Banana AnalyticsBANANAANALYTICS

County profile

Glynn County, Georgia 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

54Moderateout of 100

Env

41

−9 vs U.S. mean

Disease

53

+3 vs U.S. mean

Provider

80

+30 vs U.S. mean

SDOH

42

−8 vs U.S. mean

FIPS: 13127Population: 86,172Risk overview: Near national averages

Specific health risk patterns

Glynn County, GA: 3 specific risk patterns 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 Glynn County, 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.

Industrial Burden· 84Highlow confidence

187,545,462 lbs of TRI-reported industrial releases (34,156,131 lbs of carcinogens).

Industrial emissions exposure × Surrounding population

Defend this finding — full lineage to source data5 sources cited
Industrial Burden

Glynn County: 84/100 (elevated above the 70th-percentile threshold)

TRI facility density × PFAS contamination × pesticide use × total provider access deficit. Captures cumulative industrial environmental load on the surrounding population.

0.35 × percentile(tri_facility_count) + 0.25 × percentile(pfas_severity_score) + 0.20 × percentile(pesticide_total_kg) + 0.20 × percentile(total_provider_access_deficit)

Methodology. Combines three distinct industrial exposure modes (point-source releases, drinking-water contamination, pesticide use) with a generalist provider-access leg since industrial pollution health effects span multiple specialties. Methodology v1.8.0.

Threshold. Elevated when score ≥ 70th national percentile across all US counties evaluated for this signal

Peer set. All US counties evaluated for the signal (~3,222, less coverage gaps)

Components (4)

TRI facility count35%needs review

Number of EPA Toxics Release Inventory (TRI) reporting facilities in the county.

EPAToxics Release Inventory (TRI) via Envirofacts

Vintage: TRI 2023 reporting year · Refresh: Annual · Lag: 18 months

Source page →

How it's measured. Count of facilities reporting any TRI-listed chemical release in the most recent reporting year. TRI thresholds (10K-25K lb manufacturing; 500 lb persistent-bioaccumulative) mean smaller polluters are excluded from this count.

Caveat. TRI is industrial self-report. Underreporting is documented for some sectors and chemicals; the count is a floor, not a ceiling.

Coverage. All 3,222 US counties (zero-inflated; many rural counties = 0)

PFAS contamination severity score25%

Composite 0–100 severity score for per- and polyfluoroalkyl substance (PFAS) contamination in the county's drinking water and environment.

EPAUCMR5 (Unregulated Contaminant Monitoring Rule) + ECHO

Vintage: UCMR5 sampling 2023–2025 · Refresh: Quarterly · Lag: 3–6 months

Source page →

How it's measured. Composite score combining detection frequency, peak concentration relative to EPA Health Advisory Levels, and number of PFAS species detected from UCMR5 public water system sampling and ECHO enforcement records.

Caveat. UCMR5 only samples public water systems serving 3,300+ people; private well users in small or rural communities are not represented.

Coverage. Counties with at least one UCMR5-eligible PWS

Total pesticide use (kg/year)20%

120 kg/year

Total estimated agricultural pesticide use in the county for the year, in kilograms (EPest_HIGH conservative estimate).

USGSPesticide National Synthesis Project (PNSP)

Vintage: PNSP 2019 (preliminary; 2018 unavailable; 2020+ unreleased) · Refresh: Annual when published · Lag: 2–3 years (and the program is on medium-low update reliability)

Source page →

How it's measured. USGS PNSP estimates county-level pesticide application from USDA Census of Agriculture acreage by crop, multiplied by crop-specific application rates from proprietary surveys. EPest_HIGH is the regional-pool imputation that's conservative against undercounting.

Caveat. PNSP funding was nearly cut in 2023 and the program now publishes irregularly. 2018 has no data; 2020+ is unreleased as of methodology v1.8.0. Use with the data-quality note shown on the platform.

Coverage. 3,054 of 3,222 US counties

Total provider access deficit20%

Inverted national percentile rank of total healthcare specialists per 100K, with a 50/50 adjacency adjustment.

100 − [0.5 × percentile(total_specialists_per_100k, this county) + 0.5 × percentile(total_specialists_per_100k, neighbor counties weighted by population)]

Methodology. Same shape as the specialty-specific deficits. Used by Industrial Burden where the relevant access dimension isn't a single specialty (industrial pollution health effects span pulmonary, cardiovascular, oncologic, and developmental medicine).

Components (2)

Total healthcare specialists per 100,000 population50%needs review

All active healthcare specialists in the county, normalized to population.

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month · Refresh: Monthly · Lag: Same month

Source page →

How it's measured. NPPES registry — all specialty taxonomy codes — geocoded to practice address, summed per county, divided by Census population estimate.

Caveat. NPPES is registration-time data, not practice attestation.

Coverage. All 3,222 US counties

Total healthcare specialists per 100,000 populationneighbor adjustedneeds review

All active healthcare specialists in the county, normalized to population.

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month · Refresh: Monthly · Lag: Same month

Source page →

How it's measured. NPPES registry — all specialty taxonomy codes — geocoded to practice address, summed per county, divided by Census population estimate.

Caveat. NPPES is registration-time data, not practice attestation.

Coverage. All 3,222 US counties

Field Burden· 77Highlow confidence

Pesticide intensity at 0.3 kg per sq mi, summer max temperatures averaging 89.9°F.

Pesticide + heat exposure × Farmworker population

Defend this finding — full lineage to source data3 sources cited
Field Burdenneeds review

Glynn County: 77/100 (elevated above the 70th-percentile threshold)

Pesticide intensity × summer heat × farmworker population proxy. Surfaces counties where outdoor agricultural workers face simultaneous heat-illness and pesticide-exposure risk.

Weighted composite of pesticide_density_pct_high + summer_max_temp + farmworker_proxy (component weights documented in the gold pipeline manifest, ticket #90)

Methodology. Demographic identifies the population HRSA 330(g) migrant/seasonal worker centers were created to serve. v1 weights are pending finalization — see ticket #90 — and the score is published with medium confidence pending the curation pass.

Threshold. Elevated when score ≥ 70th national percentile across all US counties evaluated for this signal

Peer set. All US counties evaluated for the signal (~3,222, less coverage gaps)

Components (3)

Pesticide density rank (kg per square mile, EPest_HIGH)weighted leg

1th percentile

National percentile rank of pesticide application intensity per square mile, conservative-against-undercounting (EPest_HIGH) basis.

USGSPesticide National Synthesis Project (PNSP)

Vintage: PNSP 2019 (preliminary) · Refresh: Annual when published · Lag: 2–3 years

Source page →

How it's measured. Total kg / county land area in sq mi, then rank-percentile against all PNSP-covered US counties. EPest_HIGH is the regional-pool imputation that errs against undercounting.

Caveat. PNSP is on medium-low update reliability — see pesticide_total_kg caveat.

Coverage. 3,054 of 3,222 US counties

Average summer maximum temperatureweighted leg

89.9 °F

Mean of the daily maximum temperature across the meteorological summer (June–August).

NOAAApplied Climate Information System (ACIS) — RCC-ACIS

Vintage: Multi-year mean (2018–2023 typical) · Refresh: Monthly · Lag: Current year

Source page →

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

Farmworker exposure proxy (USDA NASS livestock + crop area)weighted legneeds review

Composite proxy for outdoor agricultural worker exposure, derived from USDA NASS livestock counts and crop acreage indicators.

USDANASS — National Agricultural Statistics Service

Vintage: NASS Quick Stats current vintage · Refresh: Annual · Lag: 1–2 years

Source page →

How it's measured. Weighted blend of farmworker-intensive crop acreage and livestock operations, used as a proxy for the population that HRSA 330(g) migrant/seasonal worker centers were created to serve. Direct farmworker counts are unreliable below state level; this proxy is the structural-pattern stand-in.

Coverage. Counties with non-zero ag activity

Heat Vulnerability· 73Highhigh confidence

13 days above 95°F against a heart-disease + diabetes prevalence of 7.9% + 15.3%.

Extreme heat exposure × Heat-vulnerable population

Defend this finding — full lineage to source data5 sources cited
Heat Vulnerability

Glynn County: 73/100 (elevated above the 70th-percentile threshold)

Extreme heat exposure × cardiometabolic comorbidity × cardiology access deficit. Surfaces counties where a hot-day mortality event would land hardest.

0.40 × percentile(summer_max_temp) + 0.30 × percentile(chd_diabetes_blend) + 0.30 × percentile(cardiology_access_deficit)

Methodology. Heat-related cardiovascular mortality is the canonical climate-health linkage. The cardiometabolic blend identifies populations with the comorbidity profile that most amplifies heat-event mortality; the cardiology access leg captures whether the local system can absorb a heat-event surge.

Threshold. Elevated when score ≥ 70th national percentile across all US counties evaluated for this signal

Peer set. All US counties evaluated for the signal (~3,222, less coverage gaps)

Evidence base

  • · Bobb JF et al. 'Heat-related mortality and adaptation to heat in the United States.' Environmental Health Perspectives 2014.
  • · Khatana SAM et al. 'Association of extreme heat with all-cause mortality in the contiguous US.' JAMA Network Open 2022.

Components (3)

Average summer maximum temperature40%

89.9 °F

Mean of the daily maximum temperature across the meteorological summer (June–August).

NOAAApplied Climate Information System (ACIS) — RCC-ACIS

Vintage: Multi-year mean (2018–2023 typical) · Refresh: Monthly · Lag: Current year

Source page →

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

Coronary heart disease + diabetes blend30%

60/40 dominant/secondary percentile blend of CHD and diabetes prevalence.

0.6 × max(percentile(chd), percentile(diabetes)) + 0.4 × min(percentile(chd), percentile(diabetes))

Methodology. Heat-vulnerability cardiometabolic cluster — counties with both conditions elevated face compounding heat-event mortality risk. Same dominant/secondary rule as the asthma+COPD blend.

Components (2)

Coronary heart disease prevalenceweighted leg

7.9%

Percent of adults age 18+ self-reporting coronary heart disease diagnosis.

CDCPLACES — Local Data for Better Health

Vintage: PLACES 2022–2023 · Refresh: Monthly · Lag: 1–2 years

Source page →

How it's measured. PLACES small-area estimation from BRFSS self-report. Self-reported CHD undercounts asymptomatic disease.

Coverage. All 3,222 US counties

Diabetes prevalenceweighted leg

15.3%

Percent of adults age 18+ self-reporting diabetes diagnosis (excludes gestational).

CDCPLACES — Local Data for Better Health

Vintage: PLACES 2022–2023 · Refresh: Monthly · Lag: 1–2 years

Source page →

How it's measured. PLACES small-area estimation from BRFSS self-report. Excludes gestational diabetes per the BRFSS question framing.

Coverage. All 3,222 US counties

Cardiology access deficit30%

Inverted national percentile rank of cardiologists per 100K, with a 50/50 in-county/neighbor-county adjacency adjustment.

100 − [0.5 × percentile(cardiology_per_100k, this county) + 0.5 × percentile(cardiology_per_100k, neighbor counties weighted by population)]

Methodology. Same adjacency-adjusted inversion as pulmonology deficit. Reduces false positives near major cardiac centers.

Components (2)

Cardiologists per 100,000 population50%

10.6 providers / 100K

Active cardiology specialists practicing in the county, normalized to population.

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month · Refresh: Monthly · Lag: Same month

Source page →

How it's measured. NPPES registry filtered to active cardiology taxonomy codes, geocoded to practice address, summed per county, divided by Census population estimate.

Caveat. NPPES is registration-time data, not practice attestation. The 50/50 adjacency adjustment helps but does not eliminate location noise.

Coverage. All 3,222 US counties

Cardiologists per 100,000 populationneighbor adjusted

10.6 providers / 100K

Active cardiology specialists practicing in the county, normalized to population.

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month · Refresh: Monthly · Lag: Same month

Source page →

How it's measured. NPPES registry filtered to active cardiology taxonomy codes, geocoded to practice address, summed per county, divided by Census population estimate.

Caveat. NPPES is registration-time data, not practice attestation. The 50/50 adjacency adjustment helps but does not eliminate location noise.

Coverage. All 3,222 US counties

3 signals near threshold: Outage Vulnerability (65) · Heat-Dialysis Vulnerability (57) · Respiratory Burden (53)

8 signals evaluated. See all signal methodologies →

Where Glynn County stands

Health risks here sit near national averages

Glynn County, Georgia has elevated doctor and specialist shortages — primary care and specialty access rank worse than 80% of U.S. counties. Pollution exposure, chronic disease rates, and social and economic conditions all sit closer to the middle of the national distribution. The issue here is healthcare infrastructure — not enough providers for the population — rather than vulnerability piling up across multiple dimensions. Counties in this profile are candidates for provider-recruitment and capacity-building investment.

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

Glynn County compared to Georgia 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.

Glynn County four-pillar profile20406080100Disease BurdenEnv RiskSDOH StressProvider Gap

Provider Gap (80) is worse than at least 70% of U.S. counties, the largest contributor to community health risk here.

Disease Burden (53) is moderately worse than the U.S. average of 50.

Environmental Risk (41) and SDOH Stress (42) are at or better than the U.S. average.

  • Glynn County
  • Georgia state mean
  • U.S. mean (50)
  • Signal threshold (70)

Current Conditions

Today's air quality, fires, and weather alerts

Live operational data for Glynn County: real-time AQI from EPA AirNow, active fires from NIFC, and any National Weather Service advisories. Updated daily.

Current Air Quality
59Moderate
PM2.5: 13.6 µg/m³ · 2026-05-28
Source: EPA AirNow
Nearest Active Wildfire
Hwy 82
32 km away · 32,031 acres
2 fires within 100 km · 5 within 200 km
Source: NIFC active fire perimeters

Environmental Factors

Air, water, and exposure indicators

Top environmental indicators for Glynn County with state and national benchmarks. Full profile covers 40+ metrics on the platform.

IndicatorGlynn CountyGA avgUS avg
EPA AQS / EJSCREEN
7.8
µg/m³
-8.0% vs GA
8.57.4
EPA AQS / EJSCREEN
52.2
ppb
-2.3% vs GA
53.457.1
Traffic Proximity
EJSCREEN
361,152
index
+101% vs GA
179,769291,320
NOAA ACIS
13
days/yr
-34% vs GA
2025
Superfund Proximity
EPA EJSCREEN
1.04
score
+2832% vs GA
0.040.16
EPA EJSCREEN
5.97
score
+337% vs GA
1.373.39

Wildfire-Attributable Air Quality

Smoke PM2.5 the EPA doesn't count

Stanford peer-reviewed wildfire-attributable PM2.5 for Glynn County. The EPA classifies wildfire smoke as "exceptional events" and excludes it from official AQS monitoring; Childs/Burke fills that gap with daily county-level data.

Annual mean wildfire PM2.5
0.20 µg/m³
2% of the 9 µg/m³ federal annual standard, on top of background air
Smoke days > 55 µg/m³
0
EPA “unhealthy for sensitive groups” threshold · Negligible
Smoke days > 100 µg/m³
0
EPA “unhealthy” threshold · acute exposure days

Source: Childs et al, Environmental Science & Technology 2022 (Harvard Dataverse 10.7910/DVN/DJVMTV). Latest year shipped: 2020. Burke et al, Nature 2023 estimate that the EPA AQS network undercounts wildfire-attributable PM2.5 by 10–30% in fire-affected counties. Coverage is CONUS only. Full methodology →

Outage Burden

When the grid goes dark

DOE/ORNL EAGLE-I customer-hours-out for Glynn County 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.

Customer-hours-out, 2024
0.75%
of all customer-hours in the year · Elevated
Peak customers out
44,591
in a single 15-minute interval · the year's worst quarter-hour
Intervals > 10,000 out
338
count of 15-minute slots with 10k+ customers out · surge events

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 →

Severe Weather History

Recorded storm events and damages

NOAA NCEI Storm Events Database for Glynn County, 2010–2026. Cumulative + last 5 years of recorded weather events with deaths, injuries, and damages.

Total events (20102026)
146
51 in the last 5 years
Deaths · injuries
0· 4
cumulative across all event types
Property + crop damage
$41.5K
cumulative reported damages
Events by type
Thunderstorm87
Other28
Tornado20
Flood11

Source: NOAA NCEI Storm Events Database (full history rollup). NOAA buckets ~50 raw event_type strings into 8 health-relevant categories. Coverage: 3,107 of 3,222 US counties; the absent are typically Alaska boroughs and territories where NOAA codes events as forecast zones rather than counties. Full methodology →

Concentrated Animal Feeding Operations

Livestock density and federal-permit confidence

USDA Census of Agriculture (vintage 2022) animal-unit totals for Glynn County, normalized to land area and ranked nationally. Animal Units (AU) follow the EPA federal definition under 40 CFR §122.23.

CAFO density rank
9thpercentile · Low
National rank of animal units per square mile.
Animal units per sq mi
1.2
Federal CAFO thresholds: 300 AU = “Medium”, 1,000 AU = “Large.” Total AU: 512 across 420 sq mi.
Dominant species
Cattle (beef)
Top contributor to the AU total. Other species may also be present.
Low federal coverage. Likely <20% of large CAFOs federally NPDES-permitted in this state (EPA-IG ~32% national average is heavily skewed toward delegated states).

Source: USDA Census of Agriculture 2022 (head counts) + EPA 40 CFR §122.23 (animal-unit conversion). The CAFO composite deliberately omits NPDES facility counts because federal coverage averages ~32% nationally per EPA-IG and is heavily state-skewed — adding it as a numerator would systematically bias the index toward delegated states. Full methodology →

Pesticide Use

USGS Pesticide National Synthesis

Annual pesticide application rollup for Glynn County from the USGS Pesticide National Synthesis Project. Most recent year on file: 2019. Mass figures use the EPest_HIGH estimate (the conservative-against-undercounting framing); EPest_LOW is also retained on the underlying data.

Density rank (2019)
1thpercentile · Low
National rank of kilograms applied per square mile.
Total mass applied
120 kg
0.3 kg/sq mi across 5 distinct compounds.
Top compounds by mass
  1. 1.2,4-D79 kg
  2. 2.TRICLOPYR21 kg
  3. 3.ATRAZINE10 kg
  4. 4.DICAMBA8 kg
  5. 5.GLYPHOSATE2 kg

Source: USGS Pesticide National Synthesis Project (2019). USGS PNSP nationally; year 2019 is preliminary; 2018 unavailable; 2020+ not released. Update reliability medium-low. Full methodology →

Health Outcomes

Chronic disease prevalence

CDC PLACES model-based prevalence estimates for adults in Glynn County. Full profile covers 15+ health outcomes plus mortality on the platform.

Glynn County chronic disease prevalence vs. CDC PLACES national benchmarksDiabetes11.415.3Cancer (any, excl. skin)7.19.5Coronary heart disease6.07.9Frequent mental distress (14+ days)14.516.4Depression21.119.3COPD6.68.2Stroke3.24.4Current asthma (adults)9.810.1510152025Prevalence (%)
Glynn County adult disease prevalence vs. CDC PLACES national benchmarks, ranked by absolute divergence. Green connectors mark conditions where Glynn County is below the benchmark; terracotta where above.National benchmarkGlynn County
ConditionGlynn CountyGA avgUS avg
Current Asthma
% of adults with current asthma
10.1%
-4.2% vs GA
10.5%10.6%
COPD
% of adults with diagnosed COPD
8.2%
-6.6% vs GA
8.8%8.6%
Diabetes
% of adults with diagnosed diabetes
15.3%
-2.2% vs GA
15.6%13.7%
Coronary Heart Disease
% of adults with CHD
7.9%
+1.8% vs GA
7.8%7.9%
Depression
% of adults ever diagnosed with depression
19.3%
-5.3% vs GA
20.4%23.1%
Frequent Mental Distress
% of adults with 14+ poor mental health days/month
16.4%
-9.8% vs GA
18.2%17.2%

Vulnerable Medicare Population

Who needs the grid to stay alive

Medicare beneficiaries in Glynn County 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.

PopulationCountPer 1,000 Medicare
Total Medicare beneficiaries
Denominator
21,532
Electricity-dependent (any DME)
Ventilators, oxygen concentrators, IV pumps, motorized wheelchairs
907
42.1
-22% vs GA
Dialysis-dependent
ESRD beneficiaries needing in-center or home dialysis
44
2.04
-68% vs GA
Oxygen-dependent
Home oxygen concentrators (outage-vulnerable)
215
10.0
-49% vs GA

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 Glynn County 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.

SpecialtyGlynn CountyUS avg
Primary Care
Family medicine, internal medicine, general practice, pediatrics.
108.3
per 100k
-17% vs US
130.4
Cardiology
Cardiovascular disease, electrophysiology, interventional cardiology.
10.6
per 100k
-12% vs US
12.1
Pulmonology
Respiratory disease specialists — relevant to PM2.5 and wildfire smoke exposure.
4.7
per 100k
-22% vs US
6.0
Psychiatry
Mental health prescribers; complements behavioral health access.
15.3
per 100k
-18% vs US
18.7
Oncology / Hematology
Cancer specialists.
5.9
per 100k
-8.3% vs US
6.4
Neurology
Neurological disease specialists.
5.9
per 100k
-26% vs US
7.9

Source: CMS National Plan and Provider Enumeration System (NPPES). Counts reflect providers with a primary practice address in Glynn County; 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 Glynn County, 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 Glynn County

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 Glynn County

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 Glynn County ranks for respiratory, oncology, cardiovascular, renal, endocrine, and behavioral health service line opportunity.

Multi-County Comparison

Compare Glynn County 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 Glynn County with methodology citations. Drops straight into a CHNA or grant application.

See pricing →

Nearby Counties

Counties bordering Glynn County

Adjacent county profiles with their own scores and environmental health data. Source: Census Bureau County Adjacency File.

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