Producer Producer Report 2008

UGANDA BUREAU OF STATISTICS THE REPUBLIC OF UGANDA REPORT ON THE PRODUCER-PRODUCER WORKSHOP HELD ON 20TH NOVEMBER 2008,...

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UGANDA BUREAU OF STATISTICS THE REPUBLIC OF UGANDA

REPORT ON THE PRODUCER-PRODUCER WORKSHOP HELD ON 20TH NOVEMBER 2008, HOTEL AFRICANA, KAMPALA

THEME:

MATCHING STATISTICS AND POLICY AGENDA FOR IMPROVED SERVICE DELIVERY IN UGANDA

Published 2009

Published by: Directorate of Statistical Coordination Services Uganda Bureau of Statistics

Address:

Plot 9 Colville Street P.O. Box 7186 Kampala Tel: Fax: Email: Website:

256-041-706000 256-041-237553 [email protected] www.ubos.org

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Table of Contents Acronyms................................................................................................................................ iv 1.0

Introduction .................................................................................................................1

1.1

Purpose of the workshop.............................................................................................1

1.2

Proceedings ................................................................................................................1

2.0

Introductory Remarks by the Executive Director, UBOS .............................................2

2.1

Official opening ...........................................................................................................2

2.2

Reaction......................................................................................................................3

3.0

Presentations ..............................................................................................................4

4.0

Issues raised by discussant .......................................................................................7

5.0

Plenary Discussion......................................................................................................8

6.0

Presentations ..............................................................................................................9

7.0

Group Discussions ....................................................................................................12

8.0

Way forward ..............................................................................................................13

9.0

Closure......................................................................................................................13

ANNEX A:

EMERGING ISSUES....................................................................................14

ANNEX B:

PROGRAMME FOR DATA PRODUCER WORKSHOP ...............................18

ANNEX C:

LIST OF PARTICIPANTS .............................................................................19

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Acronyms BOU

Bank of Uganda

CSOs

Civil Society Organisations

DENIVA

Development Network for Indigenous Voluntary Association

DED/CS

Deputy Executive Director, Corporate Services

DCS

Directorate of Statistical Coordination Services

ED

Executive Director

EPRC

Economic Policy Research Centre

ISAE

Institute of Statistics and Applied Economics

LGFC

Local Government Finance Commission

MAAIF

Ministry of Agriculture, Animal Industry and Fisheries

MDAs

Ministries, Departments and Agencies

MDGs

Millennium Development Goals

MEMD

Ministry of Energy and Mineral Development

M&E

Monitoring and Evaluation

MGLSD

Ministry of Gender, Labour and Social Development

MIS

Management Information System

MLHUD

Ministry of Lands, Housing and Urban Development

MoES

Ministry of Education and Sports

MoFA

Ministry of Foreign Affairs

MoFPED

Ministry of Finance, Planning and Economic Development

MOH

Ministry of Health

MoJCA

Ministry of Justice and Constitutional Affairs

MoPS

Ministry of Public Service

MTTI

Ministry of Tourism, Trade and Industry

MUK

Makerere University

MWE

Ministry of Water and Environment

MWT

Ministry of Works and Transport

NARO

National Agricultural Research Organisation

NEMA

National Environmental Management Authority

NDP

National Development Plan

NPA

National Planning Authority

NIMES

National Integrated Monitoring and Evaluation Strategy

NSS

National Statistical System

OPM

Office of the Prime Minister

PEAP

Poverty Eradication Action Plan

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PNSD

Plan for National Statistical Development

PS

Permanent Secretary

PSF

Private Sector Foundation

SES

Social - Economic Surveys

TWG

Technical Working Group

UBOS

Uganda Bureau of Statistics

UETCL

Uganda Electricity Transmission Company Limited

UIA

Uganda Investment Authority

UMA

Uganda Manufacturers’ Association

UNCST

Uganda National Council for Science and Technology

UPF

Uganda Police Force

URA

Uganda Revenue Authority

UWA

Uganda Wildlife Authority

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1.0

Introduction

The Uganda Bureau of Statistics (UBOS) has embarked on strengthening data development, by matching Statistics to the policy agenda for improved service delivery across the National Statistical System (NSS). As part of statistical development and harmonisation of activities in the National Statistical System (NSS), UBOS conducts bi-annual data producer workshops, which bring together all key data producers in the NSS. The dialogue between producers during such fora provide a platform for aligning data needs to national development frameworks such as the Poverty Eradication Action Plan (PEAP) or the National Development Plan (NDP).

It also addresses the data requirements for related sector policies and,

international frameworks such as the Millennium Development Goals (MDGs).

1.1

Purpose of the workshop

The purpose of the workshop was to enable key stakeholders deliberate on issues related to strengthening the production of quality data that guide and support planning, responsive policy formulation and decision making in Uganda. The workshop was also intended to expose participants to the National Development Plan (NDP). This was an effort to enable Ministries, Departments and Agencies (MDAs) engaged in data production to position themselves to meet the increasing and changing data demands.

1.2

Proceedings

The full day workshop was organised in four sessions.

It was attended by over 70

participants mainly comprising of key data producers. The first session covered the officiation, the second and third sessions covered presentations and general discussions on; •

Planning and the need for statistics/indicators;



Matching statistics to policy and the budget framework;



The role of Gender Statistics in policy and decision making processes; and



Understanding Gender Issues and the Challenges of Compiling Gender Statistics

The fourth session covered group discussions on; •

Strategies for meeting increasing/changing user needs



Matching sector statistics/ indicators to policy issues/development frameworks



Strategies for mainstreaming production of Gender Statistics, and formation of the Uganda Gender Task Force.

Finally, the plenary discussion revolved around emerging issues and the way forward. (Refer to the annex section for the detailed programme, list of participants and presentations)

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2.0

Introductory Remarks by the Executive Director, UBOS

Participants were welcomed and informed that the workshop intended to bring together all data producers from different MDAs particularly those under the Plan for National Statistical Development (PNSD). The participation of key line Ministries was underscored and a pledge was made to extend invitations to other MDAs including the Ministry of Public Service (MoPS), Ministry of Justice and Constitutional Affairs (MoJCA) and the Private Sector Foundation (PSF) among others to participate in such fora.

The Permanent Secretary (PS), Office of the Prime Minister (OPM) was welcomed and invited to officially open the Producer-Producer Workshop. The PS was represented by the Ag. Director, Coordination and Monitoring, (OPM).

2.1

Official opening

The Permanent Secretary-Office of the Prime Minister thanked the Executive Director, UBOS for the opportunity to officially open the workshop. Participants were informed that the invitation reflects the recognition that the production of statistics is not an end in itself, but rather a foundation upon which policy decisions can be made.

He emphasised the following key issues: •

The fundamental challenge of Government in linking the supply of data and information to its demand in a manner that facilitates use for policy formulation



Coordination as a key dimension in strengthening relationships between users and producers of data



The importance of a unified coordination framework that ensures that all Government programmes are conducted and evaluated in a rational and synchronised manner.



The role of statistics as outlined in the National Integrated Monitoring and Evaluation Strategy (NIMES)



Low quality administrative data that undermines the capacity and confidence to use administrative information to improve service delivery.



Inequitable systems, capacities and practices which limit holistic performance assessment across Government

Efforts towards clarifying the frameworks and mechanisms that address the fore mentioned challenges in data production were acknowledged. The Plan for National Statistical Development (PNSD) was particularly commended. The national development planning process underway will also provide an opportunity to link supply to demand. It will therefore renew the emphasis on the production and coordination of high quality data across the

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system. Finally, the National M&E which provides the strategy for monitoring and evaluation of Government programmes will address central, sectoral and local government needs. .

Another key challenge for data producers was noted in the incentive and accountability structure, The Parliament, Cabinet and treasury require evidence based quarterly reports to justify releases; this must be supported by timely and accurate data. The policy makers require high quality and accurate data to tie monetary and non-monetary incentives to actual performance. Efforts will need to be strengthened to bring together public service, local Government, finance and other coordinating institutions.

2.2

Reaction

The ED, UBOS further underscored the significant role of statistics in informing government review processes to enhance effective development planning and the relevance of producing timely data/information as a key data quality measure. Data producers were urged to identify potential data users and their information needs with respect to specific timelines.

The issues raised in the Permanent Secretary’s remarks pointed to the need for UBOS to strengthen its role in bridging data production efforts to fill existing data gaps.

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3.0

Presentations

The Deputy Executive Director, Corporate Services (DED/CS), UBOS chaired the second session of the workshop. Presenters in this session were from the Ministry of Finance Planning and Economic Development (MoFPED) and National Planning Authority (NPA) who presented on: Planning and the Need for Statistics/Indicators and Matching Statistics to Policy/Budget frameworks respectively. 3.1

Planning and the Need for Statistics/Indicators

This presentation was made by the Manager, Research, Innovation, and M&E, National Planning Authority (NPA) Planning was defined as the deliberate effort to identify, design and detail out necessary actions, strategies and corresponding inputs for achieving desired vision, goals, outcomes, outputs, or activity targets.

It is a scientific and management tool used from

conceptualization, goal setting, design, implementation, and, monitoring and evaluation.

Planning assists to; •

determine the sequence for resource mobilization and orderly implementation of activities



enable efficient use of scarce resources requirements, and



facilitate assessment of progress.

Economic Development Planning on the other hand refers to the deliberate effort by Governments to put in place frameworks and detailed actionable national, sectoral and subnational plans to guide achievement of set national development aspirations

3.1.1

The National Planning Authority

The National Planning Authority is responsible for harmonising sectoral plans and human resource development planning in Uganda.

The Poverty Eradication Action Plan

(PEAP/PRSP) in Uganda has been replaced by the National Development Plan (NDP) under the theme: “Growth, Employment and Prosperity”. The approved strategy is as follows; - 30-Year Vision; - 10-Year National Development Plan; - 5-Year National Development Plan (NDP); - 2½-Year Reviews of NDP The development of the comprehensive National Development Plan (NDP) was attributed to the increased data demand to inform planning and development. The NDP process involved the development of thematic papers for the respective thematic working groups. This was facilitated by clear guidelines provided by NPA.

It has been noted that the successful

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implementation of the NDP will require timely and quality statistics/information to measure progress.

3.1.2

Statistics and Planning

Statistics play a pivotal role in the design, implementation and monitoring and evaluation of National and sectoral development plans. They are a medium for quantified description of current and future situations. Statistics are therefore Sectoral/macro-level,

needed to inform planning at

Sub-national, District and Lower Local Government levels, and Sub-

sector/industry & enterprise level. At the macro level, indicators are required for national projections and planning. The administrative time series data from registers and MIS reports from districts and MDAs are also required at micro level.

3.2

Matching Statistics to Policy and the Budget frameworks

This presentation was made by the Commissioner, Budget Policy and Evaluation Department, MoFPED. Major focus was on the use of statistics in budget formulation and monitoring; Planning over the medium term, and, measuring impact of budget interventions. The PEAP was developed on the basis of a variety of research findings, based on household surveys, participatory poverty assessments etc Statistics play an integral part in policy planning and impact analysis.

3.2.1

The use of Statistics in budget formulation

Quality statistics have led to improved quality and relevance of the policy recommendations in the PEAP for the benefit of the policy makers. It underpins the concept of evidence based decision making in that policy makers make informed decisions based on quality data and research findings;

Reliable information and data form a basis upon which policy decisions can be taken; Identification of key aggregated national level statistics is imperative for the upcoming NDP. They provide benchmarks against which policy makers and Planners can budget.

The

statistics must also be streamlined along agreed Key Performance Indicators at Sector/LG level. For maximum utility, the production of statistics should be reconciled with the budget cycle in terms of reliability and timeliness to enhance performance and planning.

Elaboration of an effective M&E system within Government was made. The M&E system influences decision making processes regarding implementation of relevant policies and plans.

An M&E system derives value from relevant information for decision makers (It

enables project / programme implementors to know what works and what does not in terms of implementation and resource allocation).

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3.2.2

Performance management

Performance management is the major objective of Government aimed at increasing value for money. The importance and use of statistics in enhancing performance management is a key aspect in the planning and budget formulation process. Indicators under the performance management system are classified along the result chain – input, output, process, outcome and impact. An example of how statistics are used in Medium Term Planning through district budgeting was presented as follows Figure A

Figure A

Medium Term Planning through district budgeting: An example Figure A, illustrates how the district pupil Figure A: illustrates how isthe district pupil classroom ratio of 50:1 translated into classroom ratio of through 50:1 is translated into budget allocations using national budget allocations using national level statistics in linethrough the MoES policy. level statistics in line the MoES policy.

Another illustration was made on the use of District Statistics to allocate Conditional Grants to emphasise the critical need of statistics for equitable resource allocation. The Ministry of Finance, Planning and Economic Development allocates formulae for conditional grants. Accurate information: A: Allocation for Local Government Grant (LGDP) IPFi = Z

0.85* population of district +

0.15* land area

Total population

Total National land area

+/- LK

Where; Z = LGDP Provision for Districts including Sub-counties); L = LGDP provision for the previous FY; and K = is the LGs performance level in service delivery ranging from -20% to +20% of the annual provision depending on whether it is graded as a Static, Penalty or Reward.

An example of how statistics are used to Measure the impact of Budget Interventions: Theory was illustrated as follows;

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Figure B:

3.2.3

Measure the impact of Budget Interventions

Practical Considerations: Measuring Impact

Using Outcome or Impact Indicators can give an incomplete picture of budget performance i.e. who should take the credit. In performance measurement, more emphasis should be placed on identifying statistics that measure effectiveness of Government institutions and how key outputs contribute to intermediate outcomes. Note should be taken that poor synchronisation of the policy cycle (planning, budgeting and reviews are as a result of poor quality M&E data and inaccurate or missing information. These need to be aligned to inform the data production process for coherence in the cycle.

4.0

Issues raised by discussant

The Acting Director, Coordination and Monitoring, OPM discussed the presentations on Planning and the Need for Statistics/Indicators and Matching Statistics to Policy/Budget frameworks and underlined the following issues; •

The need to produce quality of data/information to support effective planning



The importance of linking data production to its use and the implication on the quality of data in relation to (reliability, relevance, clarity and accessibility of data among others).



Data producers should have greater understanding of the policy making process in order to provide relevant and credible data for policy makers.



Emphasis on professionalism and political independence in data production.



Official data as a public good and part of the enabling environment for national and international stakeholders.



Sector planning frameworks should be revisited since they affect the quality of the data produced. Sectors should be technically supported in this area.



Budget allocation should be guided by the principle of poverty reduction. There is need to prioritise given the limited available resources.

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Drawing from Uganda’s experience of the PEAP annual review, it was evident that; ¾

Government keeps the public aware of policy formulation and budget processes. The civil society also plays a key role in reviewing the process.

¾

Some of the key challenges including issues of incomplete and unreliable routine datasets remain an issue within the MDAs.

¾

Situations of data redundancy, duplication and resource wastage undermine the comparability of datasets across the National Statistical System.

¾

Routine inspection of activities and bureaucratic processes at both local Government and sectoral levels remain a challenge.

¾

The Evaluation function is relatively under developed across the sectors.

¾

Lack of synchronised and aligned release calendars has affected coherence within the NSS.

Despite the poor quality of data produced and disseminated, there has been significant progress in many areas and a number of lessons learnt. All data producers were called upon to broaden their data production base in order to meet the increasing and changing data demands.

5.0

Plenary Discussion

Discussion and comments that ensued included the following; •

Clarity was also sought on the following; o

the data types required by MoFPED to guide resource allocation towards particular sectors.

o

possible ways to address data gaps in the different sectors

o

the challenges faced in accessing accurate and quality information from key sectors.



There was a concern about the proposed theme for the comprehensive NDP. It was noted that data quality would eventually be undermined, given the short time lines within which the NDP was being developed.



There ought to be strategies/mechanisms to address issues of incoherence and inconsistencies in the data reports generated by the different producers.

Responses •

In response, participants were reminded that the proposed theme which caters for the immediate needs of growth, employment and prosperity for all was forwarded to Cabinet for approval.



The MoFPED representative mentioned the need for efficient and effective Management Information Systems (MIS) with particular emphasis on the production of reliable, accurate and timely data to avoid inconsistencies in information generated. Data producers were called upon to produce user friendly data which can easily be interpreted by the different stakeholders. In addition, data producers were

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urged to widen their scope in data collection to cater for other aspects of disaggregation within the households. •

One of the participants highlighted the need to strengthen the M&E function within all sectors and pointed out the low levels of human resource as one of the critical areas that has been ignored. A recommendation was then made to build capacity in production and management of quality data/information.



A participant from Local Govt Finance Commission (LGFC) pointed out that resource allocation to lower local governments was one of the challenges facing the sector.



Synchronisation of data with the policy calendar was highlighted as a critical issue that had been overlooked by data producers and therefore, timely production of key indicators which inform the policy calendar should be adopted.



Key data producers were requested to provide bench marks for the data they produce to enable effective Monitoring and Evaluation (M&E).



Regarding Quality Control, UBOS, as the national agency for coordinating the NSS plays a supervisory role in ensuring quality official statistics are produced and disseminated.

Data producers were urged to abide by the law that governs

production and dissemination of official statistics. •

Trustworthiness and interpretation of data produced was re-emphasised. It was also pointed out that UBOS would go an extra mile to interpret key information that is easily misconstrued.

6.0

Presentations

The third session was chaired by the Head of Social and Economic Surveys, UBOS. Presenters in this session were from

Uganda Bureau of Statistics, Ministry of Finance,

Planning and Economic Development and Makerere University who presented on Statistical Development in Uganda, the role of gender statistics in the policy and decision making process and Understanding Gender Issues and the Challenges of compiling Gender Statistics respectively.

6.1

Statistical Development in Uganda

The presentation was made by the PNSD-Coordinator, UBOS

The significant role Statistics play in public policy design and analysis, planning, monitoring and evaluation, governance/accountability, public debate and decision making was highlighted.

Most Government Ministries, Departments and Agencies (MDAs) and other

significant players in the economy continue to produce and use statistics. There was however limited harmonisation of statistical activities and compliance to best practices and standards. As a result, most agencies have and still continue to work at cross purpose, with increased

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duplication and wastage of resources. Efforts have been made to increase coordination and harmonisation of statistical production in the National Statistical System to ensure consistency, quality and synergy through strategic approaches.

This has been achieved

through the development of the Plan for National Statistical Development (PNSD).

The PNSD is a vehicle for streamlining statistics development efforts in Uganda. It was developed to strengthen statistics production to meet the increasing and changing data demands of government and the economy. The PNSD would enhance coordination and collaboration among producers and users; increase availability of quality data, and strengthen national capacity to produce, analyze and use reliable statistics through an integrated NSS. To achieve this; •

The public profile for statistics would need to be raised through a coherent NSS-wide communication policy and advocacy strategy.



There would be need to streamline data management processes in the sectors and create a central data warehouse (National Statistical Data Bank)



Budgets for statistics activities/programmes would be integrated in the overall budget framework and the respective sectoral budgets.



Statistical activities would be matched with the policy, planning and budget cycles to inform the processes.

Thus, planning without evidence was noted to be false planning. Implementation with limited Monitoring and Evaluation leads to poor performance while monitoring using poor quality/inadequate data/information results in poor service delivery.

Data producers were challenged to;

6.2



Understand the policy making process and align their plans along those lines.



Know the data requirements (data/indicators) of their key users



Prioritise production and dissemination of quality statistics in their sectors



Budget and prioritise resources for statistics development in their sector budgets



Provoke data users and support forecasting of data needs



Link all data generated to development frameworks at all levels, and



Ensure quality data is generated and meets user needs.

Role of gender statistics in policy and decision making process

The presentation was made by the Head Budget Monitoring & Analysis Unit, MoFPED. Gender was referred to as the cultural and social distinctions between women and men (attributes; roles, responsibilities; opportunities, privileges). Gender statistics were defined as the disaggregated information showing attributes (sex, age - children, youths, elderly, PWDs); roles (who does what); responsibilities; opportunities (control over resources; mobility, time use); and privileges.

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Gender statistics facilitate understanding of the target population: who they are; what they do; what problems they are experiencing, what aspirations they hold, what resources they have, and what capacities they can draw on

In policy processes, statistics are the eyes and ears of policy makers. Gender statistics enable the policy decision making process to determine the type of intervention that can yield an effective impact.

Gender statistics also play a critical role in planning to facilitate effective articulation of issues and identification of appropriate strategies.

Designing strategies, activities and setting

meaningful goals can only be relevant if the data produced is disaggregated not only by gender but also by other attributes.

Gender statistics are therefore key in ensuring formulation of appropriate performance indicators and targets for effective monitoring and evaluation at different levels of development.

6.3

Understanding Gender Issues and the Challenges of compiling Gender

Statistics The presentation was made by the Head, Department of Gender and Women Studies, Makerere University. The following key issues were highlighted. •

Importance of gender as a variable that systematically structures a persons’ economic and social position and prospects.



Key gender concepts, definitions and classifications with respect to both individual gender dimensions vis-à-vis household aggregates.



Triangulation of the methods of capturing gender related information and utilisation of existing MISs to capture data differentials.



The importance of gender statistics in the planning process. (Gender equality and equity goals cannot be attained without gender statistics).



The key challenges underlying production of gender statistics which include; o

Lack of technical skills and adequate statistical infrastructure (sampling frames, classifications, concepts, definitions and methods)

o

Inadequate gender sensitive data management (archiving, analysis, and dissemination)

o

Limited understanding of gender data collection methodologies– qualitative techniques

o

Limited appreciation for qualitative data that capture the gender differentials

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6.4

General Discussion

The following issues and responses were raised from participants regarding the presentations.

Participants inquired about; •

how the interest of policy makers and their involvement in the data production processes can be strengthened



how to ensure that the recommendations made by data producers would be taken into consideration. Data dissemination and packaging issues were also raised.



the existing mechanisms for data sharing and data redundancy in the MDAs.



how UBOS planned to handle issues of accuracy, reliability and fabrication of data compiled by agencies outside the country, and how to ensure that the data reflected the actual situation in Uganda.

Responses Participants were informed that; •

the issues would be dealt with as and when the data demands arise.



UBOS consults with key agencies that collect data.



under the PNSD, sectors and their respective stakeholders were encouraged to meet and discuss issues of data development and user needs. The consultative process is intended to promote data sharing and reduce data redundancy. The development of the sector Metadata would in a way encourage data/information sharing.

7.0

Group Discussions

The fourth session was chaired by the Director Statistical Coordination Services (DCS), UBOS. Participants were divided into three groups to discuss; •

Strategies for meeting increasing/changing user needs,



Ensuring sector statistics respond to policy issues/development frameworks,



Challenges sectors face in meeting the data demands of the National Development framework, and



Strategies for mainstreaming production of gender statistics.

The emerging issues are summarised in Table 1.

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8.0

Way forward

The following key issues raised in the course of the workshop were pronounced at the end of the workshop for participants’ action thereafter; •

The need for effective data management and handling of user requests.



The importance of regular dissemination of data to satisfy potential user demand.



The need to harmonise data requests to suit the various planning processes, policy frameworks, and the National Development Framework.



Improvement and prioritisation of human resource development within the different MDAs.



UBOS should promote prioritisation and production of statistics across MDAs in order to enhance quality data development and management.



The need to strengthen and improve Partnerships and data/information sharing mechanisms within and among the different MDAs



Prioritisation of gender statistics production in the various MDAs to meet the increasing demand for gender statistics for effective planning and decision-making,

The participants proposed constitution of a National Gender Task Force comprising of; UBOS, MGLSD, MOH, MoES, MoFPED, the Parliament, Uganda Gender Resource Centre, MAAIF, MEMD, MoJCA, MWE, Department of Gender and Women Studies, Makerere University, PSF, MOPS, CSOs, ISAE, UNCST, OPM, NPA.

Representatives from these

agencies would meet and discuss modalities to guide the development of gender statistics in Uganda.

9.0

Closure

The Director, Statistical Coordination Services, UBOS once again thanked participants for attending the workshop. Participants were requested to follow up on the issues that were raised. The workshop was officially closed at 5:00pm.

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ANNEX A:

EMERGING ISSUES

Table 1:

Summary of emerging issues

Discussion topics

Group 1

Group 2

Question 1

Strategies for meeting increasing/changing user needs

Identifying user needs

• •

User requests Statutory requirements and incidence demands from stakeholders

• • • • • •

Stakeholder meetings Mandate of institutions data requests International conventions Parliamentary/statutory requirements Questionnaires

Meeting user needs

• • •

Press releases Periodic reports Dissemination workshops

• • •

Through participatory methods, Trainings in priority areas, Establishing and equipping resource centres: provision of technical expertise Adhering to legal requirements in data production and dissemination Launching of data sets

• • Satisfying user needs



Consultative meetings and workshops



Group 3

• • •

User requests Stakeholder meetings User needs assessment

Expansion of current data systems to include more variables

Producing and disseminating information based on user demand. Satisfaction is subjective

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Discussion topics

Group 1

Group 2

Group 3

Question 2

Ensuring sector statistics respond to policy issues/development frameworks

Criteria used to determine type of data required and produced

Baseline surveys

Criteria are based on what is needed by particular users. choice is what is specific to user mandates

Participatory/consultative approaches used are dependent on user needs/requests

Measuring performance (NIMES – M&E)

Applicable

Applicable

Applicable

National Development Plan (NDP)

Applicable

Applicable

Applicable

Decentralization

Applicable

Applicable

Applicable

Millennium Development Goals (MDGs)

Applicable

Applicable

Applicable

International Frameworks

Applicable

Applicable

Applicable

Question 3

Challenges sectors face in meeting the data demands of the National Development framework

Challenges

limited skills in use of Management Information Systems in the sectors

• •

Low priority given to data production lack of streamlined data demands

• • • •

Un-clear data requests from users Recurrent data gaps, Resource constraints in terms of financial and physical aspects Managing cross sectional data with

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Discussion topics

Group 1

Group 2

Group 3

• • • •

Question 4

Strategies for mainstreaming production of Gender Statistics.

To what extent do sector statistics address gender concerns

All represented MDAs mentioned that there was minimal inclusion and capture of gender statistics at their respective MDAs

underlying cross cutting issues Limited capacity to produce and package disaggregated data Inadequate technical support and supervision Weak systems-lack of software, Limited capacity to produce adequate data

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Discussion topics

Proposed strategies

Group 1





Question 5

UBOS to spear head the process of mainstreaming gender statistics in the NSS and in national planning Constitution of a National Gender Task Force (to develop gender statistics)

Group 2

• •

Group 3

Develop a comprehensive capacity building programme for gender statistics Development of a comprehensive data production and dissemination system for gender statistics



Programme for capacity building in use of MIS, Development of meta data dictionaries to minimise duplication of efforts UBOS in collaboration with the sectors should develop a comprehensive system for data collection

• •

Undertake rigorous advocacy and sensitisation programmes on gender statistics (through high level sensitization seminars)

Strategies for improving MIS

Improving MIS • • •

Capacity building, Sector specific guidelines revised to ensure quality statistics are produced, Conduct high level seminars

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ANNEX B:

PROGRAMME FOR DATA PRODUCER WORKSHOP

Venue: Hotel Africana; Date: 20th-November-2008;

Time: 9:00am to 04:00pm

Theme: Matching Statistics and policy agendas for improved service delivery in Uganda OPENING SESSION 08.00 – 08.30 am 09.00 – 09.15 am

09:20 – 09:40am

Arrival & Registration Chair:

Participants Executive Director, UBOS

Opening by the Permanent Secretary, Office of the Prime Minister (OPM)

SESSION II Chair

Deputy Executive Director, Corporate Services, UBOS Planning and the need for statistics/indicators

09.45 – 10.10 am

NPA

10:15 – 10:35 am

MoFPED

10:40 – 11:00 am

TEA

11.05 - 11.15am

Chair & Discussant

11:20 – 11:40am

GENERAL DISCUSSION

11.45 – 12.10pm

UBOS

Matching statistics to policy and the budget framework

B

R

E

A

K

Ag. Director Policy & Coordination, OPM

Mainstreaming sector statistics in the NSS

SESSION III Director Gender and Community Development, MGLSD The role of Gender Statistics in policy and decision making processes

Chair 12:15 - 12:30pm

MoFPED,

12.30 – 1245pm

Dept. of Gender & Women Studies

12:45 – 01:00pm

GENERAL DISCUSSION

01.00 – 02.00 pm

L

U

N

Understanding Gender Issues and the Challenges of Compiling Gender Statistics

C H

SESSION IV Director, Statistical Coordination Services, UBOS

Chair

02:05 – 03:00pm

1.

Strategies for meeting increasing/changing user needs

2.

Matching sector statistics/ indicators to policy issues/development frameworks

3.

Strategies for mainstreaming production of Gender Statistics, and formation of the Uganda Gender Task Force.

Group Discussions

03:00 – 03:40pm

Participants

Plenary Discussion

03:45 – 04:00pm

Way Forward

04:05pm

Closure, UBOS, DED/SP&D

End

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ANNEX C:

SR.NO 1

LIST OF PARTICIPANTS

NAME Aheebwa Peninah

ORGANISATION MEMD

E-MAIL [email protected]

2

Atai M.Imelda

UBOS

[email protected]

3

Bantebya Grace

[email protected]

4

Basangwa Pros

Department of Women and Gender Studies,MUK Wakiso District

5

Baziwe Isaac

MEMD

[email protected]

6

Byaruhanga A. Deo

MTTI

[email protected]

7

Dhizaala Moses

NPA

[email protected]

8

Friday John

UWA

john.Friday@[email protected]

9

Guina Joshua

NARO

[email protected]

10

Gulere Grace

UBOS

[email protected]

11

Guloba Madina

EPRC

[email protected].

12

Kabaija Sarah

UNICEF

[email protected]

13

Kabuye Danton

MAAIF

[email protected]

14

Kagugube Johnson

UBOS

[email protected]

15

Kaidu Tina

URA

[email protected]

16

Kakande Margaret

MoFPED

[email protected]

17

Kanagwa David

UBOS

[email protected]

18

Kawule Prossy

Mukono District

19

Kigozi Jimmy

MTTI

[email protected]

20 21

Kihembo E. Kiingi Alice

MLHUD New vision

[email protected] [email protected]

22

Kiondo Peruth

MoJCA

[email protected]

23

Kirambaire Charles

URA

[email protected]

24 25

Kisakye Rose Kitimbo Stephen

UBOS UPF

[email protected] [email protected]

26 27

Kyeganwa Stephen Lubanga Timothy

UETCL OPM

[email protected] [email protected]

28

Lumala Solome

BOU

[email protected]

29

Lumbuye Isaak

DENIVA

[email protected]

30

Lutaya Jane Rose

UBOS

[email protected]

31

Luzze Andrew

UMA

32

Lwasa Peter

UETCL

[email protected]

33 34

Madaya Norah Mafabi Patrick

UBOS UNCST

[email protected] [email protected]

35

Magola Ruth

MoH

[email protected]

36

Maholo Denis

MAAIF

[email protected]

37

Male-Mukasa J.

UBOS

[email protected]

38

Manawo Philips

UPF

[email protected]

[email protected]

19

SR.NO 39

NAME Mashate Francis

ORGANISATION UBOS

E-MAIL [email protected]

40

Mayanja Catherine

UBOS

[email protected]

41

Mayanja Christopher

Mukono District

[email protected]

42 43

Menya James Mugambe Kenneth

LGFC MoFPED

[email protected] [email protected]

44

Muhoozi Stephen

Traffic Head quarters

45

Muluncha Henry

MoJCA

[email protected]

46 47

Mungyereza Ben Paul Musamali Alfred

UBOS UBOS

[email protected] [email protected]

48

Muwonge James

UBOS

[email protected]

49

Nabeeta W.Hope

UIA

[email protected]

50

Nakalembe Sophia

Wakiso District

51

Nalugya Prossy

DENIVA

52

Namalike Teddy

UBOS

53

Nankebe Sarah

DENIVA

[email protected]

54

Nanyonga Annet

MoES

[email protected]

56

Nassolo Jude

MGLSD

[email protected]

57

Ndikuryayo Richard

MGLSD

[email protected]

58

Nimbaasa Boaz

MoFA

[email protected]

59

Ninsiima Doreen Kasozi

UBOS

[email protected]

60

Nsereko David

MLHUD

[email protected]

61

Nuwamanya Joe

OPM

[email protected]

62

O.Jesca

UPF

[email protected]

63

Ogaro E.W.

MLHUD

[email protected]

64

Ogwal Moses

PSFU

[email protected]

65

Okot Okello B.

MTTI

[email protected]

66

Onyai Fred

NEMA

[email protected]

67

Opio Peter

UBOS

[email protected]

68

Oryokot Teddy

UBOS

[email protected]

69

Senkunda S.

MWE

[email protected]

70

Smith David Rider

OPM

[email protected]

71

Soren Jegindo

DENIVA

[email protected].

72 73

Tenywa Edward Turyasiima M.

BOU MGLSD

[email protected] [email protected]

74

Twesigye Byron

UBOS

[email protected]

75 76 77 78

Wakooli Watson Walulya Lawrence Wawuya George Womaniala W.

MWE MLHUD MLHUD UBOS

[email protected] [email protected]

[email protected]

[email protected]

20