93530 ZIP Code — Keeler, CA
Inyo County, California
ZIP code 93530 is located in Keeler, California, within Inyo County. It covers approximately 1.15 square miles and serves a population of 28 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 760.
28
population
1.15
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
93530 ZIP code map
Cities in ZIP code 93530
Below are the cities the US Postal Service accepts for ZIP code 93530. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Keeler | Acceptable |
Demographics
updated 06/2026
| Population | |
|---|---|
| Total population | 28 |
| Population density | 24 / sq mi |
| State FIPS | 06 |
| County FIPS | 027 |
| Geography | |
|---|---|
| Land area | 1.15 sq mi |
| Water area | 0.15 sq mi |
| Latitude | 36.5440 |
| Longitude | -117.9471 |
| 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 | 0.0% | 42.2% | 32.6% |
| $50k – $100k | 0.0% | 33.8% | 27.7% |
| $100k – $200k | 100.0% | 20.4% | 26.4% |
| Over $200k | 0.0% | 3.6% | 13.3% |
Demographics & statistics
28
Population
24
People per sq mi
80.1
Median age
$0
Median household income
$47,750
Per capita income
$0
Median home value
$0
Median monthly rent
25.0%
Home ownership
57.1%
Poverty rate
100.0%
Unemployment
20
Housing units
0.0%
Bachelor's or higher
Age distribution
Male
Female
0
65–74
12
0
75–84
16
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 28 | 100.0% |
| 65 and over | 28 | 100.0% |
| Median age | 80.1 years | |
Race & ethnicity
White
100%
| Group | Count | % |
|---|---|---|
| White | 28 | 100% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 0.0% | 42.2% | 32.6% |
| $50k – $100k | 0.0% | 33.8% | 27.7% |
| $100k – $200k | 100.0% | 20.4% | 26.4% |
| Over $200k | 0.0% | 3.6% | 13.3% |
Under $10k
57.1%
$50k–$75k
17.9%
$100k–$150k
25.0%
| Range | % of households |
|---|---|
| Under $10k | 57.1% |
| $50k–$75k | 17.9% |
| $100k–$150k | 25.0% |
| Median income | $0 |
Housing
Home values
Under $50k
100.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 25.0% |
| Renter occupied | 75.0% |
| Vacant | 31.7% |
| Single-family detached | 61.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 39.0% |
| Median rooms | 3.8 |
| Avg household size (owned) | 0.00 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 0.0% |
| 1980–1989 | 43.9% |
| 1970–1979 | 0.0% |
| 1960–1969 | 39.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 17.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 39.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 31.7% |
| 3 bedrooms | 29.3% |
| 4 bedrooms | 0.0% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 57.1% |
| 2 vehicles | 17.9% |
| 3 or more | 25.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 57.1% |
| Wood | 42.9% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 0 | 0.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 28 | 100.0% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 28 | 100.0% |
| Average household size | 0.00 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 0.0% | 0.0% |
| Married | 25.0% | 0.0% |
| Separated | 17.9% | 0.0% |
| Widowed | 0.0% | 0.0% |
| Divorced | 57.1% | 0.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
0.0%
Some college, no degree
100.0%
Associate's degree
0.0%
Bachelor's degree
0.0%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 0.0% |
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 | 16 | 100.0% |
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
57.1%
Under 18 years
0.0%
18 and over
57.1%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 75.0% |
| Retirement income | 42.9% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 57.1% |
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 | 28 | 100.0% |
| Disability | % |
|---|---|
| Any disability | 25.0% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 25.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 25.0% |
| 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 | 28 | 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) | 28 | 100.0% |
| Born in same state | 28 | 100.0% |
| Born in different state | 12 | 42.9% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 100.0% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 93530
What city is ZIP code 93530 in?
ZIP code 93530 is primarily assigned to Keeler, California.
What county is ZIP code 93530 in?
ZIP code 93530 falls within Inyo County, California.
Does ZIP code 93530 have a large veteran population?
100% of civilians in ZIP code 93530 are veterans, above the national average of ~7%.
Does ZIP code 93530 have an older population?
100% of residents in ZIP code 93530 are 65 or older, above the national average of ~17%.
What is the poverty rate in ZIP code 93530?
57% of residents in ZIP code 93530 live below the poverty line, above the national average.
Does ZIP code 93530 have a large retiree population?
75% of households in ZIP code 93530 receive Social Security income, suggesting a significant retiree or disability population.
What timezone is ZIP code 93530 in?
ZIP code 93530 observes the PST timezone.