70.2 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Virginia Beach, Virginia
We compared 14 franchise concepts for Virginia Beach, Virginia. Local business demand was a leading positive mechanism. Fixed-location occupancy cost 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
29Sources used
21Primary sources
42Local 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
1.1 points average among 12 affected concepts
0.9 points average reduction among 3 affected concepts
Tested rank range spans 10 positions
Executive conclusion
What the ranking means for Virginia Beach, Virginia
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 1.1 points on average. Fixed-location occupancy cost pressure was the broadest operating constraint, reducing exposed concepts by 0.9 points on average. 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 | 73.2Tier 2 · Favorable modeled alignment | +3.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 72.7Tier 2 · Favorable modeled alignment | +2.7 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 72.1Tier 2 · Favorable modeled alignment | +2.1 ptsTarget-market demand | -0.1 ptsReal estate and site feasibility | Moderate evidence confidence |
| 4 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.8Tier 3 · Mixed modeled alignment | +2.5 ptsTarget-market demand | -0.8 ptsReal estate and site feasibility | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 71.5Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | Aire ServHVAC installation, repair, and maintenanceInvestment: $113,308–$271,708 | 70.8Tier 3 · Mixed modeled alignment | +0.5 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 7 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.8Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 8 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 70.7Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 70.3Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 10 | Mister Sparky ElectricElectrical | 70.3Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | No material negative local adjustment | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Virginia Beach, Virginia
Large household, establishment, employment, and sector-sales base supports broad local business demand
This relationship affected 10 concepts and added 1.1 points on average among those exposed. Local evidence: Employment at employer establishments in 2023: 165,136 employees. [5] [6]
Low retail vacancy and rising quoted rents increase site-search and occupancy pressure for fixed-location concepts
This relationship affected 3 concepts and reduced 0.9 points on average among those exposed. Local evidence: Hampton Roads quoted retail lease rates relative to the start of 2024: 8.4 percent increase. [14]
Virginia Beach reported 14.3 million visitors and $2.6 billion in visitor spending in 2024
The tourism scale supports event- and visitor-oriented demand, but the current evidence shows that large-event logistics and many visitor-facing operating conditions are concentrated in the Oceanfront and Resort Area. The tourism total therefore should not be treated as uniform citywide walk-in demand, stable year-round local demand, or equivalent accessibility across Virginia Beach. [7] [18] [19] [20] [2]
Evidence behind the city mechanisms
Large household, establishment, employment, and sector-sales base supports broad local business demand1 modeled effect
Local business demandTarget-market demand
Large 1980s-era cohort and predominantly pre-2000 affordable owner stock support a midlife system-replacement mechanism1 modeled effect
Housing-system replacement demandProperty replacement-cycle demand
Low retail vacancy and rising quoted rents increase site-search and occupancy pressure for fixed-location concepts1 modeled effect
Fixed-location occupancy cost pressureReal estate and site feasibility
Oceanfront event calendar creates location-specific demand spikes and staffing variance3 local facts · 2 modeled effects · 4 sources
- Large 2026 Oceanfront events are planned with anticipated attendance of at least 10,000 people per day: minimum expected daily attendance: 10,000; event season: March-December 2026 people per day and period [18] [19] [20]
- Visitors in 2024: 14,300,000 visitors [7]
- Share of visitors reported as day visitors in 2024: 58.8 percent of visitors [7]
Event-driven demand upsideTarget-market demand
Event-demand volatilityTarget-market demand
Large Oceanfront events create event-specific traffic, parking, and road-access friction1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
Oceanfront Resort District form-based controls can require site-specific prototype adaptation1 modeled effect
Signage and prototype adaptation burdenRegulatory and operating friction
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 alignment73.2
City Wide
Initial investment: $229,729–$410,730
Increase +3.2 pts Target-market demandNo material negative local adjustment identified
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 | +3.2 pts | |
| Net local movement | +3.20 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 73.20 |
| Published local-market alignment | 73.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +3.2 pts
- Tested rank range
- #1–#10
#2Tier 2 · Favorable modeled alignment72.7
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +2.7 pts Target-market demandNo material negative local adjustment identified
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 | |
| Net local movement | +2.68 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 mistaken for a score-changing effect.
| 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 | Not included in the score |
| 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 | 72.68 |
| Published local-market alignment | 72.7 |
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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.7 pts
- Tested rank range
- #2–#11
#3Tier 2 · Favorable modeled alignment72.1
ActionCOACH
Initial investment: $71,668–$303,513
Increase +2.1 pts Target-market demandReduction -0.1 pts Real estate and site feasibility
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 | +2.1 pts | |
| Real estate and site feasibility |
| -0.1 pts |
| Net local movement | +2.07 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.1 |
| 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 | 72.07 |
| Published local-market alignment | 72.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #3–#12
#4Tier 3 · Mixed modeled alignment71.8
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +2.5 pts Target-market demandReduction -0.8 pts Real estate and site feasibility
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 | +2.5 pts | |
| Real estate and site feasibility |
| -0.8 pts |
| Regulatory and operating friction | Signage and prototype adaptation burden EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +1.77 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -0.8 |
| 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 | 71.77 |
| Published local-market alignment | 71.8 |
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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.5 pts
- Tested rank range
- #3–#13
#5Tier 3 · Mixed modeled alignment71.5
HomeSmiles
Initial investment: $148,110–$201,800
Increase +1.5 pts Target-market demandNo material negative local adjustment identified
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 |
|---|---|---|
| Target-market demand | +1.5 pts | |
| Net local movement | +1.53 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 71.53 |
| 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
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.5 pts
- Tested rank range
- #5–#8
#6Tier 3 · Mixed modeled alignment70.8
Aire Serv
Initial investment: $113,308–$271,708
Increase +0.5 pts Property replacement-cycle demandNo material negative local adjustment identified
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 |
| Target-market demand |
| +0.4 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.83 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.83 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.5 pts
- Tested rank range
- #1–#7
#7Tier 3 · Mixed modeled alignment70.8
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +0.4 pts Target-market demandNo material negative local adjustment identified
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 |
| +0.4 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Net local movement | +0.79 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.79 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #2–#7
#8Tier 3 · Mixed modeled alignment70.7
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified
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 |
| +0.3 pts |
| Target-market demand |
| +0.3 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.67 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.67 |
| 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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #3–#8
#9Tier 3 · Mixed modeled alignment70.3
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.2 pts Target-market demandNo material negative local adjustment identified
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 |
| +0.2 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Net local movement | +0.33 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.33 |
| Published local-market alignment | 70.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.2 pts
- Tested rank range
- #5–#10
#10Tier 3 · Mixed modeled alignment70.3
Mister Sparky Electric
Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified
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 |
| +0.3 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.30 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.30 |
| Published local-market alignment | 70.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.3 pts
- Tested rank range
- #4–#12
#11Tier 3 · Mixed modeled alignment70.3
Tiger Adjusters
Initial investment: $43,050–$159,500
Increase +0.3 pts Target-market demandNo material negative local adjustment identified
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 |
|---|---|---|
| Target-market demand |
| +0.3 pts |
| Net local movement | +0.28 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 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.28 |
| Published local-market alignment | 70.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #9–#11
#12Tier 3 · Mixed modeled alignment70.2
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.1 pts Property replacement-cycle demandNo material negative local adjustment identified
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 |
| +0.1 pts |
| Target-market demand |
| +0.1 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.22 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.22 |
| 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
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.1 pts
- Tested rank range
- #7–#12
#13Tier 3 · Mixed modeled alignment70.1
PuroClean
Initial investment: $54,575–$262,145
Increase +0.1 pts Property replacement-cycle demandNo material negative local adjustment identified
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 |
| +0.1 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.11 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 70.11 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.1 pts
- Tested rank range
- #6–#13
#14Tier 3 · Mixed modeled alignment67.6
Workout Anytime
Initial investment: $1,060,850–$1,840,550
No material positive local adjustment identifiedReduction -1.8 pts Real estate and site feasibility
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 |
| -1.8 pts |
| Target-market demand |
| -0.7 pts |
| Net local movement | -2.43 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | -0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | -1.8 |
| 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 | 67.57 |
| Published local-market alignment | 67.6 |
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
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Real estate and site feasibility -1.8 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 mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +3.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| 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 | 73.20 |
| Published local-market alignment | 73.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Starting pointThe operating-model baseline shown in the first ledger row.
InteractionsAny interaction or gate is included in the relevant contribution or calibration row.
Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.
RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.
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 12 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. City Wide moved from #1 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected+1.1 pts
Average across all concepts+0.9 pts
Concepts changing rank13
What we observed
- Resident Population Estimate On July 1, 2025453,737 people
- Households In The 2020 2024 Census Profile179,851 households
- Employer Establishments In 202311,822 establishments
Concepts helped most
City WideFacility management
+3.2 pts
Jan-Pro InternationalCommercial cleaning
+2.7 pts
FASTSIGNSSigns and graphics
+2.5 pts
ActionCOACHBusiness coaching
+2.1 pts
HomeSmilesProperty maintenance services
+1.5 pts
Concepts challenged most
Workout AnytimeFitness
-0.7 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, 7 concepts changed position. Aire Serv moved from #6 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.3 pts
Average across all concepts+0.1 pts
Concepts changing rank7
What we observed
- Estimated Housing Units On July 1, 2025192,699 housing units
- Housing Units Permitted During The 1986 Development Boom8,000 housing units permitted
- Owner Occupied Housing Unit Rate65.1 percent
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+0.5 pts
ZOOM DRAINDrain and sewer service
+0.3 pts
Mr. RooterPlumbing
+0.3 pts
Mister Sparky ElectricElectrical
+0.3 pts
Pillar To Post Home InspectorsHome inspection
+0.2 pts
Observed model effectMixed or model dependent
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 3 of 14 concepts. When we neutralized the factor and recalculated the table, 2 concepts changed position. FASTSIGNS moved from #4 to #3, the largest movement among concepts directly affected by this factor.
Concepts adjusted3 of 14
Average among affected-0.9 pts
Average across all concepts-0.2 pts
Concepts changing rank2
What we observed
- Virginia Beach Retail Submarket Conditions In Q2 2026inventory sqft: 26,319,413; overall vacancy percent: 3.3; current quarter net absorption sqft: 260,019; year to date net absorption sqft: 220,930; under construction sqft: 13,545; average asking rent nnn usd per sqft per year: 21.34 market statistics
- Hampton Roads Quoted Retail Lease Rates Relative To The Start Of 20248.4 percent increase
Concepts challenged most
Workout AnytimeFitness
-1.8 pts
FASTSIGNSSigns and graphics
-0.8 pts
ActionCOACHBusiness coaching
-0.1 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Labor and staffing frictionNo material score adjustment
- Transportation, routing, and parkingNo 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–#10
#2 Jan-Pro InternationalHighly sensitive · tested #2–#11
#3 ActionCOACHHighly sensitive · tested #3–#12
#4 FASTSIGNSHighly sensitive · tested #3–#13
#5 HomeSmilesModerately sensitive · tested #5–#8
#6 Aire ServHighly sensitive · tested #1–#7
#7 ZOOM DRAINHighly sensitive · tested #2–#7
#8 Mr. RooterHighly sensitive · tested #3–#8
#9 Pillar To Post Home InspectorsHighly sensitive · tested #5–#10
#10 Mister Sparky ElectricHighly sensitive · tested #4–#12
#11 Tiger AdjustersModerately sensitive · tested #9–#11
#12 Rainbow International RestorationHighly sensitive · tested #7–#12
#13 PuroCleanHighly sensitive · tested #6–#13
#14 Workout AnytimeStable · tested #14–#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: [5] [6] [7] [8] [9] [10] [11] [28] [18] [2]Property replacement-cycle demand: [8] [9] [5] [23] [24] [2]Competitive environment: [5] [14] [15] [11] [28] [4]Labor and staffing friction: [12] [13] [11] [7] [9] [3] [2]Transportation, routing, and parking: [5] [18] [19] [20] [17] [29] [27] [4]Real estate and site feasibility: [14] [15] [16] [21] [24] [25] [27] [2]Sales and customer acquisition: [5] [11] [28] [7] [14] [4]Referral ecosystem: [5] [11] [28] [9] [4]Territory quality: [5] [27] [18] [21] [14] [8] [4]Regulatory and operating friction: [21] [22] [24] [25] [26] [28] [3] [4]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Real estate and site feasibility |
|---|---|---|---|
| #1 City Wide | +3.2 pts | — | — |
| #2 Jan-Pro International | +2.7 pts | — | — |
| #3 ActionCOACH | +2.1 pts | — | -0.1 pts |
| #4 FASTSIGNS | +2.5 pts | — | -0.8 pts |
| #5 HomeSmiles | +1.5 pts | — | — |
| #6 Aire Serv | +0.4 pts | +0.5 pts | — |
| #7 ZOOM DRAIN | +0.4 pts | +0.3 pts | — |
| #8 Mr. Rooter | +0.3 pts | +0.3 pts | — |
| #9 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | — |
| #10 Mister Sparky Electric | — | +0.3 pts | — |
| #11 Tiger Adjusters | +0.3 pts | — | — |
| #12 Rainbow International Restoration | +0.1 pts | +0.1 pts | — |
| #13 PuroClean | — | +0.1 pts | — |
| #14 Workout Anytime | -0.7 pts | — | -1.8 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 real estate and site feasibility. 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, ActionCOACH; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Virginia Beach, Virginia
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 Virginia Beach, Virginia
2 Restoration concepts qualified for comparison, with scores ranging from 70.1 to 70.2. Rainbow International Restoration ranked highest at 70.2. Property replacement-cycle demand added 0.1 points on average among the affected concepts.
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
- 70.1–70.2
- Category average
- 70.2
Rainbow International Restoration70.2
PuroClean70.1
Metric registry
The 42 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 | 453,737people | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Population change from the April 2020 estimates base to July 2025 | -1.2percent | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Context only | [5] |
| Households in the 2020-2024 Census profile | 179,851households | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Estimated housing units on July 1, 2025 | 192,699housing units | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Residential building permits in 2025 | 436housing units permitted | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Context only | [5] |
| Employer establishments in 2023 | 11,822establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] [6] |
| Employment at employer establishments in 2023 | 165,136employees | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Total retail sales in 2022 | 8,513,767,000usd | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Accommodation and food services sales in 2022 | 2,007,545,000usd | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Context only | [5] |
| Health care and social assistance receipts or revenue in 2022 | 3,879,621,000usd | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Visitors in 2024 | 14,300,000visitors | Calendar year 2024 | Virginia Beach, Virginia | Supports modeled relationship | [7] |
| Visitor spending in 2024 | 2,600,000,000usd | Calendar year 2024 | Virginia Beach, Virginia | Supports research conclusion | [7] |
| Jobs supported by tourism in 2024 | jobs: 34,076; reported share of city jobs percent: 19jobs and percent | Calendar year 2024 | Virginia Beach, Virginia | Context only | [7] |
| Share of visitors reported as day visitors in 2024 | 58.8percent of visitors | Calendar year 2024 | Virginia Beach, Virginia | Supports modeled relationship | [7] |
| Large 2026 Oceanfront events are planned with anticipated attendance of at least 10,000 people per day | minimum expected daily attendance: 10,000; event season: March-December 2026people per day and period | 2026 Oceanfront event season | Virginia Beach Oceanfront and Resort Area | Conditional relationship | [18] [19] [20] |
| Housing units permitted during the 1986 development boom | 8,000housing units permitted | Historical development through 2020 | Virginia Beach, Virginia | Used in scoring | [8] |
| Average annual housing-stock increase from the early 1990s through 2020 | 1,700housing units per year approximate | Historical development through 2020 | Virginia Beach, Virginia | Context only | [8] |
| Affordable owner units in the analyzed stock constructed before 2000 | 98percent of analyzed affordable owner units | Housing conditions principally through 2021-2023, with historical construction and military-household analysis | Virginia Beach affordable owner housing analyzed in the 2024 study | Used in scoring | [9] |
| Owner-occupied housing-unit rate | 65.1percent | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Households spending more than 30 percent of income on housing costs in 2023 | 62,000households approximate | 2023 household and housing-cost-burden estimates | Virginia Beach, Virginia | Used in scoring | [10] [9] |
| Median gross rent in the 2020-2024 profile | 1,714usd per month | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Median household income in 2024 dollars | 92,968usd per year | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Used in scoring | [5] |
| Defense sector share described by the city economic-development profile | reported share: more than one third; regional service members: 80,000; regional military installations: 19; defense supported jobs: 330,000reported share and counts | Regional defense footprint and second-quarter 2025 federal awards | Virginia Beach and Hampton Roads defense ecosystem | Used in scoring | [11] |
| Federal awards received by Virginia Beach businesses in the second quarter of 2025 | award count: 121; award value usd: 559,200,000awards and usd | Regional defense footprint and second-quarter 2025 federal awards | Virginia Beach, Virginia | Used in scoring | [11] |
| Military members exiting service annually in the region and the reported local retention share | annual exiting members minimum: 14,000; reported retained share percent: 50people and percent | Regional defense footprint and second-quarter 2025 federal awards | Hampton Roads | Context only | [11] |
| Active-duty military households identified in the housing study | households: 15,893; share of households percent approximate: 11; family share percent: 77; owner share percent approximate: 50; renter share percent: 49; cost burdened households: 5,891households and percent | Housing conditions principally through 2021-2023, with historical construction and military-household analysis | Virginia Beach active-duty military households | Used in scoring | [9] |
| Mean travel time to work | 23.4minutes | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Context only | [5] |
| Land area in 2020 | 244.72square miles | July 1, 2025 population and housing estimates; 2020-2024 ACS; 2022 Economic Census; 2023 business statistics; 2025 building permits | Virginia Beach, Virginia | Conditional relationship | [5] |
| Virginia Beach retail submarket conditions in Q2 2026 | inventory sqft: 26,319,413; overall vacancy percent: 3.3; current quarter net absorption sqft: 260,019; year to date net absorption sqft: 220,930; under construction sqft: 13,545; average asking rent nnn usd per sqft per year: 21.34market statistics | Second quarter 2026 | Virginia Beach retail submarket | Used in scoring | [14] |
| Hampton Roads quoted retail lease rates relative to the start of 2024 | 8.4percent increase | Second quarter 2026 | Hampton Roads retail market | Used in scoring | [14] |
| Hampton Roads industrial vacancy by product type in Q2 2026 | overall vacancy percent: 8.3; warehouse distribution vacancy percent: 9.5; general industrial vacancy percent: 5.9; flex vacancy percent: 6.1; sublease availability percent: 0.7; average asking rent usd per sqft per year: 9.17market statistics | Second quarter 2026 | Hampton Roads industrial market | Context only | [15] [16] |
| Selected major-group employment and mean hourly wages in May 2025 | all occupations mean hourly usd: 30.83; us all occupations mean hourly usd: 33.54; food preparation serving mean hourly usd: 17.57; building grounds cleaning maintenance mean hourly usd: 17.84; personal care service mean hourly usd: 17.87; construction extraction mean hourly usd: 27.87; installation maintenance repair mean hourly usd: 29.58; construction extraction employment: 41,190usd per hour and jobs | May 2025 | Virginia Beach-Chesapeake-Norfolk, VA-NC | Context only | [12] |
| Metropolitan labor force and major-industry employment in June 2026 | unemployment rate percent: 4; total nonfarm employment thousands: 835.6; construction employment thousands: 42.3; construction year over year change percent: -2.3; professional business services employment thousands: 122.1; education health services employment thousands: 127.8; leisure hospitality employment thousands: 100.9; government employment thousands: 164.8percent and thousands of jobs | Labor force and nonfarm employment through June 2026 | Virginia Beach-Chesapeake-Norfolk, VA-NC | Context only | [13] |
| HRBT Expansion project cost and contractual final-completion date | project cost usd: 3,965,000,000; final completion date: 2027-08-27; corridor length miles approximate: 10usd date and miles | Project schedule and cost status through annual update No. 7 | I-64 Hampton Roads Bridge-Tunnel corridor in Norfolk and Hampton | Conditional relationship | [17] |
| Oceanfront Resort District regulates building form and includes project- and location-specific design, access, parking, sign, and use controls | regulated elements: frontage, street setback, height, building form, placement, sign design; conditional processes: optional forms of development, alternative compliance, enlargement or alteration of nonconforming structures; protected district controls: use limitations, screening, enhanced setbacks, access restrictions; mapped restrictions include: commercial parking lots, bars and nightclubs, drive throughsregulatory features | Current rules accessed August 2026 | Oceanfront Resort District and adjacent protected districts | Conditional relationship | [21] |
| Permanent sign installation may require a permit, plans, and compliance with the sign ordinance and state building code | permit may be required: yes; plans or diagrams may be required: yes; complete application decision target days: 30permit features and days | Current permit guidance accessed August 2026 | Virginia Beach, Virginia | Conditional relationship | [22] |
| Flood Protection Program includes drainage, tide-gate, pump-station, barrier, and watershed projects | voter support year: 2,021; project types: drainage improvements, tide gates, pump stations, barriers, watershed projectsprogram features | 2021 voter-supported program and current project portfolio | Virginia Beach flood-prone areas | Context only | [23] |
| Floodplain requirements vary by mapped zone, location, building use, and project design | freeboard varies by zone and location: yes; nonresidential floodproofing option: yes; southern special flood hazard area fill restrictions: yes; separate flood and wind insurance may be needed: yes; mapped zone examples: AE, VEregulatory and hazard features | Current floodplain requirements accessed August 2026 | Mapped Virginia Beach flood zones and special flood hazard areas | Context only | [24] |
| Base capital-recovery charges for a standard 5/8-inch commercial or single-family configuration in the listed no-pump-station case | water capital recovery usd: 2,900; sewer capital recovery usd: 2,521; combined capital recovery usd: 5,421usd | Current rates and capital-recovery schedules accessed August 2026 | Virginia Beach Public Utilities service area | Context only | [25] |
| Fiscal year 2027 water rates effective July 1, 2026 | monthly water availability charge usd: 6.3; water usage charge usd per 1000 gallons: 6.54; sewer rate increase: nousd and boolean | Fiscal year 2027 rates effective July 1, 2026 | Virginia Beach Public Utilities customers | Context only | [26] |
| Green Line growth-management framework channels growth and infrastructure toward the northern half while preserving the rural south | introduced year: 1,979; growth focus: northern half and strategic growth areas; preservation focus: rural southern areaplanning framework | Current comprehensive-plan framework accessed August 2026; Green Line introduced in 1979 | Virginia Beach, Virginia | Conditional relationship | [27] |
| City supplier portal provides access to procurement updates and solicitations | supplier registration available: yes; solicitation view and response available: yes; procurement updates available: yesprocurement features | Current procurement process accessed August 2026 | City of Virginia Beach | Used in scoring | [28] |
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 whose applicability is established at the report’s current geographic and operating scope.
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 73.20 after target-market demand +3.2 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 claims or metrics it supports. Internal or supplied research is clearly distinguished from publicly accessible evidence.
- 1Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
- 2Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
- 3Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
- 4Franchise data - remake - Combine2 (1)Internal or supplied research; not publicly accessible.
- 5QuickFacts: Virginia Beach city (County), Virginia
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimates base to July 2025, Households in the 2020-2024 Census profile, Estimated housing units on July 1, 2025, and Residential building permits in 2025
- 6Census Data Profile: Virginia Beach city, Virginia
Used for: Employer establishments in 2023
- 7Tourism Continues to Fuel Economic Growth in Virginia Beach with $3.9B Total Impact in 2024
Used for: Visitors in 2024, Visitor spending in 2024, Jobs supported by tourism in 2024, and Share of visitors reported as day visitors in 2024
- 8Housing: Overview of Virginia Beach Housing Characteristics and Opportunities
Used for: Housing units permitted during the 1986 development boom and Average annual housing-stock increase from the early 1990s through 2020
- 92024 Virginia Beach Housing Study
Used for: Affordable owner units in the analyzed stock constructed before 2000, Households spending more than 30 percent of income on housing costs in 2023, and Active-duty military households identified in the housing study
- 10Housing Matters: Framing the Need
Used for: Households spending more than 30 percent of income on housing costs in 2023
- 11Defense: Virginia Beach, America's Military Metro
Used for: Defense sector share described by the city economic-development profile, Federal awards received by Virginia Beach businesses in the second quarter of 2025, and Military members exiting service annually in the region and the reported local retention share
- 12Occupational Employment and Wages in Virginia Beach-Chesapeake-Norfolk — May 2025
Used for: Selected major-group employment and mean hourly wages in May 2025
- 13Virginia Beach-Chesapeake-Norfolk, VA-NC Economy at a Glance
Used for: Metropolitan labor force and major-industry employment in June 2026
- 14Hampton Roads Retail MarketBeat Q2 2026
Used for: Virginia Beach retail submarket conditions in Q2 2026 and Hampton Roads quoted retail lease rates relative to the start of 2024
- 15Hampton Roads Industrial Market Overview Q2 2026
Used for: Hampton Roads industrial vacancy by product type in Q2 2026
- 16Hampton Roads Industrial MarketBeat Q2 2026
Used for: Hampton Roads industrial vacancy by product type in Q2 2026
- 17I-64 Hampton Roads Bridge-Tunnel Expansion Project Annual Financial Plan Update No. 7
Used for: HRBT Expansion project cost and contractual final-completion date
- 182026 Oceanfront Event Season: Community Meeting Follow-up and Event Schedule
Used for: Large 2026 Oceanfront events are planned with anticipated attendance of at least 10,000 people per day
- 19Logistics for Locals: Navigating the 2026 Oceanfront Event Season
Used for: Large 2026 Oceanfront events are planned with anticipated attendance of at least 10,000 people per day
- 20Road Closures & Impacts
Used for: Large 2026 Oceanfront events are planned with anticipated attendance of at least 10,000 people per day
- 21Oceanfront Resort District Form-Based Code
Used for: Oceanfront Resort District regulates building form and includes project- and location-specific design, access, parking, sign, and use controls
- 22Sign Permits
Used for: Permanent sign installation may require a permit, plans, and compliance with the sign ordinance and state building code
- 23Flood Protection Program
Used for: Flood Protection Program includes drainage, tide-gate, pump-station, barrier, and watershed projects
- 24Floodplain Management
Used for: Floodplain requirements vary by mapped zone, location, building use, and project design
- 25Rates, Fees & Charges
Used for: Base capital-recovery charges for a standard 5/8-inch commercial or single-family configuration in the listed no-pump-station case
- 26New Fees/Rates Effective July 1
Used for: Fiscal year 2027 water rates effective July 1, 2026
- 27Strategic Growth Areas
Used for: Green Line growth-management framework channels growth and infrastructure toward the northern half while preserving the rural south
- 28Supplier Services
Used for: City supplier portal provides access to procurement updates and solicitations
- 29
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.