10,000 | 38 | 4.5% |
| $10,000 to $14,999 | 8 | 1.0% |
| $15,000 to $24,999 | 19 | 2.3% |
| $25,000 to $34,999 | 72 | 8.6% |
| $35,000 to $49,999 | 78 | 9.3% |
| $50,000 to $74,999 | 164 | 19.5% |
| $75,000 to $99,999 | 98 | 11.7% |
| $100,000 to $149,999 | 196 | 23.3% |
| $150,000 to $199,999 | 109 | 13.0% |
| $200,000+ | 59 | 7.0% |
Family Income by Famaliy Size in Zip Code 17747
7+ person families (86 | 10.2%) account for the highest median family income in Zip Code 17747 with $172,500 per family, while 2-person families (424 | 50.4%) have the highest median income of $34,350 per family member.
| Income Bracket | # Families | Median Income |
| 2-Person Families | 424 (50.4%) | $68,700 |
| 3-Person Families | 151 (17.9%) | $102,083 |
| 4-Person Families | 108 (12.8%) | $111,250 |
| 5-Person Families | 35 (4.2%) | $106,806 |
| 6-Person Families | 37 (4.4%) | $104,250 |
| 7+ Person Families | 86 (10.2%) | $172,500 |
| Total | 841 (100.0%) | $84,479 |
Family Income by Number of Earners in Zip Code 17747
The median family income in Zip Code 17747 is $84,479, with families comprising 3+ earners (133) having the highest median family income of $157,679, while families with no earners (125) have the lowest median family income of $36,964, accounting for 15.8% and 14.9% of families, respectively.
| Number of Earners | # Families | Median Income |
| No Earners | 125 (14.9%) | $36,964 |
| 1 Earner | 225 (26.8%) | $51,313 |
| 2 Earners | 358 (42.6%) | $107,500 |
| 3+ Earners | 133 (15.8%) | $157,679 |
| Total | 841 (100.0%) | $84,479 |
Household Income in Zip Code 17747
Household Income Brackets in Zip Code 17747
With 234 households falling in the category, the $50,000 to $74,999 income range is the most frequent in Zip Code 17747, accounting for 22.3% of all households. In contrast, only 21 households (2.0%) fall into the $10,000 to $14,999 income bracket, making it the least populous group.
| Income Bracket | # Households | % Households |
| Less than $10,000 | 33 | 3.1% |
| $10,000 to $14,999 | 21 | 2.0% |
| $15,000 to $24,999 | 66 | 6.3% |
| $25,000 to $34,999 | 126 | 12.0% |
| $35,000 to $49,999 | 94 | 8.9% |
| $50,000 to $74,999 | 234 | 22.3% |
| $75,000 to $99,999 | 103 | 9.8% |
| $100,000 to $149,999 | 203 | 19.3% |
| $150,000 to $199,999 | 110 | 10.5% |
| $200,000+ | 61 | 5.8% |
Household Income by Householder Age in Zip Code 17747
The median household income in Zip Code 17747 is $70,762, with the highest median household income of $99,000 found in the 45 to 64 years age bracket for the primary householder. A total of 412 households (39.2%) fall into this category. Meanwhile, the 65+ years age bracket for the primary householder has the lowest median household income of $40,417, with 267 households (25.4%) in this group.
| Income Bracket | # Households | Median Income |
| 15 to 24 Years | 93 (8.8%) | $69,653 |
| 25 to 44 Years | 279 (26.6%) | $78,125 |
| 45 to 64 Years | 412 (39.2%) | $99,000 |
| 65+ Years | 267 (25.4%) | $40,417 |
| Total | 1,051 (100.0%) | $70,762 |
Poverty in Zip Code 17747
Income Below Poverty by Sex and Age in Zip Code 17747
With 9.5% poverty level for males and 11.6% for females among the residents of Zip Code 17747, 15 year old males and 5 year old females are the most vulnerable to poverty, with 8 males (40.0%) and 4 females (33.3%) in their respective age groups living below the poverty level.
| Age Bracket | Male | Female |
| Under 5 Years | 20 (15.5%) | 23 (17.6%) |
| 5 Years | 0 (0.0%) | 4 (33.3%) |
| 6 to 11 Years | 23 (12.5%) | 39 (15.1%) |
| 12 to 14 Years | 19 (13.9%) | 18 (17.6%) |
| 15 Years | 8 (40.0%) | 4 (10.3%) |
| 16 and 17 Years | 9 (18.8%) | 3 (3.6%) |
| 18 to 24 Years | 13 (6.7%) | 45 (23.9%) |
| 25 to 34 Years | 15 (10.8%) | 9 (8.2%) |
| 35 to 44 Years | 23 (13.2%) | 24 (11.3%) |
| 45 to 54 Years | 5 (3.1%) | 2 (1.2%) |
| 55 to 64 Years | 8 (3.6%) | 20 (9.4%) |
| 65 to 74 Years | 12 (8.3%) | 7 (5.1%) |
| 75 Years and over | 6 (6.7%) | 1 (1.4%) |
| Total | 161 (9.5%) | 199 (11.6%) |
Income Above Poverty by Sex and Age in Zip Code 17747
According to the poverty statistics in Zip Code 17747, males aged 5 years and females aged 45 to 54 years are the age groups that are most secure financially, with 100.0% of males and 98.8% of females in these age groups living above the poverty line.
| Age Bracket | Male | Female |
| Under 5 Years | 109 (84.5%) | 108 (82.4%) |
| 5 Years | 44 (100.0%) | 8 (66.7%) |
| 6 to 11 Years | 161 (87.5%) | 220 (84.9%) |
| 12 to 14 Years | 118 (86.1%) | 84 (82.4%) |
| 15 Years | 12 (60.0%) | 35 (89.7%) |
| 16 and 17 Years | 39 (81.2%) | 80 (96.4%) |
| 18 to 24 Years | 182 (93.3%) | 143 (76.1%) |
| 25 to 34 Years | 124 (89.2%) | 101 (91.8%) |
| 35 to 44 Years | 151 (86.8%) | 189 (88.7%) |
| 45 to 54 Years | 157 (96.9%) | 164 (98.8%) |
| 55 to 64 Years | 216 (96.4%) | 192 (90.6%) |
| 65 to 74 Years | 132 (91.7%) | 129 (94.9%) |
| 75 Years and over | 84 (93.3%) | 70 (98.6%) |
| Total | 1,529 (90.5%) | 1,523 (88.4%) |
Income Below Poverty Among Married-Couple Families in Zip Code 17747
The poverty statistics for married-couple families in Zip Code 17747 show that 6.6% or 49 of the total 747 families live below the poverty line. Families with 3 or 4 children have the highest poverty rate of 22.5%, comprising of 9 families. On the other hand, families with no children have the lowest poverty rate of 3.9%, which includes 17 families.
| Children | Above Poverty | Below Poverty |
| No Children | 416 (96.1%) | 17 (3.9%) |
| 1 or 2 Children | 180 (95.7%) | 8 (4.3%) |
| 3 or 4 Children | 31 (77.5%) | 9 (22.5%) |
| 5 or more Children | 71 (82.6%) | 15 (17.4%) |
| Total | 698 (93.4%) | 49 (6.6%) |
Income Below Poverty Among Single-Parent Households in Zip Code 17747
According to the poverty data in Zip Code 17747, 8.0% or 2 single-father households and 27.5% or 19 single-mother households are living below the poverty line. Among single-father households, those with 1 or 2 children have the highest poverty rate, with 2 households (22.2%) experiencing poverty. Likewise, among single-mother households, those with 1 or 2 children have the highest poverty rate, with 16 households (34.8%) falling below the poverty line.
| Children | Single Father | Single Mother |
| No Children | 0 (0.0%) | 3 (13.6%) |
| 1 or 2 Children | 2 (22.2%) | 16 (34.8%) |
| 3 or 4 Children | 0 (0.0%) | 0 (0.0%) |
| 5 or more Children | 0 (0.0%) | 0 (0.0%) |
| Total | 2 (8.0%) | 19 (27.5%) |
Income Below Poverty Among Married-Couple vs Single-Parent Households in Zip Code 17747
The poverty data for Zip Code 17747 shows that 49 of the married-couple family households (6.6%) and 21 of the single-parent households (22.3%) are living below the poverty level. Within the married-couple family households, those with 3 or 4 children have the highest poverty rate, with 9 households (22.5%) falling below the poverty line. Among the single-parent households, those with 1 or 2 children have the highest poverty rate, with 18 household (32.7%) living below poverty.
| Children | Married-Couple Families | Single-Parent Households |
| No Children | 17 (3.9%) | 3 (7.9%) |
| 1 or 2 Children | 8 (4.3%) | 18 (32.7%) |
| 3 or 4 Children | 9 (22.5%) | 0 (0.0%) |
| 5 or more Children | 15 (17.4%) | 0 (0.0%) |
| Total | 49 (6.6%) | 21 (22.3%) |
Employment Characteristics in Zip Code 17747
Employment by Class of Employer in Zip Code 17747
Among the 1,396 employed individuals in Zip Code 17747, private company employees (839 | 60.1%), self-employed (not incorporated) (160 | 11.5%), and not-for-profit organizations (155 | 11.1%) make up the most common classes of employment.
| Employer Class | # Employees | % Employees |
| Private Company Employees | 839 | 60.1% |
| Self-Employed (Incorporated) | 75 | 5.4% |
| Self-Employed (Not Incorporated) | 160 | 11.5% |
| Not-for-profit Organizations | 155 | 11.1% |
| Local Government Employees | 56 | 4.0% |
| State Government Employees | 87 | 6.2% |
| Federal Government Employees | 14 | 1.0% |
| Unpaid Family Workers | 10 | 0.7% |
| Total | 1,396 | 100.0% |
Employment Status by Age in Zip Code 17747
According to the labor force statistics for Zip Code 17747, out of the total population over 16 years of age (2,355), 62.0% or 1,460 individuals are in the labor force, with 2.7% or 39 of them unemployed. The age group with the highest labor force participation rate is 45 to 54 years, with 86.3% or 283 individuals in the labor force. Within the labor force, the 30 to 34 years age range has the highest percentage of unemployed individuals, with 8.4% or 8 of them being unemployed.
| Age Bracket | In Labor Force | Unemployed |
| 16 to 19 Years | 136 (54.8%) | 0 (0.0%) |
| 20 to 24 Years | 214 (80.5%) | 4 (1.9%) |
| 25 to 29 Years | 86 (67.2%) | 0 (0.0%) |
| 30 to 34 Years | 95 (78.5%) | 8 (8.4%) |
| 35 to 44 Years | 299 (77.3%) | 10 (3.3%) |
| 45 to 54 Years | 283 (86.3%) | 3 (1.1%) |
| 55 to 59 Years | 114 (72.2%) | 4 (3.5%) |
| 60 to 64 Years | 176 (63.3%) | 7 (4.0%) |
| 65 to 74 Years | 47 (16.8%) | 3 (6.4%) |
| 75 Years and over | 10 (6.2%) | 0 (0.0%) |
| Total | 1,460 (62.0%) | 39 (2.7%) |
Employment Status by Educational Attainment in Zip Code 17747
According to labor force statistics for Zip Code 17747, 75.2% of individuals (1,053) out of the total population between 25 and 64 years of age (1,400) are in the labor force, with 3.0% or 32 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 88.3% or 273 individuals in the labor force. Within the labor force, individuals with less than high school education have the highest percentage of unemployment, with 5.5% or 10 of them being unemployed.
| Educational Attainment | In Labor Force | Unemployed |
| Less than High School | 183 (51.1%) | 20 (5.5%) |
| High School Diploma | 372 (80.0%) | 16 (3.5%) |
| College / Associate Degree | 225 (84.0%) | 8 (3.1%) |
| Bachelor's Degree or higher | 273 (88.3%) | 2 (0.7%) |
| Total | 1,053 (75.2%) | 42 (3.0%) |
Employment Occupations by Sex in Zip Code 17747
Management, Business, Science and Arts Occupations
The most common Management, Business, Science and Arts occupations in Zip Code 17747 are Management (214 | 15.1%), Community & Social Service (103 | 7.2%), Computers, Engineering & Science (84 | 5.9%), Health Diagnosing & Treating (54 | 3.8%), and Education Instruction & Library (53 | 3.7%).
Management, Business, Science and Arts Occupations by Sex
Within the Management, Business, Science and Arts occupations in Zip Code 17747, the most male-oriented occupations are Architecture & Engineering (100.0%), Arts, Media & Entertainment (100.0%), and Management (76.6%), while the most female-oriented occupations are Legal Services & Support (100.0%), Education, Arts & Media (92.6%), and Computers & Mathematics (88.9%).
| Occupation | Male | Female |
| Management | 164 (76.6%) | 50 (23.4%) |
| Business & Financial | 8 (25.8%) | 23 (74.2%) |
| Computers, Engineering & Science | 39 (46.4%) | 45 (53.6%) |
| Computers & Mathematics | 5 (11.1%) | 40 (88.9%) |
| Architecture & Engineering | 25 (100.0%) | 0 (0.0%) |
| Life, Physical & Social Science | 9 (64.3%) | 5 (35.7%) |
| Community & Social Service | 35 (34.0%) | 68 (66.0%) |
| Education, Arts & Media | 2 (7.4%) | 25 (92.6%) |
| Legal Services & Support | 0 (0.0%) | 7 (100.0%) |
| Education Instruction & Library | 17 (32.1%) | 36 (67.9%) |
| Arts, Media & Entertainment | 16 (100.0%) | 0 (0.0%) |
| Health Diagnosing & Treating | 21 (38.9%) | 33 (61.1%) |
| Health Technologists | 3 (23.1%) | 10 (76.9%) |
| Total (Category) | 267 (54.9%) | 219 (45.1%) |
| Total (Overall) | 803 (56.5%) | 618 (43.5%) |
Services Occupations
The most common Services occupations in Zip Code 17747 are Food Preparation & Serving (85 | 6.0%), Cleaning & Maintenance (76 | 5.3%), Personal Care & Service (57 | 4.0%), Healthcare Support (40 | 2.8%), and Security & Protection (10 | 0.7%).
Services Occupations by Sex
Within the Services occupations in Zip Code 17747, the most male-oriented occupations are Law Enforcement (100.0%), Security & Protection (70.0%), and Cleaning & Maintenance (36.8%), while the most female-oriented occupations are Healthcare Support (100.0%), Personal Care & Service (96.5%), and Firefighting & Prevention (75.0%).
| Occupation | Male | Female |
| Healthcare Support | 0 (0.0%) | 40 (100.0%) |
| Security & Protection | 7 (70.0%) | 3 (30.0%) |
| Firefighting & Prevention | 1 (25.0%) | 3 (75.0%) |
| Law Enforcement | 6 (100.0%) | 0 (0.0%) |
| Food Preparation & Serving | 22 (25.9%) | 63 (74.1%) |
| Cleaning & Maintenance | 28 (36.8%) | 48 (63.2%) |
| Personal Care & Service | 2 (3.5%) | 55 (96.5%) |
| Total (Category) | 59 (22.0%) | 209 (78.0%) |
| Total (Overall) | 803 (56.5%) | 618 (43.5%) |
Sales and Office Occupations
The most common Sales and Office occupations in Zip Code 17747 are Office & Administration (105 | 7.4%), and Sales & Related (57 | 4.0%).
Sales and Office Occupations by Sex
| Occupation | Male | Female |
| Sales & Related | 30 (52.6%) | 27 (47.4%) |
| Office & Administration | 37 (35.2%) | 68 (64.8%) |
| Total (Category) | 67 (41.4%) | 95 (58.6%) |
| Total (Overall) | 803 (56.5%) | 618 (43.5%) |
Natural Resources, Construction and Maintenance Occupations
The most common Natural Resources, Construction and Maintenance occupations in Zip Code 17747 are Construction & Extraction (139 | 9.8%), Installation, Maintenance & Repair (97 | 6.8%), and Farming, Fishing & Forestry (42 | 3.0%).
Natural Resources, Construction and Maintenance Occupations by Sex
| Occupation | Male | Female |
| Farming, Fishing & Forestry | 38 (90.5%) | 4 (9.5%) |
| Construction & Extraction | 133 (95.7%) | 6 (4.3%) |
| Installation, Maintenance & Repair | 83 (85.6%) | 14 (14.4%) |
| Total (Category) | 254 (91.4%) | 24 (8.6%) |
| Total (Overall) | 803 (56.5%) | 618 (43.5%) |
Production, Transportation and Moving Occupations
The most common Production, Transportation and Moving occupations in Zip Code 17747 are Production (91 | 6.4%), Material Moving (83 | 5.8%), and Transportation (53 | 3.7%).
Production, Transportation and Moving Occupations by Sex
| Occupation | Male | Female |
| Production | 72 (79.1%) | 19 (20.9%) |
| Transportation | 48 (90.6%) | 5 (9.4%) |
| Material Moving | 36 (43.4%) | 47 (56.6%) |
| Total (Category) | 156 (68.7%) | 71 (31.3%) |
| Total (Overall) | 803 (56.5%) | 618 (43.5%) |
Employment Industries by Sex in Zip Code 17747
Employment Industries in Zip Code 17747
The major employment industries in Zip Code 17747 include Manufacturing (210 | 14.8%), Health Care & Social Assistance (166 | 11.7%), Construction (159 | 11.2%), Educational Services (138 | 9.7%), and Agriculture, Fishing & Hunting (135 | 9.5%).
Employment Industries by Sex in Zip Code 17747
The Zip Code 17747 industries that see more men than women are Mining, Quarrying, & Extraction (100.0%), Utilities (100.0%), and Construction (95.0%), whereas the industries that tend to have a higher number of women are Health Care & Social Assistance (86.1%), Professional & Scientific (81.2%), and Arts, Entertainment & Recreation (80.0%).
| Industry | Male | Female |
| Agriculture, Fishing & Hunting | 115 (85.2%) | 20 (14.8%) |
| Mining, Quarrying, & Extraction | 13 (100.0%) | 0 (0.0%) |
| Construction | 151 (95.0%) | 8 (5.0%) |
| Manufacturing | 153 (72.9%) | 57 (27.1%) |
| Wholesale Trade | 11 (84.6%) | 2 (15.4%) |
| Retail Trade | 52 (50.0%) | 52 (50.0%) |
| Transportation & Warehousing | 36 (81.8%) | 8 (18.2%) |
| Utilities | 18 (100.0%) | 0 (0.0%) |
| Information | 0 (0.0%) | 0 (0.0%) |
| Finance & Insurance | 19 (82.6%) | 4 (17.4%) |
| Real Estate, Rental & Leasing | 14 (77.8%) | 4 (22.2%) |
| Professional & Scientific | 12 (18.8%) | 52 (81.2%) |
| Enterprise Management | 0 (0.0%) | 0 (0.0%) |
| Administrative & Support | 43 (52.4%) | 39 (47.6%) |
| Educational Services | 42 (30.4%) | 96 (69.6%) |
| Health Care & Social Assistance | 23 (13.9%) | 143 (86.1%) |
| Arts, Entertainment & Recreation | 6 (20.0%) | 24 (80.0%) |
| Accommodation & Food Services | 21 (23.1%) | 70 (76.9%) |
| Public Administration | 25 (62.5%) | 15 (37.5%) |
| Total | 803 (56.5%) | 618 (43.5%) |
Education in Zip Code 17747
School Enrollment in Zip Code 17747
The most common levels of schooling among the 863 students in Zip Code 17747 are middle school (385 | 44.6%), elementary school (252 | 29.2%), and high school (110 | 12.8%).
| School Level | # Students | % Students |
| Nursery / Preschool | 51 | 5.9% |
| Kindergarten | 27 | 3.1% |
| Elementary School | 252 | 29.2% |
| Middle School | 385 | 44.6% |
| High School | 110 | 12.8% |
| College / Undergraduate | 32 | 3.7% |
| Graduate / Professional | 6 | 0.7% |
| Total | 863 | 100.0% |
School Enrollment by Age by Funding Source in Zip Code 17747
Out of a total of 863 students who are enrolled in schools in Zip Code 17747, 316 (36.6%) attend a private institution, while the remaining 547 (63.4%) are enrolled in public schools. The age group of 35 years and over has the highest likelihood of being enrolled in private schools, with 14 (77.8% 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 | 172 (56.6%) | 132 (43.4%) |
| 10 to 14 Year Olds | 234 (62.2%) | 142 (37.8%) |
| 15 to 17 Year Olds | 84 (85.7%) | 14 (14.3%) |
| 18 to 19 Year Olds | 21 (65.6%) | 11 (34.4%) |
| 20 to 24 Year Olds | 15 (100.0%) | 0 (0.0%) |
| 25 to 34 Year Olds | 5 (62.5%) | 3 (37.5%) |
| 35 Years and over | 4 (22.2%) | 14 (77.8%) |
| Total | 547 (63.4%) | 316 (36.6%) |
Educational Attainment by Field of Study in Zip Code 17747
Education (84 | 22.0%), business (51 | 13.4%), computers & mathematics (38 | 10.0%), bio, nature & agricultural (38 | 10.0%), and arts & humanities (30 | 7.9%) are the most common fields of study among 382 individuals in Zip Code 17747 who have obtained a bachelor's degree or higher.
| Field of Study | # Graduates | % Graduates |
| Computers & Mathematics | 38 | 10.0% |
| Bio, Nature & Agricultural | 38 | 10.0% |
| Physical & Health Sciences | 8 | 2.1% |
| Psychology | 11 | 2.9% |
| Social Sciences | 5 | 1.3% |
| Engineering | 15 | 3.9% |
| Multidisciplinary Studies | 7 | 1.8% |
| Science & Technology | 29 | 7.6% |
| Business | 51 | 13.4% |
| Education | 84 | 22.0% |
| Literature & Languages | 12 | 3.1% |
| Liberal Arts & History | 19 | 5.0% |
| Visual & Performing Arts | 12 | 3.1% |
| Communications | 23 | 6.0% |
| Arts & Humanities | 30 | 7.9% |
| Total | 382 | 100.0% |
Transportation & Commute in Zip Code 17747
Vehicle Availability by Sex in Zip Code 17747
The most prevalent vehicle ownership categories in Zip Code 17747 are males with no vehicle (270, accounting for 34.2%) and females with no vehicle (117, making up 44.5%).
| Vehicles Available | Male | Female |
| No Vehicle | 270 (34.2%) | 117 (19.3%) |
| 1 Vehicle | 39 (4.9%) | 60 (9.9%) |
| 2 Vehicles | 223 (28.3%) | 195 (32.1%) |
| 3 Vehicles | 160 (20.3%) | 156 (25.7%) |
| 4 Vehicles | 45 (5.7%) | 42 (6.9%) |
| 5 or more Vehicles | 52 (6.6%) | 37 (6.1%) |
| Total | 789 (100.0%) | 607 (100.0%) |
Commute Time in Zip Code 17747
The most frequently occuring commute durations in Zip Code 17747 are 20 to 24 minutes (200 commuters, 16.4%), 30 to 34 minutes (198 commuters, 16.3%), and 45 to 59 minutes (123 commuters, 10.1%).
| Commute Time | # Commuters | % Commuters |
| Less than 5 Minutes | 112 | 9.2% |
| 5 to 9 Minutes | 112 | 9.2% |
| 10 to 14 Minutes | 85 | 7.0% |
| 15 to 19 Minutes | 79 | 6.5% |
| 20 to 24 Minutes | 200 | 16.4% |
| 25 to 29 Minutes | 82 | 6.7% |
| 30 to 34 Minutes | 198 | 16.3% |
| 35 to 39 Minutes | 54 | 4.4% |
| 40 to 44 Minutes | 91 | 7.5% |
| 45 to 59 Minutes | 123 | 10.1% |
| 60 to 89 Minutes | 56 | 4.6% |
| 90 or more Minutes | 26 | 2.1% |
Commute Time by Sex in Zip Code 17747
The most common commute times in Zip Code 17747 are 30 to 34 minutes (112 commuters, 16.4%) for males and 20 to 24 minutes (89 commuters, 16.6%) for females.
| Commute Time | Male | Female |
| Less than 5 Minutes | 65 (9.5%) | 47 (8.8%) |
| 5 to 9 Minutes | 86 (12.6%) | 26 (4.9%) |
| 10 to 14 Minutes | 18 (2.6%) | 67 (12.5%) |
| 15 to 19 Minutes | 51 (7.5%) | 28 (5.2%) |
| 20 to 24 Minutes | 111 (16.3%) | 89 (16.6%) |
| 25 to 29 Minutes | 37 (5.4%) | 45 (8.4%) |
| 30 to 34 Minutes | 112 (16.4%) | 86 (16.1%) |
| 35 to 39 Minutes | 32 (4.7%) | 22 (4.1%) |
| 40 to 44 Minutes | 48 (7.0%) | 43 (8.0%) |
| 45 to 59 Minutes | 66 (9.7%) | 57 (10.6%) |
| 60 to 89 Minutes | 45 (6.6%) | 11 (2.1%) |
| 90 or more Minutes | 12 (1.8%) | 14 (2.6%) |
Time of Departure to Work by Sex in Zip Code 17747
The most frequent times of departure to work in Zip Code 17747 are 6:00 AM to 6:29 AM (151, 22.1%) for males and 7:00 AM to 7:29 AM (168, 31.4%) for females.
| Time of Departure | Male | Female |
| 12:00 AM to 4:59 AM | 25 (3.7%) | 25 (4.7%) |
| 5:00 AM to 5:29 AM | 36 (5.3%) | 30 (5.6%) |
| 5:30 AM to 5:59 AM | 89 (13.0%) | 35 (6.5%) |
| 6:00 AM to 6:29 AM | 151 (22.1%) | 69 (12.9%) |
| 6:30 AM to 6:59 AM | 113 (16.5%) | 38 (7.1%) |
| 7:00 AM to 7:29 AM | 61 (8.9%) | 168 (31.4%) |
| 7:30 AM to 7:59 AM | 17 (2.5%) | 32 (6.0%) |
| 8:00 AM to 8:29 AM | 48 (7.0%) | 76 (14.2%) |
| 8:30 AM to 8:59 AM | 17 (2.5%) | 9 (1.7%) |
| 9:00 AM to 9:59 AM | 21 (3.1%) | 5 (0.9%) |
| 10:00 AM to 10:59 AM | 5 (0.7%) | 19 (3.5%) |
| 11:00 AM to 11:59 AM | 23 (3.4%) | 3 (0.6%) |
| 12:00 PM to 3:59 PM | 52 (7.6%) | 19 (3.5%) |
| 4:00 PM to 11:59 PM | 25 (3.7%) | 7 (1.3%) |
| Total | 683 (100.0%) | 535 (100.0%) |
Housing Occupancy in Zip Code 17747
Occupancy by Ownership in Zip Code 17747
Of the total 1,051 dwellings in Zip Code 17747, owner-occupied units account for 825 (78.5%), while renter-occupied units make up 226 (21.5%).
| Occupancy | # Housing Units | % Housing Units |
| Owner Occupied Housing Units | 825 | 78.5% |
| Renter-Occupied Housing Units | 226 | 21.5% |
| Total Occupied Housing Units | 1,051 | 100.0% |
Occupancy by Household Size in Zip Code 17747
| Household Size | # Housing Units | % Housing Units |
| 1-Person Household | 172 | 16.4% |
| 2-Person Household | 437 | 41.6% |
| 3-Person Household | 170 | 16.2% |
| 4+ Person Household | 272 | 25.9% |
| Total Housing Units | 1,051 | 100.0% |
Occupancy by Ownership by Household Size in Zip Code 17747
| Household Size | Owner-occupied | Renter-occupied |
| 1-Person Household | 139 (80.8%) | 33 (19.2%) |
| 2-Person Household | 350 (80.1%) | 87 (19.9%) |
| 3-Person Household | 117 (68.8%) | 53 (31.2%) |
| 4+ Person Household | 219 (80.5%) | 53 (19.5%) |
| Total Housing Units | 825 (78.5%) | 226 (21.5%) |
Occupancy by Educational Attainment in Zip Code 17747
| Household Size | Owner-occupied | Renter-occupied |
| Less than High School | 205 (73.5%) | 74 (26.5%) |
| High School Diploma | 266 (77.8%) | 76 (22.2%) |
| College/Associate Degree | 199 (82.6%) | 42 (17.4%) |
| Bachelor's Degree or higher | 155 (82.0%) | 34 (18.0%) |
Occupancy by Age of Householder in Zip Code 17747
| Age Bracket | # Households | % Households |
| Under 35 Years | 200 | 19.0% |
| 35 to 44 Years | 172 | 16.4% |
| 45 to 54 Years | 162 | 15.4% |
| 55 to 64 Years | 250 | 23.8% |
| 65 to 74 Years | 167 | 15.9% |
| 75 to 84 Years | 74 | 7.0% |
| 85 Years and Over | 26 | 2.5% |
| Total | 1,051 | 100.0% |
Housing Finances in Zip Code 17747
Median Income by Occupancy in Zip Code 17747
| Occupancy Type | # Households | Median Income |
| Owner-Occupied | 825 (78.5%) | $72,165 |
| Renter-Occupied | 226 (21.5%) | $65,938 |
| Average | 1,051 (100.0%) | $70,762 |
Occupancy by Householder Income Bracket in Zip Code 17747
| Income Bracket | Owner-occupied | Renter-occupied |
| Less than $5,000 | 12 (1.5%) | 17 (7.5%) |
| $5,000 to $9,999 | 4 (0.5%) | 0 (0.0%) |
| $10,000 to $14,999 | 20 (2.4%) | 1 (0.4%) |
| $15,000 to $19,999 | 15 (1.8%) | 12 (5.3%) |
| $20,000 to $24,999 | 33 (4.0%) | 6 (2.6%) |
| $25,000 to $34,999 | 98 (11.9%) | 28 (12.4%) |
| $35,000 to $49,999 | 73 (8.8%) | 21 (9.3%) |
| $50,000 to $74,999 | 166 (20.1%) | 68 (30.1%) |
| $75,000 to $99,999 | 83 (10.1%) | 20 (8.8%) |
| $100,000 to $149,999 | 166 (20.1%) | 37 (16.4%) |
| $150,000 or more | 155 (18.8%) | 16 (7.1%) |
| Total | 825 (100.0%) | 226 (100.0%) |
Monthly Housing Cost Tiers in Zip Code 17747
| Monthly Cost | Owner-occupied | Renter-occupied |
| Less than $300 | 69 (8.4%) | 0 (0.0%) |
| $300 to $499 | 116 (14.1%) | 7 (3.1%) |
| $500 to $799 | 175 (21.2%) | 38 (16.8%) |
| $800 to $999 | 76 (9.2%) | 56 (24.8%) |
| $1,000 to $1,499 | 141 (17.1%) | 39 (17.3%) |
| $1,500 to $1,999 | 93 (11.3%) | 20 (8.8%) |
| $2,000 to $2,499 | 61 (7.4%) | 0 (0.0%) |
| $2,500 to $2,999 | 46 (5.6%) | 0 (0.0%) |
| $3,000 or more | 48 (5.8%) | 0 (0.0%) |
| Total | 825 (100.0%) | 226 (100.0%) |
Physical Housing Characteristics in Zip Code 17747
Housing Structures in Zip Code 17747
| Structure Type | # Housing Units | % Housing Units |
| Single Unit, Detached | 872 | 83.0% |
| Single Unit, Attached | 59 | 5.6% |
| 2 Unit Apartments | 43 | 4.1% |
| 3 or 4 Unit Apartments | 4 | 0.4% |
| 5 to 9 Unit Apartments | 0 | 0.0% |
| 10 or more Apartments | 3 | 0.3% |
| Mobile Home / Other | 70 | 6.7% |
| Total | 1,051 | 100.0% |
Housing Structures by Occupancy in Zip Code 17747
| Structure Type | Owner-occupied | Renter-occupied |
| Single Unit, Detached | 736 (84.4%) | 136 (15.6%) |
| Single Unit, Attached | 28 (47.5%) | 31 (52.5%) |
| 2 Unit Apartments | 6 (14.0%) | 37 (86.1%) |
| 3 or 4 Unit Apartments | 2 (50.0%) | 2 (50.0%) |
| 5 to 9 Unit Apartments | 0 (0.0%) | 0 (0.0%) |
| 10 or more Apartments | 0 (0.0%) | 3 (100.0%) |
| Mobile Home / Other | 53 (75.7%) | 17 (24.3%) |
| Total | 825 (78.5%) | 226 (21.5%) |
Housing Structures by Number of Rooms in Zip Code 17747
| Number of Rooms | Owner-occupied | Renter-occupied |
| 1 Room | 1 (0.1%) | 0 (0.0%) |
| 2 or 3 Rooms | 16 (1.9%) | 25 (11.1%) |
| 4 or 5 Rooms | 178 (21.6%) | 53 (23.4%) |
| 6 or 7 Rooms | 334 (40.5%) | 129 (57.1%) |
| 8 or more Rooms | 296 (35.9%) | 19 (8.4%) |
| Total | 825 (100.0%) | 226 (100.0%) |
Housing Structure by Heating Type in Zip Code 17747
| Heating Type | Owner-occupied | Renter-occupied |
| Utility Gas | 25 (3.0%) | 2 (0.9%) |
| Bottled, Tank, or LP Gas | 79 (9.6%) | 29 (12.8%) |
| Electricity | 122 (14.8%) | 8 (3.5%) |
| Fuel Oil or Kerosene | 318 (38.6%) | 88 (38.9%) |
| Coal or Coke | 83 (10.1%) | 40 (17.7%) |
| All other Fuels | 198 (24.0%) | 59 (26.1%) |
| No Fuel Used | 0 (0.0%) | 0 (0.0%) |
| Total | 825 (100.0%) | 226 (100.0%) |
Household Vehicle Usage in Zip Code 17747
| Vehicles per Household | Owner-occupied | Renter-occupied |
| No Vehicle | 178 (21.6%) | 83 (36.7%) |
| 1 Vehicle | 160 (19.4%) | 37 (16.4%) |
| 2 Vehicles | 267 (32.4%) | 49 (21.7%) |
| 3 or more Vehicles | 220 (26.7%) | 57 (25.2%) |
| Total | 825 (100.0%) | 226 (100.0%) |
Real Estate & Mortgages in Zip Code 17747
Real Estate and Mortgage Overview in Zip Code 17747
| Characteristic | Without Mortgage | With Mortgage |
| Housing Units | 370 | 455 |
| Median Property Value | $168,400 | $222,000 |
| Median Household Income | $57,857 | $128 |
| Monthly Housing Costs | $512 | $48 |
| Real Estate Taxes | $2,218 | $0 |
Property Value by Mortgage Status in Zip Code 17747
| Property Value | Without Mortgage | With Mortgage |
| Less than $50,000 | 22 (5.9%) | 17 (3.7%) |
| $50,000 to $99,999 | 50 (13.5%) | 25 (5.5%) |
| $100,000 to $299,999 | 225 (60.8%) | 251 (55.2%) |
| $300,000 to $499,999 | 37 (10.0%) | 100 (22.0%) |
| $500,000 to $749,999 | 9 (2.4%) | 22 (4.8%) |
| $750,000 to $999,999 | 13 (3.5%) | 13 (2.9%) |
| $1,000,000 or more | 14 (3.8%) | 27 (5.9%) |
| Total | 370 (100.0%) | 455 (100.0%) |
Household Income by Mortgage Status in Zip Code 17747
| Household Income | Without Mortgage | With Mortgage |
| Less than $10,000 | 3 (0.8%) | 26 (5.7%) |
| $10,000 to $24,999 | 49 (13.2%) | 13 (2.9%) |
| $25,000 to $34,999 | 57 (15.4%) | 19 (4.2%) |
| $35,000 to $49,999 | 41 (11.1%) | 41 (9.0%) |
| $50,000 to $74,999 | 98 (26.5%) | 32 (7.0%) |
| $75,000 to $99,999 | 30 (8.1%) | 68 (14.9%) |
| $100,000 to $149,999 | 65 (17.6%) | 53 (11.7%) |
| $150,000 or more | 27 (7.3%) | 101 (22.2%) |
| Total | 370 (100.0%) | 455 (100.0%) |
Property Value to Household Income Ratio in Zip Code 17747
| Value-to-Income Ratio | Without Mortgage | With Mortgage |
| Less than 2.0x | 95 (25.7%) | 100,625 (22,115.4%) |
| 2.0x to 2.9x | 94 (25.4%) | 162 (35.6%) |
| 3.0x to 3.9x | 34 (9.2%) | 113 (24.8%) |
| 4.0x or more | 147 (39.7%) | 44 (9.7%) |
| Total | 370 (100.0%) | 455 (100.0%) |
Real Estate Taxes by Mortgage Status in Zip Code 17747
| Property Taxes | Without Mortgage | With Mortgage |
| Less than $800 | 41 (11.1%) | 0 (0.0%) |
| $800 to $1,499 | 71 (19.2%) | 16 (3.5%) |
| $800 to $1,499 | 238 (64.3%) | 54 (11.9%) |
| Total | 370 (100.0%) | 455 (100.0%) |
Health & Disability in Zip Code 17747
Health Insurance Coverage by Age in Zip Code 17747
| Age Bracket | With Coverage | Without Coverage |
| Under 6 Years | 141 (44.6%) | 175 (55.4%) |
| 6 to 18 Years | 389 (41.7%) | 543 (58.3%) |
| 19 to 25 Years | 108 (32.3%) | 226 (67.7%) |
| 26 to 34 Years | 168 (70.6%) | 70 (29.4%) |
| 35 to 44 Years | 199 (51.4%) | 188 (48.6%) |
| 45 to 54 Years | 264 (80.5%) | 64 (19.5%) |
| 55 to 64 Years | 335 (76.8%) | 101 (23.2%) |
| 65 to 74 Years | 258 (92.1%) | 22 (7.9%) |
| 75 Years and older | 161 (100.0%) | 0 (0.0%) |
| Total | 2,023 (59.3%) | 1,389 (40.7%) |
Health Insurance Coverage by Citizenship Status in Zip Code 17747
| Citizenship Status | With Coverage | Without Coverage |
| Native Born | 141 (44.6%) | 175 (55.4%) |
| Foreign Born, Citizen | 389 (41.7%) | 543 (58.3%) |
| Foreign Born, not a Citizen | 108 (32.3%) | 226 (67.7%) |
Health Insurance Coverage by Household Income in Zip Code 17747
| Household Income | With Coverage | Without Coverage |
| Under $25,000 | 135 (48.7%) | 142 (51.3%) |
| $25,000 to $49,999 | 332 (68.7%) | 151 (31.3%) |
| $50,000 to $74,999 | 375 (55.3%) | 303 (44.7%) |
| $75,000 to $99,999 | 215 (59.2%) | 148 (40.8%) |
| $100,000 and over | 966 (60.0%) | 645 (40.0%) |
Public vs Private Health Insurance Coverage by Age in Zip Code 17747
| Age Bracket | Public Insurance | Private Insurance |
| Under 6 | 88 (27.9%) | 59 (18.7%) |
| 6 to 18 Years | 142 (15.2%) | 262 (28.1%) |
| 19 to 25 Years | 34 (10.2%) | 74 (22.2%) |
| 25 to 34 Years | 64 (26.9%) | 109 (45.8%) |
| 35 to 44 Years | 24 (6.2%) | 177 (45.7%) |
| 45 to 54 Years | 45 (13.7%) | 220 (67.1%) |
| 55 to 64 Years | 85 (19.5%) | 272 (62.4%) |
| 65 to 74 Years | 245 (87.5%) | 140 (50.0%) |
| 75 Years and over | 161 (100.0%) | 125 (77.6%) |
| Total | 888 (26.0%) | 1,438 (42.1%) |
Disability Status by Sex by Age in Zip Code 17747
| Age Bracket | Male | Female |
| Under 5 Years | 4 (3.1%) | 0 (0.0%) |
| 5 to 17 Years | 32 (7.4%) | 15 (3.0%) |
| 18 to 34 Years | 6 (1.8%) | 11 (3.7%) |
| 35 to 64 Years | 71 (12.7%) | 60 (10.2%) |
| 65 to 74 Years | 41 (28.5%) | 43 (31.6%) |
| 75 Years and over | 53 (58.9%) | 30 (42.2%) |
Disability Class by Sex by Age in Zip Code 17747
Disability Class: Hearing Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 0 (0.0%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 1 (0.3%) | 0 (0.0%) |
| 35 to 64 Years | 7 (1.3%) | 6 (1.0%) |
| 65 to 74 Years | 20 (13.9%) | 15 (11.0%) |
| 75 Years and over | 39 (43.3%) | 23 (32.4%) |
Disability Class: Vision Difficulty
| Age Bracket | Male | Female |
| Under 5 Years | 4 (3.1%) | 0 (0.0%) |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 0 (0.0%) | 0 (0.0%) |
| 35 to 64 Years | 25 (4.5%) | 14 (2.4%) |
| 65 to 74 Years | 6 (4.2%) | 1 (0.7%) |
| 75 Years and over | 3 (3.3%) | 8 (11.3%) |
Disability Class: Cognitive Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 31 (7.2%) | 15 (3.0%) |
| 18 to 34 Years | 2 (0.6%) | 3 (1.0%) |
| 35 to 64 Years | 21 (3.7%) | 14 (2.4%) |
| 65 to 74 Years | 19 (13.2%) | 14 (10.3%) |
| 75 Years and over | 16 (17.8%) | 4 (5.6%) |
Disability Class: Ambulatory Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 0 (0.0%) | 0 (0.0%) |
| 18 to 34 Years | 3 (0.9%) | 8 (2.7%) |
| 35 to 64 Years | 28 (5.0%) | 26 (4.4%) |
| 65 to 74 Years | 22 (15.3%) | 20 (14.7%) |
| 75 Years and over | 28 (31.1%) | 14 (19.7%) |
Disability Class: Self-Care Difficulty
| Age Bracket | Male | Female |
| 5 to 17 Years | 7 (1.6%) | 4 (0.8%) |
| 18 to 34 Years | 0 (0.0%) | 5 (1.7%) |
| 35 to 64 Years | 7 (1.3%) | 3 (0.5%) |
| 65 to 74 Years | 12 (8.3%) | 4 (2.9%) |
| 75 Years and over | 11 (12.2%) | 3 (4.2%) |
Technology Access in Zip Code 17747
Computing Device Access in Zip Code 17747
| Device Type | # Households | % Households |
| Desktop or Laptop | 627 | 59.7% |
| Smartphone | 624 | 59.4% |
| Tablet | 444 | 42.2% |
| No Computing Device | 331 | 31.5% |
| Total | 1,051 | 100.0% |
Internet Access in Zip Code 17747
| Internet Type | # Households | % Households |
| Dial-Up Internet | 6 | 0.6% |
| Broadband Home | 518 | 49.3% |
| Cellular Data Only | 87 | 8.3% |
| Satellite Internet | 94 | 8.9% |
| No Internet | 360 | 34.3% |
| Total | 1,051 | 100.0% |
Common Questions
What is the Total Population of Zip Code 17747?
Total Population of Zip Code 17747 is 3,412.
What is the Total Male Population of Zip Code 17747?
Total Male Population of Zip Code 17747 is 1,690.
What is the Total Female Population of Zip Code 17747?
Total Female Population of Zip Code 17747 is 1,722.
What is the Ratio of Males per 100 Females in Zip Code 17747?
There are 98.14 Males per 100 Females in Zip Code 17747.
What is the Ratio of Females per 100 Males in Zip Code 17747?
There are 101.89 Females per 100 Males in Zip Code 17747.
What is the Median Population Age in Zip Code 17747?
Median Population Age in Zip Code 17747 is 30.3 Years.
What is the Average Family Size in Zip Code 17747
Average Family Size in Zip Code 17747 is 3.7 People.
What is the Average Household Size in Zip Code 17747
Average Household Size in Zip Code 17747 is 3.2 People.
What is Per Capita Income in Zip Code 17747?
Per Capita income in Zip Code 17747 is $28,278.
What is the Median Family Income in Zip Code 17747?
Median Family Income in Zip Code 17747 is $84,479.
What is the Median Household income in Zip Code 17747?
Median Household Income in Zip Code 17747 is $70,762.
What is Income or Wage Gap in Zip Code 17747?
Income or Wage Gap in Zip Code 17747 is 29.6%.
Women in Zip Code 17747 earn 70.4 cents for every dollar earned by a man.
What is Inequality or Gini Index in Zip Code 17747?
Inequality or Gini Index in Zip Code 17747 is 0.41.
How Large is the Labor Force in Zip Code 17747?
There are 1,460 People in the Labor Forcein in Zip Code 17747.
What is the Percentage of People in the Labor Force in Zip Code 17747?
62.0% of People are in the Labor Force in Zip Code 17747.
What is the Unemployment Rate in Zip Code 17747?
Unemployment Rate in Zip Code 17747 is 2.7%.