ZIP code
19124
in Philadelphia, PennsylvaniaPopulation 71,004
26.58/ 100
Ranked #31,294 of 32,066 US ZIPs (bottom 2.5%)
Ranked #1,724 of 1,748 Pennsylvania ZIPs (bottom 1.4%)
Ranked #351 of 361 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD ZIPs (bottom 2.8%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
Some domains have limited local data — read this Score as directional
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.
Short sleep
45.3%
in the top 2.7% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Households without a vehicle
28%
in the top 2.7% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Walkability
190 intersections/sq mi
in the top 2.9% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Tooth loss
25.9%
in the top 6.2% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Expected annual disaster loss
$0
in the top 5.0% nationally
Lower is healthier
ST99thUS95thDefinition & 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 ›Colon-cancer screening
55.8%
in the bottom 5.8% nationally
Higher is healthier
ST1stUS6thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Transit access
4.9 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST90thUS95thDefinition & 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 ›Unemployment rate
12.6%
in the top 5.7% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Grocery access
0.22 per 1,000 residents
in the top 6.2% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Poverty rate
30.7%
in the top 6.5% nationally
Lower is healthier
ST96thUS94thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
Given the gaps in coverage here, ZIP 19124, one of several in Philadelphia, Pennsylvania lands in the bottom 2.5% nationally (31,294th) and the bottom 1.4% of Pennsylvania (1,724th), based on limited data; treat as directional.
The profile opens on partial but real readings: walkability stands in the top 2.9% nationally, transit lands in the top 5.4% nationally, and grocery is in the top 6.2% nationally. Against that, modeled short sleep resides in the top 2.7% nationally, households without a vehicle rests in the top 2.7% nationally, and modeled tooth loss lies in the top 6.2% nationally. Modeled expected annual loss sits in the top 5.0% nationally, and colon screening settles in the bottom 5.8% nationally. Unemployment registers in the top 5.7% nationally, and poverty stands in the top 6.5% nationally.
Held up against its neighbors, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined in plain terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. The nearest ZIP ranking healthier overall is ZIP 19111, 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 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 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 72%
6%
Healthcare Access
healthier than 81%
6%
Holding it back
Social Need / SDOH
healthier than 16%
19%
Environmental Hazard
healthier than 19%
16%
Preventive CarePartial
healthier than 6%
15%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
Lifting this score
Climate / Disaster Risk
healthier than 90%
6%
Healthcare Access
healthier than 83%
6%
Holding it back
Social Need / SDOH
healthier than 6%
19%
Environmental Hazard
healthier than 20%
16%
Preventive CarePartial
healthier than 4%
15%
Not placed: Chronic Disease Burden and Risk Behavior — too little of each is measured here to compare reliably. They still count toward the score (together 38% of it); we just will not publish a standing we cannot stand behind.
No data: Mental Health and Disability — not measured in this ZIP, so it is left out of the score entirely rather than estimated.
“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 72.7 ± 0.9 years. A median household income of $45,314 predicts 77.0 years — 4.3 years below.
Ranked #5,221 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 72.7 ± 0.9 years. The 47 nearest ZIP codes with estimates average 76.8 years — 4.1 years below them.
Ranked #3,059 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
19111
Pennsylvaniashares a border
Score 44.34
Closest healthier
19135
Pennsylvaniashares a border
Score 36.15
Similar health profile
40337
Kentucky100% similar profile
Score 37.79
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 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| All teeth lost among adults aged >=65 years | 25.9% | 22.2–29.8 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 55.8% | 51.6–60.0 |
| Visited dentist or dental clinic in the past year among adults | 45.3% | 42.0–48.5 |
| Mammography use among women aged 50-74 years | 73.8% | 67.4–79.6 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 45.3% | 41.3–49.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 30.7% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 13.7% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 18.1% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 14.7% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 12.6% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 28.0% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 90.2% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 40.8% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 62.3% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 2.9% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 18.3% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 29.6% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 9.0% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 32.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $45,314 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $161,800 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,124 | $1,021 ($677–$1,912) n=25,670 | $983 ($701–$1,527) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 72.7 yr ± 0.46 | 78.9 yr (74.7–82.8) n=31,308 | 79.2 yr (76.0–82.0) n=1,730 |
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 0.46 years of 72.7, 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