Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Tulsa, Oklahoma

We ranked 14 franchise concepts for Tulsa, Oklahoma 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

16Primary sources

21Local 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

70.6 average across 2 concepts

Largest positive factorTarget-market demand

0.5 points average among 11 affected concepts

Largest negative factorLabor and staffing friction

0.3 points average reduction among 10 affected concepts

Most assumption-sensitive rankFASTSIGNS

Tested rank range spans 8 positions

Executive conclusion

What the ranking means for Tulsa, Oklahoma

Our Tulsa, Oklahoma 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, ActionCOACH, and FASTSIGNS produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 11 concepts and added 0.5 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	71.8Tier 3 · Mixed modeled alignment	+1.1 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
2	ActionCOACHBusiness coaching	71.5Tier 3 · Mixed modeled alignment	+0.9 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
3	FASTSIGNSSigns and graphics	71.2Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
4	Jan-Pro InternationalCommercial cleaning	71.2Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
5	HomeSmilesProperty maintenance services	70.9Tier 3 · Mixed modeled alignment	+0.6 ptsTarget-market demand	-0.2 ptsLabor and staffing friction	Moderate evidence confidence
6	ZOOM DRAINDrain and sewer service	70.7Tier 3 · Mixed modeled alignment	+0.5 ptsProperty replacement-cycle demand	-0.4 ptsLabor and staffing friction	Moderate evidence confidence
7	Rainbow International RestorationRestoration	70.6Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.2 ptsLabor and staffing friction	Moderate evidence confidence
8	PuroCleanRestoration	70.6Tier 3 · Mixed modeled alignment	+0.5 ptsReferral ecosystem	-0.2 ptsLabor and staffing friction	Moderate evidence confidence
9	Pillar To Post Home InspectorsHome inspection	70.6Tier 3 · Mixed modeled alignment	+0.3 ptsReferral ecosystem	-0.1 ptsLabor and staffing friction	Moderate evidence confidence
10	Tiger AdjustersPublic insurance adjusting	70.4Tier 3 · Mixed modeled alignment	+0.3 ptsReferral ecosystem	-0.1 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] ^[5] ^[6] ^[7] ^[17] ^[20] ^[21] ^[22] ^[1] ^[2] ^[3]Property replacement-cycle demand: ^[5] ^[1] ^[23] ^[24]Competitive environment: ^[4] ^[7] ^[3]Labor and staffing friction: ^[7] ^[8] ^[5] ^[2] ^[1]Transportation, routing, and parking: ^[9] ^[10] ^[11] ^[12] ^[4] ^[2] ^[3]Real estate and site feasibility: ^[16] ^[17] ^[25] ^[13] ^[1]Sales and customer acquisition: ^[4] ^[7] ^[18] ^[19] ^[3]Referral ecosystem: ^[7] ^[4] ^[18] ^[19] ^[3]Territory quality: ^[4] ^[16] ^[17] ^[9] ^[12] ^[15] ^[23] ^[24] ^[1] ^[3]Regulatory and operating friction: ^[15] ^[13] ^[14] ^[2] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Labor and staffing friction	Referral ecosystem
#1 City Wide	+1.1 pts	—	—	+0.7 pts
#2 ActionCOACH	+0.9 pts	—	—	+0.6 pts
#3 FASTSIGNS	+1.0 pts	—	-0.1 pts	+0.3 pts
#4 Jan-Pro International	+1.0 pts	—	—	+0.2 pts
#5 HomeSmiles	+0.6 pts	—	-0.2 pts	+0.5 pts
#6 ZOOM DRAIN	+0.2 pts	+0.5 pts	-0.4 pts	+0.4 pts
#7 Rainbow International Restoration	—	+0.4 pts	-0.2 pts	+0.4 pts
#8 PuroClean	—	+0.4 pts	-0.2 pts	+0.5 pts
#9 Pillar To Post Home Inspectors	+0.1 pts	+0.2 pts	-0.1 pts	+0.3 pts
#10 Tiger Adjusters	+0.1 pts	—	-0.1 pts	+0.3 pts
#11 Mr. Rooter	+0.2 pts	+0.5 pts	-0.5 pts	+0.2 pts
#12 Aire Serv	+0.2 pts	+0.5 pts	-0.5 pts	—
#13 Mister Sparky Electric	—	+0.4 pts	-0.5 pts	+0.1 pts
#14 Workout Anytime	-0.2 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 WideStable · tested #1–#1

#2 ActionCOACHModerately sensitive · tested #2–#4

#3 FASTSIGNSHighly sensitive · tested #3–#11

#4 Jan-Pro InternationalHighly sensitive · tested #2–#10

#5 HomeSmilesModerately sensitive · tested #5–#7

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

#7 Rainbow International RestorationHighly sensitive · tested #2–#9

#8 PuroCleanHighly sensitive · tested #3–#10

#9 Pillar To Post Home InspectorsHighly sensitive · tested #5–#10

#10 Tiger AdjustersHighly sensitive · tested #6–#13

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

#12 Aire ServModerately sensitive · tested #11–#14

#13 Mister Sparky ElectricModerately sensitive · tested #12–#14

#14 Workout AnytimeModerately sensitive · tested #12–#14

Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.

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	+1.1
Property replacement-cycle demand	Not applicable to this operating model
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	+0.7
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.81
Published local-market alignment	71.8

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

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

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

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

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

Interpretation

How to interpret the result

City Wide, ActionCOACH, FASTSIGNS led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for FASTSIGNS, Jan-Pro International, ZOOM DRAIN; 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 environment52Mixed 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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. FASTSIGNS moved from #3 to #11, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14

Average among affected+0.5 pts

Average across all concepts+0.4 pts

Concepts changing rank9

Concepts helped most

City WideFacility management

+1.1 pts

FASTSIGNSSigns and graphics

+1.0 pts

Jan-Pro InternationalCommercial cleaning

+1.0 pts

ActionCOACHBusiness coaching

+0.9 pts

HomeSmilesProperty maintenance services

+0.6 pts

Concepts challenged most

Workout AnytimeFitness

-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
Territory qualityNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Tulsa, Oklahoma

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 70.6 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.5 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.2 points on average.

Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared: 2
Score range: 70.6–70.6
Category average: 70.6

Rainbow International Restoration70.6

PuroClean70.6

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 alignment71.8

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.1 pts Target-market demandNo 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	+1.1
Property replacement-cycle demand	Not applicable to this operating model
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	+0.7
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.81
Published local-market alignment	71.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.1 pts
Tested rank range: #1–#1

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 alignment71.5

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.9 pts Target-market 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	+0.9
Property replacement-cycle demand	Not applicable to this operating model
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	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.47
Published local-market alignment	71.5

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

Evidence confidence

City Modifier Evidence: Adequate
Factor Research Coverage: 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–#4

Most important next check

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

#3Tier 3 · Mixed modeled alignment71.2

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.0 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	+1.0
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	+0.3
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.19
Published local-market alignment	71.2

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: Target-market demand +1.0 pts
Tested rank range: #3–#11

Most important next check

Which local customer verticals are expected to generate repeat signage and graphics work for FASTSIGNS?

#4Tier 3 · Mixed modeled alignment71.2

Jan-Pro International

Commercial cleaning · recurring commercial route service

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	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	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.17
Published local-market alignment	71.2

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: Target-market demand +1.0 pts
Tested rank range: #2–#10

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 alignment70.9

HomeSmiles

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

Increase +0.6 pts Target-market demandReduction -0.2 pts Labor and staffing friction

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	+0.6
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	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.95
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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.6 pts
Tested rank range: #5–#7

Most important next check

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

#6Tier 3 · Mixed modeled alignment70.7

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.5 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	+0.2
Property replacement-cycle demand	+0.5
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	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.66
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: Property replacement-cycle demand +0.5 pts
Tested rank range: #6–#10

Most important next check

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

#7Tier 3 · Mixed modeled alignment70.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemReduction -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	Not applicable to this operating model
Property replacement-cycle demand	+0.4
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	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.63
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: #2–#9

Most important next check

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

#8Tier 3 · Mixed modeled alignment70.6

PuroClean

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -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	Not applicable to this operating model
Property replacement-cycle demand	+0.4
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	+0.5
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.63
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 +0.5 pts
Tested rank range: #3–#10

Most important next check

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

#9Tier 3 · Mixed modeled alignment70.6

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.3 pts Referral ecosystemReduction -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	+0.1
Property replacement-cycle demand	+0.2
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	+0.3
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.59
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 +0.3 pts
Tested rank range: #5–#10

Most important next check

Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection 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 +0.3 pts Referral ecosystemReduction -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	+0.1
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	+0.3
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.40
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 +0.3 pts
Tested rank range: #6–#13

Most important next check

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

#11Tier 3 · Mixed modeled alignment70.4

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

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

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	+0.2
Property replacement-cycle demand	+0.5
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	+0.2
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.36
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: 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: #8–#11

Most important next check

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

#12Tier 3 · Mixed modeled alignment70.2

Aire Serv

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

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

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	+0.2
Property replacement-cycle demand	+0.5
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 applicable to this operating model
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	70.17
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: Labor and staffing friction -0.5 pts
Tested rank range: #11–#14

Most important next check

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

#13Tier 3 · Mixed modeled alignment70.0

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.4 pts Property replacement-cycle demandReduction -0.5 pts Labor and staffing friction

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	+0.4
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	+0.1
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	70.05
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: #12–#14

Most important next check

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

#14Tier 3 · Mixed modeled alignment69.8

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedReduction -0.2 pts Target-market demand

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	-0.2
Property replacement-cycle demand	Not applicable to this operating model
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 applicable to this operating model
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	69.81
Published local-market alignment	69.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand -0.2 pts
Tested rank range: #12–#14

Most important next check

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

Metric registry

The 21 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	416,209people	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	0.8percent	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Target-market demand	^[4]
Estimated households and persons per household	households: 172,909; persons per household: 2.34households and persons	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Target-market demand, Territory quality	^[4]
Selected city economic activity measures from 2022	retail sales thousand usd: 9,895,976; retail sales per capita usd: 24,034; health care and social assistance receipts thousand usd: 7,723,986; transportation and warehousing receipts thousand usd: 6,457,338; accommodation and food services sales thousand usd: 1,919,186usd and thousand usd	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[4]
Median household income, poverty rate, and median gross rent	median household income usd: 59,838; poverty rate percent: 18.7; median gross rent usd: 1,052usd and percent	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Target-market demand	^[4]
Mean travel time to work for workers age 16 and older	18.9minutes	July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data	Tulsa, Oklahoma	Evidence for Transportation, routing, and parking, Target-market demand, Territory quality	^[4]
Tulsa metropolitan nonfarm employment in June 2026	total nonfarm thousand jobs: 484; year over year change percent: -0.2thousand jobs and percent	June 2026 preliminary labor-force and payroll employment data extracted August 7, 2026	Tulsa, Oklahoma metropolitan statistical area	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[7]
Selected Tulsa metropolitan industry employment in June 2026	professional and business services thousand jobs: 63.5; education and health services thousand jobs: 84.1; government thousand jobs: 63.4; trade transportation utilities thousand jobs: 86.8; construction thousand jobs: 30.7; manufacturing thousand jobs: 53.3thousand jobs	June 2026 preliminary labor-force and payroll employment data extracted August 7, 2026	Tulsa, Oklahoma metropolitan statistical area	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction, Sales and customer acquisition	^[7]
Tulsa metropolitan unemployment rate in June 2026	4.5percent	June 2026 preliminary labor-force and payroll employment data extracted August 7, 2026	Tulsa, Oklahoma metropolitan statistical area	Evidence for Labor and staffing friction	^[7]
Selected Tulsa metropolitan major occupational-group mean hourly wages compared with the United States	all occupations: tulsa usd per hour: 27.52, us usd per hour: 32.66; food preparation and serving: tulsa usd per hour: 14.26, us usd per hour: 17.32; building and grounds cleaning and maintenance: tulsa usd per hour: 16.26, us usd per hour: 19.01; sales and related: tulsa usd per hour: 22.42, us usd per hour: 26; office and administrative support: tulsa usd per hour: 21.73, us usd per hour: 24.12; installation maintenance and repair: tulsa usd per hour: 30.28, us usd per hour: 29.63; production: tulsa usd per hour: 24.19, us usd per hour: 24.08usd per hour	May 2024	Tulsa, Oklahoma metropolitan statistical area	Evidence for Labor and staffing friction	^[8]
Owner- and renter-occupied housing units built before 1980	owner occupied pre 1980 units: 58,700; owner occupied pre 1980 share percent: 70; renter occupied pre 1980 units: 49,200; renter occupied pre 1980 share percent: 62units and percent	Primarily 2016-2020 CHAS/ACS housing data, with 2018-2022 ACS mapping and current 2025-2029 planning context	Tulsa, Oklahoma	Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality	^[5] ^[1]
Combined pre-1980 share of owner- and renter-occupied units in the cited housing table	pre 1980 units: 107,900; total units in tenure tables: 163,364; share percent: 66.05units and percent	Primarily 2016-2020 CHAS/ACS housing data, with 2018-2022 ACS mapping and current 2025-2029 planning context	Tulsa, Oklahoma	Evidence for Property replacement-cycle demand, Labor and staffing friction, Territory quality	^[5]
City households by housing-cost-burden band in the current consolidated plan	households 30 to 50 percent income: 26,300; share 30 to 50 percent income percent: 16; households over 50 percent income: 23,615; share over 50 percent income percent: 14.4; combined share at least 30 percent income percent: 30.4households and percent	Primarily 2016-2020 CHAS/ACS housing data, with 2018-2022 ACS mapping and current 2025-2029 planning context	Tulsa, Oklahoma	Evidence for Target-market demand	^[5] ^[6]
I-44 and US-75 interchange reconfiguration is an active multi-year construction project	project cost million usd: 252; construction start: 2025-04-07; anticipated completion: summer 2028; bridges in project area: 17; typical vehicles per day: 150,000; typical trucks per day: 21,000; major scope: widen US-75 from 71st Street to 41st Street, replace US-75 interchange at 61st Street, new frontage road between 61st Street and Skelly Drive, extend and connect 51st Street under US-75project metrics	Construction beginning April 7, 2025 with anticipated completion in summer 2028	I-44 / US-75 interchange and adjacent Tulsa roadway network	Evidence for Transportation, routing, and parking, Territory quality	^[9] ^[10] ^[11] ^[2]
US-75 bridge replacement and diverging-diamond project at 81st Street is active	project cost million usd approximate: 27; construction start: 2026-06-01; expected completion: end of 2027; peak period lanes maintained each direction: 2; scope: replace northbound and southbound US-75 bridges over 81st Street, widen 81st Street below the highway, convert interchange to a diverging diamondproject metrics	Construction beginning June 2026 with completion expected by the end of 2027	US-75 at 81st Street, Tulsa	Evidence for Transportation, routing, and parking, Territory quality	^[12]
Tulsa industrial market vacancy, rent, and submarket variation in Q2 2026	inventory sqft: 84,827,497; overall vacancy rate percent: 2.1; overall asking rent usd psf nnn: 7.73; flex asking rent usd psf nnn: 9.33; q2 net absorption sqft: 1,626,770; ytd net absorption sqft: 631,912; submarket vacancy rate min percent: 0; submarket vacancy rate max percent: 7.1sqft percent and usd psf	Q2 2026	Tulsa industrial market; broker-defined submarkets may extend beyond Tulsa city limits	Evidence for Real estate and site feasibility, Territory quality	^[16]
Tulsa office market vacancy, rent, and submarket variation in Q2 2026	inventory sqft: 49,943,377; overall vacancy rate percent: 9.9; overall asking rent usd psf full service: 19.65; cbd vacancy rate percent: 9.3; cbd asking rent usd psf full service: 22.23; submarket vacancy rate min percent: 0; submarket vacancy rate max percent: 24.3sqft percent and usd psf	Q2 2026	Tulsa office market; broker-defined submarkets may extend beyond Tulsa city limits	Evidence for Real estate and site feasibility, Territory quality, Target-market demand	^[17]
Current Route 66 Overlay sign provisions are limited to qualifying signs and retain underlying zoning	overlay: RT66 Route 66 Overlay; qualifying new signage neon minimum percent of sign face: 25; dynamic display treatment: Dynamic displays are not permitted to utilize the provisions of the Route 66 Overlay; underlying zoning treatment: Underlying base-zoning sign regulations continue to apply unless expressly modified by the overlay; selected overlay incentives: freestanding or projecting sign area increase max percent: 50, wall sign area increase max percent: 25legal rule	Current zoning code accessed August 2026; Route 66 provisions reflect amendments through at least May 22, 2024	Route 66 Overlay District, Tulsa	Evidence for Regulatory and operating friction, Territory quality	^[15] ^[2] ^[3]
Current Tulsa Planning fee for accelerated building-permit release and 2025 fee restructuring	authorization for accelerated release building permit usd: 700; fee structure effective date: 2025-01-14; prior variable fee types: 68; current flat fee types: 34usd and count	Current fee schedule accessed August 2026	City of Tulsa planning applications	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[13] ^[14] ^[2]
City of Tulsa vendor registration and competitive-purchase thresholds	vendor registration required: yes; under 2500 process: Purchasing card may be used; 2500 to 24999 process: Informal competitive process; at least four quotes; 25000 and above process: Formal competitive process; vendor notification method: Registered vendors may be notified based on selected NIGP commodity codesprocurement rules	Current vendor-registration process accessed August 2026	City of Tulsa	Evidence for Referral ecosystem, Sales and customer acquisition, Target-market demand	^[18] ^[19]
Tulsa Community College preliminary headcount declines from spring to summer 2026	spring 2026 unduplicated headcount: 15,311; summer 2026 unduplicated headcount: 7,167; absolute change: -8,144; percent change: -53.19students and percent	Spring 2026 preliminary enrollment after add/drop	Tulsa Community College system, including multiple campuses and off-campus/concurrent enrollment	Evidence for Target-market demand, Labor and staffing friction, Territory quality	^[21] ^[22] ^[20] ^[2]

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 8, 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 Utility Delta Audit: A Private Equity Real Estate AnalysisInternal or supplied research; not publicly accessible.
Used for: Owner- and renter-occupied housing units built before 1980
Publisher
Supplied research material
Data period
Research claims and cited sources accessed through February 24, 2026
Scope
Tulsa section within a multi-city structural research docket
Locator
Tulsa, Oklahoma section covering soil, housing age, commuting, commercial real estate, and operating hypotheses
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
2
Forensic Municipal Constraint and Structural Friction ReportInternal or supplied research; not publicly accessible.
Used for: I-44 and US-75 interchange reconfiguration is an active multi-year construction project, Current Route 66 Overlay sign provisions are limited to qualifying signs and retain underlying zoning, Current Tulsa Planning fee for accelerated building-permit release and 2025 fee restructuring, and Tulsa Community College preliminary headcount declines from spring to summer 2026
Publisher
Supplied research material
Data period
Research claims and cited sources accessed through February 19, 2026
Scope
Tulsa section within a multi-city municipal research docket
Locator
Tulsa, Oklahoma section covering labor, planning fees, I-44/US-75 construction, Route 66 signage, and TCC enrollment
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
3
Franchise data - remake - B startInternal or supplied research; not publicly accessible.
Used for: Current Route 66 Overlay sign provisions are limited to qualifying signs and retain underlying zoning
Publisher
Supplied research material
Data period
Undated neighborhood research supplied August 2026
Scope
Six Tulsa neighborhood or district records: Cherry Street, Blue Dome District, Kendall Whittier, Utica Square, Brady Arts District, and Downtown
Locator
Rows with %city%=Tulsa and %state_name%=Oklahoma
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
4
QuickFacts: Tulsa city, Oklahoma
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households and persons per household, Selected city economic activity measures from 2022, and Median household income, poverty rate, and median gross rent
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 demographic and income estimates; 2022 economic data
Scope
Tulsa city, Oklahoma
Locator
Population, households, transportation, income, poverty, and economy tables
Source tier
Tier 1 · government
Accessed
August 7, 2026
5
2025-2029 Consolidated Plan and First Year Annual Action Plan
Used for: Owner- and renter-occupied housing units built before 1980, Combined pre-1980 share of owner- and renter-occupied units in the cited housing table, and City households by housing-cost-burden band in the current consolidated plan
Publisher
City of Tulsa
Published
January 1, 2025
Data period
Primarily 2016-2020 CHAS/ACS housing data, with 2018-2022 ACS mapping and current 2025-2029 planning context
Scope
City of Tulsa
Locator
NA-25 housing cost burden; MA-20 housing condition; Tables 38-39 year built and pre-1980 stock
Source tier
Tier 1 · government
Accessed
August 7, 2026
6
Second Year Annual Action Plan for 2026-2027 Draft
Used for: City households by housing-cost-burden band in the current consolidated plan
Publisher
City of Tulsa
Published
January 1, 2026
Data period
2026-2027 planning cycle; draft status at access
Scope
City of Tulsa
Locator
Executive Summary discussion of affordable-housing supply, cost burden, and wage-to-housing-cost pressure
Source tier
Tier 1 · government
Accessed
August 7, 2026
7
Tulsa, OK Economy at a Glance
Used for: Tulsa metropolitan nonfarm employment in June 2026, Selected Tulsa metropolitan industry employment in June 2026, and Tulsa metropolitan unemployment rate in June 2026
Publisher
U.S. Bureau of Labor Statistics
Data period
June 2026 preliminary labor-force and payroll employment data extracted August 7, 2026
Scope
Tulsa, Oklahoma metropolitan statistical area
Locator
Labor force data and nonfarm wage-and-salary employment by major industry
Source tier
Tier 1 · government
Accessed
August 7, 2026
8
Occupational Employment and Wages in Tulsa — May 2024
Used for: Selected Tulsa metropolitan major occupational-group mean hourly wages compared with the United States
Publisher
U.S. Bureau of Labor Statistics
Published
July 3, 2025
Data period
May 2024
Scope
Tulsa, Oklahoma metropolitan statistical area
Locator
Table A, major occupational groups; Tulsa versus United States mean hourly wage and employment shares
Source tier
Tier 1 · government
Accessed
August 7, 2026
9
Setting the sun on Traffic Henge: Work begins April 7 on I-44/US-75 interchange
Used for: I-44 and US-75 interchange reconfiguration is an active multi-year construction project
Publisher
Oklahoma Department of Transportation
Published
April 3, 2025
Data period
Construction beginning April 7, 2025 with anticipated completion in summer 2028
Scope
I-44 and US-75 interchange and adjacent Tulsa corridors
Locator
Project scope, closure information, $252 million contract, and summer 2028 completion estimate
Source tier
Tier 1 · government
Accessed
August 7, 2026
10
Sen. Lankford, City of Tulsa and ODOT break ground on $252 million Tulsa Stonehenge project
Used for: I-44 and US-75 interchange reconfiguration is an active multi-year construction project
Publisher
Oklahoma Department of Transportation
Published
April 23, 2025
Data period
Active project scheduled through summer 2028
Scope
I-44 and US-75 interchange, Tulsa
Locator
Project scope, 17 bridges, typical daily traffic, truck traffic, and completion estimate
Source tier
Tier 1 · government
Accessed
August 7, 2026
11
Major Projects
Used for: I-44 and US-75 interchange reconfiguration is an active multi-year construction project
Publisher
Oklahoma Department of Transportation
Data period
Current project-status page accessed August 2026
Scope
Oklahoma statewide; identifies the I-44/US-75 Tulsa interchange as ongoing
Locator
Ongoing Projects list
Source tier
Tier 1 · government
Accessed
August 7, 2026
12
US-75 bridge replacement project at 81st St. begins Monday
Used for: US-75 bridge replacement and diverging-diamond project at 81st Street is active
Publisher
Oklahoma Department of Transportation
Published
May 28, 2026
Data period
Construction beginning June 2026 with completion expected by the end of 2027
Scope
US-75 at 81st Street, Tulsa
Locator
Bridge replacement scope, lane configuration, $27 million project cost, and completion estimate
Source tier
Tier 1 · government
Accessed
August 7, 2026
13
Applications & Fees
Used for: Current Tulsa Planning fee for accelerated building-permit release and 2025 fee restructuring
Publisher
Tulsa Planning Office
Data period
Current fee schedule accessed August 2026
Scope
City of Tulsa planning and land-use applications
Locator
Current application-fee table; Authorization for an Accelerated Release of a Building Permit
Source tier
Tier 1 · government
Accessed
August 7, 2026
14
New Application Fees To Take Effect January 14, 2025
Used for: Current Tulsa Planning fee for accelerated building-permit release and 2025 fee restructuring
Publisher
Tulsa Planning Office
Published
January 1, 2025
Data period
Fee changes effective January 14, 2025
Scope
Tulsa Metropolitan Area Planning Commission and Board of Adjustment applications in the City of Tulsa
Locator
Announcement that 68 variable fee types were consolidated into 34 flat fee types
Source tier
Tier 1 · government
Accessed
August 7, 2026
15
Tulsa Zoning Code, Chapter 20 Overlay Districts, Section 20.070 RT66 Route 66 Overlay
Used for: Current Route 66 Overlay sign provisions are limited to qualifying signs and retain underlying zoning
Publisher
City of Tulsa via Municode Library
Data period
Current zoning code accessed August 2026; Route 66 provisions reflect amendments through at least May 22, 2024
Scope
Mapped Route 66 Overlay District within Tulsa
Locator
Section 20.070 A-B: applicability, underlying zoning, neon-qualified signs, and dynamic-display treatment
Source tier
Tier 1 · government
Accessed
August 7, 2026
16
Tulsa Industrial MarketBeat Q2 2026
Used for: Tulsa industrial market vacancy, rent, and submarket variation in Q2 2026
Publisher
Cushman & Wakefield
Published
July 1, 2026
Data period
Q2 2026
Scope
Tulsa industrial market and broker-defined submarkets
Locator
Market fundamentals and market-statistics table
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
17
Tulsa Office MarketBeat Q2 2026
Used for: Tulsa office market vacancy, rent, and submarket variation in Q2 2026
Publisher
Cushman & Wakefield
Published
July 1, 2026
Data period
Q2 2026
Scope
Tulsa office market and broker-defined submarkets
Locator
Market fundamentals and market-statistics table
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
18
Register as a Vendor
Used for: City of Tulsa vendor registration and competitive-purchase thresholds
Publisher
City of Tulsa
Data period
Current vendor-registration process accessed August 2026
Scope
City of Tulsa procurement
Locator
Vendor registration requirement and NIGP commodity-code selection
Source tier
Tier 1 · government
Accessed
August 7, 2026
19
Vendor FAQs
Used for: City of Tulsa vendor registration and competitive-purchase thresholds
Publisher
City of Tulsa
Published
May 29, 2024
Data period
Current procurement thresholds and process accessed August 2026
Scope
City of Tulsa procurement
Locator
Purchase thresholds, informal quote process, formal competitive process, and vendor notification
Source tier
Tier 1 · government
Accessed
August 7, 2026
20
Institutional Research, Reporting & Analytics
Used for: Tulsa Community College preliminary headcount declines from spring to summer 2026
Publisher
Tulsa Community College
Data period
Current institutional data page; Fall 2025 fast facts and 2026 preliminary report links
Scope
Tulsa Community College system
Locator
Enrollment Fast Facts and preliminary enrollment report links
Source tier
Tier 2 · recognized institutional research
Accessed
August 7, 2026
21
Preliminary Enrollment Report - Spring 2026
Used for: Tulsa Community College preliminary headcount declines from spring to summer 2026
Publisher
Tulsa Community College
Published
January 27, 2026
Data period
Spring 2026 preliminary enrollment after add/drop
Scope
Tulsa Community College system, including named campuses and off-campus/concurrent enrollment
Locator
Unduplicated total headcount and enrollment-status table
Source tier
Tier 2 · recognized institutional research
Accessed
August 7, 2026
22
Preliminary Enrollment Report - Summer 2026
Used for: Tulsa Community College preliminary headcount declines from spring to summer 2026
Publisher
Tulsa Community College
Published
June 8, 2026
Data period
Summer 2026 preliminary enrollment after add/drop
Scope
Tulsa Community College system, including named campuses and off-campus/concurrent enrollment
Locator
Unduplicated total headcount and enrollment-status table
Source tier
Tier 2 · recognized institutional research
Accessed
August 7, 2026
23
Web Soil Survey
Publisher
USDA Natural Resources Conservation Service
Data period
Current soil-survey interface accessed August 2026
Scope
Property- and area-of-interest-specific U.S. soil mapping, including Tulsa-area parcels when an AOI is supplied
Locator
Area of Interest, Soil Map, and Soil Data Explorer workflow
Source tier
Tier 1 · government
Accessed
August 7, 2026
24
Oklahoma Geologic Quadrangles (OGQ): OGQ-87 Geologic map of the Tulsa 7.5' quadrangle, Tulsa County, Oklahoma
Publisher
Oklahoma Geological Survey, University of Oklahoma
Published
January 1, 2013
Data period
2013 Tulsa quadrangle mapping; index current at access
Scope
Tulsa 7.5' quadrangle, Tulsa County, Oklahoma
Locator
OGQ-87 GIS and color map entries
Source tier
Tier 1 · government
Accessed
August 7, 2026
25
Shallow-Bay Industrial Availability Remains Tight Amid Strong Demand
Publisher
CBRE
Published
March 24, 2026
Data period
National shallow-bay industrial conditions through early 2026
Scope
United States shallow-bay industrial market; comparative methodology context only
Locator
Discussion that shallow-bay vacancy can diverge from overall industrial vacancy
Source tier
Tier 3 · credible industry
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 Tulsa, Oklahoma

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Tulsa, Oklahoma

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

Concepts challenged most

Property replacement-cycle demand

Concepts helped most

Labor and staffing friction

Concepts challenged most

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in Tulsa, Oklahoma

Best Restoration franchise opportunities we assessed in Tulsa, Oklahoma

Explore the complete score calculations

City Wide

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ActionCOACH

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FASTSIGNS

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Jan-Pro International

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HomeSmiles

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ZOOM DRAIN

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Rainbow International Restoration

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PuroClean

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Pillar To Post Home Inspectors

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Tiger Adjusters

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Mr. Rooter

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Aire Serv

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Mister Sparky Electric

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Workout Anytime

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The 21 local metrics behind this analysis