report on the regional capacity building workshop on...
TRANSCRIPT
United Nations Economic African Development African UnionCommission for Africa Bank Commission
African Centre for Statistics Department Department of Economic Statistics Affairs
Report on The Regional capacity building workshop on writing metadata for
development indicators
Lusaka, Zambia
30 July - 3 August 2012
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Table of contents
1 Background.......................................................................................................................................... 3
2 Objectives of the workshop................................................................................................................4
3 Partnership and participants.............................................................................................................. 5
4 Proceedings......................................................................................................................................... 6
5 The way forward.................................................................................................................................18
6 Conclusion......................................................................................................................................... 19
Annex 1: Evaluation of the workshop.......................................................................................................20
Annex 2: Workshop Program (English-speaking countries)..................................................................21
Annex 3: List of participants..................................................................................................................... 23
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1 Background
The need for accurate and timely statistics for monitoring progress towards Millennium
Development Goals (MDGs) and other internationally agreed development initiatives has
pressed the African countries to produce them at much more frequent intervals now than
ever before. These recent efforts has also given African countries the opportunity to
strengthen the capacity of their statistical system to deliver reliable and timely
information for evidence-based policy and programme formulation and for monitoring
progress towards development goals including the MDGs.
There have been a number of initiatives at the international, regional and national levels
towards strengthening national statistical capacities in order to improve collection,
compilation and dissemination of reliable and timely data on these indicators. Despite
these efforts and progress made in this direction, African countries are facing many
challenges in timely and reliable production and reporting of data on MDG indicators.
One such challenge is the discrepancies between the data obtained from international and
national sources. The causes that lead to such discrepancies are well identified and
documented with reasons including variation in concepts and definitions, different data
compilation/estimation methodologies, limited coordination between data producers and
data gaps.
The Inter Agency and Expert Group (IAEG) which at the international level is
responsible for compilation of data on MDG indicators have recognized and emphasized
the need to improve transparency and ensure better coordination with a view to
understanding of the processes and methodologies adopted in compilation of international
data and take steps for reconciliation. One solution is for the countries to write clear and
concise metadata for all data on MDG indicators for all the data that they put in public
domain. The second International Conference on MDGs Statistics held in Manila in
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October 2011 recommended – ‘National statistical systems to improve the compilation of
metadata in countries and their accessibility by users’.
The third Session of the Statistical Commission for Africa (StatCom-Africa III) held in
Cape Town in January 2012, requested the Africa Group on Development Indicators
(AGDI) to develop metadata standards on development indicators and improve capacity
of countries to write proper metadata by exploring the possibility of applying systems
such as the Statistical Data and Metadata Exchange (SDMX).
The African Centre for Statistics (ACS) in UNECA is improving its database (Statbase)
to make it now possible to display both national and international indicators in order to
highlight and understand the causes of discrepancies between these two sources. It will
also provide with metadata for each data point for country data so as to better understand
and appreciate the differences in international and national data sets.
Keeping the above background in view the UNECA in partnership with African
Development Bank and African Union Commission organized two back to back
workshops (one for Anglophone countries and one for Francophone countries) to develop
capacities of the countries to write metadata on development indicators. The Workshop
also acquainted the participants with a tool like SDMX.
The workshop was held at Protea Cairo Road Hotel in Lusaka, Republic of Zambia.
2 Objectives of the workshop
The main objective of this workshop is to build capacity of countries in writing metadata
for the development indicators with a view to improving data quality and resolve
discrepancies of statistical data observed within countries as well as between national and
international sources.
3
3 Partnership and participants
The workshop was jointly organized by the United Nations Economic Commission for
Africa (ECA), the African Development Bank (AfDB) and the African Union
Commission (AUC) in close collaboration with the Central Statistical Office of the
Republic of Zambia.
On the side of the ECA, the workshop lies within the framework of the Development
Account MDGs interregional Project that the African Centre for Statistics (ACS) of
UNECA, as a beneficiary, is in charge of carrying out the project activities in the Africa
region. In this respect, the African Centre for Statistics (ACS) ensured the overall
coordination of the organization of the workshop. Furthermore, ECA hired a consultant
who wrote the draft Guide on writing metadata for African countries and facilitated the
workshop and also covered the cost of participation of 14 participants. Costs of the
Venue and the simultaneous interpretation and equipment including computers,
photocopiers, printers and data projector were also covered by the ECA. The AfDB
covered the cost of participation of 38 experts. The AUC sponsored 1 Regional Economic
Community. As the host institution, the Central Statistical Office of the Republic of
Zambia provided free shuttles from the airport to the hotel and vice versa for all
participants.
Actually, the workshop consisted of back-to-back workshops of two groups of experts:
the first workshop for English speaking countries from 30 July to 1st August 2012; and
the second one for French speaking countries from 1st to 3 August 2012. Overall, the
meeting was attended by 69 experts, representatives of 46 African National Statistical
Offices, one Regional Economic Community and the three panAfrican institutions.
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4 Proceedings
Opening ceremony
Mr. John Kalumbi, Director General of the Central Statistical Office of Zambia
welcomed all participants and underlined the importance given by countries to the
production of quality and reliable statistics. He also outlined the statistical activities and
programmes undertaken by Zambia.
On behalf of the ECA, Ms. Beatrice Kiraso, Director, UNECA SRO-SA delivered the
opening statement in which, she welcomed and thanked all for their participation into this
workshop; she then mentioned that the participation is a testimony to the importance that
African Governments and Organizations place on the value of statistics in decision
making and planning. She concluded by commending the strong partnership established
by the ECA, AfDB and AUC for delivering support to statistical activities in the
continent.
Mr. Maurice Mubila, representative of the African Development Bank (AfDB), stressed
the crucial need for quality data and the necessity to solve discrepancies within countries
and between countries and international sources. He informed about the new AfDB
statistical programme which has a tremendous focus on statistical capacity building
programme for the two coming years.
Mr. Yeo Dossina, as a representative of the African Union Commission (AUC),
underlined the process of harmonizing statistics in Africa within the agenda of
continental integration initiated and backed by African Heads of States.
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Substantive sessions
Session 1:
As an introduction to the workshop, the first presentation focused, primary, on the objectives
and the agenda of the workshop, and then, on the participants’expectations and finally, on the
organizers’ expectations.
After adoption of the workshop work programme, participants stated the followings as their
expectations:
To learn a standard format of writing metadata;
To have data warehouse in managing metadata;
To solve problems of discrepancies between national and international data
sources;
To have a better knowledge in how to produce and disseminate better metadata;
To have tools to apply what they learn;
To be able to develop skills of other data producers in their respective countries;
To get managerial support in issues related to metadata;
To have a guidance on how to customize MDG metadata to reflect national
practices;
To learn more about the international standard, SDMX; and
To know how to build on the efforts NSOs have already started.
The pan African institutions’ expectations can be summarized as follow:
Importance of metadata will be appreciated by countries;
Capacities of experts dealing with MDGs monitoring will be developed;
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National and regional database on development indicators will include metadata;
and
Creating awareness of participants by introductory SDMX.
The next sessions were devoted to the content of the Guide on writing metadata for
development indicators presented by the facilitator.
The first session presented the importance of metadata with a view of introducing
participants to the main types of metadata, discussing its value and why it is particularly
important for development related data.
Defining the metadata, the guide cited the African Charter for Statistics: “Metadata: the
range of information, generally textual, that fosters understanding of the context in
which statistical data have been collected, processed and analysed with the objective of
creating statistical information…” Simply metadata is data that defines or describes
other data.
The guide identified two major metadata families:
Structural metadata identify and describe data, so it can be identified and
retrieved. For example, names of columns or dimensions of database cubes.
Reference metadata describe the contents and quality of the statistical data. There
are three types of reference metadata:
a) Conceptual metadata, describing the concepts being measured;
b) Methodological metadata, describing the methods used to generate the data,
such as sampling and collection methods; and
c) Quality metadata, describing the quality dimensions of the data, such as
timeliness and accuracy.
However, the present guide focuses on the reference metadata.
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Then after, participants have been tasked to undertake a pre-workshop evaluation to
gauge their knowledge of metadata. The result highlighted that participants have a fair
knowledge of metadata and its key roles in improving the quality of reported statistics.
Session 2:
“Producing and managing metadata” illustrated the role of metadata throughout
statistical production processes and systems as well as standards needed to manage
metadata. Some concrete examples on how other countries or institutions are managing
metadata and provide resources for further development have been presented.
The guide provides countries with international standards and directs the subject matter.
There are several standards related to statistical metadata management that national
statistical systems should at least be aware of, and possibly implement as part of their
own systems and information management practices. In this regard, the Common
Metadata Framework, an online repository of resources maintained by the United
Nations Economic Commission for Europe (UNECE), can also be of good help.
Metadata standards and tools
The international statistical community has made significant efforts to develop shared
metadata standards and models. Key standards include:
Statistical Data and Metadata Exchange (SDMX);
Data Documentation Initiative (DDI); and
Metadata Common Vocabulary (MCV).
In Africa, some countries like Uganda, South Africa, Kenya and Burundi are doing well
in terms of metadata production; for example, the Ugandan Bureau of Statistics (UBOS)
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produced reference documents on concepts, definitions and classifications that are used
by the Uganda National Statistical System.
Session 3:
This session reviewed and discussed examples on how metadata are presented in national
and international reports and databases. Participants have been informed about the
recommendations made for mandatory, conditional and optional metadata that should
accompany data presented in reports. These recommendations stem from work currently
being done by UNECE on metadata for MDG indicators, the results of which are
expected to be published in early 2013.
The mandatory metadata to be presented with data in tables, charts and databases
include:
Title describing data being presented;
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Data provider (organization which produced the data); and
Statistical concepts and definitions.
The conditional metadata encompass:
Notes to explain any comparability issues;
Source data (i.e. nature of primary source, such as a particular survey); and
Symbols or abbreviations.
The optional metadata contain:
Accuracy (e.g. degree of variance or error);
Contact information; and
References / Relevant links.
In addition, metadata describing an overall data series can be published to guide data
users. This can be presented in a format similar to that used by the United Nations for
reporting on metadata on MDG indicator:
Name of data series;
Goal and target addressed;
Method of computation;
Definition;
Rationale;
Sources and data collection;
Gender issues;
Comments and limitations; and
Availability.
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The guide to writing metadata that was prepared for this workshop provides descriptions,
examples and templates for writing each of these metadata elements.
Session 4:
During this session, participants were tasked to work, in groups, on their own data sets,
reports and publications to enable them to write metadata in a predefined format.
The Mandatory, Conditional and Optional categories of metadata were well discussed.
After group exercise in writing metadata, the discussion point was “challenges in writing
metadata”:
The challenge depends on specificities of country situations;
Line ministries should collaborate with NSO in publishing their report; and
Presentation of metadata not only on printed documents but is also required in
online database.
Hans Rosling video was played and has got good reception by experts. This video
showed how statisticians could address their statistics to a broad audience who may have
limited expertise in interpreting and using statistics.
Session 5:
The plenary session that followed the session 4 was devoted to challenges in writing
metadata based on the experience they learned from writing metadata. Group discussion
pointed on:
i. Main challenges within national statistical offices in terms of producing
metadata
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South Africa has gone a long way to reach the point where there is no
publication coming out without the accompanying metadata; they have also
quality assessment criteria for publications to certify as an official statistics;
Kenya is working with UNSD on MDGs using standard international
definitions to avoid discrepancies by using the standard international
definitions and is improving in harmonization of offices across different
ministries;
Uganda has initiated the metadata dictionary under NSDS program with a
technical committee to discuss concepts and definitions; for this purpose,
they have made use of the IMF and MDG metadata formats;
Similarly, Ethiopia is working with the World Health Organization to
harmonize health indicators.
No policy in many countries enforcing metadata as a requirement;
One unit in the NSO assumes the other unit knows what the data is about;
Lack of documentation from the suppliers of data;
Statistical offices are not coordinating the data production in different sectors
with in the respective countries; different ministries undertake surveys
without the proper consultation and collaboration of the NSO; and
There needs to be agreement on the list of identified indicators.
ii. Main challenges external to national statistical offices
International organizations are using non official data; there should be closer
interaction between NSO and international organizations.
Session 6:
This session was devoted to practical exercises on writing metadata. Participants worked
in pairs.
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Session 7:
The last Session was devoted to the Action planning.
The participants worked in small groups and proposed a draft action plan for improving
the production, management and dissemination of statistical metadata. The proposals
provided a comprehensive list of priority activities and recommendations that can be
followed to formulate regional and national action plans with a view of building capacity
in metadata management.
So, at national level, the following recommendations have been made:
To convince management about need for action;
To create awareness about importance of metadata;
To establish a technical working group on metadata;
To develop metadata framework and strategy;
To create a metadata-friendly culture;
To develop standards and produce metadata tools (e.g. national compendiums,
guidelines, templates);
To produce a training manual;
To train statisticians / other data producers in writing metadata;
To collect, edit and compile national MDG-related metadata from across the NSS;
To disseminate metadata (hard and soft copy);
To organize user-producer workshops to get feedback;
To create a data quality assessment framework; and
To ensure that the Guide is used by the NSS.
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Addressing their recommendations to the regional organisations, participants stated the
followings:
To campaign for action and convince heads of NSOs;
To agree on a minimum standard for writing metadata;
To translate metadata guide into other languages (French, Portuguese and Arabic);
To organize in-depth training on SDMX (train the trainer);
To organize further training on metadata;
To collate national metadata at the regional level;
To create technical committee to review metadata and provide feedback to NSOs;
To compile and publish regional metadata;
To conduct needs assessment to identify gaps in statistical capacity;
To produce a standard set of indicators, AU handbook and legislation; and
To build adequate capacity in implementing a quality framework statistics.
The panAfrican institutions pledged to finalize the action plan and submitted it to
countries.
SDMX SESSION
On Wednesday 1st August 2012, both English and French speaking experts gathered for
introductory Training Session on Statistical Data and Metadata Exchange (SDMX)
Program. It has been noticed that SDMX is not well understood by a number of
participants. Therefore, the pan African institutions were requested to organize a special
workshop on the SDMX.
The half-day session covered the following topics:
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i. Overview of SDMX
What is SDMX? Main elements of the standard;
Why do we need it?
What does it do? Goals of the SDMX standard.
ii. Applications of SDMX
Who uses it and what for?
How can African countries use it?
What does it mean for me?
On the same day, the African Development Bank presented on the Managing Metadata
at AfDB.
In this presentation, the AfDB stressed the reason why it invests in metadata technology
and the constraints they are facing. By investing on metadata, they targeted to meet the
following objectives:
Reduction of human intervention in improving the data collection templates and
increasing automated data capture;
Improvement of data quality in better informing about data produced; and
Value addition in development effectiveness agenda of the Bank & Regional
Member Countries.
Then the presentation highlighted the data collection process which is feeding the African
economic outlook and the African statistical yearbook and the six satellite databases: i)
Macroeconomic Indicators; ii) External Sector, Debt and Financial Flows; iii) Social
Database; iv) Agriculture and Environment; v) Private Sector Development and
Infrastructure; and vi) AfDB Operation Database.
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The major challenges were on data coverage and timeliness. The AfDB is working on
improving the online access of data and new data collection system that allows an
automated data collection and management tool. The institution is also expanding its
resources through the Statistical capacity building programme 3.
The AUC presented the Strategy for Statistical Harmonisation of Statistics in Africa
(SHaSA). The presentation highlighted the vision of the strategy that is to inform
evidence-based decisions by providing harmonized quality statistical information on the
economic, political, social and cultural environment. The strategy lies within the process
of socio-economic, political and cultural continental integration agenda which is a pivotal
goal of African Heads of State and Government.
The presentation recalled the current situation marked by:
Lack of quality and updated data to produce Africa MDGs Report, Economic
Report on Africa, Monitoring of Africa Integration Agenda; and
Lack of institutional capacity, low profile of statistics on the continent, inadequate
coordination of statistical activities, and minimal consideration of African
specificities in setting up international standards.
The vision of the SHaSA lies on the following four pillars:
To produce quality statistics for Africa;
To coordinate the production of quality statistics for Africa;
To build sustainable Institutional capacity of the African Statistical System; and
To inculcate a culture of quality decision-making.
Then after, the presentation listed the technical groups and their respective leaders and
members.
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The presentation ended by informing about the statistical governance in Africa and
Integration areas and existing initiatives.
Visit to Central Statistical Office of Zambia
The participants paid a visit to the Central Statistical Office of Zambia on Wednesday 1 st
August 2012 in the afternoon. It was an opportunity for the Director of the CSO Zambia,
Mr. John Kalumbi, in the presence of all Chiefs of divisions of the CSO, to reiterate the
welcome to all participants. He presented the CSO and its structure and activities.
Discussions have been done on the NSDS and the coordination of the National statistical
system. Participants thanked the CSO for the hospitality and its contribution to the
success of the workshop. Then, participants have been presented the ongoing
construction of the new CSO building.
5 The way forward
ECA committed to finalize the draft Guide on writing metadata for development
indicators and to translate it into French. The ACS will also animate a discussion forum
on development indicators by establishing a Community on development indicators
through the ECA African knowledge sharing platform.
The African Union Commission (AUC) and the Central Agency for Population
Mobilization And Statistics (CAPMAS-Egypt) committed to translate the Guide into
Portuguese and Arabic respectively.
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The participants urged on more capacity building on metadata writing and SDMX; the
pan African institutions will consider organizing training sessions on metadata and
SDMX.
6 Conclusion
Countries emphasized the importance of the following:
Creation of awareness on the importance of metadata and a lot more to be done in
this regard;
To bring metadata into the attention of top management of the NSO to include it in
the business process;
Capacity building program to help in harmonizing activities in different
government offices;
Having quality control mechanism for publications to certify as an official
statistics by the NSOs;
A policy under the NSDS program be in place to enforce metadata as a
requirement for dissemination of data;
Having one unit in the NSO that assumes the writing of standardized metadata by
making use of the IMF and MDG metadata formats; and
Strong commitment to include metadata in all publications and databases.
The results of the evaluation reveal that pre-workshop evaluation average score was 5.3
(out of 12) and it increased to 8.9 for the post-workshop evaluation.
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Annex 1: Evaluation of the workshop
Ranking levelsItems 5 and 4 5
Good4 3 2 1
PoorResponse Rate
Overall content of all sessions 88% 49% 39% 10% 2% 0% 98%
Coverage 83% 48% 35% 15% 2% 0% 96%
Quality of handouts e.g. workshop papers
87% 44% 43% 10% 2% 0% 100%
Quality of audio-visual aids 83% 50% 33% 15% 2% 0% 100%
Quality of presentations 93% 50% 43% 8% 0% 0% 100%
Amount of discussion and participation
87% 44% 43% 15% 0% 0% 100%
Sharing of experience among participants
82% 43% 40% 19% 0% 0% 98%
Time management 72% 50% 22% 25% 2% 0% 100%
Quality of facilitation 87% 54% 33% 13% 0% 0% 100%
Duration of the workshop 52% 22% 30% 32% 14% 5% 90%
Satisfaction and timeliness of travel/DSA arrangement
61% 26% 35% 20% 14% 5% 92%
Overall planning and organization of the meeting
72% 40% 32% 22% 4% 0% 94%
Conference facilities 67% 40% 26% 27% 2% 2% 94%
Do you think the workshop achieved your objectives?
72% 37% 35% 28% 2% 0% 98%
From this table, it is clear that the workshop was a success. The main challenge mentioned by the participants was the duration of the workshop.
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Annex 2: Workshop Program (English-speaking countries)1
30 July Monday
08:30 – 09:15 Arrival and registration
09:15 – 09:45 Opening of the workshop
09:45 – 10:30 IntroductionOverview of workshop, introductions and participants’ expectations
10:30 – 11:00 Coffee break
11:00 – 12:30 Session 1 – Importance of metadataAn overview session that introduces participants to the main types of metadata, discuss its value and why it is particularly important for development related data.
Individual activity: pre-workshop testA short test to gauge participants’ familiarity with metadata issues and concepts, which will provide a benchmark to measure what they learn from the workshop.
12:30 – 13:00 Session 2 – Producing and managing metadataA look at the role of metadata throughout the statistical production process and the systems and standards needed to manage metadata. Metadata management is a cross cutting area and requires particular expertise. Rather than going into detail, this session will look at some examples of how other countries are managing metadata and provide resources for further investigation.
13:00 – 14:00 Lunch break
14:00 – 15:30 Session 3 – Presenting metadataReview and discuss examples of how metadata are presented in national and international reports and databases. Recommendations for mandatory, conditional and optional metadata will be provided along with a template for preparing metadata on development indicators (using categories from UN MDG Handbook as a guide).
Group activity: Participants will work in small groups to review examples and consider the types of metadata that are needed to interpret the data accurately.
15:30 – 15:45 Break15:45 – 16:30 Session 4 – Practice writing metadata
The participants will have brought their own data sets, reports and publications to enable them to write metadata in a predefined format (i.e. template introduced in Session 3). The participants will work on their own laptops to draft metadata for 1-2 selected indicators.
16:30 – 17:00 Participants work in pairs to review and discuss their approach and lessons learned.
1 The French programme starts with SDMX on the 1st August 2012 and lasts untill 3 August 2012.
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31 July Tuesday
09:00 – 09:30 Review Day 1 – ask participants to reflect on what was covered during Day 1
09:30 – 10:00 Session 5 – Challenges in writing metadataDiscuss lessons learned from writing metadata; what were the particular challenges and how could these be overcome?
10:00 – 10:30 Coffee break10:30 – 13:00 Session 6 – Practice writing metadata
Participants to continue working on drafting metadata for 3-4 more of their main development indicators.
Working in pairs, participants review each other’s work and provide feedback to improve the metadata.
13:00 – 14:00 Lunch break14:00 – 15:45 Session 7 – Action planning
Working in small groups, participants discuss the actions required to improve the production, management and dissemination of statistical metadata. This will provide a comprehensive list of activities that can used to formulate regional and national action plans to build capacity in metadata management.
Groups present the results of their work and it is discussed in plenary. The outcome will be an agreed list of priorities and recommendations for capacity development across the region.
15:15 – 16:00 Break16:00 – 17:00 Review Day 2
Summary and next steps
1 August Wednesday
10:00 – 13:00 Training on Statistical Data and Metadata Exchange (SDMX) Program(English and French speaking countries)
10:00 – 13:00 Lunch break10:00 – 13:00 Visit at Central Statistical Office of Zambia
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Annex 3: List of participants
No. Title Full Name Designation Address Country Telephone1 Telephone2 Email1 Mr. Carlos Firmino Pedro INE, Luanda Angola 244 923 617901 [email protected] Mr. Essessinou Aboudou
RaimiStatisticiaen Economiste INSAE, 01 BP 323, Contonou Benin 229 213 08244 229 976 21047 [email protected],
[email protected] Ms. Mpho Keboi Statistician Statistics Botswana Botswana 267 718 23885 [email protected] Mr. Sehakgamaleng Portia
MaboteStatistician Statistics Botswana 267 393 4968 267 72 446864 [email protected],
5 Mr. Joseph Butoyi Chief of Division National Bureau of Statistics Burundi 257 799 35161 [email protected] Mr. Christophe Tatsinkou Statistician Institut National De la
Statistique, BP 134, YaoundeCameroon 237 22 220445 237 75 624653 [email protected]
7 Mr. OrlandoSantos Monteiro
National Statistics Office Cape Verde 238 2613827 238 99 85186 [email protected], [email protected]
8 Mr. Serge Saint Eloi Matchinide
Institut Centrafricain de Statistiques et des Etudes économiques et sociales
Central African Republic
236 21 617261 236 75 619250 [email protected]
9 Mr. Tinro Raoul Mbaiogoum
INSEED Chad 235 22 523164 235 66 296402/90
10 Ms. Anfaita Achirafi Chief of Service Direction Nationale de la Statistique
Comores 269 334 7855 [email protected]
11 Mr. Theophile S. Bassissila Statistician CNSSE Congo Brazaville
242 055 827338 242 066 666294
[email protected], [email protected]
12 Mr. Christian Tape INS Cote d’Ivoire 225 07 256053 [email protected] Mr. Sekou Tidian Konate Statistician Direction de la Statistique,
DISED, BP 1846Djibouti 253 778 13322 253 77813322 [email protected]
14 Mr. Godefroid Sinzidi Kabuki Economiste/Demographe INS RDC, Kinshasa DR Congo 243 9999 44158 [email protected]
15 Mr. Alam Mohamed Abdelkader
Senior Statistician CAMPAS, 3 Salah Salem St., Nasar City,
Egypt 202 240 24393 201 003353929 [email protected]
16 Mr. Teshome Mergia Tadesse
Senior Expert Central Statistics Authority, P.O. BOX 1249, LaftoSubcity, Woreda 02, Addis Ababa
Ethiopia 255 11 576903 251 911 889992
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No. Title Full Name Designation Address Country Telephone1 Telephone2 Email17 Ms. Minette Ntsame DGSEE Gabon [email protected] Ms. Mam-Yassin Ceesay Statistician Gambia Bureau of Statistics,
Kanifing institutional Layout, P.o. BOX 3504, Serrekunda
Gambia 220 3723133 220 75 284646 [email protected]
19 Mr. Johnson Dagua Owusu Snr. Statistician Ghana Statistical Service Ghana 233 244 440421 [email protected], [email protected]
20 Mr. Sanyon Oulaye Ministère Du Plan/Institut National de La Statistique, INS
Guinea 224 30 414567 224 64 783385 [email protected], [email protected]
21 Mr. Roberto Vieira Statisticien Institut National De La Statistique, AV. Amilcar Carnal
GuineaBissau 245 220027 245 722 4444 [email protected], [email protected]
22 Mr. Robert C. Buluma Manager Population and Social Statistics Kenya 254 720736143 [email protected], [email protected]
23 Ms. Mary Mildred Wanyonyi
Senior Manager Kenya national Bureau of Statistics, P.o. BOX 30266-00100, Nairobi
Kenya 254 20 315977 (Fax)
254 721 427641
[email protected], [email protected]
24 Mr. Moeketsi Edwin Ntoane
Statistician Bureau of Statistics, Cnr Higre Court Rd, P.O. BOX 455Maseru 100
Lesotho 266 22 323852 266 62 764555 [email protected]
25 Mr. Koikoi Diavana Research Officer/GDDS Coordinator
Liberia Institute of Statistics and Geo-Information Services
Liberia 231 886 436429
26 Mr. Niaina Ravelomanana Randrianjanaka
Director Institut Nationale de la Statistique
Madagascar 261 320 483235 [email protected], [email protected]
27 Mrs. Gelyda Melissa Tsilizani Statistician (ICT) National Statistical Office Malawi 265 152 4663 [email protected], [email protected]
28 Mr. Moriba Doumbia INSTA Hamdalaye Avenue du Mali Mali 223 20 222455 223 76 420612 [email protected] Mr. Freeman Komi Akolly
AmegashieAFRISTAT Coordonnateur du
Département des Appuis Stratégiques
Mali 223 20 215080 223 66 712004 [email protected]
30 Mr. Aziz Farzane Chief Service, BDS Direction de la Statistique Maroc 212 660 102196 [email protected]
31 Mr. Eshan Romjon Senior Statistical Officer TBS Lane Mauritius 211 4150 75 35792 [email protected]
No. Title Full Name Designation Address Country Telephone1 Telephone2 Email
23
32 Dr. Filipe Amaral Jose Amone
Statistician Statistical and Information Management, Av. Zy de Julho No. 1889
Mozambique 258 82 4416220 258 840365834 [email protected]
33 Ms. Ndapandula Maria Ndikwetepo
Demographer/Statistician Namibia Statistics Agency Namibia 264 61 283 4364 264 81 2878574
[email protected], [email protected]
34 Mr. Ibrahima Soumaila DSDS/INS 182, Rue de la Sirba, BP 13416 Niger 227 90 975088 227 202 03128 [email protected] Mr. Olutayo Adeyinka
Oyawale National Bureau of Statistics Nigeria 234 70 38380274 234 70
36 Mr. Barry Adjibou Oppa Agence Nationale de la Statistique et de la Démographie (ANSD)
Senegal 221 33 8692139 221 77 9203480
[email protected], [email protected]
37 Ms. Maria Judith Georgia Bacco
Statistician National Bureau of Statistics Seychelles [email protected], [email protected]
38 Mr. Andrew A. Kamara Statistician Statistics Sierra Leone 232 766 80228 [email protected] Mr. Hussein Elmi Gure Director of Central
Statistics Department Statistician Somali 252 695 51143 252 615
40 Ms. Yandiswa Mpetsheni Daphen
Executive Manager: National Statistics System
170 Thabo Sehume Street, Pretoria
South Africa 27 12 3217362 27 12 3108608 [email protected]
41 Ms. Sijali Harun Airkadious Erikole
System Administrator National Bureau of Statistics South Sudan 211 92 6591922 [email protected]
42 Mr. Suheir Mohammed Ibrahim
Statistician CBS Sudan 249 129 9123076 249 129 123070
43 Mr. Sabezo Petros Simezane
Assistant Statistician Statistical Geographer Swaziland [email protected]
44 Mr. Ariv Mesiaki Severe IT Systems Analyst Bureau of Statistics, Tanzania 255 684 2323096 255 753 771891
[email protected], [email protected]
45 Mr. Akoly Gentry Statistician DGSCN Togo 228 90003625 [email protected] Ms. Dorra Dhraief Insenseur Institut National de la
StatistiqueTunisia 216 71 891002 216 24 225262 [email protected],
[email protected] Mrs. Doreen Ninsiima Kasozi Standards and Methods
OfficerUganda Bureau of Statistics, Plot 9, Kampala, P.O. BOX 7186, Colville St.
Uganda 256 414 706013 256 772 850541
[email protected], [email protected]
48 Ms. Jane Rose Lutaya Monitoring and Evaluation Officer
Statistician and policy Management
Uganda 256 414 706013 256 712 890167
[email protected], [email protected]
No. Title Full Name Designation Address Country Telephone1 Telephone2 Email
24
49 Mrs. Lukonga Etambuyu imwiko
Documentation Officer Central Statistical Office, Lusaka
Zambia 260 211 251377 [email protected]
50 Ms. Nakazwe Chola Daka Senior Demographer/Statistician
Central Statistical Office, Lusaka
Zambia 260 211 251377 [email protected]
51 Mr. Roeper ICT Adviser BI/MIS GIZ, Kariba Rd 6469, Lusaka Zambia 260 211 291918 [email protected]
52 Mr. Daniel Daka Ag. Deputy Director Central Statistical Office, Lusaka
Zambia 260 211 253468 [email protected]
53 Mr. Nkandu Kabibwa Statistician Central Statistical Office, Lusaka
Zambia 260 955 790323 974 824303 [email protected]
54 Mr. Perfect Makumbe Statistician Zimbabwe National Statistics Agency
Zimbabwe 263 773 213505 263 74703971 [email protected]
55 Ms. Nozipho Freya Simelane
EAO (ICT) UNECA/SRO-SA Zambia 260 211 228502 [email protected]
56 Ms. Maame Agyeben AEAO UNECA/SRO-SA Zambia 260 211 228502 [email protected] Mr. Jack Jones Zulu EAO UNECA/SRO-SA Zambia 260 211 228502 [email protected] Mr. Benjamin Banda EAO UNECA/SRO-SA Zambia 260 211 228502 [email protected] Ms. Annie Tembatemba Team Assistant UNECA/SRO-SA Zambia 260 211 228502 [email protected] Mr. Gulilat Tesfaye Statistician UNECA/ACS Ethiopia 251 911 249251 [email protected] Mrs. Fatouma Sissoko Economist UNECA/ACS Ethiopia 251 92 317660 [email protected] Mr. Oumar Sarr Statistician UNECA/ACS Ethiopia 251 911 550021 [email protected] Mr. Kout Louis Kouakou Statistician African Development Bank Tunisia 216 711 03058 [email protected]
64 Mr. Maurice Mubila Chief Statistician African Development Bank Tunisia 216 71 103653 [email protected]
65 Mr. KADISHA MBIYA H. K Statistician African Development Bank Tunisia [email protected] Ms. Selamawit Mussie MDG Policy Officer African Union, Addis Ababa Ethiopia 251 911 614792 [email protected]
67 Mr. Dossina Yeo Statistician African Union, Addis Ababa Ethiopia 251 11 5182651 251 11 510249 [email protected]
68 Mr. Kutoati Adjowodi Paul DBA African Union, Addis Ababa Ethiopia +251 115182651 [email protected]
69 Ms. Jessica Gardner Consultant ECA Australia +61 478 737 432 [email protected]