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ZipVitals

ZIP code

29506

in Florence, South CarolinaPopulation 20,777

37.47/ 100

Ranked #28,303 of 32,066 US ZIPs (bottom 11.8%)

Ranked #374 of 417 South Carolina ZIPs (bottom 10.4%)

Ranked #17 of 18 Florence, SC ZIPs (bottom 5.6%)

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.

Self-care disability

7.3%

in the top 4.7% nationally

Lower is healthier

ST88th
US95th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Vision disability

9.6%

in the top 5.8% nationally

Lower is healthier

ST92nd
US94th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Utility shut-off threat

17.3%

in the top 4.4% nationally

Lower is healthier

ST93rd
US96th
Definition & source ›

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

Full methodology ›

Independent-living disability

13.3%

in the top 5.8% nationally

Lower is healthier

ST91st
US94th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Housing insecurity

23.9%

in the top 4.9% nationally

Lower is healthier

ST94th
US95th
Definition & source ›

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

Full methodology ›

Food insecurity

32%

in the top 4.9% nationally

Lower is healthier

ST91st
US95th
Definition & source ›

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

Full methodology ›

Diabetes

18.8%

in the top 6.0% nationally

Lower is healthier

ST73rd
US94th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Lack of transportation

15.8%

in the top 5.3% nationally

Lower is healthier

ST95th
US95th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Stroke

5.7%

in the top 6.0% nationally

Lower is healthier

ST79th
US94th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Physician access

2.3 per 1,000 residents

in the top 5.6% nationally

Higher is healthier

ST96th
US94th
Definition & source ›

The number of physicians’ offices located 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 ›

The read

By the composite health measure, ZIP 29506, one of several in Florence, South Carolina ranks in the bottom 11.8% nationally (28,303rd) and the bottom 10.4% of South Carolina (374th).

continue reading

The picture here is genuinely mixed, with readings on both sides: distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. On the other side, modeled self-care disability is in the top 4.7% nationally, and vision disability settles in the top 5.8% nationally. Modeled utility shutoff resides in the top 4.4% nationally, independent living disability registers in the top 5.8% nationally, and housing insecurity rests in the top 4.9% nationally. Modeled food insecurity stands in the top 4.9% nationally, diabetes lies in the top 6.0% nationally, and transportation lands in the top 5.3% nationally. Modeled stroke sits in the top 6.0% nationally.

Close by, ZIP 29501, just across the boundary, ranks healthier overall. Modeled independent living disability sits in the top 5.8% nationally.

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.

Compare within

Lifting this score

Healthcare Access

in the top 0.00%

5%

About typical

Environmental Hazard

healthier than 53%

14%

Preventive Care

healthier than 46%

13%

Holding it back

Chronic Disease Burden

healthier than 15%

21%

Social Need / SDOH

healthier than 4%

16%

Risk Behavior

healthier than 17%

11%

Mental Health

healthier than 27%

8%

Disability

healthier than 9%

7%

Climate / Disaster Risk

healthier than 8%

5%

Lifting this score

Healthcare Access

in the top 0.00%

5%

Holding it back

Chronic Disease Burden

healthier than 28%

21%

Social Need / SDOH

healthier than 8%

16%

Environmental Hazard

healthier than 36%

14%

Preventive Care

healthier than 33%

13%

Risk Behavior

healthier than 18%

11%

Mental Health

healthier than 18%

8%

Disability

healthier than 13%

7%

Climate / Disaster Risk

healthier than 11%

5%

Lifting this score

Healthcare Access

in the top 0.00%

5%

About typical

Chronic Disease Burden

healthier than 47%

21%

Holding it back

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

healthier than 12%

14%

Preventive Care

healthier than 29%

13%

Risk Behavior

healthier than 6%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 12%

7%

Climate / Disaster Risk

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 ›

Findings that name this ZIP

2 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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 70.7 ± 1.8 years. A median household income of $40,311 predicts 76.5 years — 5.8 years below.

    Ranked #5,722 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 70.7 ± 1.8 years. The 48 nearest ZIP codes with estimates average 74.3 years — 3.7 years below them.

    Ranked #2,837 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

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 adults29.4%26.7–32.2
High blood pressure among adults46.3%42.9–49.8
Cancer (non-skin) or melanoma among adults6.6%6.0–7.3
Current asthma among adults11.4%10.2–12.9
Coronary heart disease among adults7.9%7.2–8.7
Chronic obstructive pulmonary disease among adults9.9%9.0–10.9
Depression among adults22.7%19.7–25.9
Diagnosed diabetes among adults18.8%16.9–20.9
High cholesterol among adults who have ever been screened39.3%35.8–42.9
Obesity among adults44.9%39.4–50.4
Stroke among adults5.7%5.3–6.1
All teeth lost among adults aged >=65 years24.9%21.4–28.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years15.0%13.0–17.0
Taking medicine to control high blood pressure among adults with high blood pressure81.3%79.2–83.3
Visits to doctor for routine checkup within the past year among adults83.1%80.4–85.6
Cholesterol screening among adults85.2%83.4–87.0
Colorectal cancer screening among adults aged 45–75 years66.4%62.1–70.5
Visited dentist or dental clinic in the past year among adults49.0%45.7–52.4
Mammography use among women aged 50-74 years78.0%71.9–83.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults12.4%10.3–14.7
Current cigarette smoking among adults17.7%15.7–20.1
No leisure-time physical activity among adults35.8%31.8–40.1
Short sleep duration among adults42.2%37.3–47.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.0%26.2–32.0
Frequent mental distress among adults19.8%17.8–22.1
Frequent physical distress among adults16.9%15.2–18.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults19.2%17.3–21.3
Any disability among adults40.3%36.4–44.5
Hearing disability among adults6.8%6.1–7.5
Independent living disability among adults13.3%12.1–14.7
Mobility disability among adults21.5%19.5–23.9
Self-care disability among adults7.3%6.8–8.0
Vision disability among adults9.6%8.9–10.4
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults29.9%26.6–33.5
Food insecurity in the past 12 months among adults32.0%28.8–35.3
Received food stamps in the past 12 months among adults24.6%22.1–27.2
Housing insecurity in the past 12 months among adults23.9%21.4–26.5
Lack of reliable transportation in the past 12 months among adults15.8%14.2–17.5
Loneliness among adults38.5%34.4–42.7
Utility services shut-off threat in the past 12 months among adults17.3%15.5–19.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)SC median (p10–p90)
Poverty rate28.6%10.6% (3.1–25.8%) n=32,36415.5% (6.2–28.7%) n=410
Uninsured 18–6418.7%9.0% (1.5–24.3%) n=32,28614.1% (5.9–25.5%) n=412
No HS diploma (25+)19.7%7.9% (1.8–20.7%) n=32,50511.6% (3.4–21.1%) n=417
Bachelor's or higher (25+)14.4%23.3% (9.2–53.6%) n=32,50520.1% (9.1–48.9%) n=417
Unemployment rate (16+)8.4%3.9% (0.0–9.8%) n=32,2744.6% (0.2–11.1%) n=414
Households without a vehicle12.2%3.9% (0.0–12.5%) n=32,3224.8% (0.0–13.6%) n=410
Broadband subscription80.5%89.3% (75.1–97.1%) n=32,32286.1% (71.4–95.1%) n=410
Housing cost burden (≥30% income)36.4%23.7% (10.6–40.0%) n=32,32223.3% (12.8–35.0%) n=410
Homeownership rate53.8%78.7% (51.7–94.0%) n=32,32277.3% (54.9–91.8%) n=410
Crowded housing (>1 per room)2.9%1.3% (0.0–6.3%) n=32,3221.4% (0.0–4.6%) n=410
Foreign-born population3.1%2.6% (0.0–18.6%) n=32,5532.7% (0.0–9.0%) n=419
Single-parent households38.4%53.6% (37.3–74.1%) n=32,08750.9% (37.6–69.9%) n=404
Population 65+18.4%19.4% (10.8–33.6%) n=32,55319.6% (10.9–31.7%) n=419
Median age36.4 yr42.2 yr (33.0–56.3) n=32,29241.4 yr (33.8–54.1) n=415
Median household income$40,311$72,070 ($46,039–$118,707) n=30,318$58,990 ($40,800–$90,964) n=384
Median home value$123,300$222,200 ($100,300–$579,820) n=30,049$177,400 ($88,260–$384,940) n=383
Median gross rent$798$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 birth70.6 yr ± 0.9278.9 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 0.92 years of 70.6, 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