This module estimates three independent, clearly separated economic impacts of the January 2025 LA wildfires on Los Angeles County. These three numbers measure different things and must not be added together. Each is presented with its full assumptions, data sources, and limitations.

Estimate 01 — Direct Property Destruction

Headline Figure: $36B – $40B

What it measures: The pre-fire market value of residential and commercial structures confirmed as Destroyed or Major Damage by CAL FIRE field inspectors.

What it does NOT measure: Land value · Contents and personal property · Infrastructure · Uninsured losses beyond structure value

Structure Counts — CAL FIRE DINS, February 5, 2025
Palisades Fire: 6,831 destroyed, 973 major damage
Eaton Fire: 9,418 destroyed, 1,073 major damage
Total destroyed: 16,249 · Total major damage: 2,046
Pre-Fire Market Values — CAR 2024
Pacific Palisades: $3,310,000
Altadena: $1,425,000
Palisades destroyed: 6,831 × $3,310,000 = $22.61B
Eaton destroyed: 9,418 × $1,425,000 = $13.42B
Subtotal destroyed: $36.03B
Major damage: 2,046 × $2,367,500 × 50% = $2.42B

Lower bound: $36.0B
Upper bound (4% demand surge): $40.0B
Final range: $36B – $40B
  • A1Neighborhood median prices used, not parcel-level assessments. Prop 13 constrained assessor values lag market values significantly.
  • A2Palisades pricing applied to Palisades structures, Altadena pricing to Eaton structures.
  • A3Major damage structures valued at 50% market price.
  • A44% demand surge on upper bound only (vs Milliman's 15% — we use market value not replacement cost as base).

Milliman (Feb 2025): $25.2B–$39.4B insured losses only

UCLA Anderson (Feb 2025): $95B–$164B total economic

Our number sits above Milliman (includes uninsured) and below UCLA (narrower scope).

  • Neighborhood medians mask bimodal value distribution
  • DINS counts subject to revision
  • Does not include contents, vehicles, infrastructure
  • CAR medians based on transactions that may not represent all structure types

Estimate 02 — Property Value Impact

Estimate: $3.9B

What it measures: Estimated decline in property values for surviving structures within 5 miles of fire perimeters.

What it does NOT measure: NOT additional to Estimate 01. Different properties only. Not permanent or cash-realized loss.

Academic Source

Sathaye et al. (2024), Landscape and Urban Planning — "Climate change and real estate markets: An empirical study of the impacts of wildfires on home values in California"

Method: Quasi-experimental spatial panel models with propensity score matching.

Key finding: 2.2% average property value decline within affected zone.

Affected stock: ~75,000 surviving structures within 5 miles
Total market value: ~$175B
Depreciation rate: 2.2%
Calculation: $175B × 2.2% = $3.85B
Final estimate: $3.9B
  • A12.2% used as single point estimate. Higher values (8%+) not supported by literature for this parameter.
  • A2Post-fire CAR distressed sales data (Altadena -39.1%, Palisades -23.7%) NOT used — reflects forced lot sales only, not typical residential transactions.
  • A35-mile radius is product simplification, not a fixed academic threshold.
  • A4$175B housing stock is approximate, derived from LA County Assessor parcel counts and Zillow Research CSV data.
  • 2.2% is average across many fires — 2025 LA fires may exceed this given urban intensity
  • Paper loss may partially recover
  • Study sample may not include events of this scale
  • No distance-decay model applied within the zone

Estimate 03 — Acute Smoke Health Cost

Estimate: $0.5B – $1.0B

What it measures: Economic cost of PM2.5 exposure to 4.2M LA County residents during 14-day elevated smoke period. Health economic cost — NOT property loss. Must not be added to Estimates 01 or 02.

Why included: SmokeStory's unique contribution. No other published LA wildfire estimate includes smoke health cost. Calculated directly from SmokeStory PM2.5 sensor data.

Exposure Data — EPA AQS via SmokeStory, Jan 9–23 2025
Mean PM2.5: 44.8 µg/m³
EPA 2024 standard: 9.0 µg/m³
Excess: 35.8 µg/m³ = 3.58 units of 10 µg/m³
Duration: 14 days
Exposed population: 4,200,000
— Health Impact Functions (EPA BenMAP TSD 2023) —

Acute admissions (65+, 800K): 0.17% × 3.58 = 4,869 cases
ER visits (all ages, 4.2M): 0.24% × 3.58 = 36,086 visits
Asthma attacks (450K patients): 3.0% × 3.58 = 48,330 attacks
Work loss days (4.2M): 0.046 × 3.58 = 691,656 days
Restricted activity (4.2M): 0.072 × 3.58 = 1,082,592 days
— COI Unit Values (EPA BenMAP 2023) —

Admissions: $40,000/case → $194.8M
ER visits: $1,200/visit → $43.3M
Asthma attacks: $220/attack → $10.6M
Work loss days: $280/day → $193.6M
Restricted activity: $96/day → $103.9M

Base total: $546M
Final range: $0.5B – $1.0B
(Upper bound accounts for monitor coverage gaps, higher incidence in vulnerable communities)
  • A1COI method used, not VSL. VSL designed for chronic long-term exposure, not acute 14-day events.
  • A214-day duration is conservative — some monitoring stations recorded longer periods of elevated PM2.5.
  • A3Population-average BenMAP incidence rates applied.
  • A4Uniform exposure assumed across 4.2M zone.
  • COI excludes mortality risk — deliberate conservative choice
  • Wildfire PM2.5 may be more harmful per µg/m³ than general rate (toxic ash compounds)
  • AQS data preliminary — final QA available 6+ months post-collection
  • National incidence rates applied to LA County

Data Sources

All Sources Are Publicly Available
Source Used For Access
CAL FIRE DINS (Feb 5, 2025) Structure counts public fire.ca.gov
CAR 2024 Pre-fire prices public reports
Zillow Research CSV Housing stock value free zillow.com/research/data
LA County Assessor Open Data Housing stock count public data.lacounty.gov
Sathaye et al. 2024 LUP Depreciation rate peer-reviewed journal
EPA AQS Param 88101 PM2.5 readings public API via SmokeStory
EPA BenMAP TSD Jan 2023 Health impact functions public epa.gov/benmap
EPA BenMAP COI 2023 Economic unit values public epa.gov/benmap
BLS 2024 LA County Work loss valuation public bls.gov
CHIS 2021–2022 Asthma population public UCLA CHIS
CAL FIRE FRAP Map perimeters public GeoJSON
NOAA HMS Smoke layer via SmokeStory
Disclaimer
These three estimates measure different things and must not be added together. All figures are preliminary estimates using public data and established methodology. SmokeStory is an independent open-source project, not an insurance company, government agency, or academic institution.

Methodology Version 3.0  ·  github.com/tinahuang1994/smokestory
Methodology by Tina Huang  ·  tina.huang@aya.yale.edu