ZIP code
29922
in Garnett, South CarolinaPopulation 772
38.34/ 100
Ranked #27,827 of 32,066 US ZIPs (bottom 13.3%)
Ranked #364 of 417 South Carolina ZIPs (bottom 12.8%)
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.
Diabetes
21.7%
in the top 1.9% nationally
Lower is healthier
ST93rdUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›PFAS in drinking water
4.5%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Poverty rate
46.2%
in the top 2.0% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Home broadband subscription
56.9%
in the bottom 2.4% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Stroke
6.0%
in the top 4.1% nationally
Lower is healthier
ST85thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Floodplain exposure
53.3%
in the top 3.5% nationally
Lower is healthier
ST92ndUS97thDefinition & 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 ›Self-care disability
7.1%
in the top 5.4% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Short sleep
44.1%
in the top 4.4% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Households without a vehicle
21.7%
in the top 4.0% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›High blood pressure
49%
in the top 4.5% nationally
Lower is healthier
ST87thUS96thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Cross-source signals
Combined exposures in this ZIP
More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.
This area ranks among the highest 10% of US ZIP codes for both flood exposure and the share of households without a vehicle.
See the full flooding, evacuation & humid-heat analysis →This area ranks among the highest 10% of US ZIP codes for both humid-heat days and flood exposure.
See the full flooding, evacuation & humid-heat analysis →
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 living in poverty
- Food insecurity
- Housing insecurity
- Adults reporting fair or poor health
- 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
Garnett, South Carolina (ZIP 29922), by its overall standing, sits in the bottom 13.3% nationally (27,827th) and the bottom 12.8% of South Carolina (364th).
The clearest local signals in the data come through up front: modeled diabetes lies in the top 1.9% nationally, poverty sits in the top 2.0% nationally, and home broadband subscription settles in the bottom 2.4% nationally. Modeled stroke registers in the top 4.1% nationally, floodplain exposure stands in the top 3.5% nationally, and modeled self-care disability lands in the top 5.4% nationally. Modeled short sleep is in the top 4.4% nationally, and households without a vehicle resides in the top 4.0% nationally. Modeled high blood pressure rests in the top 4.5% nationally. On the brighter side, modeled pfas lies in the bottom 0.8% nationally.
Defined in plain terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". The nearest ZIP ranking healthier overall is ZIP 29921, just across the boundary. Looking wider, the ZIP 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.
Lifting this score
Environmental Hazard
healthier than 91%
14%
Mental Health
healthier than 63%
8%
About typical
Preventive Care
healthier than 50%
13%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 3%
16%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 12%
7%
Climate / Disaster Risk
healthier than 2%
5%
Healthcare Access
healthier than 36%
5%
Lifting this score
Environmental Hazard
healthier than 87%
14%
Mental Health
healthier than 73%
8%
About typical
Preventive Care
healthier than 43%
13%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 5%
16%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 2%
5%
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.
Nearby
29918
South Carolinashares a border
Score 36.42
Closest healthier
29921
South Carolinashares a border
Score 40.97
Similar health profile
71839
Arkansas98% similar profile
Score 37.24
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 | 31.7% | 29.2–34.4 |
| High blood pressure among adults | 49.0% | 45.8–52.2 |
| Cancer (non-skin) or melanoma among adults | 6.4% | 5.9–7.0 |
| Current asthma among adults | 11.4% | 10.3–12.6 |
| Coronary heart disease among adults | 8.0% | 7.3–8.8 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.3–10.5 |
| Depression among adults | 19.3% | 17.1–21.9 |
| Diagnosed diabetes among adults | 21.7% | 19.8–23.8 |
| High cholesterol among adults who have ever been screened | 39.9% | 36.7–43.3 |
| Obesity among adults | 42.1% | 36.4–47.9 |
| Stroke among adults | 6.0% | 5.5–6.6 |
| All teeth lost among adults aged >=65 years | 24.3% | 20.9–27.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.4% | 13.1–18.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.3% | 81.6–84.9 |
| Visits to doctor for routine checkup within the past year among adults | 83.5% | 81.2–85.6 |
| Cholesterol screening among adults | 86.9% | 85.5–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 63.2–70.8 |
| Visited dentist or dental clinic in the past year among adults | 48.8% | 45.6–51.7 |
| Mammography use among women aged 50-74 years | 76.1% | 70.1–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.7% | 10.0–13.7 |
| Current cigarette smoking among adults | 17.1% | 15.0–19.4 |
| No leisure-time physical activity among adults | 36.3% | 32.5–40.9 |
| Short sleep duration among adults | 44.1% | 38.8–49.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 29.2% | 26.3–32.6 |
| Frequent mental distress among adults | 18.1% | 16.5–20.0 |
| Frequent physical distress among adults | 16.7% | 15.2–18.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.3% | 15.6–19.3 |
| Any disability among adults | 38.9% | 35.3–43.0 |
| Hearing disability among adults | 6.4% | 5.8–7.1 |
| Independent living disability among adults | 12.2% | 11.0–13.7 |
| Mobility disability among adults | 22.7% | 20.4–25.2 |
| Self-care disability among adults | 7.1% | 6.3–7.9 |
| Vision disability among adults | 9.1% | 8.3–10.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 32.0% | 28.5–35.3 |
| Food insecurity in the past 12 months among adults | 32.4% | 28.7–36.2 |
| Received food stamps in the past 12 months among adults | 22.0% | 19.1–25.2 |
| Housing insecurity in the past 12 months among adults | 23.4% | 20.8–26.0 |
| Lack of reliable transportation in the past 12 months among adults | 14.3% | 12.8–16.0 |
| Loneliness among adults | 36.5% | 32.4–40.5 |
| Utility services shut-off threat in the past 12 months among adults | 15.9% | 14.2–17.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 46.2% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 14.1% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 14.5% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 11.4% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 4.5% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 21.7% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 56.9% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 24.6% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 87.7% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 30.3% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 39.8% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 55.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $28,750 | $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
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 73.4 yr ± 1.48 | 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 1.48 years of 73.4, 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