Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Tucson, Arizona

We ranked 14 franchise concepts for Tucson, Arizona using local demand, labor, transportation, real estate, regulation, and source-backed evidence.

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 See the local evidence

14Concepts evaluated

25Sources used

17Primary sources

24Local metrics

Evaluation set

Why these concepts were evaluated

This is not a ranking of every franchise that may be offered in the city.

14Concepts assessed

Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.

A brand’s participation in our referral network does not add points or change its position.

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

70.5 average across 2 concepts

Largest positive factorReferral ecosystem

0.3 points average among 11 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

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	71.3Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
2	ActionCOACHBusiness coaching	70.9Tier 3 · Mixed modeled alignment	+0.6 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
3	HomeSmilesProperty maintenance services	70.8Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
4	Jan-Pro InternationalCommercial cleaning	70.7Tier 3 · Mixed modeled alignment	+0.7 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
5	Rainbow International RestorationRestoration	70.6Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
6	ZOOM DRAINDrain and sewer service	70.6Tier 3 · Mixed modeled alignment	+0.3 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
7	FASTSIGNSSigns and graphics	70.6Tier 3 · Mixed modeled alignment	+0.5 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
8	PuroCleanRestoration	70.5Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
9	Pillar To Post Home InspectorsHome inspection	70.5Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
10	Tiger AdjustersPublic insurance adjusting	70.4Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	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] ^[5] ^[12] ^[11] ^[16] ^[1]Property replacement-cycle demand: ^[5] ^[6] ^[1] ^[7] ^[8]Competitive environment: ^[4] ^[15] ^[16] ^[3]Labor and staffing friction: ^[10] ^[11] ^[9] ^[12] ^[25] ^[2] ^[1]Transportation, routing, and parking: ^[17] ^[18] ^[3]Real estate and site feasibility: ^[15] ^[16] ^[22] ^[23] ^[1]Sales and customer acquisition: ^[13] ^[14] ^[4] ^[3]Referral ecosystem: ^[12] ^[13] ^[11] ^[14]Territory quality: ^[3] ^[4] ^[15] ^[16] ^[9] ^[23] ^[24] ^[17]Regulatory and operating friction: ^[19] ^[20] ^[21] ^[22] ^[23] ^[9] ^[24] ^[25] ^[2]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Referral ecosystem
#1 City Wide	+1.0 pts	—	+0.4 pts
#2 ActionCOACH	+0.3 pts	—	+0.6 pts
#3 HomeSmiles	+0.3 pts	—	+0.4 pts
#4 Jan-Pro International	+0.7 pts	—	—
#5 Rainbow International Restoration	+0.1 pts	+0.1 pts	+0.4 pts
#6 ZOOM DRAIN	—	+0.3 pts	+0.3 pts
#7 FASTSIGNS	+0.5 pts	—	+0.1 pts
#8 PuroClean	—	+0.1 pts	+0.4 pts
#9 Pillar To Post Home Inspectors	—	+0.1 pts	+0.4 pts
#10 Tiger Adjusters	—	—	+0.4 pts
#11 Mr. Rooter	—	+0.2 pts	+0.1 pts
#12 Aire Serv	—	+0.3 pts	—
#13 Mister Sparky Electric	—	+0.2 pts	+0.1 pts
#14 Workout Anytime	—	—	—

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–#7

#2 ActionCOACHHighly sensitive · tested #1–#6

#3 HomeSmilesModerately sensitive · tested #3–#6

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

#5 Rainbow International RestorationHighly sensitive · tested #5–#10

#6 ZOOM DRAINHighly sensitive · tested #2–#10

#7 FASTSIGNSHighly sensitive · tested #3–#12

#8 PuroCleanHighly sensitive · tested #3–#12

#9 Pillar To Post Home InspectorsHighly sensitive · tested #4–#11

#10 Tiger AdjustersHighly sensitive · tested #8–#13

#11 Mr. RooterModerately sensitive · tested #8–#11

#12 Aire ServHighly sensitive · tested #4–#13

#13 Mister Sparky ElectricHighly sensitive · tested #9–#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	+1.0
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.35
Published local-market alignment	71.3

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, ActionCOACH, HomeSmiles led because their operating requirements captured more of the local support from referral ecosystem while remaining less exposed to competitive environment. 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, ActionCOACH, Jan-Pro International; 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.

Operating environment51Mixed 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. Jan-Pro International moved from #4 to #14, the largest movement among concepts directly affected by this factor.

Concepts adjusted6 of 14

Average among affected+0.5 pts

Average across all concepts+0.2 pts

Concepts changing rank13

Concepts helped most

City WideFacility management

+1.0 pts

Jan-Pro InternationalCommercial cleaning

+0.7 pts

FASTSIGNSSigns and graphics

+0.5 pts

HomeSmilesProperty maintenance services

+0.3 pts

ActionCOACHBusiness coaching

+0.3 pts

Measured but not differentiating in this concept set

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

Category comparisons

Best franchise categories we assessed in Tucson, Arizona

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 70.5 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.4 points on average among the affected concepts.

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: 70.5–70.6
Category average: 70.5

Rainbow International Restoration70.6

PuroClean70.5

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 alignment71.3

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.0 pts Target-market 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	+1.0
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.35
Published local-market alignment	71.3

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: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.0 pts
Tested rank range: #1–#7

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 alignment70.9

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.6 pts Referral ecosystemNo 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	+0.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.89
Published local-market alignment	70.9

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: Referral ecosystem +0.6 pts
Tested rank range: #1–#6

Most important next check

Which professional referral channels are expected to matter most to ActionCOACH, and what local relationship count supports the plan?

#3Tier 3 · Mixed modeled alignment70.8

HomeSmiles

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

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Moderately 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	+0.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.75
Published local-market alignment	70.8

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

Evidence confidence

City Modifier Evidence: 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: Referral ecosystem +0.4 pts
Tested rank range: #3–#6

Most important next check

Which property-management partners are expected to produce recurring opportunities for HomeSmiles?

#4Tier 3 · Mixed modeled alignment70.7

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +0.7 pts Target-market 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	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.71
Published local-market alignment	70.7

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.7 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?

#5Tier 3 · Mixed modeled alignment70.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemNo 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	+0.1
Property replacement-cycle demand	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.59
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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #5–#10

Most important next check

Which ZIP codes can Rainbow International Restoration serve within its target emergency-response time under normal and peak traffic conditions?

#6Tier 3 · Mixed modeled alignment70.6

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.3 pts Referral ecosystemNo 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	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.3
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.57
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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.3 pts
Tested rank range: #2–#10

Most important next check

Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?

#7Tier 3 · Mixed modeled alignment70.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +0.5 pts Target-market 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	+0.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.56
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: 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: #3–#12

Most important next check

Which use, storage, ventilation, or permit requirements apply to FASTSIGNS's proposed production or service base?

#8Tier 3 · Mixed modeled alignment70.5

PuroClean

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemNo 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	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.49
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: Referral ecosystem +0.4 pts
Tested rank range: #3–#12

Most important next check

What dispatch zones and maximum drive-time assumptions does PuroClean use for urgent service calls?

#9Tier 3 · Mixed modeled alignment70.5

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.4 pts Referral ecosystemNo 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	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.48
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: Referral ecosystem +0.4 pts
Tested rank range: #4–#11

Most important next check

What service radius and drive-time ceiling has Pillar To Post Home Inspectors validated for the proposed territory?

#10Tier 3 · Mixed modeled alignment70.4

Tiger Adjusters

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

Increase +0.4 pts Referral ecosystemNo 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	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.36
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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #8–#13

Most important next check

Which professional referral channels are expected to matter most to Tiger Adjusters, and what local relationship count supports the plan?

#11Tier 3 · Mixed modeled alignment70.4

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

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

Rank sensitivity: Moderately 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	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.35
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: 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: #8–#11

Most important next check

How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?

#12Tier 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 +0.3 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	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.34
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 +0.3 pts
Tested rank range: #4–#13

Most important next check

What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?

#13Tier 3 · Mixed modeled alignment70.3

Mister Sparky Electric

Electrical · skilled-trade home 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	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.29
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: 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: #9–#13

Most important next check

What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?

#14Tier 3 · Mixed modeled alignment70.0

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedNo material negative local adjustment identified

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	Measured; no meaningful local adjustment
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	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	Not included in the score
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.00
Published local-market alignment	70.0

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

Evidence confidence

City Modifier Evidence: 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: 0.0 pts
Tested rank range: #13–#14

Most important next check

Which zoning, occupancy, and permit requirements must be cleared before Workout Anytime approves a customer-facing site?

Metric registry

The 24 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	548,371people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data	Tucson, Arizona	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	1.1percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data	Tucson, Arizona	Evidence for Target-market demand	^[4]
Households in the 2020-2024 QuickFacts reference period	228,020households	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data	Tucson, Arizona	Evidence for Target-market demand, Territory quality	^[4]
Owner-occupied housing unit rate	51.8percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data	Tucson, Arizona	Evidence for Target-market demand, Property replacement-cycle demand	^[4]
All employer firms in the QuickFacts business reference year	8,973employer firms	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data	Tucson, Arizona	Evidence for Target-market demand, Referral ecosystem, Competitive environment, Sales and customer acquisition	^[4]
Total housing units in the 2024 ACS 5-year housing profile	247,823housing units	2020-2024 American Community Survey 5-year estimates	Tucson, Arizona	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[5]
Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipes	hard water present: yes; mineral buildup can shorten appliance life: yes; mineral buildup can clog pipes: yes; lime scale can restrict pipe flow: yes; lime scale can reduce water heater efficiency: yesdocumented condition flags	Current guidance accessed August 2026	Tucson Water service area	Evidence for Property replacement-cycle demand	^[7] ^[8]
City of Tucson minimum wage effective for 2026	15.45usd per hour	Rate effective January 1-December 31, 2026	City of Tucson; covered employees perform at least five hours of work per pay cycle within city boundaries	Evidence for Labor and staffing friction, Regulatory and operating friction	^[9] ^[2]
Mean hourly wage for all occupations in the Tucson MSA versus the United States	tucson msa: 30.38; united states: 33.54usd per hour	May 2025 occupational employment and wage estimates; release reissued June 24, 2026	Tucson, AZ MSA (Pima County)	Evidence for Labor and staffing friction	^[10]
Selected major occupational-group mean hourly wages in the Tucson MSA versus U.S. averages	food preparation and serving: tucson: 18.83, us: 17.86; building and grounds: tucson: 18.58, us: 19.66; sales: tucson: 22.64, us: 26.43; office and admin: tucson: 22.92, us: 24.79; construction and extraction: tucson: 26.71, us: 31.42; installation maintenance repair: tucson: 27.82, us: 30.44; transportation material moving: tucson: 21.95, us: 23.96usd per hour	May 2025 occupational employment and wage estimates; release reissued June 24, 2026	Tucson, AZ MSA (Pima County)	Evidence for Labor and staffing friction	^[10]
Tucson MSA unemployment rate in May 2026 preliminary data	4.7percent	Labor force through May 2026 and nonfarm employment through June 2026 preliminary	Tucson, AZ MSA	Evidence for Labor and staffing friction	^[11]
University of Arizona total Fall 2025 enrollment	54,384students	Fall 2025 enrollment and current employee fact set	University of Arizona	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[12]
University of Arizona employees including graduate assistants	15,764employees	Fall 2025 enrollment and current employee fact set	University of Arizona	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction, Sales and customer acquisition	^[12]
Selected Tucson MSA nonfarm employment sectors in June 2026 preliminary data	professional and business services: 48,500; education and health services: 74,900; government: 71,700jobs	Labor force through May 2026 and nonfarm employment through June 2026 preliminary	Tucson, AZ MSA	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[11]
Tucson industrial market conditions in Q2 2026	vacancy rate percent: 9; availability rate percent: 10.7; cumulative net absorption q3 2025 to q2 2026 sqft: -557,000; q2 2026 net absorption sqft: 49,000; average asking rent reported usd per sqft: 0.83; under construction sqft: 315,000mixed market metrics	Q2 2026	Tucson industrial market	Evidence for Real estate and site feasibility, Territory quality	^[15]
Tucson office market conditions in Q2 2026	vacancy rate percent: 13.9; availability rate percent: 14.6; q2 2026 net absorption sqft: 164,000; average asking rent usd per sqft: 22.24mixed market metrics	Q2 2026	Tucson office market	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[16]
I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028	status: under construction; project value usd: 600,000,000; scheduled completion: summer 2028project status	Active construction; scheduled completion summer 2028	I-10 southeast of downtown Tucson, Kino/Park through Country Club/Alvernon project area	Evidence for Transportation, routing, and parking, Territory quality	^[17] ^[18]
Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized	permanent sign permit required: yes; article: UDC Section 7A; current amending ordinance: 11803; scheduled termination date: 2026-08-31regulatory status	Current permit and Article 7A guidance accessed August 2026	City of Tucson	Evidence for Regulatory and operating friction, Sales and customer acquisition	^[19] ^[20] ^[21]
Planning and Development Services fee changes effective July 1, 2026	most nonvaluation permits increase percent: 5; sign permits increase percent: 10; rezoning entitlement increase percent: 10; special approvals increase percent: 25; code enforcement reinspection fee usd: 200mixed fee changes	Fees effective July 1, 2026	City of Tucson	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[22]
City development impact fees apply to new development and can also apply to expansion or changes in use that increase service need	new development: yes; expansion if higher service need: yes; change in use if higher service need: yes; amount depends on: service area, use, sizeapplicability rule	Current program guidance accessed August 2026	City of Tucson development impact fee service areas	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[23]
Pima County roadway development impact fee for attached residential, multifamily, or apartments	5,127usd per unit	Rates effective October 1, 2025 through September 30, 2026	Applicable Pima County roadway development impact fee service areas; not a City of Tucson fee amount	Evidence for Territory quality, Regulatory and operating friction	^[24]
University of Arizona procurement uses informal competition from $25,000 to $100,000 and formal sealed RFP/RFB processes at $100,000 and over	no competitive bid general rule below usd: 25,000; informal competition range usd: 25,000, 100,000; formal sealed process minimum usd: 100,000; small business restriction up to usd: 100,000procurement thresholds	Current procurement guidance accessed August 2026	University of Arizona	Evidence for Sales and customer acquisition, Referral ecosystem	^[13]
City formal solicitation responses are submitted electronically through the City e-procurement portal	vendor registration required for portal use: yes; formal solicitation responses electronic: yes; centralized bid opportunities: yesprocurement process flags	Current procurement process accessed August 2026	City of Tucson	Evidence for Sales and customer acquisition, Referral ecosystem	^[14]
City of Tucson declined to move forward with the proposed Project Blue data center proposal on August 6, 2025	project blue city proposal status: declined; decision date: 2025-08-06; new large scale data center rules adopted: 2026-08-05; new rules effective date: 2026-09-04regulatory project status	Mayor and Council action August 5, 2026; new regulations effective September 4, 2026; Project Blue proposal declined August 6, 2025	City of Tucson	Evidence for Labor and staffing friction, Regulatory and operating friction	^[25]

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.

Why every concept begins at 70.0

70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It 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 · Analysis updated August 7, 2026

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
Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied Tucson section; source citations embedded in docket
Scope
Tucson, Arizona section within a multi-city research docket; several statements are regional rather than city-limit specific
Locator
Tucson, Arizona section
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
2
Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
Used for: City of Tucson minimum wage effective for 2026
Publisher
Supplied research material
Data period
Supplied Tucson section
Scope
Tucson, Arizona section within a multi-city research docket
Locator
Tucson, Arizona section, subsections A-F
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
3
Franchise data - remake - Combine2Internal or supplied research; not publicly accessible.
Publisher
Supplied operational research
Data period
Supplied records; mixed vintages embedded in row notes
Scope
Rows labeled Tucson, Arizona include Downtown and Rita Ranch plus separate jurisdictions/areas such as Oro Valley, Marana, Sahuarita, and Vail/Pima County
Locator
All rows where %city%=Tucson and %state_name%=Arizona
Source tier
Tier 5 · supplied operational research
Accessed
August 7, 2026
4
QuickFacts: Tucson city, Arizona
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 QuickFacts reference period, Owner-occupied housing unit rate, and All employer firms in the QuickFacts business reference year
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 business data
Scope
Tucson city, Arizona
Locator
Population, housing, households, owner occupancy, and businesses
Source tier
Tier 1 · government
Accessed
August 7, 2026
5
Selected Housing Characteristics, ACS 5-Year Estimates Data Profiles, Table DP04
Used for: Total housing units in the 2024 ACS 5-year housing profile
Publisher
U.S. Census Bureau
Data period
2020-2024 American Community Survey 5-year estimates
Scope
Tucson city, Arizona
Locator
Housing occupancy and units-in-structure sections; year-built table reviewed for current age-profile research
Source tier
Tier 1 · government
Accessed
August 7, 2026
6
Tucson city, Arizona demographics and housing characteristics
Publisher
Demographics-US
Data period
Page reports 2021 Tucson city demographic and housing estimates
Scope
Tucson city, Arizona
Locator
Year structure built table
Source tier
Tier 4 · directional public data aggregator
Accessed
August 7, 2026
7
Hard Water
Used for: Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipes
Publisher
City of Tucson, Tucson Water
Data period
Current guidance accessed August 2026
Scope
Tucson Water service area; not identical to City of Tucson boundaries
Locator
Hard-water effects on appliances, pipes, taps, and calcium deposits
Source tier
Tier 1 · government
Accessed
August 7, 2026
8
Home Treatment
Used for: Tucson Water reports hard-water mineral buildup that can shorten appliance life and clog pipes
Publisher
City of Tucson, Tucson Water
Data period
Current guidance accessed August 2026
Scope
Tucson Water service area; not identical to City of Tucson boundaries
Locator
Lime-scale effects on pipe flow and water-heater efficiency
Source tier
Tier 1 · government
Accessed
August 7, 2026
9
Tucson Minimum Wage Act
Used for: City of Tucson minimum wage effective for 2026
Publisher
City of Tucson
Data period
Rate effective January 1-December 31, 2026
Scope
Employees performing at least five hours of work per pay cycle within City of Tucson boundaries, subject to stated exclusions
Locator
Summary, 2026 rate, coverage, and scheduling-pay requirements
Source tier
Tier 1 · government
Accessed
August 7, 2026
10
Occupational Employment and Wages in Tucson — May 2025
Used for: Mean hourly wage for all occupations in the Tucson MSA versus the United States and Selected major occupational-group mean hourly wages in the Tucson MSA versus U.S. averages
Publisher
U.S. Bureau of Labor Statistics
Published
June 24, 2026
Data period
May 2025 occupational employment and wage estimates; release reissued June 24, 2026
Scope
Tucson, AZ Metropolitan Statistical Area (Pima County)
Locator
Table A major occupational groups
Source tier
Tier 1 · government
Accessed
August 7, 2026
11
Tucson, AZ Economy at a Glance
Used for: Tucson MSA unemployment rate in May 2026 preliminary data and Selected Tucson MSA nonfarm employment sectors in June 2026 preliminary data
Publisher
U.S. Bureau of Labor Statistics
Data period
Labor force through May 2026 and nonfarm employment through June 2026 preliminary
Scope
Tucson, AZ Metropolitan Statistical Area
Locator
Labor force data and nonfarm wage and salary employment
Source tier
Tier 1 · government
Accessed
August 7, 2026
12
University Facts
Used for: University of Arizona total Fall 2025 enrollment and University of Arizona employees including graduate assistants
Publisher
University of Arizona
Data period
Fall 2025 enrollment and current employee fact set
Scope
University of Arizona, Tucson main-campus institution
Locator
Enrollment and employee facts
Source tier
Tier 2 · recognized public institution
Accessed
August 7, 2026
13
Vendor Relations
Used for: University of Arizona procurement uses informal competition from $25,000 to $100,000 and formal sealed RFP/RFB processes at $100,000 and over
Publisher
University of Arizona
Data period
Current procurement guidance accessed August 2026
Scope
University of Arizona purchasing and vendor relations
Locator
Sourcing supply, proposals and bids, solicitation guidance
Source tier
Tier 2 · recognized public institution
Accessed
August 7, 2026
14
Browse Bid Opportunities
Used for: City formal solicitation responses are submitted electronically through the City e-procurement portal
Publisher
City of Tucson
Data period
Current procurement process accessed August 2026
Scope
City of Tucson agency procurement
Locator
Vendor registration, centralized bid opportunities, electronic formal solicitation responses
Source tier
Tier 1 · government
Accessed
August 7, 2026
15
Tucson Industrial Figures Q2 2026
Used for: Tucson industrial market conditions in Q2 2026
Publisher
CBRE
Published
July 15, 2026
Data period
Q2 2026
Scope
Tucson industrial market
Locator
Vacancy, availability, absorption, asking rent, construction, and deliveries
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
16
Tucson Office Figures Q2 2026
Used for: Tucson office market conditions in Q2 2026
Publisher
CBRE
Published
July 15, 2026
Data period
Q2 2026
Scope
Tucson office market
Locator
Vacancy, availability, absorption, and asking rent
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
17
Interstate 10: Kino to Country Club Project
Used for: I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028
Publisher
Arizona Department of Transportation
Data period
Active construction; scheduled completion summer 2028
Scope
I-10 southeast of downtown Tucson from the Kino/Park area through Country Club/Alvernon project limits
Locator
Project status, limits, scope, and completion schedule
Source tier
Tier 1 · government
Accessed
August 7, 2026
18
Motorists to begin using new segment of I-10 in Tucson this weekend
Used for: I-10 Kino to Country Club reconstruction and widening is under construction with completion scheduled for summer 2028
Publisher
Arizona Department of Transportation
Data period
2026 construction progress update
Scope
I-10 project southeast of downtown Tucson
Locator
Traffic shifts, project value, segment construction, and continuation through 2028
Source tier
Tier 1 · government
Accessed
August 7, 2026
19
Sign Permits
Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized
Publisher
City of Tucson Planning and Development Services
Data period
Current permit and Article 7A guidance accessed August 2026
Scope
City of Tucson
Locator
Permanent sign permit process and Unified Development Code Section 7A Sign Standards
Source tier
Tier 1 · government
Accessed
August 7, 2026
20
Zoning Code
Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized
Publisher
City of Tucson Planning and Development Services
Data period
Current code status accessed August 2026
Scope
City of Tucson
Locator
Unified Development Code applicability, Urban Overlay Districts, and Sign Standards Ordinance 11803 sunset date
Source tier
Tier 1 · government
Accessed
August 7, 2026
21
CODE Tucson ’26 (Community Ordinances & Development Enhancements)
Used for: Permanent building and freestanding signs require City review/permits under Article 7A, with current Sign Standards amendment scheduled to terminate August 31, 2026 unless reauthorized
Publisher
City of Tucson Planning and Development Services
Data period
2026 code-update process
Scope
City of Tucson
Locator
Sign Code reauthorization issue and proposed removal of sunset date
Source tier
Tier 1 · government
Accessed
August 7, 2026
22
Rate and Fee Changes Approved by Mayor and Council, Effective July 1
Used for: Planning and Development Services fee changes effective July 1, 2026
Publisher
City of Tucson Planning and Development Services
Published
May 20, 2026
Data period
Fees effective July 1, 2026
Scope
City of Tucson planning, development, zoning, sign, and related permits
Locator
Approved PDSD rate and fee changes
Source tier
Tier 1 · government
Accessed
August 7, 2026
23
Development Impact Fees
Used for: City development impact fees apply to new development and can also apply to expansion or changes in use that increase service need
Publisher
City of Tucson
Data period
Current program guidance accessed August 2026
Scope
City of Tucson service areas
Locator
Applicability to new development, expansion, and change in use; fee depends on service area, use, and size
Source tier
Tier 1 · government
Accessed
August 7, 2026
24
Current Rates — Roadway Development Impact Fee
Used for: Pima County roadway development impact fee for attached residential, multifamily, or apartments
Publisher
Pima County
Data period
Rates effective October 1, 2025 through September 30, 2026
Scope
Pima County roadway development impact fee service areas; comparative to City of Tucson, not a City fee schedule
Locator
Residential and non-residential fee tables
Source tier
Tier 1 · government
Accessed
August 7, 2026
25
Regulations for Large-Scale Data Centers
Used for: City of Tucson declined to move forward with the proposed Project Blue data center proposal on August 6, 2025
Publisher
City of Tucson Planning and Development Services
Data period
Mayor and Council action August 5, 2026; new regulations effective September 4, 2026; Project Blue proposal declined August 6, 2025
Scope
City of Tucson
Locator
August 2025 Project Blue disposition and August 2026 adoption/effective date
Source tier
Tier 1 · government
Accessed
August 7, 2026

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.

Request a private franchise review

View methodology View source registry

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 Tucson, Arizona

Why these concepts were evaluated

What stood out in our assessment

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

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in Tucson, Arizona

Best Restoration franchise opportunities we assessed in Tucson, Arizona

Explore the complete score calculations

City Wide

Full score ledger

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ActionCOACH

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HomeSmiles

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Jan-Pro International

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Rainbow International Restoration

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ZOOM DRAIN

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FASTSIGNS

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PuroClean

Full score ledger

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Pillar To Post Home Inspectors

Full score ledger

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Tiger Adjusters

Full score ledger

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Mr. Rooter

Full score ledger

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Aire Serv

Full score ledger

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Mister Sparky Electric

Full score ledger

Evidence confidence

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Workout Anytime

Full score ledger

Evidence confidence

Most important next check

The 24 local metrics behind this analysis

What the model can and cannot establish

How the local-alignment ranking is calculated

Measure the city

Profile each operating model