Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in New Haven, Connecticut

We ranked 14 franchise concepts for New Haven, Connecticut using local demand, labor, transportation, real estate, regulation, and source-backed evidence.

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

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking See the local evidence

14Concepts evaluated

30Sources used

17Primary sources

27Local 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

69.1 average across 2 concepts

Largest positive factorTarget-market demand

1.3 points average among 13 affected concepts

Largest negative factorTerritory quality

0.5 points average reduction among 14 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

Executive conclusion

What the ranking means for New Haven, Connecticut

Our New Haven, Connecticut 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, HomeSmiles, and Pillar To Post Home Inspectors produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 13 concepts and added 1.3 points on average among them. Territory quality was the broadest negative pressure, reducing the 14 exposed concepts by 0.5 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.

How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.

Best franchise opportunities assessed

Top 10 local-alignment scores from 14 concepts assessed

“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.

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

Rank	Franchise	Alignment and tier	Largest advantage	Largest constraint	Evidence confidence
1	City WideFacility management	72.8Tier 2 · Favorable modeled alignment	+3.3 ptsTarget-market demand	-0.4 ptsLabor and staffing friction	Moderate evidence confidence
2	HomeSmilesProperty maintenance services	71.2Tier 3 · Mixed modeled alignment	+2.2 ptsTarget-market demand	-0.5 ptsLabor and staffing friction	Moderate evidence confidence
3	Pillar To Post Home InspectorsHome inspection	71.1Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-0.4 ptsTerritory quality	Moderate evidence confidence
4	Mr. RooterPlumbing	70.9Tier 3 · Mixed modeled alignment	+0.9 ptsTarget-market demand	-0.5 ptsTerritory quality	Moderate evidence confidence
5	Aire ServHVAC installation, repair, and maintenance	70.8Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-0.5 ptsTerritory quality	Moderate evidence confidence
6	Mister Sparky ElectricElectrical	70.8Tier 3 · Mixed modeled alignment	+0.9 ptsTarget-market demand	-0.5 ptsTerritory quality	Moderate evidence confidence
7	FASTSIGNSSigns and graphics	70.8Tier 3 · Mixed modeled alignment	+1.4 ptsTarget-market demand	-0.6 ptsTerritory quality	Moderate evidence confidence
8	ZOOM DRAINDrain and sewer service	70.8Tier 3 · Mixed modeled alignment	+0.8 ptsTarget-market demand	-0.6 ptsTerritory quality	Moderate evidence confidence
9	ActionCOACHBusiness coaching	70.5Tier 3 · Mixed modeled alignment	+0.7 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
10	Jan-Pro InternationalCommercial cleaning	70.1Tier 3 · Mixed modeled alignment	+2.4 ptsTarget-market demand	-1.9 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: ^[4] ^[5] ^[6] ^[7] ^[8] ^[12] ^[1]Property replacement-cycle demand: ^[22] ^[28] ^[29] ^[1]Competitive environment: ^[4] ^[3] ^[7] ^[12]Labor and staffing friction: ^[10] ^[9] ^[8] ^[11] ^[2]Transportation, routing, and parking: ^[16] ^[17] ^[18] ^[19] ^[2] ^[3]Real estate and site feasibility: ^[20] ^[21] ^[27] ^[26] ^[28] ^[30] ^[1]Sales and customer acquisition: ^[13] ^[14] ^[15] ^[25] ^[3]Referral ecosystem: ^[7] ^[8] ^[12] ^[13] ^[14] ^[15]Territory quality: ^[20] ^[16] ^[18] ^[19] ^[4] ^[3]Regulatory and operating friction: ^[25] ^[23] ^[24] ^[27] ^[26] ^[28] ^[30] ^[2] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction	Territory quality
#1 City Wide	+3.3 pts	—	-0.4 pts	-0.1 pts
#2 HomeSmiles	+2.2 pts	—	-0.5 pts	-0.5 pts
#3 Pillar To Post Home Inspectors	+1.3 pts	+0.2 pts	—	-0.4 pts
#4 Mr. Rooter	+0.9 pts	+0.5 pts	—	-0.5 pts
#5 Aire Serv	+1.0 pts	+0.5 pts	-0.2 pts	-0.5 pts
#6 Mister Sparky Electric	+0.9 pts	+0.5 pts	—	-0.5 pts
#7 FASTSIGNS	+1.4 pts	—	—	-0.6 pts
#8 ZOOM DRAIN	+0.8 pts	+0.5 pts	—	-0.6 pts
#9 ActionCOACH	+0.7 pts	—	-0.1 pts	-0.1 pts
#10 Jan-Pro International	+2.4 pts	—	-1.9 pts	-0.4 pts
#11 Tiger Adjusters	+0.3 pts	—	-0.1 pts	-0.3 pts
#12 Rainbow International Restoration	+0.4 pts	+0.4 pts	-1.1 pts	-0.5 pts
#13 PuroClean	—	+0.4 pts	-0.9 pts	-0.5 pts
#14 Workout Anytime	+0.7 pts	—	-1.0 pts	-1.0 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 WideHighly sensitive · tested #1–#8

#2 HomeSmilesHighly sensitive · tested #2–#10

#3 Pillar To Post Home InspectorsModerately sensitive · tested #3–#5

#4 Mr. RooterHighly sensitive · tested #1–#6

#5 Aire ServHighly sensitive · tested #4–#8

#6 Mister Sparky ElectricHighly sensitive · tested #3–#7

#7 FASTSIGNSHighly sensitive · tested #4–#9

#8 ZOOM DRAINHighly sensitive · tested #2–#9

#9 ActionCOACHHighly sensitive · tested #5–#10

#10 Jan-Pro InternationalHighly sensitive · tested #2–#14

#11 Tiger AdjustersHighly sensitive · tested #7–#12

#12 Rainbow International RestorationStable · tested #11–#12

#13 PuroCleanModerately sensitive · tested #11–#14

#14 Workout AnytimeStable · tested #13–#14

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

Worked score example

How we calculated City Wide

This example uses the same ledger shown for every concept and must reconcile exactly to the published score.

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+3.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	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 included in the score
Territory quality	-0.1
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.

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, HomeSmiles, Pillar To Post Home Inspectors led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to territory quality. 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 City Wide, HomeSmiles, Mr. Rooter; 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 environment57Positive 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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. HomeSmiles moved from #2 to #11, the largest movement among concepts directly affected by this factor.

Concepts adjusted13 of 14

Average among affected+1.3 pts

Average across all concepts+1.2 pts

Concepts changing rank12

Concepts helped most

City WideFacility management

+3.3 pts

Jan-Pro InternationalCommercial cleaning

+2.4 pts

HomeSmilesProperty maintenance services

+2.2 pts

FASTSIGNSSigns and graphics

+1.4 pts

Pillar To Post Home InspectorsHome inspection

+1.3 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
Referral ecosystemNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in New Haven, Connecticut

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 69.0 to 69.3. Rainbow International Restoration ranked highest at 69.3. Property replacement-cycle demand added 0.4 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1 point on average.

Interpret cautiously: A 0.3-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared: 2
Score range: 69.0–69.3
Category average: 69.1

Rainbow International Restoration69.3

PuroClean69.0

Compare all assessed concepts

Explore the complete score calculations

14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.

SearchCategoryLargest impactSort

#1Tier 2 · Favorable modeled alignment72.8

City Wide

Facility management · B2B facility management and vendor coordination

Increase +3.3 pts Target-market demandReduction -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	+3.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.4
Transportation, routing, and parking	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 included in the score
Territory quality	-0.1
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: Strong
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Strong
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +3.3 pts
Tested rank range: #1–#8

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 3 · Mixed modeled alignment71.2

HomeSmiles

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

Increase +2.2 pts Target-market demandReduction -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	+2.2
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	Not included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.21
Published local-market alignment	71.2

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

Largest absolute effect: Target-market demand +2.2 pts
Tested rank range: #2–#10

Most important next check

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

#3Tier 3 · Mixed modeled alignment71.1

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +1.3 pts Target-market demandReduction -0.4 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+1.3
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
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 included in the score
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.13
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: Strong
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Strong
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.3 pts
Tested rank range: #3–#5

Most important next check

Which transaction segments and property types are expected to generate the most inspection demand for Pillar To Post Home Inspectors?

#4Tier 3 · Mixed modeled alignment70.9

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.9 pts Target-market demandReduction -0.5 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.9
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
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 included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.93
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: Strong
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Strong
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #1–#6

Most important next check

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

#5Tier 3 · Mixed modeled alignment70.8

Aire Serv

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

Increase +1.0 pts Target-market demandReduction -0.5 pts Territory quality

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	+1.0
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	-0.2
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 included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.85
Published local-market alignment	70.8

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

Largest absolute effect: Target-market demand +1.0 pts
Tested rank range: #4–#8

Most important next check

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

#6Tier 3 · Mixed modeled alignment70.8

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.9 pts Target-market demandReduction -0.5 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+0.9
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
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 included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.83
Published local-market alignment	70.8

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

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #3–#7

Most important next check

What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?

#7Tier 3 · Mixed modeled alignment70.8

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.4 pts Target-market demandReduction -0.6 pts Territory quality

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	+1.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
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 included in the score
Territory quality	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.82
Published local-market alignment	70.8

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

Largest absolute effect: Target-market demand +1.4 pts
Tested rank range: #4–#9

Most important next check

Which use, storage, ventilation, or permit requirements apply to FASTSIGNS's proposed production or service base?

#8Tier 3 · Mixed modeled alignment70.8

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.8 pts Target-market demandReduction -0.6 pts Territory quality

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	+0.8
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
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 included in the score
Territory quality	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.79
Published local-market alignment	70.8

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

Largest absolute effect: Target-market demand +0.8 pts
Tested rank range: #2–#9

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 alignment70.5

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.7 pts Target-market demandReduction -0.1 pts Territory quality

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	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.1
Transportation, routing, and parking	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 included in the score
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.49
Published local-market alignment	70.5

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.7 pts
Tested rank range: #5–#10

Most important next check

What mix of outbound prospecting, professional referrals, and system-generated leads is assumed for ActionCOACH's local client pipeline?

#10Tier 3 · Mixed modeled alignment70.1

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.4 pts Target-market demandReduction -1.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	+2.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.9
Transportation, routing, and parking	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 included in the score
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.13
Published local-market alignment	70.1

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

Largest absolute effect: Target-market demand +2.4 pts
Tested rank range: #2–#14

Most important next check

What opening staffing ratio, wage range, and retention plan does Jan-Pro International assume for frontline roles?

#11Tier 3 · Mixed modeled alignment69.9

Tiger Adjusters

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

Increase +0.3 pts Target-market demandReduction -0.3 pts Territory quality

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	-0.1
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 included in the score
Territory quality	-0.3
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.91
Published local-market alignment	69.9

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.3 pts
Tested rank range: #7–#12

Most important next check

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

#12Tier 3 · Mixed modeled alignment69.3

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Target-market demandReduction -1.1 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	+0.4
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-1.1
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 included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.25
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: Strong
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Strong
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -1.1 pts
Tested rank range: #11–#12

Most important next check

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

#13Tier 3 · Mixed modeled alignment69.0

PuroClean

Restoration · emergency property restoration

Increase +0.4 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-0.9
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	Not included in the score
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	68.99
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: Strong
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Strong
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.9 pts
Tested rank range: #11–#14

Most important next check

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

#14Tier 3 · Mixed modeled alignment68.6

Workout Anytime

Fitness · fixed-location membership fitness

Increase +0.7 pts Target-market demandReduction -1.0 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	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-1.0
Transportation, routing, and parking	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 included in the score
Territory quality	-1.0
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	68.62
Published local-market alignment	68.6

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

Largest absolute effect: Labor and staffing friction -1.0 pts
Tested rank range: #13–#14

Most important next check

Which zoning, occupancy, and permit requirements must be cleared before Workout Anytime approves a customer-facing site?

Metric registry

The 27 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	138,774people	July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic receipts	New Haven, Connecticut	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	3.6percent	July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic receipts	New Haven, Connecticut	Evidence for Target-market demand	^[4]
Households in the 2020-2024 Census reporting period	54,773households	July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic receipts	New Haven, Connecticut	Evidence for Target-market demand, Territory quality	^[4]
More than 1,500 new housing units came online during 2025	1,500housing units minimum	Housing delivered in 2025 and development pipeline discussed in 2026 address	New Haven, Connecticut	Evidence for Target-market demand, Territory quality	^[5] ^[6]
Yale University student count	15,657students	2025 unless otherwise specified	Yale University, New Haven	Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem	^[7]
Yale employment scale and local employee residence	approximate total employees: 14,000; employees residing in new haven approximate: 6,000structured employment metrics	Current institutional and New Haven community figures accessed August 2026	Yale University, New Haven	Evidence for Target-market demand, Labor and staffing friction, Sales and customer acquisition, Referral ecosystem	^[8] ^[9]
Yale New Haven Hospital employment and facility scale	employees more than: 12,000; beds: 1,541; physicians and advanced practitioners more than: 4,500structured institution metrics	Current hospital overview accessed August 2026	Yale New Haven Hospital, New Haven	Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem	^[12]
Health care and social assistance receipts reported by Census QuickFacts for 2022	3,400,426,000USD	July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic receipts	New Haven, Connecticut	Evidence for Target-market demand	^[4]
Yale frontline, service, and clerical wage schedules overlap with franchise labor pools	employer: Yale University; cited roles: role: Security grade S2 new hire, hourly rate usd: 23.6, role: Clerical and Technical grade A, hourly rate usd: 22.58, role: Service and Maintenance grade 1 new hire, hourly rate usd: 22.67; connecticut minimum wage usd per hour: 16.94; affected franchise labor attributes: frontline hourly labor, administrative labor, high opening headcount, high turnover exposure; occupational overlap confidence: moderate; limitations: Yale compensation does not establish the market-clearing wage for every franchise; overlap is strongest for service, security, and clerical hiring.structured wage comparison	Hourly rates effective January 18, 2026	Yale University and Connecticut wage floor	Evidence for Labor and staffing friction	^[10] ^[11] ^[9]
ACS-derived housing profile indicates an old, multifamily-heavy housing stock	housing units: 61,203; median year structure built: 1,950; multi unit share percent: 71.09structured housing stock metrics	Current profile based on ACS 5-year estimates accessed August 2026	New Haven, Connecticut	Evidence for Property replacement-cycle demand, Target-market demand	^[22]
New Haven office market vacancy and asking rent at midyear 2026	overall vacancy percent: 16.5; asking rent usd psf: 23.55; ytd net absorption sqft: 56,884; ytd leasing activity sqft: 129,784structured office market metrics	Q2 2026 and 2026 year-to-date	New Haven office market	Evidence for Real estate and site feasibility, Territory quality	^[20]
Reported New Haven office submarkets show materially different vacancy and asking-rent conditions	new haven cbd: vacancy percent: 9.9, asking rent usd psf: 25.66; new haven periphery: vacancy percent: 18.1, asking rent usd psf: 26.92; western new haven: vacancy percent: 30.7, asking rent usd psf: 20.73; eastern new haven: vacancy percent: 12.1, asking rent usd psf: 24.61; northern new haven: vacancy percent: 16.2, asking rent usd psf: 22.35structured submarket metrics	Q2 2026 and 2026 year-to-date	New Haven office market submarkets	Evidence for Territory quality, Real estate and site feasibility	^[20]
Central Connecticut industrial vacancy rate in Q2 2026	4.5percent vacancy	Q2 2026	Central Connecticut industrial market	Evidence for Real estate and site feasibility	^[21]
Certain New Haven streets require residential parking permits and remain subject to sweeping and snow restrictions	permit required on designated streets: yes; unpermitted parking fine usd: 35structured parking rule	Current residential parking district rules accessed August 2026	Residential parking districts in New Haven	Evidence for Transportation, routing, and parking, Territory quality	^[16]
Declared snow emergencies can impose downtown, snow-route, and residential parking bans	city roadway miles: 234; downtown and posted routes: parking prohibited on both sides during declared ban; residential areas: parking permitted only on even side during declared banstructured snow emergency rule	Current snow-emergency and parking-ban rules accessed August 2026	New Haven, Connecticut	Evidence for Transportation, routing, and parking	^[17]
Chapel Street between College Street and York Street converted from one-way to two-way traffic in April 2026	converted to two way: yes; commercial loading zones added: yes; most on street parking retained: yesstructured corridor change	Conversion beginning week of April 20, 2026	Chapel Street between College Street and York Street	Evidence for Transportation, routing, and parking, Territory quality	^[18]
Downtown Crossing Phase III is complete and Phase IV is in planning	phase iii status: complete; phase iv status: planning initiatedstructured project status	Project status accessed August 2026	Downtown Crossing / Route 34 corridor, New Haven	Evidence for Transportation, routing, and parking, Territory quality	^[19]
New Haven has three local historic districts administered by the Historic District Commission	Wooster Square Local Historic District, Quinnipiac River Local Historic District, City Point Local Historic Districtdistrict names	Current local historic districts accessed August 2026	New Haven, Connecticut	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[23]
Exterior alterations in a local historic district require a Certificate of Appropriateness under Connecticut law	certificate required for exterior architectural alteration: yesstructured regulatory rule	Current statute accessed August 2026	New Haven local historic districts	Evidence for Regulatory and operating friction	^[24] ^[23]
New Haven sign standards apply to new or renovated signage, changes of use, and signage tied to site-plan applications	new or renovated signage: yes; change of use: yes; site plan associated signage: yes; rules vary by zoning district and sign type: yesstructured regulatory rule	Codified through Ordinance No. 2026-0003; online content updated June 18, 2026	New Haven, Connecticut	Evidence for Regulatory and operating friction, Sales and customer acquisition	^[25]
Selected City Plan application fees for fiscal year 2025-2026	planned development district application usd: 3,700; detailed plan usd: 540; historic certificate of appropriateness usd: 250; flood plain development or variance usd: 500structured fee schedule	Fiscal Year 2025-2026	New Haven, Connecticut	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[26]
New Haven site-plan review level depends on project size and type	city plan commission residential net new units minimum: 3; city plan commission new construction or change use sqft minimum: 5,000; city plan commission parking spaces minimum: 10; drive up service window: City Plan Commission reviewstructured regulatory thresholds	Current review thresholds accessed August 2026	New Haven, Connecticut	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[27]
New Haven participates in the NFIP and FEMA Community Rating System and reports a 15 percent flood-insurance discount for residents	nfip participant: yes; community rating system discount percent: 15structured flood program metrics	Current NFIP and CRS information accessed August 2026	New Haven, Connecticut	Evidence for Property replacement-cycle demand, Real estate and site feasibility, Regulatory and operating friction	^[28]
Connecticut adopted a Long Island Sound sea-level-change planning scenario of 0.5 meters by 2050	sea level change meters: 0.5; sea level change feet inches: 1 foot 8 inches; horizon year: 2,050structured climate scenario	Adopted Connecticut planning scenario for Long Island Sound through 2050	Long Island Sound, including New Haven coast	Evidence for Property replacement-cycle demand, Real estate and site feasibility, Regulatory and operating friction	^[29]
Yale supplier onboarding requires invitation, registration, documentation, review, and active supplier status	supplier gateway required: yes; business justification before invitation: yes; documentation and central review required: yesstructured procurement rule	Revision effective May 14, 2026	Yale University procurement	Evidence for Sales and customer acquisition, Referral ecosystem	^[13]
YNHHS prospective vendors register through its vendor portal and SupplierGATEWAY; contract vendors need credentialing for onsite visits	vendor registration required for consideration: yes; suppliergateway used: yes; onsite vendor credentialing after award: yesstructured procurement rule	Current vendor process accessed August 2026	Yale New Haven Health System procurement	Evidence for Sales and customer acquisition, Referral ecosystem	^[14]
City purchasing requirements escalate with purchase size	up to 5000 usd: purchase order; no three-quote requirement; 5001 to 24999 usd: three competitive quotes; COI for services; over 25000 usd: formal sealed ITB or RFPstructured procurement rule	Current procurement thresholds accessed August 2026	City of New Haven procurement	Evidence for Sales and customer acquisition, Referral ecosystem	^[15]

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 8, 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 7, 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
Strategic Utility Delta Audit: Structural Inefficiencies and CRE Arbitrage Across Local U.S. MarketsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Research cited as accessed through February 24, 2026
Scope
New Haven section within a multi-city research docket
Locator
New Haven, Connecticut section and cited-source list
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
2
Forensic Audit of Municipal Structural Constraints and Deal-Killer LiabilitiesInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Research cited as accessed through February 19, 2026
Scope
New Haven section within a multi-city research docket
Locator
New Haven, Connecticut section, subsections A-F and works cited
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
3
Franchise data - remake - B startInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied neighborhood observations reviewed August 7, 2026
Scope
New Haven neighborhood rows: Wooster Square, Downtown, Westville, Dwight, East Shore, and Newhallville
Locator
Six New Haven rows
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
4
QuickFacts: New Haven city, Connecticut
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 Census reporting period, and Health care and social assistance receipts reported by Census QuickFacts for 2022
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS; 2022 economic receipts
Scope
New Haven, Connecticut
Locator
Population, households, economic receipts, transportation, and income tables
Source tier
Tier 1 - government
Accessed
August 7, 2026
5
2026 State of the City Address
Used for: More than 1,500 new housing units came online during 2025
Publisher
City of New Haven, Office of the Mayor
Published
February 2, 2026
Data period
Housing delivered in 2025 and development pipeline discussed in 2026 address
Scope
New Haven, Connecticut
Locator
Housing section
Source tier
Tier 1 - government
Accessed
August 7, 2026
6
Mayor Elicker and Winchester Partners Cut the Ribbon on The Winston
Used for: More than 1,500 new housing units came online during 2025
Publisher
City of New Haven, Office of the Mayor
Published
March 27, 2026
Data period
2025 citywide housing delivery and March 2026 project opening
Scope
New Haven, Connecticut
Locator
Mayor statement on more than 1,500 units delivered in 2025 and 5,800-unit pipeline
Source tier
Tier 1 - government
Accessed
August 7, 2026
7
Yale Facts
Used for: Yale University student count
Publisher
Yale University
Data period
2025 unless otherwise specified
Scope
Yale University, New Haven
Locator
By the Numbers
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
8
Office of New Haven Affairs
Used for: Yale employment scale and local employee residence
Publisher
Yale University
Data period
Current institutional and New Haven community figures accessed August 2026
Scope
Yale University and New Haven
Locator
Community Building and employment figures
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
9
New Haven Hiring Initiative
Used for: Yale employment scale and local employee residence and Yale frontline, service, and clerical wage schedules overlap with franchise labor pools
Publisher
Yale University
Data period
Current hiring initiative accessed August 2026
Scope
Yale University and New Haven
Locator
Building a Strong New Haven
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
10
Wage Ranges
Used for: Yale frontline, service, and clerical wage schedules overlap with franchise labor pools
Publisher
Yale University
Data period
Hourly rates effective January 18, 2026
Scope
Yale University, New Haven
Locator
Security; Clerical and Technical; Service and Maintenance tables
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
11
Governor Lamont Announces Connecticut's Minimum Wage Will Increase to $16.94 on January 1, 2026
Used for: Yale frontline, service, and clerical wage schedules overlap with franchise labor pools
Publisher
State of Connecticut, Office of the Governor
Published
September 3, 2025
Data period
Effective January 1, 2026
Scope
Connecticut
Locator
Minimum wage effective-date announcement
Source tier
Tier 1 - government
Accessed
August 7, 2026
12
About Yale New Haven Hospital
Used for: Yale New Haven Hospital employment and facility scale
Publisher
Yale New Haven Hospital
Data period
Current hospital overview accessed August 2026
Scope
Yale New Haven Hospital, New Haven
Locator
Hospital Overview and employer description
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
13
3401 PR.01 Supplier Setup and Change
Used for: Yale supplier onboarding requires invitation, registration, documentation, review, and active supplier status
Publisher
Yale University
Published
May 14, 2026
Data period
Revision effective May 14, 2026
Scope
Yale University procurement
Locator
Overview, new supplier invitation, registration, documentation, and review sections
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
14
Vendors
Used for: YNHHS prospective vendors register through its vendor portal and SupplierGATEWAY; contract vendors need credentialing for onsite visits
Publisher
Yale New Haven Health
Data period
Current vendor process accessed August 2026
Scope
Yale New Haven Health System
Locator
Supplier Registration and Current Vendors
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
15
How the City buys goods and services
Used for: City purchasing requirements escalate with purchase size
Publisher
City of New Haven Purchasing Division
Data period
Current procurement thresholds accessed August 2026
Scope
New Haven, Connecticut
Locator
Key Requirements and Purchasing Thresholds
Source tier
Tier 1 - government
Accessed
August 7, 2026
16
Residential Parking
Used for: Certain New Haven streets require residential parking permits and remain subject to sweeping and snow restrictions
Publisher
City of New Haven
Data period
Current residential parking district rules accessed August 2026
Scope
New Haven, Connecticut
Locator
Residential Parking Districts
Source tier
Tier 1 - government
Accessed
August 7, 2026
17
Snow Removal
Used for: Declared snow emergencies can impose downtown, snow-route, and residential parking bans
Publisher
City of New Haven Department of Public Works
Data period
Current snow-emergency and parking-ban rules accessed August 2026
Scope
New Haven, Connecticut
Locator
Snow emergency parking rules
Source tier
Tier 1 - government
Accessed
August 7, 2026
18
Chapel Street to Convert to Two-Way Traffic Between College Street and York Street
Used for: Chapel Street between College Street and York Street converted from one-way to two-way traffic in April 2026
Publisher
City of New Haven
Published
April 13, 2026
Data period
Conversion beginning week of April 20, 2026
Scope
Chapel Street between College Street and York Street, New Haven
Locator
Traffic conversion and parking/loading description
Source tier
Tier 1 - government
Accessed
August 7, 2026
19
Downtown Crossing
Used for: Downtown Crossing Phase III is complete and Phase IV is in planning
Publisher
City of New Haven City Plan Department
Data period
Project status accessed August 2026
Scope
Downtown New Haven and Route 34 corridor
Locator
Current status: Phase III complete and Phase IV planning initiated
Source tier
Tier 1 - government
Accessed
August 7, 2026
20
New Haven Office MarketBeat Q2 2026
Used for: New Haven office market vacancy and asking rent at midyear 2026 and Reported New Haven office submarkets show materially different vacancy and asking-rent conditions
Publisher
Cushman & Wakefield
Published
July 24, 2026
Data period
Q2 2026 and 2026 year-to-date
Scope
New Haven office market and reported submarkets
Locator
Market Fundamentals, Supply, Pricing, and Market Statistics
Source tier
Tier 3 - credible industry
Accessed
August 7, 2026
21
Q2 2026 Central Connecticut Industrial Report
Used for: Central Connecticut industrial vacancy rate in Q2 2026
Publisher
Cushman & Wakefield
Published
July 24, 2026
Data period
Q2 2026
Scope
Central Connecticut industrial market; broader than New Haven city
Locator
Current Marketbeats summary
Source tier
Tier 3 - credible industry
Accessed
August 7, 2026
22
New Haven city, Connecticut - Essential Report
Used for: ACS-derived housing profile indicates an old, multifamily-heavy housing stock
Publisher
Social Explorer
Data period
Current profile based on ACS 5-year estimates accessed August 2026
Scope
New Haven, Connecticut
Locator
Housing: Units and Occupancy; Housing Unit Structure
Source tier
Tier 3 - credible industry
Accessed
August 7, 2026
23
Historic District Commission
Used for: New Haven has three local historic districts administered by the Historic District Commission and Exterior alterations in a local historic district require a Certificate of Appropriateness under Connecticut law
Publisher
City of New Haven
Data period
Current local historic districts accessed August 2026
Scope
New Haven, Connecticut
Locator
Local Historic Districts in New Haven
Source tier
Tier 1 - government
Accessed
August 7, 2026
24
Chapter 97a - Historic Districts and Historic Properties
Used for: Exterior alterations in a local historic district require a Certificate of Appropriateness under Connecticut law
Publisher
Connecticut General Assembly
Data period
Current statute accessed August 2026
Scope
Connecticut local historic districts
Locator
Sec. 7-147d, Certificate of appropriateness
Source tier
Tier 1 - government
Accessed
August 7, 2026
25
New Haven Zoning Ordinance - Section 60.3 Signs
Used for: New Haven sign standards apply to new or renovated signage, changes of use, and signage tied to site-plan applications
Publisher
City of New Haven via Municode
Data period
Codified through Ordinance No. 2026-0003; online content updated June 18, 2026
Scope
New Haven, Connecticut
Locator
Section 60.3 Signs: applicability and permitted sign types
Source tier
Tier 1 - government
Accessed
August 7, 2026
26
Application & Fees - Fiscal Year 2025-2026 Fee Schedule
Used for: Selected City Plan application fees for fiscal year 2025-2026
Publisher
City of New Haven City Plan Department
Data period
Fiscal Year 2025-2026
Scope
New Haven, Connecticut
Locator
PDD, detailed plans, Certificate of Appropriateness, and flood plain development fees
Source tier
Tier 1 - government
Accessed
August 7, 2026
27
Site Plan Review
Used for: New Haven site-plan review level depends on project size and type
Publisher
City of New Haven City Plan Department
Data period
Current review thresholds accessed August 2026
Scope
New Haven, Connecticut
Locator
Project Scope and Type review-threshold table
Source tier
Tier 1 - government
Accessed
August 7, 2026
28
Flood Information
Used for: New Haven participates in the NFIP and FEMA Community Rating System and reports a 15 percent flood-insurance discount for residents
Publisher
City of New Haven City Plan Department
Data period
Current NFIP and CRS information accessed August 2026
Scope
New Haven, Connecticut
Locator
NFIP and Community Rating System information
Source tier
Tier 1 - government
Accessed
August 7, 2026
29
CT Sea Level Rise
Used for: Connecticut adopted a Long Island Sound sea-level-change planning scenario of 0.5 meters by 2050
Publisher
Connecticut Department of Energy and Environmental Protection
Data period
Adopted Connecticut planning scenario for Long Island Sound through 2050
Scope
Connecticut coast and Long Island Sound
Locator
Adopted sea level change scenario
Source tier
Tier 1 - government
Accessed
August 7, 2026
30
GNHWPCA Connection Fee Schedule
Publisher
Greater New Haven Water Pollution Control Authority
Data period
Schedule states effective July 1, 2022; current replacement schedule not established in public review
Scope
GNHWPCA service area including New Haven
Locator
Meter-size connection fee schedule
Source tier
Tier 1 - government
Accessed
August 7, 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 New Haven, Connecticut

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for New Haven, Connecticut

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

Territory quality

Concepts challenged most

Best franchise categories we assessed in New Haven, Connecticut

Best Restoration franchise opportunities we assessed in New Haven, Connecticut

Explore the complete score calculations

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Evidence confidence

Most important next check

Mr. Rooter

Full score ledger

Evidence confidence

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Aire Serv

Full score ledger

Evidence confidence

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Mister Sparky Electric

Full score ledger

Evidence confidence

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FASTSIGNS

Full score ledger

Evidence confidence

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ZOOM DRAIN

Full score ledger

Evidence confidence

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ActionCOACH

Full score ledger

Evidence confidence

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Jan-Pro International

Full score ledger

Evidence confidence

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Tiger Adjusters

Full score ledger

Evidence confidence

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Rainbow International Restoration

Full score ledger

Evidence confidence

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PuroClean

Full score ledger

Evidence confidence

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Workout Anytime

Full score ledger

Evidence confidence

Most important next check

The 27 local metrics behind this analysis

What the model can and cannot establish