• Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.
  • Quality training on official statistics
    to advance evidence-based decision-making for inclusive, sustainable and resilient societies.

Upcoming Events

23 to 24 January 2018 | Chiba, Japan
Gender Mainstreaming Policies for Government Officers, Kitakyushu
23 February 2018 |Chiba, Japan
Project on Developing Statistical Quaility System at CAPMAS: Egypt
February 2018 |On-Line course
e-Learning Course on Integrated Economic Statistics to support 2008 SNA implementation
Rationalize data sources for economic statistics and understand the interlinkages between the various data collections and compilations
27 - 28 March 2018 |Chiba, Japan
Second Statistical Leadership Training of Heads of NSOs
The Statistical Leadership Training aims to Develop and enhance the leadership skills of new heads of NSOs toward effective leadership of statistical offices and the national statistical system ; to Improve confidence of heads of NSOs as statistical leaders in their national statistical system and Share learning of experiences and practices in leading and managing their statistical offices and in their leadership role in the national statistical system
21 May - 13 July 2018 |Chiba, Japan
Statistical Analysis of Disaggregated SDG Indicators for Inclusive Development Policies

News

10 - 13 December 2017 | Tehran, Islamic Republic of Iran
Regional Course on Statistical Business Registers: Making better use of administrative data
This regional course objective provided a platform for demonstrating best practices and exchanging experiences in dealing with challenges and issues in the maintenance, use and improvement of statistical business registers (SBRs).      More details....
6 - 7 December 2017 | Tokyo, Japan
Thirteenth Management Seminar for the Heads of National Statistical Offices in Asia and the Pacific: Empowering and Strengthening National Statistical Systems for Tracking Progress towards the SDGs
The purpose of the seminar was to identify specific actions required by the governments in the region and by international organizations to empower and strengthen National Statistical Systems for developing the capability to track progress toward SDGs by compilation and coordination of SDG global, regional and national indicators.    More details....
5 December 2017 | Chiba, Japan
Third Meeting of the Network for the Coordination of Statistical Training in Asia and the Pacific
The Network facilitates information sharing and promotes coordination among national statistical training institutions, regional and international statistical training providers, and donor agencies that provide funding for statistical trainings in the region. ..More details....
4 - 5 December 2017 | Chiba, Japan
Thirteenth session of SIAP Governing Council
The thirteenth session of the Governing Council of the Statistical Institute for Asia and the Pacific (SIAP) was held in Chiba, Japan, on 4 and 5 December 2017
27 November - 1 December 2017 | Chiba, Japan
Regional Training Course on Climate Change-Related Statistics
The primary objective of the workshop was to provide participants with the understanding of basic concepts and frameworks on statistics related to climate change and the ability to produce selected climate change-related indicators using their national data.

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