ZIP code
29105
in Monetta, South CarolinaPopulation 1,621
43.92/ 100
Ranked #23,494 of 32,066 US ZIPs (bottom 27%)
Ranked #266 of 417 South Carolina ZIPs (bottom 36%)
Ranked #30 of 43 Augusta-Richmond County, GA-SC ZIPs (bottom 30%)
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.
Households without a vehicle
37.9%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Fatal road crashes
55.5 per 100,000 residents per year
in the top 2.9% nationally
Lower is healthier
ST89thUS97thDefinition & 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 ›Poverty rate
39%
in the top 3.3% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Child-care access
0.7 per 1,000 residents
in the top 5.2% nationally
Higher is healthier
ST98thUS95thDefinition & source ›
The number of child day-care services 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 ›Distance to a nursing home
12.8 mi
in the top 7.1% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Unemployment rate
11.3%
in the top 7.3% nationally
Lower is healthier
ST91stUS93rdDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Diabetes
17.7%
in the top 9.1% nationally
Lower is healthier
ST65thUS91stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Crowded housing
5.8%
in the top 11.3% nationally
Lower is healthier
ST94thUS89thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Floodplain exposure
1.1%
in the bottom 13.1% nationally
Lower is healthier
ST5thUS13thDefinition & 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 ›Uninsured (under 65)
15.6%
in the top 10.0% nationally
Lower is healthier
ST87thUS90thDefinition & 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
- People living in poverty
- Chronic conditions
Barriers to reaching care
- Thin local supply of doctors
- Thin local supply of pharmacies
- Households with no vehicle
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
Monetta, South Carolina (ZIP 29105) ranks in the bottom 27% nationally (23,494th) and the bottom 36% of South Carolina (266th).
Plainly, the numbers point to a handful of defining readings: households without a vehicle stands in the top 1.7% nationally, and fatal road crashes sits in the top 2.9% nationally. Poverty resides in the top 3.3% nationally, and distance to a nursing home stands in the top 7.1% nationally. Unemployment sits in the top 7.3% nationally, modeled diabetes resides in the top 9.1% nationally, and crowded housing stands in the top 11.3% nationally. Modeled food insecurity sits in the top 11.7% nationally. On the brighter side, childcare resides in the top 5.2% nationally, and modeled arsenic stands in the bottom 10.1% nationally.
For context, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The closest ZIP that ranks healthier overall is ZIP 29006, just across the boundary. The 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. 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 83%
14%
About typical
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 54%
8%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 10%
16%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 31%
5%
Lifting this score
Environmental Hazard
healthier than 71%
14%
Mental Health
healthier than 60%
8%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Chronic Disease Burden
healthier than 42%
21%
Holding it back
Social Need / SDOH
healthier than 22%
16%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 22%
11%
Disability
healthier than 34%
7%
Healthcare Access
healthier than 15%
5%
Lifting this score
Environmental Hazard
healthier than 83%
14%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Preventive Care
healthier than 45%
13%
Mental Health
healthier than 55%
8%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 17%
16%
Risk Behavior
healthier than 26%
11%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 14%
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 83.2; chronic-disease standing 22.4 — 61 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,672 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
29006
South Carolinashares a border
Score 47.35
Closest healthier
29129
South Carolinashares a border
Score 43.94
Similar health profile
30222
Georgia98% similar profile
Score 40.40
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 | 31.6% | 29.2–33.9 |
| High blood pressure among adults | 44.2% | 41.4–46.9 |
| Cancer (non-skin) or melanoma among adults | 8.4% | 7.7–9.1 |
| Current asthma among adults | 10.4% | 9.4–11.6 |
| Coronary heart disease among adults | 8.5% | 7.6–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.6–11.1 |
| Depression among adults | 22.2% | 19.9–24.7 |
| Diagnosed diabetes among adults | 17.7% | 16.0–19.5 |
| High cholesterol among adults who have ever been screened | 39.3% | 36.6–42.1 |
| Obesity among adults | 40.5% | 36.5–44.6 |
| Stroke among adults | 5.2% | 4.7–5.7 |
| All teeth lost among adults aged >=65 years | 16.7% | 14.4–19.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.6% | 13.5–18.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.5% | 80.6–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 79.6–83.9 |
| Cholesterol screening among adults | 86.3% | 84.8–87.8 |
| Colorectal cancer screening among adults aged 45–75 years | 64.5% | 60.9–67.9 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 52.6–58.1 |
| Mammography use among women aged 50-74 years | 76.8% | 72.0–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.1% | 12.3–16.1 |
| Current cigarette smoking among adults | 17.6% | 15.3–20.2 |
| No leisure-time physical activity among adults | 32.7% | 29.2–36.4 |
| Short sleep duration among adults | 40.5% | 36.9–44.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.8% | 24.0–29.9 |
| Frequent mental distress among adults | 17.0% | 15.3–18.8 |
| Frequent physical distress among adults | 16.7% | 15.0–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.5% | 14.7–18.5 |
| Any disability among adults | 36.2% | 33.0–39.9 |
| Hearing disability among adults | 8.0% | 7.2–8.9 |
| Independent living disability among adults | 11.1% | 9.9–12.4 |
| Mobility disability among adults | 19.9% | 17.9–22.2 |
| Self-care disability among adults | 6.1% | 5.5–6.8 |
| Vision disability among adults | 7.9% | 7.1–8.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 27.2% | 24.4–30.1 |
| Food insecurity in the past 12 months among adults | 24.5% | 21.4–27.4 |
| Received food stamps in the past 12 months among adults | 16.7% | 14.3–19.1 |
| Housing insecurity in the past 12 months among adults | 17.7% | 15.7–20.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.6% | 10.3–13.0 |
| Loneliness among adults | 32.9% | 29.7–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.2% | 10.7–13.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 39.0% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 16.0% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 13.3% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 7.1% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 11.3% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 37.9% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 82.5% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 22.8% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 85.3% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 5.8% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 77.4% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 13.7% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 31.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $94,444 | $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 | $1,063 | $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 | 80.1 yr ± 2.18 | 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 2.18 years of 80.1, 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