67.5 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Brooklyn, New York
We compared 14 franchise concepts for Brooklyn, New York. Local business demand was a leading positive mechanism. Route and curb productivity pressure was a leading operating constraint.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
1.1 points average among 11 affected concepts
1.5 points average reduction among 13 affected concepts
Tested rank range spans 8 positions
Executive conclusion
What the ranking means for Brooklyn, New York
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 1.4 points on average. Route and curb productivity pressure was the broadest operating constraint, reducing exposed concepts by 1.1 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.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | City WideFacility managementInvestment: $229,729–$410,730 | 73.4Tier 2 · Favorable modeled alignment | +2.8 ptsTarget-market demand | -0.3 ptsLabor and staffing friction | Moderate evidence confidence |
| 2 | ActionCOACHBusiness coachingInvestment: $71,668–$303,513 | 73.0Tier 2 · Favorable modeled alignment | +2.2 ptsTarget-market demand | -0.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 3 | FASTSIGNSSigns and graphicsInvestment: $231,226–$386,285 | 71.7Tier 3 · Mixed modeled alignment | +2.6 ptsTarget-market demand | -0.8 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance servicesInvestment: $148,110–$201,800 | 70.6Tier 3 · Mixed modeled alignment | +1.5 ptsTarget-market demand | -1.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | Jan-Pro InternationalCommercial cleaningInvestment: $130,000–$421,500 | 70.4Tier 3 · Mixed modeled alignment | +2.5 ptsTarget-market demand | -1.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Tiger AdjustersPublic insurance adjustingInvestment: $43,050–$159,500 | 69.3Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | -0.6 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspectionInvestment: $102,690–$134,290 | 69.0Tier 3 · Mixed modeled alignment | +0.3 ptsProperty replacement-cycle demand | -1.1 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 8 | Workout AnytimeFitnessInvestment: $1,060,850–$1,840,550 | 67.9Tier 3 · Mixed modeled alignment | No material positive local adjustment | -1.0 ptsTarget-market demand | Moderate evidence confidence |
| 9 | Rainbow International RestorationRestorationInvestment: $185,336–$351,900 | 67.6Tier 3 · Mixed modeled alignment | +0.7 ptsReferral ecosystem | -2.0 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | PuroCleanRestorationInvestment: $54,575–$262,145 | 67.4Tier 3 · Mixed modeled alignment | +0.7 ptsReferral ecosystem | -1.9 ptsLabor and staffing friction | Moderate evidence confidence |
Conditions that changed the analysis
What mattered most in Brooklyn, New York
Large resident, household, employer, and self-employment base supports broad local business demand
This relationship affected 10 concepts and added 1.4 points on average among those exposed. Local evidence: Estimated households in the 2020-2024 period: 1,009,927 households. [3]
Truck-route, parkway, curb, parking, and loading rules reduce route flexibility for vehicle-dependent service models
This relationship affected 14 concepts and reduced 1.1 points on average among those exposed. Local evidence: Selected commercial-vehicle parking and curb-use constraints: maximum parking duration where otherwise permitted hours: 3; residential street overnight prohibition: 9 p.m. to 5 a.m., subject to listed utility and heating exceptions; truck loading zone use: expeditious pickups, deliveries, and service calls only; general curb reservation permits: not available for routine pickup or delivery rule summary. [10] [12] [3]
old_building_demand_and_complexity
The large older and multi-unit building base expands the stock exposed to repair, replacement, inspection, restoration, and energy-retrofit work, while access, coordination, diagnostic complexity, licensing, covered-building thresholds, and skilled-trade recruiting can raise execution burden. The metric does not imply that every property retains original systems or requires the same work. [6] [3] [15] [16] [7]
Evidence behind the city mechanisms
Large resident, household, employer, and self-employment base supports broad local business demand1 modeled effect
High housing costs and poverty exposure constrain discretionary household spending for price-sensitive concepts1 modeled effect
Older, predominantly multi-unit housing stock supports service replacement demand and increases system complexity3 local facts · 2 modeled effects · 2 sources
- Estimated housing units on July 1, 2025: 1,141,824 housing units [3]
- Building permits reported for 2025: 6,844 housing units authorized [3]
- Median construction year and multi-unit share of Brooklyn housing stock: median year structure built: 1,942; housing units in multi unit structures percent: 87.05 year and percent [6]
Large-building emissions requirements create threshold-gated compliance burden and retrofit demand3 local facts · 2 modeled effects · 2 sources
- Local Law 97 covered-building thresholds: single building minimum gross sqft: 25,000; multiple buildings same tax lot combined minimum gross sqft: 50,000; multiple condominium buildings same board combined minimum gross sqft: 50,000 gross square feet [15]
- Local Law 97 emissions-limit timeline: initial limits begin: 2,024; stricter limits begin: 2,030; stated net zero target year: 2,050 calendar years [15]
- Local Law 97 annual excess-emissions penalty formula: 268 usd per metric ton co2e over limit [16]
Above-national skilled-trade wages and lower metropolitan occupation shares indicate technician recruiting pressure1 modeled effect
Truck-route, parkway, curb, parking, and loading rules reduce route flexibility for vehicle-dependent service models1 modeled effect
Large health, education, professional, and public-institution markets support referral and account-based selling opportunities3 local facts · 2 modeled effects · 3 sources
- Approximate annual New York City procurement scale: 20,000,000,000 usd per year minimum approximate [21]
- Selected sector receipts and sales in 2022: health care and social assistance receipts usd thousands: 31,154,069; accommodation and food services sales usd thousands: 6,149,938; transportation and warehousing receipts usd thousands: 3,474,228; retail sales usd thousands: 39,844,396 [3]
- Selected Brooklyn sector business and employment counts: education and health services: businesses: 8,667, employment: 381,494; trade transportation and utilities: businesses: 13,561, employment: 124,132; professional and business services: businesses: 11,542, employment: 72,513; leisure and hospitality: businesses: 7,894, employment: 72,784; construction: businesses: 4,419, employment: 29,236; manufacturing: businesses: 1,625, employment: 16,691 businesses and employees [4]
Compare all assessed concepts
Local impact by franchise concept
14 concepts shown. Expand a concept to see the score-changing factors and their modeled drivers; the full audit ledger stays collapsed.
City Wide
Initial investment: $229,729–$410,730
Rank sensitivity: 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 |
| +2.8 pts |
| Referral ecosystem |
| +1.0 pts |
| Labor and staffing friction |
| -0.3 pts |
| Transportation, routing, and parking |
| -0.1 pts |
| Net local movement | +3.42 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.8 |
| 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 | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.0 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.42 |
| Published local-market alignment | 73.4 |
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
- Strong
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +2.8 pts
- Tested rank range
- #1–#2
ActionCOACH
Initial investment: $71,668–$303,513
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +2.2 pts |
| Referral ecosystem |
| +0.9 pts |
| Transportation, routing, and parking |
| -0.1 pts |
| Net local movement | +2.99 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.2 |
| 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 | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.9 |
| 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 | 72.99 |
| Published local-market alignment | 73.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +2.2 pts
- Tested rank range
- #1–#2
FASTSIGNS
Initial investment: $231,226–$386,285
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 |
| +2.6 pts |
| Transportation, routing, and parking |
| -0.8 pts |
| Labor and staffing friction |
| -0.6 pts |
| Referral ecosystem |
| +0.5 pts |
| Net local movement | +1.71 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.6 |
| 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 | -0.8 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| 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 | 71.71 |
| 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 +2.6 pts
- Tested rank range
- #3–#3
HomeSmiles
Initial investment: $148,110–$201,800
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 |
| +1.5 pts |
| Labor and staffing friction | -1.1 pts | |
| Referral ecosystem |
| +0.8 pts |
| Transportation, routing, and parking |
| -0.6 pts |
| Net local movement | +0.58 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.5 |
| 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 | -0.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.8 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.58 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +1.5 pts
- Tested rank range
- #4–#5
Jan-Pro International
Initial investment: $130,000–$421,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Target-market demand |
| +2.5 pts |
| Labor and staffing friction |
| -1.6 pts |
| Transportation, routing, and parking |
| -0.7 pts |
| Referral ecosystem |
| +0.3 pts |
| Net local movement | +0.35 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.5 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.6 |
| Transportation, routing, and parking | -0.7 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.35 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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 +2.5 pts
- Tested rank range
- #4–#8
Tiger Adjusters
Initial investment: $43,050–$159,500
Rank sensitivity: Moderately sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -0.6 pts |
| Labor and staffing friction | -0.5 pts | |
| Target-market demand |
| +0.3 pts |
| Net local movement | -0.68 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | -0.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.32 |
| Published local-market alignment | 69.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Strong
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Transportation, routing, and parking -0.6 pts
- Tested rank range
- #5–#7
Pillar To Post Home Inspectors
Initial investment: $102,690–$134,290
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -1.1 pts |
| Labor and staffing friction | -0.4 pts | |
| Property replacement-cycle demand |
| +0.3 pts |
| Target-market demand |
| +0.2 pts |
| Net local movement | -1.00 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | +0.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -1.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.00 |
| Published local-market alignment | 69.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- 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
- Transportation, routing, and parking -1.1 pts
- Tested rank range
- #6–#10
Workout Anytime
Initial investment: $1,060,850–$1,840,550
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 |
| -1.0 pts |
| Labor and staffing friction |
| -0.9 pts |
| Transportation, routing, and parking |
| -0.2 pts |
| Net local movement | -2.11 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
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 | -1.0 |
| 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 | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.89 |
| Published local-market alignment | 67.9 |
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
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand -1.0 pts
- Tested rank range
- #6–#14
Rainbow International Restoration
Initial investment: $185,336–$351,900
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 | -2.0 pts | |
| Transportation, routing, and parking |
| -1.6 pts |
| Referral ecosystem |
| +0.7 pts |
| Property replacement-cycle demand |
| +0.5 pts |
| Net local movement | -2.41 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.0 |
| Transportation, routing, and parking | -1.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| 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 | 67.59 |
| Published local-market alignment | 67.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- 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 -2.0 pts
- Tested rank range
- #9–#11
PuroClean
Initial investment: $54,575–$262,145
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 | -1.9 pts | |
| Transportation, routing, and parking |
| -1.9 pts |
| Referral ecosystem |
| +0.7 pts |
| Property replacement-cycle demand |
| +0.5 pts |
| Net local movement | -2.61 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.5 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -1.9 |
| Transportation, routing, and parking | -1.9 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.7 |
| 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 | 67.39 |
| Published local-market alignment | 67.4 |
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
- 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 -1.9 pts
- Tested rank range
- #9–#12
Mister Sparky Electric
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -2.6 pts | |
| Transportation, routing, and parking |
| -1.6 pts |
| Property replacement-cycle demand | +1.3 pts | |
| Net local movement | -2.87 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 | +1.3 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.6 |
| Transportation, routing, and parking | -1.6 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.13 |
| Published local-market alignment | 67.1 |
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 -2.6 pts
- Tested rank range
- #8–#14
Aire Serv
Initial investment: $113,308–$271,708
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -2.7 pts | |
| Transportation, routing, and parking |
| -1.8 pts |
| Property replacement-cycle demand | +1.2 pts | |
| Target-market demand |
| +0.4 pts |
| Net local movement | -2.88 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +1.2 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.7 |
| Transportation, routing, and parking | -1.8 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.12 |
| Published local-market alignment | 67.1 |
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 -2.7 pts
- Tested rank range
- #6–#12
ZOOM DRAIN
Initial investment: $266,250–$570,500
Rank sensitivity: Highly sensitive
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Transportation, routing, and parking |
| -2.4 pts |
| Labor and staffing friction | -2.3 pts | |
| Property replacement-cycle demand |
| +0.6 pts |
| Referral ecosystem |
| +0.6 pts |
| Target-market demand |
| +0.5 pts |
| Net local movement | -2.93 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.5 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.3 |
| Transportation, routing, and parking | -2.4 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 67.07 |
| Published local-market alignment | 67.1 |
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
- Transportation, routing, and parking -2.4 pts
- Tested rank range
- #8–#14
Mr. Rooter
Initial investment: $152,900–$298,675
Rank sensitivity: Stable
Why it ranks here
Score-changing local factors only. Evidence links open the underlying city finding.
| Local factor | Modeled drivers | Impact |
|---|---|---|
| Labor and staffing friction | -2.4 pts | |
| Transportation, routing, and parking |
| -2.1 pts |
| Property replacement-cycle demand |
| +0.6 pts |
| Target-market demand |
| +0.4 pts |
| Net local movement | -3.49 pts | |
Net uses full-precision effects; displayed factor and driver rows are rounded.
Franchise evidence
Source material assessed
Full calculation and evidence confidence
Audit layer
Full factor ledger
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -2.4 |
| Transportation, routing, and parking | -2.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 66.51 |
| Published local-market alignment | 66.5 |
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 -2.4 pts
- Tested rank range
- #13–#14
No franchise concepts match the selected filters.
Worked score example
How we calculated City Wide
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +2.8 |
| 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 | -0.1 |
| Real estate and site feasibility | Depends on the specific site, territory, or operating condition |
| Sales and customer acquisition | Depends on the specific site, territory, or operating condition |
| Referral ecosystem | +1.0 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 73.42 |
| Published local-market alignment | 73.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
Why concepts react differently
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 5 concepts changed position. Jan-Pro International moved from #5 to #8, the largest movement among concepts directly affected by this factor.
What we observed
- Resident Population Estimate On July 1, 20252,653,963 people
- Estimated Households In The 2020 2024 Period1,009,927 households
- Owner Occupied Housing Unit Rate29.5 percent
Concepts helped most
Concepts challenged most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
Why concepts react differently
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 3 concepts changed position. Mister Sparky Electric moved from #11 to #14, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
Why concepts react differently
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Aire Serv moved from #12 to #6, the largest movement among concepts directly affected by this factor.
What we observed
- Statutory Minimum Wage Effective January 1, 202617 usd per hour
- Selected Metropolitan Frontline Occupational Wages Compared With The United Statesall occupations: metro usd per hour: 41.5, us usd per hour: 33.54; food preparation and serving: metro usd per hour: 22.22, us usd per hour: 17.86; building and grounds cleaning and maintenance: metro usd per hour: 23.02, us usd per hour: 19.66; office and administrative support: metro usd per hour: 28.72, us usd per hour: 24.79; sales and related: metro usd per hour: 36.03, us usd per hour: 26.43; transportation and material moving: metro usd per hour: 27.92, us usd per hour: 23.96 mean usd per hour
- Selected Metropolitan Skilled Trade Wages And Employment Shares Compared With The United Statesconstruction and extraction: metro usd per hour: 39.49, us usd per hour: 31.42, metro employment share percent: 3, us employment share percent: 4.1; installation maintenance and repair: metro usd per hour: 34.5, us usd per hour: 30.44, metro employment share percent: 3.1, us employment share percent: 3.9 mean usd per hour and employment share percent
Concepts challenged most
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 14 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. Workout Anytime moved from #8 to #14, the largest movement among concepts directly affected by this factor.
What we observed
- Selected Commercial Vehicle Parking And Curb Use Constraintsmaximum parking duration where otherwise permitted hours: 3; residential street overnight prohibition: 9 p.m. to 5 a.m., subject to listed utility and heating exceptions; truck loading zone use: expeditious pickups, deliveries, and service calls only; general curb reservation permits: not available for routine pickup or delivery rule summary
- Resident Population Density In The 2020 Census39,437.8 people per square mile
- Commercial Trucks Must Use The Designated Truck Route Network Subject To Destination Access Rulescovered vehicle definition: two axles and six tires, or three or more axles; local route use: required when origin or destination is within the borough; through route use: required when passing through the borough; off route access: limited to the nearest intersection and a direct route to the destination rule summary
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
Why concepts react differently
We applied a measurable adjustment to 8 of 14 concepts. When we neutralized the factor and recalculated the table, 6 concepts changed position. Rainbow International Restoration moved from #9 to #11, the largest movement among concepts directly affected by this factor.
Concepts helped most
- 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.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking | Referral ecosystem |
|---|---|---|---|---|---|
| #1 City Wide | +2.8 pts | — | -0.3 pts | -0.1 pts | +1.0 pts |
| #2 ActionCOACH | +2.2 pts | — | — | -0.1 pts | +0.9 pts |
| #3 FASTSIGNS | +2.6 pts | — | -0.6 pts | -0.8 pts | +0.5 pts |
| #4 HomeSmiles | +1.5 pts | — | -1.1 pts | -0.6 pts | +0.8 pts |
| #5 Jan-Pro International | +2.5 pts | — | -1.6 pts | -0.7 pts | +0.3 pts |
| #6 Tiger Adjusters | +0.3 pts | — | -0.5 pts | -0.6 pts | — |
| #7 Pillar To Post Home Inspectors | +0.2 pts | +0.3 pts | -0.4 pts | -1.1 pts | — |
| #8 Workout Anytime | -1.0 pts | — | -0.9 pts | -0.2 pts | — |
| #9 Rainbow International Restoration | — | +0.5 pts | -2.0 pts | -1.6 pts | +0.7 pts |
| #10 PuroClean | — | +0.5 pts | -1.9 pts | -1.9 pts | +0.7 pts |
| #11 Mister Sparky Electric | — | +1.3 pts | -2.6 pts | -1.6 pts | — |
| #12 Aire Serv | +0.4 pts | +1.2 pts | -2.7 pts | -1.8 pts | — |
| #13 ZOOM DRAIN | +0.5 pts | +0.6 pts | -2.3 pts | -2.4 pts | +0.6 pts |
| #14 Mr. Rooter | +0.4 pts | +0.6 pts | -2.4 pts | -2.1 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, Pillar To Post Home Inspectors, Workout Anytime; their ranks move more widely when individual factors are neutralized.
Local evidence assessed for modeling
Category comparisons
Best franchise categories we assessed in Brooklyn, New York
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Brooklyn, New York
2 Restoration concepts qualified for comparison, with scores ranging from 67.4 to 67.6. Rainbow International Restoration ranked highest at 67.6. Referral ecosystem added 0.7 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 2 points on average.
Interpret cautiously: A 0.2-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 67.4–67.6
- Category average
- 67.5
Metric registry
The 42 local metrics behind this analysis
The registry shows each public metric’s raw value, period, geography, source, and its actual role in the compiled analysis.
View all local metrics
| Metric | Raw value | Period | Geography | Role in analysis | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 2,653,963people | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Used in scoring | [3] |
| Population change from the April 2020 estimate base to July 2025 | -3percent | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Context only | [3] |
| Resident population density in the 2020 Census | 39,437.8people per square mile | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Used in scoring | [3] |
| Estimated households in the 2020-2024 period | 1,009,927households | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Used in scoring | [3] |
| Estimated housing units on July 1, 2025 | 1,141,824housing units | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Supports modeled relationship | [3] |
| Building permits reported for 2025 | 6,844housing units authorized | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Kings County, New York | Supports modeled relationship | [3] |
| Owner-occupied housing-unit rate | 29.5percent | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Used in scoring | [3] |
| Selected housing-cost indicators | median owner occupied value usd: 905,000; median monthly owner cost with mortgage usd: 3,542; median gross rent usd: 1,833; median household income usd: 80,263; persons in poverty percent: 19.2mixed housing and income metrics | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Brooklyn borough / Kings County, New York | Used in scoring | [3] |
| Employer establishments in 2023 | 62,317establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Kings County, New York | Used in scoring | [3] |
| Total employment in employer establishments in 2023 | 745,880employees | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Kings County, New York | Used in scoring | [3] |
| Nonemployer establishments in 2023 | 326,360establishments | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Kings County, New York | Used in scoring | [3] |
| Selected sector receipts and sales in 2022 | health care and social assistance receipts usd thousands: 31,154,069; accommodation and food services sales usd thousands: 6,149,938; transportation and warehousing receipts usd thousands: 3,474,228; retail sales usd thousands: 39,844,396usd thousands | July 1, 2025 population and housing estimates; 2020-2024 ACS estimates; 2022-2023 economic data; 2025 permits | Kings County, New York | Supports modeled relationship | [3] |
| Brooklyn businesses in Q2 2025 and year-over-year change | businesses: 74,504; year over year change percent: 1.52businesses and percent | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn, New York | Used in scoring | [4] |
| Selected Brooklyn sector business and employment counts | education and health services: businesses: 8,667, employment: 381,494; trade transportation and utilities: businesses: 13,561, employment: 124,132; professional and business services: businesses: 11,542, employment: 72,513; leisure and hospitality: businesses: 7,894, employment: 72,784; construction: businesses: 4,419, employment: 29,236; manufacturing: businesses: 1,625, employment: 16,691businesses and employees | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn, New York | Used in scoring | [4] |
| Brooklyn labor-market indicators in December 2025 | employed people: 1,269,271; labor force: 1,343,204; unemployment rate percent: 5.5people and percent | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn, New York | Used in scoring | [4] |
| New-building proposals filed in Brooklyn in Q3 2025 | new building proposals: 136; proposed floor area sqft: 3,500,000; proposed multifamily units: 2,754projects square feet and units | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn, New York | Context only | [4] |
| Brooklyn office-market conditions in Q4 2025 | leasing activity sqft: 310,000; net absorption sqft: 120,000; vacancy rate percent: 18.4; average asking rent usd per sqft per year: 51.66; leasing change year over year percent: -60.3; asking rent change year over year percent: -5.6mixed office market metrics | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn office market | Conditional relationship | [4] |
| Brooklyn industrial-market conditions in Q4 2025 | inventory sqft: 54,900,000; year to date leasing sqft: 868,000; vacancy rate percent: 4.7; net absorption sqft: -380,000; weighted average net rent usd per sqft per year: 25.88; leasing change year over year percent: -18mixed industrial market metrics | Business data through Q2 2025; construction through Q3 2025; office and industrial markets through Q4 2025; labor through December 2025 | Brooklyn industrial market | Conditional relationship | [4] |
| Brooklyn storefront vacancy rate as of April 15, 2026 | 12.3percent of storefronts | Observed storefront status through April 15, 2026 | Brooklyn, New York | Conditional relationship | [5] |
| Selected Brooklyn neighborhood storefront-vacancy hotspots | ocean hill percent: 19.5; east new york north percent: 19.4; other high vacancy areas named: Bedford-Stuyvesant East, Crown Heights North, Bedford-Stuyvesant Westpercent of storefronts and named areas | Observed storefront status through April 15, 2026 | Selected Brooklyn neighborhoods | Conditional relationship | [5] |
| Storefronts within 250 feet of a vacancy had a higher vacancy likelihood than the citywide average | 30percent higher relative likelihood | Observed storefront status through April 15, 2026 | New York City storefront corridors, including Brooklyn | Conditional relationship | [5] |
| Share of early-2020 small-business storefronts that retained the same business or were occupied by another small business | 84percent | Observed storefront status through April 15, 2026 | New York City small-business storefronts, including Brooklyn | Context only | [5] |
| Median construction year and multi-unit share of Brooklyn housing stock | median year structure built: 1,942; housing units in multi unit structures percent: 87.05year and percent | 2024 American Community Survey one-year estimates | Kings County, New York | Used in scoring | [6] |
| Statutory minimum wage effective January 1, 2026 | 17usd per hour | Rate effective January 1, 2026 | New York City, including Brooklyn | Used in scoring | [8] |
| Selected metropolitan frontline occupational wages compared with the United States | all occupations: metro usd per hour: 41.5, us usd per hour: 33.54; food preparation and serving: metro usd per hour: 22.22, us usd per hour: 17.86; building and grounds cleaning and maintenance: metro usd per hour: 23.02, us usd per hour: 19.66; office and administrative support: metro usd per hour: 28.72, us usd per hour: 24.79; sales and related: metro usd per hour: 36.03, us usd per hour: 26.43; transportation and material moving: metro usd per hour: 27.92, us usd per hour: 23.96mean usd per hour | May 2025 | New York-Newark-Jersey City metropolitan area | Used in scoring | [7] |
| Selected metropolitan skilled-trade wages and employment shares compared with the United States | construction and extraction: metro usd per hour: 39.49, us usd per hour: 31.42, metro employment share percent: 3, us employment share percent: 4.1; installation maintenance and repair: metro usd per hour: 34.5, us usd per hour: 30.44, metro employment share percent: 3.1, us employment share percent: 3.9mean usd per hour and employment share percent | May 2025 | New York-Newark-Jersey City metropolitan area | Used in scoring | [7] |
| Commercial trucks must use the designated truck-route network subject to destination-access rules | covered vehicle definition: two axles and six tires, or three or more axles; local route use: required when origin or destination is within the borough; through route use: required when passing through the borough; off route access: limited to the nearest intersection and a direct route to the destinationrule summary | Current rules accessed July 2026 | New York City, including Brooklyn | Used in scoring | [9] |
| Selected commercial-vehicle parking and curb-use constraints | maximum parking duration where otherwise permitted hours: 3; residential street overnight prohibition: 9 p.m. to 5 a.m., subject to listed utility and heating exceptions; truck loading zone use: expeditious pickups, deliveries, and service calls only; general curb reservation permits: not available for routine pickup or deliveryrule summary | Current curb, parking, loading, and commercial-vehicle rules accessed July 2026 | New York City, including Brooklyn | Used in scoring | [10] [12] |
| Commercial-vehicle prohibitions affect multiple Brooklyn parkways and road segments | Belt Parkway, Jackie Robinson Parkway, Ocean Parkway, listed portions of the Brooklyn Bridgerestricted routes | Current commercial-vehicle restrictions accessed July 2026 | Brooklyn and adjoining New York City road network | Used in scoring | [11] |
| Brooklyn contains six of New York City's Industrial Business Zones | 6industrial business zones | Testimony and cited market conditions in 2024 | Brooklyn, New York | Conditional relationship | [13] |
| Industrial firms in manufacturing districts compete with other permitted uses for space | manufacturing land change since 2010 citywide percent: -5; remaining manufacturing land citywide acres cited: 1,522; brooklyn business support functions: space search, incentives, permits and utilities, financingdirectional land use and support context | Testimony and cited market conditions in 2024 | Brooklyn Industrial Business Zones and New York City manufacturing districts | Context only | [13] |
| Brooklyn's planning analysis identifies materially different opportunity conditions by neighborhood | higher opportunity examples: parts of Greenpoint, Williamsburg, Downtown Brooklyn, Park Slope, Carroll Gardens, Boerum Hill; lower opportunity examples: Coney Island, Canarsie, Red Hooknamed neighborhood groups | Published plan and existing-conditions analysis available in 2025 | Brooklyn, New York | Conditional relationship | [14] |
| Local Law 97 covered-building thresholds | single building minimum gross sqft: 25,000; multiple buildings same tax lot combined minimum gross sqft: 50,000; multiple condominium buildings same board combined minimum gross sqft: 50,000gross square feet | Compliance beginning in 2024; 2026 Covered Buildings List published March 2026 | New York City, including qualifying Brooklyn properties | Supports modeled relationship | [15] |
| Local Law 97 emissions-limit timeline | initial limits begin: 2,024; stricter limits begin: 2,030; stated net zero target year: 2,050calendar years | Compliance beginning in 2024; 2026 Covered Buildings List published March 2026 | New York City, including qualifying Brooklyn properties | Supports modeled relationship | [15] |
| Local Law 97 annual excess-emissions penalty formula | 268usd per metric ton co2e over limit | Current penalty formulas accessed July 2026 | New York City, including qualifying Brooklyn properties | Supports modeled relationship | [16] |
| Business-sign requirements vary with zoning, special-district, historic-district, sign, applicant, and installer conditions | variable dimensions: sign size, location, projection, illumination, zoning district, special district, historic district, applicant type, additional values omittedpermit condition summary | Current zoning and permit guidance accessed July 2026 | New York City, including Brooklyn | Conditional relationship | [17] |
| Exterior business alterations in landmark buildings and historic districts can require LPC review | review examples: storefronts, signage, exterior alterations, certain exterior HVAC installationspermit condition summary | Current review and permit guidance accessed July 2026 | Designated Brooklyn landmarks and historic districts | Conditional relationship | [18] |
| Flood-map effects depend on property-level flood-zone and project conditions | high risk annual chance percent: 1; high risk 30 year mortgage probability percent: 26; uses: insurance requirements, building-code requirements for new or substantially improved buildingsrisk probability and rule summary | Current and preliminary flood-map framework accessed July 2026 | Mapped Brooklyn floodplains | Conditional relationship | [19] |
| Southern Brooklyn is identified as an area expected to experience among the largest future increases in coastal-surge flood risk | higher future risk increase areadirectional geographic classification | Current climate-risk guidance accessed July 2026 | Southern Brooklyn | Conditional relationship | [20] |
| Approximate annual New York City procurement scale | 20,000,000,000usd per year minimum approximate | Current procurement overview accessed July 2026 | New York City agency procurement accessible to qualified vendors, including Brooklyn firms | Supports modeled relationship | [21] |
| New York City contract opportunities require formal opportunity discovery and response workflows | channels: PASSPort public RFx, invited RFx, City Record, prequalification lists; submission account required: yesprocess summary | Current opportunity-search and account requirements accessed July 2026 | New York City agency procurement | Supports modeled relationship | [22] |
| New York City Commercial Rent Tax applies to qualifying Manhattan tenancies south of 96th Street, not Brooklyn locations | brooklyn location subject to crt: no; tax geography: Manhattan south of the center line of 96th Street, subject to rent thresholds and exemptionstax scope summary | Current geographic and rent-threshold rules accessed July 2026 | Brooklyn compared with the statutory Manhattan CRT area | Context only | [23] |
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 73.42 after target-market demand +2.8 pts, referral ecosystem +1.0 pts, labor and staffing friction -0.3 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
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 19, 2026Added compiler-derived decision intelligence and observation usage mapping., Changed factor sensitivity and channel counterfactuals to full model reruns., Added data-dependent city content signals while preserving legacy public report fields., and Added model-owned semantic compatibility gates and backward-compatible channel-level evidence attribution.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
- 2Structural Constraints and Hidden Municipal Costs: A Forensic Audit of Ten U.S. JurisdictionsInternal or supplied research; not publicly accessible.
- 3QuickFacts: Kings County, New York
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Resident population density in the 2020 Census, Estimated households in the 2020-2024 period, and Estimated housing units on July 1, 2025
- 4Brooklyn Economic Snapshot Q4 2025
Used for: Brooklyn businesses in Q2 2025 and year-over-year change, Selected Brooklyn sector business and employment counts, Brooklyn labor-market indicators in December 2025, New-building proposals filed in Brooklyn in Q3 2025, and Brooklyn office-market conditions in Q4 2025
- 5Who's Minding the Storefronts? An Analysis of Storefront Vacancies in New York City
Used for: Brooklyn storefront vacancy rate as of April 15, 2026, Selected Brooklyn neighborhood storefront-vacancy hotspots, Storefronts within 250 feet of a vacancy had a higher vacancy likelihood than the citywide average, and Share of early-2020 small-business storefronts that retained the same business or were occupied by another small business
- 7Occupational Employment and Wages in New York-Newark-Jersey City — May 2025
Used for: Selected metropolitan frontline occupational wages compared with the United States and Selected metropolitan skilled-trade wages and employment shares compared with the United States
- 8New York State's Minimum Wage
Used for: Statutory minimum wage effective January 1, 2026
- 9Truck Routing
Used for: Commercial trucks must use the designated truck-route network subject to destination-access rules
- 10Truck Driver FAQ
Used for: Selected commercial-vehicle parking and curb-use constraints
- 11Parkway Truck Restrictions
Used for: Commercial-vehicle prohibitions affect multiple Brooklyn parkways and road segments
- 12Loading Zones
Used for: Selected commercial-vehicle parking and curb-use constraints
- 13Committee on Economic Development Oversight Hearing: Industrial and Commercial Business Service Providers
Used for: Brooklyn contains six of New York City's Industrial Business Zones and Industrial firms in manufacturing districts compete with other permitted uses for space
- 14The Comprehensive Plan for Brooklyn
Used for: Brooklyn's planning analysis identifies materially different opportunity conditions by neighborhood
- 15LL97 Greenhouse Gas Emissions Reduction
Used for: Local Law 97 covered-building thresholds and Local Law 97 emissions-limit timeline
- 16LL97 GHG Emissions Violations
Used for: Local Law 97 annual excess-emissions penalty formula
- 17Installing a Business Sign: A Step-by-Step Guide
Used for: Business-sign requirements vary with zoning, special-district, historic-district, sign, applicant, and installer conditions
- 18LPC Business Express and Permits for Alterations
Used for: Exterior business alterations in landmark buildings and historic districts can require LPC review
- 19About FEMA Flood Maps
Used for: Flood-map effects depend on property-level flood-zone and project conditions
- 20Coastal Storm Surge Flooding
Used for: Southern Brooklyn is identified as an area expected to experience among the largest future increases in coastal-surge flood risk
- 21Procurement 101
Used for: Approximate annual New York City procurement scale
- 22Find Contract Opportunities
Used for: New York City contract opportunities require formal opportunity discovery and response workflows
- 23Commercial Rent Tax
Used for: New York City Commercial Rent Tax applies to qualifying Manhattan tenancies south of 96th Street, not Brooklyn locations
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.















































































