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Table 10-1. Chapter 10 Outline, p. 307 Sex and Gender Gender Inequality Education and Gender Gender in Global Perspective History of Gender Stratification.

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Presentation on theme: "Table 10-1. Chapter 10 Outline, p. 307 Sex and Gender Gender Inequality Education and Gender Gender in Global Perspective History of Gender Stratification."— Presentation transcript:

1 Table 10-1. Chapter 10 Outline, p. 307 Sex and Gender Gender Inequality Education and Gender Gender in Global Perspective History of Gender Stratification Theories of gender Stratification Class and Gender

2 Table 10-2. Female to Male Percent Median Hourly Earnings by Race andEthnicity, 1989-2005 (based on Kerbo, p. 312) 1989199520002005 White F/M70%75% 79% Black F/M86%88%90% Latino F/M83%89%86%90% Asian F/M76%80% 78% All F/M73%77%78%82% All F/M weekly69%71%74%77%

3 Figure 10-1. Women’s and Men’s Median Annual Earnings for Full-time Year-round Workers, 1970-2007 (in 2007 $) source: http://www.census.gov/hhes/www/income/histinc/p36AR.html

4 Figure 10-2. Female to Male Earnings Ratio, 1970-2007 (based on figures from Figure 10-1)

5 Table 10-3. Percent of White and Black, Male and Female Workers in Full-time, Year-Round Employment from 1974- 2004 Year White MalesWhite FemalesBlack MalesBlack Females 200461%40%46%40% 199960%39%56%47% 199457%35%52%40% 198958%34%49%38% 198454%30%44%35% 197955%27%46%30% 197455%28%44%28% Source: U.S. Census Bureau, Historical Income Tables,

6 Figure 10-3. Median Annual Income for Men and Women by Occupation, 2004 (Kerbo, p. 315)

7 Figure 10-4. Median Annual Income for Fulltime, Year- Round Men and Women by Occupation, 2004 (Kerbo, p. 315)

8 Figure 10-5. Gender Gap by Occupation in Median Annual Income for All Workers and for Fulltime, Year-Round Workers, 2004 (Kerbo, p. 315)

9 Figure 10-6. Proportion of All and of Fulltime, Year-Round Women to Men by Occupation, 2004 (Kerbo, p. 315)

10 Table 10-4. United Nations Rankings of Gender Empowerment, 2006 (Kerbo, p. 318) HDI RankEmpowerment rank Empowerment Score % F Congress or Parliament % F Senior Officials F/M Prof-TechF/M Income 1. Norway1.93237.9%29%50%75% 2. Iceland3.86633.3%29%55%71% 3. Australia8.83328.3%37%55%70% 4. Ireland17.75314.2%29%51% 5. Sweden2.88345.3%31%51%81% 6. Canda11.81024.3%36%56%63% 7. Japan42.55710.7%10%46%44% 8. United States12.80815.0%42%55%62% 9. Switzerland14.79724.8%27%46%61% 10. Netherlands7.84434.2%26%48%63% 11. Finland6.85337.5%28%54%71%

11 Table 10-4. United Nations Rankings of Gender Empowerment (Kerbo, p. 318) [continued] HDI RankEmpowerment rank Empowerment Score % F Congress or Parliament % F Senior Officials F/M Prof-TechF/M Income 12. Luxembourg --23.3%--49% 13. Belgium5.85535.7%30%48%63% 14. Austria10.81532.2%28%46%44% 15. Denmark4.86136.9%255273% 16. France--13.9%--64% 17.Italy24.65316.1%21%45%46% 18. U.K.16.75518.5%33%46%65% 19. Spain15.77630.5%32%47%50% 20. New Zealand 13.79732.2%36%52%70% 21. Germany9.81630.5%35%50%58%

12 Table 10-5. State-Mandated Maternity/Childcare Leave by Country (Kerbo, p. 319) CountryMaternity Weeks% of WagesTotal Weeks United States0012 Japan1460%58 Germany14100%162 France16100%162 Italy21.580%64.5 United Kingdom1844%44 Canada1555%50 Australia0052 Belgium1577%67

13 Table 10-5. State-Mandated Maternity/Childcare Leave by Country (Kerbo, p. 319) [continued] CountryMaternity Weeks% of WagesTotal Weeks Denmark30100%82 Finland5270%164 Iceland1470%42 Netherland16100%68 New Zealand0052 Norway42100%116 Portugal24.3100%128.3 Spain16100%164 Sweden6463%85

14 Figure 10-7. Percent College Graduates for Females and Males by Age, 2003 (based on Kerbo, p. 322)

15 Figure 10-8. Percent College Graduates for Black and White Females and Males, 1960-2005 (based on Kerbo, p. 321)

16 Table 10-6.Wright’s Class Categories by Race and Sex (Kerbo, p. 338) ClassWhite MalesWhite FemalesBlack MalesBlack Females Capitalist3.0%0.7%0% Small employer8.2%4.9%0%1.3% Petit Bourgeois6.4%8.8%3.6%0% Tot Self Empl17.6%14.4%3.6%1.3% Expert Mgrs8.5%2.8%5.1%0% Skilled Mgrs5.7%2.4%2.0%0% Unskilled Mgrs2.3%3.9%1.0%6.3% Expert Super4.2%1.7%1.3%1.7% Skilled Super7.9%4.3%7.5%2.0% Unskilled Supr5.0%9.3%4.6%7.7% Experts3.2%3.5%2.9%1.8% Skilled Worker17.4%7.7%23.3%10.9% Unskilled Wkr28.2%50.0%47.7%68.4%

17 Table 10-7. Comparative Data on Males and Females in Management Positions (Kerbo, 340) Top MgrUpper MgrMid MgrLow MgrSupervisorNon Mgr M%F%M%F%M%F%M%F%M%F%M%F% US3.32.84.51.55.73.63.32.220.715.962.474.1 AU3.01.95.92.18.74.12.42.630.329.149.660.1 UK3.90.91.20.28.61.84.91.120.218.461.377.6 CA3.70.95.20.95.43.02.32.018.911.964.681.2 SW1.91.02.30.06.21.74.92.618.811.165.983.7 NR5.00.95.50.95.10.5 0.223.48.360.689.3 JP1.20.04.30.02.80.01.60.037.23.553.096.5


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