ZIP code
19123
in Philadelphia, PennsylvaniaPopulation 19,681
49.08/ 100
Ranked #17,548 of 32,066 US ZIPs (bottom 45%)
Ranked #995 of 1,748 Pennsylvania ZIPs (bottom 43%)
Ranked #295 of 361 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD ZIPs (bottom 18%)
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.
Walkability
390 intersections/sq mi
in the top 0.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Transportation noise
29.8%
in the top 1.2% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Transit access
8.3 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST97thUS98thDefinition & 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 ›Child-care access
1 per 1,000 residents
in the top 2.3% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of child day-care services 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 ›Households without a vehicle
30.3%
in the top 2.4% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Pharmacy access
0.69 per 1,000 residents
in the top 2.4% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of pharmacies located 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 ›Recreation access
1.5 per 1,000 residents
in the top 3.2% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Grocery access
0.32 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST96thUS97thDefinition & 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 ›Outpatient-care access
0.74 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of outpatient clinics located 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 ›Mental-health provider access
0.21 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of mental-health clinics located 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 ›The read
On the limited readings gathered so far, ZIP 19123, one of several in Philadelphia, Pennsylvania lands in the bottom 45% nationally (17,548th) and the bottom 43% of Pennsylvania (995th), based on limited data; treat as directional.
What the available data indicates is laid out plainly: walkability rests in the top 0.3% nationally, transit settles in the top 1.9% nationally, and childcare lands in the top 2.3% nationally. Pharmacy rests in the top 2.4% nationally, recreation settles in the top 3.2% nationally, and grocery lands in the top 3.4% nationally. Outpatient rests in the top 3.5% nationally, and mental-health providers settles in the top 3.8% nationally. Set against that, modeled transportation noise lands in the top 1.2% nationally, and households without a vehicle rests in the top 2.4% nationally.
Placed beside its immediate neighbors, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put plainly, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. A healthier nearby ZIP overall is ZIP 19106, 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
Social Need / SDOH
healthier than 97%
19%
Preventive CarePartial
healthier than 89%
15%
Healthcare Access
healthier than 92%
6%
About typical
Climate / Disaster Risk
healthier than 56%
6%
Holding it back
Environmental Hazard
healthier than 3%
16%
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
Social Need / SDOH
healthier than 92%
19%
Preventive CarePartial
healthier than 87%
15%
Healthcare Access
healthier than 96%
6%
About typical
Climate / Disaster Risk
healthier than 59%
6%
Holding it back
Environmental Hazard
in the bottom 0.5%
16%
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 74.3 ± 1.7 years. A median household income of $102,106 predicts 80.2 years — 5.9 years below.
Ranked #5,729 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 74.3 ± 1.7 years.
Ranked #504 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
19106
Pennsylvaniashares a border
Score 69.74
Closest healthier
19107
Pennsylvaniashares a border
Score 60.54
Similar health profile
46567
Indiana96% similar profile
Score 48.13
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 | 19.5% | 16.7–22.3 |
PreventionCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Colorectal cancer screening among adults aged 45–75 years | 68.6% | 64.8–72.3 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 63.4–68.9 |
| Mammography use among women aged 50-74 years | 80.2% | 74.9–84.9 |
Health Risk BehaviorsCDC PLACES 2022 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Short sleep duration among adults | 36.2% | 32.6–40.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | PA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.4% | 10.6% (3.1–25.8%) n=32,364 | 9.3% (2.1–21.6%) n=1,759 |
| Uninsured 18–64 | 6.3% | 9.0% (1.5–24.3%) n=32,286 | 6.3% (0.0–16.6%) n=1,753 |
| No HS diploma (25+) | 5.2% | 7.9% (1.8–20.7%) n=32,505 | 7.0% (1.5–16.1%) n=1,762 |
| Bachelor's or higher (25+) | 65.8% | 23.3% (9.2–53.6%) n=32,505 | 21.9% (8.9–50.4%) n=1,762 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 3.9% (0.0–9.6%) n=1,755 |
| Households without a vehicle | 30.3% | 3.9% (0.0–12.5%) n=32,322 | 4.8% (0.0–15.6%) n=1,758 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 88.2% (75.7–97.3%) n=1,758 |
| Housing cost burden (≥30% income) | 32.9% | 23.7% (10.6–40.0%) n=32,322 | 21.9% (9.9–35.3%) n=1,758 |
| Homeownership rate | 35.1% | 78.7% (51.7–94.0%) n=32,322 | 80.1% (57.1–94.5%) n=1,758 |
| Crowded housing (>1 per room) | 3.3% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–3.3%) n=1,758 |
| Foreign-born population | 13.4% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–10.2%) n=1,763 |
| Single-parent households | 54.2% | 53.6% (37.3–74.1%) n=32,087 | 56.3% (38.5–72.8%) n=1,744 |
| Population 65+ | 10.4% | 19.4% (10.8–33.6%) n=32,553 | 21.1% (12.3–31.4%) n=1,763 |
| Median age | 33.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (33.9–55.5) n=1,752 |
| Median household income | $102,106 | $72,070 ($46,039–$118,707) n=30,318 | $71,250 ($50,880–$112,747) n=1,642 |
| Median home value | $539,500 | $222,200 ($100,300–$579,820) n=30,049 | $197,200 ($99,000–$382,120) n=1,649 |
| Median gross rent | $1,740 | $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 | 74.3 yr ± 0.86 | 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 0.86 years of 74.3, 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