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GHANA STATISTICS DEVELOPMENT PLAN 2009-2013 November, 2008
GHANA STATISTICS DEVELOPMENT PLAN
2009-2013
November, 2008
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Table of Contents Page
Table of Contents ............................................................................................................................. ii
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
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5.2.1 Economic statistics and related indicators ............................................................................................. 30 5.2.2 Statistical inquiries ................................................................................................................................ 31 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 ............................ 74
Table A6: Gaps in Statistics produced to Monitor Development Programmes .............................. 77
Table A7: Censuses and Surveys Programme 2009-2013 .............................................................. 79
Table A8: Time Schedule for Plan Implementation ..................................................................... 83
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............................................................................................ 125
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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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FOREWORD
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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PREFACE 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 and 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 $107,132,900. 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$2,625,100 while recurrent expenditure is US$18,148,532. An additional US$27,418,900 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$52,558,300 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 $26,155,600, and the cost for the first three years is US $99,893,600. 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, 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.
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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).
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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
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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 whom 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,
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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.
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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.
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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.
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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, and 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.
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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 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/MOFEP
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/NPC/UG/UCC
21. Household Budget Survey 1974 GSS
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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
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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
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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 not updated fast enough;
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(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).
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Table 3: Current NSS Staff by Subject
Subject Area
GSS
MO
FA
MO
WA
C
MO
C
MO
H
MO
TI
MM
YE
MO
ESS
B &
D
MLF
M
Tota
l
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.
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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 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;
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(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.).
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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).
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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, when 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 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.
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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.
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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 to that to the extent possible, they can be taken into account in upcoming data collection exercises, or deliberately programmed.
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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
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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 and 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
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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
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(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,
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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.
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(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
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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.
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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.
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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;
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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.
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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 plan 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.
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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
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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
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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
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(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; 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 $107,132,900. The total cost for the first year alone is US $26,155,600, and the cost for the first three years is US $99,893,600. The highest expensed activity is the carrying out of surveys and censuses, which accounts for nearly 74.7 percent of the total implementation cost of the Strategic Plan. The next highest cost, which takes about six percent, is ICT followed by coordination and collaboration (4.2%). Awareness creation (3.6%) and training (3.6%) follow in that order (Table 5). The sector distribution indicates that about 79.3 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 $119,872,300 and US $128,559,400.
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Table 5: Annual, Three-Year and Five-Year Unadjusted Costs of Activities (US$’000)
Activity Y
ear
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
ear
Tota
l
5-Y
ear
Tota
l
1. Creating Awareness/sensitisation 774.9 774.9 774.9 774.9 774.9 2,324.6 3,874.4
2. Needs assessment/review of legal framework 53.1 26.5 0.0 0.0 0.0 79.6 79.6
3. Coordination and collaboration 906.3 906.3 906.3 906.3 906.3 2,719.0 4,531.6
4. Building physical Infrastructure 0.0 0.0 0.0 0.0 0.0 0.0 0.0
5. Transport & Equipment 0.0 0.0 0.0 0.0 0.0 0.0 0.0
6. ICT Infrastructure 4,201.7 2100.8 0.0 0.0 0.0 6,302.5 6,302.5
7. Statistical Infrastructure 984.4 984.4 656.3 0.0 0.0 2,625.1 2,625.1
8. Recruiting Statisticians 663.9 663.9 663.9 0.0 0.0 1,991.6 1,991.6
9. Training 776.5 776.5 776.5 776.5 776.5 2,329.4 3,882.4
10. Advocacy and Lobbying for resources 21.5 21.5 21.5 21.5 21.5 64.4 107.3
Improve organisational structure and management system 756.5 756.5 756.5 0.0 0.0 2,269.6 2,269.6
12. Censuses 9,122.3 27,000.0 14,605.1 0.0 0.0 50,727.4 52,558.3
13. Surveys 7,596.3 7,072.1 12,897.0 7,072.1 9,781.5 27,565.5 27,418.9
14. Dissemination 262.2 262.2 262.2 262.2 262.2 786.6 1,311.0
15. Meetings 21.8 21.8 21.8 21.8 21.8 65.3 108.9
16.NSDS/NACPUS activities 14.4 14.4 14.4 14.4 14.4 43.1 71.9
Total 26,155.6 41,381.8 32,356.2 9,849.6 12,559.0 99,893.6 107,132.9
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Table 6: Activities and Estimated Costs of GSDP by Sector (US$’000)
Activity
GS
S
MO
FA
MO
WA
C
MO
C
MO
H
MO
TI
MM
YE
MO
ES
S
B &
D
ML
FM
TO
TA
L
1. Creating Awareness/sensitisation 730.25 70.0 0.0 0.0 0.0 0.0 18.1 0.0 3,056.0 0.0 3,874.4
2. Needs assessment/review of legal
framework 21.0 30.0 0.0 0.0 0.0 0.0 8.6 0.0 0.0 20.0 79.6
3. Coordination and collaboration 1125.0 250.0 10.0 3.0 24.2 0.0 13.5 0.0 3,056.0 50.0 4,531.6
4. ICT Infrastructure 3,709.0 1,520.0 35.3 186.0 44.1 68.0 12.9 216.1 451.2 60.0 6,302.5
5. Statistical Infrastructure 1,563.7 480.0 34.0 370.0 0.0 177.4 0.0 0.0 0.0 0.0 2,625.1
6. Recruiting Statisticians 315.0 600.0 103.0 0.0 0.0 1.6 8.6 0.0 423.4 540.0 1,991.6
7. Training 358.4 1,640.0 10.4 51.0 1,286.0 90.0 2.4 134.5 233.0 76.7 3,882.4
8. Advocacy and Lobbying for
resources 107.256 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 107.3
9.Improve organisational structure
and management system 2,269.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2,269.6
10. Censuses 52,558.30 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 52,558.3
11. Surveys 21,286.1 5,592.0 31.9 0.0 0.0 0.0 0.0 508.9 0.0 0.0 27,418.9
12. Dissemination 857.1 210.0 0.0 50.0 77.9 0.0 5.0 91.0 0.0 20.0 1,311.0
13. Meetings 0.0 25.0 12.0 0.0 0.0 45.0 6.9 0.0 0.0 20.0 108.9
14.NSDS/NACPUS activities 71.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 71.9
Total 84,972.5 10,417.0 236.5 660.0 1,432.1 382.0 76.0 950.5 7,219.6 786.7 107,132.9
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 26,155.6 31,386.7
2 41,381.8 49,658.1
3 32,356.2 38,827.5
4 9,849.6 11,819.6
5 12,559.0 15,070.8
Total 1-3 99,893.6 119,872.3
Total 1-5 107,132.9 128,559.4
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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 $51.5 million of the estimated total amount of US$107.133 million, leaving a shortfall of US $55,633.0 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 $26.28m (c) Surveys (33 1/3%) US $8.76m (d) CPI & PPI (100%) US$1.13m (e) Total US $51.37m
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$9,007,200), Recurrent Cost (US$18,148,532) and Statistical
Inquiries (US$ 79,977,168).
The first two years of the plan require an outlay of about 60 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 90 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 prioritise 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$ 27,155,732. Of the remaining component, Statistical Inquiries, the programme activities are
of three categories:
(i) The two censuses (US$ 52,558,268),
(ii) Selected sample surveys (US$14,128,611) required to fill some immediate data gaps,
and
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(iii) Additional surveys (US$13,290,289) to make up the full complement of surveys
needed to provide and comprehensive statistical data base.
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.
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Box 8.1: Rationalised budget
1.Initial Cost
ACTIVITY Amount (US$)
Total 9,007,200
1 Review of legal framework 79,600
2 ICT Infrastructure 6,302,500
3 Statistical Infrastructure 2,625,100
2. Recurrent Cost
Total 18,148,532
1 Creating Awareness/sensitisation 3,874,400
2 Advocacy and Lobbying for resources 107,300
3 Coordination and collaboration 4,531,600
4 Recruitment and Training 5,873,932
5 GSDP/NACPUS activities 71,900
6 Meetings 108,900
7 Dissemination 1,311,000
8 Improve organizational structure & Mgt sys 2,269,600
3. Cost of Statistical Inquiries
Total 79,977,168
1 Censuses 52,558,268
2010 Population and Housing Census 38,934,916
Agricultural Census 13,623,352
2 Sample Surveys 27,418,900
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. 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. Professionalism
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
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. Coordination
Coordination among statistical agencies within countries is essential to achieve consistency and efficiency in the statistical system.
Principle 9. 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
Admin. 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/ B&D 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
Admin. 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 & 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
Admin. Sample survey
Census
9. Factories, mines and productive industries generally
GSS, Mines Dept, Minerals Commission
Gold production; Diamond production; Bauxite and manganese production; Index umbers 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
Admin. 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, No. of contracts awarded, contract sum, No. 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 No. of la our 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 expenditure – functional classification; income and expenditure tax
X
65
Scheduled Area of Statistical Production (PNDCL 135)
GSS/MDA Involved
Major Statistics Produced
Data Source
Admin. Sample survey
Census
19. Commercial and professional Undertakings
GSS/IRS No. 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 & 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 motor vehicles; Distribution of telephone lines by type of service and provider; Radio and television stations; Daily and weekly newspapers circulating in Ghana;
x x
66
Scheduled Area of Statistical Production (PNDCL 135)
GSS/MDA Involved
Major Statistics Produced
Data Source
Admin. 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
No. 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
Admin.
GIPC
Private fixed investment (as % GDP)
Private fixed investment (as % 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
Admin., 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
Admin
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
Focus of Development
Development Indicators Statistics Available Statistics required but not available
Data Source
Institution responsible
68
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)
Admin 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)
Admin 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)
Admin
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
Admin 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
Admin MMYE
69
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 Admin. 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
Admin. 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
70
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
Admin.
Reduction of 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
Admin. MMYE, Dept of Social Welfare
Rate in decline in armed robberies, rape and murder
Number of armed robberies, rape and murder
Admin. MOI, Police
Persons admitted in Prison Centres
Number of Persons admitted in Prison Centres
Admin. MOI, Prisons Service
Persons received in prison centres by type of offence
Persons received in prison centres by type of offence
Admin. MOI, Prisons Service
Number of capacity building programmes on business ethics
Number of capacity building programmes on business ethics
Admin. GIPC
Corporate Governance score cards
Corporate Governance score cards
Admin. 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 5 years of age
Underweight prevalence, stunting, wasting,
Admin, survey
MOH, GSS
71
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
Admin. 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
Admin., 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
Admin., survey
MOH, GSS
72
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
Admin, survey
MOH, GSS
Proportion of births attended by skilled health personnel.
Skilled attendants at delivery
Admin., survey
MOH, GSS
Institutional deliveries Admin., survey
MOH, GSS
Contraceptive prevalence
Admin., 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
Admin., survey
MOH, GAC, GSS
Condom use rate Condom use with non-regular partners among men and women aged 15-24 years
Admin. 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
Admin MOESS
73
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
Admin., 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
Admin., survey
MOC, NCA, GSS
Personal computers in use per 100 population
Number of personal computers in use per 100 population
Admin., survey
Internet users per 100 population
Internet users per 100 population
74
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 -
T 50 10 10 10 10 10
Total 578
2.Physical Infrastructure
i) GSS Head Office
ii) Regional Offices (GSS)
iii) MDA Statistical Units
75
Activities Number/Qty 2009 2010 2011 2012 2013
3.ICT 1 B&D 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
No. of benefi-
Duration (weeks)
Location Type of training
Courses Ciaries
Ghana Extn*. 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
76
Table A5.3 Training of MDAs
Courses
Training to deliver
No. of benefi-
Duration (weeks)
Location Type of training
Ciaries
Ghana Extn*. 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
77
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 % of GDP Admin. 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 Admin, Survey
MOF
Environment and natural resource Management
Percentage change in resource spent for Corporate Social Responsibility including alternative livelihood programmes
Admin., Survey
MLFM
Rate of deforestation Admin., Survey
MLFM
Hectares of degraded forest, mining, dry and wet lands rehabilitated/restored due to mining activities Admin MLFM
Carbon dioxide emissions (per capita) and consumption of ozone-depleting CFCs (ODP tons)
Admin. MLGRD, EPA
Proportion of population with sustainable access to an improved water source, urban and rural
Admin., Survey MLGRD
Proportion of urban and rural population with access to improved sanitation
Admin., Survey
MLGRD, EPA
Human resource development
Proportion of the youth benefiting from skills/entrepreneurial training Admin., Survey MMYE
Maternal mortality ratio Survey GSS, MOH
Science and technology productivity and development
Percentage change in research and development expenditure (public) Admin.
MOESS, MOFEP
78
Area of focus Indicators not available Source
MDA responsible
Employment Generation and Expansion of Social Safety Net
Number of labour disputes Admin. MMYE
Social protection expenditure as percentage of GDP Admin. MMYE, GSS
Transport Infrastructure (Rail, water) Total funds disbursed for routine maintenance relative to investment needs
Admin MPHR, MOT
ICT Number of schools with internet access Admin. MOESS
Public safety and security Rate of small arms acquisition
Admin. MoI, Police
Rate of decline in cases of worst forms of child labour, child trafficking and child abuse
Admin., 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
Admin. ,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 Admin. MLFM
Ratio of area protected to maintain biological diversity to surface area
Admin. MLFM
Proportion of households with access to secure tenure Admin., Survey
MLFM, MOFA, GSS
Carbon dioxide emissions (per capita) and consumption of ozone-depleting CFCs (ODP tons)
Admin. MLGRD, EPA
Proportion of population with sustainable access to an improved water source, urban and rural
Admin., Survey
MLGRD
Proportion of urban and rural population with access to improved sanitation
Admin., Survey MLGRD, EPA
79
Table A7: Censuses and Surveys Programme 2009-2013 Th
em
atic
Are
as
Stat
isti
cs
and
Ind
icat
ors
to
b
e
Pro
du
ced
Po
p.&
H
ou
sin
g
Ce
nsu
s 2
01
0
Agr
ic.
Ce
nsu
s
20
11
IBES
20
09
-20
13
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 )2
00
9
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
80
Social and Demography
Stat
isti
cs
and
Ind
icat
ors
to
b
e
Pro
du
ced
Po
p.&
H
ou
sin
g
Ce
nsu
s 2
01
0
Agr
ic. C
en
sus
20
11
IBES
20
09
-20
13
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
St
atis
tics
Stu
die
s (
Tim
e U
se
Surv
ey
)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
81
Social and Demography
Stat
isti
cs
and
Ind
icat
ors
to
b
e
Pro
du
ced
Po
p.&
H
ou
sin
g
Ce
nsu
s 2
01
0
Agr
ic. C
en
sus
20
11
IBES
20
09
-20
13
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
St
atis
tics
Stu
die
s
(Tim
e
Use
Surv
ey
)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
82
Agriculture and Environment
Stat
isti
cs
and
Ind
icat
ors
to
b
e
Pro
du
ced
Po
p.&
H
ou
sin
g
Ce
nsu
s 2
01
0
Agr
ic. C
en
sus
20
11
IBES
20
09
-20
13
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
St
atis
tics
Stu
die
s
(Tim
e
Use
Surv
ey
)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. No. 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
83
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 MDA 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
84
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.
85
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
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 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) censues 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
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 2 Rooms(5 in all for EMIS) One room shared with personnel officer and GHS Staff
ii) Computers 3 3
iii) Software Excel, Access, SPSS, EDUSTAT
Excel, SPSS, Access
iv) Internet Yes Yes
v) Databank Yes Nil
vi) No. of vehicles 3 Nil
vii) Website Yes Nil
7. Staff (Statisticians)
i) Number 3 2
ii) Academic qualifications BSc, Diploma PHD, HND
iii) On-the-job training 3 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 ( No. of
92
Situation Ministry of Education, Science and Sports
Ministry of Health
iii) Training Skills. Hospitals, Clinics, Beds)
i) No of schools/Institutions iii) Doctor/Population ratio
ii) Enrolment iv) Nurse/ Population ratio
iii) Teachers v) Occurrence of Diseases (HIV,
iv) Pedagogical Tools (Text books etc)
TB, Guinea Worm, Polio 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, Printouts 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 10 rooms
ii) Computers 15
iii) Software Excel, SPSS, Access
iv) Internet Yes
v) Databank Nil
vi) No. of vehicles 3
vii) Official Email Address Nil
93
Situation Ministry of Food and Agriculture
7. Staff (Statisticians)
i) Number 19
ii) Academic qualifications HND, Bsc, Msc
iii) On-the-job training 19
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
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, 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) 4 4
ii) Computers 5 12
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) 7 9
i) Number Diploma, BA, MPhil Dipolma, Bsc
ii) Academic qualifications Nil Yes
iii) On-the-job training Nil Nil
iv) Short Courses Limited skills in research techniques and data analysis
Computer Literacy
v) Areas of skills /competence
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
Equality
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, Printouts, 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 3
ii) Computers 1 4
iii) Software Nil Nil
iv) Internet Nil Yes
v) Databank Nil Nil
vi) No. of vehicles 1 Nil
vii) Official Email Address
7. Staff (Statisticians)
i) Number Nil 1
ii) Academic qualifications
BSc
iii) On-the-job training 3
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 One
(Statistical Unit only) One
i) Office space MS Word, Access, Publisher PowerPoint
ii) Computers Yes
iii) Software Yes
iv) Internet One
v) Databank Yes
vi) No. of vehicles
vii) Official Email Address 3
7. Staff (Statisticians)
i) Number
ii) Academic qualifications 1 MSc; 2 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 2 Several
iii) Software Excel, Access SPSS, IMPS, CSPro, SAS,
iv) Internet Nil Yes
v) Databank Being Developed GhanaInfo, IMIS, ADP
vi) No. of vehicles Nil Several
vii) Official Email Address Nil [email protected]
7. Staff (Statisticians)
i) Number 4 201
ii) Academic qualifications
MSc, BA/Dip, HND (2) 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 and 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 8 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
a) Installation of server, printers and LAN at headquarters
a) Equipment provided installed
a) Monitoring visits
a) facilitate capture processing, storage and retrieval of information
a) Creation of database
b) Install computers and scanners at all regional/district registration offices
b) Communication between H/Q and other offices
b) To eliminate multiple registrations and minimise fraudulent registrations
b) Efficient management and processing of data
c) Link all registration offices nationwide through WAN
c) Communication between BDR 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 BDR website
e) Effective dissemination of information
108
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
109
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
No. 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
110
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 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
111
4. MINISTRY OF FOOD AND AGRICULTURE
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
112
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 3 Agencies,10 regional offices and 110 districts
Computer per officer ratio
Administrative Records
Timely procurement of equipment
Installation of EMIS Application Software in 10 Regional Offices and 110 districts
Data Utilisation Workshops for officials in the regions and districts at zonal levels on 2006/07 Report
Training 120 officers from the next 60 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 60 sites)
Completion time of data entry
113
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 28 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 28 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 120 district sites
Percentage of questionnaires submitted for data entry
114
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
Percentage of questionnaires completed without error
Validation Survey
Education Census
data at all district centers
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
% of intranet versatile officers in the regions
Retention of Trained staff at post
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
No. 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
% 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
% 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
115
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
No of staff trained in ICT& computer software applications
Personnel records/files
Technical backstopping & support from GSS
No 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
No. of Market women trained in ICT tools and applications
ICT training report Funding and logistics availability
Train market women in ICT and its application
116
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 and 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 & hardware
Number of IT specialists
IT staff Approval from MOFEP
Train existing statistical & 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 & 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 & 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 & 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 & analysis
Officers with skills in data capture & analysis
Report on training program
Availability of funds
117
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 & RTI officers in surveys/census organisation
Number of staff Report on training Cooperation from industries & SMEs
Organise sensitising workshops for industries & SME in specific sectors
Number of workshops
Report on workshop
Availability of funds
Organise workshops for RIS & 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 & maintain IT infrastructure
IT infrastructure upgraded & 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
118
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) Commit-ment
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
119
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) 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
120
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) Emails iv) Availability of funds
121
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
Current Situation reviewed
Reports Government Committed to the Programme 1.Review
Current situation
TOR for consultant Available
2.Develop TOR for a TOR in Place
Consultant
3.Engage a Consultant to design Research and Statistics Units in all the Agencies under the Ministry
Consultant engaged Reports Do
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
122
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
Consult engaged Reports
Computers and other
Records
3.Procure computers, scanners, printers faxand photocopies
Accessories procured
5 4-wheel vehicles procured
4.Procure 5 4- wheel vehicle for staff at the Ministry and Agencies for data collection
123
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 & 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 & Other Directorates in the Ministry
Harmonies working relationship established
1. Review current situation
Meetings between MDAs & 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
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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 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
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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. Mrs. 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
