71.0 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Orlando, Florida
We compared 14 franchise concepts for Orlando, Florida. Local business demand was a leading positive mechanism. Territory and submarket uncertainty was a leading operating constraint.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
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
1.9 points average among 13 affected concepts
0.6 points average reduction among 14 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Orlando, Florida
City Wide, HomeSmiles, and ActionCOACH produced the highest modeled local-alignment scores in the evaluated set. Local business demand was the strongest positive scored mechanism among 10 exposed concepts, adding 1.2 points on average. Territory and submarket uncertainty was the broadest operating constraint, reducing exposed concepts by 0.6 points on average. 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 75.2Tier 2 · Favorable modeled alignment | +4.2 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 73.2Tier 2 · Favorable modeled alignment | +3.1 ptsTarget-market demand | -0.6 ptsTerritory quality | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 73.2Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | -0.2 ptsTerritory quality | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 72.2Tier 2 · Favorable modeled alignment | +2.9 ptsTarget-market demand | -0.8 ptsTerritory quality | Moderate evidence confidence |
| 5 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 72.2Tier 2 · Favorable modeled alignment | +3.4 ptsTarget-market demand | -1.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 72.1Tier 2 · Favorable modeled alignment | +1.4 ptsTarget-market demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 71.7Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | -0.6 ptsTerritory quality | Moderate evidence confidence |
| 8 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 71.4Tier 3 · Mixed modeled alignment | +1.4 ptsTarget-market demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
| 9 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 71.2Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | -0.6 ptsTerritory quality | Moderate evidence confidence |
| 10 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 71.0Tier 3 · Mixed modeled alignment | +1.2 ptsProperty replacement-cycle demand | -0.7 ptsTerritory quality | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Orlando, Florida
Large city employment and business-activity base
This relationship affected 10 concepts and added 1.2 points on average among those exposed. Local evidence: Total employment represented in the City of Orlando market report at year-end 2023: 376,722 jobs. [6]
Material operating variation among Orlando districts and destination corridors
This relationship affected 14 concepts and reduced 0.6 points on average among those exposed. Local evidence: City of Orlando commercial real estate conditions at year-end 2023: office inventory sqft: 32,499,600; office vacancy percent: 7.5; office average rent per sqft: 27.04; retail inventory sqft: 27,864,100; retail vacancy percent: 3; retail average rent per sqft: 28.51; industrial flex inventory sqft: 63,093,200; industrial flex vacancy percent: 2.6; additional values omitted square feet percent and usd. [6]
Central Florida visitors in 2025
The visitor count is an Orange County and Central Florida measure, while the strongest convention, attraction, and airport flows are concentrated in specific corridors and facilities, some outside Orlando city limits. It should not be converted into citywide neighborhood walk-in demand without a site or territory access test. [12] [13] [6] [7]
Evidence behind the city mechanisms
Large city employment and business-activity base1 modeled effect
Expanding residential inventory and household base1 modeled effect
High-rainfall and persistent-moisture property exposure1 modeled effect
Downtown freight-zone, curb-dwell, and commercial-vehicle constraints1 modeled effect
Tight retail availability and recurring site-based municipal costs1 modeled effect
Property-specific historic and planned-development design review1 modeled effect
Large healthcare, education, professional-services, and public-procurement ecosystem3 local facts · 2 modeled effects · 4 sources
- Selected City of Orlando employment concentrations at year-end 2023: health care and social assistance: 51,408; educational services: 39,120; professional services: 32,153; accommodation and food services: 30,715; administration and support: 27,411 jobs [6]
- Selected principal employers in the Orlando metropolitan area: Walt Disney World: 75,000; AdventHealth: 37,672; Universal Orlando Resort: 26,800; Orlando Health: 24,978; Lockheed Martin: 14,000; University of Central Florida: 13,004; SeaWorld Parks and Entertainment: 5,192; Darden Restaurants: 5,127 employees [7]
- City of Orlando suppliers use a formal electronic procurement workflow: platform: OpenGov; commodity code system: NIGP; opportunity types: construction, equipment, information technology, professional services, vehicles, other goods and services process attributes [24] [25]
Material operating variation among Orlando districts and destination corridors1 modeled effect
Large but geographically concentrated convention and visitor-event economy3 local facts · 2 modeled effects · 3 sources
- Central Florida visitors and Orange County Tourist Development Tax in 2025: visitors: 76,700,000; tourist development tax collections: 384,000,000 visitors and usd [12]
- Orange County Convention Center annual event, attendee, employment, and local-business base: annual events approximate: 200; annual attendees: 1,500,000; annual attendees and guests: 2,500,000; local businesses dependent in full or part: 1,200; direct and indirect workers: 28,100; annual economic impact: 3,900,000,000 events people businesses and usd [13]
- Orlando International Airport passenger volume reported for fiscal year 2025: 56,800,000 passengers [7]
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.
City Wide
Initial investment: $229,729–$410,730
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +4.2 pts | |
| Referral ecosystem |
| +1.4 pts |
| Labor and staffing friction |
| -0.2 pts |
| Territory quality |
| -0.1 pts |
| Net local movement | +5.21 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +4.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.4 |
| Territory quality | -0.1 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 75.21 |
| Published local-market alignment | 75.2 |
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
- Strong
- 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 +4.2 pts
- Tested rank range
- #1–#1
HomeSmiles
Initial investment: $148,110–$201,800
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 | +3.1 pts | |
| Referral ecosystem |
| +1.0 pts |
| Territory quality |
| -0.6 pts |
| Labor and staffing friction |
| -0.3 pts |
| Net local movement | +3.23 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +1.0 |
| Territory quality | -0.6 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.23 |
| Published local-market alignment | 73.2 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +3.1 pts
- Tested rank range
- #2–#6
ActionCOACH
Initial investment: $71,668–$303,513
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.3 pts | |
| Referral ecosystem |
| +1.1 pts |
| Territory quality |
| -0.2 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +3.16 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Effect below the publication threshold |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Effect below the publication threshold |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.1 |
| Territory quality | -0.2 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.16 |
| Published local-market alignment | 73.2 |
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
- Strong
- 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 +2.3 pts
- Tested rank range
- #3–#4
FASTSIGNS
Initial investment: $231,226–$386,285
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 | +2.9 pts | |
| Territory quality |
| -0.8 pts |
| Real estate and site feasibility |
| -0.6 pts |
| Referral ecosystem |
| +0.6 pts |
| Net local movement | +2.17 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.6 |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| Territory quality | -0.8 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.17 |
| Published local-market alignment | 72.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- 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 +2.9 pts
- Tested rank range
- #4–#12
Jan-Pro International
Initial investment: $130,000–$421,500
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 | +3.4 pts | |
| Labor and staffing friction |
| -1.1 pts |
| Territory quality |
| -0.5 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | +2.16 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | -0.5 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.16 |
| Published local-market alignment | 72.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- 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 +3.4 pts
- Tested rank range
- #3–#13
ZOOM DRAIN
Initial investment: $266,250–$570,500
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 | +1.4 pts | |
| Referral ecosystem |
| +0.8 pts |
| Territory quality |
| -0.7 pts |
| Property replacement-cycle demand | +0.7 pts | |
| Net local movement | +2.13 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.13 |
| Published local-market alignment | 72.1 |
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
- Strong
- 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 +1.4 pts
- Tested rank range
- #5–#8
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
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 | +1.6 pts | |
| Property replacement-cycle demand | +0.6 pts | |
| Territory quality |
| -0.5 pts |
| Net local movement | +1.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.5 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.71 |
| 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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #5–#7
Mr. Rooter
Initial investment: $152,900–$298,675
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 | +1.4 pts | |
| Property replacement-cycle demand | +0.7 pts | |
| Territory quality |
| -0.7 pts |
| Net local movement | +1.39 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.4 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.39 |
| 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
- Strong
- 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 +1.4 pts
- Tested rank range
- #7–#10
Aire Serv
Initial investment: $113,308–$271,708
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 | |
| Territory quality |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.5 pts |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +1.22 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| Property replacement-cycle demand | +0.5 |
| 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 applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.6 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.22 |
| Published local-market alignment | 71.2 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #8–#11
Rainbow International Restoration
Initial investment: $185,336–$351,900
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 | +1.2 pts | |
| Referral ecosystem |
| +0.9 pts |
| Territory quality |
| -0.7 pts |
| Labor and staffing friction |
| -0.6 pts |
| Target-market demand |
| +0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.05 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +1.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.9 |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.05 |
| Published local-market alignment | 71.0 |
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
- Strong
- 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 +1.2 pts
- Tested rank range
- #4–#12
PuroClean
Initial investment: $54,575–$262,145
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 | +1.2 pts | |
| Referral ecosystem |
| +0.9 pts |
| Territory quality |
| -0.7 pts |
| Labor and staffing friction |
| -0.5 pts |
| Net local movement | +0.94 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +1.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.9 |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.94 |
| Published local-market alignment | 70.9 |
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
- Strong
- 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 +1.2 pts
- Tested rank range
- #2–#13
Mister Sparky Electric
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 |
| +0.9 pts |
| Territory quality |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.59 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not applicable to this operating model |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.6 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.59 |
| 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
- Strong
- 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 +0.9 pts
- Tested rank range
- #10–#12
Tiger Adjusters
Initial investment: $43,050–$159,500
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 | +0.7 pts | |
| Territory quality |
| -0.4 pts |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +0.21 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.21 |
| Published local-market alignment | 70.2 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.7 pts
- Tested rank range
- #11–#13
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Real estate and site feasibility |
| -1.4 pts |
| Territory quality |
| -1.3 pts |
| Target-market demand |
| +0.7 pts |
| Labor and staffing friction |
| -0.6 pts |
| Regulatory and operating friction | Signage and prototype adaptation burden EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -2.61 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -1.4 |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -1.3 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.39 |
| Published local-market alignment | 67.4 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -1.4 pts
- Tested rank range
- #14–#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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +4.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.4 |
| Territory quality | -0.1 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 75.21 |
| Published local-market alignment | 75.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
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.
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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. FASTSIGNS moved from #4 to #12, the largest movement among concepts directly affected by this factor.
What we observed
- Population Change From The April 2020 Estimate Base To July 20258.4 percent
- Households In The 2020 2024 Estimate Period131,179 households
- Growth In City Of Orlando For Sale Residential Inventory From 2019 Through 2023growth percent: 13; single family units added: 5,058; condominium units added: 4,149; year end 2023 total units: 80,147 percent and units
Concepts helped most
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, 6 concepts changed position. Mister Sparky Electric moved from #12 to #10, the largest movement among concepts directly affected by this factor.
What we observed
- Growth In City Of Orlando For Sale Residential Inventory From 2019 Through 2023growth percent: 13; single family units added: 5,058; condominium units added: 4,149; year end 2023 total units: 80,147 percent and units
- Orlando International Annual Precipitation, Relative Humidity, And Heavy Weather Frequency In 2025precipitation total: 53.41; precipitation normal 1991 2020: 51.45; average relative humidity: 71; thunderstorm days: 119; heavy rain days: 49; days precipitation at least one inch: 19 inches percent and days
- City Flood Guidance Identifies More Than 53 Inches Of Typical Annual Rainfall And Several Local Flooding Mechanismstypical annual rainfall minimum: 53; short duration storm rainfall range: 1, 3; identified mechanisms: excessive rainfall, tropical storms and hurricanes, water bodies, inadequate or overloaded drainage inches and categories
Concepts helped most
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 8 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. Jan-Pro International moved from #5 to #3, the largest movement among concepts directly affected by this factor.
What we observed
- Frontline Occupation Concentration And Mean Wages In The Orlando Metropolitan Areafood preparation and serving jobs: 163,040; food preparation and serving employment share: 11.5; food preparation and serving mean hourly wage: 18.16; sales employment share: 10.7; sales mean hourly wage: 23.67; building and grounds cleaning employment share: 4.1; building and grounds cleaning mean hourly wage: 18.25; office and administrative support employment share: 12.3; additional values omitted jobs percent and usd per hour
- Current Orlando Metropolitan Labor Market Indicatorsunemployment rate may 2026: 4.4; labor force may 2026: 1,534,100; employment may 2026: 1,466,100; nonfarm employment june 2026: 1,506,600; nonfarm year over year change june 2026: 1.4 percent and people
- Selected City Of Orlando Employment Concentrations At Year End 2023health care and social assistance: 51,408; educational services: 39,120; professional services: 32,153; accommodation and food services: 30,715; administration and support: 27,411 jobs
Concepts challenged most
Real estate and site feasibility
We applied site and operating-base constraints only to concepts requiring comparable storefront, production, warehouse, or fleet space.
Why concepts react differently
We applied a measurable adjustment to 2 of 14 concepts. When we neutralized the factor and recalculated the table, 2 concepts changed position. FASTSIGNS moved from #4 to #4, the largest movement among concepts directly affected by this factor.
What we observed
- City Of Orlando Commercial Real Estate Conditions At Year End 2023office inventory sqft: 32,499,600; office vacancy percent: 7.5; office average rent per sqft: 27.04; retail inventory sqft: 27,864,100; retail vacancy percent: 3; retail average rent per sqft: 28.51; industrial flex inventory sqft: 63,093,200; industrial flex vacancy percent: 2.6; additional values omitted square feet percent and usd
- Annual City Of Orlando Commercial Stormwater Utility Rates In Fiscal Year 2026standard rate per sqft: 0.1012; ouswmm compliant rate per sqft: 0.0587; standard 50000 sqft annual fee: 5,057.5; ouswmm 50000 sqft annual fee: 2,933.35 usd per square foot and usd
- Orlando Metropolitan Retail Vacancy Remained Below Its Long Term Average While Much Incoming Supply Was Preleasedvacancy basis points below long term average: 140; incoming space preleased share minimum: 70; selected submarket vacancy examples: southern outlying suburbs and osceola: 2, lake county: 4 basis points and percent
Concepts challenged most
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, 9 concepts changed position. FASTSIGNS moved from #4 to #6, the largest movement among concepts directly affected by this factor.
Concepts helped most
Territory quality
We measured whether the territory structure could support the required customer density, service radius, and operating model.
Why concepts react differently
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 2 concepts changed position. ZOOM DRAIN moved from #6 to #5, the largest movement among concepts directly affected by this factor.
What we observed
- City Of Orlando Commercial Real Estate Conditions At Year End 2023office inventory sqft: 32,499,600; office vacancy percent: 7.5; office average rent per sqft: 27.04; retail inventory sqft: 27,864,100; retail vacancy percent: 3; retail average rent per sqft: 28.51; industrial flex inventory sqft: 63,093,200; industrial flex vacancy percent: 2.6; additional values omitted square feet percent and usd
- Central Florida Visitors And Orange County Tourist Development Tax In 2025visitors: 76,700,000; tourist development tax collections: 384,000,000 visitors and usd
- City Market Analysis Separately Evaluates 12 Main Street Districts And Lake Nona Across Multiple Property Sectorsmain street districts: 12; additional named submarket: Lake Nona; property sectors: office, retail, industrial/flex, for-rent multifamily, hotel districts and categories
Concepts challenged most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Sales and customer acquisitionNo 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.
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.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Real estate and site feasibility | Referral ecosystem | Territory quality |
|---|---|---|---|---|---|---|
| #1 City Wide | +4.2 pts | — | -0.2 pts | — | +1.4 pts | -0.1 pts |
| #2 HomeSmiles | +3.1 pts | — | -0.3 pts | — | +1.0 pts | -0.6 pts |
| #3 ActionCOACH | +2.3 pts | — | — | — | +1.1 pts | -0.2 pts |
| #4 FASTSIGNS | +2.9 pts | — | — | -0.6 pts | +0.6 pts | -0.8 pts |
| #5 Jan-Pro International | +3.4 pts | — | -1.1 pts | — | +0.3 pts | -0.5 pts |
| #6 ZOOM DRAIN | +1.4 pts | +0.7 pts | — | — | +0.8 pts | -0.7 pts |
| #7 Pillar To Post Home Inspectors | +1.6 pts | +0.6 pts | — | — | — | -0.6 pts |
| #8 Mr. Rooter | +1.4 pts | +0.7 pts | — | — | — | -0.7 pts |
| #9 Aire Serv | +1.5 pts | +0.5 pts | -0.1 pts | — | — | -0.6 pts |
| #10 Rainbow International Restoration | +0.2 pts | +1.2 pts | -0.6 pts | — | +0.9 pts | -0.7 pts |
| #11 PuroClean | — | +1.2 pts | -0.5 pts | — | +0.9 pts | -0.7 pts |
| #12 Mister Sparky Electric | +0.9 pts | +0.3 pts | — | — | — | -0.6 pts |
| #13 Tiger Adjusters | +0.7 pts | — | -0.1 pts | — | — | -0.4 pts |
| #14 Workout Anytime | +0.7 pts | — | -0.6 pts | -1.4 pts | — | -1.3 pts |
Interpretation
How to interpret the result
City Wide, HomeSmiles, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to territory quality. 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 HomeSmiles, FASTSIGNS, Jan-Pro International; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Orlando, Florida
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Orlando, Florida
2 Restoration concepts qualified for comparison, with scores ranging from 70.9 to 71.0. Rainbow International Restoration ranked highest at 71.0. Property replacement-cycle demand added 1.2 points on average among the affected concepts. Territory quality reduced the exposed concepts by 0.7 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.9–71.0
- Category average
- 71.0
Metric registry
The 34 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 | 333,888people | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Orlando, Florida | Context only | [5] |
| Population change from the April 2020 estimate base to July 2025 | 8.4percent | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Orlando, Florida | Used in scoring | [5] |
| Households in the 2020-2024 estimate period | 131,179households | July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business and sales measures | Orlando, Florida | Used in scoring | [5] |
| Total employment represented in the City of Orlando market report at year-end 2023 | 376,722jobs | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Selected City of Orlando employment concentrations at year-end 2023 | health care and social assistance: 51,408; educational services: 39,120; professional services: 32,153; accommodation and food services: 30,715; administration and support: 27,411jobs | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Selected taxable sales collections represented in the City of Orlando market report | all kind codes: 3,041,108,731; automotive dealers: 461,200,000; hotel motel accommodations: 378,000,000; admissions and recreation services: 326,700,000; restaurants and catering: 291,500,000; commercial real estate leasing: 198,300,000usd | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Estimated resident consumer spending and category allocation at year-end 2023 | total: 11,421,000,000; housing share: 34; retail goods share: 30; food share: 12; health care share: 7.5; entertainment and recreation share: 4usd and percent | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Context only | [6] |
| Growth in City of Orlando for-sale residential inventory from 2019 through 2023 | growth percent: 13; single family units added: 5,058; condominium units added: 4,149; year end 2023 total units: 80,147percent and units | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Market-rate for-rent multifamily inventory at year-end 2023 | units: 71,050; occupancy rate: 91.9; vacancy rate: 8.1; average effective rent per unit: 1,673units percent and usd | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Housing units built from 1980 through 2009 | units: 71,937; share: 50.62; total housing units: 142,115; built 1980 1989: 22,127; built 1990 1999: 20,958; built 2000 2009: 28,852housing units and percent | 2021 Census/ACS-derived housing characteristics | Orlando, Florida | Used in scoring | [26] [2] |
| Orlando International annual precipitation, relative humidity, and heavy-weather frequency in 2025 | precipitation total: 53.41; precipitation normal 1991 2020: 51.45; average relative humidity: 71; thunderstorm days: 119; heavy rain days: 49; days precipitation at least one inch: 19inches percent and days | Calendar year 2025 and 1991-2020 climate normals | Orlando International Airport | Used in scoring | [10] |
| City flood guidance identifies more than 53 inches of typical annual rainfall and several local flooding mechanisms | typical annual rainfall minimum: 53; short duration storm rainfall range: 1, 3; identified mechanisms: excessive rainfall, tropical storms and hurricanes, water bodies, inadequate or overloaded drainageinches and categories | Current rules and guidance accessed August 2026 | Orlando, Florida | Used in scoring | [11] |
| Development and substantial-improvement requirements for mapped Special Flood Hazard Areas | freeboard above base flood elevation: 1; substantial improvement threshold: 50; substantial damage threshold: 50; commercial floodplain development permit required: yes; elevation certificate required: yesfeet and percent | Current rules and guidance accessed August 2026 | FEMA Special Flood Hazard Areas within Orlando | Context only | [11] |
| City of Orlando commercial real estate conditions at year-end 2023 | office inventory sqft: 32,499,600; office vacancy percent: 7.5; office average rent per sqft: 27.04; retail inventory sqft: 27,864,100; retail vacancy percent: 3; retail average rent per sqft: 28.51; industrial flex inventory sqft: 63,093,200; industrial flex vacancy percent: 2.6; additional values omittedsquare feet percent and usd | Year-end 2023 with development pipeline through August 2024 | Orlando, Florida | Used in scoring | [6] |
| Orlando metropolitan industrial conditions in Q2 2026 | vacancy percent cbre: 10.2; availability percent cbre: 12.7; average asking rent per sqft cbre: 10.29; vacancy percent cushman: 8.4; under construction sqft cbre: 2,900,000percent usd and square feet | Second quarter 2026 | Orlando industrial market | Context only | [14] [16] |
| Sub-50,000-square-foot industrial space showed vintage-specific divergence in early 2026 | older pre 1980 product net absorption: negative; newer small bay vacancy: mid-5-percent rangedirection and percent range | Second quarter 2026 | Orlando industrial market | Context only | [15] |
| Orlando metropolitan retail vacancy remained below its long-term average while much incoming supply was preleased | vacancy basis points below long term average: 140; incoming space preleased share minimum: 70; selected submarket vacancy examples: southern outlying suburbs and osceola: 2, lake county: 4basis points and percent | First quarter 2026 outlook using late-2025 and January 2026 conditions | Orlando retail market | Used in scoring | [17] |
| Annual City of Orlando commercial stormwater utility rates in fiscal year 2026 | standard rate per sqft: 0.1012; ouswmm compliant rate per sqft: 0.0587; standard 50000 sqft annual fee: 5,057.5; ouswmm 50000 sqft annual fee: 2,933.35usd per square foot and usd | Fiscal years 2025-2028 rate schedule | Orlando, Florida | Used in scoring | [23] |
| Frontline occupation concentration and mean wages in the Orlando metropolitan area | food preparation and serving jobs: 163,040; food preparation and serving employment share: 11.5; food preparation and serving mean hourly wage: 18.16; sales employment share: 10.7; sales mean hourly wage: 23.67; building and grounds cleaning employment share: 4.1; building and grounds cleaning mean hourly wage: 18.25; office and administrative support employment share: 12.3; additional values omittedjobs percent and usd per hour | May 2025 | Orlando-Kissimmee-Sanford MSA | Used in scoring | [8] |
| Selected principal employers in the Orlando metropolitan area | Walt Disney World: 75,000; AdventHealth: 37,672; Universal Orlando Resort: 26,800; Orlando Health: 24,978; Lockheed Martin: 14,000; University of Central Florida: 13,004; SeaWorld Parks and Entertainment: 5,192; Darden Restaurants: 5,127employees | Fiscal year ended September 30, 2025; employer table uses 2024 rankings | Orlando-Kissimmee-Sanford MSA | Used in scoring | [7] |
| Current Orlando metropolitan labor-market indicators | unemployment rate may 2026: 4.4; labor force may 2026: 1,534,100; employment may 2026: 1,466,100; nonfarm employment june 2026: 1,506,600; nonfarm year over year change june 2026: 1.4percent and people | Labor force through May 2026 and payroll employment through June 2026 | Orlando-Kissimmee-Sanford MSA | Used in scoring | [9] |
| Central Florida visitors and Orange County Tourist Development Tax in 2025 | visitors: 76,700,000; tourist development tax collections: 384,000,000visitors and usd | 2025 visitation and Tourist Development Tax; fiscal-year 2026 convention projections | Orange County and Central Florida | Used in scoring | [12] |
| Orange County Convention Center annual event, attendee, employment, and local-business base | annual events approximate: 200; annual attendees: 1,500,000; annual attendees and guests: 2,500,000; local businesses dependent in full or part: 1,200; direct and indirect workers: 28,100; annual economic impact: 3,900,000,000events people businesses and usd | PFM Group Consulting study using 2023 activity and recent event averages | Orange County Convention Center and Central Florida | Supports modeled relationship | [13] |
| Orlando International Airport passenger volume reported for fiscal year 2025 | 56,800,000passengers | Fiscal year ended September 30, 2025; employer table uses 2024 rankings | Orlando International Airport | Used in scoring | [7] |
| Properties subject to City of Orlando historic-district or landmark review | historic districts: 6; individual landmarks approximate: 50; covered properties approximate: 1,800; share of city properties maximum: 5count and percent | Current requirements accessed August 2026 | City of Orlando historic districts and landmarks | Conditional relationship | [18] [19] |
| Exterior work review requirements in City of Orlando historic districts and landmarks | certificate before building or engineering permit: yes; minor review examples: small signs, awnings, roofs, windows, siding, exterior lighting; minor review typical days: 2, 10; major review examples: major alterations, additions, new construction, demolition; major review approximate weeks: 7requirements and time | Current requirements accessed August 2026 | City of Orlando historic districts and landmarks | Conditional relationship | [18] [19] |
| Baldwin Park Planned Development maintains separate regulatory, architectural, and sign-design documents | planned development: yes; separate sign design guidelines: yes; separate architectural standards: yes; property owner or town architect authorization may be required: yesboolean | Current planned-development documents accessed August 2026 | Baldwin Park, Orlando | Conditional relationship | [20] [4] |
| Selected City of Orlando business fee-assistance programs exclude franchises or national chains | transportation impact fee waiver reimbursement maximum: 20,000; business assistance match percent: 50; business assistance maximum: 20,000; franchises excluded: yesusd percent and boolean | Current program rules accessed August 2026 | City of Orlando | Context only | [21] [22] |
| City of Orlando suppliers use a formal electronic procurement workflow | platform: OpenGov; commodity code system: NIGP; opportunity types: construction, equipment, information technology, professional services, vehicles, other goods and servicesprocess attributes | Current procurement workflow accessed August 2026 | City of Orlando procurement | Supports modeled relationship | [24] [25] |
| Downtown freight-zone permit and dwell-time rules | vehicle weight threshold pounds: 5,000; vehicle width threshold inches: 80; freight zone maximum minutes: 30; return wait minutes: 30; permit expiration: September 30 annually; first vehicle full year fee including tax: 74.55thresholds minutes and usd | Current permit rules and fees accessed August 2026 | Downtown Orlando | Conditional relationship | [27] |
| Commercial-vehicle parking is restricted in residential and office districts except for loading and unloading | prohibited on public streets: yes; prohibited on private driveways and property in residential or office districts: yes; loading unloading exception: yesboolean | Current code summary accessed August 2026 | Orlando, Florida | Conditional relationship | [28] |
| Edgewater Drive Segment A was out for bid in July 2026 with construction planned to begin in November 2026 | bid month: 2026-07; planned notice to proceed: 2026-11; planned construction duration days: 330; planned substantial completion: 2027-09dates and days | Project schedule current July 2026 | Edgewater Drive at Lakeview Street, Orlando | Context only | [29] |
| Downtown parking modernization is changing payment methods and later enforcement and pricing rules | meter removal start: 2026-07-01; cashless target: 2026-10-01; phase two start: 2026-10-01; off street spaces approximate: 9,000; paid on street spaces approximate: 1,200; future on street enforcement end hour: 20; future daily garage maximum: 20dates spaces hours and usd | July through fourth quarter 2026 implementation | Downtown Orlando | Conditional relationship | [30] |
| City market analysis separately evaluates 12 Main Street districts and Lake Nona across multiple property sectors | main street districts: 12; additional named submarket: Lake Nona; property sectors: office, retail, industrial/flex, for-rent multifamily, hoteldistricts and categories | Year-end 2023 with development pipeline through August 2024 | City of Orlando | Used in scoring | [6] |
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 whose applicability is established at the report’s current geographic and operating scope.
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 75.21 after target-market demand +4.2 pts, referral ecosystem +1.4 pts, labor and staffing friction -0.2 pts, and territory quality -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
How factor rows are classified
“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 claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.
- 1Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
- 2The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Housing units built from 1980 through 2009
- 3Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
- 4Franchise neighborhood operating notesInternal or supplied research; not publicly accessible.
Used for: Baldwin Park Planned Development maintains separate regulatory, architectural, and sign-design documents
- 5QuickFacts: Orlando city, Florida
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, and Households in the 2020-2024 estimate period
- 6Orlando Market Report 2023-2024
Used for: Total employment represented in the City of Orlando market report at year-end 2023, Selected City of Orlando employment concentrations at year-end 2023, Selected taxable sales collections represented in the City of Orlando market report, Estimated resident consumer spending and category allocation at year-end 2023, and Growth in City of Orlando for-sale residential inventory from 2019 through 2023
- 72025 Popular Annual Financial Report
Used for: Selected principal employers in the Orlando metropolitan area and Orlando International Airport passenger volume reported for fiscal year 2025
- 8Occupational Employment and Wages in Orlando-Kissimmee-Sanford, FL — May 2025
Used for: Frontline occupation concentration and mean wages in the Orlando metropolitan area
- 9Orlando-Kissimmee-Sanford, FL Economy at a Glance
Used for: Current Orlando metropolitan labor-market indicators
- 10Orlando International Climate Summary for the Year of 2025
Used for: Orlando International annual precipitation, relative humidity, and heavy-weather frequency in 2025
- 11Floodplain and Flooding Information
Used for: City flood guidance identifies more than 53 inches of typical annual rainfall and several local flooding mechanisms and Development and substantial-improvement requirements for mapped Special Flood Hazard Areas
- 12State of the County
Used for: Central Florida visitors and Orange County Tourist Development Tax in 2025
- 13Economic and Employment Impact
Used for: Orange County Convention Center annual event, attendee, employment, and local-business base
- 14Orlando Industrial Figures - Q2 2026
Used for: Orlando metropolitan industrial conditions in Q2 2026
- 15Orlando Industrial Market Report
Used for: Sub-50,000-square-foot industrial space showed vintage-specific divergence in early 2026
- 16Orlando MarketBeat Reports
Used for: Orlando metropolitan industrial conditions in Q2 2026
- 17Orlando Retail Market Report
Used for: Orlando metropolitan retail vacancy remained below its long-term average while much incoming supply was preleased
- 18Historic Preservation FAQs
Used for: Properties subject to City of Orlando historic-district or landmark review and Exterior work review requirements in City of Orlando historic districts and landmarks
- 19Historic Preservation Districts
Used for: Properties subject to City of Orlando historic-district or landmark review and Exterior work review requirements in City of Orlando historic districts and landmarks
- 20Baldwin Park
Used for: Baldwin Park Planned Development maintains separate regulatory, architectural, and sign-design documents
- 21Transportation Impact Fee Waiver
Used for: Selected City of Orlando business fee-assistance programs exclude franchises or national chains
- 22Business Assistance Program
Used for: Selected City of Orlando business fee-assistance programs exclude franchises or national chains
- 23Stormwater Utility Fee
Used for: Annual City of Orlando commercial stormwater utility rates in fiscal year 2026
- 24Register to Receive Procurement Notifications
Used for: City of Orlando suppliers use a formal electronic procurement workflow
- 25Small and Local Business Enterprise Guide
Used for: City of Orlando suppliers use a formal electronic procurement workflow
- 26Orlando city, Florida demographics
Used for: Housing units built from 1980 through 2009
- 27Apply for a Freight Loading and Unloading Permit
Used for: Downtown freight-zone permit and dwell-time rules
- 28Citizen's Guide to City of Orlando Codes
Used for: Commercial-vehicle parking is restricted in residential and office districts except for loading and unloading
- 29Edgewater Drive Complete Street Project
Used for: Edgewater Drive Segment A was out for bid in July 2026 with construction planned to begin in November 2026
- 30Parking System Modernization Project
Used for: Downtown parking modernization is changing payment methods and later enforcement and pricing rules
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.















































































