ZIP code
29545
in Green Sea, South CarolinaPopulation 1,767
35.25/ 100
Ranked #29,289 of 32,066 US ZIPs (bottom 8.7%)
Ranked #392 of 417 South Carolina ZIPs (bottom 6.0%)
Ranked #15 of 15 Myrtle Beach-Conway-North Myrtle Beach, SC ZIPs (bottom 6.7%)
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
7.5%
in the top 4.1% nationally
Lower is healthier
ST91stUS96thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Fiber broadband
99.9%
in the top 2.1% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Arsenic in groundwater
1.1%
in the bottom 3.0% nationally
Lower is healthier
ST15thUS3rdDefinition & 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 ›Independent-living disability
13.6%
in the top 5.0% nationally
Lower is healthier
ST94thUS95thDefinition & 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 ›Diabetes
19.2%
in the top 5.2% nationally
Lower is healthier
ST76thUS95thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
5.8%
in the top 5.3% nationally
Lower is healthier
ST82ndUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
23.6%
in the top 5.6% nationally
Lower is healthier
ST90thUS94thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Vision disability
9.3%
in the top 6.6% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
30.6%
in the top 7.3% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Poverty rate
31.6%
in the top 6.0% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cross-source signals
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 without health insurance
- People living in poverty
- Food insecurity
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Distance to the nearest emergency room
- Thin local supply of doctors
- Thin local supply of pharmacies
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
Green Sea, South Carolina (ZIP 29545), by its overall standing, sits in the bottom 8.7% nationally (29,289th) and the bottom 6.0% of South Carolina (392nd).
The clearest local signals in the data come through up front: modeled self-care disability stands in the top 4.1% nationally, independent living disability lands in the top 5.0% nationally, and diabetes is in the top 5.2% nationally. Modeled stroke resides in the top 5.3% nationally, mobility disability rests in the top 5.6% nationally, and vision disability lies in the top 6.6% nationally. Modeled fair or poor health sits in the top 7.3% nationally, and poverty settles in the top 6.0% nationally. On the brighter side, fiber broadband registers in the top 2.1% nationally, and modeled arsenic stands in the bottom 3.0% nationally.
Defined in plain terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest ZIP ranking healthier overall is ZIP 29569, just across the boundary. Looking wider, the ZIP also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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 Myrtle Beach-Conway-North Myrtle Beach, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 95%
14%
About typical
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 8%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 34%
5%
Lifting this score
Environmental Hazard
healthier than 95%
14%
About typical
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 6%
7%
Healthcare Access
healthier than 37%
5%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Environmental Hazard
healthier than 36%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.00%
8%
Disability
in the bottom 0.00%
7%
Healthcare Access
in the bottom 0.00%
5%
“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
One of our published findings lists 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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 95.3 (top 10%); chronic-disease standing 7.1 (bottom 10%) — 88 points apart, cleaner on the environment than it is on chronic illness.
Ranked #171 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
29569
South Carolinashares a border
Score 45.71
Closest healthier
29581
South Carolinashares a border
Score 35.65
Similar health profile
65760
Missouri100% similar profile
Score 34.19
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 | 35.5% | 32.9–38.2 |
| High blood pressure among adults | 47.3% | 44.3–50.3 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 10.5% | 9.3–11.6 |
| Coronary heart disease among adults | 9.8% | 8.8–10.8 |
| Chronic obstructive pulmonary disease among adults | 13.3% | 11.6–15.0 |
| Depression among adults | 23.6% | 21.0–26.3 |
| Diagnosed diabetes among adults | 19.2% | 17.2–21.3 |
| High cholesterol among adults who have ever been screened | 43.3% | 40.3–46.3 |
| Obesity among adults | 39.7% | 35.5–43.9 |
| Stroke among adults | 5.8% | 5.3–6.4 |
| All teeth lost among adults aged >=65 years | 24.8% | 21.2–28.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.2% | 13.7–19.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.1% | 81.0–85.2 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 79.1–84.0 |
| Cholesterol screening among adults | 84.6% | 82.6–86.4 |
| Colorectal cancer screening among adults aged 45–75 years | 63.6% | 59.7–67.3 |
| Visited dentist or dental clinic in the past year among adults | 50.1% | 46.9–53.1 |
| Mammography use among women aged 50-74 years | 70.6% | 64.4–76.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.8–15.9 |
| Current cigarette smoking among adults | 23.6% | 20.4–26.8 |
| No leisure-time physical activity among adults | 34.4% | 30.4–38.3 |
| Short sleep duration among adults | 40.1% | 36.2–43.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.6% | 27.3–34.1 |
| Frequent mental distress among adults | 20.5% | 18.4–22.7 |
| Frequent physical distress among adults | 20.5% | 18.3–22.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.5% | 17.2–21.8 |
| Any disability among adults | 40.5% | 36.7–44.2 |
| Hearing disability among adults | 9.6% | 8.6–10.6 |
| Independent living disability among adults | 13.6% | 12.0–15.3 |
| Mobility disability among adults | 23.6% | 21.1–26.3 |
| Self-care disability among adults | 7.5% | 6.6–8.4 |
| Vision disability among adults | 9.3% | 8.3–10.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.6% | 22.7–28.7 |
| Food insecurity in the past 12 months among adults | 28.3% | 24.7–31.9 |
| Received food stamps in the past 12 months among adults | 21.7% | 18.6–24.9 |
| Housing insecurity in the past 12 months among adults | 19.0% | 16.6–21.5 |
| Lack of reliable transportation in the past 12 months among adults | 12.9% | 11.3–14.6 |
| Loneliness among adults | 31.5% | 28.3–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 14.1% | 12.4–15.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.6% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 2.1% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 19.1% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 20.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 76.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 32.5% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 56.2% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 4.4% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 54.9% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 19.2% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 37.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $42,083 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $126,700 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $750 | $1,021 ($677–$1,912) n=25,670 | $950 ($678–$1,545) n=343 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 73.5 yr ± 1.23 | 78.9 yr (74.7–82.8) n=31,308 | 76.3 yr (73.2–79.9) n=389 |
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 1.23 years of 73.5, 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