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.

What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking Read the methodology

14Concepts evaluated

25Sources used

19Primary sources

32Local metrics

Evaluation set

Why these concepts were evaluated

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

14Concepts assessed

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

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

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

67.0 average across 2 concepts

Largest positive factorTarget-market demand

1.5 points average among 10 affected concepts

Largest negative factorLabor and staffing friction

1.6 points average reduction among 14 affected concepts

Most assumption-sensitive rankMister Sparky Electric

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.

Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.

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

View all 14 score calculations

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.

Highlight concept

Primary source records by factorTarget-market demand: ^[5] ^[6] ^[8] ^[7] ^[9] ^[2]Property replacement-cycle demand: ^[5] ^[6] ^[16] ^[17] ^[18] ^[2]Competitive environment: ^[5] ^[24] ^[7] ^[9] ^[4]Labor and staffing friction: ^[11] ^[10] ^[5] ^[16] ^[18] ^[3]Transportation, routing, and parking: ^[12] ^[13] ^[14] ^[15] ^[2] ^[4]Real estate and site feasibility: ^[9] ^[7] ^[21] ^[25] ^[13] ^[19] ^[20] ^[2]Sales and customer acquisition: ^[5] ^[24] ^[22] ^[23] ^[9] ^[4]Referral ecosystem: ^[5] ^[22] ^[23] ^[2]Territory quality: ^[5] ^[7] ^[8] ^[9] ^[15] ^[21] ^[4]Regulatory and operating friction: ^[18] ^[16] ^[19] ^[20] ^[21] ^[3] ^[4]

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.

#1 City WideStable · tested #1–#2

#2 ActionCOACHStable · tested #1–#2

#3 FASTSIGNSModerately sensitive · tested #3–#5

#4 HomeSmilesModerately sensitive · tested #4–#7

#5 Jan-Pro InternationalHighly sensitive · tested #4–#8

#6 Tiger AdjustersHighly sensitive · tested #3–#7

#7 Pillar To Post Home InspectorsHighly sensitive · tested #4–#8

#8 Workout AnytimeHighly sensitive · tested #6–#10

#9 Rainbow International RestorationModerately sensitive · tested #9–#11

#10 Mister Sparky ElectricHighly sensitive · tested #7–#13

#11 PuroCleanModerately sensitive · tested #9–#12

#12 Aire ServHighly sensitive · tested #10–#14

#13 ZOOM DRAINHighly sensitive · tested #8–#14

#14 Mr. RooterModerately sensitive · tested #12–#14

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

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.

Starting pointThe operating-model baseline shown in the first ledger row.

InteractionsAny interaction or gate is included in the relevant contribution or calibration row.

Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.

RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

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.

Operating environment56Positive local support

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 adjusted10 of 14

Average among affected+1.5 pts

Average across all concepts+1.1 pts

Concepts changing rank8

Concepts helped most

City WideFacility management

+3.1 pts

FASTSIGNSSigns and graphics

+2.8 pts

Jan-Pro InternationalCommercial cleaning

+2.7 pts

ActionCOACHBusiness coaching

+2.5 pts

HomeSmilesProperty maintenance services

+1.6 pts

Measured but not differentiating in this concept set

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.

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

Rainbow International Restoration67.1

PuroClean66.9

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.

SearchCategoryLargest impactSort

#1Tier 2 · Favorable modeled alignment73.8

City Wide

Facility management · B2B facility management and vendor coordination

Increase +3.1 pts Target-market demandReduction -0.4 pts Labor and staffing friction

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?

#2Tier 2 · Favorable modeled alignment73.3

ActionCOACH

Business coaching · home-based B2B advisory

Increase +2.5 pts Target-market demandReduction -0.1 pts Transportation, routing, and parking

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?

#3Tier 3 · Mixed modeled alignment71.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.8 pts Target-market demandReduction -0.9 pts Transportation, routing, and parking

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?

#4Tier 3 · Mixed modeled alignment70.3

HomeSmiles

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

Increase +1.6 pts Target-market demandReduction -1.6 pts Labor and staffing friction

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?

#5Tier 3 · Mixed modeled alignment70.3

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.7 pts Target-market demandReduction -1.9 pts Labor and staffing friction

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?

#6Tier 3 · Mixed modeled alignment69.7

Tiger Adjusters

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

Increase +0.6 pts Referral ecosystemReduction -0.7 pts Labor and staffing friction

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?

#7Tier 3 · Mixed modeled alignment69.4

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.7 pts Referral ecosystemReduction -1.2 pts Transportation, routing, and parking

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?

#8Tier 3 · Mixed modeled alignment68.7

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -1.0 pts Labor and staffing friction

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?

#9Tier 3 · Mixed modeled alignment67.1

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.8 pts Referral ecosystemReduction -2.2 pts Labor and staffing friction

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?

#10Tier 3 · Mixed modeled alignment67.0

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +1.4 pts Property replacement-cycle demandReduction -2.8 pts Labor and staffing friction

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?

#11Tier 3 · Mixed modeled alignment66.9

PuroClean

Restoration · emergency property restoration

Increase +0.9 pts Referral ecosystemReduction -2.2 pts Labor and staffing friction

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?

#12Tier 3 · Mixed modeled alignment66.7

Aire Serv

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

Increase +1.3 pts Property replacement-cycle demandReduction -2.9 pts Labor and staffing friction

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?

#13Tier 3 · Mixed modeled alignment66.5

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.7 pts Referral ecosystemReduction -2.7 pts Transportation, routing, and parking

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?

#14Tier 3 · Mixed modeled alignment66.1

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.5 pts Property replacement-cycle demandReduction -2.6 pts Labor and staffing friction

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?

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

Tier 1 · Strongest modeled alignment80.0–100.0

Tier 2 · Favorable modeled alignment72.0–80.0

Tier 3 · Mixed modeled alignment64.0–72.0

Tier 4 · Higher-friction modeled alignment0.0–64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score

What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Analysis updated August 5, 2026

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.

1
Franchise-to-City Operating-Fit Model TaxonomyInternal or supplied research; not publicly accessible.
Publisher
User File Library
Data period
Calibration model version 0.9.0-calibration
Scope
Model-wide
Locator
factors, operating_attribute_taxonomy, and city_modifier_taxonomy
Source tier
Tier 0 · controlling taxonomy
Accessed
August 4, 2026
2
United States Structural Inefficiency and CRE Arbitrage AuditInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Research claims and citations contained in the supplied document
Scope
Manhattan section within a multi-city research docket
Locator
Manhattan, New York section, extracted paragraphs 37-45
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
3
Jurisdictional Friction and Structural Capital Constraints: A Forensic Audit of Municipal Operating EnvironmentsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Research claims and citations contained in the supplied document
Scope
Manhattan section within a multi-city research docket
Locator
Manhattan, New York section, wage, fee, insurance, infrastructure, zoning, and seasonality subsections
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
4
Franchise Neighborhood Operating Evidence TableInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Undated supplied neighborhood research
Scope
Financial District, Midtown East, Upper West Side, and Greenwich Village rows labeled Manhattan
Locator
Rows where %city% equals Manhattan; mislabeled Williamsburg and Astoria rows excluded
Source tier
Tier 5 · supplied bespoke research
Accessed
August 4, 2026
5
QuickFacts: 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
Publisher
U.S. Census Bureau
Published
May 14, 2026
Data period
July 1, 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business statistics; 2025 permits
Scope
New York County, coterminous with Manhattan borough
Locator
Population, housing, income, business, and geography tables
Source tier
Tier 1 · government
Accessed
August 4, 2026
6
Manhattan Borough Profile
Used for: Units built in buildings with four or more units from 2010 through 2025
Publisher
NYU Furman Center
Published
May 1, 2026
Data period
Housing and development series through 2025
Scope
Manhattan borough
Locator
Housing Market and Development tables
Source tier
Tier 2 · recognized institutional research
Accessed
August 4, 2026
7
Who'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
Publisher
Office of the New York City Comptroller
Published
June 4, 2026
Data period
Observed storefront status through April 15, 2026
Scope
New York City, Manhattan borough, and Manhattan neighborhoods
Locator
Executive Summary and borough and neighborhood vacancy findings
Source tier
Tier 1 · government
Accessed
August 4, 2026
8
New 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
Publisher
Office of the New York City Comptroller
Published
July 15, 2026
Data period
Employment through May 2026; office visits through June 2026
Scope
New York City with Manhattan office-market findings
Locator
Office Market and Attendance section
Source tier
Tier 1 · government
Accessed
August 4, 2026
9
Manhattan Retail Report — First Half 2026
Used for: Manhattan retail-corridor asking-rent and availability conditions in the first half of 2026
Publisher
Real Estate Board of New York
Published
June 24, 2026
Data period
January through June 2026
Scope
Sixteen tracked Manhattan retail corridors
Locator
Big Picture, What Is Driving Activity, and What Is Ahead
Source tier
Tier 3 · credible industry
Accessed
August 4, 2026
10
Occupational 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
Publisher
U.S. Bureau of Labor Statistics
Published
June 5, 2026
Data period
May 2025
Scope
New York-Newark-Jersey City metropolitan statistical area
Locator
Table A major occupational groups and technical note
Source tier
Tier 1 · government
Accessed
August 4, 2026
11
Wages and Pay
Used for: Basic minimum hourly wage effective January 1, 2026
Publisher
Office of the New York State Attorney General
Data period
Minimum wages effective January 1, 2026
Scope
New York City, Long Island, and Westchester wage area
Locator
Current minimum wage table
Source tier
Tier 1 · government
Accessed
August 4, 2026
12
Truck 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
Publisher
New York City Department of Transportation
Data period
Current rules accessed August 2026
Scope
New York City with Manhattan truck-route zones
Locator
Truck Route Network and Local and Through Routes
Source tier
Tier 1 · government
Accessed
August 4, 2026
13
Parking 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
Publisher
New York City Department of Transportation
Data period
Current rules and overnight-parking pilots accessed August 2026
Scope
New York City with special Manhattan zones and outer-borough industrial-business-zone pilots
Locator
Commercial vehicle rules and overnight parking pilot
Source tier
Tier 1 · government
Accessed
August 4, 2026
14
Loading 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
Publisher
New York City Department of Transportation
Data period
Current loading-zone rules accessed August 2026
Scope
New York City curb network
Locator
Commercial, neighborhood, and metered loading-zone descriptions
Source tier
Tier 1 · government
Accessed
August 4, 2026
15
Congestion Relief Zone Tolling
Used for: Peak and overnight Congestion Relief Zone tolls for small and large trucks in August 2026
Publisher
Metropolitan Transportation Authority
Data period
Toll schedule active in August 2026
Scope
Manhattan south of and including 60th Street, subject to listed exclusions and credits
Locator
Zone geography, time periods, vehicle classes, tolls, credits, and exemptions
Source tier
Tier 1 · government
Accessed
August 4, 2026
16
Façade Compliance
Used for: Buildings higher than six stories require façade inspections and technical filings every five years
Publisher
New York City Department of Buildings
Data period
Current requirements accessed August 2026
Scope
New York City buildings higher than six stories
Locator
Inspection cycle and Qualified Exterior Wall Inspector requirements
Source tier
Tier 1 · government
Accessed
August 4, 2026
17
FISP Statistics
Used for: Buildings higher than six stories require façade inspections and technical filings every five years
Publisher
New York City Department of Buildings
Data period
Current program background accessed August 2026
Scope
New York City buildings greater than six stories
Locator
Program background and classification definitions
Source tier
Tier 1 · government
Accessed
August 4, 2026
18
LL97 Greenhouse Gas Emissions Reduction
Used for: Local Law 97 building-size thresholds and emissions-limit timeline
Publisher
New York City Department of Buildings
Data period
Compliance beginning in 2024; 2026 covered-building records as of March 2026
Scope
Covered buildings in New York City, including Manhattan
Locator
Covered Buildings, 2026 Covered Buildings List, Requirements, and professional-attestation sections
Source tier
Tier 1 · government
Accessed
August 4, 2026
19
Installing 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
Publisher
New York City Department of Buildings
Data period
Current zoning and permit guidance accessed August 2026
Scope
New York City with zoning-, special-district-, and historic-district variation
Locator
Steps 1-5 and sign-size and permit tables
Source tier
Tier 1 · government
Accessed
August 4, 2026
20
Storefronts
Used for: Business-sign and storefront changes are governed by zoning and permit requirements, with additional approvals for designated landmarks and historic districts
Publisher
New York City Landmarks Preservation Commission
Data period
Current permit process accessed August 2026
Scope
Designated landmark buildings and historic districts in New York City, including Manhattan
Locator
Storefront regulation, permit triggers, and application process
Source tier
Tier 1 · government
Accessed
August 4, 2026
21
Commercial Rent Tax
Used for: Commercial Rent Tax location and rent threshold
Publisher
New York City Department of Finance
Data period
Current rules accessed August 2026
Scope
Commercial tenancies in Manhattan south of the center line of 96th Street, subject to rent and exemption thresholds
Locator
Eligibility, credits, exemptions, and filing guidance
Source tier
Tier 1 · government
Accessed
August 4, 2026
22
Find 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
Publisher
New York City Mayor's Office of Contract Services
Published
April 3, 2025
Data period
Current opportunity-search and account requirements accessed August 2026
Scope
New York City agency procurement
Locator
PASSPort account, RFx, invitations, City Record, and prequalification guidance
Source tier
Tier 1 · government
Accessed
August 4, 2026
23
Respond 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
Publisher
New York City Mayor's Office of Contract Services
Published
April 8, 2025
Data period
Current response workflow accessed August 2026
Scope
New York City agency procurement
Locator
RFx response workflow, roles, selection status, and timing note
Source tier
Tier 1 · government
Accessed
August 4, 2026
24
County Business Patterns: 2023
Publisher
U.S. Census Bureau
Published
June 26, 2025
Data period
Calendar year 2023
Scope
County, metropolitan area, and ZIP Code establishments by NAICS
Locator
Dataset description and detailed-industry availability
Source tier
Tier 1 · government
Accessed
August 4, 2026
25
Manufacturing Districts: M1
Publisher
New York City Department of City Planning
Data period
Current zoning guide accessed August 2026
Scope
New York City M1 districts, including Manhattan-specific high-density districts
Locator
M1 district use, parking, and loading descriptions
Source tier
Tier 1 · government
Accessed
August 4, 2026

Before contacting a franchisor

Complete the next layer of due diligence

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

Apply the analysis to your situation

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

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

Request a private franchise review

View methodology View source registry

Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.

Best Franchise Opportunities We Assessed in Manhattan, New York

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Manhattan, New York

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Transportation, routing, and parking

Concepts challenged most

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in Manhattan, New York

Best Restoration franchise opportunities we assessed in Manhattan, New York

Explore the complete score calculations

City Wide

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ActionCOACH

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FASTSIGNS

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HomeSmiles

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Jan-Pro International

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Tiger Adjusters

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Pillar To Post Home Inspectors

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Workout Anytime

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Rainbow International Restoration

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Mister Sparky Electric

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PuroClean

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Aire Serv

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ZOOM DRAIN

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Mr. Rooter

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