The lowest-scoring cities in CopeCheck's historical, heuristic sector-exposure comparison across 6 countries.
These are the 10 cities with the lowest scores under CopeCheck's sector-exposure heuristic. The model gives lower weights to sectors such as healthcare, education, and public administration. A low score is not a safety forecast and does not establish how many jobs will change or when.
With a heuristic exposure score of 37.6/100, Canberra ranks toward the lower end of this comparison. 46.9% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 18.8% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 47.3/100, Darwin ranks toward the lower end of this comparison. 39.5% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 25.2% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 48.0/100, Cambridge ranks toward the lower end of this comparison. 35.0% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 24.8% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 48.2/100, Ottawa ranks toward the lower end of this comparison. 36.2% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 23.8% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 48.8/100, Oxford ranks toward the lower end of this comparison. 37.0% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 26.4% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 49.1/100, Wellington ranks toward the lower end of this comparison. 35.9% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 25.2% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 50.0/100, Victoria ranks toward the lower end of this comparison. 35.5% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 25.9% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 51.5/100, Hobart ranks toward the lower end of this comparison. 36.9% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 28.5% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 53.4/100, Dunedin ranks toward the lower end of this comparison. 35.5% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 30.2% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
With a heuristic exposure score of 53.7/100, Townsville ranks toward the lower end of this comparison. 36.1% of the bundled employment snapshot sits in health, education, and public administration, which receive lower weights in this model. 29.8% sits in sectors assigned higher exposure weights. This is a structural screening result, not a forecast of how many jobs will disappear or when.
Rankings use bundled historical workforce-composition snapshots and CopeCheck's hand-set sector-exposure weights. Frey & Osborne estimated occupation-level susceptibility, not probabilities for whole sectors; this index is therefore a comparative heuristic, not a direct replication, current official statistic, or forecast of job losses. The bundled records do not include record-level dates or source ledgers.