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Update Job_Categories_byIndustry_2018.md #88

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17 changes: 9 additions & 8 deletions data_final/metadata/Job_Categories_byIndustry_2018.md
Original file line number Diff line number Diff line change
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**Meta Data Name**: Jobs by Industries
**Last Modified**: October 22, 2020
**Author**: Moksha Menghaney
**Meta Data Name**: Jobs by Industries
**Author**: Moksha Menghaney
**Last Modified**: October 18, 2023
**Last Modified By** Wataru Morioka

### Data Location:
EC01 at 4 spatial scales. Files can be found [here](/data_final).
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### Key Variable and Definitions:
| Variable | Variable ID in .csv | Description |
|:---------|:--------------------|:------------|
| Total Count of Workers | totWrkE | Estimated count of working population |
| % High Risk of Injury Jobs | hghRskP | Percentage of population employed in following industries: agriculture, rorestry, fishing and hunting, mining, quarrying, oil and gas extraction, construction, manufacturing, utilities |
| % Education Jobs | eduP | Percentage of population employed in educational services industry |
| % Health Care Jobs | hltCrP | Percentage of population employed in health care and social assistance industries |
| % Retail Jobs | retailP | Percentage of population employed in retail trade industry |
| Total Count of Workers | TotWrkE | Estimated count of working population |
| % High Risk of Injury Jobs | HghRskP | Percentage of population employed in following industries: agriculture, forestry, fishing and hunting, mining, quarrying, oil and gas extraction, construction, manufacturing, utilities |
| % Education Jobs | EduP | Percentage of population employed in educational services industry |
| % Health Care Jobs | HltCrP | Percentage of population employed in health care and social assistance industries |
| % Retail Jobs | RetailP | Percentage of population employed in retail trade industry |

### Data Limitations:
Please note this dataset uses industry as a classifier and does not include any information about the specific occupation in that industry. This could lead to an overestimation of High Risk to Injury workers category.
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