United States comparison

Software Developer
vs Secondary Teacher

See how pay, opportunity, entry requirements and working life differ.

O*NET 30.3BLS May 20252024–34 outlook

Labour market

United States

Compare Careers

See the trade-offs side by side

Choose two options. The figures update instantly.

A

Technical systems, creative problem-solving

Software Developer

$135,980median annual earnings
OccupationHQ48.2Occupational similarity
B

Teaching, communication and constant variety

Secondary Teacher

$72,040median annual earnings
Higher medianSoftware Developer
More annual openingsSoftware Developer
Lower physical-demand signalSoftware Developer

Exploration tool

What matters to you?

Set what matters most to you.

Fit and similarity scores are experimental OccupationHQ calculations.

Software Developer73/100Based on your priorities
Your current mixSoftware Developer leads by 25

Its strongest weighted advantage here is higher pay.

Secondary Teacher48/100Based on your priorities

Ten-year projections and openings. Market momentum uses the selected country’s available signal and stays neutral when none is available. Entry-path scoring is a transparent editorial band used by this exploration tool, based on the typical education and credential route shown below.

01

At a glance

Money, demand and entry

Software Developer
United States data
Secondary Teacher
A · Software Developer$135,980Median annual earningsB · Secondary Teacher$72,040
A · Software Developer$82,460–$214,670Typical range · P10–P90B · Secondary Teacher$48,780–$107,600trade-off
A · Software Developer1.7MCurrent employmentB · Secondary Teacher1.1M
A · Software Developer15.8%Projected growthB · Secondary Teacher-1.6%
A · Software Developer115.2KAnnual openingsB · Secondary Teacher66.2K
A · Software DeveloperBachelor’s degreeTypical educationB · Secondary TeacherBachelor’s degreetrade-off
A · Software DeveloperNo typical OJTTraining / credentialB · Secondary TeacherCertification variestrade-off

United States figures: BLS OEWS May 2025 and 2024–34 employment projections.

02

Working life

What the work is like

These percentiles describe the work; they do not rate it as good or bad. Select a signal for details. Work signals are native O*NET occupation percentiles.

03

What they share

What these careers have in common

48.2/100

Experimental model similarity

An OccupationHQ calculation across skills, interests, work context and education signals. It is not an official statistic or a measure of transition feasibility.
Skills53.4
Interests50.2
Work context47.9
Education97.5

Software Developer foundations

  • Programming
  • Systems analysis
  • Complex problem-solving

Secondary Teacher foundations

  • Instructing
  • Speaking
  • Learning strategies

What a switch would take

Shared strengths are only part of the move

Licences, apprenticeships, education and missing technical knowledge still matter—even when two options share useful skills.

Explore Careers

Twenty options across six fields

Browse the facts, working life and realistic next steps for each one.

How OccupationHQ works

Facts first.
Calculations explained.

  1. 1
    Official inputs

    Wages and outlook from BLS. Skills, interests and work context from O*NET.

  2. 2
    Experimental comparison model

    Work descriptors become percentiles across covered occupations; model outputs are clearly separated from official inputs.

  3. 3
    Visible trade-offs

    No magic “best career.” You see each factor and decide what matters.