ZIP code
70570
in Opelousas, LouisianaPopulation 37,565
31.51/ 100
Ranked #30,419 of 32,066 US ZIPs (bottom 5.2%)
Ranked #408 of 508 Louisiana ZIPs (bottom 20%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
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.
Self-care disability
8.4%
in the top 2.1% nationally
Lower is healthier
ST90thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Vision disability
10.7%
in the top 3.5% nationally
Lower is healthier
ST91stUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
14.7%
in the top 3.0% nationally
Lower is healthier
ST89thUS97thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Fair or poor health
33.7%
in the top 3.6% nationally
Lower is healthier
ST89thUS96thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Diabetes
20.4%
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Tooth loss
28.3%
in the top 4.2% nationally
Lower is healthier
ST89thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Stroke
6.2%
in the top 3.2% nationally
Lower is healthier
ST87thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Utility shut-off threat
20.8%
in the top 2.1% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Expected annual disaster loss
$0
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Mobility disability
25.1%
in the top 3.4% nationally
Lower is healthier
ST86thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
Opelousas, Louisiana (ZIP 70570), on the composite measure, lands in the bottom 5.2% nationally (30,419th) and the bottom 20% of Louisiana (408th).
Where this area is stretched, the data is unambiguous: modeled self-care disability rests in the top 2.1% nationally, vision disability sits in the top 3.5% nationally, and independent living disability registers in the top 3.0% nationally. Modeled fair or poor health lands in the top 3.6% nationally, diabetes resides in the top 3.2% nationally, and tooth loss lies in the top 4.2% nationally. Modeled stroke settles in the top 3.2% nationally, and utility shutoff stands in the top 2.1% nationally. Modeled expected annual loss is in the top 2.3% nationally, and mobility disability rests in the top 3.4% nationally.
Set against the neighboring ZIPs, expected annual loss runs far higher than the surrounding ZIPs on this measure. In everyday language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. A healthier neighbor overall sits at ZIP 70512, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 45%
14%
Preventive Care
healthier than 49%
13%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 2%
16%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 3%
7%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Climate / Disaster Risk
healthier than 88%
5%
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
healthier than 27%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 10%
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 ›
Findings that name this ZIP
2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.1 ± 0.9 years. A median household income of $44,612 predicts 76.9 years — 2.8 years below.
Ranked #3,825 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 74.1 ± 0.9 years. The 45 nearest ZIP codes with estimates average 77.0 years — 2.9 years below them.
Ranked #2,312 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
70512
Louisianashares a border
Score 36.05
Closest healthier
70525
Louisianashares a border
Score 38.59
Similar health profile
48601
Michigan100% similar profile
Score 27.01
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
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 33.6% | 30.0–37.3 |
| High blood pressure among adults | 50.2% | 45.8–54.6 |
| Cancer (non-skin) or melanoma among adults | 7.0% | 6.3–7.8 |
| Current asthma among adults | 11.6% | 10.2–13.1 |
| Coronary heart disease among adults | 9.3% | 8.4–10.3 |
| Chronic obstructive pulmonary disease among adults | 11.5% | 10.3–12.7 |
| Depression among adults | 25.0% | 21.3–28.9 |
| Diagnosed diabetes among adults | 20.4% | 18.0–23.0 |
| High cholesterol among adults who have ever been screened | 40.1% | 35.6–44.6 |
| Obesity among adults | 42.6% | 35.3–50.2 |
| Stroke among adults | 6.2% | 5.8–6.7 |
| All teeth lost among adults aged >=65 years | 28.3% | 24.2–32.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.9% | 9.4–12.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.0–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 83.9% | 80.8–86.7 |
| Cholesterol screening among adults | 85.6% | 83.7–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 63.6% | 58.2–68.5 |
| Visited dentist or dental clinic in the past year among adults | 48.0% | 44.1–51.7 |
| Mammography use among women aged 50-74 years | 77.6% | 70.3–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 11.9–17.8 |
| Current cigarette smoking among adults | 22.2% | 19.5–25.0 |
| No leisure-time physical activity among adults | 38.0% | 33.1–43.1 |
| Short sleep duration among adults | 42.6% | 36.0–49.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 33.7% | 30.3–37.1 |
| Frequent mental distress among adults | 21.2% | 18.9–23.7 |
| Frequent physical distress among adults | 18.8% | 16.6–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.9% | 19.6–24.2 |
| Any disability among adults | 46.5% | 41.8–51.3 |
| Hearing disability among adults | 8.8% | 7.8–9.8 |
| Independent living disability among adults | 14.7% | 13.3–16.2 |
| Mobility disability among adults | 25.1% | 22.5–27.8 |
| Self-care disability among adults | 8.4% | 7.8–9.1 |
| Vision disability among adults | 10.7% | 9.9–11.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.8% | 29.0–36.9 |
| Food insecurity in the past 12 months among adults | 34.7% | 31.7–37.9 |
| Received food stamps in the past 12 months among adults | 34.3% | 31.7–37.2 |
| Housing insecurity in the past 12 months among adults | 25.2% | 22.7–27.8 |
| Lack of reliable transportation in the past 12 months among adults | 17.9% | 16.3–19.7 |
| Loneliness among adults | 38.8% | 34.1–43.9 |
| Utility services shut-off threat in the past 12 months among adults | 20.8% | 18.9–23.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | LA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.6% | 10.6% (3.1–25.8%) n=32,364 | 17.8% (6.0–36.8%) n=504 |
| Uninsured 18–64 | 9.7% | 9.0% (1.5–24.3%) n=32,286 | 10.4% (2.9–20.5%) n=505 |
| No HS diploma (25+) | 17.8% | 7.9% (1.8–20.7%) n=32,505 | 14.0% (4.3–26.4%) n=508 |
| Bachelor's or higher (25+) | 14.8% | 23.3% (9.2–53.6%) n=32,505 | 16.6% (5.9–37.1%) n=508 |
| Unemployment rate (16+) | 7.9% | 3.9% (0.0–9.8%) n=32,274 | 5.5% (0.0–13.6%) n=501 |
| Households without a vehicle | 12.2% | 3.9% (0.0–12.5%) n=32,322 | 6.0% (0.0–15.0%) n=504 |
| Broadband subscription | 74.0% | 89.3% (75.1–97.1%) n=32,322 | 84.4% (64.1–94.5%) n=504 |
| Housing cost burden (≥30% income) | 28.5% | 23.7% (10.6–40.0%) n=32,322 | 23.1% (9.3–41.8%) n=504 |
| Homeownership rate | 71.2% | 78.7% (51.7–94.0%) n=32,322 | 77.4% (50.9–92.7%) n=504 |
| Crowded housing (>1 per room) | 4.8% | 1.3% (0.0–6.3%) n=32,322 | 1.5% (0.0–4.8%) n=504 |
| Foreign-born population | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.2% (0.0–7.6%) n=508 |
| Single-parent households | 43.3% | 53.6% (37.3–74.1%) n=32,087 | 48.0% (29.6–65.8%) n=495 |
| Population 65+ | 19.2% | 19.4% (10.8–33.6%) n=32,553 | 17.3% (10.2–29.0%) n=508 |
| Median age | 38.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.6 yr (33.0–52.4) n=500 |
| Median household income | $44,612 | $72,070 ($46,039–$118,707) n=30,318 | $56,458 ($34,647–$88,928) n=457 |
| Median home value | $142,800 | $222,200 ($100,300–$579,820) n=30,049 | $163,450 ($86,100–$284,620) n=452 |
| Median gross rent | $751 | $1,021 ($677–$1,912) n=25,670 | $915 ($606–$1,325) n=389 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | LA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.1 yr ± 0.48 | 78.9 yr (74.7–82.8) n=31,308 | 75.9 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 0.48 years of 74.1, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾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