THE CASE OF VSTERNORRLANDS COUNTY NORBA/NS-RSA-Conference, Oslo, - - PowerPoint PPT Presentation

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THE CASE OF VSTERNORRLANDS COUNTY NORBA/NS-RSA-Conference, Oslo, - - PowerPoint PPT Presentation

YOUNG WOMEN ON THE RUN A SNAPSHOT FROM RURAL SWEDEN THE CASE OF VSTERNORRLANDS COUNTY NORBA/NS-RSA-Conference, Oslo, March 14-15 20102 Mats Johansson & Daniel Rauhut Royal Institute of Technology (KTH), Division of Urban and


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YOUNG WOMEN ON THE RUN – A SNAPSHOT FROM RURAL SWEDEN THE CASE OF VÄSTERNORRLAND’S COUNTY NORBA/NS-RSA-Conference, Oslo, March 14-15 20102 Mats Johansson & Daniel Rauhut Royal Institute of Technology (KTH), Division of Urban and Regional Studies Stockholm WORK IN PROGRESS

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Formalities

SEMIGRA (Selective Migration and unbalanced Sex Ratio in Rural Regions) is an ESPON priority 2-project. Stakeholders and case studies: Region Sachsen-Anhalt (lead stakeholder), GE Region Västernorrland, SE Region Kainuu, FI Region Alföld, HU Region Magyarország, HU Lead partner: IFL, Leibniz Institute for Regional Geography, Leipzig This paper has been financed by the ESPON targeted analysis project SEMIGRA - Selective Migration and Unbalanced Sex Ratio in Rural Regions and does not necessarily reflect the opinion of the members of the ESPON Monitoring Committee.

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Västernorrland in Europe

Örnsköldsvik Sollefteå Kramfors Härnösand Timrå Sundsvall Ånge

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Population – a necessary factor for economic and social activities

Point of departure: the demographic equation Population development=natural population change+net-migration The agricultural society: natural population change dominated (exceptions; the emigration waves) The industrial society: Urban population change – both natural population growth and net in-migration Rural population change – natural population growth but net out-migration The post-industrial societies: Migration the prime driver behind regional population changes Out-migration (and natural) + low fertility  eroding reproduction potentials Migratory movements: indications of expanding and retarding regions

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5 10 15 20 25 30

Long-distance internal migration intensities 1961-2008, per thosusand

24 counties

21 counties Industrial society “The Green Wave” Bad times, crisis years Post-industrial society Crisis years Young people Immigrants, refugees Background: Long-distance migration in Sweden 1961-2008, per thousand

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Agespecific migration intensities 1970, 1983 , 1994 and 2008

20 40 60 80 100 120 7 14 21 28 35 42 49 56 63 70 77 84 91 98

Age Pe r th

  • u

sa nd

1970: Good times rural exodus Green Wave Crisis 1994: Crisis, turbulence 2008: financial and economic crisis

Long-distance age-specific migration intensities, per thousand 1970, 1983 , 1994 and 2008

20 40 60 80 100 120 7 14 21 28 35 42 49 56 63 70 77 84 91 98

Age

1970: Good times rural exodus 1983: End ofGreen Wave Crisis 1994: Crisis, turbulence 2008: financial and economic crisis

The dominance of the young people has been reinforced! Younger women more active over time Family migration as highest 1970!

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Background: Population development 1968-2010 in Sweden (SE), Stockholm (AB) and Västernorrland’s (Y) counties.

20 40 60 80 100 120 140 160 1968 1972 1976 1980 1984 1988 1992 1996 2000 2004 2008 2010 Index = 100, 1968 SE men SE women AB men AbB women Y men Y women

The gap has increased Fastest development – men in Stockholm. Female-freindly labour market? The urban lifestyle? Worst development – men in Västernorrland. Labour market conditions? Deindustrialization, jobless growth? In- and out-migration in the differing regions? Out-migration of young women – eroding reproduction potentials (in combination with low fertiltiy, TFRs)

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Labour market problems: Unemployment, young adults 1996-2010, both sexes

Highest 1996/97 – crisis years Men in Västernorrland highest all years, ”male-unfriendly” labour market, jobless growth Women in Stockholm – lowest all years ”female-friendly ”labour market, high share in service production

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Labour market problems: Young adults in labour market schemes, both sexes

Sharp rise 1999/2000 – young adults probems on the labour market, espc in Västernorrland, Policy changes! Increased segmentation despite ”good times”? Regional polarization? Where to go?

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Average age of population 1998 and 2010, both sexes, SE, AB and Y

The average age is highest in Västernorrland. It has increased more than for Sweden and Stockholm. Reason – out-migration? Weak reproduction potential – no women, no children!

Västernorrland in a weak position with regard to economic, labour market and demographic structure and development – both for men and women

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Västernorrland, in- and out migration intensities, both sexes 18-34years

2 4 6 8 10 12 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

%

Y m in Y m out Y w in Y w out

Highest every year – outmigrating women Result – net-outmigration Lowest every year – in-migrating men Result – net-outmigration for both sexes

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Shares (%) of females in the in- and out-migration flows for AB- and Y-counties 2000-2010. Ages 18-34.

Women are more mobile (over 50 % of the streams almost every year): Stockholm – higher share of women in out-mig than in in-mig (return migrants?) Västernorrland – higher share of women in in-mig than in out-mig (return migrants?) Be care: The numbers are of various size!

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Migration intensities, women 18-34 years, AB- and Y-counties

2 4 6 8 10 12 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

%

ABin ABout Yin Yout

The migration intensities for Västernorrland are higher than for Stockholm! The big difference is net-outmigration in Västernorrland and net-inmigration in Stockholm The turnover of people is high in Västernorrland (high in and out) and low in Stockholm (low in and out). Connection to the business cycles? To refugee immigration?

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Migration intensities, women 18-24 years AB- and Y-counties

2 4 6 8 10 12 14 16 18 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

%

ABin ABout Yin Yout

Västernorrland: High in-migration but even higher

  • ut-migration – net out-migration.

Both intensities are higher than Stockholm’s. But: the large gap in Västernorrland explains the net out-migration for the whole population!

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Migration intensities, women 25-29 years, AB- and Y-counties

2 4 6 8 10 12 14 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

%

ABin ABout Yin Yout

Compared to 18-24 – in-migration is lower than for Stockholm but higher than out-migration. Hopefully! Result – positive net-migration for ages 25 and over. But can’t compensate for the huge out-migration in the ages 18-24!

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Migration intensities, women 30-34 years, AB- and Y-counties

1 2 3 4 5 6 7 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

%

ABin ABout Yin Yout

The same pattern as for the age group 25-29 but at lower levels. Large gap between in-mig and out-mig for Västernorrland. But can’t compensate for the huge out-migration gap in the ages 18-24! (Hopefully – impact on the migration strategies?)

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Summing-up: Young women on the run – myth or reality?

  • High in-migration in both cases – in metropolitan Stockholm as well as in the ”rural”

and sparsely populated industrial Västernorrland!

  • A big difference is the high turnover in Västernorrland. In-migration creates out-

migration? Or out-migration creates in-migration some years later?

  • Young women have a higher turnover than men in Västernorrland – especially

concerning out-migration

  • Out-migration creates eroding reproduction potentials
  • The problem is more the high out-migration than low in-migration (that is at the same

level as for Stockholm)

  • For Västernorrland – the most problematic point is the high out-migration among the

youngest women (18-24 years)

  • Reality: huge out-migration in the ages 18-24. Result – net out-migration of younger

women (18-24)

  • Myth: in-migration in the ages 25 and over. Result – in-migration in the family creating

ages, positive for natural population change (increasing reproduction potentials) Recommendation – stimulate in-migration in the ages 25 and over. Income spin-offs? Increasing reproduction potentials. Precondition: female-friendly diversified labour markets, no “macho” image, good schools, good communications, etc. Important for recruitment of well educated young women (return after studies).

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Thanks for listening and

“don’t worry, be happy” wherever you live