Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Pittsburgh, Pennsylvania

We ranked 14 franchise concepts for Pittsburgh, Pennsylvania using local demand, labor, transportation, real estate, regulation, and source-backed evidence.

What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking Read the methodology

14Concepts evaluated

20Sources used

12Primary sources

26Local metrics

Evaluation set

Why these concepts were evaluated

This is not a ranking of every franchise that may be offered in the city.

14Concepts assessed

Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.

A brand’s participation in our referral network does not add points or change its position.

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

70.7 average across 2 concepts

Largest positive factorTarget-market demand

0.9 points average among 10 affected concepts

Largest negative factorLabor and staffing friction

0.5 points average reduction among 10 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 7 positions

Executive conclusion

What the ranking means for Pittsburgh, Pennsylvania

Our Pittsburgh, Pennsylvania analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and Jan-Pro International produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 0.9 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 10 exposed concepts by 0.5 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.

How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.

Rank	Franchise	Alignment and tier	Largest advantage	Largest constraint	Evidence confidence
1	City WideFacility management	72.7Tier 2 · Favorable modeled alignment	+1.9 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
2	ActionCOACHBusiness coaching	72.2Tier 2 · Favorable modeled alignment	+1.5 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
3	Jan-Pro InternationalCommercial cleaning	71.8Tier 3 · Mixed modeled alignment	+1.6 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
4	FASTSIGNSSigns and graphics	71.8Tier 3 · Mixed modeled alignment	+1.7 ptsTarget-market demand	-0.3 ptsLabor and staffing friction	Moderate evidence confidence
5	HomeSmilesProperty maintenance services	71.3Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-0.3 ptsLabor and staffing friction	Moderate evidence confidence
6	Pillar To Post Home InspectorsHome inspection	70.8Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
7	Rainbow International RestorationRestoration	70.7Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.4 ptsLabor and staffing friction	Moderate evidence confidence
8	PuroCleanRestoration	70.7Tier 3 · Mixed modeled alignment	+0.6 ptsReferral ecosystem	-0.4 ptsLabor and staffing friction	Moderate evidence confidence
9	ZOOM DRAINDrain and sewer service	70.7Tier 3 · Mixed modeled alignment	+0.7 ptsProperty replacement-cycle demand	-0.8 ptsLabor and staffing friction	Moderate evidence confidence
10	Tiger AdjustersPublic insurance adjusting	70.5Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.2 ptsLabor and staffing friction	Moderate evidence confidence

View all 14 score calculations

Original factor comparison

How each factor affected the highest-rated franchise concepts

The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.

Highlight concept

Primary source records by factorTarget-market demand: ^[4] ^[5] ^[6] ^[16] ^[17] ^[18] ^[1] ^[3]Property replacement-cycle demand: ^[7] ^[5] ^[4] ^[1]Competitive environment: ^[6] ^[4] ^[3] ^[19] ^[20]Labor and staffing friction: ^[8] ^[16] ^[17] ^[18] ^[1] ^[2]Transportation, routing, and parking: ^[9] ^[4] ^[3]Real estate and site feasibility: ^[19] ^[20] ^[14] ^[15] ^[11] ^[12] ^[1]Sales and customer acquisition: ^[16] ^[17] ^[18] ^[6] ^[10] ^[3]Referral ecosystem: ^[16] ^[17] ^[18] ^[6] ^[1] ^[3]Territory quality: ^[4] ^[5] ^[9] ^[10] ^[11] ^[12] ^[19] ^[20] ^[3]Regulatory and operating friction: ^[10] ^[11] ^[12] ^[13] ^[14] ^[15] ^[9] ^[2] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction	Referral ecosystem
#1 City Wide	+1.9 pts	—	—	+0.8 pts
#2 ActionCOACH	+1.5 pts	—	—	+0.7 pts
#3 Jan-Pro International	+1.6 pts	—	—	+0.2 pts
#4 FASTSIGNS	+1.7 pts	—	-0.3 pts	+0.3 pts
#5 HomeSmiles	+1.0 pts	—	-0.3 pts	+0.6 pts
#6 Pillar To Post Home Inspectors	+0.1 pts	+0.3 pts	-0.1 pts	+0.4 pts
#7 Rainbow International Restoration	—	+0.5 pts	-0.4 pts	+0.5 pts
#8 PuroClean	—	+0.5 pts	-0.4 pts	+0.6 pts
#9 ZOOM DRAIN	+0.4 pts	+0.7 pts	-0.8 pts	+0.4 pts
#10 Tiger Adjusters	+0.2 pts	—	-0.2 pts	+0.4 pts
#11 Mr. Rooter	+0.3 pts	+0.7 pts	-0.9 pts	+0.2 pts
#12 Aire Serv	+0.3 pts	+0.7 pts	-0.9 pts	—
#13 Workout Anytime	—	—	—	—
#14 Mister Sparky Electric	—	+0.6 pts	-1.0 pts	+0.1 pts

Rank stability

Which positions depend most on individual assumptions?

The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.

#1 City WideStable · tested #1–#1

#2 ActionCOACHModerately sensitive · tested #2–#4

#3 Jan-Pro InternationalHighly sensitive · tested #2–#9

#4 FASTSIGNSHighly sensitive · tested #3–#10

#5 HomeSmilesModerately sensitive · tested #5–#7

#6 Pillar To Post Home InspectorsHighly sensitive · tested #5–#11

#7 Rainbow International RestorationHighly sensitive · tested #2–#9

#8 PuroCleanHighly sensitive · tested #3–#9

#9 ZOOM DRAINHighly sensitive · tested #6–#11

#10 Tiger AdjustersHighly sensitive · tested #6–#13

#11 Mr. RooterHighly sensitive · tested #7–#12

#12 Aire ServHighly sensitive · tested #10–#14

#13 Workout AnytimeHighly sensitive · tested #10–#14

#14 Mister Sparky ElectricModerately sensitive · tested #12–#14

Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.

Worked score example

How we calculated City Wide

This example uses the same ledger shown for every concept and must reconcile exactly to the published score.

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.8
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.65
Published local-market alignment	72.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Starting pointThe operating-model baseline shown in the first ledger row.

InteractionsAny interaction or gate is included in the relevant contribution or calibration row.

Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.

RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

Interpretation

How to interpret the result

City Wide, ActionCOACH, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Jan-Pro International, FASTSIGNS, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.

Factor impact

Which local conditions changed scores or rankings?

We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.

Operating environment53Positive local support

Target-market demand

We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.

We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #3 to #9, the largest movement among concepts directly affected by this factor.

Concepts adjusted10 of 14

Average among affected+0.9 pts

Average across all concepts+0.6 pts

Concepts changing rank11

Concepts helped most

City WideFacility management

+1.9 pts

FASTSIGNSSigns and graphics

+1.7 pts

Jan-Pro InternationalCommercial cleaning

+1.6 pts

ActionCOACHBusiness coaching

+1.5 pts

HomeSmilesProperty maintenance services

+1.0 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Transportation, routing, and parkingNo material score adjustment
Real estate and site feasibilityNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Territory qualityNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Pittsburgh, Pennsylvania

Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.

2 Restoration concepts qualified for comparison, with scores ranging from 70.7 to 70.7. Rainbow International Restoration ranked highest at 70.7. Referral ecosystem added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.4 points on average.

Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared: 2
Score range: 70.7–70.7
Category average: 70.7

Rainbow International Restoration70.7

PuroClean70.7

Compare all assessed concepts

Explore the complete score calculations

14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.

SearchCategoryLargest impactSort

#1Tier 2 · Favorable modeled alignment72.7

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.9 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Stable

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.8
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.65
Published local-market alignment	72.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.9 pts
Tested rank range: #1–#1

Most important next check

How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?

#2Tier 2 · Favorable modeled alignment72.2

ActionCOACH

Business coaching · home-based B2B advisory

Increase +1.5 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.7
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.16
Published local-market alignment	72.2

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.5 pts
Tested rank range: #2–#4

Most important next check

Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?

#3Tier 3 · Mixed modeled alignment71.8

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +1.6 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.6
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.81
Published local-market alignment	71.8

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.6 pts
Tested rank range: #2–#9

Most important next check

What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?

#4Tier 3 · Mixed modeled alignment71.8

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.7 pts Target-market demandReduction -0.3 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.3
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.77
Published local-market alignment	71.8

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.7 pts
Tested rank range: #3–#10

Most important next check

Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?

#5Tier 3 · Mixed modeled alignment71.3

HomeSmiles

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

Increase +1.0 pts Target-market demandReduction -0.3 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.0
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.28
Published local-market alignment	71.3

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.0 pts
Tested rank range: #5–#7

Most important next check

How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?

#6Tier 3 · Mixed modeled alignment70.8

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.4 pts Referral ecosystemReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	-0.1
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.76
Published local-market alignment	70.8

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #5–#11

Most important next check

Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?

#7Tier 3 · Mixed modeled alignment70.7

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.4 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.72
Published local-market alignment	70.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.5 pts
Tested rank range: #2–#9

Most important next check

Which insurer, adjuster, and property-management relationships are expected to produce repeatable referrals for Rainbow International Restoration?

#8Tier 3 · Mixed modeled alignment70.7

PuroClean

Restoration · emergency property restoration

Increase +0.6 pts Referral ecosystemReduction -0.4 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.71
Published local-market alignment	70.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.6 pts
Tested rank range: #3–#9

Most important next check

Which insurer, adjuster, and property-management relationships are expected to produce repeatable referrals for PuroClean?

#9Tier 3 · Mixed modeled alignment70.7

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.7 pts Property replacement-cycle demandReduction -0.8 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.4
Property replacement-cycle demand	+0.7
Competitive environment	Not included in the score
Labor and staffing friction	-0.8
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.69
Published local-market alignment	70.7

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.8 pts
Tested rank range: #6–#11

Most important next check

What after-hours drain and sewer technician coverage must ZOOM DRAIN maintain, and what staffing model protects response times?

#10Tier 3 · Mixed modeled alignment70.5

Tiger Adjusters

Public insurance adjusting · Home-based, referral-led public insurance adjusting business combining local property inspections with…

Increase +0.4 pts Referral ecosystemReduction -0.2 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.2
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.49
Published local-market alignment	70.5

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #6–#13

Most important next check

Which professional referral channels are expected to matter most to Tiger Adjusters, and what local relationship count supports the plan?

#11Tier 3 · Mixed modeled alignment70.3

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.7 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.3
Property replacement-cycle demand	+0.7
Competitive environment	Not included in the score
Labor and staffing friction	-0.9
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.30
Published local-market alignment	70.3

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.9 pts
Tested rank range: #7–#12

Most important next check

What mix of scheduled-service plumbers and emergency-response capacity must Mr. Rooter staff for the proposed territory?

#12Tier 3 · Mixed modeled alignment70.0

Aire Serv

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

Increase +0.7 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.3
Property replacement-cycle demand	+0.7
Competitive environment	Not included in the score
Labor and staffing friction	-0.9
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.05
Published local-market alignment	70.0

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.9 pts
Tested rank range: #10–#14

Most important next check

Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?

#13Tier 3 · Mixed modeled alignment70.0

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.00
Published local-market alignment	70.0

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: 0.0 pts
Tested rank range: #10–#14

Most important next check

What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?

#14Tier 3 · Mixed modeled alignment69.8

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.6 pts Property replacement-cycle demandReduction -1.0 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	-1.0
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.80
Published local-market alignment	69.8

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -1.0 pts
Tested rank range: #12–#14

Most important next check

Which licensed roles must Mister Sparky Electric hire or contract locally, and what recruiting timeline is built into the opening plan?

Metric registry

The 26 local metrics behind this analysis

The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.

View all local metrics

Metric	Raw value	Period	Geography	How used	Source
Resident population estimate on July 1, 2025	307,632people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures	Pittsburgh, Pennsylvania	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	1.5percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures	Pittsburgh, Pennsylvania	Evidence for Target-market demand	^[4]
Estimated households in the 2020-2024 period	138,188households	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures	Pittsburgh, Pennsylvania	Evidence for Target-market demand, Territory quality	^[4]
Owner-occupied housing unit rate	47.7percent of occupied housing units	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures	Pittsburgh, Pennsylvania	Evidence for Target-market demand, Property replacement-cycle demand	^[4]
Persons in poverty	20.1percent of population	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures	Pittsburgh, Pennsylvania	Evidence for Target-market demand	^[4]
Total housing units in the 2024 ACS 1-year estimate	167,913housing units	2024 American Community Survey 1-year estimates and 2020 Decennial Census	Pittsburgh, Pennsylvania	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[5]
Employer establishments in the primary county containing Pittsburgh	33,812establishments	Calendar year 2023 business establishments, employment, payroll, and 2025 population estimate	Allegheny County, Pennsylvania	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[6]
Employment in employer establishments in the primary county containing Pittsburgh	709,774jobs	Calendar year 2023 business establishments, employment, payroll, and 2025 population estimate	Allegheny County, Pennsylvania	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[6]
Housing units constructed in 1939 or earlier	66,149housing units	American Community Survey and CoStar data assembled for the January 2022 assessment	Pittsburgh, Pennsylvania	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[7] ^[1]
Share of charted housing units constructed in 1939 or earlier	46.3percent of charted housing units	American Community Survey and CoStar data assembled for the January 2022 assessment	Pittsburgh, Pennsylvania	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[7]
Share of charted housing units constructed before 1980	83.2percent of charted housing units	American Community Survey and CoStar data assembled for the January 2022 assessment	Pittsburgh, Pennsylvania	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[7] ^[1]
Multifamily rental share of new construction over the decade described by the 2022 assessment	90percent of new construction	American Community Survey and CoStar data assembled for the January 2022 assessment	Pittsburgh, Pennsylvania	Evidence for Property replacement-cycle demand, Real estate and site feasibility, Territory quality	^[7]
University of Pittsburgh Pittsburgh-campus headcount enrollment in Fall 2025	31,237students	Fall Term 2025 and fiscal year 2025	University of Pittsburgh, Pittsburgh campus	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[16]
University of Pittsburgh Pittsburgh-campus employees in Fall 2025	14,888employees	Fall Term 2025 and fiscal year 2025	University of Pittsburgh, Pittsburgh campus	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[16]
Carnegie Mellon University reported students, faculty, and staff in Fall 2025	students: 16,582; faculty: 1,615; staff: 5,164people by role	Fall 2025	Carnegie Mellon University; main campus in Pittsburgh	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction	^[17]
UPMC reported system employment and facilities	employees: 100,000; hospitals more than: 40; outpatient sites: 800system scale metrics	Calendar year and fiscal year 2025 figures	UPMC, headquartered in Pittsburgh	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction	^[18]
Mean hourly wages for selected occupational groups	all occupations: 31.36; food preparation and serving: 16.46; healthcare support: 17.66; building and grounds cleaning and maintenance: 18.69; construction and extraction: 32.06; installation maintenance and repair: 29.13; office and administrative support: 23.44usd per hour	May 2025	Pittsburgh, Pennsylvania MSA	Evidence for Labor and staffing friction	^[8] ^[2]
Pittsburgh-area wage differences from national means for selected occupational groups	all occupations: -2.18; food preparation and serving: -1.4; healthcare support: -1.96; building and grounds cleaning and maintenance: -0.97; construction and extraction: 0.64; installation maintenance and repair: -1.31; office and administrative support: -1.35usd per hour difference pittsburgh minus us	May 2025	Pittsburgh, Pennsylvania MSA	Evidence for Labor and staffing friction	^[8]
Current Smart Loading Zone operating rules	grace period minutes: 15; enforcement days: Monday-Saturday; enforcement hours: 8:00-18:00; post grace registration and payment required: yes; rates vary by neighborhood: yesrule attributes	Current operating rules accessed August 2026; pilot results January 2022 through December 2024	Pittsburgh Smart Loading Zones	Evidence for Transportation, routing, and parking, Territory quality, Regulatory and operating friction	^[9] ^[3]
Reported Smart Loading Zone pilot outcomes from January 2022 through December 2024	turnover change: 70; average park duration change: -60; maximum share using grace period: 85percent	Current operating rules accessed August 2026; pilot results January 2022 through December 2024	Pittsburgh Smart Loading Zone pilot locations	Evidence for Transportation, routing, and parking	^[9]
Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness	yesboolean	Current process accessed August 2026	City-designated historic properties and districts in Pittsburgh	Evidence for Regulatory and operating friction, Territory quality, Sales and customer acquisition	^[10] ^[3]
Property and project conditions that can trigger a geotechnical report	landslide prone overlay: new construction, multi story addition; undermined area overlay: new construction or enlargement subject to project type and overburden rules; steep slope: cut or fill slope over 25 percent unless certifiedrule attributes	Current zoning guidance accessed August 2026	Applicable Pittsburgh parcels and projects	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[11] ^[12] ^[13] ^[3]
Nonresidential monthly stormwater rate per equivalent residential unit	11.5usd per eru per month	Rates effective March 8, 2026	Pittsburgh Water customers	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[14]
Illustrative monthly Pittsburgh Water bill for a commercial customer using 13,000 gallons with a 1-inch meter and eight ERUs	prior rate bill: 425.81; rate 2026 bill: 491.83; change percent: 15.5usd per month and percent	Illustrative class bills for 2026 rates effective March 8, 2026	Typical Pittsburgh Water commercial customer defined by the utility	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[15]
Pittsburgh office market directional measures in Q2 2026	quarterly net absorption sqft: 297,000; vacancy change qoq bps: 0; vacancy change yoy bps: 20; asking rent change qoq percent: 1.5; asking rent change yoy percent: 1.3; construction pipeline sqft: 0market metrics	Second quarter 2026	Pittsburgh office market	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[19]
Pittsburgh industrial market measures in Q2 2026	vacancy percent: 5.4; availability percent: 6.2; average asking rent usd per sqft: 7.73; quarterly net absorption sqft: -68,000; construction pipeline sqft: 959,000market metrics	Second quarter 2026	Pittsburgh industrial market	Evidence for Real estate and site feasibility, Territory quality	^[20]

How to use the ranking

What the model can and cannot establish

Scores measure local operating alignment, not expected financial performance or franchise-system quality.
Citywide evidence may not describe the exact site or territory ultimately offered.
Conditional effects are shown for diligence but do not change the published score until their applicability is established.

Methodology

How the local-alignment ranking is calculated

Measure the city

Collect reusable local metrics with source, period, geography, and confidence fields.

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

Apply scoreable effects

Score only effects that apply without an unresolved site, territory, customer, or project gate.

Preserve conditional effects

Keep location- or territory-dependent issues visible for diligence without automatically changing the score.

Test rank sensitivity

Remove one factor at a time from every concept and rerank using full-precision scores.

Generate public output

Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.

Why every concept begins at 70.0

70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It is not a percentage, probability, or estimate of investment quality.

Precision and materiality

Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.

Score tiers

Tier 1 · Strongest modeled alignment80.0–100.0

Tier 2 · Favorable modeled alignment72.0–80.0

Tier 3 · Mixed modeled alignment64.0–72.0

Tier 4 · Higher-friction modeled alignment0.0–64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score

What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Analysis updated August 5, 2026

Model governance

How this report is calculated and corrected

Calculation controls

Model designer: Thomas Jepsen

No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.

Model history

Model 0.9.0-calibration · August 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.

Corrections policy

Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.

Source registry

Evidence represented in this report

Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.

1
United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
Used for: Housing units constructed in 1939 or earlier and Share of charted housing units constructed before 1980
Publisher
Supplied research material
Data period
Supplied multi-city research docket; Pittsburgh section reviewed August 2026
Scope
Pittsburgh section within a multi-city research docket
Locator
Pittsburgh, Pennsylvania section, PDF pages 5-7
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
2
Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
Used for: Mean hourly wages for selected occupational groups
Publisher
Supplied research material
Data period
Supplied multi-city municipal research docket; Pittsburgh section reviewed August 2026
Scope
Pittsburgh section within a multi-city research docket
Locator
Pittsburgh, Pennsylvania section, PDF pages 6-8
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
3
Franchise city and neighborhood operating-condition recordsInternal or supplied research; not publicly accessible.
Used for: Current Smart Loading Zone operating rules, Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness, and Property and project conditions that can trigger a geotechnical report
Publisher
Supplied research material
Data period
Undated supplied neighborhood records reviewed August 2026
Scope
Six Pittsburgh neighborhood rows: Shadyside, Lawrenceville, Bloomfield, Regent Square, Mount Washington, and Highland Park
Locator
Rows where city equals Pittsburgh
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
4
QuickFacts: Pittsburgh city, Pennsylvania
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 period, Owner-occupied housing unit rate, and Persons in poverty
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census measures
Scope
Pittsburgh city, Pennsylvania
Locator
Population, housing, households, economy, transportation, income, and geography tables
Source tier
Tier 1 · government
Accessed
August 4, 2026
5
Pittsburgh city, Pennsylvania - Census Bureau Profile
Used for: Total housing units in the 2024 ACS 1-year estimate
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-year estimates and 2020 Decennial Census
Scope
Pittsburgh city, Pennsylvania
Locator
Housing and household profile cards; B25002 and DP02
Source tier
Tier 1 · government
Accessed
August 4, 2026
6
QuickFacts: Allegheny County, Pennsylvania
Used for: Employer establishments in the primary county containing Pittsburgh and Employment in employer establishments in the primary county containing Pittsburgh
Publisher
U.S. Census Bureau
Data period
Calendar year 2023 business establishments, employment, payroll, and 2025 population estimate
Scope
Allegheny County, Pennsylvania
Locator
Businesses table
Source tier
Tier 1 · government
Accessed
August 4, 2026
7
Pittsburgh Housing Needs Assessment
Used for: Housing units constructed in 1939 or earlier, Share of charted housing units constructed in 1939 or earlier, Share of charted housing units constructed before 1980, and Multifamily rental share of new construction over the decade described by the 2022 assessment
Publisher
City of Pittsburgh Department of City Planning
Published
January 1, 2022
Data period
American Community Survey and CoStar data assembled for the January 2022 assessment
Scope
City of Pittsburgh, with selected metropolitan comparisons
Locator
Housing Stock section, report pages 85-87; physical PDF pages 85-87
Source tier
Tier 1 · government
Accessed
August 4, 2026
8
Occupational Employment and Wages in Pittsburgh — May 2025
Used for: Mean hourly wages for selected occupational groups and Pittsburgh-area wage differences from national means for selected occupational groups
Publisher
U.S. Bureau of Labor Statistics
Published
July 10, 2026
Data period
May 2025
Scope
Pittsburgh, Pennsylvania Metropolitan Statistical Area
Locator
Table A, major occupational groups; metropolitan-area definition
Source tier
Tier 1 · government
Accessed
August 4, 2026
9
Smart Loading Zones
Used for: Current Smart Loading Zone operating rules and Reported Smart Loading Zone pilot outcomes from January 2022 through December 2024
Publisher
City of Pittsburgh and Pittsburgh Parking Authority
Data period
Current operating rules accessed August 2026; pilot results January 2022 through December 2024
Scope
Designated Smart Loading Zones in Pittsburgh
Locator
Program Information, pilot results, locations, and rates
Source tier
Tier 1 · government
Accessed
August 4, 2026
10
Apply for Historic Review
Used for: Exterior work on a property in a city-designated historic district requires historic review and a Certificate of Appropriateness
Publisher
City of Pittsburgh Department of City Planning
Data period
Current process accessed August 2026
Scope
City-designated historic properties and districts in Pittsburgh
Locator
Review types, approval process, Certificate of Appropriateness, and violation guidance
Source tier
Tier 1 · government
Accessed
August 4, 2026
11
Geotechnical Reports
Used for: Property and project conditions that can trigger a geotechnical report
Publisher
City of Pittsburgh Department of City Planning
Data period
Current zoning guidance accessed August 2026
Scope
Landslide-prone, undermined, and steep-slope conditions within Pittsburgh
Locator
When a geotechnical report is required and report requirements
Source tier
Tier 1 · government
Accessed
August 4, 2026
12
Environmental Review
Used for: Property and project conditions that can trigger a geotechnical report
Publisher
City of Pittsburgh Department of City Planning
Data period
Current guidance; page last updated April 24, 2025
Scope
Property-specific environmental conditions within Pittsburgh
Locator
Steep slopes, landslide-prone soils, undermined areas, floodplains, and review pathways
Source tier
Tier 1 · government
Accessed
August 4, 2026
13
Planning Application and Process
Used for: Property and project conditions that can trigger a geotechnical report
Publisher
City of Pittsburgh Department of City Planning
Data period
Current review thresholds accessed August 2026
Scope
Development applications in Pittsburgh
Locator
Site Plan Review and Planning Commission Review triggers
Source tier
Tier 1 · government
Accessed
August 4, 2026
14
Rates
Used for: Nonresidential monthly stormwater rate per equivalent residential unit
Publisher
Pittsburgh Water
Data period
Rates effective March 8, 2026
Scope
Pittsburgh Water customers
Locator
Current water, wastewater conveyance, and stormwater rates
Source tier
Tier 1 · government utility
Accessed
August 4, 2026
15
Our Water Future
Used for: Illustrative monthly Pittsburgh Water bill for a commercial customer using 13,000 gallons with a 1-inch meter and eight ERUs
Publisher
Pittsburgh Water
Data period
Illustrative class bills for 2026 rates effective March 8, 2026
Scope
Illustrative Pittsburgh Water customer classes
Locator
Commercial, industrial, and health-and-education customer examples
Source tier
Tier 1 · government utility
Accessed
August 4, 2026
16
Institutional Research and Analytics: By the Numbers
Used for: University of Pittsburgh Pittsburgh-campus headcount enrollment in Fall 2025 and University of Pittsburgh Pittsburgh-campus employees in Fall 2025
Publisher
University of Pittsburgh
Data period
Fall Term 2025 and fiscal year 2025
Scope
University of Pittsburgh, Pittsburgh campus
Locator
By the Numbers: enrollment and employees
Source tier
Tier 2 · recognized institution
Accessed
August 4, 2026
17
Our Data
Used for: Carnegie Mellon University reported students, faculty, and staff in Fall 2025
Publisher
Carnegie Mellon University
Data period
Fall 2025
Scope
Carnegie Mellon University overall; main campus located in Pittsburgh
Locator
Students, faculty, and staff counts
Source tier
Tier 2 · recognized institution
Accessed
August 4, 2026
18
By the Numbers: UPMC Facts and Figures
Used for: UPMC reported system employment and facilities
Publisher
UPMC
Data period
Calendar year and fiscal year 2025 figures
Scope
UPMC system headquartered in Pittsburgh with operations across multiple states and countries
Locator
Employees, facilities, patient activity, market share, and community benefits
Source tier
Tier 2 · recognized institution
Accessed
August 4, 2026
19
Pittsburgh Office Figures Q2 2026
Used for: Pittsburgh office market directional measures in Q2 2026
Publisher
CBRE
Published
July 9, 2026
Data period
Second quarter 2026
Scope
Pittsburgh office market and submarkets
Locator
Quarterly demand, vacancy, availability, asking rent, leasing, and construction summary
Source tier
Tier 3 · credible industry
Accessed
August 4, 2026
20
Pittsburgh Industrial Figures Q2 2026
Used for: Pittsburgh industrial market measures in Q2 2026
Publisher
CBRE
Published
July 9, 2026
Data period
Second quarter 2026
Scope
Pittsburgh industrial market and submarkets
Locator
Vacancy, availability, asking rent, absorption, construction, and leasing summary
Source tier
Tier 3 · credible industry
Accessed
August 4, 2026

Before contacting a franchisor

Complete the next layer of due diligence

Confirm the exact protected territory and neighboring units.
Review the current Franchise Disclosure Document.
Validate local staffing, licensing, insurance, and service-base assumptions.
Obtain location, vehicle, buildout, or working-capital estimates.
Speak with current and former franchisees.
Build a candidate-specific financial scenario.

Apply the analysis to your situation

Review how these market findings apply to your budget, role, and proposed territory.

The city score does not include your experience, capital structure, time commitment, financing, or exact territory.

Request a private franchise review

View methodology View source registry

Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.

Best Franchise Opportunities We Assessed in Pittsburgh, Pennsylvania

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Pittsburgh, Pennsylvania

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in Pittsburgh, Pennsylvania

Best Restoration franchise opportunities we assessed in Pittsburgh, Pennsylvania

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Mr. Rooter

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Workout Anytime

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Mister Sparky Electric

Full score ledger

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The 26 local metrics behind this analysis

What the model can and cannot establish