Finish the data phase before lunch.
Every California public agency. 26.8M compensation records across 9,100+ agencies — cleaned, classified, and comparable. Skip the data gathering. Start the analysis.
Built for comp study firms
Your methodology, your deliverables, your client relationships. We provide the data.
Classified Compensation Data
LIVE APICity of Pleasanton
Alameda County • 432 employees • Quality: A
Auto-classified • All 29 SCO columns • Benefits itemized
Workflow comparison
Skip the spreadsheet archaeology
20 – 35 hours
per study, per analyst
Download SCO CSVs
Clean & normalize titles
Classify positions to benchmarks
Build peer comparisons
Look up CalPERS rates
Validate and cross-check
Calculate cost-to-market
Under 2 hours
automated, repeatable, auditable
Find your client agency
GET /v1/agencies?search=< 1 secPull all classified compensation data
GET /v1/positions?agency_id=< 2 secGet dimensional similarity scores for peer candidates
GET /v1/agencies/:id/similar< 1 secGenerate formatted Excel workbook
GET /v1/export/positions< 30 secFor Compensation Consultants
From 18 hours to 2 hours per comp study
How comp study firms use CalComp Data
A California compensation consulting firm conducting 15+ total comp studies per year currently spends 18–25 hours per engagement on data gathering: downloading SCO CSVs, cleaning title inconsistencies, matching positions to benchmark classifications, collecting salary schedules and MOU terms from peer agencies, and looking up CalPERS rates.
With CalComp Data, firms pull classified salary data, peer comparisons, and salary schedules with step progressions in minutes — then go straight to analysis. Board packet intelligence surfaces new comp study opportunities before the RFP is even published.
Based on typical compensation study workflows in California municipal consulting. Actual results vary by firm size, methodology, and study complexity.
18 hours
2 hours
4
7
Manual crosswalk
Auto-classified
Data coverage
The most complete CA compensation dataset
Position Records
All 10 SCO employer types, 2014-2024
Agencies
Cities, counties, special districts, K-12, CSU, UC
Years of Data
2014 through 2024, updated annually
CalPERS Plans
Employer rates, formulas, tiers
Financial Records
SCO FTR fiscal data
Taxonomy Codes
Auto-classified with SOC crosswalks
Last updated: March 24, 2026
Classification Engine
326K+ titles classified. Here's how.
Every title in the database passes through a 4-layer pipeline. The genomic classifier is the fallback, not the default — most titles are resolved by deterministic cache and pattern matching first.
Title Cache
Previously classified titles are instantly matched. Handles repeat lookups across 9,100+ agencies.
Heuristic Matcher
Regex patterns for ~120 common municipal titles (Police Officer, City Manager, etc.). Built-in, instant, 95%+ confidence.
Fuzzy Matcher
pgvector semantic matching against 273 canonical taxonomy entries. Catches abbreviations, misspellings, and variants.
Genomic Classifier
Pattern-trained classifier with full taxonomy context. Handles unusual or ambiguous titles with confidence scoring.
Worked Example
Raw SCO title:
"SR MGMT ANALYST"
ADMIN-05: Senior Management Analyst
Confidence: 94%
326K
Titles Classified
273
Taxonomy Entries
21
Position Families
Pricing
One plan. Everything included.
Start with a 30-day free trial. Then $1,000/mo or $10,000/yr.
30-day free trial
or $10,000/yr (save $2,000)
- All 29 SCO compensation columns + 21 computed fields
- 9,100+ California agencies (cities, counties, special districts, K-12)
- Salary schedules with step progressions (1,200+ agencies)
- MOU contract terms, COLA history & special pay provisions
- CalPERS employer contribution rates
- Board packet intelligence & procurement alerts
See the data for your next study
Request access and explore the API with your own client agencies. Start with a 30-day free trial — full access, no commitment.
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