ZIP code
31705
in Albany, GeorgiaPopulation 30,791
29.60/ 100
Ranked #30,848 of 32,066 US ZIPs (bottom 3.8%)
Ranked #697 of 711 Georgia ZIPs (bottom 2.0%)
Ranked #15 of 15 Albany, GA ZIPs (bottom 6.7%)
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.
Self-care disability
9.4%
in the top 1.1% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Independent-living disability
17.3%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Vision disability
12.4%
in the top 1.8% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Short sleep
48.2%
in the top 0.8% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fair or poor health
35.7%
in the top 2.2% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Utility shut-off threat
23.9%
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Lack of transportation
22.4%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Loneliness
42.9%
in the top 1.3% nationally
Lower is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Diabetes
20.8%
in the top 2.7% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Housing insecurity
30.8%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
ZIP 31705, one of several in Albany, Georgia, in overall standing, comes out in the bottom 3.8% nationally (30,848th) and the bottom 2.0% of Georgia (697th).
The profile carries real weight, and several readings make that plain: modeled self-care disability rests in the top 1.1% nationally, independent living disability settles in the top 0.9% nationally, and vision disability lands in the top 1.8% nationally. Modeled short sleep rests in the top 0.8% nationally, fair or poor health settles in the top 2.2% nationally, and utility shutoff lands in the top 1.2% nationally. Modeled transportation rests in the top 1.3% nationally, and loneliness settles in the top 1.3% nationally. Modeled diabetes lands in the top 2.7% nationally, and housing insecurity rests in the top 1.4% nationally.
Set within its surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. The closest healthier ZIP overall is ZIP 31701, 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 Albany, GA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 86%
5%
About typical
Environmental Hazard
healthier than 42%
14%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Healthcare Access
healthier than 87%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 15%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 21%
5%
Lifting this score
Healthcare Access
healthier than 79%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
in the bottom 0.00%
16%
Environmental Hazard
healthier than 14%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 14%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 29%
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.8 ± 1.2 years. A median household income of $42,972 predicts 76.7 years — 3.0 years below.
Ranked #4,076 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
31701
Georgiashares a border
Score 30.61
Closest healthier
31716
Georgiashares a border
Score 43.47
Similar health profile
66612
Kansas99% similar profile
Score 34.34
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 | 29.9% | 27.1–32.8 |
| High blood pressure among adults | 48.5% | 44.8–52.3 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.4–6.4 |
| Current asthma among adults | 12.7% | 11.4–14.2 |
| Coronary heart disease among adults | 8.5% | 7.8–9.3 |
| Chronic obstructive pulmonary disease among adults | 11.4% | 10.3–12.5 |
| Depression among adults | 20.4% | 17.7–23.4 |
| Diagnosed diabetes among adults | 20.8% | 18.7–22.9 |
| High cholesterol among adults who have ever been screened | 36.8% | 33.4–40.4 |
| Obesity among adults | 45.2% | 38.8–51.8 |
| Stroke among adults | 6.2% | 5.8–6.7 |
| All teeth lost among adults aged >=65 years | 28.9% | 25.2–32.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.5% | 17.1–22.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 76.1–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 80.9% | 77.9–83.8 |
| Cholesterol screening among adults | 82.1% | 80.0–84.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 56.7–65.8 |
| Visited dentist or dental clinic in the past year among adults | 43.1% | 39.8–46.3 |
| Mammography use among women aged 50-74 years | 74.9% | 68.3–80.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 11.0% | 9.2–13.2 |
| Current cigarette smoking among adults | 22.7% | 20.1–25.5 |
| No leisure-time physical activity among adults | 39.8% | 35.4–44.6 |
| Short sleep duration among adults | 48.2% | 42.6–54.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 35.7% | 32.5–39.0 |
| Frequent mental distress among adults | 22.3% | 20.0–24.6 |
| Frequent physical distress among adults | 19.4% | 17.5–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.6% | 20.4–24.9 |
| Any disability among adults | 43.6% | 39.4–48.0 |
| Hearing disability among adults | 7.2% | 6.5–8.0 |
| Independent living disability among adults | 17.3% | 15.7–19.0 |
| Mobility disability among adults | 24.0% | 21.6–26.4 |
| Self-care disability among adults | 9.4% | 8.7–10.2 |
| Vision disability among adults | 12.4% | 11.4–13.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.0% | 27.1–35.0 |
| Food insecurity in the past 12 months among adults | 41.4% | 37.9–45.2 |
| Received food stamps in the past 12 months among adults | 42.5% | 39.3–45.9 |
| Housing insecurity in the past 12 months among adults | 30.8% | 27.7–34.2 |
| Lack of reliable transportation in the past 12 months among adults | 22.4% | 20.2–24.7 |
| Loneliness among adults | 42.9% | 37.8–48.1 |
| Utility services shut-off threat in the past 12 months among adults | 23.9% | 21.5–26.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 31.9% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 24.2% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 19.8% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 12.4% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 15.2% | 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 | 79.2% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 37.2% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 48.4% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 3.2% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 3.0% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 35.2% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 15.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 34.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $42,972 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $102,900 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $871 | $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 | 73.8 yr ± 0.60 | 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 0.60 years of 73.8, 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