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County & Metro Business Patterns - 2016
  -- analyze business establishments by county & metro by type of business

April 2018. .. county and metro business establishment data help businesses understand how sales of their products and services align with markets .. what counties might be underserved? .. where should marketing and sales operations be ramped up or reduced in scope/reallocated? .. what do these tell us us about organization of market territories? how are these characteristics trending by county? Use the interactive table below to examine business establishments characteristics by county and metro by type of business.

  • U.S. establishments rose 1.2% from 7,663,938 in 2015 to 7,759,807 in 2016.
  • First quarter employment was up 2.1% from 124,085,947 to 126,752,238
  • Annual payroll was up 2.9% from $6.3 trillion in 2015 to $6.4 trillion in 2016.

Based on the 2016 data (new April 2018), there are 7.3 million establishments in Metropolitan Statistical Areas (MSAs). In these MSAs ..
  • 5.3 million establishments have fewer than 10 employees.
  • 6,522 of these establishments have 1,000 or more employees.
  • 374 of these establishments have 5,000 or more employees.

MSAs by Number of Establishments with 1,000 or more Employees
The following graphic shows Metropolitan Statistical Areas (MSAs) by number of establishments with 1,000 or more employees. Click graphic for larger view view showing metros labeled with number of these establishments. Expand brower to full window for best quality view.
.. View developed with CV XE GIS software and related GIS project.

Business Establishment Characteristics Updated in Metro Reports
Examine 2014, 2015, 2016 mini trend profiles for establishments by 2-digit sector in Metro Situation & Outlook Reports Choose any MSA by clicking column 3 in this table .. then view section 6.3.
Selections: New York .. Los Angeles .. Miami .. Chicago .. Dallas .. Houston .. Denver .. Seattle

Gaining Insights
Gain insights into these types of patterns by county by detailed type of business (NAICS). Use the interactive table below to examine business establishment characteristics for counties and metros of interest. Data reviewed in this section are based on the Census-sourced County Business Patterns released in April 2018. We have integrated current population estimates with the establishment data in the interactive table.

  • Examine CBP data at 6-digit industry detail with ready-to-use GIS project/tools
    .. illustrative graphic shown below; see related section for details.
  • Use the APIGateway tools to build custom CBP datasets.

Patterns of Supermarket Establishments by County
The following graphic shows patterns of the number of supermarket establishments by county for the Houston metro (bold boundary) region. Counties are labeled with the number of supermarkets and county name. Number of supermarkets shown by intervals/colors as depicted in legend panel at left of map window. Create custom maps similar to this view for your regions of interest depicting establishments, employment or payroll for your type of business selection(s). Click graphic for larger view with more detail; expand browser window for best quality view.

.. View developed with CV XE GIS software using the US1_CBP16 GIS project.

County Business Establishment Characteristics 2016 Interactive Table .. goto top
  Click ShowAll button between Find/Queries.
  Click column header cell to sort table on that column; click again to sort other direction.
  Use mouseover on column header to view column description.
  See usage notes below table. See demographic-economic interactive tables.

Group 1 columns: county name, codes, employment. payroll. establishments columns
Group 2 columns: county name, codes, establishments by employment size class columns
Locate CBSA/Metro 5 digit code: (3rd column)
Locate StCty FIPS 5 digit code: (3rd column)

Usage Notes
  • Click ShowAll between queries/filters.
  • Click a column header to sort on that column; click again to sort other direction.
  • State button
    .. select a state to have the table refresh with rows for only that state.
  • Find-in-Name button
    .. enter a partial case-sensitive county name in the edit box to right of Find-in-Name button.
    .. click to Find-in-Name button to show only rows with that text in the county name (column 1).
  • Find-in-CBSA button
    .. enter an exact 5-character CBSA code in the edit box to right of Find-in-CBSA button.
    .. click to Find-in-CBSA button to show only rows with that text in the CBSA code (column 4).
    .. the default code 12060 is the Atlanta CBSA code.
  • Population 2017 Min & Max> button
    .. click to show only peer group counties based on values
    .. the ShowAll button must be clicked before using this feature.
    .. in min and max edit boxes ...
    ... enter the minimum 2017 population in the left edit box.
    ... enter the maximum 2017 population in the right edit box.
    .. click Population 2017 Min & Max button to view peer group.
  • Click ShowAll between queries/filters.

Items/Columns in Table scroll section .. goto top
  - County Name
  - State USPS
  - StCty FIPS code
  - CBSA code/metro
Population item from Census official estimates; provided for reference.
  - Population 2016
  - Population 2017
Remaining items from County Business Patterns 2016
  - NAICS -- Industry Code - 6-digit NAICS code.
  - EMPFLAG -- Data Suppression Flag
      This denotes employment size class for data withheld to avoid disclosure (confidentiality)
      or withheld because data do not meet publication standards.
      .. A 0-19
      .. B 20-99
      .. C 100-249
      .. E 250-499
      .. F 500-999
      .. G 1,000-2,499
      .. H 2,500-4,999
      .. I 5,000-9,999
      .. J 10,000-24,999
      .. K 25,000-49,999
      .. L 50,000-99,999
      .. M 100,000 or More
      .. r Revised data.
      .. S Withheld because estimate did not meet publication standards. Employment or payroll field set to zero.
  - EMP_NF -- Total Mid-March Employees Noise Flag (See Noise Flag definitions below)
  - EMP -- Total Mid-March Employees with Noise
  - QP1_NF -- Total First Quarter Payroll Noise Flag
  - QP1 -- Total First Quarter Payroll ($1,000) with Noise
  - AP_NF -- Total Annual Payroll Noise Flag
  - AP -- Total Annual Payroll ($1,000) with Noise
  - EST -- Total Number of Establishments
Number of Establishments by Employment Size Class:
  - N1_4 -- 1-4 Employees
  - N5_9 -- 5-9 Employees
  - N10_19 -- 10-19 Employees
  - N20_49 -- 20-49 Employees
  - N50_99 -- 50-99 Employees
  - N100_249 -- 100-249 Employees
  - N250_499 -- 250-499 Employees
  - N500_999 -- 500-999 Employees
  - N1000 -- 1,000 or More Employees
  - N1000_1 -- 1,000-1,499 Employees
  - N1000_2 -- 1,500-2,499 Employees
  - N1000_3 -- 2,500-4,999 Employees
  - N1000_4 -- 5,000 or More Employees

Noise Flag definitions (fields ending in _NF) are:
G -- 0 to < 2% noise (low noise)
H -- 2 to < 5% noise (medium noise)
J -- >= 5% noise (high noise)
D -- Withheld to avoid disclosing data for individual companies; data are included in higher level totals.
  Employment or payroll field set to zero.

Terms of Use
These data are authorized for personal, non-business, use and may not be redistributed nor used to provide professional services. There is no warranty of any type associated with any aspect of these data. The user is solely responsible to any use, direct or indirect, that might be made of the data.

Business Patterns Data: Alternative Geography, Time Periods, Subject Matter
  • ProximityOne Business Establishments Estimates & Projections to 2020
  • Quarterly Establishments, Employment & Earnings
  • ZIP Code Business Patterns
  • ZIP Code Retail Trade Establishments & Sales - 2012 Economic Census

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ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our software, data and methodologies to analyze their own data integrated with other data. Follow ProximityOne on Twitter at Contact ProximityOne (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

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