ZIP code
29137
in Perry, South CarolinaPopulation 2,248
41.59/ 100
Ranked #25,577 of 32,066 US ZIPs (bottom 20%)
Ranked #313 of 417 South Carolina ZIPs (bottom 25%)
Ranked #34 of 43 Augusta-Richmond County, GA-SC ZIPs (bottom 21%)
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.
Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST79thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Diabetes
18.5%
in the top 6.8% nationally
Lower is healthier
ST71stUS93rdDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Self-care disability
6.4%
in the top 9.1% nationally
Lower is healthier
ST73rdUS91stDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Fatal road crashes
35.6 per 100,000 residents per year
in the top 9.2% nationally
Lower is healthier
ST74thUS91stDefinition & 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 ›Transportation noise
0.23%
in the bottom 10.9% nationally
Lower is healthier
ST5thUS11thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Median household income
$41,116
in the bottom 6.3% nationally
Higher is healthier
ST11thUS6thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Overall, Perry, South Carolina (ZIP 29137) lands in the bottom 20% nationally (25,577th) and the bottom 25% of South Carolina (313th).
A number of measures pull each way for this area: modeled transportation noise resides in the bottom 10.9% nationally. Modeled loud transportation noise registers at the national minimum, shared with about 22% of ZIPs. Fiber broadband rests in the top 11.1% nationally. Set against that, modeled stroke stands in the top 6.0% nationally, diabetes lies in the top 6.8% nationally, and self-care disability lands in the top 9.1% nationally. Fatal road crashes sits in the top 9.2% nationally, distance to an emergency room is in the top 10.8% nationally, and modeled food insecurity settles in the top 11.1% nationally. Modeled vision disability resides in the top 10.6% nationally.
A note on the terms: transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. For a healthier nearby comparison, ZIP 29123, just across the boundary, ranks better overall.
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 Augusta-Richmond County, GA-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 89%
14%
About typical
Preventive Care
healthier than 47%
13%
Mental Health
healthier than 42%
8%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Social Need / SDOH
healthier than 12%
16%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 81%
14%
About typical
Mental Health
healthier than 40%
8%
Climate / Disaster Risk
healthier than 59%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 15%
11%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
in the top 0.00%
14%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Preventive Care
healthier than 48%
13%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 19%
16%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 31%
8%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 10%
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 88.9; chronic-disease standing 15.5 — 73 points apart, cleaner on the environment than it is on chronic illness.
Ranked #853 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
29107
South Carolinashares a border
Score 39.78
Closest healthier
29123
South Carolinashares a border
Score 44.17
Similar health profile
36736
Alabama99% similar profile
Score 32.18
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 | 33.0% | 30.7–35.5 |
| High blood pressure among adults | 45.5% | 42.8–48.3 |
| Cancer (non-skin) or melanoma among adults | 8.6% | 7.9–9.4 |
| Current asthma among adults | 10.6% | 9.6–11.8 |
| Coronary heart disease among adults | 9.0% | 8.2–9.8 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.4–11.7 |
| Depression among adults | 23.3% | 20.9–25.9 |
| Diagnosed diabetes among adults | 18.5% | 16.8–20.3 |
| High cholesterol among adults who have ever been screened | 39.3% | 36.5–42.2 |
| Obesity among adults | 39.7% | 35.8–43.9 |
| Stroke among adults | 5.7% | 5.2–6.1 |
| All teeth lost among adults aged >=65 years | 20.2% | 17.3–23.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.9% | 11.8–16.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.2% | 81.3–85.0 |
| Visits to doctor for routine checkup within the past year among adults | 82.2% | 79.8–84.4 |
| Cholesterol screening among adults | 86.1% | 84.5–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 65.6% | 61.9–68.9 |
| Visited dentist or dental clinic in the past year among adults | 52.6% | 49.6–55.5 |
| Mammography use among women aged 50-74 years | 75.3% | 69.8–80.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.0% | 12.0–16.0 |
| Current cigarette smoking among adults | 18.6% | 16.5–21.0 |
| No leisure-time physical activity among adults | 33.7% | 30.5–37.3 |
| Short sleep duration among adults | 40.7% | 36.9–44.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.4% | 24.9–30.1 |
| Frequent mental distress among adults | 17.6% | 16.0–19.4 |
| Frequent physical distress among adults | 17.2% | 15.6–18.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.9% | 15.2–18.7 |
| Any disability among adults | 37.2% | 34.1–40.4 |
| Hearing disability among adults | 8.4% | 7.6–9.3 |
| Independent living disability among adults | 11.8% | 10.7–13.0 |
| Mobility disability among adults | 21.1% | 19.1–23.1 |
| Self-care disability among adults | 6.4% | 5.9–7.0 |
| Vision disability among adults | 8.3% | 7.6–9.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.1% | 24.2–29.9 |
| Food insecurity in the past 12 months among adults | 25.0% | 22.1–27.7 |
| Received food stamps in the past 12 months among adults | 18.0% | 15.6–20.3 |
| Housing insecurity in the past 12 months among adults | 17.5% | 15.4–19.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.8% | 10.5–13.1 |
| Loneliness among adults | 32.4% | 29.0–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 12.5% | 11.0–13.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.9% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 11.9% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 11.2% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 12.2% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 4.1% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 84.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 16.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 74.7% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 0.8% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 50.3% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 20.8% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 46.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $41,116 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $107,200 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $825 | $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 | 76.0 yr ± 0.94 | 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 0.94 years of 76.0, 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