Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in New York, New York

We ranked 14 franchise concepts for New York, 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 See the local evidence

14Concepts evaluated

27Sources used

22Primary sources

40Local 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

68.0 average across 2 concepts

Largest positive factorTarget-market demand

1.2 points average among 11 affected concepts

Largest negative factorLabor and staffing friction

1.5 points average reduction among 13 affected concepts

Most assumption-sensitive rankWorkout Anytime

Tested rank range spans 7 positions

Executive conclusion

What the ranking means for New York, New York

Our New York, 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 11 concepts and added 1.2 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 13 exposed concepts by 1.5 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	74.0Tier 2 · Favorable modeled alignment	+2.9 ptsTarget-market demand	-0.3 ptsLabor and staffing friction	Moderate evidence confidence
2	ActionCOACHBusiness coaching	73.4Tier 2 · Favorable modeled alignment	+2.3 ptsTarget-market demand	-0.1 ptsTransportation, routing, and parking	Moderate evidence confidence
3	FASTSIGNSSigns and graphics	71.7Tier 3 · Mixed modeled alignment	+2.6 ptsTarget-market demand	-0.8 ptsLabor and staffing friction	Moderate evidence confidence
4	Jan-Pro InternationalCommercial cleaning	70.7Tier 3 · Mixed modeled alignment	+2.5 ptsTarget-market demand	-1.4 ptsLabor and staffing friction	Moderate evidence confidence
5	HomeSmilesProperty maintenance services	70.7Tier 3 · Mixed modeled alignment	+1.5 ptsTarget-market demand	-1.4 ptsLabor and staffing friction	Moderate evidence confidence
6	Tiger AdjustersPublic insurance adjusting	70.0Tier 3 · Mixed modeled alignment	+0.8 ptsReferral ecosystem	-0.6 ptsLabor and staffing friction	Moderate evidence confidence
7	Pillar To Post Home InspectorsHome inspection	69.9Tier 3 · Mixed modeled alignment	+0.8 ptsReferral ecosystem	-1.1 ptsTransportation, routing, and parking	Moderate evidence confidence
8	Rainbow International RestorationRestoration	68.1Tier 3 · Mixed modeled alignment	+1.0 ptsReferral ecosystem	-1.9 ptsLabor and staffing friction	Moderate evidence confidence
9	Workout AnytimeFitness	68.1Tier 3 · Mixed modeled alignment	No material positive local adjustment	-0.9 ptsTarget-market demand	Moderate evidence confidence
10	PuroCleanRestoration	67.9Tier 3 · Mixed modeled alignment	+1.0 ptsReferral ecosystem	-1.9 ptsTransportation, routing, and parking	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: ^[3] ^[4] ^[5] ^[6] ^[8] ^[16] ^[1]Property replacement-cycle demand: ^[6] ^[7] ^[18] ^[19] ^[1] ^[2]Competitive environment: ^[4] ^[8] ^[27] ^[17] ^[3]Labor and staffing friction: ^[9] ^[10] ^[5] ^[7] ^[1] ^[2]Transportation, routing, and parking: ^[11] ^[12] ^[13] ^[14] ^[15] ^[1]Real estate and site feasibility: ^[16] ^[17] ^[8] ^[22] ^[14] ^[26] ^[1] ^[2]Sales and customer acquisition: ^[5] ^[23] ^[24] ^[25] ^[27] ^[8] ^[4]Referral ecosystem: ^[5] ^[23] ^[24] ^[25] ^[4] ^[1]Territory quality: ^[8] ^[11] ^[14] ^[15] ^[22] ^[21] ^[26]Regulatory and operating friction: ^[18] ^[19] ^[20] ^[21] ^[22] ^[26] ^[10] ^[4] ^[2]

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	+2.9 pts	—	-0.3 pts	-0.1 pts	+1.5 pts
#2 ActionCOACH	+2.3 pts	—	—	-0.1 pts	+1.3 pts
#3 FASTSIGNS	+2.6 pts	—	-0.8 pts	-0.8 pts	+0.7 pts
#4 Jan-Pro International	+2.5 pts	—	-1.4 pts	-0.8 pts	+0.4 pts
#5 HomeSmiles	+1.5 pts	—	-1.4 pts	-0.6 pts	+1.2 pts
#6 Tiger Adjusters	+0.3 pts	—	-0.6 pts	-0.6 pts	+0.8 pts
#7 Pillar To Post Home Inspectors	+0.2 pts	+0.4 pts	-0.5 pts	-1.1 pts	+0.8 pts
#8 Rainbow International Restoration	—	+0.6 pts	-1.9 pts	-1.7 pts	+1.0 pts
#9 Workout Anytime	-0.9 pts	—	-0.8 pts	-0.2 pts	—
#10 PuroClean	—	+0.6 pts	-1.9 pts	-1.9 pts	+1.0 pts
#11 ZOOM DRAIN	+0.6 pts	+0.9 pts	-2.4 pts	-2.4 pts	+0.8 pts
#12 Mister Sparky Electric	—	+1.4 pts	-2.7 pts	-1.6 pts	+0.3 pts
#13 Aire Serv	+0.4 pts	+1.3 pts	-2.8 pts	-1.9 pts	—
#14 Mr. Rooter	+0.4 pts	+0.9 pts	-2.5 pts	-2.2 pts	+0.4 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–#6

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

#5 HomeSmilesStable · tested #5–#5

#6 Tiger AdjustersModerately sensitive · tested #4–#7

#7 Pillar To Post Home InspectorsHighly sensitive · tested #3–#7

#8 Rainbow International RestorationModerately sensitive · tested #8–#11

#9 Workout AnytimeHighly sensitive · tested #7–#14

#10 PuroCleanModerately sensitive · tested #9–#12

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

#12 Mister Sparky ElectricHighly sensitive · tested #8–#13

#13 Aire ServHighly sensitive · tested #9–#14

#14 Mr. RooterModerately sensitive · tested #11–#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	+2.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
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	+1.5
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	73.99
Published local-market alignment	74.0

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, Pillar To Post Home Inspectors, Workout Anytime; 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 environment55Positive 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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Pillar To Post Home Inspectors moved from #7 to #3, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14

Average among affected+1.2 pts

Average across all concepts+0.9 pts

Concepts changing rank8

Concepts helped most

City WideFacility management

+2.9 pts

FASTSIGNSSigns and graphics

+2.6 pts

Jan-Pro InternationalCommercial cleaning

+2.5 pts

ActionCOACHBusiness coaching

+2.3 pts

HomeSmilesProperty maintenance services

+1.5 pts

Concepts challenged most

Workout AnytimeFitness

-0.9 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 New York, 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 67.9 to 68.1. Rainbow International Restoration ranked highest at 68.1. Referral ecosystem added 1 point on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1.9 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: 67.9–68.1
Category average: 68.0

Rainbow International Restoration68.1

PuroClean67.9

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 alignment74.0

City Wide

Facility management · B2B facility management and vendor coordination

Increase +2.9 pts Target-market demandReduction -0.3 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	+2.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
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	+1.5
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	73.99
Published local-market alignment	74.0

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.9 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 alignment73.4

ActionCOACH

Business coaching · home-based B2B advisory

Increase +2.3 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	+2.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Effect below the publication threshold
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	+1.3
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	73.44
Published local-market alignment	73.4

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.3 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 alignment71.7

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.6 pts Target-market demandReduction -0.8 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	+2.6
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.8
Transportation, routing, and parking	-0.8
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	+0.7
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	71.69
Published local-market alignment	71.7

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.6 pts
Tested rank range: #3–#6

Most important next check

Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?

#4Tier 3 · Mixed modeled alignment70.7

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.5 pts Target-market demandReduction -1.4 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	+2.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.4
Transportation, routing, and parking	-0.8
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	+0.4
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	70.69
Published local-market alignment	70.7

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.5 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?

#5Tier 3 · Mixed modeled alignment70.7

HomeSmiles

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

Increase +1.5 pts Target-market demandReduction -1.4 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	+1.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.4
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	+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	70.68
Published local-market alignment	70.7

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.5 pts
Tested rank range: #5–#5

Most important next check

How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?

#6Tier 3 · Mixed modeled alignment70.0

Tiger Adjusters

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

Increase +0.8 pts Referral ecosystemReduction -0.6 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	+0.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.6
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	+0.8
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	69.97
Published local-market alignment	70.0

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.8 pts
Tested rank range: #4–#7

Most important next check

Which professional referral channels are expected to matter most to Tiger Adjusters, and what local relationship count supports the plan?

#7Tier 3 · Mixed modeled alignment69.9

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.8 pts Referral ecosystemReduction -1.1 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	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	-1.1
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	+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	69.86
Published local-market alignment	69.9

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -1.1 pts
Tested rank range: #3–#7

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 alignment68.1

Rainbow International Restoration

Restoration · emergency property restoration

Increase +1.0 pts Referral ecosystemReduction -1.9 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	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	-1.9
Transportation, routing, and parking	-1.7
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	+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	68.09
Published local-market alignment	68.1

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -1.9 pts
Tested rank range: #8–#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?

#9Tier 3 · Mixed modeled alignment68.1

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -0.9 pts Target-market demand

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	-0.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.8
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	68.06
Published local-market alignment	68.1

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand -0.9 pts
Tested rank range: #7–#14

Most important next check

What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?

#10Tier 3 · Mixed modeled alignment67.9

PuroClean

Restoration · emergency property restoration

Increase +1.0 pts Referral ecosystemReduction -1.9 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	Not applicable to this operating model
Property replacement-cycle demand	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	-1.9
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	+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	67.88
Published local-market alignment	67.9

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -1.9 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?

#11Tier 3 · Mixed modeled alignment67.4

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.9 pts Property replacement-cycle demandReduction -2.4 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	+0.9
Competitive environment	Not included in the score
Labor and staffing friction	-2.4
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	+0.8
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	67.39
Published local-market alignment	67.4

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -2.4 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?

#12Tier 3 · Mixed modeled alignment67.3

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +1.4 pts Property replacement-cycle demandReduction -2.7 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	Not applicable to this operating model
Property replacement-cycle demand	+1.4
Competitive environment	Not included in the score
Labor and staffing friction	-2.7
Transportation, routing, and parking	-1.6
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	+0.3
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	67.33
Published local-market alignment	67.3

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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -2.7 pts
Tested rank range: #8–#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?

#13Tier 3 · Mixed modeled alignment67.1

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 -2.8 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	+0.4
Property replacement-cycle demand	+1.3
Competitive environment	Not included in the score
Labor and staffing friction	-2.8
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	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	67.12
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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -2.8 pts
Tested rank range: #9–#14

Most important next check

What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?

#14Tier 3 · Mixed modeled alignment66.9

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.9 pts Property replacement-cycle demandReduction -2.5 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	+0.9
Competitive environment	Not included in the score
Labor and staffing friction	-2.5
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	+0.4
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	66.93
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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -2.5 pts
Tested rank range: #11–#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 40 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	8,584,629people	July 1, 2025 population estimate and April 1, 2020 estimate base	New York, New York	Evidence for Target-market demand, Territory quality	^[3]
Population change from the April 2020 estimate base to July 2025	-2.5percent	July 1, 2025 population estimate and April 1, 2020 estimate base	New York, New York	Evidence for Target-market demand	^[3]
Approximate number of small businesses operating in New York City	180,000businesses approximate	July 2026	New York City	Evidence for Target-market demand, Referral ecosystem, Competitive environment, Sales and customer acquisition	^[4]
Seasonally adjusted total nonfarm employment in May 2026	4,853,890jobs	Employment through May 2026; office visits through June 2026	New York City	Evidence for Target-market demand, Referral ecosystem	^[5]
Seasonally adjusted professional and business services employment in May 2026	806,300jobs	Employment through May 2026; office visits through June 2026	New York City	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Labor and staffing friction	^[5]
Seasonally adjusted financial activities employment in May 2026	520,640jobs	Employment through May 2026; office visits through June 2026	New York City	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[5] ^[1]
Seasonally adjusted health care and social assistance employment in May 2026	1,023,220jobs	Employment through May 2026; office visits through June 2026	New York City	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[5]
Adjusted New York City office visits relative to comparable pre-pandemic levels in June 2026	-8.6percent	Employment through May 2026; office visits through June 2026	New York City office market	Evidence for Target-market demand, Territory quality	^[5]
Estimated total housing units in 2023	3,705,000housing units	2023 New York City Housing and Vacancy Survey	New York City	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[6] ^[7]
Renter households meeting rent-burden thresholds	spending at least 30 percent of income minimum: 40; spending at least 50 percent of income: 25percent of renter households	2023 New York City Housing and Vacancy Survey	New York City renter households	Evidence for Target-market demand, Labor and staffing friction	^[6]
Citywide rental vacancy rate in 2023	1.41percent	2023 New York City Housing and Vacancy Survey	New York City rental housing	Evidence for Target-market demand, Labor and staffing friction, Territory quality	^[6]
Housing units constructed before 1947	54percent of housing units	2023 New York City Housing and Vacancy Survey	New York City housing stock	Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality	^[7] ^[1]
Housing units built more than 50 years before the 2023 survey	80percent of housing units minimum	2023 New York City Housing and Vacancy Survey	New York City housing stock	Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality	^[7] ^[1]
Pre-war housing units reporting three or more measured housing problems	17percent of prewar housing units	2023 New York City Housing and Vacancy Survey	New York City pre-war housing	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[7]
Observed citywide storefront vacancy rate as of April 15, 2026	11percent of storefronts	Observed storefront status through April 15, 2026	New York City	Evidence for Target-market demand, Competitive environment, Real estate and site feasibility, Territory quality	^[8]
Observed storefront and vacant-storefront counts	total storefronts: 142,000; vacant storefronts: 15,700storefronts approximate	Observed storefront status through April 15, 2026	New York City	Evidence for Competitive environment, Real estate and site feasibility, Territory quality	^[8]
Borough storefront vacancy rates ranged from Staten Island to Manhattan	minimum: 7.5; minimum borough: Staten Island; maximum: 12.9; maximum borough: Manhattanpercent of storefronts	Observed storefront status through April 15, 2026	Five boroughs of New York City	Evidence for Target-market demand, Real estate and site feasibility, Territory quality	^[8]
Financial District–Battery Park City storefront vacancy rate	21.1percent of storefronts	Observed storefront status through April 15, 2026	Financial District–Battery Park City	Evidence for Target-market demand, Real estate and site feasibility, Territory quality	^[8] ^[1]
Storefronts within 250 feet of a vacancy had higher vacancy likelihood than the citywide average	30percent higher relative likelihood	Observed storefront status through April 15, 2026	New York City storefront corridors	Evidence for Competitive environment, Target-market demand, Territory quality	^[8]
Average New York live-work-play retail asking rent in Q4 2024	91.4usd per square foot per year	Q4 2024	New York live-work-play retail districts	Evidence for Real estate and site feasibility, Target-market demand	^[16] ^[1]
New York City industrial vacancy in Q4 2025	6.9percent	Q4 2025 and full-year 2025	New York City industrial market	Evidence for Real estate and site feasibility	^[17]
Average asking rent across New York City industrial classes in Q4 2025	30.07usd per square foot per year	Q4 2025 and full-year 2025	New York City industrial market	Evidence for Real estate and site feasibility	^[17]
Industrial leasing velocity in 2025 and year-over-year change	full year leasing square feet: 3,600,000; year over year change: 36square feet and percent	Q4 2025 and full-year 2025	New York City industrial market	Evidence for Real estate and site feasibility, Competitive environment	^[17]
General minimum wage effective January 1, 2026	17usd per hour	Effective January 1, 2026	New York City	Evidence for Labor and staffing friction, Regulatory and operating friction	^[10]
Mean hourly wages for overlapping operating labor groups in the New York metropolitan area compared with the United States	all occupations: new york metro: 41.5, united states: 33.54; management: new york metro: 94.64, united states: 69.84; food preparation and serving: new york metro: 22.22, united states: 17.86; building and grounds cleaning and maintenance: new york metro: 23.02, united states: 19.66; sales and related: new york metro: 36.03, united states: 26.43; office and administrative support: new york metro: 28.72, united states: 24.79; construction and extraction: new york metro: 39.49, united states: 31.42; installation maintenance and repair: new york metro: 34.5, united states: 30.44; additional values omittedusd per hour	May 2025	New York-Newark-Jersey City, NY-NJ	Evidence for Labor and staffing friction	^[9]
Employment shares for construction and installation-related occupational groups	construction and extraction: new york metro percent: 3, united states percent: 4.1; installation maintenance and repair: new york metro percent: 3.1, united states percent: 3.9percent of total employment	May 2025	New York-Newark-Jersey City, NY-NJ	Evidence for Labor and staffing friction	^[9]
Trucks must use the designated Local and Through Truck Route Network except for direct destination access	truck route classes: local truck routes, through truck routes; destination access rule: nearest intersection and most direct routeregulatory requirements	Current rules accessed July 2026	New York City	Evidence for Transportation, routing, and parking, Territory quality	^[11] ^[1]
Commercial vehicles are prohibited on most of the New York City parkway system	Belt Parkway, FDR Drive, Henry Hudson Parkway north of 59th Street, Cross Island Parkway, Jackie Robinson Parkway, Bronx River Parkway, Hutchinson River Parkway, Mosholu Parkway, additional values omittedrestricted roadways	Current rules accessed July 2026	New York City parkways and selected road segments	Evidence for Transportation, routing, and parking, Territory quality	^[12] ^[11]
Commercial vehicle curb and overnight parking restrictions	general maximum parking hours: 3; residential street overnight prohibition: 9:00 p.m. to 5:00 a.m. except listed work exceptions; overnight pilot areas: Flatlands/Fairfield IBZ, Hunts Point IBZ, Maspeth IBZrules and pilot locations	Current rules accessed July 2026	New York City	Evidence for Transportation, routing, and parking, Real estate and site feasibility, Territory quality	^[13] ^[14]
Congestion Relief Zone tolls for commercial vehicles using a valid E-ZPass	zone: Manhattan south of and including 60th Street, excluding listed through roadways; small commercial vehicle peak: 9; small commercial vehicle overnight: 2.25; single unit truck peak: 14.4; single unit truck overnight: 3.6; multi unit truck peak: 21.6; multi unit truck overnight: 5.4; currency: USD; additional values omittedusd per zone entry or daily charge as defined	Toll schedule active in July 2026	Manhattan Congestion Relief Zone	Evidence for Transportation, routing, and parking, Territory quality, Real estate and site feasibility	^[15]
Local Law 97 covered-building size thresholds	single building gross square feet over: 25,000; same tax lot combined gross square feet over: 50,000; same condominium board combined gross square feet over: 50,000gross square feet thresholds	Compliance beginning in 2024; 2026 Covered Buildings List published March 2026	New York City	Evidence for Regulatory and operating friction, Property replacement-cycle demand	^[18] ^[2]
Local Law 97 emissions limits began in 2024 and become stricter in 2030	initial limits begin: 2,024; stricter limits begin: 2,030; covered buildings list reference month: 2026-03calendar years	Compliance beginning in 2024; 2026 Covered Buildings List published March 2026	New York City	Evidence for Regulatory and operating friction, Property replacement-cycle demand	^[18]
Local Law 97 Article 320 and Article 321 noncompliance penalty formulas	article 320 late or missing report: floor area sqft x USD 0.50 per month; article 320 emissions excess: (actual emissions minus limit) x USD 268 per year; article 321 missing report: 10,000; article 321 pathway noncompliance: 10,000penalty formulas usd	Current penalty formulas accessed July 2026	New York City	Evidence for Regulatory and operating friction, Property replacement-cycle demand	^[19] ^[2]
Business sign dimensions, illumination, zoning, applicant, installer, and permit requirements vary by site and sign specification	permit general rule: most business signs require a permit; small nonilluminated exception square feet: 6; zoning and special district rules apply: yes; registered design professional thresholds: surface area over square feet: 150, weight over pounds: 300rules and thresholds	Current zoning and permit guidance accessed July 2026	New York City	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[20]
Exterior storefront work on designated buildings requires Landmarks Preservation Commission review and permits	covered work: storefront installation, awning installation, signage and lighting, painting and cleaning changes, unenclosed sidewalk cafe installation; designation gate: individual landmark, historic districtcovered work and property gates	Current permit process accessed July 2026	New York City landmark buildings and historic districts	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[21]
Commercial Rent Tax applies to qualifying commercial tenancies in a defined Manhattan area	geography: Manhattan south of the center line of 96th Street; annual gross rent minimum: 250,000; nominal tax rate: 6; base rent reduction: 35; effective rate before other credits: 3.9; small business credit conditions: income and base-rent thresholds applyusd thresholds and percent	Current rules and 2025-2026 return guidance accessed July 2026	Manhattan south of 96th Street	Evidence for Real estate and site feasibility, Regulatory and operating friction, Territory quality	^[22]
Annual value of goods and services procured by New York City from outside contractors	20billions usd more than	Current procurement overview accessed July 2026	New York City	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[23]
City contracting can require PASSPort enrollment, RFx response, prequalification, evaluation, and post-selection steps	opportunity access: Procurement Navigator, PASSPort account for bids and proposals, City Record for opportunities at or above USD 100,000, agency invitations; response steps: study RFx, acknowledge when required, prepare response, submit response; possible gates: prequalification, vendor roles, commodity enrollment; selection timing: may take several weeks or monthsprocess elements	Current opportunity-search and account requirements accessed July 2026	New York City	Evidence for Referral ecosystem, Sales and customer acquisition	^[24] ^[25]
FEMA maps identify property-level flood risk and affect insurance and building-code requirements	high risk annual probability percent: 1; high risk thirty year probability percent: 26; preliminary maps used for: new buildings, substantially improved buildingsrisk probability and project gate	Current and preliminary flood-map framework accessed July 2026	New York City	Evidence for Real estate and site feasibility, Territory quality, Regulatory and operating friction	^[26] ^[2]
County Business Patterns provides establishment and employment counts by detailed NAICS and subnational geography	industry detail: 2-through-6-digit NAICS; geographies: county, metropolitan area, ZIP code; measures: establishments, employment, first quarter payroll, annual payrolldataset dimensions	Calendar year 2023	United States subnational geographies including New York City counties and ZIP Codes	Evidence for Competitive environment, Target-market demand, Sales and customer acquisition	^[27]

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
Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Seasonally adjusted financial activities employment in May 2026, Housing units constructed before 1947, Housing units built more than 50 years before the 2023 survey, Financial District–Battery Park City storefront vacancy rate, and Average New York live-work-play retail asking rent in Q4 2024
Publisher
Supplied research material
Data period
Document cites research available through February 2026; exact underlying dates vary by claim
Scope
New York City section within a multi-city research docket
Locator
New York, New York section: macro-physical reality, infrastructure and micro-geography, and operating-format synthesis
Source tier
Tier 5 · supplied bespoke research
Accessed
July 30, 2026
2
Structural Constraints and Hidden Municipal Costs: A Forensic Audit of Ten U.S. JurisdictionsInternal or supplied research; not publicly accessible.
Used for: Local Law 97 covered-building size thresholds, Local Law 97 Article 320 and Article 321 noncompliance penalty formulas, and FEMA maps identify property-level flood risk and affect insurance and building-code requirements
Publisher
Supplied research material
Data period
Document cites research available through February 2026; exact underlying dates vary by claim
Scope
New York City section within a multi-city research docket
Locator
New York, New York section: wage, development, flood, infrastructure, and Local Law 97 subsections
Source tier
Tier 5 · supplied bespoke research
Accessed
July 30, 2026
3
QuickFacts: New York city, New York
Used for: Resident population estimate on July 1, 2025 and Population change from the April 2020 estimate base to July 2025
Publisher
U.S. Census Bureau
Published
May 14, 2026
Data period
July 1, 2025 population estimate and April 1, 2020 estimate base
Scope
New York city, New York
Locator
Population estimates table
Source tier
Tier 1 · government
Accessed
July 30, 2026
4
Mayor Mamdani Announces OPEN for Small Business, Over 50 Reforms to Slash Red Tape and Increase Support for Small Businesses
Used for: Approximate number of small businesses operating in New York City
Publisher
Office of the Mayor of New York City
Published
July 20, 2026
Data period
July 2026
Scope
New York City
Locator
What You Should Know and citywide small-business count
Source tier
Tier 1 · government
Accessed
July 30, 2026
5
New York by the Numbers: Monthly Economic and Fiscal Outlook No. 115
Used for: Seasonally adjusted total nonfarm employment in May 2026, Seasonally adjusted professional and business services employment in May 2026, Seasonally adjusted financial activities employment in May 2026, Seasonally adjusted health care and social assistance employment in May 2026, and Adjusted New York City 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
Locator
Payroll Employment Trends, Table 1, Labor Market Indicators, and Office Market and Attendance sections
Source tier
Tier 1 · government
Accessed
July 30, 2026
6
Fast Facts about NYC Housing
Used for: Estimated total housing units in 2023, Renter households meeting rent-burden thresholds, and Citywide rental vacancy rate in 2023
Publisher
New York City Mayor's Office to Protect Tenants
Data period
2023 New York City Housing and Vacancy Survey
Scope
New York City
Locator
Housing units, renter cost burden, rent, and rental vacancy facts
Source tier
Tier 1 · government
Accessed
July 30, 2026
7
Taking Stock: New York City's Housing Stock
Used for: Estimated total housing units in 2023, Housing units constructed before 1947, Housing units built more than 50 years before the 2023 survey, and Pre-war housing units reporting three or more measured housing problems
Publisher
Citizens Housing & Planning Council
Published
October 1, 2024
Data period
2023 New York City Housing and Vacancy Survey
Scope
New York City and boroughs
Locator
Age of Building and Building Size sections
Source tier
Tier 2 · recognized institutional research
Accessed
July 30, 2026
8
Who's Minding the Storefronts? An Analysis of Storefront Vacancies in New York City
Used for: Observed citywide storefront vacancy rate as of April 15, 2026, Observed storefront and vacant-storefront counts, Borough storefront vacancy rates ranged from Staten Island to Manhattan, Financial District–Battery Park City storefront vacancy rate, and Storefronts within 250 feet of a vacancy had higher vacancy likelihood than the citywide average
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, boroughs, neighborhoods, and storefront corridors
Locator
Executive Summary and Findings
Source tier
Tier 1 · government
Accessed
July 30, 2026
9
Occupational Employment and Wages in New York-Newark-Jersey City — May 2025
Used for: Mean hourly wages for overlapping operating labor groups in the New York metropolitan area compared with the United States and Employment shares for construction and installation-related occupational groups
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
July 30, 2026
10
New York State's Minimum Wage
Used for: General minimum wage effective January 1, 2026
Publisher
State of New York
Data period
Effective January 1, 2026
Scope
New York City, Long Island, and Westchester County rate area
Locator
Minimum Wage Rate Schedule
Source tier
Tier 1 · government
Accessed
July 30, 2026
11
Truck Routing
Used for: Trucks must use the designated Local and Through Truck Route Network except for direct destination access and Commercial vehicles are prohibited on most of the New York City parkway system
Publisher
New York City Department of Transportation
Data period
Current rules accessed July 2026
Scope
New York City
Locator
Truck Route Network, Local and Through Routes, and destination access rules
Source tier
Tier 1 · government
Accessed
July 30, 2026
12
Parkway Truck Restrictions
Used for: Commercial vehicles are prohibited on most of the New York City parkway system
Publisher
New York City Department of Transportation
Data period
Current rules accessed July 2026
Scope
New York City parkway system and listed restricted road segments
Locator
Commercial vehicle prohibitions and listed parkways
Source tier
Tier 1 · government
Accessed
July 30, 2026
13
Truck Driver FAQ
Used for: Commercial vehicle curb and overnight parking restrictions
Publisher
New York City Department of Transportation
Data period
Current rules accessed July 2026
Scope
New York City
Locator
Truck size, route, curb, and overnight-parking rules
Source tier
Tier 1 · government
Accessed
July 30, 2026
14
Parking a Truck or Commercial Vehicle
Used for: Commercial vehicle curb and overnight parking restrictions
Publisher
New York City Department of Transportation
Data period
Current rules and pilot locations accessed July 2026
Scope
New York City with special Manhattan zones and three industrial-business-zone pilot areas
Locator
Commercial vehicle rules and overnight parking pilot
Source tier
Tier 1 · government
Accessed
July 30, 2026
15
Congestion Relief Zone Tolling
Used for: Congestion Relief Zone tolls for commercial vehicles using a valid E-ZPass
Publisher
Metropolitan Transportation Authority
Data period
Toll schedule active in July 2026
Scope
Manhattan south of and including 60th Street, subject to listed roadway exclusions and credits
Locator
Zone geography, time periods, vehicle classes, tolls, credits, and exemptions
Source tier
Tier 1 · government
Accessed
July 30, 2026
16
2025 Retail Rent Dynamics
Used for: Average New York live-work-play retail asking rent in Q4 2024
Publisher
CBRE
Published
May 7, 2025
Data period
Q4 2024
Scope
New York live-work-play retail districts and national comparison markets
Locator
LWP Retail Districts Gain Momentum
Source tier
Tier 3 · credible industry
Accessed
July 30, 2026
17
New York City Industrial & Logistics Figures Q4 2025
Used for: New York City industrial vacancy in Q4 2025, Average asking rent across New York City industrial classes in Q4 2025, and Industrial leasing velocity in 2025 and year-over-year change
Publisher
CBRE
Published
January 12, 2026
Data period
Q4 2025 and full-year 2025
Scope
New York City industrial market
Locator
Vacancy, asking rent, leasing velocity, and pipeline summary
Source tier
Tier 3 · credible industry
Accessed
July 30, 2026
18
LL97 Greenhouse Gas Emissions Reduction
Used for: Local Law 97 covered-building size thresholds and Local Law 97 emissions limits began in 2024 and become stricter in 2030
Publisher
New York City Department of Buildings
Data period
Compliance beginning in 2024; 2026 Covered Buildings List published March 2026
Scope
Covered buildings in New York City
Locator
Covered Buildings, Multiple Buildings on a BBL, 2026 Covered Buildings List, Requirements, and professional-attestation sections
Source tier
Tier 1 · government
Accessed
July 30, 2026
19
LL97 GHG Emissions Violations
Used for: Local Law 97 Article 320 and Article 321 noncompliance penalty formulas
Publisher
New York City Department of Buildings
Data period
Current penalty formulas accessed July 2026
Scope
Buildings subject to Local Law 97 Articles 320 and 321
Locator
Violations for Non-Compliance
Source tier
Tier 1 · government
Accessed
July 30, 2026
20
Installing a Business Sign: A Step-by-Step Guide
Used for: Business sign dimensions, illumination, zoning, applicant, installer, and permit requirements vary by site and sign specification
Publisher
New York City Department of Buildings
Data period
Current zoning and permit guidance accessed July 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
July 30, 2026
21
Storefronts
Used for: Exterior storefront work on designated buildings requires Landmarks Preservation Commission review and permits
Publisher
New York City Landmarks Preservation Commission
Data period
Current permit process accessed July 2026
Scope
Designated landmark buildings and historic districts in New York City
Locator
Storefront regulation, permit triggers, and application process
Source tier
Tier 1 · government
Accessed
July 30, 2026
22
Commercial Rent Tax
Used for: Commercial Rent Tax applies to qualifying commercial tenancies in a defined Manhattan area
Publisher
New York City Department of Finance
Data period
Current rules and 2025-2026 return guidance accessed July 2026
Scope
Commercial tenancies in Manhattan south of the center line of 96th Street, subject to rent and exemption thresholds
Locator
Eligibility, tax rates, credits, exemptions, and filing guidance
Source tier
Tier 1 · government
Accessed
July 30, 2026
23
Procurement 101
Used for: Annual value of goods and services procured by New York City from outside contractors
Publisher
New York City Mayor's Office of Contract Services
Data period
Current procurement overview accessed July 2026
Scope
New York City agency procurement
Locator
Annual procurement scale and vendor overview
Source tier
Tier 1 · government
Accessed
July 30, 2026
24
Find Contract Opportunities
Used for: City contracting can require PASSPort enrollment, RFx response, prequalification, evaluation, and post-selection steps
Publisher
New York City Mayor's Office of Contract Services
Published
April 3, 2025
Data period
Current opportunity-search and account requirements accessed July 2026
Scope
New York City agency procurement
Locator
PASSPort account, RFx, invitations, City Record, and prequalification guidance
Source tier
Tier 1 · government
Accessed
July 30, 2026
25
Respond to Contract Opportunities
Used for: City contracting can require PASSPort enrollment, RFx response, prequalification, evaluation, and post-selection steps
Publisher
New York City Mayor's Office of Contract Services
Published
April 8, 2025
Data period
Current response workflow accessed July 2026
Scope
New York City agency procurement
Locator
RFx response workflow, prequalification, selection status, and timing note
Source tier
Tier 1 · government
Accessed
July 30, 2026
26
About FEMA Flood Maps
Used for: FEMA maps identify property-level flood risk and affect insurance and building-code requirements
Publisher
City of New York
Data period
Current and preliminary flood-map framework accessed July 2026
Scope
Mapped New York City floodplains and property-level flood zones
Locator
FEMA Flood Maps and FEMA Flood Map Update sections
Source tier
Tier 1 · government
Accessed
July 30, 2026
27
County Business Patterns: 2023
Used for: County Business Patterns provides establishment and employment counts by detailed NAICS and subnational geography
Publisher
U.S. Census Bureau
Published
June 26, 2025
Data period
Calendar year 2023
Scope
County, metropolitan area, and ZIP Code business establishments by NAICS
Locator
Dataset description, county file, MSA file, and ZIP Code industry detail file
Source tier
Tier 1 · government
Accessed
July 30, 2026

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Review the current Franchise Disclosure Document.
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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 New York, New York

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for New York, 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

Concepts challenged 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 New York, New York

Best Restoration franchise opportunities we assessed in New York, New York

Explore the complete score calculations

City Wide

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ActionCOACH

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FASTSIGNS

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Jan-Pro International

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HomeSmiles

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Tiger Adjusters

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Pillar To Post Home Inspectors

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Rainbow International Restoration

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Workout Anytime

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PuroClean

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ZOOM DRAIN

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Mister Sparky Electric

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Aire Serv

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Mr. Rooter

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