Los Olivos, CA
Single-footprint Census roll-up for Los Olivos, CA: 1 USPS ZIP, population 1,530. Open the primary ZIP for household income, housing tenure, and commute from ACS 2023 5-Year Estimates.
Source:
ACS city ledger plate
Sheet LOS-OLIVOS-CA · Los Olivos, CA 1 ZIPs · 1,530 pop · #1069/25278 · Santa Barbara County
INC-TOP · RANK-TOP · PHOTO-FINISH · BOOK-ONE · OWN-HIGH · POP-VILLAGE · SPREAD-UNK · HOME-TOP
- INC-TOP $142,760
- RANK-TOP #1069/25278
- PHOTO-FINISH ≈ Santa Barbara
- BOOK-ONE 1 ZIP
- OWN-HIGH 88% owners
- POP-VILLAGE 1,530
- SPREAD-UNK Single-ZIP book
- HOME-TOP $1,503,100
Nearest income peer: Santa Barbara, CA ( $3,057 income $)
Instrument codes from this city’s ACS household income, national rank, county-peer gap, ZIP book, owner tenure, population scale, intra-city income spread, and home-value band, not a moving recommendation.
Income neighbourhood around Los Olivos
Lowest/highest poles plus county-sharing cities nearest Los Olivos on average ZIP median household income. Full ladder: /cities.
- New Cuyama · lowest
New Cuyama · lowest
$60,938 median HH income
- Carpinteria · near
Carpinteria · near
$110,359 median HH income
- Santa Ynez · near
Santa Ynez · near
$114,139 median HH income
- Solvang · near
Solvang · near
$118,488 median HH income
- Santa Barbara · near
Santa Barbara · near
$139,703 median HH income
- Los Olivos · this city · highest
Los Olivos · this city · highest
$142,760 median HH income
What this shows County-sharing peers only, not the full US city board. Open a near peer when the gap is small; open the poles when the mosaic is wide.
National city placement
According to ACS 5-Year Estimates, Los Olivos, CA sits among US cities with a top-decile household income, on a village-scale population base, across a single-ZIP footprint.
- Top 4%
- household income vs 25,278 US cities
- 1,530
- city population (Census)
- 1
- USPS ZIP codes covered
- $142,760
- avg ZIP median income
Income percentile ranks this city's average ZIP median household income against 25,278 US cities with ACS income on at least one ZIP. Scale and ZIP-spread words come from Census population and USPS ZIP coverage.
High-income footprint on only 1 ZIP: the city page and the ZIP page nearly coincide. Headline income $142,760 and home value $1,503,100 should be read as near-neighborhood numbers ; bachelor's attainment averages 60.0%.
Owner-occupancy here runs high (88.4%) - tenure is stable enough that the ZIP detail's owner share is the right next click, not a renter-heavy compare.
Within California, Pleasant Hill is the closest lower-income city and Pebble Beach the closest higher-income city by average ZIP household income. Their 1 and 1 ZIP footprints are the immediate statewide comparison set for Los Olivos.
ZIP Codes in Los Olivos, CA
These ZIP codes sit in Santa Barbara County, which covers 23 ZIP codes in all; 1 of them fall in Los Olivos. See the Santa Barbara County roll-up →
No other city sharing Santa Barbara County reports a higher average ZIP median income than Los Olivos. Santa Maria, Lompoc and Goleta sit below it, so a household comparing this county on income alone starts here. New Cuyama marks the far end of that range at $60,938, 57% below Los Olivos.
| ZIP Code | Population | Density | Timezone |
|---|---|---|---|
| 93441 | 1,530 | 11 | America/Los_Angeles |
On a short ZIP footprint the city roll-up and the primary ZIP nearly coincide. Start at the Census ACS tables for Los Olivos, then BLS wages if you need the labor-market side of the same small geography.
Source: U.S. Census Bureau, American Community Survey (ACS) 5-Year Estimates (2023). Verify with Census Bureau →
Source: HUD USPS Crosswalk (ZIP-to-county mapping) and Source: simplemaps.com (ZIP coordinates & timezones). Verify with HUD →
PlainZIP is not affiliated with the U.S. Census Bureau or any government agency.
Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the U.S. Census Bureau American Community Survey (ACS). Consult a qualified professional before making decisions based on this data.