Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in San Antonio, Texas

We compared 14 franchise concepts for San Antonio, Texas.

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 Read the methodology

14Concepts evaluated

26Sources used

18Primary sources

39Local 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

69.6 average across 2 concepts

Largest positive factorTarget-market demand

1.7 points average among 13 affected concepts

Largest negative factorReal estate and site feasibility

0.7 points average reduction among 8 affected concepts

Most assumption-sensitive rankFASTSIGNS

Tested rank range spans 9 positions

Executive conclusion

What the ranking means for San Antonio, Texas

Our San Antonio, Texas analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. City Wide, Jan-Pro International, and ActionCOACH produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 13 concepts and added 1.7 points on average among them. Real estate and site feasibility was the broadest negative pressure, reducing the 8 exposed concepts by 0.7 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	74.1Tier 2 · Favorable modeled alignment	+3.4 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
2	Jan-Pro InternationalCommercial cleaning	72.8Tier 2 · Favorable modeled alignment	+2.9 ptsTarget-market demand	-0.3 ptsTerritory quality	Moderate evidence confidence
3	ActionCOACHBusiness coaching	72.6Tier 2 · Favorable modeled alignment	+2.1 ptsTarget-market demand	-0.1 ptsTerritory quality	Moderate evidence confidence
4	HomeSmilesProperty maintenance services	72.6Tier 2 · Favorable modeled alignment	+2.8 ptsTarget-market demand	-0.4 ptsTerritory quality	Moderate evidence confidence
5	Pillar To Post Home InspectorsHome inspection	71.9Tier 3 · Mixed modeled alignment	+1.6 ptsTarget-market demand	-0.3 ptsTerritory quality	Moderate evidence confidence
6	FASTSIGNSSigns and graphics	71.6Tier 3 · Mixed modeled alignment	+2.6 ptsTarget-market demand	-0.8 ptsReal estate and site feasibility	Moderate evidence confidence
7	Mr. RooterPlumbing	71.1Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-0.6 ptsReal estate and site feasibility	Moderate evidence confidence
8	ZOOM DRAINDrain and sewer service	71.0Tier 3 · Mixed modeled alignment	+1.3 ptsTarget-market demand	-0.8 ptsReal estate and site feasibility	Moderate evidence confidence
9	Aire ServHVAC installation, repair, and maintenance	71.0Tier 3 · Mixed modeled alignment	+1.4 ptsTarget-market demand	-0.8 ptsReal estate and site feasibility	Moderate evidence confidence
10	Tiger AdjustersPublic insurance adjusting	70.8Tier 3 · Mixed modeled alignment	+0.6 ptsTarget-market demand	-0.2 ptsTerritory quality	Moderate evidence confidence

View all 14 score calculations

Original factor comparison

How each factor affected the highest-rated franchise concepts

The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.

Highlight concept

Primary source records by factorTarget-market demand: ^[4] ^[5] ^[6] ^[7] ^[8] ^[10] ^[11] ^[12] ^[13] ^[16] ^[1]Property replacement-cycle demand: ^[5] ^[6] ^[24] ^[25] ^[26] ^[1]Competitive environment: ^[4] ^[8] ^[14] ^[16] ^[3]Labor and staffing friction: ^[8] ^[9] ^[10] ^[11] ^[24] ^[25] ^[1]Transportation, routing, and parking: ^[4] ^[7] ^[17] ^[18] ^[19] ^[3] ^[1]Real estate and site feasibility: ^[14] ^[15] ^[16] ^[20] ^[21] ^[22] ^[1] ^[2]Sales and customer acquisition: ^[13] ^[12] ^[11] ^[8] ^[4] ^[16] ^[3]Referral ecosystem: ^[13] ^[12] ^[11] ^[10] ^[8] ^[4]Territory quality: ^[4] ^[5] ^[14] ^[16] ^[17] ^[18] ^[21] ^[22] ^[26] ^[3]Regulatory and operating friction: ^[20] ^[21] ^[22] ^[23] ^[24] ^[25] ^[13] ^[2] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Real estate and site feasibility	Referral ecosystem	Territory quality
#1 City Wide	+3.4 pts	—	—	+0.7 pts	-0.1 pts
#2 Jan-Pro International	+2.9 pts	—	—	+0.2 pts	-0.3 pts
#3 ActionCOACH	+2.1 pts	—	—	+0.6 pts	-0.1 pts
#4 HomeSmiles	+2.8 pts	—	-0.4 pts	+0.6 pts	-0.4 pts
#5 Pillar To Post Home Inspectors	+1.6 pts	+0.3 pts	—	+0.4 pts	-0.3 pts
#6 FASTSIGNS	+2.6 pts	—	-0.8 pts	+0.3 pts	-0.5 pts
#7 Mr. Rooter	+1.3 pts	+0.6 pts	-0.6 pts	+0.2 pts	-0.4 pts
#8 ZOOM DRAIN	+1.3 pts	+0.6 pts	-0.8 pts	+0.4 pts	-0.5 pts
#9 Aire Serv	+1.4 pts	+0.8 pts	-0.8 pts	—	-0.4 pts
#10 Tiger Adjusters	+0.6 pts	—	—	+0.4 pts	-0.2 pts
#11 Mister Sparky Electric	+0.9 pts	+0.5 pts	-0.4 pts	+0.1 pts	-0.4 pts
#12 Workout Anytime	+0.7 pts	—	—	—	-0.8 pts
#13 Rainbow International Restoration	+0.1 pts	+0.2 pts	-0.8 pts	+0.5 pts	-0.4 pts
#14 PuroClean	—	+0.2 pts	-0.8 pts	+0.5 pts	-0.4 pts

Rank stability

Which positions depend most on individual assumptions?

The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.

#1 City WideStable · tested #1–#1

#2 Jan-Pro InternationalModerately sensitive · tested #2–#5

#3 ActionCOACHModerately sensitive · tested #2–#4

#4 HomeSmilesHighly sensitive · tested #2–#7

#5 Pillar To Post Home InspectorsModerately sensitive · tested #3–#6

#6 FASTSIGNSHighly sensitive · tested #5–#14

#7 Mr. RooterModerately sensitive · tested #7–#9

#8 ZOOM DRAINModerately sensitive · tested #7–#10

#9 Aire ServHighly sensitive · tested #7–#11

#10 Tiger AdjustersHighly sensitive · tested #4–#11

#11 Mister Sparky ElectricHighly sensitive · tested #6–#11

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

#13 Rainbow International RestorationStable · tested #12–#13

#14 PuroCleanModerately sensitive · tested #11–#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	+3.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
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	74.12
Published local-market alignment	74.1

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

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

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

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

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

Interpretation

How to interpret the result

City Wide, Jan-Pro International, ActionCOACH led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to real estate and site feasibility. 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, FASTSIGNS, 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.

Observed model effectPositive 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, 13 concepts changed position. FASTSIGNS moved from #6 to #14, the largest movement among concepts directly affected by this factor.

Concepts adjusted13 of 14

Average among affected+1.7 pts

Average across all concepts+1.6 pts

Concepts changing rank13

Concepts helped most

City WideFacility management

+3.4 pts

Jan-Pro InternationalCommercial cleaning

+2.9 pts

HomeSmilesProperty maintenance services

+2.8 pts

FASTSIGNSSigns and graphics

+2.6 pts

ActionCOACHBusiness coaching

+2.1 pts

Measured but not differentiating in this concept set

Competitive environmentNo material score adjustment
Labor and staffing frictionNo material score adjustment
Transportation, routing, and parkingNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in San Antonio, 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 69.5 to 69.6. Rainbow International Restoration ranked highest at 69.6. Referral ecosystem added 0.5 points on average among the affected concepts. Real estate and site feasibility reduced the exposed concepts by 0.8 points on average.

Interpret cautiously: A 0.1-point spread is too small to support a strong brand-level conclusion from city alignment alone.

Concepts compared: 2
Score range: 69.5–69.6
Category average: 69.6

Rainbow International Restoration69.6

PuroClean69.5

Compare all assessed concepts

Explore the complete score calculations

14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.

SearchCategoryLargest impactSort

#1Tier 2 · Favorable modeled alignment74.1

City Wide

Facility management · B2B facility management and vendor coordination

Increase +3.4 pts Target-market demandReduction -0.1 pts Territory quality

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+3.4
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
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	74.12
Published local-market alignment	74.1

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

Largest absolute effect: Target-market demand +3.4 pts
Tested rank range: #1–#1

Most important next check

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

#2Tier 2 · Favorable modeled alignment72.8

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +2.9 pts Target-market demandReduction -0.3 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.9
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	-0.3
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.75
Published local-market alignment	72.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand +2.9 pts
Tested rank range: #2–#5

Most important next check

What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?

#3Tier 2 · Favorable modeled alignment72.6

ActionCOACH

Business coaching · home-based B2B advisory

Increase +2.1 pts Target-market demandReduction -0.1 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	+2.1
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	-0.1
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.60
Published local-market alignment	72.6

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

Evidence confidence

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

Largest absolute effect: Target-market demand +2.1 pts
Tested rank range: #2–#4

Most important next check

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

#4Tier 2 · Favorable modeled alignment72.6

HomeSmiles

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

Increase +2.8 pts Target-market demandReduction -0.4 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.8
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.4
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.6
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	72.59
Published local-market alignment	72.6

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

Evidence confidence

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

Largest absolute effect: Target-market demand +2.8 pts
Tested rank range: #2–#7

Most important next check

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

#5Tier 3 · Mixed modeled alignment71.9

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +1.6 pts Target-market demandReduction -0.3 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.6
Property replacement-cycle demand	+0.3
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	-0.3
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.88
Published local-market alignment	71.9

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.6 pts
Tested rank range: #3–#6

Most important next check

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

#6Tier 3 · Mixed modeled alignment71.6

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +2.6 pts Target-market demandReduction -0.8 pts Real estate and site feasibility

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	+2.6
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.3
Territory quality	-0.5
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.62
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: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +2.6 pts
Tested rank range: #5–#14

Most important next check

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

#7Tier 3 · Mixed modeled alignment71.1

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +1.3 pts Target-market demandReduction -0.6 pts Real estate and site feasibility

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	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.6
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.2
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.06
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: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.3 pts
Tested rank range: #7–#9

Most important next check

Which residential and commercial service needs are expected to create the most repeatable demand for Mr. Rooter?

#8Tier 3 · Mixed modeled alignment71.0

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +1.3 pts Target-market demandReduction -0.8 pts Real estate and site feasibility

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	+0.6
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
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	71.05
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: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.3 pts
Tested rank range: #7–#10

Most important next check

Which residential and commercial service needs are expected to create the most repeatable demand for ZOOM DRAIN?

#9Tier 3 · Mixed modeled alignment71.0

Aire Serv

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

Increase +1.4 pts Target-market demandReduction -0.8 pts Real estate and site feasibility

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	+1.4
Property replacement-cycle demand	+0.8
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	71.05
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: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Adequate
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.4 pts
Tested rank range: #7–#11

Most important next check

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

#10Tier 3 · Mixed modeled alignment70.8

Tiger Adjusters

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

Increase +0.6 pts Target-market demandReduction -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	+0.6
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.4
Territory quality	-0.2
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.79
Published local-market alignment	70.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.6 pts
Tested rank range: #4–#11

Most important next check

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

#11Tier 3 · Mixed modeled alignment70.8

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.9 pts Target-market demandReduction -0.4 pts Territory quality

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.9
Property replacement-cycle demand	+0.5
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.4
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.1
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	70.78
Published local-market alignment	70.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand +0.9 pts
Tested rank range: #6–#11

Most important next check

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

#12Tier 3 · Mixed modeled alignment69.9

Workout Anytime

Fitness · fixed-location membership fitness

Increase +0.7 pts Target-market demandReduction -0.8 pts Territory quality

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.7
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not applicable to this operating model
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	Not applicable to this operating model
Territory quality	-0.8
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.90
Published local-market alignment	69.9

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

Evidence confidence

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

Largest absolute effect: Territory quality -0.8 pts
Tested rank range: #12–#14

Most important next check

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

#13Tier 3 · Mixed modeled alignment69.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.8 pts Real estate and site feasibility

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.64
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: Adequate
Factor Research Coverage: Strong
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Limited
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Real estate and site feasibility -0.8 pts
Tested rank range: #12–#13

Most important next check

How much secure vehicle and equipment storage does Rainbow International Restoration require at its operating base?

#14Tier 3 · Mixed modeled alignment69.5

PuroClean

Restoration · emergency property restoration

Increase +0.5 pts Referral ecosystemReduction -0.8 pts Real estate and site feasibility

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.2
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	-0.8
Sales and customer acquisition	Depends on the specific site, territory, or operating condition
Referral ecosystem	+0.5
Territory quality	-0.4
Regulatory and operating friction	Depends on the specific site, territory, or operating condition
Full-precision calculated score	69.50
Published local-market alignment	69.5

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

Evidence confidence

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

Largest absolute effect: Real estate and site feasibility -0.8 pts
Tested rank range: #11–#14

Most important next check

How much secure vehicle and equipment storage does PuroClean require at its operating base?

Metric registry

The 39 local metrics behind this analysis

The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.

View all local metrics

Metric	Raw value	Period	Geography	How used	Source
Resident population estimate on July 1, 2025	1,548,422people	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	8percent	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand, Territory quality	^[4]
Estimated households	554,581households	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand, Territory quality	^[4]
Owner-occupied housing-unit rate	52.2percent of occupied housing units	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand, Property replacement-cycle demand	^[4]
Land area in 2020	498.84square miles	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Transportation, routing, and parking, Territory quality	^[4]
Mean travel time to work	24.5minutes	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas workers age 16 and over	Evidence for Transportation, routing, and parking, Territory quality	^[4]
Health care and social assistance receipts or revenue in 2022	18,827,098,000usd	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand, Referral ecosystem	^[4]
Total retail sales in 2022	34,277,501,000usd	July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts	San Antonio, Texas	Evidence for Target-market demand	^[4]
Estimated total housing units in 2024	629,160housing units	2024 American Community Survey 1-year estimates	San Antonio, Texas	Evidence for Target-market demand, Property replacement-cycle demand, Territory quality	^[5]
Housing units built in 2020 or later	30,082housing units	2024 American Community Survey 1-year estimates	San Antonio, Texas housing stock	Evidence for Target-market demand, Territory quality	^[5]
Share of housing units built in 2020 or later	4.78percent of housing units	2024 American Community Survey 1-year estimates	San Antonio, Texas housing stock	Evidence for Target-market demand, Territory quality	^[5]
Housing units built before 1960	units: 114,474; share: 18.19housing units and percent of total	2024 American Community Survey 1-year estimates	San Antonio, Texas housing stock	Evidence for Property replacement-cycle demand	^[5]
Housing units built from 1970 through 2009	units: 344,907; share: 54.82housing units and percent of total	2024 American Community Survey 1-year estimates	San Antonio, Texas housing stock	Evidence for Property replacement-cycle demand, Target-market demand	^[5]
Housing units built from 1990 through 2009	units: 164,395; share: 26.13housing units and percent of total	2024 American Community Survey 1-year estimates	San Antonio, Texas housing stock	Evidence for Property replacement-cycle demand	^[5]
Owner-occupied share of occupied housing units in 2024	owner occupied units: 295,530; occupied units: 568,979; share: 51.94housing units and percent	2024 American Community Survey 1-year estimates	San Antonio, Texas	Evidence for Target-market demand, Property replacement-cycle demand	^[6]
Workers driving alone to work in 2024	workers: 506,465; all workers: 742,336; share: 68.23workers and percent	2024 American Community Survey 1-year estimates	San Antonio, Texas workers age 16 and over	Evidence for Transportation, routing, and parking, Target-market demand	^[7]
Workers working from home in 2024	workers: 82,573; all workers: 742,336; share: 11.12workers and percent	2024 American Community Survey 1-year estimates	San Antonio, Texas workers age 16 and over	Evidence for Target-market demand, Transportation, routing, and parking	^[7]
Total nonfarm employment in June 2026	1,196,800jobs	June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026	San Antonio-New Braunfels, Texas	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[8]
Professional and business services employment in June 2026	159,300jobs	June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026	San Antonio-New Braunfels, Texas	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[8]
Education and health services employment in June 2026	183,400jobs	June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026	San Antonio-New Braunfels, Texas	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[8]
Government employment in June 2026	184,600jobs	June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026	San Antonio-New Braunfels, Texas	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[8]
Unemployment rate in June 2026	4.8percent not seasonally adjusted preliminary	June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026	San Antonio-New Braunfels, Texas	Evidence for Labor and staffing friction	^[8]
Mean hourly wage across all occupations compared with the national mean	san antonio msa: 28.58; united states: 32.66usd per hour	May 2024	San Antonio-New Braunfels, Texas	Evidence for Labor and staffing friction	^[9]
Mean hourly wages for selected franchise-relevant occupational groups compared with national means	food preparation and serving: san antonio msa: 15.1, united states: 17.32; building and grounds cleaning and maintenance: san antonio msa: 16.34, united states: 19.01; office and administrative support: san antonio msa: 22.35, united states: 24.12; construction and extraction: san antonio msa: 25.08, united states: 30.73; installation maintenance and repair: san antonio msa: 27.17, united states: 29.63usd per hour	May 2024	San Antonio-New Braunfels, Texas	Evidence for Labor and staffing friction	^[9]
Institution-reported regional healthcare and biosciences ecosystem scale	economic contribution: 43,000,000,000; employment share: 20; university connected employees: 10,000usd percent and employees	Current institutional and regional-sector description published in July 2026	San Antonio healthcare and biosciences ecosystem	Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction	^[10]
Joint Base San Antonio personnel, mission partners, locations, and managed infrastructure	full time personnel: 80,000; mission partners minimum: 250; geographic locations: 11; managed infrastructure value: 37,000,000,000people entities locations and usd	July-August 2024 institutional scale	Joint Base San Antonio	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Territory quality	^[11]
Joint Base San Antonio operational contracting scope	mission partner organizations: 267; procurement categories: supplies, services, construction, small business support, plans and programs supportorganizations and categories	Current contracting guidance accessed August 2026	Joint Base San Antonio 502d Contracting Squadron	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[12]
City vendor registration and covered service categories	registration system: San Antonio e-Procurement System (SAePS); covered services: janitorial, landscaping, electrical, plumbing, HVAC; credential target: within 48 business hours after validationprocess and categories	Current vendor-registration guidance accessed August 2026	City of San Antonio	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition, Regulatory and operating friction	^[13]
Overall industrial vacancy, asking rent, leasing, and absorption in Q2 2026	vacancy rate: 11.1; asking rent: 8.83; ytd leasing sqft: 2,090,407; ytd net absorption sqft: 899,260percent usd per sqft per year and square feet	Second quarter and year-to-date 2026	San Antonio industrial market	Evidence for Real estate and site feasibility, Territory quality	^[14] ^[15]
Office service and flex inventory, vacancy, rent, leasing, and construction in Q2 2026	inventory sqft: 10,783,592; vacant sqft: 864,493; vacancy rate: 8; weighted net asking rent: 12.49; ytd leasing sqft: 196,344; ytd net absorption sqft: -45,103; under construction sqft: 210,088square feet percent and usd per sqft per year	Second quarter and year-to-date 2026	San Antonio office service and flex market	Evidence for Real estate and site feasibility, Territory quality	^[14]
Industrial vacancy-rate range across reported San Antonio submarkets	minimum: 1.9; minimum submarket: Far Northwest; maximum: 25.7; maximum submarket: Far North Centralpercent	Second quarter and year-to-date 2026	San Antonio industrial market submarkets	Evidence for Real estate and site feasibility, Territory quality	^[14]
Retail occupancy, tracked inventory, and 2025 deliveries	occupancy rate: 95.3; tracked inventory sqft: 49,600,000; new and expanded deliveries sqft: 561,000; anchor share of new space: 66percent and square feet	Year-end 2025	San Antonio multi-tenant shopping centers of at least 25,000 square feet	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[16]
Loop 1604 North Expansion scope	budget: 1,400,000,000; corridor length: 23; segments: 6usd miles and segments	Current project scope accessed August 2026	Loop 1604 North Expansion in northern Bexar County	Evidence for Transportation, routing, and parking, Territory quality, Real estate and site feasibility	^[17] ^[18]
Loop 1604 North Expansion segment completion schedule	segment 1: 2,026; segment 2: 2,028; segment 3: 2,026; segment 4: 2,028; segment 5: 2,028; segment 6: 2,029estimated completion year	Current segment schedule accessed August 2026	Loop 1604 North Expansion segments 1-6	Evidence for Transportation, routing, and parking, Territory quality	^[18] ^[19]
SAWS water and wastewater impact-fee components per equivalent dwelling unit	water supply: 2,592; water delivery flow: 1,368; water system development: low elevation: 1,510, middle elevation: 1,744, high elevation: 2,027; wastewater treatment: medio creek: 1,527, clouse leon creek: 1,105; wastewater collection: medio creek: 1,836, upper medina: 1,702, lower medina: 768, upper collection: 4,436, middle collection: 2,792, lower collection: 1,138usd per equivalent dwelling unit	Fee schedule effective July 1, 2024	Applicable SAWS water and wastewater systems	Evidence for Regulatory and operating friction, Real estate and site feasibility	^[20] ^[2]
GC-1 Hill Country Gateway Corridor design controls and setback thresholds	corridor reach: IH-10 corridor with a major-highway node at Loop 1604; setback applicability distance from ih10 right of way: 90; minimum front setback along ih10: 60; minimum side setback: 20; other controls: landscaping, parking screening, fencing, building materials, exterior colorsfeet and requirement categories	Current overlay guidance accessed August 2026	GC-1 Hill Country Gateway Corridor	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[21] ^[22] ^[23]
Foundation-repair permit and engineering requirements	permit required: yes; double fee for work before permit: yes; professional engineer guidance and inspection required: yesrequirements	Revision effective April 7, 2025	City of San Antonio	Evidence for Property replacement-cycle demand, Regulatory and operating friction, Labor and staffing friction	^[24]
Under-slab plumbing repair inspection and engineering requirements	city plumbing inspection or engineer letter: yes; structural evaluation required unless exception met: yes; tunneling safety requirements: yesrequirements	Revision effective April 2025	City of San Antonio	Evidence for Property replacement-cycle demand, Regulatory and operating friction, Labor and staffing friction	^[25]
Expansive-clay volume change can affect slab-on-grade foundations	UT San Antonio research evaluated void-space technology intended to isolate slab-on-grade foundations from expansive-soil volume change.documented engineering mechanism	Undated repository record accessed August 2026	Slab-on-grade foundations on expansive clay; local property exposure requires site confirmation	Evidence for Property replacement-cycle demand, Territory quality	^[26] ^[1]

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.

How the common baseline becomes a city-specific score

Every concept starts from the same 70.0 reference point, so differences come only from modeled local interactions. The current model caps total local movement at ±18.0 points. The score 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 · Report generated August 5, 2026 (site timezone)

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
The Utility Delta: A Structural Audit of Ten U.S. MarketsInternal or supplied research; not publicly accessible.
Used for: Expansive-clay volume change can affect slab-on-grade foundations
Publisher
Supplied research material
Data period
Research citations in the San Antonio section were described as accessed through February 24, 2026
Scope
San Antonio, Texas section within a multi-city research docket
Locator
San Antonio section, pages 10-12; document paragraphs 68-77
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
2
Structural Constraints and Hidden Costs: A Forensic Municipal AuditInternal or supplied research; not publicly accessible.
Used for: SAWS water and wastewater impact-fee components per equivalent dwelling unit
Publisher
Supplied research material
Data period
Research citations in the San Antonio section were described as accessed through February 20, 2026
Scope
San Antonio, Texas section within a multi-city municipal-research docket
Locator
San Antonio section, pages 10-12; document paragraphs 41-46
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
3
Franchise data - 2 - riverside through charlotte(6).csvInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Undated supplied neighborhood records
Scope
Six San Antonio-area submarket records
Locator
Rows for Alamo Heights, Terrell Hills, Shavano Park, The Dominion, Leon Springs, and Fair Oaks Ranch
Source tier
Tier 5 · supplied bespoke research
Accessed
August 2, 2026
4
QuickFacts: San Antonio city, Texas
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households, Owner-occupied housing-unit rate, and Land area in 2020
Publisher
U.S. Census Bureau
Published
May 14, 2026
Data period
July 1, 2025 population estimate; 2020-2024 ACS-derived characteristics; 2022 business receipts
Scope
San Antonio city, Texas
Locator
Population, housing, households, transportation, income, business receipts, and geography tables
Source tier
Tier 1 · government
Accessed
August 2, 2026
5
ACS 2024 1-Year Detailed Table B25034: Year Structure Built
Used for: Estimated total housing units in 2024, Housing units built in 2020 or later, Share of housing units built in 2020 or later, Housing units built before 1960, and Housing units built from 1970 through 2009
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-year estimates
Scope
San Antonio city, Texas
Locator
Place 65000 in Texas; total housing units and year-built cohorts
Source tier
Tier 1 · government
Accessed
August 2, 2026
6
ACS 2024 1-Year Detailed Table B25003: Tenure
Used for: Owner-occupied share of occupied housing units in 2024
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-year estimates
Scope
San Antonio city, Texas
Locator
Place 65000 in Texas; occupied, owner-occupied, and renter-occupied housing units
Source tier
Tier 1 · government
Accessed
August 2, 2026
7
ACS 2024 1-Year Detailed Table B08301: Means of Transportation to Work
Used for: Workers driving alone to work in 2024 and Workers working from home in 2024
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-year estimates
Scope
San Antonio city, Texas
Locator
Place 65000 in Texas; workers age 16 and over by transportation mode
Source tier
Tier 1 · government
Accessed
August 2, 2026
8
San Antonio-New Braunfels, TX Economy at a Glance
Used for: Total nonfarm employment in June 2026, Professional and business services employment in June 2026, Education and health services employment in June 2026, Government employment in June 2026, and Unemployment rate in June 2026
Publisher
U.S. Bureau of Labor Statistics
Data period
June 2026 preliminary labor-force and nonfarm-employment data extracted July 31, 2026
Scope
San Antonio-New Braunfels metropolitan statistical area
Locator
Labor Force Data and Nonfarm Wage and Salary Employment tables
Source tier
Tier 1 · government
Accessed
August 2, 2026
9
Occupational Employment and Wages in San Antonio-New Braunfels — May 2024
Used for: Mean hourly wage across all occupations compared with the national mean and Mean hourly wages for selected franchise-relevant occupational groups compared with national means
Publisher
U.S. Bureau of Labor Statistics
Published
June 17, 2025
Data period
May 2024
Scope
San Antonio-New Braunfels metropolitan statistical area
Locator
Area wage summary and major occupational-group table
Source tier
Tier 1 · government
Accessed
August 2, 2026
10
How UT San Antonio is fueling the state's workforce of the future
Used for: Institution-reported regional healthcare and biosciences ecosystem scale
Publisher
The University of Texas at San Antonio
Data period
Current institutional and regional-sector description published in July 2026
Scope
San Antonio regional healthcare and biosciences ecosystem
Locator
Bolstering the biosciences boom section
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026
11
Joint Base San Antonio, 502d Air Base Wing welcomes new commander
Used for: Joint Base San Antonio personnel, mission partners, locations, and managed infrastructure
Publisher
Joint Base San Antonio / U.S. Air Force
Published
August 1, 2024
Data period
July-August 2024 institutional scale
Scope
Joint Base San Antonio locations and regional community
Locator
Commander responsibility, mission partners, personnel, facilities, and economic-impact descriptions
Source tier
Tier 1 · government
Accessed
August 2, 2026
12
Doing Business with the 502d Contracting Squadron at Joint Base San Antonio
Used for: Joint Base San Antonio operational contracting scope
Publisher
Joint Base San Antonio / U.S. Air Force
Data period
Current contracting guidance accessed August 2026
Scope
Joint Base San Antonio operational contracting
Locator
Mission-partner count, procurement categories, contractor guidance, and purchase-card thresholds
Source tier
Tier 1 · government
Accessed
August 2, 2026
13
Become a Vendor
Used for: City vendor registration and covered service categories
Publisher
City of San Antonio Procurement Division
Data period
Current vendor-registration guidance accessed August 2026
Scope
City of San Antonio procurement
Locator
SAePS registration, covered service categories, and registration workflow
Source tier
Tier 1 · government
Accessed
August 2, 2026
14
San Antonio Industrial MarketBeat Q2 2026
Used for: Overall industrial vacancy, asking rent, leasing, and absorption in Q2 2026, Office service and flex inventory, vacancy, rent, leasing, and construction in Q2 2026, and Industrial vacancy-rate range across reported San Antonio submarkets
Publisher
Cushman & Wakefield
Published
July 24, 2026
Data period
Second quarter and year-to-date 2026
Scope
San Antonio industrial market and listed submarkets
Locator
Market fundamentals, pricing narrative, market statistics, and property-type tables
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
15
San Antonio Industrial Figures Q2 2026
Used for: Overall industrial vacancy, asking rent, leasing, and absorption in Q2 2026
Publisher
CBRE
Published
July 9, 2026
Data period
Second quarter 2026
Scope
San Antonio industrial market
Locator
Vacancy history and demand summary
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
16
Herb Weitzman weighs in: Texas retail is firing on all cylinders
Used for: Retail occupancy, tracked inventory, and 2025 deliveries
Publisher
Weitzman
Published
January 12, 2026
Data period
Year-end 2025
Scope
San Antonio multi-tenant shopping centers of at least 25,000 square feet
Locator
San Antonio Projects Retail Strength section
Source tier
Tier 3 · credible industry
Accessed
August 2, 2026
17
Loop 1604 North Expansion
Used for: Loop 1604 North Expansion scope
Publisher
Texas Department of Transportation
Data period
Current project scope accessed August 2026
Scope
Twenty-three miles of Loop 1604 in northern Bexar County
Locator
Project overview, corridor length, and budget
Source tier
Tier 1 · government
Accessed
August 2, 2026
18
Loop 1604 North Expansion: Project segments
Used for: Loop 1604 North Expansion scope and Loop 1604 North Expansion segment completion schedule
Publisher
Texas Department of Transportation
Data period
Current segment schedule accessed August 2026
Scope
Loop 1604 North Expansion segments 1-6
Locator
Segment limits, estimated starts, estimated completions, and costs
Source tier
Tier 1 · government
Accessed
August 2, 2026
19
Loop 1604 North Expansion: Traffic impacts
Used for: Loop 1604 North Expansion segment completion schedule
Publisher
Texas Department of Transportation
Data period
Active traffic impacts accessed August 2026
Scope
Loop 1604 North Expansion work zones
Locator
Temporary traffic shifts and lane, ramp, and frontage-road closure notices
Source tier
Tier 1 · government
Accessed
August 2, 2026
20
Developer Impact Fees
Used for: SAWS water and wastewater impact-fee components per equivalent dwelling unit
Publisher
San Antonio Water System
Published
July 1, 2024
Data period
Fee schedule effective July 1, 2024
Scope
SAWS water and wastewater service areas
Locator
Water supply, delivery, system-development, wastewater-treatment, and collection impact fees per equivalent dwelling unit
Source tier
Tier 1 · government
Accessed
August 2, 2026
21
Zoning Overlays
Used for: GC-1 Hill Country Gateway Corridor design controls and setback thresholds
Publisher
City of San Antonio Development Services Department
Data period
Current overlay guidance accessed August 2026
Scope
City of San Antonio overlay districts
Locator
Overlay identification and permit-review guidance
Source tier
Tier 1 · government
Accessed
August 2, 2026
22
Hill Country Gateway Corridor District Plan Site Development Standards
Used for: GC-1 Hill Country Gateway Corridor design controls and setback thresholds
Publisher
City of San Antonio Development Services Department
Data period
Current GC-1 standards accessed August 2026
Scope
GC-1 Hill Country Gateway Corridor along IH-10, including the Loop 1604 intersection node
Locator
Setbacks, fencing, landscaping, screening, materials, colors, and major-highway-node provisions
Source tier
Tier 1 · government
Accessed
August 2, 2026
23
RID 2025-001: Setbacks in Corridor Overlay Districts
Used for: GC-1 Hill Country Gateway Corridor design controls and setback thresholds
Publisher
City of San Antonio Development Services Department
Published
January 1, 2025
Data period
2025 rule interpretation
Scope
GC-1 and other named gateway corridor overlay districts
Locator
Applicability and staff interpretation of corridor setbacks
Source tier
Tier 1 · government
Accessed
August 2, 2026
24
Information Bulletin 172: Residential and Commercial Foundation Repair Permits
Used for: Foundation-repair permit and engineering requirements
Publisher
City of San Antonio Development Services Department
Published
April 7, 2025
Data period
Revision effective April 7, 2025
Scope
Residential and commercial foundation repair within City of San Antonio jurisdiction
Locator
Permit application, engineer-of-record, inspection, and additional project requirements
Source tier
Tier 1 · government
Accessed
August 2, 2026
25
Information Bulletin 176: Plumbing Installation and Inspections / Repairs Within Tunneling Below Foundations
Used for: Under-slab plumbing repair inspection and engineering requirements
Publisher
City of San Antonio Development Services Department
Published
April 1, 2025
Data period
Revision effective April 2025
Scope
Under-slab plumbing work within City of San Antonio jurisdiction
Locator
Tunneling inspection procedures, exceptions, engineering review, and safety requirements
Source tier
Tier 1 · government
Accessed
August 2, 2026
26
An Evaluation of Using Void Box for Slab-On-Grade Foundation on Expansive Clay
Used for: Expansive-clay volume change can affect slab-on-grade foundations
Publisher
The University of Texas at San Antonio Research Repository
Data period
Undated repository record accessed August 2026
Scope
Engineering mechanism applicable to slab-on-grade foundations on expansive clay; not a citywide exposure map
Locator
Abstract and study purpose
Source tier
Tier 2 · recognized institutional research
Accessed
August 2, 2026

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Review the current Franchise Disclosure Document.
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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 San Antonio, Texas

Why these concepts were evaluated

What stood out in our assessment

What the ranking means for San Antonio, 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

Real estate and site feasibility

Concepts challenged most

Referral ecosystem

Concepts helped most

Territory quality

Concepts challenged most

Best franchise categories we assessed in San Antonio, Texas

Best Restoration franchise opportunities we assessed in San Antonio, Texas

Explore the complete score calculations

City Wide

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Jan-Pro International

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ActionCOACH

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HomeSmiles

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Pillar To Post Home Inspectors

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FASTSIGNS

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Mr. Rooter

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ZOOM DRAIN

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Aire Serv

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Tiger Adjusters

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Mister Sparky Electric

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Workout Anytime

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Rainbow International Restoration

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PuroClean

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