Pittsburgh ยท Working prototype ยท In validation

The data Pittsburgh needs to act on blight already exists. We're building what connects it.

City permits and code enforcement, county tax records, the URA's land bank, and the community development corporations working block by block โ€” five community resources, each excellent at its specific role, each built before anyone could connect their signals to the others. We build the shared view, so every actor can see the full picture for the parcels in front of them โ€” both the blight that costs the city the most to carry and the blight standing next to new private investment.

5
City systems joined into one map
90
Pittsburgh neighborhoods covered
45K+
Parcels with full blight signals
$4.1B
Private real-estate activity tracked (2024โ€“2026)

What fragmentation costs

The cost of not seeing the whole picture

When a developer files a permit for a $50M apartment building, that goes to the city's permits office. When an inspector cites a blighted house two blocks away, that goes to the city's code enforcement bureau. When the URA decides whether to acquire a tax-delinquent lot, that's the URA's call. When a CDC plans the next phase of its block strategy, that's the CDC's.

Those four decisions are about the same blocks โ€” sometimes the same street. Each organization was built to do its specific job well. None of them was built to share its signals with the others. The shared view is what's missing โ€” not the work of any one of them.

Between 2024 and 2026, Pittsburgh saw $4.1B in private real-estate investment.

Across the same period, the city, the URA, and local partners together spent about $9.95M on the blighted properties next door โ€” roughly a quarter of one percent of the private number.

What level would actually move the needle? Around 5%. That's the share Cleveland's land bank delivered over 14 years of coordinated work, and roughly what a simple cost model says Pittsburgh would need to clear its blight inventory in a decade. Measured that way, the gap is about $175M across those three years โ€” one anchor, not the only way to draw the line. See the full derivation โ†’

What public + partner spending actually was$9.95M (0.27%)
What 5% would have looked like (reference)$185M (5.0%)
Modeled property-value uplift at 5%:$832Mโ€“$1.1B

Based on Tri-COG's observed ~$5,145 in adjacent property value restored per remediated structure, scaled to the parcel universe. See methodology for the full assumption list.

๐Ÿ“Ž

Where the 5% reference comes from

Three different ways of looking at it land near the same number: Cleveland's land bank actually delivered around 5.6โ€“7.5% over 14 years; a simple bottom-up model of Pittsburgh's blight inventory says roughly 5% over a decade clears the worst of it; federal housing programs treat 5% as a floor, not a ceiling. Each uses different assumptions, so the agreement is suggestive, not proof. Full derivation โ†’

Where private investment is moving

These are the seven Pittsburgh corridors with the most concentrated private development activity in 2024โ€“2026 โ€” the natural starting points for reactive-mode work, where blight remediation next door gets the biggest amplification.

CorridorPrivate $5% matchTier
Manchester / Chateau / Esplanade$740M$37.0MCritical
Downtown / Hill District$600M$30.0MCritical
Strip District / Penn Ave$122M$6.1MHigh
Hazelwood Green / Hazelwood$209M$10.5MHigh
UPMC / Uptown Innovation District$1,500M$75.0MCritical
N. Pittsburgh / Avenues of Hope$65M$3.25MHigh
East Liberty / Larimer$95M$4.75MCritical
Total (7 corridors)$3,331M$166.6M

5% reference applied to private real-estate activity (2024โ€“2026) ยท Full report โ†’ blightintel.com/report

How it works

Orient. Act. Route.

Three steps a user actually takes: pick the geographic and policy frame you work in, layer in blight and development signals, then see which funding programs apply for the specific parcels you want to act on.

01

Orient

Pick the frame you work in: a neighborhood, a council district, a LERTA tax-abatement zone, an Opportunity Zone, a TIF district, or your CDC service area. The platform draws the boundary and lists the financing tools available inside it.

02

Act

Layer in blight signals and recent permits. Toggle proactive โ€” show the parcels costing the city the most to carry โ€” or reactive โ€” show blight next to new construction. Either way, the platform ranks parcels for you and explains why each one made the list.

03

Route

For each priority parcel, see which funding programs apply โ€” CDBG, RACP, LIHTC, EPA Brownfield, Act 135 conservatorship, land bank acquisition. Eligibility is parcel-specific, so the list you see is the list that actually applies.

Two strategies, one map

Two ways to fight blight, side by side

Most cities default to whichever blight is in the news. The platform supports both modes equally: top-down strategic targeting, and bottom-up opportunistic targeting that rides private momentum.

Strategy 1 ยท Proactive

Address the highest-cost parcels first

Identify the blocks costing the city the most in code violations, demolition liability, and foregone tax revenue. Prioritise where the public return on intervention is largest.

Find the highest-cost parcels first

Rank every block by how much public money it is costing right now โ€” repeat code violations, demolition liability, foregone tax revenue, lien stacking. Start where intervention pays back the most.

See what intervention actually costs

Block-level cost models for demolition, rehab, and acquisition โ€” anchored to Tri-COG benchmarks and local construction-cost data. No more guessing at line items in a budget memo.

Plan budgets across the city

Model spends from $50,000 to $10 million across the whole city. Optimise for return per dollar, parcel count, or equity weighting. Bring data to every budget conversation.

Strategy 2 ยท Reactive

Ride private momentum

When private investment lands in a neighborhood, identify the blighted properties next door that should be cleaned up to amplify the impact and lock in the value uplift before the project opens.

Catch blight next to new construction

Every new construction permit is joined against blighted parcels within roughly 500 metres. When a developer breaks ground, you see immediately which blighted properties next door are worth cleaning up before the project opens.

Watch the parcels that matter

Save the parcels you're tracking. The platform alerts you when their tier changes, when new violations land, or when a neighbouring permit fires โ€” whichever signal moves first.

See which programs apply, parcel by parcel

For each priority parcel, the platform names the funding programs it actually qualifies for โ€” federal CDBG, state RACP, PA Act 135 conservatorship, land bank acquisition, and others. Eligibility rules are encoded so you don't have to look them up.

One example: TIF districts

Cleaning up blight near a TIF district grows the TIF's own funding

A TIF (Tax Increment Financing) district is one of the financing zones the platform tracks as a base layer. It's a boundary inside which the city has frozen property taxes at today's level and is borrowing against future growth to pay for improvements now โ€” typically over 20 years.

Here's what gets missed when these systems can't share data: when a blighted property next to a TIF gets cleaned up and put back into productive use, its assessed value rises. If that property sits inside the TIF boundary, the higher value flows directly into the TIF's own bond-repayment math โ€” the district pays itself back faster, or builds capacity for additional improvements.

The platform calculates this amplification effect for every active TIF corridor, so a CDC director or URA officer making the case for adjacent-blight remediation can speak the language of TIF boards and bond underwriters from the first conversation.

Worked example: Manchester / Chateau
$37M
Public + partner spend
$333K
Extra TIF revenue / year
$4.15M
Added 20-year bond capacity

Putting $37M of public and partner money into the Manchester / Chateau corridor would generate roughly $333,000 a year in extra tax revenue inside the TIF district. Over the district's 20-year span that supports another $4.15M of borrowing capacity โ€” money the city can use to fund more improvements in the same corridor without raising taxes anywhere else.

Across all seven active corridors
CorridorEst. TIF Amp./yr
Manchester / Chateau$333K
Hill District / Downtown$270K
Hazelwood Green$189K
Strip District$110K
UPMC / Uptown$558K
N. Pittsburgh / Avenues$58K
East Liberty / Larimer$85K
Total (7 corridors)$1.60M/yr

Evidence Base

Anchored to named sources

Key model parameters are pinned to external research or peer-city operating data where possible, and labeled as platform estimates where they are not. The full methodology lists each source, the assumptions applied to it, and the known limitations.

Tri-COG Land Bank

Operating benchmark

ROI Anchor

Documents roughly $5,145 in adjacent property value restored per remediated structure. The platform adopts this as its baseline spillover assumption, with local-market multipliers layered on top.

Cuyahoga Land Bank (Cleveland)

Peer precedent

Peer Precedent

Evidence that a funded, data-driven land bank operating at comparable inventory scale can systematically address vacancy in a legacy city. Used as a reference range, not a forecast.

Opportunity Atlas (Chetty et al.)

Census-tract research

Equity Input

Tract-level upward-mobility estimates are the source for the equity weighting applied to parcel-level ROI. Used directly, not re-estimated.

Pittsburgh inventory cost model

Platform estimate

Platform Estimate

Bottom-up tally of ~189 Tier 1 parcels ร— median remediation cost produces one of the reference points in the co-investment sizing discussion. It is a platform-built estimate, not an external audit.

Designed for practitioners

Representative use cases based on platform capabilities and professional workflows. Real user feedback will be published after early access launch.

Picking acquisition targets in Larimer in under 20 minutes โ€” instead of spending a week pulling records from three different city databases.

CDC director
Early access scenario
CDC

The funding-pathway router and the auto-generated funding-case narrative could shave fifteen hours off a typical state housing-finance application.

Community development professional
Illustrative use case
CDC

It speaks both the language of data and the language of neighborhood reinvestment โ€” which almost nothing else in this category does.

Urban planning professional
Platform design feedback
URA

Who it's for

For the people already doing the work

The platform serves the practitioners already touching Pittsburgh's blight every day โ€” across city government, the URA, the county, and the community development corporations โ€” by giving each of them the view across the others.

CDC director

Community Development Corporations

You know your blocks better than anyone. The platform brings together the signals you currently have to gather from several different organizations โ€” code citations, tax delinquency, land bank holdings, recent permits โ€” onto the same map of the streets you already walk.

  • Block-level signal map for your service area
  • Permit-proximity alerts when private investment lands nearby
  • Funding pathways that match your typical project types
  • Comparison briefs for grant applications

Code enforcement supervisor

City Bureau of Building Inspection

Your inspectors generate the strongest single signal of blight in the city. The platform shows that signal in context โ€” alongside tax delinquency, recent permits, and land bank status โ€” so you can route inspector workload toward the blocks where action by partner organizations is most likely to follow.

  • Repeat-violation hot blocks
  • Cross-reference with land bank and tax-delinquent rolls
  • Permit-adjacent blight queue (for reactive prioritisation)
  • Workload balancing by district

URA program officer

Urban Redevelopment Authority

You site acquisitions, structure deals, and answer to taxing bodies on returns. The platform gives you both strategic targeting (proactive) and opportunistic targeting (reactive) on the same map, with funding-pathway analysis for each parcel before you walk into a board meeting.

  • Two-strategy parcel ranking
  • Capital stack with named-program eligibility
  • TIF-district and corridor performance views
  • Annual co-investment strategy planner

Council staff & land bank board

City Council district offices, Land Bank governance

Your job is constituent service or strategic disposition decisions, not GIS analysis. The platform gives you a single view of your district or your portfolio, with the questions you actually get asked โ€” what is the city doing about this block? โ€” answered before the call comes in.

  • District-level dashboards
  • Portfolio acquisition queue
  • Stakeholder-ready briefs
  • Cross-jurisdictional context (city + county)

The corridors are moving now.

The Esplanade breaks ground. The Hill District waits. The UPMC Innovation District absorbs surrounding neighborhoods quietly, parcel by parcel. The data to see it in one place already exists.

If you work on blight, land banking, or community-development finance in Pittsburgh, we'd rather get your pushback on the prototype early than polish in a vacuum.