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Rural NSW Student Absenteeism Data
Education & Learning Analytics
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About
This dataset provides insights into school absenteeism amongst students in rural New South Wales, Australia [1]. It was compiled as part of a study to understand how various demographic factors influence the number of days students are absent from school [1]. The dataset is valuable for identifying patterns and correlations between student demographics and attendance records.
Columns
- ethnicity: Indicates whether a student is Aboriginal (A) or non-Aboriginal (N). Data shows 53% non-Aboriginal and 47% Aboriginal students [2].
- sex: Represents the gender of the student, categorised as Female (F) or Male (M). Females constitute 55% and males 45% of the dataset [2].
- age: Defines the age bracket of the student, with categories like F1 (32%), F2 (27%), and Other (60%) (41%) [2].
- learner_status: Identifies students as Average Learner (AL) or Slow Learner (SL). 57% are average learners, and 43% are slow learners [3].
- days_absent: Records the number of days a student was absent. The mean absence is 16.5 days, with a range from 0 to 81 days [3].
Distribution
The dataset is provided as a CSV (Comma Separated Values) file, named
absenteeism.csv [2]. It is relatively small, with a size of 2.03 kB [2]. The dataset consists of 5 columns and contains 146 valid records across all columns, with no missing or mismatched data points [2, 3].Usage
This dataset is ideal for:
- Academic research into educational equity and student welfare in rural areas.
- Policy development aimed at reducing student absenteeism in specific demographic groups.
- Educational intervention strategy design by identifying student groups most affected by absenteeism.
- Data analysis to uncover trends and correlations between demographic factors and school attendance.
Coverage
The dataset focuses on students in rural New South Wales, Australia [1]. It includes demographic information such as ethnicity (Aboriginal and non-Aboriginal), gender, age brackets, and learner status [1, 2]. A specific time range for data collection is not detailed in the sources.
License
CC BY-NC-SA 4.0
Who Can Use It
- Researchers and academics: For studies on educational sociology, public health, and rural development.
- Government agencies: Particularly departments of education and social services for policy making and programme evaluation.
- School administrators and educators: To understand student attendance patterns and inform local interventions.
- Data scientists and analysts: For predictive modelling of absenteeism and demographic impact studies.
Dataset Name Suggestions
- Rural NSW Student Absenteeism Data
- New South Wales School Attendance Factors
- Australian Rural Student Absence Demographics
- NSW Student Absenteeism Records by Demographics
Attributes
Original Data Source: Rural NSW Student Absenteeism Data
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