Human Rights Data.pdf

DataDisaggregation.pdf
Preview of human rights data
🔗 Source: ohchr.org
📊 Size: 219 KB
👤 Author: Emma Reilly
⬇️ Downloads: 67

Summary

Official statistics traditionally focus on national averages, which mask disparities and are inadequate for measuring progress, particularly for marginalized and vulnerable groups. To ensure no one is left behind, data collection for the Sustainable Development Goals (SDGs) should capture the situation of disadvantaged groups and inequalities among social groups. Relevant data should be disaggregated by grounds of discrimination, such as ethnicity, sex, age, income, and disability, and determined through an inclusive, participatory process. Disaggregation is not always the best way to detect inequalities, and other types of data collection, such as targeted surveys, may be more appropriate. Big data can be useful, but its usefulness in ongoing monitoring is unclear, and it may exclude marginalized groups. A data revolution is needed, involving experts, civil society organizations, national human rights institutions, and marginalized populations, to capture the situation of disadvantaged groups and ensure no one is left behind.

Description

Official statistics traditionally focus on national averages, which mask disparities and are inadequate for measuring progress, particularly for marginalized...

Technical Information

  • File Format: PDF
  • File Size: 219 KB
  • Pages: 2
  • Language: EN
  • Author: Emma Reilly
  • Total Downloads: 67
  • Last Updated: 1 month ago

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This PDF document about human rights data provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into human rights data.

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