70.6 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Richmond, Virginia
We compared 14 franchise concepts for Richmond, Virginia. Local business demand was a leading positive mechanism. Legacy-system service complexity was a leading operating constraint.
What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.
14Concepts evaluated
25Sources used
14Primary sources
29Local 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 10 affected concepts
0.3 points average reduction among 7 affected concepts
Tested rank range spans 8 positions
Executive conclusion
What the ranking means for Richmond, Virginia
City Wide, ActionCOACH, and FASTSIGNS 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. One important asymmetry was that the same local condition supported replacement and repair demand while also creating legacy-system service complexity. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 73.0Tier 2 · Favorable modeled alignment | +2.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 72.4Tier 2 · Favorable modeled alignment | +1.8 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 72.3Tier 2 · Favorable modeled alignment | +2.0 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 4 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 72.1Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 5 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 71.8Tier 3 · Mixed modeled alignment | +1.2 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 6 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 70.8Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 70.6Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | PuroCleanRestorationInvestment: $54,575–$262,145 | 70.6Tier 3 · Mixed modeled alignment | +0.5 ptsReferral ecosystem | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 70.3Tier 3 · Mixed modeled alignment | +0.2 ptsProperty replacement-cycle demand | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 70.3Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Richmond, Virginia
Growing city population, employer base, and large institutional cluster support broad local business demand
This relationship affected 10 concepts and added 1.1 points on average among those exposed. Local evidence: Total employer establishments in 2023: 6,530 establishments. [6] [5]
Older city housing and designated historic districts create repair demand and property-specific execution complexity
The same local condition created complementary effects: replacement and repair demand supported exposed concepts while legacy-system service complexity constrained others. [17] [6] [7]
asset-light-b2b
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 property replacement-cycle demand. [6] [5] [4] [9]
Evidence behind the city mechanisms
Growing city population, employer base, and large institutional cluster support broad local business demand1 modeled effect
Local business demandTarget-market demand
Older city housing and designated historic districts create repair demand and property-specific execution complexity3 local facts · 2 modeled effects · 5 sources
- City-designated Old and Historic Districts covered by the handbook: 16 districts [17]
- Estimated total housing units in 2024: 117,511 housing units [6] [7]
- Commission of Architectural Review review for exterior changes in Old and Historic Districts: exterior changes reviewed: yes; certificate of appropriateness required for approved projects: yes policy condition [16] [17] [4]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Managed curb space, corridor time limits, vehicle-weight rules, and meter-occupation permits can constrain specific service routes1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
VCU and VCU Health create a concentrated institutional, professional, and alumni-business network in Richmond1 modeled effect
Professional and institutional relationship densityReferral ecosystem
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 alignment73.0
City Wide
Initial investment: $229,729–$410,730
Increase +2.2 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +2.2 pts |
| Referral ecosystem |
| +0.8 pts |
| Net local movement | +2.96 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 | +2.2 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.96 |
| Published local-market alignment | 73.0 |
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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.2 pts
- Tested rank range
- #1–#1
#2Tier 2 · Favorable modeled alignment72.4
ActionCOACH
Initial investment: $71,668–$303,513
Increase +1.8 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 |
| +1.8 pts |
| Referral ecosystem |
| +0.6 pts |
| Net local movement | +2.42 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 | +1.8 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 72.42 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.8 pts
- Tested rank range
- #2–#4
#3Tier 2 · Favorable modeled alignment72.3
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +2.0 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 |
| +2.0 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | +2.33 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 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 | +2.0 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 72.33 |
| Published local-market alignment | 72.3 |
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
- Limited
- Factor Research Coverage
- Adequate
- 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
- #2–#7
#4Tier 2 · Favorable modeled alignment72.1
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +1.9 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 |
| +1.9 pts |
| Referral ecosystem |
| +0.2 pts |
| Net local movement | +2.11 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
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 | +1.9 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 72.11 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #3–#8
#5Tier 3 · Mixed modeled alignment71.8
HomeSmiles
Initial investment: $148,110–$201,800
Increase +1.2 pts Target-market demandNo material negative local adjustment identified
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +1.2 pts |
| Referral ecosystem |
| +0.6 pts |
| Net local movement | +1.76 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 | +1.2 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| 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 | 71.76 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.2 pts
- Tested rank range
- #5–#5
#6Tier 3 · Mixed modeled alignment70.8
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +0.4 pts Referral ecosystemReduction -0.4 pts Labor and staffing friction
Rank sensitivity: Stable
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 |
| -0.4 pts |
| Referral ecosystem |
| +0.4 pts |
| Target-market demand |
| +0.4 pts |
| Property replacement-cycle demand |
| +0.4 pts |
| Net local movement | +0.81 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 | +0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.81 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.4 pts
- Tested rank range
- #6–#6
#7Tier 3 · Mixed modeled alignment70.6
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.5 pts Referral ecosystemReduction -0.2 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Referral ecosystem |
| +0.5 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Labor and staffing friction |
| -0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.62 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 | +0.3 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.62 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.5 pts
- Tested rank range
- #3–#11
#8Tier 3 · Mixed modeled alignment70.6
PuroClean
Initial investment: $54,575–$262,145
Increase +0.5 pts Referral ecosystemReduction -0.2 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Referral ecosystem |
| +0.5 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Labor and staffing friction |
| -0.2 pts |
| Transportation, routing, and parking | Route and curb productivity pressure EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.62 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 | +0.3 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.62 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.5 pts
- Tested rank range
- #4–#12
#9Tier 3 · Mixed modeled alignment70.3
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.2 pts Property replacement-cycle demandReduction -0.1 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Property replacement-cycle demand |
| +0.2 pts |
| Target-market demand |
| +0.2 pts |
| Labor and staffing friction |
| -0.1 pts |
| Net local movement | +0.27 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 | -0.1 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| 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 | 70.27 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.2 pts
- Tested rank range
- #7–#11
#10Tier 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: 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 |
| +0.3 pts |
| Net local movement | +0.27 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.27 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #8–#13
#11Tier 3 · Mixed modeled alignment70.3
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +0.4 pts Property replacement-cycle demandReduction -0.4 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.4 pts |
| Property replacement-cycle demand |
| +0.4 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 | +0.25 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 | +0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.25 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.4 pts
- Tested rank range
- #9–#13
#12Tier 3 · Mixed modeled alignment70.2
Aire Serv
Initial investment: $113,308–$271,708
Increase +0.4 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.5 pts |
| Property replacement-cycle demand |
| +0.4 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 | +0.24 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 | +0.3 |
| Property replacement-cycle demand | +0.4 |
| 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 | Depends on the specific site, territory, or operating condition |
| 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 | 70.24 |
| 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
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #9–#13
#13Tier 3 · Mixed modeled alignment70.0
Workout Anytime
Initial investment: $1,060,850–$1,840,550
No material positive local adjustment identifiedNo 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.
No material scored local adjustment was identified for this concept.
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 | 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.00 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- 0.0 pts
- Tested rank range
- #11–#14
#14Tier 3 · Mixed modeled alignment69.8
Mister Sparky Electric
Increase +0.3 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction |
| -0.5 pts |
| 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 | -0.16 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 | -0.5 |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| 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 | 69.84 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Limited
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #12–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not mistaken for a score-changing effect.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Not included in the score |
| Transportation, routing, and parking | Depends on the specific site, territory, or operating condition |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.96 |
| Published local-market alignment | 73.0 |
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 10 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. FASTSIGNS moved from #3 to #7, the largest movement among concepts directly affected by this factor.
Concepts adjusted10 of 14
Average among affected+1.1 pts
Average across all concepts+0.8 pts
Concepts changing rank8
What we observed
- Resident Population Estimate On July 1, 2025237,257 people
- Population Change From The April 2020 Estimate Base To July 20254.7 percent
- Total Employer Establishments In 20236,530 establishments
Concepts helped most
City WideFacility management
+2.2 pts
FASTSIGNSSigns and graphics
+2.0 pts
Jan-Pro InternationalCommercial cleaning
+1.9 pts
ActionCOACHBusiness coaching
+1.8 pts
HomeSmilesProperty maintenance services
+1.2 pts
Observed model effectMixed or model dependent
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. Pillar To Post Home Inspectors moved from #9 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.3 pts
Average across all concepts+0.2 pts
Concepts changing rank5
Concepts helped most
ZOOM DRAINDrain and sewer service
+0.4 pts
Mr. RooterPlumbing
+0.4 pts
Aire ServHVAC installation, repair, and maintenance
+0.4 pts
Mister Sparky ElectricElectrical
+0.3 pts
PuroCleanRestoration
+0.3 pts
Observed model effectMixed or model dependent
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Mr. Rooter moved from #11 to #9, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected-0.3 pts
Average across all concepts-0.2 pts
Concepts changing rank8
Concepts challenged most
Mister Sparky ElectricElectrical
-0.5 pts
Aire ServHVAC installation, repair, and maintenance
-0.5 pts
Mr. RooterPlumbing
-0.4 pts
ZOOM DRAINDrain and sewer service
-0.4 pts
PuroCleanRestoration
-0.2 pts
Observed model effectMixed or model dependent
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. Rainbow International Restoration moved from #7 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted8 of 14
Average among affected+0.5 pts
Average across all concepts+0.3 pts
Concepts changing rank9
What we observed
- Health Care And Social Assistance Receipts Or Revenue In 20224,910,263,000 usd
- Virginia Commonwealth University Student And Employment Scalestudents enrolled: 29,288; vcu and vcu health employees minimum: 27,000; residence hall capacity: 5,962 people and beds
- Vcu Reported Alumni Owned Businesses In Richmond And Local Alumni Sharealumni owned businesses minimum: 1,200; alumni living in richmond: 39 businesses and percent
Concepts helped most
City WideFacility management
+0.8 pts
ActionCOACHBusiness coaching
+0.6 pts
HomeSmilesProperty maintenance services
+0.6 pts
PuroCleanRestoration
+0.5 pts
Rainbow International RestorationRestoration
+0.5 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Transportation, routing, and parkingNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
#1 City WideStable · tested #1–#1
#2 ActionCOACHModerately sensitive · tested #2–#4
#3 FASTSIGNSHighly sensitive · tested #2–#7
#4 Jan-Pro InternationalHighly sensitive · tested #3–#8
#5 HomeSmilesStable · tested #5–#5
#6 ZOOM DRAINStable · tested #6–#6
#7 Rainbow International RestorationHighly sensitive · tested #3–#11
#8 PuroCleanHighly sensitive · tested #4–#12
#9 Pillar To Post Home InspectorsHighly sensitive · tested #7–#11
#10 Tiger AdjustersHighly sensitive · tested #8–#13
#11 Mr. RooterHighly sensitive · tested #9–#13
#12 Aire ServHighly sensitive · tested #9–#13
#13 Workout AnytimeModerately sensitive · tested #11–#14
#14 Mister Sparky ElectricModerately sensitive · tested #12–#14
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
Primary source records by factorTarget-market demand: [5] [6] [7] [9] [12] [14] [15] [2]Property replacement-cycle demand: [6] [7] [8] [16] [17] [2]Competitive environment: [6] [5] [12] [4]Labor and staffing friction: [10] [11] [9] [8] [17] [2]Transportation, routing, and parking: [5] [19] [20] [21] [22] [18] [4] [3]Real estate and site feasibility: [12] [13] [14] [15] [16] [18] [2]Sales and customer acquisition: [6] [9] [23] [24] [25] [4]Referral ecosystem: [9] [5] [23] [24] [25] [4]Territory quality: [5] [6] [17] [18] [20] [12] [13] [14] [4] [2]Regulatory and operating friction: [16] [17] [18] [21] [22] [23] [24] [4] [3]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Referral ecosystem |
|---|---|---|---|---|
| #1 City Wide | +2.2 pts | — | — | +0.8 pts |
| #2 ActionCOACH | +1.8 pts | — | — | +0.6 pts |
| #3 FASTSIGNS | +2.0 pts | — | — | +0.3 pts |
| #4 Jan-Pro International | +1.9 pts | — | — | +0.2 pts |
| #5 HomeSmiles | +1.2 pts | — | — | +0.6 pts |
| #6 ZOOM DRAIN | +0.4 pts | +0.4 pts | -0.4 pts | +0.4 pts |
| #7 Rainbow International Restoration | — | +0.3 pts | -0.2 pts | +0.5 pts |
| #8 PuroClean | — | +0.3 pts | -0.2 pts | +0.5 pts |
| #9 Pillar To Post Home Inspectors | +0.2 pts | +0.2 pts | -0.1 pts | — |
| #10 Tiger Adjusters | +0.3 pts | — | — | — |
| #11 Mr. Rooter | +0.3 pts | +0.4 pts | -0.4 pts | — |
| #12 Aire Serv | +0.3 pts | +0.4 pts | -0.5 pts | — |
| #13 Workout Anytime | — | — | — | — |
| #14 Mister Sparky Electric | — | +0.3 pts | -0.5 pts | — |
Interpretation
How to interpret the result
City Wide, ActionCOACH, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for FASTSIGNS, Jan-Pro International, Rainbow International Restoration; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Richmond, Virginia
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
70.6Best Restoration franchise opportunities we assessed in Richmond, Virginia
2 Restoration concepts qualified for comparison, with scores ranging from 70.6 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.5 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.2 points on average.
Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.6–70.6
- Category average
- 70.6
Rainbow International Restoration70.6
PuroClean70.6
Metric registry
The 29 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 | 237,257people | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Used in scoring | [5] |
| Population change from the April 2020 estimate base to July 2025 | 4.7percent | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Used in scoring | [5] |
| Estimated households in 2024 | 108,990households | 2024 ACS 1-year estimates and 2023 County Business Patterns | Richmond city, Virginia | Context only | [6] [7] |
| Total employer establishments in 2023 | 6,530establishments | 2024 ACS 1-year estimates and 2023 County Business Patterns | Richmond city, Virginia | Used in scoring | [6] |
| Health care and social assistance receipts or revenue in 2022 | 4,910,263,000usd | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Used in scoring | [5] |
| Transportation and warehousing receipts or revenue in 2022 | 1,204,369,000usd | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Context only | [5] |
| Total retail sales and retail sales per capita in 2022 | total retail sales: 2,722,749,000; retail sales per capita: 11,923usd | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Context only | [5] |
| City household income and poverty compared with the Richmond metropolitan area in 2024 | city median household income: 63,390; metro median household income: 83,460; city poverty rate: 18.1; metro poverty rate: 11mixed usd and percent | 2024 ACS 1-year estimates unless otherwise noted | Richmond city and Richmond, Virginia metropolitan area | Context only | [7] |
| Estimated total housing units in 2024 | 117,511housing units | 2024 ACS 1-year estimates and 2023 County Business Patterns | Richmond city, Virginia | Supports modeled relationship | [6] [7] |
| Owner-occupied housing unit rate | 43.5percent | July 1, 2025 population estimate; 2020-2024 characteristics; 2022 economic measures | Richmond city, Virginia | Context only | [5] |
| Median year structure built | 1,962year | ACS estimates presented by the publisher; exact five-year vintage was not exposed in the retrieved page | Richmond city, Virginia housing units | Supports modeled relationship | [8] [2] |
| City-designated Old and Historic Districts covered by the handbook | 16districts | Current handbook referenced by the City as the review standard; originally adopted in 1999 | City of Richmond Old and Historic Districts | Conditional relationship | [17] |
| Virginia Commonwealth University student and employment scale | students enrolled: 29,288; vcu and vcu health employees minimum: 27,000; residence hall capacity: 5,962people and beds | Fall 2025 enrollment; FY 2025 research; current institutional facts accessed August 2026 | Virginia Commonwealth University and VCU Health in Richmond | Used in scoring | [9] |
| VCU-reported alumni-owned businesses in Richmond and local alumni share | alumni owned businesses minimum: 1,200; alumni living in richmond: 39businesses and percent | Fall 2025 enrollment; FY 2025 research; current institutional facts accessed August 2026 | VCU alumni network in Richmond | Used in scoring | [9] |
| Richmond retail market overall vacancy in Q2 2026 | 3.6percent | Second quarter 2026 | Richmond retail market | Conditional relationship | [12] [2] |
| Consecutive quarters with Richmond retail vacancy below 4 percent through Q2 2026 | 19quarters | Second quarter 2026 | Richmond retail market | Conditional relationship | [12] |
| Richmond industrial market vacancy, availability, asking rate, and pipeline in Q2 2026 | vacancy rate: 5.5; availability rate: 6.7; average asking rate: 8.86; construction pipeline sqft: 12,600,000; net absorption sqft: 136,000mixed percent usd per sqft and sqft | Second quarter 2026 | Richmond industrial market | Conditional relationship | [13] [2] |
| Richmond office market vacancy, availability, and asking rent in Q2 2026 | vacancy rate: 11.4; availability rate: 14.3; average asking rate: 21.9; occupancy loss sqft: 8,300mixed percent usd per sqft and sqft | Second quarter 2026 | Richmond office market | Conditional relationship | [14] [2] |
| CBD share of reported Richmond office leasing activity in Q2 2026 | 42percent of reported leasing activity | Second quarter 2026 | Richmond central business district | Context only | [15] |
| Selected Richmond metropolitan occupational group wages compared with national means in May 2025 | all occupations: richmond: 32.89, united states: 33.54; food preparation and serving: richmond: 18.03, united states: 17.86; building and grounds cleaning maintenance: richmond: 18.2, united states: 19.66; construction and extraction: richmond: 27.67, united states: 31.42; installation maintenance and repair: richmond: 29.59, united states: 30.44; transportation and material moving: richmond: 22.58, united states: 23.96usd per hour | May 2025 | Richmond, Virginia metropolitan statistical area | Context only | [10] [2] |
| Virginia adjusted state hourly minimum wage effective January 1, 2026 | 12.77usd per hour | Rate effective January 1, 2026 through December 31, 2026 | Virginia covered employees | Context only | [11] |
| Commission of Architectural Review review for exterior changes in Old and Historic Districts | exterior changes reviewed: yes; certificate of appropriateness required for approved projects: yespolicy condition | Current program framework accessed August 2026 | City of Richmond Old and Historic Districts | Conditional relationship | [16] [17] [4] |
| Floodplain development review and federally required insurance for certain financed structures in mapped special flood hazard areas | strict development guidelines: yes; flood insurance for covered new loans in sfha: yespolicy condition | Current floodplain framework accessed August 2026 | Richmond floodplains and FEMA special flood hazard areas | Conditional relationship | [18] [4] [3] |
| On-street parking spaces supported by City mobile payment apps, primarily downtown | 2,270parking spaces minimum | Current parking system accessed August 2026 | Primarily downtown Richmond | Conditional relationship | [19] |
| Timed parking on selected high-demand Scott’s Addition commercial corridors beginning January 5, 2026 | effective date: 2026-01-05; selected commercial corridors: yes; evaluation year: 2,027policy condition | Parking enforcement beginning January 5, 2026, with outcome evaluation planned for 2027 | Greater Scott’s Addition | Conditional relationship | [20] [4] |
| Parking restriction for vehicles over 6,500 pounds in residential districts, with expeditious loading and unloading exception | weight threshold pounds: 6,500; residential parking prohibited: yes; loading unloading exception: yes; market area exemption: yesregulatory threshold | Effective August 29, 2023; accessed August 2026 | Richmond residential districts and stated market-area exemption | Conditional relationship | [21] |
| Fee formula for permits occupying metered parking spaces | percentage of daily meter charge: 50; multiplied by spaces: yes; multiplied by days: yespercent and formula | Current permit framework accessed August 2026 | City of Richmond metered parking spaces | Conditional relationship | [22] |
| City supplier registration requirements and stated approval time | isupplier registration required: yes; required documents: IRS W-9, ACH/EDI payment agreement, bank supporting documentation; approval time business days minimum: 3; approval time business days maximum: 5process requirement | Current supplier-registration process accessed August 2026 | City of Richmond procurement | Context only | [23] |
| Electronic solicitation submission and eBond requirements for applicable City construction contracts | opengov electronic submission required: yes; ebond effective date: 2026-07-01; ebond scope: applicable construction contractsprocess requirement | Current solicitation workflow and electronic-bond requirement effective July 1, 2026 | City of Richmond procurement | Context only | [24] |
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 72.96 after target-market demand +2.2 pts and referral ecosystem +0.8 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 taxonomy referenceInternal or supplied research; not publicly accessible.
- 2Supplied multi-city structural operating research docket (I 42)Internal or supplied research; not publicly accessible.
Used for: Median year structure built, Richmond retail market overall vacancy in Q2 2026, Richmond industrial market vacancy, availability, asking rate, and pipeline in Q2 2026, Richmond office market vacancy, availability, and asking rent in Q2 2026, and Selected Richmond metropolitan occupational group wages compared with national means in May 2025
- 3Forensic Audit Report: Structural Capital Constraints and Jurisdictional Risk ProfilesInternal or supplied research; not publicly accessible.
Used for: Floodplain development review and federally required insurance for certain financed structures in mapped special flood hazard areas
- 4Franchise neighborhood operating notesInternal or supplied research; not publicly accessible.
Used for: Commission of Architectural Review review for exterior changes in Old and Historic Districts, Floodplain development review and federally required insurance for certain financed structures in mapped special flood hazard areas, and Timed parking on selected high-demand Scott’s Addition commercial corridors beginning January 5, 2026
- 5QuickFacts: Richmond city, Virginia
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Health care and social assistance receipts or revenue in 2022, Transportation and warehousing receipts or revenue in 2022, and Total retail sales and retail sales per capita in 2022
- 6Richmond city, Virginia Census Bureau Profile
Used for: Estimated households in 2024, Total employer establishments in 2023, and Estimated total housing units in 2024
- 7Richmond, VA profile data
Used for: Estimated households in 2024, City household income and poverty compared with the Richmond metropolitan area in 2024, and Estimated total housing units in 2024
- 9Facts and rankings
Used for: Virginia Commonwealth University student and employment scale and VCU-reported alumni-owned businesses in Richmond and local alumni share
- 10Occupational Employment and Wages in Richmond — May 2025
Used for: Selected Richmond metropolitan occupational group wages compared with national means in May 2025
- 11Virginia Minimum Wage Rate Increasing Effective January 1, 2026
Used for: Virginia adjusted state hourly minimum wage effective January 1, 2026
- 12Richmond MarketBeat Reports
Used for: Richmond retail market overall vacancy in Q2 2026 and Consecutive quarters with Richmond retail vacancy below 4 percent through Q2 2026
- 13Richmond Industrial Figures Q2 2026
Used for: Richmond industrial market vacancy, availability, asking rate, and pipeline in Q2 2026
- 14Richmond Office Figures Q2 2026
Used for: Richmond office market vacancy, availability, and asking rent in Q2 2026
- 15Richmond Office Market Report — Q2 2026
Used for: CBD share of reported Richmond office leasing activity in Q2 2026
- 16Commission of Architectural Review
Used for: Commission of Architectural Review review for exterior changes in Old and Historic Districts
- 17Richmond Old & Historic Districts Handbook and Design Review Guidelines
Used for: City-designated Old and Historic Districts covered by the handbook and Commission of Architectural Review review for exterior changes in Old and Historic Districts
- 18Floodplain Management
Used for: Floodplain development review and federally required insurance for certain financed structures in mapped special flood hazard areas
- 19Parking Enterprise
Used for: On-street parking spaces supported by City mobile payment apps, primarily downtown
- 20City of Richmond Announces Parking Enforcement Update for Scott’s Addition Beginning January 5, 2026
Used for: Timed parking on selected high-demand Scott’s Addition commercial corridors beginning January 5, 2026
- 21Richmond Police Department General Order 08-08: Parking Regulations
Used for: Parking restriction for vehicles over 6,500 pounds in residential districts, with expeditious loading and unloading exception
- 22Right-of-Way Management
Used for: Fee formula for permits occupying metered parking spaces
- 23Supplier Portal
Used for: City supplier registration requirements and stated approval time
- 24Solicitations
Used for: Electronic solicitation submission and eBond requirements for applicable City construction contracts
- 25
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.