ZIP code
29079
in Lydia, South CarolinaPopulation 58
40.85/ 100
Ranked #26,160 of 32,066 US ZIPs (bottom 18%)
Ranked #332 of 417 South Carolina ZIPs (bottom 20%)
Ranked #14 of 18 Florence, SC ZIPs (bottom 22%)
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.
Housing-cost burden
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Home broadband subscription
17.6%
in the bottom 0.4% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Diabetes
20.4%
in the top 3.2% nationally
Lower is healthier
ST85thUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Obesity
48.5%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Expected annual disaster loss
$0
in the bottom 2.3% nationally
Lower is healthier
ST1stUS2ndDefinition & 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 ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Natural-disaster risk
in the bottom 2.6% nationally
Lower is healthier
ST2ndUS3rdDefinition & 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 ›Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Overall, Lydia, South Carolina (ZIP 29079) lands in the bottom 18% nationally (26,160th) and the bottom 20% of South Carolina (332nd).
Several measures weigh most on this area's profile, and they come first: housing-cost burden rests at the national maximum, and modeled diabetes stands in the top 3.2% nationally. Modeled obesity lies in the top 1.2% nationally, and tree cover lands at the national minimum. Modeled transportation noise sits in the top 4.9% nationally. On the better side, modeled expected annual loss is in the bottom 2.3% nationally, poverty settles at the national minimum, and homeownership resides at the national maximum. Modeled disaster risk registers in the bottom 2.6% nationally, and floodplain exposure rests at the national minimum.
Set beside the nearby areas, home broadband subscription runs far lower than the surrounding ZIPs on this measure. A note on the terms: expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". For a healthier nearby comparison, ZIP 29550, 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 Florence, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Preventive Care
healthier than 44%
13%
Mental Health
healthier than 51%
8%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 28%
14%
Risk Behavior
healthier than 26%
11%
Disability
healthier than 16%
7%
Healthcare Access
healthier than 28%
5%
Lifting this score
Climate / Disaster Risk
healthier than 88%
5%
About typical
Mental Health
healthier than 56%
8%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 31%
11%
Disability
healthier than 28%
7%
Healthcare Access
healthier than 11%
5%
Lifting this score
Mental Health
healthier than 82%
8%
Climate / Disaster Risk
in the top 0.00%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Disability
healthier than 41%
7%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 35%
11%
Healthcare Access
in the bottom 0.00%
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
29550
South Carolinashares a border
Score 45.69
Closest healthier
29069
South Carolinaless than 0.1 mi away
Score 42.79
Similar health profile
23856
Virginia99% similar profile
Score 36.20
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 | 30.2% | 26.7–33.7 |
| High blood pressure among adults | 47.6% | 43.5–51.7 |
| Cancer (non-skin) or melanoma among adults | 6.1% | 5.4–6.9 |
| Current asthma among adults | 11.2% | 9.8–12.8 |
| Coronary heart disease among adults | 8.3% | 6.9–9.8 |
| Chronic obstructive pulmonary disease among adults | 8.7% | 6.8–10.9 |
| Depression among adults | 20.8% | 17.7–24.1 |
| Diagnosed diabetes among adults | 20.4% | 17.3–23.5 |
| High cholesterol among adults who have ever been screened | 38.1% | 34.3–42.2 |
| Obesity among adults | 48.5% | 41.5–55.4 |
| Stroke among adults | 5.7% | 4.7–6.9 |
| All teeth lost among adults aged >=65 years | 23.1% | 19.1–27.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.3% | 9.4–18.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.1% | 79.8–84.4 |
| Visits to doctor for routine checkup within the past year among adults | 84.4% | 81.4–87.0 |
| Cholesterol screening among adults | 86.2% | 83.4–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 61.2% | 56.5–65.8 |
| Visited dentist or dental clinic in the past year among adults | 53.8% | 50.1–57.3 |
| Mammography use among women aged 50-74 years | 74.3% | 66.6–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.8% | 10.4–15.4 |
| Current cigarette smoking among adults | 16.5% | 12.4–20.7 |
| No leisure-time physical activity among adults | 31.7% | 25.5–38.4 |
| Short sleep duration among adults | 42.5% | 36.9–48.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.5% | 22.2–33.2 |
| Frequent mental distress among adults | 18.3% | 15.5–21.0 |
| Frequent physical distress among adults | 16.1% | 13.3–19.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.4% | 14.2–20.9 |
| Any disability among adults | 36.6% | 30.8–42.9 |
| Hearing disability among adults | 6.9% | 5.8–7.9 |
| Independent living disability among adults | 11.7% | 9.4–14.2 |
| Mobility disability among adults | 20.4% | 16.4–24.5 |
| Self-care disability among adults | 6.7% | 5.2–8.5 |
| Vision disability among adults | 8.6% | 7.0–10.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.8% | 25.0–34.7 |
| Food insecurity in the past 12 months among adults | 29.8% | 22.5–36.3 |
| Received food stamps in the past 12 months among adults | 19.9% | 14.2–25.2 |
| Housing insecurity in the past 12 months among adults | 21.8% | 17.1–26.4 |
| Lack of reliable transportation in the past 12 months among adults | 13.8% | 10.8–16.7 |
| Loneliness among adults | 36.6% | 31.6–42.1 |
| Utility services shut-off threat in the past 12 months among adults | 15.6% | 12.5–18.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | — | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | — | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 17.6% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 100.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 100.0% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 100.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 79.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 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
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Life expectancy unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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