70.7 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Lancaster, Pennsylvania
We compared 14 franchise concepts for Lancaster, Pennsylvania. Replacement and repair demand was a leading positive mechanism. Broad labor scarcity was a leading operating constraint.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
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
0.7 points average among 10 affected concepts
0.5 points average reduction among 10 affected concepts
Tested rank range spans 11 positions
Executive conclusion
What the ranking means for Lancaster, Pennsylvania
City Wide, ZOOM DRAIN, and Mr. Rooter produced the highest modeled local-alignment scores in the evaluated set. Replacement and repair demand was the strongest positive scored mechanism among 7 exposed concepts, adding 0.8 points on average. Broad labor scarcity was the broadest operating constraint, reducing exposed concepts by 0.5 points on average. City Wide was especially relationship-sensitive: removing healthcare institutional service demand moved it from #1 to #3 in the full model rerun. 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 72.4Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 71.5Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 71.1Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 71.1Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.9Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.5 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Mister Sparky ElectricElectrical | 70.9Tier 3 · Mixed modeled alignment | +0.9 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 70.8Tier 3 · Mixed modeled alignment | +1.0 ptsProperty replacement-cycle demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 70.7Tier 3 · Mixed modeled alignment | +0.8 ptsProperty replacement-cycle demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | PuroCleanRestorationInvestment: $54,575–$262,145 | 70.6Tier 3 · Mixed modeled alignment | +0.8 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 70.6Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -0.6 ptsReal estate and site feasibility | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Lancaster, Pennsylvania
Large pre-1940 housing-stock share
This relationship affected 7 concepts and added 0.8 points on average among those exposed. Local evidence: Households supported through Critical Repair and Lead Hazard programming in 2025: 156 households. [6] [5]
Tight Lancaster labor-shed conditions
This relationship affected 10 concepts and reduced 0.5 points on average among those exposed. Local evidence: Selected Lancaster-area average hourly wages in May 2025: all occupations: 28.66; carpenters: 27.88; welders cutters solderers brazers: 26.93; cabinetmakers bench carpenters: 23.37; shipping receiving inventory clerks: 22.17; packers packagers hand: 18.36 USD per hour. [8] [9]
recurring-commercial-service
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was labor and staffing friction. [8] [30] [25] [29] [26] [9] [10] [11]
Evidence behind the city mechanisms
Large pre-1940 housing-stock share1 modeled effect
Lancaster General Health institutional demand anchor1 modeled effect
Tight Lancaster labor-shed conditions1 modeled effect
Restricted retail supply and rising lease-rate pressure1 modeled effect
Business-support and institutional relationship network3 local facts · 2 modeled effects · 3 sources
- Unique businesses identified for Lancaster CRIZ reporting and filings in program year 2024: identified businesses: 557; businesses filed by deadline: 488; new businesses with certified state tax: 163; businesses with established baseline and incremental growth: 289 [26]
- City business-resource page identifies ASSETS Lancaster, Finanta, the Economic Development Company of Lancaster County, Lancaster Chamber, Lancaster City Alliance, and other business-support resources: yes boolean [25]
- County procurement uses IFB, RFP, RFQ and RFI processes with formal submission and evaluation requirements: yes boolean [29]
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.
City Wide
Initial investment: $229,729–$410,730
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 | +2.0 pts | |
| Referral ecosystem |
| +0.7 pts |
| Labor and staffing friction |
| -0.4 pts |
| Net local movement | +2.40 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +2.0 |
| 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 applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.7 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.40 |
| Published local-market alignment | 72.4 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #1–#9
ZOOM DRAIN
Initial investment: $266,250–$570,500
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 |
| Referral ecosystem |
| +0.4 pts |
| Target-market demand |
| +0.1 pts |
| Net local movement | +1.55 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.1 |
| Property replacement-cycle demand | +1.0 |
| 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 applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.55 |
| Published local-market alignment | 71.5 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #1–#5
Mr. Rooter
Initial investment: $152,900–$298,675
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 |
| Target-market demand |
| +0.1 pts |
| Net local movement | +1.11 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.1 |
| Property replacement-cycle demand | +1.0 |
| 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 applicable to this operating model |
| 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 | 71.11 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #2–#8
ActionCOACH
Initial investment: $71,668–$303,513
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 | +0.6 pts | |
| Referral ecosystem |
| +0.6 pts |
| Labor and staffing friction |
| -0.1 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.06 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.6 |
| 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 | Effect below the publication threshold |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.06 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.6 pts
- Tested rank range
- #2–#8
HomeSmiles
Initial investment: $148,110–$201,800
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 | +0.9 pts | |
| Referral ecosystem |
| +0.5 pts |
| Labor and staffing friction |
| -0.5 pts |
| Net local movement | +0.94 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.9 |
| 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 applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.94 |
| 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
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #3–#10
Mister Sparky Electric
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 |
| +0.9 pts |
| Net local movement | +0.88 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 | +0.9 |
| 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 applicable to this operating model |
| 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 | 70.88 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.9 pts
- Tested rank range
- #3–#10
Aire Serv
Initial investment: $113,308–$271,708
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 |
| Labor and staffing friction |
| -0.2 pts |
| Target-market demand |
| +0.1 pts |
| Net local movement | +0.84 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.1 |
| Property replacement-cycle demand | +1.0 |
| 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 applicable to this operating model |
| 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 | 70.84 |
| 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
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +1.0 pts
- Tested rank range
- #4–#12
Rainbow International Restoration
Initial investment: $185,336–$351,900
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 |
| +0.8 pts |
| Labor and staffing friction |
| -0.7 pts |
| Referral ecosystem |
| +0.5 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | +0.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | -0.7 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.71 |
| 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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.8 pts
- Tested rank range
- #4–#11
PuroClean
Initial investment: $54,575–$262,145
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 |
| +0.8 pts |
| Labor and staffing friction |
| -0.6 pts |
| Referral ecosystem |
| +0.5 pts |
| Net local movement | +0.63 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | -0.6 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.5 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.63 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.8 pts
- Tested rank range
- #5–#13
FASTSIGNS
Initial investment: $231,226–$386,285
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 | +1.1 pts | |
| Real estate and site feasibility |
| -0.6 pts |
| Referral ecosystem |
| +0.3 pts |
| Labor and staffing friction |
| -0.2 pts |
| Net local movement | +0.62 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| 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 | -0.6 |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.62 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.1 pts
- Tested rank range
- #3–#12
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
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 |
| +0.5 pts |
| Net local movement | +0.51 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | Effect below the publication threshold |
| 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 applicable to this operating model |
| 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 | 70.51 |
| 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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.5 pts
- Tested rank range
- #6–#12
Jan-Pro International
Initial investment: $130,000–$421,500
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 | +1.6 pts | |
| Labor and staffing friction |
| -1.4 pts |
| Referral ecosystem |
| +0.2 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.37 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +1.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.4 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Not applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.37 |
| Published local-market alignment | 70.4 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #2–#13
Tiger Adjusters
Initial investment: $43,050–$159,500
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 |
| -0.1 pts |
| Target-market demand |
| +0.1 pts |
| Net local movement | -0.03 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | +0.1 |
| 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 applicable to this operating model |
| 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 | 69.97 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.1 pts
- Tested rank range
- #10–#13
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Real estate and site feasibility |
| -1.3 pts |
| Labor and staffing friction |
| -1.0 pts |
| Net local movement | -2.34 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | -1.0 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -1.3 |
| 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 | 67.66 |
| Published local-market alignment | 67.7 |
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
- Strong
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -1.3 pts
- Tested rank range
- #14–#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 | +2.0 |
| 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 applicable to this operating model |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.7 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.40 |
| Published local-market alignment | 72.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
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.
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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. City Wide moved from #1 to #9, the largest movement among concepts directly affected by this factor.
What we observed
- Unique Businesses Identified For Lancaster Criz Reporting And Filings In Program Year 2024identified businesses: 557; businesses filed by deadline: 488; new businesses with certified state tax: 163; businesses with established baseline and incremental growth: 289
- Approximate Area Of Lancaster Criz130 acres approximate
- Lancaster Area Nonfarm Employment And Selected Sectors In June 2026total nonfarm thousands: 272.7; education health services thousands: 55.1; trade transportation utilities thousands: 57.7; professional business services thousands: 27.9; leisure hospitality thousands: 27.8 thousand jobs
Concepts helped most
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, 12 concepts changed position. Aire Serv moved from #7 to #12, the largest movement among concepts directly affected by this factor.
What we observed
- Households Supported Through Critical Repair And Lead Hazard Programming In 2025156 households
- Housing Units Built Before 1940 In Lancaster Cityshare percent: 54; units: 12,397 percent and units
Concepts helped most
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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Jan-Pro International moved from #12 to #2, the largest movement among concepts directly affected by this factor.
What we observed
- Seasonally Adjusted Lancaster County Wda Unemployment Rate In June 2026 Versus Pennsylvanialancaster wda percent: 3.2; pennsylvania percent: 4.1; labor force: 295,600; employed: 286,200; unemployed: 9,400 percent and people
- Selected Lancaster Area Average Hourly Wages In May 2025all occupations: 28.66; carpenters: 27.88; welders cutters solderers brazers: 26.93; cabinetmakers bench carpenters: 23.37; shipping receiving inventory clerks: 22.17; packers packagers hand: 18.36 USD per hour
Concepts challenged most
Real estate and site feasibility
We applied site and operating-base constraints only to concepts requiring comparable storefront, production, warehouse, or fleet space.
Why concepts react differently
We applied a measurable adjustment to 2 of 14 concepts. When we neutralized the factor and recalculated the table, 7 concepts changed position. FASTSIGNS moved from #10 to #3, the largest movement among concepts directly affected by this factor.
What we observed
- Zoning Determines Permitted Uses, Required Parking, Lot Dimensions, Building Heights, Coverage, And Setbacks By Districtyes boolean
- Lancaster County Retail Construction And Lease Rate Trendnew retail construction 2020 2025 sqft less than: 420,000; shopping center construction ceased year: 2,024; lease rate growth since 2020 percent range: 27, 33 mixed
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. HomeSmiles moved from #5 to #8, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Sales and customer acquisitionNo 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.
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.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Real estate and site feasibility | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +2.0 pts | — | -0.4 pts | — | +0.7 pts |
| #2 ZOOM DRAIN | +0.1 pts | +1.0 pts | — | — | +0.4 pts |
| #3 Mr. Rooter | +0.1 pts | +1.0 pts | — | — | — |
| #4 ActionCOACH | +0.6 pts | — | -0.1 pts | — | +0.6 pts |
| #5 HomeSmiles | +0.9 pts | — | -0.5 pts | — | +0.5 pts |
| #6 Mister Sparky Electric | — | +0.9 pts | — | — | — |
| #7 Aire Serv | +0.1 pts | +1.0 pts | -0.2 pts | — | — |
| #8 Rainbow International Restoration | +0.2 pts | +0.8 pts | -0.7 pts | — | +0.5 pts |
| #9 PuroClean | — | +0.8 pts | -0.6 pts | — | +0.5 pts |
| #10 FASTSIGNS | +1.1 pts | — | -0.2 pts | -0.6 pts | +0.3 pts |
| #11 Pillar To Post Home Inspectors | — | +0.5 pts | — | — | — |
| #12 Jan-Pro International | +1.6 pts | — | -1.4 pts | — | +0.2 pts |
| #13 Tiger Adjusters | +0.1 pts | — | -0.1 pts | — | — |
| #14 Workout Anytime | — | — | -1.0 pts | -1.3 pts | — |
Interpretation
How to interpret the result
City Wide, ZOOM DRAIN, Mr. Rooter led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, ZOOM DRAIN, Mr. Rooter; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Lancaster, Pennsylvania
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Lancaster, Pennsylvania
2 Restoration concepts qualified for comparison, with scores ranging from 70.6 to 70.7. Rainbow International Restoration ranked highest at 70.7. Property replacement-cycle demand added 0.8 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.7 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.6–70.7
- Category average
- 70.7
Metric registry
The 30 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 | 58,366people | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census measures | Lancaster, Pennsylvania | Context only | [4] |
| Population change from April 2020 estimate base to July 2025 | 0.7percent | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census measures | Lancaster, Pennsylvania | Context only | [4] |
| Estimated households, 2020-2024 | 21,971households | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census measures | Lancaster, Pennsylvania | Context only | [4] |
| Median household income and poverty rate | median household income 2024 dollars: 63,690; persons in poverty percent: 20.3mixed | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census measures | Lancaster, Pennsylvania | Context only | [4] |
| Retail sales and health-care/social-assistance receipts in 2022 | retail sales thousand dollars: 1,886,555; health care social assistance receipts thousand dollars: 2,076,108; accommodation food services sales thousand dollars: 249,527thousand USD | July 1, 2025 population estimate; 2020-2024 ACS; 2022 Economic Census measures | Lancaster, Pennsylvania | Context only | [4] |
| Housing units built before 1940 in Lancaster City | share percent: 54; units: 12,397percent and units | 2020-2024 American Community Survey estimates | Lancaster, Pennsylvania | Used in scoring | [5] |
| Households supported through Critical Repair and Lead Hazard programming in 2025 | 156households | Program year 2025 | Lancaster, Pennsylvania | Used in scoring | [6] |
| New businesses launched through the City-supported microenterprise program in 2025 | 155businesses | Program year 2025 | Lancaster, Pennsylvania | Context only | [6] |
| Seasonally adjusted Lancaster County WDA unemployment rate in June 2026 versus Pennsylvania | lancaster wda percent: 3.2; pennsylvania percent: 4.1; labor force: 295,600; employed: 286,200; unemployed: 9,400percent and people | Labor market through June 2026; employer list Q4 2025 | Lancaster County, Pennsylvania | Used in scoring | [9] |
| Lancaster-area nonfarm employment and selected sectors in June 2026 | total nonfarm thousands: 272.7; education health services thousands: 55.1; trade transportation utilities thousands: 57.7; professional business services thousands: 27.9; leisure hospitality thousands: 27.8thousand jobs | Labor market through June 2026; Q4 2025 wages; May 2025 occupation wages | Lancaster, Pennsylvania metropolitan area | Used in scoring | [8] |
| Selected Lancaster-area average hourly wages in May 2025 | all occupations: 28.66; carpenters: 27.88; welders cutters solderers brazers: 26.93; cabinetmakers bench carpenters: 23.37; shipping receiving inventory clerks: 22.17; packers packagers hand: 18.36USD per hour | Labor market through June 2026; Q4 2025 wages; May 2025 occupation wages | Lancaster, Pennsylvania metropolitan area | Used in scoring | [8] |
| Lancaster General Hospital licensed-bed scale within Lancaster City | 525licensed beds | Current facility profile accessed August 2026 | Lancaster General Hospital, 555 N | Used in scoring | [10] |
| Lancaster General Health regional system scale | hospitals: 4; licensed beds: 805; physicians more than: 500facilities beds and physicians | Current health-system profile accessed August 2026 | Lancaster General Health | Used in scoring | [11] |
| Lancaster County industrial inventory and vacancy in Q4 2025 | inventory sqft: 88,460,000; vacancy percent: 0.88sqft and percent | Q4 and full-year 2025 | Lancaster County, Pennsylvania | Context only | [12] |
| Lancaster County industrial average lease rates by class in Q4 2025 | class a usd per sqft: 9; class b usd per sqft: 8.9; class c usd per sqft approx: 8USD per sqft | Q4 and full-year 2025 | Lancaster County, Pennsylvania | Context only | [12] |
| Lancaster County retail construction and lease-rate trend | new retail construction 2020 2025 sqft less than: 420,000; shopping center construction ceased year: 2,024; lease rate growth since 2020 percent range: 27, 33mixed | Retail trends 2020-2025 with 2026 outlook | Lancaster County, Pennsylvania | Used in scoring | [13] |
| Current 1,800-square-foot flex suite listed in the Lancaster 17601 postal market | 1,800sqft | Available now as of July 2026 | Lancaster, PA 17601; outside Lancaster city proper unless parcel jurisdiction is verified | Context only | [15] |
| City provides loading zones for businesses needing delivery access | yesboolean | Current parking/loading guidance accessed August 2026 | Lancaster, Pennsylvania | Context only | [21] |
| Planned US 222 reconstruction north of US 30 in Manheim Township | project id: 109,618; length miles: 2.9; planned start: 2028-07-10; planned completion: 2030-04-22; twelve year program cost usd: 100,996,207mixed | Federal Fiscal Year 2025 project report current as of July 30, 2026; work can begin July 10, 2028; completion April 22, 2030 | US 222, Manheim Township, Lancaster County; outside Lancaster city proper | Conditional relationship | [22] |
| Exterior alterations, new construction, and demolition within the Lancaster Historic District are subject to HARB review and City Council action | yesboolean | Current historic-district review process accessed August 2026 | Lancaster Historic District | Conditional relationship | [19] [16] |
| Approximate properties protected within the local Historic District | 900properties approximate | Current district description accessed August 2026 | Lancaster Historic District | Conditional relationship | [20] |
| Sign approval process includes Sign Administration, with Sign Commission design and illumination review in CB and CB1 and additional HARB review where applicable | sign commission districts: CB, CB1; historic district additional review: yesrule set | Current sign-review process accessed August 2026; ordinance adopted July 11, 2017 | Lancaster, Pennsylvania | Conditional relationship | [18] [19] |
| Zoning determines permitted uses, required parking, lot dimensions, building heights, coverage, and setbacks by district | yesboolean | Current zoning guidance accessed August 2026 | Lancaster, Pennsylvania | Used in scoring | [17] |
| Pennsylvania Geological Survey maintains a Lancaster County inventory of sinkholes and other karst-related features associated with carbonate bedrock susceptibility | yesboolean | County karst inventory based on mapping and reports available through the study period | Lancaster County, Pennsylvania | Context only | [23] [24] |
| Unique businesses identified for Lancaster CRIZ reporting and filings in program year 2024 | identified businesses: 557; businesses filed by deadline: 488; new businesses with certified state tax: 163; businesses with established baseline and incremental growth: 289businesses | Program year 2024; filed by June 15, 2025 | Lancaster City Revitalization and Improvement Zone | Used in scoring | [26] |
| Approximate area of Lancaster CRIZ | 130acres approximate | Calendar year 2025 reporting | Lancaster City Revitalization and Improvement Zone | Used in scoring | [27] |
| Lancaster County visitor economy in 2025 | visitors millions: 9.99; visitor spending billion usd: 2.74; tourism employment: 26,436mixed | Calendar year 2025 | Lancaster County, Pennsylvania | Context only | [28] |
| City business-resource page identifies ASSETS Lancaster, Finanta, the Economic Development Company of Lancaster County, Lancaster Chamber, Lancaster City Alliance, and other business-support resources | yesboolean | Current business-resource network accessed August 2026 | Lancaster, Pennsylvania | Supports modeled relationship | [25] |
| County procurement uses IFB, RFP, RFQ and RFI processes with formal submission and evaluation requirements | yesboolean | Current procurement process accessed August 2026 | Lancaster County, Pennsylvania | Supports modeled relationship | [29] |
| Lancaster County C&I Council maintains a commercial and industrial real-estate professional network and member directory | yesboolean | Current member and event information accessed August 2026 | Lancaster County, Pennsylvania | Supports modeled relationship | [30] |
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 72.40 after target-market demand +2.0 pts, referral ecosystem +0.7 pts, and labor and staffing friction -0.4 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
How factor rows are classified
“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.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-2 U.S. MarketsInternal or supplied research; not publicly accessible.
- 2Forensic Audit of Structural Constraints and Latent Jurisdictional RisksInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - aug(8).csvInternal or supplied research; not publicly accessible.
- 4QuickFacts: Lancaster city, Pennsylvania
Used for: Resident population estimate on July 1, 2025, Population change from April 2020 estimate base to July 2025, Estimated households, 2020-2024, Median household income and poverty rate, and Retail sales and health-care/social-assistance receipts in 2022
- 5Age of Housing Stock, 2020-24
Used for: Housing units built before 1940 in Lancaster City
- 62025 Consolidated Annual Performance and Evaluation Report
Used for: Households supported through Critical Repair and Lead Hazard programming in 2025 and New businesses launched through the City-supported microenterprise program in 2025
- 7
- 8Lancaster, PA, Area Economic Summary
Used for: Lancaster-area nonfarm employment and selected sectors in June 2026 and Selected Lancaster-area average hourly wages in May 2025
- 9Lancaster County WDA Profile July 2026
Used for: Seasonally adjusted Lancaster County WDA unemployment rate in June 2026 versus Pennsylvania
- 10Lancaster General Hospital
Used for: Lancaster General Hospital licensed-bed scale within Lancaster City
- 11Our Services - Lancaster General Health
Used for: Lancaster General Health regional system scale
- 12Industrial Market Report: Lancaster County, PA, Q4 2025
Used for: Lancaster County industrial inventory and vacancy in Q4 2025 and Lancaster County industrial average lease rates by class in Q4 2025
- 13ROCK CheckPoint: York & Lancaster Counties, May 2026
Used for: Lancaster County retail construction and lease-rate trend
- 14
- 151200 Corporate Blvd, Lancaster, PA 17601 - Flex for Lease
Used for: Current 1,800-square-foot flex suite listed in the Lancaster 17601 postal market
- 16Planning Ordinances
Used for: Exterior alterations, new construction, and demolition within the Lancaster Historic District are subject to HARB review and City Council action
- 17Zoning
Used for: Zoning determines permitted uses, required parking, lot dimensions, building heights, coverage, and setbacks by district
- 18Sign Commission
Used for: Sign approval process includes Sign Administration, with Sign Commission design and illumination review in CB and CB1 and additional HARB review where applicable
- 19Historical Architectural Review Board (HARB)
Used for: Exterior alterations, new construction, and demolition within the Lancaster Historic District are subject to HARB review and City Council action and Sign approval process includes Sign Administration, with Sign Commission design and illumination review in CB and CB1 and additional HARB review where applicable
- 20Heritage Conservation District
Used for: Approximate properties protected within the local Historic District
- 21Parking & Loading Zones
Used for: City provides loading zones for businesses needing delivery access
- 22PA Projects Project Report: US 222 Reconstruction, Project ID 109618
Used for: Planned US 222 reconstruction north of US 30 in Manheim Township
- 23Sinkholes and karst-related features of Lancaster County, Pennsylvania
Used for: Pennsylvania Geological Survey maintains a Lancaster County inventory of sinkholes and other karst-related features associated with carbonate bedrock susceptibility
- 24Geographic information system data sets of hydrogeologic conditions in Pequea and Mill Creek watersheds, Pennsylvania: Part I — Basic data
Used for: Pennsylvania Geological Survey maintains a Lancaster County inventory of sinkholes and other karst-related features associated with carbonate bedrock susceptibility
- 25Business - Supporting our Business Community
Used for: City business-resource page identifies ASSETS Lancaster, Finanta, the Economic Development Company of Lancaster County, Lancaster Chamber, Lancaster City Alliance, and other business-support resources
- 26Lancaster CRIZ 2024 Certification
Used for: Unique businesses identified for Lancaster CRIZ reporting and filings in program year 2024
- 27Lancaster CRIZ 2025 Reporting & Information Packet
Used for: Approximate area of Lancaster CRIZ
- 28The Impact of Tourism in Lancaster PA
Used for: Lancaster County visitor economy in 2025
- 29Bids, Proposals & Quotes
Used for: County procurement uses IFB, RFP, RFQ and RFI processes with formal submission and evaluation requirements
- 30C&I Commercial & Industrial Real Estate Council
Used for: Lancaster County C&I Council maintains a commercial and industrial real-estate professional network and member directory
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.















































































