2026-04-05

Decibel District

Your city is screaming. We have the receipts.

Consumer-facing urban noise intelligence — city-level noise scorecards, neighborhood quiet scores, complaint hotspot analysis, health impact translation, and soundproofing product guidance, all auto-generated from government noise APIs, 311 complaint data, and peer-reviewed health research.

Niche Explored

Consumer-facing urban noise pollution intelligence — city-level noise scorecards, health impact analysis, neighborhood quiet scores, complaint hotspot mapping, soundproofing guidance, and data journalism translating government noise data into actionable, beautiful content for renters, homebuyers, remote workers, and sleep-conscious consumers.

Existing Competition

HowLoud.com (Soundscore™) — Patent-pending noise score for real estate. API available but paywalled. Focus is narrow: address-level score for listings. No editorial content, no health context, no community, no complaint analysis. Their scores are modeled, not measured. Gap: zero storytelling, zero health science, zero product guidance.
MindTheNoise.com — Crowdsourced noise complaint map. Very niche, user-submitted, limited data, no editorial layer, no analysis. Gap: raw data dump with no synthesis or narrative.
QuietCommunities.org — Advocacy non-profit. Campaigns against leaf blowers, gas-powered equipment. No data journalism, no city scorecards, no consumer guidance.
Clamor (Substack: clamoring.substack.com) — Chris Berdik’s newsletter on noise. Good editorial voice, but infrequent updates, no data infrastructure, no interactive maps, no automation. One person writing occasionally. Gap: this is the closest competitor in editorial terms, but it’s a solo newsletter with no data pipeline.
Silencio (Web3) — Crowdsourced noise mapping with crypto incentives. Gimmicky, Web3 baggage, limited real adoption.

Key insight: Nobody is combining government noise data + complaint analytics + health science + product guidance into one beautiful, automated site with a distinct voice. The closest competitor (Clamor) is a single writer with no data infrastructure. HowLoud sells B2B to real estate; they don’t serve consumers directly with content.

Data Sources Found

Free Government APIs (US)

BTS National Transportation Noise Map — https://maps.dot.gov/NTAD_Data/ — Full US transportation noise data, downloadable as GIS layers. Aviation + road noise. Free, public domain.
NYC 311 Noise Complaints (SODA API) — https://data.cityofnewyork.us/Social-Services/311-Noise-Complaints/p5f6-bkga — SODA API, real-time, 2M+ records. Includes complaint type, location, resolution time. Free, no auth required for basic queries.
EPA AirNow API — Can cross-reference air quality with noise corridors (co-polluted areas).

Free Government APIs (EU)

EEA Noise Data (Environmental Noise Directive) — https://noise.discomap.eea.europa.eu/ — ArcGIS REST service with noise contours, exposure data, quiet areas for 32 European countries. Free.
EEA Datahub — Population exposure statistics by city: what % of residents exposed to >55dB, >65dB road/rail/air noise.
Defra (UK) — Strategic noise maps for England: road, rail, industry. Open data.

Free Government APIs (Other)

Dublin City Council Sonitus API — Real-time noise + air quality monitoring. Free, Creative Commons.
Taiwan EPA Noise Monitoring — https://data.gov.tw/en/datasets/28185 — Station-level noise data. Free.

Academic/Health Sources

WHO Noise Guidelines — https://www.who.int/europe/ — Evidence review on noise and health effects.
BMJ Practice Pointer (2025) — “The impact of noise pollution on health” — comprehensive clinical review. 12,000 premature deaths in Europe annually from noise.
PubMed/PMC — Transportaton noise and cardiovascular disease meta-analyses. Rich citation material for health content.

Community/Crowdsourced

OpenStreetMap noise approximation — https://github.com/lukasmartinelli/osm-noise-pollution — Open source model approximating noise from OSM road/building data. MIT license.
Noise Score (Boston) — Community noise research tool.

SEO Analysis

Keywords with content gaps:
- “noise levels in [city name]” — highly searched by renters/buyers, weak organic results
- “quietest neighborhoods [city]” — massive demand, most results are generic listicles with no data
- “noise pollution health effects” — WHO/BMJ data exists but no consumer-friendly synthesis
- “soundproofing apartment” — $17B acoustic insulation market, high commercial intent
- “noise complaint data [city]” — 311 data exists but nobody visualizes it beautifully
- “how loud is my neighborhood” — HowLoud dominates but has no free content layer
Search volume signals: “noise pollution” gets 40K+ monthly searches. “Soundproofing” gets 27K+. Long-tail “quietest neighborhoods in [city]” gets thousands per city.
Content gap: No authoritative data journalism site synthesizing government noise data with health science and consumer advice.

Communities

r/Noise (13K+ members, growing)
r/misophonia (150K+ members)
r/soundproofing (30K+ members)
r/ApartmentHacks, r/FirstTimeHomeBuyer — noise is a top concern in comments
Facebook: Quiet Communities groups, neighborhood noise complaint groups
Toronto noise advocacy group (active, press coverage)
NPR covered “the growing movement against noise pollution” (2023) — mainstream interest

Image/Graphic Feasibility

Noise heatmaps — Can generate beautiful interactive and static heatmaps from BTS/EEA geospatial data using deck.gl or Mapbox
City scorecards — Data visualization cards (like air quality index cards) with noise levels, health risk tier, complaint trends
Before/after soundproofing illustrations — AI-generated room cross-sections showing sound paths
Health infographics — dB scale with health effects at each level (WHO data), beautifully designed
Complaint trend charts — Time series of 311 data showing seasonal patterns, neighborhood comparisons
“Quietest streets” maps — Beautiful cartography showing green-to-red noise gradients

Market Size & Monetization Signals

Acoustic insulation market: $16.97B (2025) → $21.36B (2030), 4.7% CAGR
Noise-canceling headphone market: $18B+ and growing 8.6% CAGR
Soundproofing products on Amazon: Massive affiliate category (acoustic panels $20-200, white noise machines $20-80, soundproof curtains $30-100, window inserts $200-500)
Real estate: Noise is the #1 complaint to 311 in most cities. Renters and buyers desperately want noise data before signing leases.
HowLoud charges for API access — B2B SaaS model validates the data has value
Clamor Substack — Has paid tier, proving editorial noise content can monetize