Daily Archives: November 16, 2015

Establishments, Employment & Earnings Trends: 2015Q1

.. county & metro Establishment, Employment & Earnings (EEE) monthly-quarterly-annual time series by detailed type of business .. financial sector employment in Manhattan (New York County, NY) led the nation in average weekly wages at $8,932 during the first quarter 2015.  Use the interactive table to examine characteristics of establishments (number, employment, earnings) for counties and metros by type of business of interest. See the related Web section for more detail.  Follow that section for quarterly and interim data establishments by sector updates and use of tools to analyze patterns and trends.

The most current and comprehensive measures of business activity by county, metro and higher level geography are provided by the Establishments, Employment & Earnings (EEE) database. Use the interactive table to view, rank, query, compare data on establishments, employment and wages by county, metro and state for high level industries. Subscribers to the ProximityOne Data Service (PDS) database can use the more detailed (6-digit NAICS coverage) with data structured for time-series analysis supported with modeling and data analytics tools.

Where Does America Make Things?
The graphic below shows percent employment in the manufacturing sector (employment in the private manufacturing sector as a percent of total private sector employment January 2015 by county). Click graphic for larger view providing more detail. Use the GIS tools to analyze similar patterns for any industry. Interpreting this map graphic and alternative data resources … join us in a Data Analytics Lab session where we discuss making and interpreting this map view and alternatives.

– view developed with ProximityOne CV XE GIS and related GIS project.

The EEE quarterly data are based on employer reported data and provide EEE characteristics by detailed type of business collected and tabulated by the Bureau of Labor Statistics (BLS). Derived from reports submitted by every employer subject to unemployment insurance (UI) laws, the data cover 9.5 million employers and 136.2 million full- and part-time workers.

Important features of these data …
• Tabulated for all counties, metros, states and the U.S.
• Tabulated for detailed types of business (6-digit NAICS).
• Tabulated quarterly and annually, the data enable time-series modeling.
• Employer-based administratively collected data; not estimates.
• Short lag (5 months) between reporting date and date of data accessibility
– data for second quarter 2015 (2015Q2) are available mid-December 2015.
Limitations of these data.

Use these data to examine how a detailed type of business is changing in a county or metro … or how that type of business in one county/metro compares to another county or metro. Answer questions like how much of the healthcare sector in a particular metro is comprised by offices of physicians. Or, are the number of establishments in a business sector growing or declining? How are the characteristics of establishments in one metro changing relative to another metro?

Establishments, Employment, Earnings — Interactive Table
The following graphic illustrate use of the interactive table to examine characteristics of construction industry for California by county. The rows/counties are ranked on the rightnost column AWW15Q1 (average weekly wages, 1st quarter 2015) in descending order. It is easy to see that California was led by San Francisco county with $1,661 AWW reflecting activity of 1,564 establishments and January employment of 16,850. Click graphic for larger view.

These data update quarterly. The next update includes data for 2015Q2 and becomes available December 17, 2015 (set reminder).

About the Author
— Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.S. Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data. Contact Warren. Join Warren on LinkedIn.