San Luis Obispo-Paso Robles, CA · CBSA 42020
Software Engineer Salary in San Luis Obispo
VerifiedPublished metro-area wages for software engineers in San Luis Obispo-Paso Robles, CA, from the BLS OEWS May 2024 release — with the local distribution set against California and the national benchmark.
Software Engineers in San Luis Obispo earn a median of $132,010 per year, per BLS OEWS May 2024. The middle 50% earn $110,540–$162,810; the top 10% earn $200,360. That is 1% below the national median and 23% below the California median. BLS reports 480 employed locally.
Median wage
Verified$132,010
-1% vs national
Top 10% earn
$200,360
90th percentile
Employed in metro
480
Reliability High (4.2% RSE)
Software Engineer pay — San Luis Obispo vs California vs national
All three distributions are published BLS percentiles on a single shared scale.
| Percentile | Annual wage | vs national |
|---|---|---|
| 10th percentileentry / low | $79,410 | -1% |
| 25th percentile | $110,540 | +7% |
| Median50th percentile | $132,010 | -1% |
| 75th percentile | $162,810 | -4% |
| 90th percentiletop earners | $200,360 | -5% |
| Meanaverage | $139,490 | -4% |
How concentrated software engineers are in San Luis Obispo
Location quotient compares local concentration to the national rate. Above 1.00 means this metro employs the occupation more densely than the country overall.
Location quotient
0.37
Jobs per 1,000
3.93
Metro rank (pay)
#34 of 381
All engineering roles
$118,069
At a location quotient of 0.37, this occupation is thinner on the ground in San Luis Obispo than nationally. Pay can still be competitive, but the local employer pool is smaller.
Frequently asked questions
How much does a software engineer make in San Luis Obispo?
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Where does San Luis Obispo rank nationally for software engineers?
Source details
Published wage from BLS OEWS May 2024 for SOC 15-1252 (Software Developers), San Luis Obispo-Paso Robles, CA (metro area).
Benchmarks come from published government wage data via BLS OEWS. Local and emerging-role figures are labeled estimates. Full methodology →