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

View the ranking Read the methodology

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.

Rank	Franchise	Alignment and tier	Largest advantage	Largest constraint	Evidence confidence
1	City WideFacility management	73.2Tier 2 · Favorable modeled alignment	+2.6 ptsTarget-market demand	-0.3 ptsLabor and staffing friction	Moderate evidence confidence
2	ActionCOACHBusiness coaching	72.8Tier 2 · Favorable modeled alignment	+2.1 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
3	FASTSIGNSSigns and graphics	72.1Tier 2 · Favorable modeled alignment	+2.3 ptsTarget-market demand	-0.6 ptsLabor and staffing friction	Moderate evidence confidence
4	Jan-Pro InternationalCommercial cleaning	71.1Tier 3 · Mixed modeled alignment	+2.2 ptsTarget-market demand	-1.3 ptsLabor and staffing friction	Moderate evidence confidence
5	HomeSmilesProperty maintenance services	70.9Tier 3 · Mixed modeled alignment	+1.4 ptsTarget-market demand	-1.2 ptsLabor and staffing friction	Moderate evidence confidence
6	Pillar To Post Home InspectorsHome inspection	70.6Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.4 ptsLabor and staffing friction	Moderate evidence confidence
7	Tiger AdjustersPublic insurance adjusting	70.3Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.5 ptsLabor and staffing friction	Moderate evidence confidence
8	ZOOM DRAINDrain and sewer service	69.6Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-1.9 ptsLabor and staffing friction	Moderate evidence confidence
9	PuroCleanRestoration	69.4Tier 3 · Mixed modeled alignment	+0.6 ptsReferral ecosystem	-1.6 ptsLabor and staffing friction	Moderate evidence confidence
10	Rainbow International RestorationRestoration	69.4Tier 3 · Mixed modeled alignment	+0.6 ptsReferral ecosystem	-1.6 ptsLabor and staffing friction	Moderate evidence confidence

View all 14 score calculations

Original factor comparison

How each factor affected the highest-rated franchise concepts

The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.

Highlight concept

Primary source records by factorTarget-market demand: ^[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

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction	Referral 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 baseline	70.0
Target-market demand	+2.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.9
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	73.20
Published local-market alignment	73.2

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.

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.

SearchCategoryLargest impactSort

#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 baseline	70.0
Target-market demand	+2.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.9
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	73.20
Published local-market alignment	73.2

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 baseline	70.0
Target-market demand	+2.1
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	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
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	72.80
Published local-market alignment	72.8

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 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	-0.6
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	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	72.07
Published local-market alignment	72.1

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 baseline	70.0
Target-market demand	+2.2
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.12
Published local-market alignment	71.1

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 baseline	70.0
Target-market demand	+1.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	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	70.91
Published local-market alignment	70.9

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 baseline	70.0
Target-market demand	+0.2
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.55
Published local-market alignment	70.6

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 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	-0.5
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.30
Published local-market alignment	70.3

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: 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 baseline	70.0
Target-market demand	+0.5
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	-1.9
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.59
Published local-market alignment	69.6

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 baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-1.6
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.42
Published local-market alignment	69.4

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: 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 baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-1.6
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.37
Published local-market alignment	69.4

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: 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 baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.7
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	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	69.27
Published local-market alignment	69.3

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 baseline	70.0
Target-market demand	+0.4
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	-2.0
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.09
Published local-market alignment	69.1

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 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	-2.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	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	69.07
Published local-market alignment	69.1

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 baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+1.0
Competitive environment	Not included in the score
Labor and staffing friction	-2.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	68.98
Published local-market alignment	69.0

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

Metric	Raw value	Period	Geography	How used	Source
Resident population estimate on July 1, 2025	2,358,182people	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Territory quality	^[3]
Population change from the April 2020 estimate base to July 2025	-2percent	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand	^[3]
Resident population density in the 2020 Census	22,124.5people per square mile	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Territory quality	^[3]
Queens household and housing base	housing 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: 3,395mixed	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[3]
Queens employer and nonemployer business base	employer establishments: 51,188; total employment: 616,045; annual payroll usd thousands: 35,016,828; employment change 2022 2023 percent: 6.2; nonemployer establishments: 286,717mixed	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Competitive environment, Sales and customer acquisition, Referral ecosystem	^[3]
Queens reported sector sales and receipts	accommodation 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 thousands	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Referral ecosystem	^[3]
Foreign-born and non-English-at-home shares	foreign born percent: 47.6; language other than english at home percent age 5 plus: 55.4percent	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence for Target-market demand, Sales and customer acquisition, Territory quality	^[3]
Queens housing-stock age profile from Census-derived county estimates	median year built: 1,953; built 1939 or earlier percent: 30.3; built 1939 or earlier units: 273,370; total housing units in source: 903,598mixed	2023 American Community Survey five-year estimates	Queens, New York	Evidence 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 units	prewar units percent: 17; newer units percent: 7.7percent of age cohort	2023 New York City Housing and Vacancy Survey	New York City housing stock; used as a relationship baseline rather than a Queens incidence estimate	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[6]
Observed Queens storefront vacancy rate as of April 15, 2026	9.5percent of storefronts	Observed storefront status through April 15, 2026	Queens, New York	Evidence for Target-market demand, Real estate and site feasibility, Territory quality, Competitive environment	^[4]
Queens neighborhood tabulation areas with elevated storefront vacancy	Old 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 storefronts	Observed storefront status through April 15, 2026	Selected Queens neighborhood tabulation areas	Evidence for Target-market demand, Real estate and site feasibility, Territory quality	^[4]
Persistent and clustered storefront vacancy in named Queens areas	persistent 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: 30mixed	Observed storefront status through April 15, 2026	Queens neighborhoods with a citywide clustering relationship	Evidence for Target-market demand, Competitive environment, Real estate and site feasibility, Territory quality	^[4]
General minimum wage effective January 1, 2026	17usd per hour	Rate effective January 1, 2026	New York City, including Queens	Evidence for Labor and staffing friction, Regulatory and operating friction	^[8]
Metropolitan mean hourly wages and employment shares for overlapping labor groups	all 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 percent	May 2025; release reissued June 24, 2026	New York-Newark-Jersey City, NY-NJ metropolitan statistical area	Evidence for Labor and staffing friction	^[7]
Mean travel time to work for Queens workers age 16 and over	42.9minutes	Population and housing estimates through July 1, 2025; ACS 2020-2024; business data through 2023; Economic Census 2022	Queens, New York	Evidence 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 destination	through routes required for through trips: yes; local routes required for local trips: yes; off route destination access limited to direct approach: yesrule	Current rules accessed July 2026	New York City truck-route network, including Queens	Evidence for Transportation, routing, and parking, Territory quality	^[9]
Commercial vehicles are prohibited on major Queens parkways	restricted queens parkways: Belt Parkway, Cross Island Parkway, Jackie Robinson Parkway, most of Grand Central Parkway; limited exceptions require rule confirmation: yesrule	Current rules accessed July 2026	Queens parkway system	Evidence for Transportation, routing, and parking, Territory quality	^[10]
Metered overnight commercial-truck parking pilot in the Maspeth Industrial Business Zone	corridor: 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 parkingmixed	Pilot announced March 2025 and active subject to current curb rules	Maspeth Industrial Business Zone, Queens	Evidence 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 baseline	vacancy 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: 1,500,000mixed	Q4 2025 and full-year 2025	New York City industrial market; not isolated to Queens or small-bay units	Evidence for Real estate and site feasibility, Competitive environment	^[12]
Named Queens Industrial Business Zones eligible under the city program	Jamaica, JFK Industrial Corridor, Long Island City, Maspeth, Ridgeway/SoMA, Steinway, Woodsideindustrial business zones	Current program information accessed July 2026	Queens Industrial Business Zones	Evidence for Real estate and site feasibility, Territory quality, Referral ecosystem	^[13]
Operating scale of two municipal hospitals in Queens	NYC 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: 1,045mixed	Current facility profile accessed July 2026	Elmhurst and Jamaica, Queens	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[15] ^[16]
Queens Borough President’s stated local-contract target within the JFK redevelopment program	airport transformation value usd: 20,000,000,000; queens business contract target usd: 1,000,000,000; project status: active redevelopment programusd	Current initiatives accessed July 2026	John F	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Territory quality	^[14]
Approximate annual value of goods and services procured by New York City	20,000,000,000usd per year minimum	Current procurement overview accessed July 2026	New York City procurement accessible to qualified Queens vendors	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[17]
City contracting uses vendor registration, PASSPort RFx, invitations, City Record notices, and sometimes prequalification	passport account required to submit: yes; public opportunity search available: yes; rfx process: yes; prequalification may apply: yes; city record publication threshold usd: 100,000process	Current opportunity-search and account requirements accessed July 2026	New York City procurement accessible to qualified Queens vendors	Evidence for Sales and customer acquisition, Referral ecosystem, Regulatory and operating friction	^[18]
Local Law 97 covered-building size thresholds and tightening schedule	single 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: 2026-03mixed	Compliance beginning in 2024; 2026 Covered Buildings List published March 2026	New York City covered buildings, including qualifying Queens properties	Evidence 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 rules	permit 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: yesrule	Current zoning and permit guidance accessed July 2026	New York City properties, including Queens	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[20]
Landmark and historic-district storefront alterations require Landmarks Preservation Commission review	covered 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: Porticorule	Current permit process accessed July 2026	Designated Queens landmark properties and historic districts	Evidence 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 gates	high risk annual probability percent: 1; thirty year high risk probability percent: 26; property level zone required: yes; current and preliminary map differences require review: yesmixed	Current and preliminary flood-map framework accessed July 2026	Mapped floodplains in Queens and New York City	Evidence 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

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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

Request a private franchise review

View methodology View source registry

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

Best Franchise Opportunities We Assessed in Queens, New York

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Queens, New York

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in Queens, New York

Best Restoration franchise opportunities we assessed in Queens, New York

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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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Pillar To Post Home Inspectors

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Tiger Adjusters

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ZOOM DRAIN

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PuroClean

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Rainbow International Restoration

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Workout Anytime

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Mr. Rooter

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Aire Serv

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Mister Sparky Electric

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The 28 local metrics behind this analysis

What the model can and cannot establish