|
--- |
|
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: |
|
|
|
1. **Australian Institute of Health and Welfare (AIHW)**: Health indicators and outcomes |
|
2. **Australian Bureau of Statistics (ABS)**: Geographic boundaries and demographic data |
|
3. **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 |
|
|
|
```python |
|
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 |
|
|