Local operating-model alignment analysis

Best Franchise Opportunities We Assessed in El Paso, Texas

We ranked 14 franchise concepts for El Paso, Texas using local demand, labor, transportation, real estate, regulation, and source-backed evidence.

What “best” means in this ranking“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page. It does not estimate earnings or determine which franchise is best for a particular candidate.

Analysis by Thomas Jepsen, MSc Model: 0.9.0

View the ranking Read the methodology

14Concepts evaluated

20Sources used

15Primary sources

32Local metrics

Evaluation set

Why these concepts were evaluated

This is not a ranking of every franchise that may be offered in the city.

14Concepts assessed

Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.

A brand’s participation in our referral network does not add points or change its position.

City-level conclusions

What stood out in our assessment

Highest category average (limited comparison)Restoration

70.6 average across 2 concepts

Largest positive factorTarget-market demand

0.9 points average among 11 affected concepts

Most assumption-sensitive rankJan-Pro International

Tested rank range spans 12 positions

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	72.7Tier 2 · Favorable modeled alignment	+2.3 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
2	ActionCOACHBusiness coaching	72.0Tier 2 · Favorable modeled alignment	+1.5 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
3	Jan-Pro InternationalCommercial cleaning	71.9Tier 3 · Mixed modeled alignment	+1.9 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
4	FASTSIGNSSigns and graphics	71.8Tier 3 · Mixed modeled alignment	+1.7 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
5	HomeSmilesProperty maintenance services	71.5Tier 3 · Mixed modeled alignment	+1.1 ptsTarget-market demand	No material negative local adjustment	Moderate evidence confidence
6	ZOOM DRAINDrain and sewer service	70.9Tier 3 · Mixed modeled alignment	+0.3 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
7	Aire ServHVAC installation, repair, and maintenance	70.7Tier 3 · Mixed modeled alignment	+0.4 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
8	Mr. RooterPlumbing	70.6Tier 3 · Mixed modeled alignment	+0.3 ptsProperty replacement-cycle demand	No material negative local adjustment	Moderate evidence confidence
9	Pillar To Post Home InspectorsHome inspection	70.6Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	Moderate evidence confidence
10	Rainbow International RestorationRestoration	70.6Tier 3 · Mixed modeled alignment	+0.4 ptsReferral ecosystem	No material negative local adjustment	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] ^[6] ^[7] ^[9] ^[10] ^[1]Property replacement-cycle demand: ^[5] ^[4] ^[1]Competitive environment: ^[4] ^[7] ^[6] ^[3]Labor and staffing friction: ^[6] ^[7] ^[8] ^[2] ^[1]Transportation, routing, and parking: ^[13] ^[14] ^[4] ^[3] ^[1]Real estate and site feasibility: ^[11] ^[12] ^[17] ^[18] ^[1]Sales and customer acquisition: ^[6] ^[15] ^[16] ^[4] ^[7]Referral ecosystem: ^[6] ^[9] ^[10] ^[15] ^[16]Territory quality: ^[17] ^[18] ^[13] ^[14] ^[3] ^[10]Regulatory and operating friction: ^[17] ^[18] ^[19] ^[20] ^[2] ^[3]

View the chart data as a table

Concept	Target-market demand	Property replacement-cycle demand	Referral ecosystem
#1 City Wide	+2.3 pts	—	+0.4 pts
#2 ActionCOACH	+1.5 pts	—	+0.6 pts
#3 Jan-Pro International	+1.9 pts	—	—
#4 FASTSIGNS	+1.7 pts	—	+0.1 pts
#5 HomeSmiles	+1.1 pts	—	+0.4 pts
#6 ZOOM DRAIN	+0.3 pts	+0.3 pts	+0.3 pts
#7 Aire Serv	+0.2 pts	+0.4 pts	—
#8 Mr. Rooter	+0.2 pts	+0.3 pts	+0.1 pts
#9 Pillar To Post Home Inspectors	+0.1 pts	+0.1 pts	+0.4 pts
#10 Rainbow International Restoration	+0.1 pts	+0.1 pts	+0.4 pts
#11 Tiger Adjusters	+0.2 pts	—	+0.4 pts
#12 PuroClean	—	+0.1 pts	+0.4 pts
#13 Mister Sparky Electric	—	+0.3 pts	+0.1 pts
#14 Workout Anytime	—	—	—

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 WideHighly sensitive · tested #1–#9

#2 ActionCOACHModerately sensitive · tested #2–#4

#3 Jan-Pro InternationalHighly sensitive · tested #2–#14

#4 FASTSIGNSHighly sensitive · tested #3–#12

#5 HomeSmilesStable · tested #5–#6

#6 ZOOM DRAINHighly sensitive · tested #1–#7

#7 Aire ServHighly sensitive · tested #6–#12

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

#9 Pillar To Post Home InspectorsHighly sensitive · tested #4–#10

#10 Rainbow International RestorationHighly sensitive · tested #5–#11

#11 Tiger AdjustersHighly sensitive · tested #7–#12

#12 PuroCleanHighly sensitive · tested #3–#13

#13 Mister Sparky ElectricHighly sensitive · tested #9–#13

#14 Workout AnytimeStable · tested #13–#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	+2.3
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	72.67
Published local-market alignment	72.7

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

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

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

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

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

Interpretation

How to interpret the result

City Wide, ActionCOACH, Jan-Pro International led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to competitive environment. 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 City Wide, Jan-Pro International, FASTSIGNS; their ranks move more widely when individual factors are neutralized.

Factor impact

Which local conditions changed scores or rankings?

We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.

Operating 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 11 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Jan-Pro International moved from #3 to #13, the largest movement among concepts directly affected by this factor.

Concepts adjusted11 of 14

Average among affected+0.9 pts

Average across all concepts+0.7 pts

Concepts changing rank11

Concepts helped most

City WideFacility management

+2.3 pts

Jan-Pro InternationalCommercial cleaning

+1.9 pts

FASTSIGNSSigns and graphics

+1.7 pts

ActionCOACHBusiness coaching

+1.5 pts

HomeSmilesProperty maintenance services

+1.1 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
Real estate and site feasibilityNo material score adjustment
Sales and customer acquisitionNo material score adjustment
Territory qualityNo material score adjustment
Regulatory and operating frictionNo material score adjustment

Category comparisons

Best franchise categories we assessed in El Paso, 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 70.5 to 70.6. Rainbow International Restoration ranked highest at 70.6. Referral ecosystem added 0.4 points on average among the affected concepts.

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: 70.5–70.6
Category average: 70.6

Rainbow International Restoration70.6

PuroClean70.5

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 alignment72.7

City Wide

Facility management · B2B facility management and vendor coordination

Increase +2.3 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+2.3
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	72.67
Published local-market alignment	72.7

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

Evidence confidence

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

Largest absolute effect: Target-market demand +2.3 pts
Tested rank range: #1–#9

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 alignment72.0

ActionCOACH

Business coaching · home-based B2B advisory

Increase +1.5 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.5
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.6
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	72.05
Published local-market alignment	72.0

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.5 pts
Tested rank range: #2–#4

Most important next check

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

#3Tier 3 · Mixed modeled alignment71.9

Jan-Pro International

Commercial cleaning · recurring commercial route service

Increase +1.9 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.9
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	71.89
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: Adequate
Franchise-profile completeness: Limited
Source-evidence confidence: Strong
Geographic applicability: Adequate
Overall evidence confidence: Moderate evidence confidence

Largest absolute effect: Target-market demand +1.9 pts
Tested rank range: #2–#14

Most important next check

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

#4Tier 3 · Mixed modeled alignment71.8

FASTSIGNS

Signs and graphics · B2B production and installation center

Increase +1.7 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.7
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	71.84
Published local-market alignment	71.8

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.7 pts
Tested rank range: #3–#12

Most important next check

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

#5Tier 3 · Mixed modeled alignment71.5

HomeSmiles

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

Increase +1.1 pts Target-market demandNo material negative local adjustment identified

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+1.1
Property replacement-cycle demand	Not applicable to this operating model
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	71.50
Published local-market alignment	71.5

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

Evidence confidence

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

Largest absolute effect: Target-market demand +1.1 pts
Tested rank range: #5–#6

Most important next check

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

#6Tier 3 · Mixed modeled alignment70.9

ZOOM DRAIN

Drain and sewer service · emergency skilled-trade route service

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.3
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.3
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.92
Published local-market alignment	70.9

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

Evidence confidence

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

Largest absolute effect: Property replacement-cycle demand +0.3 pts
Tested rank range: #1–#7

Most important next check

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

#7Tier 3 · Mixed modeled alignment70.7

Aire Serv

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

Increase +0.4 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.2
Property replacement-cycle demand	+0.4
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.67
Published local-market alignment	70.7

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

Evidence confidence

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

Largest absolute effect: Property replacement-cycle demand +0.4 pts
Tested rank range: #6–#12

Most important next check

What daily vehicle utilization and travel-time allowance are built into Aire Serv's operating plan?

#8Tier 3 · Mixed modeled alignment70.6

Mr. Rooter

Plumbing · scheduled and emergency skilled-trade service

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Moderately sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.2
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.63
Published local-market alignment	70.6

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

Evidence confidence

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

Largest absolute effect: Property replacement-cycle demand +0.3 pts
Tested rank range: #8–#11

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 alignment70.6

Pillar To Post Home Inspectors

Home inspection · mobile property inspection service

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.63
Published local-market alignment	70.6

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

Evidence confidence

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

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #4–#10

Most important next check

Which transaction corridors and referral markets would define Pillar To Post Home Inspectors's practical inspection territory?

#10Tier 3 · Mixed modeled alignment70.6

Rainbow International Restoration

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.1
Property replacement-cycle demand	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.59
Published local-market alignment	70.6

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

Evidence confidence

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

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #5–#11

Most important next check

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

#11Tier 3 · Mixed modeled alignment70.5

Tiger Adjusters

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

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	+0.2
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.54
Published local-market alignment	70.5

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

Evidence confidence

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

Largest absolute effect: Referral ecosystem +0.4 pts
Tested rank range: #7–#12

Most important next check

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

#12Tier 3 · Mixed modeled alignment70.5

PuroClean

Restoration · emergency property restoration

Increase +0.4 pts Referral ecosystemNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
Property replacement-cycle demand	+0.1
Competitive environment	Not included in the score
Labor and staffing friction	Measured; no meaningful local adjustment
Transportation, routing, and parking	Depends on the specific site, territory, or operating condition
Real estate and site feasibility	Not included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.4
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.52
Published local-market alignment	70.5

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

Evidence confidence

City Modifier Evidence: Adequate
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 +0.4 pts
Tested rank range: #3–#13

Most important next check

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

#13Tier 3 · Mixed modeled alignment70.4

Mister Sparky Electric

Electrical · skilled-trade home service

Increase +0.3 pts Property replacement-cycle demandNo material negative local adjustment identified

Rank sensitivity: Highly sensitive

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	+0.1
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.35
Published local-market alignment	70.4

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

Evidence confidence

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

Largest absolute effect: Property replacement-cycle demand +0.3 pts
Tested rank range: #9–#13

Most important next check

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

#14Tier 3 · Mixed modeled alignment70.0

Workout Anytime

Fitness · fixed-location membership fitness

No material positive local adjustment identifiedNo material negative local adjustment identified

Rank sensitivity: Stable

How we scored this concept

Full score ledger

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

Neutral model baseline	70.0
Target-market demand	Not applicable to this operating model
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 included in the score
Sales and customer acquisition	Not included in the score
Referral ecosystem	Not applicable to this operating model
Territory quality	Depends on the specific site, territory, or operating condition
Regulatory and operating friction	Not included in the score
Full-precision calculated score	70.00
Published local-market alignment	70.0

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

Evidence confidence

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

Largest absolute effect: 0.0 pts
Tested rank range: #13–#14

Most important next check

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

Metric registry

The 32 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	683,012people	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data	El Paso, Texas	Evidence for Target-market demand, Territory quality	^[4]
Population change from the April 2020 estimate base to July 2025	0.6percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data	El Paso, Texas	Evidence for Target-market demand	^[4]
Estimated households, 2020-2024	245,346households	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data	El Paso, Texas	Evidence for Target-market demand	^[4]
Owner-occupied housing unit rate, 2020-2024	60.8percent	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data	El Paso, Texas	Evidence for Target-market demand, Property replacement-cycle demand	^[4]
Total retail sales in 2022	12,694,132,000usd	July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data	El Paso, Texas	Evidence for Target-market demand	^[4]
Total housing units in the 2024 ACS 1-year estimate	267,769housing units	2024 American Community Survey 1-Year Estimates	El Paso, Texas	Evidence for Property replacement-cycle demand, Target-market demand	^[5]
Housing units built 1990 to 1999 in the 2024 ACS 1-year estimate	33,212housing units	2024 American Community Survey 1-Year Estimates	El Paso, Texas	Evidence for Property replacement-cycle demand	^[5]
Housing units built 2000 to 2009 in the 2024 ACS 1-year estimate	36,406housing units	2024 American Community Survey 1-Year Estimates	El Paso, Texas	Evidence for Property replacement-cycle demand	^[5]
Share of 2024 housing units built from 1990 through 2009	26percent of housing units	2024 American Community Survey 1-Year Estimates	El Paso, Texas	Evidence for Property replacement-cycle demand	^[5]
Total nonfarm employment in June 2026, preliminary and not seasonally adjusted	365,100jobs	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Target-market demand, Labor and staffing friction, Referral ecosystem	^[6]
Government employment in June 2026, preliminary and not seasonally adjusted	71,900jobs	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Target-market demand, Referral ecosystem	^[6]
Professional and business services employment in June 2026, preliminary and not seasonally adjusted	43,900jobs	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Target-market demand, Referral ecosystem, Sales and customer acquisition	^[6]
Education and health services employment in June 2026, preliminary and not seasonally adjusted	56,000jobs	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Target-market demand, Referral ecosystem	^[6]
Trade, transportation, and utilities employment in June 2026, preliminary and not seasonally adjusted	80,800jobs	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Target-market demand, Labor and staffing friction, Transportation, routing, and parking	^[6]
Unemployment rate in June 2026, preliminary and not seasonally adjusted	4.9percent	June 2026 preliminary labor-force and nonfarm-employment data	El Paso, TX Metropolitan Statistical Area	Evidence for Labor and staffing friction	^[6]
Covered establishments in El Paso County in fourth quarter 2025	16,700establishments rounded	Fourth quarter 2025	El Paso County, Texas	Evidence for Target-market demand, Competitive environment, Referral ecosystem, Sales and customer acquisition	^[7]
Covered employment in El Paso County in December 2025	342,900jobs rounded	Fourth quarter 2025	El Paso County, Texas	Evidence for Target-market demand, Labor and staffing friction	^[7]
Average weekly wage in El Paso County in fourth quarter 2025	1,020usd per week	Fourth quarter 2025	El Paso County, Texas	Evidence for Labor and staffing friction	^[7]
Mean hourly wage across all occupations in May 2024	24.06usd per hour	May 2024 OEWS	El Paso, TX Metropolitan Statistical Area	Evidence for Labor and staffing friction	^[8]
Selected overlapping frontline occupational-group mean wages in May 2024	food preparation and serving: 13.19; building and grounds cleaning and maintenance: 14.07usd per hour	May 2024 OEWS	El Paso, TX Metropolitan Statistical Area	Evidence for Labor and staffing friction	^[8]
UTEP official Fall 2025 enrollment	26,297students	Fall 2025 official census enrollment	The University of Texas at El Paso	Evidence for Target-market demand, Referral ecosystem	^[9]
Fort Bliss cantonment area is within El Paso city limits	yesboolean	Current installation description accessed August 2026	Fort Bliss	Evidence for Target-market demand, Referral ecosystem, Territory quality	^[10]
El Paso industrial market activity in second quarter 2026	net absorption sqft: 1,600,000; under construction sqft: 6,600,000; projects under construction: 20; new starts sqft over: 1,900,000; deliveries sqft: 1,500,000; share of leasing and user sale activity above 100k sqft: more than two thirds; vacancy change quarter over quarter basis points: -30; vacancy change year over year basis points: -100mixed industrial metrics	Second quarter 2026	El Paso industrial market	Evidence for Real estate and site feasibility, Target-market demand, Territory quality	^[11]
Comparative national shallow-bay supply context: demand for buildings under 50,000 square feet is outstripping available supply in analyzed major U.S. markets	shallow bay building size sqft under: 50,000; direction: availability tighter than overall industrial in analyzed marketscomparative context	National shallow-bay industrial analysis through 2025	Major U.S	Evidence for Real estate and site feasibility	^[12]
West El Paso-area continuous and recurring project closures during summer 2026	i10 westbound transmountain exit closed through: 2026-08-31; santiago artcraft intersection expected reopen: 2026-08-01; corridors with recurring or continuous work: I-10, SH-178 Artcraft, Loop 375 Border Highway, US-54, BU-54A Dyerstructured closure record	July 2026 closures with some continuous closures through August 2026 or further notice	West and central El Paso-area TxDOT corridors	Evidence for Transportation, routing, and parking, Territory quality	^[13]
East El Paso-area continuous project closures extending through late 2026	sargent major exit ramps closed through: 2026-12-31; montana joe battle through lanes closed through: 2026-12-31; montana frontage road reductions through: 2026-12-31; purple heart 375 shoulders: until further noticestructured closure record	July 2026 notices with continuous closures through December 2026 or further notice	East El Paso-area TxDOT corridors	Evidence for Transportation, routing, and parking, Territory quality	^[14]
City of El Paso was actively issuing 2026 capital-improvement professional-services solicitations at the time of research	examples: 2026-0479R Geotechnical & Material Testing Services for EPIA, 2026-0428R On-Call Professional Services - Traffic Engineering, 2026-0427R On-Call Professional Services - Surveying, 2026-0426R On-Call Professional Services - Construction Managementsolicitation examples	Current solicitations accessed August 2026	El Paso, Texas	Evidence for Sales and customer acquisition, Referral ecosystem, Target-market demand	^[15]
Example City of El Paso professional-services RFQ schedule from issuance to target council approval	issued: 2026-06-04; submission deadline: 2026-06-29; ranking notification: 2026-07-10; council approval target: 2026-08procurement schedule	June-August 2026 procurement schedule	El Paso, Texas	Evidence for Sales and customer acquisition, Referral ecosystem	^[16]
P-I Planned Industrial district imposes enclosed-building and screened-storage conditions	all uses completely enclosed: yes; open storage raw in process finished materials supplies or waste: not allowed; open storage finished or semifinished products: allowed if screened; screening wall height feet: min: 6, max: 8; parking in required front yard: not allowed; materials equipment products in required front yard: not allowedcodified requirements	Current codified ordinance text accessed August 2026	P-I Planned Industrial, City of El Paso	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[17]
City outdoor-storage standards apply to specified vehicles, wheeled units, materials, equipment and merchandise, with surfacing and screening requirements for covered uses	covered categories include: motor vehicles, commercial and noncommercial trucks, trailers, storage containers, equipment, materials, products, merchandise; material equipment storage screening: screen from adjacent properties and public streets under Chapter 20.16 or other Title 20 provisionscodified requirements	Current codified ordinance text accessed August 2026	El Paso, Texas; applicability depends on use and zoning	Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality	^[18]
City Planning & Inspections publishes sign permit, comprehensive sign plan, contractor registration, zoning and development applications	sign permit application: yes; comprehensive sign plan: yes; contractor registration application: yes; zoning and development forms: yesprocess availability	Current forms and permitting resources accessed August 2026	El Paso, Texas	Evidence for Regulatory and operating friction	^[19]
El Paso Water Public Service Board approved FY 2026-27 water, wastewater and stormwater budgets on January 14, 2026; the budget notice states stormwater fees will not increase	budget approved: yes; approval date: 2026-01-14; stormwater fee increase: nobudget status	Fiscal year 2026-2027 approved budgets	El Paso Water service area	Evidence for Regulatory and operating friction, Territory quality	^[20]

How to use the ranking

What the model can and cannot establish

Scores measure local operating alignment, not expected financial performance or franchise-system quality.
Citywide evidence may not describe the exact site or territory ultimately offered.
Conditional effects are shown for diligence but do not change the published score until their applicability is established.

Methodology

How the local-alignment ranking is calculated

Measure the city

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

Profile each operating model

Map each franchise to controlled operating attributes and local sensitivities.

Apply scoreable effects

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

Preserve conditional effects

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

Test rank sensitivity

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

Generate public output

Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.

Why every concept begins at 70.0

70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It is not a percentage, probability, or estimate of investment quality.

Precision and materiality

Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.

Score tiers

Tier 1 · Strongest modeled alignment80.0–100.0

Tier 2 · Favorable modeled alignment72.0–80.0

Tier 3 · Mixed modeled alignment64.0–72.0

Tier 4 · Higher-friction modeled alignment0.0–64.0

How factor rows are classified

Positive local adjustmentNegative local adjustmentMeasured; no meaningful local adjustmentEffect below the publication thresholdNot applicable to this operating modelDepends on the specific site, territory, or operating conditionNot included in the score

What “best” means here

“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.

Model 0.9.0 · Compiler 0.9.10-nonzero-markers-only · Analysis updated August 7, 2026

Model governance

How this report is calculated and corrected

Calculation controls

Model designer: Thomas Jepsen

No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.

Model history

Model 0.9.0-calibration · August 7, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.

Corrections policy

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

Source registry

Evidence represented in this report

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

1
Structural Inefficiencies and Asymmetric Franchise Opportunities in Tier-1 U.S. MarketsInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied El Paso section as provided August 7, 2026
Scope
El Paso, Texas section within a multi-city research docket
Locator
El Paso, Texas section, macro-physical reality, infrastructure/micro-geography, and smart-money thesis
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
2
Forensic Audit of Municipal Structural Constraints: Cross-Jurisdictional Barrier AnalysisInternal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied El Paso section as provided August 7, 2026
Scope
El Paso, Texas section within a multi-city municipal audit
Locator
El Paso, Texas section, wage, utility, infrastructure, zoning, and seasonality subsections
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
3
Franchise data - remake - Combine2 (El Paso rows)Internal or supplied research; not publicly accessible.
Publisher
Supplied research material
Data period
Supplied neighborhood observations as provided August 7, 2026
Scope
Six supplied El Paso-area submarkets: Coronado, Mesa Hills, Cielo Vista, East Side, Socorro, and Canutillo
Locator
Rows where city = El Paso and state = Texas
Source tier
Tier 5 · supplied bespoke research
Accessed
August 7, 2026
4
QuickFacts: El Paso city, Texas
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Estimated households, 2020-2024, Owner-occupied housing unit rate, 2020-2024, and Total retail sales in 2022
Publisher
U.S. Census Bureau
Data period
July 1, 2025 population estimate; 2020-2024 ACS characteristics; 2022 economic data
Scope
El Paso city, Texas
Locator
Population, households, housing, income, retail sales, and commuting facts
Source tier
Tier 1 · government
Accessed
August 7, 2026
5
B25034: Year Structure Built, 2024 ACS 1-Year Estimates
Used for: Total housing units in the 2024 ACS 1-year estimate, Housing units built 1990 to 1999 in the 2024 ACS 1-year estimate, Housing units built 2000 to 2009 in the 2024 ACS 1-year estimate, and Share of 2024 housing units built from 1990 through 2009
Publisher
U.S. Census Bureau
Data period
2024 American Community Survey 1-Year Estimates
Scope
El Paso city, Texas
Locator
Table B25034, El Paso city geography
Source tier
Tier 1 · government
Accessed
August 7, 2026
6
El Paso, TX Economy at a Glance and Metropolitan Area Data
Used for: Total nonfarm employment in June 2026, preliminary and not seasonally adjusted, Government employment in June 2026, preliminary and not seasonally adjusted, Professional and business services employment in June 2026, preliminary and not seasonally adjusted, Education and health services employment in June 2026, preliminary and not seasonally adjusted, and Trade, transportation, and utilities employment in June 2026, preliminary and not seasonally adjusted
Publisher
U.S. Bureau of Labor Statistics
Data period
June 2026 preliminary labor-force and nonfarm-employment data
Scope
El Paso, TX metropolitan statistical area
Locator
Economy at a Glance table, June 2026 rows
Source tier
Tier 1 · government
Accessed
August 7, 2026
7
County Employment and Wages in Texas — Fourth Quarter 2025
Used for: Covered establishments in El Paso County in fourth quarter 2025, Covered employment in El Paso County in December 2025, and Average weekly wage in El Paso County in fourth quarter 2025
Publisher
U.S. Bureau of Labor Statistics
Published
June 11, 2026
Data period
Fourth quarter 2025
Scope
El Paso County, Texas with Texas and U.S. comparisons
Locator
Table 1, El Paso row
Source tier
Tier 1 · government
Accessed
August 7, 2026
8
Occupational Employment and Wages in El Paso — May 2024
Used for: Mean hourly wage across all occupations in May 2024 and Selected overlapping frontline occupational-group mean wages in May 2024
Publisher
U.S. Bureau of Labor Statistics
Published
June 17, 2025
Data period
May 2024 OEWS
Scope
El Paso, TX metropolitan statistical area
Locator
Release summary and Table 1
Source tier
Tier 1 · government
Accessed
August 7, 2026
9
UTEP Enrollment Surpasses 26,000 for First Time in History
Used for: UTEP official Fall 2025 enrollment
Publisher
The University of Texas at El Paso
Published
September 11, 2025
Data period
Fall 2025 official census enrollment
Scope
University of Texas at El Paso
Locator
Official Fall 2025 census count
Source tier
Tier 1 · public institution
Accessed
August 7, 2026
10
My Fort Bliss
Used for: Fort Bliss cantonment area is within El Paso city limits
Publisher
U.S. Army Fort Bliss
Data period
Current installation description accessed August 2026
Scope
Fort Bliss and El Paso, Texas
Locator
Installation geography and community description
Source tier
Tier 1 · government
Accessed
August 7, 2026
11
El Paso Industrial Figures Q2 2026
Used for: El Paso industrial market activity in second quarter 2026
Publisher
CBRE
Published
July 7, 2026
Data period
Second quarter 2026
Scope
El Paso industrial market
Locator
Quarter summary: absorption, vacancy direction, construction, deliveries, transaction-size mix
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
12
Shallow-Bay Industrial Availability Remains Tight Amid Strong Demand
Used for: Comparative national shallow-bay supply context: demand for buildings under 50,000 square feet is outstripping available supply in analyzed major U.S. markets
Publisher
CBRE
Published
March 24, 2026
Data period
National shallow-bay industrial analysis through 2025
Scope
Major U.S. industrial markets; comparative context only
Locator
Shallow-bay definition and availability comparison with overall industrial space
Source tier
Tier 3 · credible industry
Accessed
August 7, 2026
13
El Paso District west area project, maintenance closures
Used for: West El Paso-area continuous and recurring project closures during summer 2026
Publisher
Texas Department of Transportation
Published
July 2, 2026
Data period
July 2026 closures with some continuous closures through August 2026 or further notice
Scope
West and central El Paso-area state highway corridors
Locator
Artcraft, Borderland Expressway, Loop 375, BU-54A, I-10 and related project closures
Source tier
Tier 1 · government
Accessed
August 7, 2026
14
El Paso District east area project, maintenance closures
Used for: East El Paso-area continuous project closures extending through late 2026
Publisher
Texas Department of Transportation
Published
July 10, 2026
Data period
July 2026 notices with continuous closures through December 2026 or further notice
Scope
East El Paso-area state highway corridors
Locator
Sergeant Major, Montana Widening, Purple Heart 375 and related continuous closures
Source tier
Tier 1 · government
Accessed
August 7, 2026
15
Capital Improvement — Solicitations
Used for: City of El Paso was actively issuing 2026 capital-improvement professional-services solicitations at the time of research
Publisher
City of El Paso
Data period
Current solicitations accessed August 2026
Scope
City of El Paso capital-improvement procurement
Locator
2026 RFQ listings and upcoming solicitations
Source tier
Tier 1 · government
Accessed
August 7, 2026
16
Request for Statements of Qualifications 2026-0427R — On-Call Professional Services, Surveying
Used for: Example City of El Paso professional-services RFQ schedule from issuance to target council approval
Publisher
City of El Paso
Published
June 4, 2026
Data period
June-August 2026 procurement schedule
Scope
City of El Paso procurement
Locator
Solicitation schedule from issue through council approval target
Source tier
Tier 1 · government
Accessed
August 7, 2026
17
El Paso Code of Ordinances, Title 20 — Planned Industrial (P-I) supplemental regulations
Used for: P-I Planned Industrial district imposes enclosed-building and screened-storage conditions
Publisher
City of El Paso via Municode Library
Data period
Current codified ordinance text accessed August 2026
Scope
Properties in the City of El Paso zoned P-I Planned Industrial
Locator
Section 20.10 supplemental use regulations, Planned Industrial provisions
Source tier
Tier 1 · government
Accessed
August 7, 2026
18
El Paso Code of Ordinances, Chapter 20.14 — Off-Street Parking, Loading and Storage Standards
Used for: City outdoor-storage standards apply to specified vehicles, wheeled units, materials, equipment and merchandise, with surfacing and screening requirements for covered uses
Publisher
City of El Paso via Municode Library
Data period
Current codified ordinance text accessed August 2026
Scope
City of El Paso outdoor-storage uses subject to Title 20
Locator
Sections 20.14.200 and 20.14.210
Source tier
Tier 1 · government
Accessed
August 7, 2026
19
Planning & Inspections — Forms & Docs
Used for: City Planning & Inspections publishes sign permit, comprehensive sign plan, contractor registration, zoning and development applications
Publisher
City of El Paso
Data period
Current forms and permitting resources accessed August 2026
Scope
City of El Paso
Locator
Sign permit, comprehensive sign plan, contractor registration, zoning, subdivision and development forms
Source tier
Tier 1 · government
Accessed
August 7, 2026
20
FY 2026-27 EPWater Budget Process
Used for: El Paso Water Public Service Board approved FY 2026-27 water, wastewater and stormwater budgets on January 14, 2026; the budget notice states stormwater fees will not increase
Publisher
El Paso Water
Published
January 14, 2026
Data period
Fiscal year 2026-2027 approved budgets
Scope
El Paso Water service area
Locator
Budget approval notice and budget documents
Source tier
Tier 1 · government
Accessed
August 7, 2026

Before contacting a franchisor

Complete the next layer of due diligence

Confirm the exact protected territory and neighboring units.
Review the current Franchise Disclosure Document.
Validate local staffing, licensing, insurance, and service-base assumptions.
Obtain location, vehicle, buildout, or working-capital estimates.
Speak with current and former franchisees.
Build a candidate-specific financial scenario.

Apply the analysis to your situation

Review how these market findings apply to your budget, role, and proposed territory.

The city score does not include your experience, capital structure, time commitment, financing, or exact territory.

Request a private franchise review

View methodology View source registry

Disclaimer and broker disclosure: This analysis is informational and does not constitute financial, legal, accounting, or investment advice. Market-alignment scores do not predict financial performance or business success. Offers are made only through the delivery of a Franchise Disclosure Document. We may receive referral compensation from participating franchisors; compensation is not an input to the scoring model.

Best Franchise Opportunities We Assessed in El Paso, Texas

Why these concepts were evaluated

What stood out in our assessment

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

Referral ecosystem

Concepts helped most

Best franchise categories we assessed in El Paso, Texas

Best Restoration franchise opportunities we assessed in El Paso, Texas

Explore the complete score calculations

City Wide

Full score ledger

Evidence confidence

Most important next check

ActionCOACH

Full score ledger

Evidence confidence

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Jan-Pro International

Full score ledger

Evidence confidence

Most important next check

FASTSIGNS

Full score ledger

Evidence confidence

Most important next check

HomeSmiles

Full score ledger

Evidence confidence

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ZOOM DRAIN

Full score ledger

Evidence confidence

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Aire Serv

Full score ledger

Evidence confidence

Most important next check

Mr. Rooter

Full score ledger

Evidence confidence

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Pillar To Post Home Inspectors

Full score ledger

Evidence confidence

Most important next check

Rainbow International Restoration

Full score ledger

Evidence confidence

Most important next check

Tiger Adjusters

Full score ledger

Evidence confidence

Most important next check

PuroClean

Full score ledger

Evidence confidence

Most important next check

Mister Sparky Electric

Full score ledger

Evidence confidence

Most important next check

Workout Anytime

Full score ledger

Evidence confidence

Most important next check

The 32 local metrics behind this analysis

What the model can and cannot establish

How the local-alignment ranking is calculated

Measure the city

Profile each operating model