ZIP code
01119
in Springfield, MassachusettsPopulation 13,616
44.87/ 100
Ranked #22,552 of 32,066 US ZIPs (bottom 30%)
Ranked #503 of 527 Massachusetts ZIPs (bottom 4.6%)
Ranked #30 of 38 Springfield, MA ZIPs (bottom 21%)
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.
Loneliness
40.2%
in the top 3.8% nationally
Lower is healthier
ST96thUS96thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Walkability
120 intersections/sq mi
in the top 7.4% nationally
Higher is healthier
ST82ndUS93rdDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Transit access
3.2 per 1,000 residents
in the top 9.7% nationally
Higher is healthier
ST83rdUS90thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Housing insecurity
19.5%
in the top 9.7% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lack of transportation
12.8%
in the top 10.9% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›High cholesterol
32.6%
in the bottom 8.1% nationally
Lower is healthier
ST9thUS8thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Mammography
80.4%
in the top 9.1% nationally
Higher is healthier
ST14thUS91stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
12.7%
in the top 12.0% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Food insecurity
23%
in the top 14.0% nationally
Lower is healthier
ST93rdUS86thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Cognitive disability
18.8%
in the top 15% nationally
Lower is healthier
ST93rdUS85thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
In overall standing, ZIP 01119, one of several in Springfield, Massachusetts comes out in the bottom 30% nationally (22,552nd) and the bottom 4.6% of Massachusetts (503rd).
The measures fall on both sides of the ledger for this area: walkability sits in the top 7.4% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Transit registers in the top 9.7% nationally. Distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Modeled high cholesterol lands in the bottom 8.1% nationally. Set against that, modeled loneliness is in the top 3.8% nationally. Fiber broadband resides at the national minimum, shared with about 19% of ZIPs. Modeled housing insecurity rests in the top 9.7% nationally, modeled transportation lies in the top 10.9% nationally, and households without a vehicle sits in the top 11.8% nationally.
Relative to the ZIPs around it, park land runs far higher than the surrounding ZIPs on this measure. In plain terms, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The nearest healthier ZIP overall is ZIP 01118, 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 Springfield, MA metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 76%
5%
Healthcare Access
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 55%
21%
Preventive Care
healthier than 54%
13%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Environmental Hazard
healthier than 22%
14%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 29%
7%
Lifting this score
Climate / Disaster Risk
healthier than 80%
5%
Healthcare Access
healthier than 71%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 3%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 7%
7%
Lifting this score
Healthcare Access
healthier than 74%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Environmental Hazard
healthier than 46%
14%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Social Need / SDOH
healthier than 17%
16%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 23%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
01104
Massachusettsshares a border
Score 36.22
Closest healthier
01118
Massachusettsshares a border
Score 51.52
Similar health profile
01603
Massachusetts99% similar profile
Score 45.32
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 | 27.1% | 24.6–29.5 |
| High blood pressure among adults | 33.9% | 30.9–36.8 |
| Cancer (non-skin) or melanoma among adults | 7.0% | 6.4–7.7 |
| Current asthma among adults | 13.2% | 11.8–14.7 |
| Coronary heart disease among adults | 6.5% | 5.9–7.2 |
| Chronic obstructive pulmonary disease among adults | 7.3% | 6.6–8.1 |
| Depression among adults | 26.5% | 23.3–29.6 |
| Diagnosed diabetes among adults | 12.5% | 11.0–14.0 |
| High cholesterol among adults who have ever been screened | 32.6% | 29.5–35.6 |
| Obesity among adults | 35.5% | 30.7–40.4 |
| Stroke among adults | 3.8% | 3.5–4.1 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.4–21.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.7–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.6% | 73.1–77.9 |
| Visits to doctor for routine checkup within the past year among adults | 79.8% | 76.9–82.5 |
| Cholesterol screening among adults | 85.8% | 83.9–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.7% | 58.4–66.8 |
| Visited dentist or dental clinic in the past year among adults | 62.2% | 59.0–65.3 |
| Mammography use among women aged 50-74 years | 80.4% | 74.8–85.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.9–18.8 |
| Current cigarette smoking among adults | 14.6% | 12.6–16.5 |
| No leisure-time physical activity among adults | 31.5% | 27.9–35.2 |
| Short sleep duration among adults | 39.8% | 35.4–44.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.3% | 21.8–26.8 |
| Frequent mental distress among adults | 20.3% | 18.1–22.5 |
| Frequent physical distress among adults | 16.0% | 14.3–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.8% | 16.7–21.0 |
| Any disability among adults | 37.0% | 33.2–40.6 |
| Hearing disability among adults | 6.6% | 5.9–7.4 |
| Independent living disability among adults | 10.7% | 9.6–11.9 |
| Mobility disability among adults | 16.9% | 15.1–18.7 |
| Self-care disability among adults | 4.8% | 4.4–5.2 |
| Vision disability among adults | 6.7% | 6.1–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.6% | 28.2–35.3 |
| Food insecurity in the past 12 months among adults | 23.0% | 20.6–25.8 |
| Received food stamps in the past 12 months among adults | 27.4% | 24.7–30.3 |
| Housing insecurity in the past 12 months among adults | 19.5% | 17.4–21.9 |
| Lack of reliable transportation in the past 12 months among adults | 12.8% | 11.4–14.3 |
| Loneliness among adults | 40.2% | 36.2–44.3 |
| Utility services shut-off threat in the past 12 months among adults | 12.7% | 11.3–14.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.0% | 10.6% (3.1–25.8%) n=32,364 | 6.4% (2.6–16.9%) n=524 |
| Uninsured 18–64 | 4.9% | 9.0% (1.5–24.3%) n=32,286 | 2.4% (0.0–6.3%) n=525 |
| No HS diploma (25+) | 14.4% | 7.9% (1.8–20.7%) n=32,505 | 4.7% (1.1–15.2%) n=526 |
| Bachelor's or higher (25+) | 19.5% | 23.3% (9.2–53.6%) n=32,505 | 45.7% (23.6–77.5%) n=526 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (1.6–7.9%) n=523 |
| Households without a vehicle | 11.5% | 3.9% (0.0–12.5%) n=32,322 | 4.6% (0.4–20.2%) n=522 |
| Broadband subscription | 82.7% | 89.3% (75.1–97.1%) n=32,322 | 94.1% (87.2–98.4%) n=522 |
| Housing cost burden (≥30% income) | 35.4% | 23.7% (10.6–40.0%) n=32,322 | 30.5% (21.2–43.7%) n=522 |
| Homeownership rate | 76.5% | 78.7% (51.7–94.0%) n=32,322 | 79.1% (39.6–93.5%) n=522 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.8%) n=522 |
| Foreign-born population | 5.8% | 2.6% (0.0–18.6%) n=32,553 | 8.7% (1.9–28.4%) n=527 |
| Single-parent households | 47.2% | 53.6% (37.3–74.1%) n=32,087 | 52.5% (40.0–68.7%) n=520 |
| Population 65+ | 19.0% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–33.8%) n=527 |
| Median age | 36.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.3–57.2) n=524 |
| Median household income | $57,857 | $72,070 ($46,039–$118,707) n=30,318 | $110,450 ($68,196–$177,335) n=505 |
| Median home value | $245,100 | $222,200 ($100,300–$579,820) n=30,049 | $519,200 ($297,220–$949,670) n=508 |
| Median gross rent | $1,106 | $1,021 ($677–$1,912) n=25,670 | $1,659 ($1,104–$2,452) n=461 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.9 yr ± 0.69 | 78.9 yr (74.7–82.8) n=31,308 | 81.3 yr (78.1–84.4) n=514 |
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 0.69 years of 77.9, 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