County profile
Meigs County, Ohio 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
35
−15 vs scale midpoint
Disease
88
+38 vs scale midpoint
Provider
25
−25 vs scale midpoint
SDOH
72
+22 vs scale midpoint
Specific health risk patterns
Meigs County, OH: 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 Meigs 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.
PM2.5 averages 7.5 µg/m³ against an asthma + COPD prevalence of 11.6% + 12.9%.
Air pollution exposure × Respiratory-vulnerable population
Defend this finding — full lineage to source data5 sources cited
Respiratory BurdenMeigs County: 93/100 (elevated above the 70th-percentile threshold)
Meigs County: 93/100 (elevated above the 70th-percentile threshold)
PM2.5 exposure × respiratory disease prevalence × pulmonology access deficit. Surfaces counties where chronic air-quality exposure lands on a population with elevated asthma/COPD and inadequate specialty access.
Methodology. Each leg is converted to a national percentile rank before weighting. The composite is then itself rank-percentiled to produce the 0–100 published score. 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)
Evidence base
- · Pope CA et al. 'Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution.' JAMA 2002.
- · Schraufnagel DE et al. 'Air pollution and noncommunicable diseases.' Chest 2019 (American Thoracic Society + ERS joint review).
Components (3)
7.5 µg/m³
Yearly average fine particulate matter (PM2.5) concentration at ground level, in micrograms per cubic meter.
EPA — Air Quality System (AQS) + EJSCREEN modeled fallback
Vintage: AQS 2016–2025; EJSCREEN modeled 2024 · Refresh: AQS monthly; EJSCREEN quarterly · Lag: AQS: 6–18 months. EJSCREEN: 1 year.
How it's measured. EPA AQS reports monitor-network annual means where a county hosts a regulatory monitor. For counties without a monitor, the platform falls back to EPA EJSCREEN modeled PM2.5 (a downscaled NAAQS-grade product) so every county has a value.
Caveat. AQS undercounts wildfire-attributable PM2.5 by 10–30% in fire-affected counties; the platform reports wildfire smoke separately via Stanford Childs/Burke.
Coverage. All 3,222 US counties (mix of monitored + modeled)
Asthma + COPD prevalence blend30%
60/40 dominant/secondary percentile blend of asthma and COPD prevalence — the higher-percentile condition gets 60%, the lower gets 40%.
Methodology. The dominant/secondary blend ensures counties with both conditions elevated score higher than those with only one — a cardiometabolic-style cluster signal that a max() or simple average would miss. Introduced in methodology v1.1.0 to replace the original max() rule across all multi-condition disease components.
Components (2)
11.6%
Percent of adults age 18+ self-reporting current asthma diagnosis.
CDC — PLACES — Local Data for Better Health
Vintage: PLACES 2022–2023 (BRFSS source year ≈ 2 years prior) · Refresh: Monthly (PLACES release cadence) · Lag: 1–2 years
How it's measured. PLACES applies multilevel small-area estimation to BRFSS adult survey responses, producing county-level prevalence estimates with model-based uncertainty intervals. Self-reported, not provider-confirmed.
Coverage. All 3,222 US counties
12.9%
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
Pulmonology access deficit30%
Inverted national percentile rank of pulmonologists per 100K, with a 50/50 in-county/neighbor-county adjacency adjustment.
Methodology. Inversion turns 'fewer providers' into a higher deficit score (so the signal weights point the same direction as exposure). The 50/50 adjacency adjustment uses Census Bureau county-adjacency files to reduce false positives where a county borders a major medical center: a small county next to Houston shouldn't read as 'no pulmonology' just because the practice happens to sit across the county line.
Components (2)
4.5 providers / 100K
Active pulmonology specialists practicing in the county, normalized to population.
CMS — NPPES — National Plan and Provider Enumeration System
Vintage: Current month (NPPES is registration-time data) · Refresh: Monthly · Lag: Same month
How it's measured. NPPES registry filtered to active pulmonology taxonomy codes, geocoded to practice address, summed per county, divided by Census population estimate.
Caveat. NPPES is registration-time data, not practice attestation — providers may have moved or retired without updating their record. The 50/50 adjacency adjustment in the access deficit derivation reduces but does not eliminate this noise.
Coverage. All 3,222 US counties
4.5 providers / 100K
Active pulmonology specialists practicing in the county, normalized to population.
CMS — NPPES — National Plan and Provider Enumeration System
Vintage: Current month (NPPES is registration-time data) · Refresh: Monthly · Lag: Same month
How it's measured. NPPES registry filtered to active pulmonology taxonomy codes, geocoded to practice address, summed per county, divided by Census population estimate.
Caveat. NPPES is registration-time data, not practice attestation — providers may have moved or retired without updating their record. The 50/50 adjacency adjustment in the access deficit derivation reduces but does not eliminate this noise.
Coverage. All 3,222 US counties
5 signals near threshold: Outage Vulnerability (67) · Runoff Burden (65) · Smoke Burden (61) · Heat Vulnerability (58) · Heat-Dialysis Vulnerability (55)
8 signals evaluated. See all signal methodologies →
Where Meigs County stands
2 of 4 displayed scores reach the screening threshold
Meigs County, Ohio has these published scores: Environmental Risk 35.4/100; Disease Burden 87.7/100; Provider Gap 25.3/100; SDOH Composite 71.7/100. 2 of the 4 published scores reach the screening threshold of 70. Disease Burden summarizes selected modeled health measures. It is different from the rate of new cancer diagnoses and can miss disease that has never been diagnosed. These weighted scores support screening and comparison; a score of 70 does not mean that 70% of counties have lower scores.
Methodology: when three or more of the four major health-risk areas (pollution, chronic disease, doctor access, social and economic conditions) have displayed scores of at least 70/100, we call the pattern “multi-pillar convergence.” The scoring approach and citations live on the methodology page.
Risk profile
Meigs County compared to Ohio
Four scores on a 0–100 scale. Higher values indicate greater relative burden or need within each measure. The reference line at 50 marks the scale midpoint.
Disease Burden (88) and SDOH Composite (72) are at or above the screening threshold of 70/100.
Environmental Risk (35) and Provider Gap (25) are at or below the scale midpoint of 50/100.
- Meigs County
- Ohio state mean
- Scale midpoint (50)
- Signal threshold (70)
Current Conditions
Today's air quality, fires, and weather alerts
Live operational data for Meigs County: 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 Meigs County with state and national benchmarks. Full profile covers 40+ metrics on the platform.
These indicators describe environmental conditions and potential exposure. They are not a complete record of environmental incidents in Meigs County and do not establish the cause of an individual illness. Check each measure's source and reporting period in the data-source reference and review the scoring methods.
| Indicator | Meigs County | OH avg | US avg |
|---|---|---|---|
PM2.5 (annual mean) EPA AQS / EJSCREEN | 7.5 µg/m³ ▼ -2.7% vs OH | 7.7 | 7.4 |
Ozone EPA AQS / EJSCREEN | 55.7 ppb ▼ -8.9% vs OH | 61.1 | 57.1 |
Traffic Proximity EJSCREEN | 31,702 index ▼ -89% vs OH | 283,393 | 291,320 |
Days Above 95°F NOAA ACIS | 6 days/yr ▲ +141% vs OH | 2 | 25 |
Superfund Proximity EPA EJSCREEN | 0.04 score ▼ -49% vs OH | 0.08 | 0.16 |
Drinking Water Violations EPA EJSCREEN | 1.97 score ▲ +54% vs OH | 1.28 | 3.39 |
PFAS in sampled water systems
EPA UCMR5 observations for systems associated with these counties through reported service ZIP codes. These results are displayed separately and do not contribute to the Environmental Risk score.
Loading sampled-system observations…
How Superfund proximity contributes
The 2024 EJSCREEN proximity indicator is 0.0407. It uses distances to proposed/final National Priorities List and Superfund Alternative Approach sites within 10 km. This is proximity context, not a measurement of heavy-metal exposure or illness.
The score without this component is 35.5; with it, 35.4. Its effective weight is 6.56%. The difference reflects methodology, not changed local conditions.
Component weights, scaling and limitationsWildfire-Attributable Air Quality
Smoke PM2.5 the EPA doesn't count
Stanford peer-reviewed wildfire-attributable PM2.5 for Meigs 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.
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 Meigs 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.
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 Meigs County, 2010–2026. Cumulative + last 5 years of recorded weather events with deaths, injuries, and damages.
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 Meigs County, normalized to land area and ranked nationally. Animal Units (AU) follow the EPA federal definition under 40 CFR §122.23.
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 Meigs 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.
- 1.GLYPHOSATE2.8K kg
- 2.METOLACHLOR & METOLACHLOR-S534 kg
- 3.ACETOCHLOR533 kg
- 4.2,4-D419 kg
- 5.ATRAZINE391 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 Meigs County. Full profile covers 15+ health outcomes plus mortality on the platform.
| Condition | Meigs County | OH avg | US avg |
|---|---|---|---|
Current Asthma % of adults with current asthma | 11.6% ▲ +5.0% vs OH | 11.0% | 10.6% |
COPD % of adults with diagnosed COPD | 12.9% ▲ +42% vs OH | 9.1% | 8.6% |
Diabetes % of adults with diagnosed diabetes | 17.3% ▲ +25% vs OH | 13.8% | 13.7% |
Coronary Heart Disease % of adults with CHD | 10.3% ▲ +30% vs OH | 7.9% | 7.9% |
Depression % of adults ever diagnosed with depression | 27.7% ▲ +6.7% vs OH | 26.0% | 23.1% |
Frequent Mental Distress % of adults with 14+ poor mental health days/month | 20.3% ▲ +13% vs OH | 18.0% | 17.2% |
Vulnerable Medicare Population
Who needs the grid to stay alive
Medicare beneficiaries in Meigs 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.
| Population | Count | Per 1,000 Medicare |
|---|---|---|
Total Medicare beneficiaries Denominator | 5,263 | — |
Electricity-dependent (any DME) Ventilators, oxygen concentrators, IV pumps, motorized wheelchairs | 403 | 76.6 ▲ +33% vs OH |
Dialysis-dependent ESRD beneficiaries needing in-center or home dialysis | 33 | 6.27 ▲ +93% vs OH |
Oxygen-dependent Home oxygen concentrators (outage-vulnerable) | 146 | 27.7 ▲ +49% vs OH |
Source: HHS emPOWER Map (ArcGIS county layer), September 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 Meigs 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.
| Specialty | Meigs County | US avg |
|---|---|---|
Primary Care Family medicine, internal medicine, general practice, pediatrics. | 126.9 per 100k ▼ -2.7% vs US | 130.4 |
Cardiology Cardiovascular disease, electrophysiology, interventional cardiology. | 13.6 per 100k ▲ +13% vs US | 12.1 |
Pulmonology Respiratory disease specialists — relevant to PM2.5 and wildfire smoke exposure. | 4.5 per 100k ▼ -25% vs US | 6.0 |
Psychiatry Mental health prescribers; complements behavioral health access. | 18.1 per 100k ▼ -3.0% vs US | 18.7 |
Oncology / Hematology Cancer specialists. | 4.5 per 100k ▼ -29% vs US | 6.4 |
Neurology Neurological disease specialists. | 9.1 per 100k ▲ +15% vs US | 7.9 |
Source: CMS National Plan and Provider Enumeration System (NPPES). Counts reflect providers with a primary practice address in Meigs 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 Meigs 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 Meigs 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 Meigs 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 Meigs County ranks for respiratory, oncology, cardiovascular, renal, endocrine, and behavioral health service line opportunity.
Multi-County Comparison
Compare Meigs 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 Meigs County with methodology citations. Drops straight into a CHNA or grant application.
Nearby Counties
Counties bordering Meigs County
Adjacent county profiles with their own scores and environmental health data. Source: Census Bureau County Adjacency File.
Mason County
West Virginia
62
Elevated
Vinton County
Ohio
61
Elevated
Gallia County
Ohio
60
Elevated
Jackson County
West Virginia
57
Elevated
Wood County
West Virginia
52
Moderate
Athens County
Ohio
35
Below Avg
Related analysis
Deeper reads from our research that connect to the data on this page.
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: September 9, 2026