Banana AnalyticsBANANAANALYTICS

County profile

Hood County, Texas 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

60Elevatedout of 100

Env

70

+20 vs U.S. mean

Disease

42

−8 vs U.S. mean

Provider

78

+28 vs U.S. mean

SDOH

49

−1 vs U.S. mean

FIPS: 48221Population: 67,774Risk overview: 2 of 4 major risks elevated

Specific health risk patterns

Hood County, TX: 2 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 Hood 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.

Field Burden· 96Very Highlow confidence

Pesticide intensity at 10.5 kg per sq mi, summer max temperatures averaging 93.5°F.

Pesticide + heat exposure × Farmworker population

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

Hood County: 96/100 (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

23th 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

93.5 °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· 71Highhigh confidence

72 days above 95°F against a heart-disease + diabetes prevalence of 7.4% + 12.5%.

Extreme heat exposure × Heat-vulnerable population

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

Hood County: 71/100 (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%

93.5 °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

7.4%

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

12.5%

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%

9.3 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

9.3 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: Runoff Burden (63) · Heat-Dialysis Vulnerability (58) · Outage Vulnerability (52)

8 signals evaluated. See all signal methodologies →

Where Hood County stands

2 of 4 major health-risk areas are worse than national averages

In Hood County, Texas, two major health-risk areas stand out as worse than the national average: pollution and environmental hazards (worse than 70% of U.S. counties) and doctor and specialist access (worse than 78% of U.S. counties). Residents face elevated pollution exposure while also having fewer doctors and specialists nearby. This pattern is common in rural areas with industries like natural-resource extraction, large-scale agriculture, or older industrial sites, where exposure is high but clinical follow-up is scarce.

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

Hood County compared to Texas 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.

Hood County four-pillar profile20406080100Disease BurdenEnv RiskSDOH StressProvider Gap

Environmental Risk (70) and Provider Gap (78) are worse than at least 70% of U.S. counties, the largest contributors to community health risk here.

Disease Burden (42) and SDOH Stress (49) are at or better than the U.S. average.

  • Hood County
  • Texas state mean
  • U.S. mean (50)
  • Signal threshold (70)

Current Conditions

Today's air quality, fires, and weather alerts

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

Current Air Quality
19Good
PM2.5: 3.5 µg/m³ · 2026-05-28
Source: EPA AirNow
Nearest Active Wildfire
RX Red Slough
328 km away · 0 acres
0 fires within 100 km · 0 within 200 km
Source: NIFC active fire perimeters
Active Weather Alerts
Air Quality Alert
Air Quality Alert issued May 27 at 2:45PM CDT by NWS Fort Worth TX
Source: National Weather Service

Environmental Factors

Air, water, and exposure indicators

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

IndicatorHood CountyTX avgUS avg
EPA AQS / EJSCREEN
8.1
µg/m³
+6.3% vs TX
7.67.4
EPA AQS / EJSCREEN
62.2
ppb
+5.0% vs TX
59.257.1
Traffic Proximity
EJSCREEN
111,419
index
-33% vs TX
167,061291,320
NOAA ACIS
72
days/yr
-9.4% vs TX
7925
Superfund Proximity
EPA EJSCREEN
0.00
score
-100% vs TX
0.040.16
EPA EJSCREEN
10.77
score
+19% vs TX
9.093.39

Wildfire-Attributable Air Quality

Smoke PM2.5 the EPA doesn't count

Stanford peer-reviewed wildfire-attributable PM2.5 for Hood 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
0.66 µg/m³
7% 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 Hood 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
0.02%
of all customer-hours in the year · Routine
Peak customers out
1,515
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 Hood County, 2010–2026. Cumulative + last 5 years of recorded weather events with deaths, injuries, and damages.

Total events (20102026)
177
56 in the last 5 years
Deaths · injuries
6· 54
cumulative across all event types
Property + crop damage
$151.4M
cumulative reported damages
Events by type
Thunderstorm146
Flood22
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 Hood County, normalized to land area and ranked nationally. Animal Units (AU) follow the EPA federal definition under 40 CFR §122.23.

CAFO density rank
58thpercentile · Moderate
National rank of animal units per square mile.
Animal units per sq mi
76.5
Federal CAFO thresholds: 300 AU = “Medium”, 1,000 AU = “Large.” Total AU: 32,206 across 421 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 Hood 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)
23thpercentile · Low
National rank of kilograms applied per square mile.
Total mass applied
4.4K kg
10.5 kg/sq mi across 23 distinct compounds.
Top compounds by mass
  1. 1.2,4-D2.5K kg
  2. 2.GLYPHOSATE879 kg
  3. 3.CHLORPYRIFOS224 kg
  4. 4.ATRAZINE185 kg
  5. 5.DICAMBA171 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 Hood County. Full profile covers 15+ health outcomes plus mortality on the platform.

Hood County chronic disease prevalence vs. CDC PLACES national benchmarksCancer (any, excl. skin)7.110.4Depression21.122.6Coronary heart disease6.07.4Diabetes11.412.5Frequent mental distress (14+ days)14.515.5COPD6.67.4Stroke3.23.7Current asthma (adults)9.8510152025Prevalence (%)
Hood County adult disease prevalence vs. CDC PLACES national benchmarks, ranked by absolute divergence. Green connectors mark conditions where Hood County is below the benchmark; terracotta where above.National benchmarkHood County
ConditionHood CountyTX avgUS avg
Current Asthma
% of adults with current asthma
9.8%
-0.3% vs TX
9.8%10.6%
COPD
% of adults with diagnosed COPD
7.4%
-3.9% vs TX
7.7%8.6%
Diabetes
% of adults with diagnosed diabetes
12.5%
-14% vs TX
14.6%13.7%
Coronary Heart Disease
% of adults with CHD
7.4%
-0.4% vs TX
7.4%7.9%
Depression
% of adults ever diagnosed with depression
22.6%
+2.2% vs TX
22.1%23.1%
Frequent Mental Distress
% of adults with 14+ poor mental health days/month
15.5%
-11% vs TX
17.4%17.2%

Vulnerable Medicare Population

Who needs the grid to stay alive

Medicare beneficiaries in Hood 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
21,416
Electricity-dependent (any DME)
Ventilators, oxygen concentrators, IV pumps, motorized wheelchairs
1,046
48.8
-14% vs TX
Dialysis-dependent
ESRD beneficiaries needing in-center or home dialysis
22
1.03
-79% vs TX
Oxygen-dependent
Home oxygen concentrators (outage-vulnerable)
279
13.0
-39% vs TX

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 Hood 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.

SpecialtyHood CountyUS avg
Primary Care
Family medicine, internal medicine, general practice, pediatrics.
109.0
per 100k
-16% vs US
130.4
Cardiology
Cardiovascular disease, electrophysiology, interventional cardiology.
9.3
per 100k
-23% vs US
12.1
Pulmonology
Respiratory disease specialists — relevant to PM2.5 and wildfire smoke exposure.
4.7
per 100k
-23% vs US
6.0
Psychiatry
Mental health prescribers; complements behavioral health access.
14.0
per 100k
-25% vs US
18.7
Oncology / Hematology
Cancer specialists.
4.7
per 100k
-27% vs US
6.4
Neurology
Neurological disease specialists.
7.8
per 100k
-1.5% vs US
7.9

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

Multi-County Comparison

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

See pricing →

Nearby Counties

Counties bordering Hood 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