TABLE 4: Quits estimated rate and level changes between February 2020 and March 2020, and test of significance, seasonally adjusted Rates Levels (in thousands) ===== ===================== Estimated Minimum Pass test of Estimated Minimum Pass test of over-the-month significant significance over-the-month significant significance Industry and region change change* change change* Total nonfarm -0.5 0.1 YES -654 158 YES INDUSTRY Total private -0.5 0.1 YES -640 157 YES Mining and logging -0.3 0.7 -2 5 Construction -0.3 0.5 -23 31 Manufacturing -0.3 0.2 YES -41 23 YES Durable goods -0.2 0.2 -22 16 YES Nondurable goods -0.4 0.3 YES -18 15 YES Trade, transportation, and utilities -0.7 0.3 YES -191 70 YES Wholesale trade -0.3 0.4 -18 24 Retail trade -0.9 0.4 YES -137 60 YES Transportation, warehousing, and utilities -0.6 0.4 YES -36 22 YES Information -0.4 0.4 -12 12 Financial activities -0.3 0.3 -23 27 Finance and insurance -0.2 0.4 -13 22 Real estate and rental and leasing (1) -0.5 0.6 -10 12 Professional and business services -0.2 0.4 -54 64 Education and health services -0.2 0.2 -52 40 YES Educational services -0.2 0.3 -8 10 Health care and social assistance -0.2 0.2 -44 38 YES Leisure and hospitality -1.0 0.4 YES -170 64 YES Arts, entertainment, and recreation -1.0 0.7 YES -26 16 YES Accommodation and food services -0.9 0.5 YES -145 62 YES Other services -1.2 0.7 YES -72 41 YES Government 0.0 0.1 -14 17 Federal -0.1 0.1 -1 3 State and local -0.1 0.1 -13 17 State and local education -0.1 0.1 -8 11 State and local, excluding education -0.1 0.1 -4 12 REGION Northeast -0.4 0.2 YES -93 54 YES South -0.4 0.2 YES -256 100 YES Midwest -0.4 0.2 YES -129 70 YES West -0.5 0.2 YES -176 75 YES (1) No regular seasonal movements could be identified in this series, therefore, the seasonally adjusted and not seasonally adjusted data are identical. SOURCE: Bureau of Labor Statistics, Job Openings and Labor Turnover Survey, May 15, 2020. *NOTE: Significant over-the-month changes are calculated at a 90-percent confidence level. The median standard error is used in testing the over-the-month change.