Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in San Jose, California

We compared 14 franchise concepts for San Jose, California. Local business demand was a leading positive mechanism. Skilled-trade labor competition 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
24Sources used
16Primary sources
25Local 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

67.6 average across 2 concepts

Largest positive factorTarget-market demand

0.8 points average among 11 affected concepts

Largest negative factorLabor and staffing friction

1.7 points average reduction among 14 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

Executive conclusion

What the ranking means for San Jose, California

City Wide, ActionCOACH, and FASTSIGNS 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 0.9 points on average. Skilled-trade labor competition was the broadest operating constraint, reducing exposed concepts by 1.6 points on average. Mister Sparky Electric was especially relationship-sensitive: removing skilled-trade labor competition moved it from #13 to #9 in the full model rerun. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.

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

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

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

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility managementInvestment: $229,729–$410,730
71.6Tier 3 · Mixed modeled alignment
+2.1 ptsTarget-market demand -0.5 ptsLabor and staffing friction Moderate evidence confidence
2ActionCOACHBusiness coachingInvestment: $71,668–$303,513
71.5Tier 3 · Mixed modeled alignment
+1.5 ptsTarget-market demand -0.1 ptsLabor and staffing friction Moderate evidence confidence
3FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285
71.0Tier 3 · Mixed modeled alignment
+1.8 ptsTarget-market demand -0.8 ptsLabor and staffing friction Moderate evidence confidence
4Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290
69.8Tier 3 · Mixed modeled alignment
+0.1 ptsTarget-market demand -0.5 ptsLabor and staffing friction Moderate evidence confidence
5Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500
69.5Tier 3 · Mixed modeled alignment
+0.2 ptsTarget-market demand -0.7 ptsLabor and staffing friction Moderate evidence confidence
6HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
69.4Tier 3 · Mixed modeled alignment
+1.1 ptsTarget-market demand -1.7 ptsLabor and staffing friction Moderate evidence confidence
7Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500
69.3Tier 3 · Mixed modeled alignment
+1.8 ptsTarget-market demand -2.5 ptsLabor and staffing friction Moderate evidence confidence
8ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
68.2Tier 3 · Mixed modeled alignment
+0.4 ptsTarget-market demand -2.4 ptsLabor and staffing friction Moderate evidence confidence
9Mr. RooterPlumbingInvestment: $152,900–$298,675
68.0Tier 3 · Mixed modeled alignment
+0.3 ptsProperty replacement-cycle demand -2.5 ptsLabor and staffing friction Moderate evidence confidence
10Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708
67.8Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand -2.9 ptsLabor and staffing friction Moderate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in San Jose, California

01

Large resident, household, retail, and service-economy demand base

This relationship affected 10 concepts and added 0.9 points on average among those exposed. Local evidence: Household and population-density measures: households: 328,550; persons per household: 2.97; population per square mile 2020: 5,684.1 mixed household and density measures. [5]

02

High skilled-trade and maintenance wages raise technician recruiting pressure

This relationship affected 10 concepts and reduced 1.6 points on average among those exposed. Local evidence: Mean hourly wages and employment shares for construction and maintenance occupations: construction extraction usd per hour: 45.42; construction extraction employment share percent: 3.4; installation maintenance repair usd per hour: 39.42; installation maintenance repair employment share percent: 2.2 mixed wage and employment share. [8]

03

San José has a city building-performance ordinance with 2026 benchmarking and Beyond Benchmarking obligations

The ordinance is not a general citywide operating penalty or demand guarantee. It applies to covered buildings at or above 20,000 square feet and can require benchmarking, performance demonstration, audit, retrocommissioning, or upgrades according to the building and cohort. The same threshold can create compliance burden for a franchise occupying a covered facility and qualified service demand for energy-retrofit, HVAC, or electrical providers serving covered owners. [10] [11]

Evidence behind the city mechanisms

Large resident, household, retail, and service-economy demand base1 modeled effect
Local business demandTarget-market demand
Building Performance Ordinance creates size- and cohort-gated compliance work2 local facts · 2 modeled effects · 2 sources
  • Building Performance Ordinance benchmarking threshold and 2026 reporting cycle: minimum covered building size sqft: 20,000; reporting deadline: 2026-05-01; reporting data year: 2,025 threshold and date [10]
  • Beyond Benchmarking compliance pathways for assigned covered buildings: demonstrate satisfactory performance, energy or water audit, retrocommissioning, targeted efficiency upgrades compliance pathways [11]
Facility compliance burdenRegulatory and operating friction
Energy-retrofit service demandProperty replacement-cycle demand
High statutory and market wages create frontline staffing pressure1 modeled effect
Frontline labor pressureLabor and staffing friction
High skilled-trade and maintenance wages raise technician recruiting pressure1 modeled effect
Skilled-trade labor competitionLabor and staffing friction
Large public-university presence and municipal procurement create institutional account opportunities with location and sales-cycle gates3 local facts · 3 modeled effects · 3 sources
  • San JosĂ© State University fall 2025 enrollment: enrollment approximate: 40,000; year over year change percent: 8 students and percent [19]
  • City procurement portal publishes opportunities for services, supplies, equipment, technology, construction, and consulting: public opportunity categories: services, supplies, equipment, technology, construction, consulting [24]
  • SJSU academic calendar includes fall, spring, and summer terms: academic year start: 2025-08-18; academic year end: 2026-05-22; summer term listed: yes calendar dates and status [20]
University and government account demandTarget-market demand
Campus-contained demand constraintTarget-market demand
Institutional professional relationship baseReferral ecosystem

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 +2.1 pts Target-market demandReduction -0.5 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.8 pts
    Primary modeled driverRelationship test: #1 → #2
  • University and government account demand Evidence+0.3 pts
+2.1 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.5 pts
-0.5 pts
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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+2.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemDepends on the specific site, territory, or operating condition
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 +2.1 pts
Tested rank range
#1–#3
#2Tier 3 · Mixed modeled alignment71.5

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

Increase +1.5 pts Target-market demandReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.5 pts
    Primary modeled driverRelationship test: #2 → #1
  • University and government account demand Evidence+0.1 pts
+1.5 pts
Labor and staffing friction
  • Frontline labor pressure Evidence-0.1 pts
-0.1 pts
Net local movement+1.47 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+1.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.1
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemDepends on the specific site, territory, or operating condition
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 score71.47
Published local-market alignment71.5

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
Target-market demand +1.5 pts
Tested rank range
#1–#4
#3Tier 3 · Mixed modeled alignment71.0

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

Increase +1.8 pts Target-market demandReduction -0.8 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.7 pts
    Primary modeled driverRelationship test: #3 → #4
  • University and government account demand Evidence+0.1 pts
+1.8 pts
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.8 pts
-0.8 pts
Net local movement+0.97 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+1.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.8
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemDepends on the specific site, territory, or operating condition
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 score70.97
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 +1.8 pts
Tested rank range
#3–#5
#4Tier 3 · Mixed modeled alignment69.8

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.1 pts Target-market demandReduction -0.5 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
  • Skilled-trade labor competition Evidence-0.5 pts
    Primary modeled driverRelationship test: #4 → #8
-0.5 pts
Target-market demand+0.1 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.1 pts
+0.1 pts
Net local movement-0.22 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+0.1
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score69.78
Published local-market alignment69.8

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
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 -0.5 pts
Tested rank range
#2–#9
#5Tier 3 · Mixed modeled alignment69.5

Tiger Adjusters

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

Initial investment: $43,050–$159,500

Increase +0.2 pts Target-market 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
Labor and staffing friction
  • Skilled-trade labor competition Evidence-0.5 pts
    Primary modeled driverRelationship test: #5 → #10
  • Frontline labor pressure Evidence-0.2 pts
-0.7 pts
Target-market demand+0.2 pts
Net local movement-0.48 pts

Net uses full-precision effects; displayed factor and driver rows are rounded.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+0.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.7
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score69.52
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
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.7 pts
Tested rank range
#4–#11
#6Tier 3 · Mixed modeled alignment69.4

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 +1.1 pts Target-market demandReduction -1.7 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.0 pts
    Primary modeled driverRelationship test: #6 → #7
  • Frontline labor pressure Evidence-0.7 pts
-1.7 pts
Target-market demand
  • Local business demand Evidence+1.0 pts
  • University and government account demand Evidence+0.1 pts
+1.1 pts
Net local movement-0.65 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+1.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.7
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score69.35
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
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.7 pts
Tested rank range
#5–#7
#7Tier 3 · Mixed modeled alignment69.3

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

Increase +1.8 pts Target-market demandReduction -2.5 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
  • Frontline labor pressure Evidence-2.5 pts
    Primary modeled driverRelationship test: #7 → #2
-2.5 pts
Target-market demand
  • Local business demand Evidence+1.6 pts
  • University and government account demand Evidence+0.2 pts
+1.8 pts
Net local movement-0.72 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+1.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-2.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score69.28
Published local-market alignment69.3

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
Labor and staffing friction -2.5 pts
Tested rank range
#2–#14
#8Tier 3 · Mixed modeled alignment68.2

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.4 pts Target-market demandReduction -2.4 pts Labor and staffing friction

Rank sensitivity: Stable

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-2.4 pts
    Primary modeled driverRelationship test: #8 → #4
-2.4 pts
Target-market demand+0.4 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.3 pts
+0.3 pts
Net local movement-1.80 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+0.4
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing friction-2.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score68.20
Published local-market alignment68.2

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
Labor and staffing friction -2.4 pts
Tested rank range
#7–#8
#9Tier 3 · Mixed modeled alignment68.0

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.3 pts Property replacement-cycle demandReduction -2.5 pts Labor and staffing friction

Rank sensitivity: Stable

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-2.5 pts
    Primary modeled driverRelationship test: #9 → #5
-2.5 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.3 pts
+0.3 pts
Target-market demand+0.3 pts
Net local movement-1.98 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
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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+0.3
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing friction-2.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score68.02
Published local-market alignment68.0

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
Labor and staffing friction -2.5 pts
Tested rank range
#8–#9
#10Tier 3 · Mixed modeled alignment67.8

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 +0.4 pts Property replacement-cycle demandReduction -2.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-2.6 pts
    Primary modeled driverRelationship test: #10 → #6
  • Frontline labor pressure Evidence-0.2 pts
-2.9 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.4 pts
+0.4 pts
Target-market demand+0.3 pts
Net local movement-2.21 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+0.3
Property replacement-cycle demand+0.4
Competitive environmentNot included in the score
Labor and staffing friction-2.9
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score67.79
Published local-market alignment67.8

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
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 -2.9 pts
Tested rank range
#6–#13
#11Tier 3 · Mixed modeled alignment67.6

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.1 pts Property replacement-cycle demandReduction -2.4 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Skilled-trade labor competition Evidence-1.2 pts
    Primary modeled driverRelationship test: #11 → #12
  • Frontline labor pressure Evidence-1.2 pts
-2.4 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.1 pts
+0.1 pts
Net local movement-2.36 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing friction-2.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score67.64
Published local-market alignment67.6

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 -2.4 pts
Tested rank range
#10–#13
#12Tier 3 · Mixed modeled alignment67.6

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.1 pts Property replacement-cycle demandReduction -2.6 pts Labor and staffing friction

Rank sensitivity: Stable

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-1.4 pts
    Primary modeled driverRelationship test: #12 → #8
  • Skilled-trade labor competition Evidence-1.2 pts
-2.6 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.1 pts
+0.1 pts
Net local movement-2.44 pts

Net uses full-precision effects; displayed factor and driver rows are rounded.

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demandEffect below the publication threshold
Property replacement-cycle demand+0.1
Competitive environmentNot included in the score
Labor and staffing friction-2.6
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score67.56
Published local-market alignment67.6

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 -2.6 pts
Tested rank range
#11–#12
#13Tier 3 · Mixed modeled alignment67.5

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.2 pts Property replacement-cycle demandReduction -2.7 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
Labor and staffing friction
  • Skilled-trade labor competition Evidence-2.7 pts
    Primary modeled driverRelationship test: #13 → #9
-2.7 pts
Property replacement-cycle demand
  • Housing-system replacement demand Evidence+0.2 pts
+0.2 pts
Net local movement-2.45 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing friction-2.7
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score67.55
Published local-market alignment67.5

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 -2.7 pts
Tested rank range
#10–#14
#14Tier 3 · Mixed modeled alignment67.4

Workout Anytime

Fitness · fixed-location membership fitness

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

No material positive local adjustment identifiedReduction -1.4 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Labor and staffing friction
  • Frontline labor pressure Evidence-1.4 pts
    Primary modeled driverRelationship test: #14 → #10
-1.4 pts
Target-market demand
  • Discretionary-spending pressure Evidence-1.2 pts
-1.2 pts
Net local movement-2.61 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 mistaken for a score-changing effect.

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 friction-1.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
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 score67.39
Published local-market alignment67.4

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
Labor and staffing friction -1.4 pts
Tested rank range
#6–#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 mistaken for a score-changing effect.

Neutral model baseline70.0
Target-market demand+2.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionNot included in the score
Referral ecosystemDepends on the specific site, territory, or operating condition
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 effectPositive local support

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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Workout Anytime moved from #14 to #6, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14
Average among affected+0.8 pts
Average across all concepts+0.6 pts
Concepts changing rank11

What we observed

  • Resident Population Estimate On July 1, 2025989,814 people
  • Household And Population Density Measureshouseholds: 328,550; persons per household: 2.97; population per square mile 2020: 5,684.1 mixed household and density measures
  • Median Household Income And Housing Cost Indicatorsmedian household income usd: 146,427; median owner cost with mortgage usd minimum: 4,000; median gross rent usd: 2,669

Concepts helped most

City WideFacility management
+2.1 pts
Jan-Pro InternationalCommercial cleaning
+1.8 pts
FASTSIGNSSigns and graphics
+1.8 pts
ActionCOACHBusiness coaching
+1.5 pts
HomeSmilesProperty maintenance services
+1.1 pts

Concepts challenged most

Workout AnytimeFitness
-1.2 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • 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 WideModerately sensitive · tested #1–#3
#2 ActionCOACHModerately sensitive · tested #1–#4
#3 FASTSIGNSModerately sensitive · tested #3–#5
#4 Pillar To Post Home InspectorsHighly sensitive · tested #2–#9
#5 Tiger AdjustersHighly sensitive · tested #4–#11
#6 HomeSmilesModerately sensitive · tested #5–#7
#7 Jan-Pro InternationalHighly sensitive · tested #2–#14
#8 ZOOM DRAINStable · tested #7–#8
#9 Mr. RooterStable · tested #8–#9
#10 Aire ServHighly sensitive · tested #6–#13
#11 PuroCleanModerately sensitive · tested #10–#13
#12 Rainbow International RestorationStable · tested #11–#12
#13 Mister Sparky ElectricHighly sensitive · tested #10–#14
#14 Workout AnytimeHighly sensitive · tested #6–#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.+3.0+1.50.0-1.5-3.0
Target-market demand
#1 City Wide · Target-market demand · +2.1 pts1#2 ActionCOACH · Target-market demand · +1.5 pts2#3 FASTSIGNS · Target-market demand · +1.8 pts3#4 Pillar To Post Home Inspectors · Target-market demand · +0.1 pts4#5 Tiger Adjusters · Target-market demand · +0.2 pts5#6 HomeSmiles · Target-market demand · +1.1 pts6#7 Jan-Pro International · Target-market demand · +1.8 pts7#8 ZOOM DRAIN · Target-market demand · +0.4 pts8#9 Mr. Rooter · Target-market demand · +0.3 pts9#10 Aire Serv · Target-market demand · +0.3 pts10#14 Workout Anytime · Target-market demand · -1.2 pts14
Property replacement-cycle demand
#4 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.1 pts4#8 ZOOM DRAIN · Property replacement-cycle demand · +0.3 pts8#9 Mr. Rooter · Property replacement-cycle demand · +0.3 pts9#10 Aire Serv · Property replacement-cycle demand · +0.4 pts10#11 PuroClean · Property replacement-cycle demand · +0.1 pts11#12 Rainbow International Restoration · Property replacement-cycle demand · +0.1 pts12#13 Mister Sparky Electric · Property replacement-cycle demand · +0.2 pts13
Labor and staffing friction
#1 City Wide · Labor and staffing friction · -0.5 pts1#2 ActionCOACH · Labor and staffing friction · -0.1 pts2#3 FASTSIGNS · Labor and staffing friction · -0.8 pts3#4 Pillar To Post Home Inspectors · Labor and staffing friction · -0.5 pts4#5 Tiger Adjusters · Labor and staffing friction · -0.7 pts5#6 HomeSmiles · Labor and staffing friction · -1.7 pts6#7 Jan-Pro International · Labor and staffing friction · -2.5 pts7#8 ZOOM DRAIN · Labor and staffing friction · -2.4 pts8#9 Mr. Rooter · Labor and staffing friction · -2.5 pts9#10 Aire Serv · Labor and staffing friction · -2.9 pts10#11 PuroClean · Labor and staffing friction · -2.4 pts11#12 Rainbow International Restoration · Labor and staffing friction · -2.6 pts12#13 Mister Sparky Electric · Labor and staffing friction · -2.7 pts13#14 Workout Anytime · Labor and staffing friction · -1.4 pts14
Primary source records by factorTarget-market demand: [5] [7] [17] [19] [20] [24] [2] [3]Property replacement-cycle demand: [6] [5] [7] [10] [11] [15] [16] [2]Competitive environment: [5] [24] [2] [4]Labor and staffing friction: [8] [9] [2] [3]Transportation, routing, and parking: [5] [12] [13] [14] [4]Real estate and site feasibility: [17] [18] [10] [12] [13] [15] [16] [21] [22] [2]Sales and customer acquisition: [5] [19] [24] [2]Referral ecosystem: [19] [24] [5] [4]Territory quality: [17] [18] [13] [15] [16] [22] [6] [4]Regulatory and operating friction: [10] [11] [21] [22] [15] [16] [23] [9] [3] [4]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing friction
#1 City Wide+2.1 pts—-0.5 pts
#2 ActionCOACH+1.5 pts—-0.1 pts
#3 FASTSIGNS+1.8 pts—-0.8 pts
#4 Pillar To Post Home Inspectors+0.1 pts+0.1 pts-0.5 pts
#5 Tiger Adjusters+0.2 pts—-0.7 pts
#6 HomeSmiles+1.1 pts—-1.7 pts
#7 Jan-Pro International+1.8 pts—-2.5 pts
#8 ZOOM DRAIN+0.4 pts+0.3 pts-2.4 pts
#9 Mr. Rooter+0.3 pts+0.3 pts-2.5 pts
#10 Aire Serv+0.3 pts+0.4 pts-2.9 pts
#11 PuroClean—+0.1 pts-2.4 pts
#12 Rainbow International Restoration—+0.1 pts-2.6 pts
#13 Mister Sparky Electric—+0.2 pts-2.7 pts
#14 Workout Anytime-1.2 pts—-1.4 pts

Interpretation

How to interpret the result

City Wide, ActionCOACH, FASTSIGNS 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 Pillar To Post Home Inspectors, Tiger Adjusters, Jan-Pro International; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in San Jose, California

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 San Jose, California

67.6

2 Restoration concepts qualified for comparison, with scores ranging from 67.6 to 67.6. PuroClean ranked highest at 67.6. Property replacement-cycle demand added 0.1 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2.5 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
67.6–67.6
Category average
67.6
PuroClean67.6
Rainbow International Restoration67.6

Metric registry

The 25 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, 2025989,814peopleJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaUsed in scoring [5]
Population change from the April 2020 estimate base to July 2025-2.3percentJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaContext only [5]
Household and population-density measureshouseholds: 328,550; persons per household: 2.97; population per square mile 2020: 5,684.1mixed household and density measuresJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaUsed in scoring [5]
Median household income and housing-cost indicatorsmedian household income usd: 146,427; median owner cost with mortgage usd minimum: 4,000; median gross rent usd: 2,669usdJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaUsed in scoring [5]
Owner-occupied housing-unit rate55.8percentJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaUsed in scoring [5]
Selected city business sales and receipts in 2022retail sales usd thousands: 22,077,409; retail sales per capita usd: 22,711; accommodation food sales usd thousands: 3,377,116; healthcare social assistance receipts usd thousands: 7,237,932; transportation warehousing receipts usd thousands: 2,176,603usd and usd thousandsJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaUsed in scoring [5]
Mean travel time to work27.3minutesJuly 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measuresSan Jose, CaliforniaContext only [5]
Regional Housing Needs Allocation in the 2023-2031 Housing Elementbase allocation units: 62,200; additional reallocated units: 3,095housing units2023-2031 planning period; certified Housing Element as of January 29, 2024San Jose, CaliforniaContext only [7]
City transformation during the 1960s and 1970s from an agricultural landscape to a major urban and technology centerprimary transition decades: 1960s, 1970shistorical periodGeneral Plan text updated August 29, 2025San Jose, CaliforniaUsed in scoring [6]
Mean hourly wages for major frontline occupational groupsfood preparation and serving usd per hour: 23.52; building and grounds cleaning maintenance usd per hour: 25.28; office and administrative support usd per hour: 34.22; transportation and material moving usd per hour: 27.5usd per hourMay 2025San Jose-Sunnyvale-Santa Clara, CaliforniaUsed in scoring [8]
Mean hourly wages and employment shares for construction and maintenance occupationsconstruction extraction usd per hour: 45.42; construction extraction employment share percent: 3.4; installation maintenance repair usd per hour: 39.42; installation maintenance repair employment share percent: 2.2mixed wage and employment shareMay 2025San Jose-Sunnyvale-Santa Clara, CaliforniaUsed in scoring [8]
San José minimum wage effective January 1, 202618.45usd per hourRate effective January 1, 2026San Jose, CaliforniaUsed in scoring [9]
San Jose office-submarket conditions in Q2 2026inventory sqft: 43,770,161; direct vacancy percent: 17.5; total vacancy percent: 19.3; availability percent: 20.3; quarterly net absorption sqft: -264,371; year to date net absorption sqft: -155,105; average asking rent usd per sqft per month fsg: 4.02mixed cre measuresSecond quarter 2026San Jose office submarketConditional relationship [17]
San Jose industrial-submarket conditions in Q2 2026inventory sqft: 26,895,586; direct vacancy percent: 9.6; total vacancy percent: 10.3; quarterly net absorption sqft: 9,263; year to date leasing activity sqft: 1,303,856; average asking rent usd per sqft per month nnn: 1.74mixed cre measuresSecond quarter 2026San Jose industrial submarketConditional relationship [18]
Building Performance Ordinance benchmarking threshold and 2026 reporting cycleminimum covered building size sqft: 20,000; reporting deadline: 2026-05-01; reporting data year: 2,025threshold and date2026 reporting cycle using 2025 building dataCovered commercial and multifamily buildings in San JoséSupports modeled relationship [10]
Beyond Benchmarking compliance pathways for assigned covered buildingsdemonstrate satisfactory performance, energy or water audit, retrocommissioning, targeted efficiency upgradescompliance pathwaysCurrent five-year compliance cohort framework accessed August 2026San José buildings assigned to Beyond Benchmarking cohortsSupports modeled relationship [11]
Public-street vehicle parking limit without movement72hoursCurrent municipal parking rules accessed August 2026San Jose, CaliforniaConditional relationship [12]
Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicleszone specific: yes; personal service vehicle may require guest permit: yes; on duty emergency or e plated vehicle exemptions exist: yesprogram conditionsCurrent active-zone framework accessed August 2026Active residential permit-parking zones in San JoséConditional relationship [13] [14]
San José State University fall 2025 enrollmentenrollment approximate: 40,000; year over year change percent: 8students and percentFall 2025 enrollmentSan José State UniversitySupports modeled relationship [19]
SJSU academic calendar includes fall, spring, and summer termsacademic year start: 2025-08-18; academic year end: 2026-05-22; summer term listed: yescalendar dates and statusAcademic year 2025-2026 and listed summer termSan José State UniversitySupports modeled relationship [20]
City procurement portal publishes opportunities for services, supplies, equipment, technology, construction, and consultingpublic opportunity categories: services, supplies, equipment, technology, construction, consultingopportunity categoriesCurrent procurement links accessed August 2026City of San JoséSupports modeled relationship [24]
Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measuresmapped zone gate: yes; possible requirements: elevation, floodproofing, documentationreview conditionsCurrent FEMA and city review framework accessed August 2026San José properties in FEMA Special Flood Hazard AreasConditional relationship [15] [23]
Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projectsmapped zone gate: yes; review types: geologic hazard clearance, geologic clearancereview conditionsCurrent review framework accessed August 2026San José development sites in covered hazard zonesConditional relationship [16] [23]
Private-property signage is regulated under Title 23 and is subject to permit, zoning, and design requirementspermit framework: yes; site and sign type specific: yesregulatory conditionsCurrent sign-code framework accessed August 2026San Jose, CaliforniaConditional relationship [21]
Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit reviewdesignation gate: yes; exterior change review: yesregulatory conditionsCurrent ordinance framework and 2025 update process accessed August 2026San José landmarks and historic-district propertiesConditional relationship [22] [23]

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 whose applicability is established at the report’s current geographic and operating scope.

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 +2.1 pts and labor and staffing friction -0.5 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 claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.

  1. 1
    Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
    Publisher
    Internal model file
    Data period
    Model version 0.9.0-calibration
    Scope
    Model-wide
    Locator
    factors, operating_attribute_taxonomy, city_modifier_taxonomy, confidence and provenance controls
    Source tier
    Tier 0 · controlling internal taxonomy
    Accessed
    August 4, 2026
  2. 2
    United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Undated supplied synthesis reviewed August 4, 2026
    Scope
    San Jose section within a multi-city research docket
    Locator
    San Jose, California section, physical property, housing stock, labor, commuter, and commercial-space hypotheses
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 4, 2026
  3. 3
    Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Undated supplied synthesis reviewed August 4, 2026
    Scope
    San Jose section within a multi-city municipal docket
    Locator
    San Jose, California section, subsections A-F
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 4, 2026
  4. 4
    Franchise neighborhood operating notesInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Undated supplied neighborhood notes reviewed August 4, 2026
    Scope
    Japantown, Blossom Valley, Evergreen, Cambrian Park, Almaden Valley, and Rose Garden in San Jose
    Locator
    Six records where %city% equals San Jose
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 4, 2026
  5. 5
    QuickFacts: San Jose city, California

    Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Household and population-density measures, Median household income and housing-cost indicators, and Owner-occupied housing-unit rate

    Publisher
    U.S. Census Bureau
    Data period
    July 1, 2025 population estimate; 2020-2024 demographic, housing, income, and commuting measures; 2022 economic measures
    Scope
    San Jose city, California
    Locator
    Population, households, housing, income, commuting, sales, receipts, density, and labor-force rows
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  6. 6
    Envision San José 2040 General Plan

    Used for: City transformation during the 1960s and 1970s from an agricultural landscape to a major urban and technology center

    Publisher
    City of San José
    Published
    August 29, 2025
    Data period
    General Plan text updated August 29, 2025
    Scope
    City of San José
    Locator
    City development history, land-use framework, neighborhood business districts, and transportation framework
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  7. 7
    2023-2031 Housing Element Update

    Used for: Regional Housing Needs Allocation in the 2023-2031 Housing Element

    Publisher
    City of San José Planning Division
    Data period
    2023-2031 planning period; certified Housing Element as of January 29, 2024
    Scope
    City of San José
    Locator
    Regional Housing Needs Allocation and housing-site planning description
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  8. 8
    Occupational Employment and Wages in San Jose-Sunnyvale-Santa Clara — May 2025

    Used for: Mean hourly wages for major frontline occupational groups and Mean hourly wages and employment shares for construction and maintenance occupations

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 9, 2026
    Data period
    May 2025
    Scope
    San Jose-Sunnyvale-Santa Clara metropolitan statistical area
    Locator
    Major occupational group employment shares and mean hourly wages
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  9. 9
    Minimum Wage Ordinance

    Used for: San José minimum wage effective January 1, 2026

    Publisher
    City of San José
    Data period
    Rate effective January 1, 2026
    Scope
    Employees working within San José subject to the ordinance
    Locator
    2026 minimum wage rate and coverage guidance
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  10. 10
    Energy and Water Building Performance Ordinance

    Used for: Building Performance Ordinance benchmarking threshold and 2026 reporting cycle

    Publisher
    City of San José
    Data period
    2026 reporting cycle using 2025 building data
    Scope
    Covered commercial and multifamily buildings in San José at or above 20,000 square feet, subject to exemptions and program rules
    Locator
    Covered-building threshold, May 1 reporting deadline, and 2026 compliance notices
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  11. 11
    Beyond Benchmarking Requirements

    Used for: Beyond Benchmarking compliance pathways for assigned covered buildings

    Publisher
    City of San José
    Data period
    Current five-year compliance cohort framework accessed August 2026
    Scope
    Covered San José buildings assigned to Beyond Benchmarking cohorts
    Locator
    Performance pathways, audit, retrocommissioning, and targeted-upgrade requirements
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  12. 12
    Parking Regulations

    Used for: Public-street vehicle parking limit without movement

    Publisher
    City of San José Department of Transportation
    Data period
    Current municipal parking rules accessed August 2026
    Scope
    Public streets and posted parking-control areas in San José
    Locator
    72-hour rule and posted business-district parking limitations
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  13. 13
    Residential Permit Parking

    Used for: Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicles

    Publisher
    City of San José Department of Transportation
    Data period
    Current active-zone framework accessed August 2026
    Scope
    Named residential permit-parking zones in San José
    Locator
    Active zones, permit rules, fees, and enforcement framework
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  14. 14
    Residential Permit Parking Frequently Asked Questions

    Used for: Residential permit-parking zones require zone-specific permits or guest authorization for many service-provider vehicles

    Publisher
    City of San José Department of Transportation
    Data period
    Current program guidance accessed August 2026
    Scope
    San José residential permit-parking zones
    Locator
    Service-provider, guest-permit, and exempt-vehicle guidance
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  15. 15
    Flood Hazard Zone

    Used for: Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measures

    Publisher
    City of San José Public Works
    Data period
    Current FEMA and city review framework accessed August 2026
    Scope
    Projects and properties in mapped Special Flood Hazard Areas within San José
    Locator
    FEMA zone review, elevation, and floodproofing requirements
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  16. 16
    Geological Hazard Review

    Used for: Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projects

    Publisher
    City of San José Public Works
    Data period
    Current review framework accessed August 2026
    Scope
    Development sites in mapped city geologic-hazard, state landslide, or liquefaction zones
    Locator
    Geologic Hazard Clearance and Geologic Clearance triggers
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  17. 17
    Silicon Valley Office Market Report — Q2 2026

    Used for: San Jose office-submarket conditions in Q2 2026

    Publisher
    Kidder Mathews
    Data period
    Second quarter 2026
    Scope
    Silicon Valley with a San Jose office submarket table
    Locator
    San Jose inventory, vacancy, availability, absorption, and asking-rent rows
    Source tier
    Tier 3 · credible industry
    Accessed
    August 4, 2026
  18. 18
    Silicon Valley Industrial Market Report — Q2 2026

    Used for: San Jose industrial-submarket conditions in Q2 2026

    Publisher
    Kidder Mathews
    Data period
    Second quarter 2026
    Scope
    Silicon Valley with a San Jose industrial submarket table
    Locator
    San Jose inventory, vacancy, availability, leasing, absorption, and asking-rent rows
    Source tier
    Tier 3 · credible industry
    Accessed
    August 4, 2026
  19. 19
    A Record-Breaking Year for Enrollment: Nearly 40,000 Spartans Call SJSU Home

    Used for: San José State University fall 2025 enrollment

    Publisher
    San José State University
    Published
    August 25, 2025
    Data period
    Fall 2025 enrollment
    Scope
    San José State University
    Locator
    Fall 2025 enrollment total and year-over-year change
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 4, 2026
  20. 20
    Academic Year 2025-2026 Calendar

    Used for: SJSU academic calendar includes fall, spring, and summer terms

    Publisher
    San José State University
    Data period
    Academic year 2025-2026 and listed summer term
    Scope
    San José State University academic operations
    Locator
    Fall, spring, and summer-term dates
    Source tier
    Tier 2 · recognized institution
    Accessed
    August 4, 2026
  21. 21
    Sign Code — Title 23

    Used for: Private-property signage is regulated under Title 23 and is subject to permit, zoning, and design requirements

    Publisher
    City of San José Planning Division
    Data period
    Current sign-code framework accessed August 2026
    Scope
    Signs on private property in San José, subject to code, zoning, and permit requirements
    Locator
    Purpose, permit framework, and relationship to site architecture and land use
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  22. 22
    Historic Preservation Ordinance Update

    Used for: Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit review

    Publisher
    City of San José Planning Division
    Data period
    Current ordinance framework and 2025 update process accessed August 2026
    Scope
    Designated landmarks, historic districts, and other covered historic resources in San José
    Locator
    Historic Preservation Permit triggers for exterior changes
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  23. 23
    Design Considerations Before Starting a Development Project

    Used for: Projects in mapped Special Flood Hazard Areas require flood-zone review and may require elevation or floodproofing measures, Mapped geologic, landslide, and liquefaction zones can trigger geologic clearance for development projects, and Exterior changes to designated landmarks and historic-district properties can require Historic Preservation Permit review

    Publisher
    City of San José
    Published
    December 22, 2025
    Data period
    Current project-screening guidance accessed August 2026
    Scope
    Development projects in San José
    Locator
    Flood, geologic, historic, zoning, and site-specific review considerations
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026
  24. 24
    City of San José Bid Opportunities

    Used for: City procurement portal publishes opportunities for services, supplies, equipment, technology, construction, and consulting

    Publisher
    City of San José
    Data period
    Current procurement links accessed August 2026
    Scope
    City of San José procurement opportunities
    Locator
    Browse bid opportunities for services, supplies, equipment, technology, construction, and consulting
    Source tier
    Tier 1 · government
    Accessed
    August 4, 2026

Before contacting a franchisor

Complete the next layer of due diligence

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

Apply the analysis to your situation

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

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

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