67.0 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Manhattan, New York
We ranked 14 franchise concepts for Manhattan, New York using local demand, labor, transportation, real estate, regulation, and source-backed evidence.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
1.5 points average among 10 affected concepts
1.6 points average reduction among 14 affected concepts
Tested rank range spans 6 positions
Executive conclusion
What the ranking means for Manhattan, New York
Our Manhattan, New York analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ActionCOACH, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 10 concepts and added 1.5 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 1.6 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.
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 management | 73.8Tier 2 · Favorable modeled alignment | +3.1 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coaching | 73.3Tier 2 · Favorable modeled alignment | +2.5 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphics | 71.6Tier 3 · Mixed modeled alignment | +2.8 ptsTarget-market demand | -0.9 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance services | 70.3Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | -1.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Jan-Pro InternationalCommercial cleaning | 70.3Tier 3 · Mixed modeled alignment | +2.7 ptsTarget-market demand | -1.9 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Tiger AdjustersPublic insurance adjusting | 69.7Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 69.4Tier 3 · Mixed modeled alignment | +0.7 ptsReferral ecosystem | -1.2 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Workout AnytimeFitness | 68.7Tier 3 · Mixed modeled alignment | No material positive local adjustment | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Rainbow International RestorationRestoration | 67.1Tier 3 · Mixed modeled alignment | +0.8 ptsReferral ecosystem | -2.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Mister Sparky ElectricElectrical | 67.0Tier 3 · Mixed modeled alignment | +1.4 ptsProperty replacement-cycle demand | -2.8 ptsLabor and staffing friction | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +3.1 pts | — | -0.4 pts | -0.1 pts | +1.2 pts |
| #2 ActionCOACH | +2.5 pts | — | -0.1 pts | -0.1 pts | +1.0 pts |
| #3 FASTSIGNS | +2.8 pts | — | -0.9 pts | -0.9 pts | +0.5 pts |
| #4 HomeSmiles | +1.6 pts | — | -1.6 pts | -0.7 pts | +0.9 pts |
| #5 Jan-Pro International | +2.7 pts | — | -1.9 pts | -0.9 pts | +0.3 pts |
| #6 Tiger Adjusters | +0.4 pts | — | -0.7 pts | -0.6 pts | +0.6 pts |
| #7 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | -0.5 pts | -1.2 pts | +0.7 pts |
| #8 Workout Anytime | — | — | -1.0 pts | -0.2 pts | — |
| #9 Rainbow International Restoration | — | +0.3 pts | -2.2 pts | -1.9 pts | +0.8 pts |
| #10 Mister Sparky Electric | — | +1.4 pts | -2.8 pts | -1.8 pts | +0.2 pts |
| #11 PuroClean | — | +0.4 pts | -2.2 pts | -2.2 pts | +0.9 pts |
| #12 Aire Serv | +0.5 pts | +1.3 pts | -2.9 pts | -2.1 pts | — |
| #13 ZOOM DRAIN | +0.6 pts | +0.5 pts | -2.5 pts | -2.7 pts | +0.7 pts |
| #14 Mr. Rooter | +0.4 pts | +0.5 pts | -2.6 pts | -2.4 pts | +0.3 pts |
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.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.2 |
| 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 | 73.79 |
| Published local-market alignment | 73.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Interpretation
How to interpret the result
City Wide, ActionCOACH, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for Jan-Pro International, Tiger Adjusters, Pillar To Post Home Inspectors; their ranks move more widely when individual factors are neutralized.
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.
We applied a measurable adjustment to 10 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Tiger Adjusters moved from #6 to #3, the largest movement among concepts directly affected by this factor.
Concepts helped most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. Mister Sparky Electric moved from #10 to #13, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. Mister Sparky Electric moved from #10 to #8, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. ZOOM DRAIN moved from #13 to #8, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 6 concepts changed position. Rainbow International Restoration moved from #9 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo 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
Category comparisons
Best franchise categories we assessed in Manhattan, 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 Manhattan, New York
2 Restoration concepts qualified for comparison, with scores ranging from 66.9 to 67.1. Rainbow International Restoration ranked highest at 67.1. Referral ecosystem added 0.8 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2.2 points on average.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 66.9–67.1
- Category average
- 67.0
Compare all assessed concepts
Explore the complete score calculations
14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.
City Wide
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.2 |
| 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 | 73.79 |
| Published local-market alignment | 73.8 |
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
- Target-market demand +3.1 pts
- Tested rank range
- #1–#2
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
ActionCOACH
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.0 |
| 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 | 73.35 |
| Published local-market alignment | 73.3 |
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 +2.5 pts
- Tested rank range
- #1–#2
Most important next check
Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?
FASTSIGNS
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.5 |
| 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 | 71.59 |
| 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
- 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 +2.8 pts
- Tested rank range
- #3–#5
Most important next check
Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?
HomeSmiles
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.6 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.9 |
| 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 | 70.32 |
| 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
- 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 +1.6 pts
- Tested rank range
- #4–#7
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.9 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| 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
- 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 +2.7 pts
- Tested rank range
- #4–#8
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
Tiger Adjusters
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| 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 | 69.71 |
| Published local-market alignment | 69.7 |
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
- Labor and staffing friction -0.7 pts
- Tested rank range
- #3–#7
Most important next check
What daily vehicle utilization and travel-time allowance are built into Tiger Adjusters's operating plan?
Pillar To Post Home Inspectors
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | -1.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.7 |
| 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 | 69.39 |
| Published local-market alignment | 69.4 |
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
- Transportation, routing, and parking -1.2 pts
- Tested rank range
- #4–#8
Most important next check
What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?
Workout Anytime
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| 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 | 68.74 |
| Published local-market alignment | 68.7 |
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
- Labor and staffing friction -1.0 pts
- Tested rank range
- #6–#10
Most important next check
What site size, occupancy-cost ceiling, parking supply, and buildout budget must a Workout Anytime location satisfy?
Rainbow International Restoration
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.2 |
| Transportation, routing, and parking | -1.9 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.8 |
| 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 | 67.11 |
| Published local-market alignment | 67.1 |
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
- Labor and staffing friction -2.2 pts
- Tested rank range
- #9–#11
Most important next check
Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?
Mister Sparky Electric
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +1.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.8 |
| Transportation, routing, and parking | -1.8 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| 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 | 67.04 |
| Published local-market alignment | 67.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.8 pts
- Tested rank range
- #7–#13
Most important next check
Which licensed roles must Mister Sparky Electric hire or contract locally, and what recruiting timeline is built into the opening plan?
PuroClean
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.2 |
| Transportation, routing, and parking | -2.2 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.8 |
| 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 | 66.89 |
| Published local-market alignment | 66.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -2.2 pts
- Tested rank range
- #9–#12
Most important next check
What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?
Aire Serv
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.5 |
| Property replacement-cycle demand | +1.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.9 |
| Transportation, routing, and parking | -2.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | Not applicable to this operating model |
| 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 | 66.72 |
| Published local-market alignment | 66.7 |
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
- Labor and staffing friction -2.9 pts
- Tested rank range
- #10–#14
Most important next check
Which HVAC technician specialties must Aire Serv staff first, and what recruiting and training runway is built into the opening plan?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.5 |
| Transportation, routing, and parking | -2.7 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.7 |
| 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 | 66.48 |
| Published local-market alignment | 66.5 |
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
- Transportation, routing, and parking -2.7 pts
- Tested rank range
- #8–#14
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
Mr. Rooter
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.6 |
| Transportation, routing, and parking | -2.4 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| 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 | 66.14 |
| Published local-market alignment | 66.1 |
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
- Labor and staffing friction -2.6 pts
- Tested rank range
- #12–#14
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
No franchise concepts match the selected filters.
Metric registry
The 32 local metrics behind this analysis
The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.
View all local metrics
| Metric | Raw value | Period | Geography | How used | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 1,664,862people | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Territory quality | [5] |
| Population change from the April 2020 estimate base to July 2025 | -1.8percent | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand | [5] |
| Resident population density in 2020 | 74,781.6people per square mile | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Territory quality | [5] |
| Estimated housing units on July 1, 2025 | 938,554housing units | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [5] |
| Estimated households during 2020-2024 | 778,281households | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand | [5] |
| Owner-occupied housing-unit rate during 2020-2024 | 25.1percent | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Territory quality | [5] |
| Housing units authorized by building permits in 2025 | 2,984housing units authorized | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Property replacement-cycle demand | [5] |
| Units built in buildings with four or more units from 2010 through 2025 | 72,177housing units | Housing and development series through 2025 | Manhattan (New York County), New York | Evidence for Target-market demand, Property replacement-cycle demand | [6] |
| Median gross rent during 2020-2024 | 2,197usd per month | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Labor and staffing friction | [5] |
| Median value of owner-occupied housing units during 2020-2024 | 1,090,500usd | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Labor and staffing friction | [5] |
| Median household income in 2024 dollars during 2020-2024 | 103,931usd per year | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Labor and staffing friction | [5] |
| Adults age 25 or older with a bachelor's degree or higher during 2020-2024 | 64.2percent | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [5] |
| Employer establishments in 2023 | 93,904establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [5] |
| Employment at employer establishments in 2023 | 2,322,720employees | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [5] |
| Annual payroll at employer establishments in 2023 | 339,413,027,000usd | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [5] |
| Nonemployer establishments in 2023 | 227,099establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits | Manhattan (New York County), New York | Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition | [5] |
| Adjusted Manhattan office visits relative to comparable pre-pandemic levels in June 2026 | -8.6percent | Employment through May 2026; office visits through June 2026 | Manhattan office market | Evidence for Target-market demand, Territory quality | [8] |
| Observed Manhattan storefront vacancy rate as of April 15, 2026 | 12.9percent of storefronts | Observed storefront status through April 15, 2026 | Manhattan (New York County), New York | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [7] |
| Financial District–Battery Park City storefront vacancy rate | 21.1percent of storefronts | Observed storefront status through April 15, 2026 | Financial District–Battery Park City, Manhattan | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [7] |
| East Midtown–Turtle Bay storefront vacancy rate | 17.7percent of storefronts | Observed storefront status through April 15, 2026 | East Midtown–Turtle Bay, Manhattan | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [7] |
| Manhattan retail-corridor asking-rent and availability conditions in the first half of 2026 | corridors with asking rent increase: 8; corridors tracked: 16; prime corridor availability direction: tightening; areas with concentrated availability: Times Square, Herald Squarecorridor market summary | January through June 2026 | Sixteen major Manhattan retail corridors | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [9] |
| Basic minimum hourly wage effective January 1, 2026 | 17usd per hour | Minimum wages effective January 1, 2026 | New York City, Long Island, and Westchester | Evidence for Labor and staffing friction | [11] |
| Mean hourly wages for franchise-relevant frontline occupational groups in May 2025 | all occupations: 41.5; national all occupations: 33.54; food preparation and serving: 22.22; building and grounds cleaning and maintenance: 23.02; sales and related: 36.03; office and administrative support: 28.72usd per hour | May 2025 | New York-Newark-Jersey City metropolitan statistical area | Evidence for Labor and staffing friction | [10] |
| Mean hourly wages for construction and installation-maintenance-repair occupational groups in May 2025 | construction and extraction: 39.49; installation maintenance and repair: 34.5usd per hour | May 2025 | New York-Newark-Jersey City metropolitan statistical area | Evidence for Labor and staffing friction, Property replacement-cycle demand | [10] |
| Commercial trucks generally must use the designated truck-route network and use the most direct route for local destinations off the network | yesrule applies | Current rules accessed August 2026 | New York City truck-route network, including Manhattan zones | Evidence for Transportation, routing, and parking | [12] |
| Commercial-vehicle parking is subject to special Manhattan rules, and the current overnight-parking pilot locations are in industrial areas outside Manhattan | special manhattan rules: yes; overnight pilot in manhattan: norule summary | Current rules and overnight-parking pilots accessed August 2026 | Manhattan and New York City commercial-vehicle parking system | Evidence for Transportation, routing, and parking, Real estate and site feasibility | [13] [14] |
| Peak and overnight Congestion Relief Zone tolls for small and large trucks in August 2026 | small truck peak: 14.4; small truck overnight: 3.6; large truck peak: 21.6; large truck overnight: 5.4usd per entry subject to schedule credits and exemptions | Toll schedule active in August 2026 | Manhattan south of and including 60th Street, excluding specified roadways and connections | Evidence for Transportation, routing, and parking, Territory quality | [15] |
| Buildings higher than six stories require façade inspections and technical filings every five years | minimum height condition: higher than 6 stories; inspection cycle years: 5; citywide structures in program approximate: 16,000rule and program universe | Current requirements accessed August 2026 | New York City buildings higher than six stories | Evidence for Property replacement-cycle demand, Regulatory and operating friction, Labor and staffing friction | [16] [17] |
| Local Law 97 building-size thresholds and emissions-limit timeline | single building threshold sqft greater than: 25,000; multiple buildings same lot threshold sqft greater than: 50,000; initial limits begin: 2,024; stricter limits begin: 2,030; covered buildings list reference date: 2026-03regulatory thresholds | Compliance beginning in 2024; 2026 covered-building records as of March 2026 | Covered New York City buildings, including Manhattan | Evidence for Property replacement-cycle demand, Regulatory and operating friction | [18] |
| Commercial Rent Tax location and rent threshold | location: Manhattan south of the center line of 96th Street; annual or annualized gross rent minimum: 250,000; sliding credit upper bound: 300,000; exemptions apply: yesregulatory thresholds | Current rules accessed August 2026 | Manhattan south of the center line of 96th Street | Evidence for Real estate and site feasibility, Regulatory and operating friction | [21] |
| Business-sign and storefront changes are governed by zoning and permit requirements, with additional approvals for designated landmarks and historic districts | yesrule applies when triggered | Current zoning and permit guidance accessed August 2026 | Manhattan properties subject to sign permits, special districts, landmark designation, or historic-district controls | Evidence for Regulatory and operating friction, Real estate and site feasibility | [19] [20] |
| City procurement opportunities use PASSPort RFx workflows and may require accounts, invitations, roles, or prequalification; award selection can take weeks or months | passport account required to submit: yes; prequalification may apply: yes; selection timing: several weeks or monthsprocess requirements | Current opportunity-search and account requirements accessed August 2026 | New York City agency procurement accessible to Manhattan-serving vendors | Evidence for Sales and customer acquisition, Referral ecosystem, Target-market demand | [22] [23] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
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 that apply without an unresolved site, territory, customer, or project gate.
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.
Why every concept begins at 70.0
70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It 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 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Franchise-to-City Operating-Fit Model TaxonomyInternal or supplied research; not publicly accessible.
- 2United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
- 3Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
- 4Franchise Neighborhood Operating Evidence TableInternal or supplied research; not publicly accessible.
- 5QuickFacts: New York County, New York
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Resident population density in 2020, Estimated housing units on July 1, 2025, and Estimated households during 2020-2024
- 6Manhattan Borough Profile
Used for: Units built in buildings with four or more units from 2010 through 2025
- 7Who's Minding the Storefronts? An Analysis of Storefront Vacancies in New York City
Used for: Observed Manhattan storefront vacancy rate as of April 15, 2026, Financial District–Battery Park City storefront vacancy rate, and East Midtown–Turtle Bay storefront vacancy rate
- 8New York by the Numbers: Monthly Economic and Fiscal Outlook No. 115
Used for: Adjusted Manhattan office visits relative to comparable pre-pandemic levels in June 2026
- 9Manhattan Retail Report — First Half 2026
Used for: Manhattan retail-corridor asking-rent and availability conditions in the first half of 2026
- 10Occupational Employment and Wages in New York-Newark-Jersey City — May 2025
Used for: Mean hourly wages for franchise-relevant frontline occupational groups in May 2025 and Mean hourly wages for construction and installation-maintenance-repair occupational groups in May 2025
- 11Wages and Pay
Used for: Basic minimum hourly wage effective January 1, 2026
- 12Truck Routing
Used for: Commercial trucks generally must use the designated truck-route network and use the most direct route for local destinations off the network
- 13Parking a Truck or Commercial Vehicle
Used for: Commercial-vehicle parking is subject to special Manhattan rules, and the current overnight-parking pilot locations are in industrial areas outside Manhattan
- 14Loading Zones
Used for: Commercial-vehicle parking is subject to special Manhattan rules, and the current overnight-parking pilot locations are in industrial areas outside Manhattan
- 15Congestion Relief Zone Tolling
Used for: Peak and overnight Congestion Relief Zone tolls for small and large trucks in August 2026
- 16Façade Compliance
Used for: Buildings higher than six stories require façade inspections and technical filings every five years
- 17FISP Statistics
Used for: Buildings higher than six stories require façade inspections and technical filings every five years
- 18LL97 Greenhouse Gas Emissions Reduction
Used for: Local Law 97 building-size thresholds and emissions-limit timeline
- 19Installing a Business Sign: A Step-by-Step Guide
Used for: Business-sign and storefront changes are governed by zoning and permit requirements, with additional approvals for designated landmarks and historic districts
- 20Storefronts
Used for: Business-sign and storefront changes are governed by zoning and permit requirements, with additional approvals for designated landmarks and historic districts
- 21Commercial Rent Tax
Used for: Commercial Rent Tax location and rent threshold
- 22Find Contract Opportunities
Used for: City procurement opportunities use PASSPort RFx workflows and may require accounts, invitations, roles, or prequalification; award selection can take weeks or months
- 23Respond to Contract Opportunities
Used for: City procurement opportunities use PASSPort RFx workflows and may require accounts, invitations, roles, or prequalification; award selection can take weeks or months
- 24
- 25
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.
