68.8 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Arlington, Virginia
We compared 14 franchise concepts for Arlington, Virginia. Local business demand was a leading positive mechanism. Skilled-trade labor competition 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
20Sources used
17Primary sources
24Local 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
1.3 points average among 12 affected concepts
0.9 points average reduction among 13 affected concepts
Tested rank range spans 6 positions
Executive conclusion
What the ranking means for Arlington, 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. Skilled-trade labor competition was the broadest operating constraint, reducing exposed concepts by 0.8 points on average. City Wide was especially relationship-sensitive: removing local business demand moved it from #1 to #2 in the full model rerun. These scores describe local operating alignment, not expected returns or overall franchise quality; the offered territory and franchise economics still require separate diligence.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
Rankings use full-precision scores.Displayed values use one decimal place. Identical displayed scores can therefore have different ranks, and close results should be treated as effectively similar.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 72.8Tier 2 · Favorable modeled alignment | +2.3 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 72.5Tier 2 · Favorable modeled alignment | +1.9 ptsTarget-market demand | No material negative local adjustment | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.7Tier 3 · Mixed modeled alignment | +2.1 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 71.5Tier 3 · Mixed modeled alignment | +2.0 ptsTarget-market demand | -0.9 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 70.7Tier 3 · Mixed modeled alignment | +2.0 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 70.5Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -0.4 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 69.9Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Workout AnytimeFitnessInvestment: $1,060,850–$1,840,550 | 69.7Tier 3 · Mixed modeled alignment | +0.5 ptsTarget-market demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | ZOOM DRAINDrain and sewer serviceInvestment: $266,250–$570,500 | 69.5Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 69.1Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Arlington, Virginia
A large employer and establishment base supports local B2B demand without proving category-specific customer-acquisition competition
This relationship affected 10 concepts and added 1.1 points on average among those exposed. Local evidence: Jobs by Arlington planning corridor: rosslyn ballston jobs: 87,600; richmond highway jobs: 51,000; columbia pike jobs: 8,600; langston boulevard jobs: 4,000. [4]
Installation, maintenance, and repair labor is more highly paid and less prevalent by employment share in the Washington metro than nationally
This relationship affected 10 concepts and reduced 0.8 points on average among those exposed. Local evidence: Washington metropolitan skilled-trade wages and employment shares versus national averages: construction and extraction: washington mean hourly dollars: 32.76, us mean hourly dollars: 31.42, washington employment share percent: 3.6, us employment share percent: 4.1; installation maintenance and repair: washington mean hourly dollars: 33.49, us mean hourly dollars: 30.44, washington employment share percent: 2.8, us employment share percent: 3.9 wages and employment shares. [10]
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 labor and staffing friction. [10] [18] [6] [13] [4] [17] [3] [12] [11]
Evidence behind the city mechanisms
A large employer and establishment base supports local B2B demand without proving category-specific customer-acquisition competition1 modeled effect
Local business demandTarget-market demand
Recent housing additions are overwhelmingly multifamily, supporting incremental scheduled household and property-service demand1 modeled effect
Household service demandTarget-market demand
Older housing is concentrated in specific Arlington corridors, supporting repair and replacement demand with property-level system-age uncertainty2 local facts · 2 modeled effects · 2 sources
- Housing units and multifamily share: total housing units: 127,087; multifamily units: 92,374; multifamily share percent: 72.7 housing units and percent [4]
- Older residential construction is materially more concentrated in Columbia Pike and Langston Boulevard than in the R-B and Richmond Highway corridors: finding: The 2026 County Profile corridor distributions show a substantially older housing profile in Columbia Pike and Langston Boulevard and a more recent multifamily profile in R-B and Richmond Highway.; interpretation limit: Year built does not establish whether original HVAC, plumbing, electrical, roofing, or other systems remain in place. qualitative distribution finding [4] [1]
Replacement and repair demandProperty replacement-cycle demand
Legacy-system service complexityLabor and staffing friction
Washington-area frontline wages are above national averages in several franchise-relevant occupational groups1 modeled effect
Frontline labor pressureLabor and staffing friction
Installation, maintenance, and repair labor is more highly paid and less prevalent by employment share in the Washington metro than nationally1 modeled effect
Skilled-trade labor competitionLabor and staffing friction
Dense-corridor loading rules and large-commercial-vehicle parking limits constrain some high-stop and large-vehicle operating patterns1 modeled effect
Route and curb productivity pressureTransportation, routing, and parking
Professional, technical, and government concentrations create relationship-driven account potential while public procurement adds buyer-specific process requirements3 local facts · 2 modeled effects · 2 sources
- Jobs by Arlington planning corridor: rosslyn ballston jobs: 87,600; richmond highway jobs: 51,000; columbia pike jobs: 8,600; langston boulevard jobs: 4,000 [4]
- Professional/technical and government employment concentration: professional and technical services jobs: 57,800; professional and technical services share percent: 26.3; government jobs: 43,100; government share percent: 19.6 jobs and percent of at place jobs [4]
- Arlington County supplier registration, solicitation workflow, and service-contract living-wage condition: supplier portal: PRISM+; new suppliers register: yes; formal solicitations posted in portal: yes; contracts negotiations invoices and payments managed in portal: yes; living wage service contract threshold annual value dollars: 50,000; living wage dollars per hour: 17; living wage scope: specified County-owned/controlled property, exclusive County service locations, or home-based service contracts procurement conditions [17]
Professional and institutional relationship densityReferral ecosystem
Institutional procurement-cycle frictionSales and customer acquisition
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
#1Tier 2 · Favorable modeled alignment72.8
City Wide
Initial investment: $229,729–$410,730
Increase +2.3 pts Target-market demandReduction -0.3 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 |
|---|---|---|
| Target-market demand |
| +2.3 pts |
| Referral ecosystem |
| +0.8 pts |
| Labor and staffing friction |
| -0.3 pts |
| Net local movement | +2.85 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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Effect below the publication threshold |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +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 | 72.85 |
| Published local-market alignment | 72.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.3 pts
- Tested rank range
- #1–#2
#2Tier 2 · Favorable modeled alignment72.5
ActionCOACH
Initial investment: $71,668–$303,513
Increase +1.9 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 |
| +1.9 pts |
| Referral ecosystem |
| +0.7 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +2.50 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 | +1.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | Effect below the publication threshold |
| Transportation, routing, and parking | Effect below the publication threshold |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.7 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 72.50 |
| Published local-market alignment | 72.5 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.9 pts
- Tested rank range
- #1–#2
#3Tier 3 · Mixed modeled alignment71.7
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +2.1 pts Target-market demandReduction -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 |
|---|---|---|
| Target-market demand |
| +2.1 pts |
| Labor and staffing friction |
| -0.4 pts |
| Referral ecosystem |
| +0.4 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | +1.73 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
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 | +2.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.73 |
| Published local-market alignment | 71.7 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.1 pts
- Tested rank range
- #3–#4
#4Tier 3 · Mixed modeled alignment71.5
HomeSmiles
Initial investment: $148,110–$201,800
Increase +2.0 pts Target-market demandReduction -0.9 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 |
|---|---|---|
| Target-market demand | +2.0 pts | |
| Labor and staffing friction | -0.9 pts | |
| Referral ecosystem |
| +0.6 pts |
| Transportation, routing, and parking |
| -0.2 pts |
| Net local movement | +1.48 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 | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.9 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| 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 | 71.48 |
| 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
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #3–#4
#5Tier 3 · Mixed modeled alignment70.7
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +2.0 pts Target-market demandReduction -1.3 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 |
|---|---|---|
| Target-market demand |
| +2.0 pts |
| Labor and staffing friction |
| -1.3 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Referral ecosystem |
| +0.2 pts |
| Sales and customer acquisition | Institutional procurement-cycle friction EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | +0.69 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
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 | +2.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.2 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.69 |
| Published local-market alignment | 70.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.0 pts
- Tested rank range
- #5–#10
#6Tier 3 · Mixed modeled alignment70.5
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +1.1 pts Target-market demandReduction -0.4 pts Transportation, routing, and parking
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 | +1.1 pts | |
| Transportation, routing, and parking |
| -0.4 pts |
| Labor and staffing friction |
| -0.3 pts |
| Property replacement-cycle demand |
| +0.1 pts |
| Net local movement | +0.54 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 | +1.1 |
| Property replacement-cycle demand | +0.1 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.54 |
| Published local-market alignment | 70.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.1 pts
- Tested rank range
- #5–#7
#7Tier 3 · Mixed modeled alignment69.9
Tiger Adjusters
Initial investment: $43,050–$159,500
Increase +0.5 pts Target-market 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 |
|---|---|---|
| Target-market demand | +0.5 pts | |
| Labor and staffing friction | -0.4 pts | |
| Transportation, routing, and parking |
| -0.2 pts |
| Net local movement | -0.07 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 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 | +0.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.93 |
| Published local-market alignment | 69.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.5 pts
- Tested rank range
- #6–#11
#8Tier 3 · Mixed modeled alignment69.7
Workout Anytime
Initial investment: $1,060,850–$1,840,550
Increase +0.5 pts Target-market demandReduction -0.7 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 |
| -0.7 pts |
| Target-market demand |
| +0.5 pts |
| Transportation, routing, and parking |
| -0.1 pts |
| Net local movement | -0.29 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 | +0.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.71 |
| Published local-market alignment | 69.7 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #7–#10
#9Tier 3 · Mixed modeled alignment69.5
ZOOM DRAIN
Initial investment: $266,250–$570,500
Increase +1.0 pts Target-market demandReduction -1.3 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 |
| -1.3 pts |
| Target-market demand | +1.0 pts | |
| Transportation, routing, and parking |
| -0.9 pts |
| Referral ecosystem |
| +0.5 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Labor and staffing friction | Legacy-system service complexity EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.47 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 | +1.0 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.9 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +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 | 69.53 |
| Published local-market alignment | 69.5 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #6–#11
#10Tier 3 · Mixed modeled alignment69.1
Mr. Rooter
Initial investment: $152,900–$298,675
Increase +1.0 pts Target-market demandReduction -1.3 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 |
| -1.3 pts |
| Target-market demand | +1.0 pts | |
| Transportation, routing, and parking |
| -0.8 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Labor and staffing friction | Legacy-system service complexity EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.91 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 | +1.0 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.8 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.09 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #9–#13
#11Tier 3 · Mixed modeled alignment69.1
Aire Serv
Initial investment: $113,308–$271,708
Increase +1.1 pts Target-market demandReduction -1.5 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 | -1.5 pts | |
| Target-market demand | +1.1 pts | |
| Transportation, routing, and parking |
| -0.7 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Labor and staffing friction | Legacy-system service complexity EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -0.93 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 | +1.1 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.5 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.07 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.5 pts
- Tested rank range
- #8–#14
#12Tier 3 · Mixed modeled alignment68.8
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.6 pts Referral ecosystemReduction -1.3 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 | -1.3 pts | |
| Transportation, routing, and parking |
| -0.6 pts |
| Referral ecosystem |
| +0.6 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Net local movement | -1.19 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 | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +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 | 68.81 |
| Published local-market alignment | 68.8 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #8–#13
#13Tier 3 · Mixed modeled alignment68.8
Mister Sparky Electric
Increase +0.6 pts Target-market demandReduction -1.4 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 |
| -1.4 pts |
| Target-market demand |
| +0.6 pts |
| Transportation, routing, and parking |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Labor and staffing friction | Legacy-system service complexity EvidenceConditional — applicability must be confirmed | Not scored |
| Net local movement | -1.21 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 | +0.6 |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.4 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.79 |
| Published local-market alignment | 68.8 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.4 pts
- Tested rank range
- #12–#14
#14Tier 3 · Mixed modeled alignment68.8
PuroClean
Initial investment: $54,575–$262,145
Increase +0.6 pts Referral ecosystemReduction -1.3 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 | -1.3 pts | |
| Transportation, routing, and parking |
| -0.7 pts |
| Referral ecosystem |
| +0.6 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Net local movement | -1.22 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 | Not applicable to this operating model |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +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 | 68.78 |
| Published local-market alignment | 68.8 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #9–#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 | +2.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | Effect below the publication threshold |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +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 | 72.85 |
| Published local-market alignment | 72.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Starting pointThe operating-model baseline shown in the first ledger row.
InteractionsAny interaction or gate is included in the relevant contribution or calibration row.
Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.
RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.
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, 12 concepts changed position. Jan-Pro International moved from #5 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected+1.3 pts
Average across all concepts+1.1 pts
Concepts changing rank12
What we observed
- Jobs By Arlington Planning Corridorrosslyn ballston jobs: 87,600; richmond highway jobs: 51,000; columbia pike jobs: 8,600; langston boulevard jobs: 4,000
- Employer Establishments And Employmentemployer establishments: 6,334; employment: 159,716; annual payroll thousand dollars: 18,145,558 mixed business metrics
- Jobs Located In Arlington County219,700 jobs
Concepts helped most
City WideFacility management
+2.3 pts
FASTSIGNSSigns and graphics
+2.1 pts
Jan-Pro InternationalCommercial cleaning
+2.0 pts
HomeSmilesProperty maintenance services
+2.0 pts
ActionCOACHBusiness coaching
+1.9 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, 4 concepts changed position. Aire Serv moved from #11 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted7 of 14
Average among affected+0.2 pts
Average across all concepts+0.1 pts
Concepts changing rank4
Concepts helped most
ZOOM DRAINDrain and sewer service
+0.3 pts
Mr. RooterPlumbing
+0.3 pts
Aire ServHVAC installation, repair, and maintenance
+0.2 pts
Mister Sparky ElectricElectrical
+0.2 pts
PuroCleanRestoration
+0.2 pts
Observed model effectMaterial local friction
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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Tiger Adjusters moved from #7 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted13 of 14
Average among affected-0.9 pts
Average across all concepts-0.9 pts
Concepts changing rank10
What we observed
- Virginia Minimum Wage Effective January 1, 202612.77 dollars per hour
- Washington Metropolitan Frontline Occupational Wages Versus National Averagesfood preparation and serving: washington metro mean hourly dollars: 20.97, us mean hourly dollars: 17.86; building and grounds cleaning: washington metro mean hourly dollars: 20.3, us mean hourly dollars: 19.66; office and administrative support: washington metro mean hourly dollars: 28.01, us mean hourly dollars: 24.79; transportation and material moving: washington metro mean hourly dollars: 27.16, us mean hourly dollars: 23.96 dollars per hour
- Washington Metropolitan Skilled Trade Wages And Employment Shares Versus National Averagesconstruction and extraction: washington mean hourly dollars: 32.76, us mean hourly dollars: 31.42, washington employment share percent: 3.6, us employment share percent: 4.1; installation maintenance and repair: washington mean hourly dollars: 33.49, us mean hourly dollars: 30.44, washington employment share percent: 2.8, us employment share percent: 3.9 wages and employment shares
Concepts challenged most
Aire ServHVAC installation, repair, and maintenance
-1.5 pts
Mister Sparky ElectricElectrical
-1.4 pts
Mr. RooterPlumbing
-1.3 pts
Rainbow International RestorationRestoration
-1.3 pts
ZOOM DRAINDrain and sewer service
-1.3 pts
Observed model effectMixed or model dependent
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
Why concepts react differently
We applied a measurable adjustment to 12 of 14 concepts. When we neutralized the factor and recalculated the table, 8 concepts changed position. Workout Anytime moved from #8 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted12 of 14
Average among affected-0.5 pts
Average across all concepts-0.4 pts
Concepts changing rank8
What we observed
- Jobs By Arlington Planning Corridorrosslyn ballston jobs: 87,600; richmond highway jobs: 51,000; columbia pike jobs: 8,600; langston boulevard jobs: 4,000
- Commercial Vehicle Definition And Residential Street Parking Restrictioncommercial vehicle thresholds include: gross vehicle weight 12000 lb or more, 16 or more passengers, hazardous material vehicle, any trailer or semitrailer, three or more axles; residential abutting street parking restricted: yes; temporary loading unloading exception: yes; construction and service work exception: yes; parking violation fine dollars: 50 regulatory conditions
- Commercial Loading Zone Use Is Limited To Active Loading/unloading And Time Limited Stopsmaximum loading stop minutes: 30; reserved for loading unloading: yes minutes and rule
Concepts challenged most
ZOOM DRAINDrain and sewer service
-0.9 pts
Mr. RooterPlumbing
-0.8 pts
PuroCleanRestoration
-0.7 pts
Aire ServHVAC installation, repair, and maintenance
-0.7 pts
Rainbow International RestorationRestoration
-0.6 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, 5 concepts changed position. ZOOM DRAIN moved from #9 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 rank5
Concepts helped most
City WideFacility management
+0.8 pts
ActionCOACHBusiness coaching
+0.7 pts
HomeSmilesProperty maintenance services
+0.6 pts
PuroCleanRestoration
+0.6 pts
Rainbow International RestorationRestoration
+0.6 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- 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–#2
#2 ActionCOACHStable · tested #1–#2
#3 FASTSIGNSStable · tested #3–#4
#4 HomeSmilesStable · tested #3–#4
#5 Jan-Pro InternationalHighly sensitive · tested #5–#10
#6 Pillar To Post Home InspectorsModerately sensitive · tested #5–#7
#7 Tiger AdjustersHighly sensitive · tested #6–#11
#8 Workout AnytimeModerately sensitive · tested #7–#10
#9 ZOOM DRAINHighly sensitive · tested #6–#11
#10 Mr. RooterHighly sensitive · tested #9–#13
#11 Aire ServHighly sensitive · tested #8–#14
#12 Rainbow International RestorationHighly sensitive · tested #8–#13
#13 Mister Sparky ElectricModerately sensitive · tested #12–#14
#14 PuroCleanHighly sensitive · tested #9–#14
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
Primary source records by factorTarget-market demand: [4] [5] [6] [18] [8] [7] [1] [3]Property replacement-cycle demand: [4] [6] [8] [19] [20] [1]Competitive environment: [6] [18] [4] [3]Labor and staffing friction: [10] [11] [4] [7] [2] [1]Transportation, routing, and parking: [12] [13] [4] [3]Real estate and site feasibility: [7] [4] [8] [9] [1] [3]Sales and customer acquisition: [4] [17] [6] [18] [3]Referral ecosystem: [4] [17] [6] [3]Territory quality: [4] [7] [8] [9] [3]Regulatory and operating friction: [14] [15] [16] [12] [17] [2] [3]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +2.3 pts | — | -0.3 pts | — | +0.8 pts |
| #2 ActionCOACH | +1.9 pts | — | — | — | +0.7 pts |
| #3 FASTSIGNS | +2.1 pts | — | -0.4 pts | -0.3 pts | +0.4 pts |
| #4 HomeSmiles | +2.0 pts | — | -0.9 pts | -0.2 pts | +0.6 pts |
| #5 Jan-Pro International | +2.0 pts | — | -1.3 pts | -0.3 pts | +0.2 pts |
| #6 Pillar To Post Home Inspectors | +1.1 pts | +0.1 pts | -0.3 pts | -0.4 pts | — |
| #7 Tiger Adjusters | +0.5 pts | — | -0.4 pts | -0.2 pts | — |
| #8 Workout Anytime | +0.5 pts | — | -0.7 pts | -0.1 pts | — |
| #9 ZOOM DRAIN | +1.0 pts | +0.3 pts | -1.3 pts | -0.9 pts | +0.5 pts |
| #10 Mr. Rooter | +1.0 pts | +0.3 pts | -1.3 pts | -0.8 pts | — |
| #11 Aire Serv | +1.1 pts | +0.2 pts | -1.5 pts | -0.7 pts | — |
| #12 Rainbow International Restoration | — | +0.2 pts | -1.3 pts | -0.6 pts | +0.6 pts |
| #13 Mister Sparky Electric | +0.6 pts | +0.2 pts | -1.4 pts | -0.6 pts | — |
| #14 PuroClean | — | +0.2 pts | -1.3 pts | -0.7 pts | +0.6 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 Jan-Pro International, Tiger Adjusters, ZOOM DRAIN; their ranks move more widely when individual factors are neutralized.
Category comparisons
Best franchise categories we assessed in Arlington, Virginia
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
68.8Best Restoration franchise opportunities we assessed in Arlington, Virginia
2 Restoration concepts qualified for comparison, with scores ranging from 68.8 to 68.8. Rainbow International Restoration ranked highest at 68.8. Referral ecosystem added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1.3 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
- 68.8–68.8
- Category average
- 68.8
Rainbow International Restoration68.8
PuroClean68.8
Metric registry
The 24 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 |
|---|---|---|---|---|---|
| Arlington County 2026 population estimate | 244,300people | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County, Virginia | Context only | [4] [5] |
| Population change from April 2020 estimate base to July 2025 | 2.2percent | 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census-derived sales and receipts | Arlington County, Virginia | Context only | [6] |
| Employer establishments and employment | employer establishments: 6,334; employment: 159,716; annual payroll thousand dollars: 18,145,558mixed business metrics | 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census-derived sales and receipts | Arlington County, Virginia | Used in scoring | [6] [18] |
| Jobs located in Arlington County | 219,700jobs | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County, Virginia | Used in scoring | [4] |
| Professional/technical and government employment concentration | professional and technical services jobs: 57,800; professional and technical services share percent: 26.3; government jobs: 43,100; government share percent: 19.6jobs and percent of at place jobs | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County, Virginia | Supports modeled relationship | [4] |
| Residents age 16 and over working from home as primary commute mode | 35percent | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County, Virginia residents age 16 and over | Supports research conclusion | [4] [5] |
| Housing units and multifamily share | total housing units: 127,087; multifamily units: 92,374; multifamily share percent: 72.7housing units and percent | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County, Virginia | Supports modeled relationship | [4] |
| Share of net housing growth since 2020 from multifamily apartments and condos | 99percent of net housing growth | Profile 2026 summary | Arlington County, Virginia | Used in scoring | [5] [4] |
| Building permits in 2025 | 1,309housing units permitted | 2025 population and housing estimates; 2020-2024 ACS characteristics; 2023 business data; 2022 economic census-derived sales and receipts | Arlington County, Virginia | Used in scoring | [6] |
| 2025 special-exception approvals, office conversions, and major completions | special exception projects increasing density: 17; office gfa approved for adaptive reuse sqft: 1,259,987; residential units from adaptive reuse approvals: 854; hotel rooms from adaptive reuse approvals: 344; major project completions: 6; residential units in major completions: 593; retail sqft in major completions: 17,476mixed development metrics | Calendar year 2025 development approvals, starts, completions, and demolitions | Arlington County, Virginia | Used in scoring | [8] |
| Arlington office market indicators in Q1 2026 | rentable building area sqft: 44,264,048; overall vacancy percent: 23.5; net absorption sqft: 41,767; average base rent dollars per sqft: 40.3mixed office market metrics | Q1 2026 office market; Q4 2025 employment/establishments and taxable retail sales; April 2026 labor force | Arlington County office market | Conditional relationship | [7] |
| Approved Crystal City office-to-residential conversion and estimated vacancy effect | vacant office sqft removed: 489,708; residential units created: 315; crystal city vacancy reduction percentage points: 3.5mixed conversion metrics | May 2026 County Board action | Crystal City, Arlington County, Virginia | Conditional relationship | [9] |
| Jobs by Arlington planning corridor | rosslyn ballston jobs: 87,600; richmond highway jobs: 51,000; columbia pike jobs: 8,600; langston boulevard jobs: 4,000jobs | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County major planning corridors | Used in scoring | [4] |
| Office and industrial shares of corridor employment land-use inventory | rosslyn ballston: office share percent: 85.3, industrial share percent: 0.3; richmond highway: office share percent: 80.7, industrial share percent: 1.7; columbia pike: office share percent: 38.3, industrial share percent: 0.8; langston boulevard: office share percent: 13.1, industrial share percent: 4.4percent | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County major planning corridors | Conditional relationship | [4] |
| Older residential construction is materially more concentrated in Columbia Pike and Langston Boulevard than in the R-B and Richmond Highway corridors | finding: The 2026 County Profile corridor distributions show a substantially older housing profile in Columbia Pike and Langston Boulevard and a more recent multifamily profile in R-B and Richmond Highway.; interpretation limit: Year built does not establish whether original HVAC, plumbing, electrical, roofing, or other systems remain in place.qualitative distribution finding | 2026 profile using the latest available demographic, housing, employment, development, and corridor datasets stated in the report | Arlington County major planning corridors | Conditional relationship | [4] [1] |
| Washington metropolitan frontline occupational wages versus national averages | food preparation and serving: washington metro mean hourly dollars: 20.97, us mean hourly dollars: 17.86; building and grounds cleaning: washington metro mean hourly dollars: 20.3, us mean hourly dollars: 19.66; office and administrative support: washington metro mean hourly dollars: 28.01, us mean hourly dollars: 24.79; transportation and material moving: washington metro mean hourly dollars: 27.16, us mean hourly dollars: 23.96dollars per hour | May 2025 | Washington-Arlington-Alexandria, DC-VA-MD-WV MSA | Used in scoring | [10] |
| Washington metropolitan skilled-trade wages and employment shares versus national averages | construction and extraction: washington mean hourly dollars: 32.76, us mean hourly dollars: 31.42, washington employment share percent: 3.6, us employment share percent: 4.1; installation maintenance and repair: washington mean hourly dollars: 33.49, us mean hourly dollars: 30.44, washington employment share percent: 2.8, us employment share percent: 3.9wages and employment shares | May 2025 | Washington-Arlington-Alexandria, DC-VA-MD-WV MSA | Used in scoring | [10] |
| Virginia minimum wage effective January 1, 2026 | 12.77dollars per hour | January 1, 2026 through January 1, 2027 | Virginia, including Arlington County | Used in scoring | [11] |
| Commercial-vehicle definition and residential-street parking restriction | commercial vehicle thresholds include: gross vehicle weight 12000 lb or more, 16 or more passengers, hazardous material vehicle, any trailer or semitrailer, three or more axles; residential abutting street parking restricted: yes; temporary loading unloading exception: yes; construction and service work exception: yes; parking violation fine dollars: 50regulatory conditions | Code updated through June 2026 | Arlington County public streets abutting residential zoning | Used in scoring | [12] [13] |
| Commercial loading-zone use is limited to active loading/unloading and time-limited stops | maximum loading stop minutes: 30; reserved for loading unloading: yesminutes and rule | Code updated through June 2026 | Arlington County designated commercial loading zones | Used in scoring | [12] [3] |
| Exterior sign permitting and special-exception sign conditions | sign permit required: yes; site plan comprehensive sign plan or use permit conditions may apply: yes; additional review possible for special exception sites: yes; sign variances allowed under current zoning ordinance: noregulatory conditions | Current permit and zoning guidance accessed August 2026 | Arlington County, with property-specific zoning and prior-approval conditions | Conditional relationship | [14] [15] [3] |
| Arlington Business License Tax registration and gross-receipts thresholds | registration deadline days after starting operations: 75; annual renewal due: March 1 or next business day; basis: previous year gross receipts; less than 10000 dollars: no tax; 10001 to 50000 dollars: 30; 50001 to 100000 dollars: 50; over 100000 dollars: rate varies by business activityregistration and tax schedule | Current business-license rules accessed August 2026 | Businesses operating in or from Arlington County | Context only | [16] |
| Arlington County supplier registration, solicitation workflow, and service-contract living-wage condition | supplier portal: PRISM+; new suppliers register: yes; formal solicitations posted in portal: yes; contracts negotiations invoices and payments managed in portal: yes; living wage service contract threshold annual value dollars: 50,000; living wage dollars per hour: 17; living wage scope: specified County-owned/controlled property, exclusive County service locations, or home-based service contractsprocurement conditions | Current procurement process accessed August 2026 | Arlington County government procurement | Supports modeled relationship | [17] |
| Mapped geology across Arlington and the Washington West quadrangle is heterogeneous; clay-bearing units exist but do not establish a countywide failure condition | clay bearing geologic material present regionally: yes; county geology mapped as multiple polygons: yes; countywide mandatory foundation or plumbing failure established: nogeologic evidence classification | Published geologic mapping covering Arlington and surrounding jurisdictions | Arlington County within the Washington West geologic quadrangle | Context only | [19] [20] [1] |
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 72.85 after target-market demand +2.3 pts, referral ecosystem +0.8 pts, and labor and staffing friction -0.3 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.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Older residential construction is materially more concentrated in Columbia Pike and Langston Boulevard than in the R-B and Richmond Highway corridors and Mapped geology across Arlington and the Washington West quadrangle is heterogeneous; clay-bearing units exist but do not establish a countywide failure condition
- 2Municipal Forensic Audit: Structural Constraints and Deal-Killer AnalysisInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - 181(7).csvInternal or supplied research; not publicly accessible.
Used for: Commercial loading-zone use is limited to active loading/unloading and time-limited stops and Exterior sign permitting and special-exception sign conditions
- 4Arlington County Profile 2026
Used for: Arlington County 2026 population estimate, Jobs located in Arlington County, Professional/technical and government employment concentration, Residents age 16 and over working from home as primary commute mode, and Housing units and multifamily share
- 5Arlington County Profile
Used for: Arlington County 2026 population estimate, Residents age 16 and over working from home as primary commute mode, and Share of net housing growth since 2020 from multifamily apartments and condos
- 6QuickFacts: Arlington County, Virginia
Used for: Population change from April 2020 estimate base to July 2025, Employer establishments and employment, and Building permits in 2025
- 7Arlington Quarterly Indicators Q1 2026
Used for: Arlington office market indicators in Q1 2026
- 8Development Highlights 2025
Used for: 2025 special-exception approvals, office conversions, and major completions
- 9May 2026 County Board Wrap Up
Used for: Approved Crystal City office-to-residential conversion and estimated vacancy effect
- 10Occupational Employment and Wages in Washington-Arlington-Alexandria — May 2025
Used for: Washington metropolitan frontline occupational wages versus national averages and Washington metropolitan skilled-trade wages and employment shares versus national averages
- 11Virginia Minimum Wage Rate Increasing Effective January 1, 2026
Used for: Virginia minimum wage effective January 1, 2026
- 12Arlington County Code Chapter 14.2 — Motor Vehicles and Traffic
Used for: Commercial-vehicle definition and residential-street parking restriction and Commercial loading-zone use is limited to active loading/unloading and time-limited stops
- 13Parking Enforcement FAQs
Used for: Commercial-vehicle definition and residential-street parking restriction
- 14Sign Permit
Used for: Exterior sign permitting and special-exception sign conditions
- 15Permit Arlington Center Fee Schedules
Used for: Exterior sign permitting and special-exception sign conditions
- 16Business License Tax
Used for: Arlington Business License Tax registration and gross-receipts thresholds
- 17Purchasing
Used for: Arlington County supplier registration, solicitation workflow, and service-contract living-wage condition
- 18County Business Patterns 2023
Used for: Employer establishments and employment
- 19Geologic map of the Washington West 30′ × 60′ quadrangle, Maryland, Virginia, and Washington D.C.
Used for: Mapped geology across Arlington and the Washington West quadrangle is heterogeneous; clay-bearing units exist but do not establish a countywide failure condition
- 20Arlington County Open Data — Geology Polygons
Used for: Mapped geology across Arlington and the Washington West quadrangle is heterogeneous; clay-bearing units exist but do not establish a countywide failure condition
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.