69.7 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Fort Worth, Texas
We ranked 14 franchise concepts for Fort Worth, Texas 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.
14Concepts evaluated
30Sources used
20Primary 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
0.2 points average among 6 affected concepts
0.3 points average reduction among 14 affected concepts
Tested rank range spans 10 positions
Executive conclusion
What the ranking means for Fort Worth, Texas
Our Fort Worth, Texas 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, Jan-Pro International, and ActionCOACH produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 6 concepts and added 0.2 points on average among them. Territory quality was the broadest negative pressure, reducing the 14 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 | 70.4Tier 3 · Mixed modeled alignment | +0.4 ptsTarget-market demand | -0.1 ptsTerritory quality | Moderate evidence confidence |
| 2 | Jan-Pro InternationalCommercial cleaning | 70.1Tier 3 · Mixed modeled alignment | +0.3 ptsTarget-market demand | -0.3 ptsTerritory quality | Moderate evidence confidence |
| 3 | ActionCOACHBusiness coaching | 70.0Tier 3 · Mixed modeled alignment | +0.1 ptsTarget-market demand | -0.1 ptsTerritory quality | Moderate evidence confidence |
| 4 | HomeSmilesProperty maintenance services | 69.8Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.3 ptsTerritory quality | Moderate evidence confidence |
| 5 | Tiger AdjustersPublic insurance adjusting | 69.8Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.2 ptsTerritory quality | Moderate evidence confidence |
| 6 | FASTSIGNSSigns and graphics | 69.8Tier 3 · Mixed modeled alignment | +0.2 ptsTarget-market demand | -0.4 ptsTerritory quality | Moderate evidence confidence |
| 7 | Pillar To Post Home InspectorsHome inspection | 69.7Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.3 ptsTerritory quality | Moderate evidence confidence |
| 8 | Rainbow International RestorationRestoration | 69.7Tier 3 · Mixed modeled alignment | +0.1 ptsTarget-market demand | -0.4 ptsTerritory quality | Moderate evidence confidence |
| 9 | Aire ServHVAC installation, repair, and maintenance | 69.7Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.3 ptsTerritory quality | Moderate evidence confidence |
| 10 | Mister Sparky ElectricElectrical | 69.6Tier 3 · Mixed modeled alignment | No material positive local adjustment | -0.4 ptsTerritory quality | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
Primary source records by factorTarget-market demand: [7] [8] [12] [11] [27] [28] [25] [4] [6]Property replacement-cycle demand: [7] [14] [15] [16] [17] [4]Competitive environment: [8] [12] [13] [6]Labor and staffing friction: [9] [10] [11] [12] [25] [4] [5]Transportation, routing, and parking: [22] [23] [6] [5]Real estate and site feasibility: [24] [26] [25] [19] [20] [21] [4] [6]Sales and customer acquisition: [8] [12] [13] [29] [30] [6]Referral ecosystem: [27] [28] [29] [30] [6]Territory quality: [8] [25] [27] [28] [24] [23] [4] [6]Regulatory and operating friction: [20] [21] [18] [19] [22] [29] [30] [5] [6]
View the chart data as a table
| Concept | Target-market demand | Territory quality |
|---|---|---|
| #1 City Wide | +0.4 pts | -0.1 pts |
| #2 Jan-Pro International | +0.3 pts | -0.3 pts |
| #3 ActionCOACH | +0.1 pts | -0.1 pts |
| #4 HomeSmiles | +0.2 pts | -0.3 pts |
| #5 Tiger Adjusters | — | -0.2 pts |
| #6 FASTSIGNS | +0.2 pts | -0.4 pts |
| #7 Pillar To Post Home Inspectors | — | -0.3 pts |
| #8 Rainbow International Restoration | +0.1 pts | -0.4 pts |
| #9 Aire Serv | — | -0.3 pts |
| #10 Mister Sparky Electric | — | -0.4 pts |
| #11 PuroClean | — | -0.4 pts |
| #12 Mr. Rooter | — | -0.4 pts |
| #13 ZOOM DRAIN | — | -0.4 pts |
| #14 Workout Anytime | — | -0.7 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 Jan-Pro InternationalModerately sensitive · tested #2–#4
#3 ActionCOACHHighly sensitive · tested #2–#6
#4 HomeSmilesModerately sensitive · tested #4–#7
#5 Tiger AdjustersHighly sensitive · tested #3–#8
#6 FASTSIGNSHighly sensitive · tested #3–#13
#7 Pillar To Post Home InspectorsHighly sensitive · tested #5–#12
#8 Rainbow International RestorationHighly sensitive · tested #5–#9
#9 Aire ServModerately sensitive · tested #6–#9
#10 Mister Sparky ElectricModerately sensitive · tested #8–#11
#11 PuroCleanModerately sensitive · tested #10–#13
#12 Mr. RooterModerately sensitive · tested #10–#12
#13 ZOOM DRAINHighly sensitive · tested #9–#13
#14 Workout AnytimeStable · tested #14–#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 | +0.4 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.1 |
| 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.
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, Jan-Pro International, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to territory quality. 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 ActionCOACH, Tiger Adjusters, FASTSIGNS; 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 environment50Mixed 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, 8 concepts changed position. HomeSmiles moved from #4 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted6 of 14
Average among affected+0.2 pts
Average across all concepts+0.1 pts
Concepts changing rank8
Concepts helped most
City WideFacility management
+0.4 pts
Jan-Pro InternationalCommercial cleaning
+0.3 pts
FASTSIGNSSigns and graphics
+0.2 pts
HomeSmilesProperty maintenance services
+0.2 pts
Rainbow International RestorationRestoration
+0.1 pts
Operating environment48Mixed or model dependent
Territory quality
We measured whether the territory structure could support the required customer density, service radius, and operating model.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. Workout Anytime moved from #14 to #8, the largest movement among concepts directly affected by this factor.
Concepts adjusted14 of 14
Average among affected-0.3 pts
Average across all concepts-0.3 pts
Concepts changing rank10
Concepts challenged most
Workout AnytimeFitness
-0.7 pts
FASTSIGNSSigns and graphics
-0.4 pts
ZOOM DRAINDrain and sewer service
-0.4 pts
Mr. RooterPlumbing
-0.4 pts
PuroCleanRestoration
-0.4 pts
Measured but not differentiating in this concept set
- Property replacement-cycle demandNo material score adjustment
- 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
- Referral ecosystemNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Fort Worth, Texas
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Limited two-concept comparison
69.7Best Restoration franchise opportunities we assessed in Fort Worth, Texas
2 Restoration concepts qualified for comparison, with scores ranging from 69.6 to 69.7. Rainbow International Restoration ranked highest at 69.7. Territory quality reduced the exposed concepts by 0.4 points on average.
Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 69.6–69.7
- Category average
- 69.7
Rainbow International Restoration69.7
PuroClean69.6
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.
#1Tier 3 · Mixed modeled alignment70.4
City Wide
Increase +0.4 pts Target-market demandReduction -0.1 pts Territory quality
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 | +0.4 |
| Property replacement-cycle demand | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.1 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 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 alignment70.1
Jan-Pro International
Increase +0.3 pts Target-market demandReduction -0.3 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.3 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.07 |
| Published local-market alignment | 70.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.3 pts
- Tested rank range
- #2–#4
Most important next check
How many productive stops per vehicle per day must Jan-Pro International complete for the proposed territory to work operationally?
#3Tier 3 · Mixed modeled alignment70.0
ActionCOACH
Increase +0.1 pts Target-market demandReduction -0.1 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.1 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.96 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.1 pts
- Tested rank range
- #2–#6
Most important next check
Which site- or service-specific local rules could change ActionCOACH's opening plan?
#4Tier 3 · Mixed modeled alignment69.8
HomeSmiles
Increase +0.2 pts Target-market demandReduction -0.3 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.3 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.82 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.3 pts
- Tested rank range
- #4–#7
Most important next check
Which ZIP codes and appointment density assumptions define HomeSmiles's practical service territory?
#5Tier 3 · Mixed modeled alignment69.8
Tiger Adjusters
No material positive local adjustment identifiedReduction -0.2 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.2 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.79 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.2 pts
- Tested rank range
- #3–#8
Most important next check
What daily vehicle utilization and travel-time allowance are built into Tiger Adjusters's operating plan?
#6Tier 3 · Mixed modeled alignment69.8
FASTSIGNS
Increase +0.2 pts Target-market demandReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.76 |
| 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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #3–#13
Most important next check
Which use, storage, ventilation, or permit requirements apply to FASTSIGNS's proposed production or service base?
#7Tier 3 · Mixed modeled alignment69.7
Pillar To Post Home Inspectors
No material positive local adjustment identifiedReduction -0.3 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.3 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.70 |
| Published local-market alignment | 69.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.3 pts
- Tested rank range
- #5–#12
Most important next check
Which building-age and condition issues are expected to increase the value or complexity of Pillar To Post Home Inspectors's inspections?
#8Tier 3 · Mixed modeled alignment69.7
Rainbow International Restoration
Increase +0.1 pts Target-market demandReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.70 |
| Published local-market alignment | 69.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #5–#9
Most important next check
Which building conditions and loss events are expected to create the most restoration demand for Rainbow International Restoration?
#9Tier 3 · Mixed modeled alignment69.7
Aire Serv
No material positive local adjustment identifiedReduction -0.3 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.3 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.66 |
| Published local-market alignment | 69.7 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.3 pts
- Tested rank range
- #6–#9
Most important next check
What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?
#10Tier 3 · Mixed modeled alignment69.6
Mister Sparky Electric
No material positive local adjustment identifiedReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.65 |
| Published local-market alignment | 69.6 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #8–#11
Most important next check
What daily vehicle utilization and travel-time allowance are built into Mister Sparky Electric's operating plan?
#11Tier 3 · Mixed modeled alignment69.6
PuroClean
No material positive local adjustment identifiedReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.63 |
| Published local-market alignment | 69.6 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #10–#13
Most important next check
Which building conditions and loss events are expected to create the most restoration demand for PuroClean?
#12Tier 3 · Mixed modeled alignment69.6
Mr. Rooter
No material positive local adjustment identifiedReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.61 |
| Published local-market alignment | 69.6 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #10–#12
Most important next check
How many field vehicles must Mr. Rooter deploy, and where would they begin and end each service day?
#13Tier 3 · Mixed modeled alignment69.6
ZOOM DRAIN
No material positive local adjustment identifiedReduction -0.4 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.4 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.60 |
| Published local-market alignment | 69.6 |
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
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.4 pts
- Tested rank range
- #9–#13
Most important next check
Where must ZOOM DRAIN stage crews and vehicles to protect after-hours response times across the proposed territory?
#14Tier 3 · Mixed modeled alignment69.3
Workout Anytime
No material positive local adjustment identifiedReduction -0.7 pts Territory quality
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 | Depends on the specific site, territory, or operating condition |
| 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 | Not included in the score |
| Referral ecosystem | Not included in the score |
| Territory quality | -0.7 |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.27 |
| Published local-market alignment | 69.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Strong
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Adequate
- Geographic applicability
- Limited
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Territory quality -0.7 pts
- Tested rank range
- #14–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
No franchise concepts match the selected filters.
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 | 1,028,117people | July 1, 2025 population estimate; 2020-2024 ACS household and housing measures | Fort Worth, Texas | Evidence for Target-market demand, Territory quality | [7] [8] |
| Fort Worth grew 11.9 percent from 2020 to 2025 and ranked 23rd in population density among the 30 most populous U.S. cities | population change 2020 2025 percent: 11.9; density rank among top 30 cities: 23mixed population metrics | U.S. Census Bureau Vintage 2025 population estimates summarized by the City | Fort Worth, Texas | Evidence for Target-market demand, Territory quality | [8] [7] |
| Fort Worth household count and owner-occupied housing rate, 2020-2024 | households: 342,126; owner occupied housing unit rate percent: 57mixed household metrics | July 1, 2025 population estimate; 2020-2024 ACS household and housing measures | Fort Worth, Texas | Evidence for Target-market demand, Property replacement-cycle demand, Territory quality | [7] |
| Tarrant County covered establishments, employment, and average weekly wage in fourth quarter 2025 | establishments thousands: 49.8; employment thousands: 1,029.8; average weekly wage usd: 1,493; employment change yoy percent: 0.2mixed business labor metrics | Fourth quarter 2025 | Tarrant County, Texas | Evidence for Target-market demand, Competitive environment, Labor and staffing friction, Sales and customer acquisition | [12] |
| Selected Dallas-Fort Worth major occupational-group mean hourly wages compared with U.S. averages in May 2024 | food preparation and serving dallas: 15.69; food preparation and serving us: 17.32; building and grounds dallas: 17.48; building and grounds us: 19.01; construction and extraction dallas: 26.49; construction and extraction us: 30.73; installation maintenance repair dallas: 28.97; installation maintenance repair us: 29.63; additional values omittedusd per hour and percent | May 2024 | Dallas-Fort Worth-Arlington, Texas MSA | Evidence for Labor and staffing friction | [9] |
| Private-industry compensation and wages-and-salaries changes in the Dallas-Fort Worth compensation locality for the year ending March 2026 | total compensation change percent: 2.3; wages and salaries change percent: 1.8; us total compensation change percent: 3.4; us wages and salaries change percent: 3.4percent change | 12 months ending March 2026 | Dallas-Fort Worth, TX-OK CSA compensation locality | Evidence for Labor and staffing friction | [10] |
| Fort Worth-Arlington-Grapevine total nonfarm employment in June 2026 and preliminary May 2026 unemployment rate | total nonfarm employment thousands june 2026: 1,224.7; total nonfarm yoy change percent june 2026: 1.3; unemployment rate percent may 2026 preliminary: 4mixed labor metrics | Labor force through May 2026; nonfarm employment through June 2026, preliminary where marked | Fort Worth-Arlington-Grapevine, Texas | Evidence for Target-market demand, Labor and staffing friction | [11] |
| City geographic descriptions document substantial clay soils in both southwest and north Fort Worth | southwest fort worth: shallow clay over dense calcareous limestone mixed with areas of dense black clay; north fort worth: largely shallow clay with dense plates of calcareous limestone beneathqualitative soil distribution | Current city geographic description accessed August 2026 | Southwest and North Fort Worth, Texas | Evidence for Property replacement-cycle demand, Territory quality | [14] [15] |
| Ponder soil series type location in Fort Worth has documented shrink-swell indicators | cole upper argillic horizon min: 0.08; cole upper argillic horizon max: 0.11; gilgai: weakly expressedcole and qualitative | Current Official Series Description accessed August 2026 | Fort Worth, Tarrant County, Texas | Evidence for Property replacement-cycle demand | [16] [17] |
| Fort Worth water and wastewater impact fees for selected commercial meter sizes under current and October 2026 schedules | current oct 2025 to sep 2026: 1 inch combined usd: 13,760, 1 5 inch combined usd: 27,520, 2 inch combined usd: 44,032; effective oct 1 2026: 1 inch combined usd: 14,570, 1 5 inch combined usd: 29,140, 2 inch combined usd: 46,624; card service fee percent for certain development and permitting services: 2.5usd and percent | Rates adopted June 10, 2025; schedules effective October 1, 2025 and October 1, 2026 | Qualifying Fort Worth development within the water/wastewater impact-fee framework | Evidence for Regulatory and operating friction, Real estate and site feasibility | [18] [19] |
| Current Fort Worth impact-fee schedule is gated by plat date, building-permit date, and meter size | plat recorded on or after: 2017-04-01; current schedule building permit on or after: 2025-10-01; next schedule building permit on or after: 2026-10-01; fee basis: water meter size and equivalency factorregulatory conditions | Current schedule October 1, 2025-September 30, 2026; next schedule effective October 1, 2026 | Qualifying Fort Worth development | Evidence for Regulatory and operating friction, Real estate and site feasibility | [19] |
| Exterior alterations in Fort Worth urban design districts require Certificate of Appropriateness review, including covered signage and awning work | certificate required for exterior alterations: yes; covered examples: permanent signs, banners, window signs, temporary signs, awnings, canopiescategorical requirement | Current rules accessed August 2026 | Fort Worth urban design districts and overlays | Evidence for Regulatory and operating friction, Real estate and site feasibility | [20] |
| Exterior changes to designated historic properties require a Certificate of Appropriateness before permits or construction | yesboolean requirement | Current rules accessed August 2026 | Designated historic properties and districts in Fort Worth | Evidence for Regulatory and operating friction, Real estate and site feasibility | [21] |
| Fort Worth commercial loading zones are restricted to clearly marked commercial delivery vehicles; non-commercial delivery vehicles require a permit | six month permit usd: 75; annual permit usd: 150; one vehicle per permit: yes; insurance certificate required: yes; permit trigger: non-commercial vehicle used for deliveries in a commercial loading zonerule and fee | Current rules and fees accessed August 2026 | Fort Worth commercial loading zones | Evidence for Transportation, routing, and parking, Regulatory and operating friction | [22] |
| Fort Worth listed multiple roadway restrictions active on August 7, 2026 with end dates extending into late 2026 or 2027 | road: Camp Bowie Boulevard, limits: Irene Dr to Floyd Dr, start: 2026-07-27, end: 2026-10-01, type: Various, road: Alton Road, limits: W Biddison to South Hills Ave, start: 2026-03-31, end: 2027-03-01, type: Full, road: Commerce Street, limits: 4th St to 5th St, start: 2026-06-23, end: 2026-09-30, type: Sidewalk and Lane, road: W. 7th Street, limits: University Dr to Norwood St, start: 2025-02-11, end: 2027-03-31, type: Various, road: N. Main Street, limits: NW 28th St to NW 14th St, start: 2026-07-21, end: 2026-12-25, type: Variousactive roadway restrictions | Active and scheduled roadway restrictions displayed August 7, 2026 | Fort Worth, Texas | Evidence for Transportation, routing, and parking, Territory quality | [23] |
| Dallas-Fort Worth industrial conditions in Q2 2026 | overall vacancy percent: 8.1; asking rent net usd per sf: 9.19; quarterly leasing million sf: 20.5; alliance ytd net absorption million sf: 3.9; south fort worth ytd net absorption million sf: 1.8; only size segment above 10 percent vacancy: 150,000-499,999 sfmixed cre metrics | Second quarter 2026 | Dallas-Fort Worth industrial market with Fort Worth submarket detail | Evidence for Real estate and site feasibility, Target-market demand, Territory quality | [24] |
| AllianceTexas developer-reported scale in north Fort Worth region | development acres: 27,000; companies minimum: 600; direct jobs minimum: 73,000mixed development metrics | Current development profile accessed August 2026 | AllianceTexas, north Fort Worth region | Evidence for Target-market demand, Territory quality, Labor and staffing friction | [25] |
| AllianceTexas developer markets office and flex-space solutions and a current availability portal | office and flex solutions marketed: yes; availability portal offered: yescategorical | Current availability marketing accessed August 2026 | AllianceTexas, north Fort Worth region | Evidence for Real estate and site feasibility, Territory quality | [26] |
| Near Southside reports approximately 30,000 jobs in Tarrant County’s second-largest employment center and five major hospitals in the Medical District | jobs approximate: 30,000; major hospitals: 5; employment center rank in tarrant county: 2mixed institutional metrics | Current neighborhood organization profile accessed August 2026 | Near Southside / Medical District, Fort Worth | Evidence for Target-market demand, Referral ecosystem, Territory quality | [27] |
| Fort Worth TIF 4 Southside / Medical District scale and 2024 taxable value | acres: 1,278; base value usd: 229,759,626; taxable value 2024 usd: 1,658,917,576; reported percent growth: 669mixed district metrics | 2024 taxable values and current TIF descriptions accessed August 2026 | TIF 4 Southside / Medical District, Fort Worth | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [28] |
| City of Fort Worth supplier participation requires PeopleSoft registration and uses Bonfire for procurements posted on or after January 1, 2024 | peoplesoft supplier registration required: yes; bonfire for procurements posted on or after: 2024-01-01; sbe bid preference percent up to 100k: 5; sbe utilization target percent over 100k: 30procurement conditions | Current procurement registration process accessed August 2026 | City of Fort Worth | Evidence for Sales and customer acquisition, Referral ecosystem, Target-market demand | [29] [30] |
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 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.
- 1Franchise-to-city operating-fit model definitionInternal or supplied research; not publicly accessible.
- 2Valid city JSON exampleInternal or supplied research; not publicly accessible.
- 3Compiler-ready city research JSON instructionsInternal or supplied research; not publicly accessible.
- 4Supplied multi-city structural franchise research docketInternal or supplied research; not publicly accessible.
- 5Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
- 6Franchise data - remake - Combine2 neighborhood research tableInternal or supplied research; not publicly accessible.
- 7QuickFacts: Fort Worth city, Texas
Used for: Resident population estimate on July 1, 2025, Fort Worth grew 11.9 percent from 2020 to 2025 and ranked 23rd in population density among the 30 most populous U.S. cities, and Fort Worth household count and owner-occupied housing rate, 2020-2024
- 8Population
Used for: Resident population estimate on July 1, 2025 and Fort Worth grew 11.9 percent from 2020 to 2025 and ranked 23rd in population density among the 30 most populous U.S. cities
- 9Occupational Employment and Wages in Dallas-Fort Worth-Arlington — May 2024
Used for: Selected Dallas-Fort Worth major occupational-group mean hourly wages compared with U.S. averages in May 2024
- 10Changing Compensation Costs in the Dallas Metropolitan Area — March 2026
Used for: Private-industry compensation and wages-and-salaries changes in the Dallas-Fort Worth compensation locality for the year ending March 2026
- 11Fort Worth-Arlington, TX Economy at a Glance
Used for: Fort Worth-Arlington-Grapevine total nonfarm employment in June 2026 and preliminary May 2026 unemployment rate
- 12County Employment and Wages in Texas — Fourth Quarter 2025
Used for: Tarrant County covered establishments, employment, and average weekly wage in fourth quarter 2025
- 13
- 14Southwest Fort Worth
Used for: City geographic descriptions document substantial clay soils in both southwest and north Fort Worth
- 15North Fort Worth
Used for: City geographic descriptions document substantial clay soils in both southwest and north Fort Worth
- 16Official Series Description — Ponder Series
Used for: Ponder soil series type location in Fort Worth has documented shrink-swell indicators
- 17Geotechnical Manual: Interpretation of Soil Data — Disregard Depth
Used for: Ponder soil series type location in Fort Worth has documented shrink-swell indicators
- 18Water and Wastewater Impact Fees
Used for: Fort Worth water and wastewater impact fees for selected commercial meter sizes under current and October 2026 schedules
- 19Current Impact Fees
Used for: Fort Worth water and wastewater impact fees for selected commercial meter sizes under current and October 2026 schedules and Current Fort Worth impact-fee schedule is gated by plat date, building-permit date, and meter size
- 20Urban Design Districts and Overlays
Used for: Exterior alterations in Fort Worth urban design districts require Certificate of Appropriateness review, including covered signage and awning work
- 21Historic Preservation
Used for: Exterior changes to designated historic properties require a Certificate of Appropriateness before permits or construction
- 22Commercial Loading Zone Permits
Used for: Fort Worth commercial loading zones are restricted to clearly marked commercial delivery vehicles; non-commercial delivery vehicles require a permit
- 23Road Closures
Used for: Fort Worth listed multiple roadway restrictions active on August 7, 2026 with end dates extending into late 2026 or 2027
- 24Dallas/Fort Worth Industrial MarketBeat — Q2 2026
Used for: Dallas-Fort Worth industrial conditions in Q2 2026
- 25Industrial | AllianceTexas | Fort Worth, TX
Used for: AllianceTexas developer-reported scale in north Fort Worth region
- 26Office | AllianceTexas | Fort Worth, TX
Used for: AllianceTexas developer markets office and flex-space solutions and a current availability portal
- 27Near Southside, Inc. — Near Southside Today
Used for: Near Southside reports approximately 30,000 jobs in Tarrant County’s second-largest employment center and five major hospitals in the Medical District
- 28Tax Increment Financing Districts (TIFs)
Used for: Fort Worth TIF 4 Southside / Medical District scale and 2024 taxable value
- 29City of Fort Worth Supplier Information
Used for: City of Fort Worth supplier participation requires PeopleSoft registration and uses Bonfire for procurements posted on or after January 1, 2024
- 30Small Business Enterprise Certification (SBE)
Used for: City of Fort Worth supplier participation requires PeopleSoft registration and uses Bonfire for procurements posted on or after January 1, 2024
Before contacting a franchisor
Complete the next layer of due diligence
- Confirm the exact protected territory and neighboring units.
- Review the current Franchise Disclosure Document.
- Validate local staffing, licensing, insurance, and service-base assumptions.
- Obtain location, vehicle, buildout, or working-capital estimates.
- Speak with current and former franchisees.
- Build a candidate-specific financial scenario.
Apply the analysis to your situation
Review how these market findings apply to your budget, role, and proposed territory.
The city score does not include your experience, capital structure, time commitment, financing, or exact territory.
Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.