DEEPCOMPS · OCCUPATION HUBS
Occupation Salaries by State
Average salary by occupation, broken down by state, with BEA RPP-adjusted real wage. One page per job — BLS percentile (P10–P90), licensing path, and transition routes. No self-report aggregation, no anchoring to crowdsourced ranges.
Occupations covered
P0 batch — high-volume occupations across healthcare, tech, and skilled trades. Expanding to 12+ occupations in Phase 2.
Software Engineer Salary
BLS W-2 wage + Levels.fyi-style FAANG total comp (L3-L8) on same page (most pages do one or the other) + state real-wage with BEA RPP + industry-segmented BLS NAICS data + bootcamp 2026 placement context
SOC 29-1141 · ARegistered Nurse Salary
Specialty wage table covering 14 RN paths (CRNA-track ICU $95-110K → school nurse $58-74K) + state real take-home with NLC overlay + travel/per-diem/staff net comparison + ADN→BSN→MSN→DNP ROI flowchart
SOC 15-2051 · BData Scientist Salary
Clean title boundary table (DS $108K vs DA $84K vs MLE $135-155K vs DE $125K) + 2024-2025 DS market contraction context + level-by-level FAANG comp comparison vs SWE + industry premium analysis showing DS-in-non-tech earns 40-50% of DS-in-tech
SOC 29-1123 · S+Physical Therapist Salary
PT Compact reciprocity integration + DPT ROI calc + setting breakdown (outpatient/inpatient/SNF/home health) — none of which BLS or USC offer in one place
SOC 47-2111 · AElectrician Salary
5-level wage ladder (apprentice yr1 → contractor) blending BLS + IBEW Local scales + state real take-home with RPP + union/non-union lifetime-earnings math + solar/EV/IoT specialty premium quantified + trade-vs-EE-bachelor's ROI table
What each occupation page contains
National + state percentile
Federal Occupational Employment Statistics — P10, P25, P50, P75, P90 + employment count by state.
Real-wage adjustment
Each state wage divided by Regional Price Parity to compare actual purchasing power, not nominal numbers.
Reciprocity routes
Which compacts/endorsements apply to that occupation, and how to move state-to-state without re-licensing from zero.
Path-in / path-out
Adjacent SOC codes, O*NET skill overlap, and ROI estimates for major program/bootcamp transitions.
FAQ
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Why these 5 occupations first?
High search volume, clear federal data coverage (BLS publishes detailed state-level percentiles), and high-CPA adjacent monetization (bootcamp, certification, licensure prep).
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Why no Glassdoor / Levels.fyi numbers?
Self-report data has well-known selection bias — people who report tend to skew higher-comp. BLS OES is the only federally-collected, employer-reported, percentile-broken dataset in the US. We surface it cleanly. For tech we layer in known total-comp band ranges as a separate signal, clearly labeled.
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When will more occupations be added?
Phase 2 adds 7+ occupations based on the data + keyword picks in our methodology. We're not running a brute-force 800-state-occupation matrix — each page goes through keyword research and edits before going live.
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Are state pages coming?
Top-3 states by employment for each occupation are surfaced on the occupation hub directly. Dedicated `/job/{occupation}/{state}/` pages are Phase 3 and gated on real-wage data quality per state.