69.4 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Nashua, New Hampshire
We compared 14 franchise concepts for Nashua, New Hampshire. Healthcare institutional service demand was a leading positive mechanism. Management and technical labor pressure was a leading operating constraint.
What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.
14Concepts evaluated
27Sources used
20Primary sources
30Local metrics
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
14Concepts assessed
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
0.7 points average among 6 affected concepts
1.1 points average reduction among 14 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Nashua, New Hampshire
City Wide, Jan-Pro International, and Rainbow International Restoration produced the highest modeled local-alignment scores in the evaluated set. Healthcare institutional service demand was the strongest positive scored mechanism among 6 exposed concepts, adding 0.7 points on average. Management and technical labor pressure was the broadest operating constraint, reducing exposed concepts by 0.8 points on average. Aire Serv was especially relationship-sensitive: removing management and technical labor pressure moved it from #13 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 | 70.2Tier 3 · Mixed modeled alignment | +1.6 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 69.7Tier 3 · Mixed modeled alignment | +1.1 ptsTarget-market demand | -1.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 69.5Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 69.4Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.8 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 69.4Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | PuroCleanRestorationInvestment: $54,575–$262,145 | 69.4Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -1.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Mister Sparky ElectricElectrical | 69.1Tier 3 · Mixed modeled alignment | +0.2 ptsProperty replacement-cycle demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 68.9Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Mr. RooterPlumbingInvestment: $152,900–$298,675 | 68.8Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 68.8Tier 3 · Mixed modeled alignment | +0.6 ptsTarget-market demand | -1.3 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Nashua, New Hampshire
Two major hospital systems and a large health-services sector create an institutional service-account base
This relationship affected 6 concepts and added 0.7 points on average among those exposed. Local evidence: Health care and social assistance receipts/revenue in 2022: 1,339,480,000 usd. [4] [6]
BAE scale and metro occupational concentration support technical and management labor competition
This relationship affected 14 concepts and reduced 0.8 points on average among those exposed. Local evidence: Manchester-Nashua major occupational wage profile in May 2025: all occupations mean hourly: 35; united states all occupations mean hourly: 33.54; management mean hourly: 74.47; computer math mean hourly: 60.22; architecture engineering mean hourly: 52.7 usd per hour. [9]
recurring-commercial-service
This operating-model cluster separated from the broader set because its exposure to local support and constraints differed. The strongest positive factor was target-market demand, while the main constraint was labor and staffing friction. [10] [9] [4] [7] [6] [2] [3]
Evidence behind the city mechanisms
Two major hospital systems and a large health-services sector create an institutional service-account base1 modeled effect
Healthcare institutional service demandTarget-market demand
Nashua climate normals establish recurring freeze-thaw exposure relevant to weatherization and property repair1 modeled effect
Freeze-thaw repair demandProperty replacement-cycle demand
BAE scale and metro occupational concentration support technical and management labor competition1 modeled effect
Management and technical labor pressureLabor and staffing friction
Manchester-Nashua unemployment was materially below the U.S. rate in June 20261 modeled effect
Broad labor scarcityLabor and staffing friction
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
#1Tier 3 · Mixed modeled alignment70.2
City Wide
Initial investment: $229,729–$410,730
Increase +1.6 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 |
| +1.6 pts |
| Labor and staffing friction | -1.3 pts | |
| Transportation, routing, and parking |
| -0.1 pts |
| Net local movement | +0.19 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 confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.19 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.6 pts
- Tested rank range
- #1–#8
#2Tier 3 · Mixed modeled alignment69.7
Jan-Pro International
Initial investment: $130,000–$421,500
Increase +1.1 pts Target-market demandReduction -1.1 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 |
|---|---|---|
| Labor and staffing friction | -1.1 pts | |
| Target-market demand |
| +1.1 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | -0.34 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.1 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.1 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.66 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.1 pts
- Tested rank range
- #2–#10
#3Tier 3 · Mixed modeled alignment69.5
Rainbow International Restoration
Initial investment: $185,336–$351,900
Increase +0.7 pts Property replacement-cycle demandReduction -1.0 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 | -1.0 pts | |
| Property replacement-cycle demand |
| +0.7 pts |
| Transportation, routing, and parking |
| -0.4 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.53 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.47 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.0 pts
- Tested rank range
- #3–#9
#4Tier 3 · Mixed modeled alignment69.4
ActionCOACH
Initial investment: $71,668–$303,513
Increase +0.2 pts Target-market demandReduction -0.8 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 | -0.7 pts | |
| Target-market demand |
| +0.2 pts |
| Net local movement | -0.56 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| 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 | Not applicable to this operating model |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.44 |
| Published local-market alignment | 69.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.8 pts
- Tested rank range
- #3–#7
#5Tier 3 · Mixed modeled alignment69.4
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Increase +0.3 pts Property replacement-cycle demandReduction -0.6 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 |
| -0.6 pts |
| Property replacement-cycle demand |
| +0.3 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | -0.59 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
2 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.41 |
| Published local-market alignment | 69.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #1–#9
#6Tier 3 · Mixed modeled alignment69.4
PuroClean
Initial investment: $54,575–$262,145
Increase +0.7 pts Property replacement-cycle demandReduction -1.0 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 | -1.0 pts | |
| Property replacement-cycle demand |
| +0.7 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | -0.60 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.0 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.40 |
| Published local-market alignment | 69.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.0 pts
- Tested rank range
- #2–#11
#7Tier 3 · Mixed modeled alignment69.1
Mister Sparky Electric
Increase +0.2 pts Property replacement-cycle demandReduction -0.7 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 |
| -0.7 pts |
| Transportation, routing, and parking |
| -0.5 pts |
| Property replacement-cycle demand |
| +0.2 pts |
| Net local movement | -0.88 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.12 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #5–#11
#8Tier 3 · Mixed modeled alignment68.9
HomeSmiles
Initial investment: $148,110–$201,800
Increase +0.6 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 |
| +0.6 pts |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | -1.05 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.95 |
| Published local-market alignment | 68.9 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #5–#13
#9Tier 3 · Mixed modeled alignment68.8
Mr. Rooter
Initial investment: $152,900–$298,675
No material positive local adjustment identifiedReduction -0.6 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 |
| -0.6 pts |
| Transportation, routing, and parking |
| -0.5 pts |
| Net local movement | -1.15 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.85 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.6 pts
- Tested rank range
- #6–#14
#10Tier 3 · Mixed modeled alignment68.8
FASTSIGNS
Initial investment: $231,226–$386,285
Increase +0.6 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 |
| +0.6 pts |
| Transportation, routing, and parking |
| -0.5 pts |
| Net local movement | -1.16 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
2 images
Public company data assessed
3 sourcesFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| 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 | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.84 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #8–#14
#11Tier 3 · Mixed modeled alignment68.8
ZOOM DRAIN
Initial investment: $266,250–$570,500
No material positive local adjustment identifiedReduction -0.7 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 |
| -0.7 pts |
| Transportation, routing, and parking |
| -0.5 pts |
| Net local movement | -1.23 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.77 |
| 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
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.7 pts
- Tested rank range
- #7–#13
#12Tier 3 · Mixed modeled alignment68.6
Tiger Adjusters
Initial investment: $43,050–$159,500
No material positive local adjustment identifiedReduction -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 |
| -0.2 pts |
| Net local movement | -1.44 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.56 |
| Published local-market alignment | 68.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #9–#13
#13Tier 3 · Mixed modeled alignment68.5
Aire Serv
Initial investment: $113,308–$271,708
Increase +0.8 pts Property replacement-cycle demandReduction -1.8 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 | -1.8 pts | |
| Property replacement-cycle demand |
| +0.8 pts |
| Transportation, routing, and parking |
| -0.5 pts |
| Net local movement | -1.54 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
1 image
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Item 19 — Financial Performance Representation
1 image
Public company data assessed
1 sourceFull calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.8 |
| Transportation, routing, and parking | -0.5 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.46 |
| Published local-market alignment | 68.5 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.8 pts
- Tested rank range
- #5–#14
#14Tier 3 · Mixed modeled alignment68.4
Workout Anytime
Initial investment: $1,060,850–$1,840,550
No material positive local adjustment identifiedReduction -1.3 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 | -1.3 pts | |
| Transportation, routing, and parking |
| -0.3 pts |
| Net local movement | -1.56 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Item 3 — Litigation
1 image
Item 6 — Other Fees
1 image
Item 7 — Estimated Initial Investment
2 images
Item 12 — Territory
1 image
Item 20 — Outlets and Franchise Information
1 image
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.3 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 68.44 |
| Published local-market alignment | 68.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Strong
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -1.3 pts
- Tested rank range
- #12–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.6 |
| 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 | -0.1 |
| 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 | Not included in the score |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.19 |
| 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.
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 effectMixed or model dependent
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 6 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. Jan-Pro International moved from #2 to #10, the largest movement among concepts directly affected by this factor.
Concepts adjusted6 of 14
Average among affected+0.7 pts
Average across all concepts+0.3 pts
Concepts changing rank12
What we observed
- Health Care And Social Assistance Receipts/revenue In 20221,339,480,000 usd
- St. Joseph Hospital Employees Listed By The City1,741 employees
- Southern New Hampshire Medical Center Employees Listed By The City2,174 employees
Concepts helped most
City WideFacility management
+1.6 pts
Jan-Pro InternationalCommercial cleaning
+1.1 pts
FASTSIGNSSigns and graphics
+0.6 pts
HomeSmilesProperty maintenance services
+0.6 pts
Rainbow International RestorationRestoration
+0.2 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 5 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. PuroClean moved from #6 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted5 of 14
Average among affected+0.5 pts
Average across all concepts+0.2 pts
Concepts changing rank11
What we observed
- Mean Annual Number Of Days With Minimum Temperature At Or Below 32 F154.9 days per year
- Mean Annual Snowfall Normal52.9 inches per year
- Months Where The Normal Daily Maximum Is Above 32 F And The Normal Daily Minimum Is Below 32 F5 months per year
Concepts helped most
Aire ServHVAC installation, repair, and maintenance
+0.8 pts
PuroCleanRestoration
+0.7 pts
Rainbow International RestorationRestoration
+0.7 pts
Pillar To Post Home InspectorsHome inspection
+0.3 pts
Mister Sparky ElectricElectrical
+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 14 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Aire Serv moved from #13 to #5, the largest movement among concepts directly affected by this factor.
Concepts adjusted14 of 14
Average among affected-1.1 pts
Average across all concepts-1.1 pts
Concepts changing rank11
What we observed
- Manchester Nashua Major Occupational Wage Profile In May 2025all occupations mean hourly: 35; united states all occupations mean hourly: 33.54; management mean hourly: 74.47; computer math mean hourly: 60.22; architecture engineering mean hourly: 52.7 usd per hour
- Technical Occupation Concentration In The Manchester Nashua Msacomputer math employment share percent: 4.6; united states computer math share percent: 3.4; architecture engineering share percent: 2.9; united states architecture engineering share percent: 1.7; software developer location quotient: 2.02 mixed percent and location quotient
- June 2026 Unemployment Rate Comparisonmanchester nashua msa: 2.7; united states: 4.4 percent not seasonally adjusted
Concepts challenged most
Aire ServHVAC installation, repair, and maintenance
-1.8 pts
HomeSmilesProperty maintenance services
-1.3 pts
City WideFacility management
-1.3 pts
FASTSIGNSSigns and graphics
-1.3 pts
Workout AnytimeFitness
-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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. HomeSmiles moved from #8 to #11, the largest movement among concepts directly affected by this factor.
Concepts adjusted13 of 14
Average among affected-0.4 pts
Average across all concepts-0.3 pts
Concepts changing rank9
What we observed
- Mean Annual Snowfall Normal52.9 inches per year
- General Overnight On Street Parking Restriction Outside Designated Permit Areasrestricted hours: 00:00-06:00; maximum without permit hours: 2; snow emergency overnight parking: prohibited rule
- Declared Nashua Snow Emergency In January 2026start: 2026-01-25T18:00:00-05:00; end: 2026-01-26T10:00:00-05:00; travel condition: difficult travel expected event
Concepts challenged most
Mr. RooterPlumbing
-0.5 pts
ZOOM DRAINDrain and sewer service
-0.5 pts
Aire ServHVAC installation, repair, and maintenance
-0.5 pts
FASTSIGNSSigns and graphics
-0.5 pts
Mister Sparky ElectricElectrical
-0.5 pts
Measured but not differentiating in this concept set
- Competitive environmentNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Referral ecosystemNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
#1 City WideHighly sensitive · tested #1–#8
#2 Jan-Pro InternationalHighly sensitive · tested #2–#10
#3 Rainbow International RestorationHighly sensitive · tested #3–#9
#4 ActionCOACHHighly sensitive · tested #3–#7
#5 Pillar To Post Home InspectorsHighly sensitive · tested #1–#9
#6 PuroCleanHighly sensitive · tested #2–#11
#7 Mister Sparky ElectricHighly sensitive · tested #5–#11
#8 HomeSmilesHighly sensitive · tested #5–#13
#9 Mr. RooterHighly sensitive · tested #6–#14
#10 FASTSIGNSHighly sensitive · tested #8–#14
#11 ZOOM DRAINHighly sensitive · tested #7–#13
#12 Tiger AdjustersHighly sensitive · tested #9–#13
#13 Aire ServHighly sensitive · tested #5–#14
#14 Workout AnytimeModerately sensitive · tested #12–#14
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
Primary source records by factorTarget-market demand: [4] [6] [23] [22] [1] [3]Property replacement-cycle demand: [11] [5] [4] [1]Competitive environment: [4] [23] [3]Labor and staffing friction: [7] [6] [8] [9] [10] [2] [3]Transportation, routing, and parking: [13] [14] [12] [11] [4] [27] [2] [3]Real estate and site feasibility: [19] [20] [21] [24] [25] [15] [17] [23] [1] [3]Sales and customer acquisition: [26] [6] [7] [23] [4] [3]Referral ecosystem: [6] [7] [26] [23] [3]Territory quality: [23] [24] [25] [22] [4] [8] [27] [3]Regulatory and operating friction: [15] [16] [17] [18] [24] [25] [2] [3]
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking |
|---|---|---|---|---|
| #1 City Wide | +1.6 pts | — | -1.3 pts | -0.1 pts |
| #2 Jan-Pro International | +1.1 pts | — | -1.1 pts | -0.3 pts |
| #3 Rainbow International Restoration | +0.2 pts | +0.7 pts | -1.0 pts | -0.4 pts |
| #4 ActionCOACH | +0.2 pts | — | -0.8 pts | — |
| #5 Pillar To Post Home Inspectors | — | +0.3 pts | -0.6 pts | -0.3 pts |
| #6 PuroClean | — | +0.7 pts | -1.0 pts | -0.3 pts |
| #7 Mister Sparky Electric | — | +0.2 pts | -0.7 pts | -0.5 pts |
| #8 HomeSmiles | +0.6 pts | — | -1.3 pts | -0.3 pts |
| #9 Mr. Rooter | — | — | -0.6 pts | -0.5 pts |
| #10 FASTSIGNS | +0.6 pts | — | -1.3 pts | -0.5 pts |
| #11 ZOOM DRAIN | — | — | -0.7 pts | -0.5 pts |
| #12 Tiger Adjusters | — | — | -1.3 pts | -0.2 pts |
| #13 Aire Serv | — | +0.8 pts | -1.8 pts | -0.5 pts |
| #14 Workout Anytime | — | — | -1.3 pts | -0.3 pts |
Interpretation
How to interpret the result
City Wide, Jan-Pro International, Rainbow International Restoration led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, Jan-Pro International, Rainbow International Restoration; their ranks move more widely when individual factors are neutralized.
Category comparisons
Best franchise categories we assessed in Nashua, New Hampshire
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
69.4Best Restoration franchise opportunities we assessed in Nashua, New Hampshire
2 Restoration concepts qualified for comparison, with scores ranging from 69.4 to 69.5. Rainbow International Restoration ranked highest at 69.5. Property replacement-cycle demand added 0.7 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 1 point on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 69.4–69.5
- Category average
- 69.4
Rainbow International Restoration69.5
PuroClean69.4
Metric registry
The 30 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 92,435people | July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic census measures | Nashua, New Hampshire | Context only | [4] |
| Households in the 2020-2024 QuickFacts period | 37,134households | July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic census measures | Nashua, New Hampshire | Context only | [4] |
| Median household income in 2024 dollars | 96,326usd 2024 | July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic census measures | Nashua, New Hampshire | Context only | [4] |
| Mean travel time to work | 26minutes | July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic census measures | Nashua, New Hampshire | Context only | [4] [1] |
| Health care and social assistance receipts/revenue in 2022 | 1,339,480,000usd | July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 economic census measures | Nashua, New Hampshire | Used in scoring | [4] |
| Southern New Hampshire Medical Center employees listed by the city | 2,174employees | Current city economic-development industry profile accessed 2026-08-19 | Nashua, New Hampshire | Used in scoring | [6] [3] |
| St. Joseph Hospital employees listed by the city | 1,741employees | Current city economic-development industry profile accessed 2026-08-19 | Nashua, New Hampshire | Used in scoring | [6] |
| BAE Systems employees in Nashua across two locations | 2,859employees | Current city economic-development industry profile accessed 2026-08-19 | Nashua, New Hampshire | Used in scoring | [7] [2] [3] |
| Representative technology-employer counts in the Spit Brook Road district | bae systems employees over: 1,800; oracle employees over: 600employees | Current city business-district profile accessed 2026-08-19 | Spit Brook Road, Nashua, New Hampshire | Context only | [8] |
| Manchester-Nashua major occupational wage profile in May 2025 | all occupations mean hourly: 35; united states all occupations mean hourly: 33.54; management mean hourly: 74.47; computer math mean hourly: 60.22; architecture engineering mean hourly: 52.7usd per hour | May 2025 | Manchester-Nashua, New Hampshire MSA | Used in scoring | [9] |
| Technical occupation concentration in the Manchester-Nashua MSA | computer math employment share percent: 4.6; united states computer math share percent: 3.4; architecture engineering share percent: 2.9; united states architecture engineering share percent: 1.7; software developer location quotient: 2.02mixed percent and location quotient | May 2025 | Manchester-Nashua, New Hampshire MSA | Used in scoring | [9] |
| June 2026 unemployment rate comparison | manchester nashua msa: 2.7; united states: 4.4percent not seasonally adjusted | June 2026 preliminary | Manchester-Nashua, New Hampshire MSA with U.S | Used in scoring | [10] |
| Months where the normal daily maximum is above 32 F and the normal daily minimum is below 32 F | 5months per year | 1991-2020 climate normals | Nashua 2 NNW, New Hampshire | Used in scoring | [11] [1] |
| Mean annual number of days with minimum temperature at or below 32 F | 154.9days per year | 1991-2020 climate normals | Nashua 2 NNW, New Hampshire | Used in scoring | [11] |
| Mean annual snowfall normal | 52.9inches per year | 1991-2020 climate normals | Nashua 2 NNW, New Hampshire | Used in scoring | [11] |
| Vehicle-removal requirement during declared snow emergencies | all vehicles removed from city streets or subject to towingrule | Current winter-operations rules accessed 2026-08-19 | Nashua, New Hampshire | Used in scoring | [13] [3] |
| Declared Nashua snow emergency in January 2026 | start: 2026-01-25T18:00:00-05:00; end: 2026-01-26T10:00:00-05:00; travel condition: difficult travel expectedevent | January 25-26, 2026 snow emergency | Nashua, New Hampshire | Used in scoring | [14] |
| General overnight on-street parking restriction outside designated permit areas | restricted hours: 00:00-06:00; maximum without permit hours: 2; snow emergency overnight parking: prohibitedrule | Current 2026 overnight parking program and City Ordinance 320-78/320-78.1 | Public ways in Nashua, New Hampshire | Used in scoring | [12] [13] |
| Commercial new-construction building permit fee under O-21-045 | 0.28usd per square foot area affected | Current fee schedule accessed 2026-08-19; amendments identified as Ordinance O-21-045 | Nashua, New Hampshire | Context only | [15] [2] |
| Commercial alterations, repairs, and fire-damage permit fee under O-21-045 | 0.18usd per square foot area affected | Current fee schedule accessed 2026-08-19; amendments identified as Ordinance O-21-045 | Nashua, New Hampshire | Context only | [15] |
| Historic District Commission review gate for building permits and exterior changes including signage | building permit applications in district: HDC review and approval required; signage changes: application material; exterior changes requiring building permit: HDC review requiredrule | Current Historic District Commission rules and 2026 process information accessed 2026-08-19 | Nashua Historic District, Nashua, New Hampshire | Conditional relationship | [17] [3] |
| City sign-permit filing and issuance fee schedule | filing fee: 25; issuance fee 50 sqft or less: 55; issuance fee 51 to 150 sqft: 105; issuance fee 151 sqft and over: 200; electrified sign requires electrical permit: yesusd and rule | Current sign-permit application and fee schedule accessed 2026-08-19 | Nashua, New Hampshire | Conditional relationship | [18] [16] |
| Nashua industrial submarket statistics in Q1 2026 | inventory sqft: 18,135,258; vacant sqft: 1,618,473; vacancy rate percent: 8.9; current quarter net absorption sqft: -291,452; ytd leasing activity sqft: 89,296; under construction sqft: 0; overall weighted avg net rent usd psf year: 10.71; warehouse distribution weighted avg net rent usd psf year: 11.77mixed industrial market metrics | Q1 2026 | Nashua industrial submarket, Southern New Hampshire | Context only | [19] [1] |
| Colliers tracked industrial inventory floor for its New Hampshire dataset | 10,000minimum building sqft in tracked inventory | Q1 2026 | New Hampshire industrial market | Context only | [20] |
| Colliers characterized five-year office vacancy movement in Nashua as stable relative to larger increases in some Seacoast markets | stablefive year vacancy trend | Q4 2025 | Nashua, New Hampshire office market | Context only | [21] |
| City economic-mobility report states Nashua had more jobs than employed workers in the city while describing it as a bedroom community | more jobs than employed workersqualitative job worker balance | Planning report using Census and OnTheMap data through 2021 plus stakeholder research | Nashua, New Hampshire | Context only | [22] |
| Distinct business districts identified by the city | 10business districts | Current economic-development district inventory accessed 2026-08-19 | Nashua, New Hampshire | Context only | [23] |
| City land-use and GIS resources show parcel-specific zoning and overlay layers including historic district, airport, water-protection, and flood-zone information | site specific layers presentzoning and gis context | Current Chapter 190 land-use framework accessed 2026-08-19 | Nashua, New Hampshire | Context only | [24] [25] |
| City maintains a public bid portal for consultants, service providers, contractors, vendors, and suppliers | yespublic procurement channel | Current open procurement opportunities accessed 2026-08-19 | City of Nashua, New Hampshire | Context only | [26] |
| Imagine Nashua describes scenario planning for potential development and redevelopment along major transportation corridors | planning context not construction scheduleproject status | Current master-plan implementation context accessed 2026-08-19 | Nashua, New Hampshire | Context only | [27] [3] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects that apply without an unresolved site, territory, customer, or project gate.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
How the common baseline becomes a city-specific score
Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. In this city, City Wide reached 70.19 after target-market demand +1.6 pts, labor and staffing friction -1.3 pts, and transportation, routing, and parking -0.1 pts. The current model caps total local movement at ±18.0 points. The score is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
Tier 1 · Strongest modeled alignment80.0–100.0
Tier 2 · Favorable modeled alignment72.0–<80.0
Tier 3 · Mixed modeled alignment64.0–<72.0
Tier 4 · Higher-friction modeled alignment0.0–<64.0
How factor rows are classified
Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score
What “best” means here
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Supplied multi-city structural operating research docketInternal or supplied research; not publicly accessible.
Used for: Mean travel time to work, Months where the normal daily maximum is above 32 F and the normal daily minimum is below 32 F, and Nashua industrial submarket statistics in Q1 2026
- 2Municipal Forensic Audit: Structural Constraints and Deal-Killer AnalysisInternal or supplied research; not publicly accessible.
Used for: BAE Systems employees in Nashua across two locations and Commercial new-construction building permit fee under O-21-045
- 3Franchise data - remake - 181(1).csvInternal or supplied research; not publicly accessible.
Used for: Southern New Hampshire Medical Center employees listed by the city, BAE Systems employees in Nashua across two locations, Vehicle-removal requirement during declared snow emergencies, Historic District Commission review gate for building permits and exterior changes including signage, and Imagine Nashua describes scenario planning for potential development and redevelopment along major transportation corridors
- 4QuickFacts: Nashua city, New Hampshire
Used for: Resident population estimate on July 1, 2025, Households in the 2020-2024 QuickFacts period, Median household income in 2024 dollars, Mean travel time to work, and Health care and social assistance receipts/revenue in 2022
- 5
- 6Healthcare
Used for: Southern New Hampshire Medical Center employees listed by the city and St. Joseph Hospital employees listed by the city
- 7Defense
Used for: BAE Systems employees in Nashua across two locations
- 8Spit Brook Road
Used for: Representative technology-employer counts in the Spit Brook Road district
- 9Occupational Employment and Wages in Manchester-Nashua - May 2025
Used for: Manchester-Nashua major occupational wage profile in May 2025 and Technical occupation concentration in the Manchester-Nashua MSA
- 10Civilian labor force and unemployment by state and metropolitan area - June 2026
Used for: June 2026 unemployment rate comparison
- 11Summary of Monthly Normals 1991-2020 - Nashua 2 NNW, NH
Used for: Months where the normal daily maximum is above 32 F and the normal daily minimum is below 32 F, Mean annual number of days with minimum temperature at or below 32 F, and Mean annual snowfall normal
- 12Overnight Parking: Exceptions and Permits
Used for: General overnight on-street parking restriction outside designated permit areas
- 13Snow Emergencies
Used for: Vehicle-removal requirement during declared snow emergencies and General overnight on-street parking restriction outside designated permit areas
- 14Nashua Declares Snow Emergency 1/25 6pm until 1/26 at 10am
Used for: Declared Nashua snow emergency in January 2026
- 15Permits and fees - Ordinance O-21-045 fee schedule
Used for: Commercial new-construction building permit fee under O-21-045 and Commercial alterations, repairs, and fire-damage permit fee under O-21-045
- 16Permits
Used for: City sign-permit filing and issuance fee schedule
- 17Historic District Commission
Used for: Historic District Commission review gate for building permits and exterior changes including signage
- 18Procedures for Filing a Sign Permit Application
Used for: City sign-permit filing and issuance fee schedule
- 19Southern New Hampshire Industrial MarketBeat Q1 2026
Used for: Nashua industrial submarket statistics in Q1 2026
- 20New Hampshire Industrial Market Holds Steady at the Start of 2026
Used for: Colliers tracked industrial inventory floor for its New Hampshire dataset
- 21Caution and Conversion Shape the New Hampshire Office Market
Used for: Colliers characterized five-year office vacancy movement in Nashua as stable relative to larger increases in some Seacoast markets
- 22Comprehensive Master Plan Economic Mobility Report
Used for: City economic-mobility report states Nashua had more jobs than employed workers in the city while describing it as a bedroom community
- 23Business Districts
Used for: Distinct business districts identified by the city
- 24Land Use Code
Used for: City land-use and GIS resources show parcel-specific zoning and overlay layers including historic district, airport, water-protection, and flood-zone information
- 25City of Nashua NH - GIS
Used for: City land-use and GIS resources show parcel-specific zoning and overlay layers including historic district, airport, water-protection, and flood-zone information
- 26Bid Postings
Used for: City maintains a public bid portal for consultants, service providers, contractors, vendors, and suppliers
- 27Imagine Nashua Master Plan
Used for: Imagine Nashua describes scenario planning for potential development and redevelopment along major transportation corridors
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.