ZIP code
06370
in Oakdale, ConnecticutPopulation 7,327
61.16/ 100
Ranked #4,035 of 32,066 US ZIPs (top 12.6%)
Ranked #155 of 277 Connecticut ZIPs (bottom 44%)
Ranked #11 of 30 Norwich-New London, CT ZIPs (top 37%)
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.
Expected annual disaster loss
$0
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Outer-floodplain exposure
8.2%
in the top 4.6% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Colon-cancer screening
73.6%
in the top 5.7% nationally
Higher is healthier
ST49thUS94thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fatal road crashes
2.7 per 100,000 residents per year
in the bottom 9.5% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›Diabetes
8.9%
in the bottom 8.2% nationally
Lower is healthier
ST25thUS8thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Transportation noise
0.53%
in the bottom 16% nationally
Lower is healthier
ST6thUS16thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & 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 ›The read
By the composite health measure, Oakdale, Connecticut (ZIP 06370) ranks in the top 12.6% healthiest ZIPs nationally (4,035th) and the bottom 44% of Connecticut (155th).
The picture here is genuinely mixed, with readings on both sides: modeled expected annual loss lands at the national minimum, and colon screening sits in the top 5.7% nationally. Fatal road crashes is in the bottom 9.5% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Poverty resides in the bottom 11.3% nationally. Distance to a community health center registers at the national minimum, shared with about 23% of ZIPs. Modeled tree cover rests in the top 11.3% nationally, home broadband subscription stands in the top 11.8% nationally, and modeled diabetes lies in the bottom 8.2% nationally. On the other side, outer-floodplain exposure lands in the top 4.6% nationally.
Read against the ZIPs closest to it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. To spell things out, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Close by, ZIP 06333, just across the boundary, ranks healthier overall.
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 Norwich-New London, CT 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 75%
21%
Social Need / SDOH
healthier than 68%
16%
Environmental Hazard
healthier than 66%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 86%
7%
Climate / Disaster Risk
healthier than 86%
5%
Healthcare Access
healthier than 72%
5%
About typical
Mental Health
healthier than 56%
8%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 94%
14%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 42%
13%
Disability
healthier than 46%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Risk Behavior
healthier than 39%
11%
Mental Health
healthier than 27%
8%
Lifting this score
Chronic Disease Burden
healthier than 76%
21%
Environmental Hazard
healthier than 84%
14%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 92%
5%
Healthcare Access
healthier than 64%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Holding it back
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 32%
8%
“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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
06333
Connecticutshares a border
Score 66.01
Closest healthier
06385
Connecticutshares a border
Score 62.27
Similar health profile
06076
Connecticut99% similar profile
Score 60.70
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 | 26.8% | 24.3–29.8 |
| High blood pressure among adults | 33.5% | 30.4–37.1 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–10.0 |
| Current asthma among adults | 11.7% | 10.5–13.2 |
| Coronary heart disease among adults | 5.7% | 5.0–6.5 |
| Chronic obstructive pulmonary disease among adults | 5.8% | 4.9–6.9 |
| Depression among adults | 23.3% | 20.5–26.6 |
| Diagnosed diabetes among adults | 8.9% | 7.7–10.3 |
| High cholesterol among adults who have ever been screened | 36.3% | 33.1–39.9 |
| Obesity among adults | 31.2% | 26.7–36.6 |
| Stroke among adults | 3.0% | 2.6–3.3 |
| All teeth lost among adults aged >=65 years | 7.4% | 6.0–9.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.0% | 5.6–8.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 73.2–79.0 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 78.2–83.6 |
| Cholesterol screening among adults | 90.1% | 88.6–91.6 |
| Colorectal cancer screening among adults aged 45–75 years | 73.6% | 70.0–77.1 |
| Visited dentist or dental clinic in the past year among adults | 75.1% | 72.4–77.7 |
| Mammography use among women aged 50-74 years | 79.5% | 74.0–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 14.1–19.2 |
| Current cigarette smoking among adults | 10.2% | 8.3–12.4 |
| No leisure-time physical activity among adults | 23.0% | 19.6–27.0 |
| Short sleep duration among adults | 35.2% | 30.9–39.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.2% | 13.0–17.7 |
| Frequent mental distress among adults | 16.0% | 14.1–18.1 |
| Frequent physical distress among adults | 12.7% | 11.2–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.0–14.8 |
| Any disability among adults | 26.4% | 23.1–30.2 |
| Hearing disability among adults | 5.9% | 5.2–6.8 |
| Independent living disability among adults | 6.3% | 5.5–7.4 |
| Mobility disability among adults | 10.8% | 9.2–12.6 |
| Self-care disability among adults | 2.9% | 2.5–3.4 |
| Vision disability among adults | 3.7% | 3.2–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.4–26.9 |
| Food insecurity in the past 12 months among adults | 9.7% | 7.9–11.8 |
| Received food stamps in the past 12 months among adults | 7.1% | 5.6–8.8 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.4–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.2–7.2 |
| Loneliness among adults | 31.6% | 28.0–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.9–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | CT median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.4% | 10.6% (3.1–25.8%) n=32,364 | 5.8% (2.3–20.8%) n=278 |
| Uninsured 18–64 | 4.2% | 9.0% (1.5–24.3%) n=32,286 | 4.5% (1.2–12.9%) n=277 |
| No HS diploma (25+) | 7.5% | 7.9% (1.8–20.7%) n=32,505 | 4.6% (1.1–14.3%) n=278 |
| Bachelor's or higher (25+) | 31.7% | 23.3% (9.2–53.6%) n=32,505 | 43.6% (19.2–70.7%) n=278 |
| Unemployment rate (16+) | 3.6% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.6–9.1%) n=277 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–13.7%) n=278 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 93.7% (86.9–98.8%) n=278 |
| Housing cost burden (≥30% income) | 24.7% | 23.7% (10.6–40.0%) n=32,322 | 29.3% (18.2–44.9%) n=278 |
| Homeownership rate | 92.4% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (41.3–93.1%) n=278 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–3.8%) n=278 |
| Foreign-born population | 4.7% | 2.6% (0.0–18.6%) n=32,553 | 9.3% (2.1–22.3%) n=278 |
| Single-parent households | 55.4% | 53.6% (37.3–74.1%) n=32,087 | 51.1% (36.0–68.7%) n=277 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 19.8% (13.4–30.2%) n=278 |
| Median age | 44.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.1 yr (34.7–53.2) n=278 |
| Median household income | $105,700 | $72,070 ($46,039–$118,707) n=30,318 | $107,247 ($63,371–$163,278) n=270 |
| Median home value | $332,500 | $222,200 ($100,300–$579,820) n=30,049 | $365,900 ($239,080–$622,060) n=268 |
| Median gross rent | $1,195 | $1,021 ($677–$1,912) n=25,670 | $1,450 ($1,128–$2,175) n=247 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | CT median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.2 yr ± 1.23 | 78.9 yr (74.7–82.8) n=31,308 | 81.2 yr (77.7–83.5) n=266 |
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 1.23 years of 80.2, 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