ZIP code
29687
in Taylors, South CarolinaPopulation 44,861
58.56/ 100
Ranked #5,942 of 32,066 US ZIPs (top 19%)
Ranked #48 of 417 South Carolina ZIPs (top 11.6%)
Ranked #9 of 51 Greenville-Anderson-Greer, SC ZIPs (top 18%)
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.
Mammography
81.6%
in the top 4.9% nationally
Higher is healthier
ST95thUS95thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Expected annual disaster loss
$0
in the top 8.7% nationally
Lower is healthier
ST89thUS91stDefinition & 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 ›Dry extreme heat
0.7 days/year
in the bottom 32% nationally
Lower is healthier
ST9thUS32ndDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Taylors, South Carolina (ZIP 29687), overall, ranks in the top 19% healthiest ZIPs nationally (5,942nd) and the top 11.6% of South Carolina (48th).
This area's most favorable readings come through plainly in the numbers: modeled mammography stands in the top 4.9% nationally, subsidized affordable housing rests in the top 11.9% nationally, and modeled energy burden registers in the bottom 14.3% nationally. Modeled colon screening resides in the top 13.7% nationally. On the other side, modeled expected annual loss settles in the top 8.7% nationally, and disaster risk is in the top 10.3% nationally. Modeled industrial-pollution burden sits in the top 11.9% nationally, and distance to a Superfund site lands in the bottom 15% nationally. Distance to a hazardous-chemical facility lies at the national minimum, shared with about 31% of ZIPs. Modeled humid heat stands in the top 17% nationally.
Measured against the nearby ZIPs, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 29615, just across the boundary, comes out healthier 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 Greenville-Anderson-Greer, SC metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 66%
8%
Disability
healthier than 74%
7%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 14%
14%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 80%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
healthier than 76%
8%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 83%
5%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 10%
14%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Social Need / SDOH
healthier than 84%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 82%
7%
About typical
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 24%
14%
“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
3 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.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 80.6 ± 1.3 years. A median household income of $80,051 predicts 79.2 years — 1.4 years above.
Ranked #1,314 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 80.6 ± 1.3 years. The 48 nearest ZIP codes with estimates average 77.6 years — 3.0 years above them.
Ranked #809 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 13.7; chronic-disease standing 74.1 — 60 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,461 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
29356
South Carolinashares a border
Score 53.53
Closest healthier
29615
South Carolinashares a border
Score 61.12
Similar health profile
63119
Missouri100% similar profile
Score 63.10
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 | 25.7% | 23.4–28.1 |
| High blood pressure among adults | 35.3% | 32.4–38.3 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.2–9.7 |
| Current asthma among adults | 9.4% | 8.3–10.5 |
| Coronary heart disease among adults | 6.1% | 5.5–6.7 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.8–7.1 |
| Depression among adults | 22.0% | 19.5–24.8 |
| Diagnosed diabetes among adults | 11.8% | 10.5–13.3 |
| High cholesterol among adults who have ever been screened | 37.1% | 34.0–40.2 |
| Obesity among adults | 31.6% | 27.5–35.9 |
| Stroke among adults | 3.3% | 3.0–3.5 |
| All teeth lost among adults aged >=65 years | 10.7% | 8.8–12.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.8% | 9.5–12.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 77.5–82.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 76.1–81.5 |
| Cholesterol screening among adults | 87.5% | 86.0–88.9 |
| Colorectal cancer screening among adults aged 45–75 years | 71.3% | 67.4–74.8 |
| Visited dentist or dental clinic in the past year among adults | 66.9% | 64.0–69.8 |
| Mammography use among women aged 50-74 years | 81.6% | 76.1–86.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.9% | 13.6–18.4 |
| Current cigarette smoking among adults | 11.0% | 9.6–12.5 |
| No leisure-time physical activity among adults | 22.4% | 19.8–25.3 |
| Short sleep duration among adults | 32.5% | 28.6–36.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.8% | 15.0–18.7 |
| Frequent mental distress among adults | 15.8% | 14.1–17.5 |
| Frequent physical distress among adults | 12.8% | 11.5–14.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 11.6–14.3 |
| Any disability among adults | 28.6% | 25.8–31.7 |
| Hearing disability among adults | 6.6% | 5.9–7.3 |
| Independent living disability among adults | 7.3% | 6.6–8.0 |
| Mobility disability among adults | 13.0% | 11.6–14.5 |
| Self-care disability among adults | 3.3% | 3.1–3.6 |
| Vision disability among adults | 4.5% | 4.1–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.9–23.3 |
| Food insecurity in the past 12 months among adults | 13.4% | 11.7–15.3 |
| Received food stamps in the past 12 months among adults | 7.0% | 6.0–8.1 |
| Housing insecurity in the past 12 months among adults | 10.5% | 9.2–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 6.0–7.6 |
| Loneliness among adults | 29.9% | 26.3–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.9–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SC median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.9% | 10.6% (3.1–25.8%) n=32,364 | 15.5% (6.2–28.7%) n=410 |
| Uninsured 18–64 | 17.8% | 9.0% (1.5–24.3%) n=32,286 | 14.1% (5.9–25.5%) n=412 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 11.6% (3.4–21.1%) n=417 |
| Bachelor's or higher (25+) | 41.5% | 23.3% (9.2–53.6%) n=32,505 | 20.1% (9.1–48.9%) n=417 |
| Unemployment rate (16+) | 4.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (0.2–11.1%) n=414 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–13.6%) n=410 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 86.1% (71.4–95.1%) n=410 |
| Housing cost burden (≥30% income) | 20.0% | 23.7% (10.6–40.0%) n=32,322 | 23.3% (12.8–35.0%) n=410 |
| Homeownership rate | 75.4% | 78.7% (51.7–94.0%) n=32,322 | 77.3% (54.9–91.8%) n=410 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 1.4% (0.0–4.6%) n=410 |
| Foreign-born population | 9.2% | 2.6% (0.0–18.6%) n=32,553 | 2.7% (0.0–9.0%) n=419 |
| Single-parent households | 45.6% | 53.6% (37.3–74.1%) n=32,087 | 50.9% (37.6–69.9%) n=404 |
| Population 65+ | 18.0% | 19.4% (10.8–33.6%) n=32,553 | 19.6% (10.9–31.7%) n=419 |
| Median age | 39.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.4 yr (33.8–54.1) n=415 |
| Median household income | $80,051 | $72,070 ($46,039–$118,707) n=30,318 | $58,990 ($40,800–$90,964) n=384 |
| Median home value | $267,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($88,260–$384,940) n=383 |
| Median gross rent | $1,278 | $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 | 80.6 yr ± 0.64 | 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 0.64 years of 80.6, 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