County profile
San Juan Municipio, Puerto Rico Community Health Profile
Environmental risk, disease burden, provider access, and SDOH scores for community health needs assessment and service line planning. Fused from EPA, CDC, CMS, and Census data into a single free view.
Opportunity Score
Env
0
−50 vs U.S. mean
Disease
N/A
Provider
4
−47 vs U.S. mean
SDOH
N/A
Specific health risk patterns
San Juan Municipio, PR: 1 specific risk pattern triggered
Each pattern below combines a specific environmental exposure with a population that is more vulnerable to that exposure. When both are present at meaningful levels in San Juan Municipio, the pattern triggers. These are the most concrete data points for documenting a significant health need in a Community Health Needs Assessment and for planning where services or community investment would land hardest.
Internally, we call these “Compound Signals.” Each is a versioned, weighted composite scored against the national distribution. The full formula and citations live on the methodology page.
2.00% customer-hours of outage exposure against 3,696 DME-dependent Medicare beneficiaries (48.4 per 1k).
Power outage risk × Electricity-dependent medical population
Defend this finding — full lineage to source data6 sources cited
Outage VulnerabilitySan Juan Municipio: 70/100 (elevated above the 70th-percentile threshold)
San Juan Municipio: 70/100 (elevated above the 70th-percentile threshold)
Summer heat × DOE/ORNL outage burden × emPOWER electricity-dependent Medicare × CHD/COPD prevalence × pre-1980 housing AC proxy. The compound that no aggregator surfaces.
Methodology. Combines structural heat exposure with an outage-burden track record AND a population uniquely harmed by outages (electricity-dependent DME) AND comorbidities that amplify outage harm (CHD/COPD) AND a housing-stock proxy for AC penetration. The pre-1980 housing leg is currently null pending Census ACS B25034 derivation; the score still computes from 4 of 5 components.
Threshold. Elevated when score ≥ 70th national percentile across all US counties evaluated for this signal
Peer set. 3,050 of 3,222 US counties (DOE EAGLE-I coverage); Alaska + sparsely-served rural may have no signal
Evidence base
- · McBrien H, Casey JA. 'Power outages and respiratory hospitalization risk in the US.' PLOS Medicine 2026 (8+ hour county outages → respiratory hospitalization RR 1.05).
- · Stone B et al. 'Compound climate and infrastructure events.' Environmental Science & Technology 2023 (heat × blackout doubles all-cause mortality in modeling; Phoenix worst-case ~13,000 deaths).
- · Brelsford C et al. 'A dataset of recorded electricity outages by US county 2014–2022.' Scientific Data 2024 (validates DOE/ORNL EAGLE-I).
Components (5)
Mean of the daily maximum temperature across the meteorological summer (June–August).
NOAA — Applied Climate Information System (ACIS) — RCC-ACIS
Vintage: Multi-year mean (2018–2023 typical) · Refresh: Monthly · Lag: Current year
How it's measured. NOAA ACIS aggregates GHCN-Daily station observations to county-level summer (JJA) daily-max means using inverse-distance weighting. Smooths year-to-year noise; captures the structural heat profile.
Coverage. All 3,222 US counties
32.3M customer-hours
Total customer-hours of electrical outage in the county for the year, summed from 15-minute interval data.
DOE / ORNL — EAGLE-I — Environment for Analysis of Geo-Located Energy Information
Vintage: Annual rollup of 15-minute interval data · Refresh: Annual · Lag: 1 year
Source page →DOI: 10.6084/m9.figshare.24237376
How it's measured. DOE/ORNL aggregates utility-reported 15-minute outage counts across ~93% of US electricity customers, stitched into a continuous county-level outage timeline. Validated against utility filings in Brelsford et al, Scientific Data 2024.
Caveat. Excludes some smaller cooperatives; the 7% missing customers are concentrated in rural Alaska and parts of the rural West.
Coverage. 3,050 of 3,222 US counties (AK + sparsely-served rural may have no block)
48.4 per 1,000 Medicare benes
Rate of Medicare beneficiaries using power-dependent durable medical equipment (oxygen concentrators, ventilators, IV pumps, hospital beds) per 1,000 county beneficiaries.
HHS / ASPR — emPOWER Map — Medicare DME claims
Vintage: Current month · Refresh: Monthly · Lag: Same month
How it's measured. HHS ASPR derives power-dependent DME counts from Medicare claims for HCPCS codes covering ventilators, suction pumps, oxygen concentrators, NPWT pumps, and infusion pumps. The population most directly harmed by sustained outages.
Caveat. Same 1–10 masking as the dialysis rate. Underestimates total power-dependent population by Medicaid + commercial-insured + uninsured exclusion.
Coverage. All 3,222 US counties
Coronary heart disease + COPD blend15%
60/40 dominant/secondary percentile blend of CHD and COPD prevalence.
Methodology. Outage-vulnerability cluster — the conditions most directly harmed when a sustained outage halts both CPAP/BiPAP and rescue-medication workflows.
Components (2)
Percent of adults age 18+ self-reporting coronary heart disease diagnosis.
CDC — PLACES — Local Data for Better Health
Vintage: PLACES 2022–2023 · Refresh: Monthly · Lag: 1–2 years
How it's measured. PLACES small-area estimation from BRFSS self-report. Self-reported CHD undercounts asymptomatic disease.
Coverage. All 3,222 US counties
Percent of adults age 18+ self-reporting chronic obstructive pulmonary disease diagnosis.
CDC — PLACES — Local Data for Better Health
Vintage: PLACES 2022–2023 · Refresh: Monthly · Lag: 1–2 years
How it's measured. PLACES small-area estimation from BRFSS self-report. Underestimates true prevalence by an unknown factor since many cases go undiagnosed in low-access areas.
Coverage. All 3,222 US counties
57.0%
Percent of housing units built before 1980 — a proxy for central air conditioning penetration (post-1980 codes typically include central AC).
Census Bureau — American Community Survey — Table B25034 (Year Structure Built)
Vintage: ACS 5-Year 2019–2023 · Refresh: Quarterly · Lag: 1 year
How it's measured. Sum of B25034 categories for housing units built 1979 and earlier, divided by total occupied units. Used as a proxy for the share of housing without central AC; the post-1978 lead-paint ban and the post-1980 construction-code uplift roughly coincide.
Caveat. Currently null in the production JSON pending pipeline derivation (methodology v1.8.0). Outage Vulnerability score still computes from 4 of 5 components.
Coverage. All 3,222 US counties (when populated)
3 signals evaluated. See all signal methodologies →
Where San Juan Municipio stands
Health risks here sit near national averages
San Juan Municipio, Puerto Rico sits near the bottom of the national risk distribution across all four major health-risk areas. Pollution exposure, chronic disease rates, doctor access, and social and economic conditions are all better than most U.S. counties. Communities at this end of the spectrum are useful reference points — they help county health planners and CHNA authors understand what a relatively low-need profile looks like across all four dimensions at once.
Methodology: when three or more of the four major health-risk areas (pollution, chronic disease, doctor access, social and economic conditions) score above the 70th national percentile, we call the pattern “multi-pillar convergence.” The scoring approach and citations live on the methodology page.
Risk profile
San Juan Municipio compared to Puerto Rico and the U.S. average
Four health-risk scores on a 0-100 scale, where 50 is the U.S. average. A higher score means that area is a stronger contributor to community health risk.
Environmental Risk (0) and Provider Gap (4) are at or better than the U.S. average.
- San Juan Municipio
- Puerto Rico state mean
- U.S. mean (50)
- Signal threshold (70)
Current Conditions
Today's air quality, fires, and weather alerts
Live operational data for San Juan Municipio: real-time AQI from EPA AirNow, active fires from NIFC, and any National Weather Service advisories. Updated daily.
Environmental Factors
Air, water, and exposure indicators
Top environmental indicators for San Juan Municipio with state and national benchmarks. Full profile covers 40+ metrics on the platform.
| Indicator | San Juan Municipio | PR avg | US avg |
|---|---|---|---|
Traffic Proximity EJSCREEN | 2,969,040 index ▲ +522% vs PR | 477,197 | 291,320 |
Superfund Proximity EPA EJSCREEN | 0.00 score ▼ -100% vs PR | 0.31 | 0.16 |
Outage Burden
When the grid goes dark
DOE/ORNL EAGLE-I customer-hours-out for San Juan Municipio in 2024. The fraction is population-normalized via the Maximum Customer Count denominator (Brelsford et al, Sci Data 2024) so it's directly comparable across counties of any size.
Source: DOE/ORNL EAGLE-I (figshare 10.6084/m9.figshare.24237376). Latest year shipped: 2024. Coverage: 3,050 of 3,222 US counties; AK and some sparsely-served rural counties may have no data. Full methodology →
Vulnerable Medicare Population
Who needs the grid to stay alive
Medicare beneficiaries in San Juan Municipio who depend on electricity for dialysis, oxygen, or other powered medical equipment. From the HHS emPOWER program, which CMS publishes monthly so emergency managers know who to find first when the power goes out.
| Population | Count | Per 1,000 Medicare |
|---|---|---|
Total Medicare beneficiaries Denominator | 76,304 | — |
Electricity-dependent (any DME) Ventilators, oxygen concentrators, IV pumps, motorized wheelchairs | 3,696 | 48.4 ▼ -6.7% vs PR |
Dialysis-dependent ESRD beneficiaries needing in-center or home dialysis | 187 | 2.45 ▲ +10% vs PR |
Oxygen-dependent Home oxygen concentrators (outage-vulnerable) | 328 | 4.3 ▼ -26% vs PR |
Source: HHS emPOWER Map (ArcGIS county layer), May 2026. Counts of 1–10 are masked as “≤10” per HHS privacy rules; per-1,000 rates are derived and still respect the privacy floor. Full methodology →
Provider Supply
Specialty physician density per 100,000 residents
Active providers in San Juan Municipio from the CMS National Plan and Provider Enumeration System (NPPES). Compared to the U.S. average for each specialty. Adjacency adjustment is applied separately in the Provider Gap pillar score.
| Specialty | San Juan Municipio | US avg |
|---|---|---|
Primary Care Family medicine, internal medicine, general practice, pediatrics. | 208.8 per 100k ▲ +60% vs US | 130.4 |
Cardiology Cardiovascular disease, electrophysiology, interventional cardiology. | 12.7 per 100k ▲ +5.2% vs US | 12.1 |
Pulmonology Respiratory disease specialists — relevant to PM2.5 and wildfire smoke exposure. | 5.9 per 100k ▼ -2.0% vs US | 6.0 |
Psychiatry Mental health prescribers; complements behavioral health access. | 16.2 per 100k ▼ -13% vs US | 18.7 |
Oncology / Hematology Cancer specialists. | 5.0 per 100k ▼ -22% vs US | 6.4 |
Neurology Neurological disease specialists. | 5.9 per 100k ▼ -25% vs US | 7.9 |
Source: CMS National Plan and Provider Enumeration System (NPPES). Counts reflect providers with a primary practice address in San Juan Municipio; specialty is taken from the provider's primary NUCC taxonomy code.
Pro analytical view
What drives this county's scores
The flagged signals and service-line opportunities for San Juan Municipio, plus the methodology decomposition behind each score. Visible to Pro, Consultant Studio, and Enterprise tiers.
Where to focus
Pro feature
Top flagged signals + service lines are a Pro feature
See how each signal's components blend into its final score, and which signals + service lines this county should prioritize. Available on Professional, Consultant Studio, and Enterprise.
Score decomposition
Each named signal's component breakdown with weights. The bar length is the component's percentile rank; the parenthetical is its weight in the final blend.
Pro feature
Score decomposition is a Pro feature
See how each signal's components blend into its final score, and which signals + service lines this county should prioritize. Available on Professional, Consultant Studio, and Enterprise.
Tract drill-down
Census tracts inside San Juan Municipio
Pro feature
Tract-level drill-down is a Pro feature
See how each signal's components blend into its final score, and which signals + service lines this county should prioritize. Available on Professional, Consultant Studio, and Enterprise.
On the full platform
What else is available for San Juan Municipio
The page above is a subset. The free Community account unlocks the full single-county profile: every indicator, every data source, demographics, historical trends, and mortality data. Professional unlocks multi-county comparison, compound signal analysis, service line rankings, and consultant-ready PDF reports.
Full Environmental Profile
All 40+ environmental metrics including toxic releases, hazardous site proximity, PFAS detection, pesticide exposure, and climate stress indicators.
Service Line Opportunities
See how San Juan Municipio ranks for respiratory, oncology, cardiovascular, renal, endocrine, and behavioral health service line opportunity.
Multi-County Comparison
Compare San Juan Municipio side-by-side with neighboring counties across every dimension.
Trend Analysis
5-year sparklines for health outcomes, SDOH measures, and mortality rates so you can see where the county is heading, not just where it is today.
PDF Report Export
Generate a consultant-ready environmental health briefing for San Juan Municipio with methodology citations. Drops straight into a CHNA or grant application.
Nearby Counties
Counties bordering San Juan Municipio
Adjacent county profiles with their own scores and environmental health data. Source: Census Bureau County Adjacency File.
Guaynabo Municipio
Puerto Rico
10
Low
Caguas Municipio
Puerto Rico
7
Low
Cataño Municipio
Puerto Rico
2
Low
Aguas Buenas Municipio
Puerto Rico
1
Low
Toa Baja Municipio
Puerto Rico
1
Low
Carolina Municipio
Puerto Rico
1
Low
Data sources: EPA AQS, EPA EJSCREEN, EPA TRI, CDC PLACES, CDC WONDER, CMS NPPES, Census ACS, County Health Rankings, NOAA ACIS, NCI State Cancer Profiles. Every score on this page is derived from publicly available federal data, fused by the Banana Analytics pipeline.
Methodology: See the full scoring methodology (v1.2.0) for weights, sensitivity analysis, and validation against county-level mortality data.
Last refreshed: May 28, 2026