70.2 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Hartford, Connecticut
We compared 14 franchise concepts for Hartford, Connecticut. Local business demand was a leading positive mechanism. Winter parking and access pressure was a leading operating constraint.
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.
14Concepts evaluated
25Sources used
16Primary sources
35Local 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
0.9 points average among 11 affected concepts
0.6 points average reduction among 13 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Hartford, Connecticut
City Wide, Jan-Pro International, and ActionCOACH produced the highest modeled local-alignment scores in the evaluated set. Local business demand was the strongest positive scored mechanism among 10 exposed concepts, adding 0.7 points on average. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
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 managementInvestment: $229,729–$410,730 | 72.6Tier 2 · Favorable modeled alignment | +2.7 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 71.6Tier 3 · Mixed modeled alignment | +2.2 ptsTarget-market demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 71.3Tier 3 · Mixed modeled alignment | +1.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.0Tier 3 · Mixed modeled alignment | +1.8 ptsTarget-market demand | -0.8 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.7Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 6 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 70.2Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.7 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | PuroCleanRestorationInvestment: $54,575–$262,145 | 70.2Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.5 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 70.0Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 9 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 69.9Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.3 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 10 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 69.8Tier 3 · Mixed modeled alignment | +1.3 ptsProperty replacement-cycle demand | -0.9 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Hartford, Connecticut
Hartford has a measurable employer-firm base and large institutional and retail activity that support local account demand
This relationship affected 10 concepts and added 0.7 points on average among those exposed. Local evidence: Health care and social assistance receipts/revenue in 2022: 5,682,863,000 usd. [4]
A large share of Hartford occupied housing is old enough to support repair/replacement demand while increasing legacy-system complexity
The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [5]
Declared Hartford snow emergencies prohibit all on-street parking, creating recurring winter parking and access friction
This relationship affected 13 concepts and reduced 0.6 points on average among those exposed. Local evidence: During a declared snow emergency parking ban, all on-street parking is prohibited throughout Hartford and remaining vehicles may be ticketed and towed: yes boolean. [16]
Evidence behind the city mechanisms
Hartford has a measurable employer-firm base and large institutional and retail activity that support local account demand1 modeled effect
Local business demandTarget-market demand
A large share of Hartford occupied housing is old enough to support repair/replacement demand while increasing legacy-system complexity3 local facts · 2 modeled effects · 2 sources
- Share of occupied housing units built before 1950 in the City consolidated-plan table: owner occupied: 59; renter occupied: 44 percent by tenure [5]
- Share of occupied housing units built before 1980 in the City consolidated-plan table: owner occupied: 87; renter occupied: 84 percent by tenure [5]
- City planning guidance describes Hartford as containing extensive late-1800s and early-1900s historic architecture: late 1800s and early 1900s stock present categorical [7]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Hartford-area winter temperature normals straddle the freezing point, supporting recurring cold-weather envelope and repair exposure3 local facts · 2 modeled effects · 2 sources
- 1991-2020 normal winter average maximum and minimum temperatures for the Hartford climate station: average maximum f: 38.1; average minimum f: 21.4 degrees fahrenheit [9]
- Hartford soil series is formed in sandy glacial outwash in the Connecticut River Valley, with mean annual temperature about 50°F and precipitation about 43 inches: parent material: sandy glacial outwash; mean annual temperature f: 50; mean annual precipitation in: 43 mixed [8]
- Normal winter average maximum is above 32°F while the normal average minimum is below 32°F: yes boolean [9]
Freeze-thaw repair demandProperty replacement-cycle demand
Winter route frictionTransportation, routing, and parking
Hartford contains a large hospital and a high-value health-care/social-assistance sector that support institutional service demand3 local facts · 2 modeled effects · 3 sources
- Health care and social assistance receipts/revenue in 2022: 5,682,863,000 usd [4]
- Hartford Hospital FY22 operating scale: licensed beds: 867; employees: 6,725; physicians on staff: 1,842; ed visits: 108,249 mixed [14]
- Hartford HealthCare FY24 system scale: colleagues: 44,000; licensed beds: 2,488; locations: 500 mixed [15]
Healthcare institutional service demandTarget-market demand
Healthcare-overlap labor competitionLabor and staffing friction
Declared Hartford snow emergencies prohibit all on-street parking, creating recurring winter parking and access friction1 modeled effect
Winter parking and access pressureTransportation, routing, and parking
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
#1Tier 2 · Favorable modeled alignment72.6
City Wide
Initial investment: $229,729–$410,730
Increase +2.7 pts Target-market demandReduction -0.1 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.7 pts | |
| Transportation, routing, and parking |
| -0.1 pts |
| Net local movement | +2.56 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 72.56 |
| Published local-market alignment | 72.6 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.7 pts
- Tested rank range
- #1–#5
#2Tier 3 · Mixed modeled alignment71.6
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +2.2 pts Target-market demandReduction -0.6 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +2.2 pts | |
| Transportation, routing, and parking |
| -0.6 pts |
| Net local movement | +1.60 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 71.60 |
| Published local-market alignment | 71.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.2 pts
- Tested rank range
- #2–#10
#3Tier 3 · Mixed modeled alignment71.3
ActionCOACH
Initial investment: $71,668–$303,513
Increase +1.3 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.3 pts | |
| Net local movement | +1.28 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | Not applicable to this operating model |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 71.28 |
| Published local-market alignment | 71.3 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.3 pts
- Tested rank range
- #3–#4
#4Tier 3 · Mixed modeled alignment71.0
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +1.8 pts Target-market demandReduction -0.8 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.8 pts | |
| Transportation, routing, and parking |
| -0.8 pts |
| Net local movement | +0.98 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Public company data assessed
3 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.8 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.98 |
| Published local-market alignment | 71.0 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #3–#11
#5Tier 3 · Mixed modeled alignment70.7
HomeSmiles
Initial investment: $148,110–$201,800
Increase +1.2 pts Target-market demandReduction -0.5 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand | +1.2 pts | |
| Transportation, routing, and parking |
| -0.5 pts |
| Net local movement | +0.69 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.69 |
| Published local-market alignment | 70.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #5–#9
#6Tier 3 · Mixed modeled alignment70.2
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +1.0 pts Property replacement-cycle demandReduction -0.7 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.0 pts | |
| Transportation, routing, and parking |
| -0.7 pts |
| Labor and staffing friction |
| -0.4 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | +0.20 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.0 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.20 |
| Published local-market alignment | 70.2 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #2–#9
#7Tier 3 · Mixed modeled alignment70.2
PuroClean
Initial investment: $54,575–$262,145
Increase +1.0 pts Property replacement-cycle demandReduction -0.5 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.0 pts | |
| Transportation, routing, and parking |
| -0.5 pts |
| Labor and staffing friction |
| -0.4 pts |
| Net local movement | +0.16 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | -0.4 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.16 |
| Published local-market alignment | 70.2 |
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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #1–#10
#8Tier 3 · Mixed modeled alignment70.0
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.6 pts Property replacement-cycle demandReduction -0.6 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +0.6 pts | |
| Transportation, routing, and parking |
| -0.6 pts |
| Labor and staffing friction |
| -0.1 pts |
| Target-market demand |
| +0.1 pts |
| Net local movement | 0.00 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.1 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #4–#11
#9Tier 3 · Mixed modeled alignment69.9
Tiger Adjusters
Initial investment: $43,050–$159,500
Increase +0.2 pts Target-market demandReduction -0.3 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -0.3 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.15 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.85 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.3 pts
- Tested rank range
- #6–#13
#10Tier 3 · Mixed modeled alignment69.8
Aire Serv
Initial investment: $113,308–$271,708
Increase +1.3 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand | +1.3 pts | |
| Labor and staffing friction |
| -0.9 pts |
| Transportation, routing, and parking |
| -0.8 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.21 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
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 | +1.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.79 |
| Published local-market alignment | 69.8 |
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
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.3 pts
- Tested rank range
- #6–#12
#11Tier 3 · Mixed modeled alignment69.6
Workout Anytime
Initial investment: $1,060,850–$1,840,550
No material positive local adjustment identifiedReduction -0.4 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -0.4 pts |
| Net local movement | -0.45 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.55 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.4 pts
- Tested rank range
- #7–#14
#12Tier 3 · Mixed modeled alignment69.4
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -0.9 pts |
| Labor and staffing friction |
| -0.8 pts |
| Property replacement-cycle demand |
| +0.8 pts |
| Target-market demand |
| +0.3 pts |
| Net local movement | -0.60 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.8 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.40 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.9 pts
- Tested rank range
- #9–#13
#13Tier 3 · Mixed modeled alignment69.3
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Transportation, routing, and parking
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -0.9 pts |
| Labor and staffing friction |
| -0.9 pts |
| Property replacement-cycle demand |
| +0.8 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.73 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.9 pts
- Tested rank range
- #10–#14
#14Tier 3 · Mixed modeled alignment69.1
Mister Sparky Electric
Increase +0.8 pts Property replacement-cycle demandReduction -0.9 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.9 pts |
| Property replacement-cycle demand | +0.8 pts | |
| Transportation, routing, and parking |
| -0.8 pts |
| Net local movement | -0.85 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Full calculation and evidence confidence
Audit layer
Full factor ledger
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 | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 69.15 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.9 pts
- Tested rank range
- #12–#14
No franchise concepts match the selected filters.
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 | +2.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Depends on the specific site, territory, or operating condition |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| 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 | 72.56 |
| Published local-market alignment | 72.6 |
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.
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.
Observed model effectPositive local support
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #2 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted11 of 14
Average among affected+0.9 pts
Average across all concepts+0.7 pts
Concepts changing rank11
What we observed
- Health Care And Social Assistance Receipts/revenue In 20225,682,863,000 usd
- Total Retail Sales In 20221,672,703,000 usd
- All Employer Firms, Reference Year 20222,261 employer firms
Concepts helped most
City WideFacility management
+2.7 pts
Jan-Pro InternationalCommercial cleaning
+2.2 pts
FASTSIGNSSigns and graphics
+1.8 pts
ActionCOACHBusiness coaching
+1.3 pts
HomeSmilesProperty maintenance services
+1.2 pts
Observed model effectMixed or model dependent
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 6 concepts changed position. Rainbow International Restoration moved from #6 to #9, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.9 pts
Average across all concepts+0.5 pts
Concepts changing rank6
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+1.3 pts
PuroCleanRestoration
+1.0 pts
Rainbow International RestorationRestoration
+1.0 pts
Mister Sparky ElectricElectrical
+0.8 pts
ZOOM DRAINDrain and sewer service
+0.8 pts
Observed model effectMixed or model dependent
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Aire Serv moved from #10 to #6, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected-0.6 pts
Average across all concepts-0.3 pts
Concepts changing rank8
Concepts challenged most
Mister Sparky ElectricElectrical
-0.9 pts
Aire ServHVAC installation, repair, and maintenance
-0.9 pts
Mr. RooterPlumbing
-0.9 pts
ZOOM DRAINDrain and sewer service
-0.8 pts
PuroCleanRestoration
-0.4 pts
Observed model effectMaterial local friction
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
Why concepts react differently
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Aire Serv moved from #10 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted13 of 14
Average among affected-0.6 pts
Average across all concepts-0.6 pts
Concepts changing rank8
What we observed
- During A Declared Snow Emergency Parking Ban, All On Street Parking Is Prohibited Throughout Hartford And Remaining Vehicles May Be Ticketed And Towedyes boolean
Concepts challenged most
Mr. RooterPlumbing
-0.9 pts
ZOOM DRAINDrain and sewer service
-0.9 pts
Aire ServHVAC installation, repair, and maintenance
-0.8 pts
FASTSIGNSSigns and graphics
-0.8 pts
Mister Sparky ElectricElectrical
-0.8 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Referral ecosystemNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
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–#5
#2 Jan-Pro InternationalHighly sensitive · tested #2–#10
#3 ActionCOACHStable · tested #3–#4
#4 FASTSIGNSHighly sensitive · tested #3–#11
#5 HomeSmilesHighly sensitive · tested #5–#9
#6 Rainbow International RestorationHighly sensitive · tested #2–#9
#7 PuroCleanHighly sensitive · tested #1–#10
#8 Pillar To Post Home InspectorsHighly sensitive · tested #4–#11
#9 Tiger AdjustersHighly sensitive · tested #6–#13
#10 Aire ServHighly sensitive · tested #6–#12
#11 Workout AnytimeHighly sensitive · tested #7–#14
#12 ZOOM DRAINHighly sensitive · tested #9–#13
#13 Mr. RooterHighly sensitive · tested #10–#14
#14 Mister Sparky ElectricModerately sensitive · tested #12–#14
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
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.
Primary source records by factorTarget-market demand: [4] [14] [15] [12] [11] [3] [1]Property replacement-cycle demand: [5] [6] [7] [9] [8] [1]Competitive environment: [4] [3]Labor and staffing friction: [13] [14] [15] [5] [2] [1]Transportation, routing, and parking: [16] [9] [23] [3]Real estate and site feasibility: [10] [11] [12] [22] [18] [19] [20] [1]Sales and customer acquisition: [4] [24] [25] [3]Referral ecosystem: [14] [15] [24] [25] [4]Territory quality: [12] [10] [11] [3] [20] [19]Regulatory and operating friction: [17] [18] [19] [20] [21] [22] [2] [3]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking |
|---|---|---|---|---|
| #1 City Wide | +2.7 pts | — | — | -0.1 pts |
| #2 Jan-Pro International | +2.2 pts | — | — | -0.6 pts |
| #3 ActionCOACH | +1.3 pts | — | — | — |
| #4 FASTSIGNS | +1.8 pts | — | — | -0.8 pts |
| #5 HomeSmiles | +1.2 pts | — | — | -0.5 pts |
| #6 Rainbow International Restoration | +0.2 pts | +1.0 pts | -0.4 pts | -0.7 pts |
| #7 PuroClean | — | +1.0 pts | -0.4 pts | -0.5 pts |
| #8 Pillar To Post Home Inspectors | +0.1 pts | +0.6 pts | -0.1 pts | -0.6 pts |
| #9 Tiger Adjusters | +0.2 pts | — | — | -0.3 pts |
| #10 Aire Serv | +0.2 pts | +1.3 pts | -0.9 pts | -0.8 pts |
| #11 Workout Anytime | — | — | — | -0.4 pts |
| #12 ZOOM DRAIN | +0.3 pts | +0.8 pts | -0.8 pts | -0.9 pts |
| #13 Mr. Rooter | +0.2 pts | +0.8 pts | -0.9 pts | -0.9 pts |
| #14 Mister Sparky Electric | — | +0.8 pts | -0.9 pts | -0.8 pts |
Interpretation
How to interpret the result
City Wide, Jan-Pro International, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to transportation, routing, and parking. 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, Jan-Pro International, FASTSIGNS; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Hartford, Connecticut
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
70.2Best Restoration franchise opportunities we assessed in Hartford, Connecticut
2 Restoration concepts qualified for comparison, with scores ranging from 70.2 to 70.2. Rainbow International Restoration ranked highest at 70.2. Property replacement-cycle demand added 1 point on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 0.6 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
- 70.2–70.2
- Category average
- 70.2
Rainbow International Restoration70.2
PuroClean70.2
Metric registry
The 35 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 121,981people | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Context only | [4] |
| Estimated households, 2020-2024 | 49,028households | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Context only | [4] |
| Owner-occupied housing unit rate, 2020-2024 | 25.7percent | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Context only | [4] |
| Median household income in 2024 dollars, 2020-2024 | 46,411usd per household | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Context only | [4] |
| Health care and social assistance receipts/revenue in 2022 | 5,682,863,000usd | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Used in scoring | [4] |
| All employer firms, reference year 2022 | 2,261employer firms | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Used in scoring | [4] |
| Total retail sales in 2022 | 1,672,703,000usd | July 1, 2025 population estimate; 2020-2024 ACS housing/income; 2022 Economic Census business receipts/firms | Hartford, Connecticut | Used in scoring | [4] |
| Share of occupied housing units built before 1950 in the City consolidated-plan table | owner occupied: 59; renter occupied: 44percent by tenure | Housing age and condition tables use 2011-2015 CHAS/ACS data | Hartford, Connecticut | Supports modeled relationship | [5] |
| Share of occupied housing units built before 1980 in the City consolidated-plan table | owner occupied: 87; renter occupied: 84percent by tenure | Housing age and condition tables use 2011-2015 CHAS/ACS data | Hartford, Connecticut | Supports modeled relationship | [5] |
| City planning guidance describes Hartford as containing extensive late-1800s and early-1900s historic architecture | late 1800s and early 1900s stock presentcategorical | Current guidance accessed August 7, 2026 | Hartford, Connecticut | Supports modeled relationship | [7] |
| 1991-2020 normal winter average maximum and minimum temperatures for the Hartford climate station | average maximum f: 38.1; average minimum f: 21.4degrees fahrenheit | Winter 2025-2026 observations with 1991-2020 normals | Hartford-area climate station (BDL) | Supports modeled relationship | [9] |
| Normal winter average maximum is above 32°F while the normal average minimum is below 32°F | yesboolean | Winter 2025-2026 observations with 1991-2020 normals | Hartford-area climate station (BDL) | Supports modeled relationship | [9] |
| Hartford soil series is formed in sandy glacial outwash in the Connecticut River Valley, with mean annual temperature about 50°F and precipitation about 43 inches | parent material: sandy glacial outwash; mean annual temperature f: 50; mean annual precipitation in: 43mixed | Hartford soil series description | Connecticut River Valley area of Connecticut | Supports modeled relationship | [8] |
| Hartford Hospital FY22 operating scale | licensed beds: 867; employees: 6,725; physicians on staff: 1,842; ed visits: 108,249mixed | FY 2022 | Hartford Hospital, Hartford, Connecticut | Used in scoring | [14] |
| Hartford HealthCare FY24 system scale | colleagues: 44,000; licensed beds: 2,488; locations: 500mixed | FY 2024 | Hartford HealthCare system; Hartford headquarters | Supports modeled relationship | [15] |
| Connecticut minimum wage effective January 1, 2026 | 16.94usd per hour | Effective January 1, 2026 | Connecticut | Context only | [13] |
| CBRE Hartford industrial vacancy rate in Q2 2026 | 7.3percent | Q2 2026 | Hartford industrial market as defined by CBRE | Conditional relationship | [10] |
| CBRE Hartford industrial net absorption in Q2 2026 | -992,000square feet | Q2 2026 | Hartford industrial market as defined by CBRE | Context only | [10] |
| Cushman & Wakefield Central Connecticut industrial vacancy rate in Q2 2026 | 4.5percent | Q2 2026 | Central Connecticut industrial market | Conditional relationship | [11] |
| Hartford office new demand in Q2 2026 | 232,000square feet | Q2 2026 | Hartford office market as defined by Cushman & Wakefield | Conditional relationship | [11] |
| Hartford Central Business District office vacancy at year-end 2025 | 31.9percent | Q4 2025 office market statistics | Hartford Central Business District | Conditional relationship | [12] |
| Hartford non-CBD office vacancy at year-end 2025 | 5.7percent | Q4 2025 office market statistics | Hartford non-CBD | Conditional relationship | [12] |
| Greater Hartford overall office vacancy at year-end 2025 | 20.4percent | Q4 2025 office market statistics | Greater Hartford | Conditional relationship | [12] |
| Downtown Hartford office demand increased more than 75% year over year in 2025 despite elevated vacancy | more than 75 percent year over yearcategorical numeric bound | Q4 2025 office market statistics | Downtown Hartford | Conditional relationship | [12] |
| During a declared snow emergency parking ban, all on-street parking is prohibited throughout Hartford and remaining vehicles may be ticketed and towed | yesboolean | Current policy accessed August 7, 2026; 2026 ban documented on city site | Hartford, Connecticut | Used in scoring | [16] |
| Hartford zoning prohibits listed sign forms including animated or moving signs, vehicles as signs, portable or wheeled signs, inflatables/balloons, and off-site advertising | animated or moving, vehicle as sign, portable or wheeled, inflatable or balloon, off site advertisingprohibited sign categories | Current zoning and application guidance accessed August 7, 2026 | Hartford, Connecticut | Conditional relationship | [17] |
| Administrative planning/zoning reviews may take up to 35 days depending on request type | 35days maximum guidance | Current zoning and application guidance accessed August 7, 2026 | Hartford, Connecticut | Conditional relationship | [17] |
| Historic review and approval is required before building or demolition permits for properties in Local, State, or National Historic Districts or containing a Historic Landmark | yesboolean | Current historic-review guidance accessed August 7, 2026 | Covered historic properties in Hartford | Conditional relationship | [18] |
| Inland Wetlands and Watercourses permit is required for work in a wetland/watercourse or within the 100-foot upland review area of a wetland, watercourse, or floodplain | 100feet review area | Current wetlands guidance accessed August 7, 2026 | Covered Hartford sites | Context only | [19] |
| A specific Hartford Connecticut River levee project site is within FEMA Special Flood Hazard Area Zone AE with more than 1% annual flood chance | yesboolean | Current public notice accessed August 7, 2026 | Connecticut River levee project area in Hartford | Context only | [20] |
| MDC Clean Water Project Charge for 2026 | 4.87usd per ccf | 2026 rates | MDC member-town customers including Hartford | Context only | [21] |
| MDC availability/capacity analysis process for new or modified water/sewer services takes approximately 6-8 weeks after payment | minimum weeks: 6; maximum weeks: 8weeks | Current process accessed August 7, 2026 | MDC service area; combined sewer/storm-drain connections specifically include Hartford | Context only | [22] |
| MDC large-diameter sewer rehabilitation is active in Central Row, Main Street, and Market Street area after beginning November 4, 2025 | temporary activecategorical | Current project information in 2026; work began November 4, 2025 | Downtown Hartford | Context only | [23] |
| City of Hartford uses a vendor portal for open bid opportunities and vendor notifications | yesboolean | Current procurement opportunities accessed August 7, 2026 | Hartford municipal procurement | Context only | [24] |
| Connecticut DAS provides state contracting opportunities and supplier resources and operates from Hartford | yesboolean | Current state procurement resources accessed August 7, 2026 | Connecticut state procurement with DAS operations in Hartford | Context only | [25] |
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.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 72.56 after target-market demand +2.7 pts and transportation, routing, and parking -0.1 pts. The current model caps total local movement at ±18.0 points. The score 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 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 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
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.
- 1Supplied multi-city structural franchise research docket (I 52.docx)Internal or supplied research; not publicly accessible.
- 2Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - Combine2 (1)(20260807-121951).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Hartford city, Connecticut
Used for: Resident population estimate on July 1, 2025, Estimated households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, Median household income in 2024 dollars, 2020-2024, and Health care and social assistance receipts/revenue in 2022
- 5Draft FY 2020-2024 Five Year Consolidated Plan - Hartford
Used for: Share of occupied housing units built before 1950 in the City consolidated-plan table and Share of occupied housing units built before 1980 in the City consolidated-plan table
- 6
- 7Planning & Zoning - Historic Preservation
Used for: City planning guidance describes Hartford as containing extensive late-1800s and early-1900s historic architecture
- 8Official Series Description - HARTFORD Series
Used for: Hartford soil series is formed in sandy glacial outwash in the Connecticut River Valley, with mean annual temperature about 50°F and precipitation about 43 inches
- 9Hartford CT Climate Summary for Winter 2025-2026
Used for: 1991-2020 normal winter average maximum and minimum temperatures for the Hartford climate station and Normal winter average maximum is above 32°F while the normal average minimum is below 32°F
- 10Hartford Industrial Figures Q2 2026
Used for: CBRE Hartford industrial vacancy rate in Q2 2026 and CBRE Hartford industrial net absorption in Q2 2026
- 11Hartford/New Haven MarketBeat Reports - Q2 2026
Used for: Cushman & Wakefield Central Connecticut industrial vacancy rate in Q2 2026 and Hartford office new demand in Q2 2026
- 12Selective Recovery: Downtown Hartford office market
Used for: Hartford Central Business District office vacancy at year-end 2025, Hartford non-CBD office vacancy at year-end 2025, Greater Hartford overall office vacancy at year-end 2025, and Downtown Hartford office demand increased more than 75% year over year in 2025 despite elevated vacancy
- 13Governor Lamont Announces Connecticut’s Minimum Wage Will Increase to $16.94 on January 1, 2026
Used for: Connecticut minimum wage effective January 1, 2026
- 14Hartford Hospital - FY22 Fast Facts
Used for: Hartford Hospital FY22 operating scale
- 15Hartford HealthCare - FY2024 System Facts
Used for: Hartford HealthCare FY24 system scale
- 16Snow Parking Ban
Used for: During a declared snow emergency parking ban, all on-street parking is prohibited throughout Hartford and remaining vehicles may be ticketed and towed
- 17Apply for a Sign Permit
Used for: Hartford zoning prohibits listed sign forms including animated or moving signs, vehicles as signs, portable or wheeled signs, inflatables/balloons, and off-site advertising and Administrative planning/zoning reviews may take up to 35 days depending on request type
- 18Apply for Historic Review
Used for: Historic review and approval is required before building or demolition permits for properties in Local, State, or National Historic Districts or containing a Historic Landmark
- 19Apply for a Wetlands Permit
Used for: Inland Wetlands and Watercourses permit is required for work in a wetland/watercourse or within the 100-foot upland review area of a wetland, watercourse, or floodplain
- 20City of Hartford AMTRAK Hazard Mitigation Project
Used for: A specific Hartford Connecticut River levee project site is within FEMA Special Flood Hazard Area Zone AE with more than 1% annual flood chance
- 21Explanation of Water and Sewer Charges - 2026 Member Town Customer Charges
Used for: MDC Clean Water Project Charge for 2026
- 22Availability & Capacity Analysis Request
Used for: MDC availability/capacity analysis process for new or modified water/sewer services takes approximately 6-8 weeks after payment
- 23Large Diameter Sewer Rehabilitation Phase 3A (Downtown Hartford)
Used for: MDC large-diameter sewer rehabilitation is active in Central Row, Main Street, and Market Street area after beginning November 4, 2025
- 24Development Services - Open RFPs/RFQs and PlanetBids Vendor Portal
Used for: City of Hartford uses a vendor portal for open bid opportunities and vendor notifications
- 25Connecticut Department of Administrative Services
Used for: Connecticut DAS provides state contracting opportunities and supplier resources and operates from Hartford
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.
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.