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ZipVitals

ZIP code

29135

in St. Matthews, South CarolinaPopulation 8,294

48.82/ 100

Ranked #17,894 of 32,066 US ZIPs (bottom 44%)

Ranked #179 of 417 South Carolina ZIPs (top 43%)

Ranked #27 of 47 Columbia, SC ZIPs (bottom 43%)

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.

Elder-services access

0.37 per 1,000 residents

in the top 3.5% nationally

Higher is healthier

ST99th
US97th
Definition & source ›

The number of services for older adults and people with disabilities 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.

Full methodology ›

Fatal road crashes

50.6 per 100,000 residents per year

in the top 3.7% nationally

Lower is healthier

ST88th
US96th
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 ›

Grocery access

0.25 per 1,000 residents

in the top 5.0% nationally

Higher is healthier

ST93rd
US95th
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 ›

Diabetes

18.1%

in the top 7.8% nationally

Lower is healthier

ST68th
US92nd
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Mental-health provider access

0.12 per 1,000 residents

in the top 8.5% nationally

Higher is healthier

ST94th
US92nd
Definition & source ›

The number of mental-health clinics located 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.

Full methodology ›

High blood pressure

46.4%

in the top 9.0% nationally

Lower is healthier

ST75th
US91st
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

The read

On balance, and by the composite measure, St. Matthews, South Carolina (ZIP 29135) ranks in the bottom 44% nationally (17,894th) and the top 43% of South Carolina (179th).

continue reading

The measures split the difference for this area: elder services registers in the top 3.5% nationally, and grocery sits in the top 5.0% nationally. Mental-health providers rests in the top 8.5% nationally. Distance to a community health center is at the national minimum, shared with about 23% of ZIPs. Against that, fatal road crashes stands in the top 3.7% nationally, modeled diabetes settles in the top 7.8% nationally, and modeled high blood pressure lies in the top 9.0% nationally. Distance to an emergency room resides in the top 11.7% nationally, modeled stroke lands in the top 11.3% nationally, and home broadband subscription registers in the bottom 13.2% nationally.

In plainer terms, distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. For a healthier nearby ZIP overall, look to ZIP 29118, 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 Columbia, SC metro area.

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

Compare within

Lifting this score

Environmental Hazard

healthier than 79%

14%

Preventive Care

healthier than 75%

13%

Mental Health

healthier than 73%

8%

Healthcare Access

healthier than 67%

5%

About typical

Risk Behavior

healthier than 54%

11%

Holding it back

Chronic Disease Burden

healthier than 20%

21%

Social Need / SDOH

healthier than 21%

16%

Disability

healthier than 31%

7%

Climate / Disaster Risk

healthier than 35%

5%

Lifting this score

Environmental Hazard

healthier than 64%

14%

Preventive Care

healthier than 73%

13%

Risk Behavior

healthier than 67%

11%

Mental Health

healthier than 83%

8%

Climate / Disaster Risk

healthier than 62%

5%

Healthcare Access

healthier than 65%

5%

About typical

Disability

healthier than 54%

7%

Holding it back

Chronic Disease Burden

healthier than 38%

21%

Social Need / SDOH

healthier than 37%

16%

Lifting this score

Environmental Hazard

healthier than 78%

14%

Preventive Care

healthier than 61%

13%

Risk Behavior

healthier than 61%

11%

Mental Health

healthier than 83%

8%

Climate / Disaster Risk

healthier than 74%

5%

Healthcare Access

healthier than 61%

5%

About typical

Disability

healthier than 46%

7%

Holding it back

Chronic Disease Burden

healthier than 26%

21%

Social Need / SDOH

healthier than 39%

16%

“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 74.9 ± 1.2 years. A median household income of $49,396 predicts 77.3 years — 2.4 years below.

    Ranked #3,339 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Clean environment, heavy chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 79.2; chronic-disease standing 20.4 — 59 points apart, cleaner on the environment than it is on chronic illness.

    Ranked #1,823 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.

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 adults33.0%29.5–36.6
High blood pressure among adults46.4%42.2–50.8
Cancer (non-skin) or melanoma among adults8.6%7.8–9.5
Current asthma among adults10.4%9.2–11.8
Coronary heart disease among adults8.0%7.2–8.8
Chronic obstructive pulmonary disease among adults8.6%7.7–9.6
Depression among adults20.6%17.5–24.1
Diagnosed diabetes among adults18.1%15.9–20.4
High cholesterol among adults who have ever been screened39.8%35.4–44.4
Obesity among adults41.9%34.1–50.1
Stroke among adults5.2%4.8–5.6
All teeth lost among adults aged >=65 years18.2%15.1–21.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years11.7%10.0–13.6
Taking medicine to control high blood pressure among adults with high blood pressure83.6%81.3–85.7
Visits to doctor for routine checkup within the past year among adults83.8%80.9–86.5
Cholesterol screening among adults88.8%87.3–90.2
Colorectal cancer screening among adults aged 45–75 years69.1%64.3–73.5
Visited dentist or dental clinic in the past year among adults57.4%53.9–61.0
Mammography use among women aged 50-74 years75.9%68.8–82.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.1%10.7–15.9
Current cigarette smoking among adults14.5%12.4–16.6
No leisure-time physical activity among adults29.6%25.3–34.5
Short sleep duration among adults38.2%31.9–44.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults23.3%20.7–26.2
Frequent mental distress among adults15.9%14.1–17.9
Frequent physical distress among adults15.4%13.7–17.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.5%12.9–16.3
Any disability among adults34.6%30.4–39.0
Hearing disability among adults7.3%6.5–8.2
Independent living disability among adults9.8%8.8–11.0
Mobility disability among adults19.3%17.1–21.7
Self-care disability among adults5.4%5.0–6.0
Vision disability among adults6.8%6.2–7.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults26.5%22.9–30.0
Food insecurity in the past 12 months among adults21.3%18.5–24.0
Received food stamps in the past 12 months among adults13.4%11.6–15.3
Housing insecurity in the past 12 months among adults15.7%13.7–17.7
Lack of reliable transportation in the past 12 months among adults9.8%8.7–10.9
Loneliness among adults31.8%27.1–36.6
Utility services shut-off threat in the past 12 months among adults10.7%9.4–12.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)SC median (p10–p90)
Poverty rate15.2%10.6% (3.1–25.8%) n=32,36415.5% (6.2–28.7%) n=410
Uninsured 18–6415.3%9.0% (1.5–24.3%) n=32,28614.1% (5.9–25.5%) n=412
No HS diploma (25+)15.7%7.9% (1.8–20.7%) n=32,50511.6% (3.4–21.1%) n=417
Bachelor's or higher (25+)25.8%23.3% (9.2–53.6%) n=32,50520.1% (9.1–48.9%) n=417
Unemployment rate (16+)6.1%3.9% (0.0–9.8%) n=32,2744.6% (0.2–11.1%) n=414
Households without a vehicle7.1%3.9% (0.0–12.5%) n=32,3224.8% (0.0–13.6%) n=410
Broadband subscription77.7%89.3% (75.1–97.1%) n=32,32286.1% (71.4–95.1%) n=410
Housing cost burden (≥30% income)25.4%23.7% (10.6–40.0%) n=32,32223.3% (12.8–35.0%) n=410
Homeownership rate81.9%78.7% (51.7–94.0%) n=32,32277.3% (54.9–91.8%) n=410
Crowded housing (>1 per room)3.3%1.3% (0.0–6.3%) n=32,3221.4% (0.0–4.6%) n=410
Foreign-born population3.0%2.6% (0.0–18.6%) n=32,5532.7% (0.0–9.0%) n=419
Single-parent households57.4%53.6% (37.3–74.1%) n=32,08750.9% (37.6–69.9%) n=404
Population 65+26.9%19.4% (10.8–33.6%) n=32,55319.6% (10.9–31.7%) n=419
Median age45.5 yr42.2 yr (33.0–56.3) n=32,29241.4 yr (33.8–54.1) n=415
Median household income$49,396$72,070 ($46,039–$118,707) n=30,318$58,990 ($40,800–$90,964) n=384
Median home value$167,100$222,200 ($100,300–$579,820) n=30,049$177,400 ($88,260–$384,940) n=383
Median gross rent$1,043$1,021 ($677–$1,912) n=25,670$950 ($678–$1,545) n=343
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)SC median (p10–p90)
Life expectancy at birth74.9 yr ± 0.6378.9 yr (74.7–82.8) n=31,30876.3 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 0.63 years of 74.9, 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