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ZipVitals

ZIP code

56273

in New London, MinnesotaPopulation 4,956

60.55/ 100

Ranked #4,443 of 32,066 US ZIPs (top 13.9%)

Ranked #120 of 866 Minnesota ZIPs (top 13.9%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Arsenic in groundwater

39.6%

in the top 1.6% nationally

Lower is healthier

ST95th
US98th
Definition & source ›

The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.

A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.

Full methodology ›

Radon

3.4 pCi/L

in the top 6.0% nationally

Lower is healthier

ST83rd
US94th
Definition & source ›

The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.

Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.

Full methodology ›

Housing insecurity

6.6%

in the bottom 4.9% nationally

Lower is healthier

ST5th
US5th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Utility shut-off threat

4.2%

in the bottom 5.0% nationally

Lower is healthier

ST6th
US5th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Mammography

82.3%

in the top 3.4% nationally

Higher is healthier

ST98th
US97th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Food insecurity

7.6%

in the bottom 5.8% nationally

Lower is healthier

ST5th
US6th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Colon-cancer screening

74.6%

in the top 3.7% nationally

Higher is healthier

ST95th
US96th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Short sleep

29.5%

in the bottom 7.5% nationally

Lower is healthier

ST36th
US7th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Loneliness

28.2%

in the bottom 8.4% nationally

Lower is healthier

ST21st
US8th
Definition & source ›

The estimated share of adults who report feeling lonely.

Full methodology ›

Fine-particle (PM2.5) exceedance

1.1%

in the top 9.1% nationally

Lower is healthier

ST47th
US91st
Definition & source ›

The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.

Full methodology ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

The read

Judged by its overall standing, New London, Minnesota (ZIP 56273) sits in the top 13.9% healthiest ZIPs nationally (4,443rd) and the top 13.9% of Minnesota (120th).

continue reading

A balanced showing across the data, with a few readings each side: modeled housing insecurity stands in the bottom 4.9% nationally, utility shutoff resides in the bottom 5.0% nationally, and mammography sits in the top 3.4% nationally. Modeled food insecurity stands in the bottom 5.8% nationally, colon screening resides in the top 3.7% nationally, and short sleep sits in the bottom 7.5% nationally. Modeled loneliness stands in the bottom 8.4% nationally. On the other hand, modeled arsenic resides in the top 1.6% nationally, and radon sits in the top 6.0% nationally. Modeled fine-particle stands in the top 9.1% nationally.

Put plainly, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. A healthier nearby ZIP overall is ZIP 56321, about 22 miles away.

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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 75%

21%

Social Need / SDOH

healthier than 69%

16%

Preventive Care

healthier than 91%

13%

Risk Behavior

healthier than 81%

11%

Mental Health

healthier than 79%

8%

Disability

healthier than 86%

7%

Climate / Disaster Risk

healthier than 68%

5%

Holding it back

Environmental Hazard

healthier than 14%

14%

Healthcare Access

healthier than 32%

5%

Lifting this score

Social Need / SDOH

healthier than 63%

16%

Preventive Care

healthier than 95%

13%

Risk Behavior

healthier than 83%

11%

Mental Health

healthier than 92%

8%

Disability

healthier than 79%

7%

Healthcare Access

healthier than 71%

5%

About typical

Chronic Disease Burden

healthier than 58%

21%

Holding it back

Environmental Hazard

healthier than 20%

14%

Climate / Disaster Risk

healthier than 39%

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.

  • Heavy environment, light chronic burden

    Where the environment and chronic illness point in opposite directions

    Environmental-hazard standing 14.1; chronic-disease standing 75.3 — 61 points apart, heavier on the environment than it is on chronic illness.

    Ranked #15,536 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.

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
MeasureCrude prevalence95% CI
Arthritis among adults24.6%21.7–27.8
High blood pressure among adults31.6%28.0–35.4
Cancer (non-skin) or melanoma among adults10.3%9.4–11.3
Current asthma among adults9.8%8.6–11.0
Coronary heart disease among adults6.3%5.6–7.1
Chronic obstructive pulmonary disease among adults5.3%4.6–6.2
Depression among adults22.9%19.8–26.4
Diagnosed diabetes among adults10.4%8.8–12.0
High cholesterol among adults who have ever been screened34.4%30.4–38.5
Obesity among adults37.4%30.7–44.3
Stroke among adults3.2%2.8–3.5
All teeth lost among adults aged >=65 years9.9%7.9–11.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years5.9%4.8–7.1
Taking medicine to control high blood pressure among adults with high blood pressure79.4%76.4–82.1
Visits to doctor for routine checkup within the past year among adults76.7%73.3–80.1
Cholesterol screening among adults87.8%86.2–89.3
Colorectal cancer screening among adults aged 45–75 years74.6%70.1–78.4
Visited dentist or dental clinic in the past year among adults72.9%69.8–75.7
Mammography use among women aged 50-74 years82.3%76.1–87.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.6%15.6–22.0
Current cigarette smoking among adults11.9%9.9–14.1
No leisure-time physical activity among adults19.9%16.4–23.8
Short sleep duration among adults29.5%24.3–34.9
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults13.6%11.6–15.8
Frequent mental distress among adults13.4%11.8–15.2
Frequent physical distress among adults11.0%9.6–12.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults11.0%9.6–12.6
Any disability among adults25.4%21.8–29.3
Hearing disability among adults7.5%6.6–8.4
Independent living disability among adults6.1%5.3–6.9
Mobility disability among adults10.8%9.2–12.6
Self-care disability among adults2.8%2.5–3.2
Vision disability among adults3.4%3.0–3.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults18.8%16.0–22.0
Food insecurity in the past 12 months among adults7.6%6.3–9.2
Received food stamps in the past 12 months among adults5.2%4.3–6.4
Housing insecurity in the past 12 months among adults6.6%5.5–7.9
Lack of reliable transportation in the past 12 months among adults5.2%4.5–6.0
Loneliness among adults28.2%24.0–33.1
Utility services shut-off threat in the past 12 months among adults4.2%3.6–4.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MN median (p10–p90)
Poverty rate4.9%10.6% (3.1–25.8%) n=32,3648.4% (3.6–16.8%) n=872
Uninsured 18–644.3%9.0% (1.5–24.3%) n=32,2866.2% (2.3–12.7%) n=872
No HS diploma (25+)3.8%7.9% (1.8–20.7%) n=32,5055.5% (2.2–11.2%) n=873
Bachelor's or higher (25+)35.2%23.3% (9.2–53.6%) n=32,50523.4% (13.6–48.8%) n=873
Unemployment rate (16+)2.1%3.9% (0.0–9.8%) n=32,2743.2% (0.8–7.1%) n=872
Households without a vehicle1.9%3.9% (0.0–12.5%) n=32,3223.4% (0.4–9.1%) n=871
Broadband subscription91.0%89.3% (75.1–97.1%) n=32,32289.2% (81.6–95.3%) n=871
Housing cost burden (≥30% income)18.2%23.7% (10.6–40.0%) n=32,32222.1% (14.0–31.1%) n=871
Homeownership rate86.9%78.7% (51.7–94.0%) n=32,32283.9% (67.0–94.0%) n=871
Crowded housing (>1 per room)0.4%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.9%) n=871
Foreign-born population2.0%2.6% (0.0–18.6%) n=32,5531.8% (0.1–11.9%) n=873
Single-parent households59.0%53.6% (37.3–74.1%) n=32,08756.9% (44.1–70.7%) n=870
Population 65+23.1%19.4% (10.8–33.6%) n=32,55320.2% (12.7–30.7%) n=873
Median age42.2 yr42.2 yr (33.0–56.3) n=32,29242.3 yr (35.2–54.3) n=873
Median household income$90,122$72,070 ($46,039–$118,707) n=30,318$77,917 ($58,441–$110,840) n=864
Median home value$320,100$222,200 ($100,300–$579,820) n=30,049$234,000 ($132,740–$396,860) n=857
Median gross rent$956$1,021 ($677–$1,912) n=25,670$925 ($650–$1,588) n=759
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MN median (p10–p90)
Life expectancy at birth82.0 yr ± 0.9378.9 yr (74.7–82.8) n=31,30881.1 yr (78.3–84.8) n=864

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 0.93 years of 82.0, and it’s very unlikely to be off by more than twice that.

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