Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Dayton, Ohio

We compared 14 franchise concepts for Dayton, Ohio.

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.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking Read the methodology

14Concepts evaluated

34Sources used

24Primary sources

41Local 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

Highest category average (limited comparison)Restoration

70.0 average across 2 concepts

Largest positive factorTarget-market demand

0.6 points average among 6 affected concepts

Largest negative factorLabor and staffing friction

0.3 points average reduction among 10 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

Executive conclusion

What the ranking means for Dayton, Ohio

Our Dayton, Ohio analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, ZOOM DRAIN, and Mr. Rooter produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 6 concepts and added 0.6 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 10 exposed concepts by 0.3 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.

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 management	71.0Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-0.2 ptsLabor and staffing friction	Moderate evidence confidence
2	ZOOM DRAINDrain and sewer service	70.5Tier 3 · Mixed modeled alignment	+0.5 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
3	Mr. RooterPlumbing	70.5Tier 3 · Mixed modeled alignment	+0.5 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
4	Mister Sparky ElectricElectrical	70.4Tier 3 · Mixed modeled alignment	+0.4 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
5	FASTSIGNSSigns and graphics	70.4Tier 3 · Mixed modeled alignment	+0.5 ptsTarget-market demand	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
6	Aire ServHVAC installation, repair, and maintenance	70.3Tier 3 · Mixed modeled alignment	+0.4 ptsProperty replacement-cycle demand	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
7	Pillar To Post Home InspectorsHome inspection	70.2Tier 3 · Mixed modeled alignment	+0.2 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
8	HomeSmilesProperty maintenance services	70.2Tier 3 · Mixed modeled alignment	+0.5 ptsTarget-market demand	-0.3 ptsLabor and staffing friction	Moderate evidence confidence
9	ActionCOACHBusiness coaching	70.1Tier 3 · Mixed modeled alignment	+0.2 ptsTarget-market demand	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
10	Rainbow International RestorationRestoration	70.0Tier 3 · Mixed modeled alignment	+0.3 ptsProperty replacement-cycle demand	-0.5 ptsLabor and staffing friction	Moderate evidence confidence

View all 14 score calculations

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.

Highlight concept

Primary source records by factorTarget-market demand: ^[4] ^[6] ^[9] ^[10] ^[11] ^[12] ^[34] ^[2]Property replacement-cycle demand: ^[15] ^[16] ^[17] ^[18] ^[29] ^[30] ^[2]Competitive environment: ^[4] ^[33] ^[34] ^[3]Labor and staffing friction: ^[6] ^[5] ^[7] ^[8] ^[12] ^[10] ^[1]Transportation, routing, and parking: ^[25] ^[26] ^[27] ^[28] ^[1]Real estate and site feasibility: ^[13] ^[14] ^[22] ^[23] ^[32] ^[33] ^[2] ^[1]Sales and customer acquisition: ^[4] ^[33] ^[34] ^[3]Referral ecosystem: ^[9] ^[12] ^[10] ^[34] ^[4]Territory quality: ^[13] ^[14] ^[10] ^[32] ^[3]Regulatory and operating friction: ^[19] ^[20] ^[21] ^[22] ^[23] ^[24] ^[31] ^[32] ^[33] ^[1] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction
#1 City Wide	+1.3 pts	—	-0.2 pts
#2 ZOOM DRAIN	—	+0.5 pts	—
#3 Mr. Rooter	—	+0.5 pts	—
#4 Mister Sparky Electric	—	+0.4 pts	—
#5 FASTSIGNS	+0.5 pts	—	-0.1 pts
#6 Aire Serv	—	+0.4 pts	-0.1 pts
#7 Pillar To Post Home Inspectors	—	+0.2 pts	—
#8 HomeSmiles	+0.5 pts	—	-0.3 pts
#9 ActionCOACH	+0.2 pts	—	-0.1 pts
#10 Rainbow International Restoration	+0.2 pts	+0.3 pts	-0.5 pts
#11 Jan-Pro International	+0.9 pts	—	-0.9 pts
#12 PuroClean	—	+0.3 pts	-0.4 pts
#13 Tiger Adjusters	—	—	-0.1 pts
#14 Workout Anytime	—	—	-0.6 pts

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–#11

#2 ZOOM DRAINHighly sensitive · tested #1–#6

#3 Mr. RooterHighly sensitive · tested #2–#7

#4 Mister Sparky ElectricHighly sensitive · tested #3–#9

#5 FASTSIGNSHighly sensitive · tested #2–#9

#6 Aire ServHighly sensitive · tested #4–#11

#7 Pillar To Post Home InspectorsHighly sensitive · tested #5–#11

#8 HomeSmilesHighly sensitive · tested #3–#12

#9 ActionCOACHHighly sensitive · tested #4–#12

#10 Rainbow International RestorationHighly sensitive · tested #3–#12

#11 Jan-Pro InternationalHighly sensitive · tested #2–#14

#12 PuroCleanHighly sensitive · tested #6–#13

#13 Tiger AdjustersHighly sensitive · tested #7–#13

#14 Workout AnytimeStable · tested #13–#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.

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	+1.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.03
Published local-market alignment	71.0

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Starting pointThe operating-model baseline shown in the first ledger row.

InteractionsAny interaction or gate is included in the relevant contribution or calibration row.

Confidence treatmentEvidence confidence is disclosed separately unless the model definition explicitly applies a calibration adjustment.

RoundingFull-precision contributions are summed before the final displayed score is rounded to one decimal place; whole-number results are shown without a trailing decimal.

Interpretation

How to interpret the result

City Wide, ZOOM DRAIN, Mr. Rooter 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, ZOOM DRAIN, Mr. Rooter; their ranks move more widely when individual factors are neutralized.

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.

We applied a measurable adjustment to 6 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. City Wide moved from #1 to #11, the largest movement among concepts directly affected by this factor.

Concepts adjusted6 of 14

Average among affected+0.6 pts

Average across all concepts+0.2 pts

Concepts changing rank13

Concepts helped most

City WideFacility management

+1.3 pts

Jan-Pro InternationalCommercial cleaning

+0.9 pts

FASTSIGNSSigns and graphics

+0.5 pts

HomeSmilesProperty maintenance services

+0.5 pts

Rainbow International RestorationRestoration

+0.2 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Transportation, routing, and parkingNo material score adjustment
Real estate and site feasibilityNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Referral ecosystemNo material score adjustment
Territory qualityNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Dayton, Ohio

Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.

2 Restoration concepts qualified for comparison, with scores ranging from 69.9 to 70.0. Rainbow International Restoration ranked highest at 70.0. Property replacement-cycle demand added 0.3 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.4 points 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: 69.9–70.0
Category average: 70.0

Rainbow International Restoration70.0

PuroClean69.9

Compare all assessed concepts

Explore the complete score calculations

14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.

SearchCategoryLargest impactSort

#1Tier 3 · Mixed modeled alignment71.0

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.3 pts Target-market demandReduction -0.2 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	+1.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.2
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.03
Published local-market alignment	71.0

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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.3 pts
Tested rank range: #1–#11

Most important next check

How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?

#2Tier 3 · Mixed modeled alignment70.5

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.5 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

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	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.47
Published local-market alignment	70.5

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Property replacement-cycle demand +0.5 pts
Tested rank range: #1–#6

Most important next check

Which territory boundaries allow ZOOM DRAIN to meet response-time expectations without excessive cross-city travel?

#3Tier 3 · Mixed modeled alignment70.5

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.5 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

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	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.46
Published local-market alignment	70.5

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Property replacement-cycle demand +0.5 pts
Tested rank range: #2–#7

Most important next check

Which ZIP codes and appointment density assumptions define Mr. Rooter's practical service territory?

#4Tier 3 · Mixed modeled alignment70.4

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.4 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

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	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.39
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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Property replacement-cycle demand +0.4 pts
Tested rank range: #3–#9

Most important next check

Which ZIP codes and appointment density assumptions define Mister Sparky Electric's practical service territory?

#5Tier 3 · Mixed modeled alignment70.4

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +0.5 pts Target-market demandReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.1
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.37
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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.5 pts
Tested rank range: #2–#9

Most important next check

How many qualified local business accounts fall inside the territory proposed for FASTSIGNS?

#6Tier 3 · Mixed modeled alignment70.3

Aire Serv

HVAC installation, repair, and maintenance · Manager-led mobile HVAC installation, repair, maintenance, and emergency service business using skilled technicians…

Increase +0.4 pts Property replacement-cycle demandReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	-0.1
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.30
Published local-market alignment	70.3

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Property replacement-cycle demand +0.4 pts
Tested rank range: #4–#11

Most important next check

Which ZIP codes and appointment density assumptions define Aire Serv's practical service territory?

#7Tier 3 · Mixed modeled alignment70.2

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.2 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

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	Not applicable to this operating model
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.21
Published local-market alignment	70.2

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Property replacement-cycle demand +0.2 pts
Tested rank range: #5–#11

Most important next check

Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?

#8Tier 3 · Mixed modeled alignment70.2

HomeSmiles

Property maintenance services · Home-based mobile property-maintenance franchise using equipped service vans and technician crews to deliver bundled…

Increase +0.5 pts Target-market demandReduction -0.3 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	-0.3
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.18
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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.5 pts
Tested rank range: #3–#12

Most important next check

Which ZIP codes and appointment density assumptions define HomeSmiles's practical service territory?

#9Tier 3 · Mixed modeled alignment70.1

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.2 pts Target-market demandReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	-0.1
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.07
Published local-market alignment	70.1

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.2 pts
Tested rank range: #4–#12

Most important next check

Which business-owner segments are expected to produce the most repeatable coaching demand for ActionCOACH?

#10Tier 3 · Mixed modeled alignment70.0

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.3 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	-0.5
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.04
Published local-market alignment	70.0

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.5 pts
Tested rank range: #3–#12

Most important next check

Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?

#11Tier 3 · Mixed modeled alignment70.0

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +0.9 pts Target-market demandReduction -0.9 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	+0.9
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	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.04
Published local-market alignment	70.0

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #2–#14

Most important next check

What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?

#12Tier 3 · Mixed modeled alignment69.9

PuroClean

Restoration · emergency property restoration

Increase +0.3 pts Property replacement-cycle demandReduction -0.4 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	-0.4
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.94
Published local-market alignment	69.9

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.4 pts
Tested rank range: #6–#13

Most important next check

Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?

#13Tier 3 · Mixed modeled alignment69.9

Tiger Adjusters

Public insurance adjusting · Home-based, referral-led public insurance adjusting business combining local property inspections with…

No material positive local adjustment identifiedReduction -0.1 pts Labor and staffing friction

Rank sensitivity: Highly sensitive

How we scored this concept

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	-0.1
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.94
Published local-market alignment	69.9

Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: Adequate
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.1 pts
Tested rank range: #7–#13

Most important next check

Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?

#14Tier 3 · Mixed modeled alignment69.4

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -0.6 pts Labor and staffing friction

Rank sensitivity: Stable

How we scored this concept

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	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not included in the score
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.36
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: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Labor and staffing friction -0.6 pts
Tested rank range: #13–#14

Most important next check

What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?

Metric registry

The 41 local metrics behind this analysis

The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.

View all local metrics

Metric	Raw value	Period	Geography	How used	Source
Resident population estimate on July 1, 2025	136,688people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	-0.7percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand	^[4]
Estimated households in the 2020-2024 QuickFacts period	58,477households	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand, Property replacement-cycle demand	^[4]
Median household income in 2024 dollars	45,247usd per household	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand	^[4]
Persons in poverty	26.9percent of people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand	^[4]
Health care and social assistance receipts/revenue in 2022	4,379,479,000usd	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales	Dayton, Ohio	Evidence for Target-market demand, Referral ecosystem	^[4]
Unemployment rate in May 2026	3percent	Labor force through May 2026 and nonfarm employment through June 2026; data extracted August 7, 2026	Dayton-Kettering-Beavercreek, Ohio MSA	Evidence for Labor and staffing friction	^[6]
Total nonfarm employment in June 2026	jobs: 403,900; year over year change percent: 1.1jobs and percent	Labor force through May 2026 and nonfarm employment through June 2026; data extracted August 7, 2026	Dayton-Kettering-Beavercreek, Ohio MSA	Evidence for Target-market demand, Labor and staffing friction	^[6]
Education and health services employment in June 2026	jobs: 82,100; year over year change percent: 3.3jobs and percent	Labor force through May 2026 and nonfarm employment through June 2026; data extracted August 7, 2026	Dayton-Kettering-Beavercreek, Ohio MSA	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[6]
Manufacturing employment in June 2026	jobs: 42,300; year over year change percent: 1jobs and percent	Labor force through May 2026 and nonfarm employment through June 2026; data extracted August 7, 2026	Dayton-Kettering-Beavercreek, Ohio MSA	Evidence for Target-market demand, Labor and staffing friction	^[6]
Mean hourly wages for selected major occupational groups versus national rates	all occupations: dayton: 31.6, united states: 33.54; healthcare support: dayton: 19.55, united states: 19.62; food preparation and serving: dayton: 16.26, united states: 17.86; building and grounds cleaning maintenance: dayton: 18.5, united states: 19.66; office and administrative support: dayton: 23.41, united states: 24.79; installation maintenance and repair: dayton: 29.25, united states: 30.44usd per hour	May 2025	Dayton-Kettering-Beavercreek, Ohio MSA	Evidence for Labor and staffing friction	^[5]
Greater Dayton unfilled job postings and projected workforce gap	unfilled job postings 2023: 26,000; projected unfilled job postings 2030: 59,000job postings	2023 unfilled job postings and projection to 2030	Greater Dayton region	Evidence for Labor and staffing friction	^[7]
Regional manufacturers identify finding skilled talent as a primary workforce challenge	The Dayton Region Manufacturers Association reported that employers identify finding skilled talent as their number-one challenge; a 2026 skills sprint is centered in Montgomery County.qualitative condition	January 2026	Montgomery County and broader Western Ohio	Evidence for Labor and staffing friction	^[8]
University of Dayton total enrollment in Fall 2025	all students: 9,713; full time undergraduate: 6,949; part time undergraduate: 303; graduate and law: 2,461students	Fall 2025	University of Dayton, Dayton, Ohio	Evidence for Target-market demand, Referral ecosystem	^[9]
Wright-Patterson Air Force Base workforce	employees minimum: 38,000; employee types: military, civilian, contractorsemployees	Current fact sheet accessed August 2026	Wright-Patterson Air Force Base, adjacent Dayton-area geography	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[10]
Wright-Patterson Air Force Base annual economic impact	6,500,000,000usd per year	Current fact sheet accessed August 2026	Wright-Patterson Air Force Base and surrounding Dayton-area economy	Evidence for Target-market demand	^[10]
Wright-Patterson operates internal services comparable to a medium-sized city	shopping facilities, child care centers, housing areas, large medical centeron installation service types	Current page accessed August 2026	Wright-Patterson Air Force Base	Evidence for Target-market demand, Territory quality	^[11]
Premier Health system scale	employees minimum: 13,000; physicians: 2,300; member hospitals: 3; locations minimum: 100organization counts	Current organization profile accessed August 2026	Southwest Ohio system including Miami Valley Hospital in Dayton	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[12]
Share of Dayton housing units more than 40 years old	minimum share: 87; age threshold years: 40percent of housing units	Program year 2025	Dayton, Ohio	Evidence for Property replacement-cycle demand, Target-market demand	^[15]
City identifies maintenance and repair of older housing as a principal preservation challenge	The 2025 CAPER identifies the high cost of maintenance and repair of older inner-ring housing as a primary issue and notes that these units require substantial funding for maintenance and repair.qualitative condition	Program year 2025	Dayton, Ohio	Evidence for Property replacement-cycle demand	^[15]
City home-repair pilot targets critical exterior repairs in four neighborhoods	launch: 2026-03; target neighborhoods: Fairview, Dayton View Triangle, Wolf Creek, Madden Hills; repair scope: critical exterior home repairsprogram scope	Pilot launched March 2026	Four City of Dayton pilot neighborhoods	Evidence for Property replacement-cycle demand, Target-market demand	^[17] ^[16]
City is building contractor capacity for lead-safe work and lead-hazard remediation	The City is training local contractors in lead-safe practices, developing local training capacity, and supporting lead-hazard remediation.qualitative condition	Current program accessed August 2026	Dayton, Ohio	Evidence for Property replacement-cycle demand, Labor and staffing friction	^[18]
Greater Dayton total industrial vacancy in Q1 2026	vacancy rate: 3.6; total inventory sqft: 104,952,667; net absorption sqft: 892,995; under construction sqft: 1,273,521; average asking rate nnn: 5.52percent sqft and usd per sqft year	Q1 2026	Greater Dayton industrial market	Evidence for Real estate and site feasibility, Territory quality	^[13]
Greater Dayton Flex/R&D vacancy in Q1 2026	vacancy rate: 6.8; previous vacancy rate: 7.6; inventory sqft: 6,769,455; average asking rate nnn: 7.91percent sqft and usd per sqft year	Q1 2026	Greater Dayton Flex/R&D industrial category	Evidence for Real estate and site feasibility, Territory quality	^[13]
Flex/R&D vacancy varies materially across Greater Dayton submarkets	Central: 5.3; East: 4.7; North: 5.7; South: 6.9; Upper East: 40.6; Upper Valley: 4.9vacancy percent	Q1 2026	Colliers-defined Greater Dayton industrial submarkets	Evidence for Real estate and site feasibility, Territory quality	^[13]
Colliers industrial tracked set excludes properties at or below 10,000 square feet	10,000minimum tracked property size sqft exclusive	Q1 2026	Greater Dayton industrial market	Evidence for Real estate and site feasibility	^[13]
Dayton office market vacancy, absorption, and asking rent in Q1 2026	market vacancy rate: 19.6; net absorption sqft: 23,600; asking rate per sqft: 17.04; cbd vacancy approx percent: 30percent sqft and usd per sqft year	Q1 2026	Greater Dayton office market with CBD submarket reference	Evidence for Real estate and site feasibility, Territory quality, Target-market demand	^[14]
Locally designated historic districts and landmarks in Dayton	historic districts: 13; individual local landmarks minimum: 70designated areas and properties	Current rules accessed August 2026	Dayton, Ohio	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[19]
Signage on properties in the Dayton Register of Historic Places is a Major Certificate of Appropriateness item	major coa item: signage; approval authority: Landmark Commissionregulatory requirement	Current rules accessed August 2026	Properties in the Dayton Register of Historic Places	Evidence for Regulatory and operating friction	^[20]
Major Certificate of Appropriateness hearing and decision timing	hearing within days of receipt: 30; written decision within days after decision: 7days	Current process accessed August 2026	Major COA applications in Dayton	Evidence for Regulatory and operating friction	^[21]
Current Dayton water meter-set service fees by meter size	five eighths to one inch: 55; one and half to two inch: 220; three to six inch: 450; eight to ten inch: 475usd	Current fee schedule accessed August 2026	City of Dayton water-service customers	Evidence for Real estate and site feasibility, Regulatory and operating friction	^[22]
Current City of Dayton meter-set application fees by meter size	one inch city cost: 5; three inch city cost: 80; six inch city cost: 140usd	Current application-fee page accessed August 2026	City of Dayton meter-set applications	Evidence for Real estate and site feasibility, Regulatory and operating friction	^[23]
Commercial plan-review revision fees effective April 1, 2026	initial review: 0; first revision: 0; second revision: 250; third revision: 250; fourth revision: 500; fifth revision: 500; sixth and subsequent revision: 1,000additional usd per revision	Effective April 1, 2026	Commercial plan review in Dayton, Ohio	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[24]
ODOT PID 107376 reconstructs a defined segment of I-75 in Dayton	project id: 107,376; route: I-75; state log mile start: 14.66; state log mile end: 17.16project scope	Project definition for PID 107376	I-75 in Dayton, Ohio	Evidence for Transportation, routing, and parking	^[25] ^[26]
I-75 North Stanley Avenue entrance and exit ramps closed for approximately 60 days beginning July 10, 2026	closure start: 2026-07-10T21:00:00-04:00; duration days approximate: 60; detour: Wagner Ford Road to North Dixie Drive to Stanley Avenueclosure and detour	July-September 2026 current closure window	I-75 North at Stanley Avenue, Dayton	Evidence for Transportation, routing, and parking	^[27] ^[26]
Salem Avenue Phase 4 reconstruction is scheduled from spring 2026 through the end of 2027	segment: Cornell Drive to Emerson Avenue; start: spring 2026; expected completion: end of 2027project schedule	Phase 4 active beginning spring 2026; later phases scheduled through 2029	Salem Avenue, Dayton	Evidence for Transportation, routing, and parking, Territory quality	^[28]
Dayton treats very hard source water with municipal softening	historical average hardness 2010 mg per l: 155; historical average hardness 2010 grains per gallon: 9; treatment: City softens extremely hard well waterhardness and treatment	Current treatment description accessed August 2026; cited hardness value is from 2010	City of Dayton water treatment and distribution system	Evidence for Property replacement-cycle demand, Regulatory and operating friction	^[29]
City states that its softening system reduces the need for customer-owned softening systems	The City states that supplying softened water means customers do not incur additional expenses for installing and maintaining private softening systems.utility service condition	Current economic-development utility description accessed August 2026	City of Dayton water service territory	Evidence for Property replacement-cycle demand, Real estate and site feasibility	^[30]
AdaptDayton zoning modernization is in an early learning phase and is not yet an adopted operating rule	current code adopted year: 2,006; project phase as of 2026 06: learning; expected time for proposed changes engagement and approval months: 18-24planning status	June 2026 project status and expected process timeline	Dayton, Ohio	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[31]
Commercial property feasibility depends on site-specific zoning, historic, signage, parking, building-code, utility, and environmental conditions	zoning/use, historic district status, signage, parking, minimum yard requirements, building-code compatibility, utility bills and connections, wellfield protection and environmental conditionssite diligence dimensions	Current guidance accessed August 2026	Commercial properties in Dayton, Ohio	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[32] ^[33]
City maintains a bidders list and vendor application process for municipal purchasing	bidders list: yes; vendor application: yes; procurement enhancement program: yesprocurement process presence	Current procurement guidance accessed August 2026	City of Dayton	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[34]

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. 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 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Report generated August 8, 2026 (site timezone)

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 7, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.

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.

1
Forensic Municipal Constraint and Structural Friction ReportInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Published
February 19, 2026
Data period
Research cited as accessed through February 19, 2026
Scope
Dayton, Ohio section within a multi-city municipal constraint docket
Locator
Dayton, Ohio section, subsections A-F and structural analysis
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
2
Structural Inefficiencies and Utility Delta Audit: A Private Equity Real Estate AnalysisInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Published
February 24, 2026
Data period
Research cited as accessed through February 24, 2026
Scope
Dayton, Ohio section within a multi-city structural and real-estate docket
Locator
Dayton, Ohio section covering physical, housing, labor, CRE, and operating hypotheses
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
3
Franchise data - remake - B start(6).csvInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied neighborhood-level notes; date not consistently stated
Scope
Rows labeled Dayton but neighborhood fields are Kettering, Beavercreek, Centerville, Bellbrook, Springboro, and Miamisburg; not City of Dayton law
Locator
All rows where %city% = Dayton
Source tier
Tier 5 - supplied bespoke research
Accessed
August 7, 2026
4
QuickFacts: Dayton city, Ohio
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households in the 2020-2024 QuickFacts period, Median household income in 2024 dollars, and Persons in poverty
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic receipts and sales
Scope
Dayton city, Ohio
Locator
Population, households, income and poverty, transportation, and economy tables
Source tier
Tier 1 - government
Accessed
August 7, 2026
5
Occupational Employment and Wages in Dayton-Kettering-Beavercreek - May 2025
Used for: Mean hourly wages for selected major occupational groups versus national rates
Publisher
U.S. Bureau of Labor Statistics
Published
July 20, 2026
Data period
May 2025
Scope
Dayton-Kettering-Beavercreek, Ohio Metropolitan Statistical Area
Locator
Table A and office and administrative support detail
Source tier
Tier 1 - government
Accessed
August 7, 2026
6
Dayton, OH Economy at a Glance
Used for: Unemployment rate in May 2026, Total nonfarm employment in June 2026, Education and health services employment in June 2026, and Manufacturing employment in June 2026
Publisher
U.S. Bureau of Labor Statistics
Data period
Labor force through May 2026 and nonfarm employment through June 2026; data extracted August 7, 2026
Scope
Dayton-Kettering-Beavercreek, Ohio Metropolitan Statistical Area
Locator
Labor Force Data and Nonfarm Wage and Salary Employment tables
Source tier
Tier 1 - government
Accessed
August 7, 2026
7
From the President: Empowering Individuals and Our Region's Workforce
Used for: Greater Dayton unfilled job postings and projected workforce gap
Publisher
The Dayton Foundation
Published
September 5, 2024
Data period
2023 unfilled job postings and projection to 2030
Scope
Greater Dayton region
Locator
Dayton Workforce Coalition interview on labor supply and demand
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
8
Employers' Workforce Coalition Announces New Manufacturing Skills Sprint to Grow the Region's Workforce
Used for: Regional manufacturers identify finding skilled talent as a primary workforce challenge
Publisher
The Dayton Foundation
Published
January 13, 2026
Data period
January 2026
Scope
Montgomery County with broader Western Ohio workforce relevance
Locator
Manufacturing Skills Sprint rationale and employer-reported skilled-talent challenge
Source tier
Tier 2 - recognized institutional research
Accessed
August 7, 2026
9
Data and Quick Facts
Used for: University of Dayton total enrollment in Fall 2025
Publisher
University of Dayton
Data period
Fall 2025
Scope
University of Dayton campus, Dayton, Ohio
Locator
Enrollment: Fall 2025 and Human Resources: Fall 2025
Source tier
Tier 2 - primary institutional source
Accessed
August 7, 2026
10
Wright-Patterson Air Force Base
Used for: Wright-Patterson Air Force Base workforce and Wright-Patterson Air Force Base annual economic impact
Publisher
U.S. Air Force, Wright-Patterson Air Force Base
Data period
Current fact sheet accessed August 2026
Scope
Wright-Patterson Air Force Base and surrounding Dayton-area communities
Locator
Employment, economic impact, acreage, associate units, and surrounding communities
Source tier
Tier 1 - government
Accessed
August 7, 2026
11
WPAFB History
Used for: Wright-Patterson operates internal services comparable to a medium-sized city
Publisher
U.S. Air Force, Wright-Patterson Air Force Base
Data period
Current page accessed August 2026
Scope
Wright-Patterson Air Force Base and immediate surrounding communities
Locator
Installation scale, surrounding communities, and on-base services
Source tier
Tier 1 - government
Accessed
August 7, 2026
12
Working at Premier Health
Used for: Premier Health system scale
Publisher
Premier Health
Data period
Current organization profile accessed August 2026
Scope
Premier Health system in Southwest Ohio, including Miami Valley Hospital in Dayton
Locator
System employee, physician, hospital, and location counts
Source tier
Tier 2 - primary institutional source
Accessed
August 7, 2026
13
Dayton Industrial Market Report | 2026 Q1
Used for: Greater Dayton total industrial vacancy in Q1 2026, Greater Dayton Flex/R&D vacancy in Q1 2026, Flex/R&D vacancy varies materially across Greater Dayton submarkets, and Colliers industrial tracked set excludes properties at or below 10,000 square feet
Publisher
Colliers
Published
April 1, 2026
Data period
Q1 2026
Scope
Greater Dayton industrial market and defined Colliers submarkets
Locator
Market trends, building-type statistics, submarket tables, and tracked-set definition
Source tier
Tier 3 - credible industry
Accessed
August 7, 2026
14
Dayton Office Market Report | 2026 Q1
Used for: Dayton office market vacancy, absorption, and asking rent in Q1 2026
Publisher
Colliers
Published
April 1, 2026
Data period
Q1 2026
Scope
Greater Dayton office market, including CBD and suburban submarkets
Locator
Market trends, CBD vacancy discussion, absorption, rents, and submarket commentary
Source tier
Tier 3 - credible industry
Accessed
August 7, 2026
15
2025 Consolidated Annual Performance and Evaluation Report (CAPER)
Used for: Share of Dayton housing units more than 40 years old and City identifies maintenance and repair of older housing as a principal preservation challenge
Publisher
City of Dayton
Data period
Program year 2025
Scope
City of Dayton housing stock and community-development programs
Locator
CR-35 Other Actions and discussion of older housing maintenance and repair burden
Source tier
Tier 1 - government
Accessed
August 7, 2026
16
Dayton Housing Policy
Used for: City home-repair pilot targets critical exterior repairs in four neighborhoods
Publisher
City of Dayton
Data period
2026 work plan
Scope
City of Dayton
Locator
Current Housing Policy Focus Areas and home-repair partners
Source tier
Tier 1 - government
Accessed
August 7, 2026
17
Dayton Home Repair Revolving Loan Program
Used for: City home-repair pilot targets critical exterior repairs in four neighborhoods
Publisher
City of Dayton
Data period
Pilot launched March 2026
Scope
Fairview, Dayton View Triangle, Wolf Creek, and Madden Hills neighborhoods in Dayton during the 2026 pilot
Locator
Program scope, repair type, eligibility geography, and March 2026 launch
Source tier
Tier 1 - government
Accessed
August 7, 2026
18
Lead and Healthy Homes Grants
Used for: City is building contractor capacity for lead-safe work and lead-hazard remediation
Publisher
City of Dayton
Data period
Current program accessed August 2026
Scope
City of Dayton lead-hazard reduction and contractor-capacity initiatives
Locator
Contractor capacity building, training, and remediation initiative
Source tier
Tier 1 - government
Accessed
August 7, 2026
19
Historic Districts Information
Used for: Locally designated historic districts and landmarks in Dayton
Publisher
City of Dayton
Data period
Current rules accessed August 2026
Scope
Locally designated historic districts and local landmarks in Dayton
Locator
District count, landmark count, and COA applicability by historic designation
Source tier
Tier 1 - government
Accessed
August 7, 2026
20
Living With Historic Zoning
Used for: Signage on properties in the Dayton Register of Historic Places is a Major Certificate of Appropriateness item
Publisher
City of Dayton
Data period
Current rules accessed August 2026
Scope
Properties in the Dayton Register of Historic Places
Locator
Major and Minor Certificates of Appropriateness; signage listed as Major
Source tier
Tier 1 - government
Accessed
August 7, 2026
21
Landmark Commission Applications & Application Process
Used for: Major Certificate of Appropriateness hearing and decision timing
Publisher
City of Dayton
Data period
Current process accessed August 2026
Scope
Major Certificate of Appropriateness applications in Dayton
Locator
Landmark Commission hearing and decision timing and permit continuation
Source tier
Tier 1 - government
Accessed
August 7, 2026
22
Service Fees & Charges
Used for: Current Dayton water meter-set service fees by meter size
Publisher
City of Dayton Department of Water
Data period
Current fee schedule accessed August 2026
Scope
City of Dayton water-service customers
Locator
Meter Set Fees and miscellaneous fees and charges
Source tier
Tier 1 - government
Accessed
August 7, 2026
23
Meter Set Fees
Used for: Current City of Dayton meter-set application fees by meter size
Publisher
City of Dayton Finance
Data period
Current application-fee page accessed August 2026
Scope
City of Dayton and Montgomery County meter-set applications
Locator
Meter size and application cost table
Source tier
Tier 1 - government
Accessed
August 7, 2026
24
New Plan Review Revision Fee Notice
Used for: Commercial plan-review revision fees effective April 1, 2026
Publisher
City of Dayton Building Inspection Division
Data period
Effective April 1, 2026
Scope
Commercial plan review revisions in the City of Dayton
Locator
Revision fee schedule and post-second-nonapproval meeting requirement
Source tier
Tier 1 - government
Accessed
August 7, 2026
25
ODOT Seeking Public Comments - I-75 Reconstruction in Dayton, PID 107376
Used for: ODOT PID 107376 reconstructs a defined segment of I-75 in Dayton
Publisher
Ohio Department of Transportation
Published
May 24, 2021
Data period
Project definition for PID 107376
Scope
I-75 in Dayton from state-log mile 14.66 to 17.16
Locator
I-75 Reconstruction in Dayton, PID 107376
Source tier
Tier 1 - government
Accessed
August 7, 2026
26
MOT-107376 Construction Plan Addendum
Used for: ODOT PID 107376 reconstructs a defined segment of I-75 in Dayton and I-75 North Stanley Avenue entrance and exit ramps closed for approximately 60 days beginning July 10, 2026
Publisher
Ohio Department of Transportation
Data period
Active construction plan for PID 107376
Scope
I-75 reconstruction work zone in Montgomery County/Dayton
Locator
Maintenance-of-traffic and ramp-closure sequencing sheets
Source tier
Tier 1 - government
Accessed
August 7, 2026
27
Reconstruction of I-75 North to close exit ramps at Stanley Avenue for 60 days
Used for: I-75 North Stanley Avenue entrance and exit ramps closed for approximately 60 days beginning July 10, 2026
Publisher
WHIO
Published
July 10, 2026
Data period
July-September 2026 current closure window
Scope
I-75 North at Stanley Avenue in Dayton
Locator
ODOT-reported Stanley Avenue ramp closures and detour
Source tier
Tier 4 - strong local reporting
Accessed
August 7, 2026
28
Salem Avenue Reconstruction
Used for: Salem Avenue Phase 4 reconstruction is scheduled from spring 2026 through the end of 2027
Publisher
City of Dayton
Data period
Phase 4 active beginning spring 2026; later phases scheduled through 2029
Scope
Salem Avenue corridor in Dayton
Locator
Phase 4 through Phase 6 schedules and corridor limits
Source tier
Tier 1 - government
Accessed
August 7, 2026
29
Water Quality
Used for: Dayton treats very hard source water with municipal softening
Publisher
City of Dayton Department of Water
Data period
Current treatment description accessed August 2026; cited hardness value is from 2010
Scope
City of Dayton water treatment and distribution system
Locator
Hard Water section and treatment description
Source tier
Tier 1 - government
Accessed
August 7, 2026
30
Tap Into Dayton
Used for: City states that its softening system reduces the need for customer-owned softening systems
Publisher
City of Dayton Department of Water
Data period
Current economic-development utility description accessed August 2026
Scope
City of Dayton water system and regional service territory
Locator
Softened water and treatment capacity sections
Source tier
Tier 1 - government
Accessed
August 7, 2026
31
AdaptDayton: A comprehensive zoning update
Used for: AdaptDayton zoning modernization is in an early learning phase and is not yet an adopted operating rule
Publisher
City of Dayton
Published
June 2, 2026
Data period
June 2026 project status and expected process timeline
Scope
City of Dayton zoning code and map
Locator
Current-code history and 18-to-24-month expected approval process for proposed changes
Source tier
Tier 1 - government
Accessed
August 7, 2026
32
Commercial Property Purchase Checklist
Used for: Commercial property feasibility depends on site-specific zoning, historic, signage, parking, building-code, utility, and environmental conditions
Publisher
City of Dayton
Data period
Current guidance accessed August 2026
Scope
Commercial properties in the City of Dayton
Locator
Zoning, historic district, signage, parking, building-code, utility, and environmental diligence checklist
Source tier
Tier 1 - government
Accessed
August 7, 2026
33
Small Business Advocate
Used for: Commercial property feasibility depends on site-specific zoning, historic, signage, parking, building-code, utility, and environmental conditions
Publisher
City of Dayton
Data period
Current permitting and zoning guidance accessed August 2026
Scope
Businesses locating or expanding within Dayton city limits
Locator
Pre-application, permitting, zoning, code, occupancy, and location-investigation guidance
Source tier
Tier 1 - government
Accessed
August 7, 2026
34
Doing Business With the City of Dayton
Used for: City maintains a bidders list and vendor application process for municipal purchasing
Publisher
City of Dayton
Data period
Current procurement guidance accessed August 2026
Scope
City of Dayton vendor and purchasing process
Locator
Bidders list, vendor application, and Procurement Enhancement Program links
Source tier
Tier 1 - government
Accessed
August 7, 2026

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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.

Best Franchise Opportunities We Assessed in Dayton, Ohio

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Dayton, Ohio

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Best franchise categories we assessed in Dayton, Ohio

Best Restoration franchise opportunities we assessed in Dayton, Ohio

Explore the complete score calculations

City Wide

Full score ledger

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ZOOM DRAIN

Full score ledger

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Mr. Rooter

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Mister Sparky Electric

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FASTSIGNS

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Aire Serv

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Pillar To Post Home Inspectors

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HomeSmiles

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ActionCOACH

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Rainbow International Restoration

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Jan-Pro International

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PuroClean

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Tiger Adjusters

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Workout Anytime

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The 41 local metrics behind this analysis

What the model can and cannot establish

How the local-alignment ranking is calculated

Measure the city