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Salary data from BLS Occupational Employment and Wage Statistics

Data Entry Keyers Salary: Indiana vs Rhode Island

Data Entry Keyers earn a median of $39,800 in Indiana and $46,290 in Rhode Island. That is a nominal gap of $6,490 (-14.0%), with Rhode Island 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.

$39,800
Indiana median
$42,645 after COL
$46,290
Rhode Island median
$45,258 after COL
-14.0%
Nominal gap
Rhode Island leads
-5.8%
Adjusted gap
Rhode Island leads after COL

The story behind the numbers

On raw wages, Rhode Island pays $6,490 more per year than Indiana for data entry keyers, a gap of +14.0%.

After adjusting for cost of living, Rhode Island still comes out ahead, with roughly $2,613 of extra purchasing power (+5.8% real gap). Local prices do not reverse the nominal advantage.

Full breakdown by location

Detailed wage, employment, and cost-of-living figures for data entry keyers in each location. Click through to the full local salary page for percentiles, outlook, and peer areas.

Data Entry Keyers

Indiana

Median salary
$39,800
Mean salary
$40,770
Employment
2,690
Location quotient
0.96
Jobs per 1,000
0.8
COL-adjusted median
$42,645
Regional Price Parity
93.3%

Exact state RPP match.

Full Data Entry Keyers page for Indiana →

Data Entry Keyers

Rhode Island

Median salary
$46,290
Mean salary
$46,990
Employment
290
Location quotient
0.67
Jobs per 1,000
0.6
COL-adjusted median
$45,258
Regional Price Parity
102.3%

Exact state RPP match.

Full Data Entry Keyers page for Rhode Island →

Related pages

Keep digging into data entry keyers 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 state specializes in.