Statistical Assistants Salary: San Juan-Bayamon-Caguas, PR vs Los Angeles-Long Beach-Anaheim, CA
Statistical Assistants earn a median of $28,670 in San Juan-Bayamon-Caguas, PR and $69,410 in Los Angeles-Long Beach-Anaheim, CA. That is a nominal gap of $40,740 (-58.7%), with Los Angeles-Long Beach-Anaheim, CA paying more before any cost-of-living adjustment.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics survey, May 2024 estimates. Cost-of-living adjustment uses BEA Regional Price Parities, most recent release.
The story behind the numbers
On raw wages, Los Angeles-Long Beach-Anaheim, CA pays $40,740 more per year than San Juan-Bayamon-Caguas, PR for statistical assistants, a gap of +58.7%.
Cost-of-living data is not available for one or both locations, so we cannot show a purchasing-power view of this comparison. The nominal wage numbers above still reflect real paychecks in each area.
Full breakdown by location
Detailed wage, employment, and cost-of-living figures for statistical assistants in each location. Click through to the full local salary page for percentiles, outlook, and peer areas.
Statistical Assistants
San Juan-Bayamon-Caguas, PR
- Median salary
- $28,670
- Mean salary
- $30,150
- Employment
- 180
- Location quotient
- 6.97
- Jobs per 1,000
- 0.3
- COL-adjusted median
- N/A
- Regional Price Parity
- N/A
Full Statistical Assistants page for San Juan-Bayamon-Caguas, PR →
Statistical Assistants
Los Angeles-Long Beach-Anaheim, CA
- Median salary
- $69,410
- Mean salary
- $70,370
- Employment
- 70
- Location quotient
- 0.31
- Jobs per 1,000
- 0.0
- COL-adjusted median
- $61,119
- Regional Price Parity
- 113.6%
Exact metro RPP match.
Full Statistical Assistants page for Los Angeles-Long Beach-Anaheim, CA →
Related pages
Keep digging into statistical assistants from a different angle.
Common questions about this comparison
What does the cost-of-living adjustment actually do? +
It divides each location's nominal median wage by its Regional Price Parity (RPP), which measures how local prices compare to the national average (100 = national). A wage of $100,000 in an area with RPP 120 has the same purchasing power as roughly $83,000 nationally.
Why would the nominal and adjusted winners disagree? +
High-cost metros often pay higher salaries, but not by enough to fully offset the higher cost of housing, goods, and services. When that happens, the location with the lower nominal wage actually offers more real purchasing power.
What is a location quotient? +
The location quotient measures how concentrated an occupation is in a given area versus the national average. A value of 2.0 means the occupation is twice as common there as nationally. It is a signal of what a metro specializes in.