92539 ZIP Code — Anza, CA

Riverside County, California

ZIP code 92539 is located in Anza, California, within Riverside County. It covers approximately 130.26 square miles and serves a population of 3,760 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 951.

About ZIP code 92539

The housing stock consists of a higher-than-average concentration of mobile homes. Most homes were built in the 1980s, giving the area an established character. Median home value is $311,900. Owner-occupancy is high at 80%, well above the national average.

Median household income is $54,107. 41% of households receive Social Security income, suggesting a notable retiree or disability population.

The dominant occupation class is sales and office, with construction as the leading industry. An above-average commute of 41 minutes suggests many residents work outside the immediate area.

College attainment at 17% is below the national average, consistent with a trades and production-oriented local economy.

Overall, ZIP code 92539 reflects a community defined by a trades-oriented workforce, high homeownership, and a significant Social Security-dependent population.

3,760

population

130.26

sq mi land

Standard

ZIP type

Pacific (PT)

timezone

92539 ZIP code map

Cities in ZIP code 92539

Below are the cities the US Postal Service accepts for ZIP code 92539. Using any city not on this list may result in mail delivery delays.

City	Status
Anza	Preferred

Nearby ZIP codes

92536 Aguanga (7.6 mi) 92544 Hemet (12.7 mi) 92561 Mountain Center (14.7 mi) 92264 Palm Springs (15.2 mi) 92592 Temecula (18 mi) 92543 Hemet (19.5 mi)

Demographics updated 05/2026

Population
Total population	3,760
Population density	29 / sq mi
State FIPS	06
County FIPS	065

Geography
Land area	130.26 sq mi
Water area	0.09 sq mi
Latitude	33.5574
Longitude	-116.6959
Timezone	Pacific (PT)
Area code	951

Total population by age

Gender

Race & ethnicity

Economics updated 05/2026

Household income

Income range	This ZIP	County avg	State avg
Under $50k	48.8%	35.8%	32.6%
$50k – $100k	32.7%	29.8%	27.7%
$100k – $200k	18.4%	26.0%	26.4%
Over $200k	0.0%	8.4%	13.3%

Demographics & statistics

3,760

Population

People per sq mi

48.1

Median age

$54,107

Median household income

$29,750

Per capita income

$311,900

Median home value

$1,012

Median monthly rent

79.8%

Home ownership

8.4%

Poverty rate

5.8%

Unemployment

1,831

Housing units

17.2%

Bachelor's or higher

Age distribution

Male Female

142

Under 5

132

177

5–9

164

10–14

15–19

111

20–24

102

200

25–34

186

225

35–44

209

197

45–54

182

173

55–59

160

157

60–64

146

293

65–74

271

130

75–84

120

85+

← Male

Female →

Age summary

Group	Count	%
Under 18	790	21.0%
18 and over	2,970	79.0%
65 and over	874	23.2%
Median age	48.1 years

Race & ethnicity

White 51.9%

Hispanic or Latino 18%

Two or more races 12%

Asian 9%

Other race 7.4%

American Indian / Alaska Native 1.6%

Black or African American 0.1%

Group	Count	%
White	2,380	51.9%
Hispanic or Latino	826	18%
Two or more races	550	12%
Asian	411	9%
Other race	338	7.4%
American Indian / Alaska Native	75	1.6%
Black or African American	6	0.1%

Household income

Income range	This ZIP	County avg	State avg
Under $50k	48.8%	35.8%	32.6%
$50k – $100k	32.7%	29.8%	27.7%
$100k – $200k	18.4%	26.0%	26.4%
Over $200k	0.0%	8.4%	13.3%

Under $10k 6.5%

$10k–$15k 4.4%

$15k–$25k 12.7%

$25k–$35k 13.1%

$35k–$50k 8.5%

$50k–$75k 15.6%

$75k–$100k 15.4%

$100k–$150k 14.7%

$150k–$200k 1.8%

$200k+ 7.2%

Range	% of households
Under $10k	6.5%
$10k–$15k	4.4%
$15k–$25k	12.7%
$25k–$35k	13.1%
$35k–$50k	8.5%
$50k–$75k	15.6%
$75k–$100k	15.4%
$100k–$150k	14.7%
$150k–$200k	1.8%
$200k+	7.2%
Median income	$54,107

Housing

Home values

Under $50k 8.2%

$50k–$100k 3.9%

$100k–$150k 8.9%

$150k–$200k 13.7%

$200k–$300k 12.7%

$300k–$500k 49.1%

$500k–$1M 1.6%

$1M+ 1.7%

Housing overview

Metric	Value
Median home value	$311,900
Median rent / month	$1,012
Owner occupied	79.8%
Renter occupied	20.2%
Vacant	35.0%
Single-family detached	43.8%
Large apartment buildings	0.0%
Mobile homes	52.4%
Median rooms	5.1
Avg household size (owned)	2.68

Year built

Era	%
2020 or later	0.0%
2010–2019	4.1%
2000–2009	17.5%
1990–1999	11.6%
1980–1989	26.4%
1970–1979	20.8%
1960–1969	12.6%
1950–1959	3.7%
1940–1949	0.3%
1939 or earlier	2.9%

Bedrooms

Size	% of units
No bedroom (studio)	2.3%
1 bedroom	7.4%
2 bedrooms	42.1%
3 bedrooms	44.3%
4 bedrooms	3.7%
5+ bedrooms	0.1%

Vehicles per household

Vehicles	% of households
No vehicle	4.1%
1 vehicle	27.5%
2 vehicles	33.4%
3 or more	35.1%

Heating fuel

Fuel type	%
Utility gas	4.2%
Electricity	22.4%
Propane / LP gas	46.2%
Wood	25.2%
No fuel used	1.8%

Households & families

Household type	Count	%
Married-couple family	670	48.9%
Cohabiting couple	38	2.8%
Male householder, no spouse	273	19.9%
Female householder, no spouse	388	28.3%
Households with children under 18	273	19.9%
Households with seniors (65+)	634	46.3%
Average household size	2.74

Marital status

Status	Male	Female
Never married	21.9%	24.5%
Married	56.9%	46.9%
Separated	0.7%	0.1%
Widowed	2.1%	11.1%
Divorced	18.5%	17.3%

Education

Less than 9th grade 8.1%

Some HS, no diploma 12.2%

HS graduate 30.2%

Some college, no degree 26.7%

Associate's degree 5.5%

Bachelor's degree 8.7%

Graduate / professional 8.6%

Metric	%
HS diploma or higher	79.7%
Bachelor's or higher	17.2%

School enrollment (ages 3–17)

Type	Count	%
Nursery / preschool	67	9.2%
Kindergarten	58	8.0%
Elementary school	447	61.7%
High school	55	7.6%
College / grad school	98	13.5%

Employment

Industry of employment

Other services 17.1%

Construction 16.9%

Retail trade 15.8%

Manufacturing 12.3%

Arts, food & hospitality 9.9%

Education & healthcare 9.3%

Finance & real estate 4.8%

Professional & management 4.1%

Wholesale trade 3.3%

Transportation & utilities 3.1%

Agriculture & mining 2.7%

Public administration 0.5%

Information 0.4%

Occupation

Category	%
Management, business & arts	18.9%
Service	22.4%
Sales & office	32.1%
Natural resources & construction	22.2%
Production & transportation	4.4%

Employment type

Type	%
Private sector	71.9%
Government	7.0%
Self-employed	18.9%
Unpaid family workers	2.2%

Commute

Method	%
Drive alone	70.8%
Carpool	16.7%
Public transit	0.0%
Walk	0.0%
Work from home	11.5%
Other means	0.9%
Avg commute (minutes)	41.4

Poverty

All people 8.4%

Under 18 years 0.6%

18 and over 10.5%

Married-couple families 4.3%

Female-led households 15.6%

Income support

Source	% of households
Social Security	40.6%
Retirement income	21.9%
Supplemental Security	7.2%
Cash public assistance	3.7%
Food stamps / SNAP	6.7%

Health indicators

Condition	%
Obesity	36.9%
High blood pressure	37.7%
High cholesterol	36.9%
Diabetes	13.2%
Heart disease	8.4%
Stroke	4.1%
Asthma	10.9%
Arthritis	29.2%
Kidney disease	3.8%
Pulmonary disease	9.7%
Cancer	7.2%

Behavior / access	%
Smoking	17.2%
Binge drinking	17.4%
No physical activity	22.7%
Less than 7 hrs sleep	34.8%
Depression	21.0%
Fair or poor health	20.1%
Poor mental health	16.2%
Poor physical health	14.2%
No health insurance	12.5%
Visited doctor (checkup)	70.0%
Visited dentist	55.2%
Cholesterol screening	91.7%
Teeth loss	15.2%

Veterans & disability

Veterans	Count	%
Civilian veterans	253	8.5%

Disability	%
Any disability	19.4%
Under 18	7.3%
18–64 years	18.7%
65 and over	31.8%

Health insurance coverage

Type	%
Private insurance	49.9%
Public insurance	50.0%
No insurance	10.3%
Uninsured under 19	0.2%

Language & origin

Language spoken at home (age 5+)

Language	Count	%
English only	3,486	92.7%
Spanish	224	6.4%
Other Indo-European	86	2.5%
Asian & Pacific Islander	0	0.0%
Other languages	138	4.0%

Place of birth & citizenship

Origin	Count	%
Native born (US)	3,366	89.5%
Born in same state	3,351	89.1%
Born in different state	2,371	63.1%
Foreign born	15	0.4%
Naturalized citizen	394	10.5%
Not a US citizen	266	67.5%

Ancestry

Ancestry	Count	%
French	381	10.1%
Italian	310	8.2%
Polish	294	7.8%
Arab	184	4.9%

Ancestry	Count	%
English	52	1.4%
Dutch	43	1.1%
Irish	32	0.9%
German	10	0.3%

Technology access

Metric	% of households
Computer access	36.4%
Internet access	90.0%

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

Frequently asked questions about ZIP code 92539

What city is ZIP code 92539 in?

ZIP code 92539 is primarily assigned to Anza, California.

What county is ZIP code 92539 in?

ZIP code 92539 falls within Riverside County, California.

Does ZIP code 92539 have a large retiree population?

41% of households in ZIP code 92539 receive Social Security income, suggesting a significant retiree or disability population.

What is the typical home value in ZIP code 92539?

The median home value in ZIP code 92539 is $311,900.

What is the population of ZIP code 92539?

ZIP code 92539 has an estimated population of 3,760 residents, with a density of 29 people per square mile.

What is the median household income in ZIP code 92539?

The median household income in ZIP code 92539 is $54,107, below the national median of ~$75,000.

What timezone is ZIP code 92539 in?

ZIP code 92539 observes the PST timezone.