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CRVS: Priorities for Gender Data and Indicator in the SDGs


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Presentation by Francesca Perucci (UNDESA) at the High-Level Panel and technical consultations on Making the Invisible Visible: CRVS as a basis to Meeting the 2030 Gender Agenda - Ottawa, 26 February 2018.

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CRVS: Priorities for Gender Data and Indicator in the SDGs

  1. 1. CRVS: Priorities for Gender Data and Indicator in the SDGs Gender CRVS Meeting, Ottawa, 26-28 February 2018
  2. 2. Data needs for the SDGs
  3. 3. Data needs of 2030 Agenda Agenda 2030 (A/Res/70/1) : …To support accountability to our citizens, we will provide for systematic follow-up and review at the various levels... Quality, accessible, timely and reliable disaggregated data will be needed to help with the measurement of progress and to ensure that no one is left behind. Such data is key to decision- making. Addressing the unprecedented data needs requires: • Integration of data sources (traditional and non traditional) • Leveraging technology/innovation 3
  4. 4. CRVS and gender in the SDGs
  5. 5. Importance as data source • CRVS are important for the full implementation of the 2030 agenda – Monitoring: Data source for 16 indicators (directly) and 48 (indirectly) with sex disaggregation – Data for the “denominator” of indicators – Implementation: Data to inform policies and intervention – Important data source, together with population census for population data in smaller areas – Important data source for planning of health and preventive services – In crisis due to natural disasters
  6. 6. …and from a governance perspective • CRVS are themselves targets in the SDGs because of their fundamental importance for sustainable development – CRVS as a key component of a strong and reliable statistical system – Birth registration/legal identity – Goal 16 (from the human rights’ perspective) – Target 17.19 – achievement of 100% birth reg. and 80% death reg. – Marriage&Divorce reg. contribute to women’s rights fulfilment – right to inherit – Birth registration of girls – legal backing against forced and early marriage • They are a fundamental function of government
  7. 7. Priorities for strengthening CRVS
  8. 8. Challenges and opportunities • Challenges: – Need to work with different parts of government – civil registry, health ministries and statistical systems – CR are not developed primarily for statistical/data production – need to look at content from a gender perspective • Opportunities: – 2030 development agenda and its principles – opportunity to make it a political priority – Opportunity to raise awareness - Increase the demand side – New partnerships with the private sector and civil society – New technology (increased cell phone coverage, use of unique identifiers, interoperability of data and information systems)/integration of data (i.e. with geospatial information systems)
  9. 9. The way forward
  10. 10. Cape Town Plan of Action for Sustainable Development Data Strategic Area 3: Strengthening of basic statistical activities and programmes, with particular focus on addressing the monitoring needs of the 2030 Agenda Under Objective 3.1: Support developing countries in implementing CRVS programmes that will facilitate the collection, collation and dissemination of disaggregated data.
  11. 11. Strengthening of CRVS • Integrate the development of CRVS into National Development Strategies • Work with different parts of government to raise awareness—there is momentum for policy makers to be encouraged to make a commitment to support data programmes • Integrate the development of CRVS as a key data source in National Statistical plans/NSDSs • Still relying on HHS for most indicators -- Balance between strengthening household survey programmes and CR systems (larger investments initially, but cost effective in the long term)
  12. 12. Instruments at the global level • HLG-PCCB and implementation of the Cape Town Global Action Plan • HLG-PCCB sub-group on Financing • New work streams within the IAEG-SDGs (disaggregation) and within UNSC (Titchfield city group on ageing statistics and age-disaggregated data) • Promote synergy between different processes at the global level (UNSC, HLPF, etc.)