ZIP code
31554
in Nicholls, GeorgiaPopulation 7,393
33.50/ 100
Ranked #29,899 of 32,066 US ZIPs (bottom 6.8%)
Ranked #670 of 711 Georgia ZIPs (bottom 5.8%)
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.
Uninsured (under 65)
21.7%
in the top 3.5% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Self-care disability
7.4%
in the top 4.4% nationally
Lower is healthier
ST91stUS96thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Colon-cancer screening
54.6%
in the bottom 4.6% nationally
Higher is healthier
ST2ndUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Tooth loss
26.8%
in the top 5.4% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Utility shut-off threat
18.6%
in the top 3.4% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fair or poor health
31.8%
in the top 5.6% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Independent-living disability
13.5%
in the top 5.2% nationally
Lower is healthier
ST91stUS95thDefinition & 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 ›Lack of transportation
17.3%
in the top 3.9% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Vision disability
9.5%
in the top 6.0% nationally
Lower is healthier
ST91stUS94thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Cognitive disability
21.4%
in the top 5.1% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
Nicholls, Georgia (ZIP 31554), by its composite score, sits in the bottom 6.8% nationally (29,899th) and the bottom 5.8% of Georgia (670th).
The data opens on real and measurable burdens: modeled uninsured settles in the top 3.5% nationally, and self-care disability sits in the top 4.4% nationally. Modeled colon screening lies in the bottom 4.6% nationally, and tooth loss rests in the top 5.4% nationally. Modeled utility shutoff resides in the top 3.4% nationally, fair or poor health is in the top 5.6% nationally, and independent living disability lands in the top 5.2% nationally. Modeled transportation stands in the top 3.9% nationally, vision disability registers in the top 6.0% nationally, and cognitive disability settles in the top 5.1% nationally.
For a healthier comparison close by, see ZIP 31503, just across the boundary. Modeled tooth loss settles in the top 5.4% 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 87%
14%
About typical
Healthcare Access
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 2%
11%
Mental Health
healthier than 24%
8%
Disability
healthier than 7%
7%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Environmental Hazard
healthier than 84%
14%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 3%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 28%
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 73.0 ± 1.3 years. A median household income of $53,504 predicts 77.6 years — 4.6 years below.
Ranked #5,367 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 87.1; chronic-disease standing 27.1 — 60 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,728 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
31503
Georgiashares a border
Score 38.01
Closest healthier
31510
Georgiashares a border
Score 43.14
Similar health profile
30453
Georgia99% similar profile
Score 33.68
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 | 26.2% | 23.9–28.6 |
| High blood pressure among adults | 43.4% | 40.1–46.8 |
| Cancer (non-skin) or melanoma among adults | 6.0% | 5.5–6.4 |
| Current asthma among adults | 10.3% | 9.3–11.4 |
| Coronary heart disease among adults | 8.1% | 7.4–8.8 |
| Chronic obstructive pulmonary disease among adults | 10.6% | 9.5–11.8 |
| Depression among adults | 21.1% | 18.6–23.7 |
| Diagnosed diabetes among adults | 16.6% | 15.0–18.3 |
| High cholesterol among adults who have ever been screened | 37.5% | 34.4–40.7 |
| Obesity among adults | 42.3% | 36.3–48.5 |
| Stroke among adults | 4.8% | 4.4–5.2 |
| All teeth lost among adults aged >=65 years | 26.8% | 24.1–30.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 21.7% | 18.5–25.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.5% | 70.9–76.1 |
| Visits to doctor for routine checkup within the past year among adults | 74.7% | 71.5–77.8 |
| Cholesterol screening among adults | 78.8% | 76.4–81.2 |
| Colorectal cancer screening among adults aged 45–75 years | 54.6% | 50.6–59.4 |
| Visited dentist or dental clinic in the past year among adults | 41.0% | 38.5–44.4 |
| Mammography use among women aged 50-74 years | 70.8% | 65.2–76.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.2–17.9 |
| Current cigarette smoking among adults | 26.6% | 23.6–29.7 |
| No leisure-time physical activity among adults | 37.2% | 33.0–41.6 |
| Short sleep duration among adults | 40.4% | 35.4–46.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.8% | 28.6–35.2 |
| Frequent mental distress among adults | 21.5% | 19.5–23.5 |
| Frequent physical distress among adults | 18.4% | 16.6–20.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 21.4% | 19.2–23.7 |
| Any disability among adults | 41.4% | 37.4–45.4 |
| Hearing disability among adults | 8.1% | 7.3–8.8 |
| Independent living disability among adults | 13.5% | 12.1–15.0 |
| Mobility disability among adults | 19.3% | 17.3–21.4 |
| Self-care disability among adults | 7.4% | 6.6–8.2 |
| Vision disability among adults | 9.5% | 8.5–10.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 29.8% | 26.2–33.6 |
| Food insecurity in the past 12 months among adults | 33.2% | 29.0–37.2 |
| Received food stamps in the past 12 months among adults | 31.9% | 28.0–35.7 |
| Housing insecurity in the past 12 months among adults | 24.8% | 21.5–28.0 |
| Lack of reliable transportation in the past 12 months among adults | 17.3% | 15.1–19.6 |
| Loneliness among adults | 39.4% | 34.8–44.3 |
| Utility services shut-off threat in the past 12 months among adults | 18.6% | 16.3–20.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.3% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 26.2% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 22.2% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 5.8% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 5.9% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 83.0% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 21.2% | 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) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 1.9% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 38.4% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 10.7% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 36.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $53,504 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $98,700 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $646 | $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 | 73.0 yr ± 0.66 | 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 0.66 years of 73.0, 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