JSON   RDF   ISO19115/ISO19139 XML

Enrolments (FTE) in NSW government schools by FOEI quarters and SA4 groupings (2014-2017)

Data Notes:

  • Enrolments are from system extracts in April and are not mid-year census enrolments which are extracted in August.

  • The Family Occupation and Education Index (FOEI) is a school level index of educational disadvantage related to socioeconomic background. It has been selected as the basis of the equity loading for socio-economic background in the department's new Resource Allocation Model. FOEI is constructed from parental education and occupation information collected from student enrolment forms and recorded in the Enrolment Registration Number system. FOEI uses a statistical regression model to produce a weighted combination of school-level parental education and occupation variables based on the extent to which each variable uniquely predicts average school performance.

  • Previous publications of the Statistical Bulletin compared enrolments in DoE regions. From 2014 these geographies have been discontinued and replaced with a geographical structure based on the new ABS Australian Statistical Geography Standard (ASGS). Groups of ASGS Statistical Area 4 (SA4) boundaries in NSW have been combined into 11 groups for reporting and publication of department data.

Data Source:

Data and resources

Additional Info

Field Value
Title Enrolments (FTE) in NSW government schools by FOEI quarters and SA4 groupings (2014-2017)
Type Dataset
Language eng
Licence Creative Commons Attribution
Data Status active
Update Frequency annual
Landing Page https://data.cese.nsw.gov.au/data/dataset/fc350658-9ac3-3d70-8d5d-2ce6413788ed
Date Published 2015-10-01
Date Updated 2021-02-25
Contact Point
NSW Department of Education
Data Services <data.services@det.nsw.edu.au>
Temporal Coverage 2014-01-01 - 2017-12-31
Geospatial Coverage NSW81093: New South Wales
Theme Education and Training
Jurisdiction New South Wales
Data Portal NSW Education Data Hub
Publisher/Agency NSW Department of Education
Data Level Region-level