Statistics Canada Statistics Canada Statistique Canada Statistique Canada Disseminating gender statistics: The Canadian experience Heather Dryburgh, Ph.D.

Statistics CanadaStatistics Canada Statistique CanadaStatistique Canada

Disseminating gender statistics: The Canadian experience

Heather Dryburgh, Ph.D.Statistics Canada


Outline

• Background • Dissemination projects for diverse data

users– Statistical tables– Access to microdata– Analytic papers

• Recent initiatives:– Gender and work database– Women and the Information Society

• Conclusions


Canadian Context

• Commitment to gender equality – equality of treatment and outcomes

• Legal framework – 1985 Canadian Charter of Rights and Freedoms

• Beijing 1995 and Federal Plan for Gender Equality

• Gender-Based Analysis


STC’s mandate

• Statistics Act: “to collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and condition of the people”

• Quality Assurance:– Relevance, Accuracy,– Timeliness, Accessibility– Interpretability, Coherence


Producing gender statistics

• Tailored to the audience– Level of expertise– Policy needs– Ease of access

• User/Producer dialogue– Importance of consultation– An example from the General Social

Survey


Dissemination of gender statistics

The Daily, STC’s Internet release journal (www.statcan.ca)

• Statistical tables– Canadian Statistics (free)– CANSIM II (small charge)

• Finding Data on Women: A Guide to Major Data Sources at Statistics Canada.



• Access to microdata

• Issues:– Privacy Act– Confidentiality of information

• Dissemination– Research Data Centres– Public Use Microdata files– Data Liberation Initiative



• Analytic papers– Complexity determined by the

audience– Flagship journals– Analytic papers and contributions to

scholarly journals• Occasional special publications

– Women in Canada• Conference participation

– Statistics Canada’s annual Socio-economic Conference


New innovations in disseminating gender statistics:

The Gender and Work Database

andWomen in the Information

Society


the gender and work database


Developing a “meta-level tool”

York University, Statistics Canada, plus many other partners

• noted absences or gaps in the existing, publicly available data - devising new ways of accessing this data

• identified and created relationships between variables not already considered by STC or in the existing literature

• involved experts in the field for multi-dimensional tables as well as key concepts and resources

• develop ways to link social science knowledge to methods of dissemination


combines original scholarship with

data tables

provides users with the tools to move

between data sources

offers multiple pathsinto given subject area

gwd


the modules are:

• comparative perspectives on gender and work

• health care industry

• migration

• precarious employment

• technology

• unions

• unpaid work

the gender and work database


two sides of gwd

statistical component

library component

thesaurus


Using the GWD

• start with conceptual guides• look through the thesaurus for key

concepts• search the library for citations,

analytical papers, and stats tables


obtain basic information

gender & work database

theorize complex social relations

data export and analysis

Possible applications





Data in the gender and work database


Measuring Infostates for Development:Measuring Infostates for Development: Panel discussion on gender-specific data and indicators on ICT use Panel discussion on gender-specific data and indicators on ICT use and needsand needs

Women in the Information SocietyStatistical evidence and analysis of the gender digital divide

Heidi Ertl and Heather Dryburgh, Statistics CanadaNovember 17, 2005Tunis, Tunisia


Project rationale

• Call for reliable and comparable gender-specific indicators on ICTs (WSIS Plan of Action)

• Scarcity of gender-related ICT measurements and analyses– scope of coverage and degree of detail

• Need to quantify gender digital divide

• Aim to launch a publication with the research results at the 2005 World Summit on the Information Society in Tunis

Women in the Information Society


Project objectives

• Construct pilot database– Extensive compilation of sex-disaggregated

statistical data on ICTs and gender

– Dealing with limitations and challenges

• Conduct analysis– Quantitative analysis supported by the database– Analysis of a qualitative nature to begin to

address outcomes and impacts of ICTs for women



Structure of the chapter

• Quantitative analysis - what do the numbers tell us?

– Supported by the database and attempts to close existing measurement gaps

– Contains statistical evidence and analysis of women’s experiences in both developed and developing countries

– Magnitude and evolution of gender digital divide with respect to:

– Access and patterns of use– ICT literacy, education and skills– ICT employment – Other digital divides



• Qualitative analysis

– Take into account information of a qualitative nature related to individual country circumstances, social norms, histories, cultures, etc

– Focus on developing regions of Africa, Latin America and Asia

– Analysis based on established framework of gender issues in ICT



• Elements of the gender digital divide

Do women have:

– Access to ICTs?

– Use of the information and knowledge generated in the Information Society?

– Input into the design, development and application of ICTs?

– The benefits associated with the opportunities and resources of the Information Society?



Conclusions

Approach• User/producer dialogue• Link data to research questions• Data and analytic content in combination

with contextual informationResults in a wide range of products that:• inform gender-based analysis • provide benchmarks for more in-depth

qualitative research • provide the evidence on which policy is

made

Statistics Canada Statistics Canada Statistique Canada Statistique Canada Disseminating gender statistics: The Canadian experience Heather Dryburgh, Ph.D.

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