Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Toledo, Ohio

We compared 14 franchise concepts for Toledo, Ohio. Replacement and repair demand 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.
Analysis by Thomas Jepsen, MSc Model: 0.9.0
14Concepts evaluated
22Sources used
17Primary sources
29Local 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

70.1 average across 2 concepts

Largest positive factorTarget-market demand

0.6 points average among 7 affected concepts

Largest negative factorLabor and staffing friction

0.5 points average reduction among 7 affected concepts

Most assumption-sensitive rankActionCOACH

Tested rank range spans 9 positions

Executive conclusion

What the ranking means for Toledo, Ohio

City Wide, Jan-Pro International, and HomeSmiles produced the highest modeled local-alignment scores in the evaluated set. Replacement and repair demand was the strongest positive scored mechanism among 7 exposed concepts, adding 0.6 points on average. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. 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.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility managementInvestment: $229,729–$410,730
71.6Tier 3 · Mixed modeled alignment
+1.7 ptsTarget-market demand -0.1 ptsTransportation, routing, and parking Moderate evidence confidence
2Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500
71.0Tier 3 · Mixed modeled alignment
+1.2 ptsTarget-market demand -0.2 ptsTransportation, routing, and parking Moderate evidence confidence
3HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
70.4Tier 3 · Mixed modeled alignment
+0.6 ptsTarget-market demand -0.2 ptsTransportation, routing, and parking Moderate evidence confidence
4FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285
70.4Tier 3 · Mixed modeled alignment
+0.7 ptsTarget-market demand -0.3 ptsTransportation, routing, and parking Moderate evidence confidence
5ActionCOACHBusiness coachingInvestment: $71,668–$303,513
70.3Tier 3 · Mixed modeled alignment
+0.3 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
6Rainbow International RestorationRestorationInvestment: $185,336–$351,900
70.2Tier 3 · Mixed modeled alignment
+0.5 ptsProperty replacement-cycle demand -0.3 ptsLabor and staffing friction Moderate evidence confidence
7PuroCleanRestorationInvestment: $54,575–$262,145
70.0Tier 3 · Mixed modeled alignment
+0.6 ptsProperty replacement-cycle demand -0.3 ptsLabor and staffing friction Moderate evidence confidence
8Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290
70.0Tier 3 · Mixed modeled alignment
+0.3 ptsProperty replacement-cycle demand -0.2 ptsTransportation, routing, and parking Moderate evidence confidence
9Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500
69.9Tier 3 · Mixed modeled alignment
No material positive local adjustment-0.1 ptsTransportation, routing, and parking Moderate evidence confidence
10ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
69.7Tier 3 · Mixed modeled alignment
+0.7 ptsProperty replacement-cycle demand -0.7 ptsLabor and staffing friction Moderate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in Toledo, Ohio

01

Predominantly older housing stock supports repair and replacement demand while increasing diagnostic and licensed-trade complexity

The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [5] [21]

02

recurring-commercial-service

This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was transportation, routing, and parking. [4] [6] [19] [2] [1] [8] [10]

03

Named overlay districts, parcel zoning and corridor-specific projects create material site and territory variation

Requires the offered franchise territory and proposed site or service-base address to determine which zoning overlays, parcel rules, and active corridors apply. [16] [15]

Evidence behind the city mechanisms

Predominantly older housing stock supports repair and replacement demand while increasing diagnostic and licensed-trade complexity3 local facts · 2 modeled effects · 2 sources
  • Residential rental properties with 1-4 units built before 1978 are required to meet lead-safe standards and maintain a Lead-Safe Certificate: unit count min: 1; unit count max: 4; construction year before: 1,978; certificate required: yes regulatory threshold [21]
  • Housing units built in 1979 or earlier: 84 percent of housing units [5]
  • Housing units built in 1939 or earlier: 32.1 percent of housing units [5]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Large health-care activity and named hospital systems create institution-facing service demand1 modeled effect
Healthcare institutional service demandTarget-market demand
University of Toledo creates a material institutional account base with demonstrated procurement activity1 modeled effect
University and government account demandTarget-market demand
High renter cost burden and elevated poverty constrain discretionary consumer purchasing power for affected households1 modeled effect
Discretionary-spending pressureTarget-market demand
Snow-response thresholds and possible emergency-route parking bans create recurring winter access friction1 modeled effect
Winter parking and access pressureTransportation, routing, and parking
Active 2026 major-road work can disrupt routes on affected Toledo corridors1 modeled effect
Temporary route disruptionTransportation, routing, and parking
Shopping-center and corridor sign-control overlays can require location-specific exterior-brand adaptation1 modeled effect
Signage and prototype adaptation burdenRegulatory and operating friction
Formal public-institution procurement creates category-gated sales-cycle and bid-process friction1 modeled effect
Institutional procurement-cycle frictionSales and customer acquisition

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 3 · Mixed modeled alignment71.6

City Wide

Facility management · B2B facility management and vendor coordination

Initial investment: $229,729–$410,730

Increase +1.7 pts Target-market demandReduction -0.1 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Healthcare institutional service demand Evidence+1.1 pts
    Primary modeled driverRelationship test: rank stays #1
  • University and government account demand Evidence+0.5 pts
+1.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.1 pts
-0.1 pts
Sales and customer acquisitionInstitutional procurement-cycle friction EvidenceConditional — applicability must be confirmedNot scored
Net local movement+1.60 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 baseline70.0
Target-market demand+1.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.60
Published local-market alignment71.6

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
Adequate
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
#1–#5
#2Tier 3 · Mixed modeled alignment71.0

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

Increase +1.2 pts Target-market demandReduction -0.2 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Healthcare institutional service demand Evidence+0.8 pts
    Primary modeled driverRelationship test: rank stays #2
  • University and government account demand Evidence+0.4 pts
+1.2 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
Sales and customer acquisitionInstitutional procurement-cycle friction EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.98 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 baseline70.0
Target-market demand+1.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.98
Published local-market alignment71.0

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.2 pts
Tested rank range
#2–#9
#3Tier 3 · Mixed modeled alignment70.4

HomeSmiles

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

Initial investment: $148,110–$201,800

Increase +0.6 pts Target-market demandReduction -0.2 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Healthcare institutional service demand Evidence+0.4 pts
    Primary modeled driverRelationship test: #3 → #7
  • University and government account demand Evidence+0.2 pts
+0.6 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
Net local movement+0.38 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 baseline70.0
Target-market demand+0.6
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.38
Published local-market alignment70.4

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
Adequate
Franchise-profile completeness
Adequate
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
#3–#8
#4Tier 3 · Mixed modeled alignment70.4

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

Increase +0.7 pts Target-market demandReduction -0.3 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Healthcare institutional service demand Evidence+0.4 pts
    Primary modeled driverRelationship test: #4 → #8
  • University and government account demand Evidence+0.2 pts
+0.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Regulatory and operating frictionSignage and prototype adaptation burden EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.37 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
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 baseline70.0
Target-market demand+0.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.37
Published local-market alignment70.4

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.7 pts
Tested rank range
#3–#10
#5Tier 3 · Mixed modeled alignment70.3

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

Increase +0.3 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 factorModeled driversImpact
Target-market demand
  • University and government account demand Evidence+0.2 pts
    Primary modeled driverRelationship test: rank stays #5
  • Healthcare institutional service demand Evidence+0.1 pts
+0.3 pts
Net local movement+0.28 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 baseline70.0
Target-market demand+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingNot applicable to this operating model
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.28
Published local-market alignment70.3

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.3 pts
Tested rank range
#2–#11
#6Tier 3 · Mixed modeled alignment70.2

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.5 pts Property replacement-cycle demandReduction -0.3 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 factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.5 pts
    Primary modeled driverRelationship test: #6 → #8
+0.5 pts
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Target-market demand
  • Healthcare institutional service demand Evidence+0.2 pts
  • University and government account demand Evidence+0.1 pts
+0.2 pts
Net local movement+0.19 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 baseline70.0
Target-market demand+0.2
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.19
Published local-market alignment70.2

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.5 pts
Tested rank range
#3–#8
#7Tier 3 · Mixed modeled alignment70.0

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.6 pts Property replacement-cycle demandReduction -0.3 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 factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.6 pts
    Primary modeled driverRelationship test: #7 → #9
+0.6 pts
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement+0.02 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.02
Published local-market alignment70.0

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
Adequate
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
#1–#9
#8Tier 3 · Mixed modeled alignment70.0

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.3 pts Property replacement-cycle demandReduction -0.2 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #8 → #7
+0.3 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.1 pts
-0.1 pts
Net local movement-0.01 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 sources
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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.99
Published local-market alignment70.0

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.3 pts
Tested rank range
#3–#12
#9Tier 3 · Mixed modeled alignment69.9

Tiger Adjusters

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

Initial investment: $43,050–$159,500

No material positive local adjustment identifiedReduction -0.1 pts Transportation, routing, and parking

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.1 pts
    Primary modeled driverRelationship test: #9 → #10
-0.1 pts
Net local movement-0.13 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
1 source
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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.87
Published local-market alignment69.9

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
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Transportation, routing, and parking -0.1 pts
Tested rank range
#6–#13
#10Tier 3 · Mixed modeled alignment69.7

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.7 pts Property replacement-cycle demandReduction -0.7 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 factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.7 pts
    Primary modeled driverRelationship test: #10 → #11
+0.7 pts
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.7 pts
-0.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.32 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing friction-0.7
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.68
Published local-market alignment69.7

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.7 pts
Tested rank range
#4–#11
#11Tier 3 · Mixed modeled alignment69.6

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.7 pts Property replacement-cycle demandReduction -0.8 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 factorModeled driversImpact
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.8 pts
    Primary modeled driverRelationship test: #11 → #5
-0.8 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.7 pts
+0.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.36 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.64
Published local-market alignment69.6

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
Adequate
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
#5–#12
#12Tier 3 · Mixed modeled alignment69.6

Aire Serv

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

Initial investment: $113,308–$271,708

Increase +0.7 pts Property replacement-cycle demandReduction -0.8 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 factorModeled driversImpact
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.8 pts
    Primary modeled driverRelationship test: #12 → #8
-0.8 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.7 pts
+0.7 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.42 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 source
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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.58
Published local-market alignment69.6

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
Adequate
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.8 pts
Tested rank range
#8–#13
#13Tier 3 · Mixed modeled alignment69.5

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.6 pts Property replacement-cycle demandReduction -0.8 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 factorModeled driversImpact
Labor and staffing friction
  • Legacy-system service complexity Evidence-0.8 pts
    Primary modeled driverRelationship test: #13 → #10
-0.8 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.6 pts
+0.6 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.3 pts
-0.3 pts
Transportation, routing, and parkingTemporary route disruption EvidenceConditional — applicability must be confirmedNot scored
Net local movement-0.49 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parking-0.3
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.51
Published local-market alignment69.5

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
Adequate
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
#10–#14
#14Tier 3 · Mixed modeled alignment69.4

Workout Anytime

Fitness · fixed-location membership fitness

Initial investment: $1,060,850–$1,840,550

No material positive local adjustment identifiedReduction -0.4 pts Target-market demand

Rank sensitivity: Highly sensitive

Why it ranks here

Score-changing local factors only. Evidence links open the underlying city finding.

Local factorModeled driversImpact
Target-market demand
  • Discretionary-spending pressure Evidence-0.4 pts
    Primary modeled driverRelationship test: #14 → #10
-0.4 pts
Transportation, routing, and parking
  • Winter parking and access pressure Evidence-0.2 pts
-0.2 pts
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 baseline70.0
Target-market demand-0.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.2
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.42
Published local-market alignment69.4

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
Adequate
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.4 pts
Tested rank range
#7–#14

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 baseline70.0
Target-market demand+1.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.60
Published local-market alignment71.6

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 #2 to #8, the largest movement among concepts directly affected by this factor.

Concepts adjusted7 of 14
Average among affected+0.6 pts
Average across all concepts+0.3 pts
Concepts changing rank14

What we observed

  • Median Household Income In 2024 Dollars, 2020 202449,724 USD per year
  • Persons In Poverty24.3 percent
  • Health Care And Social Assistance Receipts/revenue In 20223,877,054,000 USD

Concepts helped most

City WideFacility management
+1.7 pts
Jan-Pro InternationalCommercial cleaning
+1.2 pts
FASTSIGNSSigns and graphics
+0.7 pts
HomeSmilesProperty maintenance services
+0.6 pts
ActionCOACHBusiness coaching
+0.3 pts

Concepts challenged most

Workout AnytimeFitness
-0.4 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Referral ecosystemNo 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 WideHighly sensitive · tested #1–#5
#2 Jan-Pro InternationalHighly sensitive · tested #2–#9
#3 HomeSmilesHighly sensitive · tested #3–#8
#4 FASTSIGNSHighly sensitive · tested #3–#10
#5 ActionCOACHHighly sensitive · tested #2–#11
#6 Rainbow International RestorationHighly sensitive · tested #3–#8
#7 PuroCleanHighly sensitive · tested #1–#9
#8 Pillar To Post Home InspectorsHighly sensitive · tested #3–#12
#9 Tiger AdjustersHighly sensitive · tested #6–#13
#10 ZOOM DRAINHighly sensitive · tested #4–#11
#11 Mr. RooterHighly sensitive · tested #5–#12
#12 Aire ServHighly sensitive · tested #8–#13
#13 Mister Sparky ElectricHighly sensitive · tested #10–#14
#14 Workout AnytimeHighly sensitive · tested #7–#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.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+2.0+1.00.0-1.0-2.0
Target-market demand
#1 City Wide · Target-market demand · +1.7 pts1#2 Jan-Pro International · Target-market demand · +1.2 pts2#3 HomeSmiles · Target-market demand · +0.6 pts3#4 FASTSIGNS · Target-market demand · +0.7 pts4#5 ActionCOACH · Target-market demand · +0.3 pts5#6 Rainbow International Restoration · Target-market demand · +0.2 pts6#14 Workout Anytime · Target-market demand · -0.4 pts14
Property replacement-cycle demand
#6 Rainbow International Restoration · Property replacement-cycle demand · +0.5 pts6#7 PuroClean · Property replacement-cycle demand · +0.6 pts7#8 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.3 pts8#10 ZOOM DRAIN · Property replacement-cycle demand · +0.7 pts10#11 Mr. Rooter · Property replacement-cycle demand · +0.7 pts11#12 Aire Serv · Property replacement-cycle demand · +0.7 pts12#13 Mister Sparky Electric · Property replacement-cycle demand · +0.6 pts13
Labor and staffing friction
#6 Rainbow International Restoration · Labor and staffing friction · -0.3 pts6#7 PuroClean · Labor and staffing friction · -0.3 pts7#8 Pillar To Post Home Inspectors · Labor and staffing friction · -0.1 pts8#10 ZOOM DRAIN · Labor and staffing friction · -0.7 pts10#11 Mr. Rooter · Labor and staffing friction · -0.8 pts11#12 Aire Serv · Labor and staffing friction · -0.8 pts12#13 Mister Sparky Electric · Labor and staffing friction · -0.8 pts13
Transportation, routing, and parking
#1 City Wide · Transportation, routing, and parking · -0.1 pts1#2 Jan-Pro International · Transportation, routing, and parking · -0.2 pts2#3 HomeSmiles · Transportation, routing, and parking · -0.2 pts3#4 FASTSIGNS · Transportation, routing, and parking · -0.3 pts4#6 Rainbow International Restoration · Transportation, routing, and parking · -0.3 pts6#7 PuroClean · Transportation, routing, and parking · -0.2 pts7#8 Pillar To Post Home Inspectors · Transportation, routing, and parking · -0.2 pts8#9 Tiger Adjusters · Transportation, routing, and parking · -0.1 pts9#10 ZOOM DRAIN · Transportation, routing, and parking · -0.3 pts10#11 Mr. Rooter · Transportation, routing, and parking · -0.3 pts11#12 Aire Serv · Transportation, routing, and parking · -0.3 pts12#13 Mister Sparky Electric · Transportation, routing, and parking · -0.3 pts13#14 Workout Anytime · Transportation, routing, and parking · -0.2 pts14
Primary source records by factorTarget-market demand: [4] [5] [6] [8] [10] [20] [1]Property replacement-cycle demand: [5] [21] [1]Competitive environment: [22] [4] [20] [3]Labor and staffing friction: [7] [5] [6] [2]Transportation, routing, and parking: [16] [17] [18] [19] [3]Real estate and site feasibility: [20] [6] [13] [15] [1]Sales and customer acquisition: [9] [10] [11] [22]Referral ecosystem: [6] [10] [11] [4]Territory quality: [12] [13] [15] [16] [18] [3]Regulatory and operating friction: [12] [13] [14] [15] [21] [2] [3]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionTransportation, routing, and parking
#1 City Wide+1.7 pts——-0.1 pts
#2 Jan-Pro International+1.2 pts——-0.2 pts
#3 HomeSmiles+0.6 pts——-0.2 pts
#4 FASTSIGNS+0.7 pts——-0.3 pts
#5 ActionCOACH+0.3 pts———
#6 Rainbow International Restoration+0.2 pts+0.5 pts-0.3 pts-0.3 pts
#7 PuroClean—+0.6 pts-0.3 pts-0.2 pts
#8 Pillar To Post Home Inspectors—+0.3 pts-0.1 pts-0.2 pts
#9 Tiger Adjusters———-0.1 pts
#10 ZOOM DRAIN—+0.7 pts-0.7 pts-0.3 pts
#11 Mr. Rooter—+0.7 pts-0.8 pts-0.3 pts
#12 Aire Serv—+0.7 pts-0.8 pts-0.3 pts
#13 Mister Sparky Electric—+0.6 pts-0.8 pts-0.3 pts
#14 Workout Anytime-0.4 pts——-0.2 pts

Interpretation

How to interpret the result

City Wide, Jan-Pro International, HomeSmiles 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 City Wide, Jan-Pro International, HomeSmiles; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in Toledo, Ohio

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

Limited two-concept comparison

Best Restoration franchise opportunities we assessed in Toledo, Ohio

70.1

2 Restoration concepts qualified for comparison, with scores ranging from 70.0 to 70.2. Rainbow International Restoration ranked highest at 70.2. Property replacement-cycle demand added 0.5 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.3 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
70.0–70.2
Category average
70.1
Rainbow International Restoration70.2
PuroClean70.0

Metric registry

The 29 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
MetricRaw valuePeriodGeographyRole in analysisSource
Resident population estimate on July 1, 2025263,423peopleJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioContext only [4]
Population change from April 2020 estimate base to July 2025-2.8percentJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioContext only [4]
Households, 2020-2024118,662householdsJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioContext only [4]
Owner-occupied housing unit rate, 2020-202453.3percentJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioContext only [4]
Median household income in 2024 dollars, 2020-202449,724USD per yearJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioUsed in scoring [4]
Persons in poverty24.3percentJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioUsed in scoring [4]
Health care and social assistance receipts/revenue in 20223,877,054,000USDJuly 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measuresToledo, OhioUsed in scoring [4]
Renter households paying more than 30 percent of monthly income toward housing costs52.4percent of renter householdsPrimarily 2022 ACS five-year data for housing profileToledo, OhioUsed in scoring [5]
Housing units built in 1979 or earlier84percent of housing unitsPrimarily 2022 ACS five-year data for housing profileToledo, OhioSupports modeled relationship [5]
Housing units built in 1939 or earlier32.1percent of housing unitsPrimarily 2022 ACS five-year data for housing profileToledo, OhioSupports modeled relationship [5]
Residential rental properties with 1-4 units built before 1978 are required to meet lead-safe standards and maintain a Lead-Safe Certificateunit count min: 1; unit count max: 4; construction year before: 1,978; certificate required: yesregulatory thresholdCurrent requirements accessed August 2026Toledo residential rentals with 1-4 units built before 1978Supports modeled relationship [21]
Education and health services payroll employment in the Toledo HMA in first quarter 202552,000jobsEconomic and housing conditions through April-May 2025Toledo, OH Metropolitan Statistical AreaUsed in scoring [6]
Largest-employer table lists ProMedica and Mercy Health as major Toledo HMA employersProMedica: 15,000; Mercy Health: 8,800employees reported by HUD tableEconomic and housing conditions through April-May 2025Toledo, OH Metropolitan Statistical AreaUsed in scoring [6]
University of Toledo fall 2025 enrollment14,290studentsFall 2025University of ToledoUsed in scoring [8]
University of Toledo issued RFP FY26-15 for regulated medical waste and sharps managementissue date: 2026-05-07; due date: 2026-06-05; status as of 2026 07 20: Pendingprocurement recordActive and pending RFPs through July 20, 2026University of ToledoUsed in scoring [10]
University competitive bid event thresholds for a single supplier annuallygoods over USD: 50,000; services over USD: 75,000USD thresholdCurrent procurement thresholds accessed August 2026University of ToledoConditional relationship [9]
City procurement uses PlanetBids and requires vendor registration for many opportunities under $10,000platform: PlanetBids; under 10000 vendor registration required: yesprocurement processCurrent rules accessed August 2026Toledo, OhioConditional relationship [11]
Selected Toledo MSA major occupational wages and employment shares in May 2025all occupations mean hourly USD: 29.43; US all occupations mean hourly USD: 33.54; office admin mean hourly USD: 23.25; US office admin mean hourly USD: 24.79; construction extraction mean hourly USD: 32.53; US construction extraction mean hourly USD: 31.42; installation maintenance repair mean hourly USD: 29.97; US installation maintenance repair mean hourly USD: 30.44; additional values omittedmixed wage and share metricsMay 2025Toledo, OH Metropolitan Statistical AreaContext only [7]
Toledo zoning includes multiple overlay districts, including Shopping Center Sign Control, Monroe Street Corridor and Reynolds Road Sign OverlayShopping Center Sign Control Overlay, Monroe Street Corridor UNO, Reynolds Road Sign Overlay, Downtown Overlay, Historic Overlay, Maumee Riverfront Overlaynamed overlay districts2026 S-104 current code accessed August 2026Toledo, OhioConditional relationship [12] [13] [3]
A zoning map amendment has a $600 review fee and an average 90-day review processreview fee USD: 600; average review days: 90permit process metricCurrent process accessed August 2026Toledo, OhioConditional relationship [15]
Drive-through facilities are separately regulated under Toledo Zoning Code §1104.0800 and principal-use eligibility is determined through the use tablecode section: 1104.0800; use table section: 1104.0100code reference2026 S-104 current code accessed August 2026Toledo, OhioContext only [14] [2]
Named major-road projects scheduled in Toledo during 2026Summit Street Cycle Track, Sylvania Avenue, Arlington Avenue, Secor Road Laskey-Alexis, Executive Parkway, Alexis Road, Cherry-Bancroft Intersection, Douglas-Monroe Intersectionprojects2026 construction programToledo, OhioConditional relationship [16]
Alexis Road construction began July 13, 2026 and I-75 ramps are closed during stated nighttime work hourswork hours: 7 p.m. to 6 a.m.; I 75 ramps closed during work hours: yesproject access conditionConstruction beginning July 13, 2026Alexis Road from I-75 to Suder Avenue, ToledoConditional relationship [17]
The planned 2026 reconstruction of Secor Road from Dorr Street to Central Avenue was paused for corridor re-evaluationstatus: paused; update date: 2025-11-20; 2024 average daily traffic: 19,245project status and AADT2025-2026 project status and 2024 traffic countSecor Road, Dorr Street to Central Avenue, ToledoConditional relationship [18] [3]
Residential streets are not routinely salted and are not plowed unless a stage 3 storm exceeds 3 inches; parking bans may be imposed on TARTA bus and snow-emergency routes in extreme weatherresidential plow threshold inches: 3; residential routine salting: no; emergency route parking ban possible: yeswinter operations ruleCurrent winter operations accessed August 2026Toledo, OhioUsed in scoring [19]
Toledo office market vacancy rate in June 202616.91percentFirst half / June 2026Toledo office marketContext only [20]
Toledo apartment market vacancy rate at mid-year 20263.2percentFirst half / June 2026Toledo apartment marketSupports research conclusion [20]
Class A apartment vacancy rate in the Toledo HMA in spring 202514.5percentEconomic and housing conditions through April-May 2025Toledo, OH Metropolitan Statistical AreaSupports research conclusion [6]
Top industrial transactions reported for the first half of 2026 accounted for 1.36 million square feet in new deals; the survey also reported increased new constructiontop transactions new deals sqft: 1,360,000; new construction direction: increased; class A leasing rate note: over $9 per square footmarket activity summaryFirst half / June 2026Toledo industrial marketContext only [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

01

Measure the city

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

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

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

04

Preserve conditional effects

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

05

Test rank sensitivity

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

06

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 71.60 after target-market demand +1.7 pts and transportation, routing, and parking -0.1 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 0.9.0 · Compiler 0.15.1-franchise-image-filter · Report generated August 19, 2026 (site timezone)

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

  1. 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.

  1. 1
    Structural Inefficiencies and Asymmetric Opportunities in U.S. Sub-Markets: A Utility Delta AuditInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Supplied research accessed through February 24, 2026
    Scope
    Toledo, Ohio section within multi-city research docket
    Locator
    Toledo section, supplied pages 18-20
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  2. 2
    Forensic Municipal Audit: Structural Constraints and Hidden Capital FrictionsInternal or supplied research; not publicly accessible.

    Used for: Drive-through facilities are separately regulated under Toledo Zoning Code §1104.0800 and principal-use eligibility is determined through the use table

    Publisher
    Supplied research material
    Data period
    Supplied research accessed through February 2026
    Scope
    Toledo, Ohio section within multi-city research docket
    Locator
    Section 9, Toledo, supplied pages 17-18
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  3. 3
    Franchise data - remake - des.csvInternal or supplied research; not publicly accessible.

    Used for: Toledo zoning includes multiple overlay districts, including Shopping Center Sign Control, Monroe Street Corridor and Reynolds Road Sign Overlay and The planned 2026 reconstruction of Secor Road from Dorr Street to Central Avenue was paused for corridor re-evaluation

    Publisher
    Supplied research material
    Data period
    Supplied neighborhood research table
    Scope
    Six Toledo neighborhood rows: Westgate, Old Orchard, Reynolds Corners, Deveaux, Point Place, Southwyck
    Locator
    Rows where %city%=Toledo and %state_name%=Ohio
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 10, 2026
  4. 4
    QuickFacts: Toledo city, Ohio

    Used for: Resident population estimate on July 1, 2025, Population change from April 2020 estimate base to July 2025, Households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, and Median household income in 2024 dollars, 2020-2024

    Publisher
    U.S. Census Bureau
    Data period
    July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic measures
    Scope
    Toledo city, Ohio
    Locator
    Population, housing, economy, transportation, income and poverty table
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  5. 5
    2025-2030 Analysis of Impediments and Fair Housing Action Plan - Draft for Public Comment

    Used for: Renter households paying more than 30 percent of monthly income toward housing costs, Housing units built in 1979 or earlier, and Housing units built in 1939 or earlier

    Publisher
    City of Toledo / Fair Housing Center
    Published
    March 26, 2025
    Data period
    Primarily 2022 ACS five-year data for housing profile
    Scope
    City of Toledo, Ohio
    Locator
    Housing Profile, pages 56-57: renter cost burden and age of properties
    Source tier
    Tier 2 · municipal-commissioned institutional research
    Accessed
    August 10, 2026
  6. 6
    HUD PD&R Housing Market Profile: Toledo, Ohio

    Used for: Education and health services payroll employment in the Toledo HMA in first quarter 2025, Largest-employer table lists ProMedica and Mercy Health as major Toledo HMA employers, and Class A apartment vacancy rate in the Toledo HMA in spring 2025

    Publisher
    U.S. Department of Housing and Urban Development, Office of Policy Development and Research
    Published
    July 2, 2025
    Data period
    Economic and housing conditions through April-May 2025
    Scope
    Toledo Housing Market Area / Toledo metropolitan area, with selected city-specific references
    Locator
    Economic Conditions; Sales Market Conditions; Rental Market Conditions tables and narrative
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  7. 7
    Occupational Employment and Wages in Toledo — May 2025

    Used for: Selected Toledo MSA major occupational wages and employment shares in May 2025

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 21, 2026
    Data period
    May 2025
    Scope
    Toledo, OH Metropolitan Statistical Area: Fulton, Lucas, and Wood Counties
    Locator
    Table A major occupational groups and transportation/material-moving detail
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  8. 8
    Fall Enrollment Numbers Celebrate Student Success

    Used for: University of Toledo fall 2025 enrollment

    Publisher
    University of Toledo
    Published
    September 9, 2025
    Data period
    Fall 2025
    Scope
    University of Toledo
    Locator
    Fall 2025 total, undergraduate, and graduate headcount
    Source tier
    Tier 1 · public institution
    Accessed
    August 10, 2026
  9. 9
    Purchasing Services: Procedures

    Used for: University competitive bid event thresholds for a single supplier annually

    Publisher
    University of Toledo
    Published
    July 15, 2024
    Data period
    Current procurement thresholds accessed August 2026
    Scope
    University of Toledo procurement
    Locator
    Purchase-method thresholds and competitive-bid requirements
    Source tier
    Tier 1 · public institution
    Accessed
    August 10, 2026
  10. 10
    Purchasing Services: Request for Proposal

    Used for: University of Toledo issued RFP FY26-15 for regulated medical waste and sharps management

    Publisher
    University of Toledo
    Published
    July 20, 2026
    Data period
    Active and pending RFPs through July 20, 2026
    Scope
    University of Toledo procurement
    Locator
    FY27-01 and FY26 RFP table, including regulated medical waste and sharps management
    Source tier
    Tier 1 · public institution
    Accessed
    August 10, 2026
  11. 11
    How to do Business with the City

    Used for: City procurement uses PlanetBids and requires vendor registration for many opportunities under $10,000

    Publisher
    City of Toledo
    Data period
    Current rules accessed August 2026
    Scope
    City of Toledo procurement
    Locator
    PlanetBids, vendor registration, living wage, prevailing wage and local preference sections
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  12. 12
    Chapter 1103 Overlay Zoning Districts

    Used for: Toledo zoning includes multiple overlay districts, including Shopping Center Sign Control, Monroe Street Corridor and Reynolds Road Sign Overlay

    Publisher
    City of Toledo / American Legal Publishing
    Data period
    2026 S-104 current code accessed August 2026
    Scope
    City of Toledo
    Locator
    Sections 1103.0100-1103.1600, including Shopping Center Sign Control, Monroe Street Corridor and Reynolds Road Sign overlays
    Source tier
    Tier 1 · government regulation
    Accessed
    August 10, 2026
  13. 13
    Toledo GIS Zoning Map and Overlay District Layer

    Used for: Toledo zoning includes multiple overlay districts, including Shopping Center Sign Control, Monroe Street Corridor and Reynolds Road Sign Overlay

    Publisher
    Toledo-Lucas County Plan Commission / City of Toledo
    Data period
    Current mapped zoning accessed August 2026
    Scope
    City of Toledo parcels and overlay districts
    Locator
    Searchable official zoning map; overlay districts and base zoning
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  14. 14
    Chapter 1104 Use Regulations and §1104.0800 Drive-through Facilities

    Used for: Drive-through facilities are separately regulated under Toledo Zoning Code §1104.0800 and principal-use eligibility is determined through the use table

    Publisher
    City of Toledo / American Legal Publishing
    Data period
    2026 S-104 current code accessed August 2026
    Scope
    City of Toledo
    Locator
    §1104.0100 use table and §1104.0800 drive-through facilities
    Source tier
    Tier 1 · government regulation
    Accessed
    August 10, 2026
  15. 15
    Zone Change

    Used for: A zoning map amendment has a $600 review fee and an average 90-day review process

    Publisher
    City of Toledo
    Data period
    Current process accessed August 2026
    Scope
    City of Toledo
    Locator
    $600 review fee and average 90-day review process
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  16. 16
    Major Roads Construction

    Used for: Named major-road projects scheduled in Toledo during 2026

    Publisher
    City of Toledo
    Data period
    2026 construction program
    Scope
    City of Toledo major-road corridors
    Locator
    2026 project list
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  17. 17
    Alexis Rd. 2026

    Used for: Alexis Road construction began July 13, 2026 and I-75 ramps are closed during stated nighttime work hours

    Publisher
    City of Toledo
    Data period
    Construction beginning July 13, 2026
    Scope
    Alexis Road from I-75 to Suder Avenue, Toledo
    Locator
    Construction schedule and I-75 ramp-closure notice
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  18. 18
    Secor Rd. Corridor

    Used for: The planned 2026 reconstruction of Secor Road from Dorr Street to Central Avenue was paused for corridor re-evaluation

    Publisher
    City of Toledo
    Published
    November 20, 2025
    Data period
    2025-2026 project status and 2024 traffic count
    Scope
    Secor Road, Dorr Street to Central Avenue, Toledo
    Locator
    November 20, 2025 update and average daily traffic
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  19. 19
    Snow and Ice Removal

    Used for: Residential streets are not routinely salted and are not plowed unless a stage 3 storm exceeds 3 inches; parking bans may be imposed on TARTA bus and snow-emergency routes in extreme weather

    Publisher
    City of Toledo
    Data period
    Current winter operations accessed August 2026
    Scope
    City of Toledo street network
    Locator
    Plow phases, residential-street thresholds, snow emergency parking bans
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  20. 21
    Lead Safe Requirements for Property Owners

    Used for: Residential rental properties with 1-4 units built before 1978 are required to meet lead-safe standards and maintain a Lead-Safe Certificate

    Publisher
    City of Toledo
    Data period
    Current requirements accessed August 2026
    Scope
    Covered Toledo residential rental properties
    Locator
    1-4 unit pre-1978 rental coverage, inspection, certification and ongoing compliance
    Source tier
    Tier 1 · government
    Accessed
    August 10, 2026
  21. 22
    County Business Patterns: 2023
    Publisher
    U.S. Census Bureau
    Published
    June 26, 2025
    Data period
    Calendar year 2023
    Scope
    County, metro and ZIP Code business establishments by NAICS
    Locator
    Dataset description and county/ZIP industry files
    Source tier
    Tier 1 · government
    Accessed
    August 10, 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.

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