ZIP code
30093
in Norcross, GeorgiaPopulation 46,410
45.13/ 100
Ranked #22,267 of 32,066 US ZIPs (bottom 31%)
Ranked #410 of 711 Georgia ZIPs (bottom 42%)
Ranked #184 of 206 Atlanta-Sandy Springs-Roswell, GA ZIPs (bottom 10.7%)
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.
Uninsured (under 65)
30.9%
in the top 1.0% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Colon-cancer screening
51.2%
in the bottom 2.5% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Loneliness
43.3%
in the top 1.1% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing-cost burden
58.5%
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Housing insecurity
27.3%
in the top 2.8% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Homeownership rate
29.6%
in the bottom 3.1% nationally
Higher is healthier
ST3rdUS3rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Food insecurity
33.5%
in the top 4.2% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST90thUS96thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Lack of transportation
16.3%
in the top 4.7% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Mammography
67.1%
in the bottom 5.7% nationally
Higher is healthier
ST1stUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
Overall, ZIP 30093, one of several in Norcross, Georgia places in the bottom 31% nationally (22,267th) and the bottom 42% of Georgia (410th).
The data opens on real and measurable burdens: modeled uninsured lies in the top 1.0% nationally, and colon screening rests in the bottom 2.5% nationally. Modeled loneliness resides in the top 1.1% nationally, and housing-cost burden is in the top 1.3% nationally. Modeled housing insecurity lands in the top 2.8% nationally, homeownership stands in the bottom 3.1% nationally, and modeled food insecurity registers in the top 4.2% nationally. Modeled air-toxics cancer risk settles in the top 4.5% nationally, transportation sits in the top 4.7% nationally, and mammography lies in the bottom 5.7% nationally.
Beside the areas that surround it, park land runs far lower than the surrounding ZIPs on this measure. For readers new to these terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Among nearby ZIPs, the nearest healthier one overall is ZIP 30044, 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 Atlanta-Sandy Springs-Roswell, GA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Mental Health
healthier than 73%
8%
Healthcare Access
healthier than 81%
5%
About typical
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 18%
11%
Disability
healthier than 29%
7%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Mental Health
healthier than 78%
8%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 81%
5%
About typical
Disability
healthier than 44%
7%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 23%
11%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 76%
5%
About typical
Mental Health
healthier than 49%
8%
Holding it back
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 38%
14%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 6%
11%
Disability
healthier than 12%
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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 23.8; chronic-disease standing 84.8 — 61 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,522 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
30044
Georgiashares a border
Score 55.04
Closest healthier
30047
Georgiashares a border
Score 55.87
Similar health profile
60505
Illinois98% similar profile
Score 44.45
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 | 16.5% | 14.5–18.6 |
| High blood pressure among adults | 31.0% | 27.8–34.3 |
| Cancer (non-skin) or melanoma among adults | 3.4% | 3.1–3.8 |
| Current asthma among adults | 9.5% | 8.4–10.6 |
| Coronary heart disease among adults | 4.7% | 4.2–5.2 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 5.0–6.1 |
| Depression among adults | 16.6% | 14.2–19.2 |
| Diagnosed diabetes among adults | 13.5% | 11.9–15.1 |
| High cholesterol among adults who have ever been screened | 33.1% | 29.7–36.6 |
| Obesity among adults | 39.7% | 34.5–45.2 |
| Stroke among adults | 3.0% | 2.8–3.2 |
| All teeth lost among adults aged >=65 years | 19.7% | 16.4–23.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 30.9% | 28.0–33.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.9% | 65.5–72.1 |
| Visits to doctor for routine checkup within the past year among adults | 71.7% | 67.9–75.2 |
| Cholesterol screening among adults | 80.1% | 77.8–82.2 |
| Colorectal cancer screening among adults aged 45–75 years | 51.2% | 46.3–55.8 |
| Visited dentist or dental clinic in the past year among adults | 45.9% | 42.6–49.2 |
| Mammography use among women aged 50-74 years | 67.1% | 59.3–74.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.4% | 11.1–15.9 |
| Current cigarette smoking among adults | 16.2% | 14.3–18.4 |
| No leisure-time physical activity among adults | 37.1% | 33.0–41.2 |
| Short sleep duration among adults | 40.8% | 36.0–45.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.2% | 25.6–31.2 |
| Frequent mental distress among adults | 18.8% | 16.9–20.9 |
| Frequent physical distress among adults | 14.8% | 13.3–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.9% | 17.0–20.8 |
| Any disability among adults | 33.1% | 29.6–36.9 |
| Hearing disability among adults | 5.1% | 4.5–5.7 |
| Independent living disability among adults | 10.7% | 9.7–11.8 |
| Mobility disability among adults | 14.4% | 12.8–16.1 |
| Self-care disability among adults | 5.3% | 4.9–5.7 |
| Vision disability among adults | 8.7% | 8.0–9.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.4% | 27.7–35.3 |
| Food insecurity in the past 12 months among adults | 33.5% | 30.3–36.9 |
| Received food stamps in the past 12 months among adults | 25.9% | 23.2–28.5 |
| Housing insecurity in the past 12 months among adults | 27.3% | 24.4–30.3 |
| Lack of reliable transportation in the past 12 months among adults | 16.3% | 14.6–18.0 |
| Loneliness among adults | 43.3% | 38.6–48.0 |
| Utility services shut-off threat in the past 12 months among adults | 16.0% | 14.2–17.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.9% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 44.6% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 31.9% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 20.2% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 3.1% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 6.4% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 88.4% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 58.5% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 29.6% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 4.8% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 47.4% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 35.7% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 7.0% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 32.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | $48,404 | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $265,700 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | $1,649 | $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