Philadelphia publishes an enormous amount of public data. Most of it is genuinely hard to use. Here's a practical map of what exists, why it's hard to use as published, and how to get an actual answer out of it.
OpenDataPhilly is the central hub, aggregating datasets from dozens of city departments — but it's a catalog, not an answer engine. Each dataset still requires its own cleaning, joining, and interpretation before it answers a specific question.
Property assessments and sales, city payroll, building permits, L&I violations and licenses, 311 service requests, crime incidents, and budget data are among the most commonly requested categories — each published by a different department with its own format, update cadence, and field definitions.
Each department typically built or adopted its own record-keeping system independently, often years apart, with no shared standard for how to structure or label the data. That's not a failure of any one department — it's the natural result of dozens of separate systems built over decades.
A CSV with 400,000 rows and department-specific codes is technically public and functionally closed to almost anyone without significant data skills and free time. This is the core gap between compliance-grade transparency and genuine understanding — the legal requirement is satisfied the moment the file is posted, regardless of whether anyone can actually use it.
The compliance bar for transparency and the practical bar for understanding are not the same bar.
Start with the specific question you're trying to answer, not the dataset. Identify which single dataset most directly answers it, check its documentation for field definitions, and be skeptical of any citywide average that collapses very different situations into one number. Cross-referencing two datasets (say, permits and assessments for the same property) usually requires manually matching addresses or parcel IDs, since they're rarely published with a shared identifier.
Address formatting inconsistencies, missing values that aren't clearly flagged as missing, and department-specific codes without a public glossary are the three most common obstacles people run into when working directly with raw exports.
Rather than starting from a raw dataset each time, ALKARTIS products connect specific categories of Philadelphia public data — payroll, assessments, and soon licensing and permits — into searchable, explainable tools built around real questions people actually ask, handling the cleaning and cross-referencing so you don't have to.
Yes — public records published through OpenDataPhilly are freely accessible.
To work with raw exports directly, generally yes. Tools built on top of that data — like ALKARTIS products — are designed so you don't have to.
It varies by dataset and department; ALKARTIS products pull from live feeds where available and note the refresh cadence.
Yes — see our custom analysis option if there's a specific dataset or question you'd like help with.
No — formats, availability, and department structures vary significantly city to city, which is part of why building a connected layer city by city matters.
For the bigger picture, see our Philadelphia Public Records Guide.