Proposed gender issues and gender sensitive indicators

1. Proposed gender issues and gender sensitive indicators Neda Jafar ESCWA jafarn@un.org

3. Arab MDGs and Proposed Gender-Sensitive Indicators"G IS IN"

16. Criteria • The “G IS IN” framework will facilitate selection of indicators through discussion • Reflect qualities of statistics

17. Relevance - the degree to which the statistical product meets user needs in coverage, content and detail; • Accuracy/ Integrity - the degree to which the information correctly describes the phenomena it was designed to measure; • Timeliness - the degree to which data produced are up to date, published frequently and delivered according to schedule; • Accessibility - the ease with which users are able to access and understand the statistical data and its supporting information;

18. Coherence/consistency - the degree to which statistical information can be successfully brought together with other statistical information within a broad analytical framework and over time. • Interpretability - the availability of the supplementary information and metadata necessary to interpret and utilize it effectively. • Efficiency - minimization of costs and respondent burden; and • Based on international principles, standards and classifications.

19. Classify and organize indicators in 4 tiers to answer questions: • Do indicators measure their respective areas? • Is there any research linking the target areas and listed indicators? • Is there are any other indicators identified in the research to fit in the table below? • Which indicators are available/regularly collected? • How can these indicators be used?

20. TIER 1 • Statistics is based on an internationally recognized, high level set of principles, standards and classifications. • The data is easily and regularly collected. • (If an indicator reflects the above characteristics but the data is not collected in some countries, the indicator is still referred to as tier 1.)

21. TIER 2 • Data may be available by relevant sources, but indicators are not regularly produced by National Statistical Offices (NSO). • NSO equipped with appropriate tools and procedure can possibly start the process of regular tier 2 data collection and dissemination. • However, the national tier 2 statistical frames, definitions and classifications are not aligned with national and international frameworks

22. TIER 3 • Data is not available in official statistics, but mentioned in the research studies as highly useful. • The data is not widely used at international level. The indicators are highly desirables as proved very relevant. • However, it is difficult to set up a process to start regular data collection and dissemination.

23. TIER 4 • Includes qualitative targets and issues which are not possible or very difficult to quantify and put in the data framework. • However tier 4 data might be useful for research and additional qualitative aspects.

25. Way Forward • Send assessment questionnaire • Set a time-frame for response • Consolidate responses for classifying indicators • Disseminate information into booklet on Arab Gender and MDG • Programme on Development of Gender Statistics in the Arab Region

26. The End