70.0 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Staten Island, New York
We compared 14 franchise concepts for Staten Island, New York. Local business demand was a leading positive mechanism.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
0.9 points average among 10 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Staten Island, New York
City Wide, FASTSIGNS, and Jan-Pro International 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. City Wide was especially relationship-sensitive: removing local business demand moved it from #1 to #12 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 71.8Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.7Tier 3 · Mixed modeled alignment | +1.7 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 71.6Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 71.5Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 71.0Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.4Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 70.3Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 8 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 70.3Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 9 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 70.2Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 10 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 70.1Tier 3 · Mixed modeled alignment | +0.1 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Staten Island, New York
Large resident and business base supports broad local commercial demand
This relationship affected 10 concepts and added 0.9 points on average among those exposed. Local evidence: Employer establishments in 2023: 9,684 establishments. [4]
Staten Island had the lowest borough storefront vacancy rate in New York City at 7.5 percent as of April 15, 2026.
The 7.5 percent borough rate masks materially higher North Shore neighborhood vacancy, including 14.0 percent in Tompkinsville–Stapleton–Clifton–Fox Hills and roughly 12 percent in other North Shore areas. Fixed-location concepts should therefore use corridor and trade-area evidence rather than treating the borough vacancy rate as a uniform measure of retail demand or site quality. [5] [17]
asset-light-b2b
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was property replacement-cycle demand. [4] [17]
Evidence behind the city mechanisms
Large resident and business base supports broad local commercial demand1 modeled effect
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
City Wide
Initial investment: $229,729–$410,730
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.8 pts |
| Net local movement | +1.84 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.8 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.84 |
| Published local-market alignment | 71.8 |
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
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #1–#12
FASTSIGNS
Initial investment: $231,226–$386,285
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.7 pts |
| Net local movement | +1.67 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.7 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.67 |
| Published local-market alignment | 71.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.7 pts
- Tested rank range
- #2–#6
Jan-Pro International
Initial investment: $130,000–$421,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.6 pts |
| Net local movement | +1.61 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.61 |
| Published local-market alignment | 71.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #3–#14
ActionCOACH
Initial investment: $71,668–$303,513
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.5 pts |
| Net local movement | +1.48 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.48 |
| Published local-market alignment | 71.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #4–#5
HomeSmiles
Initial investment: $148,110–$201,800
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.0 pts |
| Net local movement | +0.98 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.0 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.98 |
| Published local-market alignment | 71.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.0 pts
- Tested rank range
- #2–#5
ZOOM DRAIN
Initial investment: $266,250–$570,500
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.4 pts |
| Net local movement | +0.35 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.35 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #4–#6
Aire Serv
Initial investment: $113,308–$271,708
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.3 pts |
| Net local movement | +0.28 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.28 |
| Published local-market alignment | 70.3 |
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
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #1–#7
Mr. Rooter
Initial investment: $152,900–$298,675
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.3 pts |
| Net local movement | +0.26 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.26 |
| Published local-market alignment | 70.3 |
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
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #7–#8
Tiger Adjusters
Initial investment: $43,050–$159,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.2 pts |
| Net local movement | +0.22 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.22 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #3–#9
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +0.1 pts |
| Net local movement | +0.14 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.14 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.1 pts
- Tested rank range
- #9–#10
Mister Sparky Electric
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #8–#11
PuroClean
Initial investment: $54,575–$262,145
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #10–#12
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #11–#13
Rainbow International Restoration
Initial investment: $185,336–$351,900
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
No material scored local adjustment was identified for this concept.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Limited
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #13–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.8 |
| Property replacement-cycle demand | Not included in the score |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.84 |
| Published local-market alignment | 71.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. City Wide moved from #1 to #13, the largest movement among concepts directly affected by this factor.
What we observed
- Resident Population Estimate On July 1, 2025501,290 people
- Employer Establishments In 20239,684 establishments
- Nonemployer Establishments In 202346,086 establishments
Concepts helped most
- Property replacement-cycle demandNo material score adjustment
- 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
- 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.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand |
|---|---|
| #1 City Wide | +1.8 pts |
| #2 FASTSIGNS | +1.7 pts |
| #3 Jan-Pro International | +1.6 pts |
| #4 ActionCOACH | +1.5 pts |
| #5 HomeSmiles | +1.0 pts |
| #6 ZOOM DRAIN | +0.4 pts |
| #7 Aire Serv | +0.3 pts |
| #8 Mr. Rooter | +0.3 pts |
| #9 Tiger Adjusters | +0.2 pts |
| #10 Pillar To Post Home Inspectors | +0.1 pts |
| #11 Mister Sparky Electric | — |
| #12 PuroClean | — |
| #13 Workout Anytime | — |
| #14 Rainbow International Restoration | — |
Interpretation
How to interpret the result
City Wide, FASTSIGNS, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to property replacement-cycle demand. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, FASTSIGNS, Jan-Pro International; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Staten Island, New York
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Staten Island, New York
2 Restoration concepts qualified for comparison, with scores ranging from 70.0 to 70.0. PuroClean ranked highest at 70.0.
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
- 70.0–70.0
- Category average
- 70.0
Metric registry
The 23 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 501,290people | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Used in scoring | [4] |
| Population change from the April 2020 estimate base to July 2025 | 1percent | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Estimated housing units on July 1, 2025 | 186,310housing units | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Owner-occupied housing unit rate | 67.7percent | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Residential building permits in 2025 | 508permits | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Employer establishments in 2023 | 9,684establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Used in scoring | [4] |
| Nonemployer establishments in 2023 | 46,086establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Used in scoring | [4] |
| Health care and social assistance receipts/revenue in 2022 | 4,874,842thousand usd | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Mean travel time to work for workers age 16 and over | 43.1minutes | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Conditional relationship | [4] |
| Median household income and median housing costs | median household income 2024 dollars: 98,333; median owner cost with mortgage monthly: 2,979; median gross rent monthly: 1,733mixed currency metrics | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census sales/receipts | Richmond County / Staten Island, New York | Context only | [4] |
| Staten Island storefront vacancy as of April 15, 2026 | 7.5percent | Storefront status as of April 15, 2026 | Staten Island, New York | Conditional relationship | [5] |
| Higher storefront-vacancy pockets on the North Shore | tompkinsville stapleton clifton fox hills: 14; rosebank shore acres park hill: 12; st george new brighton: 11.9percent | Storefront status as of April 15, 2026 | Staten Island North Shore neighborhood tabulation areas | Conditional relationship | [5] |
| NYC industrial vacancy and asking rent with Staten Island availability context | nyc vacancy rate: 6.9; nyc average asking rent per sqft: 30.07; staten island context: Large move-out and new availability increased citywide vacancy; Staten Island rents trail the other boroughs.mixed market metrics | Q4 2025 and full-year 2025 | New York City industrial market with Staten Island commentary | Context only | [6] |
| Truck-route requirements and Staten Island Limited Truck Zones | truck network required for trucks: yes; staten island has limited truck zones: yes; off route destination access: nearest intersection and most direct routerule | Current rules accessed August 2026 | New York City / Staten Island | Conditional relationship | [7] |
| Commercial-vehicle curb and overnight parking rules | general commercial street parking limit hours: 3; residential overnight prohibition: 9 PM to 5 AM; overnight pilot on staten island: norule | Current rules accessed August 2026 | New York City / Staten Island | Conditional relationship | [8] [9] |
| Business-sign permit and licensed-installer gates | permit exception: painted wall sign or non-illuminated sign smaller than 6 sq ft; licensed sign hanger exemption: not exceeding 75 sq ft and 25 lb, or other listed exemptions; separate electrical permit for electrical signs: yes; annual illuminated permit may apply: illuminated and extends beyond building linerule | Current permit and licensing guidance accessed August 2026 | New York City / Staten Island | Conditional relationship | [10] |
| Local Law 15 of 2026 temporary accessory-sign protections | summons moratorium end: 2028-02-08; moratorium existing sign cutoff: 2025-02-09; work without permit civil penalty waiver max area sqft: 150; work without permit civil penalty waiver max weight lb: 1,200; temporary assistance end: 2028-08-07rule | Temporary protections and assistance active in 2026 | New York City | Conditional relationship | [11] |
| Special South Richmond Development District protects natural features and conditions development on district rules | protects natural features: yes; addresses topography trees drainage and infrastructure: yes; district specific: yesrule | Current zoning text accessed August 2026; maps include amendments adopted November 2, 2023 | Special South Richmond Development District, Staten Island | Context only | [12] [3] |
| FEMA flood zones determine property-level flood risk and can determine insurance and building-code requirements | special flood hazard area is property specific: yes; mapped flood zones include: VE, AE, AO, A, Xrule | Current flood-map framework accessed August 2026 | Staten Island flood-map areas | Context only | [13] [14] [1] |
| New York City statutory minimum wage effective January 1, 2026 | 17usd per hour | Effective January 1, 2026 | New York City, including Staten Island | Context only | [15] |
| Selected New York-Newark-Jersey City mean hourly wages | all occupations: 41.5; food preparation and serving: 22.22; building and grounds cleaning maintenance: 23.02; office and administrative support: 28.72; construction and extraction: 39.49; installation maintenance repair: 34.5; transportation material moving: 27.92usd per hour | May 2025 | New York-Newark-Jersey City MSA, including Richmond County | Context only | [16] |
| North Shore population, business, and employment growth | population 2010 2020 percent: 7.9; population 2020: 189,663; business growth 2012 2022 percent: 16.8; employment growth 2012 2022 percent approx: 8; business peak 2021: 3,647mixed growth metrics | Population 2010-2020; businesses, jobs, wages, housing and income through 2022 | Staten Island North Shore | Used in scoring | [17] |
| North Shore renter burden and income variation | renter share percent: 44; more than half of renters rent burdened: yes; median household income range usd: 24,000, 160,000mixed metrics | Population 2010-2020; businesses, jobs, wages, housing and income through 2022 | Staten Island North Shore | Conditional relationship | [17] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects whose applicability is established at the report’s current geographic and operating scope.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 71.84 after target-market demand +1.8 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
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.
- 1Structural Inefficiencies and Asymmetric Opportunities in U.S. Sub-Markets: A Utility Delta AuditInternal or supplied research; not publicly accessible.
Used for: FEMA flood zones determine property-level flood risk and can determine insurance and building-code requirements
- 2Forensic Municipal Audit: Structural Constraints and Hidden Capital FrictionsInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - des.csvInternal or supplied research; not publicly accessible.
Used for: Special South Richmond Development District protects natural features and conditions development on district rules
- 4QuickFacts: Richmond County, New York
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated housing units on July 1, 2025, Owner-occupied housing unit rate, and Residential building permits in 2025
- 5Who's Minding the Storefronts? An Analysis of Storefront Vacancies in New York City
Used for: Staten Island storefront vacancy as of April 15, 2026 and Higher storefront-vacancy pockets on the North Shore
- 6New York City Industrial & Logistics Figures Q4 2025
Used for: NYC industrial vacancy and asking rent with Staten Island availability context
- 7Truck Routing
Used for: Truck-route requirements and Staten Island Limited Truck Zones
- 8Truck Driver FAQ
Used for: Commercial-vehicle curb and overnight parking rules
- 9Parking a Truck or Commercial Vehicle
Used for: Commercial-vehicle curb and overnight parking rules
- 10Sign Permit
Used for: Business-sign permit and licensed-installer gates
- 11Accessory Sign Education & Outreach — Local Law 15 of 2026
Used for: Local Law 15 of 2026 temporary accessory-sign protections
- 12Zoning Resolution Article X, Chapter 7 — Special South Richmond Development District
Used for: Special South Richmond Development District protects natural features and conditions development on district rules
- 13About FEMA Flood Maps
Used for: FEMA flood zones determine property-level flood risk and can determine insurance and building-code requirements
- 14Coastal Erosion Hazard Area Map — Staten Island
Used for: FEMA flood zones determine property-level flood risk and can determine insurance and building-code requirements
- 15New York State's Minimum Wage
Used for: New York City statutory minimum wage effective January 1, 2026
- 16Occupational Employment and Wages in New York-Newark-Jersey City — May 2025
Used for: Selected New York-Newark-Jersey City mean hourly wages
- 17DiNapoli: North Shore Leads Staten Island's Growth
Used for: North Shore population, business, and employment growth and North Shore renter burden and income variation
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.















































































