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Tahere Noori

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The biological differences between women and men, which are ... Unemployment abnd underemployment. Poverty. Gender issues worldwide. Family and household ... – PowerPoint PPT presentation

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Title: Tahere Noori


1
Tahere Noori
  • Gender Statistician
  • Statistics Sweden
  • tahere.noori_at_scb.se

2
Sex
  • The biological differences between women and men,
    which are universal, obvious and generally
    permanent. Sex describes the biological, physical
    and genetic composition with which we are born.

3
Gender
  • Refers to the comparative or differential roles,
    responsibilities and opportunities for women and
    men in a given society.

4
Gender issue
  • A gender issue is any issue or concern determined
    by gender-based and/or sex-based differences
    between women and men.

5
Gender issues
  • Gender issues are all aspects and concerns of how
    women and men interrelate, their differences in
    access to and use of resources, their activities,
    and how they react to changes, interventions, and
    policies.

6
Gender issues worldwide
  • Decision-making
  • Politcal power
  • Economic decision making
  • Economic life
  • Time use in paid and unpaid work
  • Labour force participation
  • Agriculture
  • Occupational segregation
  • Salaries and career opportunities
  • Informal sector
  • Unemployment abnd underemployment
  • Poverty

7
Gender issues worldwide
  • Family and household
  • Household headship
  • Houshold size and composition
  • Fertility
  • Aging
  • Health
  • Life expectancy
  • Diseases
  • Causes of death
  • Reproductive health
  • AIDS

8
Gender issues worldwide
  • Education
  • Illiteracy
  • Drop out
  • Fields of study
  • Adult training
  • teachers
  • Violence and Crime
  • Victims of violence and crime
  • Offenders
  • Forced prostitution and trafficking

9
Gender issues worldwide
  • Laws
  • Environment
  • Access to natural resources
  • Environmental degradation
  • Health threats
  • Special Concerns
  • Migration
  • Refugees

10
Gender Equality
  • "The main point is not the mere existence of
    such differences, but the fact that these
    differences should not have a negative impact on
    the living conditions of both women and men,
    should not discriminate against them and should
    contribute to an equal sharing of power in
    economy, society and policy-making
    processes"Final Report of Activities of the
    Group of Specialists on Mainstreaming (EG-S-MS)

11
What is genderstatistics?
  • Genderstatstics is statstics/indicators which
    describe social changes as well as current
    changes in different policy areas with a
    genderperspective

12
Statistics are needed to
  • Raise consciousness, persuade policymakers and
    promote changes.
  • Provide ideas, provide an unbiased basis for
    policies and measures
  • Monitor and evaluate policies and measures.

13
Indicator
  • Signal that reveals progress (or lack thereof)
    towards objectives means of measuring what
    actually happens against what has been planned in
    terms of quantity, quality and timeliness.
    (Results-oriented Monitoring and Evaluation
    Handbook UNDP)

14
Basic ideas for gender statistics
  • Cross diciplinary thinking
  • Visibility
  • Gender sensitised statisticianas
  • User friendy publications
  • Awareness of gender issues

15
Article 14
  • All variables and characteristics should be
    analysed and presented with sex as a primary and
    overall classification. This, in turn, enables
    all analyses and presentations to be sex
    specifics.
  • All statistics on individuals should be
    collected by sex.
  • All statistics should reflect gender issues.

16
YESTERDAYS APPROACH TODAYS APPROACH
  • Statistics on woman Gender Statistics
  • For whom?
  • Statistics on woman for womans Statistics on
    women and men advocacy all spheres of society
    for all policymakers, planers and
    ordinary people
  • What are the problems?
  • There are no statistics on woman Statistics do
    not reflect gender issues
  • Systematic errors or biases often
    occur in statistics on women and men

17
YESTERDAYS APPROACH TODAYS APPROACH
  • What needs to be done?
  • Statistics have to be collected by sex All
    statistics have to be produced, and statistics
    and indicators and analysed and presented
    by sex have to be calculated, analysed
  • presented for women only and reflect gender
    issues in society
  • The production of gender statistics
    has to be integrated into the entire
    statistical system for
  • Statistics on women have to be
  • - collection
  • - collected - storages
  • - stored in womens databases -
    presentation
  • - presented separately
  • Whose responsibility is it?
  • Womens machinery/organizations Official
    statistical system

18
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19
What is gender mainstreaming
  • "Mainstreaming a gender perspective is the
    process of assessing the implications for women
    and men of any planned action, including
    legislation, policies or programmes, in all areas
    and at all E.1997.L.O. Para.4. Adopted by ECOSOC
    17/7/97

20
Gender mainstreaming in statistics implies
  • Gender sensitised user and producer
    of statistics.
  • A gender sensitive approach in the whole
  • production process of statistics
  • and indicators, including presentation of sex
    aggregated data.
  • A gender perspective in all traditional
    statistical
  • fields as a cross disciplinary
    approach.

21
Demand for gender statistics
  • Ensure that statistics related to individuals
    are collected, compiled, analysed and presented
    by sex and age, and reflect problems, issues and
    questions related to women and men in the
    society. (Paragraph 206 (a)).

22
User friendly presentation
  • Ensure the regular production of a statistical
    publication on gender that presents and
    interprets topical data on women and men in a
    form suitable for a wide range of nontechnical
    users. ( 207 (a))

23
Problems related to gender statistics
  • Underutilization of existing data
  • Biased concepts, definitions and measures
  • Data gaps
  • Poor linkage between users and producer of
    gender statistcs
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