Gender Equality National Report Hungary - European-microfinance ...

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Diagram No. 4: 350000 300000 250000 200000 150000 100000 50000 0 Wage and total income according to gender and type of work Bluecollar Whitecollar Total Bluecollar Whitecollar Total Bluecollar Whitecollar Male Female Total Total Total income (HUF/month) Base wage (HUF/month) In the number of female managers Hungary ranks well (4th among the 27): their share in the number of managers is 37% (an increase of 5% since 2000) according to last year’s data. The average in the Union is 32%. C.) Gender equality in non-traditional work forms Gender difference in forced part-time employment Compared to other European or OECD countries, there is hardly any opportunity for parttime employment in Hungary. Diagram No. 5: Incidence of part-time employment 20 As a percentage of total employment, 2005 or latest available year 40 35 30 25 20 15 10 5 0 Slovak Republic Hungary Czech Republic Turkey Greece Korea Portugal Finland Spain 20 www.oecd.org Stat data Poland United States Sweden France Luxembourg Italy Mexico OECD Total Brazil Denmark Austria EU15 Belgium Canada Ireland Iceland New Zealand Germany United Kingdom Switzerland Norway Japan Australia Netherlands 40
Our lag in part-time employment is graphically illustrated in the above diagram. In Hungary only one in four women works part-time. 3.4.2 Gender equality in the social infrastructure supporting labour market participation a.) Gender equality in the effects of family duties Although the number of households without children is growing in Hungary, today nearly half of the households still have one or more children. One in four families with children has only one parent, which brings with it all its socio-economic consequences. The average age at which women have their children is now higher, more and more women put off having children for their career or economic reasons. There are more families with only one child than there were previously. The total fertility rate has significantly decreased in recent years, in accordance with the increase of the average age at which women have their children. 41
Page 3 and 4: Fostering Gender Equality: Meeting
Page 5 and 6: Executive Summary 1 Women represent
Page 7 and 8: From the beginning the LEA Network
Page 9 and 10: 1. Introduction 1.1. Project Backgr
Page 11 and 12: Gender Equality - This term refers
Page 13 and 14: 3. ScoreCard 3.1. ScoreCard Diagram
Page 15 and 16: A private entrepreneur may only hav
Page 17 and 18: For a new enterprise the Hungarian
Page 19 and 20: programs. In most of the cases the
Page 21 and 22: A recent study examined opinions of
Page 23 and 24: Chart No. 3: Circumstances of start
Page 25 and 26: On September 1st, 2007 the amendmen
Page 27 and 28: In 2006 the county employment centr
Page 29 and 30: a) Chart No. 6: Loans to micro-ente
Page 31 and 32: Chart No.7: Years 1992 1993 1994 19
Page 33 and 34: Equal chances schemes at the workpl
Page 35 and 36: Chart No. 8: Economic participation
Page 37 and 38: In 2003 the proportion of women wit
Page 39: Diagram No. 3: Unemployment rates:
Page 43 and 44: Absence from the labour market due
Page 45 and 46: Providing day care for young childr
Page 47 and 48: women 1 725.70 115.3 1 841.00 42.3
Page 49 and 50: Diagram No. 11: Unemployment rates
Page 51 and 52: oles have been over- and rewritten.
Page 53 and 54: Diagram No. 12: Average annual grow
Page 55 and 56: men.” 35 The long-term full emplo
Page 57 and 58: In the framework of the 2nd Nationa
Page 59 and 60: The e-NIVO program plans to be main
Page 61 and 62: Diagram No. 15: Willingness to invo
Page 63 and 64: The experimental micro-credit progr
Page 65 and 66: The LEA network has developed its i
Page 67 and 68: 4.2. Recommendations Women’s ente
Page 69 and 70: 5. Sources Global Gender Gap Riport
Page 71: 6. Experts and associates who helpe

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