Quality of Life - Income Equity
Income Equity (90th-to-10th percentile wage ratio)
4.21
10th percentile hourly wage (2018)
$10.69
$10.69
90th percentile hourly wage (2018)
$44.98
$44.98
50th percentile hourly wage (2018)
18.87
18.87
Why do we track this? Sharing average or median wages tell only a part of the prosperity story for an area. An important component of economic prosperity is whether or not prosperity is shared among workers. Questions to ask include: are wages increasing for all workers over time? Is this increase shared equally at different wage levels? do disparities in wage levels reflect changes in the nature of the types of jobs in a region? Income Equity was a recommended metric for the from the 2017 Talent 2.0 Regional Workforce Strategy.
What are some limitations of this metric's source? All measurements of income equity generally have some issues.
This measure doesn't indicate why income equity may be decreasing (or increasing). Changes may be structural due to shifts in industry share in the economy, or they could be related to different rates of wage growth between various types of workers.
This measurement only includes wage-related income.
Why did we use this source? Bureau of Labor Statistics Occupational Employment Survey data are available for all MSAs and states. "Earnings" estimated by this program are similar to "wages", but the earnings data comes from payroll records, so it incorporates shift differentials and regularly paid bonuses that some employees expect to typically find in their paycheck. The BLS program uses three years of data to create a single year estimate. They inflation adjust older data, but do not correct it for changes in minimum wages. This is why some Colorado estimates appear lower than the state legal minimum wage. We do not adjust these numbers to true Colorado minimums; we want the data to remain comparable with all regions covered in the OES programs. This measurement allows us to only look at earnings related income, as opposed to sources that incorporate other sources of income at the individual or household level.
Why did we use this source? Bureau of Labor Statistics Occupational Employment Survey data are available for all MSAs and states. "Earnings" estimated by this program are similar to "wages", but the earnings data comes from payroll records, so it incorporates shift differentials and regularly paid bonuses that some employees expect to typically find in their paycheck. The BLS program uses three years of data to create a single year estimate. They inflation adjust older data, but do not correct it for changes in minimum wages. This is why some Colorado estimates appear lower than the state legal minimum wage. We do not adjust these numbers to true Colorado minimums; we want the data to remain comparable with all regions covered in the OES programs. This measurement allows us to only look at earnings related income, as opposed to sources that incorporate other sources of income at the individual or household level.
Data Source
Related Dashboard Measures
- % of Jobs with Family Sustaining Potential (Economy)
- Average Weekly Wage (Business Vitality)
- % of Household Income Spent on Housing + Transportation (Quality of Life)
- Cost of Child Care (Quality of Life)
- Median Household Income (Vital Stats)
- Poverty Rate (Quality of Life)
Additional Information and Other Data Sources
- Talent 2.0 Regional Workforce Strategy
- U.S. Census Bureau American Community Survey GINI Index. Table B19083
- What are percentile wages?U.S. BLS Fact sheet.
- What Income Inequality Measures Can (and Cannot) Tell Us Economic Brief, The Federal Reserve Bank of Richmond. November 2008.