1. African Workshop Implementation of the SDG indicator framework
10th Tranche Development Account Programme on Statistics and Data
19-20 January 2017, Cape Town, South Africa

2. 2030 Agenda and SDG Indicators - Principles
Translation of global goals, targets and indicators to the national context based on national priorities
Open, inclusive, participatory and transparent for all peoples
Country-led indicators and data of high quality, accessible, timely, reliable, and disaggregated by income, sex, age, race, ethnicity, migration status, disability and geographic location, and other characteristics relevant in national contexts
Built on existing platforms and processes, while taking into consideration emerging methodologies
Maintain a longer term orientation, and identify achievements, challenges, gaps and critical success factors
Coordinated and joint support to data and national statistical capacity strengthening from across the UN system

3. SDG Indicators: challenges and opportunities
Scope
230 indicators
Granularity
Data disaggregation
Quality
Timeliness reliability
Eco-system
Digital transformation
Data sources
Big Data
Data community
Data providers & producers
Modernisation
Integration & Standardisation
Interoperability
Methodology
Mix-mode
Institutional environment
Resources &
Capability
Infrastructure
IT & applications
Know-how
HR development
Leadership
Coordination
Partnership
What are these challenges that triggered common reaction initiated with the ESS Vision 2020?
1. Data revolution – new technologies – competitive pressure – rapidly increasing flood of data from various sources – potential to improve timeliness, relevance and response burden – but uncertain quality – what role for official statistics?
2. New metrics – global phenomena that cannot be described with traditional indicators based on purely national data – need for reorientation of analytical focuses and for new statistical products with different geo-levels
3. Price of statistics – quality is never cheap – change=investment – but resources are shrinking – response burden expected to be reduced – data expectations rising – how to keep quality high and preserve this competitive advantage?
4. Future of Europe – policy targets are increasingly quantitative and based on statistical evidence – highest quality and quick delivery expected and assumed – notably in EU's enhanced economic governance
Challenges
Opportunities
Capacity Building

4. 10th Tranche Development Account Programme on Statistics and Data (DA10)
Objective:
To strengthen the statistical capacity of developing countries to measure, monitor and report on the sustainable development goals in an accurate, reliable and timely manner for evidence-based policymaking
Principles:
Adapt to the needs of the countries and the evolving agenda
Build on comparative advantages of and close cooperation between the Development Account implementing entities
Build on existing initiatives and programmes (coordination)
Encourage external participation and funding (partnership)

5. DA10: Implementing Entities
Global Entities
Regional Entities
UNSD (DESA)
UN Statistics Division
ECA
UN Economic Commission for Africa
UNCTAD
UN Conference on Trade and Development
ECE
UN Economic Commission for Europe
UNEP
UN Environmental Programme
ECLAC
UN Economic Commission for Latin America and the Caribbean
UN-Habitat
UN Human Settlements Programme
ESCAP
UN Economic and Social Commission for Asia and the Pacific
UNODC
UN Office on Drugs and Crime
ESCWA
UN Economic and Social Commission for Western Asia

6. DA10: Structured around 4 Pillars
Pillar 1: Means of implementation
Cross-cutting pillar aiming at enhancing capacity of developing countries to strengthen statistical institutional environments and production processes across multiple statistical domains (integration)
The African Workshop on the Implementation of the SDG indicator framework is organised under pillar 1
Pillar 2 – 4: Statistical domains
Sectoral pillars aiming at strengthening capacity in developing countries to measure and monitor sustainable development goal indicators in environment [2], social and demographic [3], and economic [4] statistics areas
The social and demographic pillar [3] is subdivided in 4 components: population and demographic statistics; gender statistics; poverty and inequality statistics; and peaceful and inclusive society statistics

7. DA10 and the Global Context
Social & demographic pillar
Environmental pillar
Economic pillar
Means of Implementation
Guidelines to support SDG country reporting [UNDG]
Global Indicator Framework [IAEG-SDGs]
Global Action Plan [HLG-PCCB]
Framework for reflection, planning, and implementation of statistical building programmes to achieve the scope and intent of the 2030 Agenda. 1 2 3 4

8. DA10: activities and deliveries
Regional, sub-regional and national workshops / seminars / trainings
Expert group / technical group meetings
Advisory services / country missions
Guidelines / methodology / tools
Training material / e-learning / case studies / best practices
DA10: budget and timeframe
USD 10M
Sept 2017 – Dec 2019
Subsequent tranches of DA could complement or extend the DA10

9. Institutional & Technical
Regional
Development
Plan /
2063 Agenda
2030 Agenda
National
Plan
Thematic
Reviews
Regional
Global
Reporting
National
National
Indicator
Framework
Regional
Global
DA10
Data and Statistics
Production
Capacity
Building
Global
Action Plan
Regional
Action Plan /
RSDS
Global
Database
National
National
Action Plan /
NSDS
Assessment
Institutional & Technical
Capability

10. For questions and comments: Gabriel Gamez | Inter-regional Adviser
United Nations Statistics Division
Department of Economic and Social Affairs | United Nations
2 UN Plaza | Room DC | New York, NY 10017, USA
| Tel: | Cell: 10