Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in Houston, Texas

We ranked 14 franchise concepts for Houston, 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.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking See the local evidence

14Concepts evaluated

21Sources used

15Primary sources

30Local 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

69.3 average across 2 concepts

Largest positive factorTarget-market demand

0.8 points average among 13 affected concepts

Largest negative factorTerritory quality

0.6 points average reduction among 14 affected concepts

Most assumption-sensitive rankTiger Adjusters

Tested rank range spans 8 positions

Executive conclusion

What the ranking means for Houston, Texas

Our Houston, 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, HomeSmiles, and Pillar To Post Home Inspectors produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 13 concepts and added 0.8 points on average among them. Territory quality was the broadest negative pressure, reducing the 14 exposed concepts by 0.6 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	71.6Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
2	HomeSmilesProperty maintenance services	71.1Tier 3 · Mixed modeled alignment	+1.5 ptsTarget-market demand	-0.6 ptsTerritory quality	Moderate evidence confidence
3	Pillar To Post Home InspectorsHome inspection	71.0Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-0.6 ptsTerritory quality	Moderate evidence confidence
4	ActionCOACHBusiness coaching	70.5Tier 3 · Mixed modeled alignment	+0.6 ptsReferral ecosystem	-0.2 ptsTerritory quality	Moderate evidence confidence
5	Aire ServHVAC installation, repair, and maintenance	70.5Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-0.9 ptsTransportation, routing, and parking	Moderate evidence confidence
6	Mister Sparky ElectricElectrical	70.2Tier 3 · Mixed modeled alignment	+0.9 ptsTarget-market demand	-0.7 ptsTransportation, routing, and parking	Moderate evidence confidence
7	Jan-Pro InternationalCommercial cleaning	70.1Tier 3 · Mixed modeled alignment	+0.7 ptsTarget-market demand	-0.5 ptsTerritory quality	Moderate evidence confidence
8	Mr. RooterPlumbing	70.1Tier 3 · Mixed modeled alignment	+1.0 ptsTarget-market demand	-1.0 ptsTransportation, routing, and parking	Moderate evidence confidence
9	Tiger AdjustersPublic insurance adjusting	70.1Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	-0.4 ptsTerritory quality	Moderate evidence confidence
10	ZOOM DRAINDrain and sewer service	70.0Tier 3 · Mixed modeled alignment	+0.8 ptsTarget-market demand	-1.1 ptsTransportation, routing, and parking	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: ^[3] ^[5] ^[6] ^[4] ^[18] ^[21] ^[1]Property replacement-cycle demand: ^[4] ^[9] ^[10] ^[5] ^[6] ^[1]Competitive environment: ^[21] ^[16] ^[17] ^[1]Labor and staffing friction: ^[7] ^[8] ^[1]Transportation, routing, and parking: ^[11] ^[3] ^[14] ^[15] ^[20] ^[9] ^[1]Real estate and site feasibility: ^[16] ^[17] ^[12] ^[13] ^[20] ^[2] ^[1]Sales and customer acquisition: ^[3] ^[21] ^[18] ^[1]Referral ecosystem: ^[18] ^[21]Territory quality: ^[3] ^[16] ^[17] ^[18] ^[14] ^[15] ^[9] ^[10]Regulatory and operating friction: ^[12] ^[13] ^[19] ^[20] ^[10] ^[2]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Transportation, routing, and parking	Referral ecosystem	Territory quality
#1 City Wide	+1.0 pts	—	-0.1 pts	+0.7 pts	-0.1 pts
#2 HomeSmiles	+1.5 pts	—	-0.3 pts	+0.5 pts	-0.6 pts
#3 Pillar To Post Home Inspectors	+1.3 pts	+0.3 pts	-0.5 pts	+0.4 pts	-0.6 pts
#4 ActionCOACH	+0.1 pts	—	—	+0.6 pts	-0.2 pts
#5 Aire Serv	+1.0 pts	+0.9 pts	-0.9 pts	—	-0.6 pts
#6 Mister Sparky Electric	+0.9 pts	+0.6 pts	-0.7 pts	+0.1 pts	-0.6 pts
#7 Jan-Pro International	+0.7 pts	—	-0.4 pts	+0.2 pts	-0.5 pts
#8 Mr. Rooter	+1.0 pts	+0.7 pts	-1.0 pts	+0.2 pts	-0.7 pts
#9 Tiger Adjusters	+0.3 pts	—	-0.3 pts	+0.4 pts	-0.4 pts
#10 ZOOM DRAIN	+0.8 pts	+0.7 pts	-1.1 pts	+0.4 pts	-0.7 pts
#11 FASTSIGNS	+0.4 pts	—	-0.4 pts	+0.3 pts	-0.8 pts
#12 Rainbow International Restoration	+0.1 pts	+0.2 pts	-0.8 pts	+0.5 pts	-0.7 pts
#13 Workout Anytime	+0.7 pts	—	-0.1 pts	—	-1.3 pts
#14 PuroClean	—	+0.2 pts	-0.9 pts	+0.5 pts	-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–#2

#2 HomeSmilesHighly sensitive · tested #1–#5

#3 Pillar To Post Home InspectorsModerately sensitive · tested #2–#4

#4 ActionCOACHHighly sensitive · tested #2–#8

#5 Aire ServHighly sensitive · tested #4–#9

#6 Mister Sparky ElectricModerately sensitive · tested #5–#8

#7 Jan-Pro InternationalHighly sensitive · tested #5–#10

#8 Mr. RooterHighly sensitive · tested #6–#13

#9 Tiger AdjustersHighly sensitive · tested #3–#11

#10 ZOOM DRAINHighly sensitive · tested #5–#11

#11 FASTSIGNSHighly sensitive · tested #8–#13

#12 Rainbow International RestorationHighly sensitive · tested #9–#13

#13 Workout AnytimeHighly sensitive · tested #9–#14

#14 PuroCleanModerately 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	+1.0
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.7
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.59
Published local-market alignment	71.6

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, HomeSmiles, Pillar To Post Home Inspectors 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 HomeSmiles, ActionCOACH, Aire Serv; 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 environment54Positive local support

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 13 of 14 concepts. When we neutralized the factor and recalculated the table, 12 concepts changed position. Tiger Adjusters moved from #9 to #3, the largest movement among concepts directly affected by this factor.

Concepts adjusted13 of 14

Average among affected+0.8 pts

Average across all concepts+0.7 pts

Concepts changing rank12

Concepts helped most

HomeSmilesProperty maintenance services

+1.5 pts

Pillar To Post Home InspectorsHome inspection

+1.3 pts

City WideFacility management

+1.0 pts

Aire ServHVAC installation, repair, and maintenance

+1.0 pts

Mr. RooterPlumbing

+1.0 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Labor and staffing frictionNo material score adjustment
Real estate and site feasibilityNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in Houston, Texas

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

2 Restoration concepts qualified for comparison, with scores ranging from 69.1 to 69.4. Rainbow International Restoration ranked highest at 69.4. Referral ecosystem added 0.5 points on average among the affected concepts. Transportation, routing, and parking reduced the exposed concepts by 0.8 points on average.

Interpret cautiously: A 0.3-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared: 2
Score range: 69.1–69.4
Category average: 69.3

Rainbow International Restoration69.4

PuroClean69.1

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 alignment71.6

City Wide

Facility management · B2B facility management and vendor coordination

Increase +1.0 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	+1.0
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.7
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.59
Published local-market alignment	71.6

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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.0 pts
Tested rank range: #1–#2

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 alignment71.1

HomeSmiles

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

Increase +1.5 pts Target-market demandReduction -0.6 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	+1.5
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.3
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.08
Published local-market alignment	71.1

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

Largest absolute effect: Target-market demand +1.5 pts
Tested rank range: #1–#5

Most important next check

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

#3Tier 3 · Mixed modeled alignment71.0

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +1.3 pts Target-market demandReduction -0.6 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	+1.3
Property replacement-cycle demand	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.5
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.97
Published local-market alignment	71.0

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.3 pts
Tested rank range: #2–#4

Most important next check

Which transaction segments and property types are expected to generate the most inspection demand for Pillar To Post Home Inspectors?

#4Tier 3 · Mixed modeled alignment70.5

ActionCOACH

Business coaching · home-based B2B advisory

Increase +0.6 pts Referral ecosystemReduction -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	+0.1
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	Effect below the publication threshold
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	-0.2
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.50
Published local-market alignment	70.5

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

Evidence confidence

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

Largest absolute effect: Referral ecosystem +0.6 pts
Tested rank range: #2–#8

Most important next check

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

#5Tier 3 · Mixed modeled alignment70.5

Aire Serv

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

Increase +1.0 pts Target-market demandReduction -0.9 pts Transportation, routing, and parking

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	+0.9
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.9
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.47
Published local-market alignment	70.5

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.0 pts
Tested rank range: #4–#9

Most important next check

How much of Aire Serv's local opportunity is expected from repair, replacement, maintenance, and efficiency upgrades?

#6Tier 3 · Mixed modeled alignment70.2

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.9 pts Target-market demandReduction -0.7 pts Transportation, routing, and parking

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	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.7
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	-0.6
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.21
Published local-market alignment	70.2

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #5–#8

Most important next check

Which repair, replacement, and retrofit services are expected to generate the strongest local demand for Mister Sparky Electric?

#7Tier 3 · Mixed modeled alignment70.1

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +0.7 pts Target-market demandReduction -0.5 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	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.4
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.10
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +0.7 pts
Tested rank range: #5–#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?

#8Tier 3 · Mixed modeled alignment70.1

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +1.0 pts Target-market demandReduction -1.0 pts Transportation, routing, and parking

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	+0.7
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-1.0
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	-0.7
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.08
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -1.0 pts
Tested rank range: #6–#13

Most important next check

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

#9Tier 3 · Mixed modeled alignment70.1

Tiger Adjusters

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

Increase +0.4 pts Referral ecosystemReduction -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	+0.3
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.3
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.05
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: Adequate
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.4 pts
Tested rank range: #3–#11

Most important next check

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

#10Tier 3 · Mixed modeled alignment70.0

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.8 pts Target-market demandReduction -1.1 pts Transportation, routing, and parking

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	+0.8
Property replacement-cycle demand	+0.7
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-1.1
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	-0.7
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.04
Published local-market alignment	70.0

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

Evidence confidence

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

Largest absolute effect: Transportation, routing, and parking -1.1 pts
Tested rank range: #5–#11

Most important next check

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

#11Tier 3 · Mixed modeled alignment69.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +0.4 pts Target-market demandReduction -0.8 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	+0.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.4
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.3
Territory quality	-0.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.58
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -0.8 pts
Tested rank range: #8–#13

Most important next check

What small-bay or production-space specifications does FASTSIGNS require, and which submarkets currently satisfy them?

#12Tier 3 · Mixed modeled alignment69.4

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.8 pts Transportation, routing, and parking

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	Not included in the score
Transportation, routing, and parking	-0.8
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	-0.7
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.40
Published local-market alignment	69.4

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

Evidence confidence

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

Largest absolute effect: Transportation, routing, and parking -0.8 pts
Tested rank range: #9–#13

Most important next check

Which building conditions and loss events are expected to create the most restoration demand for Rainbow International Restoration?

#13Tier 3 · Mixed modeled alignment69.3

Workout Anytime

Fitness · fixed-location membership fitness

Increase +0.7 pts Target-market demandReduction -1.3 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	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.1
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	-1.3
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.26
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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Territory quality -1.3 pts
Tested rank range: #9–#14

Most important next check

What site size, occupancy-cost ceiling, parking supply, and buildout budget must a Workout Anytime location satisfy?

#14Tier 3 · Mixed modeled alignment69.1

PuroClean

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.9 pts Transportation, routing, and parking

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Not included in the score
Transportation, routing, and parking	-0.9
Real estate and site feasibility	Depends on the specific site, territory, or operating condition
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	-0.7
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.14
Published local-market alignment	69.1

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: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Transportation, routing, and parking -0.9 pts
Tested rank range: #12–#14

Most important next check

Which building conditions and loss events are expected to create the most restoration demand for PuroClean?

Metric registry

The 30 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	2,397,315people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area	Houston, Texas	Evidence for Target-market demand, Territory quality	^[3]
Population change from the April 2020 estimate base to July 2025	4.2percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area	Houston, Texas	Evidence for Target-market demand	^[3]
Households in the 2020-2024 estimate period	930,404households	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area	Houston, Texas	Evidence for Target-market demand, Territory quality	^[3]
Owner-occupied housing-unit rate	42.1percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area	Houston, Texas	Evidence for Target-market demand, Property replacement-cycle demand	^[3]
Land area in 2020	640.44square miles	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area	Houston, Texas	Evidence for Transportation, routing, and parking, Territory quality	^[3]
New single-family dwellings in the 2024 municipal permit workbook	6,128dwelling units	Calendar year 2024	City of Houston permit records	Evidence for Target-market demand, Property replacement-cycle demand	^[5]
Apartment dwellings in the 2024 municipal multi-family permit workbook	3,563dwelling units	Calendar year 2024	City of Houston permit records	Evidence for Target-market demand, Territory quality	^[6]
Duplex dwellings in the 2024 municipal multi-family permit workbook	1,142dwelling units	Calendar year 2024	City of Houston permit records	Evidence for Target-market demand, Territory quality	^[6]
Housing units built from 1980 through 2009	376,667housing units	2020-2024 American Community Survey 5-year estimate released January 2026	Houston, Texas housing stock	Evidence for Property replacement-cycle demand	^[4]
Share of housing units built from 1980 through 2009	36.2percent of housing units	2020-2024 American Community Survey 5-year estimate released January 2026	Houston, Texas housing stock	Evidence for Property replacement-cycle demand	^[4]
Share of housing units built before 1980	46.96percent of housing units	2020-2024 American Community Survey 5-year estimate released January 2026	Houston, Texas housing stock	Evidence for Property replacement-cycle demand	^[4]
Groundwater withdrawal and fine-grained sediment compaction cause regional land subsidence	Groundwater withdrawal compresses silts and clays in the Houston-Galveston aquifer system; most resulting compaction is irreversible.text	Active monitoring program; structural mechanism and continuing regional measurements	Houston-Galveston region	Evidence for Property replacement-cycle demand, Territory quality	^[9]
Documented consequences of regional land subsidence	altered creek and bayou flow that may increase flooding frequency or severity, damage to roadways and bridges, damage to building foundations and other infrastructuredocumented effects	Active monitoring program; structural mechanism and continuing regional measurements	Houston-Galveston region	Evidence for Property replacement-cycle demand, Transportation, routing, and parking, Territory quality	^[9]
Countywide flood-resilience and flood-damage-reduction program areas	floodplain preservation and right-of-way acquisition, ongoing countywide planning, stormwater conveyance studies and capital projects, flood-warning system upgrades and expansion, interactive flood mapping and development coordinationprogram areas	Current plan and program listings accessed July 2026	Harris County, Texas	Evidence for Property replacement-cycle demand, Territory quality, Regulatory and operating friction	^[10]
Construction and extraction employment and concentration	employment: 175,890; local employment share percent: 5.4; national employment share percent: 4.1; location quotient: 1.31mixed	May 2024	Houston-Pasadena-The Woodlands, Texas	Evidence for Labor and staffing friction	^[7]
Construction and extraction mean hourly wage	houston mean hourly wage: 26.62; united states mean hourly wage: 30.73usd per hour	May 2024	Houston metropolitan area and United States	Evidence for Labor and staffing friction	^[7]
Installation, maintenance, and repair employment share and mean hourly wage	local employment share percent: 4.6; national employment share percent: 3.9; houston mean hourly wage: 29.63; united states mean hourly wage: 29.63mixed	May 2024	Houston metropolitan area and United States	Evidence for Labor and staffing friction	^[7]
Oil-and-gas field occupation concentration	derrick operators oil and gas location quotient: 6.69; rotary drill operators oil and gas location quotient: 6.02; service unit operators oil and gas location quotient: 6.18; roustabouts oil and gas location quotient: 5.97location quotient	May 2024	Houston-Pasadena-The Woodlands, Texas	Evidence for Labor and staffing friction	^[7]
Metropolitan unemployment rate in May 2026	4.6percent	January-June 2026; May and June values identified as preliminary where applicable	Houston-Pasadena-The Woodlands, Texas	Evidence for Labor and staffing friction	^[8]
Metropolitan construction employment and 12-month change in June 2026	employment thousands: 269.5; twelve month change percent: 5.9mixed	January-June 2026; May and June values identified as preliminary where applicable	Houston-Pasadena-The Woodlands, Texas	Evidence for Labor and staffing friction	^[8]
Annual delay per auto commuter and Travel Time Index	annual person hours of delay per auto commuter: 77; travel time index: 1.36; reference year: 2,024mixed	Calendar year 2024 congestion statistics	Houston urban area	Evidence for Transportation, routing, and parking	^[11]
Houston industrial market fundamentals in Q2 2026	vacancy rate percent: 6.7; quarterly net absorption sqft: 7,000,000; under construction sqft: 17,700,000; quarterly leasing activity sqft: 9,000,000mixed	Second quarter 2026	Houston industrial market	Evidence for Real estate and site feasibility, Territory quality	^[16]
Industrial-market vacancy, asking rent, sublease availability, and leasing concentration in Q1 2026	overall vacancy rate percent: 7.5; average asking rent usd per sqft: 10.04; sublease availability sqft: 6,200,000; southwest share of leasing percent: 28.3; southeast share of leasing percent: 23.5mixed	First quarter 2026	Houston industrial market and submarkets	Evidence for Real estate and site feasibility, Territory quality	^[17]
Texas Medical Center institutional concentration	medicine related institutions: 50; hospitals: 21; campus area square miles: 2.1; employer description: collectively described as the largest employer in Houstonmixed	Current institutional description accessed July 2026	Texas Medical Center campus, Houston	Evidence for Target-market demand, Referral ecosystem, Territory quality	^[18]
NHHIP Segment 3B-1 construction window and scope	construction start: 2024-10; anticipated completion year: 2,027; scope: St. Emanuel Street drainage outfall, box culverts, detention, and street reconstructionproject schedule	Official package scope and construction windows accessed July 2026	St	Evidence for Transportation, routing, and parking, Territory quality	^[14] ^[15]
NHHIP Segment 3B-2 construction window and scope	construction start: 2025-01; anticipated completion year: 2,030; scope: I-69 mainlane and I-69/SH 288 interchange reconstruction, direct connectors, and cross-street bridgesproject schedule	Official package scope and construction windows accessed July 2026	I-69 between SH 288 and I-45 South, Downtown Houston and Third Ward edge	Evidence for Transportation, routing, and parking, Territory quality	^[14] ^[15]
Non-residential drainage utility rate	0.032usd per impervious square foot	Current rates effective January 1 through July 1, 2026, depending on fee	City of Houston non-residential property	Evidence for Real estate and site feasibility, Regulatory and operating friction	^[12]
Drainage impact fee for increased impervious surface in covered service areas	25.56usd per service unit	Current rates effective January 1 through July 1, 2026, depending on fee	Applicable City of Houston drainage impact-fee service areas	Evidence for Real estate and site feasibility, Regulatory and operating friction	^[12] ^[13]
On-premises commercial sign limits and installation requirements	maximum signs per business: 5; maximum ground or projecting signs total: 2; maximum wall signs: 4; licensed sign contractor generally required: yes; owner installation limits: A business owner may install qualifying non-electrical signs under limited size and height conditions.; engineered drawings threshold: A wall sign higher than 8 feet above grade or larger than 60 square feet requires sealed engineered drawings and analysis under the construction code in effect when the application is made.; minimum operating fee usd: 69.46; minimum construction fee usd: 97.25; additional values omittedregulatory requirements	Current permit requirements and 2026 fees accessed July 2026	City of Houston; on-premises signs visible from public rights-of-way	Evidence for Regulatory and operating friction	^[19] ^[12]
Off-street parking and loading requirements for development and redevelopment	New development and redevelopment must provide off-street parking and loading according to use classifications, subject to administrative modification, special parking area, or variance processes where applicable.text	Current ordinance guidance accessed July 2026	Houston, Texas	Evidence for Real estate and site feasibility, Transportation, routing, and parking, Regulatory and operating friction	^[20]

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 5, 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 4, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.

Corrections policy

Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.

Source registry

Evidence represented in this report

Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.

1
Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Mixed source periods cited in the supplied docket; Houston section reviewed July 2026
Scope
Houston section within a ten-market research docket
Locator
Houston, Texas section, pages 9-11 of parsed document
Source tier
Tier 5 · supplied bespoke research
Accessed
July 30, 2026
2
Structural Constraints and Hidden Municipal Costs: A Forensic Audit of Ten U.S. JurisdictionsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Mixed source periods cited in the supplied docket; Houston section reviewed July 2026
Scope
Houston section within a ten-jurisdiction research docket
Locator
Houston, Texas section, subsections A-F, pages 11-12 of parsed document
Source tier
Tier 5 · supplied bespoke research
Accessed
July 30, 2026
3
QuickFacts: Houston city, Texas
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 estimate period, Owner-occupied housing-unit rate, and Land area in 2020
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land area
Scope
Houston city, Texas
Locator
Population, housing, household, commute, and geography table rows
Source tier
Tier 1 · government
Accessed
July 30, 2026
4
Council District Demographics 2024: Year Structure Built
Used for: Housing units built from 1980 through 2009, Share of housing units built from 1980 through 2009, and Share of housing units built before 1980
Publisher
City of Houston Planning and Development Department
Data period
2020-2024 American Community Survey 5-year estimate released January 2026
Scope
City of Houston and council districts
Locator
City of Houston row in estimate and percentage tables
Source tier
Tier 1 · government
Accessed
July 30, 2026
5
Single Family Permits 2024
Used for: New single-family dwellings in the 2024 municipal permit workbook
Publisher
City of Houston Planning and Development Department
Data period
Calendar year 2024
Scope
City of Houston permit records
Locator
SF_2024 worksheet; FCC_CODE_DESC and DWELLINGS_CNT fields
Source tier
Tier 1 · government
Accessed
July 30, 2026
6
Multi-Family Permits 2024
Used for: Apartment dwellings in the 2024 municipal multi-family permit workbook and Duplex dwellings in the 2024 municipal multi-family permit workbook
Publisher
City of Houston Planning and Development Department
Data period
Calendar year 2024
Scope
City of Houston permit records
Locator
MF_2024 worksheet; FCC_CODE_DESC and DWELLINGS_CNT fields
Source tier
Tier 1 · government
Accessed
July 30, 2026
7
Occupational Employment and Wages in Houston-Pasadena-The Woodlands — May 2024
Used for: Construction and extraction employment and concentration, Construction and extraction mean hourly wage, Installation, maintenance, and repair employment share and mean hourly wage, and Oil-and-gas field occupation concentration
Publisher
U.S. Bureau of Labor Statistics
Published
June 17, 2025
Data period
May 2024
Scope
Houston-Pasadena-The Woodlands metropolitan statistical area
Locator
Major occupational group table and construction/extraction detailed occupation table
Source tier
Tier 1 · government
Accessed
July 30, 2026
8
Houston-Pasadena-The Woodlands, TX Economy at a Glance
Used for: Metropolitan unemployment rate in May 2026 and Metropolitan construction employment and 12-month change in June 2026
Publisher
U.S. Bureau of Labor Statistics
Published
July 17, 2026
Data period
January-June 2026; May and June values identified as preliminary where applicable
Scope
Houston-Pasadena-The Woodlands metropolitan statistical area
Locator
Labor force and nonfarm employment series
Source tier
Tier 1 · government
Accessed
July 30, 2026
9
Houston Area Groundwater Level and Subsidence Monitoring
Used for: Groundwater withdrawal and fine-grained sediment compaction cause regional land subsidence and Documented consequences of regional land subsidence
Publisher
U.S. Geological Survey
Published
May 29, 2018
Data period
Active monitoring program; structural mechanism and continuing regional measurements
Scope
Houston-Galveston region
Locator
Program description, subsidence mechanism, irreversibility, and consequence list
Source tier
Tier 1 · government
Accessed
July 30, 2026
10
Harris County Flood Resilience Plan
Used for: Countywide flood-resilience and flood-damage-reduction program areas
Publisher
Harris County Flood Control District
Data period
Current plan and program listings accessed July 2026
Scope
Harris County
Locator
Countywide floodplain preservation, planning, conveyance, warning, mapping, and capital-program sections
Source tier
Tier 1 · government
Accessed
July 30, 2026
11
2025 Urban Mobility Report
Used for: Annual delay per auto commuter and Travel Time Index
Publisher
Texas A&M Transportation Institute
Published
October 22, 2025
Data period
Calendar year 2024 congestion statistics
Scope
Houston urban area and other U.S. urban areas
Locator
Comparison Table 1, annual delay per commuter and Travel Time Index
Source tier
Tier 2 · recognized institutional research
Accessed
July 30, 2026
12
City-Wide Fee Schedule
Used for: Non-residential drainage utility rate, Drainage impact fee for increased impervious surface in covered service areas, and On-premises commercial sign limits and installation requirements
Publisher
City of Houston
Data period
Current rates effective January 1 through July 1, 2026, depending on fee
Scope
City of Houston
Locator
Drainage Rates, Drainage Impact Fees, and sign-fee rows
Source tier
Tier 1 · government
Accessed
July 30, 2026
13
Developer Impact Fee
Used for: Drainage impact fee for increased impervious surface in covered service areas
Publisher
ReBuild Houston, City of Houston
Data period
Current applicability guidance accessed July 2026; displayed dollar rates are older than the 2026 fee schedule
Scope
Defined City of Houston drainage service areas
Locator
Applicability, one-time charge, service-unit definition, redevelopment treatment, and building-permit collection point
Source tier
Tier 1 · government
Accessed
July 30, 2026
14
Segment 3B - Initial Projects in Detail Design
Used for: NHHIP Segment 3B-1 construction window and scope and NHHIP Segment 3B-2 construction window and scope
Publisher
Texas Department of Transportation
Data period
Official package scope and construction windows accessed July 2026
Scope
Downtown Houston I-69, SH 288, I-45, St. Emanuel Street, and Buffalo Bayou project areas
Locator
Package 1 and Package 2 scope, start, and completion sections
Source tier
Tier 1 · government
Accessed
July 30, 2026
15
NHHIP Construction Updates
Used for: NHHIP Segment 3B-1 construction window and scope and NHHIP Segment 3B-2 construction window and scope
Publisher
Texas Department of Transportation
Data period
Active project updates accessed July 2026
Scope
NHHIP Segment 3B-1 and 3B-2 work zones in Houston
Locator
Segment 3B-1 and 3B-2 status, project limits, traffic maps, detours, and active-work notices
Source tier
Tier 1 · government
Accessed
July 30, 2026
16
Houston Industrial Figures - Q2 2026
Used for: Houston industrial market fundamentals in Q2 2026
Publisher
CBRE
Published
July 8, 2026
Data period
Second quarter 2026
Scope
Houston industrial market and submarkets
Locator
Vacancy, absorption, deliveries, construction pipeline, leasing, and submarket summary
Source tier
Tier 3 · credible industry
Accessed
July 30, 2026
17
Houston Industrial Market Report - Q1 2026
Used for: Industrial-market vacancy, asking rent, sublease availability, and leasing concentration in Q1 2026
Publisher
Colliers
Published
April 9, 2026
Data period
First quarter 2026
Scope
Houston industrial market and submarkets
Locator
Market Trends: supply, absorption, construction, leasing shares, vacancy, asking rent, and sublease availability
Source tier
Tier 3 · credible industry
Accessed
July 30, 2026
18
About The TMC Library
Used for: Texas Medical Center institutional concentration
Publisher
The Texas Medical Center Library
Data period
Current institutional description accessed July 2026
Scope
Texas Medical Center campus, Houston
Locator
Institution count, hospital count, campus area, and employer description
Source tier
Tier 2 · recognized local institution
Accessed
July 30, 2026
19
Commercial Advertising Sign (On Premises)
Used for: On-premises commercial sign limits and installation requirements
Publisher
Houston Permitting Center
Data period
Current permit requirements and 2026 fees accessed July 2026
Scope
City of Houston on-premises signs visible from public rights-of-way
Locator
Permit description, sign-count limits, contractor rules, engineering thresholds, fees, processing time, and renewal requirements
Source tier
Tier 1 · government
Accessed
July 30, 2026
20
Off-Street Parking Ordinance
Used for: Off-street parking and loading requirements for development and redevelopment
Publisher
City of Houston Planning and Development Department
Data period
Current ordinance guidance accessed July 2026
Scope
City of Houston
Locator
New-development and redevelopment parking/loading requirements and modification or variance pathways
Source tier
Tier 1 · government
Accessed
July 30, 2026
21
County Business Patterns: 2023
Publisher
U.S. Census Bureau
Published
June 26, 2025
Data period
Calendar year 2023
Scope
County, metropolitan-area, and ZIP Code establishment data; no City of Houston place geography
Locator
Dataset geography, NAICS detail, establishment counts, employment, and payroll fields
Source tier
Tier 1 · government
Accessed
July 30, 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 Houston, Texas

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for Houston, Texas

Top 10 local-alignment scores from 14 concepts assessed

How each factor affected the highest-rated franchise concepts

Which positions depend most on individual assumptions?

How we calculated City Wide

Full score ledger

How to interpret the result

Which local conditions changed scores or rankings?

Target-market demand

Concepts helped most

Property replacement-cycle demand

Concepts helped most

Transportation, routing, and parking

Concepts challenged most

Referral ecosystem

Concepts helped most

Territory quality

Concepts challenged most

Best franchise categories we assessed in Houston, Texas

Best Restoration franchise opportunities we assessed in Houston, Texas

Explore the complete score calculations

City Wide

Full score ledger

Evidence confidence

Most important next check

HomeSmiles

Full score ledger

Evidence confidence

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Pillar To Post Home Inspectors

Full score ledger

Evidence confidence

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ActionCOACH

Full score ledger

Evidence confidence

Most important next check

Aire Serv

Full score ledger

Evidence confidence

Most important next check

Mister Sparky Electric

Full score ledger

Evidence confidence

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Jan-Pro International

Full score ledger

Evidence confidence

Most important next check

Mr. Rooter

Full score ledger

Evidence confidence

Most important next check

Tiger Adjusters

Full score ledger

Evidence confidence

Most important next check

ZOOM DRAIN

Full score ledger

Evidence confidence

Most important next check

FASTSIGNS

Full score ledger

Evidence confidence

Most important next check

Rainbow International Restoration

Full score ledger

Evidence confidence

Most important next check

Workout Anytime

Full score ledger

Evidence confidence

Most important next check

PuroClean

Full score ledger

Evidence confidence

Most important next check