Mapping ANZSCO to the O*NET SOC Taxonomy

The Australian and New Zealand Standard Classification of Occupations (ANZSCO) and the Occupational Information Network (O*NET) Standard Occupational Classification (SOC) are the two most widely used occupational taxonomies in the AsiaPacific and North American regions. Both provide a systematic way of describing jobs, but they differ in structure, granularity and the context in which they are applied. A concordance between these systems enables data sharing, crossregional labour market analysis, migration assessment, and multinational workforce planning.

Why a Concordance Is Needed

• Policy comparison: Governments can compare skill shortages and training outcomes across borders.
• Research integration: Academic studies that rely on one classification can incorporate data from the other without recoding.
• Talent mobility: Employers and recruitment agencies can translate job adverts and CVs for candidates moving between Australia/NewZealand and the United States.
• Data harmonisation: International datasets (e.g., World Bank, OECD) often use O*NET codes; linking to ANZSCO makes Australian and NewZealand statistics interoperable.

Structural Overview

Both classifications are hierarchical but follow different logic.

ANZSCO

• Fourdigit codes.
• Toplevel Major Groups (e.g., 1111 Chief Executives, General Managers and Legislators).
• Intermediate SubMajor Groups and Minor Groups leading to specific Unit Groups (occupations).
• Focus on professional, managerial, trade, and service roles common in Australia and NewZealand.

O*NET SOC

• Sixdigit codes (e.g., 111011 Chief Executives).
• Fourdigit Major Groups (e.g., 110000 Management Occupations).
• Fivedigit Minor Groups then sixdigit Detailed Occupations.
• Rich attribute database (tasks, knowledge, abilities, work context, etc.).

Key Mapping Principles

1. Onetoone correspondence wherever possible. A single ANZSCO unit group should map to the most equivalent O*NET detailed occupation.
2. Manytoone or onetomany handling. When an ANZSCO unit group covers a broader set of duties, it may correspond to several O*NET codes, and viceversa.
3. Use of occupational descriptors. Titles, skill levels, and typical tasks are compared to decide the best match.
4. Preservation of hierarchy. Mapping retains the higherlevel grouping to allow aggregation.

Sample Concordance Table

The table below shows a selection of common occupations and their matched codes. Italicised rows indicate manytoone relationships.

ANZSCO Code Title	O*NET SOC Code Title	Mapping Type	Notes
1111Chief Executives, General Managers and Legislators	111011Chief Executives	OnetoOne	Broad managerial scope aligns closely.
1321Accountants	132011Accountants	OnetoOne	Both cover financial reporting and audit.
2121Architects	171011Architects, Except Landscape and Naval	OnetoOne	Design and planning tasks are identical.
2413Secondary School Teachers	252021Middle School Teachers	OnetoOne	Matches teaching level and subject breadth.
3211Construction Managers	119021Construction Managers	OnetoOne	Project supervision focus.
3411Plumbers	472152Plumbers	OnetoOne	Installation, maintenance, repair.
4232Retail Supervisors	411012First-Line Supervisors of Retail Sales Workers	OnetoOne	Leadership of sales staff.
5111Medical Laboratory Scientists	292011Medical and Clinical Laboratory Technicians	OnetoMany	ANZSCO unit includes both technicians and scientists; O*NET splits into separate codes.
6311General Clerks	439021Office Clerks, General	OnetoOne	Administrative support duties.
7513Cookery Assistants	352022Food Preparation Workers	OnetoOne	Preservice food handling.

Methodology for Building a Full Concordance

Creating a comprehensive mapping involves several steps:

1. Data extraction: Obtain the latest ANZSCO unitgroup list (e.g., 2021 version) and the O*NET 2024 detailed occupation list.
2. Preprocessing: Normalize titles (lowercase, remove punctuation) and create a keyword set from occupation descriptions.
3. Automated similarity scoring: Use naturallanguage processing (NLP) techniquescosine similarity on TFIDF vectors or embeddings (e.g., BERT)to generate candidate matches.
4. Manual validation: Subjectmatter experts review highconfidence matches and adjust ambiguous cases.
5. Hierarchical alignment: Propagate matches upwards so that major and minor groups retain logical consistency.
6. Documentation: Record mapping type (11, 1M, M1) and any assumptions in a separate lookup table.

Applications

• Migration skill assessment: Australian immigration officers can translate an applicants O*NETcoded US experience into ANZSCO categories to determine eligibility.
• Labour market forecasting: Economists combine Australian wage data (ANZSCO) with US occupational outlook figures (O*NET) to model global talent flows.
• Training pathways: Vocational institutions map local qualification frameworks onto O*NET skill descriptors, ensuring curricula meet international standards.
• AIdriven job matching: Platforms that ingest resumes from multiple countries normalize titles using the concordance, improving algorithmic relevance.

Limitations and Future Work

While the concordance provides a practical bridge, several challenges remain:

• Granularity gaps: Some ANZSCO unit groups encompass occupations that O*NET separates into several detailed codes, potentially diluting specificity.
• Temporal misalignment: Updates to either taxonomy are not simultaneous; periodic review is required.
• Cultural context: Certain roles (e.g., Aboriginal Health Worker) have no direct O*NET analogue, requiring custom mapping.

Future enhancements could incorporate machinelearning classifiers that automatically suggest updates when new occupations appear, and extend the mapping to include additional taxonomies such as the International Standard Classification of Occupations (ISCO08).

Getting Started

If you wish to integrate the concordance into your system, follow these quick steps:

1. Download the CSV file concordance.csv (contains ANZSCO, O*NET codes, mapping type, and notes).
2. Import the file into your database and create an index on both code columns.
3. Use a lookup function to translate codes during data ingestion or reporting.
4. Periodically check the ABS ANZSCO page and O*NET Online for revisions.

By adopting a robust ANZSCO O*NET SOC concordance, organisations can unlock crossborder labour intelligence and support a truly global workforce.