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GHANA STATISTICS DEVELOPMENT PLAN
2009-2013
November, 2008
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Table of Contents Page Abbreviations and Acronyms ........................................................................................................... v
FOREWORD ............................................................................................................................. vii
PREFACE ................................................................................................................................... ix
EXECUTIVE SUMMARY ............................................................................................................. xi
1. Background to the Strategic Plan Design ..................................................................................... 1
1.1 RATIONALE FOR THE STRATEGIC PLAN ............................................................................................................................ 1 1.2 THE OBJECTIVES OF THE STRATEGIC PLAN ................................................................................................................... 2 1.3 PARTICIPATION IN THE PLAN PREPARATION ................................................................................................................... 3
2. The National Statistical System .................................................................................................... 5
2.1 THE COMPOSITION OF THE NATIONAL STATISTICAL SYSTEM (NSS) IN GHANA .................................................................... 5 2.2 THE ROLE OF NSS DATA PRODUCING AGENCIES .......................................................................................................... 6
2.2.1 The Statistical Service .............................................................................................................................. 6 2.2.2 The Sector Ministries, Departments and Agencies (MDAs) ..................................................................... 7
2.3 STAKEHOLDERS OF THE NATIONAL STATISTICAL SYSTEM ..................................................................................................... 9 2.4 DATA PRODUCTION BY THE NATIONAL STATISTICAL SYSTEM.............................................................................................. 10
2.4.1 Administrative Data .................................................................................................................................... 10 2.4.2 Sample survey data ................................................................................................................................ 10 2.4.3 Surveillance data .................................................................................................................................... 11 2.4.4 Census data ........................................................................................................................................... 13 2.4.5 Areas of statistics production ................................................................................................................ 13 2.4.6 Data quality .......................................................................................................................................... 14
2.5 THE NSS HUMAN RESOURCES ............................................................................................................................... 16 2.6 CONSTRAINTS AND CHALLENGES OF THE NSS ................................................................................................................ 18
2.6.1 GSS as the coordinating institution ............................................................................................................. 18 2.6.2 MDA Statistical Units as collaborating institutions ..................................................................................... 18
3. SWOT Analysis of the National Statistical System .................................................................... 19
3.1 STRENGTHS ......................................................................................................................................................... 19 3.2 WEAKNESSES ...................................................................................................................................................... 19 3.3 OPPORTUNITIES ....................................................................................................................................................... 20 3.4 THREATS ................................................................................................................................................................ 21 3.5 STRATEGIES TO AMPLIFY STRENGTHS AND ELIMINATE WEAKNESSES ................................................................................... 21
4. Vision, Mission, Core Values and Goals for Developing the NSS ............................................ 23
4.1 VISION ................................................................................................................................................................... 23 4.2 MISSION ................................................................................................................................................................ 23 4.3 CORE-VALUES ......................................................................................................................................................... 23 4.4 GOALS ................................................................................................................................................................... 23
4.4.1 Main goal .............................................................................................................................................. 24 4.4.2 Specific goals ......................................................................................................................................... 24
5. Strategic Plan for National Statistical Development .................................................................. 25
5.1 ISSUES IN THE NATIONAL STATISTICAL DEVELOPMENT ..................................................................................................... 25 5.2 FRAMEWORK FOR DATA DEVELOPMENT AND MANAGEMENT ........................................................................................... 29
5.2.1 Economic statistics and related indicators ............................................................................................. 30 5.2.2 Statistical inquiries ................................................................................................................................ 31
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5.2.3 Dissemination of the data ...................................................................................................................... 35 5.3 THRUST OF THE STRATEGIC PLAN ................................................................................................................................ 35
5.3.1 Core objective ........................................................................................................................................ 35 5.3.2 Strategic objectives ................................................................................................................................ 36
6. Strategic Plan Implementation, Monitoring and Evaluation ....................................................... 37
6.1 INSTITUTIONAL SETUP ............................................................................................................................................... 37 6.1.1 NSS Coordinating Secretariat ................................................................................................................ 37 6.1.2 NSS Steering Committee ........................................................................................................................ 38 6.1.3 NSS Technical Committee ..................................................................................................................... 38 6.1.4 Ad-Hoc Committees ............................................................................................................................... 39 6.1.5 Technical Advisers ................................................................................................................................. 39 6.1.6 Consultants ........................................................................................................................................... 40 6.1.7 Society of Official Statisticians of Ghana.............................................................................................. 40 6.1.8 Project reporting ................................................................................................................................... 41
6.2 TIME SCHEDULE FOR PLAN IMPLEMENTATION ................................................................................................................ 41 6.3 MONITORING THE PLAN IMPLEMENTATION ................................................................................................................... 41 6.4 EVALUATION OF THE STRATEGIC PLAN OUTCOMES ......................................................................................................... 41
7. Budget for the Plan Implementation and Financing ................................................................... 44
7.1 SUMMARY OF ACTIVITIES FOR DEVELOPING NATIONAL STATISTICS ..................................................................................... 44 7.2 THE ESTIMATED COST OF THE STRATEGIC PLAN .............................................................................................................. 46 7.3 FINANCING THE ESTIMATED COSTS OF THE STRATEGIC PLAN ............................................................................................. 49 7.4 RATIONALISATION AND PRIORITIZATION OF BUDGET ....................................................................................................... 49
References ....................................................................................................................................... 52
Annexes........................................................................................................................................... 56
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List of Tables
Table 1: Routine Surveys Conducted by the Ghana Statistical Service/MDAs ............................. 12
Table 2: Censuses Conducted by the Ghana Statistical Service ..................................................... 13
Table 3: Current NSS Staff by Subject ........................................................................................... 17
Table 4: Activity Implementation Performance Indicators ............................................................ 42
Table 5: Annual, Three-Year and Five-Year Unadjusted Costs of Activities (US$’000) ............. 47
Table 6: Activities and Estimated Costs of GSDP by Sector (US$’000) ....................................... 48
Table 7: Estimated Budget Adjusted for Inflation and Contingency (US$’000) ........................... 48
Table A1: United Nations Fundamental Principles of Official Statistics ....................................... 57
Table A2: Categories of Institutions for the NACPUS .................................................................. 58
Table A3: Statistical Production: Types of Statistics and Data Sources ....................................... 61
Table A4: Statistics Required to Monitor Developmental Programmes and Projects ................... 67
Table A5: Capacity Building Requirements of the National Statistical System ............................ 75
Table A6: Gaps in Statistics produced to Monitor Development Programmes .............................. 78
Table A7: Censuses and Surveys Programme 2009-2013 .............................................................. 80
Table A8: Time Schedule for Plan Implementation ..................................................................... 84
Table A9: Log-Frame for the Strategic Plan for Statistical Development ...................................... 86
Table A10: Situation Analysis of MDA Statistical Units ............................................................... 91
Table A11: Statistical Units of Selected MDAs ............................................................................ 99
Table A12: Log frame of strategic plans of sector statistical development .................................. 107
Table A13: The GSDP Design Team............................................................................................ 130
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Abbreviations and Acronyms
AfDB African Development Bank
AGI Association of Ghanaian Industries
APRM African Peer Review Mechanism
AU African Union
BDR Births and Deaths Registry
BoG Bank of Ghana
BoP Balance of Payments
CBS Central Bureau of Statistics
CEPA Centre for Economic Policy Analysis
COCOBOD Ghana Cocoa Board
CPI Consumer Price Index
CRD Central Repository Database
CSO Civil Society Organisation
CWIQ Core Welfare Indicators Questionnaire
DHS Demographic and Health Survey
DPCU District Planning Coordinating Unit
DPs Development Partners
DQAF Data Quality Assessment Framework
DTS Distributive Trade Survey
EA Enumeration Area
ECOWAS Economic Community of West African States
EPA Environmental Protection Agency
GAC Ghana Aids Commission
FAGE Federation of Association of Ghanaian Exporters
GDP Gross Domestic product
GDHS Ghana Demographic and Health Survey
GHS Ghana Health Service
GEPC Ghana Export Promotion Council
GIPC Ghana Investment Promotion Council
GLSS Ghana Living Standards Survey
GPRS I Growth and Poverty Reduction Strategy I
GPRS II Growth and Poverty Reduction Strategy II
GSDP Ghana Statistics Development Plan
GSS Ghana Statistical System
HIES Household Income and Expenditure Survey
HIV/AIDS Human Immunodeficiency Virus / Acquired Immuno-Deficiency Syndrome
IBES Integrated Business Establishment Survey
ICT Information Communication Technology
IEA Institute of Economic Affairs
ISSER Institute of Statistical, Social and Economic Research
MDAs Ministries, Departments and Agencies
MMDAs Metropolitan, Municipal and District Assemblies
MDGs Millennium Development Goals
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MLGRD Ministry of Local Government and Rural Development
MICS Multiple Indicators Cluster Survey
MMYE Ministry of Manpower, Youth and Employment
MOA Ministry of Aviation
MOC Ministry of Communication
MOESS Ministry of Education, Science and Sports
MOF Ministry of Fisheries
MOFA Ministry of Food and Agriculture
MOFEP Ministry of Finance and Economic Planning
MOH Ministry of Health
MOLFM Ministry of Lands, Forestry and Mines
MOR Ministry of Roads
MOTIPSD/PSI Ministry of Trade, Industry, Private Sector Development and President’s
Special Initiative
MOWAC Ministry of Women and Children’s Affairs
MPHR Ministry of Ports, Harbours and Railways
MUT Malta Union of Teachers
NACPUS National Advisory Committee of Producers and Users of Statistics
NCCE National Commission for Civic Education
NACVET National Coordination Committee for Vocational Education and Training
NDPC National Development Planning Commission
NEPAD New Partnership for African Development
NHIS National Health Insurance Scheme
NGO Non-Governmental Organisation
NVT National Vocational Training
GSDP National Strategy for Development of Statistics
NSS National Statistical System
OAU Organisation of Africa Unity
OGS Office of Government Statistician
PARDIC Public Administration Restructuring and Decentralisation
Implementation Committee
PETS Public Expenditure Tracking Survey
PHC Population and Housing Census
PSU Primary sampling Unit
PNDCL Provisional National Defense Council Law
PPI Producer Price Index
PPMED Policy Planning Monitoring and Evaluation Division
SRID Statistics, Research and Information Directorate
RSIM Research, Statistics and Information Management
SSPS Sector Strategic Plan for Statistics
SSWGs Statistics Sectoral Working Groups
SWOT Strengths, Weaknesses, Opportunities and Threats
TB Tuberculosis
TIDS Transport Indicators Database Survey
TSA Tourism Satellite Accounts
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FOREWORDFOREWORDFOREWORDFOREWORD
fficial statistics are a public good and have been used by many,
including the Government machinery; institutions ─ governmental
and nongovernmental; businesses ─ public, private, and joint; investors ─
actual and potential; community groups; as well as civil society at large, to
inform decision making at all levels. They have served a variety of
purposes ─ for planning, management, monitoring and evaluation, as
well as to inform of and appraise policy outcomes. These statistics have
generally been generated from various sources, ranging from the routine
processes of government administrative machineries, such as the
ministries, departments and agencies (MDAs) and metropolitan, municipal and district
assemblies (MMDAs), to planned data collection exercises, such as the large scale surveys and
censuses that the Ghana Statistical Service (GSS), and other agencies conduct. Statistics
production has, however, not received the needed institutional and financial support, in spite of
legal provisions established over 15 years ago.
The scope and diversity of statistical needs and data requirements, coupled with the
uncoordinated production of data, has created a situation in which the demand for statistics
remains largely unmet, while the deficit in the supply of quality and relevant statistics has
continued to widen. Concomitantly, there has evolved a multiplicity of data producers,
endeavouring to meet their own specific and often specialized need, resulting in a field
characterized by a proliferation of indicators, inconsistent concepts and conflicting statistics.
The ensuing crisis in the credibility of the national statistical system has been a great concern to
many stakeholders, particularly the Government, and is a unique opportunity for the changes
that the Ghana Statistics Development Plan (GSDP) promulgates.
Fundamentally, the Plan seeks to ensure that all MDAs and MMDAs fulfill their respective legal
mandates as regards not only the production but also the use of statistics, as directed by the
Civil Service Law and the Statistical Service Act. The 1993 Civil Service Law, in
acknowledgement of the importance of statistics, requires that a “Research, Statistics, Public
Relations and Information” Division be set up as one of the four basic divisions in the
organizational structure of a Ministry (PNDC Law 327, Section 12); while the Statistical Service
Act underscores the crucial importance of cooperation, directing GSS to organize a coordinated
scheme of economic and social statistics; and the public services and other organizations to
collaborate with the Government Statistician in the collection, compilation, analysis and
publication of statistics (PNDC Law 135, Sections 9 and 10).
Although development plans are not new in the country, the GSDP is the first for system-wide
development of statistics. This Plan has been an outcome of an interagency collaboration to
streamline the production of statistics. The participatory approach adopted in the preparation
of this strategic Plan, has both apprised the wide constituents of stakeholders of their
respective roles in the national statistical system, and rallied support from all segments of the
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system, including development partners towards the implementation of the Plan. Its success
will depend very much on strengthening the old and forging new partnerships, ensuring that all
actors in the national statistical system (NSS) capitalize on this opportunity to contribute
effectively to the phases of the statistics production process.
We commend all who have supported and contributed to this work. It is our expectation that
the next five years will usher us into a new era of improved statistical production, dissemination
and effective utilization. We therefore call on other stakeholders to partner with government
to further these efforts and ensure the successful implementation of this historical initiative.
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PREFACEPREFACEPREFACEPREFACE
ith many government programmes currently directed on
poverty reduction, statistics have been in high demand in the
last decade. It is also generally recognized that effective use of
statistics has been integral to the success of not only the advanced
countries, but also of the fast developing economies. As Ghana
approaches its final year of the second poverty reduction strategy
programme, (GPRS II), and embarks on a long term plan that is expected to
propel the country into middle income status, the timely availability of
quality statistics are indispensible for effective targeting, monitoring and
evaluation of these interventions. This strategy for the development of statistics therefore
responds to the expressed need for policy-oriented data covering all the major programming
areas.
This Ghana Statistics Development Plan (GSDP) aims to align the development of the country’s
statistical system with the wider poverty-focused national development programmes and global
reporting requirements. Its focus is primarily on the enhancement of the entire National
Statistical System (NSS), which comprises all data producers. This Plan provides us with a shared
vision in terms of where stakeholders envisage the NSS to be in five years, a definition of how
to achieve the vision through the adoption of specific action plans, and strategic objectives.
The Plan has been prepared on the basis of assessments on the capacities of data producers
and gaps in the entire statistical system. More in-depth analysis and strategic directions were
derived from sector plans of ten MDAs that participated in this first phase of the exercise. The
remaining sectors will be assisted to develop their sector plans in the next phase; but all MDAs
are expected to benefit from the capacity building programmes provided for in the current
Plan. With the development and implementation of the Strategic Plan, we can now expect a
more synergetic and consistent delivery of statistical products and services, consistent with
standardised statistical concepts, definitions and classification within the National Statistical
System.
The Ghana Statistical Service would like to thank all those who, in diverse ways, contributed to
the development of this Plan. Our first and foremost appreciation goes to the African
Development Bank (AfDB), the United Nations Development Programme (UNDP), and the
World Bank, for providing the financial support for the entire process of developing this
document. We are also grateful to Prof. Ben Kiregyira, Director, African Statistics Centre,
United Nations Economic Commission for Africa; Dr. O. O. Ajayi, Consultant; Mr. Richard Harris,
DFID; John Ngwafon, World Bank; Kim Bradford-Smith, DFID; and Dr. Victor Nyanteng,
Consultant; and all who facilitated various stages of the document preparation.
We also acknowledge the support and contributions of our development partners and for their
technical advice, which helped to enrich the document. We are also thankful to the sectors
that were involved in the assessment and provided inputs to the Strategic Plan document. Last,
but not the least, we offer our sincere appreciation to the design team who worked diligently,
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day and night, to prepare this document; this document would not have seen the light of the
day without their significant contribution.
DR. GRACE BEDIAKO
GOVERNMENT STATISTICIAN
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EXECUTIVE SUMMARY
he usefulness of statistics to support policy formulation, decision-making, monitoring and
evaluation of socio-economic development programmes and projects, has long been
recognized. Beginning with the setting up, in 1948, of the office of the Government
Statistician, the system has continued to evolve, as have the data requirements. The types of
statistics required to plan and monitor socio-economic development have also increased
significantly in number and in complexity. An additional set of statistical data would be
required, with the expansion of uses, i.e., to monitor the progress towards the achievement of
several major initiatives such as the Millennium Development Goals (MDGs), the Growth and
Poverty Reduction Strategy (2006 to 2009), and the New Partnership for African Development
(NEPAD).
The Ghana Statistical Service (GSS) is the central agency in Ghana, mandated to produce and
disseminate official statistics. The sector ministries, by virtue of their functions, also produce
official statistics, which are relevant to their respective work programmes. With the
decentralisation of public administration to the 170 districts in the country, the production of
official statistics has also dispersed to the districts. Inadequate statistical infrastructure in many
of the sector ministries, and currently the districts, is a major constraint in the production of
reliable and timely statistical data for the country. Many of the districts have, thus far, been
unable to establish statistical units within the districts that could effectively generate and use
the required statistical data. Given that the need for statistical data as well as their production
cuts across, geographical areas of the country, sectors and administrative districts, it is essential
that the many aspects of the production of statistical data be well coordinated, standardized
and harmonised.
This Strategic Plan is a framework to ensure the comprehensive, effective and sustainable
development of statistics in the country. The Plan seeks to involve all the stakeholders in the
National Statistical System (NSS)—data suppliers, statistics producers, data users, training
institutions, the local and international organizations, and development partners—in the
development of statistics to ensure effective implementation of the Strategic Plan. It addresses
the key problems and constraints that prevent the NSS from effectively producing the required
quality official statistical data. The problems and constraints revealed by situational and SWOT
analyses formed the basis for the design of the Strategic Plan.
The thrust of the Strategic Plan that seeks to amplify the strengths and eliminate the
weaknesses in the national statistical system are as follows:
(a) Build the capacity of the statistics units of the sector Ministries and the districts to enable
them to produce quality statistics; such capacity building will include periodic and timely
training of statisticians on the job.
(b) Improve the capacity of staff of the Ghana Statistical Service so they can effectively
perform their assigned roles in the National Statistical System, including provision of
technical back-up for the production of statistical data in the sector ministries and the
districts.
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(c) Reduce contradictions, inconsistencies and duplications in official statistics.
(d) Harmonise concepts, definitions, classification, survey methods, etc., in the decentralised
statistical system.
(e) Improve the dissemination of official statistics and access to users.
(f) Ensure continuity and timeliness in the production and dissemination of statistical data.
(g) Create awareness for the importance of statistics, and to advocate and lobby for
adequate resources for statistics production and dissemination within and across the
sector Ministries and districts.
The Strategic Plan covers a period of five years. For effective implementation and monitoring, it
is proposed that a coordinating secretariat be established at the Ghana Statistical Service and
an experienced coordinator appointed from within or outside the Service. The establishment of
two committees is proposed, namely, (a) Steering Committee to oversee the orderly
implementation of the Strategic Plan and (b) Technical Committee to provide timely periodic
advice on changes required in the Strategic Plan in order to maintain the focus needed to
achieve the set goals.
The programme will employ existing institutional mechanisms for reporting and keeping the
government machinery informed of the progress in implementation for sustained institutional
backing. These arrangements for reporting include: the Chief Directors’ Forum, the Council of
State, the cabinet, the relevant parliamentary committee, and the meeting of MMDA
executives. Another group which will be kept informed is the M&E group which is chaired
jointly by the Government of Ghana, represented by the Director-General of the National
Development Planning Commission (NDPC), and a representative of the development partners
(DP).
The estimated total budget, excluding inflation and the contingency for the Plan
implementation over a five year period, is US $121,887,992. The funds required for revamping
the system, building the capacity of the staff system-wide, and establishing the ICT
infrastructure and statistical infrastructure amount to US$9,008,295 while recurrent
expenditure is US$17,794,785. An additional US$32,060,021 is budgeted for annual household-
based and establishment-based surveys, including collection of price statistics at the producers’
and consumers’ levels. An amount of US$62,114,891 is required for two programmed
censuses—the 2010 Population and Housing Census, and the 2011 Agricultural Census. The
total cost for the first year alone is US $26,507,930, and the cost for the first three years is US
$96,813,090.
The sources of funding for the Strategic Plan are expected to include the following:
(i) Government of Ghana,
(ii) Development Partners
(iii) Local and International Organisations
1. Background to the Strategic Plan Design
1.1 Rationale for the Strategic Plan
The last two decades have witnessed an unprecedented increase in the demand for official
statistical data. This increase comes about as a result of the use of an “evidence-based policy-
making” approach to decision making in development-related initiatives. The demand for
better statistics is not only being championed by statisticians, but at the highest political levels,
as well as businesses, organisations, NGOs and individual citizens. There is, for example the
need to monitor the implementation and evaluate the achievements of the Growth and Poverty
Reduction Strategy (GPRS), the Millennium Development Goals (MDGs) and the New
Partnership for African Development (NEPAD). There are many other national programmes
that require statistical data to monitor and evaluate their effectiveness. Some of the areas for
which statistics are urgently required are: HIV-AIDS, employment and unemployment,
enrollment of students in primary, secondary and tertiary institutions, etc.
A significant component of the new demand for statistics is from the renewed emphasis the
Government has placed on better planning for development outcomes, under the leadership of
the National Development Planning Commission (NDPC). Building on the experience from two
cycles of poverty reduction strategies, the current initiative of NDPC is for the adoption of a
long-term development plan. This planning orientation is being supported with a coherent
monitoring and evaluation (M&E) framework, coordinated by NDPC. There is, however, no
corresponding statistics framework that responds to the data requirements of the M&E system
and would ensure the success of these planning efforts. It is therefore necessary that the data
producers of the National Statistical System (NSS) be organized so as to advance the M&E goals
not only at the national level, but also of the sectors and districts. Moreover, while several of
the MDAs have produced their sector plans, and an increasing number of district assemblies
(DAs) have prepared their plans, under the guidance of NDPC, no parallel effort has been made
towards producing statistics plans for the sectors or the districts. The up-scale planning effort
from the national to the decentralised levels of government administration requires a
coordinated system of statistical production and dissemination, which has hitherto not been
available.
While several steps have been taken to address the weaknesses of the NSS, these attempts
have themselves been uncoordinated, sector focused, and oriented towards solving specific
problems. They have touched more on the symptoms than the root causes of these
deficiencies. Moreover, only a few key institutions, such as the Ghana Statistical Service and the
statistical units of a selected Ministries, notably, the Ministry of Women and Children’s Affairs
(MOWAC), Ministry of Education, Science and Sports (MOESS), Ministry of Food and Agriculture
(MOFA), Ministry of Health (MOH)/Ghana Health Service (GHS), and the Ministry of Trade,
Industry, Private Sector Development and President’s Special initiatives (MOTI, PSD & PSI), have
tended to benefit from most of these interventions. The fragmented approach has failed to
bring the necessary efficiency requirements in the statistical system, and in some cases have
perpetuated the independence syndrome among agencies of the NSS. One project that
specifically addressed the issue of coordination and sought to enhance efficiency in the
production of statistics within the system as a whole, led to the establishment of the National
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Advisory Committee of Producers and Users of Statistics (NACPUS), in the late 1980s.
Unfortunately, NACPUS has been unable to achieve its objectives. (See Annex Table A2).
More recently, Ghana, like many other countries has sought to tackle issues regarding the
quality of data by subscribing to the IMF’s General Data Dissemination System (GDDS). The
GDDS, for instance, promotes coordination among the various agencies responsible for the
production and dissemination of official statistics. The coverage of subject areas is however
limited, mainly to economic and financial statistics, while the social statistics component is yet
to be fully developed.
The Ghana Statistics Development Plan (GSDP) builds on existing frameworks, such as GDDS,
and covers range of statistics needed to monitor and evaluate the poverty reduction strategies.
It aims for an effective statistical system that would not only provide the needed support to the
M&E frameworks of national, sector, and district development plans but should also make
relevant and reliable statistics easily accessible to all categories of stakeholders—government
institutions, businesses, community and civil society groups, and individuals, including
researchers and academicians. The Plan adopts a system-wide approach to statistical
development to respond to the emerging needs for national development planning, national,
sector-specific, and sub-national M&E applications, and decision-making at all levels. It deals
with legal and institutional issues, identifies technical assistance and training needs, estimates
the costs of implementing the strategy, and explains how these costs will be financed. Its
strategy is to ensure: (i) harmonisation among the statistics producers in the country and the
use of internationally acceptable methodologies, concepts, definitions, classification, etc. in the
production of statistics; (ii) strengths and synergies within the system maximised; and (iii) areas
of weaknesses and deficiencies are addressed.
1.2 The Objectives of the Strategic Plan
The preparation of the Ghana’s strategy for statistical development has been undertaken in
recognition of the need to mitigate the perennial constraints faced by the entire statistical
system in the production of statistics to meet emerging demands, and increase the availability
of quality official statistics in order to:
(a) Provide a quantitative basis for informed decision-making in planning for socio-economic
development,
(b) Stimulate effective and unbiased monitoring of development programmes and projects,
and
(c) Evaluate the outcomes of development programmes and projects.
Among the objectives of the Strategic Plan are the following:
(a) Ensure orderly and sustained development of statistics in the country;
(b) Ensure that the National Statistical System (NSS) is well placed to produce the
statistics required to monitor and evaluate the goals and outcomes of developmental
programmes and projects;
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(c) Ensure that the NSS is able to attract and retain professional statisticians and obtain
adequate funding for statistical activities; and
(d) Advocate for proper recognition for statistics in planning, decision-making and
adequate support for the production of statistics.
1.3 Participation in the Plan Preparation
A participatory approach was used in the design of the Strategic Plan, with a series of
consultations (Box 1.1) being conducted with a range of stakeholders, both within the National
Advisory Committee of Producers and Users of Statistics (NACPUS) group and outside the
group, at various stages of the preparation of the document, at the national and regional levels.
The Regional Planning Coordinating Units (RPCUs) and the District Planning Coordinating Units
DPCUs) were consulted for their inputs. Of this, 10 MDAs were identified as major partners in
the first phase of the plan. These were both producers and users of statistics, and contributed
to the exercise by developing their own sector plans that were consolidated into the system-
wide plan. The participating sectors were:
(i) Ghana Statistical Service (GSS)
(ii) Ministry of Communication (MOC)
(iii) Ministry of Education, Science and Sports (MOESS)
(iv) Ministry of Food and Agriculture (MOFA)
(v) Ministry of Health (MOH)
(vi) Births and Deaths Registry (B&D)
(vii) Ministry of Lands, Forestry and Mines (MOLFM)
(viii) Ministry of Manpower Youth and Employment (MMYE)
(ix) Ministry of Trade, Industry, Private Sector Development and President’s Special
initiatives (MOTI, PSD & PSI)
(x) Ministry of Women and Children Affairs (MOWAC)
In addition, the Ministry of Finance and Economic Planning (MOFEP) and the National
Development Planning Commission (NDPC) provided the perspective of primary users of
statistics, with technical inputs and direction in terms of data requirements for planning,
monitoring and evaluation of development programmes.
The Plan should be especially beneficial for the monitoring and evaluation (M&E) system, of
which the NDPC is the lead agency. The improvements in statistics expected from the
successful implementation of the plan, will greatly enhance the coverage and analytical content
of the Annual Progress Report (APR) on the GPRS, and its potential for timely production of
these and other monitoring reports.
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Box 1.1: Strategic Plan Preparation Process
The preparation of the Strategic Plan for the development of statistics in the country was led by the Ghana Statistical Service
(GSS).
Step 1
A three-day workshop was organised in the mid-2006 to: (i) inform all stakeholders in the national statistical system of a
proposal to develop a comprehensive national Strategic Plan to improve the production of official statistics; (ii) discuss the
role and inputs expected from the stakeholders, and (iii) develop a roadmap for the production of the Strategic Plan.
Step 2
A workshop was held to launch the formal beginning of the preparation of the national Strategic Plan in the third quarter of
2006. The workshop was facilitated by African Development Bank consultant, Prof. Ben. Kiregyera from Uganda, with
presentation on national statistical systems in Africa and effective approach to prepare a national Strategic Plan for the
development of statistics.
Step 3
An internal workshop of divisional heads of the Ghana Statistical Service on institutional arrangements for the preparation of
the plan was held.
Step 4
The international consultant’s accompanied by some staff of the GSS visited some Government representatives at the Castle
(the seat of government), the Minister of Finance and Economic Planning, and the Governor of Bank of Ghana to sensitise
them on the need and proposed preparation of a Strategic Plan for the development of national statistics.
Step 5
Design teams for the strategic Plan were formed in each participating sector Ministries to produce Strategic Plans for their
respective sectors. A training workshop was organised to discuss a uniform approach for preparation of sector plans. The
sector Strategic Plans were prepared independently, and, were used as bases to prepare the national Strategic Plan.
Step 6
A questionnaire was prepared and distributed to the participating sector Ministries to solicit qualitative and quantitative
information. The answers provided were used by the sector design teams to prepare the sector Strategic Plans. The
completed questionnaires were also used in the preparation of the national Strategic Plan.
Step 7
A local consultant was recruited in the latter part of June 2007 to assist in the preparation of the sector plans as well as the
national Strategic Plans. Several meetings were held with the GSDP design teams in the course of preparing the sector and
the national plans.
Step 8
A nationwide sensitisation exercise on the GSDP process was carried out between August and November 2007 for the
Regional Planning and Coordination Units (RPCUs) and District Planning and Coordinating Units (DPCUs).
Step 9
A draft report of the national Strategic Plan was submitted to the Government Statistician, her deputy and the GSS Divisional
Heads for review and comments.
Step 10
A series of workshops were organised for the sectors and GSS strategic plans design teams from March 2008 to May 2008 to
review, cost and finalise the sector and national strategic plans.
Step 11
Three meetings were held with development partners for their inputs. The first was held on 21 December, 2007, the second
on 10 January, 2008 and the third on 25 June 2008.
Step 12
Several meetings were held between government and sector Ministries representatives, public sector organisations, and non-
governmental organisations to formally present the national Strategic Plan to them and to solicit their full support for
successful implementation.
5
2. The National Statistical System
2.1 The Composition of the National Statistical System (NSS) in Ghana
The national statistical system has evolved from a structure that was governed by the Office of
the Government Statistician (set up in 1948), to a fully decentralized system, with a central
coordinating agency, the Statistical Service, governed by the Statistical Service Law, PNDC Law
135, enacted in 1985; and component members, the statistical units of ministries, departments,
and agencies (MDAs), also governed by PNDC Law 327, enacted in 1993 (Box 1).
The NSS comprises mainly the Ghana Statistical Service and MDAs responsible for gathering
statistical data through surveys or administrative process, as well as some suppliers of
information.
Although the NSS is not a legal entity, that is, it is not explicitly mentioned as an institution in
any legislative document, there are several references in the legislative instruments governing
successive central statistical agencies. The legislative instruments did not only give mandate to
the central statistical agency for the production and dissemination of official statistics in Ghana,
but also tasked the institution to coordinate and collaborate with MDAs and other
Box 2.1: Major Landmarks in the Statistical Development in Ghana
The key landmarks in the statistical development of the country are characterisd by the initiation of a statistical product/service or by the promulgation of legislative instruments governing the production of statistics.
• 1891 Export of commodities such as gold, palm oil, copra and other forest products first recorded.
• 1891 The first population census was carried out. • 1948 The Office of the Government Statistician (OGS) was established as a service
agency under the Ministry of Finance. • 1961 The Office of the Government Statistician was expanded and renamed Central
Bureau of Statistics, as a department under the Ministry of Finance (Statistics Act 37 of 1961).
• 1970 A building was constructed to house the Central Bureau of Statistics, and was shared with the Ministry of Finance.
• 1985 A new legislative instrument, PNDC Law 135, established the Ghana Statistical Service (GSS) to replace the Central Bureau of Statistics. The PNDC Law 135 also made the Ghana Statistical Service autonomous body, with a Board of Directors reporting to the Office of the President.
• 1993 Civil Service Law, PNDC Law 327 requiring that each sector ministry set up four line directorates one of which is to be Research, Statistics, Information and Public Relations (RSIPR); the other three being, (i) Finance and Administration (F&A), (ii) Human Resource Development and Management (HRDM), and (iii) Policy Planning, Monitoring and Evaluation (PPME).
6
organisations which, by the nature of their work, have to produce official statistics. For
instance:
(a) Section 3 (1) (c) of the Statistical Ordinance of 1951 and revised in 1954, stated among
the duties of the Office of the Government Statistician “to collaborate with departments
of Government and with local authorities in the collection, compilation, analysis and
publication of statistical records of administrations and departments.”
(b) Section 1 (2) (c) of the Statistics Act 37 of 1961 that established the Central Bureau of
Statistics (CBS) stated among its functions “ to collaborate with the public services and
other official or quasi-official and other organisations in the collection, compilation,
analysis and publication of statistical records of or connected with those organisations.”
(c) Section 9 (1) (d) of the PNDC Law 135 of 1985 mandates the Ghana Statistical Service “to
organise a coordinated scheme of economic and social statistics relating to Ghana.”
(d) Again, Section 10 of the PNDC Law 135 of 1985 indicated that “Public services and other
official or quasi-official organisations or any other organisation shall collaborate with the
Government Statistician in the collection, compilation, analysis and publication of
statistical records of or connected with those organisations.”
(e) The legislative instruments regarding statistics production in the country also recognised
suppliers of raw data for official statistics production and, specified punitive measures if
they failed to supply the needed raw data on request (Section 15 of PNDC Law 135).
(f) The users of official statistics and researchers were also recognised in the legislative
instruments. Section 4 (a) indicates that “The Board shall be responsible for: Promoting
the effective use of statistics and stimulating research activities in all fields of application
of statistics.”
The main functions of the NSS are to produce the official statistics and indicators required for
decision-making, planning, monitoring and evaluation of development programmes and
projects. The statistics produced should meet well defined standards, including the quality,
relevance, reliability, timeliness, cost-effectiveness and effective dissemination and easy access
to the statistical data it produces.
For the NSS to be efficient and effective, the producers should not only be able to meet the
specific data needs of users but should also generate and disseminate timely, consistent and
cost effective statistical information. This can happen only when there is complete
coordination and collaboration among data producers, data users and all other stakeholders.
2.2 The Role of NSS Data Producing Agencies
2.2.1 The Statistical Service
The public institutions that produce statistical data in the country are the Ghana Statistical
Service (GSS), and the sector Ministries, Departments and Agencies (MDAs). The national
statistical system with its many parts and the different roles played by the many stakeholders
creates the need for effective coordination, collaboration, cooperation and sharing of
information among the stakeholders. These are essential requirements in order to (i) avoid
7
duplication of efforts in the production and dissemination of official statistics, (ii) ensure
effective use of scarce resources, particularly human resources in the form of statisticians, (iii)
reduce conflicts in the statistics released, and (iv) improve efficiency and effectiveness in
statistical production.
GSS, as a central statistics producing agency, is charged with the responsibility for coordinating
the system and ensuring collaboration, first at the bilateral level – between GSS and each data
producing MDA; and second, between GSS and any number of the MDAs at a time. Ideally,
collaboration should ultimately be among all the data producers, when the system operates as
a unit. GSS with its mandate as the NSS coordinator should ensure the proper functioning of
the NSS. The legal instruments that set up the Office of the Government Statistician, followed
by the Central Bureau of Statistics, mandated the central statistical agencies to collaborate with
MDAs to produce official statistics. The law specified that “Public services and other official and
quasi-official organisations or any other organisation shall collaborate with the Government
Statistician in the collection, analysis, and publication of statistical records of or connected with
those organisations.”
Effective collaboration will foster cooperation and sharing of information, but mechanisms have
to be put in place to achieve these. The GSS, as a central statistics producing agency, is in a
better position to play other roles needed to build a strong NSS, such as:
(a) Sensitising and creating awareness of the general public about the importance of
statistics;
(b) Organising advocacy and lobbying Government, Parliament and other relevant bodies,
for increased resources for statistical activities;
(c) Facilitating effective collaboration, cooperation and information sharing among
stakeholders,
(d) Organising training and other workshops on issues that cut across stakeholders;
(e) Ensuring harmonisation and standardisation of concepts, definitions, classifications,
survey methods, etc., in congruence with international standards;
(f) Ensuring quality, credibility, reliability, timeliness in statistics production and release;
(g) Identification of funding sources, latest versions of computers and statistical software,
developments in data capture devices, etc; and
(h) Providing technical back-up for MDAs and the District Assemblies in data collection,
statistics production and dissemination.
2.2.2 The Sector Ministries, Departments and Agencies (MDAs)
The MDAs are recognised in all of the statistical laws of the country as data producers, who
must contribute in very specific terms to ensure that all areas of statistics are adequately
covered. Their role is to generate official statistics related to the activities of their respective
institutions in collaboration with the GSS. Based on the Civil Service Law of 1993 and
recommendation from the Public Administration Restructuring and Decentralisation
Implementation Committee, each sector ministry is required to maintain four line directorates
of (i) Finance and Administration (F&A), (ii) Human Resource Development and Management
(HRDM), (iii) Policy Planning, Monitoring and Evaluation (PPME) and (iv) Research, Statistics,
8
Information and Public Relations (RSIPR). Consequently, statistical units have been set up in the
entire sector Ministries under the RSIPR directorates to undertake statistical production
activities.
This law has been implemented to varying degrees in the MDAs. All the nine MDAs selected for
this first phase of the NSS review have both PPME and RSIPR units. In general, however, several
MDAs have no active collection and compilation of statistics, either because the sector ministry
does not have a functional statistical unit, or has not found the need to establish a statistical
unit, particularly, those Ministries that are mainly users of statistics, for example, the Ministry
of Finance and Economic Planning.
In some MDAs statistics are collected, compiled and disseminated independently, by some
directorates, other than the statistics unit. The roles of the sector ministries, departments and
agencies in the NSS have largely become limited to producing statistics that are needed for their
own programmes. Many of the statistics produced by the MDAs are for their own internal use.
There is therefore acute shortage of supply of data from administrative sources, leading to
heavy reliance on statistical surveys, which are conducted infrequently.
Box 2.2: Example of multiple directorates collecting data
The Ministry of Food and Agriculture is an example of a sector Ministry where multiple directorates collect, compile, release and disseminate statistics. The main directorate with the responsibility of statistics production is the Statistics Research and Information Directorate (SRID) which collects, compiles and disseminates statistical data, primarily on crops. However, the Crop Services Directorate (CSD) also collects, compiles and disseminates statistics, but mainly on types and volumes of fertilizer imports and the export prices. The Veterinary Services Directorate (VSD) collects, compiles and disseminates statistics on population of selected livestock species (cattle, sheep, goats, pigs and poultry). The Livestock Planning Information Unit of the Policy Planning Monitoring and Evaluation Directorate (PPMED) collects compiles and disseminates statistics on meat imports (types, volume and country of origin); they also undertake some surveys of livestock movements and markets. The Plant Protection Regulatory Services Directorate (PPRSD) collects, compiles and disseminates statistics on type and volume of certified seed production, number of registered farmers and distributors, and certified seed prices. Until recently, when the Fisheries Directorate (FD) was upgraded to become the Ministry of Fisheries, the directorate collected, compiled and disseminated statistics on volumes of inland waters and marine fish catches, fish imports and exports, and estimated volume of domestic fish consumption and the surplus/deficit. These statistical activities continue to be carried out by the Ministry of Fisheries.
9
2.3 Stakeholders of the National Statistical System
The stakeholders comprise all the institutions, identifiable groups and individuals who
contribute to the production of statistical information and or use of the statistical information.
The identifiable interest groups who have a stake in the production of statistics are:
(a) producers of statistics and indicators,
(b) suppliers of data,
(c) users of statistical data,
(d) trainers of human resources for statistical work, and
(e) providers of financial, material, technical and other support that facilitate statistical
activities in the country.
In principle, every person in the country, in one way or another, qualifies as a stakeholder of the
NSS.
(a) Producers of statistical data are public or quasi public institutions that include institutions
that routinely generate raw data through administrative procedures, such as many MDAs,
public service providers (Ghana Police Service, Judicial Service, Internal Revenue Service, Prison
Service, Customs Excise and Preventive Service, Births and Deaths Registry, etc.)
(b) Suppliers of data are institutions, groups or individuals who provide data either routinely,
governed by legislation or bilateral arrangements, or upon request. The entities include private
sector business associations (AGI, FAGE, etc.), etc. that generate useful information but do not
generally compile these for public use. They may also be survey units such as
establishment/enterprises, households or individuals.
(c) Users of statistics include many MDAs that do not only produce statistics, but are also
major users of statistical data. Other users are civil society organisations, non-governmental
organisations, researchers and students of tertiary institutions, private investors, etc. The users
of statistics produced in the country transcend national borders and sub-regional organisations
such as ECOWAS; WARDA; regional organisations and institutions such as African Union,
Economic Community of Africa, NEPAD; and International Organisations such as United Nations
agencies, World Bank, International Monetary Fund, World Trade Organisation.
(d) Trainers of human resource such as training institutions contribute primarily to the
development of the human resource skills which are required for the production and usage of
statistical data.
(e) Providers of support are institutions that provide support to facilitate statistical activities,
mainly the Government of Ghana, international organisations including, the United Nations,
banking and financial institutions, NGOs and development partners. The support takes many
forms including: Finance, supply of equipment and/or means of transportation, sponsorship for
staff training, usually in foreign institutions and training workshops, both locally and abroad.
10
2.4 Data production by the National Statistical System
2.4.1 Administrative Data
Administrative records is one of four main sources of data produced within the National
Statistical System; the other three being sample surveys, surveillance system, and censuses. In
many of the broad areas in which official statistics are produced, such as health statistics,
education, crime and justice, the administrative records form the primary data source,
transport, public finance, and the relevant sector ministries, departments and agencies (MDAs)
have the unique responsibility for generating the data from their respective administrative
activities. Some data also are to a lesser extent, from records kept by other public agencies and
private sector organisations. For the value of these data to extend beyond the immediate
needs of the producing ministry, it is necessary that the instruments used to collect the basic
information are designed considering the needs of other potential users, and the concepts,
definitions and classifications adopted for the compilation of the statistics meet agreed
standards and are hamonised with those used by other producers of official statistics, from
administrative and other sources.
While the MDAs compile these data for their internal use, they are also to cooperate with GSS
to make the data available to all who need them, within and outside of government. There is
currently limited release of administrative data. Only a selection of the MDAs has databases
that can serve as a medium for disseminating their data, i.e., MOESS and MOH. The GSS mainly
compiles data from the data supplied by MDAs through the administrative records. The GSS
medium for release of these administrative statistics, the Quarterly Digest of Statistics (QDS),
has had to be temporarily suspended due to lack of timely reporting of the data.
In addition to non-regularity of release of the data to GSS, the concepts and procedures are not
clearly defined and GSS has therefore no way of verifying the accuracy of information provided.
Cooperation between administrative data suppliers and the official data producers is crucial to
ensure timely production and release of statistical information. There is widespread reluctance
or lack of capacity to provide data to GSS. When data are made available they are quite often
delayed. (Table B1 shows some of the indicators generated within the system and the
institutions responsible for their production).
2.4.2 Sample survey data
Sample surveys are few and they are generally not being conducted at regular intervals. Several
of the MDAs conduct infrequent surveys to gather data on specific issues. Most of the
nationally representative sample surveys are carried out by the Statistical Service, which has the
unique mandate by law to execute such data collection exercises. Few of the MDAs conduct
nation-wide surveys, but relatively more conduct community-based, district- or region-specific
surveys. The MDA-initiated surveys are, with few exceptions, not conducted with the
knowledge or collaboration of the GSS. These surveys are therefore not within the public
domain, and the methods used are not subjected to technical review and endorsement by a
competent body.
11
The national sample surveys that the Ghana Statistical Service, conducts while relatively more
frequent, are not at regular intervals, nor are they guided by any schedule, except for the
Ghana Demographic and Health Survey (GDHS) that has maintained a five year cycle (Table 1).
For example, the first two of the Ghana Living Standards Surveys (GLSS) were a year apart, the
third survey was conducted after a period of two years, the fourth survey was six years later,
while the latest, the fifth survey followed at a seven-year interval. The inability to keep to the
cycles of many of the routine surveys is due largely to a funding problem. Many of the other
surveys have been conducted when external funds have been available; a number of the
surveys were thus initiated on request and with funding from international organisations and
other development partners, such the UNICEF supported Multiple Cluster Indicators Survey
(MICS), the ILO funded Child Labour Survey, the World Bank supported Ghana Education Impact
Evaluation Survey, and Danida-funded Transport Indicators Database Survey.
2.4.3 Surveillance data
Surveillance, as a source of data, is carried out mainly by the Ghana Health Service of the
Ministry of Health. Currently, surveillance on specific diseases is being carried out in three
locations, namely: Navrongo in the Upper East Region, Dodowa in the Greater Accra Region and
Kintampo in the Brong Ahafo Region. The Ghana Aids commission also carries out surveillance
annually, in selected health facilities, to monitor the situation of HIV/AIDS prevalence. This
source of data is yet to be fully integrated into the National Statistical System, and the data
produced remains with the producer institution.
12
Table 1: Routine Surveys Conducted by the Ghana Statistical Service/MDAs
Census / Survey Recommended
Cycle (Years) Years Conducted Agencies
Involved
Censuses
1. Population and Housing Census 10 1960, 1970, 1984,
2000 GSS with
multi-agency
participation
2. Industrial Census 10 1962, 1987, 2003 GSS/MOTI
3. Agricultural (Sample) Census 10 1970, 1985 GSS/MOFA
Monthly surveys
4. Consumer Price Index Survey Monthly Since 1957 GSS
5. Producer Price Index Survey Monthly Since 2007 GSS
6. International Comparison Programme (ICP) Monthly 2006/ 2007 GSS
Five-yearly surveys
7. Ghana Demographic and Health Survey 5
1988, 1993, 1998,
2003, 2008 GSS,MOH/
Nouguchi/
NPC
8. Ghana Living Standards Survey 5 1987/88, 1988/89,
1991/92, 1998/99,
2005/06
GSS
Other regular surveys
9. Situation Analysis Study of Health Delivery
Services in Ghana Survey 3 1993, 1996, 2003
GSS/MOH
10. Core Welfare Indicators Questionnaire Survey 6 1997, 2003 GSS
11. Job Tracking Survey 2006, 2007 GSS/MMYE/M
OFEP
12. Distributive Trade Survey 2006 GSS/MOTI
13. Maternal Mortality Survey 2007 GSS, MOH
Ad Hoc surveys
14. Public Expenditure Tracking Survey 2007
GSS/MOFEP
15. Financial Services Survey 2007 GSS
16. Transport Indicators Database Survey 2007 GSS, MOTI
17.Multiple Indicators Cluster Survey 2006
GSS,
MOH/GAC
18. Ghana Education Impact Evaluation Survey 2003 GSS/MOESS
19. Child Labour Survey 2001 GSS/MMYE
20. Migration Research Survey 1991 GSS/MOFEP/N
PC/UG/UCC
21. Household Budget Survey 1974 GSS
13
2.4.4 Census data
Three types of censuses have so far been organised in the country. These are: (i) Population
census, the latest of which was conducted in 2000, together with the housing census,
(ii) Agricultural (sample) census, and (iii) Industrial (sample) census. Ideally, the censuses are to
be carried out at ten-year interval. Apart from the population census that had for many
decades running maintained a ten-year cycle, none of the other censuses ever established a
ten-year interval. Prior to 1970, the population census was conducted every 10 years.
However, after 1970, the next population census was held 14 years later, in 1984. The latest
population census was held in 2000, 16 years after the previous one (Table 2). The agricultural
sample census is supposed to be conducted within a year of the population census. Hence, the
agricultural sample census held in 1970 followed the population census held in the same year.
The next agricultural census was held in 1985 following the population census held in 1984.
However, the agricultural sample census that should have followed the population and housing
census in the year 2000 was not conducted, lagging seven years behind. The delays in
organising the population and agricultural sample census surveys, as in the case of the routine
surveys, are also largely caused by funding problems.
The first industrial census took place in 1962, and the second one was organised some 25 years
later, in 1987. The third, and also the latest industrial census, was organised in 2003, 16 years
after the second census. The survey cycle is, therefore, inconsistent, with too long an interval.
The statistical information produced from the census data are used, in part, to review
benchmarks from which projections are made into the future. Undue delays in conducting the
census surveys may result in inaccurate projections and decisions.
Table 2: Censuses Conducted by the Ghana Statistical Service
Census Year of Census
i) Population Census*
ii) Industrial (Sample) Census
iii) Agricultural (Sample) Census
1960, 1970, 1984, 2000
1962, 1987, 2003
1970, 1985
* The 2000 population census was combined with a housing census.
2.4.5 Areas of statistics production
The legislative instruments that set up the successive central statistical agencies in the country,
namely, the Office of the Government Statistician in 1948, the Central Bureau of Statistics in
1961 and the Ghana Statistical Service in 1985, specified in the “First Schedule,” the broad areas
where official statistical data ought to be produced. GSS and MDAs, either independently or
14
collaboratively, have been producing statistical data and indicators in some broad areas. The
types of statistical data that are to be produced, the data sources and the institutions that
would produce them, are shown in Table A3. The MDAs produce statistical data mainly in the
areas that are in line with their mandates, while the GSS, independently or in collaboration with
MDAs, produce statistical data in all the broad areas. In general, not all the areas are being
adequately covered by the data producing agencies.
Specifically, as mentioned earlier, statistics and indicators that are drawn largely from
administrative sources are not being disseminated to the public in any systematic way. These
are not published and are therefore made available upon request. Another reason for the
variance between availability of data and the required areas specified in the Law is that the
data needs have continued to evolve with the many changes that have occurred in the
country’s socio-economic environment. Attention has therefore shifted to augmenting the data
with those on emerging issues. Meanwhile, the “First Schedule,” which outlines the fields of
statistics to be covered, has not been reviewed in over two decades, although there is
legislative provision in section 27 of the PNDC Law 135 for such amendments. Additionally, the
censuses and sample surveys, which should bridge the gap in administrative statistics, are not
being carried according to any regular schedule.
2.4.6 Data quality
In general, the quality of data can be defined broadly as good, and available for intended use.
The quality of statistical data, therefore, has many dimensions that cut across data collection
and management, statistics production, data analysis and interpretation, dissemination and
access to users. The attributes of what is considered “quality” statistical data are many, and
include: accurate, unbiased, objective, impartial, relevant, disaggregated, demand-driven,
reliable, consistent, no gaps, timely, complete. Some of these attributes of data quality are
discussed briefly in the paragraphs below.
(a) Data accuracy - Data accuracy is a very important factor in data quality. It is linked
closely to data collection, particularly, field data. If the data collected is not credible, the
statistical data produced will not be credible, thus unreliable. Since many of the data series are
being released to the public upon request, from a variety of sources, and by various institutions,
there are inconsistencies in some of the statistics. The use of different concepts and methods
of data collection also leads to further confusion in the statistical system.
There is need for harmonising the concepts and establishing a forum for disseminating
information about international standards in concepts, definitions, classifications and methods,
and any updates and revisions that take place, and mechanisms for adapting the standards to
the specificities of the country.
(b) Relevance of statistical data - Relevance of statistical data is evident when users are
satisfied with what they receive for the desired purposes. Furthermore, it is relevant where the
statistics produced are demand-driven or have target users in mind. Some of the statistical
data produced from surveys are demand-drive. There are however some situations when
statistical data are produced which has no specific target users in mind, but which is,
nonetheless, useful to researchers in some capacity. The statistics that are produced in the
15
Quarterly Digest of Statistics had not been reviewed in a long time, when the publication was
temporarily discontinued. A needs assessment has not been conducted for decades.
Given the scarce resources for the production of statistics, there is the need to produce
statistics that have immediate use and are, therefore, considered demand-driven, and it is
therefore necessary to conduct statistics users’ needs and satisfaction assessments, not only
once, but periodically.
(c) Disaggregation of statistical data - Another factor that makes statistics relevant to many
users is the extent to which they are disaggregated and cross-classified by many variables, such
as geographical areas, sex, formal education, age, occupation, etc. The decentralisation of
administration, planning and execution of development programmes and projects to the
districts that began in the late 1980s has made it imperative that most statistical data be
produced for the districts. Most of the routine surveys are however not designed to produce
data to the district level, rendering them irrelevant to the district assemblies.
There are significant budgetary implications for meeting this data requirement, and special
considerations would need to be made to ensure that some routine data are available for the
districts. For example, coordination in statistics would need to be extended beyond the sector-
level to the district level and issues of synchronized surveys and joint funding would have to be
explored and given serious attention.
(d) Complete coverage - Some of the statistical data produced in the country are
incomplete, in terms of the geographical area covered and the items included in the estimates,
such as crop types. Administrative sources are generally problematic because unless coverage
issues are deliberately considered and tracked the systems are likely to generate incomplete
data. It is also necessary to determine the limits of the coverage so that users are made aware
of the limitations. Specific areas of concern are civil registration, unemployment registers,
hospital records, school enrolment, etc.
(e) Timeliness in release of statistics - The release of many statistical data in the country is
not timely, as evidenced by the long period between the time data was collected and the time
the statistical information was released to users. Even where the production of statistical data
is ready, the publication of this data is often unduly delayed.
There is need to agree with all producers within the system on a schedule of release of basic
indicators and areas of responsibility, as well as the medium and mode of dissemination, and
mechanisms put in place to ensure compliance to the schedule. The experience of GSS with the
monthly release of the consumer price index (CPI), inflation and the producer price index (PPI)
indicates that publicizing the release timetable brings discipline into the system.
(f) Gaps in statistics produced - There are many areas where gaps exist in the production of
statistical data in the country, such as:
(i) Breaks within time series statistical data produced by many of the MDAs;
(ii) Lags in time series data for several years and, therefore, not available when users need
them. That is, statistical data are not updated fast enough;
16
(iii) The extent of compilation and presentation of statistical data are not in a form readily
usable and, therefore, requires further analysis;
(iv) Some of the indicators produced by the GSS and MDAs often appear in conflict to each
other, due to different methodologies and definition of concepts. One example is the
AIDS prevalence indicator from the GSS and that of the Ghana AIDS Commission;
(v) Statistical data not adequately disaggregated to meet user needs. This has become an
important issue in the decentralisation of the public administration, socio-economic
planning and development to the district level;
(vi) Lack of statistical data on emerging issues such as street children, child labour, child
prostitution and pornography, etc.; and
(vii) The new development strategies both local (GPRS) and international (MDGs) have
created additional gaps in the statistical data produced because of new data
requirements.
Details on specific topic and indicators for which information is lacking are presented in Tables
A4 and A6.
2.5 The NSS Human Resources
To carry out its mandate, the GSS has employed a critical mass of professional statisticians, built
a substantial statistical and physical infrastructure including a head office edifice, and
established offices in all the administrative capitals of the 10 regions, as well as in 94 of the 170
districts of the country. The establishment of the GSS offices in the districts has become
exceedingly urgent since the administration of socio-economic development was decentralised
to the districts in the late 1980s.
The number of Professional Statisticians in many of the MDAs is woefully inadequate. The GSS
has the bulk of the human resources who have academic training in statistics and related
disciplines such as economics, demography and mathematics. In some Ministries, such as the
Ministry of Manpower, Youth and Employment, MOWAC and the Ministry of Lands, Forestry
and Mines, there are no Statisticians at all. The Ministry of Trade Industry, Private Sector
development and President’s Special Initiative, Ministry of Communications and the Ministry of
Education, Science and Sports have only one Professional Statistician each, and the Ministry of
Health has two Professional Statisticians. It is only the Ministry of Food and Agriculture that has
a reasonable number of Professional Statisticians (Table 3).
17
Table 3: Current NSS Staff by Subject
Subject Area
GS
S
MO
FA
MO
WA
C
MO
C
MO
H
MO
TI
MM
YE
MO
ES
S
B &
D
MLF
M
To
tal
Statistics 85 4 0 1 2 1 0 1 2 0 96
Economics 23 0 0 0 0 0 0 1 1 1 26
Demography 23 0 0 0 0 0 0 0 0 0 23
Mathematics 16 0 0 0 0 2 0 1 0 0 19
Geography 18 0 0 0 0 0 0 1 0 0 19
Physics 3 0 0 0 0 0 0 0 0 0 3
Planning/Policy 4 0 0 0 0 0 0 0 0 0 4
Agriculture 1 12 0 0 0 0 0 0 0 0 13
Sociology 14 1 2 1 0 0 0 0 0 0 18
Computer Science 11 2 1 0 0 1 0 2 0 2 19
Psychology 3 0 0 0 0 0 0 0 0 0 3
Political Science 1 0 1 1 0 0 0 0 0 0 3
Administration 27 0 1 0 0 0 0 1 0 0 29
Accounting 35 0 0 0 0 0 0 0 0 0 35
Printing/City & Guilds 8 0 0 0 0 0 0 0 0 0 8
GCE ‘A’ Level 33 0 0 0 0 0 0 0 0 0 33
GCE ‘O’ Level 82 0 0 0 0 0 0 0 0 0 82
SSCE 16 0 0 0 0 0 0 0 0 0 16
RSA III 10 0 0 0 0 0 0 0 0 0 10
NACVET/NVT/MUT 6 0 0 0 0 0 0 0 0 0 6
Stenography/Typist 22 0 0 0 0 0 0 0 0 0 22
MSLC 17 0 0 0 0 0 0 0 0 0 17
Drivers 48 0 0 0 0 0 0 0 0 0 48
Labourers 19 0 0 0 0 0 0 0 0 0 19
Watchman/Security 35 0 0 0 0 0 0 0 0 0 35
Charwoman 27 0 0 0 0 0 0 0 0 0 27
Others 1 9 1 2 0 6 1 0 0 0 20
Total 588 28 6 5 2 10 1 7 3 3 653
There are gaps in the human resources, especially at the MDA level, which need to be filled.
The details are in Table A5.1.
18
2.6 Constraints and Challenges of the NSS
2.6.1 GSS as the coordinating institution
The GSS faces some constraints and challenges in pursuing its mandated statistical activities.
Some of these are highlighted below.
(a) Inadequate physical infrastructure, particularly office accommodation at the regional and
district levels;
(b) Poor working conditions and frequent breakdown of essential equipment, such as
photocopiers, internet connectivity, telephones, air conditioners, etc.;
(c) Inadequate number of professional statisticians, particularly for data analysis and
interpretation, and at the managerial level;
(d) Inadequate collaboration with and cooperation from MDA statistical units;
(e) Inadequate coordination of the NSS;
(f) Difficulty in attracting and retaining professional statisticians for long periods; and
(g) Difficulty in attracting top management staff (Government Statistician and Deputies).
2.6.2 MDA Statistical Units as collaborating institutions
(a) Physical infrastructure - Many of the MDAs have inadequate office accommodation. A
good example is the Ministry of Health, where the only two Professional Statisticians in the
statistical unit share one room measuring about 3m x 3m room with two other staff from other
departments. They do not even have an adequate number of tables or desks to mount the
three computers they have.
(b) Statistical infrastructure - The statistical software packages available to many of the
Professional Statisticians are those that form part of whatever version of Windows that they are
using.
(c) Transportation for statistical activities - Many of the statistical units of the MDAs do not
have permanently assigned means of transportation for statistical work. For others, the
vehicles are not adequate for field work, causing unnecessary delays.
(d) Operational budget - Many of the statistical units do not have their own allocated
operational budgets; they request for operating funds from the budget allocated to the
departments to which they belong to. In many cases, the budget gets exhausted elsewhere,
leaving nothing for statistical activities.
(e) Perception of importance of statistical units - Statistical activities of many of the MDA
statistical units are not adequately recognised or appreciated. This is partly due to the low level
of perception of the importance of statistics and the poor quality of the statistical data
produced.
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3. SWOT Analysis of the National Statistical System
An examination of the strengths, weaknesses, opportunities and threats (SWOT) analysis gives
the current and realistic picture of the capacity and capability of the NSS in producing and
disseminating the increasing demand of official statistics.
3.1 Strengths
The strengths that the NSS possesses, among other things, are the following:
(a) PNDC Law 135 of 1985: (i) established a central statistical institution (Ghana Statistical
Service) with legal powers, (ii) indicated the role of MDAs in the production of statistics
and (iii) obliged data suppliers to cooperate with the statistics producers;
(b) A critical mass of statisticians at GSS who can provide technical back-up for the MDA
statistical units;
(c) Existence of a large pool of professional and other staff at GSS to undertake large-scale
surveys and censuses;
(d) The Ghana Statistical Service has offices in all of the 10 administrative regions and 94 of
the 170 administrative districts of the country;
(e) The establishment of NACPUS to ensure effective coordination;
(f) The Civil Service Law of 1993 and the PARDIC recommendation that obliged the
Research, Statistics, Information and Public Relations (RSIPR) as one of the four
directorates to be maintained in all sector ministries;
(g) Existence of statistical units under RSIPR in the sector Ministries;
(h) Availability of local institutions to train statisticians; and
(i) Availability of specialised institutions for data analysis and interpretation (ISSER, CEPA,
IEA, etc.).
3.2 Weaknesses
The weaknesses of the NSS include the following:
(a) The statistical units in many MDAs are not well set up or resourced, and do not
function properly;
(b) Lack of commitment of stakeholders to coordination, collaboration, cooperation and
sharing of information;
(c) Lack of Strategic Plan to strengthen the NSS;
(d) Gaps in statistical data;
(e) Inconsistent and conflicting statistical data from different producers;
(f) Delays in the supply of administrative data;
20
(g) Inadequate data analysis and interpretation;
(h) Lack of statistical sensitisation, advocacy and lobbying mechanisms;
(i) Lack of feedback mechanisms for statistics produced and disseminated;
(j) Lack of standardisation and harmonisation of concepts, definitions, classification,
etc., that meet international standards;
(k) Delayed release of statistics;
(l) Inadequate dissemination channels for statistics; and
(m) Absence or inadequate establishment of databanks in the MDAs to network with the
GSS central databank (Central Repository Databank -- CRD).
3.3 Opportunities
Some of the factors and emerging issues that provide opportunities for the NSS are listed below:
(a) Increasing internal demand for statistics to plan, monitor and evaluate national
programmes and projects, such as decentralisation of public administration to the
districts, GPRS II, MDGs, APRM of NEPAD, etc.;
(b) Increasing external demand for statistics by international organisations, development
partners, NGOs, investors, etc.;
(c) Sub-regional, regional and international recognition of the importance of statistics (Addis
Ababa Plan of Action for Statistical Development in Africa adopted in 1992, MAPS, Africa
Statistics Day, Managing for Results Agenda, recommendations from the Global Forum
on Aid Effectiveness, etc.);
(d) Sub-regional, regional and international frameworks to enhance collaboration,
cooperation, partnerships and support for statistical development and sharing of
experiences, good practices, etc.;
(e) Advances in statistical infrastructure (computers, software, data capture devices and
questionnaire design such as CWIQ);
(f) Advances in Information Communication Technology (ICT) for databanks and statistical
data dissemination;
(g) Advances in technology that allow questionnaires to be converted to scanable format;
(h) Availability of local, regional and international training facilities and sponsorships; and
(i) International support for development and strengthening national statistical systems
(e.g., World Bank Trust Fund for Statistical Capacity Building, African Development Bank
financial support for the preparation of this National Strategy for Development of
Statistics, etc.).
21
3.4 Threats
The threats that the NSS faces include the following:
(a) Low appreciation of the importance of statistics;
(b) Insecurity and conflict perceived by stakeholders affecting completeness and
comprehensiveness of data collection across MDAs;
(c) Different statistics reporting format required by international organisations and
development partners, affecting harmonisation with the national requirements;
(d) Limited use of statistics in public decision-making and planning socio-economic
development;
(e) Inadequacy and delays in government funding of statistical activities, particularly,
routine surveys and censuses;
(f) Unrealistic sections in the statistical legislative instrument (PNDC Law 135 of 1985),
particularly sections 16 and 17, that deal with the fine to be imposed when
individuals, institutions, etc. refuse to supply data requested officially;
(g) Though Section 9 (c) of PNDC Law 135 enjoins the Government Statistician “To
conduct statistical surveys, including any census in Ghana,” Section 14 gives the
Government the power to determine the: dates on or between which the census is
taken; and the information to be obtained in the census;
(h) Poor remuneration package for statisticians resulting in high rate of attrition in the
MDAs;
(i) Over-dependence on financial, technical and material support from development
partners and other external agencies for physical and statistical infrastructure and for
the conduct of routine surveys and censuses; and
(j) Downturn in the economic environment worldwide affecting the level of priority
accorded statistics.
3.5 Strategies to Amplify Strengths and Eliminate Weaknesses
Some strategic options to amplify some of the strengths and reduce or eliminate some of the
weaknesses of the National Statistical System are indicated (Box 3.1).
22
Box 3.1: Strategies to Amplify Strengths and Eliminate Weaknesses
Amplification of Strength Elimination / Reducing Weakness
1) Some sections of the PNDC Law
135 need to be reviewed and
revised to make them effective.
For example, sections 17 (2)
and 21 (h), to make the fine for
data suppliers who refuse to
provide requested data realistic
and act as a deterrent; Section
9 (c) to enforce a 10-year cycle
for organising population and
housing census;
2) It is not enough to set up
statistical units in the sector
Ministries, the units should be
adequately resourced for
effective work;
3) The Statistical Service’s
programme to open offices in
all the administrative districts
should be pushed for
completion in a shorter time;
4) Strengthen NACPUS to offer a
platform for coordination,
collaboration, cooperation and
information sharing;
5) Capitalise more on the training
programmes for statisticians
available in- country.
1) Resource the MDA statistical units
for effective functioning;
2) Resource the Ghana Statistical
Service to perform effective
coordination role in the NSS;
3) Draw attention to the lack of
standardisation of concepts,
definition, classification, etc. that
meet international approval;
4) Organise workshops for
harmonisation;
5) Use modern information
dissemination channels to enhance
user access to statistics (website,
network of databank);
6) Provide timetable for the release of
routine statistical publications;
7) Use the Ghana Statistical Week and
Africa Statistics Day celebrations to
advocate and lobby for increased
resources for production of statistics;
8) Provide in-service training on data
analysis and interpretation for
statisticians;
9) Better manage the statistics sectoral
working groups (SSWGs) of NACPUS
to provide the forum for sharing
information on current international
standards for statistics.
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4. Vision, Mission, Core Values and Goals for Developing the NSS
4.1 Vision
The vision of the NSS can be specified as:
“Efficiently coordinated system delivering quality statistical products and services”
4.2 Mission
The mission of the NSS is “To produce good quality, reliable and timely statistics and indicators
to meet the needs of both local and international users”
4.3 Core-Values
The core-values and guiding principles which will drive the NSS to achieve the desired output of
statistics and indicators are:
1. Confidentiality: The NSS will guarantee the protection of the private life and business
secrets of data suppliers;
2. Integrity: The NSS will ensure that statistical activities of statistics producers are based
on adherence to the principle of objectivity and independence in the collection,
compilation, and dissemination of statistics. This would encompass institutional
arrangements that ensure professionalism in statistical policies and practices,
transparency, and ethical standards.
3. Reliability: The NSS will ensure that source data and statistical techniques are sound and
statistical outputs sufficiently portray reality;
4. Relevance: The NSS will work to ensure that statistics produced meet information needs
of users with respect to content coverage and timeliness.
4.4 Goals
The goals are what the NSS sets itself to achieve under the five-year Strategic Plan for the
statistics. Four strategic goals are identified and covered in the GSDP document. These are:
1. Improving policy, regulatory and institutional framework
2. Expanding statistical infrastructure
3. Revamping data development and management
4. Investing in physical infrastructure and equipment
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4.4.1 Main goal
The main goal of the Strategic Plan is to strengthen the National Statistical System to enable it
perform its functions efficiently and effectively.
4.4.2 Specific goals
The specific goals of the Strategic Plan are the following:
i. Ensure production of quality statistical data that meet user requirements, satisfaction
and also international standards;
ii. Ensure that the statistics produced are demand-driven, and pro-active, targeting
requirements for new and on-going programmes and projects such as the GPRS, MDGs,
etc.;
iii. Ensure effective and timely dissemination of statistics to enhance their usefulness;
iv. Create awareness for the importance of using statistics for evidence-based policy
formulation, decision-making and effective planning for national development. The
awareness will hopefully result in adequate resource inflow to the MDAs for statistical
work;
v. Establish and strengthen Statistical Units in all the MDAs to promote effective and
efficient statistical activities;
vi. Promote the employment of qualified and adequate numbers of statisticians within the
MDA statistical units and GSS;
vii. Upgrade regularly the knowledge, skills and competence of statisticians to keep abreast
with developments in statistics production;
viii. Ensure effective coordination, collaboration, networking of databanks and information
sharing among the stakeholders;
ix. Sensitise non-institutional data suppliers about the importance of their role in producing
quality statistics; and
x. Upgrade statistical literacy of the general public to widen the net of statistics users.
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5. Strategic Plan for National Statistical Development
5.1 Issues in the National Statistical Development
The Strategic Plan for the national statistical development focuses on the issues that impede the
effective and efficient functioning of the NSS. The issues have been identified from the situation
and SWOT analyses, as well as the log-frames of the Strategic Plans prepared by the MDAs to
develop their own statistical units.
Issue 1: Creating awareness of the importance of statistics
The importance accorded to statistics in the country is generally very low. This is reflected in the
inadequate use of statistical data in policy formulation, planning, monitoring and evaluation of
development programmes and projects. Consequently, public statistical activities have been
poorly resourced and their execution often delayed. For example, the routine population census,
which should have a 10-year cycle, was held at intervals of 14 years when it was conducted in
1984, and 16 years, before the 2000 census was organised. A Strategic Plan to develop national
statistics should, therefore, continue to create awareness for the importance of statistics through
sensitisation of the general public, increase advocacy campaigns for the development of the MDA
statistical units, and lobbying for adequate and timely release of funds for statistical activities. The
government should show commitment through legislative instruments to ensure that the routine
surveys and censuses are organised promptly.
Issue 2: Developing statistical units of MDAs
According to the PARDIC structure mandated in 1995, sector Ministries are expected to have,
within their respective directorates, the following:
(a) Human Resources (HR);
(b) Finance and Administration (FA);
(c) Policy, Planning, Budgeting, Monitoring and Evaluation (PPBME); and
(d) Research Statistics and Information Management (RSIM).
These and other directorates have sub-divisions. Statistical units have been established as a
distinct unit under the RSIM in some of the sector Ministries. However, in others the statistical
units are either not a separate units or are merely non-existent. In many of the sector ministries
where the statistical units do exist, they lack i) physical infrastructure (adequate office space and
or essential office gadgets); ii) statistical infrastructure (computers, statistical software, internet,
official e-mail address, etc); iii) logistics, particularly, vehicles to facilitate mobility, iv) professional
staff, particularly statisticians; and v) adequate financial resources to undertake statistical
activities.
26
A Strategic Plan for national statistical development should, therefore, address the poor situation
of the MDA statistical units. Existing statistical units within the MDAs should be strengthened, and
where there are no statistical units, attempt must be made to establish them as soon as possible.
All statistical units must be adequately resourced with competent statisticians, physical and
statistical infrastructure, and funds to undertake statistical activities.
Issue 3: Strengthening stakeholders participation in the NSS
The active participation of stakeholders in the NSS is crucial for the system to produce quality
statistics. This implies that stakeholders must play their roles in such a way that the operation of
the NSS is coherent, and there should be effective coordination, collaboration, cooperation and
information sharing among stakeholders. There should also be effective linkages among the
stakeholders, as well as commitment to their roles in the production of statistics. To achieve
effective participation of the stakeholders in the NSS, there is a need to institute an association of
the stakeholders. Such an association will allow the stakeholders to organise an annual forum to
discuss, inter alia, the performance and concerns with respect to statistical production,
distribution and access and recommendations for improvement. There is a need also to produce a
Newsletter to share statistics related information on a more regular basis.
Issue 4: Periodically upgrading the knowledge, skills and competence of Professional
Statisticians
Improvements in the production of sound statistical data has seen rapid changes over the past
several years, especially as it relates to infrastructure, and to a greater extent, production
techniques. However, within developing countries, including Ghana, these improvements are not
immediately incorporated into statistical activities. The old inefficient and ineffective techniques
and insufficient infrastructures continue to be used for an extended period, well beyond their
usefulness. Part of the problem stems from the lack of information, and often even awareness, of
the rapid changes that are occurring. There is a need to regularly search for developments in
statistical techniques and infrastructure and to upgrade the knowledge, skills and competencies of
the professional staff of the MDA statistical units through training and workshops.
Issue 5: Promoting an effective use of scarce Professional Statisticians
Funding is a major challenge for carrying out statistical activities in the country. The Ghana
government’s budgetary allocation remains the most important source of funding for the
statistical units of the MDAs; this funding source is, nonetheless, inadequate. Donor funding is
also inconsistently available, but usually tied to specific projects, and, thus, not sustainable.
As previously stated, the Professional statisticians in the National Statistical System are very few,
particularly in the sector Ministries. In fact, some of the sector Ministries cannot claim even a
single Professional Statistician. Many sector Ministries have “trained” individuals who are
assigned to work as statisticians, though they have no formal training or qualification to be
deemed as such. The GSS has a good number of Professional Statisticians within its ranks.
Collaboration in carrying out statistical activities in the NSS can greatly enhance the effective use
of the scarce statisticians.
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Issue 6: Improving the effectiveness of statistical laws
The process of producing official statistics in the country is governed by PNDC Law 135 of 1985.
However, some sections of the law are not very effective; for example (i) the monetary fine for
people and organisations who refuse to provide information officially requested, and (ii)
stipulating that routine censuses and surveys should be conducted according to the established
cycles. There is also a need to have legal provisions made reflecting the recent trend with the NSS,
and therefore existing laws that have a bearing on the performance and management of the NSS
or its component statistical units should be reviewed consolidated.
Issue 7: Improving collection of quality data
The quality of the statistics produced is seriously undermined if there were problems with the
initial data collection. This is particularly the issue with census and survey data. The problems
may arise through unscientific methods of data collection, editing, coding and data entry in the
computer, as well as the attitudes of field staff and respondents. Part of the problem with data
collection is inadequate knowledge, skills and competence level of some of the MDA statisticians,
especially in the design of survey methods. There is, therefore, a need to upgrade, through
training workshops, the knowledge, skills and competence of Statisticians in scientific survey
methods and also new developments in those areas. Additionally, the field staff and respondents
of questionnaires should be sensitised to the importance of their respective roles, and
respondents should be encouraged to provide accurate responses.
Issue 8: Promoting the use of common concepts, definitions, classifications, and improving
consistency while eliminating contradictions in official statistics, etc.
The statistics produced in the country are not only used locally, but also by international
organisations, development partners, NGOs with international linkages, etc. Currently, MDAs use
different concepts, definitions, classifications, and methods, without always providing the
metadata upfront. In many of these instances, the concepts, definitions, classifications, etc., do
not meet internationally accepted standards. There is a pressing need to harmonise and
standardise these among the MDAs. It is also necessary to produce and present statistics in ways
that meet international standards. This issue can be addressed by first compiling a document that
presents all the concepts, definitions, classifications, etc., agreed upon among the MDAs and
international organisations, development partners and others, who also use the statistical data
produced in the country.
The official statistics produced and released by the MDAs are often in conflict, not only with the
GSS, but with other MDAs. This, naturally, reduces the credibility of those statistics produced by
the respective MDAs. To avoid this, there needs to be standardisation and harmonisation of
concepts, definitions and methodologies.
Issue 9: Improving timeliness in the release of statistical data
The release of statistical information produced in the country is often unduly delayed, affecting
the quality of the statistics in many ways, and rendering data useful only for historical purposes.
28
These delays in the release of statistics are partly blamed on delays in data collection, processing,
and publishing the statistics in a convenient way. To ensure timely release of statistics, the causes
of delays should be studied, and appropriate measures put in place.
Issue 10: Improving relevance and appropriateness of statistics
For statistical information to be useful, it should be relevant, not only in terms of time of
production and release, but also the appropriateness for different users. The statistics produced
should, therefore, be extensively disaggregated to as many levels as possible, and the area and
items covered in the production of the statistics should be all-inclusive (e.g., crops covered,
geographical coverage, etc.).
Issue 11: Improving data analysis and interpretation
Data analysis and interpretation are important aspects of statistics production. They provide an
understanding of exactly what the statistical data represents. Data analysis and interpretation are
not adequately carried out in the MDAs, partly because of the lack of properly trained staff. To
address this problem, the MDAs must employ staff with the requisite academic background. They
must also upgrade their knowledge, skills and competence through short training courses,
specifically on data analysis and interpretation.
Issue 12: Improving dissemination and sharing of statistical information with the general
public
The dissemination of much of the official statistical information, such as the Quarterly Digest of
Statistics, is irregular. There is also inadequate information as to how the public can access many
of the official statistics produced. The statistical publications by the Ghana Statistical Service are
distributed primarily through an outlet located at the head office. The official statistics produced
by sector ministries are not formally distributed to the general public. They are, however, made
available to the public as computer printouts, upon request.
Much of the statistical data produced by the MDAs does reach the general public or potential
users. The problem is due, in part, to an inadequate supply of information being made available to
the general public on what statistics are produced; who is producing what; the periodicity of the
production; and where and how the statistics can be accessed. There is also a need to inform the
general public regularly, which can be done through the issuance of a brochure on statistics
production for the general public and the updating of it at regular intervals.
Issue 13: Eliminating gaps in statistical data
The gaps in the production of statistical data need to be removed substantially in order to improve
the quality of official statistics in the country. Many of the national commitments, to national and
international policy recommendations are not translated into data requirements. The M&E
framework of the GPRS requires that an annual progress report (APR) be compiled each year. Yet,
the data are often not available for the year under review. It would be necessary to relate the
data collection plans with these and other data needs so that to the extent possible, they can be
taken into account in upcoming data collection exercises, or deliberately programmed.
29
Issue 14: Establishing GSS offices in the remaining districts
The decentralisation of the public administration, development planning, monitoring and
evaluation to the districts that began in 1988 has put enormous pressure on the GSS, not only to
disaggregate statistical information, but also to provide or assist in providing the additional
statistics that the District Assemblies require on a timely basis. The GSS has responded to this
challenge by establishing offices in some of the districts. To date, the GSS has been able to
establish statistical offices in 96 of the 170 administrative districts in the country. It is vitally
important that the GSS be able to establish statistical offices in the remaining districts, as soon as
possible.
Issue 15: Improve ICT infrastructure, access to data, storage and archiving of information
All of the producers of official statistics should have the ability to access data and other
information available in the NSS to facilitate their own work. Unfortunately, this is not the
situation, currently. In order to achieve this objective, it will be necessary to establish databanks
at the MDAs and link all of them, including the central databank of the GSS.
5.2 Framework for Data Development and Management
Meeting data needs of users is one of the means by which the relevance of the Service, and the
statistical system at large, is judged. Orienting the programme of work to fill the identified data
gaps is therefore a necessary component of Strategic Plan. The proposed data collection
activities, as shown in Table A8, form the critical aspects of the data development of GSS at the
national, regional and district levels. The existing routine data collection programmes will be
reationalised with the new programmes that have been to generate the necessary statistical data
and indicators, for which no information is currently available.
The matrix of programmes that are scheduled for implementation will:
(a) Ameliorate the compilation of national accounts and other relevant economic indicators
including indices of producer and consumer prices, employment, exports and imports;
and extend the PPI to cover other sectors; as well as facilitate the change from the 1968
System of National Accounts (SNA) to the 1993 System of National Accounts (SNA),
which offers a broader framework for organising the range of economic statistics.
(b) Systematise the collection of benchmark data for programme targeting, and
subsequently for updating the indicators needed for monitoring and evaluation.
(c) Normalise the dissemination of statistics targeting different categories of users with
respect to technical knowledge, skills and usage, and the medium.
One of the purposes that the proposed data collection should serve is: to track progress being
made in poverty reduction, i.e., GPRS, MDGs, African Peer Review Mechanisms (APRM), the
Government of Ghana Annual Budget, and the National Development Planning Commission
(NDPC) Annual Progress Report (APR). These data development activities will be extended to the
MDAs, for integrated and consolidated data development, within the context of the National
30
Statistical System (NSS). MDAs will form part of the advisory committees that decide on the
content of the questionnaires that are adopted for each survey.
5.2.1 Economic statistics and related indicators
(a) National Accounts Statistics
Within this subcomponent, we aim to produce national accounts statistics that are timely, reliable
and in line with internationally accepted methodologies and standards, such as the 1993 System of
National Accounts (93-SNA), the GDDS as an instrument for monitoring macro-economic trends
and short-term movements. The objective of this subcomponent will be achieved in the following
ways:
I. Enhance skills and techniques involved in preparing quarterly national accounts, compile
initial estimates through production approach, and subsequently extend to expenditure
approach, as more data sources become available;
II. Improve compilation of annual national accounts, using the new data sources that
become available under the programme;
III. Implement fully the 93-SNA and study, and introduce in Ghana the revised SNA
methodology due to be available in 2009;
IV. Compile Social Accounting Matrix (SAM) containing key social and poverty monitoring
indicators and concise analysis on the development of indicators, publish and revise them
annually;
V. Compile Supply and Use Tables (SUT) for a benchmark year, investigate and analyse
discrepancies in it and document the SUT methodology, research and findings involved in
its balancing;
VI. Document and publish methodology used in the compilation of quarterly and annual
national accounts, SUT, input-output tables and SAM;
VII. Create and analyse input-output tables; and
VIII. Introduce and master techniques for the compilation of quarterly national accounts.
During the period of implementation, the GSS will produce national accounts statistics that are
timely, reliable and in line with internationally accepted standards including the GDDS Data
Quality Assessment Framework (DQAF) for monitoring macroeconomic trends. This objective will
be achieved through the following actions:
(b) Price Statistics
The area of price statistics requires special attention. Considerable work is needed in developing
an integrated work programme on price statistics that would provide a basis for the calculation of
appropriate deflators, track price movements in the economy, and provide policy makers with the
tools to address future inflationary pressures as they emerge. An appropriate framework for price
statistics should encompass consumer prices, producer prices, and agricultural prices. One of the
programmes that have promoted capacity building in price statistics is the International
31
Comparisons Programme Africa (ICP Africa). The prime objective of ICP Africa was to build
capacity in price statistics and to harmonise methodology in price statistics for easy comparison.
This subcomponent will produce timely and reliable Consumer Price Indices (CPI) in accordance
with internationally accepted standards, and in line with the GDDS Data Quality Assessment
Framework (DQAF) for monitoring inflationary trends in the economy. It is considered important
data for the establishment and implementation of sound monetary policies. The objective of this
subcomponent will be achieved through the following actions:
I. Increasing the number of goods in the basket;
II. Improving data collection methodology;
III. Expanding the number of markets from which prices are collected; and
IV. Document and publish methodology used in the compilation of the Consumer Price Index.
Consumer Price Index (CPI) - Under the Consumer Price Index, two main activities would be
pursued: first, employment of various technical and methodological issues involving the
calculation of CPI, and second, the development and testing of new commodity specifications,
sampling of new outlets, and the calculation of weights, based on the Ghana Living Standard
Survey (GLSS-5) patterns of expenditure will be used.
Producer Price Index (PPI) - GSS started producing PPI in February 2007. The index measures the
average price changes, over a period of time, in the prices set by domestic producers for the
production of their goods and services. The index covers the manufacturing, mining and quarrying
sectors, and utilities subsectors of industry. In this Plan, the GSS will review the methodologies
and expand data collection on the basket of items, as well as the construction subsector. The
scope and the nature of the PPI will also be revised to take into account the long term view of
developing a regional-level PPI. The indices will measure price trends more comprehensively and
contribute to improved deflation of the national accounts.
(c) Other indices
Production and Employment Index (PI/EI) - GSS compiled and disseminated the production index
(PI) over a period of time in the past, but data collection difficulties and delays in receiving the
returns from the sample of establishments has led to interruptions in its release. The collection of
production information from establishments will be restored, and information on employment in
these establishments will also be collected as a basis to compile the employment index.
5.2.2 Statistical inquiries
There are four main types of primary data collection to be undertaken as a means to complement
and supplement the statistical information that are to be compiled from administrative sources,
namely:
(a) 2010 Population and Housing Census
(b) 2011 Agricultural Census
(c) Annual establishment based surveys
(d) Annual household/population based sample surveys
32
(a) Population and housing census (PHC)
Ghana has conducted regular population censuses at approximately ten-year intervals, from 1891
to 2000. Following the 10-year interval recommended for censuses by the United Nations, the
2000 Population and Housing Census should have been the fifth to be conducted during the post-
independence period. The 1980 and 1990 censuses could however not be held as scheduled, and
in the 30 years spanning the 1970 and 2000 censuses only one census was collected, in 1984. The
next round is scheduled for 2010 and to maintain this 10-year cycle this plan should be adhered to.
The population census will provide the benchmarks for the district level population characteristics
and size, and the basic distributions needed to establish population estimates and projections,
which the Service has not managed to compile for more than two decades. In Africa, the
population and housing censuses have made a significant contribution to the development of the
NSS, in general, and in particular, to the development of social statistics. It provides benchmark
data needed to plan for socio-economic development and to calculate a number of development
rates.
(b) Agricultural census
An agricultural census has not been conducted in Ghana since 1985. One is scheduled for 2011,
immediately following the 2010 population census. While annual surveys were being conducted in
the intervening period, the estimates obtained are not consistent with the levels generate from
the Ghana Living Standards Surveys. It is necessary to obtain benchmark agricultural data,
disaggregated at the district level. It will also provide a sampling frame of holdings for multiple-
purpose agricultural sample surveys. The frame for the agricultural census will be drawn from the
population census.
(c) Annual establishment based surveys
The Service has conducted industrial censuses before, but relatively infrequently, compared with
the household-based surveys. The last national industrial census (NIC) was conducted in 2003,
almost 20 years following the previous census. The 2003 NIC covered only mining and quarrying,
manufacturing, construction and the production and distribution of electricity and water. The
survey combined a census, covering establishments, establishments engaging 10 or more persons,
and a representative sample of manufacturing establishments engaging less than 10 persons.
There is critical need to cover all sectors of the economy and it is therefore proposed to adopt a
modular approach to an annual survey of enterprises. The survey focus will change from one year
to the next, and by the end of the five years, all the sectors would have been covered. The main
surveys to be conducted are the integrated business survey, informal sector survey, distributive
trade survey, transport survey, and tourism survey.
The integrated business enterprise survey (IBES) will be launched as an annual survey to replace
existing data collection forms from establishments. Subsequently, the survey will be focused on
specific areas of concern. It will in the first year cover all enterprises, irrespective of sector of
operations, and will cover the full set of financial accounts, appropriately disaggregated to support
the national accounts compilations. Other appropriate modules to obtain output information,
33
employment and wage data will accompany the main form. The survey will also be multi-sectoral,
thereby capturing activities that are not currently covered by on-going sector-specific surveys.
Implementation of the IBES will lead to the elimination of a number of current industry and
business surveys that no longer provide relevant data. It will be designed to collect the requisite
data for compilation of the national accounts and the estimation of the balance of payments
(BOP), private capital flows and investment indicators.
The informal sector survey, comprised largely of own account workers and the self-employed with
“few” regular employees, accounts for a substantial proportion of employment in the country,
while also contributing significantly to total production and national income. There has however,
not been any real attempt to accurately measure the contribution of the informal sector to the
economy. The informal sector survey will be one of the main surveys to be conducted during the
five years of the Plan, and will be complemented with the other establishment based surveys.
Distributive trade survey (DTS) - There has been a wide gap in data produced on distributive trade
in the country. Survey instruments developed, which serve as the framework for the annual
surveys, are either incomplete or out-of-date, because the pattern of distributive trade has
changed rapidly with time. It has, therefore, become necessary to review these instruments in
order for full scale distributive trade surveys to be undertaken on a regular basis. This will provide
an up-to-date accurate description of trading activities in Ghana. The main objectives of the
survey are to:
i. Determine the contribution that distributive trade makes to the national economy
ii. Determine the number of people engaged in this sector
iii. Obtain benchmark data that will be used as a basis for updating of distributive trade data.
iv. Obtain data on the activities within this sector that will be internationally comparable
v. Build a database on shopping centers and their physical locations within the country.
Data collected from the survey will also be useful for the compilation of the national accounts.
The results will provide information on the persons engaged in the sector, wages earned, revenue
from sales and various expenditure items incurred within the sector.
The transport and tourism institution survey - The GSS has collaborated with Ministry of Transport
(MOT), on the implementation of the Transport Sector Program Support Phase II (TSPS II). Its
objective was to improve the effectiveness of implementation of policies and programmes for the
transport sector, including related infrastructure and services. Two analytical tools were
developed: a Social Accounting Matrix (SAM) and a Performance Assessment Model. The
Household Survey part of the programme is to be conducted every three years to update these
analytical tools. There is need to review estimates of the contribution of the transport sector to
national accounts. Tourism survey is fundamental for developing complete account of the
economy and for tourism satellite accounts (TSA) is integral to the System of National Accounts
framework and the Social Accounting Matrix (SAM). It is to provide benchmark information for
inbound, domestic and outbound tourism, as well as accommodation units and tourism
intermediaries. It also provides a frame for future surveys and ensures that periodic surveys can
be conducted to update the benchmark data.
34
(d) Household/population based surveys
The Service will adopt an integrated household survey to generate the needed data for the
relevant social and demographic statistics. The GSS has conducted several surveys, when and as
funding has become available. While each survey activity is important, there is the need to
rationalise and integrate those that generate similar indicators in order to maximise the available
scarce financial resources and minimise duplication of efforts. Thus, surveys such as the DHS,
MICS and Situational Analysis, will be integrated under DHS. Similarly, the Labour Force Survey
will be integrated into the Household Income and Expenditure Survey, whiles indicators for
Tourism Satellite Accounts Survey and Transport Indicators Survey, among others, will be captured
under appropriate surveys using modules. The set of surveys will be conducted annually and will
take the modular approach. The survey will have a different module of focus each year, while all
the surveys will have the basic socio-economic characteristics, including economic activity. The
modules to be included will cover: gender issues/time use survey, income and expenditure survey,
labour force survey, migration survey, and the demographic and health survey.
Gender and development Survey shows the status of women compared to men, and serves as a
tool for measuring progress towards gender equality and the empowerment of women. While
much of the data needed for the analysis of gender concerns can be derived from other surveys,
once the necessary precautions have been taken and the appropriate procedures followed, time-
use is a special survey that provides data on gender relations. A time use survey is also needed to
sharpen the tools for collecting accurate and realistic information on economic activity particularly
of those in unpaid work.
The Labour Force Survey (LFS) is to collect information on the Ghanaian labour market
experiences, which can then be used to develop, manage, evaluate and report on labour market
policies. The LFS has a Child Labour module that can also be implemented.
The Household Income and Expenditure Survey (HIES) will serve as the main source of data on
household income and expenditure, which includes among others, levels of consumption by item
of expenditure, as well as sources of income in cash and in kind. The results of the HIES will
provide information on the levels of living and disparities in income of Ghanaian households, as
well as their spending patterns. At a regional/district level, as well as different socio-economic
level, the HIES will provide an estimate of family income and expenditures. The data gathered will
be particularly useful for the following indicators:
i. Revision of the CPI number base;
ii. Inter-temporal comparisons;
iii. Measurement of absolute and relative poverty;
iv. Basic data on the distributive effects of taxes and social benefits;
v. Effects of socio-economic programs and welfare policies
vi. Compilation of SNA in “Use of Income Account;”
vii. Data needed for statistical demand analysis; and
viii. Revision of minimum wage levels for wage earners.
The HIES could also generate a large part of the data needed for preparation of the household
institutional sector national accounts, measurement of poverty and living standards, calculation of
35
household consumption, and weights for the CPI. Information collected through the modules
would provide both wage data and earnings from businesses, agricultural and other secondary
activities. Other modules could include crop production and labor activities.
The demographic and health survey (DHS) has as its principal objective of DHS the provision of
data for a wide range of monitoring and impact evaluation indicators in the areas of population,
health, and nutrition; fertility and family planning behaviour; infant and child mortality;
breastfeeding; antenatal care; children’s immunisations and childhood diseases; nutritional status
of mothers and children; use of maternal and child health services; and awareness and behaviour
regarding AIDS and other STIs to monitor the population and health situation in the country. Other
features of the Ghana DHS include user-requested modules for the collection of such information
as female and male circumcision, information on malaria and ownership and use of insecticide-
treated bed nets, and haemoglobin and HIV testing. A parallel survey is the Multiple Indicator
Cluster Survey initiated by UNICEF. There is substantial overlap between the two surveys and they
will therefore be merged to rationalize the resources required.
5.2.3 Dissemination of the data
While all the surveys have a component on dissemination of the results, the target of the
dissemination tends to be the category of users who have particular interest and skills in the
analysis and repackaging of the data. This leaves out a substantial segment of the users and other
stakeholders, including those from whom data were collected. It is necessary to diversify products
and repackage information to suit the different combinations of technical knowledge, competency
and type of use of the data. In addition to the dissemination of the statistical inquiry data, the
information being compiled by MDAs should also be made readily available to a wide range of
audience at regular intervals. In the development of these dissemination tools and products,
particular attention will be devoted to gender issues in the presentation and dissemination.
5.3 Thrust of the Strategic Plan
5.3.1 Core objective
The main objective for developing national statistics is to strengthen the National Statistical
System to enable it to perform its functions efficiently and effectively in order to produce quality
statistics.
The strengthening of the NSS implies that the capabilities of the statistical producers in the system
are functioning efficiently and effectively. Specific actions required to develop and strengthen the
capacity of the official statistical producers are shown in Table A8.
36
5.3.2 Strategic objectives
The specific strategic objectives are those that are measurable in the implementation of the
Strategic Plan. How to measure the outputs in these areas are indicated in the log-frame Table A9.
Fifteen Strategic Objectives (SO) are considered under the four strategic goals.
1. Improving Policy, Regulations and Institutional Framework
SO 1: To create awareness of the importance of statistics.
SO 2: To develop MDA statistical units.
SO 3: To improve stakeholders’ participation in statistical production
SO 4: To improve and/or upgrade the knowledge, skills and competence of MDA Statisticians,
on a periodic basis.
SO 5: To promote resource mobilisation and effective use of scarce resources for statistical
production.
SO 6: To improve the effectiveness of statistical laws.
2. Statistical Infrastructure
SO 7: To improve statistical infrastructure, production and services, in order to enhance
statistical quality.
SO 8: To promote the use of common concepts, standards, and classifications in line with
international acceptance, and improve consistency in official statistics.
3. Data Development and Management
SO 9: To improve timeliness in the release of data.
SO 10: To improve relevance and/or appropriateness of data.
SO 11: To improve data analysis and interpretation.
SO 12: To improve data production and dissemination of statistics and share information with
the general public on statistics production.
SO 13: To minimise statistical data gaps.
4. Investment in Physical Infrastructure & Equipment
SO 14: To establish GSS offices in the remaining administrative districts and provide adequate
office space and essential office equipment for the MDA statistics units.
SO 15: To improve ICT infrastructure, access to data, storage and archiving of information.
37
6. Strategic Plan Implementation, Monitoring and Evaluation
6.1 Institutional setup
It is essential that all stakeholders accept the strategic plan and the five year programme.
Consultative meetings have been held with stakeholders to solicit views and inputs. The rationale
behind this was for them to take ownership of the finished document, which will build
commitment for the successful implementation of the strategic plan and the five year work
programme from 2009 to 2013.
Implementation of the Strategic Plan will require the set-up of a number of structures to ensure its
success. Those structures needing to be established include (i) Coordinating Secretariat, (ii)
Steering Committee, (iii) Technical Advisory Committee, (iv) Ad-hoc Committees, and (v)
Consultants.
6.1.1 NSS Coordinating Secretariat
The scope of the activities suggests the need to have some coordination mechanisms in place.
There are two dimensions for coordination (i) at the activities level, and (ii) at the funding level.
Activity level coordination: The many activities that will be carried out by different stakeholders
will need to be coordinated in order to ensure focus, direction, timeliness, etc. of the statistics.
There are also several activities that have to be initiated from a central point, on behalf of the
participating agencies and other MDAs. GSS, as the central agency for statistics production in the
country, will play the role of coordinator. The current organisational structure of GSS has two
units that will provide the institutional support for implementation of the activities of the Plan.
The Coordination and Capacity Building Division, and the Project Monitoring Unit of the Office of
Government Statistician will be strengthened.
The Coordination and Capacity Building Division will be assigned additional senior staff who will
support the work of the MDAs, and ensure the implementation of the activities. The Division, in
collaboration with the respective Divisions of the GSS and the statistics units of MDAs, will
implement programmed activities. The functions of the Coordinating division will include:
(a) Initiate all the activities in the Strategic Plan;
(b) Publish and distribute the proposed brochure and newsletter;
(c) Provide secretarial support to the Steering and Technical Committees;
(d) Monitor the progress of the Plan implementation; and
(e) Keeping all stakeholders informed of progress.
The Project Monitoring Unit will be reoriented with expanded functions to cover strategic planning
and programme monitoring. The staff strength of the Unit will be augmented, and in addition, a
38
technical adviser with experience in organisational change management, who reports to the
Government Statistician, will support the Unit, train and advise the staff of the Plan.
The Unit will direct the implementation of the Plan and be responsible for the following:
(a) Review the implementation plan and align activities with strategic objectives;
(b) Produce accounts on the expenditure on the Plan;
(c) Arrange for the evaluation of the GSDP.
(d) Producing quarterly reports on progress, covering all actions identified in this strategy;
(e) Producing an annual update of the work plan, to take account of new development and
progress on implementation.
Coordination of financial inputs – The GSS has agreed with development partners that a Trust
Fund will be set up to receive support from those partners who will subscribe to pooled funding.
The Trust Fund will be managed by the World Bank, Ghana Office, with technical support from
DFID.
6.1.2 NSS Steering Committee
The NSS Steering Committee will oversee the implementation of the GSDP. The Committee will be
comprised of seven members in the ranks of Chief Director, the Director-General of the NDPC,
representative of Bank of Ghana, the Government Statistician, the representatives of external
funding agencies and the NSS coordinator who will serve as the secretary to the Committee. The
NSS Steering Committee will meet once a year in the conference room of the GSS. The members
will be notified at least a month in advance and the materials for discussion will be sent to them at
least two weeks in advance. The Terms of Reference for the NSS Steering Committee will include
the following:
(a) Approve policies and mechanisms;
(b) Approve annual programme and budget;
(c) Comment on annual progress report;
(d) Lead the advocacy and lobbying for infrastructure, funding, etc.;
(e) Approve resource and technical requirements; and
(f) Promoting and publicizing the Strategic Plan and implementation progress.
6.1.3 NSS Technical Committee
NACPUS will be revamped and strengthened in order to play the role of the NSS Technical
Committee. Membership of NACPUS will consist of chairpersons of the Statistics Sectoral Working
Groups (SSWGs) and GSS Divisional Heads. The Head of the Coordination & Capacity Building
Division will coordinate the activities of NACPUS and SSWGs. The Committee will meet twice in a
year, during the first and fourth months of the year, in the conference room of the GSS; the dates
for the meetings will be determined a couple of months in advance. The Terms of Reference for
the NSS Technical Committee will include the following:
1. Review progress and critical issues constraining the successful implementation of the
GSDP, and propose the way forward;
39
2. Prepare and review the annual GSDP activities and budgets for submission to the
steering committee;
3. Review workshop programmes and budgets;
4. Contribute to the formulation of policies and mechanisms;
5. Review and/or appoint ad-hoc committees and consultants and determine their
respective Terms of Reference;
6. Develop a framework for mobilising, harnessing and leveraging resources, both
national and international, as a basis for effective and results-oriented strategic
management of the NSS;
7. Sensitise and expand the collaborative activities with key stakeholders (including the
developing partners), and support the production and distribution of statistical data;
8. Embark on a route of extensive and vigilant advocacy to take on all stakeholders,
including the Government of Ghana, and emphasise the urgent need for all
departments and agencies to have statistical units staffed with requisite qualified
personnel;
9. Review the list of committee members regularly and replace absentee and non-
performing members with officers, either from the same institutions or allied ones;
10. Set milestones within work programmes of the SSWGs.
6.1.4 Ad-Hoc Committees
Ad-hoc committees, whose membership will not exceed three, to work with consultants to
produce reports on the following:
(a) Monitoring
(b) Evaluation
(c) Statistical user needs and satisfaction study
(d) Capacity needs assessment of MDAs
(e) Any other issue that requires investigation and report
6.1.5 Technical Advisers
The organisational structure and staffing in GSS would need to be supported with six technical
advisers for the following areas:
(a) Strategic Planning and Change management
(b) Economic Statistics
(c) Population Census
(d) Public Relations and Communication
(e) Database Management
(f) ICT Applications.
40
These positions will provide required technical inputs and direction to the main areas of
intervention in the Strategic Plan. The Advisers will mentor and coach staff and provide hands on
training.
6.1.6 Consultants
Short-term consultants will be needed to undertake specific assignments in these areas:
(a) Statistical user needs and satisfaction study;
(b) Capacity needs assessment of MDAs;
(c) Monitoring;
(d) Evaluation; and
(e) Any other issues approved by the Technical Committee.
6.1.7 Society of Official Statisticians of Ghana
Problems facing the statistical community are both “horizontal” and “vertical.” The former covers
problems of communication between individuals working at the same level, i.e., all are
Statisticians, but working at different universities, in government or in industry. The latter covers
such problematic issues, as the facts that (1) students trained in theory are not always suited to
the needs of industry, (2) there is difficulty in attracting students to graduate programmes, and (3)
there is little contact between theoretical and applied statisticians.
With the support of GSS and in collaboration with the respective Statistics Departments of the
research and training institutions in Ghana, the Ghana Statistical Association was recently revived.
The GSS will promote at the NSS level active participation of statistical staff of the GSS and MDAs
in the GSA. In parallel, GSS will constitute the Society of Official Statisticians, which primarily
comprises staff of the national statistical system. The primary objective of the Society is to
promote professional values and ethics among those who have the responsibility of producing
statistics for the nation.
Activities of the proposed Society include:
(a) Participating in the meetings of the GSA
(b) Teaming up to analyse data for presentation at seminars and conferences
(c) Convening within the NSS and with the research community, annual meetings of
Chapters of the Society to plan activities for the year
(d) Popularising the study of statistics and the practice of career in official statistics
(e) Promoting the participation of women in production of official statistics.
41
6.1.8 Project reporting
The government structures have systems in place for coordination, information sharing,
monitoring and evaluation of regular programmes. These arrangements for reporting include: the
Chief Directors’ Forum, the Council of State, the cabinet, the relevant parliamentary committee,
and the meeting of MMDA executives. Another group which will be kept informed is the M&E
group which is chaired jointly by the Government of Ghana, represented by the Director-General
of the National Development Planning Commission (NDPC), and a representative of the
development partners (DP).
6.2 Time Schedule for Plan Implementation
The time schedules of the implementation of the activities in the GSDP are shown in Table A8. All
the activities are expected to begin within year one. While some activities will continue
throughout the five-year period, others will be completed at various points during the period.
There may be a need to adjust the timing of some activities due to unforeseen circumstances,
particularly, funding delays.
6.3 Monitoring the Plan Implementation
The monitoring of the GSDP implementation will be carried out every six months. It will be done
by reviewing the initiation and extent of carrying out activities, achievements and constraints
during the period. The GSDP log-frame indicates the activities due for implementation, those that
are on-going, the extent and time left to complete an activity and the specified output to be
achieved. The monitoring will take into account the participating MDAs achievement and
challenges in implementing their respective SSPS. The participating MDAs will be tasked to
produce quarterly reports on their performance and challenges. An ad hoc committee of
stakeholders and consultants will carry out the monitoring exercise.
6.4 Evaluation of the Strategic Plan Outcomes
The evaluation of the Strategic Plan will be conducted at the end of the first three years and at the
end of the entire plan period (five years). The evaluation at the end of the first three years will
focus on assessing the relevance of the strategic objectives, activities implemented, as well as
those not yet implemented, achievements and challenges, and changes that may be required in
implementing the rest of the Strategic Plan. The end of period (5-years) evaluation will focus on
the overall achievements, the quality, and factors that conditioned the results. The quality will be
assessed by the funds applied, the extent of the achievements and the important assumptions
made in the log-frame. The main indicators for the evaluation exercises will be the expected
outputs at the appropriate points in times in the schedule of the plan implementation Table 4.
The evaluation will be carried out by an ad hoc committee of stakeholders and consultants.
42
Table 4: Activity Implementation Performance Indicators
Activity Measure of Performance
i) Organising Statistical literacy training
workshops in all regions
ii) TV and Radio discussions
iii) Articles in local newspapers;
iv) Statistics Week /African Statistics Day
celebrated nationwide
v) Designing strategies for advocacy and
lobbying
i) Two organised in two regions annually
ii) Two organised annually
iii) Two articles in local newspapers annually
iv) Annually
v) Strategy designed by first quarter of 2009
i) Assessing MDA statistical capacity and
needs
ii) Advocacy and lobbying MDAs to
provide
a) Statistical infrastructure,
b) Recruit and train statisticians,
c) Provide adequate and timely funding
for statistical work
iii) Designing mechanism for GSS
technical back-stop activity
i) Capacity and needs assessed by mid-2009
ii) Advocacy / lobbying began in fourth quarter of 2008
iii) Statistical infrastructure provided by 2009
iv) Required statisticians recruited and trained by 2009
iv) Adequate and timely funding provided by 2009
v) Mechanism to provide technical backstop designed by 2009
i) GSS Securing office space
ii) Providing infrastructure
iii) Recruiting and training district
statisticians
iv) Sensitising District Assemblies and
other institutions of GSS presence;
v) Advocacy for District Assemblies
cooperation, collaboration, etc. and
support
i) Offices secured in 15 districts annually beginning from 2009
ii) Adequate physical and statistical / ICT infrastructure provided
iii) Statisticians recruited and trained for the established offices
iv) District Assemblies and other institutions in districts made aware of
presence of GSS
v) Advocacy / lobbying carried out in the districts for cooperation, etc.
i) Formation of general stakeholders’
association (General Assembly)
ii) Organising biennial association
meetings of General Assembly;
iii) GSDP Newsletter production
i) General stakeholders’ association formed by mid-2009
ii) First biennial meeting organised in mid-2009 and second at the end of
2009 and the cycle continues in the subsequent years
iii) First quarterly “GSDP Newsletter” produced in March 2009
i) Engaging consultant to review MDA
databanks and ICT situation and needs
ii) Lobbying MDAs to provide for the
needs to develop databanks and ICT
i) MDA databanks / ICT situation and needs reviewed and assessed by
end 2009
ii) Lobbying MDAs to provide for the needs to develop databanks / ICT
facilities begins by mid 2009
i) Training MDA Statisticians on survey
methodologies and data management,
etc.;
ii) Training field data collection staff
iii) Sensitising data suppliers to provide
accurate and timely data;
MDA Statisticians trained on survey methodologies and data
management, etc. by 2010;
ii) Field data collection staff trained by 2010
iii) Data suppliers sensitised to provide accurate and timely data 2010
i) Training Statisticians to build capacity
for expedition of data processing
Statisticians trained to build capacity for expedition of data processing
by 2010
43
Table 4 Cont’d Activity Measure of Performance
i) Conducting user needs and satisfaction
study
ii) Producing statistics desegregated to
appropriate levels
i) User needs and satisfaction study conducted by 2010
ii) Statistics desegregated to appropriate levels produced reflected in
every published documents
i) Recruiting and building capacity of staff
in data analysis and interpretation
i) Staff recruited and capacity built in data analysis and interpretation
i) Compiling internationally acceptable
concepts, definitions, classifications,
survey methodologies, etc.;
ii) Organising workshops to discuss and
agree on standards, definitions,
classifications, etc.
i)Internationally acceptable concepts, definitions, classifications, survey
methodologies, etc compiled by 2010;
ii) Workshops to discuss and agree on standards, definitions,
classifications, etc organized by the third quarter of 2009.
i) Production of brochure and updates
i) Brochures and updates produced yearly
i) Organising on-the-job training
workshops on specific topics and
developments in computer, software,
data capture, etc
ii) Identification of institutions offering
short statistical training courses,
iii) Identification of statistical training
sponsorship institutions
i) On-the-job training workshops on specific topics and developments in
computer, software, data capture, etc organized by yearly
ii) Reputable institutions offering short statistical training courses
identified by the third quarter of 2009,
iii) Reputable statistical training sponsorship institutions identified by
2010
Sensitising administrative data suppliers
to supply timely data
Administrative data suppliers sensitised to supply timely data by 2010
i) Designing mechanism to exploit
knowledge, skills and competence of
scarce statisticians
i) Mechanism to exploit knowledge, skills and competence of scarce
statisticians designed by 2010
Designing and implement statistics
dissemination and access policy
ii) Designing statistics dissemination and
access programme
Statistics dissemination and access policy designed and implemented by
the third quarter of 2009
ii) Statistics dissemination and access programme designed by 2010
i) Advocacy and lobbying Government and
Parliament to amend section 9 (c) ,
sections 17 (2) and 21 (h)
Section 9 (c) , sections 17 (2) and 21 (h) amended by Parliament by 2010
44
7. Budget for the Plan Implementation and Financing
The budget is based on the activities captured in the Log-frame (Table A10) and the costs of the
individual sector budgets.
7.1 Summary of Activities for Developing National Statistics
(i) Creating Awareness of Statistics
(a) Ghana Statistics Week (TV/Radio discussions, newspaper articles, posters, handouts,
etc)
(b) African Statistics Day
(ii) Sensitising Stakeholders
(a) District Assemblies and other institutions in the districts (meeting)
(b) Survey and census data suppliers to provide accurate data (Radio/TV discussion, rural
durbars)
(c) Administrative data suppliers to provide data on time (meeting, and appeal through
correspondence)
(d) MDAs to produce statistics desegregated to the districts, where possible (meeting)
(iii) Building Capacity of MDA Statistical Units
(a) Provision of adequate statistical infrastructure for MDA statistics units
(b) Investment in physical infrastructure and equipment for the MDAs
(c) Recruitment of adequate number of Statisticians
(d) Training statisticians recruited
(e) Provision of adequate and timely release of funds for statistical work
(iv) Recruiting Statisticians
(a) Critical mass of general statisticians for each MDA
(b) Special Data Analysts and Interpreter for each MDA and GSS
(v) Training Workshops
(a) Statistical literacy in the regions and districts
(b) Survey methods and data management
(c) Field staff
(d) Data processing
(e) Data analysis and interpretation
(f) Internationally accepted concepts, definitions, classifications, etc.
(g) Skills to handle developments in computer, statistical software, survey methods, etc.
45
(vi) Advocating and Lobbying
(a) Developing strategy for advocacy and lobbying
(b) Building capacity of MDAs statistical units
(c) Amending sections 9 (c), 17 (2) and 21 (h) of PNDC Law 135
(vii) Conducting Studies
(a) Assessing MDA statistical capacity, the use of existing capacity and requirements
(b) Assessing statistics user needs and satisfaction
(c) Conducting censuses and surveys
(d) Reviewing MDA database / databanks
(e) Identifying internationally accepted concepts, definitions, classifications, etc.
(viii) Providing Technical Backstop for MDAs and District Assemblies by GSS
(a) Identification of areas to provide backstop
(b) Designing strategy / mechanism to provide backstop
(ix) Establishing Remaining GSS District Offices
(a) Provision of offices, infrastructure and staff for remaining districts
(x) Forming Statistical Stakeholders Association
(a) General association of Stakeholders
(xi) Producing Newsletter and Brochure
(xii) Designing Policies
(a) Release of statistics
(b) Dissemination of statistics
(c) Access to statistics
(xiii) Organising Meetings
(a) General association (Biennial)
(b) GSDP Steering Committee
(c) GSDP Technical committee
(d) SSWGs
(e) Statistical Society of Ghana
46
(xiv) GSDP Secretariat
(a) Coordinator
(b) Staff
(c) Furnishing
(d) Stationery
(e) Transport
(f) Office facilities
7.2 The Estimated Cost of the Strategic Plan
The estimated unadjusted cost of implementing the Strategic Plan is shown in Table 5. The
distribution of the costs, by Sectors, is shown in Table 6, while the adjusted cost is shown in Table
7.
The activities were budgeted for based on key priority areas. In this regard, attention is focused
on: (i) Improving Policy, Regulations and Institutional Framework; (ii) Statistical Infrastructure
including ICT infrastructure; Planning for investment in Physical Infrastructure; and (iii) Data
Development and Management in phase one. Investment in Physical Infrastructure like a new
building for the Births & Deaths Registry and an office complex for the GSS, though important for
the development of statistics, would be considered in the second phase.
The total unadjusted cost for the five-year implementing period of the Strategic Plan is US
$121,887,992. The total cost for the first year alone is US $26,507,930., and the cost for the first
three years is US $96,813,090.
The highest expensed activity is the carrying out of surveys and censuses, which accounts for
nearly 77.26 percent of the total implementation cost of the Strategic Plan. The next highest cost,
which takes a little over five percent, is ICT followed by coordination and collaboration (4.1%).
Awareness creation (3.2%) and Training (2.9%) follow in that order (Table 5).
The sector distribution indicates that about 81.8 percent of the total budget is taken up by the
GSS.
In Table 7, the budget has been adjusted for cumulative inflation of 10 percent annually and
contingency of 10 percent to account for hidden or unforeseen costs. With these, the total budget
for the first three years and the 5-year plan period are respectively, US $116,175,710 and US
$146,265,590.
47
Table 5: Annual, Three-Year and Five-Year Unadjusted Costs of Activities (US$’000)
Activity Ye
ar
1
20
09
Ye
ar
2
20
10
Ye
ar
3
20
11
Ye
ar
4
20
12
Ye
ar
5
20
13
3-Y
ea
r
To
tal
5-Y
ea
r
To
tal
%
con
tri-
bu
tio
n
pe
r
act
ivit
y
1. Creating
Awareness/sensitization 774.87 774.87 774.87 774.87 774.87 2324.61 3874.35 3.18
2. Needs assessment/review
of legal framework 53.10 26.50 0.00 0.00 0.00 79.6 79.6 0.07
3. Coordination and
collaboration 1,004.63 1,004.63 1,004.63 1,004.63 1,004.63 3,013.883 5,023.138 4.12
4. Upgrading physical
Infrastructure 0.00 0.00 0.00 330.01 579.99 0.00 910 0.75
5. ICT Infrastructure 4,201.70 2,101.89 0 0 0 6,303.59 6,303.59 5.17
6. Statistical Infrastructure 984.41 984.40 656.30 0 0 2,625.11 2,625.11 2.15
7. Recruiting Statisticians 663.90 506.35 506.35 0 0 1,676.6 1,676.6 1.38
8. Training 776.50 776.50 776.50 597.25 597.25 2,329.5 3,524 2.89
9. Advocacy and Lobbying
for resources 21.50 21.50 21.50 21.50 21.26 64.5 107.256 0.09
10. Improve organisational
structure and management
system 756.50 735.42 735.42 0.00 0.00 2,227.34 2,227.34 1.83
11. Censuses 12821.64 33944.61 9731.08 5617.56 0.00 56497.33 62,114.89 50.96
12. Surveys 4,176.77 3,652.57 11,024.43 5,248.43 7,957.83 18,853.77 32,060.02 26.30
13. Dissemination 242.20 242.20 242.20 242.20 242.20 726.5946 1,210.99 0.99
14. Meetings 21.78 21.78 21.78 21.78 21.78 65.34 108.9 0.09
15.Monitoring & Evaluation 8.44 8.44 8.44 8.44 8.44 25.326 42.21 0.03
Total 26,507.93 44,801.66 25,503.5 13,866.66 11,208.24 96,813.09 121,887.992 100.00
48
Table 6: Activities and Estimated Costs of GSDP by Sector (US$’000)
Activity G
SS
MO
FA
MO
WA
C
MO
C
MO
H
MO
TI
MM
YE
MO
ES
S
B &
D
MLF
M
TO
TA
L
1. Creating Awareness/sensitization
730.25 70.00 - - - - 18.10 -
3,056.00 - 3,874.35 2. Needs assessment/review of legal framework 21.00 30.00 - - - - 8.60 - - 20.00 79.60
3. Coordination and collaboration
1,616.44 250.00
10.00 3.00 24.20 - 13.50 -
3,056.00 50.00 5,023.14
4. ICT Infrastructure 3,709.99 1,520.00
35.30 186.00 44.10 68.00 12.90
216.10
451.20 60.00 6,303.59 5. Statistical Infrastructure
1,563.71 480.00
34.00 370.00 - 177.40 - - - - 2,625.11
6. Upgrading Physical Infrastructure
910.00 910.00 7. Recruiting Statisticians 600.00
103.00 - - 1.60 8.60 -
423.40 540.00 1,676.60
8. Training 1,640.00
10.40 51.00 1,286.00 90.00 2.40
134.50
233.00 76.70 3,524.00
9. Advocacy and Lobbying for resources
107.26 - - - - - - - - - 107.26
10.Improve organisational structure and management system 2,227.34 - - - - - - - - - 2,227.34
11. Censuses
62,114.89
- - - - - - - - 62,114.89
12. Surveys
25,927.22 5,592.00
31.90 - - - -
508.90 - - 32,060.02
13. Dissemination
757.09 210.00 - 50.00 77.90 - 5.00
91.00 - 20.00 1,210.99
14. Meetings - 25.00
12.00 - - 45.00 6.90 - - 20.00 108.90
15. Monitoring & Evaluation 42.21 42.21
Total
99,727.39
10,417.00
236.60
660.00
1,432.20
382.00
76.00
950.50
7,219.60
786.70
121,887.99
Note: Preparatory work for the 2010 Population and Housing census commenced in 2008. An
amount of US$2,084,643 has been released by the Government of Ghana towards the exercise.
Table 7: Estimated Budget Adjusted for Inflation and Contingency (US$’000)
Year/Period Budget Adjusted for
Inflation/
Contingency
(20% Annually)
1 26,507.93 31,809.52
2 44,801.66 53,761.99
3 25,503.50 30,604.20
4 13,866.66 16,640.00
5 11,208.24 13,449.88
Total 1-3 96,813.09 116,175.71
Total 1-5 121,887.99 146,265.59
49
7.3 Financing the Estimated Costs of the Strategic Plan
The Government of Ghana is expected to provide a non-salary programme support of about US
$58.12 million of the estimated total amount of US$121,887.990, leaving a shortfall of US $63.89
million to be provided as follows:
(a) Development Partners
(b) International Organizations
(c) Non-Governmental Organizations
The Ghana Government component is comprised of:
(a) Administration, service and investment US $15.20m
(b) Census (50%) US $31.10m
(c) Surveys (33 1/3%) US $10.69m
(d) CPI & PPI (100%) US$1.13m
(e) Total US $58.12m
7.4 Rationalisation and Prioritization of Budget
The scheduled activities for the plan period have been rationalized (Box 8.1) into three main components as follows: Initial cost (US$9,008,295), Recurrent Cost (US$17,794,785) and Statistical Inquiries (US$ 94,174,912).
The first two years of the plan require an outlay of about 58 per cent of the total budget, largely because of investments in the two censuses and the actual conduct of the Population and Housing Census in 2010. With the additional expenditure on the agricultural census scheduled for 2011, the first three years are expected to take up 79 per cent of the total budget.
It is likely that not all the funds needed for total plan, or even for each year’s activities, will be available by the start of the year. It is therefore necessary to prioritize the activities to ensure that funds raised cover activities and strategic objectives that would lead to the achievement of the overall goal and vision that have been established for the strategic plan.
In terms of priorities, the initial and recurrent costs, which are required to develop and firmly establish the statistical systems of GSS and each of the MDAs, are fundamental to the attainment of the Plan objectives; and to enhance the capacity of the system as a whole to generate and disseminate statistics from routine sources. These are priority activities to be undertaken, and amount to a total of US$ 26,803,080. Of the remaining component, Statistical Inquiries, the programme activities are of three categories:
(i) The two censuses (US$ 62,114,891), (ii) Selected sample surveys (US$18,769,732) required to fill some immediate data gaps,
and (iii) Additional surveys (US$13,290,289) to make up the full complement of surveys
needed to provide a comprehensive statistical data base.
50
The 2010 Population and Housing Census, and the 2011 Agricultural Census are critical for establishing benchmarks for the MMDAs. No viable statistical system can otherwise be obtained to support the decentralization policy of Government. Serious effort has therefore to be made to secure funds for both censuses to be conducted as scheduled. A substantial portion of the 2010 PHC budget is expected to be covered by government, and it is expected that the funding gap will be filled by development partners.
It is therefore in the context of the sample surveys—the annual establishment-based and household-based surveys—that some reorientation and priorities need to be established. The following funding considerations are to be made in respect of the sample surveys. While two sample surveys are programmed for each year, the following adjustments are proposed.
(a) Surveys to be given high priority are those on topics for which no data have been collected within the last five or more years (i.e., labour force survey/child labour survey, migration survey, income and expenditure survey), and new surveys (an integrated business survey, informal sector and distributive trade surveys). It is expected that five or six out of the ten proposed surveys would need to be conducted to ensure that much of the statistics needed are indeed compiled by the NSS.
(b) The other four surveys are to be programmed, but will be conducted when funds are available. Funding for these surveys, such as the trade surveys, labour market/employment surveys, will be raised jointly by GSS and the responsible MDA. Already there is interest from the Ministry of Manpower, Youth and Employment to develop a proposal for submission to Danida. Similar initiatives will be undertaken with other MDAs. For all such fund raising, the focus and timing of the surveys will be guided by the schedule established within the framework of the GSDP.
51
Box 8.1: Rationalised budget
1. Initial Cost
ACTIVITY Amount (US$)
Total 9,008,295
1 Review of legal framework 79,600
2 ICT Infrastructure 6,303,590
3 Statistical Infrastructure 2,625,105
2. Recurrent Cost
Total 17,794,785
1 Creating Awareness/sensitisation 3,874,350
2 Advocacy and Lobbying for resources 107,256
3 Coordination and collaboration 5,023,138
4 Recruitment and Training 5,200,600
5 Monitoring and Evaluation 42,210
6 Meetings 108,900
7 Dissemination 1,210,991
8 Improve organizational structure & Mgt system 2,227,340
3. Cost of Statistical Inquiries
Total 94,174,912
1 Censuses 62,114,89162,114,89162,114,89162,114,891
2010 Population and Housing Census 48,491,526
Agricultural Census 13,623,352
2 Sample Surveys 32,060,021
4. Investment Cost
Total 910,000
1. Upgrading Physical Infrastructure 910,000
52
References
ECA (1992): Plan of Action for Statistical Development in Africa in 1990s, Addis Ababa.
ECA et al (2006): The reference Regional Strategic Framework for Statistical capacity Building in
Africa (Paris 21): Better Statistics for Improved Development Outcomes; ECA, Addis Ababa,
Ethiopia.
FAO of the UN (1998): Ghana: Agricultural Services Sub-Sector Investment Programme Food and
Agricultural Statistics Component; Preparation Report No. 98/056 CP-GHA: Investment Centre
Division, FAO/World Bank Cooperative Programme, Rome
FAO of the UN (1999), National Statistical User / Producer Workshop for the Agricultural Sector:
Report of a National Workshop, held in Accra, 7-8 October, Regional Office for Africa.
Ghana Statistical Service (2006): Report on the Review workshop of the Annual Working Plans of
GSS and Development Partners, Greenland Hotel, Swedru, 10-12 August.
(2005): Building of a National Statistical system: Assessing the Situation; A draft
report, Accra
Government of Gold Coast (1951): The Laws of the Gold Coast: Statistics CAP 251; Government
Printer, Accra.
Gupta, S.P. (1993): Statistical Methods; Sultan Chand & Sons Publishers, New Delhi Hodgkinson,
P.W. (2006): Ghana Statistical Service: Towards a Strategic Plan; GSS, Accra
Hodgkinson, P.W. (August 2005): Strengthening the Capacity of the Ghana Statistical Service in the
Production and Dissemination of Statistics and Indicators for Programming and Monitoring: A
Proposal for National Statistical Development
Kiregyera, B. (2006a): “PowerPoint” presentation at a Workshop on National Strategy for the
Development of Statistics, Ghana Statistical Service, Accra. 13 September. 2006
Kiregyera, B. (2006b): National Strategy for the Development of Statistics (GSDP): Rationale and
Approach; Ghana Statistical Service, Accra.
National Development Planning Commission (2007): Implementation of the Growth and Poverty
Reduction Strategy 2006-2009: 2006 Annual Progress Report.
Republic of Ghana (1961): The Statistics Act 37; Government Printer, Accra.
Republic of Ghana (1985): Statistical Service Law: P.N.D.C.L. 135; Ghana Publishing Corporation,
Accra.
53
Republic of Ghana (1992), Constitution of the Republic of Ghana; Ghana Publishing Corporation,
Accra
Republic of Ghana (1975), Ghana 1975: An Official Handbook; Ghana Ministry of Information,
Accra. (pp 102-107)
Republic of Ghana (1976), Ghana ’76: An Official Handbook; Ghana Information Services
Department, Accra. (pp 62-66)
Republic of Kenya (2003): Strategic Plan for National Statistical System 2003/4-2007/8; Prepared
by Central Bureau of Statistics, Ministry of Planning and National Development, Nairobi.
Republic of Uganda (2006): Plan for National statistical Development; Uganda Bureau of Statistics,
Kampala
Scott, Christopher (2005): Measuring Up to the Measurement Problem: The role of statistics in
evidence-based policy-making.
His Majesty Stationery Office (1938): Report of the Commission on the Marketing of West Africa
Cocoa
United Nations (2003): Handbook of Statistical Organisation: The Operation and Organisation of a
Statistical Agency (Third Edition); ST/ESA/STAT/SER.F/88, Statistics Division, Dept of Economic and
Social Affairs, New York.
56
Annexes
57
Table A1: United Nations Fundamental Principles of Official Statistics
Principle 1. Relevance, Impartiality, and Equal Access (Statistics as a public good)
Official statistics provide an indispensable element in the information system of a democratic
society, serving the Government, the economy and the public with data about the economic,
demographic, social and environmental situation. To this end, official statistics that meet the test
of practical utility are to be compiled and made available on an impartial basis by official statistical
agencies to honor citizens' entitlement to public information.
Principle 2. Professional Standards and Ethics
To retain trust in official statistics, the statistical agencies need to decide according to strictly
professional considerations, including scientific principles and professional ethics, on the methods
and procedures for the collection, processing, storage and presentation of statistical data.
Principle 3. Accountability and Transparency
To facilitate a correct interpretation of the data, the statistical agencies are to present information
according to scientific standards on the sources, methods and procedures of the statistics.
Principle 4. Prevention of misuse
The statistical agencies are entitled to comment on erroneous interpretation and misuse of
statistics.
Principle 5. Cost-effectiveness
Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or
administrative records. Statistical agencies are to choose the source with regard to quality,
timeliness, costs and the burden on respondents.
Principle 6. Confidentiality
Individual data collected by statistical agencies for statistical compilation, whether they refer to
natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes.
Principle 7. Legislation
The laws, regulations and measures under which the statistical systems operate are to be made
public.
Principle 8. National Coordination
Coordination among statistical agencies within countries is essential to achieve consistency and
efficiency in the statistical system.
Principle 9. International Standards (comparability)
The use by statistical agencies in each country of international concepts, classifications and
methods promotes the consistency and efficiency of statistical systems at all official levels.
Principle 10. International cooperation
Bilateral and multilateral cooperation in statistics contributes to the improvement of systems of
official statistics in all countries.
58
Table A2: Categories of Institutions for the NACPUS
A Economic/Financial
1 Ministry of Finance & Economic Planning
2 Ministry of Manpower, Youth & Employment.
3 Bank of Ghana
4 Controller and Acc-General's Dept.
5 Internal Revenue Service
6 VAT Service
7 Ghana Stock Exchange
8 National Insurance Commission
B Health & Population
9 Ministry of Health
10 Ministry of Women & Children's Affairs
11 Births and Deaths Registry
12 Ghana Health Service
13 National Council on Women & Dev.
14 Department of Social Welfare
15 Plan Parenthood Association of Ghana
16 School of Public Health
17 National Population Council
18 National AIDS/STD Control Unit
19 Ghana AIDS Commission
20 Ghana National Commission on Children
C Education
21 Ministry of Education, Science & Sport
22 Ghana Education Service
23 National Council for Tertiary Education
24 Ghana Association of Private Schools
25 Private Universities and other Institutions
D Agriculture, Natural Resources & Environment
26 Ministry of Food & Agriculture
27 Environmental Protection Agency
28 Ministry of Energy/Energy Commission
29 Meteorological Service Department
30 Department of Geography and Resource Development
31 Forestry Service Division
32 Animal Health and Production Department
33 Water Resources Commission
34 Cocoa Board (COCOBOD)
E Trade and Industry
35 Ministry of Trade, Industry, Private Sector & President’s Special Initiative
36 Ministry of Land, Forestry and Mines
59
37 Customs Excise and Preventive Service
38 Ghana Investment Promotion Centre
39 Registrar-General's Department
40 Ghana Export Promotion Council
41 Ghana Ports and Harbours Authority
42 Ghana Nat. Chamber of Comm. & Indus.
43 Minerals Commission
44 Timber Exports Development Board
F Technology, Transport & Information and Communication Technology
45 Ministry of Communication
46 Ministry of Ports & Railways
47 Ministry of Transportation
48 Vehicle Examination and Licensing Department
49 Ministry of Information & National Orientation
50 Department of Feeder Roads
51 Airlines/Ministry of Aviation
G Services and Utilities
52 Ghana Statistical Service
53 Ministry of Tourism & Diaspora Relations
54 Ministry of Water Resources, Works and Housing
55 Social Security and National Insurance Trust
56 Electricity Company of Ghana
57 Ghana Immigration Service
58 Judicial Service
59 Ghana Police Service
60 Ghana Prison Service
61 Ghana Tourism Development Corporation
62 Ghana Telecom
63 Ghana Water Company
64 Land Valuation Board
65 Lands Department
66 Comm. Water & Sanitation Agency
67 Survey Department
68 Tema Oil Refinery
69 Town & Country Planning Department
70 Volta River Authority
71 Ghana Real Estates Development Agency
72 Ghana Civil Aviation Authority
73 National Media Commission
74 Trades Union Congress
75 Ghana Private Road Transport Union
H Governance/Planning
76 Ministry of Local Government, Rural Development & Environment
77 Ministry for Parliamentary Affairs
78 Ministry of Foreign Affairs, Regional Integration & NEPAD
79 Ministry of Defense
80 Ministry of the Interior
81 National Development Planning Commission (NDPC)
60
82 Office of the President (Chief of Staff)
83 National Electoral Commission
I Research Institutions
84 Institute of Statistics Social and Economic Research (ISSER)
85 Institute of Economic Affairs (IEA)
86 Regional Institute for Population Studies (RIPS)
87 Centre for Economic Policy Analysis (CEPA)
88 Centre for Social Policy Studies (CSPS)
89 Gender Development Institute (GDI)
61
Table A3: Statistical Production: Types of Statistics and Data Sources
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administrative Sample
Survey
Census
1. Population
and housing
GSS Population distribution by locality
(region, district, community), age,
gender, ethnicity, marital status,
religion, education, occupation
X
Housing: Stock of houses,
households, type of dwelling, main
material for constructing walls,
roof and floor, tenure, ownership.
X X
Housing Facility: Source of drinking
water, lighting, cooking fuel,
bathing and toilet
X X
2.Vital
occurrences
and mobility
GSS/ Birth and
Death Registry
Births, deaths, cause of deaths X
Registrar
General,
District
Assemblies
Marriages, divorces
X X X
3. Immigration
& emigration
GSS/GIS/Tourist
Board
Tourism: Number of hotels, rooms
and beds; Licensed travel and tour
operators; Summary of licensed
accommodation establishments;
International tourists arrivals and
receipts;
X X X
4. External
trade
MOTI/ GEPC/
MOFA/GSS
External trade value of imports
and exports; Type, value and
volume of livestock species and
poultry imported and by country
of origin; Origin, value and volume
of meat imports; Value of Imports,
exports and trade balance;
Imports by broad economic
classification; Imports by standard
international trade classification;
Exports of selected non-traditional
commodities; Imports from major
trading partners; Exports to major
trading partners
X
62
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administrative. Sample
Survey
Census
5. Primary and
secondary
production
GSS Estimated rate of capacity
utilisation of manufacturing
industries; Index numbers of
manufacturing production;
production of selected important
manufactured commodities;
Electricity generation; production
of water; Petroleum products:
deliveries for inland consumption;
X X X
6. Agriculture,
livestock,
Horti-culture
and allied
industries
MOFA/GSS Volume, area cultivated and
average yield of major food crops,
Land use, vegetation, soils and
climate, farm population, livestock
population, meat imports, fertilizer
imports and prices, certified seed,
area and volume, imports of other
agro-chemicals and prices,
wholesale and retail food prices,
cocoa exports
X X
7. Forestry MLFM Forestry inventory, Forest reserves,
Concession allocation/exploitation,
Forest Management, Log
Production, Tree species, Tree
diameter/girth X X
Concession, Quality/grade/Volume
of log, Log, prices, Shippers,
destination, Vessel and port of
shipment, Currency and payment,
End use product
8. Fisheries MOF Marine fish production by source
and type; Inland fish catch;
Number of vessel in operations;
Cold storage facilities; Fish stock in
cold stores; Fish exports and
imports; National fish requirement
and consumption; Number of fish
ponds and farmers;
X X
63
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administrative Sample
survey
Census
9. Factories,
mines and
productive
industries
generally
GSS,
Mines
Department,
Minerals
Commission
Gold production; Diamond
production; Bauxite and
manganese production; Index
numbers of mineral production;
Distribution of establishments and
persons engaged and by legal
organisation; Distribution of
establishments by size, skill
workers, ownership,
X X X
10.
Employment &
Unemployment
MMYE/GSS Type of activity, economically
active and not active population,
occupation, Type of industry,
employment status, employment
sector, Recorded employment in
establishments irrespective of size,
Persons engaged by region in
manufacturing; mining and
quarrying, electricity and water,
size and industry major division /
class/ type of legal organisation,
level of skills, type of ownership
X X X
11. Salaries,
wages,
bonuses, fees,
allowances and
any other
payments
and honoraria
for services
rendered
MMYE/GSS Wages and salaries in industrial
establishments;
X X X
12. Income,
earnings,
profits and
Interests
GSS Average monthly earnings per
employee in establishments
irrespective of size, X X X
13. Outputs,
stocks, sale and
deliveries
and details
relating to
services
provided
GSS Changes in stocks of industrial
establishments by industrial
groups;
X
64
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administrative Sample
survey
Census
14. Orders,
work in
progress,
outgoings and
costs including
works given
out to
contractors
and details
of capital
expenditure
GSS Number of orders by
establishment, Number of
contracts awarded, contract sum,
Number of contracts executed
X X
15. Receipt
outstanding,
fixed capital
assets and
plant
(including the
acquisition and
disposal of
those
assets and
plant)
GSS Capital formation, depreciation
X X
16. Social,
educational,
labour and
industrial
matters,
including
associations of
employers,
employees and
other persons
generally
MMYE/MOESS/
GSS/
Educational institutions/by region;
Enrolment in primary schools,
junior secondary schools, senior
secondary schools, polytechnics,
universities; by Faculty, gender
and level of study; Enrolment in
specialised institutions; Teachers –
primary schools, JSS, SSS,
polytechnics and universities;
X
17. Industrial
disturbances
and disputes
MMYE Number of labour disputes
X
18. Banking,
insurance, and
finance
Generally
BOG/GSS Cheque clearing and debits to
current accounts of commercial
banks; Money and quasi-money
supply; Assets and liabilities of
commercial banks; Number of
commercial banks’ branches;
Assets and liabilities of commercial
and secondary banks; Loans and
advances of commercial and
secondary banks; Interest rates;
Exchange rates; Central
government accounts; summary of
central government finances;
Economic classification of revenue;
Total recurrent and development
X
65
expenditure – functional
classification; income and
expenditure tax
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administrative Sample
survey
Census
19.
Commercial
and
professional
Undertakings
GSS/IRS Number of commercial and
professional undertakings including
consultancies X
20. Distributive
trades
GSS Domestic trade turnover (value
added); Number of establishment
by wholesale and retail trade / by
type of organisation and
ownership; Number of persons
engaged by sector (CPC / ISIC);
Total value of sales by sector; Total
value of purchases by sector; value
of other expenditures;
X X
21. Health MOH/GSS Health facilities by type and region;
Population per bed by region;
medical and paramedical personnel
in public service; Doctor to
population ratio (public sector);
Nurse to population ratio (public
sector); Prevalence of diseases
(malaria, tuberculosis, etc).; Guinea
worm cases reported by region;
Immunisation by region; Supervised
deliveries by region, Nutritional
status of children; Number of beds
in public health facilities;
X X
22. Transport
and
communication
and all
forms by land,
water or air
MOC/MPHR/
MOR / MOA
GSS
Cargo unloaded and loaded at
seaports; Cargo unloaded and
loaded at seaports by type; Ship
calls by type; Air traffic –
International arrivals/ departures;
Airline passenger distribution by
origin and destination; Railway
freight traffic by principal
commodities; Railway Corp.
revenue and expenditure; Ghana
Ports Authority revenue and
expenditure; New registration of
x x
66
motor vehicles; Distribution of
telephone lines by type of service
and provider; Radio and television
stations; Daily and weekly
newspapers circulating in Ghana;
Scheduled
Area of
Statistical
Production
(PNDCL 135)
GSS/MDA
Involved
Major Statistics Produced
Data Source
Administration Sample
survey
Census
23. Wholesale
and retail
prices of
commodities,
rents and cost
of living
GSS/MOFA National wholesale prices for
selected food commodities;
Producer prices of cocoa; Prices of
selected agricultural inputs; World
prices of Ghanaian exportable
commodities; Consumer Price
Index numbers (CPI), Producer
Price Index (PPI); Exchange rate of
Cedi to selected major currencies;
average retail prices of selected
important commodities in Accra
city, London spot prices of cocoa,
Wholesale price index numbers,
Index numbers of unit cost of
exports and imports,
X
24. Injuries,
accidents and
Compensation
MMYE, Police
MTTU
Number of accidents, injuries,
deaths, workman compensation X
25. Land
tenure,
occupation and
use of Land
MOFA/MLFM Proportion of households with
tenure X
26. Local
government
MLGRD X
67
Table A4: Statistics Required to Monitor Developmental Programmes and Projects
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
1.GPRS
Private Sector
Competiveness
Ease of doing business rank Ease of doing business
rank
Adminis
trative
GIPC
Private fixed investment (as
percentage GDP)
Private fixed
investment (as
percentage GDP)
Composite Index of Economic
Activities (CIEA)
Composite Index of
Economic Activities
(CIEA)
BoG
Number of days to register a
Limited Liability company
Number of days to
register a Limited
Liability company
GIPC,
Registrar
General
Dept.
Private fixed investment (as
% GDP)
The number of days to
resolve commercial disputes
The number of days to
resolve commercial
disputes
Modernisation of
Agriculture
Change in yield of selected
traditional crops and
productivity of livestock
Total number of
livestock
Adminis
trative,
survey
MOFA
Percentage of cultivated
lands under irrigation
Percentage of
cultivated lands
under irrigation
MOFA
Total fish production (mt):-
marine, inland capture
fisheries, harvesting of ponds
Number of
registered agro-
processing and
agro-business
enterprises and
micro-enterprises
Restoration of
degraded
environment and
improvement in
natural resource
management
Cost of environmental
degradation as a ratio to GDP
Adminis
trative
MLFM
Rate of deforestation Area of
deforestation
Percentage change on
resource spent for Corporate
social Responsibility,
including alternative
livelihood programmes
Resources spent
for Corporate
Social
Responsibility
including
alternative
livelihood
programmes
68
69
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
Development of
transport
infrastructure (road,
rail, water and air)
Total funds disbursed for
routine maintenance,
reconstruction relative to
needs of each modal work:-
road transport, rail & water,
air
Total funds
disbursed to rail
and maritime sub-
sectors (rail,
maritime)
Adminis
trative
MPHR
Improvement in
energy supply to
industry and
households
Per capita consumption of
energy per annum (in tones
of Oil Equivalent)
Energy per annum (in
tones of Oil Equivalent)
Adminis
trative
MOE
Average number of hours of
electricity outage per
consumer per year
Number of hours
of electricity
outage per
consumer per year
Percentage of households
covered by electricity supply
Households covered by
electricity supply
Promotion of science
and technology
Percentage change in
Research and Development
expenditure (Public)
Research and
Development
expenditure
(Public)
Adminis
trative
MOESS
Promotion of ICT Teledensity/penetration
rate:- fixed line, mobile
Internet access:-
subscribers,
providers, number
of school with
internet access
MOC, NCA
Internet access:- subscribers,
providers, number of school
with internet access
Development of
tourism for revenue
and employment
generation
Number of people arriving,
by country of origin
Number of people
arriving, by country of
origin
Adminis
trative
MOTDR,
GIS, Tourist
Board
Number of people leaving by
country of destination
Number of people
leaving by country of
destination
Length of stay Length of stay
Type of accommodation Type of accommodation
Increased
employment
generation and the
improvement and
expansion of social
safety nets
Number of labour Disputes
Number of labour
Disputes
Adminis
trative
MMYE
70
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
The number of new jobs
created by sector
The number of new jobs
created by sector
The number of
new jobs created
quarterly by sector
Social Protection Exp. As
percentage of GDP
Social Protection
Exp. As percentage
of GDP
Human Resource
Development
Gross enrolment ratio Gross enrolment ratio Adminis
trative
MOESS
Net enrolment ratio Net enrolment ratio
Gender parity index Gender parity index
Proportion of students
passing national assessment
examinations
Number of students
passing national
assessment
examinations
Percentage of trained
teachers
Percentage of trained
Proportion of the youth
benefiting from
skills/entrepreneurial training
Number of youth
benefiting from
skills/entrepreneurial
training
MMYE
Vaccination coverage Vaccination coverage MOH
Population-doctor ratio MOH
Population –nurse ratio MOH
HIV prevalence among
women
HIV prevalence among
women
MOH, GAC,
GSS
Malaria case fatality in
children under five years
Malaria case fatality in
children under five
years
MOH
Number of registered
members under NHIS
Number of registered
members under NHIS
NHIS
Number of people covered
under NHIS
Adminis
trative
NHIS
Amount collected under NHIS
NHIS
Amount disbursed under
NHIS
NHIS
Number of beneficiaries
under NHIS
NHIS
Good Governance
and Civic
Responsibility
Percentage increase in
budgetary allocation to
parliament
Budgetary allocation to
parliament
MOPA,
MOFEP
71
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
Percentage of all courts
computerised
Number of courts
computerised
MOJ
Amount allocated to NCCE as
proportion of Sector
expenditure
Budgetary allocation to
NCCE
NCCE
Corruption Perception Index
MOJ, MOI
Reduction in rate of small
arms acquisition
Number of small
arms acquired
Adminis
trative
Reduction or decline in cases
of worst forms of child
labour, child trafficking and
child abuse
Number of cases of
worst forms of child
labour, child trafficking
and child abuse
Adminis
trative
MMYE, Dept
of Social
Welfare
Rate in decline in armed
robberies, rape and murder
Number of armed
robberies, rape and
murder
Adminis
trative
MOI, Police
Persons admitted in Prison
Centres
Number of Persons
admitted in Prison
Centres
Adminis
trative
MOI, Prisons
Service
Persons received in prison
centres by type of offence
Persons received in
prison centres by type
of offence
Adminis
trative
MOI, Prisons
Service
Number of capacity building
programmes on business
ethics
Number of
capacity building
programmes on
business ethics
Adminis
trative
GIPC
Corporate Governance score
cards
Corporate
Governance score
cards
Adminis
trative
GIPC
2. Millennium
Development Goals
i) Eradication of
extreme poverty and
hunger
Proportion below national
poverty line
Poverty rates / trends Annual data on
household
incomes and
expenditure
Surveys GSS
Poverty gap ratio
Surveys GSS
Underweight children below
five years of age
Underweight
prevalence, stunting,
wasting,
Adminis
trative,
survey
MOH, GSS
72
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
ii) Achieving
universal primary
education
Net Enrolment ratio of
children in primary school
MOESS
Primary school completion
rate
Net girls and boys
primary school
attendance rate
Ratio of girls to boys in
primary, secondary and
tertiary school;
Gender parity index
primary & secondary
Adminis
trative
MOESS
Enrolment of boys and
girls in institutions of
learning, primary to
tertiary
Ratio of literate women to
men 15-24 years old
Literacy of population
15 years and above by
gender
iii) Promoting gender
equality and
empower women
Share of women in wage
employment in non-agric.
Sector
Proportion of working-
age population
currently working by
gender
Proportion of seats held by
women in National
Parliament, District
Assemblies, Ministerial
Appointments, Chief
Directors and Directors,
Heads of Public Institutions.
iv) Reducing child
mortality
Under five mortality rate Under 5 mortality rate
per 1,000 live births
Adminis
trative,
survey
MOH, GSS
Proportion of 1 year old
children immunised against
measles, etc.
Immunisation of
children: Polio, DPT,
MMR, Anti-biotic
treatment against
suspected pneumonia;
Under 5s sleeping under
insecticides treated
nets, mosquito nets,
anti-malarial treatment,
Iodized salt
consumption
Adminis
trative,
survey
MOH, GSS
73
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
v) Improving
maternal health
Maternal mortality ratio Maternal mortality
ratio
Adminis
trative,
survey
MOH, GSS
Proportion of births attended
by skilled health personnel.
Skilled attendants at
delivery
Adminis
trative,
survey
MOH, GSS
Institutional deliveries Adminis
trative,
survey
MOH, GSS
Contraceptive
prevalence
Adminis
trative,
survey
MOH, GSS
vi) Combating
HIV/AIDS, malaria
and other diseases
HIV prevalence among 15-24
year old pregnant women
Comprehensive
knowledge about HIV
prevention among
women and men aged
15-24 years
Adminis
trative,
survey
MOH, GAC,
GSS
Condom use rate Condom use with non-
regular partners among
men and women aged
15-24 years
Adminis
trative
MOH, GAC,
GSS
Percentage of population
aged 15-24 years with
comprehensive knowledge of
HIV/AIDS
Higher risk sex in the
last year among men
and women aged 15-24
years
Ratio of school attendance of
orphans to school
attendance of non-orphans
aged 10-14 years
School attendance of
orphans versus non-
orphans
Adminis
trative
MOESS
74
Focus of
Development
Development Indicators Statistics Available Statistics required
but not available
Data
Source
Institution
responsible
vii) Ensuring
environmental
sustainability
Proportion of land area
under forest;
Land area covered
by forest
MLFM
Use of improved
drinking water sources
MWH,
GWCL
Use of improved
sanitation facilities
MLGRD
Ratio of area protected to
maintain biological diversity
to surface area
Area protected to
maintain biological
diversity to surface
area
MLFM
Proportion of population
using solid fuels
Population using solid
fuels
MOE
Proportion of population
with suitable access to an
improved water Source
urban and rural
Population with suitable
access to an improved
water Source urban and
rural
Adminis
trative,
survey
MWH,
GWCL, GSS
Proportion of urban / rural
population with access to
improved sanitation
Urban / rural population
with access to improved
sanitation
MLGRD
Proportion of households
with access to secure tenure.
Households with
access to secure
tenure
MOFA
viii) Developing a
global partnership
for development
Access to new
technologies,
especially
information and
communication
Telephone lines and cellular
subscribers per 100
population
Telephone lines and
cellular subscribers per
100 population
Adminis
trative,
survey
MOC, NCA,
GSS
Personal computers in use
per 100 population
Number of
personal
computers in use
per 100 population
Adminis
trative,
survey
Internet users per 100
population
Internet users per
100 population
75
Table A5: Capacity Building Requirements of the National Statistical System
Table A5.1: Resources Required
Activities Number/Qty 2009 2010 2011 2012 2013
1.Human
Resources
Development
Staff
Recruitment
(i) Professional
staff
200 110 40 30 20 -
(ii) Sub-
professional Staff
(HND Stats)
200 110 40 30 20 -
(iii) Administrative
(iv) Secretariat - - - - - -
Training - - - - - -
(i) Induction
courses
(ii) Study tours 400 220 80 60 40 -
(iii) Staff exchange 20 4 4 4 4 4
iv) Diploma 30 6 6 6 6 6
v) Bachelor
degrees
30
6
6
6
6
6
vi) M.A./MSc
25 5 5 5 5 5
vii) PhD 20 4 4 4 4 4
viii) Short
courses
3 - 1 1 1 -
50 10 10 10 10 10
Total 578
2.Physical
Infrastructure
i) GSS Head
Office
ii) Regional
Offices (GSS)
iii) MDA
Statistical Units
76
Activities Number/Qty 2009 2010 2011 2012 2013
3.ICT 1 Birth &
Death Head
Office
a.
Infrastructure
i) Installation of
LAN at GSS
1 1
ii) Installation of
WAN at GSS
1 1
iii)
Installation of LAN
at Regional Offices
1 1
4.Transport
Vehicles
Motor bikes
Bicycles
Table A5.2 Training Programme for GSS Staff
Training to be received
Courses No. of
beneficiaries
Duration
(weeks)
Location Type of training
Ghana External Short Long
Statistical methods 300 10 300 - 300 -
Survey
methodology &
Sampling design
60 10 56 4 58 2
Computer
applications for
statistical work
300 36 290 10 297 3
Organisational
management
65 8 50 15 65 -
Geographical
Information
Systems (GIS)
12 6 12 - 12 -
Report writing 65 10 50 15 65 -
Presentational skills 65 10 50 15 65 -
Software acquisition
and training (in MIS)
15 10 13 2 15 -
Total 882
77
Table A5.3 Training of MDAs
Courses
Training to deliver
No. of
beneficiaries
Duration
(weeks)
Location Type of training
Ghana External Short Long
Statistical methods 40 10 40 - 40 -
Survey methodology - - - - - -
Computer
applications for
statistical work
40 10 40 - 40 -
Organisational
management
- - - - - -
Geographical
Information
Systems (GIS)
10 10 10 - 10 -
Report writing - - - - - -
Presentational skills - - - - - -
Software acquisition
and training (in MIS)
- - - - - -
Total 90
78
Table A6: Gaps in Statistics produced to Monitor Development Programmes
Growth and Poverty Reduction Strategy
Area of focus Indicators not available
Source MDA
responsible
Private Sector Development Private fixed investment as percentage of
GDP Administrati
ve MOFEP
Modernised agriculture Percentage of cultivated lands under
irrigation Survey MOFA
Percentage increase in agro-processing
and agro-business enterprises and micro-
enterprises registration Survey MOFA
Inland fish capture Administrati
ve, Survey MOF
Environment and natural resource
Management
Percentage change in resource spent for
Corporate Social Responsibility including
alternative livelihood programmes Administrati
ve, Survey MLFM
Rate of deforestation Administrati
ve, Survey MLFM
Hectares of degraded forest, mining, dry
and wet lands rehabilitated/restored due
to mining activities Administrati
ve MLFM
Carbon dioxide emissions (per capita)
and consumption of ozone-depleting
CFCs (ODP tons)
Administrative MLGRD, EPA
Proportion of population with
sustainable access to an improved water
source, urban and rural
Administrative,
Survey MLGRD
Proportion of urban and rural population
with access to improved sanitation
Administrati
ve, Survey MLGRD, EPA
Human resource development
Proportion of the youth benefiting from
skills/entrepreneurial training Administrative,
Survey MMYE
Maternal mortality ratio Survey GSS, MOH
Science and technology productivity
and development
Percentage change in research and
development expenditure (public) Administrative MOESS,
MOFEP
79
Area of focus Indicators not available
Source MDA
responsible
Employment Generation and
Expansion of Social Safety Net
Number of labour disputes
Administrative MMYE
Social protection expenditure as
percentage of GDP Administrative MMYE, GSS
Transport Infrastructure (Rail, water) Total funds disbursed for routine
maintenance relative to investment
needs
Administrative MPHR, MOT
ICT Number of schools with internet access Administrative MOESS
Public safety and security
Rate of small arms acquisition Administrative MoI, Police
Rate of decline in cases of worst forms of
child labour, child trafficking and child
abuse
Administrative,
Survey MMYE, GSS
Corporate governance Number of capacity building programmes
on business ethics Survey MOPS, PEF,
AGI, GSS
Corporate Governance Score Cards Survey
Source for GPRS: NDPC, Implementation of the GPRS 2006-2009: 2006 Annual Progress Report
National Accounts Aggregates
Area of focus Indicators not available Source
MDA
responsible
GDP Quarterly GDP Survey GSS
Detailed breakdown of GDP at the
supply-side
Administrative,
Survey GSS
Detailed breakdown of household
expenditure Survey GSS
MDGs
Maternal health Maternal mortality ratio Survey
GSS,
MOH
Environment Proportion of land area covered by forest Administrative MLFM
Ratio of area protected to maintain
biological diversity to surface area Admin. MLFM
Proportion of households with access to
secure tenure Administrative,
Survey
MLFM,
MOFA,
GSS
Carbon dioxide emissions (per capita)
and consumption of ozone-depleting
CFCs (ODP tons)
Administrative MLGRD,
EPA
Proportion of population with
sustainable access to an improved water
source, urban and rural
Administrative,
Survey MLGRD
Proportion of urban and rural population
with access to improved sanitation
Administrative,
Survey
MLGRD,
EPA
80
Table A7: Censuses and Surveys Programme 2009-2013
Th
em
ati
c A
rea
s
Sta
tist
ics
an
d
Ind
ica
tors
to
b
e
Pro
du
ced
Po
pu
lati
on
&
Ho
usi
ng
C
en
sus
20
10
A
gri
cult
ura
l
Ce
nsu
s 2
01
1
IBE
S 2
00
9-2
01
3
GLS
S 2
01
1
CW
IQ 2
01
3
DH
S 2
01
3
HIE
S 2
01
1-2
01
3
PP
S 2
00
9-2
01
3
CP
I/IC
P
20
09
-
20
13
Ge
nd
er
Sta
tist
ics
Stu
die
s
(Tim
e
Use
Su
rve
y )
20
09
Economics 1. National accounts
estimates
X X X X X X X
2. CPI and inflation
rates
X X X
3. Government
Income and Expenditure
4. BOP
5. Interest rates
6. Domestic
investment
X X
7. Foreign Aid
Statistics
X
8. Microfinance
statistics
X X X
9. Trade statistics X X X X
10. Remittances X X X X
11. Capacity utilization X
12. Poverty Statistics X X X X X X
13. Prime Building Cost
Index
14. Foreign Tourist
Arrivals and Departures
X X
Industry and
Trade
1. Value /Volume of
Imports and Exports
2. Distributive Trade
statistics
X X
3. Input-output of
Industry
X
4. Employment in
Industry
X X X X X X
5. Producer Price Index X
Social and
Demography
1. Net and Gross
Enrolment rates
X X X
2. Literacy rates X X X
81
Social and
Demography
Sta
tist
ics
an
d
Ind
ica
tors
to
b
e
Pro
du
ced
Po
pu
lati
on
&
Ho
usi
ng
C
en
sus
20
10
A
gri
cult
ura
l C
en
sus
20
11
IBE
S 2
00
9-2
01
3
GLS
S 2
01
1
CW
IQ 2
01
3
DH
S 2
01
3
HIE
S 2
01
1-2
01
3
PP
S 2
00
9-2
01
3
CP
I/IC
P 2
00
9-2
01
3
Ge
nd
er
S
tati
stic
s
Stu
die
s (
Tim
e U
se
Su
rve
y )
20
09
3. Pupil-Teacher ratio X X X
4. Pupil-Classroom
ratio
X X
5. Category of teachers
statistics
X X X
6. Ratio of girls to boys
at all levels
X X X
7. Employment and
Unemployment rates
X X X X
8. Economic Activity
rates
X X X X
9. Child Labour X X X X X X
10. Infant mortality rate X X
11. Child mortality rate X X
12. Maternal mortality
rate
X X
13. Proportion of births
attended by skilled health
personnel
X X
14. Life Expectancy X X X
15. Diseases Prevalence X X
16. Rates of HIV/AIDS
infection
X X
17. Incidence of Malaria X X
18. Migration statistics X X X X X
19. Population
projections & Estimates
X X
82
Social and
Demography
Sta
tist
ics
an
d
Ind
ica
tors
to
b
e
Pro
du
ced
Po
pu
lati
on
&
Ho
usi
ng
C
en
sus
20
10
A
gri
cult
ura
l C
en
sus
20
11
IBE
S 2
00
9-2
01
3
GLS
S 2
01
1
CW
IQ 2
01
3
DH
S 2
01
3
HIE
S 2
01
1-2
01
3
PP
S 2
00
9-2
01
3
CP
I/IC
P 2
00
9-2
01
3
Ge
nd
er
S
tati
stic
s
Stu
die
s
(Tim
e
Use
Su
rve
y )
20
09
20. HIV/AIDS prevalence X X X X
21. Malaria prevalence X X
22. Proportion of
population using
insecticide treated
mosquito nets
X X
23. Proportion of
tuberculosis cases
detected and cured under
directly observed
treatment short course
(DOTS)
X X
24. Proportion of
underweight children
under five years of age
X X X
25. Proportion of under
five immunized
X X
26. Cultural Statistics
Agriculture and
Environment
1. Area under
cultivation and yield
X
2. Proportion of land
area covered by forest
X
3. Proportion of
population using solid fuels
X X X X X
4. Proportion of
population using improved
water source
X X X X X
5. Proportion of
population with access to
improved sanitation
X X X X
6. Access to electricity X X X X X
7. Access to health
facilities
X X X X X X
8. Proportion of Land
Area Degraded by Surface
Mining
X
83
Agriculture and
Environment
Sta
tist
ics
an
d
Ind
ica
tors
to
b
e
Pro
du
ced
Po
pu
lati
on
& H
ou
sin
g
Ce
nsu
s 2
01
0
Ag
ricu
ltu
ral
Ce
nsu
s
20
11
IBE
S 2
00
9-2
01
3
GLS
S 2
01
1
CW
IQ 2
01
3
DH
S 2
01
3
HIE
S 2
01
1-2
01
3
PP
S 2
00
9-2
01
3
CP
I/IC
P 2
00
9-2
01
3
Ge
nd
er
S
tati
stic
s
Stu
die
s
(Tim
e
Use
Su
rve
y )
20
09
9. Proportion of
Population Living in Slums
X X X X X
10. Arable land X
11. Yield per acre X X
12. Number of Livestock
by Type
X X
13. Fish Catch X X
Infrastructure 1. Housing statistics X X X X X
2. Transportation and
road statistics
X X X X
3. ICT Indicators X X X X X X
84
Table A8: Time Schedule for Plan Implementation
Strategic Objective Activity 2009 2010 2011 2012 2013
1. To create awareness of
the importance of statistics
i) Organising Statistical literacy
ii) TV and Radio discussions
iii) Articles in local newspapers;
iv) African Statistics Day nationwide celebration
v) Formation of Statistical Society of Ghana
2. To develop MDAs
statistics units
i) Assessing MDAs statistical capacity and needs
ii) Advocacy and lobbying MDAs to provide:
a) physical and statistical infrastructure
b) Recruit and train statisticians, and
c) Provide adequate and timely funding for statistical
work
iii) Designing mechanism for GSS technical back-up activity
3. To improve stakeholders
participation in statistical
production through
effective collaboration and
networking
i) Form general stakeholders’ association
ii) Organise bi-annual association meetings to discuss
emerging issues, concerns, problems, etc.;
iii) Produce newsletter to share information related to
statistical production.
4. To upgrade periodically
knowledge, skills and
competence of statisticians
i) Organise on-the-job training workshops on specific
topics and developments in computer, software, survey
methodologies.
ii) Identify short training courses
iii) Identify sponsorships
85
Strategic Objective Activity Year 1 Year 2 Year 3 Year 4 Year 5
2009 2010 2011 2012 2013
5. To promote resource
mobilization and effective use
of scarce resources for
statistical production
i) Identify new source of funding
ii) Designing strategies for advocacy and lobbying for
funds
6. To improve the effectiveness
of statistical laws
i) Review PNDCL 135;
ii) Draft a new Statistics Law establishing an NSS and
its functions; an NSO and its pivotal role;
iii) Get Attorney General’s Office to present Bill to
Parliament;
iv) Advocate and lobby Government and Parliament
to amend section 9 (c) to include 10-year cycle of
organising population and agriculture censuses
v) Advocate and lobby Government and Parliament to
amend sections 17 (2) and 21 (h) to make the
monetary penalty realistic.
7. To improve statistical
infrastructure ,production and
services in order to enhance
quality
i) Train MDAs Statisticians on survey methodologies,
standardised codes, classifications and data
management etc.;
ii) Train field staff
iii) Sensitise data suppliers to provide accurate and
timely data;
iv) compile business registers
v) update the national master household sampling
frame
vi) update and maintain digitised EA maps
8. To promote the use of
common concepts, standards,
classification that are in line
with international acceptance
and improve consistency in
official statistics
i) Compile internationally accepted concepts,
definitions, classifications, etc.;
ii) Organise workshops to discuss and agree on
standards, definitions, classifications, etc.
86
Strategic Objective
Activity
2009
2010
2011
2012
2013
9. To improve timeliness in the release of
statistics
i) Build capacity of Statisticians to expedite processing of
data
ii) Encourage administrative data suppliers to provide
data on time
10. To improve relevance/
appropriateness of statistics
i) Conduct user needs and satisfaction study
ii) Produce statistics disaggregated to appropriate levels
11. To improve data analysis and
interpretation
Recruit and build capacity of staff in data analysis and
interpretation
i) To carry out census and survey programme
12. To improve data production and
dissemination of statistics and share
information with the general public on
statistics production
ii) Design and implement statistics dissemination and
access policy
iii) Design statistics dissemination and access programme
iv) Produce brochure and update twice a year
13. To remove gaps in statistical data i) Sensitise institutional data suppliers to supply data
and on time
14. To establish GSS offices in the
remaining administrative districts and
provide adequate office space and
essential office gadgets for MDA
statistics units
i) Secure office space
ii) Provide infrastructure
iii) recruit and train statisticians for the districts
iv) Sensitise District Assemblies and other institutions in
the districts of GSS presence;
v) Advocacy for District Assemblies cooperation,
collaboration, etc. and support
15. To improve ICT infrastructure, access
to data, storage and archiving of
information
i) Review situation of MDAs’ databanks
ii) Hire consultant to review situation and advise
iii) Lobby MDAs to implement advice of consultant
iv) Procure computers, statistical software, internet
87
v) Set up LAN and WAN in the MDAs
86
Table A9: Log-Frame for the Strategic Plan for Statistical Development
Outputs Activities Verifiable
Indictors
Means of
Verification
Important
Assumptions
SO 1: To create awareness of the importance of statistics
i) Increased use of
statistics in decision
making
i) Organise statistical literacy
training workshops in all
regions
i) Number of TV /
Radio broadcasts;
i) TV / Radio
broadcasts
i)
Appreciation
of statistics
ii) Organise TV and Radio
discussions to sensitise the
general public;
ii) Number of
articles in
newspapers;
ii) Newspapers ii) Availability
of funds
ii) MDAs statistical
units receive
adequate support
for statistical work
iii) Produce and publish
articles in local newspapers;
iii) Africa Statistics
Day celebrated;
iii) Report on Africa
Statistics Day
celebration
iii) Fear of
statistics
iv) Celebrate Africa Statistics
Day and GSS statistics week
nationwide
iv) Number of
Advocacy /
lobbying carried
out
iv) GSDP Newsletter
v) Design and implement
strategies for advocacy and
lobbying MDAs, Parliament,
Government, NGOs, and
International organisations for
support for statistical work.
SO 2: To develop MDAs statistical units
i) Capacity of MDAs
to produce statistics
improved
(infrastructure, staff,
operation budget,
etc.)
i) Assess MDA statistical
capacity and needs
i) MDA statistical
capacity and needs
assessed
Capacity and needs
assessment report
i) Attitude of
MDAs
towards
statistics
ii) GSS providing
technical back-stop
for MDAs statistical
production
ii) Advocate and lobby MDAs
to provide infrastructure,
recruit and train statisticians,
ii) Number of
statisticians
recruited / trained,
and
Annual reports of
MDAs
ii) Capacity
of GSS to
provide
technical
back-stop
iii) Provide adequate and
timely funding for statistical
work
iii) Operational
funds provided on
time.
GSDP Newsletter
iv) Design mechanism for GSS
to provide technical back-stop
for MDA statistical units
iv) Number of
technical back-stop
activities carried
out
87
Outputs Activities Verifiable
Indictors
Means of
Verification
Important Assumptions
SO 3: To improve stakeholders participation in statistical production through effective collaboration and networking
i) Stakeholders
Commitment
improved
through
coordination,
collaboration,
cooperation,
information
sharing
(communication)
and feedback
mechanisms
i) organise NACPUS/SSWGs
meetings
i)
NACPUS/SSWGs
strengthened
Minutes of
meetings
Financial support to
hold meetings and
publish newsletter
ii) Communication
system Improved
ii)Organise biennial
association meetings to
discuss emerging issues,
concerns, problems, etc.
ii) Number of
biennial
meetings held
iii)Feedback
enhanced
iii)Produce newsletter to
share information related to
statistical production
iii) Newsletter Newsletter
SO 4: To improve and/or upgrade the knowledge, skills and competence of MDA Statisticians on a periodic basis.
i) Knowledge,
skills and
competence of
Statisticians
upgraded
i) Organise on-the-job
training workshops on specific
topics and developments in
computer, software, survey
methodologies, etc
i) Number of training
workshops
i)Training
workshop
reports
Availability of
funds
ii) Identify short training
courses,
ii)Training institutions
identified
iii) Identify sponsorships iii) sponsorships identified
SO 5: To promote resource mobilisation and effective use of scarce resources for statistical production
i) Duplication in
statistical
production
reduced
i) Identify new source of
funding
Mechanism to pull
resources together for
effective and efficient
use
Report on
mechanism
Willingness of
Statisticians to pull
resources together
ii) Resources are
pooled in
planning
statistical
activities
ii) Designing strategies for
advocacy and lobbying for
funds
88
Outputs Activities Verifiable Indictors Means of
Verification
Important
Assumptions
SO 6: To improve the effectiveness of statistical laws
ii) Draft a new Statistics Law
establishing an NSS and its
functions; an NSO and its
pivotal role;
iii) Get Attorney General’s
Office to present Bill to
Parliament;
iv) Advocate and lobby
Government and Parliament
to amend section 9 (c) to
include 10-year cycle of
organising population and
agriculture censuses
v) Advocate and lobby
Government and Parliament
to amend sections 17 (2) and
21 (h) to make the monetary
penalty realistic.
SO 7: To improve statistical infrastructure, production and services in order to enhance statistical quality
i) credible
sampling frames
in place;
(Enumeration
Areas and
business
registers)
i) compile business registers,
update the national sample
frame
i) business register built;
Master Sample Frame
developed
SO 8: To promote the use of common concepts, standards, and classification that are in line with international
acceptance and improve consistency in official statistics
i) Uniformity in
the application
of concepts,
definitions,
classifications,
survey
methods, etc.
achieved
i) Compile internationally accepted
concepts, definitions,
classifications, etc.;
i) Manual of
statistical
concepts,
definitions,
classifications,
etc.
Availability of
funds to carry out
the activities.
ii) Consistency
in statistics
achieved
ii) Organise workshops to discuss
and agree on standards,
definitions, classifications, etc.
ii) Number of
workshops
ii) Workshop
reports
89
Outputs Activities Verifiable
Indictors
Means of
Verification
Important
Assumptions
SO 9: To improve timeliness in the release of statistics
Statistics
produced and
released on
time
i) Build capacity of Statisticians to
expedite processing of data
Reduced time
required to process
data
Reduced time
between time
of survey /
census
conducted and
release of
results
Availability of
funds to build
capacity
ii) Build capacity of administrative
data suppliers to provide data on
time
Number of
statisticians trained
/ training
workshops
conducted
ii)Accurate and
timely data
supplied
SO 10: To improve relevance and/or appropriateness of statistics
i) Relevance /
appropriateness
of statistics
improved
i) Conduct user needs and
satisfaction study
i) User statistics
needs and
satisfaction
identified and
estimated
i) Study report Funding to
conduct study
ii) Produce statistics disaggregated
to appropriate levels
ii) Disaggregated
statistics
ii) Statistics
output
SO 11: To improve data analysis and interpretation
Data analysis
and
interpretation
enhanced
Recruit and build capacity of staff
in data analysis and interpretation
i) Number of staff
recruited
i) Staff at post Availability of
funds
ii) data analysis
training workshops
ii) Workshop
reports
SO 12: To improve data production and dissemination of statistics and share information with the general public on
statistics production
i) census and
survey
programmes
carried out
i) to carry out census and survey programme
i) censuses and surveys carried out
i) number of censuses and surveys carried out
i) Availability of funds
ii) Statistics
dissemination
policy and
programme
designed
i) Design and implement statistics
dissemination and access policy
i)Statistics
dissemination and
access policy
ii)Statistics
dissemination
and access
policy
document
i)Willingness of
MDAs to accept
policy and
programme
ii) Design statistics dissemination
and access programme
ii) Statistics
dissemination and
access programme
Programme of
statistics
dissemination
and access
90
Outputs Activities Verifiable Indictors Means of
Verification
Important
Assumptions
iii) The general
public made
aware of types
of statistics
available, MDAs
producing
them,
dissemination
channels, and
how to access
the statistics.
iii) Produce brochure and update
twice a year
Number of
brochures
Brochure Availability of
funds
SO 13: To minimise gaps in statistical data
Gaps in
statistical data
removed.
i) Sensitise institutional data
suppliers to supply data and on
time
No gaps in time
series data
Time series
data
Willingness of
institutional data
suppliers to
cooperate
SO 14: To establish GSS offices in the remaining administrative districts and provide adequate office space and
essential office equipment for MDA statistics units
ii) GSS provided
technical back-
stop to District
Assemblies
ii) Provide infrastructure ii)Infrastructure
provided (office
space, computers,
statistical software,
internet, etc);
ii) District
Assemblies’
reports
iii) recruit and train statisticians
for the districts
iii) Presence of GSS
known to District
Assemblies and
others;
iv) Sensitise District Assemblies
and other institutions in the
districts of GSS presence;
iv) District
Assemblies support
statistical activities
v) Advocacy for District Assemblies
cooperation, collaboration, etc.
and support
SO 15: To improve ICT infrastructure, access to data, storage and archiving of information
MDA databanks
developed
networked and
linked to a
central
databank at
GSS (CRD)
i) Review situation of MDAs’
databanks
MDA databanks
developed
networked and
linked to a central
databank at GSS
(CRD)
ii) Hire consultant to review
situation and advise
iii) Lobby MDAs to implement
advice of consultant
iv) Procure computers, statistical
software, internet etc.
v) Set up LAN and WAN in the
MDAs
91
Table A10: Situation Analysis of MDA Statistical Units
1.Ministry of Education Science and Sports
2. Ministry of Health Situation Ministry of Education,
Science and Sports
Ministry of Health
1.Ministry Components Education, Science, Sports Health
2.Name of Statistical Unit EMIS- (Education,
Management, Information
System)
Research and Statistics Unit (part of
Research Statistics and Information
Management Directorate)
3. Statistical Unit
separate/joint
Joint- (Part of Statistics,
Research, Information
Management & Public
Relations (SRIMPR))
Joint
4.Designation of Unit Head Coordinator (reports directly
to Chief Director)
Deputy Director
5.Other units of Ministry
producing statistics
Planning, Budgeting,
Monitoring & Evaluation
Division (PBME)
i) Human Resource Unit,
ii) Procurement and Supply Unit
6. Organisational Set-up
(Statistical Unit only)
i) Office space Two Rooms(5 in all for EMIS) One room shared with personnel officer and
GHS Staff
ii) Computers Three (3) Three (3)
iii) Software Excel, Access, SPSS,
EDUSTAT
Excel, SPSS, Access
iv) Internet Yes Yes
v) Databank Yes Nil
vi) No. of vehicles Three Nil
vii) Website Yes Nil
7. Staff (Statisticians)
i) Number Three Two
ii) Academic qualifications BSc, Diploma PHD, HND
iii) On-the-job training Three Nil
iv) Short courses NA
v) Areas of skills
/competence
NA Excel, SPSS, Access
8. Major statistical data
produced
i) Data Collection Techniques i) Inpatient/outpatient data
ii) Data analysis ii) Health Facilities (Number of Hospitals,
Clinics, Beds etc.
92
Situation
Ministry of Education,
Science and Sports
Ministry of Health
iii) Training Skills. iii) Doctor/Population ratio
i) No of schools/Institutions iv) Nurse/ Population ratio
ii) Enrolment v) Occurrence of Diseases (HIV, TB, Guinea
Worm, Polio etc.
iii) Teachers
iv) Pedagogical Tools (Text
books etc)
v) Infrastructure (Classroom
blocks, workshops,
dormitories, laboratories
vi) Indicators/Indexes
9. Sources of raw data Administrative Administrative
10. Methods of
dissemination
Publications, Print-outs,
Website
Publications, Internet, Print-outs and annual
reports
11. Operational budget:
separate/joint
Joint with EMIS / SRIMPR Joint with Directorate
3. Ministry of Food and Agriculture Situation Ministry of Food and Agriculture
1.Ministry Components Crops, Livestock
2.Name of Statistical Unit Statistics, Research and Information Directorate (SRID)
3. Statistical Unit separate/joint Separate Directorate
4.Designation of Unit Head Director
5.Other units of Ministry producing
statistics
i) Policy Planning, Monitoring and Evaluation Division (Livestock
Planning and information Unit)
ii) Veterinary Services Directorate
iii) Crop Service Directorate
6. Organisational Set-up (Statistical
Unit only)
i) Office space Ten rooms
ii) Computers Fifteen
iii) Software Excel, SPSS, Access
iv) Internet Yes
v) Databank Nil
vi) No. of vehicles Three
93
vii) Official Email Address Nil
Situation Ministry of Food and Agriculture
7. Staff (Statisticians)
i) Number Nineteen
ii) Academic qualifications HND, Bsc, Msc
iii) On-the-job training Nineteen
iv) Short Courses Nil
v) Areas of skills / competencies Poor in data management, data analysis and data interpretation
8. Major statistical data produced i) Area, yield & output of selected food crops
ii) Weekly/Monthly market prices
iii) local prices
iv) Crop production cost and returns
v) Livestock Populations
vi) Meat imports volume/ value and country of origin
vii) Production of certified planting materials
viii) Livestock imports
9. Sources of raw data Administrative, Surveys, Sample Census
10. Methods of dissemination Publication, Print-outs, Radio Broadcast
11. Operational budget:
separate/joint
Joint
94
4. Ministry of Women and Children Affairs
5. Ministry of Trade, Industry Private Sector Development & President Special Initiative
Situation Ministry of Women and
Children Affairs
Ministry of Trade, Industry Private Sector
Development & President Special Initiative
1. Ministry Components Women, Children Trade, Industry, Private Sector Development
and Presidential Special Initiative
2. Name of Statistical Unit Research Statistical and
Information Management
Division
Research Information and Statistics Division
3. Statistical Unit
Separate/ joint)
Separate Joint
4. Designation of Unit
Head
Director Deputy Chief Commercial Officer
5. Other units of Ministry i) Business Support Unit, Nil
producing statistics ii) Policy Planning Monitoring
and Evaluation Division
(PPMED)
6. Organisational Set-up
(Statistical Unit only)
i) Office space (Rooms) Four Four
ii) Computers Five Twelve
iii) Software Excel, SPSS, Access, Excel,
iv) Internet Yes Yes
v) Databank Nil Yes
vi) No. of vehicles Nil Nil
vii) Official Email Address Nil Nil
7. Staff (Statisticians)
i) Number Seven Nine
ii) Academic qualifications Diploma, BA, MPhil Dipolma, Bsc
iii) On-the-job training Nil Yes
iv) Short Courses Nil Nil
v) Areas of skills
/competence
Limited skills in research
techniques and data analysis
Computer Literacy
95
Situation Ministry of Women and
Children Affairs
Ministry of Trade, Industry Private Sector
Development & President Special Initiative
8. Major statistical data
produced
i) Eminent Women in Ghana Import and Export data
ii) Orphanage facilities
iii) Mapping of Early Childhood
development centers,
HIV/AIDs, CSOs in Ghana
iv) Aid Effectiveness on
Gender equity
v) Use of Children for
Commercial sex activities
vi) Children in surface mining
in the Western and Ashanti
regions
vii) Ghana’s Mid-Term Review
on children
viii) Women in Public Life in
Ghana
ix) Children in fishing in Kiodi-
Kupe in Asuogyaman District
9. Sources of raw data Administrative, Secondary
data, Surveys
GC Net Database
10. Methods of
dissemination
Publications, Electronic Files,
Website, Data bases
Publications, Print-outs, Electronic Files
11. Operational budget:
separate/joint
Joint Joint
96
6. Ministry of Manpower Youth and Employment
7. Ministry of communication
Situation Ministry of Manpower Youth
and Employment
Ministry of Communication
1. Ministry Components Manpower, Youth,
Employment
Communications, meteorology, Kofi Annan
ICT Centre
2. Name of Statistical Unit Research Statistics and
Information Management
(RSIM)
Research Statistics and Information
management Directorate (RSIMD)
3.Statistical Unit
separate/joint
Joint Separate
4. Designation of Unit
Head
Director Director
5. Other units of Ministry
producing statistics
PPMED, Human Resource,
Finance and Administration
PPMED, Human Resource, Finance and
Administration
6. Organisational Set-up
(Statistical Unit only)
i) Office space One room Three
ii) Computers One Four
iii) Software Nil Nil
iv) Internet Nil Yes
v) Databank Nil Nil
vi) Number of vehicles One Nil
vii) Official Email Address
7. Staff (Statisticians)
i) Number Nil One
ii) Academic
qualifications
BSc
iii) On-the-job training Three
iv) Short Courses
v) Areas of
skills/competence
BA Statistics
8. Major statistical data
produced
Number of telephone subscription, number
of internet service providers, number of
internet subscription, weather forecasts
9. Sources of raw data Administrative Administrative
10. Methods of
dissemination
Reports Reports, brochures, media, MOC
website
11. Operational budget:
separate/joint
Joint Joint
97
8. Ministry of Lands, Forestry and Mines Situation Ministry of Lands, Forestry and Mines
1. Ministry Components Lands, Forestry and Mines
2. Name of Statistical Unit Research, Statistics & Information Management
3. Statistical Unit separate/joint Separate
4. Designation of Unit Head Director
5. Other units of Ministry producing statistics Forestry Commission, lands Commission & Minerals
Commission
6. Organisational Set-up (Statistical Unit only)
i) Office space
One
ii) Computers One
iii) Software MS Word, Access, Publisher PowerPoint
iv) Internet Yes
v) Databank Yes
vi) Number of vehicles One
vii) Official Email Address
Yes
7. Staff (Statisticians)
i) Number
Three
ii) Academic qualifications One MSc; Two BA
iii) On-the-job training None
iv) Short Courses None
v) Areas of skills/competence Statistics & Economics
8. Major statistical data produced Technical Bulletins of FC, LC, MC (Annual log production
statistics; Monthly Statement of royalties from all sectors)
9. Sources of raw data Administrative
10. Methods of dissemination Written Reports
11. Operational budget (Separate/ Joint) Joint
98
9. Ministry of Local Government and Rural Development (Births and Deaths Registry)
10. Ghana Statistical Service
Situation Births and Deaths Registry Ghana Statistical Service
1. Ministry Components Local Government, Parks and Gardens,
community Development, Town and Country
Planning, Environmental Protection Agency,
Environmental Health, Births and Deaths
Registry.
GSS
2. Name of Statistical Unit Births and Deaths Registry GSS
3. Statistical Unit
separate/joint
Joint with Records and Computer Section Separate
4. Designation of Unit
Head
Sectional Head Government Statistician
5. Other units of
Ministry producing
statistics
6. Organisational Set-up
(Statistical Unit only)
i) Office space One Room Several
ii) Computers Two Several
iii) Software Excel, Access SPSS, IMPS, CSPro, SAS,
iv) Internet Nil Yes
v) Databank Being Developed GhanaInfo, IMIS, ADP
vi) Number of vehicles Nil Several
vii) Official Email Address Nil [email protected]
7. Staff (Statisticians)
i) Number Four Two hundred and one
ii) Academic
qualifications
MSc, BA/Dip, HND Two MSc ( ), BA ( ), HND ( )
iii) On-the-job training Data Compilation and Analysis
iv) Short Courses Nil
8. Major statistical data
produced (information
recorded)
Number of Registered Births and Deaths by
Sex and Age; Age of Mother, Place of
Occurrence, District and Region
demographic statistics,
economic statistics, social
statistics
9. Sources of raw data Births & Deaths Registration Admin, surveys, census
10. Methods of
dissemination
Publication Publications, press
release, CD ROM, newsletters
11. Operational budget
(separate/joint)
Joint Separate
99
Table A11: Statistical Units of Selected MDAs
1. Ministry of Communication
Strength Weakness Opportunity Threat
i) Adequate equipment i) Inadequate staffing: i) External demands –
MDAs, NGOs, International
organisations.
i) Donor funds not
timely to carry out
activities
ii) Well established
network system-
infrastructure with
Internet access, messaging
and collaboration
ii) Few staff with
requisite Skills and
Competence
ii) Fast expansion of
communications requiring
new and updating of data
ii) Quick turnover of staff
iii) MOC Website iii) Inadequate office
space
iv) Inadequate
financial resources for
statistical activities
v) Poor Management
Information System
vi) Poor coordination
between
Directorates/MDAs
100
2. Ministry of Manpower Youth and Employment
Strength Weakness Opportunity Threat
(i) Existence of a
directorate
(i) Inadequate staffing (i) Increase demands for
data on labour market
information on :Trades and
vocation, OVC,V&E
(i) Existence of other
data producing
organisation on labour
market information
(ii) Elaborate support
system of Department and
Agencies
(ii) Lack of ICT facilities (ii) Increased collaboration
with social partners, GEA,
MDAs, GSS, MMDAs
(ii) Inability to attract
and retain qualified staff
(iii) Availability of data (iii) Weak linkage
with Departments and
Agencies as sources of
data
(iii) Increased collation with
International organisations.
ILO, AU commission on
labour, World Bank, UNICEF,
Danida
(iii) Unauthentic data
information arising from
outsiders due to the
directories inability to
meet public demands
(iv) Regular annual
budgetary allocation
(iv) Policy framework
is weak
(iv) Donor support and
funding
(iv) Unfavorable policy
decision.
(v) Poor data sharing
and dissemination
system
(vi) Ineffective
coordination,
monitoring and
evaluation by
directorate
(vii) Delay in
submission of returns
(viii) Perception
about the directorate
101
3. Ministry of Food and Agriculture
Strength Weakness Opportunity Threat
i. A pool of academically
qualified staff willing to work
i. Data produced are not
reliable and do not meet
priority data requirement
i. New and improved
technologies for data collection,
processing and Analysis
i. Budgetary
constraints of
GOG/DONORS
affecting data
collection
ii. Adequate
computer and ICT facilities
available
ii. Field staff is
poorly equipped and lack
transportation,
supervision and adequate
operational funds
ii. Developing partners
continue support for statistical
production
ii.
Difficulty in
attracting
qualified
statistician and
retain due to low
motivation, poor
remuneration,
and high demand
in the private
sector for
Statistical and
data processing
staff
iii. staff willing to
learn and enhance skills and
capacity
iii. Weak
coordination of activities
of SRID and other
directorates producing
statistics
iii. Low co-
operation from
respondents
(farmers,
fisherman) and
private sector
organisation
iv. Trained field
enumerators to carry out
questionnaire administration
iv. Weak capacity
of SRID and MOFA
directorates to process
and disseminate data.
v. Low strength
of field staff to collect
data according to agreed
time table
vi. Not taking
advantage of improved
and modern technologies
for data collection,
processing and
dissemination
vii. Poor
cooperation and
collaboration between
MOFA and District
Assemblies to collect field
data
102
4. Ministry of Education Science and Sports
Strength Weakness Opportunity Threat
(i) Trained staff in all the
desirable areas
(i) Difficulty in accessing
funds on time
(i) Local and international
training of staff
(i) High rate of
trained District
staff
(ii) Production of yearbooks
(electronic copies) and instant
print-out of required
data/information
(ii) Lack of full control(in
terms of
modification)over the
current multi-year
Application
(ii) Membership of statistics
related committees outside
sector
(ii) Non-availability
of funds for data
collection at the
District Level by
end of EMIS Project
(iii) Availability of funds from
World Bank for the currently
running EMIS PROJECT
(iii) No routine servicing
of ICT equipment
(iv) Untimely
dissemination of reports
(Hard Copies).
5. Ministry of Trade, Industry, Private Sector Development & President Special Initiative Strength Weakness Opportunity Threat
(i) Internet access (i) Inadequate qualified
and experience
statistician
(i) Access to massive
data/information (GCNet)
(i) High attrition
rate of qualified
and experienced
statisticians.
(ii) Sufficient number of
computers
(ii) Inadequate qualified
and experienced IT
(ii) Inadequate
budgetary support
from government
(iii) Good office space and
working environment
(iii) Lack of funds for
staff recruitment and
training
(iv) Existence of Statistics
Unit
(iv) Breakdown of
computers and internet
facility
(v) Inadequate
transport facility
103
6. Ministry of Women and Children Affair
Strength Weakness Opportunity Threat
i) Designation of MOWAC as
one of the eight CMA to
provide policy direction and
coordination on gender
issues
(i) No statistician (i) SIP (i) Conflict
of roles and
responsibilities
between MDAs
with women and
children focus
(ii) Weak structures
for statistical activities
especially at the
districts
(ii) Decentralised into the
regions
(ii) Conflict
of interest
between some
children and
women CSOs
(iii) Lack of office
accommodation
(iii) EI(6) establishing the
Ministry
(iv) Lack of funds and
logistics
(iv) Designation of MOWAC
as one of the CMA to
provide policy direction and
coordination on gender
issues
(v) Low priority to
develop statistical unit.
(v) Favourable political
climate on gender and
children issues
7. Ministry of Lands, Forestry and Mines
Strength Weakness Opportunity Threat
(i) Strong leadership (i) Inadequate
staff
(i) Public interest in the
sector
(i)Fragmentation
of agencies
dealing with the
environmental
issues e.g. EPA
(ii) Availability of
equipment at the Ministry
(Headquarters)
(ii) High staff
turnover
(ii) The willingness of other
agencies to collaborate with
the Directorate
(ii) Non
enforcement of
law
(iii) The capacity of the
Ministry to come out with
publications
(iii) Inadequate
financing
(iii) Government
commitment in the
Directorate
(iii) Non
cooperation of
agencies
supplying data
(iv) Strong commitment of
staff
(iv) Delay in the
submission of
administrative data.
(iv) The presence of the
GSDP
(iv) Constant
change of name
of the Ministry
(v) Competition
from the NGOs
and private
sector.
104
8. Ministry of Local Government and Rural Development (Birth and Death Registry)
Strength Weakness Opportunity Threat
(i) Mandate
deprived from
legislation.(Births and
Birth Registration
law,1965,(Act 301)
(i)
Inadequate staff
(i)
Increasing public
awareness about
importance of registration
documents
i) Inability to
attract and
retain highly
qualified staff
(ii)
Presence in all 10 regions
and all 138 districts in
Ghana
(ii)
Ineffective
monitoring and
supervision
(ii)
Increased collaboration
with stakeholders
including the District
Assemblies, Ghana Health
Service, UNICEF, Plan
Ghana, UNFPA, and Ghana
Statistical Service.
(iii) Stock of
information on registered
births and deaths dating
back to 1912
(iii)
Inability to publish
timely reports
(iii)
Enforcing the demand of
registration by documents
by agencies like the
Passport Office, Ghana
Education Service, SSNIT,
DVLA, the Electoral
Commission, the Banks
etc….
(iv)
Absence of required
logistics and
equipment(office
accommodation,
vehicles etc)
(iv) Linking
births and deaths
registration to the
National Identification
Programme.
(v)
Low staff morale and
high attrition rate
105
9. Ministry of Health
Strength Weakness Opportunity Threat
i) A system in place to
capture administrative
data
i) Inadequate human
resource
i) Large number of health
partners interested in
data management
i) Donor-driven
programmes
and projects
given
precedence
over those of
the Ministry of
Health
ii) Vast availability of
data
ii) Unit not
established formal
links to sources of
information outside
the health sector
ii) Commitment to
monitor the progress
towards the achievement
of the MDGs therefore
the need to strengthen
the health information
system with assistance
from partners
ii) Lack of
programme
ownership
iii) Improved ICT to
enhance data
management and
dissemination
iii) Weak policy and
legal framework for
health information
system
iii) Opportunity to
integrate resources
iii) Systems
within the
Ministry of
health and
across agencies
do not
communicate
well with each
other
iv) Data
dissemination is
poor
iv) Poor
capacity for
data analysis at
the periphery
v) Poor system for
data sharing
106
10. Ghana Statistical Service Strength Weakness Opportunity Threat
(i) Statistical Service Act 135
(1985),makes it GSS independent and
autonomous
(i) Weak Coordination,
Collaboration & Networking of
the Statistical System
(i) Increased demand for data in
support of evidence-based decision and
policy making in Ghana and outside
Ghana in support of Ghana’s
development agenda
(i) Poor awareness by
policy makers and the
general public about
the importance of
Statistics
(ii) Recognition in the 1992
constitution of Ghana
(ii) Low level of Statistical
Advocacy and Lobbying
(ii) Continuous cooperation and
support from data suppliers
(ii) Lack of
harmonisation and
standardisation of
statistical
methodologies among
official statistics
producers leading to
inconsistencies in
statistical data
produced
(iii) Enthusiastic Management Team
and leadership with Clear vision
(iii) Lack of ICT Strategic
Plan for development
(iii) International framework, like the
UN Official Statistics
(iii) No official guidelines
and principles in data
production and
distribution in the
country
(iv) Offices in all the ten Regions and
60 District Assemblies
(iv) Lack of timeliness in
releasing statistical data
(iv) International partnerships for
statistical development
(iv) Inadequate
Government budget
and untimely release
for statistical activities
(v) Extensive Field infrastructure
including – ICT equipment, office
accommodation etc
(v) Lack of human
resources development policy
(v) Advances in ICT-centralised data
base and improvement dissemination
(v) Lack of commitment,
collaboration and
cooperation users and
producers
(vi) Has it own Head Office
accommodation
(vi) Lack of dissemination
and publicity policy
(vi) Training facilities at the country’s
universities and research institutions
(vi) Difficulty in
filling top management
slots
(vii) Sole authorship of Enumeration
Maps (EAs)
(vii) No monitoring and
evaluation strategies for
programmes and projects
(vii) Availability of donor funds to
support capacity development of GSS
(vii) Rapid
Technological changes
(viii) Staff with technical skills in
different areas of Statistical operations
(viii) Lack of Analytical
Capability
(viii) Constitution of Ghana recognises
GSS as a legitimate central data
producing and dissemination body for
official statistics
(viii) Inadequate
funds for routine
surveys
(ix) Collective Bargain Agreement
for Workers – which spells out the
working conditions of workers of GSS
(ix) Poor Remuneration
&Conditions of Service
(ix) Over
dependence on Donor
Funds
(x) Weak organisational Culture-
There is no guided ethical
principle of statistical activities
(x)High attrition of
professional staff
(xi) Administrative bureaucracy
(xii) Inadequate funds for
routine surveys
(xiii) Over dependence of
piece meal donor funding
(xiv) Staff progression not
based on merit, rather based on
number of years served.
107
Table A12: Log frame of strategic plans of sector statistical development
1. Ministry of Local Government and Rural Development (Births and Deaths Registry)
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
I) To Build capacity
of registry to
improve the vital
registration
machinery
a) Improved
Service delivery
a) Recruit qualified
staff for all 138
district offices
a) Number of
district registrars
appointed
a) List of recruited
officers/monitoring
visits
a) Clearance to
recruit given by
OHCS/MOFEP
b) Skills of
existing staff
upgraded
b) Establish
registration offices in
362 new
communities
b) Number of new
offices established
b) Monthly
Statistical Returns
from new
registries/
monitoring visits
b) Funds provided
c) Additional
qualified
personnel
employed
c) Train and equip
2000 community
registration
Volunteers
c) List of
volunteers/training
sessions conducted
c) Reports on
training sessions
c) Availability of
funds
d) Train existing 334
staff in research
methodology,
statistics,
demography and
management skills
d) Number of
training sessions
held
d) Staff list
showing
qualifications
d) Funding secured
II) To computerise
the registration
system to facilitate
capture processing,
storage and
retrieval of
information
a) Installation of
server, printers and
LAN at headquarters
a) Equipment
provided installed
a) Monitoring visits
a) To eliminate
multiple
registrations and
minimise
fraudulent
registrations
a) Creation of
database
b) Install computers
and scanners at all
regional/district
registration offices
b) Communication
between Head
Quarters and other
offices
b) Efficient
management
and processing
of data
c) Link all
registration offices
nationwide through
WAN
c) Communication
between Birth and
Death Registry and
various agencies
b) Accessing
information on
website
c) Reduction in
document and
data processing
time
d) Interfacing with
other stakeholders
(GSS, NIA,SSNIT etc)
d) Hosting of
websites
d) issuing
computer
generated
certificates with
enhanced
power security
features
e) Creation of Birth
and Death Registry
website
e) Effective
dissemination of
information
108
109
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
III) To create
awareness about
the Births and
Deaths registration
in order to improve
on the low level of
births and deaths
registration
a) A well
informed public
on vital
registration
issues
Public sensitisation
through
a) Number of
programmes held
,advertisement
schedule
b) Births and
Deaths
registration
improved from
54% for births
and 23% for
deaths to 95%
and above
a) media interactions
and adverts
b) Number of
communities
sensitised
b) Durbar reports,
pictures, follow up
interviews.
Programme
reports, pictures
c) Population
registers at
community
level to
facilitate data
capture
b) Community
durbars
c) number of
communities
covered, itinerary
c)Monitoring visits,
baseline and post
programme
surveys
c) Mobile
registration sessions
d) Number of
communities
operating
population
registers
d) Operationalising
community
population registers
IV) To put in place
policies
a) Policy on
resource
allocation
a) Design policy on
resource allocation
a) Number of
offices set up
a) Monitoring visits
a) To ensure
adequate resources
to the registry
b) To facilitate
operations in the
districts and
communities
b) Vehicle
provided for
headquarters
and regional
offices
b) Procure 4 vehicles
headquarters,10
vehicles for regional
offices, 138
motorbikes for
district offices and
2000 bicycles for
community
volunteers
b) Number of
vehicles procured
b) Asset Register
c) Effective
monitoring and
supervision
c) Motorbikes
provided for
district offices,
bicycles for
community
volunteers
c) Number of
motorbikes and
bicycles procured
c) Asset register
110
2. MINISTRY OF COMMUNICATIONS
Strategic Objective Output Activity Verifiable
Indicators
Means of
verification
Important
Assumption
1) To ensure
effective
coordination and
collaboration with
MDAs/Divisions
within the Ministry
Harmonious
working
relationship
established
Review current
situation
Report produced Cooperation from
MDAs/Division
Arrange meetings
and sensitise them
on areas of
collaboration
Implement the
agreed decisions
Meetings between
MDAs/Divisions
Number of
meetings
organised
Collective
resolution of
problems
Monitoring reports
produced
2) To develop
effective
management
information system
Effective
information
management
system in place
Develop TOR for
consultant
TOR developed Funding
Engage a consultant
to design MIS
Consultant
engaged and
system designed
Procure equipment Basic equipment
procured
Funding
Train Staff Staff trained
Install the new
system
System operational
3) To provide
requisite training
for staff of the
RSIMD
Staff at various
positions
trained
Conduct TNA of staff TNA conducted TNA report
Prioritise the training
needs of the RSIM
staff
Training needs
prioritised
Develop a training
programme
Training
programme
developed
Seek funding to
undertake training
Implement the
training programme
Staff trained in
various functional
areas
4) To ensure basic
logistics/equipment
for RSIMD
Basic logistics/
equipment in
place
Assess the
logistics/equipment
needs of the Division
Take inventory of
existing logistics/
equipment
Inventory list
available
Prioritise budget and
acquire new
logistics/equipment
Basic equipment
secured
5) To conduct
surveys to collect
statistical data on
the Telecom/ICT
Industry
Accurate
Statistical data
in place
Design/test
questionnaire for
data collection
Questionnaire
developed
Collect, collate and
analyse data
Interpret data for
effective decision
making
Data collected and
analysed
111
3. MINISTRY OF MANPOWER YOUTH AND EMPLOYMENT
Strategic Objective Output Activity Verifiable
indicator
Means of
verification
Important
Assumption
1) Establish
procedures for
coordination and
collaboration of
statistical activities
within MMYE
Coordination
and
collaboration
mechanism
established
Create awareness Guideline for
collaboration
Reports Recognition and
commitment from
Departments and
Agencies
Establish procedures
Organise regular
meetings
Reports of
meetings
2) Improved human
resource capacity
for information
management
Capacity of Staff
in RSIMD and
Statistical units
within
Departments
and Agencies
improved
Undertake training
needs assessment of
staff.
Number of training
courses organised
Reports of training
Develop and
implement training
programmes
Recruit staff Number of staff
trained
Adequate budgetary
allocation
New staff with
adequate skills
recruited
Assessment of staff
performance
3) Develop
statistical
infrastructure
Statistical
infrastructure
developed
Procure computers Infrastructure
established
Relevant Technical
reports i.e. labour
market reports,
statistics on OVC,
V&E, PWD
produced
Adequate budgetary
allocation
Procure statistical
software packages
Setup a LAN/WAN
4) Develop and
implement
information
management
system
Improved
information
management
system
Set up Database
Management System
Database
Management
System operational
Quarterly and
annual reports
Commitment of staff
Develop information
dissemination
guidelines
Information
dissemination
guidelines
established
Set up management
information system
MIS Documents on
feedback from
stakeholders
Adequate Budgetary
allocation
112
Strategic Objective Output Activities Verifiable
Indicators
Means of
verification
Important
Assumption
1) Improve
accuracy of
agricultural data
and reliability
Accuracy of
statistical
products and
services
improved
Train statisticians to
upgrade knowledge
of survey
Statisticians
trained in survey
methodology and
procedures
Activity reports Budget to support
training, introduce
new survey
methodologies and
motivate field staff
New survey
methodology
Introduce improved
survey technologies
e.g. Remote Sensing
Techniques
GIS and remote
sensing techniques
in use
Train field staff and
supervisors in data
collection, handling
of questionnaire
and data
management
Design policy to
motivate field staff
and supervisors
Number of
training durbars
organised
Annual
SRID/reports
Educate and
motivate
farmers/respondents
to reduce non
response rates
Policy to motivate
field staff designed
Mechanism to
motivate farmers
designed
Willingness of
farmers to
cooperate
Non response rate
reduced
2) To improve
timeliness in data
collection,
production,
processing and
analysis
Data processed
and analysed on
timely basis
Provide necessary
and adequate
resources for data
collection before
start of agricultural
season
Adequate
resources for field
data collection
provided before
the start of
agricultural season
Report on field
data collection
Provision of
adequate resources
for filed work
Decentralise data
processing to the
districts
Field data
submitted on
schedule
Field data
submission
Train district MIS
and supervisors in
data processing
Data processed at
district level
District report Attitude and
competence of field
staff
Identify and train
SRID professional
staff in improved
statistical software
packages
Number of district
MIS and
Supervisors
trained
Training report
SRID professional
staff trained in
improved
statistical software
Training
report
Availability of
training funds
113
5. MINISTRY OF EDUCATION, SCIENCE AND SPORTS
Strategic
Objectives
Outputs Activities Verifiable
indicators
Means of
verification
Important
Assumption
1) Make available
Management
Information
resources at all
levels
Well equipped
EMIS cells in all
the agencies
and district
offices
Installation of
computers and
accessories in three
Agencies, ten
regional offices and
one hundred and ten
districts
Computer per
officer ratio
Administrative
Records
Timely procurement
of equipment
Installation of EMIS
Application Software
in ten Regional
Offices and one
hundred and ten
districts
Data Utilisation
Workshops for
officials in the
regions and districts
at zonal levels on
2006/07 Report
Training one
hundred and twenty
officers from the
next sixty district in
EMIS
Availability of
relevant software
Installation of
equipment by
suppliers
2. To improve
quality and
timeliness of EMIS
data
Reliable and
timely statistical
data for all of
Education
Training Workshop
on data collection
for Regional and
District Statistics
Officers for
2007/2008
Education Software
Number of training
workshops
Official
Distribution List
Availability of funds
at the right time
Updating EMIS
Application Software
to include Tertiary
level and non-formal
data for 2007/2008
Monitoring of
fieldwork, retrieval
and vetting of
completed
questionnaires for
2007/2008
Education Census
Monitoring of
Census fieldwork
Entering of data for
2007/2008 Census(
both centrally and in
the first sixty sites)
Completion time
of data entry
114
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
Generation of
Tables, Analysis of
Data and writing of
reports for
2007/2008
Education Census
Printing and
dissemination of
2007/2008 census
reports (hard and
soft copies)
Data Utilisation
Workshops for
officials in the
regions and districts.
3)Improve quality
and timeliness of
EMIS DATA
Reliable
statistics reports
for all levels of
Education
Web based
programming and
SQL training for H/Q
staff
User friendly
application
Updating of EMIS
Application Software
for 2008/2009
Education census
data
Number of analyst
trained
Data Analysis
Training for regional
and district
statistical officers
Installation of
computers and
accessories in the
new twenty eight
Districts
Computer per
officer ratio
Data collection
Workshop for
Regional and District
Statistics Officers on
2008/2009
Education Census
Training 56 Officers
from the new twenty
eignt districts in
EMIS Application
Software
Monitoring of field
and retrieval of
completed
questionnaire for
2008/2009
Education Census
Percent of
questionnaires
completed without
error
Entering of
2009/2010
Education census
data in the one
hundred and twenty
district sites
Percentage of
questionnaires
submitted for data
entry
115
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
Printing of reports
and Dissemination
Modifying data
collection
instrument to
capture financial
data at all levels
Organised regional
workshop to discuss
new questionnaire
Monitoring of
fieldwork and
retrieval of
completed
questionnaires for
2009/2010
education Census
Evaluation of
Census Fieldwork
Entering of
2009/2010
Education Census
data at all district
centers
Percentage of
questionnaires
completed without
error
Validation Survey
Data analysis
training to improve
the development of
district education
census reports
Printing and
dissemination of
2009/2010
Education Census
Reports
Quantity of printed
reports ready for
dissemination
4)Enhancing data
reporting on access
quality and
management at all
levels of education
Comprehensive
and well
integrated
education
census reports
for all levels of
education
Completion
time and quality of
data entered
Quality of District
Education
Performance
Reports produced
5) Enhance data
collection and use
through electronic
media
Regional
Intranet
Connectivity
Training regional
statistics officers to
use the internet
Percentage of
intranet versatile
officers in the
regions
Retention of Trained
staff at post
116
117
Strategic Objective
Output
Activity
Verifiable Indicator
Means of
Verification
Important Assumption
Comprehensive
Education
Statistics
Publication for all
levels
Install servers at all
regional offices
Data collection
workshops at regional
centers
Number of regional
offices with servers
installed
Timely procurement of
equipment
Monitoring of field
work and retrieval of
completed
questionnaires for
2010/11 Education
Census
Percentage of
Questionnaires
completed without
error
Supervision of data
entering at all district
centers
Printing and
Dissemination of
2010/11 Education
Census Reports
Data utilisation
Workshops Officials in
the regions and
districts
6) Enhance data
collection and use
through electronic
media
Regional and
District offices
connected to the
internet
Train district statistics
officers to be internet
versatile
Percentage of
internet versatile
officers in the regions
Administrative
information
If credit for the EMIS
Project continues
Install servers at all
district offices
Education
Statistics
publication for all
levels (hard copies
and on CDs)
2010/11 Education
Census Workshop at
regional level
Trained officials still at
post
Monitoring of fieldwork
and retrieval of
completed
questionnaire for
2010/11 Education
Census reports
Percentage of
districts completing
data entering on time
Editing of completed
questionnaires
Supervision of all data
entering at district
centers
Printing and
dissemination of
2010/11 Education
Census reports
Quantity of census
reports/publication
and CDs per district
Data Utilisation
Workshops for officials
in the regions and
districts
118
6. MINISTRY OF WOMEN AND CHILDREN’S AFFAIRS
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
1) To establish a
proper and
functional
statistical division
at the Ministry and
its departments
A well equipped
RSIM Division
established
Provide office
accommodation
Office for the
statistical division
RSIM office Funding Availability
Number of
qualified staff
Recruit requisite
personnel
Number of staff
trained in ICT and
computer software
applications
Personnel
records/files
Technical
backstopping and
support from GSS
Number of logistics
and office
equipment
Train Staff Training reports Goodwill from
Development
Partners
Procure logistics,
office equipments,
etc
Stores receipt
books/ledgers
2) To produce
demand driven
statistics
Statistics
produced met
requirement of
users
Demand driven
statistics
Survey report Funding and logistics
availability
3) To train market
women in ICT tools
and application
Market Women
trained in ICT
tools and
applications
Assess the ICT needs
of the market
women
Number of Market
women trained in
ICT tools and
applications
ICT training report Funding and logistics
availability
Train market women
in ICT and its
application
119
7. MINISTRY OF TRADE, INDUSTRY, PRIVATE SECTOR DEVELOPMENT &PSI
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
1) To improve
quality of statistical
data
Quality of
statistical data
improved
Recruit 3 additional
statisticians
Number of
qualified and
experienced staff
Statistical staff Approval from
MOFEP to pay salary
Ability to retain staff
2) To improve ICT
application
Recruit IT specialist
with expertise in
software and
hardware
Number of IT
specialists
IT staff Approval from
MOFEP
Train existing
statistical and IT staff
in relevant areas
Number of training Reports on training
program
Availability of funds
to pay for training
Attend conferences
on trade & industry
data processing and
ICT
Number of
conferences
Report on
conferences
Availability of funds
to attend conference
3) To improve
international trade
database
International
trade database
improved
Train staff to
upgrade data
capture and analysis
from GCNet
Number of training Report on training Availability of funds
Organise
sensitisation
workshops for
declarant at ports
and entry points
Number of
sensitisation
workshops
Report on
sensitisation
workshop
Availability of funds
Train entry officers Number of training Report on training Availability of funds
Develop mechanism
for capturing trade
data at entry points
not covered by
GCNet
Mechanism for
capturing
Report on
mechanism
Availability of funds
4) To establish a
domestic trade
database
Domestic trade
database
established
Develop a
mechanism for
capturing trade data
Mechanism for
capturing data
Report on
mechanism
Availability of funds
Acquire computers,
faxes, telephones,
photocopiers and
software to capture
data on trade form
the regions
Computers, faxes,
telephones etc.
Purchasing records Availability of funds
Train regional trade
officers and assistant
in data capture and
analysis
Officers with skills
in data capture and
analysis
Report on training
program
Availability of funds
120
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
Organise
sensitisation
workshops for key
domestic traders
(wholesalers,
distributors etc)
Number of
sensitisation
workshops
Report on
sensitisation
workshops
Availability of funds
Organise workshops
with RTIOs to discuss
challenges in
domestic trade data
Number of
workshops
Report on
workshops
Availability of funds
Publish data Number of
publications
Publications Availability of funds
5) To establish
database on firms
& SMEs in strategic
sectors
Industrial data
on firms & SMEs
in strategic
sectors
established
Develop and
implement
mechanism to
capture data at
sector & firm levels
Mechanism for
capturing data
Report on
mechanism
Availability of funds
Train RIS and RTI
officers in
surveys/census
organisation
Number of staff Report on training Cooperation from
industries & SMEs
Organise sensitising
workshops for
industries and SME
in specific sectors
Number of
workshops
Report on
workshop
Availability of funds
Organise workshops
for RIS and RTI
officers on
challenges in
capturing industry
data
Number of
workshops
Report on
workshop
Availability of funds
Publish data Number of
publications
Copies of
publications
Availability of funds
6) To upgrade and
maintain IT
infrastructure
IT infrastructure
upgraded and
maintained
Acquire computers
with bigger
memories
Computers with
bigger memories
acquired
Number of
computers with
bigger memories
Availability of funds
to purchase such
computers
7) To provide
transportation
Transportation
provided
Acquire vehicle to
facilitate work
Vehicle acquired Vehicle Availability of funds
121
8. Ghana Statistical Service Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
1. To strengthen
coordination and
collaboration of
statistical activities
across MDAs
i) Coordination
and
collaboration
across MDAs
strengthened
i) Reactivate and
expand NACPUS to
include all
identifiable groups
of stakeholders
i) Membership of
NACPUS
NACPUS file i) commitment of
stakeholders
ii) Organise bi-
annual meetings of
NACPUS
ii) Number of
meetings
Minutes ii) Availability of
funds
iii) Organise
quarterly meetings
of SSWGs
iii) Number of
meetings
Minutes
2. To improve
cooperation and
information sharing
across MDAs
i) Develop
mechanisms to
enhance cooperation
and information
sharing
3. To improve
awareness of the
importance of
statistics in national
development
i) Awareness
about the
importance of
statistics
improved
i) Arrange radio and
TV discussions
i) Number of Radio
and TV broadcasts
i) Radio and TV
broadcast
i)Commitment
ii) Produce and
publish articles in
local newspapers
ii) Number of
articles
ii) Newspaper
articles
ii) Commitment
iii) Celebrate Africa
Statistics Day and
GSS Statistics Week
in selected regional
capitals
iii) Africa Statistics
Day and GSS
Statistics Week
Report iii) Availability of
funds
v) Continue to
organise statistics
literacy training
workshops
nationwide
v) Number of
statistical literacy
workshops
v) Availability of
funds
4. To improve
availability of
physical
infrastructure
i) Availability of
physical
infrastructure
improved
i) To increase office
rooms
i) Number of office
rooms
i) Offices i)
ii) To provide offices
both existing and
new with adequate
equipment
ii) New equipment ii) Equipment ii) Availability of
funds
5. To improve
statistical
infrastructure with
improved and
modern types
i)Standardised
methodologies,
definitions and
classifications in
place
i) Put in place a
harmonised
methodologies,
concepts and
classifications
i) harmonised
methodologies
i)Standard manual
on methodologies
i) Availability of
funds
ii)Master
sample frame
updated
ii)Update the Master
Sample Frame and
update it periodically
ii)master sample
frame
ii)Master sample
frame
iii)Establishment
register
updated
iii)Update and
maintain digitised
Enumeration Maps
(EA Maps)
iii) Establishment
register
iii)Establishment
register
122
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
iv)Update and
maintain
Establishment
Register
iv)Number of
digitised EA maps
iv)database of
digitised EA maps
6. To improve
consistency in
timing of statistics
production
Consistency in
the production
of statistics
improved
To organise routine
surveys and
censuses according
to target cycles
Routine surveys
and censuses
organised
Record of surveys
and censuses
Availability of funds
7. To improve data
dissemination
i) Data
disseminated to
reach target
users on time
i) Assess current
dissemination
channels
i) Situation of
current
dissemination
channels
i) Report i) Availability of
funding to hire
consultant
ii) Design
dissemination
channels that
enhances
accessibility of users
of statistics
ii) Survey of users ii) Survey report ii) Availability of
funding
iii) Produce calendar
on periods of
releasing statistics
iii) Calendar for
releasing statistics
iii) Calendar
8. To update
knowledge, skills
and competence of
human resources
i) Knowledge,
skills and
competence of
human
resources
improved
i) Assess knowledge,
skills and
competence of
Professional staff
i)Situation of
Professional staff
knowledge, skills
and competence
i) Assessment
report
i) Funds to hire
consultant
ii) Design training
programme to
upgrade statistical /
ICT knowledge, skills
and competence
ii) Training
Programme
ii) Training
programme
iii) Organise training
workshops and short
courses for
Professional staff
iii) Number of
professional staff
iii) Training report iii) availability of
funds
9. To develop
databases
i) Assess capacity of
database at head
office
i) Situation of
database capacity
at head office
i) Situational report i) Availability of
funds to hire
consultant
ii) Review existing
database
infrastructure in the
regions
ii) Situation of
regional database
infrastructure
ii) Report on
review
ii) Availability of
funds to hire
consultant
123
Strategic Objective Output Activity Verifiable
Indicator
Means of
Verification
Important
Assumption
iii) Develop regional
database
implementation
plan
iii) Regional
database
implementation
plan
iii)
Implementation
Plan
iii) Availability of
funds
iv) Establish regional
databases
iv) Number of
regional databases
iv) Regional
databases
iv) Availability of
funds
v) Link regional
databases to CRD at
head office
v) Regional
databases and CRD
linkage
v) Linkage v) Availability of
funds
10. To develop
Information
Management
System
i) Relevant
software
acquired and
installed
i) Design effective
IMS
i) Information
Management
System
i) IMS i) Availability of
funds
ii) ICT
application
improved
ii) Train professional
staff on ICT
application
ii) Number of
training / staff
trained
ii) Training reports ii) Availability of
funds
iii) GSS website
developed
iii) Develop website iii) Website facility iii) Website iii) Availability of
funds
iv) Official
E-mails
accessed quickly
iv) Acquire relevant
equipment to
enhance operation
of e-mails
iv) E-mail facility iv) E-mails iv) Availability of
funds
124
125
9. Ministry of Lands Forestry and Mines
STRATEGIC OUTPUTS ACTIVITIES VARIABLE
INDICATORS
MEANS OF
VERIFICATION
IMORTANT
ASSUMPTIONS
OBJECTIVE
1.
Establish
Research and
Statistical Unit
in all the
Agencies
Research and
Statistics
Systems
established in
all the Agencies
under the
Ministry
1. Review Current
situation
Current Situation
reviewed
Reports Government
Committed to the
Programme
2. Develop TOR for
a Consultant
TOR in Place TOR for consultant
Available
3. Engage a
Consultant to
design Research
and Statistics Units
in all the Agencies
under the Ministry
Consultant engaged Reports Government
Committed to the
Programme
4. Establish
research and
statistical Unit in all
Agencies
2. Recruit
Personnel to fill
vacancies at
the newly
created Units
at the Agencies
Personnel
recruited to fill
vacancies at the
newly created
Units at the
Agencies
1. Develop TOR for
a consultant
TOR available Reports
2. Recruit a
Consultant to
conduct need
assessment of all
Agencies
Needs assessment
conducted
Reports
126
STRATEGIC
OBJECTIVE
OUTPUTS ACTIVITIES VARIABLE
INDICATORS
MEANS OF
VERIFICATION
IMORTANT
ASSUMPTIONS
3. Seek funding to
recruit personnel to
fill the vacancies
Funding secured Records
4. Recruit
personnel to fill the
vacancies
Personnel recruited
Record/Reports
5. Provide office
accommodation for
the personnel
Personnel recruited Reports
3.Develop
effective
Information
Management
System
Effective
Information
Management
System in place
1. Develop TOR for
consultant
TOR available Reports
2. Engage Consultant
to design Data Base
Programme
Consultants
engaged
Reports
Computers and
other accessories
procured
Records
3. Procure
computers,
scanners, printers
fax and
photocopies
4. Procure 5 4-
wheel vehicle for
staff at the Ministry
and Agencies for
data collection
5 4-wheel vehicles
procured
127
128
STRATEGIC
OBJECTIVE
OUTPUTS ACTIVITIES VARIABLE
INDICATORS
MEANS OF
VERIFICATION
IMORTANT
ASSUMPTIONS
4. Provide
training for staff of
SRIM and Statistics
units at the
Agencies
Staff at SRIM
and Statistics
Units at the
Agencies
trained
1. Conduct Needs
Assessment of staff
Needs Assessment
conducted
Reports
2. Develop training
programme
Training programme
develop
Reports
3. Seek funding to
undertake the
training
Funds secured Reports
4. Implement the
training programme
Training
programmes
implemented
Reports
5. Establish
reporting line for
information
dissemination
Reporting line
established
Reports
5. Ensure
effective
coordination and
collaboration with
MDAs and Other
Directorates in the
Ministry
Harmonies
working
relationship
established
1. Review current
situation
Meetings between
MDAs and
Directorates
Records of
meetings
organized
2. Arrange
meetings and
sensitize on areas
of collaboration
Sensitization
meeting taken place
Records
3. Resolution of
problems
Problem resolved Reports
4. Implement
agreed decisions
Implementation of
agreed decision in
place
Records
129
10. Ministry of health
Strategic
Objectives Output Activity
Verifiable
Indicators (OVI) of
achievement
Means of
Verification (MOV)
of achievement
Important
Assumptions (IA)
1. Establish
functional
Research and
Statistics Units at
the Ministry and its
agencies
Research and
Statistics Units
established and
equipped
Refurbish office
accommodation
Offices for the
Research and
statistics units
available
Offices for the
research and
statistics units
Commitment of
MOH
Facilitate
recruitment of
competent staff
Number of staff
recruited Registry Files Availability of Funds
Provide equipment List of items
procured Equipment Availability of Funds
2. Strengthen
health system
capacity to expand,
manage, and
sustain high
coverage of
services
Health system
capacity
strengthened
Train staff to
improve data
management
capability
Number of training
programmes
Reports on training
programmes
Commitment from
MOH
Rationalise facilities
based on Service
Availability
Mapping (SAM)
Existence of
rationalised facilities Facilities Availability of funds
3. Develop a
database for
routine and non-
routine data
Database
developed
Orientation Existence of a
database Assessment report
Availability of funds Establish
guidelines,
principles and
framework for
MOH database
Training of users
4. Establish
effective
coordination and
collaboration of
statistical activities
with MDAs
Coordination
and
collaboration of
statistical
activities
established
Hold regular
meetings with
MDAs and discuss
areas of
collaboration with
them
Number of meetings
held Reports
Cooperation from
MDAs
Implement agreed
decissions
Number of agreed
decissions
implemented
Reports
5. Improve data
dissemination
Data
dissemination
improved
Establish data
dissemination
guidelines
Existence of data
dissemination
guidelines
Reports
Availability of funds
Review data
dissemination
guidelines
Existence of
reviewed data
dissemination
guidelines
Reports
Commitment of staff
of the Research and
Statistics Unit
Design data
dissemination
policy
Availability of data
dissemination policy
Reports Cooperation from all
stakeholders
Disseminate policy
document Reports Availability of funds
130
Table A13: The GSDP Design Team No. NAME ORGANISATION E-MAIL TEL
1
.
Mr. Samuel Oku MOFA [email protected] 208193118
2.
Ms. Efua Anyanful MOWAC [email protected] 688183/
0275741657
3.
Mr. Daniel Zogblah MOESS [email protected] 208744159
4
.
Mr. M. C. Datsomor MOTI
PSD/PSI
[email protected] 208129661
5.
Dr. Reginald Odai MOH [email protected] 277740183
6. Mr. Ahmed Tijani MMYE [email protected] 208388961
7. Mr. Kingsley Addo MLRD(B & D) [email protected] 0244215830/021668072
8. Mr. Desmond Boateng MOC [email protected] 0208152713/021685612
9. Capt. P. I. Donkor NDPC [email protected] 244138971
10. Mr. A. S. Dzadzra MOFEP [email protected] 208165934/021662299
11.
Mr. Emmanuel A.
Cobbinah
GSS [email protected] 21661470
12. Mrs. Abena Osei Akoto GSS [email protected] 244471327
13. Mr. Anthony Amuzu GSS [email protected] 277524127
14. Mr. Henry Nii Odai GSS [email protected] 21682655
15. Mr. Martin Poku GSS [email protected] 243289160
16. Mrs. Araba Forson GSS [email protected] 021682639/02182649
17. Mr. Magnus Ebo Duncan GSS [email protected] 21664383
18.
Mr. Opoku Manu Asare GSS & GSDP
Deputy
Coordinator
[email protected] 21661470/0208167169
19. Mr. Kofi Agyeman- Duah GSS & GSDP
Coordinator
[email protected] 021660329/0243346387