Post on 03-Jan-2017
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
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Published 2009 Published by: Directorate of Statistical Coordination Services Uganda Bureau of Statistics
Address: Plot 9 Colville Street P.O. Box 7186 Kampala Tel: 256-041-706000 Fax: 256-041-237553 Email: ubos@ubos.org Website: 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 sub-
national 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 needed to inform planning at
Sectoral/macro-level, 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
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 +/- LK
Total population Total National land area 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;
Figure A, illustrates how the district pupil
classroom ratio of 50:1 is translated into
budget allocations through using national
level statistics in line the MoES policy.
Figure A: illustrates how the district pupil
classroom ratio of 50:1 is translated into
budget allocations through using national
level statistics in line the MoES policy.
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Figure B: Measure the impact of Budget Interventions
3.2.3 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;
Government keeps the public aware of policy formulation and budget processes.
The civil society also plays a key role in reviewing the process.
Some of the key challenges including issues of incomplete and unreliable routine
datasets remain an issue within the MDAs.
Situations of data redundancy, duplication and resource wastage undermine the
comparability of datasets across the National Statistical System.
Routine inspection of activities and bureaucratic processes at both local
Government and sectoral levels remain a challenge.
The Evaluation function is relatively under developed across the sectors.
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;
• 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.
6.2 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 Group 3
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
• User requests • Stakeholder meetings • User needs assessment
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
• Producing and disseminating
information based on user demand. Satisfaction is subjective
Expansion of current data systems to include more variables
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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
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
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
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Discussion topics Group 1 Group 2 Group 3
Proposed strategies
• 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)
• Develop a comprehensive capacity
building programme for gender statistics
• Development of a comprehensive data production and dissemination system for gender statistics
• Undertake rigorous advocacy and
sensitisation programmes on gender statistics (through high level sensitization seminars)
Question 5 Strategies for improving MIS
Improving MIS • 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
• 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 Arrival &
Registration Participants
09.00 – 09.15 am Chair: Executive Director, UBOS
09:20 – 09:40am
Opening by the Permanent Secretary, Office of the Prime Minister (OPM)
SESSION II Chair Deputy Executive Director, Corporate
Services, UBOS 09.45 – 10.10 am NPA Planning and the need for statistics/indicators
10:15 – 10:35 am MoFPED Matching statistics to policy and the budget framework
10:40 – 11:00 am T E A B R E A K
11.05 - 11.15am Chair & Discussant Ag. Director Policy & Coordination, OPM
11:20 – 11:40am GENERAL DISCUSSION
11.45 – 12.10pm UBOS Mainstreaming sector statistics in the NSS
SESSION III
Chair Director Gender and Community Development, MGLSD
12:15 - 12:30pm MoFPED,
The role of Gender Statistics in policy and decision making processes
12.30 – 1245pm Dept. of Gender & Women Studies
Understanding Gender Issues and the Challenges of Compiling Gender Statistics
12:45 – 01:00pm GENERAL DISCUSSION
01.00 – 02.00 pm L U N C H
SESSION IV
Chair Director, Statistical Coordination Services, UBOS
02:05 – 03:00pm
Group Discussions
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.
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: LIST OF PARTICIPANTS
SR.NO NAME ORGANISATION E-MAIL 1 Aheebwa Peninah MEMD peninah@energy.go.ug 2 Atai M.Imelda UBOS imelda.atai@ubos.org 3 Bantebya Grace Department of Women and
Gender Studies,MUK gbantebya@yahoo.com
4 Basangwa Pros Wakiso District prosbasa@yahoo.com
5 Baziwe Isaac MEMD baziwe@energy.go.ug 6 Byaruhanga A. Deo MTTI dbyaruhanga@mtti.go.ug
7 Dhizaala Moses NPA smdhizaala@npa.ug
8 Friday John UWA john.Friday@wha@0r.ug
9 Guina Joshua NARO jmguina@naro.go.ug
10 Gulere Grace UBOS grace.gulere@ubos.org 11 Guloba Madina EPRC guloba@eprc.or.ug.
12 Kabaija Sarah UNICEF skabaija@unicef.org
13 Kabuye Danton MAAIF kabuyedanton@gmail.com
14 Kagugube Johnson UBOS jkagugube@yahoo.com
15 Kaidu Tina URA tkaidu@ura.go.ug 16 Kakande Margaret MoFPED Margaret.kakande@finance.go.ug 17 Kanagwa David UBOS david.kanagwa@ubos.org 18 Kawule Prossy Mukono District 19 Kigozi Jimmy MTTI jkigozi@mtti.go.ug 20 Kihembo E. MLHUD kihedsona@yahoo.com 21 Kiingi Alice New vision alistein200@yahoo.co.uk 22 Kiondo Peruth MoJCA peruthn@yahoo.com 23 Kirambaire Charles URA ckirambaire@gmail.com 24 Kisakye Rose UBOS rosemary.kisakye@ubos.og 25 Kitimbo Stephen UPF kitimbostephen@yahoo.com 26 Kyeganwa Stephen UETCL stephen.kyeganwa@uetcl.com 27 Lubanga Timothy OPM tklubanga@yahoo.com 28 Lumala Solome BOU slumala@bou.or.ug 29 Lumbuye Isaak DENIVA ilu@deniva.or.ug 30 Lutaya Jane Rose UBOS jane.rose.lutaya@ubos.org 31 Luzze Andrew UMA 32 Lwasa Peter UETCL peter.lwasa@uetcl.com
33 Madaya Norah UBOS norah.madaya@ubos.og 34 Mafabi Patrick UNCST pmafabi@uncst.co.ug
35 Magola Ruth MoH rkmagola@yahoo.com
36 Maholo Denis MAAIF maholo73@yahoo.co.uk
37 Male-Mukasa J. UBOS john.malemukasa@ubos.og 38 Manawo Philips UPF phalmansasah@gmail.com
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SR.NO NAME ORGANISATION E-MAIL 39 Mashate Francis UBOS francis.mashate@ubos.org 40 Mayanja Catherine UBOS catherine.mayanja@ubos.org 41 Mayanja Christopher Mukono District mayanjac@hotmail.com 42 Menya James LGFC james.menya@igfc.go.ug 43 Mugambe Kenneth MoFPED kenneth.mugambe@finance.go.ug
44 Muhoozi Stephen Traffic Head quarters
45 Muluncha Henry MoJCA mhenry@justice.go.ug 46 Mungyereza Ben Paul UBOS ben.mungyereza@ubos.org 47 Musamali Alfred UBOS alfred.musamal@ubos.org 48 Muwonge James UBOS james.muwonge@UBOS.org 49 Nabeeta W.Hope UIA wairah@ugandainvest.com 50 Nakalembe Sophia Wakiso District 51 Nalugya Prossy DENIVA pna@deniva.or.ug 52 Namalike Teddy UBOS
53 Nankebe Sarah DENIVA nankeensara@yahoo.com 54 Nanyonga Annet MoES ananyonga@education.go.ug
56 Nassolo Jude MGLSD nassolojudith@yahoo.co.uk 57 Ndikuryayo Richard MGLSD ndiku@mglsd.go.ug
58 Nimbaasa Boaz MoFA nimbasa200@yahoo.com
59 Ninsiima Doreen Kasozi UBOS Doreen.ninsiima@ubos.org
60 Nsereko David MLHUD nsereko@mwle.go.ug
61 Nuwamanya Joe OPM nuwamanya@opm.go.ug
62 O.Jesca UPF jorodiyo@yahoo.com
63 Ogaro E.W. MLHUD ogaroe@mwle.go.ug 64 Ogwal Moses PSFU mogwal@psfuganda.org.ug 65 Okot Okello B. MTTI oko2004t@yahoo.co.uk
66 Onyai Fred NEMA fonya@nema.ug.org
67 Opio Peter UBOS Peter.opio@ubos.org
68 Oryokot Teddy UBOS teddy.oryokot@ubos.org
69 Senkunda S. MWE senkund@gmail.com
70 Smith David Rider OPM david.rider.smith@gmail.com 71 Soren Jegindo DENIVA sje@deniva.or.ug. 72 Tenywa Edward BOU etenywa@bou.or.ug 73 Turyasiima M. MGLSD mturyasiima@hotmail.com
74 Twesigye Byron UBOS btwesigye@yahoo.com
75 Wakooli Watson MWE Watson.wakooli@mwe.go.ug 76 Walulya Lawrence MLHUD lwalulya@mwle.go.ug 77 Wawuya George MLHUD 78 Womaniala W. UBOS wwomaniala@yahoo.com