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Percentage of Primary 1 (P1) Cohort that Progressed to Post-secondary Education, Annual

Description

Ministry of Education indicator of the percentage of each Primary 1 cohort progressing to post-secondary education, published annually by SingStat from 2014 through 2023 for Singapore citizens and permanent residents. Footnotes define cohort timing, institution types included, and preliminary years. Adapted from TS/M920201.

Official description

Source: MINISTRY OF EDUCATION Data Last Updated: 06/12/2024 Update Frequency: Annual Footnotes: 1) For a given year, the statistics are calculated based on the P1 cohort that would typically progress to post-secondary education programmes in that year (i.e. the cohort that entered P1 10 years ago). For example, for 2023, the percentage of P1 cohort that progressed to post-secondary education is calculated based on the cohort that entered P1 in 2013. 2) The figures include Singapore Citizens (SC) and Permanent Residents (PR) only, and exclude International Students (IS). 3) Figures include participation in Junior Colleges, Millennia Institute, Polytechnics, Institute of Technical Education, LASALLE College of the Arts, Nanyang Academy of Fine Arts and other private education institutions, and take into account students who have left the country. From 2015 onwards, the figures also include participation in Privately-Funded Schools and Foreign System Schools. 4) Figures for 2019 to 2023 are preliminary estimates as these cohorts have not been fully tracked. Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M920201

Last updated
Coverage
2014-01-01 – 2023-12-31
Rows
3
Columns
11

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
Overall 97.200000 97.100000 96.900000 96.800000 96.700000 96.400000 96.700000 96.700000 96.400000 96.300000
Male 97.000000 96.900000 96.600000 96.700000 96.500000 96.300000 96.400000 96.700000 96.200000 96.300000
Female 97.400000 97.200000 97.200000 97.000000 96.900000 96.600000 97.000000 96.800000 96.700000 96.500000

Columns

Column Type Categorical
Data Series Text No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No