93522 ZIP Code — Darwin, CA
Inyo County, California
ZIP code 93522 is located in Darwin, California, within Inyo County. It covers approximately 49.09 square miles and serves a population of 86 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 760.
86
population
49.09
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
93522 ZIP code map
Cities in ZIP code 93522
Below are the cities the US Postal Service accepts for ZIP code 93522. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Darwin | Acceptable |
Demographics
updated 06/2026
| Population | |
|---|---|
| Total population | 86 |
| Population density | 2 / sq mi |
| State FIPS | 06 |
| County FIPS | 027 |
| Geography | |
|---|---|
| Land area | 49.09 sq mi |
| Water area | 0.04 sq mi |
| Latitude | 36.3007 |
| Longitude | -117.5967 |
| Timezone | Pacific (PT) |
| Area code | 760 |
Total population by age
Gender
Race & ethnicity
Economics
updated 06/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 64.9% | 42.2% | 32.6% |
| $50k – $100k | 35.1% | 33.8% | 27.7% |
| $100k – $200k | 0.0% | 20.4% | 26.4% |
| Over $200k | 0.0% | 3.6% | 13.3% |
Demographics & statistics
86
Population
2
People per sq mi
64.2
Median age
$0
Median household income
$25,884
Per capita income
$40,600
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
63
Housing units
7.0%
Bachelor's or higher
Age distribution
Male
Female
46
60–64
14
20
65–74
6
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 86 | 100.0% |
| 65 and over | 26 | 30.2% |
| Median age | 64.2 years | |
Race & ethnicity
White
55.8%
Two or more races
44.2%
| Group | Count | % |
|---|---|---|
| White | 48 | 55.8% |
| Two or more races | 38 | 44.2% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 64.9% | 42.2% | 32.6% |
| $50k – $100k | 35.1% | 33.8% | 27.7% |
| $100k – $200k | 0.0% | 20.4% | 26.4% |
| Over $200k | 0.0% | 3.6% | 13.3% |
$15k–$25k
47.8%
$50k–$75k
39.1%
$75k–$100k
13.0%
| Range | % of households |
|---|---|
| $15k–$25k | 47.8% |
| $50k–$75k | 39.1% |
| $75k–$100k | 13.0% |
| Median income | $0 |
Housing
Home values
Under $50k
87.0%
$100k–$150k
13.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $40,600 |
| Median rent / month | $0 |
| Owner occupied | 100.0% |
| Renter occupied | 0.0% |
| Vacant | 27.0% |
| Single-family detached | 36.5% |
| Large apartment buildings | 0.0% |
| Mobile homes | 63.5% |
| Median rooms | 3.9 |
| Avg household size (owned) | 1.87 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 0.0% |
| 1970–1979 | 63.5% |
| 1960–1969 | 27.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 9.5% |
| 1939 or earlier | 0.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 55.6% |
| 2 bedrooms | 44.4% |
| 3 bedrooms | 0.0% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 0.0% |
| 2 vehicles | 47.8% |
| 3 or more | 52.2% |
Heating fuel
| Fuel type | % |
|---|---|
| Wood | 100.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 18 | 39.1% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 28 | 60.9% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 24 | 52.2% |
| Average household size | 1.87 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 63.6% | 0.0% |
| Married | 27.3% | 100.0% |
| Separated | 0.0% | 0.0% |
| Widowed | 0.0% | 0.0% |
| Divorced | 9.1% | 0.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
44.2%
Some college, no degree
48.8%
Associate's degree
0.0%
Bachelor's degree
7.0%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 7.0% |
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
Occupation
| Category | % |
|---|---|
| Management, business & arts | 0.0% |
| Service | 0.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 0.0% |
| Production & transportation | 0.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 0.0% |
| Government | 0.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 0.0% |
| Carpool | 0.0% |
| Public transit | 0.0% |
| 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 | 39.1% |
| Retirement income | 13.0% |
| Supplemental Security | 87.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 87.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 0.0% |
| High blood pressure | 0.0% |
| High cholesterol | 0.0% |
| Diabetes | 0.0% |
| Heart disease | 0.0% |
| Stroke | 0.0% |
| Asthma | 0.0% |
| Arthritis | 0.0% |
| Kidney disease | 0.0% |
| Pulmonary disease | 0.0% |
| Cancer | 0.0% |
| Behavior / access | % |
|---|---|
| Smoking | 0.0% |
| Binge drinking | 0.0% |
| No physical activity | 0.0% |
| Less than 7 hrs sleep | 0.0% |
| Depression | 0.0% |
| Fair or poor health | 0.0% |
| Poor mental health | 0.0% |
| Poor physical health | 0.0% |
| No health insurance | 0.0% |
| Visited doctor (checkup) | 0.0% |
| Visited dentist | 0.0% |
| Cholesterol screening | 0.0% |
| Teeth loss | 0.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 46.5% |
| Under 18 | 0.0% |
| 18–64 years | 66.7% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 7.0% |
| 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 | 86 | 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) | 86 | 100.0% |
| Born in same state | 86 | 100.0% |
| Born in different state | 42 | 48.8% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 22 | 25.6% |
| Ancestry | Count | % |
|---|---|---|
| Dutch | 6 | 7% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 53.5% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 93522
What city is ZIP code 93522 in?
ZIP code 93522 is primarily assigned to Darwin, California.
What county is ZIP code 93522 in?
ZIP code 93522 falls within Inyo County, California.
Does ZIP code 93522 have an older population?
30% of residents in ZIP code 93522 are 65 or older, above the national average of ~17%.
How educated is the population of ZIP code 93522?
7% of residents hold a bachelor's degree or higher — below the national average of ~33%, consistent with a trades-oriented local economy.
Does ZIP code 93522 have a large retiree population?
39% of households in ZIP code 93522 receive Social Security income, suggesting a significant retiree or disability population.
What is the typical home value in ZIP code 93522?
The median home value in ZIP code 93522 is $40,600.
What timezone is ZIP code 93522 in?
ZIP code 93522 observes the PST timezone.