ZIP code
29059
in Holly Hill, South CarolinaPopulation 4,905
33.02/ 100
Ranked #30,042 of 32,066 US ZIPs (bottom 6.4%)
Ranked #404 of 417 South Carolina ZIPs (bottom 3.2%)
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
8.7%
in the top 1.7% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Diabetes
22.8%
in the top 1.2% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Stroke
7.0%
in the top 1.3% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Vision disability
10.8%
in the top 3.4% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Tooth loss
29.9%
in the top 3.2% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fatal road crashes
73.4 per 100,000 residents per year
in the top 1.2% nationally
Lower is healthier
ST96thUS99thDefinition & 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 ›Mobility disability
26.2%
in the top 2.2% nationally
Lower is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›High blood pressure
52.1%
in the top 1.9% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Independent-living disability
14.2%
in the top 3.8% nationally
Lower is healthier
ST96thUS96thDefinition & 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
32.6%
in the top 4.7% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
Overall, Holly Hill, South Carolina (ZIP 29059) places in the bottom 6.4% nationally (30,042nd) and the bottom 3.2% of South Carolina (404th).
The data opens on real and measurable burdens: modeled self-care disability settles in the top 1.7% nationally, and diabetes sits in the top 1.2% nationally. Modeled stroke lies in the top 1.3% nationally, and vision disability rests in the top 3.4% nationally. Modeled tooth loss resides in the top 3.2% nationally, fatal road crashes is in the top 1.2% nationally, and modeled mobility disability lands in the top 2.2% nationally. Modeled high blood pressure stands in the top 1.9% nationally, independent living disability registers in the top 3.8% nationally, and fair or poor health settles in the top 4.7% nationally.
Among nearby ZIPs, the nearest healthier one overall is ZIP 29018, just across the boundary. Modeled vision disability settles in the top 3.4% nationally.
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
Environmental Hazard
healthier than 69%
14%
About typical
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 42%
8%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 3%
16%
Risk Behavior
healthier than 14%
11%
Disability
healthier than 3%
7%
Climate / Disaster Risk
healthier than 16%
5%
Healthcare Access
healthier than 38%
5%
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 51%
14%
Mental Health
healthier than 41%
8%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 33%
13%
Risk Behavior
healthier than 12%
11%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 22%
5%
Healthcare Access
healthier than 25%
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 69.1; chronic-disease standing 2.9 (bottom 10%) — 66 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,314 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
29018
South Carolinashares a border
Score 41.92
Closest healthier
29048
South Carolinashares a border
Score 35.05
Similar health profile
35459
Alabama100% similar profile
Score 29.89
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 | 36.3% | 33.3–39.4 |
| High blood pressure among adults | 52.1% | 48.5–55.6 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 7.0–8.5 |
| Current asthma among adults | 11.4% | 10.1–12.7 |
| Coronary heart disease among adults | 10.1% | 9.2–11.1 |
| Chronic obstructive pulmonary disease among adults | 12.3% | 11.0–13.8 |
| Depression among adults | 21.8% | 19.0–24.8 |
| Diagnosed diabetes among adults | 22.8% | 20.6–25.2 |
| High cholesterol among adults who have ever been screened | 41.9% | 38.2–45.6 |
| Obesity among adults | 45.3% | 39.7–50.9 |
| Stroke among adults | 7.0% | 6.4–7.6 |
| All teeth lost among adults aged >=65 years | 29.9% | 25.8–34.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.1% | 13.8–18.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 84.3% | 82.2–86.2 |
| Visits to doctor for routine checkup within the past year among adults | 84.3% | 81.7–86.7 |
| Cholesterol screening among adults | 86.5% | 84.7–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.5% | 62.0–70.8 |
| Visited dentist or dental clinic in the past year among adults | 50.9% | 47.5–54.2 |
| Mammography use among women aged 50-74 years | 73.2% | 66.5–79.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.6% | 9.6–13.8 |
| Current cigarette smoking among adults | 20.4% | 17.9–23.2 |
| No leisure-time physical activity among adults | 38.8% | 34.5–43.2 |
| Short sleep duration among adults | 40.4% | 35.4–45.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 32.6% | 29.4–36.2 |
| Frequent mental distress among adults | 18.6% | 16.7–20.7 |
| Frequent physical distress among adults | 19.0% | 17.0–21.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 16.8–21.1 |
| Any disability among adults | 42.7% | 38.7–46.8 |
| Hearing disability among adults | 8.5% | 7.6–9.4 |
| Independent living disability among adults | 14.2% | 12.7–15.8 |
| Mobility disability among adults | 26.2% | 23.7–28.9 |
| Self-care disability among adults | 8.7% | 7.8–9.6 |
| Vision disability among adults | 10.8% | 9.8–12.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.4% | 26.9–34.0 |
| Food insecurity in the past 12 months among adults | 35.0% | 31.3–38.6 |
| Received food stamps in the past 12 months among adults | 27.0% | 23.7–30.3 |
| Housing insecurity in the past 12 months among adults | 23.5% | 20.7–26.3 |
| Lack of reliable transportation in the past 12 months among adults | 15.7% | 13.9–17.5 |
| Loneliness among adults | 32.9% | 29.0–37.1 |
| Utility services shut-off threat in the past 12 months among adults | 17.3% | 15.2–19.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.3% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 12.2% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 13.9% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 14.1% | 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 | 14.5% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 68.8% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 38.1% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 76.9% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 44.9% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 28.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 45.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $38,698 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $85,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $651 | $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 | 75.0 yr ± 1.01 | 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 1.01 years of 75.0, 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