Median Earnings (1yr)
$45,960
66th percentile
Median Debt
$15,292
39% below national median
Debt-to-Earnings
0.33
Manageable
Sample Size
51
Adequate data

Analysis

Cal Poly Pomona's urban planning program achieves something rare: genuinely low debt combined with strong earnings growth. Graduates start at $45,960—just slightly above the national median—but that 41% jump to $64,621 by year four suggests they're gaining valuable skills that employers increasingly reward. The $15,292 median debt ranks in the 95th percentile nationally (meaning only 5% of similar programs leave students with less debt), creating an unusually favorable debt-to-earnings ratio of 0.33. For context, the national median debt for this degree is $25,237.

The state comparison reveals a tradeoff worth understanding. Cal Poly Pomona lands at the 40th percentile among California's five urban planning programs, with Cal Poly San Luis Obispo leading at $47,832. But that $2,000 first-year difference matters far less than the debt picture—especially for families where 46% of students qualify for Pell grants. Lower debt means flexibility to pursue public sector planning roles or community development positions that might pay less initially but align with career goals.

For students committed to this field, the combination of manageable debt and strong mid-career growth makes this program a practical choice. The moderate sample size means outcomes are reasonably stable, and the trajectory suggests graduates are securing positions with real advancement potential rather than hitting an early ceiling.

Where California State Polytechnic University-Pomona Stands

Earnings vs. debt across all city/urban, community and regional planning bachelors's programs nationally

California State Polytechnic University-PomonaOther city/urban, community and regional planning programs

Programs in the upper-left quadrant (high earnings, low debt) offer the best value. Programs in the lower-right quadrant warrant careful consideration.

Earnings Distribution

How California State Polytechnic University-Pomona graduates compare to all programs nationally

California State Polytechnic University-Pomona graduates earn $46k, placing them in the 66th percentile of all city/urban, community and regional planning bachelors programs nationally.

Earnings Over Time

How earnings evolve from 1 year to 4 years after graduation

Earnings trajectories vary significantly. Some programs show strong early returns that plateau; others start lower but accelerate. Consider where you want to be at year 4, not just year 1.

Compare to Similar Programs in California

City/Urban, Community and Regional Planning bachelors's programs at peer institutions in California (5 total in state)

SchoolEarnings (1yr)Earnings (4yr)Median DebtDebt/Earnings
California State Polytechnic University-Pomona$45,960$64,621$15,2920.33
California Polytechnic State University-San Luis Obispo$47,832$71,455$18,1670.38
National Median$44,146—$25,2370.57

Other City/Urban, Community and Regional Planning Programs in California

Compare tuition, earnings, and debt across California schools

SchoolIn-State TuitionEarnings (1yr)Debt
California Polytechnic State University-San Luis Obispo
San Luis Obispo
$11,075$47,832$18,167

About This Data

Source: U.S. Department of Education College Scorecard (October 2025 release)

Population: Graduates who received federal financial aid (Title IV grants or loans). At California State Polytechnic University-Pomona, approximately 46% of students receive Pell grants. Students who did not receive federal aid are not included in these figures.

Earnings: Median earnings from IRS W-2 data for graduates who are employed and not enrolled in further education, measured 1 year after completion. Earnings are pre-tax and include wages, salaries, and self-employment income.

Debt: Median cumulative federal loan debt at graduation. Does not include private loans or Parent PLUS loans borrowed on behalf of students.

Sample Size: Based on 51 graduates with reported earnings and 41 graduates with debt data. Small samples may not be representative.