Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Queens, New York

We ranked 14 franchise concepts for Queens, 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
14Concepts evaluated
22Sources used
17Primary sources
28Local 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

69.4 average across 2 concepts

Largest positive factorTarget-market demand

1.2 points average among 10 affected concepts

Largest negative factorLabor and staffing friction

1.3 points average reduction among 13 affected concepts

Most assumption-sensitive rankPillar To Post Home Inspectors

Tested rank range spans 9 positions

Executive conclusion

What the ranking means for Queens, New York

Our Queens, 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 1.2 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 13 exposed concepts by 1.3 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.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility management
73.2Tier 2 · Favorable modeled alignment
+2.6 ptsTarget-market demand-0.3 ptsLabor and staffing frictionModerate evidence confidence
2ActionCOACHBusiness coaching
72.8Tier 2 · Favorable modeled alignment
+2.1 ptsTarget-market demandNo material negative local adjustmentModerate evidence confidence
3FASTSIGNSSigns and graphics
72.1Tier 2 · Favorable modeled alignment
+2.3 ptsTarget-market demand-0.6 ptsLabor and staffing frictionModerate evidence confidence
4Jan-Pro InternationalCommercial cleaning
71.1Tier 3 · Mixed modeled alignment
+2.2 ptsTarget-market demand-1.3 ptsLabor and staffing frictionModerate evidence confidence
5HomeSmilesProperty maintenance services
70.9Tier 3 · Mixed modeled alignment
+1.4 ptsTarget-market demand-1.2 ptsLabor and staffing frictionModerate evidence confidence
6Pillar To Post Home InspectorsHome inspection
70.6Tier 3 · Mixed modeled alignment
+0.5 ptsReferral ecosystem-0.4 ptsLabor and staffing frictionModerate evidence confidence
7Tiger AdjustersPublic insurance adjusting
70.3Tier 3 · Mixed modeled alignment
+0.5 ptsReferral ecosystem-0.5 ptsLabor and staffing frictionModerate evidence confidence
8ZOOM DRAINDrain and sewer service
69.6Tier 3 · Mixed modeled alignment
+0.5 ptsReferral ecosystem-1.9 ptsLabor and staffing frictionModerate evidence confidence
9PuroCleanRestoration
69.4Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystem-1.6 ptsLabor and staffing frictionModerate evidence confidence
10Rainbow International RestorationRestoration
69.4Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystem-1.6 ptsLabor and staffing frictionModerate 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.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+3.0+1.50.0-1.5-3.0
Target-market demand
#1 City Wide · Target-market demand · +2.6 pts1#2 ActionCOACH · Target-market demand · +2.1 pts2#3 FASTSIGNS · Target-market demand · +2.3 pts3#4 Jan-Pro International · Target-market demand · +2.2 pts4#5 HomeSmiles · Target-market demand · +1.4 pts5#6 Pillar To Post Home Inspectors · Target-market demand · +0.2 pts6#7 Tiger Adjusters · Target-market demand · +0.3 pts7#8 ZOOM DRAIN · Target-market demand · +0.5 pts8#12 Mr. Rooter · Target-market demand · +0.4 pts12#13 Aire Serv · Target-market demand · +0.4 pts13
Property replacement-cycle demand
#6 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.2 pts6#8 ZOOM DRAIN · Property replacement-cycle demand · +0.5 pts8#9 PuroClean · Property replacement-cycle demand · +0.4 pts9#10 Rainbow International Restoration · Property replacement-cycle demand · +0.4 pts10#12 Mr. Rooter · Property replacement-cycle demand · +0.5 pts12#13 Aire Serv · Property replacement-cycle demand · +0.9 pts13#14 Mister Sparky Electric · Property replacement-cycle demand · +1.0 pts14
Labor and staffing friction
#1 City Wide · Labor and staffing friction · -0.3 pts1#3 FASTSIGNS · Labor and staffing friction · -0.6 pts3#4 Jan-Pro International · Labor and staffing friction · -1.3 pts4#5 HomeSmiles · Labor and staffing friction · -1.2 pts5#6 Pillar To Post Home Inspectors · Labor and staffing friction · -0.4 pts6#7 Tiger Adjusters · Labor and staffing friction · -0.5 pts7#8 ZOOM DRAIN · Labor and staffing friction · -1.9 pts8#9 PuroClean · Labor and staffing friction · -1.6 pts9#10 Rainbow International Restoration · Labor and staffing friction · -1.6 pts10#11 Workout Anytime · Labor and staffing friction · -0.7 pts11#12 Mr. Rooter · Labor and staffing friction · -2.0 pts12#13 Aire Serv · Labor and staffing friction · -2.2 pts13#14 Mister Sparky Electric · Labor and staffing friction · -2.2 pts14
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.9 pts1#2 ActionCOACH · Referral ecosystem · +0.8 pts2#3 FASTSIGNS · Referral ecosystem · +0.4 pts3#4 Jan-Pro International · Referral ecosystem · +0.2 pts4#5 HomeSmiles · Referral ecosystem · +0.7 pts5#6 Pillar To Post Home Inspectors · Referral ecosystem · +0.5 pts6#7 Tiger Adjusters · Referral ecosystem · +0.5 pts7#8 ZOOM DRAIN · Referral ecosystem · +0.5 pts8#9 PuroClean · Referral ecosystem · +0.6 pts9#10 Rainbow International Restoration · Referral ecosystem · +0.6 pts10#12 Mr. Rooter · Referral ecosystem · +0.2 pts12#14 Mister Sparky Electric · Referral ecosystem · +0.2 pts14
Primary source records by factorTarget-market demand: [3] [4] [15] [16] [14] [1]Property replacement-cycle demand: [3] [5] [6] [19] [1] [2]Competitive environment: [3] [4] [12] [13]Labor and staffing friction: [7] [8] [5] [6] [1] [2]Transportation, routing, and parking: [9] [10] [11] [3] [1]Real estate and site feasibility: [4] [12] [13] [11] [22] [20] [21] [1] [2]Sales and customer acquisition: [3] [15] [16] [14] [17] [18] [4]Referral ecosystem: [3] [15] [16] [14] [17] [18] [13]Territory quality: [3] [4] [9] [10] [11] [13] [21] [22] [14]Regulatory and operating friction: [8] [19] [20] [21] [22] [18] [2]
View the chart data as a table
ConceptTarget-market demandProperty replacement-cycle demandLabor and staffing frictionReferral ecosystem
#1 City Wide+2.6 pts-0.3 pts+0.9 pts
#2 ActionCOACH+2.1 pts+0.8 pts
#3 FASTSIGNS+2.3 pts-0.6 pts+0.4 pts
#4 Jan-Pro International+2.2 pts-1.3 pts+0.2 pts
#5 HomeSmiles+1.4 pts-1.2 pts+0.7 pts
#6 Pillar To Post Home Inspectors+0.2 pts+0.2 pts-0.4 pts+0.5 pts
#7 Tiger Adjusters+0.3 pts-0.5 pts+0.5 pts
#8 ZOOM DRAIN+0.5 pts+0.5 pts-1.9 pts+0.5 pts
#9 PuroClean+0.4 pts-1.6 pts+0.6 pts
#10 Rainbow International Restoration+0.4 pts-1.6 pts+0.6 pts
#11 Workout Anytime-0.7 pts
#12 Mr. Rooter+0.4 pts+0.5 pts-2.0 pts+0.2 pts
#13 Aire Serv+0.4 pts+0.9 pts-2.2 pts
#14 Mister Sparky Electric+1.0 pts-2.2 pts+0.2 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 Jan-Pro InternationalHighly sensitive · tested #4–#12
#5 HomeSmilesStable · tested #5–#6
#6 Pillar To Post Home InspectorsHighly sensitive · tested #3–#12
#7 Tiger AdjustersHighly sensitive · tested #4–#13
#8 ZOOM DRAINHighly sensitive · tested #6–#10
#9 PuroCleanHighly sensitive · tested #7–#13
#10 Rainbow International RestorationHighly sensitive · tested #8–#14
#11 Workout AnytimeHighly sensitive · tested #8–#14
#12 Mr. RooterHighly sensitive · tested #9–#13
#13 Aire ServHighly sensitive · tested #7–#14
#14 Mister Sparky ElectricHighly sensitive · tested #8–#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 baseline70.0
Target-market demand+2.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.9
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score73.20
Published local-market alignment73.2

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, Tiger Adjusters; 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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 14 concepts changed position. Jan-Pro International moved from #4 to #12, the largest movement among concepts directly affected by this factor.

Concepts adjusted10 of 14
Average among affected+1.2 pts
Average across all concepts+0.9 pts
Concepts changing rank14

Concepts helped most

City WideFacility management
+2.6 pts
FASTSIGNSSigns and graphics
+2.3 pts
Jan-Pro InternationalCommercial cleaning
+2.2 pts
ActionCOACHBusiness coaching
+2.1 pts
HomeSmilesProperty maintenance services
+1.4 pts
Measured but not differentiating in this concept set
  • Competitive environmentNo material score adjustment
  • Transportation, routing, and parkingNo material score adjustment
  • Real estate and site feasibilityNo material score adjustment
  • Sales and customer acquisitionNo material score adjustment
  • Territory qualityNo material score adjustment
  • Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Queens, New York

Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.

Limited two-concept comparison

Best Restoration franchise opportunities we assessed in Queens, New York

69.4

2 Restoration concepts qualified for comparison, with scores ranging from 69.4 to 69.4. PuroClean ranked highest at 69.4. Referral ecosystem added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1.6 points on average.

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

Concepts compared
2
Score range
69.4–69.4
Category average
69.4
PuroClean69.4
Rainbow International Restoration69.4

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.

#1Tier 2 · Favorable modeled alignment73.2

City Wide

Facility management · B2B facility management and vendor coordination

Increase +2.6 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 baseline70.0
Target-market demand+2.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.3
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.9
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score73.20
Published local-market alignment73.2

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +2.6 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 alignment72.8

ActionCOACH

Business coaching · home-based B2B advisory

Increase +2.1 pts Target-market demandNo material negative local adjustment identified

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 baseline70.0
Target-market demand+2.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionEffect below the publication threshold
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.8
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score72.80
Published local-market alignment72.8

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
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +2.1 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 2 · Favorable modeled alignment72.1

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.3 pts Target-market demandReduction -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 baseline70.0
Target-market demand+2.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.6
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.4
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score72.07
Published local-market alignment72.1

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 +2.3 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 alignment71.1

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.2 pts Target-market demandReduction -1.3 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 baseline70.0
Target-market demand+2.2
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.3
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.12
Published local-market alignment71.1

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 +2.2 pts
Tested rank range
#4–#12

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 alignment70.9

HomeSmiles

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

Increase +1.4 pts Target-market demandReduction -1.2 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 baseline70.0
Target-market demand+1.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-1.2
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.7
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.91
Published local-market alignment70.9

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
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Target-market demand +1.4 pts
Tested rank range
#5–#6

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 alignment70.6

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.5 pts Referral ecosystemReduction -0.4 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 baseline70.0
Target-market demand+0.2
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing friction-0.4
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.55
Published local-market alignment70.6

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
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Referral ecosystem +0.5 pts
Tested rank range
#3–#12

Most important next check

What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?

#7Tier 3 · Mixed modeled alignment70.3

Tiger Adjusters

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

Increase +0.5 pts Referral ecosystemReduction -0.5 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 baseline70.0
Target-market demand+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.5
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.30
Published local-market alignment70.3

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Adequate
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -0.5 pts
Tested rank range
#4–#13

Most important next check

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

#8Tier 3 · Mixed modeled alignment69.6

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.5 pts Referral ecosystemReduction -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 baseline70.0
Target-market demand+0.5
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-1.9
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.59
Published local-market alignment69.6

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
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.9 pts
Tested rank range
#6–#10

Most important next check

Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?

#9Tier 3 · Mixed modeled alignment69.4

PuroClean

Restoration · emergency property restoration

Increase +0.6 pts Referral ecosystemReduction -1.6 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.4
Competitive environmentNot included in the score
Labor and staffing friction-1.6
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.6
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.42
Published local-market alignment69.4

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.6 pts
Tested rank range
#7–#13

Most important next check

What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?

#10Tier 3 · Mixed modeled alignment69.4

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.6 pts Referral ecosystemReduction -1.6 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.4
Competitive environmentNot included in the score
Labor and staffing friction-1.6
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.6
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.37
Published local-market alignment69.4

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

Evidence confidence

City Modifier Evidence
Adequate
Factor Research Coverage
Strong
Franchise-profile completeness
Limited
Source-evidence confidence
Strong
Geographic applicability
Limited
Overall evidence confidence
Moderate evidence confidence
Largest absolute effect
Labor and staffing friction -1.6 pts
Tested rank range
#8–#14

Most important next check

Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?

#11Tier 3 · Mixed modeled alignment69.3

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing friction-0.7
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.27
Published local-market alignment69.3

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 -0.7 pts
Tested rank range
#8–#14

Most important next check

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

#12Tier 3 · Mixed modeled alignment69.1

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.5 pts Property replacement-cycle demandReduction -2.0 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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demand+0.5
Competitive environmentNot included in the score
Labor and staffing friction-2.0
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.09
Published local-market alignment69.1

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 -2.0 pts
Tested rank range
#9–#13

Most important next check

How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?

#13Tier 3 · Mixed modeled alignment69.1

Aire Serv

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

Increase +0.9 pts Property replacement-cycle demandReduction -2.2 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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demand+0.9
Competitive environmentNot included in the score
Labor and staffing friction-2.2
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.07
Published local-market alignment69.1

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 -2.2 pts
Tested rank range
#7–#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 alignment69.0

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +1.0 pts Property replacement-cycle demandReduction -2.2 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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+1.0
Competitive environmentNot included in the score
Labor and staffing friction-2.2
Transportation, routing, and parkingDepends on the specific site, territory, or operating condition
Real estate and site feasibilityNot included in the score
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory qualityDepends on the specific site, territory, or operating condition
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score68.98
Published local-market alignment69.0

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
Labor and staffing friction -2.2 pts
Tested rank range
#8–#14

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?

Metric registry

The 28 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
MetricRaw valuePeriodGeographyHow usedSource
Resident population estimate on July 1, 20252,358,182peoplePopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Territory quality [3]
Population change from the April 2020 estimate base to July 2025-2percentPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand [3]
Resident population density in the 2020 Census22,124.5people per square milePopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Territory quality [3]
Queens household and housing basehousing units 2025: 934,750; households 2020 2024: 841,003; persons per household 2020 2024: 2.72; owner occupied rate percent 2020 2024: 44.9; building permits 2025: 3,395mixedPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Property replacement-cycle demand, Territory quality [3]
Queens employer and nonemployer business baseemployer establishments: 51,188; total employment: 616,045; annual payroll usd thousands: 35,016,828; employment change 2022 2023 percent: 6.2; nonemployer establishments: 286,717mixedPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Competitive environment, Sales and customer acquisition, Referral ecosystem [3]
Queens reported sector sales and receiptsaccommodation and food services sales usd thousands: 6,121,389; health care and social assistance revenue usd thousands: 21,652,831; transportation and warehousing revenue usd thousands: 24,366,852; retail sales usd thousands: 23,017,871usd thousandsPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Referral ecosystem [3]
Foreign-born and non-English-at-home sharesforeign born percent: 47.6; language other than english at home percent age 5 plus: 55.4percentPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Target-market demand, Sales and customer acquisition, Territory quality [3]
Queens housing-stock age profile from Census-derived county estimatesmedian year built: 1,953; built 1939 or earlier percent: 30.3; built 1939 or earlier units: 273,370; total housing units in source: 903,598mixed2023 American Community Survey five-year estimatesQueens, New YorkEvidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality [5]
Pre-war housing units reporting three or more measured housing problems compared with newer unitsprewar units percent: 17; newer units percent: 7.7percent of age cohort2023 New York City Housing and Vacancy SurveyNew York City housing stock; used as a relationship baseline rather than a Queens incidence estimateEvidence for Property replacement-cycle demand, Labor and staffing friction [6]
Observed Queens storefront vacancy rate as of April 15, 20269.5percent of storefrontsObserved storefront status through April 15, 2026Queens, New YorkEvidence for Target-market demand, Real estate and site feasibility, Territory quality, Competitive environment [4]
Queens neighborhood tabulation areas with elevated storefront vacancyOld Astoria–Hallets Point: 20.1; Sunnyside Yards (North): 17.7; Queensbridge Ravenswood Dutch Kills: 15.9; South Jamaica: 14.5; Springfield Gardens (South): 14.1; Sunnyside: 13.4percent of storefrontsObserved storefront status through April 15, 2026Selected Queens neighborhood tabulation areasEvidence for Target-market demand, Real estate and site feasibility, Territory quality [4]
Persistent and clustered storefront vacancy in named Queens areaspersistent areas named: Astoria, Long Island City, Flushing, Kew Gardens, parts of southeast Queens; more than one in ten former small business storefronts vacant areas: Astoria, parts of southeast Queens; citywide relative vacancy likelihood within 250 feet of a vacancy percent higher: 30mixedObserved storefront status through April 15, 2026Queens neighborhoods with a citywide clustering relationshipEvidence for Target-market demand, Competitive environment, Real estate and site feasibility, Territory quality [4]
General minimum wage effective January 1, 202617usd per hourRate effective January 1, 2026New York City, including QueensEvidence for Labor and staffing friction, Regulatory and operating friction [8]
Metropolitan mean hourly wages and employment shares for overlapping labor groupsall occupations: local hourly wage: 41.5, national hourly wage: 33.54; food preparation and serving: local hourly wage: 22.22, national hourly wage: 17.86, local employment share percent: 7.4; building and grounds cleaning: local hourly wage: 23.02, national hourly wage: 19.66, local employment share percent: 3.2; sales: local hourly wage: 36.03, national hourly wage: 26.43, local employment share percent: 7.9; office and administrative support: local hourly wage: 28.72, national hourly wage: 24.79, local employment share percent: 11.7; construction and extraction: local hourly wage: 39.49, national hourly wage: 31.42, local employment share percent: 3; installation maintenance and repair: local hourly wage: 34.5, national hourly wage: 30.44, local employment share percent: 3.1; transportation and material moving: local hourly wage: 27.92, national hourly wage: 23.96, local employment share percent: 7.4usd per hour and percentMay 2025; release reissued June 24, 2026New York-Newark-Jersey City, NY-NJ metropolitan statistical areaEvidence for Labor and staffing friction [7]
Mean travel time to work for Queens workers age 16 and over42.9minutesPopulation and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022Queens, New YorkEvidence for Transportation, routing, and parking, Territory quality [3]
Commercial trucks must use the New York City Truck Route Network except for direct access to a destinationthrough routes required for through trips: yes; local routes required for local trips: yes; off route destination access limited to direct approach: yesruleCurrent rules accessed July 2026New York City truck-route network, including QueensEvidence for Transportation, routing, and parking, Territory quality [9]
Commercial vehicles are prohibited on major Queens parkwaysrestricted queens parkways: Belt Parkway, Cross Island Parkway, Jackie Robinson Parkway, most of Grand Central Parkway; limited exceptions require rule confirmation: yesruleCurrent rules accessed July 2026Queens parkway systemEvidence for Transportation, routing, and parking, Territory quality [10]
Metered overnight commercial-truck parking pilot in the Maspeth Industrial Business Zonecorridor: 56th Road from 43rd Street to 49th Street; session length hours: 8; session price usd: 10; paid days: Monday through Saturday; stated purpose: provide legal parking in an area affected by illegal overnight truck parkingmixedPilot announced March 2025 and active subject to current curb rulesMaspeth Industrial Business Zone, QueensEvidence for Transportation, routing, and parking, Real estate and site feasibility, Territory quality [11]
New York City industrial market conditions relevant as a borough-level comparison baselinevacancy percent: 6.9; average asking rent usd per sqft per year: 30.07; class a asking rent usd per sqft per year: 31.46; full year leasing sqft: 3,600,000; leasing change year over year percent: 36; under construction sqft: 1,500,000mixedQ4 2025 and full-year 2025New York City industrial market; not isolated to Queens or small-bay unitsEvidence for Real estate and site feasibility, Competitive environment [12]
Named Queens Industrial Business Zones eligible under the city programJamaica, JFK Industrial Corridor, Long Island City, Maspeth, Ridgeway/SoMA, Steinway, Woodsideindustrial business zonesCurrent program information accessed July 2026Queens Industrial Business ZonesEvidence for Real estate and site feasibility, Territory quality, Referral ecosystem [13]
Operating scale of two municipal hospitals in QueensNYC Health + Hospitals/Elmhurst: beds: 545, clinic visits approx: 717,000, emergency visits approx: 136,000, births: 2,359; NYC Health + Hospitals/Queens: beds: 253, clinic visits approx: 499,000, emergency visits approx: 103,500, births: 1,045mixedCurrent facility profile accessed July 2026Elmhurst and Jamaica, QueensEvidence for Target-market demand, Referral ecosystem, Sales and customer acquisition [15] [16]
Queens Borough President’s stated local-contract target within the JFK redevelopment programairport transformation value usd: 20,000,000,000; queens business contract target usd: 1,000,000,000; project status: active redevelopment programusdCurrent initiatives accessed July 2026John FEvidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Territory quality [14]
Approximate annual value of goods and services procured by New York City20,000,000,000usd per year minimumCurrent procurement overview accessed July 2026New York City procurement accessible to qualified Queens vendorsEvidence for Target-market demand, Referral ecosystem, Sales and customer acquisition [17]
City contracting uses vendor registration, PASSPort RFx, invitations, City Record notices, and sometimes prequalificationpassport account required to submit: yes; public opportunity search available: yes; rfx process: yes; prequalification may apply: yes; city record publication threshold usd: 100,000processCurrent opportunity-search and account requirements accessed July 2026New York City procurement accessible to qualified Queens vendorsEvidence for Sales and customer acquisition, Referral ecosystem, Regulatory and operating friction [18]
Local Law 97 covered-building size thresholds and tightening schedulesingle building gross square feet over: 25,000; same tax lot combined gross square feet over: 50,000; initial limits begin: 2,024; stricter limits begin: 2,030; covered buildings list reference date: 2026-03mixedCompliance beginning in 2024; 2026 Covered Buildings List published March 2026New York City covered buildings, including qualifying Queens propertiesEvidence for Property replacement-cycle demand, Real estate and site feasibility, Regulatory and operating friction [19]
Business signs are governed by zoning, construction, special-district, and historic-district rulespermit generally required above square feet: 6; zoning district controls size and location: yes; special district and historic district rules may apply: yes; professional or licensed installer requirements depend on sign characteristics: yesruleCurrent zoning and permit guidance accessed July 2026New York City properties, including QueensEvidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality [20]
Landmark and historic-district storefront alterations require Landmarks Preservation Commission reviewcovered properties: individual landmarks, buildings in designated historic districts; permit triggers: new or restored storefront, awning, signage and lighting, certain paint or cleaning work, unenclosed sidewalk cafe; application system: PorticoruleCurrent permit process accessed July 2026Designated Queens landmark properties and historic districtsEvidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality [21]
FEMA flood maps establish property-specific flood-risk, insurance, and building-code gateshigh risk annual probability percent: 1; thirty year high risk probability percent: 26; property level zone required: yes; current and preliminary map differences require review: yesmixedCurrent and preliminary flood-map framework accessed July 2026Mapped floodplains in Queens and New York CityEvidence for Real estate and site feasibility, Territory quality, Regulatory and operating friction [22]

How to use the ranking

What the model can and cannot establish

  • Scores measure local operating alignment, not expected financial performance or franchise-system quality.
  • Citywide evidence may not describe the exact site or territory ultimately offered.
  • Conditional effects are shown for diligence but do not change the published score until their applicability is established.

Methodology

How the local-alignment ranking is calculated

01

Measure the city

Collect reusable local metrics with source, period, geography, and confidence fields.

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

Score only effects that apply without an unresolved site, territory, customer, or project gate.

04

Preserve conditional effects

Keep location- or territory-dependent issues visible for diligence without automatically changing the score.

05

Test rank sensitivity

Remove one factor at a time from every concept and rerank using full-precision scores.

06

Generate public output

Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.

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

  1. 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. 1
    Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Published
    February 24, 2026
    Data period
    Research cited as accessed through February 24, 2026
    Scope
    New York City section within a multi-city research docket; Queens applicability independently tested
    Locator
    New York, New York section, paragraphs 2-10 and first city table
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    July 31, 2026
  2. 2
    Structural Constraints and Hidden Municipal Costs: A Forensic Audit of Ten U.S. JurisdictionsInternal or supplied research; not publicly accessible.
    Publisher
    Supplied research material
    Published
    February 19, 2026
    Data period
    Research cited as accessed through February 19, 2026
    Scope
    New York City section within a multi-city research docket; Queens applicability independently tested
    Locator
    New York, New York section, subsections A-F and Local Law 97 table
    Source tier
    Tier 5 · supplied bespoke research
    Accessed
    July 31, 2026
  3. 3
    QuickFacts: Queens 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 the 2020 Census, Queens household and housing base, and Queens employer and nonemployer business base

    Publisher
    U.S. Census Bureau
    Data period
    Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022
    Scope
    Queens County, coextensive with Queens borough, New York
    Locator
    Population, housing, economy, transportation, income, business, and geography tables
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  4. 4
    Who’s Minding the Storefronts? An Analysis of Storefront Vacancies in New York City

    Used for: Observed Queens storefront vacancy rate as of April 15, 2026, Queens neighborhood tabulation areas with elevated storefront vacancy, and Persistent and clustered storefront vacancy in named Queens areas

    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, neighborhood tabulation areas, and storefront corridors
    Locator
    Executive Summary; borough vacancy findings; Western Queens and persistent-vacancy findings
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  5. 5
    Counties with the Oldest Homes in New York

    Used for: Queens housing-stock age profile from Census-derived county estimates

    Publisher
    Stacker
    Published
    September 25, 2025
    Data period
    2023 American Community Survey five-year estimates
    Scope
    New York counties, including Queens County
    Locator
    Queens County entry; methodology states U.S. Census Bureau source
    Source tier
    Tier 4 · directional secondary analysis
    Accessed
    July 31, 2026
  6. 6
    Taking Stock: New York City’s Housing Stock

    Used for: Pre-war housing units reporting three or more measured housing problems compared with newer units

    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, Building Size, and housing-condition sections
    Source tier
    Tier 2 · recognized institutional research
    Accessed
    July 31, 2026
  7. 7
    Occupational Employment and Wages in New York-Newark-Jersey City — May 2025

    Used for: Metropolitan mean hourly wages and employment shares for overlapping labor groups

    Publisher
    U.S. Bureau of Labor Statistics
    Published
    June 5, 2026
    Data period
    May 2025; release reissued June 24, 2026
    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 31, 2026
  8. 8
    New York State’s Minimum Wage

    Used for: General minimum wage effective January 1, 2026

    Publisher
    State of New York
    Data period
    Rate effective January 1, 2026
    Scope
    New York City, Long Island, and Westchester rate area
    Locator
    Raising the Minimum Wage section
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  9. 9
    Truck Routing

    Used for: Commercial trucks must use the New York City Truck Route Network except for direct access to a destination

    Publisher
    New York City Department of Transportation
    Data period
    Current rules accessed July 2026
    Scope
    New York City truck-route network, including Queens
    Locator
    Local and Through Routes; destination access rules
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  10. 10
    Parkway Truck Restrictions

    Used for: Commercial vehicles are prohibited on major Queens parkways

    Publisher
    New York City Department of Transportation
    Data period
    Current rules accessed July 2026
    Scope
    New York City parkway system, including listed Queens parkways
    Locator
    Commercial-vehicle prohibitions and Queens restricted segments
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  11. 11
    Safer Truck Parking for Safer Streets: NYC DOT Announces Launch of Metered Pay-by-App, Overnight Truck Parking Pilot Inside Industrial Business Zones in Three Boroughs

    Used for: Metered overnight commercial-truck parking pilot in the Maspeth Industrial Business Zone

    Publisher
    New York City Department of Transportation
    Published
    March 20, 2025
    Data period
    Pilot announced March 2025 and active subject to current curb rules
    Scope
    Maspeth Industrial Business Zone, Queens, plus two comparison pilot areas
    Locator
    Maspeth corridor, operating hours, session price, and stated parking purpose
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  12. 12
    New York City Industrial & Logistics Figures Q4 2025

    Used for: New York City industrial market conditions relevant as a borough-level comparison baseline

    Publisher
    CBRE
    Published
    January 12, 2026
    Data period
    Q4 2025 and full-year 2025
    Scope
    New York City industrial market; not Queens-specific
    Locator
    Vacancy, asking rent, leasing velocity, and pipeline summary
    Source tier
    Tier 3 · credible industry
    Accessed
    July 31, 2026
  13. 13
    Industrial Business Zone Relocation Credit

    Used for: Named Queens Industrial Business Zones eligible under the city program

    Publisher
    City of New York
    Data period
    Current program information accessed July 2026
    Scope
    New York City Industrial Business Zones, including seven named Queens zones
    Locator
    Queens eligible-zone list and credit eligibility
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  14. 14
    Economic Development

    Used for: Queens Borough President’s stated local-contract target within the JFK redevelopment program

    Publisher
    Office of the Queens Borough President
    Data period
    Current initiatives accessed July 2026
    Scope
    Queens borough
    Locator
    JFK redevelopment contract target, airports, small-business, and technology initiatives
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  15. 15
    NYC Health + Hospitals/Elmhurst

    Used for: Operating scale of two municipal hospitals in Queens

    Publisher
    NYC Health + Hospitals
    Data period
    Current facility profile accessed July 2026
    Scope
    Elmhurst, Queens
    Locator
    Beds, clinic visits, emergency visits, and births
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  16. 16
    NYC Health + Hospitals/Queens

    Used for: Operating scale of two municipal hospitals in Queens

    Publisher
    NYC Health + Hospitals
    Data period
    Current facility profile accessed July 2026
    Scope
    Jamaica, Queens
    Locator
    Beds, clinic visits, emergency visits, and births
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  17. 17
    Procurement 101

    Used for: Approximate annual value of goods and services procured by New York City

    Publisher
    New York City Mayor’s Office of Contract Services
    Data period
    Current procurement overview accessed July 2026
    Scope
    New York City agency procurement; accessible to qualified Queens vendors
    Locator
    Annual procurement scale and vendor overview
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  18. 18
    Find Contract Opportunities

    Used for: City contracting uses vendor registration, PASSPort RFx, invitations, City Record notices, and sometimes prequalification

    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; accessible to qualified Queens vendors
    Locator
    PASSPort account, RFx, invitations, City Record, and prequalification guidance
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  19. 19
    LL97 Greenhouse Gas Emissions Reduction

    Used for: Local Law 97 covered-building size thresholds and tightening schedule

    Publisher
    New York City Department of Buildings
    Data period
    Compliance beginning in 2024; 2026 Covered Buildings List published March 2026
    Scope
    Covered buildings throughout New York City, including Queens
    Locator
    Covered Buildings, 2026 Covered Buildings List, and Requirements
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  20. 20
    Installing a Business Sign: A Step-by-Step Guide

    Used for: Business signs are governed by zoning, construction, special-district, and historic-district rules

    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; sign-size, permit, and professional requirements
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  21. 21
    Storefronts

    Used for: Landmark and historic-district storefront alterations require Landmarks Preservation Commission review

    Publisher
    New York City Landmarks Preservation Commission
    Data period
    Current permit process accessed July 2026
    Scope
    Designated landmark buildings and historic districts, including Queens properties
    Locator
    Storefront regulation, permit triggers, and Portico process
    Source tier
    Tier 1 · government
    Accessed
    July 31, 2026
  22. 22
    About FEMA Flood Maps

    Used for: FEMA flood maps establish property-specific flood-risk, insurance, and building-code gates

    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, including Queens
    Locator
    FEMA Flood Maps and map-update limitations
    Source tier
    Tier 1 · government
    Accessed
    July 31, 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.

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