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NDCC Data Report

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SDG Indicator Tier Classification Data Source Reporting
Frequency		 Baseline Data Current Status (Year & Source) Minimum Disaggregation Dimensions and Categories Deadline for Data providing
Institution (Ministry / Division / Agency) Activity (Survey / Census / Administrative / MIS / AI / Big Data / IoT) Data Year Data Year
4.3.1.h Participation rate of youth and adults in non formal education and training in the previous 12 months (Technical Education), by sex Tier Bangladesh Bureau of Statistics (BBS) PHC Triennial - % - - % 31st, July
4.3.1.h Participation rate of youth and adults in non formal education and training in the previous 12 months (Technical Education), by sex Tier Bangladesh Bureau of Statistics (BBS) EHS Triennial - % - - % 31st, July
4.3.1.h Participation rate of youth and adults in non formal education and training in the previous 12 months (Technical Education), by sex Tier Bangladesh Bureau of Statistics (BBS) SVRS Triennial - % - - % 31st, July
4.5.1.a Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Primary) Tier Directorate of Primary Education ASPR Annual - % - - % GPI:GPI 31st, July
4.5.1.a Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Primary) Tier Bangladesh Bureau of Statistics (BBS) MICS Annual 1.06 % 2019 1.06 % 2019 GPI:GPI 31st, July
4.5.1.a Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Primary) Tier Bangladesh Bureau of Statistics (BBS) LAS Annual 0.95 % 2023 0.95 % 2023 GPI:GPI 31st, July
4.5.1.b Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Secondary) Tier Directorate of Primary Education ASPR Annual - % - - % Location:Rural,Urban;Disability:Disabled persons 31st, July
4.5.1.b Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Secondary) Tier Bangladesh Bureau of Statistics (BBS) MICS Annual 1.26 % 2019 1.26 % 2019 Location:Rural,Urban;Disability:Disabled persons 31st, July
4.5.1.b Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Secondary) Tier Bangladesh Bureau of Statistics (BBS) LAS Annual - % - - % Location:Rural,Urban;Disability:Disabled persons 31st, July
4.5.1.c Parity indices (female/male, rural/urban, bottom/top wealth quintile and others such as disability status, indigenous people and conflict - affected as data become available) for all indicators on this list that can be dis aggregated (Higher Secondary) Tier Directorate of Primary Education ASPR Annual - % - - % Location:Rural,Urban 31st, July
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