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ZipVitals

ZIP code

70661

in Starks, LouisianaPopulation 1,861

29.42/ 100

Ranked #30,878 of 32,066 US ZIPs (bottom 3.8%)

Ranked #437 of 508 Louisiana ZIPs (bottom 14.0%)

Ranked #24 of 25 Lake Charles, LA ZIPs (bottom 4.0%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

What defines this ZIP

Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.

Fatal road crashes

96.7 per 100,000 residents per year

in the top 0.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.

A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.

Full methodology ›

Industrial-pollution burden

in the top 1.5% nationally

Lower is healthier

ST92nd
US99th
Definition & source ›

The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.

Full methodology ›

Grocery access

0.46 per 1,000 residents

in the top 1.8% nationally

Higher is healthier

ST98th
US98th
Definition & source ›

The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.

Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”

Full methodology ›

Arsenic in groundwater

1.0%

in the bottom 2.1% nationally

Lower is healthier

ST11th
US2nd
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Poverty rate

43.8%

in the top 2.4% nationally

Lower is healthier

ST95th
US98th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Unemployment rate

16%

in the top 3.3% nationally

Lower is healthier

ST94th
US97th
Definition & source ›

The share of the civilian labor force that is unemployed.

Full methodology ›

Cognitive disability

21.4%

in the top 5.1% nationally

Lower is healthier

ST76th
US95th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Floodplain exposure

46.6%

in the top 4.7% nationally

Lower is healthier

ST65th
US95th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Median household income

$24,917

in the bottom 1.0% nationally

Higher is healthier

ST2nd
US1st
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Households without a vehicle

17.9%

in the top 5.4% nationally

Lower is healthier

ST93rd
US95th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

Health need and barriers to care documented here

On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.

These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.

Health need documented here

  • People living in poverty
  • Adults reporting fair or poor health
  • Chronic conditions

Barriers to reaching care

  • Thin local supply of doctors
  • Thin local supply of pharmacies
  • Households with no vehicle
  • Limited home internet for telehealth

A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.

See the full care-deserts analysis →

The read

In overall standing, Starks, Louisiana (ZIP 70661) comes out in the bottom 3.8% nationally (30,878th) and the bottom 14.0% of Louisiana (437th).

continue reading

The clearest local signals in the data come through up front: fatal road crashes resides in the top 0.5% nationally, modeled industrial-pollution burden rests in the top 1.5% nationally, and poverty lies in the top 2.4% nationally. Unemployment sits in the top 3.3% nationally, modeled cognitive disability settles in the top 5.1% nationally, and floodplain exposure registers in the top 4.7% nationally. Household income stands in the bottom 1.0% nationally, and households without a vehicle lands in the top 5.4% nationally. On the brighter side, grocery is in the top 1.8% nationally, and modeled arsenic resides in the bottom 2.1% nationally.

Relative to the ZIPs around it, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. In plain terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest healthier ZIP overall is ZIP 70633, just across the boundary.

What’s driving this score

Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Lake Charles, LA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Nothing measured is lifting this score.

Holding it back

Chronic Disease Burden

healthier than 6%

21%

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

healthier than 36%

14%

Preventive Care

healthier than 34%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 5%

8%

Disability

healthier than 6%

7%

Climate / Disaster Risk

healthier than 3%

5%

Healthcare Access

healthier than 36%

5%

Nothing measured is lifting this score.

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

healthier than 31%

16%

Environmental Hazard

healthier than 23%

14%

Preventive Care

healthier than 13%

13%

Risk Behavior

healthier than 19%

11%

Mental Health

healthier than 17%

8%

Disability

healthier than 19%

7%

Climate / Disaster Risk

healthier than 34%

5%

Healthcare Access

healthier than 23%

5%

Nothing measured is lifting this score.

About typical

Climate / Disaster Risk

healthier than 50%

5%

Healthcare Access

healthier than 50%

5%

Holding it back

Chronic Disease Burden

in the bottom 0.00%

21%

Social Need / SDOH

healthier than 13%

16%

Environmental Hazard

healthier than 29%

14%

Preventive Care

healthier than 4%

13%

Risk Behavior

healthier than 17%

11%

Mental Health

healthier than 17%

8%

Disability

healthier than 4%

7%

“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured

Evidence

Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.

Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Arthritis among adults37.1%34.0–40.2
High blood pressure among adults47.6%44.0–51.0
Cancer (non-skin) or melanoma among adults9.7%8.9–10.6
Current asthma among adults10.5%9.4–11.8
Coronary heart disease among adults10.4%9.4–11.5
Chronic obstructive pulmonary disease among adults13.2%11.7–14.8
Depression among adults30.2%26.8–33.7
Diagnosed diabetes among adults17.6%15.6–19.7
High cholesterol among adults who have ever been screened44.1%40.3–47.8
Obesity among adults44.8%39.3–50.2
Stroke among adults5.5%5.0–6.0
All teeth lost among adults aged >=65 years24.0%20.6–27.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years9.3%7.8–11.0
Taking medicine to control high blood pressure among adults with high blood pressure81.0%78.6–83.2
Visits to doctor for routine checkup within the past year among adults81.3%78.5–83.8
Cholesterol screening among adults85.0%83.1–86.7
Colorectal cancer screening among adults aged 45–75 years61.6%57.5–65.9
Visited dentist or dental clinic in the past year among adults51.4%48.2–54.8
Mammography use among women aged 50-74 years71.9%65.5–78.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.9%13.6–18.6
Current cigarette smoking among adults23.8%21.0–26.9
No leisure-time physical activity among adults39.5%35.0–43.9
Short sleep duration among adults37.9%33.7–42.7
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults30.3%27.1–33.5
Frequent mental distress among adults20.5%18.5–22.6
Frequent physical distress among adults19.2%17.1–21.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.4%19.1–23.7
Any disability among adults46.0%41.8–50.0
Hearing disability among adults11.6%10.4–12.9
Independent living disability among adults12.8%11.5–14.3
Mobility disability among adults22.8%20.4–25.4
Self-care disability among adults6.5%5.9–7.2
Vision disability among adults8.2%7.4–9.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults26.6%23.5–30.0
Food insecurity in the past 12 months among adults23.4%20.5–26.6
Received food stamps in the past 12 months among adults21.9%19.2–25.0
Housing insecurity in the past 12 months among adults14.7%12.8–16.7
Lack of reliable transportation in the past 12 months among adults11.4%10.1–12.9
Loneliness among adults35.0%31.0–39.2
Utility services shut-off threat in the past 12 months among adults11.7%10.4–13.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)LA median (p10–p90)
Poverty rate43.8%10.6% (3.1–25.8%) n=32,36417.8% (6.0–36.8%) n=504
Uninsured 18–6423.3%9.0% (1.5–24.3%) n=32,28610.4% (2.9–20.5%) n=505
No HS diploma (25+)19.0%7.9% (1.8–20.7%) n=32,50514.0% (4.3–26.4%) n=508
Bachelor's or higher (25+)9.3%23.3% (9.2–53.6%) n=32,50516.6% (5.9–37.1%) n=508
Unemployment rate (16+)16.0%3.9% (0.0–9.8%) n=32,2745.5% (0.0–13.6%) n=501
Households without a vehicle17.9%3.9% (0.0–12.5%) n=32,3226.0% (0.0–15.0%) n=504
Broadband subscription72.8%89.3% (75.1–97.1%) n=32,32284.4% (64.1–94.5%) n=504
Housing cost burden (≥30% income)26.3%23.7% (10.6–40.0%) n=32,32223.1% (9.3–41.8%) n=504
Homeownership rate71.4%78.7% (51.7–94.0%) n=32,32277.4% (50.9–92.7%) n=504
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3221.5% (0.0–4.8%) n=504
Foreign-born population0.8%2.6% (0.0–18.6%) n=32,5531.2% (0.0–7.6%) n=508
Single-parent households58.9%53.6% (37.3–74.1%) n=32,08748.0% (29.6–65.8%) n=495
Population 65+28.4%19.4% (10.8–33.6%) n=32,55317.3% (10.2–29.0%) n=508
Median age51.3 yr42.2 yr (33.0–56.3) n=32,29239.6 yr (33.0–52.4) n=500
Median household income$24,917$72,070 ($46,039–$118,707) n=30,318$56,458 ($34,647–$88,928) n=457
Median home value$83,700$222,200 ($100,300–$579,820) n=30,049$163,450 ($86,100–$284,620) n=452
Median gross rent$403$1,021 ($677–$1,912) n=25,670$915 ($606–$1,325) n=389
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)LA median (p10–p90)
Life expectancy at birth73.6 yr ± 1.2578.9 yr (74.7–82.8) n=31,30875.9 yr (73.2–79.0) n=494

About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.25 years of 73.6, and it’s very unlikely to be off by more than twice that.

More ZIPs to explore ▾

How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured