Transcript UNECE Gender Statistics Session, 18

Dissemination and Use of Time Use Data
The New Zealand Experience
UNECE Gender Statistics Session
Geneva, 18-20 October
UNECE Gender Statistics Session, 18-20 October
Outline
 Background
 Dissemination strategy
 Indicators
 Uses of data
 Conclusion
UNECE Gender Statistics Session, 18-20 October
Background
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New Zealand’s first national Time Use Survey 1998-99
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Commissioned by Ministry of Women’s Affairs
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to provide information on patterns of time use of New Zealanders
raised awareness of unseen role played by women in families and community
measurement and valuation of unpaid activities – gap in official statistics
Methodology
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8,500 individuals 12 years and over
interviews spread over 12 month period
3 data collection documents
- household questionnaire (ownership of household, availability of appliances etc)
- personal questionnaire (demographic, labour force, education, income etc)
- 48 hour dairy (activities undertaken, simultaneous activities, location of the activity)
72 percent response rate
UNECE Gender Statistics Session, 18-20 October
Dissemination of results
 Media releases
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Key findings
Labour market
Education
Health and welfare
Culture
 50 tables published on website
 Analytical report ‘Around the Clock’
 Inclusion of results in other analytical reports e.g. ‘Older New
Zealanders’
 Customised requests for data
 Unit record data available in Data Laboratory
 Seminars to promote the survey to researchers
UNECE Gender Statistics Session, 18-20 October
Indicators
 Unpaid work
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time spent on unpaid work (e.g. shopping, housework, childcare, working for a
voluntary organisation), whether a primary/simultaneous activity
 Paid work
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actual hours of paid work, work-related travel, work from home, work at nonstandard times
 Total work
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time spent on paid and unpaid work combined, ratio of unpaid to paid work time,
proportion of total time spent on work
 Education
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time spent on formal education, homework, time of day, education-related travel
helping with homework, unpaid work for educational institutions
UNECE Gender Statistics Session, 18-20 October
Indicators
 Welfare and health
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time spent caring for other household members/people in other households, time
spent working unpaid for community organisations
time spent health maintenance/personal care (e.g. sleeping, eating, personal
hygiene), exercising, smoking, leisure activities, receiving health services
 Culture & mass media
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time spent on cultural activities (e.g. visiting museums, art galleries, performing
arts etc), characteristics of individuals
time spent watching television, listening to the radio etc, location, time of day,
whether a primary or secondary activity
UNECE Gender Statistics Session, 18-20 October
Indicators
 Social capital
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time spent volunteering (formal participation), types of association people
volunteer for, characteristics of volunteers
time spent helping others or providing informal care (informal participation)
social time with friends and family
 Transportation
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time spent travelling, reason for travel, mode of travel, times at which people
travel
UNECE Gender Statistics Session, 18-20 October
Uses of time use data
 Valuation of unpaid work
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further the measurements in national accounts
contribution to the economy from unpaid work and production of goods and
services for ones own consumption
experimental work in estimating the value of unpaid household activities
estimated value of unpaid work was 39 percent of GDP
development of household satellite accounts
 Work/life balance
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extent to which NZ has moved to a 24 hour economy
extent to which requirement to work at unsocial times of the day/week are
concentrated amongst particular groups of workers
amount of paid work that is done at workers’ homes
extent to which long hours of paid work mean less time with other family
members
UNECE Gender Statistics Session, 18-20 October
Conclusion
 Time Use Surveys are multi-purpose collection
instruments
 data is relevant to almost every area of government
policymaking
 can enhance understanding of existing statistics, so that
policy development can take place in a more informed
environment
UNECE Gender Statistics Session, 18-20 October