Data & Statistical Support to PICTs 19 March Tanoa Skylodge - PowerPoint PPT Presentation

UN - DMEG Data & Statistical Support to PICTs 19 March Tanoa Skylodge Hotel

UNITED NATIONS PACIFIC STRATEGY (UNPS) 2018 - 2022  5-year strategic framework  Outlines the collective response of the UN system to the development priorities in 14 PICTs  Supports the 14 governments and peoples in the Pacific to advance a localized response to the global 2030 Agenda for Sustainable Development  Focus on 6 Outcomes: Climate Change, Disaster Resilience and Environmental Protection; Gender Equality; Sustainable and Inclusive Economic Empowerment; Equitable Basic Services; Governance & Community Engagement; & Human Rights

UNPS 2018-2022 RESULTS FRAMEWORK Outcome UNPS Indicators SDG Indicators 1 Climate Change, Disaster 5 5 Resilience & Environmental Protection 2 Gender Equality 4 4 3 Sustainable and Inclusive 6 6 Economic Empowerment 4 Equitable Basic Services 11 9 5 Governance and Community 6 5 - (16.9.1, 16.10.2, Engagement 17.19.2) 6 Human Rights 6 1 Total 38 30

UNPS-PHIs-SDGIs

DATA, MONTORING AND EVALUATION GROUP (DMEG)  Established in September 2016  UNFPA – Chairing Agency  Members – All 17 residing UN agencies in the Pacific. (M&E experts, statisticians, data and programme specialists)  Coordinated Technical Support and Advise on the Data Monitoring & Evaluation requirements of the UNPS and the SDGs (UCG/ Regional SDG Task Force/ PSSC)

EXPECTED RESULTS OF DMEG  To strengthen PICTs capacity in the areas related to the SDG Goals (17.18.1), Targets and Indicators, Pacific Sustainable Indicators and the UNPS indicators.  To support PICTs to produce and to regularly update national data profiles including SDG Goals, targets and indicators.  To strengthen partnerships and policy dialogue on data with national and regional stakeholders.  To support PICTs for mapping (in collaboration with the SPC Statistics for Development Division) of all major data related investments envisaged between now and 2030.  To improve delivery of technical support to PICTs in the monitoring of their SDGs through enhanced support to their efforts to strengthen their national statistical systems (data ecosystem).

KEY MILESTONES  5 Meetings (1 joined by SPC Suva and Noumea)  Provision of data and evidence to support UNCT strategic prioritization of the UNPS 2018-2022 and results framework  Assessment of SDG Indicators Data availability, analysis and utilization.  Collaboration with SPC and Regional SDG Task Force (Joint concept note on data and PSHIs)

UN – DMEG SUPPORT TO PICTS Support Data Availability Having Quality Data on a timely basis for decision makers according to International Methodology and Comparability Data Data being Public Good and it should be publicly accessible to all users Accessibility Data Analysis Targeted and User friend Analysis Data Utilisation Working with the end users to ensure that all policies, programmes and projects are evidence based Data Initiatives geared towards strengthening data and statistical governance, coordination Governance and ensuring effective functionality Data Integrity Refers to the accuracy and consistency of data stored in a database; is a fundamental component of information security. For example reporting on the findings from the data collected.

SDG Country Data Sheets  Sample to Insert

SDG Country Data Sheets - SOI

Next Steps  To assess available data to ensure compliance with International standards  Disaggregation at sub national level to address the Leaving No One Behind

Disaggregation by Province 3.1.2 Proportion of births attended by 28 6 UNICEF WHO, UNFPA 85.5 86.2 skilled health personnel - National 3.1.2 Proportion of births attended by 92 89.4 skilled health personnel - Choiseul 3.1.2 Proportion of births attended by 93.1 96.7 skilled health personnel - Western 3.1.2 Proportion of births attended by 92 96.8 skilled health personnel - Isabel 3.1.2 Proportion of births attended by 92 81.7 skilled health personnel - Central 3.1.2 Proportion of births attended by 92 73.8 skilled health personnel - Rennell-Bell 3.1.2 Proportion of births attended by 69 80.1 skilled health personnel - Guadalcanal 3.1.2 Proportion of births attended by 81.5 81.1 skilled health personnel - Malaita 3.1.2 Proportion of births attended by 92 80.1 skilled health personnel - Makira-Ulawa 3.1.2 Proportion of births attended by 92 91.8 skilled health personnel - Temotu 3.1.2 Proportion of births attended by 93.9 97 skilled health personnel - Honiara

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