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ESCAP Statistics Division Resources

This GitHub organization hosts learning resources, tools, and knowledge products developed by the Statistics Division of the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP).

These materials are designed to support national statistical systems in adopting innovative data practices, strengthening capacity, and integrating geospatial and big data into official statistics and SDG monitoring.

🔗 Learn more about our work at ESCAP Statistics Division

Explore our repositories for step-by-step guides, code, and data supporting statistical modernization and sustainable development across the Asia-Pacific region.

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  1. geospatialSAEhowto geospatialSAEhowto Public

    A how-to guide for using geospatial data for small area estimation

    Jupyter Notebook

  2. geospatialSDGs geospatialSDGs Public

    Step-by-step guides on use of geospatial data for SDG indicators 9.1.1, 11.3.1 & DEGURBA

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  3. ESCAP_RAP_class ESCAP_RAP_class Public

    Content relating to an UN ESCAP training on Reproducible Analytic Pipelines

    Jupyter Notebook 1

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