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ZipVitals

ZIP code

29899

in McCormick, South CarolinaPopulation 710

47.92/ 100

Ranked #19,031 of 32,066 US ZIPs (bottom 41%)

Ranked #193 of 417 South Carolina ZIPs (top 46%)

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.

Short sleep

46.2%

in the top 1.9% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Natural-disaster risk

in the bottom 1.4% nationally

Lower is healthier

ST1st
US1st
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Transportation noise

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & 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 ›

Floodplain exposure

0.00%

at the national minimum

Lower is healthier

ST1st
US1st
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Expected annual disaster loss

$0

in the bottom 3.9% nationally

Lower is healthier

ST1st
US4th
Definition & 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 ›

Arsenic in groundwater

1.1%

in the bottom 4.1% nationally

Lower is healthier

ST19th
US4th
Definition & 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 ›

Binge drinking

20.6%

in the top 4.2% nationally

Lower is healthier

ST95th
US96th
Definition & source ›

The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.

Full methodology ›

Utility shut-off threat

16%

in the top 5.6% nationally

Lower is healthier

ST90th
US94th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Housing insecurity

22.8%

in the top 5.8% nationally

Lower is healthier

ST91st
US94th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Uninsured (under 65)

17.6%

in the top 6.9% nationally

Lower is healthier

ST95th
US93rd
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

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
  • Food insecurity
  • Housing insecurity

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

McCormick, South Carolina (ZIP 29899), overall, ranks in the bottom 41% nationally (19,031st) and the top 46% of South Carolina (193rd).

continue reading

The profile reads plainly, and several measures carry it: modeled short sleep sits in the top 1.9% nationally, binge drinking lands in the top 4.2% nationally, and utility shutoff lies in the top 5.6% nationally. Modeled housing insecurity stands in the top 5.8% nationally, and uninsured rests in the top 6.9% nationally. On the better side, modeled disaster risk registers in the bottom 1.4% nationally, and transportation noise resides at the national minimum. Floodplain exposure settles at the national minimum, and modeled expected annual loss is in the bottom 3.9% nationally. Modeled arsenic sits in the bottom 4.1% nationally.

Defined simply, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 29835, just across the boundary, comes out healthier overall. This area 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.

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

Compare within

Lifting this score

Chronic Disease Burden

healthier than 84%

21%

Environmental Hazard

healthier than 70%

14%

Mental Health

healthier than 88%

8%

About typical

Disability

healthier than 57%

7%

Climate / Disaster Risk

healthier than 43%

5%

Holding it back

Social Need / SDOH

healthier than 3%

16%

Preventive Care

healthier than 8%

13%

Risk Behavior

healthier than 2%

11%

Healthcare Access

healthier than 36%

5%

Lifting this score

Chronic Disease Burden

healthier than 92%

21%

Mental Health

healthier than 94%

8%

Disability

healthier than 80%

7%

Climate / Disaster Risk

healthier than 85%

5%

About typical

Environmental Hazard

healthier than 53%

14%

Holding it back

Social Need / SDOH

healthier than 4%

16%

Preventive Care

healthier than 3%

13%

Risk Behavior

in the bottom 0.8%

11%

Healthcare Access

healthier than 21%

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 ›

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 adults18.3%15.7–21.1
High blood pressure among adults40.0%35.4–44.8
Cancer (non-skin) or melanoma among adults3.8%3.4–4.3
Current asthma among adults7.9%6.8–9.0
Coronary heart disease among adults5.4%4.6–6.3
Chronic obstructive pulmonary disease among adults5.8%4.7–7.2
Depression among adults15.9%13.1–18.9
Diagnosed diabetes among adults13.5%11.6–15.8
High cholesterol among adults who have ever been screened32.9%28.7–37.1
Obesity among adults42.7%34.4–51.1
Stroke among adults3.3%2.8–3.9
All teeth lost among adults aged >=65 years10.3%8.3–12.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years17.6%12.3–23.3
Taking medicine to control high blood pressure among adults with high blood pressure69.3%65.3–73.0
Visits to doctor for routine checkup within the past year among adults74.9%70.5–79.0
Cholesterol screening among adults80.3%76.3–83.8
Colorectal cancer screening among adults aged 45–75 years60.2%54.9–65.3
Visited dentist or dental clinic in the past year among adults48.5%44.6–52.4
Mammography use among women aged 50-74 years75.3%67.7–82.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults20.6%16.9–24.9
Current cigarette smoking among adults19.8%15.4–24.7
No leisure-time physical activity among adults26.4%20.9–32.7
Short sleep duration among adults46.2%39.3–53.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults23.0%18.4–28.4
Frequent mental distress among adults16.7%14.2–19.3
Frequent physical distress among adults12.5%10.4–15.0
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.1%13.1–19.7
Any disability among adults30.7%25.2–36.8
Hearing disability among adults5.1%4.4–5.9
Independent living disability among adults8.1%6.5–10.0
Mobility disability among adults11.9%9.5–14.7
Self-care disability among adults4.8%3.8–5.9
Vision disability among adults6.1%4.9–7.5
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults34.1%28.5–40.2
Food insecurity in the past 12 months among adults27.3%19.9–34.7
Received food stamps in the past 12 months among adults17.1%11.8–22.8
Housing insecurity in the past 12 months among adults22.8%17.4–28.4
Lack of reliable transportation in the past 12 months among adults13.4%10.3–16.8
Loneliness among adults33.5%28.1–39.6
Utility services shut-off threat in the past 12 months among adults16.0%12.5–19.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)SC median (p10–p90)
Poverty rate10.6% (3.1–25.8%) n=32,36415.5% (6.2–28.7%) n=410
Uninsured 18–649.0% (1.5–24.3%) n=32,28614.1% (5.9–25.5%) n=412
No HS diploma (25+)45.5%7.9% (1.8–20.7%) n=32,50511.6% (3.4–21.1%) n=417
Bachelor's or higher (25+)0.0%23.3% (9.2–53.6%) n=32,50520.1% (9.1–48.9%) n=417
Unemployment rate (16+)3.9% (0.0–9.8%) n=32,2744.6% (0.2–11.1%) n=414
Households without a vehicle3.9% (0.0–12.5%) n=32,3224.8% (0.0–13.6%) n=410
Broadband subscription89.3% (75.1–97.1%) n=32,32286.1% (71.4–95.1%) n=410
Housing cost burden (≥30% income)23.7% (10.6–40.0%) n=32,32223.3% (12.8–35.0%) n=410
Homeownership rate78.7% (51.7–94.0%) n=32,32277.3% (54.9–91.8%) n=410
Crowded housing (>1 per room)1.3% (0.0–6.3%) n=32,3221.4% (0.0–4.6%) n=410
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5532.7% (0.0–9.0%) n=419
Single-parent households53.6% (37.3–74.1%) n=32,08750.9% (37.6–69.9%) n=404
Population 65+1.1%19.4% (10.8–33.6%) n=32,55319.6% (10.9–31.7%) n=419
Median age41.4 yr42.2 yr (33.0–56.3) n=32,29241.4 yr (33.8–54.1) n=415
Median household income$72,070 ($46,039–$118,707) n=30,318$58,990 ($40,800–$90,964) n=384
Median home value$222,200 ($100,300–$579,820) n=30,049$177,400 ($88,260–$384,940) n=383
Median gross rent$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 birth77.6 yr ± 1.5978.9 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 1.59 years of 77.6, 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