93546 ZIP Code — Mammoth Lakes, CA
Mono County, California
ZIP code 93546 is located in Mammoth Lakes, California, within Mono County. It covers approximately 235.35 square miles and serves a population of 8,689 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 760/442.
About ZIP code 93546
The housing stock consists of a mix of housing types. Most homes were built in the 1970s, giving the area an established character. Median home value is $569,000. Owner-occupancy sits near the national average at 63%.
Median household income is $86,216.
The dominant occupation class is management, business, and professional, with arts, entertainment, and food service as the leading industry. The average commute of 13 minutes is near the national average.
Educational attainment is near the national average, with 30% of residents holding a bachelor's degree or higher.
17% of residents lack health insurance, above the national average.
8,689
population
235.35
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
93546 ZIP code map
Cities in ZIP code 93546
Below are the cities the US Postal Service accepts for ZIP code 93546. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Mammoth Lakes | Acceptable |
| Mammoth Lakes | Acceptable |
| Mammoth Lakes | Preferred |
Nearby ZIP codes
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 8,689 |
| Population density | 37 / sq mi |
| State FIPS | 06 |
| County FIPS | 051 |
| Geography | |
|---|---|
| Land area | 235.35 sq mi |
| Water area | 8.72 sq mi |
| Latitude | 37.6513 |
| Longitude | -118.8889 |
| Timezone | Pacific (PT) |
| Area code | 760/442 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 24.9% | 29.0% | 32.6% |
| $50k – $100k | 54.4% | 48.6% | 27.7% |
| $100k – $200k | 15.6% | 16.8% | 26.4% |
| Over $200k | 5.1% | 5.6% | 13.3% |
Demographics & statistics
8,689
Population
37
People per sq mi
38.7
Median age
$86,216
Median household income
$46,031
Per capita income
$569,000
Median home value
$1,297
Median monthly rent
62.9%
Home ownership
11.4%
Poverty rate
1.0%
Unemployment
9,340
Housing units
29.8%
Bachelor's or higher
Age distribution
Male
Female
223
Under 5
194
191
5–9
167
328
10–14
285
331
15–19
288
213
20–24
186
724
25–34
630
725
35–44
631
696
45–54
605
332
55–59
289
364
60–64
316
315
65–74
274
185
75–84
160
20
85+
17
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,833 | 21.1% |
| 18 and over | 6,856 | 78.9% |
| 65 and over | 971 | 11.2% |
| Median age | 38.7 years | |
Race & ethnicity
White
75.9%
Hispanic or Latino
7.2%
Two or more races
6.4%
Other race
5.3%
Asian
5.1%
Black or African American
0.2%
| Group | Count | % |
|---|---|---|
| White | 7,102 | 75.9% |
| Hispanic or Latino | 672 | 7.2% |
| Two or more races | 601 | 6.4% |
| Other race | 495 | 5.3% |
| Asian | 474 | 5.1% |
| Black or African American | 17 | 0.2% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 24.9% | 29.0% | 32.6% |
| $50k – $100k | 54.4% | 48.6% | 27.7% |
| $100k – $200k | 15.6% | 16.8% | 26.4% |
| Over $200k | 5.1% | 5.6% | 13.3% |
Under $10k
2.3%
$10k–$15k
2.4%
$15k–$25k
7.4%
$25k–$35k
2.5%
$35k–$50k
3.2%
$50k–$75k
27.5%
$75k–$100k
14.9%
$100k–$150k
25.3%
$150k–$200k
3.8%
$200k+
10.8%
| Range | % of households |
|---|---|
| Under $10k | 2.3% |
| $10k–$15k | 2.4% |
| $15k–$25k | 7.4% |
| $25k–$35k | 2.5% |
| $35k–$50k | 3.2% |
| $50k–$75k | 27.5% |
| $75k–$100k | 14.9% |
| $100k–$150k | 25.3% |
| $150k–$200k | 3.8% |
| $200k+ | 10.8% |
| Median income | $86,216 |
Housing
Home values
Under $50k
4.4%
$50k–$100k
0.5%
$100k–$150k
4.7%
$150k–$200k
1.5%
$200k–$300k
6.4%
$300k–$500k
24.7%
$500k–$1M
38.9%
$1M+
18.9%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $569,000 |
| Median rent / month | $1,297 |
| Owner occupied | 62.9% |
| Renter occupied | 37.1% |
| Vacant | 65.3% |
| Single-family detached | 36.7% |
| Large apartment buildings | 11.2% |
| Mobile homes | 5.0% |
| Median rooms | 4.6 |
| Avg household size (owned) | 2.41 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.6% |
| 2000–2009 | 9.3% |
| 1990–1999 | 14.5% |
| 1980–1989 | 22.8% |
| 1970–1979 | 33.6% |
| 1960–1969 | 14.1% |
| 1950–1959 | 1.7% |
| 1940–1949 | 0.5% |
| 1939 or earlier | 2.9% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 3.5% |
| 1 bedroom | 18.8% |
| 2 bedrooms | 36.9% |
| 3 bedrooms | 26.0% |
| 4 bedrooms | 11.6% |
| 5+ bedrooms | 3.2% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 1.4% |
| 1 vehicle | 36.3% |
| 2 vehicles | 34.1% |
| 3 or more | 28.2% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 24.0% |
| Electricity | 19.6% |
| Propane / LP gas | 14.9% |
| Fuel oil | 3.7% |
| Wood | 29.1% |
| No fuel used | 1.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 1,822 | 48.9% |
| Cohabiting couple | 407 | 10.9% |
| Male householder, no spouse | 772 | 20.7% |
| Female householder, no spouse | 725 | 19.5% |
| Households with children under 18 | 880 | 23.6% |
| Households with seniors (65+) | 667 | 17.9% |
| Average household size | 2.27 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 38.9% | 33.6% |
| Married | 53.3% | 49.5% |
| Separated | 1.2% | 3.8% |
| Widowed | 2.0% | 3.3% |
| Divorced | 4.6% | 9.8% |
Education
Less than 9th grade
5.7%
Some HS, no diploma
7.7%
HS graduate
18.9%
Some college, no degree
25.3%
Associate's degree
12.6%
Bachelor's degree
17.6%
Graduate / professional
12.2%
| Metric | % |
|---|---|
| HS diploma or higher | 86.6% |
| Bachelor's or higher | 29.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 88 | 5.1% |
| Kindergarten | 209 | 12.0% |
| Elementary school | 595 | 34.3% |
| High school | 544 | 31.3% |
| College / grad school | 301 | 17.3% |
Employment
Industry of employment
Arts, food & hospitality
27.2%
Education & healthcare
14.7%
Finance & real estate
14.3%
Professional & management
9.8%
Construction
9.0%
Manufacturing
7.4%
Public administration
5.5%
Other services
5.3%
Retail trade
3.8%
Agriculture & mining
2.1%
Transportation & utilities
0.9%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 40.9% |
| Service | 27.3% |
| Sales & office | 10.9% |
| Natural resources & construction | 12.3% |
| Production & transportation | 8.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 72.4% |
| Government | 11.3% |
| Self-employed | 16.3% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 62.9% |
| Carpool | 13.1% |
| Public transit | 5.3% |
| Walk | 5.6% |
| Work from home | 11.6% |
| Other means | 1.5% |
| Avg commute (minutes) | 13.0 |
Poverty
All people
11.4%
Under 18 years
18.8%
18 and over
9.5%
Married-couple families
4.9%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 11.1% |
| Retirement income | 8.1% |
| Supplemental Security | 5.3% |
| Cash public assistance | 3.0% |
| Food stamps / SNAP | 3.7% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 30.2% |
| High blood pressure | 24.0% |
| High cholesterol | 27.0% |
| Diabetes | 7.6% |
| Heart disease | 4.5% |
| Stroke | 2.1% |
| Asthma | 10.0% |
| Arthritis | 18.6% |
| Kidney disease | 2.2% |
| Pulmonary disease | 5.5% |
| Cancer | 4.6% |
| Behavior / access | % |
|---|---|
| Smoking | 13.9% |
| Binge drinking | 22.5% |
| No physical activity | 18.1% |
| Less than 7 hrs sleep | 32.4% |
| Depression | 19.2% |
| Fair or poor health | 12.9% |
| Poor mental health | 16.0% |
| Poor physical health | 9.5% |
| No health insurance | 12.5% |
| Visited doctor (checkup) | 64.2% |
| Visited dentist | 64.1% |
| Cholesterol screening | 88.4% |
| Teeth loss | 11.1% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 267 | 3.9% |
| Disability | % |
|---|---|
| Any disability | 6.8% |
| Under 18 | 3.7% |
| 18–64 years | 5.3% |
| 65 and over | 22.3% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 64.3% |
| Public insurance | 27.7% |
| No insurance | 17.2% |
| Uninsured under 19 | 11.3% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 8,272 | 95.2% |
| Spanish | 1,106 | 13.4% |
| Other Indo-European | 742 | 9.0% |
| Asian & Pacific Islander | 330 | 4.0% |
| Other languages | 34 | 0.4% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 6,666 | 76.7% |
| Born in same state | 6,651 | 76.5% |
| Born in different state | 4,910 | 56.5% |
| Foreign born | 15 | 0.2% |
| Naturalized citizen | 2,023 | 23.3% |
| Not a US citizen | 848 | 41.9% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 842 | 9.7% |
| French | 560 | 6.4% |
| Arab | 311 | 3.6% |
| English | 196 | 2.3% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 171 | 2% |
| German | 125 | 1.4% |
| Irish | 92 | 1.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 42.9% |
| Internet access | 98.8% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 93546
What city is ZIP code 93546 in?
ZIP code 93546 is primarily assigned to Mammoth Lakes, California.
What county is ZIP code 93546 in?
ZIP code 93546 falls within Mono County, California.
What is the typical home value in ZIP code 93546?
The median home value in ZIP code 93546 is $569,000.
What is the population of ZIP code 93546?
ZIP code 93546 has an estimated population of 8,689 residents, with a density of 37 people per square mile.
What is the median household income in ZIP code 93546?
The median household income in ZIP code 93546 is $86,216, above the national median of ~$75,000.
What timezone is ZIP code 93546 in?
ZIP code 93546 observes the PST timezone.