ZIP code
31836
in Woodland, GeorgiaPopulation 1,009
42.41/ 100
Ranked #24,903 of 32,066 US ZIPs (bottom 22%)
Ranked #502 of 711 Georgia ZIPs (bottom 29%)
Ranked #19 of 36 Columbus, GA-AL ZIPs (bottom 47%)
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
21.1%
in the top 2.4% nationally
Lower is healthier
ST94thUS98thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Fatal road crashes
69.4 per 100,000 residents per year
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›High blood pressure
52.3%
in the top 1.8% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Stroke
6.3%
in the top 2.8% nationally
Lower is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Binge drinking
10.8%
in the bottom 2.6% nationally
Lower is healthier
ST5thUS3rdDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Home broadband subscription
68.8%
in the bottom 5.6% nationally
Higher is healthier
ST6thUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Slow internet speeds
2.1%
in the top 5.6% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Mobility disability
23.1%
in the top 6.6% nationally
Lower is healthier
ST92ndUS93rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Self-care disability
6.7%
in the top 7.4% nationally
Lower is healthier
ST84thUS93rdDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Tree cover
73.4%
in the top 7.6% nationally
Higher is healthier
ST96thUS92ndDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
By the composite measure, Woodland, Georgia (ZIP 31836) sits in the bottom 22% nationally (24,903rd) and the bottom 29% of Georgia (502nd).
The main burdens in the data show plainly and lead the picture: modeled diabetes registers in the top 2.4% nationally, fatal road crashes lands in the top 1.4% nationally, and modeled high blood pressure resides in the top 1.8% nationally. Modeled stroke lies in the top 2.8% nationally, home broadband subscription settles in the bottom 5.6% nationally, and slow internet speeds stands in the top 5.6% nationally. Modeled mobility disability is in the top 6.6% nationally, and self-care disability rests in the top 7.4% nationally. More positively, modeled binge drinking sits in the bottom 2.6% nationally. Unemployment registers at the national minimum, shared with about 15% of ZIPs.
ZIP 30258, just across the boundary, ranks healthier overall. Modeled stroke registers in the top 2.8% 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 Columbus, GA-AL 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 62%
14%
Preventive Care
healthier than 66%
13%
Mental Health
healthier than 80%
8%
About typical
Risk Behavior
healthier than 42%
11%
Healthcare Access
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 11%
16%
Disability
healthier than 13%
7%
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Preventive Care
healthier than 87%
13%
Mental Health
healthier than 85%
8%
Climate / Disaster Risk
healthier than 65%
5%
About typical
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 57%
11%
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 22%
16%
Disability
healthier than 19%
7%
Healthcare Access
healthier than 29%
5%
Lifting this score
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 86%
8%
Climate / Disaster Risk
healthier than 74%
5%
About typical
Social Need / SDOH
healthier than 49%
16%
Environmental Hazard
healthier than 40%
14%
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Disability
healthier than 37%
7%
“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 62.3; chronic-disease standing 5.4 (bottom 10%) — 57 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,959 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
30258
Georgiashares a border
Score 51.36
Closest healthier
30286
Georgiashares a border
Score 43.29
Similar health profile
30678
Georgia98% similar profile
Score 44.27
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 | 36.8% | 33.1–40.8 |
| High blood pressure among adults | 52.3% | 47.8–56.8 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.8–10.9 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 10.2% | 9.1–11.4 |
| Chronic obstructive pulmonary disease among adults | 11.0% | 9.5–12.7 |
| Depression among adults | 18.3% | 15.5–21.4 |
| Diagnosed diabetes among adults | 21.1% | 18.5–23.8 |
| High cholesterol among adults who have ever been screened | 44.6% | 40.0–49.5 |
| Obesity among adults | 41.5% | 33.0–50.4 |
| Stroke among adults | 6.3% | 5.7–6.9 |
| All teeth lost among adults aged >=65 years | 17.0% | 14.2–20.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.8% | 10.3–15.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 85.0% | 82.7–87.0 |
| Visits to doctor for routine checkup within the past year among adults | 83.3% | 80.4–86.2 |
| Cholesterol screening among adults | 89.7% | 88.1–91.1 |
| Colorectal cancer screening among adults aged 45–75 years | 69.0% | 63.9–74.1 |
| Visited dentist or dental clinic in the past year among adults | 55.0% | 51.2–59.0 |
| Mammography use among women aged 50-74 years | 72.3% | 63.8–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 10.8% | 8.7–13.2 |
| Current cigarette smoking among adults | 17.6% | 14.9–20.5 |
| No leisure-time physical activity among adults | 35.2% | 29.9–40.8 |
| Short sleep duration among adults | 38.2% | 31.2–45.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.8% | 24.3–31.6 |
| Frequent mental distress among adults | 16.5% | 14.5–18.5 |
| Frequent physical distress among adults | 18.1% | 15.9–20.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.4% | 13.4–17.4 |
| Any disability among adults | 38.6% | 33.9–43.6 |
| Hearing disability among adults | 9.2% | 8.1–10.4 |
| Independent living disability among adults | 11.5% | 10.1–13.0 |
| Mobility disability among adults | 23.1% | 20.2–26.3 |
| Self-care disability among adults | 6.7% | 5.9–7.6 |
| Vision disability among adults | 8.2% | 7.2–9.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.1% | 22.1–30.1 |
| Food insecurity in the past 12 months among adults | 22.2% | 18.8–25.6 |
| Received food stamps in the past 12 months among adults | 20.0% | 16.9–23.2 |
| Housing insecurity in the past 12 months among adults | 16.6% | 14.0–19.1 |
| Lack of reliable transportation in the past 12 months among adults | 10.9% | 9.4–12.4 |
| Loneliness among adults | 36.7% | 31.1–42.3 |
| Utility services shut-off threat in the past 12 months among adults | 11.5% | 9.7–13.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.8% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 19.2% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 15.2% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 10.3% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 11.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 68.8% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 14.8% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 79.8% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 69.0% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 26.9% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 48.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $46,771 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $112,000 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $683 | $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 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