Peer Review CAMEROON - | PARIS21€¦ · Peer Review Of The National Statistical System of Cameroon...
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Peer Review CAMEROON National Statistical System December 2015
Transcript of Peer Review CAMEROON - | PARIS21€¦ · Peer Review Of The National Statistical System of Cameroon...
Peer ReviewCAMEROONNational Statistical System
December 2015
Peer Review
Of The National Statistical System of Cameroon December 2015
Peer Reviewers
Mr Aboubakar Sedikh Beye
Director General National Agency of Statistics and Demography
Senegal
Mr Djibril Dione Deputy Director Department of Forecasting and Economic Studies, Ministry of Economy, Finance and Planning
Senegal
Mr Ousmane Abdoulaye Haggar
Director General National Institute of Statistics and Economic and Demographic Studies
Chad
Mr Hamadou Boubakari
Director of Monitoring and Evaluation
Ministry of Planning and International Cooperation
Chad
Secretariat
Mr Lamine Diop Consultant PARIS21 Secretariat
Mr Rudolphe Petras Program Coordinator PARIS21 Secretariat
Elhadj Oumarou Malam Soule Expert AFRISTAT
Gildas Crépin Nzingoula Expert African Union Commission
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ACRONYMS
AFRISTAT: Economic and Statistical Observatory of Sub-Saharan Africa AFRITAC: Regional Technical Assistance Centre AMO: Support Programme of the Central Project Administration for
MINADER and MINEPIA ARSEL: Electricity Sector Regulatory Agency TTY: Technical Agent for Statistics ADB: African Development Bank BEAC Bank of States of Central Africa BIP: Public Investment Budget ILO: International Labour Office BM: World Bank BUCREP: Central Bureau of Census and Population Studies CAA: Autonomous Sink Fund CAMERCAP Economic Management Capacity Building Project in Cameroon CamSED: Cameroon Socio-Economics Database C2D: Contract Debt Reduction - Development MTEF: Medium Term Expenditure Framework CEMAC: Community Economic and Monetary Community of Central Africa CFM: Final Household Consumption CNPS: National Social Insurance Fund CNS: National Statistics Council DCR: Department of Coordination and Research DCR: Department of Coordination and Research DGD: General Customs Directorate DGI: General Tax Management DGNS: General National Security Delegation DGTCFM: Directorate General of the Treasury and Financial and Monetary Cooperation ECSD: Growth and Jobs Strategy Document ECAM3 Third Cameroonian Household Survey EDS-MICS4: 4th Multiple-Indicator Demographics and Health Survey EESI: Employment and the Informal Sector Survey DRE: Decentralised Rural Electrification FAO: Food and Agriculture Organisation ICC: Cost of Construction Index HICP: Harmonised Index of Consumer Prices INP: National Price Index INS: National Statistics Institute INSEE: National Institute of Statistics and Economic Research IPI: Industrial Production Index IPPA: Agricultural Product Price Index IPTS: Principal Engineer of Statistical Work ISE: Statistician-Engineer-Economist ITS: Engineer Works Statistics MICS: Multiple-Indicator Cluster Survey MINADER: Ministry of Agriculture and Rural Development MINATD: Ministry of Territorial Administration and Decentralisation MINEDUB: Ministry of Basic Education MINCULT: Ministry of Culture MINCOMMERCE: Ministry of Commerce MINPMEESA: Ministry of Small and Medium Businesses, Social Economy and Handicrafts MINEP: Ministry of Environment and Nature Protection MINEPAT: Ministry of Economy, Planning and Regional Development MINEPIA: Ministry of Livestock, Fisheries and Animal Industries MINESEC: Ministry of Secondary Education MINIMIDT: Ministry of Industry, Mines and Technological Development MINFOF: Ministry of Forestry and Wildlife MINEE: Ministry of Energy and Water
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MINEFOP Ministry of Employment and Vocational Training MINJUSTICE: Ministry of Justice MOH: Minister of Public Health MINTOUR: Ministry of Tourism PNDP: National Participatory Development Programme UNDP: United Nations Development Programme NEPAD: New Partnership for Africa's Development SDDS: Special Data Dissemination Standard OECD: Organisation for Economic Cooperation and Development MDGs: Millennium Development Objectives WHO: World Health Organisation ONEFOP: National Observatory of Employment and Vocational Training PAGE : Support Programme for Economic Management PAGT: Programme for Improving Governance and Transparency in Public Finance
Management PARIS21: Statistical Partnership for Development in the 21st Century PASE: Programme to support the Education Sector PETS: Public Expenditure Tracking Survey PNDP: National Participatory Development Programme UNDP: United Nations Development Programme TFP: Technical and Financial Partners RGE: General Census of Businesses RGPH: General Census of Population and Housing SIS: Health Information System NSDS: National Strategy for Development of Statistics NHIS: National Statistical Information System SPC: Permanent Accounting Plan Secretariat ICT: Information and Communication Technology GST: Principal Technician for Statistics EU: European Union UNESCO: United Nations for Education, Science and Culture UNFPA: United Nations Population Fund UNICEF: United Nations Children's Emergency Fund
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ABSTRACT
The peer review of Cameroon's statistical system was performed by Senegal and Chad during a mission in Yaoundé from 7 to 11 December 2015. The exercise was facilitated by AFRISTAT, the Commission of the African Union and PARIS21, who provided experts to support the review team and prepare a report containing recommendations. This was the twelfth such exercise carried out in Africa - seven have been conducted in AFRISTAT member countries.
The methodology was based on the fundamental principles of official statistics of the United Nations, the African Charter on Statistics - which shows and explains these principles in the African context - and the quality criteria of the National Strategy for the Development of Statistics (NSDS) defined by PARIS21. The aim was to see the extent to which the policies and practices within the national statistical system of a country respect the fundamental principles of official statistics.
The review focused in particular on the following: the legislative and regulatory framework governing statistical activities, statistical production equipment, and the analysis, dissemination, storage and use of statistical data. To this end, interviews were held with the major producers of official statistics and the main users, including development partners, on the basis of an interview model developed by PARIS21.
At the end of the review and on the basis of the interviews conducted, the peers identified the strengths and weaknesses of the statistical system of Cameroon. Main strengths were: the quality of human resources, good experience in strategic planning and control of statistical operations including surveys and censuses. Weaknesses lie notably in the obsolete nature of the texts governing statistical activities (adoption of new legislation is underway) as well as shortcomings in the operationalisation of statistical coordination. Detailed recommendations are found at the end of the report.
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Contents
ACRONYMS ............................................................................................................................................ 2
ABSTRACT ............................................................................................................................................. 4
1. BRIEF PRESENTATION OF CAMEROON......................................................................................... 6
2. PRESENTATION OF PEER REVIEW APPROACH .......................................................................... 6
2.1 Background and Objectives .......................................................................................................... 6
2.2 Methodology .................................................................................................................................. 7
3. OVERVIEW OF THE NATIONAL STATISTICAL SYSTEM OF CAMEROON .................................... 8
3.1 Legal framework ............................................................................................................................ 8
3.2 Mapping of the National Statistical System (NSS) ........................................................................ 8
4. STATISTICAL COORDINATION AND STRATEGIC MANAGEMENT OF STATISTICAL DEVELOPMENT ..................................................................................................................................... 8
4.1. Institutional Framework for Statistical Coordination ..................................................................... 8
4.2 Functions of statistical coordination .............................................................................................. 9
4.3 Strategic management of statistical development ......................................................................... 9
5. IMPLEMENTATION OF FUNDAMENTAL PRINCIPLES OF OFFICIAL STATISTICS .................... 11
6. RESOURCES OF THE NATIONAL STATISTICAL SYSTEM ........................................................... 11
6.1 Human resources ........................................................................................................................ 11
6.2 Material resources ....................................................................................................................... 13
6.3 Financial resources ..................................................................................................................... 13
7. PRODUCTION OF STATISTICS ...................................................................................................... 13
7.1 Overview of the production of statistics ....................................................................................... 13
7.2 Production of statistics by the INS ............................................................................................... 13
7.3. Production of statistics by other structures of the national statistical system ............................ 14
8. PUBLICATION, DISTRIBUTION AND RETENTION OF DATA ........................................................ 14
9. USER PERSPECTIVES .................................................................................................................... 14
10. FINDINGS ....................................................................................................................................... 14
10.1 Strengths ................................................................................................................................... 14
10.2 Weaknesses .............................................................................................................................. 17
10.3 Opportunities ............................................................................................................................. 19
10.4 Threats ...................................................................................................................................... 19
11. RECOMMENDATIONS ................................................................................................................... 19
APPENDIX 1: COMPOSITION OF THE MISSION ............................................................................... 22
APPENDIX 2: LIST OF PEOPLE MET .................................................................................................. 23
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1. BRIEF PRESENTATION OF CAMEROON1
The Republic of Cameroon is a country in the Gulf of Guinea in Central Africa. It has an area of 475,650 square kilometres and a population estimated at 22 million inhabitants in 2014. This population is predominantly young; under-15s represent 43% of the population, and over-65s 3.5%. Nearly half of the population lives in urban areas, with Douala and Yaoundé being the largest cities.
The country is divided into 10 regions, 58 departments and 360 districts.
Cameroon has good road, rail and port infrastructures compared to other Central African countries: 50,000km of roads of which about 10% are paved, 1,016km of railways, four autonomous ports and three international airports.
The country has natural resources in terms of agriculture (bananas, coffee, cocoa, cotton, honey), forestry and mining (bauxite, iron, cobalt, nickel, manganese, diamonds) and oil.
Economic growth measured by GDP has been positive over the last fifteen years, but is still not up to expectations, with an average annual growth rate of 3.6% from 2001 to 2007 and 4% between 2007 and 2014. At the same time, population growth has remained relatively high, estimated at 2.6% annually. Thus, according to data from national accounts, the average annual growth rate of per capita GDP over the period is 1% between 2001 and 2007 and 1.2% for 2007-2014. This growth is mainly driven by the service sector (construction, mining, and, to some extent, agribusiness). The primary sector meanwhile, represents 21% of GDP for 2007-2014.
Thanks to the job creation policy implemented by the Government, the employment rate among 15-64 year-olds increased from 60.4% to 62.8% between 2005 and 2010. The overall underemployment rate for the same age-range in urban areas was estimated at 58.2% in 2005 and 56.2% in 2010.
Cameroon is a member of several regional and sub-regional organisations, including the Economic and Monetary Community of Central Africa (CEMAC), the Community of Central African States (ECCAS) and AFRISTAT.
2. PRESENTATION OF THE PEER REVIEW APPROACH
2.1 Background and Objectives
The Heads of State and Government of the African Union set up the African Peer Review Mechanism (APRM) to assess the political and economic governance of the Member States of the African Union. They participate on a voluntary basis and a report is written and published at the end of each examination.
In the field of official statistics, peer review is seen as the review and assessment of the performance of the statistical system of a state by other states, with the aim of helping the reviewed country to improve its policies, adopt best practices and comply with statistical standards and principles established internationally. Amicable reviews are performed, largely based on the mutual trust of participating states and their shared confidence in the process. It is important to note that peer review evaluates the quality of statistical governance; it does not make a detailed technical assessment of the quality of official statistics produced by a country.
1 See "National Report on the Millennium Development Goals by 2015," published under the coordination of the National Institute of Statistics of Cameroon, some paragraphs have been included in this document.
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It should also be recalled that at the 18th meeting of the AFRISTAT Steering Committee held in Bamako in October 2008, the PARIS21 Secretariat had announced a peer review to the National Statistical System (NSS) in developing countries, via the application.
Following the ensuing discussions, the Executive Committee had decided to launch, on an experimental basis, a cycle of peer reviews of the national statistical systems of two AFRISTAT Member States during the first quarter of 2009. AFRISTAT general management and the PARIS21 Secretariat had decided to provide technical support therefor by enlisting an expert.
By applying the recommendations of the fifth meeting of the Directors General (DG) of the National Statistical Institutes (NSI) organised by the African Union (AU) Commission in December 2010 in Yaoundé (Cameroon), the African Union Commission should ensure the continuation of the cycle in order to extend it to all African countries over the coming years.
Since the start of the process in 2009, six (6) reviews were performed in the following AFRISTAT member countries: Burkina Faso (January 2009), Niger (March 2009), Benin (July 2010), Congo (November 2010) Senegal (October 2011) and Mauritania (January 2014). Peer reviews have also been organised for the following countries: Ghana, Malawi, Mozambique, Tanzania and Kenya.
The peer review of the national statistical system in Cameroon was conducted from 7 to 11 December 2015 by Senegal and Chad. The delegation of Senegal comprised the Director General of the National Agency of Statistics and Demography (ANSD) and the Deputy Director of the Department of Forecasting and Economic Studies (DPEE) of the Ministry of Economy, Finance and Planning. The Chadian delegation included the Director General of the National Institute of Statistics and Economic and Demographic Studies (INSEED) and the Director of Monitoring and Evaluation of the Ministry of Planning and International Cooperation. Two experts from PARIS21, an AFRISTAT expert and the African Union Commission supported the implementation of the cycle and provided the secretariat.
2.2 Methodology
The methodology was based on the fundamental principles of official statistics of the United Nations, the African Charter on Statistics - which shows and explains these principles in the African context - and the quality criteria of the National Strategy for the Development of Statistics (NSDS) defined by PARIS21. The aim was to see the extent to which the policies and practices within the national statistical system of a country respect the fundamental principles of official statistics.
The review focused in particular on the following: the legislative and regulatory framework governing statistical activities, statistical production equipment, and the analysis, dissemination, storage and use of statistical data. To this end, interviews were held with the major producers of official statistics and the main users, including development partners, on the basis of an interview model developed by PARIS21. (See Annex 2 for the list of persons met for the mission).
At the end of the mission, strengths and weaknesses of the national statistical system were reviewed and recommendations formulated and presented to the Director General of the National Statistics Institute (INS). An aide-memoire was prepared for this purpose.
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3. OVERVIEW OF THE NATIONAL STATISTICAL SYSTEM OF CAMEROON
3.1 Legal framework
The National Statistical System (NSS) 2of Cameroon is governed by Law No. 91/023 of 16 December 1991 on censuses and statistical surveys and its implementing decree (Decree No. 93/407 / PM of 7 May 1993 laying down detailed rules for the law on censuses and statistical surveys). The decree creates and organises the National Statistics Council (CNS), the coordinating body of the National Statistical Information System (SNIS), and establishes prior permissions regarding censuses and statistical surveys of public services.
2001 saw the creation of the National Institute of Statistics (INS), a public administrative institution with legal personality and management autonomy to replace the Directorate of Statistics and National Accounts (Decree No. 2001/100 of 20 April 2001). The INS is the central statistical body of the country, and is responsible for the technical coordination of the SNIS.
The Statistics Law and its implementing decree became obsolete. Plans for revision have been prepared and adopted by the CNS.
3.2 Mapping of the National Statistical System (SSN)
The National Statistical System (SSN) of Cameroon is decentralised. Is comprises the following:
the National Statistics Council (CNS);
the central statistical agency: the National Institute of Statistics (INS);
the Central Bureau of Census and Population Studies (BUCREP)3;
sectoral statistical services located in ministries and public and parastatal agencies;
the National Directorate of Statistical Services of the Bank of the States of Central Africa (BEAC), an organisation of six states which share the same currency: Cameroon, Congo, Gabon, Equatorial Guinea, the Central African Republic and Chad;
two training centres: the sub-regional Institute of Statistics and Applied Economics (ISSEA) and the Institute for Demographic Training and Research (IFORD), which are located in Cameroon. Despite their international nature, they are fully integrated into the SSN.
Unlike most French-speaking African countries, in Cameroon the implementation of general censuses of population and housing is not the responsibility of the central statistical agency. It is entrusted to BUCREP, which like the INS is a public administrative establishment.
4. STATISTICAL COORDINATION AND STRATEGIC MANAGEMENT OF STATISTICAL DEVELOPMENT
4.1. Institutional Framework for Statistical Coordination
The institutional framework for statistical coordination is governed by Law No. 91/023 of 16 December 1991 on censuses and statistical surveys and its implementing decree (Decree No. 93/407 / PM of 7
2 Cameroonian statisticians also use the name "National Statistical Information System (SNIS)." 3 BUCREP was created by decree in 1999.
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May 1993 laying down the procedures for application of the law on censuses and statistical surveys). This decree establishes the functions and organisation of the National Statistics Council (CNS).
Under the decree of 7 May 1993, the CNS is chaired by the Minister of Statistics (the Minister of Economy, Planning and Regional Development) and includes representatives of the National Assembly, the economic and social council, the private sector, labour unions and several governments.
The CNS meets in regular session once a year and its secretariat has been provided by the central statistical agency, namely the INS, since 2001.
After a long period of lethargy, the CSN has met regularly since 2005.
4.2 Functions of statistical coordination
Since Cameroon has opted for strategic planning of the development of their national statistical system, the CNS plays an active role in the development and monitoring and evaluation of national strategies for the Development of Statistics (SNDS). Each year it reviews the report on the implementation of planned activities for the previous year by the SNDS.
To date, the CNS has no specialised committees, which impedes certain subjects from being addressed in an in-depth manner. The draft revision of the decree of 7 May 1993 which was adopted by the CNS provides for the establishment of such committees.
In recent years, the INS has developed several technical coordination tools (classifications of activities, products, trades and professions, a directory of statistical concepts and definitions, a dictionary of statistical surveys; a guide to good statistical practices; an expenses log for production and dissemination of statistics, etc.). These products are powerful tools for coordination, and help to anchor the quality approach throughout the SNIS.
4.3 Strategic management of statistical development
From 2001 to 2006, prior to the development of the SNDS 2009-2013, Cameroon implemented a rolling three-year statistical programme under the authority of the National Statistics Council. Statistical activities to be performed to meet demand were identified and scheduled for execution over a period of three years. Each year a review was performed and adjustments made as necessary, and activities were scheduled for another year. With the adoption of the interim Poverty Reduction Strategy Paper (DSRP) from 2003 to 2006, this type of planning has given way to the "statistical system". This device, known as the "minimum statistical program", is included in the DSRP adopted in April 2003. It was intended to enable the National Statistical Information System "to provide timely quality statistical data and indicators for the monitoring and evaluation of implementation and measurement of progress".
The minimum statistical program (PSM) was a step forward in strategic planning. It explicitly included the definition of objectives, expected results and identification of resources to be allocated to each sector, but did not provide any vision or policies medium to long-term development.
Gradually the conditions were achieved for the development of a National Strategy for Statistical Development in line with international recommendations.
A general diagnosis of the national statistical system was conducted in 2008 under the responsibility of the National Statistical Institute, with the participation of other providers of official statistics. This diagnosis, which can be considered an assessment of the minimum statistical program, covered all aspects of the organisation and functioning of the SSN: legislative, institutional and organisational
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frameworks, statistical production, analysis and dissemination, human, material and financial resources.
The diagnosis allowed the classification of the structures providing official statistics into four groups according to their level of development4:
group 0 comprises of the INS and BUCREP; group 1 comprises "jurisdictions which have well-developed statistical services, with up-to-
date and functional information systems"; group 2 comprises “administrations which can be estimated to be at an average level of
functionality with production of statistical information systems"; group 3 comprises “administrations with a deplorable lack of institutional framework and as
such no information system, and almost no resources, all of which results in the unavailability of statistical data".
This diagnosis has also shown the limits of the statistical law of 1991 which no longer corresponds to the standards currently in force, having been adopted well before the Fundamental Principles of Official Statistics of the United Nations (April 1994) and the African Charter on Statistics (February 2009). As previously indicated, a draft revision of the statistical law is being adopted.
Having developed and implemented the first national statistical development strategy (SNDS 2009-2013) with satisfactory results as recommended by the Marrakech Action Plan for the Development of Statistics (MAPS), Cameroon adopted its second SNDS for the period 2015-2020. Like the first, this new strategy was developed in a participatory manner and is part of the drive to provide the Strategy Document for Growth and Employment (ECSD 2010-2020) a robust framework for monitoring and evaluation.
Each year the SNDS 2009-2013 has been subject to a report on the status of its implementation. It was the subject of a mid-term evaluation report and a final evaluation report. All of these reports have been submitted for consideration of the National Statistics Council.
As regards the progress recorded during the implementation of the previous statistical plans of the SNDS 2009-2013, the following may be retained:
Concerning statistical infrastructure, the classifications of activities and products of AFRISTAT member states have been implemented in Cameroon. Survey databases were established. A manual of concepts and definitions used for the publication of official statistics in Cameroon has been developed. It is updated regularly.
Statistical production has been quantitatively and qualitatively improved both in terms of administrative sources of statistics and statistics from surveys of households and businesses. The production of national accounts, an area in which Cameroon is exemplary and a pioneer, has also seen significant and steady progress.
The initial training of statisticians and demographers continues in ISSEA, the Abidjan ENSEA, the Dakar ENSAE and the Yaounde IFORD. Cameroonian graduates can integrate into public services without difficulty. There is also a Masters in Statistics at the Ecole Nationale superieure Polytechnique de Yaounde which has been providing training for statisticians for some years. Its products enter the domestic market. During their training, trainees very often conduct internships within the INS.
Funding provided by the state has steadily increased, particularly since the creation of the INS in 2001. It is still insufficient considering the needs of the entire INS. Moreover, many sectoral statistical
4 See Appendix A1 of the final summary document of the SNDS 2009-2013, page 52 and Appendix 9.3 of this report.
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services experience difficulties in budget planning for their activities. As regards support from development partners, it is better coordinated and overall picture of statistics has improved.
For 2020, the SNDS 2015-2020 is aiming for "a stable and efficient SNIS, which produces and disseminates reliable, current statistics, meeting the needs of all users, particularly in terms of the design and monitoring and evaluation of the implementation of development policies and programs, in order to move towards the Special Data Dissemination Standard (SDDS) of the IMF".
It is articulated around five (5) strategic priorities:
- Priority 1: Enhancing coordination and governance; - Priority 2: Improving human, material, technological and financial capacities; - Priority 3: Improving the coverage and quality of statistical production; - Priority 4: Improving the archiving, dissemination and use of data; - Priority 5: The development of applied research and reinforcement of cooperation.
The total cost of the SNDS 2015-2020 amounts to 125,637,000 FCFA, 33,836,000 FCFA of which is borne by the state. Activities planned by the INS totalled 30,435,000 FCFA, those planned by the BUCREP 19,252,000 FCFA. Due to the nature of the transactions, censuses, surveys and major operations account for 72.23% of the overall budget and the production of statistics from administrative sources 6.54%.
The SNDS 2009-2015 was presented to a round table of donors.
5. IMPLEMENTATION OF THE FUNDAMENTAL PRINCIPLES OF PUBLIC STATISTICS
The duration of the mission precluded the review of all of the principles and elements of the African Charter on Statistics.
No particular problems were indicated relating to the implementation of the fundamental principles of official statistics as set out in the Fundamental Principles of Official Statistics of the United Nations or the African Charter on Statistics. The scientific independence of public statisticians, and statistical confidentiality and data privacy were duly respected. Efforts should be made regarding transparency with a systematisation of the provision of metadata by sectoral statistical services.
Significant progress was made in the field of statistical coordination (see point 4 above) with fairly regular meetings of the National Statistics Council and the development of several technical coordination tools (see 4.2 above).
Finally, bilateral and international cooperation is relatively dynamic. The INS participates in the activities of AFRISTAT and other sub-regional (CEMAC), and international (United Nations: Cameroon has been a member of the Statistical Commission and Chair of the Working Group on the informal sector under the implementation of the Statistics Harmonisation Strategy in Africa (SHaSA)) organisations. For two years it has been a member of the AEG-SDG (Inter-Agency Expert Group on the Terms of Reference of indicators of sustainable development goals of the United Nations - ODD).
6. RESOURCES OF THE NATIONAL STATISTICAL SYSTEM
6.1 Human resources
The Cameroonian SSN is richly endowed with human resources. In 1961, a Statistical Training Centre was established in Yaoundé with United Nations sponsorship to train middle-managers of Statistics.
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The centre, known as the "Statistical Training Institute (IFS)", has had two changes of status, leading to the creation of the current sub-regional Institute of Statistics and Applied Economics (ISSEA) training centre under the supervision of the economic and monetary community of Central Africa (CEMAC). The ISSEA trains statisticians at middle and senior levels. The existence in the country of a training centre for over fifty years, combined with the quality of the education system of Cameroon and facilities for access to public services for Cameroonian statisticians, largely explains the wealth of SSN human resources. However, they are unevenly distributed. While the INS and BUCREP have significant human resources in quantity and quality, the same cannot be said about ministerial statistical services. Some of them have few or no statisticians and demographers. The following table below5 shows the distribution of SSN human resources in 2010. 52% of statistician and demographer personnel are employed by the INS. Thirteen (13) ministries have no statisticians or demographers.
Distribution of SNIS of human resources in 2010 by group
GROUP Administration Total
Statistician and Demographer Personnel Other staff
dem
ogra
phe
rs
ISE
ITS
/ IPT
S
TS /
TPS
ATS
Tota
l
Man
agem
ent
Seni
or
Supp
ort
Tota
l
0 INS 231 19 22 81 42 5 169 6 25 31 62 BUCREP 82 14 1 2 2 19 25 10 28 63 Group 0 total 313 33 23 83 44 5 188 31 35 59 125
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DGTCFM / MINFI 3 2 1 3 0 DP / MINFI 64 10 10 5 1 26 8 10 20 38 MINTOUR 16 2 1 3 13 13 CAA 6 1 3 1 5 1 1 DGD / MINFI 11 1 4 2 7 3 1 4 MINEDUB 418 0 42 20 356 418 MINESEC 244 0 244 244 MINESUP 61 1 1 58 2 60 MINSANTE 9 2 2 4 2 1 7 MINADER 182 2 2 4 76 71 31 178 MINJUSTICE 2 0 2 2 MINEFOP 78 1 1 77 77 Group 1 total 1094 1 17 24 9 1 52 528 103 411 1042
2
MINEPIA 35 0 12 23 35 MINTSS 67 0 67 67 MINPROFF thirty 0 thirty thirty MINCOM 3 0 3 3 MINRESI 6 1 1 4 1 0 5 MINTP 19 2 2 15 2 17 DGI / MINFI 22 8 5 13 2 7 9 DGEPIP / MINEPAT 42 1 20 9 2 32 4 2 4 10 DGPAT / MINEPAT 36 15 3 7 3 28 6 2 8 MINEE 10 4 4 4 2 6 MINATD 12 0 5 5 2 12 Group 2 total 282 16 23 31 10 0 80 122 68 12 202
MINIMIDT 33 1 1 20 2 22 5 See Table 1 of the document entitled "Report on the implementation of the National Statistical Development Strategy (NSDS) in 2010" on page 3.
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GROUP Administration Total
Statistician and Demographer Personnel Other staff
dem
ogra
phe
rs
ISE
ITS
/ IPT
S
TS /
TPS
ATS
Tota
l
Man
agem
ent
Seni
or
Supp
ort
Tota
l
3 MINPMEESA 12 1 1 11 11 MINCULT 2 0 1 1 2 DGNS 35 0 12 23 35 MINAS 10 0 10 10 MINJEUN 8 0 3 3 2 8 MINCOMMERCE 18 1 1 2 7 1 8 16 MINTRANSPORT 14 1 1 3 10 13 ARSEL 5 0 5 5 MINDAF 63 0 63 63 Total Group 3 190 1 1 2 1 0 5 135 37 13 185 Whole SNIS in 2010 1879 51 64 140 64 6 325 753 243 495 1554
Note: updated data for this table information will be available subsequently.
6.2 Material resources
Overall, public statistical services have adequate computing equipment, even if Internet access is not always available to staff. Transportation (cars) is often lacking, which hinders data collection. Finally, in some cases, premises are cramped and/or run-down. New INS offices are under construction by means of State equity, and should be operational by mid-2017.
6.3 Financial resources
As in most other countries in the sub-region, the implementation of a large number of statistical activities, including surveys and censuses, remains dependent on aid from foreign technical partners and financers. Despite the efforts of national authorities, funding for statistical activities remains insufficient.
7. PRODUCTION OF STATISTICS
7.1 Overview of production of statistics
As noted in Section 4.3, Cameroon's statistical production has improved in recent years, especially within the INS. However, it still suffers from insufficient coverage and the lack of a quality assurance framework.
7.2 Production of statistics by the INS
The INS is the main producer of official statistics in the country. Cameroon’s seeking to join the Special Data Dissemination Standard (SDDS) has led the INS to launch several projects aimed at developing new statistics. One such project is the development of an index of production prices, an index of construction costs, the expansion of the geographical scope of the consumer price index and in particular the development of quarterly accounts published regularly. Current publications (industrial production index, notes on foreign trade, national statistical yearbook, Cameroon in figures, etc.) are produced and distributed in a timely manner, with some minor delays due to problems with the availability of financial resources.
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In recent years, the INS systematic use of modern technology (tablets) for data collection, particularly during sample surveys6.
All statistical publications of the INS are available on its website.
7.3. Production of statistics by other structures of the national statistical system
Among the other structures of the national statistical system, the National Directorate of the Bank of Central African States (BEAC) appears to be the best equipped to produce its spring statistics; mainly monetary statistics.
Sectoral statistical production varies in quantity and quality, which has led to its classification into three categories (1, 2 and 3) according to the degree of development of information systems in place (see point 4.3).
8. PUBLICATION, DISTRIBUTION AND RETENTION OF DATA
The use of information and communication technology is becoming more widespread in public statistical services. Unlike some sectoral statistical services, the INS has its own website7 via which its main publications are available. As they do not have their own websites, statistical services are making efforts to publish on CD Rom or send publications electronically to key users.
Databases exist and are available online. This is the case with the following databases: Cameroon Social Data Base (CAMSED), Integrated Management Information System (IMIS).
Finally, concerning the storage and security of data, shortcomings remain, particularly among sectoral statistical services. An efficient policy must be developed for this purpose.
9. USER PERSPECTIVES
Users met had a good appreciation of the statistical system in Cameroon. They welcomed efforts to improve institutional organisation and functioning. However, they deplored the delays in the provision of certain statistical products, incomplete data coverage and poor disaggregation, and the absence of any detailed analysis of statistical data. The technical and financial partners supporting the development of the statistical system seek the establishment of a framework for the coordination of their actions and dialogue with national authorities.
10. FINDINGS
10.1 Strengths
10.1.1. Legislative, regulatory and organisational framework
• Existence of a law on censuses and statistical surveys (Law No. 91/023 of 16 December 1991) and an implementing decree (Decree No. 93/407/PM of 7 May 1993 setting forth the provisions of the law on censuses and statistical surveys). The decree establishes and organises the National Statistics Council (CNS), the coordinating body of the National Statistical Information System (SNIS). These two texts are being revised to reflect developments since their adoption;
6 BUCREP plans to use the PDA for the fourth General Census of Population and Housing (RGPH4), the population phase of which is set for 2016. 7 BUCREP also has a website.
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• Creation in 2001 of the National Institute of Statistics (INS), a public administrative institution, with legal personality and autonomous management, to replace the Directorate of Statistics and National Accounts (Decree No. 2001/100 of 20 April 2001);
• Regular meetings of the CNS since 2005;
• Existence of statistical units in most ministries;
• Creation in 2013 of a National Civil Registry Bureau set up to organise the collection, processing and dissemination of civil registry data in collaboration with the INS;
• Good relations between the INS, sectoral statistical services and users.
10.1.2. Good experience in strategic planning
• The first National Strategy for the Development of Statistics (SNDS) was developed and implemented over the period 2009-2013 with very satisfactory results. It subject to annual reports on implementation, a mid-term evaluation report and a final evaluation report, all of which have been reviewed by the CNS;
• A second SNDS covering the period 2015-2020 was adopted in June 2015 and was presented at a round table of donors in November 2015;
• Both SNDSs were developed to supply statistical information to the monitoring and evaluation mechanism of the Strategic Document for Growth and Employment (DSCE) 2010-2020. Development and public policy programs were therefore effectively taken into account during their preparation of development. An effort was made to align the current SNDS with the ODDs.
10.1.3. Good observation of the fundamental principles of official statistics
• Respect for the principles of scientific independence, impartiality, transparency and the confidentiality of statistical data throughout the SNIS.
10.1.4. Users willing contribute to improving statistics
• Good knowledge of their information needs;
• Regular participation in CNS meetings.
10.1.5. Satisfactory leadership of the INS within the National System for Statistical Information (SNIS)
• Existence of a capacity to respond to user needs in terms of macroeconomic, demographic and social statistics;
• Technical support for sectoral statistical services according to demand;
• Regular organisation of capacity building sessions for non-statistician management working within the SNIS.
10.1.6. Quality of SNIS human resources
• The Cameroonian SNIS has a significant number of trained statisticians and demographers (Cameroon has two regional centres for training in statistics and demography - ISSEA and IFORD- and systematic recruitment of graduates by the Cameroon Public Service). The government of Cameroon has always shown a strong political will to make statistical training a priority. Recruitment of statisticians and demographers by public services has never experienced
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disruptions, even during the period of structural adjustment. Despite the results, the need for statisticians and demographers is still far from satisfied. Finally, the number of middle-managers in statistics is insufficient compared to the number of senior managers.
10.1.7. Dynamism of INS technical services (production of statistics, distribution, standardisation and technical cooperation)
• Existence of regular publications (situation notes and reports, interim and final national accounts, quarterly accounts, satellite health accounts, business statistics, foreign trade analysis notes, statistical yearbooks, Cameroon in figures, etc.);
• Systematic publication of survey reports performed;
• Efforts for the development of new statistical products (price index for industrial production, construction cost index, expansion of the consumer price index across the rest of the country, etc.);
• Existence of ten regional INS offices involved in collecting current statistics and conducting surveys;
• Existence of regional statistical yearbooks;
• Improving access to information by regularly updating the INS website;
• Development, extension and update of technical coordination tools (classifications of activities, products, trades and professions, directory of statistical concepts and definitions, dictionary of statistical surveys;
• Development of a good statistical practice guide; specifications for the production and dissemination of statistics, etc.). These help to anchor the quality approach throughout the SNIS;
• Trials of new methodological approaches with unconventional activities: inventory of rural roads in collaboration with Ministry of Public Works engineers; local development index with the Ministry responsible for decentralisation, etc.
• Contribution to the development of the African Statistical System through partnerships with other countries and sub-regional, regional and international organisations to enable them to benefit from INS technical expertise.
10.1.8. Dynamism of certain sectoral statistical services
• Efforts for the regular publication of sectoral statistical yearbooks: ten sectors covered with the goal of reaching fifteen in 2016;
• Existence of a website within some sectoral services (such as agriculture) and BUCREP.
10.1.9. Good experience in conducting statistical surveys and censuses
• Performance of several surveys and censuses, including:
• Demographic and health survey (EDS) coupled with a multiple-indicator cluster survey (MICS) in 2012, and a Multiple Indicator Cluster Survey (MICS 4 in 2014);
• General Census of Population and Housing (RGPH3 in 2005 RGPH4 being prepared, census in 2016);
• Cameroonian Household Survey (ECAM, 4th edition 2014); • General Census of Businesses (RGE1 in 2009 RGE2 in preparation, data collection in 2016);
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• Survey of Employment and the Informal Sector (EESI2 in 2010); • Draft General Census of Agriculture and Livestock underway (data collection in 2016). • LACQ (MINEPIA)
10.1.10. Efforts for the archiving and dissemination of statistical data
• Efforts to update metadata within the General Data Dissemination System (SGDD);
• Micro-archived data (Toolkit), disseminated (NADA);
• INS website regularly updated;
• Existence of databases accessible from the INS website: Cameroon Social Data Base (CAMSED) Integrated Management Information System (IMIS);
• Practical steps already taken for Cameroon's accession to the Special Data Dissemination Standard (SDDS), including the appointment of the Director General of the INS as National Coordinator. An IMF mission is expected within this framework in early 2016.
10.1.11. Use of Information and Communication Technology (ICT)
• Progressive generalisation of the use of ICT for data collection (tablets) including consumer prices, ECAM and EESI surveys.
10.1.12. Support from technical and financial partners (PTF) in the development of statistics
• Good knowledge of development issues of statistics and the SNDS;
• Notable contribution of PTF to the financing of statistical activities including surveys and censuses.
10.2 Weaknesses
10.2.1. Disparate laws of public services and statistics and incomplete SNIS architecture
• Beside the INS and BUCREP, which have the status of public administrative institutions with legal personality and autonomous management, exist units with different statuses, ranging from a central administration to a cell, via a division within management;
• Moreover, despite recommendations made in the past, not all departments have a dedicated statistical unit yet.
10.2.2. Mandates of public statistical services
• Responsibility for implementation of the RGPH entrusted to a structure other than the INS, responsible for the technical coordination of the SNIS with all consequences entailed in the management of directories and survey databases.
10.2.3. Shortcomings in the operationalisation of statistical coordination
• Lack of specialised commissions within the CNS (these commissions will be created by the decree on the organisation of the CNS, currently under review);
• Ineffectiveness of regulatory provisions relating to the statistical visa (see Decree 93/407 / PM of May 7, 1993, Chapter II); a draft text to that effect has prepared;
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• Existence and/or risk of duplication in the implementation of certain operations (census mapping activities are planned for the RGPH4 to be conducted in 2016 by BUCREP, and for the General Census of Agriculture and Breeding 2016 which will be jointly conducted by the Ministries of Agriculture and Livestock;
• Insufficient ownership by sectoral statistical services of technical coordination tools developed par the INS).
10.2.4. Difficulties encountered in the implementation of the SNDS 2009-2013
• Delays in the implementation of certain activities under the SNDS action plan;
• Inadequate expertise in statistical programming in certain sectoral structures;
• Insufficient mobilisation of funds for implementation, including sectoral statistics.
10.2.5. Non-optimal allocation of statisticians within the SNIS
• Aside from the INS and BUCREP which are relatively well equipped with statisticians and demographers, many sectoral statistical services have very few statisticians (including sectoral structures in Class 3 of Public Statistical Services).
The appointment of statisticians and demographers is implemented by the Minister of Statistics without referring to the CNS secretariat provided by the INS, which centralises the needs of administrations in the field.
10.2.6. Inhomogeneity of statistician remuneration systems within the SNIS
• Remuneration of INS and BUCREP management is significantly higher than that of statisticians from other public statistical services, which does not promote the optimal allocation and mobility of statisticians within the SNIS.
10.2.7. Insufficient coordination of PTF work
• Lack of a specific framework for dialogue between the SSN and PTFs: this framework would not only ensure better coordination of PTFs but also better monitoring of the commitments of the latter and the state.
10.2.8. Shortcomings in data dissemination
• Lack of publication calendars for data made available to users;
• Delays in some current publications including sectoral statistical yearbooks;
• No press briefings upon the publication of the main current statistical publications or cyclical indices;
• Absence of legal provisions allowing access to anonymised individual data, including for analysis and research purposes (the draft revision of the law 91/023 remedies this);
• Absence of a functional communication unit within the INS.
10.2.9. Shortcomings in the coverage and disaggregation of statistical data
• Incomplete coverage of statistical data in certain sectors: health (problem with private structures); environment, youth and civic education, agriculture;
• Insufficient disaggregation of survey data at the sub-national level.
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10.2.10. Inadequate valuation of statistics
• There is still limited analysis of statistical data, particularly in among sectoral structures;
• Underdeveloped research component.
10.3 Opportunities
• Awareness of the Government of the importance and usefulness of statistics in the process of decision making and monitoring and evaluating the impact of development policies and programs;
• Sustained, diverse and strong demand for the production of statistical information, including the implementation of the DSCE, the tracking of ODDs and sectoral development strategies and programs;
• Existence of new opportunities: data revolution, new production technologies, processing and dissemination of data, new data sources and increasing interest from new actors (private sector, civil society, media, etc.) in statistics;
• Existence in Cameroon of two regional centres for the training of statisticians and demographers at high levels.
10.4 Threats
• Dependency on external resources which prevents the implementation of consistent programs and expertise in statistical activities to meet the priority needs of the country;
• Inadequate statistical culture in Cameroon.
11. RECOMMENDATIONS
11.1. Government commitment
• Strengthen political commitment to statistical development by increasing human and budgetary resources of SNIS structures.
11.2. Legislative, regulatory and organisational framework
• Accelerate the adoption of statistical law and regulations (decrees and orders), and the ratification of the African Charter on Statistics.
11.3. Statistical coordination
• Continue to support the sectoral services in preparing their annual work programs to allow the INS to develop PTAs for the entire SNIS for adoption by the CNS;
• Allocate sufficient funds to the INS for its regular sessions of the CNS and its specialised commissions.
11.4. Strategic programming
• Gradually reinforce the capacity of stakeholders involved in the development and implementation of the SNIS, in integrated strategic planning and results-based management;
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• Examine the possibility of creating a specific Government-PTF consultation group to strengthen the coordination of work and monitor the commitments of both parties.
11.5. Mobilising resources for financing major statistical operations
• Continue the Government's efforts to strengthen the human, financial and material resources allocated to the SNIS;
• Study the feasibility of establishing a Statistical Development Fund in accordance with the recommendations of the African Charter on Statistics;
• Consider means of institutionalisation, by legislative or regulatory text, of major statistical operations (censuses and large national surveys) to clarify the structures responsible for these operations and facilitate their programming and funding.
11.6. Quality approach and use of new technologies
• Conduct an evaluation of data quality in areas such as agriculture, health, education, and infrastructure, and develop a quality improvement plan in these areas;
• Gradually introduce and systematise the quality approach across all public statistical services;
• Continue the use of new technologies in the collection, processing and dissemination of data from surveys and censuses.
11.7. Improved coverage of statistical data, valuation data and analysis
• Continue and develop initiatives to improve statistical coverage in social areas (health, employment, informal sector, poverty) and emerging statistical areas including environment, infrastructure, the digital economy, and GPS (Governance, Peace and security);
• Better address the needs of decentralisation and gender issues in the design of statistical surveys and data analysis;
• Promote the in-depth analysis of available statistical data to facilitate their use in decision making. To this end it is first necessary to strengthen user capabilities including in public administration and establish partnerships with research centres and statistical training centres (IFORD and ISSEA).
11.8. Promotion of administrative sources of statistics
• Encourage the collection and processing of common data produced by public and private administrations;
• Operationalise the National Civil Registry Bureau by providing resources (human, material and financial) for proper functioning.
11.9. Statistical dissemination, archiving and security of data
• Continue and generalise the dissemination of data electronically and the online publication of available statistics;
• Ease procedures for access to databases;
• Encourage the development and publication of schedules for current statistical publications and ensure compliance;
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• Encourage the development of policies on external communication and the dissemination of official statistical agencies to improve their visibility and awareness of their products (in particular create a communication unit within the INS, charged with the organisation of regular press releases to present statistical publications);
• Generalise the archiving and securing of statistical data by means of IT;
• Promote the sharing of databases and survey data within public statistical structures.
11.10. Human resources
• Involve the INS as CNS Secretariat in the allocation of statisticians and demographers in public statistics structures to achieve a better allocation of human resources within the SNIS;
• Train more mid-level statisticians;
• Develop and implement a training plan and continue to enhance it for SNIS staff;
• Performance of a feasibility study of centralised INS management by statisticians and demographers.
11.11. Promoting statistical culture
• Develop and implement a training program for users to promote better expression of their needs, a greater use of available statistics and the development of a statistical culture in the country.
11.12. Other recommendations
• Make arrangements for the implementation of the recommendations of the 2011 SNIS institutional audit; include:
• Recommendation 8 reads: “budget allocations to ministries’ statistical entities should be subject to individualised lines. The INS should be able to support other SNIS members NHIS during budget discussions";
• Recommendation 9 reads: "the execution of large statistical operations (censuses, surveys of structures, files or directories mainly for statistical use) should be entrusted to the INS. In this light, the BUCREP founding decree should be revised".
• Strengthen capacity in terms of the resources of regional INS agencies (upgrade equipment; provide better access to the internet).
11.13. Monitoring mechanism for the implementation of the peer review recommendations
• Present the final report of the peer review to the CNS;
• Ensure regular monitoring by the CNS of the implementations of the peer review recommendations (annual reports to be prepared by the INS).
APPENDIX 1: COMPOSITION OF THE MISSION
Full names Title / Position Country / Organisation E-mail
Ousmane Abdoulaye HAGGAR General manager INSEED / Chad [email protected]
Aboubakar Sedikh BEYE General manager ANSD / Senegal [email protected]
Hamadou BOUBAKARI director DSE / MPCI / Chad
Djibril DIONE Deputy director DPEE / SBPB / Senegal
Elhadj Oumarou Malam SOULE Expert AFRISTAT [email protected]
Gildas Crépin NZINGOULA Expert African Union Commission [email protected]
Rudolphe PETRAS Programs Coordinator PARIS21 [email protected]
Lamine DIOP Consultant PARIS21 [email protected]
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APPENDIX 2: LIST OF PEOPLE MET
Full names Administration Phone E-mail DGPAT/ MINEPAT
Jannet OUM ELOMA DGPAT / MINEPAT
[email protected] Hervé Lys KWADJO SPPD / MINEPAT 2222311150
Yves TCHOUALAK DGP / MINEPAT 672327103 [email protected] Sévérin TCHOMTHE INS 677670969 [email protected]
Department of Synthesis and Analysis
NEPETSOUN DSA +237677169056 [email protected]
Revi A.B. AMOUGOU Head of Business Cell [email protected] Marius KAMSU KAGO Assistant Head of Studies [email protected]
Department of Economic Statistics Jean Pierre WALEO INS / EHR / D2 [email protected] Ferdinant FANDO TICHABO INS / EHR / SPC [email protected]
Patronage: GICAM Nacisse CHASSEM T. GICAM [email protected]
MINJUSTICE
Charles Martial SALLA MINJUSTICE 699 30 94 24 [email protected]
Anicet ONDOA NGONO MINJUSTICE 699 92 16 80 [email protected] MINEDUB
Claude TCHONANG Department of Basic Education 699 59 19 42 [email protected] MINJECT
Ms. Sandrine MBELE MINJECT 671091443 [email protected] Serge SANDTOUNGOU MINJECT 699608440 [email protected] Celestin SEYI MINJECT 677573114 [email protected]
UNICEF
Felicity TCHIBINDAT UNICEF Representative (237) 222 22 03 93 [email protected]
DDS Anaclet Désiré DZOSSA INS / DDS / D1 / EC1 699952188 [email protected] Ms. Marie Antoinette FOMO INS / DDS / D1 / EC2 677634580 [email protected] Paul R LIBITE DDS / INS 674620182
DCR Bernabe OKOUDA INS / DCR Christophe KANA INS 677315266 [email protected]
Christophe TATSINKOU INS 675624653 [email protected]
Olivier TCHAMAGO INS 699953499 [email protected] Vincent ESSAMBE BOOM INS / DCR 677984574 [email protected]
Ambrose ABANDA INS / DCR 677604526 [email protected]
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Full names Administration Phone E-mail Séverin TCHOMTHE INS 677670969 [email protected]
DIB/ DAF Martin MBA DIB 699925675 [email protected] Guy NDEFFO DIB 699838051 [email protected]
DGPIP / MINEPAT Jean Pascal NKOU MINEPAT / SBD 699551071 [email protected]
Lamine DIOP PARIS21 consultant +221775107650 [email protected]
Paulin MENDO MINEPAT / SBD 677869607 [email protected] Damase NOUSSI METSAKEU MINEPAT / DAGEPIP 677202472 [email protected] NTSAFACK N. BOREL MINEPAT / SBD 675752181 [email protected] Séverin TCHOMTHE INS 677670969 [email protected]
DIB/ DAF Martin MBA DIB 699925675 [email protected] Guy NDEFFO DIB 699838051 [email protected] Romain TCHAKOUTE NGOHO DIB 699215088
Djibril DIONE DPEE / SBPB 00221 775 30 April 62 [email protected]
Jean FOBASSO DAF 222222573 [email protected] Maurice NKAM DIFFO DAF / SRH 677598541 [email protected]
IFORD Pr EVINA AKAM DE / IFORD 677986008 [email protected] Pr Honoré Minche DRCAT / IFORD 677400646 [email protected]
Prof. Gervais BENINGUISSE I / C
675 December 19 15 [email protected]
Dr. Helene KAMDEM DEF / IFORD 699993853 [email protected] Rachl AKON MBIA AD / Director 674530685 [email protected] Dr Didier NEANAWARA EC / IFORD 696910503 [email protected] Franklin AWUNG CCRD 675567369 [email protected] Kouassi SEKE OF SYG Assistant R 675 32 86 69 [email protected]
Marie NGAMOUGOU SOP Communication 699 15 June 60
DDS Paul R LIBITE DDS / INS 674620182 [email protected] Rosalie NIEKOU DDS / D2 / EC1 / INS 699955870 [email protected] Anaclet Désiré DZOSSA INS / DDS / D1 / C1 699952188 [email protected] Ms. Marie Antoinette FOMO INS / DDS / D1CE1 677634580 [email protected] Geoffroy Casimir KETCHOUM NGAHANE INS / DDS / D2 / EC2 / CEA2 677116191 [email protected]
MINADER - DSA Ms. Jeanine ATANGA NKODO MINADER 677784003
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Full names Administration Phone E-mail
Ms. Emmanuel BODO MINADER / DESA / SDEES 654977666 [email protected]
Mr William MBINAH MINADER / DESA / CAR 655572472 [email protected]
Mr Christophe Jolly AKOULONG CSSRA / DESA 675 46 85 00 [email protected]
MINSANTE Aboubacar Sedikh BEYE ANSD
Dr. Maurice Fezeu MINSANTE 695 11 August 52 [email protected]
DAE / MINFI
Lazare BELA Ministry of Finance 222222881 [email protected]
MANDENG Head of FP Division 67775739 [email protected]
Emmanuel YANGAM MINFI, Division Head 698662954 [email protected]
Bekono OHAMBA ER Division Head 699105481 [email protected] Aninov MOHAMADOU CE / MS / AED 699621714 [email protected]
debriefing session with the CEO of INS
Joseph TEDOU INS / CMR +237 699890103
Bernabe OKOUDA INS / CMR / DCR +237699934330
Working meeting with the Heads of Departments Paul R LIBITE DDS / INS 674620182 Jean FOBASSO DAF 222222573 [email protected]
NEPETSOUN INS / DSA +237677169056 [email protected]
Martin MBA INS / DSA 699925678 [email protected] Séverin TCHOMTHE INS / DCR / D2 / EC2 677670969 [email protected]
Christophe TATSINKOU INS +237675624653
Olivier TCHAMAGO INS / DCR / D1 / EC2 +237674008887 [email protected]
Ambrose ABANDA INS / DCR / D1 677604526 [email protected]
Jean Pierre WABO INS / EHR / D2 BUCREP
Ms. Bernadette MBARGA DG BUCREB
Séverin TCHOMTHE INS +237677670969 [email protected]
Ms. Marie D. NYELE ABANDA BRUCEP Ohipo ABESSOLO BRUCEP 677498620
Esther C. EYINGA DIMI BRUCEP 678 71 August 94 [email protected]
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Full names Administration Phone E-mail TEKE JOHNON TAKWA BRUCEP 677820331 [email protected] Etinzoh Hervé Joël EFON BRUCEP 699807978 [email protected] Abdoulaye Kosni HAMADOU BRUCEP 675517669 [email protected] Roman DAYANE BRUCEP 699243304 [email protected]
ISSEA
Jeannot NGBANZA ISSEA +237699834255 [email protected]
Dieudonné KINKIELELE ISSEA +237677765842 [email protected]
Jean Cleophas ONDO ISSEA +237670940590 [email protected]
NALEM KABO ISSEA +237675054440 [email protected]
Symplice NGAH NGAH ISSEA +237675084969 [email protected]
Working meeting with delegates of the NSI staff Felix TABUE SCL / INS 677107395 [email protected] Patrice Hilaire TSAKEM SCL / INS 678200084 Fabien MAVASSI BIBANGA DCR / INS 677282066 [email protected] Olivier TCHAMAGO DCR / INS 699953499 [email protected] Marie Antoinette EBA ESSONO DC3 / INS 699076485 Vincent Ledoux ESSAMBE BOOM DCR / INS 677984574 [email protected]
Representative of the press Evelyne OWONA ESSOMBA
Vice President of the UPF (Union of Francophone Press) 677107395
