17509 ZIP Code — Christiana, PA

Lancaster County, Pennsylvania

ZIP code 17509 is located in Christiana, Pennsylvania, within Lancaster County. It covers approximately 26.10 square miles and serves a population of 5,068 residents. This is a standard ZIP code in the Eastern (ET) timezone, served by area code 717.

About ZIP code 17509

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 $281,000. Owner-occupancy sits near the national average at 70%.

The gap between median ($75,880) and mean household income suggests income inequality — a small number of higher earners pull the average up.

The dominant occupation class is management, business, and professional, with manufacturing as the leading industry. The average commute of 25 minutes is near the national average.

College attainment at 17% 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. 45% of residents lack health insurance, above the national average.

5,068

population

26.10

sq mi land

Standard

ZIP type

Eastern (ET)

timezone

17509 ZIP code map

Cities in ZIP code 17509

Below are the cities the US Postal Service accepts for ZIP code 17509. Using any city not on this list may result in mail delivery delays.

City	Status
Christiana	Acceptable
Christiana	Preferred

Nearby ZIP codes

19310 Atglen (4 mi) 17562 Paradise (5.2 mi) 17536 Kirkwood (5.3 mi) 17535 Kinzers (6.2 mi) 19365 Parkesburg (6.4 mi) 19330 Cochranville (6.5 mi) 17566 Quarryville (7.3 mi) 17527 Gap (7.4 mi) 17579 Strasburg (8.3 mi) 17572 Ronks (9.2 mi) 17529 Gordonville (9.3 mi) 19363 Oxford (9.4 mi)

Demographics updated 05/2026

Population
Total population	5,068
Population density	194 / sq mi
State FIPS	42
County FIPS	071

Geography
Land area	26.10 sq mi
Water area	0.09 sq mi
Latitude	39.9206
Longitude	-76.0324
Timezone	Eastern (ET)
Area code	717

Total population by age

Gender

Race & ethnicity

Economics updated 05/2026

Household income

Income range	This ZIP	County avg	State avg
Under $50k	26.4%	34.0%	39.8%
$50k – $100k	39.5%	35.3%	30.8%
$100k – $200k	25.2%	24.8%	22.4%
Over $200k	8.9%	6.0%	7.1%

Demographics & statistics

5,068

Population

194

People per sq mi

27.4

Median age

$75,880

Median household income

$30,636

Per capita income

$281,000

Median home value

$1,048

Median monthly rent

70.2%

Home ownership

12.3%

Poverty rate

2.9%

Unemployment

1,027

Housing units

16.5%

Bachelor's or higher

Age distribution

Male Female

317

Under 5

336

248

5–9

262

203

10–14

215

225

15–19

238

154

20–24

163

350

25–34

370

216

35–44

228

219

45–54

232

112

55–59

118

119

60–64

126

161

65–74

171

101

75–84

107

85+

← Male

Female →

Age summary

Group	Count	%
Under 18	1,840	36.3%
18 and over	3,228	63.7%
65 and over	617	12.2%
Median age	27.4 years

Race & ethnicity

White 89.4%

Hispanic or Latino 4.2%

Two or more races 3.6%

Asian 1.2%

Other race 1.1%

Black or African American 0.6%

Group	Count	%
White	4,727	89.4%
Hispanic or Latino	220	4.2%
Two or more races	188	3.6%
Asian	62	1.2%
Other race	57	1.1%
Black or African American	34	0.6%

Household income

Income range	This ZIP	County avg	State avg
Under $50k	26.4%	34.0%	39.8%
$50k – $100k	39.5%	35.3%	30.8%
$100k – $200k	25.2%	24.8%	22.4%
Over $200k	8.9%	6.0%	7.1%

Under $10k 1.4%

$10k–$15k 3.3%

$15k–$25k 2.7%

$25k–$35k 6.5%

$35k–$50k 9.7%

$50k–$75k 25.8%

$75k–$100k 14.3%

$100k–$150k 16.5%

$150k–$200k 6.7%

$200k+ 13.2%

Range	% of households
Under $10k	1.4%
$10k–$15k	3.3%
$15k–$25k	2.7%
$25k–$35k	6.5%
$35k–$50k	9.7%
$50k–$75k	25.8%
$75k–$100k	14.3%
$100k–$150k	16.5%
$150k–$200k	6.7%
$200k+	13.2%
Median income	$75,880

Housing

Home values

Under $50k 3.8%

$50k–$100k 2.8%

$100k–$150k 10.4%

$150k–$200k 5.7%

$200k–$300k 33.3%

$300k–$500k 20.5%

$500k–$1M 12.8%

$1M+ 10.6%

Housing overview

Metric	Value
Median home value	$281,000
Median rent / month	$1,048
Owner occupied	70.2%
Renter occupied	29.8%
Vacant	4.0%
Single-family detached	69.8%
Large apartment buildings	0.0%
Mobile homes	3.6%
Median rooms	6.4
Avg household size (owned)	3.84

Year built

Era	%
2020 or later	0.0%
2010–2019	9.9%
2000–2009	11.3%
1990–1999	5.7%
1980–1989	11.0%
1970–1979	13.3%
1960–1969	9.0%
1950–1959	6.2%
1940–1949	4.9%
1939 or earlier	28.7%

Bedrooms

Size	% of units
No bedroom (studio)	0.6%
1 bedroom	2.5%
2 bedrooms	17.0%
3 bedrooms	45.6%
4 bedrooms	17.9%
5+ bedrooms	16.5%

Vehicles per household

Vehicles	% of households
No vehicle	36.9%
1 vehicle	16.7%
2 vehicles	25.5%
3 or more	20.9%

Heating fuel

Fuel type	%
Utility gas	6.4%
Electricity	20.6%
Propane / LP gas	16.8%
Fuel oil	15.3%
Wood	20.0%
No fuel used	1.3%

Households & families

Household type	Count	%
Married-couple family	931	67.4%
Cohabiting couple	51	3.7%
Male householder, no spouse	195	14.1%
Female householder, no spouse	204	14.8%
Households with children under 18	609	44.1%
Households with seniors (65+)	359	26.0%
Average household size	3.57

Marital status

Status	Male	Female
Never married	30.7%	31.3%
Married	62.0%	53.4%
Separated	1.6%	1.3%
Widowed	1.8%	8.5%
Divorced	3.9%	5.4%

Education

Less than 9th grade 17.5%

Some HS, no diploma 14.5%

HS graduate 33.5%

Some college, no degree 11.1%

Associate's degree 6.7%

Bachelor's degree 12.0%

Graduate / professional 4.5%

Metric	%
HS diploma or higher	67.9%
Bachelor's or higher	16.5%

School enrollment (ages 3–17)

Type	Count	%
Nursery / preschool	52	4.3%
Kindergarten	46	3.8%
Elementary school	751	61.5%
High school	248	20.3%
College / grad school	125	10.2%

Employment

Industry of employment

Manufacturing 17.4%

Construction 15.1%

Education & healthcare 11.6%

Retail trade 11.4%

Arts, food & hospitality 9.4%

Professional & management 8.8%

Agriculture & mining 8.0%

Transportation & utilities 6.4%

Finance & real estate 5.3%

Other services 3.3%

Wholesale trade 2.6%

Information 0.5%

Public administration 0.3%

Occupation

Category	%
Management, business & arts	28.8%
Service	16.8%
Sales & office	15.9%
Natural resources & construction	18.6%
Production & transportation	20.0%

Employment type

Type	%
Private sector	81.7%
Government	2.3%
Self-employed	14.4%
Unpaid family workers	1.6%

Commute

Method	%
Drive alone	51.5%
Carpool	23.7%
Public transit	0.1%
Walk	7.8%
Work from home	9.6%
Other means	7.3%
Avg commute (minutes)	25.0

Poverty

All people 12.3%

Under 18 years 16.0%

18 and over 10.1%

Married-couple families 10.3%

Female-led households 9.7%

Income support

Source	% of households
Social Security	28.0%
Retirement income	20.2%
Supplemental Security	3.2%
Cash public assistance	4.9%
Food stamps / SNAP	6.7%

Health indicators

Condition	%
Obesity	34.1%
High blood pressure	31.5%
High cholesterol	30.9%
Diabetes	10.3%
Heart disease	7.1%
Stroke	3.3%
Asthma	11.1%
Arthritis	28.1%
Kidney disease	3.0%
Pulmonary disease	8.8%
Cancer	6.7%

Behavior / access	%
Smoking	22.9%
Binge drinking	18.2%
No physical activity	26.1%
Less than 7 hrs sleep	37.2%
Depression	24.9%
Fair or poor health	17.0%
Poor mental health	17.7%
Poor physical health	12.0%
No health insurance	14.1%
Visited doctor (checkup)	76.6%
Visited dentist	59.2%
Cholesterol screening	85.8%
Teeth loss	20.0%

Veterans & disability

Veterans	Count	%
Civilian veterans	125	3.9%

Disability	%
Any disability	9.9%
Under 18	2.4%
18–64 years	11.0%
65 and over	31.2%

Health insurance coverage

Type	%
Private insurance	39.9%
Public insurance	23.4%
No insurance	45.2%
Uninsured under 19	60.4%

Language & origin

Language spoken at home (age 5+)

Language	Count	%
English only	4,415	87.1%
Spanish	509	11.5%
Other Indo-European	107	2.4%
Asian & Pacific Islander	402	9.1%
Other languages	0	0.0%

Place of birth & citizenship

Origin	Count	%
Native born (US)	4,976	98.2%
Born in same state	4,952	97.7%
Born in different state	4,660	91.9%
Foreign born	24	0.5%
Naturalized citizen	92	1.8%
Not a US citizen	40	43.5%

Ancestry

Ancestry	Count	%
Italian	425	8.4%
French	388	7.7%
Arab	208	4.1%
English	121	2.4%

Ancestry	Count	%
Irish	34	0.7%
Norwegian	21	0.4%
German	14	0.3%
Dutch	2	0%

Technology access

Metric	% of households
Computer access	27.2%
Internet access	61.0%

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

Frequently asked questions about ZIP code 17509

What city is ZIP code 17509 in?

ZIP code 17509 is primarily assigned to Christiana, Pennsylvania.

What county is ZIP code 17509 in?

ZIP code 17509 falls within Lancaster County, Pennsylvania.

Is ZIP code 17509 family-oriented?

36% of residents in ZIP code 17509 are under 18, reflecting a younger, family-oriented community.

What is the population of ZIP code 17509?

ZIP code 17509 has an estimated population of 5,068 residents, with a density of 194 people per square mile.

What is the typical home value in ZIP code 17509?

The median home value in ZIP code 17509 is $281,000.

What is the median household income in ZIP code 17509?

The median household income in ZIP code 17509 is $75,880, above the national median of ~$75,000.

What timezone is ZIP code 17509 in?

ZIP code 17509 observes the EST timezone.