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Alumni | SIAP The United Nations Statistical Institute for Asia and the Pacific (SIAP) is a professional training center for government officials/statisticians from developing countries.
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Alumni | SIAP Skip to main content Welcome to the United Nations ESCAP Web Site Contact Us Menu Global navi Top News & Events Events News Letter News e-Library SIAP e-Learning courses SIAP face to face courses Principles & Practices of Official Statistics for SDG Strategic and management issues Population and social statistics Economic statistics Agricultural and Rural Statistics Environment and Disaster statistics Methodology and statistical process Training of Trainers Seminars and Meetings SIAP LMS Training Our Programmes Principles & Practices of Official Statistics for SDG Strategic and management issues Population and social statistics Economic statistics Agricultural and Rural Statistics Environment and Disaster statistics Methodology and statistical process Training of Trainers Seminars and Meetings Training Network Programme of Work Training of Trainers Alumni Alumni Recognizing Achievements About SIAP Who We Are Where We Are SIAP Statute Contact Us Governing Council Strategic Plan 50th Year Anniversary of SIAP close Contact Us SIAP Home ESCAP Web Site Breadcrumb Home Alumni Alumni Statistics on Participants (pdf) More than 41,944 participants from 204 countries/territories have been trained at SIAP since its establishment in 1970. as of December 31, 2025 Number of Participants by Region Since 1970 41,944 Asia and Pacific Region 38,852 East and North-East Asia 10,888 South-East Asia 15,155 South and South-West Asia 7,466 North and Central Asia 1,975 Pacific 3,368 Outside Asia and Pacific Region 2,769 Others organizations 323 Facebook ESCAP Home ESCAP Statistics Division United Nations Statistics Division APCICT APCTT APDIM CSAM © United Nations SIAP Outline Global navi Breadcrumb Alumni Presented by Qortora, a product of Qortora, LLC. Content remains the property of the original publisher. This reference page supports transparent discovery within the Qortora index.