Presentation is loading. Please wait.

Presentation is loading. Please wait.

BY ROSEARY USIDE KONGANI KENYA NATIONAL BUREAU OF STATISTICS 9/11/2015KNBS1 Integrating Gender Perspective in Statistics 4-7 December 2012 Kampala, Uganda.

Similar presentations


Presentation on theme: "BY ROSEARY USIDE KONGANI KENYA NATIONAL BUREAU OF STATISTICS 9/11/2015KNBS1 Integrating Gender Perspective in Statistics 4-7 December 2012 Kampala, Uganda."— Presentation transcript:

1 BY ROSEARY USIDE KONGANI KENYA NATIONAL BUREAU OF STATISTICS 9/11/2015KNBS1 Integrating Gender Perspective in Statistics 4-7 December 2012 Kampala, Uganda

2 9/11/2015KNBS2

3  Demographic Characteristics  Education  Labour Force  Household and Housing Amenities  Persons with Disabilities  Conclusions and Recommendations 9/11/2015KNBS3

4  The Government’s commitment and efforts to promote gender equality and women’s empowerment are reflected in the ratification of numerous international conventions and instruments such as Convention on ◦ Elimination of all forms of Discrimination Against Women (CEDAW), ◦ Beijing Platform for Action, and the ◦ United Nations Universal Declaration of Human Rights, among others 9/11/2015KNBS4 Introduction

5  The millennium development goals are internationally agreed upon for social economic development. The status of achieving these goals is highlighted in various chapters of the Gender Dimensions Monograph.  Existing policies and programmes, methodology and conceptual framework. 9/11/2015KNBS5

6 9/11/2015KNBS6 Source: 2009 Population and Housing Census

7  Explores how change in population growth and distribution directly affect the living conditions of people and gives a gender perspective of the major demographic characteristics; fertility, mortality, migration and urbanization.  These demographic factors have profound effects on human development along the lifecycle e.g. age at first marriage, age at first birth etc. 9/11/2015KNBS7

8  Education  Labour Force  Household and Asset Ownership  PWDs 9/11/2015KNBS8

9 9/11/2015KNBS9  Attendance Status  Attainment  Enrolment  Dropout Rate  Never went to school

10  GER: Females-109.2, Males-112.2 (Primary )  NET: Females- 79.7, Males-77.8 “  GER: Females-49, Males-54 (Secondary)  NER: Females-28, Males-23 “ 9/11/2015KNBS10

11 9/11/2015KNBS11

12 9/11/2015KNBS12

13 9/11/2015KNBS13 Age

14 9/11/2015KNBS14  The gender gap tends to increase in higher levels of education where females reduce in number.

15 9/11/2015KNBS15  Economic Status  Employed  Unemployed  Working Children  Economically Inactive

16 9/11/2015KNBS16

17  Household headship  Marital Status  Economic status ◦ Working ◦ Unemployed ◦ Inactive  Asset Ownership 9/11/2015KNBS17

18  Types of disabilities ◦Visual ◦Hearing ◦Speech ◦Physical ◦Mental ◦Self-care ◦Other 9/11/2015KNBS18

19 9/11/2015KNBS19 Types of Disabilities

20  Education Attainment  Primary  Secondary  Higher Education  Economic Status  Working  Unemployed  Inactive 9/11/2015KNBS20

21  Radio  TV  Car  Land  Cattle 9/11/2015KNBS21 Analysis based on household headship

22 9/11/2015KNBS22


Download ppt "BY ROSEARY USIDE KONGANI KENYA NATIONAL BUREAU OF STATISTICS 9/11/2015KNBS1 Integrating Gender Perspective in Statistics 4-7 December 2012 Kampala, Uganda."

Similar presentations


Ads by Google