18821 ZIP Code — Great Bend, PA

Susquehanna County, Pennsylvania

ZIP code 18821 is located in Great Bend, Pennsylvania, within Susquehanna County. It covers approximately 3.78 square miles and serves a population of 1,029 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 570.

About ZIP code 18821

The housing stock consists of a mix of housing types. Most homes were built in the pre-1940, giving the area an established character. Median home value is $166,500. Owner-occupancy sits near the national average at 75%.

Median household income is $61,023. 40% of households receive Social Security income, suggesting a notable retiree or disability population.

The dominant occupation class is management, business, and professional, with manufacturing as the leading industry. The average commute of 19 minutes is near the national average.

College attainment at 20% is below the national average, consistent with a trades and production-oriented local economy.

Health indicators show elevated rates of smoking (23%) compared to national benchmarks.

Overall, ZIP code 18821 reflects a community defined by a trades-oriented workforce and a significant Social Security-dependent population.

1,029

population

3.78

sq mi land

Standard

ZIP type

Eastern (ET)

timezone

18821 ZIP code map

Cities in ZIP code 18821

Below are the cities the US Postal Service accepts for ZIP code 18821. Using any city not on this list may result in mail delivery delays.

City	Status
Great Bend	Preferred

Nearby ZIP codes

18847 Susquehanna (5.3 mi) 18822 Hallstead (5.6 mi) 13748 Conklin (7 mi) 13865 Windsor (7.1 mi) 13795 Kirkwood (7.2 mi) 18825 Jackson (9.3 mi) 13826 Ouaquaga (9.5 mi) 18834 New Milford (9.6 mi) 13904 Binghamton (11.4 mi) 18812 Brackney (11.5 mi) 13903 Binghamton (12.1 mi) 18465 Thompson (12.9 mi)

Demographics updated 05/2026

Population
Total population	1,029
Population density	272 / sq mi
State FIPS	42
County FIPS	115

Geography
Land area	3.78 sq mi
Water area	0.05 sq mi
Latitude	41.9769
Longitude	-75.7078
Timezone	Eastern (ET)
Area code	570

Total population by age

Gender

Race & ethnicity

Economics updated 05/2026

Household income

Income range	This ZIP	County avg	State avg
Under $50k	48.7%	44.2%	39.8%
$50k – $100k	33.3%	31.7%	30.8%
$100k – $200k	16.4%	19.5%	22.4%
Over $200k	1.6%	4.6%	7.1%

Demographics & statistics

1,029

Population

272

People per sq mi

46.0

Median age

$61,023

Median household income

$32,986

Per capita income

$166,500

Median home value

$844

Median monthly rent

74.8%

Home ownership

8.9%

Poverty rate

13.2%

Unemployment

386

Housing units

19.5%

Bachelor's or higher

Age distribution

Male Female

Under 5

5–9

10–14

15–19

20–24

25–34

35–44

45–54

55–59

60–64

65–74

75–84

85+

← Male

Female →

Age summary

Group	Count	%
Under 18	203	19.7%
18 and over	826	80.3%
65 and over	262	25.5%
Median age	46.0 years

Race & ethnicity

White 90.3%

Two or more races 4.4%

Asian 2.5%

Hispanic or Latino 2.3%

Black or African American 0.5%

Other race 0.1%

Group	Count	%
White	951	90.3%
Two or more races	46	4.4%
Asian	26	2.5%
Hispanic or Latino	24	2.3%
Black or African American	5	0.5%
Other race	1	0.1%

Household income

Income range	This ZIP	County avg	State avg
Under $50k	48.7%	44.2%	39.8%
$50k – $100k	33.3%	31.7%	30.8%
$100k – $200k	16.4%	19.5%	22.4%
Over $200k	1.6%	4.6%	7.1%

Under $10k 4.6%

$10k–$15k 5.0%

$15k–$25k 5.5%

$25k–$35k 15.1%

$35k–$50k 12.6%

$50k–$75k 17.8%

$75k–$100k 15.1%

$100k–$150k 19.5%

$150k–$200k 1.4%

$200k+ 3.4%

Range	% of households
Under $10k	4.6%
$10k–$15k	5.0%
$15k–$25k	5.5%
$25k–$35k	15.1%
$35k–$50k	12.6%
$50k–$75k	17.8%
$75k–$100k	15.1%
$100k–$150k	19.5%
$150k–$200k	1.4%
$200k+	3.4%
Median income	$61,023

Housing

Home values

Under $50k 7.3%

$50k–$100k 10.7%

$100k–$150k 26.3%

$150k–$200k 29.7%

$200k–$300k 22.3%

$300k–$500k 3.7%

Housing overview

Metric	Value
Median home value	$166,500
Median rent / month	$844
Owner occupied	74.8%
Renter occupied	25.2%
Vacant	11.9%
Single-family detached	67.5%
Large apartment buildings	6.9%
Mobile homes	8.7%
Median rooms	5.6
Avg household size (owned)	2.50

Year built

Era	%
2020 or later	0.0%
2010–2019	0.0%
2000–2009	3.6%
1990–1999	12.1%
1980–1989	19.2%
1970–1979	11.3%
1960–1969	11.3%
1950–1959	5.2%
1940–1949	5.0%
1939 or earlier	32.3%

Bedrooms

Size	% of units
No bedroom (studio)	0.0%
1 bedroom	10.1%
2 bedrooms	26.2%
3 bedrooms	48.0%
4 bedrooms	11.1%
5+ bedrooms	4.6%

Vehicles per household

Vehicles	% of households
No vehicle	8.2%
1 vehicle	30.4%
2 vehicles	44.2%
3 or more	17.2%

Heating fuel

Fuel type	%
Utility gas	3.2%
Electricity	31.8%
Propane / LP gas	16.9%
Fuel oil	33.6%
Wood	11.4%

Households & families

Household type	Count	%
Married-couple family	200	45.8%
Cohabiting couple	38	8.7%
Male householder, no spouse	97	22.2%
Female householder, no spouse	102	23.3%
Households with children under 18	103	23.6%
Households with seniors (65+)	183	41.9%
Average household size	2.35

Marital status

Status	Male	Female
Never married	30.0%	28.2%
Married	46.4%	47.9%
Separated	5.5%	2.4%
Widowed	4.8%	9.1%
Divorced	13.4%	12.4%

Education

Less than 9th grade 3.6%

Some HS, no diploma 10.2%

HS graduate 42.4%

Some college, no degree 15.2%

Associate's degree 9.1%

Bachelor's degree 13.4%

Graduate / professional 6.1%

Metric	%
HS diploma or higher	86.1%
Bachelor's or higher	19.5%

School enrollment (ages 3–17)

Type	Count	%
Nursery / preschool	8	3.5%
Kindergarten	3	1.3%
Elementary school	105	45.7%
High school	67	29.1%
College / grad school	47	20.4%

Employment

Industry of employment

Manufacturing 21.7%

Education & healthcare 16.1%

Retail trade 12.7%

Construction 9.7%

Transportation & utilities 9.3%

Arts, food & hospitality 8.4%

Finance & real estate 5.4%

Other services 4.8%

Professional & management 4.1%

Public administration 2.7%

Agriculture & mining 2.3%

Wholesale trade 1.6%

Information 1.4%

Occupation

Category	%
Management, business & arts	33.0%
Service	11.1%
Sales & office	21.3%
Natural resources & construction	16.1%
Production & transportation	18.6%

Employment type

Type	%
Private sector	86.7%
Government	10.2%
Self-employed	3.2%
Unpaid family workers	0.0%

Commute

Method	%
Drive alone	67.2%
Carpool	14.0%
Public transit	0.5%
Walk	4.4%
Work from home	13.5%
Other means	0.5%
Avg commute (minutes)	18.7

Poverty

All people 8.9%

Under 18 years 10.3%

18 and over 8.6%

Married-couple families 7.5%

Female-led households 9.8%

Income support

Source	% of households
Social Security	40.0%
Retirement income	30.9%
Supplemental Security	7.3%
Cash public assistance	2.5%
Food stamps / SNAP	13.0%

Health indicators

Condition	%
Obesity	36.7%
High blood pressure	37.1%
High cholesterol	35.7%
Diabetes	12.9%
Heart disease	8.8%
Stroke	4.1%
Asthma	11.0%
Arthritis	33.0%
Kidney disease	3.7%
Pulmonary disease	10.7%
Cancer	7.9%

Behavior / access	%
Smoking	22.9%
Binge drinking	17.0%
No physical activity	28.9%
Less than 7 hrs sleep	35.9%
Depression	24.1%
Fair or poor health	18.9%
Poor mental health	16.7%
Poor physical health	13.7%
No health insurance	11.9%
Visited doctor (checkup)	78.9%
Visited dentist	57.9%
Cholesterol screening	88.4%
Teeth loss	19.5%

Veterans & disability

Veterans	Count	%
Civilian veterans	51	6.2%

Disability	%
Any disability	21.5%
Under 18	12.3%
18–64 years	19.3%
65 and over	33.2%

Health insurance coverage

Type	%
Private insurance	65.6%
Public insurance	49.9%
No insurance	4.2%
Uninsured under 19	0.0%

Language & origin

Language spoken at home (age 5+)

Language	Count	%
English only	1,004	97.6%
Spanish	15	1.5%
Other Indo-European	7	0.7%
Asian & Pacific Islander	0	0.0%
Other languages	8	0.8%

Place of birth & citizenship

Origin	Count	%
Native born (US)	997	96.9%
Born in same state	985	95.7%
Born in different state	357	34.7%
Foreign born	12	1.2%
Naturalized citizen	32	3.1%
Not a US citizen	23	71.9%

Ancestry

Ancestry	Count	%
Italian	234	22.7%
French	142	13.8%
Arab	62	6%
English	35	3.4%

Ancestry	Count	%
Irish	15	1.5%
Polish	7	0.7%
Norwegian	6	0.6%
Dutch	2	0.2%

Technology access

Metric	% of households
Computer access	42.5%
Internet access	92.7%

Source: U.S. Census Bureau, American Community Survey 2025 estimates.

Frequently asked questions about ZIP code 18821

What city is ZIP code 18821 in?

ZIP code 18821 is primarily assigned to Great Bend, Pennsylvania.

What county is ZIP code 18821 in?

ZIP code 18821 falls within Susquehanna County, Pennsylvania.

Does ZIP code 18821 have an older population?

26% of residents in ZIP code 18821 are 65 or older, above the national average of ~17%.

Does ZIP code 18821 have a large retiree population?

40% of households in ZIP code 18821 receive Social Security income, suggesting a significant retiree or disability population.

What is the typical home value in ZIP code 18821?

The median home value in ZIP code 18821 is $166,500.

What is the population of ZIP code 18821?

ZIP code 18821 has an estimated population of 1,029 residents, with a density of 272 people per square mile.

What timezone is ZIP code 18821 in?

ZIP code 18821 observes the EST timezone.