ZIP code
31635
in Lakeland, GeorgiaPopulation 6,787
35.82/ 100
Ranked #29,071 of 32,066 US ZIPs (bottom 9.4%)
Ranked #646 of 711 Georgia ZIPs (bottom 9.2%)
Ranked #15 of 18 Valdosta, GA ZIPs (bottom 17%)
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.
Tooth loss
28.6%
in the top 4.0% nationally
Lower is healthier
ST95thUS96thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Independent-living disability
13.2%
in the top 6.1% nationally
Lower is healthier
ST89thUS94thDefinition & 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 ›Humid extreme heat
149.7 days/year
in the top 4.8% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Fiber broadband
98%
in the top 6.7% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Self-care disability
6.6%
in the top 7.9% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Loneliness
38.6%
in the top 7.0% nationally
Lower is healthier
ST73rdUS93rdDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Poverty rate
28.7%
in the top 7.7% nationally
Lower is healthier
ST92ndUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Lack of transportation
14.0%
in the top 8.0% nationally
Lower is healthier
ST84thUS92ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Utility shut-off threat
14.3%
in the top 8.2% nationally
Lower is healthier
ST83rdUS92ndDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Vision disability
8.6%
in the top 9.2% nationally
Lower is healthier
ST85thUS91stDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
Overall, Lakeland, Georgia (ZIP 31635) places in the bottom 9.4% nationally (29,071st) and the bottom 9.2% of Georgia (646th).
The data opens on a genuinely even set of readings: distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Fiber broadband sits in the top 6.7% nationally. On the other side, modeled tooth loss lies in the top 4.0% nationally, independent living disability rests in the top 6.1% nationally, and humid heat resides in the top 4.8% nationally. Modeled self-care disability is in the top 7.9% nationally, modeled loneliness lands in the top 7.0% nationally, and poverty stands in the top 7.7% nationally. Modeled transportation registers in the top 8.0% nationally, and utility shutoff settles in the top 8.2% nationally.
For readers new to these terms, humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. Among nearby ZIPs, the nearest healthier one overall is ZIP 31605, just across the boundary.
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 Valdosta, GA 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 91%
14%
About typical
Healthcare Access
healthier than 44%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Environmental Hazard
healthier than 92%
14%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 18%
16%
Preventive Care
healthier than 7%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 11%
5%
Healthcare Access
healthier than 31%
5%
Lifting this score
Environmental Hazard
healthier than 76%
14%
About typical
Healthcare Access
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 35%
16%
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 18%
7%
Climate / Disaster Risk
healthier than 24%
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 91.3 (top 10%); chronic-disease standing 20.0 — 71 points apart, cleaner on the environment than it is on chronic illness.
Ranked #999 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
31605
Georgiashares a border
Score 56.75
Closest healthier
31639
Georgiashares a border
Score 40.73
Similar health profile
74023
Oklahoma99% similar profile
Score 36.24
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 | 28.4% | 25.2–31.7 |
| High blood pressure among adults | 41.8% | 37.6–46.1 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–7.8 |
| Current asthma among adults | 11.2% | 9.9–12.5 |
| Coronary heart disease among adults | 8.2% | 7.4–9.0 |
| Chronic obstructive pulmonary disease among adults | 10.7% | 9.6–11.8 |
| Depression among adults | 22.9% | 19.6–26.6 |
| Diagnosed diabetes among adults | 16.5% | 14.6–18.6 |
| High cholesterol among adults who have ever been screened | 38.5% | 34.2–42.9 |
| Obesity among adults | 41.7% | 33.3–50.7 |
| Stroke among adults | 4.9% | 4.5–5.3 |
| All teeth lost among adults aged >=65 years | 28.6% | 24.2–33.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 16.2% | 13.9–18.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.7–79.8 |
| Visits to doctor for routine checkup within the past year among adults | 76.8% | 73.0–80.4 |
| Cholesterol screening among adults | 82.3% | 80.1–84.3 |
| Colorectal cancer screening among adults aged 45–75 years | 57.9% | 52.2–63.0 |
| Visited dentist or dental clinic in the past year among adults | 44.1% | 40.3–47.7 |
| Mammography use among women aged 50-74 years | 69.1% | 60.1–76.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.5% | 11.8–17.5 |
| Current cigarette smoking among adults | 21.4% | 18.6–24.2 |
| No leisure-time physical activity among adults | 35.2% | 30.3–40.3 |
| Short sleep duration among adults | 40.6% | 33.5–47.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.4% | 25.2–31.6 |
| Frequent mental distress among adults | 20.9% | 18.7–23.2 |
| Frequent physical distress among adults | 18.0% | 16.0–20.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.8% | 17.7–22.0 |
| Any disability among adults | 39.0% | 34.4–43.6 |
| Hearing disability among adults | 8.3% | 7.4–9.2 |
| Independent living disability among adults | 13.2% | 12.0–14.6 |
| Mobility disability among adults | 19.7% | 17.5–22.1 |
| Self-care disability among adults | 6.6% | 6.1–7.3 |
| Vision disability among adults | 8.6% | 7.8–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.2% | 21.6–29.3 |
| Food insecurity in the past 12 months among adults | 26.6% | 23.3–30.4 |
| Received food stamps in the past 12 months among adults | 25.7% | 22.5–29.2 |
| Housing insecurity in the past 12 months among adults | 19.7% | 17.2–22.6 |
| Lack of reliable transportation in the past 12 months among adults | 14.0% | 12.4–15.9 |
| Loneliness among adults | 38.6% | 33.1–44.3 |
| Utility services shut-off threat in the past 12 months among adults | 14.3% | 12.6–16.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.7% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 23.8% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 9.4% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 20.3% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 0.8% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 6.8% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 85.7% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 33.8% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 72.0% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 3.8% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 50.0% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 16.3% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 35.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $45,414 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $171,800 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $875 | $1,021 ($677–$1,912) n=25,670 | $993 ($694–$1,769) n=627 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 76.2 yr ± 1.15 | 78.9 yr (74.7–82.8) n=31,308 | 76.1 yr (73.3–79.7) n=668 |
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 1.15 years of 76.2, 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