Synthetic Longitudinal Business Database (SynLBD)
SynLBD Beta Data
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Synthetic longitudinal business microdata product that protects the confidentiality of establishments' information
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Accessible through the VirtualRDC at Cornell University
Overview
- Experimental synthetic data product
- 21 million establishment records covering all sectors for the years 1976 – 2000
- Contains the establishment's synthetic 3–digit SIC code, first year, last year, annual payroll, annual employment, and multi–unit status
- Contains no geographic or firm-level information
- Unless validated, there is no guarantee results from the SynLBD reflect results from the underlying confidential data
- Significant improvements over an earlier limited version
Learn More
What is Synthetic Data?
Data that replicates the structure and statistical properties of the original confidential dataset, without using original content.
What is the BDS?
The Business Dynamics Statistics (BDS) is a public–use data set of annual aggregate statistics describing establishment openings and closings, firm startups, job creation and destruction by firm size, age, industrial sector, and state.
What is the
VirtualRDC?
The Virtual RDC provides access to public–use data products and a computing environment that mirrors the Census Bureau RDCs.
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