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Global Tech Workforce Reduction Data
Synthetic Data Generation
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About
Tracking the volatility within the technology sector, this file captures workforce reduction events across approximately 200 tech startup companies. It provides a snapshot of economic shifts during mid-2022, detailing the scale of personnel released, the funding stages of the affected companies, and the specific industries most impacted, such as healthcare and finance. The data serves as a resource for analysing the correlation between capital raised and employment stability in the startup ecosystem.
Columns
- company: The name of the tech startup involved (e.g., RenoRun).
- location: The geographic location of the jobs or company headquarters (e.g., SF Bay area, New York City).
- laid off: The count of employees released during the event.
- date: The specific date when the layoffs occurred.
- percentage: The proportion of the total workforce that was released.
- industry: The sector in which the company operates (e.g., Healthcare, Finance).
- stage: The funding stage or business position of the company (e.g., IPO, Series C).
- Raised $: The amount of capital the company had raised prior to the event.
- country: The nation where the company is based.
Distribution
The dataset is provided in a CSV format and contains 200 records. It includes a mix of numerical values (for employee counts and funds raised) and categorical text (for locations and industries). The file size is approximately 12.02 kB. The data structure is clean, with 100% validity across most columns, though some specific fields such as 'percentage' and 'laid off' counts have partial missing values.
Usage
- Exploratory Data Analysis (EDA): Identifying trends in startup instability and workforce reductions.
- Economic Research: correlating funding stages (IPO vs. Series C) with job security.
- Geographic Analysis: Mapping the impact of the 2022 economic downturn on major tech hubs like the SF Bay Area and international markets.
- Recruitment Strategy: Identifying talent pools becoming available in specific sectors like Finance and Healthcare.
Coverage
The data covers a specific window of activity from 13 July 2022 to 19 August 2022. Geographically, the primary focus is on the United States (accounting for 68% of the entries) and Canada (8%), with the remainder spread across other nations. The industry coverage is diverse, with significant data points in Healthcare (14%) and Finance (10%).
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For assessing the health of the tech startup market.
- Recruiters: To locate available talent in specific locations and industries.
- Journalists: For reporting on employment trends and economic shifts in the tech sector.
- Data Scientists: For practicing data cleaning and visualisation techniques on real-world economic data.
Dataset Name Suggestions
- 2022 Tech Startup Layoff Tracker
- Global Tech Workforce Reduction Data
- Startup Economic Impact & Layoffs 2022
- Mid-2022 Tech Sector Employment Shifts
Attributes
Original Data Source: Global Tech Workforce Reduction Data
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