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GENDER DIMENSIONS

GENDER DIMENSIONS. Dr Lawrence Ikamari Population Studies and Research Institute University of Nairobi likamari@uonbi.ac.ke. Outline of the Presentation. Objectives of the presentation Introduction: Definitions & importance of gender disaggregated data

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GENDER DIMENSIONS

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  1. GENDER DIMENSIONS Dr Lawrence Ikamari Population Studies and Research Institute University of Nairobi likamari@uonbi.ac.ke

  2. Outline of the Presentation • Objectives of the presentation • Introduction: Definitions & importance of gender disaggregated data • Gender dimensions in key demographic parameters • Gender dimensions in education and labour force • Gender dimensions in disability • Concluding remarks

  3. Objective of the Presentation • Goal:The purpose of the Session on Gender Dimensions is to enable the participants to appreciate the importance of taking gender dimensions into account in development planning at all levels and to equip the participants with the knowledge and skills on how to carry out analysis of Census Data from different gender perspectives.

  4. Objective of the Presentation At the end of the session participants will be able to: • State the rationale for gender disaggregated data • Describe the key gender concepts • Describe how to prepare data for gender analysis. • Describe how to carry out gender analysis • Describe how to present gender disaggregated data

  5. Introduction: definitions Key Concept in Gender Perspectives • Gender • Sex • Gender Analysis • Gender relations • Gender issues • Women issues • Gender inequality

  6. Introduction: definitions Key Concept in Gender Perspectives • Gender Parity Index • Gender Gaps • Gender Development Index (GDI) • Gender aware planning/gender mainstreaming

  7. Introduction: definitions • Gender Gender is a socio-cultural construct of the society that determines the identity, roles or obligations/duties, and entitlements of women and men and girls and boys in the society. It therefore defines women and men’s position in their society. Gender classification changes with time, space and needs of a society

  8. Introduction: definitions • Sex Sex is a biological identification of females and males based on their physiological characteristics. Sex characteristics are natural and determined during conception; compared to gender which identifies qualities that are shaped through the history of social relations and interactions in society

  9. Introduction: definitions of concepts • Sex ratio Sex ratio is the number of males per 100 women, and is sometimes also referred to as the gender ratio

  10. Introduction: definitions • Gender relations Gender relations are social-cultural relationships between men and women in a given society. They are socially constructed and not derived from biology. Gender relations distinguish social relations between men and women from those characteristics which can be derived from biological differences

  11. Introduction: definitions • Gender inequality Gender inequality means unequal access to resources and benefits by women and men and therefore holds back the growth of individuals in society • Gender gaps Gender gaps refer to the differences between women and men in relation to their participation in and benefits from different socio-economic sectors. Gender gaps come about as a result of unequal power relations between women and men and between boys and girls

  12. Introduction: definitions The gender gap measures the magnitude of disparities and is normally computed in percentage points or the difference between percentage for females and percentage for males. • Gender Parity Index Gender Parity Index (GPI) is a socioeconomic index usually designed to measure the relative access to education for both females and males. It is calculated as the ratio of the number of female students enrolled at primary, secondary and tertiary levels of education to the number of male students in each level

  13. Introduction: definitions • Gender analysis This is the process of examining roles and responsibilities or any other situation in regard to women, men, boys and girls, with a view to identifying gaps, raising concern and addressing them, investigating and identifying specific needs for policy and programme development and implementation

  14. Introduction: definitions • Gender-Aware Planning This is the process of taking gender into consideration (gender mainstreaming) in development planning; planning with women/girls and men/boys in mind.

  15. Introduction: definitions • Gender issues Gender issues refers to opportunities, challenges and constraints that affect both women, men, girls and boys in the society. Gender issues are not synonymous with women’s issues • Women’s issues Women issues refer to opportunities, challenges and constraints that affect women/girls only

  16. Rationale for Gender disaggregated data • International and national commitment to promote gender equality and women empowerment • Many international conventions and instruments such as CEDAW, Beijing Platform for Action, and the United Nations Universal Declaration of Human Rights • ICPD 1994 Plan of Action • Millennium Development Goals • Enactment of various laws and policy frameworks, and set up several bodies at national and lower levels in order to advance, coordinate and monitor Gender issues. E.G;

  17. Rationale for Gender disaggregated data • Provision of Freed Education • Affirmative action in recruitment, employment appointment in public service • Development of the development of a National Policy on Gender and Development; • the establishment and strengthening of institutions to address Gender issues (including National Commission on Gender and Development) • Gender units in all line Ministries and state corporations • Inclusion of an indicator on Gender mainstreaming in the Performance Contract Guidelines in the public sector

  18. Rationale for Gender disaggregated data • the Political Parties Act (2007) provides for at least one third representation of either Gender in political parties • the Employment Act of 2007 prohibits termination of employment on account of pregnancy and provides for three months maternity leave and two weeks of paternity leave with full pay • The New Constitution • Has several provisions for affirmative action • Vision 2030 • aims at providing high quality of life to all citizens by the year 2030

  19. Rationale for Gender disaggregated data • Lack of gender disagregated data at the various planning levels

  20. 3: Gender dimensions • Gender dimensions by key demographic parameters • Population age and sex

  21. Methodology • In the 2009 Kenya Population and Housing Census Questionnaire, the information on Gender was captured using question (P-11) on the gender of members of the household where, 1=Male and 2=Female • There are two approaches to measuring Gender gaps. First is the incident approach where the denominator is the total female or male in a particular sector

  22. Population distribution by age and sex Data required: • Population distributed by a specified age group (e.g. 5 year group, 0-14, 15-24, 15-64, 65+ and by sex (either absolute or percentage) • Population distributed by a specified age group (e.g. 5 year age group, 0-14, 15-24, 15-64, 65+ by sex and by province (either absolute figures or percentages) Method: Then graph the figures using a bar chart using excel

  23. Population distribution by age and sex, Kenya, 2009

  24. Percentage distribution of population distribution aged 0-14 years by sex and province, Kenya, 2009

  25. Percentage distribution of population aged 15-24 by sex and province, Kenya 2009

  26. Percentage of the population aged aged 65+ by Sex, Kenya: 2009

  27. Population distribution by marital status and sex Basic measures of marriage: • Marital status: Percentage distribution of the population by current marital status classified by sex and other attributes of interest • Singulate Mean Age at Marriage (SMAM): This is an estimate of the average number of years lived in a single status by those who ever marry before age 50. A high SMAM therefore means a later age at first marriage (Show formula for calculating SMAM)

  28. Population distribution by marital status and sex, Kenya, 2009

  29. Singulate Age at First Marriage • 1962: SMAM: 18.5 years • 1969: SMAM: 19.2 years Male: 25.1, Female: 19.2 • 1979: SMAM: 20.2 years Male: 25.3, Female: 20.2 • 1989: SMAM: 21.6 years Male: 26.0, Female: 21.6 • 1999: SMAM: 22.3 years Male: 26.5, Female: 22.3 • 2009: SMAM: 26.5 years Male: 26.7, Female : 22.5

  30. Trends in the singulate mean age at marriage, Kenya, 1989-2009 Census Data

  31. Trends in the singulate mean age at marriage (SMAM), Kenya and by Province; 1999-2009 Census Data

  32. Singulate Mean Age at Marriage (SMAM) by Sex and Province, Kenya 2009

  33. Infant and under mortality by sex Measures of mortality are desirable disaggregated by sex and other attributes of interest. These can be obtained using indirect methods using QFIVE software. This requires basic data • Number of children ever born classified by 5 year group of mother and sex • Number of children dead classified by 5 year group of mother and sex • Number of women aged 15-49 classified by 5 year group

  34. Life expectation at birth by sex and province, Kenya: 2009

  35. Gender Dimensions in Education Data required: • School attendance among the population aged at least 3 year classified by a specified age group, sex and other attribute of interest • Educational attainment among the population aged at least 3 years classified by a specified age group, sex and other attribute of interest

  36. Percentage of the population by school attendance status by sex, Kenya: 2009

  37. Percentage distribution of the population aged at least 3 years by school attendance, sex and rural-urban residence

  38. Percentage of the population attending school by age and sex, Kenya: 2009

  39. Percentage of population age at least 3 years by sex, Kenya: 2009

  40. Percentage of the population with no education by sex, residence and province, Kenya: 2009

  41. Percentage of the population with completed primary education by sex, residence and province, Kenya: 2009

  42. Percentage of the population with at least secondary education by sex, residence and province, Kenya: 2009

  43. Gender dimensions in Labour force Data required: • Economic activity among the population aged 5 years and above classified by sex and attribute of interest

  44. Percentage of the population age at least 5 years by sex and economic status, Kenya, 2009

  45. Percentage of the population age at least 5 years by sex, economic status, rural-urban residence, Kenya, 2009

  46. Percentage of the population by age, economic status and sex, Kenya: 2009

  47. Percentage of distribution of employed population (15-64 years) by sex and province, Kenya, 2009

  48. Percentage of the employed population by age, sex and economic activity, Kenya: 2009

  49. Gender Dimensions in Disability Data required: • Percentage of PWD by sex and attribute of interest

  50. Percentage distribution of PWDs by Sex, Kenya: 2009

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