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County profile

Tipton County, Tennessee 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

51Moderateout of 100

Env

20

−30 vs U.S. mean

Disease

54

+4 vs U.S. mean

Provider

64

+14 vs U.S. mean

SDOH

59

+9 vs U.S. mean

FIPS: 47167Population: 62,015Risk overview: Near national averages

Specific health risk patterns

Tipton County, TN: 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 Tipton 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.

Respiratory Burden· 71Highmedium confidence

PM2.5 averages 7.9 µg/m³ against an asthma + COPD prevalence of 11.3% + 8.9%.

Air pollution exposure × Respiratory-vulnerable population

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

Tipton County: 71/100 (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.

0.40 × percentile(pm25_annual_mean) + 0.30 × percentile(asthma_copd_blend) + 0.30 × percentile(pulmonology_access_deficit)

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)

PM2.5 annual mean concentration40%

7.9 µg/m³

Yearly average fine particulate matter (PM2.5) concentration at ground level, in micrograms per cubic meter.

EPAAir 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.

Source page →

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%.

0.6 × max(percentile(casthma), percentile(copd)) + 0.4 × min(percentile(casthma), percentile(copd))

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)

Current asthma prevalenceweighted leg

11.3%

Percent of adults age 18+ self-reporting current asthma diagnosis.

CDCPLACES — Local Data for Better Health

Vintage: PLACES 2022–2023 (BRFSS source year ≈ 2 years prior) · Refresh: Monthly (PLACES release cadence) · Lag: 1–2 years

Source page →

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

COPD prevalenceweighted leg

8.9%

Percent of adults age 18+ self-reporting chronic obstructive pulmonary 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. 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.

100 − [0.5 × percentile(pulmonology_per_100k, this county) + 0.5 × percentile(pulmonology_per_100k, neighbor counties weighted by population)]

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)

Pulmonologists per 100,000 population50%

4.9 providers / 100K

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

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month (NPPES is registration-time data) · Refresh: Monthly · Lag: Same month

Source page →

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

Pulmonologists per 100,000 populationneighbor adjusted

4.9 providers / 100K

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

CMSNPPES — National Plan and Provider Enumeration System

Vintage: Current month (NPPES is registration-time data) · Refresh: Monthly · Lag: Same month

Source page →

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

6 signals near threshold: Heat-Dialysis Vulnerability (66) · Field Burden (64) · Heat Vulnerability (57) · Smoke Burden (57) · Outage Vulnerability (52) · Industrial Burden (50)

8 signals evaluated. See all signal methodologies →

Where Tipton County stands

Health risks here sit near national averages

Tipton County, Tennessee has elevated doctor and specialist shortages — primary care and specialty access rank worse than 64% 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

Tipton County compared to Tennessee 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.

Tipton County four-pillar profile20406080100Disease BurdenEnv RiskSDOH StressProvider Gap

Disease Burden (54), Provider Gap (64), and SDOH Stress (59) are moderately worse than the U.S. average of 50.

Environmental Risk (20) is at or better than the U.S. average.

  • Tipton County
  • Tennessee state mean
  • U.S. mean (50)
  • Signal threshold (70)

Current Conditions

Today's air quality, fires, and weather alerts

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

Current Air Quality
32Good
PM2.5: 5.8 µg/m³ · 2026-05-28
Source: EPA AirNow
Nearest Active Wildfire
RX SIMMONS SUA
461 km away · 0 acres
0 fires within 100 km · 0 within 200 km
Source: NIFC active fire perimeters

Environmental Factors

Air, water, and exposure indicators

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

IndicatorTipton CountyTN avgUS avg
EPA AQS / EJSCREEN
7.9
µg/m³
+14% vs TN
6.97.4
EPA AQS / EJSCREEN
59.4
ppb
+7.5% vs TN
55.357.1
Traffic Proximity
EJSCREEN
64,205
index
-54% vs TN
138,411291,320
NOAA ACIS
16
days/yr
+78% vs TN
925
Superfund Proximity
EPA EJSCREEN
0.00
score
-100% vs TN
0.080.16
EPA EJSCREEN
0.64
score
-74% vs TN
2.423.39

Wildfire-Attributable Air Quality

Smoke PM2.5 the EPA doesn't count

Stanford peer-reviewed wildfire-attributable PM2.5 for Tipton 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
0.48 µg/m³
5% 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 Tipton 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
0.03%
of all customer-hours in the year · Routine
Peak customers out
3,887
in a single 15-minute interval · the year's worst quarter-hour
Intervals > 10,000 out
0
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 Tipton County, 2010–2026. Cumulative + last 5 years of recorded weather events with deaths, injuries, and damages.

Total events (20102026)
152
46 in the last 5 years
Deaths · injuries
3· 28
cumulative across all event types
Property + crop damage
$109.3M
cumulative reported damages
Events by type
Thunderstorm108
Flood34
Tornado9

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 Tipton County, normalized to land area and ranked nationally. Animal Units (AU) follow the EPA federal definition under 40 CFR §122.23.

CAFO density rank
40thpercentile · Low
National rank of animal units per square mile.
Animal units per sq mi
33.6
Federal CAFO thresholds: 300 AU = “Medium”, 1,000 AU = “Large.” Total AU: 15,295 across 456 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 Tipton 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)
87thpercentile · Elevated
National rank of kilograms applied per square mile.
Total mass applied
208.8K kg
458.2 kg/sq mi across 39 distinct compounds.
Top compounds by mass
  1. 1.GLYPHOSATE53.6K kg
  2. 2.METOLACHLOR & METOLACHLOR-S33.4K kg
  3. 3.DICAMBA21.5K kg
  4. 4.METOLACHLOR-S20.3K kg
  5. 5.METOLACHLOR13.1K 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 Tipton County. Full profile covers 15+ health outcomes plus mortality on the platform.

Tipton County chronic disease prevalence vs. CDC PLACES national benchmarksDepression21.128.7Frequent mental distress (14+ days)14.520.0Diabetes11.414.2COPD6.68.9Current asthma (adults)9.811.3Coronary heart disease6.07.0Cancer (any, excl. skin)7.18.0Stroke3.23.8510152025Prevalence (%)
Tipton County adult disease prevalence vs. CDC PLACES national benchmarks, ranked by absolute divergence. Green connectors mark conditions where Tipton County is below the benchmark; terracotta where above.National benchmarkTipton County
ConditionTipton CountyTN avgUS avg
Current Asthma
% of adults with current asthma
11.3%
+1.5% vs TN
11.1%10.6%
COPD
% of adults with diagnosed COPD
8.9%
-17% vs TN
10.7%8.6%
Diabetes
% of adults with diagnosed diabetes
14.2%
-5.9% vs TN
15.1%13.7%
Coronary Heart Disease
% of adults with CHD
7.0%
-16% vs TN
8.4%7.9%
Depression
% of adults ever diagnosed with depression
28.7%
-2.8% vs TN
29.5%23.1%
Frequent Mental Distress
% of adults with 14+ poor mental health days/month
20.0%
-0.6% vs TN
20.1%17.2%

Vulnerable Medicare Population

Who needs the grid to stay alive

Medicare beneficiaries in Tipton 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
12,684
Electricity-dependent (any DME)
Ventilators, oxygen concentrators, IV pumps, motorized wheelchairs
795
62.7
-9.7% vs TN
Dialysis-dependent
ESRD beneficiaries needing in-center or home dialysis
55
4.34
+12% vs TN
Oxygen-dependent
Home oxygen concentrators (outage-vulnerable)
209
16.5
-18% vs TN

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 Tipton 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.

SpecialtyTipton CountyUS avg
Primary Care
Family medicine, internal medicine, general practice, pediatrics.
114.1
per 100k
-12% vs US
130.4
Cardiology
Cardiovascular disease, electrophysiology, interventional cardiology.
11.4
per 100k
-5.5% vs US
12.1
Pulmonology
Respiratory disease specialists — relevant to PM2.5 and wildfire smoke exposure.
4.9
per 100k
-19% vs US
6.0
Psychiatry
Mental health prescribers; complements behavioral health access.
14.7
per 100k
-21% vs US
18.7
Oncology / Hematology
Cancer specialists.
8.2
per 100k
+27% vs US
6.4
Neurology
Neurological disease specialists.
6.5
per 100k
-18% vs US
7.9

Source: CMS National Plan and Provider Enumeration System (NPPES). Counts reflect providers with a primary practice address in Tipton 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 Tipton 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 Tipton 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 Tipton 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 Tipton County ranks for respiratory, oncology, cardiovascular, renal, endocrine, and behavioral health service line opportunity.

Multi-County Comparison

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

See pricing →

Nearby Counties

Counties bordering Tipton 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