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Engendering the Statistical System in Cambodia. Workshop Day 1 21-23 May 2003 Funded by UNDP-PGE and UN-ESCAP Organized by UNDP-PGE and UNIFEM. UN Resource Team. UNIFEM – Lorraine Corner UNDP-PGE – Elaine McKay UNIFEM Facilitator – Teena Cabbab UN-ESCAP Statistics – Chol O Han
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Engendering the Statistical System in Cambodia Workshop Day 1 21-23 May 2003 Funded by UNDP-PGE and UN-ESCAP Organized by UNDP-PGE and UNIFEM
UN Resource Team • UNIFEM – Lorraine Corner • UNDP-PGE – Elaine McKay • UNIFEM Facilitator – Teena Cabbab • UN-ESCAP Statistics – Chol O Han • UNIFEM MDG Consultant Mia Hyun
Cambodian Resource Team • Ms Sok Chan Chhorvy, Deputy General Director for Technical Affairs, MOWVA • Ms Ky Boreth, Vice Bureau Chief, NIS • Mr Suviddya Hang, Economist, Deputy Director, Planning Dept & Deputy National Technical Director PMATU • Mr Phoumin Han, National Professional, PMATU • Ms Rathmony Meas, Vice Bureau Chief, Economic Statistics Department, NIS • Ms Choy Kim Sor, Director, Planning & Statistics Dept, MOWVA • Ms Kok Kanika, Gender Assistant & Interpreter, Partnership for Gender Equity, MOWVA
What are we doing? • Reviewing concept & role of gender in statistics • Understanding • Gender • Gender in statistics • Gender & statistics for the MDGs • Moving toward engendering the national statistical system as a whole
Who are we? • Staff from NIS – as producers of statistics • Staff from the Sectors – as producers to help engender administrative and sectoral statistics and as users of statistics • Staff from Ministry of Women’s and Veteran’s Affairs – users of statistics • NGOs – users of statistics • UN Together – we can engender the statistical system
We are challenging assumptions • Engendering statistics needs more than sex-disaggregated statistics • Cambodian statistical system is more than NIS • Some important gender issues are hidden by the statistical system • MDGs need to be engendered • Gender-blind data can be used to engender MDG targets & indicators
What happens next? • Gender-responsive monitoring of national MDGs & NPRS • Engendering data collection processes & methods • Socio-Economic Survey • Using existing statistics for Gender-Responsive policy advocacy • Disseminating statistics to new users
Administrative Matters • Schedule • Meals • Breaks • Handouts • Roles
Gender? Gender & Statistics? Gender, Statistics & MDGs? What do you want to know about
Instructions – ExpectationsMeta cards Part 1 • Individually write 1 or 2 ideas per topic 2. Write only 1 idea per card
1. Use meta cards 2. Write only key words 3. Use upper case 4. Letters should be 5 cm high 5. Tape on flip charts 6. Sort the responses as you tape
Gender? Gender & Statistics? Gender, Statistics & MDGs? What do you want to know about
Instructions – ExpectationsWall flip chart - Expectations Part 2 1. Form groups 2. Present your ideas to the group 3. Agree on the 3 most important ideas per topic. 4. Post them on the common flip chart on the wall • Give the other cards to co-facilitators 6. Each group presents one idea to plenary
Instructions – NormsMeta cards Part 1 Use 3 meta cards to answer these 3 questions: • What can we all do effectively use the time gap between translations? • How should we behave so that we practice being gender sensitive? 3. What can be done in the next 3 days to make the workshop worthwhile for you?
Instructions – NormsWall flip chart - Norms Part 2 1. Form groups 2. Present your ideas to the group 3. Agree on the most important idea per topic. 4. Post them on the common flip chart on the wall • Give the other cards to co-facilitators 6. Each group presents its idea to plenary
Norms suggested by facilitators • Everyone in the room is a resource for learning • Facilitators • Co-facilitators • Participants • When presenting, avoid repeating what has already been said • You can say: • “We have nothing new to add” • “All we wanted to say has been presented” • Group Meta cards translated into English by: • A group member or • Ask a co-facilitator
Norms suggested by facilitators The only silly question is one that is not asked
Engendering the Statistical System in Cambodia Paradigm Shifts
Your assumptions The way you see the world What is a paradigm?
Paradigm shift AChange to a more complete & useful way of seeing the world
A new way of seeing Accompanied by changes in: • Attitude • Behaviour
EFFORT AND ATTITUDE DON’T MEAN MUCH IF YOUR PARADIGMS ARE WRONG
Activity 1 2 4 Discuss How do we apply it? 3 What lessons were learned?
Structured Learning ExerciseFacilitated by Teena • Everyone stand in the middle of the room • Observe the activity presented • Would you associate the activity with a person who is male or female? • If it is associated with a male, move left • If it is associated with a female, move right ?
Engendering the Statistical System in Cambodia Sex and Gender: What is the difference?
Concept of sex • Female/male • Biological • Fixed at birth - does not change
Concept of gender • Feminine/Masculine • Social and cultural • Not fixed - changes over time • Varies between societies
Opinion Survey on Women in CambodiaSurvey Form • Fill out the Opinion Survey • Do women and men equally enjoy the rights listed on the form Example: 1. To good and quality education
MEN more than WOMEN > Women Men
WOMEN more than MEN < Women Men
WOMEN and MEN equally = W M
What is the situation of women & gender equality in Cambodia?
Small Group DiscussionFlip chart - Opinion Survey • Form five groups • In groups, agree on one answer to each question & score on flip chart • Based on group answers, discuss women & gender equality in Cambodia • Discuss for 20 minutes • Write 4 main bullet points for group in English & Khmer on Meta cards during discussion • Each group reports their most important bullet point
Engendering the Statistical System in Cambodia MDGs: an introduction Handout
MDG 3. Promote gender equality and empower women • Eliminate gender disparity in primary and secondary education preferably by 2005, and to all levels of education no later than 2015. • Indicators • Ratio of girls to boys in primary, secondary & tertiary education • Ratio of literate females to males among 15-24 year olds • Share of women in wage employment in non-agriculture • % of seats held by women in parliament
MDG 1. Eradicate extreme poverty and hunger • Halve, between 1990 and 2015, the proportion of people whose income is less than one dollar a day. • % of population <$1 per day (PPP values) • Poverty gap ratio (incidence & depth of poverty) • Share of poorest quintile in national consumption • Halve, between 1990 and 2015, the proportion of people who suffer from hunger. • Prevalence of underweight children under age 5 5. % of population below minimum level of dietary energy consumption