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

i

ii

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

1

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

2

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.

4

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.

5

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;

6

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.

7

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)

8

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;

9

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.

10

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

11

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.

12

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.

13

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:

14

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.

15

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.

16

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.

17

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.

18

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.

19

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.

20

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

21

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 carlos.pedro@gov.ao2 Mr. Essessinou Aboudou

RaimiStatisticiaen Economiste INSAE, 01 BP 323, Contonou Benin 229 213 08244 229 976 21047 insae@insae-bj.org,

r_essessinou@yahoo.fr3 Ms. Mpho Keboi Statistician Statistics Botswana Botswana 267 718 23885 mkeboi@gov.bw4 Mr. Sehakgamaleng Portia

MaboteStatistician Statistics Botswana 267 393 4968 267 72 446864 smabote@gov.bw,

seposh@gmail.com

5 Mr. Joseph Butoyi Chief of Division National Bureau of Statistics Burundi 257 799 35161 j_butoyi@yahoo.fr6 Mr. Christophe Tatsinkou Statistician Institut National De la

Statistique, BP 134, YaoundeCameroon 237 22 220445 237 75 624653 tatsinkouchristophe@gmail.com

7 Mr. OrlandoSantos Monteiro

National Statistics Office Cape Verde 238 2613827 238 99 85186 omonteiro@ine.gov.cv, monteirolol@yahoo.fr

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 serge.matchinide@minplan-rca.org

9 Mr. Tinro Raoul Mbaiogoum

INSEED Chad 235 22 523164 235 66 296402/90

tinrombai@yahoo.fr

10 Ms. Anfaita Achirafi Chief of Service Direction Nationale de la Statistique

Comores 269 334 7855 aanfaita@yahoo.fr

11 Mr. Theophile S. Bassissila Statistician CNSSE Congo Brazaville

242 055 827338 242 066 666294

bass-theo@yhaoo.fr, bass-theo@hotmail.fr

12 Mr. Christian Tape INS Cote d’Ivoire 225 07 256053 christ-tape@yahoo.fr13 Mr. Sekou Tidian Konate Statistician Direction de la Statistique,

DISED, BP 1846Djibouti 253 778 13322 253 77813322 st_konate@yahoo.com

14 Mr. Godefroid Sinzidi Kabuki Economiste/Demographe INS RDC, Kinshasa DR Congo 243 9999 44158 sinzidig@yahoo.com

15 Mr. Alam Mohamed Abdelkader

Senior Statistician CAMPAS, 3 Salah Salem St., Nasar City,

Egypt 202 240 24393 201 003353929 kaderallam@yahoo.com

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

t_mergia@yahoo.com

22

No. Title Full Name Designation Address Country Telephone1 Telephone2 Email17 Ms. Minette Ntsame DGSEE Gabon minettentsame@jmail.com18 Ms. Mam-Yassin Ceesay Statistician Gambia Bureau of Statistics,

Kanifing institutional Layout, P.o. BOX 3504, Serrekunda

Gambia 220 3723133 220 75 284646 myasc87@yahoo.com

19 Mr. Johnson Dagua Owusu Snr. Statistician Ghana Statistical Service Ghana 233 244 440421 jaywus2003@gmail.com, kagya.owusu@statsghana.gov.gh

20 Mr. Sanyon Oulaye Ministère Du Plan/Institut National de La Statistique, INS

Guinea 224 30 414567 224 64 783385 oumarbombi@yahoo.fr, saramodou@yahoo.fr

21 Mr. Roberto Vieira Statisticien Institut National De La Statistique, AV. Amilcar Carnal

GuineaBissau 245 220027 245 722 4444 Roberto.babo92@gmail.com, babo92@hotmail.com

22 Mr. Robert C. Buluma Manager Population and Social Statistics Kenya 254 720736143 rbuluma@knbs.or.ke, rcbuluma@gmail.com

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

mwanyonyi@knbs.or.ke, mmildredcbs@yahoo.com

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 m.ntoane@bos.gov.ls

25 Mr. Koikoi Diavana Research Officer/GDDS Coordinator

Liberia Institute of Statistics and Geo-Information Services

Liberia 231 886 436429

diazukoi@yahoo.com

26 Mr. Niaina Ravelomanana Randrianjanaka

Director Institut Nationale de la Statistique

Madagascar 261 320 483235 niainarr@yahoo.fr, niaina.randrianjamaka@instat.mg

27 Mrs. Gelyda Melissa Tsilizani Statistician (ICT) National Statistical Office Malawi 265 152 4663 gelyda2002@yahoo.co.uk, gtsilizani@statistics.gov.mw

28 Mr. Moriba Doumbia INSTA Hamdalaye Avenue du Mali Mali 223 20 222455 223 76 420612 ml_doumbia@yahoo.fr29 Mr. Freeman Komi Akolly

AmegashieAFRISTAT Coordonnateur du

Département des Appuis Stratégiques

Mali 223 20 215080 223 66 712004 amegashie@afristat.org

30 Mr. Aziz Farzane Chief Service, BDS Direction de la Statistique Maroc 212 660 102196 azizfarz123@gmail.com

31 Mr. Eshan Romjon Senior Statistical Officer TBS Lane Mauritius 211 4150 75 35792 eromjon@mail.gov.mu

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 filipe.amome@gmail.com

33 Ms. Ndapandula Maria Ndikwetepo

Demographer/Statistician Namibia Statistics Agency Namibia 264 61 283 4364 264 81 2878574

nndikwetepo@nsa.org.na, ndeshi.ndapa@gmail.com

34 Mr. Ibrahima Soumaila DSDS/INS 182, Rue de la Sirba, BP 13416 Niger 227 90 975088 227 202 03128 isoumaila@ins.ne35 Mr. Olutayo Adeyinka

Oyawale National Bureau of Statistics Nigeria 234 70 38380274 234 70

83287118toyawale@nigeriastat.gov.ng

36 Mr. Barry Adjibou Oppa Agence Nationale de la Statistique et de la Démographie (ANSD)

Senegal 221 33 8692139 221 77 9203480

adjibou.barry@ansd.sn, barry.adjibou@yahoo.fr

37 Ms. Maria Judith Georgia Bacco

Statistician National Bureau of Statistics Seychelles maria@nbs.gov.sc, mariabacco@yahoo.com

38 Mr. Andrew A. Kamara Statistician Statistics Sierra Leone 232 766 80228 kamarakolifa@gmail.com39 Mr. Hussein Elmi Gure Director of Central

Statistics Department Statistician Somali 252 695 51143 252 615

511043gure2007@hotmail.com

40 Ms. Yandiswa Mpetsheni Daphen

Executive Manager: National Statistics System

170 Thabo Sehume Street, Pretoria

South Africa 27 12 3217362 27 12 3108608 yandiswam@statssa.gov.za

41 Ms. Sijali Harun Airkadious Erikole

System Administrator National Bureau of Statistics South Sudan 211 92 6591922 harunasijali@yahoo.ca

42 Mr. Suheir Mohammed Ibrahim

Statistician CBS Sudan 249 129 9123076 249 129 123070

mohamed-suheir@yahoo.com

43 Mr. Sabezo Petros Simezane

Assistant Statistician Statistical Geographer Swaziland apsim-elane@yahoo.co.uk

44 Mr. Ariv Mesiaki Severe IT Systems Analyst Bureau of Statistics, Tanzania 255 684 2323096 255 753 771891

ariv_severe@nbs.go.tz, arivsevere@yahoo.com

45 Mr. Akoly Gentry Statistician DGSCN Togo 228 90003625 gentryfrancke@yahoo.fr46 Ms. Dorra Dhraief Insenseur Institut National de la

StatistiqueTunisia 216 71 891002 216 24 225262 ddhraief@yahoo.com,

dhrif.dofra@insta.tn47 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

mkdonius@yahoo.com, doreen.ninsiima@ubos.org

48 Ms. Jane Rose Lutaya Monitoring and Evaluation Officer

Statistician and policy Management

Uganda 256 414 706013 256 712 890167

jane.rose.lutaya@ubos.org, roslut@yahoo.com

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 etambuyull@yahoo.co.uk

50 Ms. Nakazwe Chola Daka Senior Demographer/Statistician

Central Statistical Office, Lusaka

Zambia 260 211 251377 chola.nakazwe@gmail.com

51 Mr. Roeper ICT Adviser BI/MIS GIZ, Kariba Rd 6469, Lusaka Zambia 260 211 291918 achim-roeper@giz.de

52 Mr. Daniel Daka Ag. Deputy Director Central Statistical Office, Lusaka

Zambia 260 211 253468 mudaala@yahoo.com

53 Mr. Nkandu Kabibwa Statistician Central Statistical Office, Lusaka

Zambia 260 955 790323 974 824303 kabibix@yahoo.co.uk

54 Mr. Perfect Makumbe Statistician Zimbabwe National Statistics Agency

Zimbabwe 263 773 213505 263 74703971 pmakumbe@zimstat.co.zw

55 Ms. Nozipho Freya Simelane

EAO (ICT) UNECA/SRO-SA Zambia 260 211 228502 nsimelane@uneca.org

56 Ms. Maame Agyeben AEAO UNECA/SRO-SA Zambia 260 211 228502 magyeben@uneca.org57 Mr. Jack Jones Zulu EAO UNECA/SRO-SA Zambia 260 211 228502 jzulu@uneca.org58 Mr. Benjamin Banda EAO UNECA/SRO-SA Zambia 260 211 228502 bbanda@uneca.org59 Ms. Annie Tembatemba Team Assistant UNECA/SRO-SA Zambia 260 211 228502 atembate@uneca.org60 Mr. Gulilat Tesfaye Statistician UNECA/ACS Ethiopia 251 911 249251 gtesfaye@uneca.org61 Mrs. Fatouma Sissoko Economist UNECA/ACS Ethiopia 251 92 317660 fsissoko@uneca.org62 Mr. Oumar Sarr Statistician UNECA/ACS Ethiopia 251 911 550021 osarr@uneca.org63 Mr. Kout Louis Kouakou Statistician African Development Bank Tunisia 216 711 03058 k.l.kouakou@afdb.org

64 Mr. Maurice Mubila Chief Statistician African Development Bank Tunisia 216 71 103653 m.mubila@afdb.org

65 Mr. KADISHA MBIYA H. K Statistician African Development Bank Tunisia m.kadisha@afdb.org66 Ms. Selamawit Mussie MDG Policy Officer African Union, Addis Ababa Ethiopia 251 911 614792 selamawitmu@africa-union.org

67 Mr. Dossina Yeo Statistician African Union, Addis Ababa Ethiopia 251 11 5182651 251 11 510249 dossinay@africa-union.org

68 Mr. Kutoati Adjowodi Paul DBA African Union, Addis Ababa Ethiopia +251 115182651 adjewodak@africa-union.org

69 Ms. Jessica Gardner Consultant ECA Australia +61 478 737 432 jessica@stats2info.com