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
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.
RankFranchiseAlignment and tierLargest advantageLargest constraintEvidence confidence
1City WideFacility management
71.6Tier 3 · Mixed modeled alignment
+1.0 ptsTarget-market demand-0.1 ptsTerritory qualityModerate evidence confidence
2HomeSmilesProperty maintenance services
71.1Tier 3 · Mixed modeled alignment
+1.5 ptsTarget-market demand-0.6 ptsTerritory qualityModerate evidence confidence
3Pillar To Post Home InspectorsHome inspection
71.0Tier 3 · Mixed modeled alignment
+1.3 ptsTarget-market demand-0.6 ptsTerritory qualityModerate evidence confidence
4ActionCOACHBusiness coaching
70.5Tier 3 · Mixed modeled alignment
+0.6 ptsReferral ecosystem-0.2 ptsTerritory qualityModerate evidence confidence
5Aire ServHVAC installation, repair, and maintenance
70.5Tier 3 · Mixed modeled alignment
+1.0 ptsTarget-market demand-0.9 ptsTransportation, routing, and parkingModerate evidence confidence
6Mister Sparky ElectricElectrical
70.2Tier 3 · Mixed modeled alignment
+0.9 ptsTarget-market demand-0.7 ptsTransportation, routing, and parkingModerate evidence confidence
7Jan-Pro InternationalCommercial cleaning
70.1Tier 3 · Mixed modeled alignment
+0.7 ptsTarget-market demand-0.5 ptsTerritory qualityModerate evidence confidence
8Mr. RooterPlumbing
70.1Tier 3 · Mixed modeled alignment
+1.0 ptsTarget-market demand-1.0 ptsTransportation, routing, and parkingModerate evidence confidence
9Tiger AdjustersPublic insurance adjusting
70.1Tier 3 · Mixed modeled alignment
+0.4 ptsReferral ecosystem-0.4 ptsTerritory qualityModerate evidence confidence
10ZOOM DRAINDrain and sewer service
70.0Tier 3 · Mixed modeled alignment
+0.8 ptsTarget-market demand-1.1 ptsTransportation, routing, and parkingModerate 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.

Factor impact among the highest-rated franchise conceptsDiverging dot plot showing nonzero factor score contributions for the top 14 concepts. Zero-point concept-factor pairs are omitted, and factors with no nonzero contributions are excluded.+1.5+0.80.0-0.8-1.5
Target-market demand
#1 City Wide · Target-market demand · +1.0 pts1#2 HomeSmiles · Target-market demand · +1.5 pts2#3 Pillar To Post Home Inspectors · Target-market demand · +1.3 pts3#4 ActionCOACH · Target-market demand · +0.1 pts4#5 Aire Serv · Target-market demand · +1.0 pts5#6 Mister Sparky Electric · Target-market demand · +0.9 pts6#7 Jan-Pro International · Target-market demand · +0.7 pts7#8 Mr. Rooter · Target-market demand · +1.0 pts8#9 Tiger Adjusters · Target-market demand · +0.3 pts9#10 ZOOM DRAIN · Target-market demand · +0.8 pts10#11 FASTSIGNS · Target-market demand · +0.4 pts11#12 Rainbow International Restoration · Target-market demand · +0.1 pts12#13 Workout Anytime · Target-market demand · +0.7 pts13
Property replacement-cycle demand
#3 Pillar To Post Home Inspectors · Property replacement-cycle demand · +0.3 pts3#5 Aire Serv · Property replacement-cycle demand · +0.9 pts5#6 Mister Sparky Electric · Property replacement-cycle demand · +0.6 pts6#8 Mr. Rooter · Property replacement-cycle demand · +0.7 pts8#10 ZOOM DRAIN · Property replacement-cycle demand · +0.7 pts10#12 Rainbow International Restoration · Property replacement-cycle demand · +0.2 pts12#14 PuroClean · Property replacement-cycle demand · +0.2 pts14
Transportation, routing, and parking
#1 City Wide · Transportation, routing, and parking · -0.1 pts1#2 HomeSmiles · Transportation, routing, and parking · -0.3 pts2#3 Pillar To Post Home Inspectors · Transportation, routing, and parking · -0.5 pts3#5 Aire Serv · Transportation, routing, and parking · -0.9 pts5#6 Mister Sparky Electric · Transportation, routing, and parking · -0.7 pts6#7 Jan-Pro International · Transportation, routing, and parking · -0.4 pts7#8 Mr. Rooter · Transportation, routing, and parking · -1.0 pts8#9 Tiger Adjusters · Transportation, routing, and parking · -0.3 pts9#10 ZOOM DRAIN · Transportation, routing, and parking · -1.1 pts10#11 FASTSIGNS · Transportation, routing, and parking · -0.4 pts11#12 Rainbow International Restoration · Transportation, routing, and parking · -0.8 pts12#13 Workout Anytime · Transportation, routing, and parking · -0.1 pts13#14 PuroClean · Transportation, routing, and parking · -0.9 pts14
Referral ecosystem
#1 City Wide · Referral ecosystem · +0.7 pts1#2 HomeSmiles · Referral ecosystem · +0.5 pts2#3 Pillar To Post Home Inspectors · Referral ecosystem · +0.4 pts3#4 ActionCOACH · Referral ecosystem · +0.6 pts4#6 Mister Sparky Electric · Referral ecosystem · +0.1 pts6#7 Jan-Pro International · Referral ecosystem · +0.2 pts7#8 Mr. Rooter · Referral ecosystem · +0.2 pts8#9 Tiger Adjusters · Referral ecosystem · +0.4 pts9#10 ZOOM DRAIN · Referral ecosystem · +0.4 pts10#11 FASTSIGNS · Referral ecosystem · +0.3 pts11#12 Rainbow International Restoration · Referral ecosystem · +0.5 pts12#14 PuroClean · Referral ecosystem · +0.5 pts14
Territory quality
#1 City Wide · Territory quality · -0.1 pts1#2 HomeSmiles · Territory quality · -0.6 pts2#3 Pillar To Post Home Inspectors · Territory quality · -0.6 pts3#4 ActionCOACH · Territory quality · -0.2 pts4#5 Aire Serv · Territory quality · -0.6 pts5#6 Mister Sparky Electric · Territory quality · -0.6 pts6#7 Jan-Pro International · Territory quality · -0.5 pts7#8 Mr. Rooter · Territory quality · -0.7 pts8#9 Tiger Adjusters · Territory quality · -0.4 pts9#10 ZOOM DRAIN · Territory quality · -0.7 pts10#11 FASTSIGNS · Territory quality · -0.8 pts11#12 Rainbow International Restoration · Territory quality · -0.7 pts12#13 Workout Anytime · Territory quality · -1.3 pts13#14 PuroClean · Territory quality · -0.7 pts14
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
ConceptTarget-market demandProperty replacement-cycle demandTransportation, routing, and parkingReferral ecosystemTerritory 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 baseline70.0
Target-market demand+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingEffect below the publication threshold
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.7
Territory quality-0.1
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.59
Published local-market alignment71.6

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.

Limited two-concept comparison

Best Restoration franchise opportunities we assessed in Houston, Texas

69.3

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.

#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 baseline70.0
Target-market demand+1.0
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingEffect below the publication threshold
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.7
Territory quality-0.1
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.59
Published local-market alignment71.6

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 baseline70.0
Target-market demand+1.5
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.3
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score71.08
Published local-market alignment71.1

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 baseline70.0
Target-market demand+1.3
Property replacement-cycle demand+0.3
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.5
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.4
Territory quality-0.5
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.97
Published local-market alignment71.0

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 baseline70.0
Target-market demand+0.1
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parkingEffect below the publication threshold
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.6
Territory quality-0.2
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.50
Published local-market alignment70.5

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 baseline70.0
Target-market demand+1.0
Property replacement-cycle demand+0.9
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.9
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.47
Published local-market alignment70.5

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 baseline70.0
Target-market demand+0.9
Property replacement-cycle demand+0.6
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.7
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.1
Territory quality-0.6
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.21
Published local-market alignment70.2

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 baseline70.0
Target-market demand+0.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.4
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory quality-0.5
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.10
Published local-market alignment70.1

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 baseline70.0
Target-market demand+1.0
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-1.0
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.2
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.08
Published local-market alignment70.1

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 baseline70.0
Target-market demand+0.3
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.3
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.4
Territory quality-0.4
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.05
Published local-market alignment70.1

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 baseline70.0
Target-market demand+0.8
Property replacement-cycle demand+0.7
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-1.1
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.4
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score70.04
Published local-market alignment70.0

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 baseline70.0
Target-market demand+0.4
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.4
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.3
Territory quality-0.8
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.58
Published local-market alignment69.6

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 baseline70.0
Target-market demand+0.1
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.8
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.40
Published local-market alignment69.4

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 baseline70.0
Target-market demand+0.7
Property replacement-cycle demandNot applicable to this operating model
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.1
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystemNot applicable to this operating model
Territory quality-1.3
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.26
Published local-market alignment69.3

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 baseline70.0
Target-market demandNot applicable to this operating model
Property replacement-cycle demand+0.2
Competitive environmentNot included in the score
Labor and staffing frictionNot included in the score
Transportation, routing, and parking-0.9
Real estate and site feasibilityDepends on the specific site, territory, or operating condition
Sales and customer acquisitionDepends on the specific site, territory, or operating condition
Referral ecosystem+0.5
Territory quality-0.7
Regulatory and operating frictionDepends on the specific site, territory, or operating condition
Full-precision calculated score69.14
Published local-market alignment69.1

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
MetricRaw valuePeriodGeographyHow usedSource
Resident population estimate on July 1, 20252,397,315peopleJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land areaHouston, TexasEvidence for Target-market demand, Territory quality [3]
Population change from the April 2020 estimate base to July 20254.2percentJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land areaHouston, TexasEvidence for Target-market demand [3]
Households in the 2020-2024 estimate period930,404householdsJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land areaHouston, TexasEvidence for Target-market demand, Territory quality [3]
Owner-occupied housing-unit rate42.1percentJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land areaHouston, TexasEvidence for Target-market demand, Property replacement-cycle demand [3]
Land area in 2020640.44square milesJuly 1, 2025 population estimate; 2020-2024 ACS characteristics; 2020 land areaHouston, TexasEvidence for Transportation, routing, and parking, Territory quality [3]
New single-family dwellings in the 2024 municipal permit workbook6,128dwelling unitsCalendar year 2024City of Houston permit recordsEvidence for Target-market demand, Property replacement-cycle demand [5]
Apartment dwellings in the 2024 municipal multi-family permit workbook3,563dwelling unitsCalendar year 2024City of Houston permit recordsEvidence for Target-market demand, Territory quality [6]
Duplex dwellings in the 2024 municipal multi-family permit workbook1,142dwelling unitsCalendar year 2024City of Houston permit recordsEvidence for Target-market demand, Territory quality [6]
Housing units built from 1980 through 2009376,667housing units2020-2024 American Community Survey 5-year estimate released January 2026Houston, Texas housing stockEvidence for Property replacement-cycle demand [4]
Share of housing units built from 1980 through 200936.2percent of housing units2020-2024 American Community Survey 5-year estimate released January 2026Houston, Texas housing stockEvidence for Property replacement-cycle demand [4]
Share of housing units built before 198046.96percent of housing units2020-2024 American Community Survey 5-year estimate released January 2026Houston, Texas housing stockEvidence for Property replacement-cycle demand [4]
Groundwater withdrawal and fine-grained sediment compaction cause regional land subsidenceGroundwater withdrawal compresses silts and clays in the Houston-Galveston aquifer system; most resulting compaction is irreversible.textActive monitoring program; structural mechanism and continuing regional measurementsHouston-Galveston regionEvidence for Property replacement-cycle demand, Territory quality [9]
Documented consequences of regional land subsidencealtered creek and bayou flow that may increase flooding frequency or severity, damage to roadways and bridges, damage to building foundations and other infrastructuredocumented effectsActive monitoring program; structural mechanism and continuing regional measurementsHouston-Galveston regionEvidence for Property replacement-cycle demand, Transportation, routing, and parking, Territory quality [9]
Countywide flood-resilience and flood-damage-reduction program areasfloodplain 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 areasCurrent plan and program listings accessed July 2026Harris County, TexasEvidence for Property replacement-cycle demand, Territory quality, Regulatory and operating friction [10]
Construction and extraction employment and concentrationemployment: 175,890; local employment share percent: 5.4; national employment share percent: 4.1; location quotient: 1.31mixedMay 2024Houston-Pasadena-The Woodlands, TexasEvidence for Labor and staffing friction [7]
Construction and extraction mean hourly wagehouston mean hourly wage: 26.62; united states mean hourly wage: 30.73usd per hourMay 2024Houston metropolitan area and United StatesEvidence for Labor and staffing friction [7]
Installation, maintenance, and repair employment share and mean hourly wagelocal employment share percent: 4.6; national employment share percent: 3.9; houston mean hourly wage: 29.63; united states mean hourly wage: 29.63mixedMay 2024Houston metropolitan area and United StatesEvidence for Labor and staffing friction [7]
Oil-and-gas field occupation concentrationderrick 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 quotientMay 2024Houston-Pasadena-The Woodlands, TexasEvidence for Labor and staffing friction [7]
Metropolitan unemployment rate in May 20264.6percentJanuary-June 2026; May and June values identified as preliminary where applicableHouston-Pasadena-The Woodlands, TexasEvidence for Labor and staffing friction [8]
Metropolitan construction employment and 12-month change in June 2026employment thousands: 269.5; twelve month change percent: 5.9mixedJanuary-June 2026; May and June values identified as preliminary where applicableHouston-Pasadena-The Woodlands, TexasEvidence for Labor and staffing friction [8]
Annual delay per auto commuter and Travel Time Indexannual person hours of delay per auto commuter: 77; travel time index: 1.36; reference year: 2,024mixedCalendar year 2024 congestion statisticsHouston urban areaEvidence for Transportation, routing, and parking [11]
Houston industrial market fundamentals in Q2 2026vacancy rate percent: 6.7; quarterly net absorption sqft: 7,000,000; under construction sqft: 17,700,000; quarterly leasing activity sqft: 9,000,000mixedSecond quarter 2026Houston industrial marketEvidence for Real estate and site feasibility, Territory quality [16]
Industrial-market vacancy, asking rent, sublease availability, and leasing concentration in Q1 2026overall 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: 23.5mixedFirst quarter 2026Houston industrial market and submarketsEvidence for Real estate and site feasibility, Territory quality [17]
Texas Medical Center institutional concentrationmedicine related institutions: 50; hospitals: 21; campus area square miles: 2.1; employer description: collectively described as the largest employer in HoustonmixedCurrent institutional description accessed July 2026Texas Medical Center campus, HoustonEvidence for Target-market demand, Referral ecosystem, Territory quality [18]
NHHIP Segment 3B-1 construction window and scopeconstruction start: 2024-10; anticipated completion year: 2,027; scope: St. Emanuel Street drainage outfall, box culverts, detention, and street reconstructionproject scheduleOfficial package scope and construction windows accessed July 2026StEvidence for Transportation, routing, and parking, Territory quality [14] [15]
NHHIP Segment 3B-2 construction window and scopeconstruction 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 scheduleOfficial package scope and construction windows accessed July 2026I-69 between SH 288 and I-45 South, Downtown Houston and Third Ward edgeEvidence for Transportation, routing, and parking, Territory quality [14] [15]
Non-residential drainage utility rate0.032usd per impervious square footCurrent rates effective January 1 through July 1, 2026, depending on feeCity of Houston non-residential propertyEvidence for Real estate and site feasibility, Regulatory and operating friction [12]
Drainage impact fee for increased impervious surface in covered service areas25.56usd per service unitCurrent rates effective January 1 through July 1, 2026, depending on feeApplicable City of Houston drainage impact-fee service areasEvidence for Real estate and site feasibility, Regulatory and operating friction [12] [13]
On-premises commercial sign limits and installation requirementsmaximum 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 requirementsCurrent permit requirements and 2026 fees accessed July 2026City of Houston; on-premises signs visible from public rights-of-wayEvidence for Regulatory and operating friction [19] [12]
Off-street parking and loading requirements for development and redevelopmentNew 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.textCurrent ordinance guidance accessed July 2026Houston, TexasEvidence 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

01

Measure the city

Collect reusable local metrics with source, period, geography, and confidence fields.

02

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

03

Apply scoreable effects

Score only effects that apply without an unresolved site, territory, customer, or project gate.

04

Preserve conditional effects

Keep location- or territory-dependent issues visible for diligence without automatically changing the score.

05

Test rank sensitivity

Remove one factor at a time from every concept and rerank using full-precision scores.

06

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

  1. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.

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