NY Open Data NY Open Data

created Feb 14, 2013

updated Mar 28, 2014

View Full Page
Description

Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.

Activity
Community Rating
Current value: 0.0 out of 5
Your Rating
Current value: out of 5
Raters
0
Visits
4885
Downloads
104
Comments
0
Contributors
0
Meta
Category
Economic Development
Permissions
Public
Tags
employment by industry, employment, nonfarm employment, payroll employment
Row Count
Licensing and Attribution
Data Provided By
New York State Department of Labor
Source Link
http://www.labor.ny.gov/stats/lscesmaj.shtm
Dataset Summary
Organization
Division of Research and Statistics
Time Period
1990 – present
Posting Frequency
Monthly
Data Frequency
Monthly
Dataset Owner
Bureau of Statistics, Current Employment Statistics Unit
Contact Information
rsask@labor.ny.gov
Coverage
Statewide, Metropolitan Statistical Area (MSA), county
Granularity
Some county level data
Units
Jobs
Notes
Notes
Nonfarm employment estimates--by place of work--provide the most up-to-date employment estimates available by industry. Estimates are based on the monthly Current Employment Statistics (CES) survey of over 18,000 businesses, which uses probability sampling methodology and is based on the NAICS classification system. Industry employment figures are available for New York State, metropolitan areas and counties outside of metropolitan areas. This data is produced by USDOL Bureau of Labor Statistics.
Disclaimers
Disclaimer
Nonfarm employment estimates for areas by industry reflect jobs by "place of work". It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area. Industries are classified according to their North American Industry Classification System (NAICS) code. Monthly job estimates for areas below the state level are not adjusted for seasonal changes in employment. It is important to keep in mind that month-to-month changes may be due to regular seasonal patterns in an industry. Typically, during the winter holiday shopping season retail jobs increase, and during the summer there are more workers in the construction industry. On the other hand, changes may reflect new businesses, expansions, closings, etc. Comparison of monthly changes for the same period in prior years will provide a better understanding of whether the change is seasonal or atypical. Data adjusted for seasonal changes are only available for industry divisions at the state level. Monthly fluctuations in the wage and salary employment data are an essential part of the changes that occur in a dynamic economy of the county or region. It is important to study the data over time to evaluate the strength of the local economy. Wage and salary employment data identify which industries have the largest number of jobs. An industry with a large number of workers may not necessarily be expanding; it may even be downsizing. New and expanding industries may not have large numbers of existing jobs but are a good source for new job opportunities. Annual average data over time tend to be a better indicator of employment trends for the various industries in an area.
Dataset Information
Agency
Labor, Department of
First row
This view cannot be displayed