71.5 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Baltimore, Maryland
We compared 14 franchise concepts for Baltimore, Maryland. Professional and institutional relationship density was a leading positive mechanism. Legacy-system service complexity was a leading operating constraint.
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.
14Concepts evaluated
26Sources used
15Primary sources
33Local 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
1.1 points average among 7 affected concepts
0.7 points average reduction among 7 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Baltimore, Maryland
City Wide, Rainbow International Restoration, and HomeSmiles produced the highest modeled local-alignment scores in the evaluated set. Professional and institutional relationship density was the strongest positive scored mechanism among 8 exposed concepts, adding 0.8 points on average. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. City Wide was especially relationship-sensitive: removing healthcare institutional service demand moved it from #1 to #3 in the full model rerun. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
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 managementInvestment: $229,729–$410,730 | 72.7Tier 2 · Favorable modeled alignment | +1.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 71.7Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 71.5Tier 3 · Mixed modeled alignment | +0.9 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 4 | PuroCleanRestorationInvestment: $54,575–$262,145 | 71.4Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 71.4Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 71.1Tier 3 · Mixed modeled alignment | +1.0 ptsReferral ecosystem | No material negative local adjustment | Moderate evidence confidence |
| 7 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.1Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 8 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 70.8Tier 3 · Mixed modeled alignment | +1.8 ptsProperty replacement-cycle demand | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.6Tier 3 · Mixed modeled alignment | +0.8 ptsProperty replacement-cycle demand | -0.9 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Mister Sparky ElectricElectrical | 70.5Tier 3 · Mixed modeled alignment | +1.5 ptsProperty replacement-cycle demand | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Baltimore, Maryland
Academic, clinical, legal, research, and public institutions support professional referral and institutional-account development
This relationship affected 8 concepts and added 0.8 points on average among those exposed. Local evidence: Organizations must register as City suppliers; most registrations are reviewed within two business days, and Workday distributes non-construction opportunities by commodity or service code: supplier registration review business days typical: 2; workday opportunity notifications: yes mixed. [24] [25] [13]
Very old row-home stock and documented water-system rehabilitation support replacement and inspection demand while increasing technical complexity
The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [6]
skilled-trade-route-service
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was property replacement-cycle demand, while the main constraint was labor and staffing friction. [8] [7] [6] [5] [1]
Evidence behind the city mechanisms
Large healthcare and academic-medical institutions create a substantial institutional service base with site-specific campus demand3 local facts · 3 modeled effects · 3 sources
- Health care and social assistance receipts or revenue in 2022: 15,450,184,000 usd [4]
- Education and health services employment in June 2026: 295,800 jobs [10]
- University of Maryland, Baltimore employment total in fall 2025: 7,933 employees [13]
Healthcare institutional service demandTarget-market demand
Healthcare-overlap labor competitionLabor and staffing friction
Campus-contained consumer demandTarget-market demand
Academic, clinical, legal, research, and public institutions support professional referral and institutional-account development3 local facts · 2 modeled effects · 4 sources
- Organizations must register as City suppliers; most registrations are reviewed within two business days, and Workday distributes non-construction opportunities by commodity or service code: supplier registration review business days typical: 2; workday opportunity notifications: yes mixed [24] [25]
- University of Maryland, Baltimore employment total in fall 2025: 7,933 employees [13]
- University of Maryland, Baltimore enrollment: 6,800 students approximate [12]
Professional and institutional relationship densityReferral ecosystem
Institutional procurement-cycle frictionSales and customer acquisition
Very old row-home stock and documented water-system rehabilitation support replacement and inspection demand while increasing technical complexity3 local facts · 2 modeled effects · 3 sources
- Approved state funding for seven Baltimore City water infrastructure projects: 74,000,000 usd minimum [6]
- Approved projects include sewer inflow and infiltration reduction, sanitary sewer rehabilitation, small-diameter sewer replacement, pump-station rehabilitation, and lead-service-line inventory: herring run inflow infiltration usd: 22,900,000; jones falls sewer rehabilitation usd: 5,900,000; roland park sewer replacement usd: 10,600,000; cromwell pump station usd: 9,800,000; lead service line inventory usd: 6,900,000 project funding [6]
- Occupied housing built before 1940: 70 percent minimum [5] [1]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Maryland BEPS creates annual benchmarking and future performance requirements for covered large buildings in Baltimore3 local facts · 2 modeled effects · 3 sources
- Maryland BEPS covers commercial or multifamily buildings at least 35,000 square feet excluding parking garages, subject to exemptions: 35,000 gross square feet minimum [7] [8]
- Covered buildings benchmark annually beginning in 2025; performance standards begin in 2030 and phase toward zero emissions by 2040 or alternative compliance payment: annual benchmarking start year: 2,025; performance standard start year: 2,030; target year: 2,040; annual reporting fee usd: 100 mixed [8] [7]
- Legacy Baltimore row homes commonly use thin brick envelopes with high exposure and outdated thermal systems: thin brick envelopes: yes; high envelope exposure: yes; outdated thermal systems: yes categorical [5]
Facility compliance burdenRegulatory and operating friction
Energy-retrofit service demandProperty replacement-cycle demand
Residential permit parking and constrained curb access can reduce drop-off, loading, and service-vehicle reliability in dense historic neighborhoods1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
High renter cost burden constrains discretionary demand for price-sensitive consumer concepts1 modeled effect
Discretionary-spending pressureTarget-market demand
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
#1Tier 2 · Favorable modeled alignment72.7
City Wide
Initial investment: $229,729–$410,730
Increase +1.5 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.5 pts |
| Referral ecosystem |
| +1.2 pts |
| Net local movement | +2.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | Depends on the specific site, territory, or operating condition |
| 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 | +1.2 |
| 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 | 72.71 |
| 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 +1.5 pts
- Tested rank range
- #1–#3
#2Tier 3 · Mixed modeled alignment71.7
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +1.0 pts Property replacement-cycle demandReduction -0.4 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.0 pts | |
| Referral ecosystem |
| +0.8 pts |
| Labor and staffing friction |
| -0.4 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | +1.66 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.0 |
| 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 | Not included in the score |
| 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 | 71.66 |
| Published local-market alignment | 71.7 |
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
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #1–#6
#3Tier 3 · Mixed modeled alignment71.5
HomeSmiles
Initial investment: $148,110–$201,800
Increase +0.9 pts Referral ecosystemNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Referral ecosystem |
| +0.9 pts |
| Target-market demand |
| +0.6 pts |
| Net local movement | +1.48 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | +0.9 |
| 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 | 71.48 |
| Published local-market alignment | 71.5 |
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 +0.9 pts
- Tested rank range
- #2–#7
#4Tier 3 · Mixed modeled alignment71.4
PuroClean
Initial investment: $54,575–$262,145
Increase +1.0 pts Property replacement-cycle demandReduction -0.4 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.0 pts | |
| Referral ecosystem |
| +0.8 pts |
| Labor and staffing friction |
| -0.4 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.43 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.0 |
| 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 | Not included in the score |
| 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 | 71.43 |
| Published local-market alignment | 71.4 |
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
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #2–#7
#5Tier 3 · Mixed modeled alignment71.4
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +1.1 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.1 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | +1.40 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| 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 | 71.40 |
| Published local-market alignment | 71.4 |
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 +1.1 pts
- Tested rank range
- #2–#11
#6Tier 3 · Mixed modeled alignment71.1
ActionCOACH
Initial investment: $71,668–$303,513
Increase +1.0 pts Referral ecosystemNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Referral ecosystem |
| +1.0 pts |
| Target-market demand |
| +0.2 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.15 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | Depends on the specific site, territory, or operating condition |
| 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 | +1.0 |
| 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 | 71.15 |
| Published local-market alignment | 71.1 |
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 +1.0 pts
- Tested rank range
- #4–#10
#7Tier 3 · Mixed modeled alignment71.1
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +0.6 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.6 pts |
| Referral ecosystem |
| +0.5 pts |
| Net local movement | +1.09 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Public company data assessed
3 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| 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 | 71.09 |
| Published local-market alignment | 71.1 |
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 +0.6 pts
- Tested rank range
- #5–#10
#8Tier 3 · Mixed modeled alignment70.8
Aire Serv
Initial investment: $113,308–$271,708
Increase +1.8 pts Property replacement-cycle demandReduction -1.0 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.8 pts | |
| Labor and staffing friction |
| -1.0 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.84 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.8 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.84 |
| 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
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.8 pts
- Tested rank range
- #4–#13
#9Tier 3 · Mixed modeled alignment70.6
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.9 pts |
| Property replacement-cycle demand |
| +0.8 pts |
| Referral ecosystem |
| +0.6 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.58 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.8 |
| 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 | Not included in the score |
| 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 | 70.58 |
| Published local-market alignment | 70.6 |
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
#10Tier 3 · Mixed modeled alignment70.5
Mister Sparky Electric
Increase +1.5 pts Property replacement-cycle demandReduction -1.0 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.5 pts | |
| Labor and staffing friction |
| -1.0 pts |
| Net local movement | +0.51 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.5 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.51 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.5 pts
- Tested rank range
- #5–#14
#11Tier 3 · Mixed modeled alignment70.4
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.6 pts Property replacement-cycle demandReduction -0.1 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +0.6 pts | |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +0.44 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | -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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.44 |
| Published local-market alignment | 70.4 |
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
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #9–#12
#12Tier 3 · Mixed modeled alignment70.0
Tiger Adjusters
Initial investment: $43,050–$159,500
No material positive local adjustment identifiedNo material negative local adjustment identified
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #8–#13
#13Tier 3 · Mixed modeled alignment69.9
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.9 pts |
| Property replacement-cycle demand |
| +0.8 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.11 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.8 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.89 |
| Published local-market alignment | 69.9 |
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
- #11–#14
#14Tier 3 · Mixed modeled alignment69.5
Workout Anytime
Initial investment: $1,060,850–$1,840,550
No material positive local adjustment identifiedReduction -0.5 pts Target-market demand
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| -0.5 pts |
| Net local movement | -0.51 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | -0.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.49 |
| Published local-market alignment | 69.5 |
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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand -0.5 pts
- Tested rank range
- #11–#14
No franchise concepts match the selected filters.
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 | +1.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| 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 | +1.2 |
| 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 | 72.71 |
| 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.
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.
Observed model effectMixed or model dependent
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. Jan-Pro International moved from #5 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.5 pts
Average across all concepts+0.3 pts
Concepts changing rank14
What we observed
- Median Household Income And Poverty Ratemedian household income usd: 62,177; persons in poverty percent: 19.7 mixed
- Renter Share And Renters With Unaffordable Housing Costsrenter households percent: 52; renters with unaffordable costs percent: 54
- Cbd Recorded A Fourth Consecutive Quarter Of Negative Absorption While Tenants Relocated Toward Harbor East And Baltimore Peninsulaconsecutive negative absorption quarters: 4; public sector share of q1 new leasing percent: 72.9 mixed
Concepts helped most
City WideFacility management
+1.5 pts
Jan-Pro InternationalCommercial cleaning
+1.1 pts
FASTSIGNSSigns and graphics
+0.6 pts
HomeSmilesProperty maintenance services
+0.6 pts
Rainbow International RestorationRestoration
+0.2 pts
Concepts challenged most
Workout AnytimeFitness
-0.5 pts
Observed model effectPositive local support
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. Aire Serv moved from #8 to #13, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+1.1 pts
Average across all concepts+0.5 pts
Concepts changing rank13
What we observed
- Occupied Housing Built Before 194070 percent minimum
- Legacy Baltimore Row Homes Commonly Use Thin Brick Envelopes With High Exposure And Outdated Thermal Systemsthin brick envelopes: yes; high envelope exposure: yes; outdated thermal systems: yes categorical
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+1.8 pts
Mister Sparky ElectricElectrical
+1.5 pts
PuroCleanRestoration
+1.0 pts
Rainbow International RestorationRestoration
+1.0 pts
ZOOM DRAINDrain and sewer service
+0.8 pts
Observed model effectMixed or model dependent
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Aire Serv moved from #8 to #4, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected-0.7 pts
Average across all concepts-0.3 pts
Concepts changing rank11
Concepts challenged most
Mister Sparky ElectricElectrical
-1.0 pts
Aire ServHVAC installation, repair, and maintenance
-1.0 pts
Mr. RooterPlumbing
-0.9 pts
ZOOM DRAINDrain and sewer service
-0.9 pts
PuroCleanRestoration
-0.4 pts
Observed model effectMixed or model dependent
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. ActionCOACH moved from #6 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted8 of 14
Average among affected+0.8 pts
Average across all concepts+0.4 pts
Concepts changing rank11
Concepts helped most
City WideFacility management
+1.2 pts
ActionCOACHBusiness coaching
+1.0 pts
HomeSmilesProperty maintenance services
+0.9 pts
PuroCleanRestoration
+0.8 pts
Rainbow International RestorationRestoration
+0.8 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
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 WideModerately sensitive · tested #1–#3
#2 Rainbow International RestorationHighly sensitive · tested #1–#6
#3 HomeSmilesHighly sensitive · tested #2–#7
#4 PuroCleanHighly sensitive · tested #2–#7
#5 Jan-Pro InternationalHighly sensitive · tested #2–#11
#6 ActionCOACHHighly sensitive · tested #4–#10
#7 FASTSIGNSHighly sensitive · tested #5–#10
#8 Aire ServHighly sensitive · tested #4–#13
#9 ZOOM DRAINHighly sensitive · tested #7–#12
#10 Mister Sparky ElectricHighly sensitive · tested #5–#14
#11 Pillar To Post Home InspectorsModerately sensitive · tested #9–#12
#12 Tiger AdjustersHighly sensitive · tested #8–#13
#13 Mr. RooterModerately sensitive · tested #11–#14
#14 Workout AnytimeModerately sensitive · tested #11–#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.
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.
Primary source records by factorTarget-market demand: [4] [10] [11] [12] [13] [15] [14] [26] [1]Property replacement-cycle demand: [5] [6] [7] [8] [26] [1]Competitive environment: [4] [14] [15] [16] [3]Labor and staffing friction: [9] [10] [5] [13] [11] [1]Transportation, routing, and parking: [22] [23] [3] [21]Real estate and site feasibility: [14] [15] [16] [20] [21] [1] [2]Sales and customer acquisition: [24] [25] [12] [11] [4]Referral ecosystem: [12] [13] [11] [24] [25] [4]Territory quality: [17] [18] [20] [21] [22] [15] [14] [3]Regulatory and operating friction: [7] [8] [17] [18] [19] [20] [21] [2]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +1.5 pts | — | — | +1.2 pts |
| #2 Rainbow International Restoration | +0.2 pts | +1.0 pts | -0.4 pts | +0.8 pts |
| #3 HomeSmiles | +0.6 pts | — | — | +0.9 pts |
| #4 PuroClean | — | +1.0 pts | -0.4 pts | +0.8 pts |
| #5 Jan-Pro International | +1.1 pts | — | — | +0.3 pts |
| #6 ActionCOACH | +0.2 pts | — | — | +1.0 pts |
| #7 FASTSIGNS | +0.6 pts | — | — | +0.5 pts |
| #8 Aire Serv | — | +1.8 pts | -1.0 pts | — |
| #9 ZOOM DRAIN | — | +0.8 pts | -0.9 pts | +0.6 pts |
| #10 Mister Sparky Electric | — | +1.5 pts | -1.0 pts | — |
| #11 Pillar To Post Home Inspectors | — | +0.6 pts | -0.1 pts | — |
| #12 Tiger Adjusters | — | — | — | — |
| #13 Mr. Rooter | — | +0.8 pts | -0.9 pts | — |
| #14 Workout Anytime | -0.5 pts | — | — | — |
Interpretation
How to interpret the result
City Wide, Rainbow International Restoration, HomeSmiles led because their operating requirements captured more of the local support from property replacement-cycle 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 Rainbow International Restoration, HomeSmiles, PuroClean; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Baltimore, Maryland
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
71.5Best Restoration franchise opportunities we assessed in Baltimore, Maryland
2 Restoration concepts qualified for comparison, with scores ranging from 71.4 to 71.7. Rainbow International Restoration ranked highest at 71.7. Property replacement-cycle demand added 1 point on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.4 points on average.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 71.4–71.7
- Category average
- 71.5
Rainbow International Restoration71.7
PuroClean71.4
Metric registry
The 33 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 569,997people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Context only | [4] |
| Population change from April 2020 estimate base to July 2025 | -2.7percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Context only | [4] |
| Households in the 2020-2024 ACS period | 255,668households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Context only | [4] |
| Owner-occupied housing-unit rate | 47.5percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Context only | [4] |
| Median household income and poverty rate | median household income usd: 62,177; persons in poverty percent: 19.7mixed | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Used in scoring | [4] |
| Health care and social assistance receipts or revenue in 2022 | 15,450,184,000usd | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic census metrics | Baltimore city, Maryland | Supports modeled relationship | [4] |
| Education and health services employment in June 2026 | 295,800jobs | Employment and unemployment through June 2026, preliminary where marked | Baltimore-Columbia-Towson metropolitan statistical area | Supports modeled relationship | [10] |
| University of Maryland, Baltimore employment total in fall 2025 | 7,933employees | Fall 2025 employee headcount and faculty composition | University of Maryland, Baltimore | Supports modeled relationship | [13] |
| University of Maryland, Baltimore enrollment | 6,800students approximate | Fall 2025 enrollment and FY2024-FY2026 institutional metrics | University of Maryland, Baltimore | Supports modeled relationship | [12] |
| Johns Hopkins Medicine full-time faculty and staff | 40,000employees minimum | Current institutional scope and staffing represented in the 2026 fact sheet | Johns Hopkins Medicine system headquartered in Baltimore | Supports modeled relationship | [11] |
| Licensed beds at The Johns Hopkins Hospital in Baltimore | 1,215licensed beds | Current institutional scope and staffing represented in the 2026 fact sheet | The Johns Hopkins Hospital, Baltimore | Supports modeled relationship | [11] |
| Occupied housing built before 1940 | 70percent minimum | Baltimore row-home archetypes and cited housing-age conditions; 2025 publication | Baltimore occupied housing | Used in scoring | [5] [1] |
| Legacy Baltimore row homes commonly use thin brick envelopes with high exposure and outdated thermal systems | thin brick envelopes: yes; high envelope exposure: yes; outdated thermal systems: yescategorical | Baltimore row-home archetypes and cited housing-age conditions; 2025 publication | Baltimore legacy row-home archetypes | Used in scoring | [5] |
| Approved state funding for seven Baltimore City water infrastructure projects | 74,000,000usd minimum | Seven Baltimore City water, sewer, wastewater, lead-service-line, and stormwater projects approved April 2025 | Baltimore City water, sewer, wastewater, lead-service-line, and stormwater systems | Supports modeled relationship | [6] |
| Approved projects include sewer inflow and infiltration reduction, sanitary sewer rehabilitation, small-diameter sewer replacement, pump-station rehabilitation, and lead-service-line inventory | herring run inflow infiltration usd: 22,900,000; jones falls sewer rehabilitation usd: 5,900,000; roland park sewer replacement usd: 10,600,000; cromwell pump station usd: 9,800,000; lead service line inventory usd: 6,900,000project funding | Seven Baltimore City water, sewer, wastewater, lead-service-line, and stormwater projects approved April 2025 | Named Baltimore City water and sewer projects | Supports modeled relationship | [6] |
| Mean hourly wages for selected operationally relevant major occupational groups | building and grounds cleaning usd per hour: 19.76; office and administrative support usd per hour: 26.2; construction and extraction usd per hour: 30.48; installation maintenance and repair usd per hour: 31.47usd per hour | May 2025 Occupational Employment and Wage Statistics | Baltimore-Columbia-Towson metropolitan statistical area | Context only | [9] |
| Baltimore City office vacancy in Q2 2026 | 21percent | Second quarter 2026 office market | Baltimore City office market | Conditional relationship | [15] |
| City Center office vacancy in Q2 2026 | 28percent | Second quarter 2026 office market | Baltimore City Center office submarket | Conditional relationship | [15] |
| CBD recorded a fourth consecutive quarter of negative absorption while tenants relocated toward Harbor East and Baltimore Peninsula | consecutive negative absorption quarters: 4; public sector share of q1 new leasing percent: 72.9mixed | First quarter 2026 office conditions | Baltimore Central Business District with Harbor East and Baltimore Peninsula comparisons | Conditional relationship | [14] |
| Baltimore City industrial vacancy in Q3 2025 | 8.5percent | Third quarter 2025 industrial, warehouse, and flex conditions | Baltimore City industrial market | Context only | [16] |
| Baltimore City industrial inventory and asking rent in Q3 2025 | inventory sqft: 55,601,693; building count: 1,443; asking rent usd per sqft: 9.35; quarterly net absorption sqft: 240,910mixed | Third quarter 2025 industrial, warehouse, and flex conditions | Baltimore City industrial market | Context only | [16] |
| Maryland BEPS covers commercial or multifamily buildings at least 35,000 square feet excluding parking garages, subject to exemptions | 35,000gross square feet minimum | Requirements and exemptions current as accessed August 2026; 2026 reporting deadline extension | Covered buildings in Baltimore, Maryland | Supports modeled relationship | [7] [8] |
| Covered buildings benchmark annually beginning in 2025; performance standards begin in 2030 and phase toward zero emissions by 2040 or alternative compliance payment | annual benchmarking start year: 2,025; performance standard start year: 2,030; target year: 2,040; annual reporting fee usd: 100mixed | Program requirements following October 1, 2025 legislative changes | Covered buildings in Baltimore, Maryland | Supports modeled relationship | [8] [7] |
| CHAP-designated local historic districts and landmarks | local historic districts: 38; landmarks minimum: 200properties and districts | Current historic-district and landmark counts accessed August 2026 | Baltimore City | Conditional relationship | [17] |
| Exterior work to properties in local historic districts and local landmarks requires CHAP review and an Authorization to Proceed | yesboolean | Current exterior-work review requirement accessed August 2026 | Baltimore City local historic districts and landmarks | Conditional relationship | [18] [19] |
| Critical Area covers land and development within 1,000 feet of the Bay and tidal tributaries; Baltimore City Critical Area totals 5,521.3 acres | shoreline distance feet: 1,000; critical area acres: 5,521.3mixed | 2024 CAMP requirements | Baltimore City Critical Area | Conditional relationship | [20] |
| Development and redevelopment in applicable Critical Area districts must reduce predevelopment stormwater pollutant load by at least 10 percent using phosphorus as the calculation basis | 10percent reduction | 2024 CAMP requirements | Baltimore City Critical Area, subject to CAMP classifications and project triggers | Context only | [20] [2] |
| Critical Area Commission feedback on complete significant-project applications averages five weeks after receipt | 5weeks average | 2024 CAMP requirements | Significant Baltimore City Critical Area development projects requiring Commission review | Context only | [20] |
| Baltimore operates neighborhood residential parking permit areas with annually renewed permits | yesboolean | Current residential permit parking area list accessed August 2026 | Baltimore City | Conditional relationship | [22] [23] |
| Supplied neighborhood research identifies Federal Hill as Residential Permit Parking Area 9 and flags limited curb access for customer drop-off without dedicated off-street parking | permit area: 9; dedicated parking gate: yescategorical | Undated supplied neighborhood records reviewed August 2026 | Federal Hill, Baltimore | Conditional relationship | [3] [23] |
| Organizations must register as City suppliers; most registrations are reviewed within two business days, and Workday distributes non-construction opportunities by commodity or service code | supplier registration review business days typical: 2; workday opportunity notifications: yesmixed | Current procurement resources accessed August 2026 | Baltimore City procurement | Supports modeled relationship | [24] [25] |
| Renter share and renters with unaffordable housing costs | renter households percent: 52; renters with unaffordable costs percent: 54percent | 2024 population and housing, 2020-2024 renter affordability, and 2025 housing production | Baltimore City households | Used in scoring | [26] |
| Housing units built in 2025 and estimated annual units needed to meet future demand | units built 2025: 2,859; estimated units needed annually: 1,554housing units | 2024 population and housing, 2020-2024 renter affordability, and 2025 housing production | Baltimore City | Context only | [26] |
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.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 72.71 after target-market demand +1.5 pts and referral ecosystem +1.2 pts. The current model caps total local movement at ±18.0 points. The score 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 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 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
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.
- 1The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Occupied housing built before 1940
- 2Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
Used for: Development and redevelopment in applicable Critical Area districts must reduce predevelopment stormwater pollutant load by at least 10 percent using phosphorus as the calculation basis
- 3Franchise neighborhood research: Riverside through CharlotteInternal or supplied research; not publicly accessible.
Used for: Supplied neighborhood research identifies Federal Hill as Residential Permit Parking Area 9 and flags limited curb access for customer drop-off without dedicated off-street parking
- 4QuickFacts: Baltimore city, Maryland
Used for: Resident population estimate on July 1, 2025, Population change from April 2020 estimate base to July 2025, Households in the 2020-2024 ACS period, Owner-occupied housing-unit rate, and Median household income and poverty rate
- 5Housing-Performance Atlas of Baltimore Row Homes: Archetype-Based Multi-Hazard Baseline of Energy, Heat, Survivability, and Durability
Used for: Occupied housing built before 1940 and Legacy Baltimore row homes commonly use thin brick envelopes with high exposure and outdated thermal systems
- 6State Approves $74 million for Baltimore City Water Infrastructure Projects
Used for: Approved state funding for seven Baltimore City water infrastructure projects and Approved projects include sewer inflow and infiltration reduction, sanitary sewer rehabilitation, small-diameter sewer replacement, pump-station rehabilitation, and lead-service-line inventory
- 7Building Energy Performance Standards
Used for: Maryland BEPS covers commercial or multifamily buildings at least 35,000 square feet excluding parking garages, subject to exemptions and Covered buildings benchmark annually beginning in 2025; performance standards begin in 2030 and phase toward zero emissions by 2040 or alternative compliance payment
- 8Maryland Building Energy Performance Standards Program Overview
Used for: Maryland BEPS covers commercial or multifamily buildings at least 35,000 square feet excluding parking garages, subject to exemptions and Covered buildings benchmark annually beginning in 2025; performance standards begin in 2030 and phase toward zero emissions by 2040 or alternative compliance payment
- 9Occupational Employment and Wages in Baltimore-Columbia-Towson — May 2025
Used for: Mean hourly wages for selected operationally relevant major occupational groups
- 10Baltimore-Columbia-Towson, MD Economy at a Glance
Used for: Education and health services employment in June 2026
- 11Johns Hopkins Medicine Fast Facts
Used for: Johns Hopkins Medicine full-time faculty and staff and Licensed beds at The Johns Hopkins Hospital in Baltimore
- 12UMB Fast Facts — Fall 2025
Used for: University of Maryland, Baltimore enrollment
- 13Fall 2025 Faculty and Employee Reports
Used for: University of Maryland, Baltimore employment total in fall 2025
- 14Baltimore Office MarketBeat Q1 2026
Used for: CBD recorded a fourth consecutive quarter of negative absorption while tenants relocated toward Harbor East and Baltimore Peninsula
- 15MacKenzie Quarterly Market Report: Office Q2 2026
Used for: Baltimore City office vacancy in Q2 2026 and City Center office vacancy in Q2 2026
- 16Maryland Q3 2025 Industrial Report
Used for: Baltimore City industrial vacancy in Q3 2025 and Baltimore City industrial inventory and asking rent in Q3 2025
- 17Commission for Historical and Architectural Preservation
Used for: CHAP-designated local historic districts and landmarks
- 18CHAP Applications and Authorization to Proceed
Used for: Exterior work to properties in local historic districts and local landmarks requires CHAP review and an Authorization to Proceed
- 19Historic Districts
Used for: Exterior work to properties in local historic districts and local landmarks requires CHAP review and an Authorization to Proceed
- 20Baltimore City Critical Area Management Program Manual
Used for: Critical Area covers land and development within 1,000 feet of the Bay and tidal tributaries; Baltimore City Critical Area totals 5,521.3 acres, Development and redevelopment in applicable Critical Area districts must reduce predevelopment stormwater pollutant load by at least 10 percent using phosphorus as the calculation basis, and Critical Area Commission feedback on complete significant-project applications averages five weeks after receipt
- 21
- 22Neighborhood Permit Areas
Used for: Baltimore operates neighborhood residential parking permit areas with annually renewed permits
- 23Residential Parking Permits
Used for: Baltimore operates neighborhood residential parking permit areas with annually renewed permits and Supplied neighborhood research identifies Federal Hill as Residential Permit Parking Area 9 and flags limited curb access for customer drop-off without dedicated off-street parking
- 24Bureau of Procurement
Used for: Organizations must register as City suppliers; most registrations are reviewed within two business days, and Workday distributes non-construction opportunities by commodity or service code
- 25Bidding, Contracting, and Business Opportunities
Used for: Organizations must register as City suppliers; most registrations are reviewed within two business days, and Workday distributes non-construction opportunities by commodity or service code
- 26The City of Baltimore — Housing Indicator Tool
Used for: Renter share and renters with unaffordable housing costs and Housing units built in 2025 and estimated annual units needed to meet future demand
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.
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.