What kinds of homes are in Pismo Beach, CA?
Pismo Beach, CA has 6,147 (±297) homes (2020–2024 American Community Survey).
That is about 1,758 homes per square mile of land.
54.9% are detached single-family houses.
14.3% are in buildings of two to four units.
9.6% are in buildings of five or more units.
Figures last updated on .
- Housing units
- 6,147 (±297)
- Detached houses
- 54.9%
- 2–4 unit buildings
- 14.3%
- 5+ unit buildings
- 9.6%
Homes in Pismo Beach by building size
| Building type | Pismo Beach | San Luis Obispo County | California | United States |
|---|---|---|---|---|
| Single-family, detached | 54.9% (±4.8 points) | 67.8% | 57.0% | 61.3% |
| Single-family, attached (townhouse, rowhouse) | 8.8% (±2.3 points) | 6.1% | 7.4% | 6.2% |
| 2 units | 10.1% (±4.4 points) | 2.9% | 2.4% | 3.4% |
| 3 or 4 units | 4.2% (±2.1 points) | 5.3% | 5.4% | 4.3% |
| 5 to 9 units | 5.4% (±2.3 points) | 3.6% | 5.7% | 4.5% |
| 10 to 19 units | 2.3% (±1.7 points) | 2.6% | 4.9% | 4.3% |
| 20 or more units | 1.9% (±1.4 points) | 3.8% | 13.6% | 10.3% |
| Mobile home | 12.4% (±2.4 points) | 7.7% | 3.5% | 5.6% |
| Boat, RV, van, etc. | 0.1% (±0.2 points) | 0.2% | 0.1% | 0.1% |
In Pismo Beach, the share of homes in buildings of five or more units is not measurably different from San Luis Obispo County (10.0%).
It is also lower than in California (24.2%).
It is lower than the national figure (19.1%).
Homes in buildings of 5 or more units in places near Pismo Beach
| Place | Distance | Homes in buildings of 5 or more units | Compared with this place |
|---|---|---|---|
| Pismo Beach | — | 9.6% (±3.2 points) | — |
| Grover Beach | 3.8 mi | 4.8% (±1.9 points) | Lower |
| Avila Beach | 4.1 mi | 2.0% (±6.7 points) | Lower |
| Los Ranchos | 4.9 mi | 0.0% (±11.6 points) | Not measurably different |
| Oceano | 5.1 mi | 4.4% (±2.7 points) | Lower |
| Arroyo Grande | 5.4 mi | 16.0% (±4.1 points) | Higher |
| San Luis Obispo | 7.8 mi | 24.9% (±2.5 points) | Higher |
| Callender | 9.1 mi | 0.0% (±8.0 points) | Lower |
| California Polytechnic State University | 11 mi | 39.4% (±57.1 points) | Not measurably different |
Nearby places with a measurably lower figure: Grover Beach, CA (4.8%), Avila Beach, CA (2.0%), Oceano, CA (4.4%).
Nearby places with a measurably higher figure: Arroyo Grande, CA (16.0%), San Luis Obispo, CA (24.9%).
Distance is measured in a straight line between the Census Bureau’s internal points for each place.
Homes in buildings of 5 or more units across San Luis Obispo County, place by place
| Rank | Place | Homes in buildings of 5 or more units |
|---|---|---|
| 1 | California Polytechnic State University | 39.4% (±57.1 points) |
| 2 | San Luis Obispo | 24.9% (±2.5 points) |
| 3 | Arroyo Grande | 16.0% (±4.1 points) |
| 4 | El Paso de Robles (Paso Robles) | 13.8% (±2.9 points) |
| 5 | Atascadero | 12.5% (±2.9 points) |
| 6 | Pismo Beach | 9.6% (±3.2 points) |
| 7 | Cayucos | 8.8% (±5.0 points) |
| 8 | Nipomo | 5.2% (±3.2 points) |
| 9 | Grover Beach | 4.8% (±1.9 points) |
| 10 | Morro Bay | 4.5% (±1.8 points) |
| 11 | Oceano | 4.4% (±2.7 points) |
| 12 | Templeton | 3.9% (±2.0 points) |
Showing 12 of 22 places in San Luis Obispo County, ranked from highest to lowest.
Survey years: 2020–2024 (American Community Survey 5-year estimates).
Margins of error are at the 90% confidence level.
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Questions about Pismo Beach
How many homes are in Pismo Beach?
Pismo Beach, CA has an estimated 6,147 (±297) housing units, occupied and vacant (2020–2024 American Community Survey).
Are most homes in Pismo Beach houses or apartments?
54.9% are detached houses and 8.8% attached houses, while 23.9% are in buildings of two or more units.
How many two-family and small multifamily homes are in Pismo Beach?
14.3% of homes in Pismo Beach are in buildings of two to four units, the small rental buildings that are often owner-occupied.
Sources
To check these figures in the Census Bureau’s own API, request the variables below from the 2024 ACS 5-year data profile (acs/acs5/profile) for Pismo Beach city, California (place:57414, in state:06).
Each estimate (E or PE) has a margin of error beside it (M or PM).
The API needs a free key.
DP04_0001E, DP04_0001M, DP04_0007PE, DP04_0007PM, DP04_0008PE, DP04_0008PM, DP04_0009PE, DP04_0009PM, DP04_0010PE, DP04_0010PM, DP04_0011PE, DP04_0011PM, DP04_0012PE, DP04_0012PM, DP04_0013PE, DP04_0013PM, DP04_0014PE, DP04_0014PM, DP04_0015PE, DP04_0015PM
This product uses the Census Bureau Data API but is not endorsed or certified by the Census Bureau.
Figures are published by the US Census Bureau, HUD, the Bureau of Labor Statistics and the FBI; Seayora reproduces them and does not adjust them, except where a sentence says it compares dollar figures after inflation. They describe the whole place, not any one building or street, and are not an appraisal, a rent determination, a tax bill, a safety rating or legal advice.
Figures last updated on .
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