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FEDERAL RESERVE BANK OF SAN FRANCISCO E C O NO MIC R ESEAR CH INDICATORS AND DATA Wage Rigidity Meter The statistics on this page offer a closer examination of the annual wage changes of U.S. workers that have not changed jobs over the year. They include graphs of the fraction of workers receiving a wage change of zero in several demographic subgroups of the U.S. labor force, as well as a histogram showing all of the reported wage changes among these workers in the last four quarters. The data for these statistics are drawn from a matched Current Population Survey dataset (see Daly, Hobijn, Wiles 2011 for details on the matching procedure). The Current Population Survey is a monthly nationally representative survey conducted by the Bureau of Labor Statistics. The summary statistics on this page will be updated on a quarterly frequency. The above chart displays the percentage of workers who saw no change in their wage over the past year. This statistic is calculated for all workers, for workers paid at an hourly rate, and for non-hourly workers. Estimates of the percent of workers with a rigid wage in time series charts are averages of monthly rates taken over a 12-month period. In the histogram and the table below, all observations over a 12-month period are pooled and then used to calculate the percent of rigid wages. Estimates from these two methods may differ very slightly. The above chart displays the percentage of workers with various levels of educational attainment who saw no change in their wage over the past year. Estimates of the percent of workers with a rigid wage in time series charts are averages of monthly rates taken over a 12-month period. In the histogram and the table below, all observations over a 12-month period are pooled and then used to calculate the percent of rigid wages. Estimates from these two methods may differ very slightly. The above chart displays the percentage of workers in the construction, finance, and manufacturing industries who saw no change in their wage over the past year. Estimates of the percent of workers with a rigid wage in time series charts are averages of monthly rates taken over a 12-month period. In the histogram and the table below, all observations over a 12-month period are pooled and then used to calculate the percent of rigid wages. Estimates from these two methods may differ very slightly. Displayed is a histogram of reported wage changes over the past year for U.S. workers that have not changed jobs throughout the year. This histogram is overlaid with a normal distribution centered at the median reported wage change. Estimates of the percent of workers with a rigid wage in time series charts are averages of monthly rates taken over a 12-month period. In the histogram and the table below, all observations over a 12-month period are pooled and then used to calculate the percent of rigid wages. Estimates from these two methods may differ very slightly. Distribution of Nominal Wage Changes Difference of log wage from one year prior 25th Percentile 2018Q4: -0.002 2019Q1: -0.008 2019Q2: -0.004 2019Q3: -0.005 2019Q4: -0.008 Median 2018Q4: 0.034 2019Q1: 0.034 2019Q2: 0.036 2019Q3: 0.034 2019Q4: 0.033 75th Percentile 2018Q4: 0.119 2019Q1: 0.123 2019Q2: 0.125 2019Q3: 0.125 2019Q4: 0.125 Percentage of workers reporting a wage change of zero 2018Q4: 13.94 2019Q1: 13.30 2019Q2: 13.19 2019Q3: 13.43 2019Q4: 13.44 References Daly, Mary C., Bart Hobijn, and Brian Lucking. 2012. Why Has Wage Growth Stayed Strong? FRBSF Economic Letter 2012-11 (April 2). Daly, Mary C., Bart Hobijn, and Theodore S. Wiles. 2011. Dissecting Aggregate Real Wage Fluctuations: Individual Wage Growth and the Composition Effect FRBSF Working Paper 2011-23. Nominal Wage Rigidity Data Release (Excel document, 68 kb) Find out when data are updated through our Twitter page: Twitter for SF Fed Contact Amber.Flaharty (at) sf.frb.org