license: cc-by-4.0
task_categories:
- other
language:
- en
tags:
- australia
- health
- geography
- sa2
- demographics
- climate
pretty_name: Australian Health and Geographic Data (AHGD)
size_categories:
- n<1K
Australian Health and Geographic Data (AHGD)
Dataset Description
The Australian Health and Geographic Data (AHGD) dataset provides comprehensive health, demographic, and environmental indicators at the Statistical Area Level 2 (SA2) geography across Australia. This dataset integrates multiple authoritative Australian data sources to enable health geography research, policy analysis, and machine learning applications.
Dataset Summary
- Geographic Coverage: Australian SA2 statistical areas
- Temporal Coverage: 2021 reference year
- Data Sources: Australian Institute of Health and Welfare (AIHW), Australian Bureau of Statistics (ABS), Bureau of Meteorology (BOM)
- Total Records: 12
- Format Availability: parquet, csv, json, geojson
Supported Tasks
- Health geography analysis
- Spatial epidemiology research
- Environmental health studies
- Social determinants of health research
- Machine learning for health prediction
- Policy impact assessment
Languages
English (Australian spelling and terminology)
Dataset Structure
Data Instances
Each record represents a Statistical Area Level 2 (SA2) with associated health, demographic, and environmental indicators.
Data Fields
Key data fields include:
- Geographic identifiers: SA2, SA3, SA4 codes and names
- Health indicators: Life expectancy, chronic disease prevalence, health service utilisation
- Environmental data: Temperature, rainfall, air quality measures
- Socioeconomic indicators: SEIFA indices, employment rates
- Demographic characteristics: Population, age structure, cultural diversity
Data Splits
This dataset does not have predefined train/validation/test splits as it represents cross-sectional geographic data.
Dataset Creation
Curation Rationale
This dataset was created to support health geography research and policy analysis in Australia by providing integrated, high-quality data at meaningful geographic scales.
Source Data
Initial Data Collection and Normalisation
Data is sourced from:
- Australian Institute of Health and Welfare (AIHW): Health indicators and outcomes
- Australian Bureau of Statistics (ABS): Geographic boundaries and demographic data
- Bureau of Meteorology (BOM): Climate and environmental data
Who are the source language producers?
Australian government agencies producing official statistics and health data.
Annotations
Annotation process
Data undergoes comprehensive validation including:
- Geographic boundary verification
- Statistical outlier detection
- Data quality scoring
- Cross-source consistency checking
Who are the annotators?
Automated validation systems with expert review by health geography researchers.
Personal and Sensitive Information
This dataset contains only aggregated, de-identified data at the SA2 level. No individual-level information is included.
Considerations for Using the Data
Social Impact of Dataset
This dataset can support:
- Evidence-based health policy development
- Resource allocation decisions
- Health inequity identification
- Environmental health research
Discussion of Biases
Users should be aware of:
- Potential underrepresentation in remote areas
- Temporal lag between data collection and availability
- Varying data quality across geographic regions
Other Known Limitations
- Data currency varies by indicator
- Some regional areas may have suppressed values due to privacy requirements
- Climate data interpolation may introduce spatial uncertainty
Additional Information
Dataset Curators
Australian Health and Geographic Data (AHGD) Project Team
Licensing Information
Creative Commons Attribution 4.0 International (CC BY 4.0)
Citation Information
@dataset{ahgd2024,
title={Australian Health and Geographic Data (AHGD)},
author={AHGD Project Team},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/ahgd/australian-health-geographic-data}
}
Contributions
Thanks to the Australian Institute of Health and Welfare, Australian Bureau of Statistics, and Bureau of Meteorology for providing the underlying data sources.
Dataset Deployment Information
- Deployed: 2025-06-24 13:16:49 UTC
- Version: 1.0.0
- Repository: massomo/ahgd
- Formats Available: Parquet, CSV, JSON, GeoJSON
- Size: ~27KB total
- Records: 3 SA2 areas (demonstration dataset)
Usage Analytics
This dataset includes built-in usage tracking to help improve data quality and understand usage patterns. No personal information is collected.
Quick Start
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("massomo/ahgd")
# Access different formats
parquet_data = dataset['train'].to_pandas()
Monitoring and Support
For issues, feedback, or feature requests:
- Create an issue on the repository
- Contact the maintainers through Hugging Face
- Check the usage documentation for common questions
Last updated: 2025-06-24