93409 ZIP Code — San Luis Obispo, CA
San Luis Obispo County, California
ZIP code 93409 is located in San Luis Obispo, California, within San Luis Obispo County. It covers approximately 0.40 square miles and serves a population of 2,591 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 805.
About ZIP code 93409
The housing stock consists of a mix of housing types.
2,591
population
0.40
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
93409 ZIP code map
Cities in ZIP code 93409
Below are the cities the US Postal Service accepts for ZIP code 93409. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| San Luis Obispo | Acceptable |
| San Luis Obispo | Preferred |
Nearby ZIP codes
93408 San Luis Obispo (0.5 mi)
93410 San Luis Obispo (0.6 mi)
93407 San Luis Obispo (1.4 mi)
93401 San Luis Obispo (3.5 mi)
93405 San Luis Obispo (5.2 mi)
93402 Los Osos (7.9 mi)
93449 Pismo Beach (8.8 mi)
93442 Morro Bay (10.3 mi)
93433 Grover Beach (11.6 mi)
93422 Atascadero (12 mi)
93445 Oceano (12.6 mi)
93432 Creston (16.6 mi)
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 2,591 |
| Population density | 6,478 / sq mi |
| State FIPS | 06 |
| County FIPS | 079 |
| Geography | |
|---|---|
| Land area | 0.40 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 35.2839 |
| Longitude | -120.6701 |
| Timezone | Pacific (PT) |
| Area code | 805 |
Total population by age
Gender
Race & ethnicity
Demographics & statistics
2,591
Population
6,478
People per sq mi
43.2
Median age
$0
Median household income
$12,697
Per capita income
$0
Median home value
$0
Median monthly rent
0.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
0
Housing units
1.9%
Bachelor's or higher
Age distribution
Male
Female
149
20–24
1
529
25–34
2
755
35–44
4
497
45–54
2
193
55–59
1
158
60–64
1
255
65–74
1
39
75–84
0
4
85+
0
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 2,591 | 100.0% |
| 65 and over | 299 | 11.5% |
| Median age | 43.2 years | |
Race & ethnicity
Hispanic or Latino
25.3%
Black or African American
24.1%
Two or more races
21.9%
White
17.5%
Other race
6.9%
Asian
3%
American Indian / Alaska Native
1.1%
Native Hawaiian / Pacific Islander
0.3%
| Group | Count | % |
|---|---|---|
| Hispanic or Latino | 878 | 25.3% |
| Black or African American | 836 | 24.1% |
| Two or more races | 760 | 21.9% |
| White | 608 | 17.5% |
| Other race | 238 | 6.9% |
| Asian | 103 | 3% |
| American Indian / Alaska Native | 37 | 1.1% |
| Native Hawaiian / Pacific Islander | 9 | 0.3% |
Household income
Housing
Home values
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 0.0% |
| Renter occupied | 0.0% |
| Vacant | 0.0% |
| Single-family detached | 0.0% |
| Large apartment buildings | 0.0% |
| Mobile homes | 0.0% |
| Median rooms | 0.0 |
| 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 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 0.0% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 0.0% |
| 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 | 0.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 0 | 0.0% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 0 | 0.0% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 0 | 0.0% |
| Average household size | 0.00 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 51.3% | 100.0% |
| Married | 18.8% | 0.0% |
| Separated | 3.0% | 0.0% |
| Widowed | 2.6% | 0.0% |
| Divorced | 24.4% | 0.0% |
Education
Less than 9th grade
8.4%
Some HS, no diploma
32.8%
HS graduate
25.9%
Some college, no degree
27.3%
Associate's degree
3.7%
Bachelor's degree
1.1%
Graduate / professional
0.8%
| Metric | % |
|---|---|
| HS diploma or higher | 58.7% |
| Bachelor's or higher | 1.9% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 8 | 0.9% |
| High school | 408 | 48.3% |
| College / grad school | 429 | 50.8% |
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 | 0.0% |
| Retirement income | 0.0% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
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 | 222 | 8.6% |
| Disability | % |
|---|---|
| Any disability | 0.0% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 0.0% |
| Public insurance | 0.0% |
| No insurance | 0.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 2,591 | 100.0% |
| Spanish | 352 | 13.6% |
| Other Indo-European | 311 | 12.0% |
| Asian & Pacific Islander | 4 | 0.2% |
| Other languages | 37 | 1.4% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 2,179 | 84.1% |
| Born in same state | 2,147 | 82.9% |
| Born in different state | 1,841 | 71.1% |
| Foreign born | 32 | 1.2% |
| Naturalized citizen | 412 | 15.9% |
| Not a US citizen | 109 | 26.5% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 149 | 5.8% |
| French | 67 | 2.6% |
| English | 32 | 1.2% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 9 | 0.3% |
| Dutch | 9 | 0.3% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 0.0% |
| Internet access | 0.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 93409
What city is ZIP code 93409 in?
ZIP code 93409 is primarily assigned to San Luis Obispo, California.
What county is ZIP code 93409 in?
ZIP code 93409 falls within San Luis Obispo County, California.
What is the population of ZIP code 93409?
ZIP code 93409 has an estimated population of 2,591 residents, with a density of 6,478 people per square mile.
What timezone is ZIP code 93409 in?
ZIP code 93409 observes the PST timezone.