ocity
💰 COL Index: 100 — Near Avg Cost

Salaries in Baytown, TX

Modeled occupation planning estimates with gross-pay and cost-context formulas.

Model generated 2026-02-26 · Methodology reviewed July 16, 2026 · 40 selected occupations

Selected-Role Model Average
$54,416
unweighted modeled medians; not a worker average
Purchasing-Power Model
$54,307
model average ÷ 100.2 × 100
Highest Modeled Role
Software Developer
$127,336
City 1BR Rent Reference
$1,252
monthly context; not a current quote

What does the salary model mean for Baytown?

$54,416 is the unweighted arithmetic average of the modeled medians for these 40 selected occupations. It is not an official mean or median for all local workers.

Model average$54,416/year
Gross monthly equivalent$4,535/month
Household income context$57,421

Keep the measures separate: gross monthly salary is before taxes and deductions; household income can include multiple earners; the selected-role model average is not weighted by local employment.

🏆 Highest Modeled Values in This 40-Role Set

Ranked by modeled annual occupation median. These are planning estimates, not direct local OEWS rows.

🥇 +0% vs national

Software Developer

$127,336
💡 Purchasing-power model $127,082
⏱ Hourly modeled equivalent $61.22/hr
National projected growth +17.0%
Career Guide → Best Cities →
🥈 +0% vs national

Accountant

$86,131
💡 Purchasing-power model $85,959
⏱ Hourly modeled equivalent $41.41/hr
National projected growth +3.0%
Career Guide → Best Cities →
🥉 +0% vs national

Registered Nurse

$86,121
💡 Purchasing-power model $85,949
⏱ Hourly modeled equivalent $41.40/hr
National projected growth +6.0%
Career Guide → Best Cities →
4️⃣ +0% vs national

Elementary School Teacher

$63,708
💡 Purchasing-power model $63,581
⏱ Hourly modeled equivalent $30.63/hr
National projected growth +3.0%
Career Guide → Best Cities →
5️⃣ +0% vs national

Electrician

$61,586
💡 Purchasing-power model $61,463
⏱ Hourly modeled equivalent $29.61/hr
National projected growth +3.0%
Career Guide → Best Cities →

📋 Complete Salary Guide — All 40 Occupations in Baytown

Purchasing-power equivalent = modeled annual median divided by the planning cost index (100.2/100). It does not estimate taxes or take-home pay. This city cost reference is above 100.

Showing all 40 occupations.

#
1 Software Developer $127,336
2 Accountant $86,131
3 Registered Nurse $86,121
4 Elementary School Teacher $63,708
5 Electrician $61,586
6 Real Estate Agent $61,516
7 Heavy Truck Driver $53,121
8 Nail Technician $50,030
9 Cosmetologist $50,030
10 Chef/Head Cook $50,030
11 Personal Trainer $50,030
12 Auto Mechanic $50,030
13 Social Worker $50,030
14 Dental Assistant $50,030
15 Veterinary Technician $50,030
16 Police Officer $50,030
17 Project Manager $50,030
18 Graphic Designer $50,030
19 Dental Hygienist $50,030
20 Plumber $50,030
21 Loan Officer $50,030
22 Insurance Agent $50,030
23 Carpenter $50,030
24 Human Resources Specialist $50,030
25 Physical Therapist $50,030
26 Financial Analyst $50,030
27 Pharmacist $50,030
28 HVAC Technician $50,030
29 Nursing Assistant (CNA) $50,030
30 Firefighter $50,030
31 Construction Manager $50,030
32 Web Developer $50,030
33 Data Analyst $50,030
34 Marketing Manager $50,030
35 Paralegal $50,030
36 Medical Assistant $50,030
37 Welder $50,030
38 Pharmacy Technician $50,030
39 Licensed Practical Nurse (LPN) $50,030
40 Security Guard $36,161

OCity planning estimates. National occupation references are inputs; displayed city values are modeled rather than direct local BLS occupation rows.

Baytown salary model: formulas, sources and limitations

Stored occupation model comparison

modeled estimate ÷ stored national reference = row comparison

On this owner, estimate-to-reference ratios are 0.317×–1.500× across occupations. Ratios can vary by occupation, so this is not described as one citywide multiplier or a direct local OEWS download.

Purchasing-power equivalent

modeled estimate ÷ 100.2 × 100

This comparison does not estimate taxes or take-home pay and is not an official BLS adjustment.

Limitations. “Average” is unweighted across selected occupations. Growth fields are national occupation projections, not local forecasts. City and metro geographies can differ. Repeated stored employment counts are not presented as local jobs.
BLS OEWS methodologyBLS national projectionsCensus/ACS income context

Model generated 2026-02-26; methodology reviewed July 16, 2026.

🏙️ Living Costs in Baytown

🏠
1BR Rent
$1,252/mo
🏡
2BR Rent
$1,565/mo
🏘️
Median Home
$278,000
📉
Unemployment
4.0%
💳
Median Income
$57,421
🎓
College Educated
16%
🚶
Walk Score
35/100
📊
Cost of Living
100
Near Avg Cost
📊 Full Cost of Living Breakdown → 🏠 Real Estate Market →

🧮 Test Your Baytown Budget

Use scenario tools to compare gross pay and city cost context. Results depend on the inputs and do not guarantee take-home pay, housing approval or affordability.

💰 Decode a Job Offer 🔄 Salary Equivalence Calculator 🔍 Career Arbitrage Tool

❓ Baytown Salary FAQ

What does the average salary in Baytown mean on this page?

▼
$54,416 is the unweighted arithmetic average of the modeled medians for 40 selected occupations. It is not an official mean or median for all Baytown workers.

What is the monthly salary estimate in Baytown?

▼
The selected-occupation model average equals about $4,535 per month before taxes and deductions. This gross arithmetic conversion is not take-home pay or household income.

What is a good salary in Baytown?

▼
There is no universal threshold. Household size, current housing quotes, taxes, debt, benefits, transportation and other recurring costs determine fit. The figures here are planning references, not affordability guarantees.

Are these direct local BLS salary observations for Baytown?

▼
No. Each stored city planning estimate is compared with its stored national occupation reference. The estimate-to-reference relationship is 0.317×–1.500× across occupations; it is not represented as one universal city multiplier or a direct local BLS observation.

📝 Planning Takeaways for Baytown

Use the occupation rows to compare modeled gross-pay references, not to predict an offer. Validate the exact role, experience level, employer, benefits and location. Then model taxes and current household costs before making a relocation or career decision.

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