Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in San Juan, Puerto Rico

We compared 14 franchise concepts for San Juan, Puerto Rico. Local business demand was a leading positive mechanism. Discretionary-spending pressure 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
21Sources used
15Primary sources
35Local metrics

Evaluation set

Why these concepts were evaluated

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

14Concepts assessed

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

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

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

70.8 average across 2 concepts

Largest positive factorTarget-market demand

0.9 points average among 11 affected concepts

Most assumption-sensitive rankPuroClean

Tested rank range spans 11 positions

Executive conclusion

What the ranking means for San Juan, Puerto Rico

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 1.1 points on average. Discretionary-spending pressure was the broadest operating constraint, reducing exposed concepts by 0.3 points on average. City Wide was especially relationship-sensitive: removing local business demand moved it from #1 to #3 in the full model rerun. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.

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

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

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

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility managementInvestment: $229,729–$410,730
73.1Tier 2 · Favorable modeled alignment
+2.3 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
2ActionCOACHBusiness coachingInvestment: $71,668–$303,513
72.5Tier 2 · Favorable modeled alignment
+1.8 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
3FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285
72.4Tier 2 · Favorable modeled alignment
+2.0 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
4Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500
72.2Tier 2 · Favorable modeled alignment
+2.0 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
5HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800
71.8Tier 3 · Mixed modeled alignment
+1.2 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
6ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500
71.2Tier 3 · Mixed modeled alignment
+0.5 ptsReferral ecosystem No material negative local adjustmentModerate evidence confidence
7PuroCleanRestorationInvestment: $54,575–$262,145
70.8Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystem No material negative local adjustmentModerate evidence confidence
8Rainbow International RestorationRestorationInvestment: $185,336–$351,900
70.8Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystem No material negative local adjustmentModerate evidence confidence
9Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708
70.7Tier 3 · Mixed modeled alignment
+0.3 ptsTarget-market demand No material negative local adjustmentModerate evidence confidence
10Mr. RooterPlumbingInvestment: $152,900–$298,675
70.7Tier 3 · Mixed modeled alignment
+0.4 ptsProperty replacement-cycle demand No material negative local adjustmentModerate evidence confidence

View all 14 score calculations

Conditions that changed the analysis

What mattered most in San Juan, Puerto Rico

01

Dense resident, employment, and establishment base supports local business and recurring commercial demand

This relationship affected 10 concepts and added 1.1 points on average among those exposed. Local evidence: Covered employment in December 2025: 259,210 jobs. [6]

02

Low household income, high poverty, and rental scarcity constrain portions of discretionary consumer demand

This relationship affected 2 concepts and reduced 0.3 points on average among those exposed. Local evidence: Median household income in 2024: 30,447 usd per year. [4]

03

Old San Juan cruise activity recorded 1,360,937 passengers during the November 2025-April 2026 high season

Cruise volume is concentrated around Old San Juan and varies by season, port operation, daypart, and visitor itinerary. It should not be converted into municipio-wide walk-in demand. Fixed-location concepts in or near the historic district must also resolve historic-design controls, pedestrian and vehicle access, loading, and the share of passengers who leave the port environment. [10] [17] [15] [9]

Evidence behind the city mechanisms

Dense resident, employment, and establishment base supports local business and recurring commercial demand1 modeled effect
Local business demandTarget-market demand
Low household income, high poverty, and rental scarcity constrain portions of discretionary consumer demand1 modeled effect
Discretionary-spending pressureTarget-market demand
Large existing concrete building stock and recurring coastal, flood, and storm exposure support repair and replacement demand1 modeled effect
Replacement and repair demandProperty replacement-cycle demand
Finance, healthcare, professional-service, and property-management activity supports professional referral development1 modeled effect
Professional and institutional relationship densityReferral 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 2 · Favorable modeled alignment73.1

City Wide

Facility management · B2B facility management and vendor coordination

Initial investment: $229,729–$410,730

Increase +2.3 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+2.3 pts
    Primary modeled driverRelationship test: #1 → #3
+2.3 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.8 pts
+0.8 pts
Net local movement+3.07 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+2.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.8
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 score73.07
Published local-market alignment73.1

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +2.3 pts
Tested rank range
#1–#3
#2Tier 2 · Favorable modeled alignment72.5

ActionCOACH

Business coaching · home-based B2B advisory

Initial investment: $71,668–$303,513

Increase +1.8 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+1.8 pts
    Primary modeled driverRelationship test: #2 → #5
+1.8 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.7 pts
+0.7 pts
Net local movement+2.49 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+1.8
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.7
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 score72.49
Published local-market alignment72.5

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.8 pts
Tested rank range
#2–#5
#3Tier 2 · Favorable modeled alignment72.4

FASTSIGNS

Signs and graphics · B2B production and installation center

Initial investment: $231,226–$386,285

Increase +2.0 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+2.0 pts
    Primary modeled driverRelationship test: #3 → #8
+2.0 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.4 pts
+0.4 pts
Net local movement+2.40 pts

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

Franchise evidence

Source material assessed

Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
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+2.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.4
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 score72.40
Published local-market alignment72.4

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +2.0 pts
Tested rank range
#2–#8
#4Tier 2 · Favorable modeled alignment72.2

Jan-Pro International

Commercial cleaning · recurring commercial route service

Initial investment: $130,000–$421,500

Increase +2.0 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+2.0 pts
    Primary modeled driverRelationship test: #4 → #11
+2.0 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.2 pts
+0.2 pts
Net local movement+2.17 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+2.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.2
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 score72.17
Published local-market alignment72.2

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +2.0 pts
Tested rank range
#3–#11
#5Tier 3 · Mixed modeled alignment71.8

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 +1.2 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Stable

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+1.2 pts
    Primary modeled driverRelationship test: #5 → #6
+1.2 pts
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.6 pts
+0.6 pts
Net local movement+1.83 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 frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
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 score71.83
Published local-market alignment71.8

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.2 pts
Tested rank range
#5–#6
#6Tier 3 · Mixed modeled alignment71.2

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Initial investment: $266,250–$570,500

Increase +0.5 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.5 pts
    Primary modeled driverRelationship test: rank stays #6
+0.5 pts
Target-market demand+0.4 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.4 pts
+0.4 pts
Net local movement+1.25 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+0.4
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.5
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 score71.25
Published local-market alignment71.2

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.5 pts
Tested rank range
#4–#6
#7Tier 3 · Mixed modeled alignment70.8

PuroClean

Restoration · emergency property restoration

Initial investment: $54,575–$262,145

Increase +0.6 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.6 pts
    Primary modeled driverRelationship test: #7 → #12
+0.6 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Net local movement+0.83 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+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
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 score70.83
Published local-market alignment70.8

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.6 pts
Tested rank range
#1–#12
#8Tier 3 · Mixed modeled alignment70.8

Rainbow International Restoration

Restoration · emergency property restoration

Initial investment: $185,336–$351,900

Increase +0.6 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

Why it ranks here

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

Local factorModeled driversImpact
Referral ecosystem
  • Professional and institutional relationship density Evidence+0.6 pts
    Primary modeled driverRelationship test: #8 → #13
+0.6 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Net local movement+0.82 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+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.6
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 score70.82
Published local-market alignment70.8

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.6 pts
Tested rank range
#2–#13
#9Tier 3 · Mixed modeled alignment70.7

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 +0.3 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+0.3 pts
    Primary modeled driverRelationship test: rank stays #9
+0.3 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
+0.3 pts
Net local movement+0.68 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+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.68
Published local-market alignment70.7

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.3 pts
Tested rank range
#7–#9
#10Tier 3 · Mixed modeled alignment70.7

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Initial investment: $152,900–$298,675

Increase +0.4 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.4 pts
    Primary modeled driverRelationship test: rank stays #10
+0.4 pts
Target-market demand+0.3 pts
Net local movement+0.68 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+0.4
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.68
Published local-market alignment70.7

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.4 pts
Tested rank range
#7–#10
#11Tier 3 · Mixed modeled alignment70.3

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Initial investment: $102,690–$134,290

Increase +0.2 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+0.2 pts
    Primary modeled driverRelationship test: #11 → #12
+0.2 pts
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.2 pts
+0.2 pts
Net local movement+0.33 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+0.2
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.33
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.2 pts
Tested rank range
#9–#12
#12Tier 3 · Mixed modeled alignment70.3

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Property replacement-cycle demand
  • Replacement and repair demand Evidence+0.3 pts
    Primary modeled driverRelationship test: #12 → #13
+0.3 pts
Net local movement+0.30 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+0.3
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.30
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Property replacement-cycle demand +0.3 pts
Tested rank range
#10–#13
#13Tier 3 · Mixed modeled alignment70.3

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 +0.3 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Local business demand Evidence+0.3 pts
    Primary modeled driverRelationship test: rank stays #13
+0.3 pts
Net local movement+0.27 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+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystemNot included in the score
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.27
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +0.3 pts
Tested rank range
#11–#13
#14Tier 3 · Mixed modeled alignment69.4

Workout Anytime

Fitness · fixed-location membership fitness

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

No material positive local adjustment identifiedReduction -0.6 pts Target-market demand

Rank sensitivity: Stable

Why it ranks here

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

Local factorModeled driversImpact
Target-market demand
  • Discretionary-spending pressure Evidence-0.6 pts
    Primary modeled driverRelationship test: rank stays #14
-0.6 pts
Net local movement-0.57 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-0.6
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
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 score69.43
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
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Adequate
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand -0.6 pts
Tested rank range
#14–#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+2.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionMeasured; no meaningful local adjustment
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionNot included in the score
Referral ecosystem+0.8
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 score73.07
Published local-market alignment73.1

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, 10 concepts changed position. Jan-Pro International moved from #4 to #11, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14
Average among affected+0.9 pts
Average across all concepts+0.7 pts
Concepts changing rank10

What we observed

  • Population Density In 20246,942.6 people per square mile
  • Median Household Income In 202430,447 usd per year
  • Population Below The Poverty Threshold In 202434.6 percent of population

Concepts helped most

City WideFacility management
+2.3 pts
FASTSIGNSSigns and graphics
+2.0 pts
Jan-Pro InternationalCommercial cleaning
+2.0 pts
ActionCOACHBusiness coaching
+1.8 pts
HomeSmilesProperty maintenance services
+1.2 pts

Concepts challenged most

Workout AnytimeFitness
-0.6 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Labor and staffing frictionNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Territory qualityNo material score adjustment
  • Regulatory and operating frictionNo material score adjustment

Rank stability

Which positions depend most on individual assumptions?

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

#1 City WideModerately sensitive · tested #1–#3
#2 ActionCOACHModerately sensitive · tested #2–#5
#3 FASTSIGNSHighly sensitive · tested #2–#8
#4 Jan-Pro InternationalHighly sensitive · tested #3–#11
#5 HomeSmilesStable · tested #5–#6
#6 ZOOM DRAINModerately sensitive · tested #4–#6
#7 PuroCleanHighly sensitive · tested #1–#12
#8 Rainbow International RestorationHighly sensitive · tested #2–#13
#9 Aire ServModerately sensitive · tested #7–#9
#10 Mr. RooterModerately sensitive · tested #7–#10
#11 Pillar To Post Home InspectorsModerately sensitive · tested #9–#12
#12 Mister Sparky ElectricModerately sensitive · tested #10–#13
#13 Tiger AdjustersModerately sensitive · tested #11–#13
#14 Workout AnytimeStable · tested #14–#14

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

Original factor comparison

How each factor affected the highest-rated franchise concepts

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

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+2.5+1.30.0-1.3-2.5
Target-market demand
#1 City Wide · Target-market demand · +2.3 pts1#2 ActionCOACH · Target-market demand · +1.8 pts2#3 FASTSIGNS · Target-market demand · +2.0 pts3#4 Jan-Pro International · Target-market demand · +2.0 pts4#5 HomeSmiles · Target-market demand · +1.2 pts5#6 ZOOM DRAIN · Target-market demand · +0.4 pts6#9 Aire Serv · Target-market demand · +0.3 pts9#10 Mr. Rooter · Target-market demand · +0.3 pts10#11 Pillar To Post Home Inspectors · Target-market demand · +0.2 pts11#13 Tiger Adjusters · Target-market demand · +0.3 pts13#14 Workout Anytime · Target-market demand · -0.6 pts14
Property replacement-cycle demand
#6 ZOOM DRAIN · Property replacement-cycle demand · +0.4 pts6#7 PuroClean · Property replacement-cycle demand · +0.3 pts7#8 Rainbow International Restoration · Property replacement-cycle demand · +0.3 pts8#9 Aire Serv · Property replacement-cycle demand · +0.3 pts9#10 Mr. Rooter · Property replacement-cycle demand · +0.4 pts10#11 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.2 pts11#12 Mister Sparky Electric · Property replacement-cycle demand · +0.3 pts12
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.8 pts1#2 ActionCOACH · Referral ecosystem · +0.7 pts2#3 FASTSIGNS · Referral ecosystem · +0.4 pts3#4 Jan-Pro International · Referral ecosystem · +0.2 pts4#5 HomeSmiles · Referral ecosystem · +0.6 pts5#6 ZOOM DRAIN · Referral ecosystem · +0.5 pts6#7 PuroClean · Referral ecosystem · +0.6 pts7#8 Rainbow International Restoration · Referral ecosystem · +0.6 pts8
Primary source records by factorTarget-market demand: [4] [5] [6] [9] [10] [13] [12]Property replacement-cycle demand: [9] [4] [1] [20] [21] [17]Competitive environment: [5] [6] [9] [3]Labor and staffing friction: [6] [7] [8] [9] [2]Transportation, routing, and parking: [15] [9] [1] [3]Real estate and site feasibility: [11] [12] [9] [19] [16] [1]Sales and customer acquisition: [4] [6] [10] [12] [3]Referral ecosystem: [9] [6] [4] [5]Territory quality: [10] [12] [9] [17] [3] [15]Regulatory and operating friction: [14] [18] [19] [16] [17] [21] [2]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandReferral ecosystem
#1 City Wide+2.3 pts—+0.8 pts
#2 ActionCOACH+1.8 pts—+0.7 pts
#3 FASTSIGNS+2.0 pts—+0.4 pts
#4 Jan-Pro International+2.0 pts—+0.2 pts
#5 HomeSmiles+1.2 pts—+0.6 pts
#6 ZOOM DRAIN+0.4 pts+0.4 pts+0.5 pts
#7 PuroClean—+0.3 pts+0.6 pts
#8 Rainbow International Restoration—+0.3 pts+0.6 pts
#9 Aire Serv+0.3 pts+0.3 pts—
#10 Mr. Rooter+0.3 pts+0.4 pts—
#11 Pillar To Post Home Inspectors+0.2 pts+0.2 pts—
#12 Mister Sparky Electric—+0.3 pts—
#13 Tiger Adjusters+0.3 pts——
#14 Workout Anytime-0.6 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 competitive environment. 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 FASTSIGNS, Jan-Pro International, PuroClean; their ranks move more widely when individual factors are neutralized.

Category comparisons

Best franchise categories we assessed in San Juan, Puerto Rico

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 Juan, Puerto Rico

70.8

2 Restoration concepts qualified for comparison, with scores ranging from 70.8 to 70.8. PuroClean ranked highest at 70.8. Referral ecosystem added 0.6 points on average among the affected concepts.

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

Concepts compared
2
Score range
70.8–70.8
Category average
70.8
PuroClean70.8
Rainbow International Restoration70.8

Metric registry

The 35 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 in 2024332,454people2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoContext only [4]
Population change from the 2020 estimate base to 2024-2.9percent2023 County Business Patterns and 2022 economic measures where displayedSan Juan Municipio, Puerto RicoContext only [5]
Population density in 20246,942.6people per square mile2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoUsed in scoring [4]
Estimated households in 2024146,279households2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoContext only [4]
Estimated housing units in 2024202,066housing units2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoContext only [4]
Median household income in 202430,447usd per year2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoUsed in scoring [4]
Population below the poverty threshold in 202434.6percent of population2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoUsed in scoring [4]
Population age 25 and older with a bachelor's degree or higher40.3percent2024 Puerto Rico Community Survey 1-year estimatesSan Juan Municipio, Puerto RicoUsed in scoring [4]
Population age 65 and older in the 2019-2023 PRCS profileage 65 plus: 83,949; total population: 338,661people2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSan Juan Municipio, Puerto RicoContext only [9]
Covered establishments in fourth quarter 202512,250establishmentsFourth quarter and December 2025San Juan Municipio, Puerto RicoUsed in scoring [6]
Covered employment in December 2025259,210jobsFourth quarter and December 2025San Juan Municipio, Puerto RicoUsed in scoring [6]
Covered employment change from December 2024 to December 2025-2.1percentFourth quarter and December 2025San Juan Municipio, Puerto RicoContext only [6]
Average weekly wage in fourth quarter 2025889usd per weekFourth quarter and December 2025San Juan Municipio, Puerto RicoContext only [6]
Selected establishment and employment counts in the 2022 Economic Census tablefinance and insurance: establishments: 768, employment: 23,865; healthcare and social assistance: establishments: 1,583, employment: 19,965; professional scientific and technical services: establishments: 2,618, employment: 18,241; administrative support and waste management: establishments: 592, employment: 27,457; accommodation and food services: establishments: 1,178, employment: 20,862; construction: establishments: 448, employment: 7,765establishments and jobs2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSan Juan Municipio, Puerto RicoUsed in scoring [9]
Cruise passengers recorded during the November 2025-April 2026 high season1,360,937passengersNovember 2025 through April 2026Old San Juan cruise portConditional relationship [10]
Homeport cruise passengers during the November 2025-April 2026 high season371,536passengersNovember 2025 through April 2026San Juan homeport cruise operationsSupports research conclusion [10]
Housing stock and occupancy in the 2019-2023 PRCS profiletotal units: 193,011; occupied units: 147,795; vacant units: 45,216housing units2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSan Juan Municipio, Puerto RicoUsed in scoring [9]
Housing stock and occupancy in Santurcetotal units: 45,358; occupied units: 31,286; vacant units: 14,072housing units2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSanturce, San JuanConditional relationship [9]
Modeled structure counts by flood-risk categorynone: 71,556; slight: 4,415; moderate: 10,886; very strong: 30structures2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSan Juan Municipio, Puerto RicoUsed in scoring [9]
Municipal draft plan identifies storm-surge and coastal-flood exposure in Condado and Ocean ParkCondado, Ocean Parknamed submarkets2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingCondado and Ocean Park, San JuanUsed in scoring [9]
Preliminary unemployment rate in May 20264.5percentLabor-force data through May 2026 and nonfarm employment through June 2026, preliminarySan Juan-BayamĂłn-Caguas metropolitan areaContext only [8]
Preliminary total nonfarm employment in June 2026681,600jobsLabor-force data through May 2026 and nonfarm employment through June 2026, preliminarySan Juan-BayamĂłn-Caguas metropolitan areaContext only [8]
Mean hourly wages for selected franchise-relevant major occupation groupsall occupations: 17.98; building and grounds cleaning and maintenance: 11.73; food preparation and serving: 12.14; sales and related: 13.96; office and administrative support: 15.02; construction and extraction: 13.75; installation maintenance and repair: 15.25; transportation and material moving: 13.3usd per hourMay 2024San Juan-BayamĂłn-Caguas metropolitan areaContext only [7]
San Juan industrial vacancy and asking rents in the second half of 2025vacancy rate: 3.3; asking rent min: 9; asking rent max: 15.5; asking rent average: 12; predevelopment pipeline sqft: 2,250,000percent and usd per square foot per yearSecond half of 2025San Juan industrial marketConditional relationship [11]
San Juan Metro office vacancy in the first half of 202626.5percentFirst half of 2026San Juan metropolitan office marketConditional relationship [12]
Office landlords were reported to offer greater concessions and flexible termination structuresexpanded concessions and shorter effective commitmentsqualitative conditionFirst half of 2026San Juan metropolitan office marketContext only [12]
Affordable and available rental homes per 100 extremely low-income renter households65homes per 100 eli renter households2023 Puerto Rican Community SurveySan Juan metropolitan areaUsed in scoring [13]
Municipal patent rate schedule for nonfinancial businessesgross income 5000 01 to 12500: exempt; gross income 12500 01 to 100000: 25; gross income 100000 01 to 300000 rate percent: 0.2; gross income over 300000 rate percent: 0.5; financial business rate percent: 1.5usd and percent of attributable business volumeCode revision dated April 24, 2023Municipio AutĂłnomo de San JuanContext only [14] [2]
Historic resources in the Old San Juan historic districttotal resources: 917; contributing resources: 798; san juan historic site resources: 84resourcesHistoric-resource inventory through May 2024Old San Juan historic district and San Juan Historic SiteConditional relationship [17]
The approved long-range plan identifies the San Juan TMA as Puerto Rico's most complex highway and multimodal transportation system and its main freight and passenger gatewaymost complex highway and multimodal system main gatewayqualitative conditionApproved 2050 long-range plan accessed August 2026San Juan Transportation Management AreaConditional relationship [15]
Municipal LĂ­nea de San Juan bus service was operating ten routes10routes2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modelingSan Juan Municipio, Puerto RicoConditional relationship [9]
A new business in an existing location generally requires a Permiso Ăšnico and parcel-use verification; construction and remodeling require licensed professional processingexisting location new business: parcel use verification, applicable licenses, permiso unico; construction or remodeling: licensed architect or engineer, construction permitworkflow requirementsCurrent permit workflow accessed August 2026Puerto Rico, including San Juan subject to applicable authorityConditional relationship [19] [18]
Puerto Rico planning programs include designated historic zones, tourism-interest zones, and a coastal-zone management frameworkhistoric zones, tourism interest zones, coastal zone managementprogramsCurrent program framework accessed August 2026Puerto Rico, with mapped applicability in San JuanConditional relationship [16]
High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environmentstemperature and humidity accelerate corrosionqualitative engineering mechanismCoastal infrastructure deterioration modeling through 2100United States coastal counties; applied only as mechanism corroboration for San JuanUsed in scoring [20] [1]
The Puerto Rico Construction Code 2018 is listed as an applicable construction regulationPuerto Rico Construction Code 2018code2018 Puerto Rico Construction Code, current listing accessed August 2026Puerto Rico, including San JuanContext only [21]

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 73.07 after target-market demand +2.3 pts and referral ecosystem +0.8 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
    The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.

    Used for: High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environments

    Publisher
    Supplied research material
    Data period
    San Juan section reviewed August 2, 2026; underlying cited dates vary
    Scope
    San Juan, Puerto Rico section within a multi-city research docket
    Locator
    San Juan section, paragraphs 117-126
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 2, 2026
  2. 2
    Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.

    Used for: Municipal patent rate schedule for nonfinancial businesses

    Publisher
    Supplied research material
    Data period
    San Juan section reviewed August 2, 2026; underlying cited dates vary
    Scope
    San Juan, Puerto Rico section within a multi-city municipal docket
    Locator
    San Juan section, paragraphs 72-79
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 2, 2026
  3. 3
    Franchise data - 2 - riverside through charlotte.csvInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Data period
    Undated supplied neighborhood records reviewed August 2, 2026
    Scope
    Condado, Miramar, Hato Rey, RĂ­o Piedras, Old San Juan, and Ocean Park records
    Locator
    Rows where city equals San Juan and state_name equals Puerto Rico
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    August 2, 2026
  4. 4
    San Juan Municipio, Puerto Rico Profile

    Used for: Resident population estimate in 2024, Population density in 2024, Estimated households in 2024, Estimated housing units in 2024, and Median household income in 2024

    Publisher
    U.S. Census Bureau
    Data period
    2024 Puerto Rico Community Survey 1-year estimates
    Scope
    San Juan Municipio, Puerto Rico
    Locator
    Population, density, income, poverty, education, households, and housing sections
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  5. 5
    QuickFacts: San Juan Municipio, Puerto Rico

    Used for: Population change from the 2020 estimate base to 2024

    Publisher
    U.S. Census Bureau
    Published
    May 14, 2026
    Data period
    2023 County Business Patterns and 2022 economic measures where displayed
    Scope
    San Juan Municipio, Puerto Rico
    Locator
    Employer establishments, employment, payroll, receipts, and sales rows
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  6. 6
    Municipio Employment and Wages in Puerto Rico — Fourth Quarter 2025

    Used for: Covered establishments in fourth quarter 2025, Covered employment in December 2025, Covered employment change from December 2024 to December 2025, and Average weekly wage in fourth quarter 2025

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    June 12, 2026
    Data period
    Fourth quarter and December 2025
    Scope
    San Juan Municipio, Puerto Rico
    Locator
    Table 1 and Table 2, San Juan row
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  7. 7
    Occupational Employment and Wages in San Juan-Bayamón-Caguas — May 2024

    Used for: Mean hourly wages for selected franchise-relevant major occupation groups

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    April 29, 2025
    Data period
    May 2024
    Scope
    San Juan-BayamĂłn-Caguas metropolitan statistical area
    Locator
    Table A major occupational groups and technical note
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  8. 8
    San Juan-Caguas-Guaynabo, PR Economy at a Glance

    Used for: Preliminary unemployment rate in May 2026 and Preliminary total nonfarm employment in June 2026

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    July 1, 2026
    Data period
    Labor-force data through May 2026 and nonfarm employment through June 2026, preliminary
    Scope
    San Juan-BayamĂłn-Caguas metropolitan statistical area
    Locator
    Economy at a Glance table
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  9. 9
    Plan de Mitigación Contra Peligros Naturales Municipio de San Juan 2026 — Borrador

    Used for: Population age 65 and older in the 2019-2023 PRCS profile, Selected establishment and employment counts in the 2022 Economic Census table, Housing stock and occupancy in the 2019-2023 PRCS profile, Housing stock and occupancy in Santurce, and Modeled structure counts by flood-risk category

    Publisher
    Municipio AutĂłnomo de San Juan
    Published
    February 16, 2026
    Data period
    2020 Census; 2019-2023 PRCS; 2022 Economic Census; 2026 hazard modeling
    Scope
    San Juan Municipio, with barrio and subbarrio detail
    Locator
    Pages 106-122, 487, 619, and 637-638
    Source tier
    Tier 1 · government draft
    Accessed
    August 2, 2026
  10. 10
    Compañía de Turismo de Puerto Rico destaca cierre exitoso de la temporada alta de cruceros con aumento de 43% en pasajeros

    Used for: Cruise passengers recorded during the November 2025-April 2026 high season and Homeport cruise passengers during the November 2025-April 2026 high season

    Publisher
    Puerto Rico Tourism Company
    Published
    May 29, 2026
    Data period
    November 2025 through April 2026
    Scope
    Old San Juan cruise port and Puerto Rico cruise operations
    Locator
    Passenger totals, operations, seasonality, and homeport section
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  11. 11
    Puerto Rico Industrial - 2H 2025

    Used for: San Juan industrial vacancy and asking rents in the second half of 2025

    Publisher
    JLL
    Published
    November 26, 2025
    Data period
    Second half of 2025
    Scope
    San Juan industrial market and Toa Baja-to-Carolina development corridor
    Locator
    Vacancy, asking rent, scarcity, and pre-development pipeline summary
    Source tier
    Tier 3 · credible industry
    Accessed
    August 2, 2026
  12. 12
    Office Report (San Juan Metro) - 1H 2026

    Used for: San Juan Metro office vacancy in the first half of 2026 and Office landlords were reported to offer greater concessions and flexible termination structures

    Publisher
    JLL
    Published
    May 29, 2026
    Data period
    First half of 2026
    Scope
    San Juan metropolitan office market
    Locator
    Vacancy, downsizing, lease flexibility, and concessions summary
    Source tier
    Tier 3 · credible industry
    Accessed
    August 2, 2026
  13. 13
    The Gap: Assessing the Affordability and Availability of Rental Housing in Puerto Rico

    Used for: Affordable and available rental homes per 100 extremely low-income renter households

    Publisher
    National Low Income Housing Coalition
    Published
    November 20, 2025
    Data period
    2023 Puerto Rican Community Survey
    Scope
    Puerto Rico and San Juan metropolitan area
    Locator
    San Juan metropolitan affordable-and-available rental-home finding
    Source tier
    Tier 2 · recognized institutional research
    Accessed
    August 2, 2026
  14. 14
    CĂłdigo de Desarrollo EconĂłmico del Municipio AutĂłnomo de San Juan

    Used for: Municipal patent rate schedule for nonfinancial businesses

    Publisher
    Municipio AutĂłnomo de San Juan / Oficina de Gerencia y Presupuesto de Puerto Rico
    Published
    April 24, 2023
    Data period
    Code revision dated April 24, 2023
    Scope
    Municipio AutĂłnomo de San Juan
    Locator
    Article 2.01, municipal patent rates and thresholds, pages 14-15
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  15. 15
    2050 Multimodal Long Range Transportation Plan — San Juan Transportation Management Area

    Used for: The approved long-range plan identifies the San Juan TMA as Puerto Rico's most complex highway and multimodal transportation system and its main freight and passenger gateway

    Publisher
    Puerto Rico Department of Transportation and Public Works / Metropolitan Planning Organization
    Data period
    Approved 2050 long-range plan accessed August 2026
    Scope
    San Juan Transportation Management Area
    Locator
    San Juan TMA system complexity, freight entry, transit, and congestion summary
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  16. 16
    Programa de PlanificaciĂłn FĂ­sica

    Used for: Puerto Rico planning programs include designated historic zones, tourism-interest zones, and a coastal-zone management framework

    Publisher
    Puerto Rico Planning Board
    Data period
    Current program framework accessed August 2026
    Scope
    Puerto Rico historic zones, tourist-interest zones, and coastal-zone program
    Locator
    Historic zones, tourism zones, and coastal-zone program sections
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  17. 17
    ConservaciĂłn HistĂłrica

    Used for: Historic resources in the Old San Juan historic district

    Publisher
    Oficina Estatal de ConservaciĂłn HistĂłrica de Puerto Rico
    Data period
    Historic-resource inventory through May 2024
    Scope
    Puerto Rico, including Old San Juan historic district and San Juan Historic Site
    Locator
    Historic-district inventory list
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  18. 18
    Reglamento Núm. 41 — Reglamento Conjunto para la Evaluación y Expedición de Permisos Relacionados al Desarrollo, Uso de Terrenos y Operación de Negocios

    Used for: A new business in an existing location generally requires a Permiso Ăšnico and parcel-use verification; construction and remodeling require licensed professional processing

    Publisher
    Puerto Rico Planning Board
    Published
    June 16, 2023
    Data period
    Current emergency joint regulation framework accessed August 2026
    Scope
    Puerto Rico, including San Juan subject to applicable municipal hierarchy and mapped districts
    Locator
    Regulation title and current effective framework
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  19. 19
    OGPe — Oficina de Gerencia de Permisos

    Used for: A new business in an existing location generally requires a Permiso Ăšnico and parcel-use verification; construction and remodeling require licensed professional processing

    Publisher
    Puerto Rico Office of Permit Management
    Data period
    Current permit workflow accessed August 2026
    Scope
    Puerto Rico, including San Juan where OGPe or municipal permitting authority applies
    Locator
    New business, use change, unique permit, construction, and remodeling workflows
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026
  20. 20
    Projections of corrosion and deterioration of infrastructure in United States coasts under a changing climate

    Used for: High temperature and humidity can accelerate corrosion and deterioration of reinforced-concrete and steel infrastructure in coastal environments

    Publisher
    National Institute of Standards and Technology
    Published
    April 30, 2022
    Data period
    Coastal infrastructure deterioration modeling through 2100
    Scope
    United States coastal counties; mechanism used as general engineering corroboration, not a San Juan condition estimate
    Locator
    Abstract and coastal corrosion mechanism
    Source tier
    Tier 1 · government research
    Accessed
    August 2, 2026
  21. 21
    Reglamentos — Código Construcción de Puerto Rico 2018

    Used for: The Puerto Rico Construction Code 2018 is listed as an applicable construction regulation

    Publisher
    Negociado del Cuerpo de Bomberos de Puerto Rico
    Data period
    2018 Puerto Rico Construction Code, current listing accessed August 2026
    Scope
    Puerto Rico, including San Juan
    Locator
    Regulations list, Puerto Rico Construction Code 2018
    Source tier
    Tier 1 · government
    Accessed
    August 2, 2026

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