19477 ZIP Code — Spring House, PA
Montgomery County, Pennsylvania
ZIP code 19477 is located in Spring House, Pennsylvania, within Montgomery County. It covers approximately 0.07 square miles and serves a population of 44 residents. This is a po box ZIP code in the Eastern (ET) timezone, served by area code 215/267/445.
44
population
0.07
sq mi land
PO Box
ZIP type
Eastern (ET)
timezone
19477 ZIP code map
Cities in ZIP code 19477
Below are the cities the US Postal Service accepts for ZIP code 19477. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Spring House | Acceptable |
| Spring House | Acceptable |
| Spring House | Preferred |
Nearby ZIP codes
19002 Ambler (0.9 mi)
19436 Gwynedd (1.2 mi)
19454 North Wales (2.4 mi)
18936 Montgomeryville (2.5 mi)
19455 North Wales (3 mi)
19424 Blue Bell (3 mi)
19422 Blue Bell (3.2 mi)
19034 Fort Washington (3.8 mi)
19446 Lansdale (4.2 mi)
19044 Horsham (4.4 mi)
19031 Flourtown (5.4 mi)
19462 Plymouth Meeting (5.4 mi)
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 44 |
| Population density | 629 / sq mi |
| State FIPS | 42 |
| County FIPS | 091 |
| Geography | |
|---|---|
| Land area | 0.07 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 40.1868 |
| Longitude | -75.2318 |
| Timezone | Eastern (ET) |
| Area code | 215/267/445 |
Total population by age
Gender
Race & ethnicity
Demographics & statistics
44
Population
629
People per sq mi
71.4
Median age
$0
Median household income
$26,486
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
27
Housing units
100.0%
Bachelor's or higher
Age distribution
Male
Female
17
65–74
27
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 44 | 100.0% |
| 65 and over | 44 | 100.0% |
| Median age | 71.4 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 44 | 100% |
Household income
$35k–$50k
100.0%
| Range | % of households |
|---|---|
| $35k–$50k | 100.0% |
| Median income | $0 |
Housing
Home values
$500k–$1M
100.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 100.0% |
| Renter occupied | 0.0% |
| Vacant | 0.0% |
| Single-family detached | 100.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 0.0% |
| Median rooms | 0.0 |
| Avg household size (owned) | 1.63 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 37.0% |
| 1970–1979 | 63.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 0.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 63.0% |
| 4 bedrooms | 37.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 37.0% |
| 2 vehicles | 63.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 37.0% |
| Fuel oil | 63.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 17 | 63.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 0 | 0.0% |
| Female householder, no spouse | 10 | 37.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 27 | 100.0% |
| Average household size | 1.63 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 0.0% | 0.0% |
| Married | 100.0% | 63.0% |
| Separated | 0.0% | 0.0% |
| Widowed | 0.0% | 0.0% |
| Divorced | 0.0% | 37.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
0.0%
Some college, no degree
0.0%
Associate's degree
0.0%
Bachelor's degree
77.3%
Graduate / professional
22.7%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 100.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 0 | 0.0% |
| High school | 0 | 0.0% |
| College / grad school | 0 | 0.0% |
Employment
Industry of employment
Education & healthcare
100.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 100.0% |
| Service | 0.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 0.0% |
| Production & transportation | 0.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 0.0% |
| Carpool | 0.0% |
| Public transit | 100.0% |
| Walk | 0.0% |
| Work from home | 0.0% |
| Other means | 0.0% |
| Avg commute (minutes) | 0.0 |
Poverty
All people
0.0%
Under 18 years
0.0%
18 and over
0.0%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 63.0% |
| Retirement income | 63.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 22.7% |
| High blood pressure | 48.7% |
| High cholesterol | 44.6% |
| Diabetes | 14.2% |
| Heart disease | 12.2% |
| Stroke | 4.8% |
| Asthma | 7.4% |
| Arthritis | 44.7% |
| Kidney disease | 4.9% |
| Pulmonary disease | 7.5% |
| Cancer | 16.9% |
| Behavior / access | % |
|---|---|
| Smoking | 6.1% |
| Binge drinking | 6.5% |
| No physical activity | 21.2% |
| Less than 7 hrs sleep | 24.6% |
| Depression | 13.5% |
| Fair or poor health | 12.6% |
| Poor mental health | 7.5% |
| Poor physical health | 9.8% |
| No health insurance | 5.1% |
| Visited doctor (checkup) | 89.6% |
| Visited dentist | 78.9% |
| Cholesterol screening | 98.3% |
| Teeth loss | 7.8% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 0.0% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 22.7% |
| Public insurance | 100.0% |
| No insurance | 0.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 44 | 100.0% |
| Spanish | 0 | 0.0% |
| Other Indo-European | 0 | 0.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 44 | 100.0% |
| Born in same state | 44 | 100.0% |
| Born in different state | 17 | 38.6% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 34 | 77.3% |
| Italian | 10 | 22.7% |
| Ancestry | Count | % |
|---|---|---|
| French | 10 | 22.7% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 61.4% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 19477
What city is ZIP code 19477 in?
ZIP code 19477 is primarily assigned to Spring House, Pennsylvania.
What county is ZIP code 19477 in?
ZIP code 19477 falls within Montgomery County, Pennsylvania.
Does ZIP code 19477 have an older population?
100% of residents in ZIP code 19477 are 65 or older, above the national average of ~17%.
How educated is the population of ZIP code 19477?
100% of residents hold a bachelor's degree or higher — well above the national average of ~33%, reflecting a highly educated population.
Does ZIP code 19477 have a large retiree population?
63% of households in ZIP code 19477 receive Social Security income, suggesting a significant retiree or disability population.
What is the population of ZIP code 19477?
ZIP code 19477 has an estimated population of 44 residents, with a density of 620 people per square mile.
What timezone is ZIP code 19477 in?
ZIP code 19477 observes the EST timezone.