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UGANDA BUREAU OF STATISTICS. Integrating Gender Perspective into Statistics, 4 th -7 th December, 2012 Grand Imperial Hotel, Kampala, Uganda By Nassolo Stella, Gender Statistician, UBOS Tuesday, 4 th December, 2012. Outline. Introduction UBOS mandate, objectives, strategic direction

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uganda bureau of statistics

UGANDA BUREAU OF STATISTICS

Integrating Gender Perspective into Statistics,

4th-7th December, 2012 Grand Imperial Hotel, Kampala, Uganda

By

Nassolo Stella, Gender Statistician, UBOS

Tuesday, 4th December, 2012

slide2

Outline

  • Introduction
    • UBOS mandate, objectives, strategic direction
    • Gender Statistics development
    • Institutional arrangement for gender mainstreaming-roles of Gender Statistics Unit
        • Coordination mechanisms
  • Progress on Gender Statistics
    • Initiatives on gender statistics development
  • Challenges & constraints in gender mainstreaming statistics
      • Operational
      • Technical
slide3

Introduction

  • UBOS Mandate
  • The Uganda Bureau of Statistics (UBOS) is a semi-autonomous body established by an Act of Parliament (1998) to promote the production of reliable official statistics & ensure the development & maintenance of the National Statistical System (NSS).
    • The NSS includes various actors namely;producers, suppliers, users of data.
slide4

UBOS MANDATE

  • Production of quality statistics requires the;
    • Collection, analysis & dissemination of integrated gender responsive data.
    • Establishment and strengthening of mechanisms for the coordination, monitoring & supervision of gender statistics activities in NSS.
slide5

Strategic Direction

UBOS developed a five- year Plan for National Statistical Development (PNSD)-NSDS as a comprehensive strategy for strengthening and improving development of a responsive National Statistical System.

The PNSD-NSDS underlines the need to engender statistics.

slide6

Gender Statistics Development in the NSS

  • In order to main stream gender in statistics development, UBOS has among other things;
    • Embraced the global agenda of increasing availability & use of Gender Statistics;
    • Strategically highlighted gender statistics as a key output in statistics production – under the Plan for National Statistical Development (PNSD) framework.
    • Established & recruited staff for the Gender Statistics Unit -Responsible for supporting gender mainstreaming in statistics.
slide7

Roles of the Gender Statistics Unit

  • To support efforts on gender mainstreaming (GMS) in statistics production & development by;
    • Supporting statistical programmes and activities to generate & disseminate demand-driven gender responsive statistics.
    • Providing support to engender the data throughout the statistics value chain. i. e. survey/census planning - data collection – analysis-reporting – dissemination-utilization and archiving.
    • Promoting dialogue & collaboration between statistics actors (producers, suppliers, users, Research and training Institutions) to establish data user needs.
    • Developing & strengthening capacity for production of gender responsive statistics.
slide8

Coordination mechanisms (1)

  • Under the PNSD implementation framework UBOS constituted the Inter Agency Committee (IAC) with representation from implementing Ministries, Departments and Agencies (MDAs).
    • Gender Statistics Sub Committees was established and operationalised under the IAC.
    • A UBOS Gender Statistics Committee was constituted with representation from all Directorates/Divisions.
  • (Both committees promote gender mainstreaming in statistics production and use).
slide9

Coordination mechanisms (2)

  • Gender Statistics Sub Committee
    • Co-chaired by the Ministry of Gender, Labour and Social development (MGLSD) and UBOS and comprises of MDAs, Civil Society Organizations, development partners.
    • Operates under clear Terms of References (TORs).
    • Current membership is of 25 member Institutions engaged in gender & statistics related activities.
slide10

Initiatives on gender statistics development (1)

  • Development of a gender statistics strategy and operational plan;
  • Conducting training for gender statistics stakeholders;
  • Conducting seminars to create awareness amongst UBOS staff on gender statistics;
  • Gender profiling (under progress) to develop an inventory for gender statistics for users;
  • Design and integration of gender and time use variables into the UNHS V and labour survey modules.
slide11

Gender Statistics Activities (1)

  • Production of gender specific reports-initial efforts have been on Sex Disaggregated Data.
  • Hold regular Sub Committee meetings to share progress and facilitate in depth GDD analysis. (e.g. Time Used Data Analysis of the existing survey data).
    • Conducted a Participatory Gender Audit (PGA) to establish existing efforts in gender mainstreaming and suggest ways on how best GMS in statistics production.
slide12

Gender statistics Activities (2)

  • Engendering survey processes for example; survey/census instruments / questionnaires namely;
      • Uganda National Household Survey (UNHS),
      • Uganda Demographic Health Survey (UDHS),
      • The Population and Housing Census (UPHC),
      • The Uganda Census of Agriculture (UCA).
slide13

Challenges & constraints in gender mainstreaming statistics (1)

  • Operational
  • Poor attitude and lack of support for Gender Statistics,
  • Potential data users do not know what they need
    • No effective demand for GDD.
  • Inadequate funding for gender statistics ,
  • Reaching out to all the actors is currently not possible,
  • Inappropriate prioritization for gender statistics production needs, thus overwhelming GDD needs.
slide14

Challenges & Constraints in gender mainstreaming statistics (2)

  • Technical
  • No specific reference document on gender statistics
    • Lack of harmonised & standard concepts, terminologies & definitions.
    • The scope of gender statistics is not clearly defined.
    • There are methodological limitations to guide indepth analysis for GDD, due to;
      • Change in phrasing and concepts used,
  • Limited information on existing data for GDD analysis
    • Data capture- tools are not engendered.