2018 PARIS21 Board Meeting · Kursaal Bern Conference Centre Room: Sopra Grande Kornhausstrasse 3...

2018 PARIS21Board Meeting

5 April 2018Kursaal Bern Conference Centre

BOARDDOCUMENT

Kursaal Bern Conference Centre

Room: Sopra Grande Kornhausstrasse 3

3000 Bern, Switzerland

+41 31 339 55 00

Document package for the 2018 PARIS21 Board Meeting

Partnership in Statistics for Development in the 21st Century (PARIS21)

2 | PARIS21 Annual Meetings 2018

LIST OF DOCUMENTS

4 | List of Documents

2018 PARIS21 Board Meeting | 5

LIST OF DOCUMENTS

# DOCUMENT TITLE STATUS PAGE

I Board Membership & Terms of Reference For Information 7

II Proposed Executive Committee Membership & Terms of Reference

For Decision 15

III Annual PARIS21 Progress Report (2017) For Information 19

IV Secretariat Programme of Work & Budget (2018) For Decision 45

V PARIS21 Mission Statement and Governance For Information 61

VI Statistical Capacity Development Outlook – Flagship Report For Information 67

VII PARIS21 Advisory Unit (PAU) For Decision 77

VIII Global Fund on Development Data For Information 83

IX Update on Capacity Development 4.0 Task Team For Information 91

X Use of Statistics Indicator For Information 101

XI Update on NSDS Guidelines For Information 109

XII Appendix I: Financial Statement of the PARIS21 Secretariat (2017)

For Information 113

* Notes 119

6 | List of Documents

I

BOARD MEMBERSHIP & TERMS OF REFERENCE

8 | Board Membership & Terms of Reference


I. PARIS21 Board Membership: 2018-2020

# Representing1 Member Title Mandate Expiry Date

1. Developing Country

West Africa Mr Osvaldo Rui Monteiro dos Reis Borges (Cabo Verde)

Director General, National Statistics Institute

31/03/2020


East Africa Mr Abdirahman Omar Dahir (Somalia)

Director General, Department of Statistics

31/03/2020


Central Africa Ms Elsa Maria Da Costa Cardoso Cassandra (São Tomé and Príncipe)

Director General, National Institute of Statistics

31/03/2020


North Africa Mr Abdella Zidan Amhemad Allag (Libya)

Chairman, Bureau of Statistics and Census

31/03/2020


Southern Africa

Mr Maluleke Risenga (South Africa)

Statistician-General and Head of Statistics, Statistics South Africa

31/03/2020


Western Asia Mr Qasem Alzoubi (Jordan)

Director General, Department of Statistics

31/03/2020


Southern Asia Ms Aishath Shahuda (Maldives)

Chief Statistician, National Bureau of Statistics

31/03/2020


East Asia & Pacific

Ms Ariunzaya Ayush (Mongolia)

Chairwoman, National Statistical Office

31/03/2020


South East Asia

Ms Lisa Bersales (Philippines)

National Statistician, Phillipine Statistics Authority

31/03/2020


Central America

Ms Alexandra Izquierdo Méndez (Dominican Republic)

General Director, National Statistics Office

31/03/2020


Caribbean Mr Iwan A. Sno (Suriname)

Director, General Bureau of Statistics

31/03/2020


South America Mr Santiago Frajat Bascon (Bolivia)

Director General, National Institute of Statistics

31/03/2020


Eastern Europe and Central Asia

Mr Akylbek Sultanov (Kyrgyzstan)

Chairman, National Statistics Committee

31/03/2020

14. Regional Banks

African Development Bank

Mr Charles Lufumpa Director, Statistics Department

31/03/2020

15. Regional Bank

Asian Development Bank

Mr Rana Hasan Director, Development Economics and Indicators Division

31/03/2020

1 Developing countries represented in each seat are defined below.


16. Regional Bank

Inter-American Development Bank

Mr Carlos Santiso Chief, Institutional Capacity of the State Division

31/03/2020

17. Regional Bank

Islamic Development Bank

Mr Areef Suleman

Director, Economic Research and Institutional Learning Department

31/03/2020

18. Regional Bank

Caribbean Development Bank

Mr Justin Ram Director, Economics Department

31/03/2020

19. Regional Commission

UNECA Mr Oliver Chinganya Director, African Centre for Statistics

31/03/2020


UNESCAP Ms Rikke Munk Hansen Officer-in-Charge, Statistics Division

31/03/2020


UNECLAC Mr Pascual Gerstenfeld Director, Statistics Division

31/03/2020


UNESCWA Mr Juraj Riecan Director, Statistics Division

31/03/2020


UNECE Mr Steven Vale Senior Statistician 31/03/2020

24. Regional Institution

AFRISTAT Mr Cosme Vodounou Director General 31/03/2020


ASEAN Mr Puguh Irawan Senior Officer, Statistics Division

31/03/2020


CARICOM Ms Philomen Harrison Director, Regional Statistics

31/03/2020


SPC Ms Ofa Ketu'u Director, Statistics for Development Division

31/03/2020


AUC Ms Leila Ben Ali Head, Statistics Division

31/03/2020


CAN Mr José Antonio Arróspide

Director General 31/03/2020


COMESA Mr Sindiso Ndema Ngwenya

Secretary General 31/03/2020

31. Donor Country

Canada

Ms Meghan Watkinson Director, Governance, Global Affairs Canada

31/03/2020 Ms Jackey Mayda

Director, International Coooperation, Statistics Canada

32. Donor Country

Germany Mr Gottfried von Gemmingen

Head of Division 300, Federal Ministry for Economic Cooperation

31/03/2020


and Development (BMZ)

Mr Thomas Wollnik Head of P4R Programme, German Development Cooperation (GIZ)

33. Donor Country

France TBC TBC 31/03/2020

34. Donor Country

Korea Mr Kido Seong Director, International Cooperation Division, Statistics Korea

31/03/2020

35. Donor Country

Norway Mr Jon Lomoy Director General, Norad 31/03/2020

36. Donor Country

Italy Ms Marina Gandolfo

Head of Division for International Affairs, National Institute of Statistics (ISTAT)

31/03/2020

37. Donor Country

Switzerland

Mr Christoph Lang

Deputy Director, Swiss Agency for Development and Cooperation (SDC)

31/03/2020

Mr Benjamin Rothen

Deputy Head, International Affairs Unit, Swiss Federal Statistical Office

38. Donor Country

United Kingdom

Mr Neil Jackson

Chief Statistician, Department for International Development (DfID) 31/03/2020

Ms Carol Ann Munn Senior Statistics Adviser, DfID

39. Multilateral FAO Mr Pietro Gennari Chief Statistician 31/03/2020

40. Multilateral UNDP Mr Pedro Conceicao Director, Strategic Policy

31/03/2020

41. Multilateral UIS UNESCO Ms Silvia Montoya Director 31/03/2020

42. Multilateral UN Women Mr Papa Seck Chief Statistician 31/03/2020

43. Multilateral UNICEF Mr Mark Hereward Associate Director, Data & Analytics

31/03/2020

44. Multilateral Eurostat Mr Pieter Everaers Director, International Cooperation

Standing Member


45. Multilateral IMF Mr Louis Marc Ducharme Director, Statistics Department

Standing Member

46. Multilateral OECD Ms Martine Durand Chief Statistician and Director, Statistics and Data Directorate

Standing Member

47. Multilateral UNSD Mr Stefan Schweinfest Director, Statistics Division

Standing Member

48. Multilateral World Bank Ms Haishan Fu Director, Development Data Group

Standing Member

49.

Foundation/ NGO / Private Sector

Bill & Melinda Gates Foundation

Mr Vincent Seaman Deputy Director, Global Development Strategy, Data & Analytics

31/03/2020

50.


Open Data Watch

Ms Shaida Badiee Co-Founder and Managing Director

31/03/2020

51.


CEPEI Mr Philipp Schönrock Director 31/03/2020

52.


Flowminder Mr Erik Wetter Chairman 31/03/2020

53. Ex Officio PARIS21 Secretariat

Mr Johannes Jütting Manager Standing Member


Country Groupings

Board Seat Countries Represented

West Africa Benin, Burkina Faso, Cabo Verde, Côte d'Ivoire, Gambia, Ghana, Guinea, Guinea Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone, Togo

East Africa Comoros, Djibouti, Ethiopia, Eritrea, Kenya, Madagascar, Mauritius, Rwanda, Seychelles, Somalia, South Sudan, Sudan, Tanzania, Uganda

Central Africa Burundi, Cameroon, Central African Republic, Chad, Congo, DR Congo, Equatorial Guinea, Gabon, São Tomé and Príncipe

North Africa Algeria, Egypt, Libyan Arab Jamahiriya, Mauritania, Morocco, Sahrawi Republic, Tunisia

Southern Africa Angola, Botswana, Lesotho, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia, Zimbabwe

Western Asia Armenia, Azerbaijan, Georgia, Iraq, Jordan, Lebanon, Palestinian Authority, Syrian Arab Republic, Turkey, Yemen

Southern Asia Bangladesh, Bhutan, India, Iran, Maldives, Nepal, Pakistan, Sri Lanka

Eastern Asia & Pacific

Cook Islands, Fiji, Kiribati, Korea DPR, Marshall Islands, Federated States of Micronesia, Mongolia, Nauru, Niue, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu

South-eastern Asia Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Thailand, Timor-Leste, Viet Nam

Caribbean Antigua and Barbuda, Bahamas, Barbados, Belize, Cuba, Dominica, Grenada, Haiti, Jamaica, Saint Lucia, Saint Vincent and the Grenadines, Suriname, Trinidad and Tobago

Central America Belize, Costa Rica, Dominican Republic, El Salvador, Guatemala, Honduras, Nicaragua, Panama

South America Argentina, Bolivia, Brazil, Colombia, Ecuador, Guyana, Paraguay, Peru, Uruguay, Venezuela

Eastern Europe and Central Asia

Belarus, Bulgaria, Kazakhstan, Kyrgyzstan, Republic of Moldova, Romania, Russian Federation, Tajikistan, Turkmenistan, Uzbekistan, Ukraine

Note:

1) The grouping of countries is based on the United Nations Classification except for Africa where the Classification of the

African Union Commission is used.

2) Suriname has been moved from South America to the Caribbean based on its adhesion to the Caribbean Community

3) The Dominican Republic has been moved from the Caribbean to Central America based on its membership in SICA.

4) CIS grouping has been replaced by Central Asia.

5) IDA and OECD countries have been removed.


PARIS21 Board Members 2018-2020: Terms of Reference Board members have a responsibility to oversee the design and implementation of PARIS21’s work. They are expected to be ‘champions’ of the aims of PARIS21 and advocate for and publicise PARIS21 activities within their constituencies. They will consult and report back to their constituencies about Board discussions and the work of PARIS21 more broadly.

The Board meets once a year to discuss general issues relating to the development and use of statistics, to review the strategic direction of PARIS21 and to review the medium-term operational work programme of the Secretariat, including the work of Task Teams and special initiatives. In particular, the Board is responsible for:

Setting the strategic direction for PARIS21 and advising on how it is organised and co-ordinated based on expertise and experience

Reviewing the work of PARIS21 as a whole and advising on priorities for future action

Championing the aims of PARIS21 and advocating for and publicising PARIS21 activities within

constituencies, including sharing outcomes of PARIS21 meetings and activities

Using influence to advocate for the allocation of adequate resources both for the better

availability and use of statistics in development and for PARIS21 activities

Reviewing and advising on the Secretariat’s medium-term work programme, which includes

the work of Task Teams and special initiatives

Participating in Task Teams on various issues, on a voluntary basis

Reviewing and providing inputs into the terms of reference and reports of the periodic

evaluations of PARIS21

Providing overall guidance to the Secretariat when appropriate

Developing countries’ representation on the Board is determined by (sub) regional groupings. Developing country representatives are therefore expected to consult other countries in the (sub) regions, speak on their behalf and report back regarding any major developments of PARIS21.

II

PROPOSED EXECUTIVE COMMITTEE MEMBERSHIP

& TERMS OF REFERENCE

16 | Proposed Executive Committee Members & Terms of Refernce


II. Proposed PARIS21 Executive Commmittee Members: 2018-

2020

# Representing Member Title Mandate Expiry Date


South Africa Mr Maluleke Risenga

Statistician-General and Head of Statistics, Statistics South Africa

31/03/2020


Philippines Ms Lisa Bersales National Statistician, Phillipine Statistics Authority

31/03/2020

3. Bilateral Donor

United Kingdom

Mr. Neil Jackson

Chief Statistician, Department for International Development (DfID)

31/03/2020

4. Bilateral Donor

Canada

Ms Jackey Mayda Director, Statistics Canada

31/03/2020 Ms Meghan Watkinson

Director, Governance, Global Affairs Canada

5. Multilateral European Commission/ Eurostat

Mr Pieter Everaers Director, International Cooperation

Standing Member

6. Multilateral IMF Mr. Louis Marc Ducharme

Director, Statistics Department

Standing Member

7. Multilateral OECD Ms. Martine Durand Chief Statistician Standing Member

8. Multilateral UNSD Mr. Stefan Schweinfest Director, Statistics Division

Standing Member

9. Multilateral World Bank Ms. Haishan Fu Director, Development Data Group

Standing Member

10. ex officio PARIS21 Secretariat

Mr. Johannes Jütting Manager Standing Member

18 | Proposed Executive Committee Members & Terms of Refernce

Executive Committee Members: Terms of Reference Between Board meetings the activities of the Partnership and Secretariat are guided and monitored by an Executive Committee with a small number of members selected by the Board. Where required, the Executive Committee may set up Task Teams to carry out specific tasks or to deliver specific outputs. The role of the Executive Committee is to provide an accountability mechanism and guidance to the ongoing work of the Secretariat. In particular, it provides a policy direction to activities and is a decision-making body when required. Preference is generally given to decision-making by consensus, but if a vote is required, each member has one vote, decisions being made by a simple majority. The specific roles of the Executive Committee are:

Championing the aims of PARIS21 and advocating for and publicising PARIS21 activities within

their constituencies, including the sharing of outcomes from PARIS21 meetings and activities

where relevant

Using their influence to advocate for the allocation of adequate resources both for the better

availability and use of statistics in development generally and for PARIS21 activities in

particular

Monitoring progress of the regular work programme of the Secretariat and reviewing the

progress of Special Initiatives from time to time, subject to the special arrangements put in

place for each such programme

Reviewing and approving annual work programmes and budgets, annual reports and other

important documents as required

Reviewing and approving the agenda and papers for the annual Board meetings

Reviewing the Secretariat’s budget situation on a regular basis

Briefing and engaging with the Board throughout the year as necessary, to ensure effective

consultation on key operational and administrative issues as they arise

Participating in the appointment of the Manager of the PARIS21 Secretariat when required and

in line with OECD arrangements

Reviewing nominations for new Board members

Communicating reports and decisions to the Board

Contributing to fundraising efforts for the Secretariat

III

ANNUAL PARIS21 PROGRESS REPORT

(2017)

20 | Annual PARIS21 Progress Report (2017)


III. PROGRESS REPORT: 2017

CONTENTS

Contents

INTRODUCTION AND SELECTED HIGHLIGHTS .............................................. 22

1. KNOWLEDGE SHARING AND INNOVATION INCUBATOR .......................... 24

1.1 Improving NSS efficiency .................................................................... 24 1.2 Integrating innovation into official statistics ...................................... 25 1.3 Issuing guidelines and best practice ................................................... 26

2. ADVOCACY ................................................................................................ 27

2.1 Engaging with new actors ................................................................... 27 2.2 Making data available, understandable and communicable .............. 27 2.3 Advocating globally for national statistics .......................................... 28 2.4 Participating in international, regional and national fora .................. 29

3. CO-ORDINATION & MONITORING ............................................................ 31

3.1 National Statistical System Peer Reviews ........................................... 31 3.2 National and Regional Strategies for the Development of Statistics . 32 3.3 NSDS status ......................................................................................... 34 3.4 Global monitoring ............................................................................... 34 3.5 SDG readiness ..................................................................................... 35 3.6 Country Report On Support to Statistics (CRESS) ............................... 35 3.7 Partner Report on Support to Statistics (PRESS) ................................ 36 3.8 Stakeholder co-ordination .................................................................. 36 3.9 Logframe: partnership progress ......................................................... 37

4. TECHNICAL SUPPORT ................................................................................ 39

4.1 Supporting quality processes .............................................................. 39 4.2 Improving access to data .................................................................... 39 4.3 Supporting statistical laws .................................................................. 39 4.4 Improving data planning through adapt ............................................. 40

5. PARTNERSHIPS.......................................................................................... 40

6. OVERALL MANAGEMENT ......................................................................... 41

6.1 Website and social media ................................................................... 41 6.2 Publications and printed materials ..................................................... 42 6.3 PARIS21 Bulletin, news flashes and Huffington Post .......................... 42


Reporting period: 2017

INTRODUCTION AND SELECTED HIGHLIGHTS

This progress report outlines the PARIS21 Secretariat’s activities in 2017. It is structured around the four pillars of PARIS21’s 2016-2020 Strategy: Knowledge Sharing and Innovation Incubator, Advocacy, Co-ordination and Monitoring and Technical Support. While the activities outlined below refer to those completed by the Secretariat, the outputs are the fruits of partnership efforts and close collaboration with various partners including regional institutions, development banks, commissions, bilateral donors, multilateral organisations, foundations and the private sector. National statistical offices (NSOs) and other actors within the national statistical systems (NSSs) remain the main stakeholders of PARIS21.

Outreach

Engaged directly with 31 countries

Reached 57 countries through regional activities

Supported 12 fragile states and 7 small island developing states (SIDS)

The last three years have seen an increase in the share of PARIS21’s global activities – from 9% in 2014 to 31% in 2017 (Figure 1). This increase is largely due the many global discussions and initiatives on statistics following the adoption of the 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs), and include global working groups, and involvement with the Global Partnership for Sustainable Development Data. This increase is also explained by the demand for PARIS21 to contribute global public goods which include position papers; guidelines, such as the Advanced Data Planning Tool (ADAPT); the Data Visualization Toolkit, which can be used by a wide range of national, regional and global partners; as well as the new Capacity Development 4.0 (CD4.0) workstream.

FIGURE 1: Breakdown of PARIS21 activities by region (% of total activities)

Africa

36%

Asia &

Pacific

23%

LAC

10%

Global

31%

Activities by region


Figure 1 reflects the global reach of PARIS21’s support to statistics. The majority of PARIS21’s country and regional activities benefitted African countries in 2017, accounting for 36% of all its activities. Engagement in the Asia-Pacific region increased from 19% in 2014 to 23% in 2017, while about 10% of activities were conducted in the Latin America and Caribbean (LAC) region, a fall from 16% in 2014. PARIS21 recognises the importance of building the capacities of statistical institutions continuously and sustainably and replicating good practices in other countries. The strategy aims to create synergies among various activities in order to increase impact and add significant value for countries. Thus, a number of activities have been launched within the same country. For instance in Botswana, PARIS21 first conducted a mid-term review of the National Strategy for the Development of Statistics (NSDS), and then the findings of the review led to the formulation of a communications strategy. Similarly, in the Federated States of Micronesia and Grenada, NSS assessment reports respectively highlighted the need for an NSDS and to update the national statistics law. In the Philippines, new initiatives helped develop a sub-national NSDS, assess the human resources needed for responding to the SDGs, and deploy ADAPT within the national statistical system. In Rwanda, new initiatives to improve data dissemination and communication were piloted through data visualization training, a data journalism competition, and ADAPT. One way in which PARIS21 adds value is through its continuous development and improvement of tools to help statistical systems improve the way they work. While PARIS21 provides direct support to a number of countries in facilitating the use of these tools and guidelines, other partners are now increasingly advocating for the use of these tools in a much larger number of countries, thereby increasing PARIS21’s country footprint. This is the case with ADAPT, which has been promoted by the United Nations Development Programme (UNDP) in several countries (including Burkina Faso, the Comoros, the Gambia and Haiti). It has also been promoted by the United Nations Statistics Division (UNSD) among the countries participating in its DA9 project “Strengthening Capacity for Post-2015 Monitoring” and DA10 project “Monitoring the Sustainable Development Goals”.

Main achievements in 2017

Introduced a new workstream on new approaches to capacity development (CD4.0)

Contributed several chapters to the OECD’s Development Co-operation Report on Data for Development

Contributed to the upgrade of SDG Indicator 17.18.2 from Tier III to II

Conducted first-ever NSDS in Libya

This progress report summarises activities related to:

Workstreams at the country and regional levels

Global monitoring of the Partner Report on Support to Statistics (PRESS), NSDS status and SDG reporting

Knowledge products

Advocacy representations

Partnerships in implementing the Secretariat’s work programme

Communication


1. KNOWLEDGE SHARING AND INNOVATION INCUBATOR

Key highlights

Cross regional Forum on SDG implementation: Data, Institutions and Funding

Workshop on Capacity Development 4.0

Launch of the OECD Development Co-operation Report on Data for Development

ADAPT tool promoted by UNDP and UNSD

1.1 Improving NSS efficiency

PARIS21 is committed to strengthening statistical institutions and improving the efficiency of national statistical sytems in responding to increasing data demand. In 2017, the focus was on strengthening soft skills in NSOs, in particular building the managerial and leadership capacity of NSO heads to lead and guide the co-ordination of their NSS. PARIS21 organised Statistical Leadership Trainings in Africa and Asia which focused on the role of managers as lead co-ordinators of the statistical system and how they engage with multiple partners to address new and emerging demands for statistics at global, regional and national levels. The training in Central and Indian Ocean Francophone Africa brought together NSO heads from nine countries (Burundi, Cameroon, Central African Republic, Congo, Djibouti, DRC, Gabon, Madagascar, and Sao Tome & Principe). Additionally, heads of NSOs from seven Asian countries (Cambodia, Indonesia, Mongolia, Myanmar, Nepal, Sri Lanka, and Timor Leste) participated in a similar leadership training. This work contributes to Strategic Area 1 of the recently adopted Cape Town Global Action Plan for Sustainable Development Data (CTGAP). The lack of and inadequate capacity of human resources in statistics remains a critical issue for NSSs in developing countries and it is one of PARIS21’s continuing concerns. In Africa, PARIS21 organised an NSS Human Resources Regional Training in partnership with Statistics Canada, which looked at the preparation of job descriptions; management of promotions and transfers; career planning; and development, implementation, monitoring, evaluation and management of continuing education plans and programmes. It was also an opportunity to provide information on the best strategies for motivating staff and to produce a document on good practices. Nine countries (Cameroon, Chad, Côte D’Ivoire, Djibouti, Equatorial Guinea, Senegal, Togo, Niger, Sao Tome & Principe) participated in the training. A peer network was established among the Director Generals (DGs) and a first meeting of this group was organised on the sidelines of the Committee of DGs (CoDG) in Nouakchott, Mauritania in December 2017. At the country level, a Statistics Human Resource Assessment Study was conducted in the Philippines to analyse the readiness of the Philippine Statistics Authority (PSA). The study looked at the country’s organisational set-up, staffing patterns, and systems and procedures. It also identified gaps in key human resource skills. The assessment led to the preparation of a human resource development strategy which was incorporated in the PSA’s mid-term organisational strategy. As a pioneer in looking after statistical development concerns across small island developing states (SIDS), PARIS21 was invited to participate and share its experience in the Inter-regional Seminar on NSS Assessment in SIDS, held in Fiji. It presented the PARIS21 NSS assessment approach as well as its programme of support for SIDS in conducting NSS assessments as part of their NSDS preparation. Nine countries participated in the seminar (Fiji, Kiribati, Maldives, Mongolia, Samoa, St. Lucia, Suriname,


Tonga and Vanuatu), which was organised by United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), United Nations Economic Commission for Latin America and the Caribbean (UNECLAC), UNSD, and the Pacific Community (SPC). PARIS21 continues to explore new ways of supporting countries in building their NSS capacities and efficiency. In 2017, two topics were under study by the Secretariat which will be developed further in 2018: 1) the use of new data sources for official statistics, specifically the potential of citizen-generated data to help measure SDG indicators in a country and for documenting its practice at the subnational level; and 2) innovative capacity development approaches, particularly the development of an online learning platform for blended learning exercises.

1.2 Integrating innovation into official statistics

PISTA

The Secretariat continued its work on innovation through further developing and implementing the Platform for Innovations in Statistics (PISTA). PISTA content was reviewed and improved further to increase its relevance for various types of users (IT, statistical methodologies or institutional innovations). The PISTA application was also improved by simplifying its capture and search functions in order to ease the task of innovations contributors and improve user experience. PARIS21 is also further refining the PISTA business model to ensure less dependence on project funding. Leveraging on the experience of other innovation repositories will be key, including the OECD Observatory of Public Sector Innovation (OPSI) and other innovation networks for data.

ADAPT

PARIS21 continues to improve the Advanced Data Planning Tool (ADAPT). Further improvements were made available to users in 2017 in consecutive versions released in July (V1.0) and November (V1.0.1). Version 1.0.1 offers several of the key features requested by advanced users, including more refined reporting and data visualization. Version 1.0.1 makes it easier to assess Sustainable Development Goal (SDG) readiness by integrating the methodology proposed by UNSD – This allows country agencies to replicate their findings. ADAPT has kept updating its global and regional indicators libraries, which are key for effective data planning at country level. PARIS21 is currently working on Version 1.1, which will be released in April 2018. It will offer several new features, especially for monitoring and evaluating NSDSs. For example it will allow data agencies to reconcile their data plans with the current status of data, skills and funding gaps. The learning platform for ADAPT is also being revamped, as the tool moves to a more global outreach after initial piloting. Supporting materials are being developed through a mixed learning mode approach, which will include both in person training and online e-learning moduels. In 2018, PARIS21 will launch webinars on ADAPT to further consolidate cost efficiency.

New data sources

The Secretariat provided technical support to the Philippines during a seminar, which helped strengthen and improve administrative data generated by the statistics. The objective was to improve data disaggregation for SDG reporting purposes. Given the complexity of the issue, further work will be undertaken in 2018 in this area, building on the expertise of more developed countries.


PARIS21 attended the UNSD workshop “Integrating Non-Traditional Data Sources in the Production of the SDG Indicators for EECCA Countries”, co‐organised by UNSD, United Nations Economic Commission for Europe (ECE) and the United Nations Environment Programme (UNEP). PARIS21’s participation strengthened public-private partnerships as a model for engaging with non-traditional data sources in the production of SDG indicators. It is expected that this contribution will be taken into consideration in updating the UN Handbook on Statistical Organisations, which was presented at the meeting for fresh input. PARIS21 continued its engagement with the Open Algorithms (OPAL) project, contributing to its development by participating in the Friendly User Test. As the OPAL project further evolves in 2018, PARIS21 will maintain its technical advisory service role.

1.3 Issuing guidelines and best practice

PARIS21’s work on cross-regional learning continued with the “Cross Regional Forum on SDG Implementation”, which focused on data, institutions and funding. The forum offered a cross-cutting perspective on the implementation of the SDGs by bringing together both OECD countries (Czech Republic, Finland, France, the Netherlands and Slovenia) and developing economies (Cambodia, Jamaica, Malaysia, Mali, Palestine, the Philippines, Tanzania and Uganda) to share their experiences. It was also an opportunity to highlight the shared key challenges countries face in terms of data needs, institutional set-ups and funding, with an emphasis on securing domestic resources. The forum highlighted the fact that progress has been made in many countries in assessing the data gaps. OECD and developing countries are in a similar situation: 41% of SDG indicators are already covered by available data.2 However, capacity is still lacking at the national level, especially in SIDS and fragile states. The forum advocated for central government to act as the main co-ordinator of SDG implementation, under the responsibility of the president’s or the prime minister’s office. It also advocated for SDG processes to be aligned with the national development plan. The NSO should be included in all institutional arrangements for the SDGs. As most SDG data will come from administrative sources (line ministries), legal frameworks might need to be revised to increase access to administrative data, provide the NSO with a co-ordinating role, ensure quality and confidentiality, and develop capacity within the NSS. Official statistics are still underfunded, not only within the NSO, but across the entire NSS. Establishing an international benchmark of resources allocated to statistics as a share of national GDP will help mobilise more domestic resources, allow for comparisons across countries and put pressure on the NSO as well as the entire NSS to do better. International standards such as the International Monetary Fund’s Special Data Dissemination Standard (IMF-SDDS) can motivate countries to increase domestic resources. Advocacy for statistics around the SDGs needs to be increased, backed up with demonstrated government ownership. The cost of measuring the SDGs should be shared through partnerships with NGOs and academia. More insights can be found in the background document Good Practices for Financing Statistical Development: www.paris21.org/sites/default/files/inline-files/FFSD%20draft%20for%20circulation%20-%2030th%20Nov%202017_0.docx.

2 93 out of 227 indicators are considered “Tier 1” https://unstats.un.org/sdgs/iaeg-sdgs/tier-classification/

Tier 1: it is conceptually clear, has an internationally established methodology and standards are available, and data are regularly produced by countries for at least 50 per cent of countries and of the population in every region where the indicator is relevant.

http://www.paris21.org/sites/default/files/inline-files/FFSD%20draft%20for%20circulation%20-%2030th%20Nov%202017_0.docx

http://www.paris21.org/sites/default/files/inline-files/FFSD%20draft%20for%20circulation%20-%2030th%20Nov%202017_0.docx

https://unstats.un.org/sdgs/iaeg-sdgs/tier-classification/


2. ADVOCACY

Key highlights

Surveyed students from five regional statistical schools in Africa

Updated the Data Visualization component of the Data Communications Toolkit

Supported competition for best data story by journalists in Rwanda

2.1 Engaging with new actors

The Secretariat pursued its work to introduce future statisticians to strategic planning and emerging issues in data and statistics. This includes undertaking statistical school surveys to bring the views of young statisticians – the stakeholders and future leaders of NSSs – into the debate on statistical development. The survey explores the students’ views of the statistician profession and its role in the economic and social development of the country. The survey is also an opportunity to get young statisticians’ opinions on new areas that official statistics should focus on. Finally, it also explores current topics related to open data, big data and the data revolution, SDGs and Civil Registration and Vital Statistics (CRVS). This survey covered:

Three Francophone Africa regional statistical schools: Ecole Nationale Supérieure de Statistique et d’Economie Appliquée (ENSEA) in Abidjan, Côte d’Ivoire; ENSAE in Dakar, Senegal; Institut Sous-régional de Statistique et d’Economie Appliquée (ISSEA) in Yaoundé, Cameroon.

Two Anglophone Africa regional schools: the Eastern Africa Statistical Training Center (EASTC) in Dar es Salaam, Tanzania and the Institute of Statistics and Applied Economics (ISAE) in Makerere University, Uganda

The University of the South Pacific (USP).

For the first time, the statistical school survey included an element for voluntary tracking students’ career progress. This should provide further insights into the career perspectives of the statistical profession in the years to come. The survey revealed that those students who are interested in working in the NSOs after their training are mostly interested in short-term jobs to gain more experience. They favour international organisations and the private sector in the long term for their better salaries and working conditions.

2.2 Making data available, understandable and communicable

Communication is a key part of the statistical process of informing people on the progress of society. Following on from work done in Botswana, PARIS21 has produced communication strategy guidelines for other NSOs. The guidelines are currently being peer reviewed and will be made available to all NSOs in the second quarter of 2018. A data visualization and infographics training was held for academics and journalists in Rwanda. It was designed to help participants learn to communicate data and statistics produced by the NSO and NSS using a “mix” of data, visualization and narrative to explain, enlighten, and engage their audiences. This PARIS21 training covers the fundamental aspects of data storytelling, graphic design, statistical concepts and data analytics. The Rwanda course was attended by 10 journalists (from print, web, radio


and TV media), 3 graphic designers who have worked earlier with the NSO in various capacities (including a winner of the annual Infographic Competition organised by the NSO, and who is now running an independent graphic design company offering free data visualization training to journalists in Rwanda), a representative of the Media High Council (a government institution responsible for developing the capacity of the Rwandan media) and 4 staff from the NSO (a GIS expert, a public relation officer, a dissemination expert, and a statistician). The workshop resulted in a proposed road-map for capacity development, stories in the media using data visualization, and the updating of the data visualization toolkit (http://paris21.org/data-visualization) to make it more applicable at the country level. PARIS21 supported a competition for the best data story by journalists in Rwanda following the Africa Statistics Day Infographic Competition for Data Journalism and a training course for journalists and statisticians on communication and public relations. The Secretariat also supported the editing, design and printing of advocacy materials for disseminating its activities by countries and partners who requested them. As an example, it helped the Palestinian Authority advocate for more resources for its 2017 census, created brochures to communicate activites in Guinea and by the United Nations Economic Commission for Africa (UNECA), and helped with communication for the VII Statistical Conference of Portuguese-speaking countries. PARIS21, the Global Partnership for Sustainable Development Data (GPSDD) and UNSD co-organised a side event at the High Level Political Forum on “SDGs, Data and Capacity Development: From a Data Revolution to a Capacity Revolution”. The involvement of PARIS21 remained strong in the financing for data working group of GPSDD. The Secretariat updated its website with a new user-friendly design to communicate its activities better. The PARIS21 logo was also also updated to reflect the overall visual identity.

2.3 Advocating globally for national statistics

PARIS21 continues to advocate for national statistics at the regional and international levels through its active membership in various high-level working groups, including:

Chair of the Task Team on Capacity Development 4.0

Issue partner of the High-level Group for Partnership, Coordination and Capacity-Building for

the 2030 Agenda (HLG-PCCB)

Co-chair of the NSDS Guidelines Reference Group

Co-chair of the Global Strategy to improve Agricultural and Rural Statistics Task Team (FAO)

Co-chair of the Programme Committee for the 1st UN World Data Forum (Cape Town, South

Africa)

Member of the Programme Committee for the 2nd UN World Data Forum (Dubai, UAE)

Founding member of the Global Network of Institutions for Statistical Training (GIST)

Member of the Independent Expert Advisory Group (IEAG) on a Data Revolution for

Sustainable Development

Member of the Committee for the Coordination of Statistical Activities (CCSA)

Member of the Friends of the Chair Group (FOC) on Broader Measures of Progress

Member of the Steering Committee for the Praia City Group on Governance Statistics

http://paris21.org/data-visualization

http://paris21.org/data-visualization


Member of the Africa Civil Registration and Vital Statistics (CRVS) Regional Core Group

Member of the Regional Steering Group for CRVS in Asia and the Pacific

Member of the Forum on African Statistical Development (FASDEV)

Member of the UN Global Working Group (GWG) on Big Data for Official Statistics

Member of the Working Group on Statistical Data and Metadata Exchange (SDMX)

Member of UNECE Task Force on the Value of Official Statistics

Member of Task Group on Capacity Development (TGCAP)

Observer of ECA-AUC Statistical Commission for Africa and Committee of Directors-General of

National Statistics Offices (StatCom-Africa/CoDG)

Observer of the ASEAN Community Statistical System (ACSS) Committee Meeting

Observer of the Meeting of Heads of SAARC Statistical Organizations (SAARCSTAT)

Observer of the Standing Committee of Caribbean Statisticians (SCCS)

Observer of the Pacific Statistics Steering Committee (PSSC) Statistics

Observer of the Inter-agency and Expert Group on SDG Indicators (IAEG-SDGs) )

In its effort to ensure sustainable funding for the NSS, PARIS21 organised an advocacy activity for Comoros on funding statistics. This was a high-level event on how to mobilise domestic funding for statistical activities of the NSS. The Secretariat also contributed to the OECD’s 2017 Development Co-operation Report (DCR) by providing inputs on data development and statistical capacity building in developing countries. The report was successfully launched in London and has been promoted around the world to help raise awareness of the need to develop strong national statistical systems. PARIS21 participated in the first UN World Data Forum, which brought together 1 400 data experts from over 100 countries. The Secretariat was co-chair of the Programme Committee, and organised multiple sessions within the capacity development thematic track, as well as a side-event on gender statistics with Data2X. The forum saw the launch of The Cape Town Global Action Plan for Sustainable Development Data (CTGAP), which will shape the development of statistics at the global level. PARIS21 actively participated in the International Conference on SDGs and supported the organisation of the sessions on "Revitalizing Capacity Development in Data and Statistics” and “Financing and Partnerships for the SDG Monitoring”. At this latter session the results of the PRESS 2017 were launched, and the session identified some actions for stakeholders to improving financing, including strengthening advocacy, incorporating statistical needs into national budgeting and expenditure frameworks, and finding better mechanisms to incorporate private sector initiatives. PARIS21 has facilitated and drawn on recommendations from CD 4.0, on mobilising funding for SDGs, and NSOs’ role in big data and the data ecosystem.

2.4 Participating in international, regional and national fora

The Secretariat helped countries participate in important global statistical discussions to promote capacity building and give them a voice in global fora. NSS representatives were supported by PARIS21 to attend the United Nations Statistical Commission (UNSC) and PARIS21 Board Meeting. The UNSC meeting was also an opportunity for PARIS21 to hold its Executive Committee Meeting and organise a side event on “Effective National Statistical System Assessments: Heading Towards Open Frameworks?”.


These events and others are illustrated in Table 1 below.

TABLE 1: PARIS21 Secretariat participation in partner events (selected highlights3)

Event (Partner) Location Date

UN World Data Forum (UN) Cape Town, South Africa January

High Level Statistics Meeting on Somalia Nairobi, Kenya January

Mutual Accountability through Results: Supporting partner countries’ development goals and results frameworks (EU-OECD)

Brussels, Belgium February

Gulf Cooperation Council (GCC) Statistical Forum Riyadh, Saudi Arabia March 48th Session of the UN Statistical Commission New York, USA March 5th Meeting of the Inter-Agency and Expert group on the SDGs Indicators Ottawa, Canada March Extraordinary AUC Committee of NSO DGs on the revised SHaSA Dakar, Senegal March High Level Dialogue meeting for the Ministry of German Development Cooperation Berlin, Germany May High Level Meeting on Data for Development in Africa Nairobi, Kenya June United Nations High-Level Political Forum on Sustainable Development (HLPF) Washington D.C., USA July 30th Session of the Committee for the Coordination of the Statistical Activities (CCSA) Muscat, Oman September 2017 International Conference on Sustainable Development Goals Statistics (ICSDGS) Manila, Philippines October MENA-OECD Women's Economic Empowerment Forum Cairo, Egypt October International Conference on SDGs Manila, Philippines October

In 2017, the Secretariat funded 127 NSO representatives and participants to attend the regional and global events listed in Table 2. Some were organised by PARIS21, while others were co-organised by partners to introduce them to international processes and foster networking opportunities. The aim was also to enrich discussions in regional and international events with national perspectives and provide countries with opportunities to share their challenges and successes.

3 For a full list of partner events, see Annex 1 at the end of this report.


TABLE 2: Regional and global events funded by the PARIS21 Secretariat

Event Location Date No. of funded participants

INS Côte d’Ivoire, NSS peer review Abidjan January 7

Statistical Leadership Training for Heads of NSOs in Asia

Chiba, Japan February 6

UN Statistical Commission New York March 6

P21 Annual Meeting Paris April 17

RSDS Workshop with CARICOM Surinam June 8

NSDS Libya Workshop Tunis July 10

Bogota Legal Review Bogota July 11

RSDS Workshop Cayman Islands October 11

NSDS Libya Workshop Tunis November 10

4th Regional Training NSDS Chiba, Japan November 5

Regional Leadership & NSS Coordination Skills Training

Yaoundé November 11

NSS Assessment & NSDS Drafting Ecuador Quito December 3

P21 Cross Regional Forum on SDG implementation: What is needed in terms of data, institutions and funding

Paris December 17

P21 New Approaches to Capacity Development Workshop

Paris December 5

3. CO-ORDINATION & MONITORING

Key highlights

Organised 3rd NSDS Guidelines Reference Group Meeting with Statistics Canada

Contributed to SDG Indicator 17.18.2 on Statistical Legislation being upgraded from Tier III to II

Organised First NSDS in Libya

3.1 National Statistical System Peer Reviews

In 2017, PARIS21 conducted an NSS peer review in Côte d’Ivoire. As part of this exercise, PARIS21 used its own recently developed statistical capacity self-assessment, the Statistical Evaluation and Progress (STEP). The method was piloted in four countries (Ecuador, Nigeria, Philippines and Senegal), and was also used by the OECD’s Development Centre to assess the statistical capacity of Paraguay and Thailand as part of their multi-dimensional reviews. In collaboration with EUROSTAT, the Secretariat worked jointly with the Statistical, Economic and Social Research and Training Center for Islamic Countries (SESRIC) to prepare peer reviews of its member countries.


3.2 National and Regional Strategies for the Development of Statistics

In February 2017, the Secretariat organised the third meeting of the NSDS Guidelines Reference Group. The group, co-chaired by Statistics Canada and the PARIS21 Secretariat, comprises experts from countries and organisations from all regions, and aims to guide the annual updates of the NSDS Guidelines. Key emerging issues for NSDSs were added, as was the concept of versions (e.g. NSDS Guidelines 2.3). The following sections were updated: SIDS, subnational strategies for the development of statistics, ADAPT, the 2030 Agenda, and the data revolution. New chapters were added on open data (with Open Data Watch and the World Bank) and data dissemination; and new examples were added of NSDSs, RSDSs, sectoral strategies, NSDS roadmaps, NSDS evaluations, tools and good practice papers. The Guidelines are currently available in English, French, Portuguese, Spanish and Arabic.

NSDS support in Asia-Pacific

SDG implementation at the national level calls for strengthening and modernising national statistical systems. In an effort to come up with management strategies to achieve this in the Asia-Pacific region, the United Nations Statistical Institute for Asia and the Pacific (UNSIAP), United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP), the Government of Japan and PARIS21 co-organised the 13th SIAP Management Seminar for Heads of NSOs in Asia-Pacific. The aim was to discuss recommendations on NSS commitments for monitoring the SDGs, and whole-of-government action to produce indicators to monitor them. Recommendations include the need to prepare SDG-ready NSDSs, to update statistical legislation, to increase the use of ICT in official statistics, to foster statistical literacy, and to provide greater political support for statistics.

PARIS21 conducted the 4th Regional NSDS Training Course in Asia in partnership with UN Statistical Institute for Asia and the Pacific (UNSIAP). This benefitted eight countries that are in the process of developing their NSDS and/or are planning to develop a new one: Bhutan, India, Indonesia, Maldives, Pakistan, Philippines, Sri Lanka, and Timor-Leste (Figure 3). The training course aims to help countries prepare for their NSDS in a way that will mainstream SDG concerns by developing strategies on sectoral statistics, subnational statistics, use of other data sources, and open data. The ADAPT was presented in the training as a useful tool to map national indicator frameworks with global, regional, subnational and/or sectoral indicator frameworks and assess countries’ readiness for fulfilling SDG data requirements, which is essential in designing a new NSDS.

Figure 3: Countries receiving NSDS support from PARIS21 in 2017


In Asia-Pacific, the Secretariat supported the development of an NSDS in the Federated States of Micronesia (FSM). This involved conducting an NSS-wide assessment and an NSDS high-level launching and strategic planning workshop. One of the outputs was a strategic planning framework for the NSS. The NSDS experience in FSM resulted in the preparation of specific NSDS guidelines for SIDS4. These highlight six key principles: 1) greater political advocacy; 2) a shorter NSDS process; 3) stronger alignment between NSDS and national development strategies and regional and global development agenda; 4) greater regional statistical integration; 5) use of common NSDS templates; and 6) incorporating risk analysis into NSDS design and implementation. In Sri Lanka, an inception meeting on the NSS assessment was organised to prepare for formulating the NSDS. The Secretariat supported the Mongolia NSO by organising a workshop on the NSDS and SDGs. This was part of its support for NSDS implementation, including preparing to integrate an SDG roadmap into the NSDS. The Philippines was also assisted in preparing its new NSDS by organising a subnational statistical strategy training for participants from the regional and provincial statistics offices and local government agencies. This PARIS21 pilot activity aimed at developing a specific subnational statistics strategy that will form part of the NSDS. The Philippines’ Statistics Board approved a set of core regional indicators which will be included in the subnational statistics strategy. There are plans to expand on this work in 2018 following the experience and practice in the Philippines. In Maldives, an NSDS training and high-level launch convened various stakeholders of the national statistical system to discuss integrating into the NSDS new data requirements arising from Agenda 2030. The training was in preparation for updating/revising the Maldives’ NSDS 2010-2019 to incorporate SDG data requirements and sector data needs.

NSDS support in Africa and MENA

The Secretariat also continued NSDS support in Africa (Figure 3). PARIS21 undertook an NSDS Mid-Term Review in Botswana. The Secretariat helped Gambia restructure the country’s NSDS, and conducted final evaluations of Malawi and Zambia’s NSDSs, and a mid-term evaluation of Senegal’s. PARIS21 also undertook NSDS evaluations in Benin, Chad, Ghana and Guinea-Bissau in 2017. In Cabo Verde, the Secretariat supported the first phase of NSDS development, involving an NSS diagnostic and awareness campaign of the statistical office (INECV) and line ministries on the NSDS Guidelines in co-ordination with the World Bank. PARIS21 also supported the NSDS costing of Cabo Verde’s new NSDS in 2017, using an excel tool which uses a template based on ADAPT. In the Middle East and North Africa (MENA) region, NSDS development in Jordan was started and received substantial support from the Minister of Planning. The first NSDS was conducgted in Libya. This was done remotely in Tunisia with the collaboration of the United Nations Population Fund (UNFPA), and will be further developed with UNDP. PARIS21 also supported the Palestinian Authority in revising its NSDS.

NSDS support in Latin America and the Caribbean

In Latin America and the Caribbean, PARIS21 supported Peru in developing the NSDS (PENDES) with a national planning workshop, including an ADAPT workshop.

4 http://www.paris21.org/news-center/news/release-new-nsds-guidelines-sids

http://www.paris21.org/news-center/news/release-new-nsds-guidelines-sids


The Secretariat provided support to Grenada in organising a high-level launching forum for its NSDS and country training for stakeholders. An NSS assessment was undertaken to take stock of the current statistical situation and identify the reforms needed to strengthen the statistical system. In Jamaica, PARIS21 conducted an NSS assessment and country training as part of NSDS development. It also introduced a new element in the NSDS training specifically on open data processes, including a presentation on the status of data openness in Jamaica by Open Data Watch. This initiative led to the identification of strategies for open data.

RSDS support in Latin America and the Caribbean

As part of PARIS21’s support to develop the Caribbean RSDS, the Secretariat conducted an assessment of the regional statistical system through desk reviews and country consultations with member countries and relevant regional stakeholders. Following this assessment, a strategic planning workshop was organised in the region to draft a preliminary strategic framework reflecting the region’s vision, mission, and strategic objectives, as well as enabling mechanisms. Similarly, in Africa, PARIS21 evaluated the RSDS of the Common Market for Eastern and Southern Africa (COMESA) and planned for aligining the forthcoming RSDS with COMESA’s medium-term strategic plan. In the South Asian Association for Regional Cooperation (SAARC) region, the Secretariat supported the review and assessment of the regional statistical system in preparation for the development of the RSDS.

3.3 NSDS status

The NSDS Progress Report gives a snapshot of NSDS development in the countries which have decided to engage in the process. The latest report, produced in March 2018, covered 119 countries from International Development Association (IDA) borrower countries, low and lower-middle income countries, and all African countries. Key information from the 2018 report includes:

Of the 77 IDA borrowers, 32 are currently implementing their NSDS strategies

79% of countries are currently engaged in an NSDS process. In Africa, 33 of the 40 IDA countries are designing or implementing a statistical strategy.

Of the 27 lower-middle income countries and remaining African nations, 19 are designing or implementing strategies.

Of the 119 countries covered by the report, 17 are without a strategy and are not currently planning one.

The NSDS Progress Report for 2018 was made available on the PARIS21 website in March 2018.5

3.4 Global monitoring

PARIS21 continued to expand its NSO Database, systematically collecting information during country missions. This information is a useful input into the development of the Country Prioritisation System, which was developed to improve the preparation of the Secretariat’s Programme of Work given that it lacks sufficient resources to respond to the large demand for country support. The data collected from the NSO Database will be integrated into the prioritisation system in 2018 to provide as much information as possible on the status of NSSs.

5 http://paris21.org/nsds-status

http://paris21.org/nsds-status


PARIS21 developed in 2017 the Open Assessment Repository (OAR)6, which is an open access web tool for comparing the existing statistical capacity assessment tools so as to detect overlaps and measurement gaps. Fourteen of the most popular international tools were benchmarked against the Capacity Development 4.0 framework developed by the Task Team on New Approaches to Capacity Development. The analysis found that most of the focus in the use of these tools is on detecting the application of international standards and assessing current statistical production processes. The capacity of employees – their technical and soft skills – and the system itself (e.g. knowledge sharing between institutions) – tend to be overlooked. PARIS21 developed the OAR to support the work of the Measurement sub-group of the Task Team on New Approaches to Capacity Development (CD4.0). A detailed report has been prepared by the Task Team. As the OAR database is public it allows further on-line tabulation, and more assessments can be input. A special effort will be made in 2018 to identify in which countries and which years these assements have been used. The Secretariat developed and released new Busan Action Plan for Statistics (BAPS) indicators on statistical literacy in 2017. To echo the call for statistical literacy by the international community, a PARIS21-led task team has developed a first composite indicator to measure global statistical literacy based on newspaper articles. The statistical literacy score provides a relevant and replicable measure of the use of statistical concepts among the population. The indicator covers 60 countries for the period 2016-2017. The Secretariat contributed to the OECD’s Multidimensional Country Reviews, with an assessment of statistical capacity of Paraguay and Thailand. The implementation of these assessments and the lessons learned were used to review and update the Statistical Evaluation and Progress (STEP) tool which is also part of the OAR. At the global level, as custodian agency of the SDG indicators on statistical legislation (17.18.2), statistical plans (17.18.3) and funding for statistics (17.19.1), PARIS21 contributed to the 2017 SDG Report of the UN Secretary General by providing data and storylines on progress made by countries and donors to build strong statistical systems. Following the 2017 reporting, the indicator 17.18.2 on statistical legislation was upgraded from Tier III to Tier II. The Secretariat continued its work on strengthening the NSDS framework by updating the methodological guidelines for the African Center for Statistics (ACS) and the Strategy for the Harmonization of Statistics in Africa (SHaSA) in NSDS, in collaboration with the African Union Commission.

3.5 SDG readiness

The secretariat continued to expand ADAPT activities for assessing SDG readiness, with a view to supporting countries in planning and costing corresponding statistical activities in their NSDSs. This work is being done in collaboration with UNDP and UNSD, as reported above. While in Asia and Latin America most countries have completed their SDG readiness assessments, many countries in Africa are still working on these exercises or are still to initiate them.

3.6 Country Report On Support to Statistics (CRESS)

The Secretariat has pursued its efforts to further deploy the Country Report on Support to Statistics (CRESS), which aims to provide information on the level and source of financing for statistics. The

6 http://oar.paris21.org/

http://oar.paris21.org/


objective is to establish baseline information on government funding for statistics, as well as on funding received by NSSs from external sources. In 2017, the tool was used in Africa in Senegal and Mali. In Uganda, the CRESS was disseminated through a Donor Coordination Group in order to improve and strengthen engagement and co-ordination with development partners. In Asia, the Cambodia CRESS was disseminated to stakeholders and used as the basis for preparing a budget for the new NSDS.

3.7 Partner Report on Support to Statistics (PRESS)

Since 2008, PARIS21 has conducted the annual Partner Report on Support to Statistics (PRESS), which gathers information from financial and technical partners on their support financial to statistical development. The report draws on three distinct data sources:

1) The Credit Reporting System (CRS) administered by the OECD Development Assistance Committee (DAC), which records data from DAC members and some non-DAC donors, and provides a comprehensive accounting of official development assistance (ODA). Donors report specific codes for the sector targeted by their aid activity. Statistical capacity building is designated by code 16062.

2) To include projects that have some statistical component, the above information is complemented by a data-mining methodology to identify CRS projects with statistical capacity building activities (described further below).

3) The PARIS21 Secretariat supplements these data with an online questionnaire completed by a global network of reporters. The questionnaire covers a subset of the variables collected in the CRS and some additional variables specific to statistical capacity building.

The PRESS 2017,7 published in October 2017, updated the results from the previous PRESS reports for calendar years 2006 to 2015 with a revised methodology. It also introduced new data for 2014 from the CRS. The revised PRESS methodology uses a new text-mining technique to identify statistics projects in the CRS database that are not currently labelled as support to statistics. This approach avoids double counting projects as it uses the CRS as the only data source for the OECD DAC members. To ensure comparability over time, this methodology has been applied retrospectively for all years. Support to statistics amounted to USD 541 million in 2015, the latest year for which data are available. The share of ODA that was focused on data and statistics was 0.30% in 2015, a slight improvement on last decade’s average (0.27%). For this year’s edition, PARIS21 developed an online data portal to visualise and disseminate the PRESS data.

3.8 Stakeholder co-ordination

PARIS21 continued to develop statistics by providing its expertise and engaging with a range of stakeholders across various regions. The Secretariat participated in the 7th ASEAN Community Statistical System Committee Meeting to present PARIS21’s accomplishments in the region in 2017, as well as planned activities for 2018. A special presentation on CD4.0 was likewise made to solicit feedback from the heads of ASEAN NSOs. It participated in the Committee of Director Generals (CoDG) of Africa in Nouakchott, Mauritania, the AFRISTAT Directors Committee, and the Special CoDG for revising SHaSA. The CRVS Core Group retained the attention of PARIS21, who attended the meeting of the platform.

7 Available at www.paris21.org/PRESS2017.

http://www.paris21.org/PRESS2017


In Malawi, the Secretariat held a meeting of stakeholders in trade statistics to strengthen co-ordination amongst them at country level to pave the way for the next trade statistics sector plan.

3.9 Logframe: partnership progress

This section presents progress on the PARIS21 key logical framework indicators during 2017. To measure progress towards the partnership’s goals, PARIS21 established a task team to define the PARIS21 logical framework indicators (logframe). Its work was broken down into two subsections: Part I measures the progress of the partnership, and Part II of the Secretariat. In 2010, the task team agreed on baselines, milestones, and targets. Every year since 2011, the Secretariat has been collecting data to measure baselines and milestones. The designation of PARIS21 as the Secretariat for the Busan Action Plan for Statistics (BAPS) in 2012 led to the development of a new logical framework to monitor progress against the BAPS objectives and actions. The Task Team for Defining Implementation Arrangements for the BAPS completed its work on the logical framework in the first quarter of 2014. It mirrors the BAPS’ three outcome indicators – one for each of the BAPS objectives – and ten additional indicators for each of the five BAPS actions. Eleven of these thirteen indicators are the same or similar to indicators in the PARIS21 logframe, including eight of the ten key indicators. Given the overlap between the two logframes, and the request to transition towards a light, low-response burden process, the PARIS21 Secretariat has exclusively reported on the BAPS logframe since 2015. For the BAPS logframe, the following ten indicators are considered key: Outcome indicators:

0a: Fully integrate statistics in decision making (average score on the use of statistics in policy making process)

0b: Promote open access to statistics (number of target countries signed up to Open Government Partnership)

0c: Increase resources for statistical systems (global estimated commitments to statistical development in target countries over a rolling, three year period)

Output indicators:

1a: Share of countries whose government has adopted an NSDS which is currently being implemented

2a: Number of online survey catalogues published by Accelerated Data Program (ADP) countries or others, using the International Household Survey Network (IHSN) cataloguing tool

2b: Number of countries that have an Open Data Readiness Assessment (ODRA) with World Bank support

3a: Share of MDG indicator series for which the majority of data are "country data"

5a: Share of annual aid to statistics (as reported in the PRESS) relative to total ODA

5b: Share of aid to statistics (as reported in the PRESS) that is aligned with NSDS

5c: Annual commitments (in millions) to statistical development

As illustrated in Table 3 and Table 4 below, six of the ten key indicators for the BAPS logframe have been achieved.


TABLE 3: Progress in BAPS logframe outcome indicators

Indicator Trend: Increasing or Decreasing?

Milestone: Achieved or

Not?

Indicator Value (2017)

Deviation from

Milestone (2017)

0a: Fully integrate statistics in decision making (average score on the use of statistics in policy making process)

Increasing Achieved 75.3 0.4%

0b: Promote open access to statistics (number of target countries signed up to Open Government Partnership)

Increasing Achieved 55 37.5%

0c: Increase resources for statistical systems (global estimated commitments to statistical development in target countries over rolling, three year period)

Increasing Achieved 1.80 Billion USD

6%

TABLE 4: Progress in BAPS logframe output indicators In the graphs, red lines indicate targets and blue lines give the measured values.

Indicator Trend: Increasing

or Decreasing?

Milestone: Achieved

or Not?

Indicator Value

(2017)

Deviation from

Milestone (2017)

1a: Share of countries whose government has adopted an NSDS which is currently being implemented

Increasing Achieved 60% 0%

1b: Develop a methodology to measure NSDS quality

Increasing Achieved 22 10%

2a: Number of online survey catalogues published by ADP countries or others, using the IHSN cataloguing tool


2b: Number of countries that have an Open Data Readiness Assessment (ODRA) with World Bank support


3a: Share of MDG indicator series for which the majority of data are "country data"

NA8 NA NA NA

3b: Develop measure of knowledge and skills (statistical literacy) for target countries

Increasing Achieved 18 2.9%

8 From 2016 onwards: Indicator SDG for target 17.18: "Proportion of sustainable development indicators with full

disaggregation produced at the national level." The data are not yet available in the SDG database for the baseline

year 2016.


4a: Number of global summits that include explicit reference to statistical development and/or data gaps

Increasing Achieved 1.32% 1.5%

5a: Share of annual aid to statistics (as reported in the PRESS) relative to total ODA

Increasing Achieved 0.3% 11%

5b: Share of aid to statistics (as reported in the PRESS) that is aligned with NSDS

Increasing Achieved 97% 13 %

5c: Annual commitments (in millions) to statistical development

Increasing 541 Million

USD

NA

The main conclusion to be drawn from this monitoring exercise is that the trend for most indicators is increasing and several milestones have already been met. PARIS21 has achieved most of the targets. The targets for these objective remain within reach. As the CTGAP gains traction, PARIS21 will be developing a new results framework that builds upon the action plan and includes current BAPS indicators related to PARIS21 activities, while retaining a global monitoring role.

4. TECHNICAL SUPPORT

Key highlights

Development of a National Assurance Quality Framework (NAQF) in Cameroon

Advanced technical support provided in 8 countries on using ADAPT to improve data planning

Joined UN SDMX Working Group

Provided support to the statistical laws in Grenada and CAN region

4.1 Supporting quality processes

In its efforts to improve data quality in developing countries, the Secretariat supported the development of a National Assurance Quality Framework (NAQF) in Cameroon in partnership with AFRISTAT and Statistics Canada.

4.2 Improving access to data

Expertise in Statistical Data and Metadata Exchange (SDMX) can help countries to co-ordinate and disseminate statistics widely within and beyond the national statistical systems.

PARIS21 participated in the 6th Global SDMX Conference "SDMX for the Data Revolution”. It also conducted SDMX training in Ecuador to help the country pilot SDMX to reduce the reporting burden and enhance data dissemination.

4.3 Supporting statistical laws

PARIS21 supports the review and revision of outdated statistical legislation to improve the regulatory framework and co-ordination arrangements in governing the statistical system, as well as to strengthen the role of the national statistical offices.


The Secretariat continued its engagement with Grenada, which started in 2016, and which aims to update the statistics law. Work involved conducting validation and consultation meetings with the Grenada Legal Affairs office on the feasibility of the recommended changes to the law to ensure it will be passed by Cabinet and Parliament. One of the important recommendations in the revised statistics law is to upgrade the Grenada Central Statistics Office to a Statistical Institute. The Grenada Government has also asked PARIS21 to help it prepare recommendations for the institutional reforms and for the transformation of the statistics office in 2018. A workshop on statistical laws in the Andean Community (CAN) region was organised following a request to review statistical laws in the region.

4.4 Improving data planning through adapt

PARIS21 organised country-level training workshops on how to use ADAPT to improve data planning (including data gaps assessments, data costing, etc.). These mostly targeted NSOs and the National Planning Commissions, but also other stakeholders from across the NSS. Countries covered in 2017 include Cambodia, Cameroon, Guinea, Mongolia, Peru, Rwanda, Sudan, and Tanzania.

5. PARTNERSHIPS

In its country work, PARIS21 has pursued collaboration with a number of entities including:

African Development Bank (AfDB)

Agence Nationale de Statistique et de la Démographie (ANSD)

Arab Institute for Training and Research in Statistics (AITRS)

Association of Southeast Asian Nations (ASEAN)

Observatoire Économique et Statistique d’Afrique Subsaharienne (AFRISTAT)

African Union Commission (AUC)

Bill and Melinda Gates Foundation

Caribbean Community (CARICOM)

Centre for Creative Leadership (CCL)

Common Market for Eastern and Southern Africa (COMESA)

Communidad Andina (CAN)

Data2X

Department for Internaional Development (DFID)

European Union (EU)

Gesellschaft für Internationale Zusammenarbeit (GIZ)

Global Partnership for Sustainable Development Data (GPSDD)

Institut National de la Statistique (INS) du Cameroun

Institut National de la Statistique et des Etudes Economiques (INSEE)

Instituto Nacional de Estatística (INE) Chile

Instituto Nacional de Estadística y Geografía (INEGI) Mexico

Open Data Watch (ODW)

Organisation for Economic Co-operation and Development (OECD)

Overseas Development Institute (ODI)

Pacific Community (SPC)

Philippine Statistics Authority (PSA)

Central American Integration System (SICA)

Statistical, Economic and Social Research and Training Centre for Islamic Countries (SESRIC)

Statistical Institute for Asia and the Pacific (SIAP)

https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&sqi=2&ved=0ahUKEwjk-crW25zLAhVENhoKHWj9BJQQFggdMAA&url=http%3A%2F%2Fwww.ansd.sn%2F&usg=AFQjCNFEgWsu4xpUOgFsZulfzboOnhp-RQ&sig2=YLPlBoU6DucoUui9eTM_sQ&bvm=bv.115339255,d.d24


Statistics Canada

United Nations Development Programme (UNDP)

United Nations Economic Commission for Africa (UNECA)

United Nations Economic Commission for Western Asia (UNESCWA)

United Nations Population Fund (UNFPA)

United Nations Statistics Division (UNSD)

United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP)

United Nations Economic Commission for Europe (UNECE)

University of the South Pacific (USP)

World Bank

FIGURE 4: PARIS21 Regional and international partnerships

6. OVERALL MANAGEMENT

The Secretariat held its board meeting from 5-6 April 2017; two Executive Committee meetings were also held in March and November.

To reach out to its partners more, and more effectively, the Secretariat strengthened its communications strategy in a range of areas outlined below.

6.1 Website and social media

In the fourth quarter of 2017, PARIS21 underwent a rigorous change to its visual identity. By adopting a new logo and new website, PARIS21 aimed to adapt its communications to better reflect the evolving nature of its overall work and mission. Recent trends in the use of the website are as follows:

Total visits decreased from 32 597 in 2016 to 26 768 in 2017

Total number of users decreased from 19 839 in 2016 to 15 965 in 2017

One possible explanation for the decrease in use is the complete overhaul of the website in summer 2017 which took more time than originally expected and led to a few technical glitches in terms of

https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&sqi=2&ved=0ahUKEwi9n92y25zLAhXIuBoKHX86AoUQjBAIJDAB&url=http%3A%2F%2Fwww.statcan.gc.ca%2Fstart-debut-eng.html&usg=AFQjCNFFNQ_It-iGXBeQa42z5CyrF67mXA&sig2=CdXZTRKySnlK0e4qe98SYQ&bvm=bv.115339255,d.d24

https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiblpOQ25zLAhVJfhoKHek3Aj8QFggcMAA&url=http%3A%2F%2Fwww.unfpa.org%2Ffr&v6u=https%3A%2F%2Fs-v6exp1-ds.metric.gstatic.com%2Fgen_204%3Fip%3D78.41.129.14%26ts%3D1456739383790073%26auth%3Dsmctn3bam73zzcnx6aikw6d3ykerqlu7%26rndm%3D0.9982080527115613&v6s=2&v6t=556108&usg=AFQjCNF0z5Ng2c-tsSC0Btn14YGsSmd_Ew&sig2=-3tYntmEp0oI8jTbPzu9-A&bvm=bv.115339255,d.d24


accessibility. While the overall number of website visits decreased in 2017, the Secretariat hopes to increase website visits and use in 2018 by increasing traffic from social media and newsletters. Aside from the homepage and contact details, the most popular pages on the website in 2017 were those on the NSDS and Annual Meetings. The majority of website visits (20.8%) originated in France, with the other primary visitors coming from the United States, Canada, India and the Philippines. 84% of visits came from a desktop/laptop, 14% from mobile and 2% from a tablet. Throughout 2017, traffic was largely driven to the website via Google searches (55% of visits in 2017, up from 51% in 2016). Social media has continued to play a significant role in PARIS21’s online communications. The number of followers on Twitter has grown (1 570 at the end of 2016, rising to 2 140 at the end of 2017). Many of these followers are of high quality and tweets have high engagement rates. Peak stories in 2017 include: the UN Data Forum, the 2017 PRESS and the CD4.0 workshop. In 2017, PARIS21 continued to interview national statistical offices and other data actors for the Data Talk podcast on SoundCloud. The five podcasts produced in 2017 were listened to around 450 times. The Secretariat also created a video at the UN Data Forum which highlights the event.9

6.2 Publications and printed materials

PARIS21 continued to provide communications support to countries through the design, layout, and printing of advocacy materials. PARIS21 published two papers in its discussion paper series on “capacity development” and “new data sources”.10 It also helped to create advocacy materials for Côte d’Ivoire, Guinea and UNECA, amongst others.

6.3 PARIS21 Bulletin, news flashes and Huffington Post

The PARIS21 Bulletin11 (previously known as the Newsletter) continued to be an important point of contact between the Secretariat and its partners. Two newsletters (including one spring and one fall edition) were sent out in 2017 to nearly 4 000 individuals. These bulletins were sent using the email marketing service MailChimp, which allows for more flexible design creation and readership analysis. News flashes remained a central part of PARIS21’s communication outreach and provided an effective way to promote events, new publications and online editorials. In 2017, the PARIS21 Secretariat Manager continued blogging for the US-based Huffington Post. This platform allows PARIS21 to reach a wider audience (nearly 100 million visitors per month) and share data, statistics and development related news to a general public. Four blog posts12 were published in 2017 and focused on NSS co-ordination, big data and funding.

9 https://vimeo.com/200788122

10 http://www.paris21.org/paris21-discussion-and-strategy-papers

11 http://www.paris21.org/news-centre/newsletter

12 http://www.huffingtonpost.com/author/johannes-jatting

https://vimeo.com/200788122

http://www.paris21.org/paris21-discussion-and-strategy-papers

http://www.paris21.org/news-centre/newsletter

http://www.huffingtonpost.com/author/johannes-jatting


ANNEX I: PARIS21 SECRETARIAT PARTICIPATION IN PARTNER EVENTS (FULL LIST)

Event (Partner) Location Date

UN World Data Forum Cape Town, South Africa January

Joint High Level Statistics Meeting on Somalia Nairobi, Kenya January

Seminar on Mutual Accountability Through Results: Supporting partner countries’ development goals and results frameworks, co-hosted by the EU and the OECD

Brussels, Belgium February

Gulf Cooperation Council (GCC) Statistical Forum

Riyadh, Saudi Arabia March

Presentation on a panel for the Science and Development Forum

Zurich, Switzerland March

UN Statistical Commission New York, USA March

5th Meeting of the Inter-Agency and Expert group on the SDGs Indicators

Ottawa, Canada March

2017 SDG Reports meeting New York, USA March

Extraordinary AUC Committee of NSO DGs on the revised SHaSA

Dakar, Senegal March

Presentation of P21's role and progress on OPAL in the International Data Responsibility Group's annual conference

The Hague, Netherlands March

Expert Meeting on Statistics for SDGs Geneva, Switzerland April

High Level Dialogue meeting for the Ministry of German Development Cooperation

Berlin, Germany May

Expert workshop hosted by GIZ’s Competence Center for Public Finance and Administration and the Advisory Program Governance

Frankfurt, Germany

June

High Level Meeting on Data for Development in Africa

Nairobi, Kenya June

UNSD-DFID Project on SDG Monitoring Bangkok, Thailand June

1st PSA Administrative Data Seminar Manila, Philippines June

United Nations High-Level Political Forum on Sustainable Development (HLPF)

Washington D.C., USA July

61st International Statistical Institute (ISI) World Statistics Congress

Marrakech, Morocco July

Workshop on sound institutional environment, cooperation, dialogue and partnerships for the production and utilization of SDG indicators

Libreville, Gabon July

Inter-regional seminar on reviews of national statistical systems in SIDS

Nadi, Fiji August


30th Session of the Committee for the Coordination of the statistical Activities (CCSA)

Muscat, Oman September

Final internal review of the AGRIS Survey Methodological Handbook organised by the Food and Agriculture Organization

Rome, Italy September

AFRISTAT's Annual Meetings 2017 Bamako, Mali September

2017 International Conference on Sustainable Development Goals Statistics (ICSDGS)

Manila, Philippines October

Launch of OECD Development Cooperation Report focusing on Data for Development

London, UK October

6th SDMX Global Conference Addis, Ethiopia October

International Conference on SDGs Manila, Philippines October

ASEAN Community Statistics System Committee Meeting

Manila, Philippines November

Launch of the World Bank's Independent Evaluation Report on Data

Washington D.C., USA November

3rd Workshop of the UNSD Development Account Project on Strengthening Capacity for Post-2015 Monitoring

Manila, Philippines November

UNSD Workshop on Integrating Non-Traditional Data Source in the Production of the SDG Indicators

Almary, Kazakhstan November

Dissemination event to present the 2017 Development Cooperation Report

Bonn, Germany December

CoDG 2017 Nouakchott, Mauritania December

SIAP Management Seminar Tokyo, Japan December

IV

SECRETARIAT PROGRAMME OF WORK & BUDGET

(2018)

46 | Secretariat Programme of Work and Budget (2018)


IV. PROPOSED PARIS21 SECRETARIAT PROGRAMME OF WORK &

BUDGET (2018)

CONTENTS INTRODUCTION ......................................................................................... 48 1. PROGRAMME OF WORK ....................................................................... 48

1.1 Building on the contributions of partners ....................................... 48 1.2 Country selection ............................................................................ 50 1.3 Pillar 1: Knowledge-Sharing and Innovation Incubator .................. 51 1.4 Pillar 2: Advocacy ............................................................................ 53 1.5 Pillar 3: Co-ordination and Monitoring ........................................... 55 1.6 Pillar 4: Technical Support ............................................................... 56

2. COMMUNICATIONS .............................................................................. 57 3. MANAGEMENT ..................................................................................... 58 4. BUDGET ................................................................................................. 58


INTRODUCTION

Following the approval of PARIS21’s 2016-2020 Strategy at the 2015 Annual Meetings, the PARIS21 Secretariat has structured its Programme of Work around the strategy’s four pillars: Knowledge-Sharing and Innovation Incubator, Advocacy, Co-ordination and Monitoring, and Technical Support. This document contains the proposed detailed Programme of Work for the PARIS21 Secretariat in 2018, based on currently available funding.

1. PROGRAMME OF WORK

Through the implementation of the four pillars of the PARIS21 strategy, the work programme aims to help strengthen statistical systems and develop capacity across the national statistical systems (NSSs) of developing countries. This work programme outlines the objectives and activities under the four pillars of the new strategy, and also contains a section on general management. The activities presented in this document are planned based on currently available funding and firm commitments to PARIS21, which amount to EUR 4 145 704 (table 5). These activities have been selected using several criteria, in particular: those which follow up on activities undertaken in the previous year (e.g. institutional strengthening following an NSS assessment in the previous year); a firm written request from countries with specific timelines; the secured involvement of other partners; an adequate implementation of the strategy’s four pillars; and a balanced distribution of activities among regions. However, it must be noted that in many cases the activities proposed depend on the level of political advancement underpinning their launch and implementation at the national or regional level and might suffer considerable delays or cancellation based on shifting priorities on the part of beneficiary country governments. They may also depend, on additional funding received by the Secretariat during the year for undertaking new activities. Therefore the Programme of Work needs to remain flexible to adapt to such changes13.

1.1 Building on the contributions of partners

The implementation of programme activities will be done in close collaboration with the following partners. UK Department for International Development (DfID) In addition to funding, DfID will facilitate advocacy interventions, and actively contribute to and chair task teams. The use of technical experts from the UK’s Office for National Statistics (ONS) and statistics advisors from DfID in selected activities, according to their availability, is also under discussion. PARIS21 will link up with DfID statistical advisers to ensure connections are made where relevant. Thanks to DFID’s close involvement in the launch and follow-up of the OECD’s report on Data for Development, there is now a window of opportunity to get the countries in the OECD’s Development Assistance Committee interested in this work. The Secretariat will support DfID’s, and other member countries, efforts in setting up a working group and a work stream in the DAC’s next programme of work by helping in the preparation and running of a second consultative meeting in the summer of 2018.

13 It should be noted that the estimated funding available in 2017 amounted to EUR 4 325 162; thus the 2018 funding has fallen by EUR 179 458.


Global Affairs Canada Supported by funding from Global Affairs Canada, the Secretariat will collaborate with Statistics Canada to identify common areas of intervention and resource personnel for ad hoc interventions in countries, provide expert review of documents, and develop joint events in regional and international fora. Collaboration on quality assurance frameworks will be enhanced at the regional level in Africa and Latin America, and potentially Asia. Eurostat Eurostat provides co-funding for several activities and is a close partner in implementing peer reviews in Africa. Along with The Statistical, Economic and Social Research and Training Centre for Islamic Countries (SESRIC), Eurostat oversees the deployment of Statistical Data and Metadata Exchange (SDMX) training, and statistical capacity assessments. Further work on the Open Assessment Repository (OAR) will benefit from Eurostat’s Snapshot tool. World Bank PARIS21 collaborates with the World Bank country offices on their various statistical programmes by providing technical co-operation. Collaboration with the Development Data Group advances international advocacy efforts and expert reviews. Further collaboration with the Research Support Budget (RSB) is also under consideration. Inter-American Development Bank (IDB) Collaboration with the IDB involves developing selected National Strategies for the Development of Statistics (NSDS) in the Caribbean region. African Development Bank (AfDB) Synergies for regional events are being established with the AfDB – in particular for co-organising two sub-regional Advanced Data Planning Tool (ADAPT) training of trainers. Asian Development Bank (ADB) Collaboration with the ADB involves piloting big data projects in selected Asian member countries. Statistical Institute for Asia and the Pacific (SIAP) Collaboration with SIAP covers the organisation and co-financing of a regional training on NSDS and on leadership for selected member countries. Royal Statistical Society PARIS21 is in advanced discussions with the Royal Statistical Society on the use of technical experts from the organisation. These experts will support the implementation of the PARIS21 work programme, especially focusing on statistical capacity development in developing and emerging countries by providing technical expertise to country and regional activities and to knowledge products developed by PARIS21. Organisation for Economic Co-operation and Development (OECD) In addition to hosting PARIS21, the OECD provides guidance to the Secretariat, expertise in the development of various tools, and information on partners’ commitments, which feeds into the Partner Report on Support for Statistics (PRESS). In addition, PARIS21 will work with the Statistics and Data Directorate (SDD) (previously known as the Statistics Directorate – STD) on piloting .Stat Suite in selected countries.


Global Partnership on Sustainable Development Data (GPSDD) The PARIS21 Secrectariat will continue to work closely with the GPSDD to maximise synergies for promoting data for development. PARIS21 is a member of the Technical Advisory Group of GPSDD as well as an active member of the working group of “financing data”, which aims to document and quantify the value of data. High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB) PARIS21 will continue to support the HLG-PCCB as an issue partner and contribute to the implementation of the Cape Town Global Action Plan for Sustainable Development Data (CTGAP). In 2018 the work of this group will focus on the implementation of the Cape Town Global Action Plan for Development Data in particular looking at various funding arrangments, including the possibility of a Global Fund on Development Data. PARIS21 has been requested to conduct a feasibility study whose initial results will be presented at the UN World Data Forum in October in Dubai. PARIS21’s proposed programme of work for 2018 has been developed with a view to contribute to the implementation of the Cape Town Global Action Plan, and identifying effective steps towards its operationalisation. Other partners For emerging and new topics, such as Capacity Development 4.0, the Secretariat may team up with new partners including those from the private sector, non-government organisations (NGOs) and foundations. At the country level, the key implementation partners will remain NSS actors, often the National Statistical Office (NSO), with the inclusion of civil society organisations (CSOs). At the regional level, partners include member organisations such as the African Union Commission (AUC), Caribbean Community (CARICOM), Pacific Community (SPC), Association of Southeast Asian Nations (ASEAN), and South Asian Association for Regional Cooperation (SAARC); technical organisations such as the Observatoire économique et statistique d'Afrique subsaharienne (AFRISTAT); development banks such as the AfDB; and UN Economic Commissions, in particular the United Nations Economic Commission for Africa (UNECA), Economic and Social Commission for Western Asia (UNESCWA), Economic and Social Commission for Asia and the Pacific (UNESCAP), and the Economic Commission for Latin America and the Caribbean (UNECLAC). Although many of the bilateral donor partners may not directly engage or partner with the Secretariat in implementing activities, they have a strong role to play in championing and advocating for the activities of PARIS21.

1.2 Country selection

PARIS21’s country-level activities are based on direct formal requests from countries, mostly from the heads of the NSOs. However, the demand for support is greater than the Secretariat’s funds; therefore a prioritisation process for country interventions is used. In the last quarter of the year prior to implementation, the Secretariat undertakes internal discussions and consultations with regional and international organisations active in the concerned country to inform this process. The Country Prioritisation System uses a set of qualitative and quantitative variables to determine priority countries:

Income group: low-income countries (LICs), all countries in Africa, low and middle-income

countries (LMICs) and/or International Development Association (IDA) and blend countries

have a greater likelihood of being selected.


Country status: fragile states and small island developing states (SIDS) have a greater

likelihood of being selected.

A customised statistical development dashboard takes into account the status of the NSS in

terms of governance (i.e. statistical legislation, NSS), advocacy and communication activities

(i.e. website, social media), data management and dissemination (i.e. statistical standards,

data platforms), and national and international financial support to statistics (a Country Report

on Support to Statistics or CRESS).

Additional considerations used to prioritise countries include whether:

support can be sustained, particularly for countries with weak institutional capacity (continue

to engage with the countries in the case of a long process such as preparing an NSDS, taking

into account feedback on implementation from the regional co-ordinators)

the request has been submitted to another development partner before further engagement

the selection contributes to a balance between regions to maintain the global nature of the

Secretariat’s activities

partners’ own country activities can be leveraged to maximise impact and reduce duplication.

This prioritisation classifies countries into different priority groups which helps PARIS21 identify country interventions. Currently, the tool covers 167 countries worldwide. Activities planned in 2018 will take place in 10% of the highest priority countries.

1.3 Pillar 1: Knowledge-Sharing and Innovation Incubator

Improving NSS efficiency In 2018, PARIS21 plans to conduct a Cross Regional Forum that focuses on NSS modernisation and builds on the CD4.0 framework: advances in innovation (Platform for Innovations in Statistics or PISTA, big data); open data and communications; best practices in data visualization; the integration of administrative data; advances in data sharing; best practices in human resources development; and sectoral statistics. The Forum is scheduled to take place on 4-5 September 2018 in Paris. As part of its innovative activities, PARIS21 will undertake a Data Compact exercise in Cabo Verde with the support of the European Union. In collaboration with SESRIC and EUROSTAT, PARIS21 will conduct five peer reviews. PARIS21 will provide technical guidance on upgrading the statistics office in Grenada into a Statistical Institute, following recommendations in the revised Statistical Law. This upgrade is a key step towards a widened mandate for the statistics office to co-ordinate the national statistical system. Issuing guidelines and sharing best practice The Secretariat will continue its work to develop and share guidelines and best practice for knowledge sharing and mutual learning across countries. The Secretariat will enhance data access with the development of Guidelines on Data Flow Assessment Framework (DFAF) to help data agencies assess the bottlenecks in their data production processes, from design to dissemination. The Secretariat will also produce a new paper on data portals; this will


incorporate into the successful first paper new findings from some of the on-going work with the United Nations Statistics Division (UNSD), Open Data Watch and the OECD. The work of the Secretariat on Legislation and Legal Framework will continue with the development of Guidelines on Statistical Laws based on the experiences and lessons learned in implementing and reviewing statistical legislation in various countries (Grenada, Somalia, etc.). Guidelines on NSS co-ordination will also be developed to improve the inclusiveness of NSSs. A guideline on best practice in NSS assessments will be published by the end of the year. In the Pacific region, PARIS21 will disseminate the NSDS Guidelines for SIDS, targeted at Pacific Community (SPC), partners and NSOs from Pacific islands. The Secretariat will update the NSDS Methodological Guidelines, taking stock of the new Strategy for the Harmonization of Statistics in Africa (SHaSA) in Africa. The Advanced Data Planning Tool (ADAPT) will be developed further and Version 2.0 (scheduled for release in the 3rd quarter of 2018) will include new functions to support the wider range of data planning processes required in NSDS design and monitoring and evaluation (M&E), including identifying data gaps, skills gaps, funding gaps, etc. The Secretariat will establish one new task team and one new epxert group. The "Costing Data and Statistical Systems" expert group will conceptualise and implement costing, budgeting and funding features in ADAPT. The "Moving one STEP forward" task team will look into building on the Open Assessment Repository work started in 2017 and further develop the Statistical Evaluation and Progress (STEP) tool. Previous task teams and expert groups have proven useful in advancing new concepts while ensuring relevance, feasibility and comprehensiveness through a consultative process with experts and country beneficiaries. Integrating innovation The Secretariat will maintain its focus on innovation by promoting the use and further development of the Platform for Innovations in Statistics (PISTA) at the global and regional levels. ADAPT will also continue to play a pivotal role in helping data agencies to maximise the benefits of innovations. The on-going collaboration with UNSD and the United Nations Development Programme (UNDP) to promote the wider use of ADAPT by more users in more countries will continue, building on each partner’s current programmes and activities. The Secretariat will also advance on measuring data use and data literacy. ADAPT country support is planned in Bolivia, Dominican Republic, Ecuador, Egypt, Guatemala, Indonesia, Jamaica, Malawi, Peru, Philippines, Sao Tome and Principe, Senegal, Tanzania and Zambia. Webinars and regional training, as well as a training of trainers, will also be conducted. PARIS21 will work on how Big Data can be harnessed for the SDGs through country pilots and a subsequent regional event in Asia. Still on new data sources, an administrative data seminar is also planned in countries in Asia and the Pacific region, following a paper presenting case studies on country practices in using administrative


data to monitor SDG indicators. In the same topical area, PARIS21 will organise a regional Administrative Data Workshop in partnership with the United Nations Economic Commission for Latin America and the Caribbean (ECLAC), the Andean Community (CAN), and the Central American Integration System (SICA). This fits within the adopted priority areas for the region and in particular the Caribbean Econmic Association (CEA) work programme for 2018. Geo-spatial data and their value in statistics have grown in importance in recent years. However, there are planning and strategic challenges when deciding on the best institutional model for dealing with geo-spatial data. Both political and security considerations come into play. Some NSOs have integrated geo-spatial functions within their operations. Other countries have separate processes. The Secretariat will produce a paper and organise a workshop to explore the issues involved in integrating geospatial functions within statistical functions. Making data available and understandable Unless data are communicated clearly and widely, they will not be used. To support NSOs in improving their communication, the Secretariat will develop a toolkit on "communicating with data". This will help NSO staff and top management to speak and write about data in a way that can improve the overall use of data. The Secretariat will also hold a communications and data visualization training course in Burkina Faso and Namibia. Finally, the Secretariat will work on measuring the value of statistics by using an evidence-based methodology to measure the use of statistics in policy making. An Experts Meeting will take place on this issue.

1.4 Pillar 2: Advocacy

Engaging with new actors The Secretariat will work on a Digital Technical and Vocational Education and Training (TVET) Tender in partnership with the German Corporation for International Cooperation (GIZ). This will explore the potential development of an open access data platform to reduce the gap between the supply and demand of skills in the labour market in rural areas in developing countries. The project will be piloted in two countries. The Secretariat also plans to produce a paper on citizen-generated data and their use at subnational level, and will organise a national workshop in the Philippines to discuss the issue. In its effort to engage with new actors, the Secretariat will continue its Statistics School Survey in Africa and Asia, including creating awareness of the NSDS in statistics schools to educate young statisticians in strategic planning in statistics. In 2018, the survey will also assess the career paths of statistics school graduates.

Strengthening Communication Communication will remain an important part of the Secretariat’s activities in 2018. It is critical for disseminating its activities and NSS impact stories, as well as for advocating for support to statistics.


The Secretariat will develop a user-friendly online advocacy toolkit for both global advocacy on NSS, as well as country-level use. PARIS21 will develop a Data Journalists Network to enhance the use of statistics and data literacy in the media in developing countries. This online network will build on partnerships with data journalists in developing countries. The Secretariat will continue to print and ship materials, translate documents, design advocacy materials, and update country and regional activities on its website. In particular, the NSDS Guidelines website will be revamped and made more interactive, and work will continue to translate it into French, Spanish, Portuguese and Arabic. Conducting global advocacy work In accordance with the 2016-2020 strategy, the Secretariat will continue to pay particular attention to fragile states by updating its fragile state strategy based on its experience and lessons learned from implementing activities that involve countries in fragile situations. The Secretariat will also benefit from the work done by partners and international organisations, in particular the forthcoming 2018 OECD States of Fragility report, to consolidate its strategy. As part of its global advocacy and dissemination of its guidelines and knowledge products, PARIS21 will attend international and regional events such as the 43rd Standing Committee of Caribbean Statisticians Meeting, the 8th ASEAN Community Statistical System Committee Meeting, the Committee of DGs in Africa, UNESCAP Bureau of Statistics Meeting, and selected UNECLAC, AfDB, African Union Commission (AUC) and UNECA meetings. The Secretariat will provide NSO Director Generals exposure to international events such as the United Nations Statistical Commission (UNSC), the PARIS21 Annual Meetings and other regional platforms, providing them with settings in which they can voice the realities of their specific NSSs. PARIS21 will participate in the Statistical Information System Collaboration Community (SIS-CC). PARIS21 will also collaborate with the Pacific Community and CARICOM to strengthen regional collaboration as well as support the establishment of regional statistical co-operation in Africa and the Indian Ocean SIDS. This will take the form of a closed meeting during the United Nations Statistical Commission with country representatives of the regions and the UN DESA SIDS unit. In addition, Ms Fekitamoeloa Katoa ‘Utoikamanu, Under-Secretary-General and High Representative of the UN for the Least Developed Countries, Landlocked Developing Countries and Small Island Developing States (UN-OHRLLS) has been identified as a Champion for Statistical Development on behalf of PARIS21. She will bring high-level support to various events and activities throughout the year. PARIS21 will continue to provide support to the Praia City Group on Governance Statistics and its Steering Committee. In particular, it will contribute to several chapters of the upcoming Handbook on Governance Statistics, and be the lead agency in charge of the chapter on “openness”. In its efforts to provide more knowledge and a more comprehensive framework for statistical capacity in 2018, PARIS21 will produce a flagship report on statistical capacity. The PARIS21 Flagship report aims to become an important pillar for designing and disseminating PARIS21’s knowledge base among


various stakeholders (recipient countries, main financial and technical development partners in a statistical capacity, academia, and the private sector). The yearly report will provide a basis for developing knowledge and structuring a range of products developed by PARIS21 into a coherent and accessible form. Every edition will include a recurring thematic chapter drawing from analytical work and a knowledge base/open repository, and will compile and systematically present the main trends and new developments emerging from the CD4.0 framework.

1.5 Pillar 3: Co-Ordination and Monitoring

Conducting NSS peer reviews The Secretariat will undertake NSS peer reviews in Africa in collaboration with the African Union Commission and Eurostat, and in Lao PDR in partnership with ASEAN. In addition, NSS assessments and evaluations will be conducted in Benin, Maldives (sectoral statistics) and Sri Lanka. Supporting national and regional strategies for the development of statistics (NSDS/RSDS) As part of its core activities, PARIS21 will continue to support countries in conducting this important strategic planning exercise. NSDSs are especially important in an era dominated by the SDGs and an evolving data ecosystem. The Secretariat will assist in designing, costing, using ADAPT, reviewing, implementing, evaluating and/or disseminating NSDSs in Bhutan, Bolivia, Central African Republic, Congo, Dominican Republic, Egypt, Ecuador, Ethiopia, Guinea-Bissau, Indonesia, Jamaica, Jordan, Malawi, Mali, Mauritius, Senegal, South Africa and Timor Leste. A pilot activity is planned at the sub-national level with the statistics office of Jalisco, Mexico. PARIS21 will review the effectiveness of their sub-national statistical development plan and provide training in ADAPT at the sub-national level. At the country level, PARIS21 will organise an NSDS training in Guyana prior to the development of its NSDS. The inclusion of sectoral statistics in the NSDS will continue, with the introduction of the trade in services category in collaboration with several organisations, in particular the World Trade Organisation (WTO). PARIS21 will continue to report on the NSDS status in developing countries and update the NSDS Guidelines following the approval of the NSDS Guidelines Expert Reference Group. At the regional level, the Secretariat will finalise the RSDS in the Caribbean in collaboration with CARICOM, organise a regional workshop in the CAN region on NSDS, and conduct regional NSDS training courses in Asia and Africa. Co-ordinating stakeholders PARIS21 will continue to organise the Annual Meeting and regular Executive Committee meetings; produce reports relevant to the UNSC, OECD and other partners; and will also undertake outreach missions. Contributing to global monitoring PARIS21 will continue its work on indicator and framework monitoring. It will update the Busan Action

Plan for Statistics (BAPS) indicator and DfID logframes and develop a Monitoring and Evaluation

framework with relevant indicators.


The new Indicator Framework will build on PARIS21’s existent work on indicator and framework

monitoring. On the one hand, the framework will draw from existent monitoring tools for PARIS21

activities, including a selection of logframe indicators agreed with partners, including DfiD. On the

other hand, the framework will reflect PARIS21’s monitoring role in global processes. Since 2013,

PARIS21 has been reporting on the BAPS indicator logframe. The BAPS logframe will be integrated into

the Cape Town Global Action Plan to provide an indicator framework of the CTGAP strategic areas

where PARIS21 is contributing.

PARIS21 will continue its SDG reporting as custodian agency for the SDG indicators on statistical

legislation (17.18.2), national statistical plans (17.18.3) and funding dedicated to support statistics in

developing countries (17.19.1).

Regarding the monitoring of financial support to statistics, the Secretariat will roll out the Country Report on Support to Statistics (CRESS) in Bangladesh, Liberia, Mauritania, Mongolia and Zambia. At the global level, the Secretariat will conduct and disseminate the main findings of the 2018 release of the Partner Report on Support to Statistics (PRESS). An online questionnaire to facilitate data collection was opened in September 2017 and results will be available in the first quarter of 2018. PARIS21 partners play a key role in providing the source data for this report, with the largest providers of support to statistics sitting on the PARIS21 Board: Canada, the United Kingdom, European Commission (Eurostat), FAO, IMF, UNFPA and the World Bank. In addition, the 2018 PRESS results will feed into a larger analytical report. Preparing for the SDGs PARIS21 will continue its engagement to support countries in SDG implementation and monitoring. It will be important to work with the Ministries of Planning in the coming years to advance the measurement agenda. For instance, PARIS21 will provide ADAPT support to the Ministry of Planning in Guatemala, which has a very prominent role in co-ordinating the statistical system. The Secretariat will also provide ADAPT support for SDG assessment and NSDS M&E in Indonesia, Jamaica, Peru and Sao Tome and Principe. SICA will be funding and organising a regional workshop on the use of ADAPT. PARIS21 will provide training support and facilitate the process of transferring further knowledge to the regional organisation.

1.6 Pillar 4: Technical Support

Strengthening technical skills In order to improve data availability, PARIS21 will continue to support NSSs in developing solid infrastructure to facilitate quality data access, sharing and dissemination. The Secretariat will support the pilot adoption of .Stat Suite in Cambodia and Tanzania, both of which have contacted PARIS21 to facilitate an exit strategy from DevInfo. This pilot work will be done jointly with UNICEF and the OECD. PARIS21 will also contribute to the SDMX Standard Development and will implement it in select countries. It will conduct national SDMX training in Burkina Faso and Ghana. PARIS21 will continue to engage in developing soft skills within NSOs. The Secretariat will support the development of an NSO Human Resources Strategy in Senegal and will provide technical guidance in


the development of a Human Resources Action Plan in the Philippines. In Africa, in partnership with AFRISTAT, the Secretariat will organise a regional workshop on human resources in NSOs. The need to enhance leadership has been recognised as a priority area in both the Cape Town Global

Action Plan (CTGAP) strategic area and the capacity building survey undertaken by the High-level

Group for Partnership, Coordination and Capacity-Building for the 2030 Agenda (HLG-PCCB). For this

purpose, the Secretariat will conduct the first statistical leadership training in the Caribbean and will

continue this training in both Asia and Africa.

Supporting the quality process The Secretariat will continue to support the quality process by holding a workshop on data quality assurance frameworks for the NSS in Myanmar. PARIS21 will use the opportunity of the 2018 STATCOM in Zambia to organise a quality management side event in collaboration with Statistics Canada and UNECA. A similar process is planned with UNECLAC in Latin America. Updating statistical laws Supporting the NSSs to strengthen and modernise their statistical legislation and other statistical policy frameworks is essential. It enhances the co-ordination role of the NSO, limits misuse of data and ensures citizen access to data. In this regard, PARIS21 will collaborate with UNECLAC who will conduct a regional workshop in Latin America and Caribbean to follow up on legal reform and the development of a regional template. In addition, this process will fit into the SDG monitoring for indicator 17.18.2. In the Asia and Pacific regions, PARIS21 will undertake a statistics law review and revision in Indonesia and Mongolia. Improving data access The Secretariat will help Côte d’Ivoire, Burkina Faso and Namibia to develop a communications strategy to enable them to better manage media (including social media) and to harmonise communications materials. PARIS21 will support the development of an information and communication technology strategy in Cameroon.

2. COMMUNICATIONS

In 2018 the Secretariat will initiate important upgrades in its communication programme, in addition to continuing its advocacy efforts and ongoing communications support to NSOs and regional statistical bodies. The communications team will work to increase the reach and relevance of PARIS21’s activities with partners and other stakeholders through social media platforms, including the complete revamping of the website for the NSDS; producing more PARIS21 Data Talk podcasts; blogging; increasing media coverage; and continuing its periodic knowledge publication, The PARIS21 Bulletin, which showcases the latest tools, knowledge, results, opinions and information from the Secretariat and its partners. In addition, a series of knowledge briefs will be issued on topics in which PARIS21 has developed expertise and knowledge.


3. MANAGEMENT

Among the tasks involved in managing the day-to-day operations of the Secretariat, fundraising will continue to play a key role. The Secretariat will work to bridge the funding gap, in particular by trying to diversify its group of supporters and seeking multi-annual unearmarked support. Currently, the Secretariat is in advanced discussions with both Norway and UN Women to obtain support for its activities. The Secretariat will continue to implement a systematic fundraising campaign to mobilise the financial resources necessary to carry out the directives given to it by the Board and Executive Committee.

4. BUDGET

The Secretariat fundraised actively in 2017, which was a very positive year. The Secretariat was able to secure funding to fully finance activities in 2018. An effort was made to seek additional funding from new and different donors; this meant generating interest and building relationships – these efforts have been fruitful. Currently 13 funding proposals are pending responses from donors, including the Caribbean Development Bank, Finland, France, Germany, the Islamic Development Bank, Korea, Norway, Omidyar Network, Switzerland, UNDP, UNICEF, UN Women and the World Bank. These discussions are at varying stages and are not yet concluded, so the mentioned amounts (table 6) are indicative and not included in the EUR 4.1 million of planned expenditures for 2018. The activities planned with this budget are described in Sections 2 and 3 above. They ensure a comprehensive coverage of the four strategic pillars and range of activities, as well as an adequate regional representation. These activities break down into 47% non-staff costs and 53% staff costs (table 5). Note that the Secretariat is currently negotiating a grant with UN Women for EUR 1.5 million over three years. Activities funded by this grant will be accounted for separately from the four pillars to facilitate reporting. In addition to the funding needed to implement the 2018 Programme of Work, the Secretariat needs to ensure that it has sufficient further funds at its disposal to fulfill all the necessary budget commitments that will ensure programme continuity for 2019 (in particular extending staff contracts to the end of 2019). The Secretariat currently has some funding in hand which has been offered by donors specifically for 2019, but this funding, amounting to approximately EUR 600 000, is insufficient to carry out the 2019 work programme or secure staff contracts for that year. While multi-year grants are generally allocated equally across the years for which they were offered, in order to secure the continuity of its work, the Secretariat has allocated an extra portion of the multi-year funding to 2019. This amounts to approximately EUR 800 000. The Secretariat is actively seeking financing for 2019 and beyond from a variety of donors and is very optimistic that 2019 will be fully funded.


TABLE 5: 2018-2020 Programme of Work Budget

2018 2019 2020

KNOWLEDGE SHARING & INNOVATION INCUBATOR1,057,604 1,080,651 1,112,589

Improving NSS efficiency 82,684 81,018 83,256

Making data available and understandable 71,437 69,444 71,362

Guidelines/Best practices issued 396,516 368,440 378,617

Integrating innovation 37,445 36,651 37,663

Overall operational expenditures 33,236 32,971 33,882

P21-STAFF 436,285 492,126 507,808

ADVOCACY 758,215 850,044 876,343

Engaging with new actors - 19,290 19,823

Communication 92,051 90,663 93,168

Global Advocacy 53,350 52,083 53,522


P21-STAFF 588,985 664,370 685,540

COORDINATION & MONITORING 1,560,905 1,626,956 1,675,236

NSS peer reviews 47,210 46,296 47,575

NSDS/RSDS 502,348 488,039 501,519

Stakeholder coordination 88,225 84,876 87,221

Global Monitoring 57,554 55,941 57,486

SDG Readiness 118,458 115,740 118,937


P21-STAFF 698,057 787,402 812,492

TECHNICAL SUPPORT 768,980 831,986 857,159

Strengthening technical skills 241,782 237,268 243,821

Support to quality process 22,061 21,219 21,805

Update statistical laws 22,872 23,148 23,787

Improve data access - 9,645 9,911


P21-STAFF 458,100 516,732 533,198

TOTAL Core work 4,145,704 4,389,638 4,521,327

Work on Gender 416,227 416,227 416,227

Non-staff 168,926.51 167,738.47 166,689.17

P21-STAFF 247,300 248,488 249,537

GRAND TOTAL 2018-2020 4,561,931 4,805,865 4,937,554

PARIS21 - Programme of Work 2018-20 (in Euros)


TABLE 6: 2018-2020 Funding Gap Analysis

2018 2019 2020 TOTAL

A Budgeted expenditure 4,561,931 4,805,865 4,937,554 14,305,349Core work 4,145,704 4,389,638 4,521,327 13,056,669

UN Women project 416,227 416,227 416,227 1,248,680

B Income in hand 1)

: 4,145,704 1,408,722 0 5,554,426

Voluntary Contributions available at 01.01.2017 2) 4,133,613 1,408,722 0 5,542,335

Voluntary Contributions accepted in 2018 0

Open Data Watch 12,091

C = (A-B) Initial funding gap 0 -3,397,142 -4,937,554 -8,750,922

D Potential funding 3) 692,727 556,227 556,227 1,805,180

D1 VCs accepted - subject to Parliamentary approval or

funding needs

0

D2 Expected Contributions4)

Finland 70,000 70,000

Korea 40,000 40,000 40,000 120,000

Switzerland 15,000 15,000

D3 Discussions in progress

UN Women - 2,565,869 USD - period: 01/10/2017 - 31/12/2020 416,227 416,227 416,227 1,248,680

UNDP 126,500 126,500

Norway 100,000 100,000 200,000

D4 Other possible contributions

UNICEF 25,000 25,000

E = (C+D) Current funding (gap)/surplus - PER YEAR 692,727 -2,840,915 -4,381,327 -6,529,516

Current funding (gap)/surplus - CUMULATED 692,727 -2,148,189 -6,529,516

PARIS21 PROGRAMME

FUNDING GAP ANALYSIS 2018-2020

1) Voluntary contributions are subject to an administration charge of a maximum of 7.3% applied to the total contribution amount.

2) This takes into account the 2017 non‐staff committed funds carried forward which amount to € 272,445 as at 01.01.2018 (see expenditure report).

3) All information as of 31 January 2018.

4) These countries have provided annual contributions in the past and PARIS21 is expecting their continued support in 2018 or negotiations on a grant agreement

are in advanced stages.

V

PARIS21 MISSION STATEMENT AND

GOVERNANCE

62 | PARIS21 Mission Statement and Governance


V. PARIS21 Mission Statement and Governance

This note provides background information on PARIS21’s new proposed mission statement and

outlines the ways in which the Secretariat will streamline its governance arrangements.

Point for information

1. PARIS21 MISSION STATEMENT

The role of official statistics has changed significantly in recent years. Not only are statistical offices needing to produce high-quality statistics, but they are also having to pay more focused attention to the needs of citizens and other actors (private sector, civil society, etc.). Because of the expanding data ecosystem and PARIS21’s role within it, a new mission statement is necessary to reflect these evolving changes. Old Mission “Our mission is to reduce poverty and improve governance in developing countries by promoting the integration of reliable statistics into the decision-making process.” New Mission “Our mission is to strengthen statistics and promote the use of robust statistical information by policy makers and citizens with a primary focus on low income countries.”

2. STREAMLINING PARIS21 PROCESSES - GOVERNANCE

In order to increase efficiency around the selection of PARIS21 Board members, Executive Committee

members and Board documents, the Secretariat proposes to clarify its current governance

arrangements.

I. Board member nominations

Current:

13. Developing country representatives (and the member of the Board representing individual

members of the Partnership) are appointed by the Board on the recommendation of the Secretariat

Proposed amendment:

13. Developing country representatives (and other members of the Board) are nominated by the

Secretariat and reviewed/approved by the Executive Committee via written procedure, preferably in

the 4th quarter leading up to a renewal year.

Implication: New Board members will effectively serve from April 2018 – March 2020.


II. Executive Commitee nominations

Current:

27. Members of the Executive Committee will be appointed from the pool of existing Board

members. The Secretariat will consult with developing country and bilateral donor Board members to

make nominations. Members will serve for two years in the first instance and can be re-appointed for

further two-year terms if appropriate. The founding institutions will hold permanent seats. If any

member of the Executive Committee resigns from the Board they will be replaced as soon as possible

with the agreement of the Board’s Chair, and the appointment will be ratified at the next Board

meeting.

29. The Executive Committee will ideally meet at least three times a year, where possible in the

margins of suitable international meetings. Other business will be conducted through consultation by

telephone and e-mail.

Proposed amendment:

27. Non-standing members of the Executive Committee will be appointed from the pool of existing Board members. Executive Committee members will be nominated by the Secretariat after consultation with the current Chair and other members and approved by the Board during the 1st Board meeting of the renewal year. The Secretariat will consult with developing country and bilateral donor Board members to make nominations. Members will serve for two years in the first instance and can be re-appointed for further two-year terms if appropriate. The founding institutions will hold permanent seats. If any member of the Executive Committee resigns from the Board they will be replaced as soon as possible with the agreement of the Board’s Chair, and the appointment will be ratified at the next Board meeting. 29. The Executive Committee will meet at least two times a year, where possible in the margins of suitable international meetings. Other business will be conducted through consultation by telephone and e-mail. Implication: New Executive Committee members will serve from May 2018 – April 2020.

III. Board and Executive Commitee Chair

Current:

8. The Board has one chair, on a rotating basis with a mandate of two years. It alternates between a donor country and a developing country representative, nominated by the Executive Committee and approved by the Board. The Executive Committee will agree on a candidate and propose the name to the Board, who will endorse the nomination by acclamation at a formal Board meeting.


28. The Executive Committee elects a chair among its members (excluding the PARIS21 Secretariat Manager) who will hold office for at least one year, with possibility of renewal.

Proposed amendment:

8. The PARIS21 Chair will reside over the Board and Executive Committee with a mandate of two years. He/She will be nominated by the PARIS21 Secretariat, after consultation with the current Chair and Executive Committee, and will be approved by the Board, who will endorse the nomination by acclamation at a formal Board meeting. 28. The PARIS21 Chair will reside over the Executive Committee and will hold office for two years, with possibility of renewal.

Implication: New PARIS21 Chair will serve from April 2018 – March 2020.

IV. Board documents and agenda

Current:

25. The role of the Executive Committee is to provide an ….. The specific roles of the Executive

Committee are:

Reviewing and approving annual work programmes and budgets, annual reports and other important documents as required; Proposed amendment:

25. The role of the Executive Committee is to provide an ….. The specific roles of the Executive

Committee are:

Reviewing and approving annual work programmes and budgets, annual reports and other important documents as required, which may be conducted through written procedure or during executive committee meetings;


VISTATISTICAL CAPACITY

DEVELOPMENT OUTLOOK

– FLAGSHIP REPORT

68 | Statistical Capacity Development Outlook – Flagship Report


VI. Statistical Capacity Development Outlook – Flagship report

PARIS21 is planning to publish a new annual flagship report – the “Statistical Capacity Development Outlook” – to be accompanied by a “knowledge and best practices repository”. This note discusses why there is a need for these resources, what they intend to achieve, and why PARIS21 is well placed to carry out this work. It also provides some preliminary details on each of the products. Point for information

1. FROM A DATA REVOLUTION TO A CAPACITY REVOLUTION

What is the common factor among parents who want to send their kids to a good school, people who want to invest their money, and governments aiming to reduce unemployment or improve health care? It is the need for reliable and good quality data. Data and statistics are no longer used only by the privileged few – they are demanded across society. The capacity to produce, analyse, disseminate and use data and statistics to help people and organisations make informed decisions is more important than ever. Lack of data and statistics have consistently been a fundamental impediment to measuring the implementation and progress of past national and international agendas for development. Current national development plans and the United Nations’ 2030 Agenda for Sustainable Development could face a similar fate without significant investment in capacity building for data and statistics. Since the Sustainable Development Goals (SDGs) were adopted in 2015, countries and their national statistical systems (NSSs) are facing unprecedented demand to provide good quality statistics for monitoring SDG implementation. These statistics need to cover a wide range of topics in great depth, demanding new, complex indicators with increasing levels of disaggregation. At the same time, the data revolution has generated new data sources and data providers; together with the more traditional sources and providers, we are seeing a new data ecosystem emerging in many countries. This new ecosystem also embodies a rich diversity of statistics users, many of whom are becoming more demanding and sophisticated. Many of these new users need help understanding data, thus increasing the importance of training in data literacy. These changes call for the development of new capacities, and also for traditional providers of statistics – National Statistical Offices and line ministries – to rethink their roles and responsibilities. In an era of fake news and misused data, providers of official statistics need to make their voices audible to the public, differentiating themselves by the reliability and quality of their data, and thereby increasing citizens’ trust in their work. The pressures described above affect NSSs around the world differently, according to their statistical capacity. While some countries face capacity challenges in adhering to the latest System of National Accounts standards, others face hurdles in carrying out a population census. But there are also some shared statistical capacity development challenges for data-producing organisations. These include organisational structure, human resources, infrastructure, funding, the use of administrative data and others.


2. WHY DO WE NEED A FLAGSHIP REPORT ON STATISTICAL CAPACITY DEVELOPMENT AND A KNOWLEDGE AND BEST PRACTICES REPOSITORY?

Capacity development has a long history, having been a key element of development co-operation for the last four decades. Its emphasis has evolved over time, from “capacity building” – indicating more of an outside intervention and involving a relationship based on donor and recipient – to “capacity development” – highlighting the active role of the recipient as a partner in the process. Traditional capacity-building efforts for statistics relied heavily on the technical and functional aspects: i.e. a focus on producing data, strengthening statistical planning and legislation, and developing the national statistical system.

Statistical capacity development has evolved in response to the ever-changing environment described above, and the increased focus by countries, capacity development providers and donors on the need to demonstrate results of capacity development activities. These new challenges faced by data and statistics providers call for a renewed approach to statistical capacity development, as articulated in the Cape Town Global Action Plan for Sustainable Development Data. In its annual Board Meeting in 2017, PARIS21 set up a work stream on new approaches to capacity development, known as “Capacity Development 4.0” (CD4.0). Capacity Development is defined as “a process through which producers and users of data obtain, strengthen and maintain the capabilities to navigate through the data revolution so that it benefits the society at large and improves the quality of life of all citizens”14.

While CD4.0 emphasises the development of technical capacities such as surveys and sectoral work, it also calls for enhancing the capacities required for using those technical skills, such as basic infrastructure, managerial and leadership skills. In this way it also broadens statistical capacity development out beyond the individual level to the needs of the organisation – e.g. how individuals work together as part of an organisation through human resource management practices, other work procedures and statistical standards – and to the wider environment, through relationships with other institutions, including the political sphere and private sector data providers as well as data users. It is the first comprehensive, holistic approach to capacity development in data and statistics that stresses both the potential and risks of the data revolution for development.

PARIS21 has identified a need to create a global knowledge platform on statistical capacity development which helps countries, donors and service providers better understand how to tailor capacity development programmes to foster statistical capacity in countries. As part of the CD4.0 workstream, PARIS21 therefore proposes an annual capacity development outlook, focusing on “hot topics” and also showing trends and new developments, accompanied by a “knowledge and best practices repository”. These would provide regular assessments of the state of play of the statistical capacity development needs and efforts of countries, regional organisations, donors and service providers; outline their results; showcase new initiatives and innovations; and look at trends over time. The aim would be to provide countries and donors with the most up-to-date information necessary to carry out and support statistical capacity development. The publication and knowledge repository will contribute directly to the implementation of the Cape Town Global Action Plan and respond to the demand by donors for better information on statistical capacity development activities and their impacts.

14 http://ec.europa.eu/eurostat/documents/7330775/7339506/CH-Newsletter-Beyond+the+Horizon-2018-Issue+01.pdf/73d8f71e-6551-4135-9257-b765b7fc9b8e

http://ec.europa.eu/eurostat/documents/7330775/7339506/CH-Newsletter-Beyond+the+Horizon-2018-Issue+01.pdf/73d8f71e-6551-4135-9257-b765b7fc9b8e

http://ec.europa.eu/eurostat/documents/7330775/7339506/CH-Newsletter-Beyond+the+Horizon-2018-Issue+01.pdf/73d8f71e-6551-4135-9257-b765b7fc9b8e


Currently, to the best of our knowledge, there is no regular report that focuses on key issues and new developments in statistical capacity building; nor are there any repositories of knowledge and best practices that provide a comprehensive picture of statistical capacity development activities and their results across the world. For example, the World Bank’s Framework for Statistical Capacity Measurement evaluates countries’ statistical performance levels, focusing primarily on statistical activities and outputs. It evaluates a country’s statistical system for methodology; and data sources, periodicity and timeliness. It is also a useful tool for assessing countries’ progress towards these elements. However, it does not measure countries’ statistical capacity development activities.

The proposed PARIS21 flagship report and “knowledge and best practices repository” will therefore complement the World Bank’s efforts, providing a wide range of information related to statistical capacity development. The report will draw heavily on the contents of the “knowledge and best practices repository”, which will gather information including hard data, such as spending on statistical capacity development by donors and countries; as well as qualitative data on statistical capacity development activities, such as innovation in the field, case studies, etc. It will bring together all the knowledge related to statistical capacity development, including inputs, processes, outputs and outcomes on a country-by-country basis, allowing countries to learn from each other. It plans to build on the work, information and data provided by national, regional and international institutions that work in the field of statistical capacity building, including PARIS21 and its partners. In the context of a data revolution that is constantly evolving, the report will be published annually and the information in the knowledge repository will be updated continuously.

3. WHAT DOES THE FLAGSHIP REPORT INTEND TO ACHIEVE?

The planned flagship report and repository intend to help countries develop their statistical capacity in multiple ways. They will:

Support countries in their efforts to improve statistical capacity

Help countries assess their needs and efforts for statistical capacity building

Accelerate statistical capacity development in countries by providing them with the most up-to-date information and knowledge

Support countries in planning their statistical capacity development activities

Support countries through peer-to-peer learning

Provide performance information on capacity building

Create a one-stop resource for countries, donors and service providers through which they can access, analyse and assess countries’ statistical capacity

Provide donors with hard-to-come-by performance information by linking qualitative and quantitative information on statistical capacity development – ranging from funding and activities to results

Share the experiences and results of the statistical capacity development work of countries, PARIS21 and other agencies.

Improve statistical capacity development approaches

Advance the development of new approaches to statistical capacity building by highlighting a new issue/challenge through in-depth analysis in each report

Identify key trends in statistical capacity development


Serve as a catalyst for strengthening statistical capacities around the world.

4. WHY SHOULD PARIS21 PRODUCE A FLAGSHIP REPORT ON CAPACITY DEVELOPMENT?

While many institutions could develop a report on capacity development, PARIS21 seems particularly well placed to spearhead this work. Over the last 15 years PARIS21 has developed robust expertise in statistical capacity building through its work with countries on the design, implementation and evaluation of national strategies for the development of statistics (NSDS). Over this time it has garnered support from donors and recipient countries alike. Another strength lies in its role as a partnership of all stakeholders – its Board includes representatives from both developing countries and donors – and is dedicated to strengthening statistical capacity in countries, focusing on low-income, fragile, land-locked and small island developing countries. It works with a strong network of experts from national statistical offices (NSOs), UN agencies, multilateral development banks and the OECD, among others. For nearly 20 years PARIS21 has been a reputable source of information and knowledge on statistical capacity development. It has created a range of unique products and tools, such as a repository of information on NSDS plans; data and reports on national funding for statistics and statistical capacity development in countries (CRESS); data and reports on financing statistical capacity development at the international level (PRESS); the Advanced Data Planning Tool (ADAPT), used to map supply and demand for statistics; and the Platform for Innovations in Statistics (PISTA), which collects innovations in statistical capacity development. The role of PARIS21 in statistical capacity development has also been recognised through its selection as the custodian agency for developing, monitoring and reporting on three indicators related to Sustainable Development Goal 17 (SDG17). This SDG aims to strengthen the means of implementation and revitalise the global partnership for sustainable development. The three indicators are:

17.18.2: the status of countries’ statistical legislation

17.18.3: the status of NSDS development

17.19.1: dollar value of all resources made available to strengthen statistical capacity in developing countries.

The proposed flagship report and “knowledge and best practices repository” would be natural continuations of the work already carried out by PARIS21. They would also draw on the wealth of experience, information and data accumulated by other organisations working in the field of statistical capacity development, often side by side with PARIS21 as partners. For example, key output and outcome information will build on the work of the World Bank – especially their Statistical Capacity Measurement indicator and country profiles; and Eurostat; as well as other organisations, such as Global Partnership for Sustainable Development Data (GPSDD), Data2X, and the Mo Ibrahim Index, to mention a few.

5. WHO WOULD BE THE TARGET AUDIENCE OF THE FLAGSHIP REPORT?

These resources are targeted at all actors of the new data ecosystem involved or in need of statistical capacity development, as well as those in the development community who are funding or providing technical assistance, including:


National statistical offices

Other government and private-sector statistics and data producers

Donor community, including donor countries, multi-lateral organisations, regional banks and private foundations

Government decision makers in countries

International and regional organisations active in statistical capacity building

Statistical training institutions

Other statistical capacity development providers

NGOs interested in statistical capacity issues

Academia

Media

Citizens

6. WHAT WOULD THE FLAGSHIP REPORT AND KNOWLEDGE REPOSITORY CONTAIN?

I. The Statistical Capacity Development Outlook

It is envisaged that this flagship report will be an annual publication, published in English in printed format and online. The preliminary edition of the report and the accompanying “knowledge and best practices repository” is planned to be presented at the UN World Data Forum in Dubai in October 2018. Each year the report will include a foreword written by a high-level champion who explores a key challenge, thereby increasing the currency and profile of the report. The first part of the report will analyse in depth a different theme related to statistical capacity development, as well as covering recent developments on the CD4.0 framework and focusing on a specific area of the framework. The second part will be recurrent in each edition of the report; drawing on the “knowledge and best practices repository”, it will present the main trends and key new developments for its five key dimensions, which are described in further detail below. The theme for the 2019 report is proposed to be “New approaches to statistical capacity development”. This will explore the contributions of the Task Team on Capacity Development 4.015, chaired by PARIS21. It will draw on the work of the three subgroups, set up to (1) define a conceptual framework; (2) identify implantation mechanisms; and (3) define metrics for measuring progress. The report will outline the extent to which NSSs are currently mainstreaming the use of statistics in their activities. To do so, it will draw on the results of the survey on “New approaches to capacity development” conducted by PARIS21 and the High-level Group for Partnership, Coordination and Capacity-Building for the 2030 Agenda (HLG-PCCB); as well as on in-depth interviews to be conducted throughout 2018. The thematic chapter will also reflect the proposals of the Measurement subgroup for improving capacity assessments through the lens of the CD4.0 approach. The chapter will also provide a more detailed description of the CD4.0 framework and include a thematic section on the “Use of statistics in policy making”. Since CD4.0 pushes for demand-side approaches to capacity development, the use of statistics is the main outcome to be pursued when designing programmes. The section will draw on the research conducted on this issue by PARIS21 Secretariat, as well as the contributions from partners who are currently working on the topic. The

15 The Task Team includes experts interested in capacity development drawn from a broad range of stakeholders, including NSOs from both developing and developed countries, as well as international and regional organisations.


relationship between the various dimensions of statistical capacity and how statistics are integrated in the policy-making process will also be explored. The themes of subsequent editions will be decided in consultation with the Executive Committee of PARIS21. The publication will be primarily built on existing information and data; however, if a topic requires new data it will be collected as well. The report will be launched each year at the annual Board meeting of PARIS21.

II. The Knowledge and Best Practices Repository

The repository will provide a platform for sharing information on statistical capacity throughout the world. It is envisaged as a one-stop shop where donors or countries – both developing and developed – can easily find ideas, policies, projects and hard facts on how to strengthen statistical capacities and how countries are performing. The design will be conducive to country to country or region to region comparisons. The structure of the repository and the flagship report will build on the conceptual framework developed by the CD4.0 Task Team, which identifies five key targets for developing statistical capacity in the new data ecosystem: (1) resources; (2) skills and knowledge; (3) management; (4) governance (politics and power); and (5) incentives. Each pillar will be explored at the three levels of capacity: individual, the organisation and the system. For details refer to the document “Proposing a Framework for Capacity Development 4.0”16. Resources are the means currently available to the national statistical system – or which it could potentially draw on – for producing outputs. The goal of this section will be to provide an overview of the resources that countries have accumulated for running their statistical operations. Both the repository and report will explore the adequacy of the labour market to satisfy recruitment needs – including the professional background of potential candidates – as well as the infrastructure (e.g. office space), human resources and budget of the organisations, and of the statistical system (such as laws and existence of an NSDS). Skills and knowledge are the abilities held by the national statistical system for conducting a task, which involves manipulating resources in an effective way. This section will provide an overview of the adjustment of countries’ statistical expertise to international standards/benchmarks. An overview on innovation and modernisation will also be provided, drawing on inputs to PISTA, Data2X, etc. The intensity and quality of communications with users of statistics are also relevant and can be measured by social media and website presence. Statistical literacy amongst the population will also be assessed, as this is a core capacity of the data ecosystem. Management refers to how the national statistical system is able to combine its resources, skills and knowledge efficiently to produce results. This section intends to shed a light on the degree to which countries’ management practices are aligned with recommended practices. Many aspects of management are not visible in the outputs themselves, but rather in the processes. The repository will concentrate on assessing the quality of management using the proxies of organisational design, the timeliness with which plans (e.g. annual work plans, NSDSs) are discussed and agreed, and how the national statistical system is co-ordinated (e.g. existence of working groups). Human resources

16 http://www.paris21.org/results-cd40-task-team

http://www.paris21.org/results-cd40-task-team


management will be a specific topic, including managers’ leadership qualities, to be measured through the existence of staff meetings for example. The aim of the politics and power section is to assess the openness of the national statistical system. The degree to which statistical organisations (as institutions or through their employees) and the system itself relates to stakeholders outside of the organisation is core to capacity. The section will explore the networks to which the national statistical system’s employees and organisations are connected – both internal and external. Their actions to build constructive relations with others will also be reviewed. This section will also measure aspects of transparency (e.g. ODIN) and accountability (e.g. subscription to open government partnerships). Memberships of statistical networks, participation in international events, etc. are also relevant to this dimension. In order to assess internal politics, the length of the Director Generals’ duration in office will be considered. The final section, incentives, will provide an indication of the overall performance of the national statistical system, not in terms of outputs, but in terms of outcomes. It will try to capture the level of interest that employees and organisations – as well as stakeholders – have in the endeavours of the statistical system, and how they motivate others to pursue them. Motivation is hard to capture in itself; however it can be proxied by the actions or perceptions of various actors. For example, at the employee level, staff turnover rates and absenteeism reflect staff engagement with the organisation. Participation in working groups and committees from the national statistical system also signals stakeholder interest, as does their use of statistics (following the data value cycle). Work on the “knowledge and best practices repository” started in January 2018 and will take approximately 10 months to finish. It will be updated regularly, whenever new data become available. It is expected that PARIS21 partners will contribute information and data to the knowledge base, while the Secretariat will organise the information and provide support for the platform. It will draw on reports such as PRESS, CRESS and the World Bank Statistical Capacity Indicators, Open Data Inventory (ODIN), and UNECA’s StatDI. It will also build indicators from existing surveys, NSOs’ websites, and PARIS21’s platforms such as PISTA and ADAPT, etc. The repository will only feature new indicators from secondary data sources, such as websites and social media – it will not involve any additional surveys of countries for filling in information. The repository will also share the activities carried out by PARIS21 and its partners, as well as their concrete results.

7. TIMELINE AND RESOURCE REQUIREMENTS

The estimated time required to produce the initial report is 6 months. The “knowledge and best practices repository” would take approximately 10 months to design and populate. Additional temporary resources will be needed to design the platform (a designer for 2 months and a developer for 6 months) and to populate it (a statistician for 6 months). It will also require some permanent resources for regular updates and maintenance (a developer and statistician).


Tentative Timeline

Date Landmark

1st Quarter Concept note and outline

2nd Quarter Preparation of data/indicators for platform and chapter outline

3rd Quarter Experts Meeting Flagship Report

22 Oct Launch of the draft report and online platform at the UN World Data Forum

VII

PARIS21 ADVISORY UNIT (PAU)

78 | PARIS21 Advisory Unit (PAU)


VII. PARIS21 Advisory Unit (PAU)

Point for decision For approval: The PARIS21 Board is invited to approve the further study on the feasibility of creating a US-based non-profit organisation, the PARIS21 Advisory Unit (PAU).

1. BACKGROUND

Within the development community, there is increasing interest in data and statistics as a means to support the implementation of the 2030 Agenda, as well as national development goals. The OECD Development Assistant Committee’s 2017 flagship report on “Data for Development”, and the World Bank Independent Evaluation Group’s Annual Report, which assesses the World Bank’s support of Data, are just two examples of bilateral and multilateral donors (finally) starting to mainstream these previously niche topics. The setting up of the International Monetary Fund’s Data for Decisions Trust Fund is another encouraging sign. These developments are, in general, good news for the PARIS21 partnership, its members and the Secretariat as it increases the opportunities for more and better funding for statistical capacity development. Closely tied to these developments, and driven by the need to produce global and national indicators, the demand for PARIS21 services is steadily increasing from developing, middle-income and also certain OECD countries. Unfortunately, and as documented in the 2017 PRESS Report, while the number of donors is increasing, the available resources for statistical capacity development remain low, especially when compared to investments made in health, education and agriculture. The level of funding has still not increased substantially.

2. CHALLENGES FOR PARIS21

Over the past few years, the Secretariat has been seeking to expand its donor base and open the door to a wider range of donors – with some success, as shown by new incoming funds from Qatar, the Gates Foundation, Islamic Development Bank, UN Women and the German Development Agency (GIZ). However, the size of these grants are generally limited – below USD 300 000 euros (with the exception of the UN Women grant) and earmarked for specific activities and/or regions. Also, more actors are entering the field of development data partnerships, occasionally offering comparable and/or partly overlapping functions. The competition for funds will further increase in the coming years – PARIS21 needs to adapt its funding strategy to respond to this new development. PARIS21 benefits in many ways from its status and structure, hosted within the OECD. However, it also has to comply with a legal and procurement/funding framework that is not conducive for conducting technical work in developing countries. Funding is not membership based and comes increasingly from grants through competition. In the current situation, donors are increasingly providing more tied funding and smaller pots of funding for very specific activities, while the negotiation of voluntary contributions is often very time consuming, especially for small amounts. Sometimes funds do not even reach PARIS21 because of the incompatibility of new funders vis-à-vis the OECD framework. Other times, the Secretariat does not pursue grants because the administrative transaction costs would outweigh the amount of the grant.


3. OBJECTIVE OF THE PAU

A possible response to the new reality in which PARIS21 operates would be to develop an independent, non-profit advisory unit that can capitalise on the new trends and develop and enlarge the existing business model to fulfil its member-driven mandate even more comprehensively. This non-profit entity, to be known as the PARIS21 Advisory Unit (PAU), would be created to a) help PARIS21 operate on a lower operating cost/expenditures basis; and b) generate revenue to fund PARIS21.

The PAU would have access to and be able to accept grants (especially small tied grants) and tax deductible contributions from individuals, which are currently not available to PARIS21. The PAU would have the capacity to re-grant funds for specific projects to PARIS21. The PAU could use its grants to pay directly for non-staff costs related to PARIS21 workshops (i.e. travel costs of PARIS21 staff, consultants and invited participants, consultant fees, venue costs, etc.). PARIS21 would therefore be able to decrease its overall expenditure, possibly by an estimated 25%. Ideally, and when possible, funds could also be transferred to PARIS21 to cover staff costs for staff working on/travelling to workshops. As a result, PARIS21 would broaden its reach and more countries would be able to benefit from its expertise.

In exchange, the PAU would benefit from PARIS21’s expertise, network and brand.

4. IMPLEMENTATION

1. The PAU would be a private non-profit organisation, established initially in the US under the US Tax

code as a 501(c)(3) organisation17. The organisation would likely be set up as a non-profit

organisation, as opposed to a foundation, to support PARIS21 and the process of official statistics.

This would require consulting with a legal/financial expert.

2. PARIS21 will use its US-based contacts to provide an initial list of potential donors in order to

investigate and gauge interest, particularly from foundations and private individuals.

5. STAFFING

3. A small board of directors would be established, drawing from the most committed partners or

other leaders, to help open up new streams of funding. A lawyer established in the US will be hired

to establish the non-profit entity, and a part-time accountant will be consulted to comply with US

tax law.

6. GOVERNANCE ARRANGEMENTS

4. Governance arrangements will be set out through approved by-laws. Some initial governance

considerations include:

a. It is planned to have a few current PARIS21 donors on the PAU board, including the

PARIS21 Secretariat Manager, to ensure close alignment between both institutions

b. Reviewing the PAU work programme and aligning it to PARIS21’s work programme and

strategy, while allowing for the independent pursuit of opportunities by PAU where

possible. The relationship should not be overly restrictive.

17https://www.irs.gov/charities-non-profits/charitable-organizations/exemption-requirements-section-501c3-organizations

https://www.irs.gov/charities-non-profits/charitable-organizations/exemption-requirements-section-501c3-organizations

https://www.irs.gov/charities-non-profits/charitable-organizations/exemption-requirements-section-501c3-organizations


c. Conducting independent audits and reviews of accounts.

d. Subjecting consultants and processes to PARIS21’s quality and code of practice and

assuring the standardisation of processes in those activities that are in the interest of

PARIS21.

e. Avoiding the use of funding from PARIS21 for the operation of PAU, its activities or

partnerships.

7. FUNDING

5. The PAU would function with minimal overheads and maximum flexibility for its Programme of

Work and funding.

6. The immediate cost burden for setting up the PAU would include:

a. A lawyer to establish the non-profit entity.

b. An accountant (part-time) would need to be consulted to ensure all forms and

processes are followed as per US tax law and reporting.

7. Funding for these costs would need to be provided by donors, and could not be provided by

PARIS21. The Secretariat asks Board members for their guidance on potential funding

opportunities and contacts.

8. POTENTIAL RISKS AND MITIGATION MEASURES

Potential risk Mitigation measures

Conflict of interest: For instance, PARIS21 may support the development of an NSDS that calls for specific actions and then PARIS21 may bid for those actions through the PAU.

While it would be PARIS21’s recommendation, the country must make the request and decide who would be best positioned to carry out the work.

Funding may be diverted from PARIS21 staff time or PARIS21 activities to the PAU.

The PAU Programme of Work would be aligned with the PARIS21 strategy and Programme of Work, so that objectives are shared.

A direct link between PARIS21 and the PAU may have an implication for its status as a hosted partnership within the OECD.

OECD legal services and the Secretary General’s Office have agreed that PARIS21 can pursue the initiative. OECD legal services recommend that legal and financial separation be clearly established between the two organisations.

The PAU may not be able to re-grant funding to PARIS21 because some of the clauses that the PAU donors would apply would need to be passed on to PARIS21 through the re-granting process and some of these clauses may be unacceptable for the OECD (audit, interest incomes, national laws, etc.).

This may be the case for some, but not all, donors. The PAU can, in either case, disburse funds to pay directly for non-staff costs (consultant fees, travel costs for PARIS21 staff and consultants, and invited participants, workshop costs, etc.).

Brand mixing with both PARIS21 and the PAU.

PARIS21 would have a permanent seat on the PAU Board to ensure alignment with PARIS21’s strategy, Programme of Work, quality and code of practice. However, additional members will form the PAU Board.


9. PROPOSED TIMELINE AND NEXT STEPS

1. November 2017 – Discussion with Executive Committee

2. April 2018 – Presentation of proposal at the PARIS21 Board Meeting

3. May 2018 – Pending approval by the Board, commencement of feasibility study with US lawyer

4. October 2018 – OECD Council information session

5. April 2019 – Identification of seed funding and final decision about PAU creation at 2019 PARIS21

Board Meeting

6. May 2019 – Possible launch date of PARIS21 Advisory Unit

VIII

GLOBAL FUND ON DEVELOPMENT DATA

84 | Global Fund on Development Data


VIII. GLOBAL FUND ON DEVELOPMENT DATA

This note introduces the background, objectives and timeline of a proposed study to assess the prospects of establishing a Global Fund on Development Data. This study will feed into thwe High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB) process, in which members have started to reflect on a funding framework to underpin the implementation of the Cape Town Global Action Plan. Preliminary findings will be shared at the UN World Data Forum in Dubai in October 2018. Point for information

1. BACKGROUND

The 2030 Agenda has set an ambitious objective for monitoring and implementing the Sustainable Development Goals (SDGs) at the global, regional and national levels. Unfortunately, the call for producing more and better data has not yet translated into increased support for national statistical systems. In 2015, international aid for statistics reached USD 541 million, with annual support representing less than 0.3% of overseas development assistance in recent years (PARIS21, 2017). Three years after its adoption, the 2030 Agenda puts forward the need for more and better financial resources to ensure robust SDG monitoring. Not only will more resources be needed – they will also need to be reliable and sustainable if we are to meet the substantial challenges raised by the 2030 Agenda in terms of data quality and disaggregation. Today, the financial landscape of the statistical sector still seems to be unbalanced. Financial support from new actors focuses on sectoral needs, while overlooking the broader structural needs and capacity challenges of national statistical systems. The estimated annual cost of producing data for the SDGs in 144 developing countries, including conducting surveys and censuses and improving administrative data, is between USD 2.8 and 3.0 billion a year up until 2030 (UNSDSN, 2015; GPSDD, 2016). Accounting for available domestic budgets, the remaining funding gap is estimated at around USD 635-685 million. With countries aspiring to contribute as much as USD 1.1 billion (of the USD 2.8 to 3.0 billion estimate) to boost the capacity of their statistical systems through national strategies, and almost half of which coming through external sources, the remaining financial gap will remain significant (UNSDSN, 2015). Previous global action plans on statistics have managed to secure a stable funding source for their implementation, especially if the statistical agenda was closely related to a broader policy agenda. The Marrakech Action Plan for Statistics, established in 2004, was in charge of implementing National Strategies for the Development of Statistics (NSDS) in International Development Association (IDA) countries, as well as establishing the International Household Survey Network and the Accelerated Data Programme. The Busan Action Plan for Statistics (BAPS) continued this effort, integrating national statistical activities into national planning, promoting open access and increasing knowledge to use statistics effectively. The BAPS was most likely less effective than its predecessor in raising funds, however, as the whole Busan development process encountered difficulties taking off. However, it brought attention, and invariably more resources, to new areas in the development agenda linked to the statistics sector (such as gender). Today, the Cape Town Global Action Plan for Sustainable Development Data (CTGAP) outlines the actions needed to generate quality and timely data to inform sustainable development at the required level of disaggregation and population coverage. While this plan provides a framework for discussing, planning and implementing statistical capacity building to achieve the scope and intent of the 2030 Agenda, the CTGAP has not been integrated into the same policy processes as its predecessors. At the


same time, the HLG-PCCB has drawn attention to the importance of securing financial sources for the successful implementation of the CTGAP, particularly in developing countries where the capacity gap is significantly greater. In this context, PARIS21 offers its support by investigating the scope and feasibility of setting up a Global Fund on Development Data.

2. OBJECTIVES AND SCOPE OF THE STUDY

The study aims to provide a comprehensive analysis of the opportunities and risks of setting up a Global Fund on Development Data. It would involve three main parts:

I. Provide a new costing estimate of the funding needs for SDG monitoring and

implementation

Previous studies have estimated the resources required for SDG implementation, including the cost of expanding the programme of surveys and censuses and improving administrative data systems to enable IDA-eligible countries to produce data for the SDGs (UNSDSN, 2015; GPSDD, 2016). Under this scenario, the funds required were estimated at between USD 1.1 to 1.2 billion annually over the period 2016-30. In addition, the financial costs of the 67 lower and upper middle-income countries is estimated to be USD 1.7 to 1.8 billion per year. Together, the total cost for these 144 countries is estimated at USD 2.8-3.0 billion per year until 2030. After three years of SDG implementation, PARIS21 considers it is now time to re-examine the funding needs and re-calibrate the costs based on the information collected thus far. The new costing exercise should also take into consideration the necessary investments in capacity development that will be required for the implementation of the SDG agenda, which were not included in the original estimates. Delivering skills in key areas (technical, but also managerial, communications and strategic) and upgrading organisational practices across the national statistical systems will require considerable investment. With an increasing percentage of SDG indicators being produced outside of the national statistical offices, the new estimation should also consider the broad range of actors involved in SDG implementation.

II. Explore the feasibility of setting up a Global Fund on Development Data

A global fund is an international financing organisation, often a public-private partnership, that aims to attract and disburse additional resources towards a certain objective. An important difference from other mechanisms is that a global fund is a financing mechanism rather than an implementation agency. Generally, a large group of in-country stakeholders carry out the activities, while the monitoring and evaluation is supported by a Secretariat. Global funds have emerged in several sectors as a way to address financing needs and respond effectively to development challenges (Box 1). The Global Fund against AIDS, Tuberculosis and Malaria is a reference for the health sector, with nearly USD 32 billion disbursed as of 2016, and an impressive record of improvement in health outcomes.18 On a less ambitious scale, the Global Fund for Children 18 Through a broad range of initiatives, the Global Fund has contributed to a decline of one-third in the number of people dying from HIV, TB and malaria since 2002, has helped 11 million people receive antiretroviral therapy for HIV and 17 million people to receive TB treatment. https://www.theglobalfund.org/media/6773/corporate_2017resultsreport_report_en.pdf

https://www.theglobalfund.org/en/

https://globalfundforchildren.org/

https://www.theglobalfund.org/media/6773/corporate_2017resultsreport_report_en.pdf


supports initiatives for children and youth, particularly girls and young women. The fund manages investments of nearly USD 40 million in 48 countries. The Global Fund for Women supports gender equality in developing countries, with nearly 5000 grass-roots organisations involved and over USD 100 million in investments carried out since 1987. More recently, a Global Emergency Education Fund has been announced to support children in conflict zones or areas affected by natural disasters. Other sectors for which a global fund is being considered include nutrition, sanitation and infrastructure.

Box 1. What makes a global fund successful? In setting up a global fund, experience from other sectors can provide important lessons on the design and operation of these financing instruments. The following key design principles are important in explaining the success of global funds in sectors like health: i) a country-led perspective, in which countries are able to identify their needs and tailor the programmes; ii) some form of multi-stakeholder mechanism that gives a voice to national statistical offices, but also civil society and non-government organisations; iii) an independent review process through a technical review panel, together with a governance structure that guarantees political independence; iv) performance-based funding, and a focus on financing rather than implementation; and v) a clear mandate to finance, rather than to implement. Source: Sachs and Schmidt-Traub (2017).

The study should also provide a comparison between a global fund and existing instruments for funding statistical capacity. There is a large diversity of existing mechanisms for financing statistical support. The main instruments used today are multilateral loans to countries, bilateral grants with a country/thematic focus, bilateral technical assistance, multi-donor trust funds and special development grants (Open Data Watch, 2016). The study will compare the advantages and disadvantages of a global fund with the more “traditional” instruments for data and statistics.

III. Make recommendations for setting up a Global Fund on Development Data,

considering the opportunities and challenges

Global funds in other sectors provide important insights into their opportunities and risks. On the one hand, global funds are believed to take a modern approach to resource channelling: they are effective, agile and responsible to development challenges. They have the institutional flexibility to evolve rapidly and provide solutions to issues that require urgent action. As a performance-based instrument, they can be more accountable than other aid mechanisms, and promote better co-ordination among donors and development partners. Through a periodic replenishment mechanism, global funds are also subject to constant evaluation, which gives them the incentives to operate effectively. If not set up properly, however, global funds can also entail some risks. Most of the challenges are associated with deficiencies in the design principles of this type of structure. Global funds that lack a country-led approach, independent review mechanism and performance-based approach, to name a few key factors, have been unsuccessful and unsustainable in the past (Sachs and Schmidt-Traub, 2017). This study will identify these key elements, which will be essential to explain the success and consolidation of existent global fund initiatives. The varying structure and governance of existing global funds suggest there is no one single model; however, certain conditions need to be met in order to be sustainable. In the statistics and data sector some additional considerations will be required, including greater transparency in the allocation of statistical support, and the ability to provide a platform for donor co-ordination and to prioritise statistical support.

https://www.globalfundforwomen.org/about/#.Wo1FRPkrJdh

http://www.unesco.org/new/en/media-services/single-view/news/unesco_welcomes_new_fund_for_education_in_emergencies/


3. METHODOLOGY

The bulk of the work, which will take place from April to October 2018, is planned to be done by an external consultant or institution with a background in development finance and some experience in the data and statistics sector. The Secretariat will provide overall guidance and counsel. The main elements of the consultant’s work will include:

I. A short desk-based literature review

The consultant will review literature on the costing of the SDGs from a data and capacity perspective and the strength and weaknesses of existing funding mechanisms for data and statistics, including a methodological note on the SDG costing exercise and an assessment of the literature on global funds in development.

II. Interviews with key informants and PARIS21 executive committee members, in

particular the World Bank

The consultant will conduct interviews with a range of actors involved in the design, set-up and management of global funds in different sectors (i.e. health, children, women), to identify the successful (or unsuccessful) design principles, governance arrangements and other key characteristics. The interviews will also allow the consultant to identify potential actors with an interest in allocating resources to such an initiative, especially foundations. Close co-operation and discussion are planned with the standing members of the Executive Committee, in particular with the World Bank, given its central role and experience in the field of funding data and statistics.

III. Expert workshop to discuss draft report

An expert workshop will be held to discuss the feasibility of creating a global fund on development data in the coming years. The workshop will gather representatives from the statistical sector, development finance experts and global fund representatives. It will present the idea, the consultant’s report, and discuss the challenges and opportunities and the potential structure and governance of the global fund.

4. TENTATIVE TIMELINE

The consultant will work on the report for approximately 9 months (May 2017 – January 2018), and prepare a draft version of the report in time for the UN World Data Forum in Dubai. The timeline is likely to be as follows:

- March 2018 – Decision at Executive Committee Meeting, integration of comments - May 2018 – Hiring the consultant, presentation of detailed outline at HLG-PCCB meeting in

Rabat - September 2018 – Expert workshop to discuss first draft - October 2018 – Sharing of preliminary findings at UN World Data Forum in Dubai, UAE - Jan 2019 – Finalisation of the study


5. REFERENCES

GPSDD (2016), The State of Development Data Funding 2016, GPSDD. https://opendatawatch.com/wp-content/uploads/2016/09/development-data-funding-2016.pdf OECD (2017), Development Co-operation Report 2017: Data for Development, OECD, Paris. http://www.oecd. org/dac/development-co-operation-report-20747721.htm. Open Data Watch (2016), “Aid for statistics: 2016 inventory of financing instruments”, Open Data Watch, available at https://opendatawatch.com/monitoring-reporting/2016-aid-for-statistics-inventory-of-financial-instruments. PARIS21 (2017), Partner Report on Support to Statistics (PRESS), PARIS21, Paris. http://www.paris21.org/partner-report-on-support-to-statistics-press Sachs, J. and Schmidt-Traub (2017), “Global fund lessons for Sustainable Development Goals”, Science 356(6333): 32-33, available at http://science.sciencemag.org/content/356/6333/32.full. United Nations Statistical Commission (2017), Report of the High Level Group for Partnership, Coordination and Capacity-Building for Statistics for the 2030 Agenda for Sustainable Development, United Nations, New York. E/CN.3/2018/4 UNSDSN (2015), “Data for development: a needs assessment for SDG monitoring and statistical capacity development”, United Nations Sustainable Development Solutions Network, available at http://unsdsn.org/resources/publications/a-needs-assessment-for-sdg-monitoring-and-statistical-capacity-development

https://opendatawatch.com/wp-content/uploads/2016/09/development-data-funding-2016.pdf

https://opendatawatch.com/wp-content/uploads/2016/09/development-data-funding-2016.pdf

https://opendatawatch.com/monitoring-reporting/2016-aid-for-statistics-inventory-of-financial-instruments

https://opendatawatch.com/monitoring-reporting/2016-aid-for-statistics-inventory-of-financial-instruments

http://www.paris21.org/partner-report-on-support-to-statistics-press

http://science.sciencemag.org/content/356/6333/32.full

http://unsdsn.org/resources/publications/a-needs-assessment-for-sdg-monitoring-and-statistical-capacity-development

http://unsdsn.org/resources/publications/a-needs-assessment-for-sdg-monitoring-and-statistical-capacity-development


IX

UPDATE ON CAPACITY DEVELOPMENT 4.0

TASK TEAM

92 | Update on Capacity Development 4.0 Task Team


IX. UPDATE ON CAPACITY DEVELOPMENT 4.0 TASK TEAM

This note provides a summary of the activities of the Task Team on New Approaches to Capacity

Development, established by PARIS21 Board members in 2017. It presents the main results of the

initiative and proposes the next steps for implementation.

Point for Information The Board is invited to make comments on the progress of the task team and to provide guidance on the way forward for implementing the Capacity Development 4.0 initiative.


1. INTRODUCTION

The achievement of the 2030 Sustainable Development Agenda will involve an unprecedented demand for robust and reliable data at the national level. While this has already prompted more opportunities for national statistical systems (NSSs) to improve and invest in their processes and capacities to deliver, many NSSs in developing countries already face an uphill struggle in producing basic quality data for policy making and programme implementation. The emerging data demands from the Sustainable Development Goals (SDGs) are adding to this challenge in a financially constrained environment. In this context, capacity development in data and statistics has become a widely recognised priority, as enshrined in the Cape Town Global Action Plan for Sustainable Development Data. Following its 2017 Annual Meetings, PARIS21 formed a task team to revisit statistical capacity development to respond to these emerging challenges for NSSs. The Capacity Development 4.0 (CD4.0) Task Team gathered representatives from NSOs, international agencies, civil society, think tanks, academia and the private sector. The team had three main objectives: first, to propose a conceptual framework for CD4.0, integrating statistical capacity into the needs of the new data ecosystem; second, to propose indicators for assessing progress against the CD4.0 framework’s dimensions; and third, to design operationalisation principles for the new framework. This note summarises the main results of the task team’s work and makes proposals for consideration for next steps.

Defining CD4.0 Capacity development 4.0 is defined as “the process through which a country’s national statistical system, its organisations and individuals obtain, strengthen and maintain their abilities to collect, produce, analyse and disseminate high quality data to meet users’ needs” (PARIS21, 2018a).

2. CURRENT APPROACHES TO STATISTICAL CAPACITY IN A CHANGING

ENVIRONMENT

The current landscape of data production and dissemination is changing. Information technologies, the emergence of new data providers and users, and the increasing complexity of the data ecosystem have raised new questions on the role and capabilities of NSSs, and in particular national statistical offices, in national policy making. Key concerns include how data and statistics can more efficiently support evidence-based policy making, as well as how they can serve as a vital accountability and transparency tool to enhance government performance. New skills and organisational practices will be decisive in adapting to the new data environment. Current approaches to statistical capacity remain largely focused on technical skills and have ignored the wide range of competencies required in today’s data ecosystem. Soft skills are increasingly necessary across statistical organisations, requiring the NSOs and other relevant actors in the data ecosystem to expand their current skill set. In recognition of this shift, one of the CD4.0 Task Team’s remits was to design and carry out a global survey of new approaches to capacity development and immediate needs (henceforth the CD4.0 survey).


The CD4.0 survey aimed to provide an analytical benchmark of the current state of capacity development among NSOs in 2018, which could inform future actions and guidelines in this area. Ninety heads of NSOs from all global regions responded to the survey. In respect to capacity development, over 40% of all respondents (and 75% of African respondents) identified staff leadership and management skills as an area for further investment. Management skills are crucial for improving planning and reporting systems among producers of official statistics, as well as within the NSO itself. Despite this overwhelming consensus on their importance, however, management skills are not prioritised in capacity development programmes. Appropriate assessment tools and proper financing mechanisms will be essential for improving statistical capacity. Statistical assessments have traditionally guided agencies to identify capacity needs, often through the use of specific benchmarks of compliance. However, most assessments are predominantly focused on skills (statistical production processes, quality assurance and codes of conduct) and resources (legislation, principles and institutional setting) (Fonteneau, Baredes and Mayard, 2018). Financing for statistical capacity development adds further restrictions; there are currently limited data on available domestic/external resources. This is exacerbated by inadequate funding. In 2017, only 7 International Development Association countries (out of a total of 75) were implementing a fully funded national statistical plan (DESA, forthcoming). Lack of funding, combined with limited resources for capacity development, has led national statistical systems to fall into a vicious circle of low production and scant local demand for data (Scott, 2005; OECD, 2017). Current capacity development programmes are supply-driven, and country ownership is modest. The supply-driven approach to statistical capacity development has been a common factor in the implementation of capacity programmes, at the considerable detriment to their domestic usefulness and sustainability. 50% of African NSO respondents to the CD4.0 survey perceive that capacity programmes implemented did not involve sufficient consultation between national and international stakeholders (PARIS21, 2018b). With no clear target or benchmark for capacity, impact and sustainability is not possible (Open Data Watch, 2015). The supply-driven approach is also related to donors’ results-based frameworks perspective, which is characterised by short timeframes and project-level quantifiable results (Denney and Mallet, 2017; OECD, 2017). The result of these interventions is, therefore, not always relevant for domestic policy making. Indeed, 60% of African NSO respondents who received international support mentioned that capacity development programmes in the last year did not respond to their needs.

3. REVITALISING STATISTICAL CAPACITY: THE CD4.0 APPROACH

CD4.0 entails a comprehensive approach

across different levels and targets Capacity Development 4.0 in data and statistics focuses on the capabilities needed by the national statistical system across three levels: individual, organisation, and system. The individual level consists of individual capacities within a statistical organisation; the organisation level involves organisation-wide practices; while the system level refers to interactions among data communities (Figure 5). The CD4.0 approach proposes holistic interventions that help to strengthen the whole system at these three different levels. It stresses the need to strengthen the capability of national statistical systems for interacting with the larger data ecosystem.


Figure 5. The levels and targets of Capacity Development 4.0

Source: Denney, L. and Mallett, R. with Benson, M. S. (2017), Service delivery and state capacity: findings from the Secure Livelihoods Research Consortium. London: Secure Livelihoods Research Consortium.

The CD4.0 framework targets five capability areas that need to be developed if national statistical systems are to meet users’ needs. Building on Denney and Mallett (2017), these key targets are (Figure 5):

i) Resources, which are defined as the means (human, physical, financial, legal) to support

statistical production. Resources can range from the physical infrastructure for running a

population census to the institutional frameworks and arrangements (e.g. statistical law,

confidentiality and data privacy laws).

ii) Skills and knowledge, which include the abilities (e.g. information processing, teamwork),

both individual and organisational, required to perform a task. In this context, they also refer

to the technical skills, such as creative thinking and problem-solving abilities, required to

contribute to organisational innovations.

iii) Management entails the combination of both resources and skills and knowledge to produce

an output. It includes acquiring and distributing resources in the NSS, defining organisational

strategies, and building leadership.

iv) Politics and power refer to the interactions and relationships between units (individuals or

organisations), which often determine the dynamics of the whole system.

v) Incentives are defined as the motives guiding individuals and organisations. Existing

approaches to statistical capacity already recognise the role of resources, skills and

knowledge and, to some extent, management in the production of official statistics.

However, the roles of incentives, and politics and power, are commonly overlooked.

In an era of changing skill demands, CD4.0 aims at strengthening leadership,

communications and strategic thinking, as well as improving the overall

environment for the production of statistics

Resources

Skills and Knowledge

Management

Politics and power

Incentives

Individual

Organisation

System

Targets Levels


Capacity Development 4.0 aims for a more comprehensive set of individual skills and organisational practices. The new and shifting needs of official statistics call for a significant upgrading and expansion of existing skills to include social and emotional skills that can better respond to the complex challenges ahead. The CD4.0 approach recognises leadership, management and communication skills as effective vehicles for strengthening NSSs’ organisational processes, helping them to address both internal and external requirements. Internally, a coherent arrangement of resources matched to goals, a culture of innovation and a motivated workforce are critical. Externally, good communication with stakeholders and strong co-ordination between statistics suppliers are the cornerstones of an approach which meets users’ needs. A new set of individual skills will allow actors in the NSS to reach users better. One example is the capacity for storytelling in official statistics. CD4.0 Survey results highlight the persistent challenges for NSOs in communications and advocacy. Around 71% of survey respondents report having communication challenges with data providers when using non-traditional sources. More than 40% of NSOs report being interested in establishing partnerships with the private sector to access big data and geospatial data (a key action of the Cape Town Global Action Plan), but lacking sufficient knowledge to pursue them. Despite this, intensifying the interaction between users and producers of official statistics was identified as a priority for NSOs, with 22% of respondents mentioning developing relevant products for users as a goal for their NSS.

Capacity Development 4.0 means enhancing co-ordination and

establishing the right incentives Capacity Development 4.0 integrates a donors’ perspective and improves co-ordination in delivery. The framework stresses the importance of donor co-ordination for delivering capacity and describes the emerging examples in this area. New mechanisms are being discussed for improving donor co-ordination and the targeting of needs in the data and statistics sector. One example is an initiative led by the High-Level Group on Partnership, Coordination and Capacity Building (HLG-PCCB) that is exploring the possibility of creating a global fund on development data. The model of an international partnership for attracting financial resources for the sector could be extended to other areas, for example, to optimise planning and thematic distribution of capacity development programmes among providers. Addressing incentives to participate in capacity development programmes can identify more sustainable and effective motivation mechanisms. The monitoring of capacity programmes has paid little attention to the underlying incentives for individuals and organisations to participate. What incentives do participants have for attending training programmes? How do organisations select their representatives for international trainings? Why do donors continue to choose training as the main tool for capacity development? Capacity Development 4.0 aims to understand these factors, and integrates them into better programme delivery. To many, the current approach involves a system in which donors focus on short-tem, output-related results (e.g. number of people trained), and statistical organisations rely on capacity programmes to motivate their employees (e.g. with per diems as rewards). A systematic consideration of incentives during the design and implementation of programmes could be the first step in achieving their stated objectives. The Measurement group of the CD4.0 Task Team (see Annex II) reflected on a new set of indicators to include these aspects and to allow for diagnosing and flagging deficiencies in unexplored capacity areas. The final goal of Capacity Development 4.0 is to support countries in achieving a ‘virtuous data circle’. Integrating a comprehensive approach to the way data and statistics are generated and used, the CD4.0


approach aims to tackle both sides of the spectrum: data demand and supply. The opportunities for data generation and disaggregation today are significant and growing, and suggest that encouraging data use, particularly for policy making, will be more of a more complex endeavour in the future.

4. TOWARDS GUIDING PRINCIPLES FOR CAPACITY DEVELOPMENT 4.0

After nearly 15 months of extensive consultation, research and activities, the task team has successfully achieved its objectives. Key outcomes include: 1) a conceptual framework for future work developed and fully endorsed by all task team members; 2) new indicators that can better track and measure progress in the conceptual framework’s new dimensions, developed from the analysis of international assessments on statistical capacity; and 3) a collection of case studies from existing capacity development programmes by participants of the operationalisation subgroup, who illustrated their experiences through the lens of CD4.0. In addition, the task team has identified “success criteria” for implementing capacity development programmes:

Accountability practices for project management and the incorporation of results-based

monitoring.

Effective absorption of new knowledge and/or processes, which can be improved by targeting a

country’s innovation capability.

A comprehensive approach to capacity development, which goes beyond technical competencies

to include soft skills, changes to organisational structures and to address institutional constraints

where needed.

Adaptability to the local environment, respecting organisational practices, culture and the work

environment.

Project sustainability, both in terms of outcomes (where tangible and measurable results can be

defined for the medium term) and of financing.

5. MOVING FORWARD

It is proposed that these success criteria form the basis for defining the guiding principles that are to be discussed, further refined and eventually adopted by the task team’s organisations. The suggested timeline for developing these principles is six months, with possible milestones where discussions can be advanced and finalised, such as the World Data Forum or other international meetings.

6. REFERENCES

Denney, L. and Mallett, R. with M.S. Benson (2017), Service delivery and State Capacity: findings from the Secure Livelihoods Research Consortium, Secure Livelihoods Research Consortium, London,


https://securelivelihoods.org/publication/service-delivery-and-state-capacity-findings-from-the-secure-livelihoods-research-consortium. Fonteneau, F., Baredes, B. and C. Mayard (2018), Measuring Statistical Capacity Development: a review of current practices and ideas for the future – moving towards Statistical Capacity 4.0, PARIS21, Paris, http://www.paris21.org/results-cd40-task-team. DESA (forthcoming), The Sustainable Development Goals Report 2018. UN, New York.

http://www.un-ilibrary.org/economic-and-social-development/the-sustainable-development-goals-report-

2017_4d038e1e-en?citeformat=ris&igo=unp

OECD (2017), Development Co-operation Report 2017: Data for Development, OECD Publishing, http://dx.doi.org/10.1787/dcr-2017-en. Open Data Watch (2015): Partnerships and Financing for Statistics: Lessons Learned from Recent

Evaluations. https://opendatawatch.com/wp-content/uploads/2015/12/Partnerships-and-Financing-for-

Statistics-Lessons-Learned-1.pdf

PARIS21 (2018a), Proposing a Framework for Capacity Development 4.0 (draft), PARIS21, Paris, www.paris21.org/results-cd40-task-team. PARIS21 (2018b), “Draft report on responses to the joint survey on New approaches to Capacity Development and Future priorities”, PARIS21, Pariswww.paris21.org/results-cd40-task-team. Scott, C. (2005), Measuring up to the Measurement Problem: The Role of Statistics in Evidence Based Policy-making, PARIS21, Paris, www.paris21.org/node/672.

http://www.un-ilibrary.org/economic-and-social-development/the-sustainable-development-goals-report-2017_4d038e1e-en?citeformat=ris&igo=unp

http://www.un-ilibrary.org/economic-and-social-development/the-sustainable-development-goals-report-2017_4d038e1e-en?citeformat=ris&igo=unp

https://opendatawatch.com/wp-content/uploads/2015/12/Partnerships-and-Financing-for-Statistics-Lessons-Learned-1.pdf

https://opendatawatch.com/wp-content/uploads/2015/12/Partnerships-and-Financing-for-Statistics-Lessons-Learned-1.pdf


ANNEX II: REPORT OF ACTIVITIES OF THE TASK TEAM IN NEW APPROACHES TO CAPACITY

DEVELOPMENT

1. COMPOSITION AND CONVENORSHIP The task team functioned in three sub-groups: conceptual framework, operationalisation and measurement. It was co-ordinated by the PARIS21 Secretariat together with the co-chairs of each of the sub-groups: UNDP (Conceptual Framework), National Statistical Office of Mongolia (Operationalisation) and Inter-American Development Bank (Measurement). Following a call for interest, task team members were selected based on their expertise in the field and with a view to ensure balanced representation of multilateral agencies, research centres, civil society organisations, statistical offices and statistical training centres.

2. OBJECTIVES AND ACTIVITIES

The task team worked primarily via the community site, e-mail exchange and videoconferences. A two-day workshop also took place in December 2017 to further refine the approach. The following objectives were met: 1. A refined conceptual framework for Statistical Capacity Development 4.0 (view the paper: Proposing a

framework for Capacity Development 4.0).

2. An online repository (Open Assessment Repository) to compare existing statistical capacity

assessments with each other and the proposed conceptual framework

3. A review of existing assessments of statistical capacity to explore what they measure and which of the

proposed indicators for dimensions of Capacity Development 4.0 are not currently covered (see the

paper: Measuring Statistical Capacity Development: a review of current practices and ideas for the future

– moving towards Statistical Capacity 4.0).

4. A global survey to assess the state of statistical capacity development and countries’ priorities,

conducted with the High-Level Group on Partnership, Coordination and Capacity Building for the 2030

Agenda.

X

USE OF STATISTICS INDICATOR

102 | Use of Statistics Indicator


X. THE “USE OF STATISTICS” INDICATOR: WHERE DO WE STAND?

This document provides an update on PARIS21’s latest work on an indicator to measure the use of statistics in policy making. It includes a rationale for updating the indicator, summarises the methodological improvements and outlines the preliminary results. Point for Information

1. RATIONALE

The first indicator on the “use of statistics in policymaking” was developed by PARIS21 in 2012. As part of its monitoring of the Busan Action Plan for Statistics (BAPS), the Secretariat developed a methodology to monitor Objective 1 (“Fully integrate statistics in decision making”). The indicator has been computed in subsequent years to measure progress against BAPS implementation. The endorsement of the Cape Town Global Action Plan in 2017 increased the interest on the part of the Secretariat and several Board members to revisit the indicator. The literature on use of statistics traditionally identifies two main channels through which statistics have an effect on policy making (Ardanaz, Scartascini and Tommasi, 2010). The first is efficiency, whereby the availability of indicators allows for the better allocation of resources. Statistics allow governments to track the deployment of public resources, such as the distribution of public investment. The second channel is “public regardedness”, that is, the extent to which a policy is designed to promote public welfare. Statistics enable the effect of public policies to be monitored, helping to enhance those that are more directly linked to public well-being. The Use of Statistics (UoS) indicator, described in PARIS21 (2015), has its theoretical roots in Scott’s (2005) definition of evidence-based policy making. In this context, and wherever possible, public policy decisions should be informed by careful analysis using sound and transparent data. Drawing on the existing literature, use of statistics is defined as the systematic use of statistical knowledge to inform programme design and policy choice, monitor policy implementation and evaluate policy impact (Russell and Munoz Ayala, 2015; Scott, 2005). Using a text mining methodology on national policy documents, in particular Poverty Reduction Strategy Papers (PRSPs) and National Development Plans (NDPs), the updated indicator seeks to capture how the decisions reflected in national planning documents are taken and supported through statistical evidence. The final “score” can be interpreted as a measure of the role of data in policy decision making. The proposed methodology builds on PARIS21’s approach to measuring the use of statistics and suggests some methodological refinements to improve the accuracy and relevance of the indicator. The policy cycle is divided in two main components: ‘upstream’ (associated with problem identification, programme design, policy choice and forecasting) and ‘downstream’ (monitoring and evaluation, and policy impact evaluation). The proposed indicator aims to track different levels of sophistication in the use of statistics in the upstream cycle components, taking into account that robust decision making relates specific actions to clear and measurable outcomes.


2. INNOVATIONS

To align with the proposed definition of the use of statistics, and taking into account the context of Sustainable Development Goal (SDG) implementation, the indicator will be strengthened in three main ways: a) geographical and time coverage; b) thematic scope; and c) levels of use, to improve accuracy and relevance.

I. Coverage

The updated indicator uses a sample of public documents from a large sample of countries, mostly low and middle-income countries. The sample contains all PRSPs and NDPs available online since the beginning of the highly Indebted Country Initiative (HICI), launched in 1999. Because countries follow different timetables for sanctioning these plans, two panel waves were devised: wave 1 (2000-2008) and wave 2 (2009-2017). The sample consists of 128 countries, 63 of which are covered in the two waves. The number of documents per country has also been enlarged: more than one document is considered for 33 countries in the first wave and for 26 in the second (See Table 8).

Table 8: Distribution of countries by wave and available documents per country

Available documents

(per country)

Number of countries Wave 1

(2000-2008)

Number of countries Wave 2

(2009-2017)

1 47 77

2 30 23

3 3 3

II. KEYWORD SELECTION: CLUSTERING AND THEMATIC SCOPE

Methodological improvements were implemented to increase the validity of the proposed indicator, that is, its capacity to measure statistical use as defined. The first innovation aims at ensuring that the statistical keywords used in the data-mining methodology correspond to the public documents in the sample. For this, and following the nascent literature, a clustering method is implemented to define the list of statistical terms that will feed the indicator (Grimmer and Stewart, 2013). The algorithm, known as term-frequency–inverse document frequency, is widely used in text mining practices. The clustering method implements a stemming process to capture a list of “word roots” associated with different topics (e.g. gender), such as a list of commonly used keywords in the corpus text related to each topic (e.g. violence). To improve the validity of the indicator, the preliminary list of keywords provided by the clustering has been complemented by a list of indicators from international agencies (World Bank, WHO, UNESCO, UNIDO, ITU, UN Women, OCHR, UNWTO, ILO, OECD, EU, UNSD). A key improvement to the existing


indicator has been to include (in a simplified form) a list of statistical terms related to the SDG agenda, which had previously not been considered.19 The new methodology for selecting keywords substantially expands the topics covered and produces a reliable benchmark against which to measure. The current list has expanded from 183 to 572 keywords, improving the relevance of statistical concepts across all sectors (Figure 6), and aligning with the recent terminology used for the implementation of the SDG agenda. The sector classification was also modified, moving down from 25 to 22 (as defined in the World Development Indicators).

Figure 6: Comparison of distribution of keywords by sector in previous and current lists

Note: vertical axis represent number of words per sector.

III. Levels of use

The proposed refinements also aim to improve how well the indicator measures the concept of use of statistics. The occurrence of a statistical term or keyword in the NDP does not necessarily imply use (see Box 1 for an example). A refinement to the current methodology aims at better capturing the use of statistical terms to reflect policy use. Box 1: Semantic differences between types of sentences

To measure the use of statistics in policy decision documents, it is important to differentiate the way that statistical terms and indicators are used. Frequency in the use of a term is not necessarily related to use of statistics per se. As an example, the following two sentences were extracted from Zambia’s National Development Plan 2017-2021. Sentence 1

“Therefore, the Government implemented a number of social protection interventions such as the social cash transfer, school feeding and the food security pack, targeting the extreme poor and vulnerable households, to improve their welfare and livelihoods.” (p. 21) Sentence 2

“However, under the SNDP period a total of 111,400 low capacity households received food security packs to support

19 As an example, the SDG Indicator 2.1.2 (prevalence of moderate or severe food insecurity in the population, based

on the Food Insecurity Experience Scale) was introduced in the new keyword list as ‘food insecurity’).

0

25

50

75

100Current

Previous


agricultural productivity for enhanced household food security, compared to 118,226 households under the FNDP period representing a drop of 5.8 percent involving 6,826 households” (p. 21) While Sentence 1 only incorporates the concept of food security in the plan, Sentence 2 provides a clear description of the indicator/statistic related to the programme.

To capture the depth or sophistication of statistical use, a future improvement of the indicator (to be

implemented in 2018) will consist of developing a similar taxonomy to the one provided by the Statistical

Literacy indicator developed by PARIS21. In this indicator, three different levels of literacy are defined

(Klein, Galdin and Mohamedou, 2016):

Level 1. Consistent, non-critical: Appropriate but non-critical engagement with context, multiple aspects of terminology usage.

Level 2. Critical: Critical, questioning engagement in contexts that do not involve proportional reasoning, but which do involve appropriate use of terminology.

Level 3. Critical mathematical: Critical, questioning engagement with context, using proportional reasoning particularly in chance contexts, showing appreciation of the need for uncertainty in making predictions, and interpreting subtle aspects of language.

A first step in improving the current methodology will be to analyse the text at the sentence level (instead

of word level). A sentence-oriented analysis provides a better insight into the context around the

statistical term.

3. FUTURE IMPROVEMENTS

Additional improvements to the indicator will include the identification and analysis of specific components in NDPs/PRSPs, including monitoring and evaluation frameworks and the assessment of progress (period by period) across National Development Plans. Further work will also include developing a UoS indicator for specific sectors (e.g. agriculture, gender or labour), using sector-specific lists and documents for the analysis. The UoS indicator for policy making follows on the Statistical Literacy indicator monitored by PARIS21, and will be integrated into the forthcoming PARIS21 Flagship Report.

4. REFERENCES

Ardanaz, M., Scartascini, C. & Tommasi, M. (2010), “Political institutions, policymaking, and economic policy in Latin America”, Inter-American Development Bank Working paper No. IDB-WP-158, http://www20.iadb.org/intal/catalogo/PE/2010/04914.pdf.

Grimmer J. and Stewart, BM. (2013), “Text as data: The promise and pitfalls of automatic content analysis methods for political texts”, Political Analysis Vol. 21, No. 3 (Summer 2013), pp. 267-297.

http://www20.iadb.org/intal/catalogo/PE/2010/04914.pdf


Klein, T. Galdin, A and Mohamedou, EL. (2016), “An indicator for statistical literacy based on national newspaper archives”, in Procedings of the Roundtable Conference of the International Association of Statistics Education (IASE), July 2016, Berlin, Germany. PARIS21 (2015), “A scoring system to measure the use of statistics in the policy-making process”, PARIS21, Paris, www.paris21.org/sites/default/files/Scoring_System_Use_Of_Data_2015_DFID.doc. Russell, M. and Muñoz-Ayala, J. (2015) Un estudio exploratorio para medir el uso de estadísticas en el diseño de política pública (Working Paper No. IDB-BP-374) Washington, D.C.: BID. Scott, C. (2005), “Measuring up to the measurement problem: the role of statistics in evidence based policy-making, PARIS21, Paris, www.paris21.org/node/672.

http://www.paris21.org/sites/default/files/Scoring_System_Use_Of_Data_2015_DFID.doc


XI

UPDATE ON NSDS GUIDELINES

110 | Update on NSDS Guidelines


XI. UPDATE ON NATIONAL STRATEGIES FOR THE DEVELOPMENT

OF STATISTICS GUIDELINES

On 22 March 2018, the Secretariat organised the fourth meeting of the National Strategies for the Development of Statistics (NSDS) Guidelines Reference Group. This group is co-chaired by the UK’s Department for International Development (DFID) and PARIS21 and is comprised of organisations and country representatitives from across the globe: Ethiopia, Jamaica, Palestinian Authority, Somalia, Vanuatu, the Caribbean Community (CARICOM,) Eurostat, the United Nations Economic Commission for Africa (UNECA), the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) and the United Nations Economic and Social Commission for West Asia (ESCWA). The reference group discussed and approved updates related to the following eight sections of the guidelines: Updates will be uploaded onto the NSDS Guidelines website in English one month after the Board Meeting and in the other four languages (Arabic, French, Portugese, Spanish) six to eight weeks after the Board Meeting. I. Key emerging issues for NSDSs: this section summarises how the guidelines answer some of

the key emerging issues for statistical /data production, dissemination and use. It provides

links to the sections of the guidelines that cover: the 2030 Agenda and the production of

Sustainable Development Goals (SDGs) indicators; the costing of NSDSs; the data revolution;

regional strategies; subnational strategies; data dissemination; dialogue with users; and open

data. In 2018 we have added a new paragraph on the Capacity Development 4.0 (CD4.0)

framework. As CD4.0 is a new development that could prove to be very important to the

NSDS process, it would be important to expand the NSDS to include the enabling

environment and not limit it to the production aspects and the technical skills.

II. National statistical system (NSS) assessment: this section has been updated to reflect the

expertise that PARIS21 gained working on the Task Team on New Approaches to Capacity

Development and on the Guide for selecting NSS assessments. The new text provides

guidance on how to select and conduct an assessment, as well as sample questions for a

CD4.0-compliant evaluation.

III. Budget, financing: this section has been updated to provide guiding principles on how to

prioritise activities from the NSDS action plan to seek funding in order to meet NSDSs’

strategic goals. It also describes how to select a funding partner and a funding modality, and

how to manage donor relationships.

IV. Small islands developing states (SIDS): this section was updated to include a section on

“Updates on the NSDS process in SIDS”. This takes into account the “NSDS Guidelines for SIDS

2018”, which adapt the NSDS process to the specific requirements of SIDS’ national statistical

systems (and national statistical offices – NSOs) that are facing constraints in developing their

statistical strategies. The guidelines still adhere to the core NSDS structure and functions, but

112 | Update on NSDS Guidelines

provide for more emphasis on six areas to help facilitate greater national commitment to the

formulation and implementation of NSDSs, including a much shorter formulation time frame.

V. Regional strategy for the development of statistics (RSDS): this section includes minor

updates to include recent RSDS activities in the Caribbean region (CARICOM and the

Organisation of Eastern Caribbean States – OECS).

VI. The Advanced Data Planning Tool (ADAPT): This section has been updated in order to

integrate the latest developments to the tool, as well as lessons learned from its expanded

use by a wide range of NSOs. The section highlights the phases of the NSDS process in which

ADAPT can aid.

VII. Specific Issues: we added a new section called ‘Guidelines for Developing a Communications

Strategy’ to the Specific Issues part of the NSDS to inform users about new guidelines we

have developed to help them put in place a communications strategy for the national

statistical system. The importance of communications have repeatedly been highlighted in

NSDSs, but little progress has been made in developing communications strategies despite

countries’ willingness to tackle this issue. For these reasons, PARIS21 helped Botswana in the

fall of 2017 to develop its first communications strategy and is currently working with Ghana

to finalise theirs. The new guidelines are based on these experiences and will be made public

soon.

VIII. Recent NSDS examples: this section has been updated by adding 10 new NSDSs and other

national statistical strategic plans that were developed in 2017. Of the 13 NSDS examples in

the previous version, the 10 that are still relevant have been kept. This gives a total of 20

examples as part of the NSDS guidelines.

XII

APPENDIX I: FINANCIAL STATEMENT OF THE

PARIS21 SECRETARIAT (2017)

114 | Appendix I: Financial Statement of the PARIS21 Secretariat (2017)


XII. APPENDIX I : FINANCIAL STATEMENT OF THE PARIS21

SECRETARIAT (2017)


PARIS21 PROGRAMME

HISTORY OF VOLUNTARY CONTRIBUTIONS / GRANTS RECEIVED BY PARIS21 BY YEAR OF ACCEPTANCE BY THE OECD - ALL AMOUNTS IN EUROS

Country / Institution 1999-2007

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Grand Total

Australia 5) 672,354 95,303 415,552 1,183,209

Austria 200,000 200,000

Belgium 1,000,000 200,000 200,000 200,000 200,000 200,000 2,000,000

Canada 6) 9) 966,370 254,300 38,300 19,187 16,283 150,405 1,454,748

2,899,593

EFTA 80,000 80,000

European Commission 4) 16,226 121,185 108,732 350,000 150,000 250,000 996,143

Finland 6) 200,000 100,000 100,000 100000 70,000

570,000

France 1,424,000 45,000 1,469,000

Greece 200,000 200,000

Germany 12) 57,195 57,195

Ireland 762,499 100,000 50,000 50,000 50,000 50,000 1,062,499

IsDB 44,791 44,791

Italy 200,000 200,000

Japan 68,602 68,602

Korea 36,000 34,000 40,000 37,000 40,000 40,000 40,000 267,000

Netherlands 1,050,000 882,580 1,932,580

Norway 579,262 198,879 618,842 1,396,983

Qatar 10) 63,300 63,300

Spain 1,000,000 1,000,000

Sweden 660,519 660,519

Switzerland 3) 10) 597,696 99,445 162,554 457,810 615,334 1,932,838

UN Foundation

8,890 8,890

UN Women11

0


UNDP

0

United Kingdom 1) 7) 3,904,596 2,221,746 3,249,014 8,114,687 17,490,043

USA - Gates Foundation 2)

8) 1,491,647 282,534 1,774,181

World Bank 9,636,630 3,226,731 2,683,917 2,484,736 2,513,903 1,857,041 1,959,616

24,362,574

Other income 25,050 4,704 5,804 12,488 3,725 4,860 56,630

On-going multi-year grants/VCs

1) Grant from DFID 3,249,014 € covering the period 2013-2015

2) Grant from Gates Foundation 1,491,647 € covering the period November 2013 - October 2015

3) Grant from Switzerland 457,810 € covering the period 1 January 2015 - 31 December 2016

4) Grant from EUROSTAT 150,000 € covering the period 1 January 2016 - 31 December 2017 and 250,000€ covering hte period from 1 January 2018 - 30 June 2019

5) Grant from Australia 412,638 € covering the period 8 July 2015 - 31 December 2017. This figure includes a reduction of 206,319 EUR of their grant due to DFAT restructuring of financing in the Pacific Region.

6) Grant from Canada 150,405 € covering the period 1 January 2015 - 31 March 2016

6) Grant from Finland 70,000 € covering the period 1 January 2015 - 31 December 2016

7) Grant from DFID 8,114,687 € covering the period 2016-2018

8) Grant from Gates Foundation 282,534 € covering the period 1 January 2016-31 December 2017

9) Grant from Canada 1,454,748 € covering the period 1 January 2016 - 31 March 2019

10) Grant from Switzerland 615,334 EUR covering the period 1 January 2017-31 December 2019 11) Grant from UN Women currently under negotiations 2,289,114 € covering the period 1 September 2017 - 31 December 2020

12) Grant from GIZ 57,195 covering the period 1 December 2017 - 31 August 2018


*

NOTES

120 | Notes


122 | Notes

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