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Table 9 Female characteristics and gender differences, by region and sector

From: Measuring links between labor monopsony and the gender pay gap in Brazil

  Age 20–29 High school/ Prof./mgr./ Potential Firm no. Firm %
   college tech. a experience (years) workers white
     Female (Mean)   collar
All 0.25 0.55 0.54 19.77 5.40 0.68
Midwest 0.25 0.50 0.58 19.81 5.60 0.72
North 0.23 0.61 0.64 19.81 5.86 0.75
Northeast 0.22 0.61 0.60 20.08 5.62 0.72
Southeast 0.26 0.55 0.52 19.56 5.39 0.68
South 0.25 0.48 0.50 20.05 5.00 0.63
All industry 0.30 0.30 0.20 20.54 4.47 0.27
Construction 0.29 0.54 0.46 19.36 4.53 0.39
Retail trade 0.40 0.50 0.57 17.55 2.49 0.72
Wholesale trade 0.35 0.56 0.54 17.70 3.19 0.68
Finance 0.23 0.92 0.73 16.59 4.17 0.99
Real estate 0.35 0.58 0.44 18.02 4.25 0.72
Transport 0.28 0.62 0.40 18.79 5.03 0.68
Hotel and service 0.26 0.33 0.28 21.38 3.93 0.66
Medical 0.25 0.60 0.58 19.11 4.53 0.86
Education 0.24 0.80 0.74 17.27 4.42 0.88
Pub. admin. 0.13 0.70 0.79 20.70 8.55 0.82
Agriculture 0.24 0.10 0.09 25.38 3.65 0.14
  1. Source: Brazilian RAIS, 2001. N=2,169,365
  2. aProf./mgr./tech. indicates the differences in rates of workers holding a professional, managerial, technical, or supervisory occupation
  3. Employed, formal-sector workers, ages 20–49 years