Skip to main content

Home > Releases > Business Formation Statistics > High-Propensity Business Applications: Total for All NAICS in New Jersey

High-Propensity Business Applications: Total for All NAICS in New Jersey (BAHBATOTALSANJ)

Observations

Feb 2025: 3,831
Updated: Mar 12, 2025 11:06 AM CDT
Feb 2025:  3,831  
Jan 2025:  3,574  
Dec 2024:  4,028  
Nov 2024:  4,186  
Oct 2024:  3,845  

Units:

Number,
Seasonally Adjusted

Frequency:

Monthly
1Y5Y10YMax
to
Date:
Bar 1 - High-Propensity Business Applications: Total for All NAICS in New Jersey Vintage: 2025-02-12
Bar 1
(a) High-Propensity Business Applications: Total for All NAICS in New Jersey, Number, Seasonally Adjusted (BAHBATOTALSANJ)
Business Applications (BA) that have a high-propensity of turning into businesses with payroll. The identification of high-propensity applications is based on the characteristics of applications revealed on the IRS Form SS-4 that are associated with a high rate of business formation. High-propensity applications include applications: (a) from a corporate entity, (b) that indicate they are hiring employees, purchasing a business or changing organizational type, (c) that provide a first wages-paid date (planned wages); or (d) that have a NAICS industry code in manufacturing (31-33), retail stores (44), health care (62), or restaurants/food service (72). See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details.

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

Type keywords to search for data

    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - High-Propensity Business Applications: Total for All NAICS in New Jersey Vintage: 2025-02-12
    Bar 2
    (a) High-Propensity Business Applications: Total for All NAICS in New Jersey, Number, Seasonally Adjusted (BAHBATOTALSANJ)
    Business Applications (BA) that have a high-propensity of turning into businesses with payroll. The identification of high-propensity applications is based on the characteristics of applications revealed on the IRS Form SS-4 that are associated with a high rate of business formation. High-propensity applications include applications: (a) from a corporate entity, (b) that indicate they are hiring employees, purchasing a business or changing organizational type, (c) that provide a first wages-paid date (planned wages); or (d) that have a NAICS industry code in manufacturing (31-33), retail stores (44), health care (62), or restaurants/food service (72). See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

      ADDLINE
      Type keywords to search for data
      Create user-defined line
      You can customize a graph by adding a straight line between two data points.
      FORMAT GRAPH
      Details
      Display
      Customize
      Frame
      Plot area
      Text

      Bar 1
      High-Propensity Business Applications: Total for All NAICS in New Jersey Vintage: 2025-02-12
      Line details & color

      Line style, thickness, color and position


      Bar 2
      High-Propensity Business Applications: Total for All NAICS in New Jersey Vintage: 2025-03-12
      Line details & color

      Line style, thickness, color and position



      Fullscreen

      Notes

      Title Release Dates
      High-Propensity Business Applications: Total for All NAICS in New Jersey 2021-02-10 2025-03-12
       
      Source    
      U.S. Census Bureau 2021-02-10 2025-03-12
       
      Release    
      Business Formation Statistics 2021-02-10 2025-03-12
       
      Units    
      Number 2021-02-10 2025-03-12
       
      Frequency    
      Monthly 2021-02-10 2025-03-12
       
      Seasonal Adjustment    
      Seasonally Adjusted 2021-02-10 2025-03-12
       
      Notes    
      Business Applications (BA) that have a high-propensity of turning into businesses with payroll. The identification of high-propensity applications is based on the characteristics of applications revealed on the IRS Form SS-4 that are associated with a high rate of business formation. High-propensity applications include applications: (a) from a corporate entity, (b) that indicate they are hiring employees, purchasing a business or changing organizational type, (c) that provide a first wages-paid date (planned wages); or (d) that have a NAICS industry code in manufacturing (31-33), retail stores (44), health care (62), or restaurants/food service (72).

      See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details.

      		2021-02-10 2025-03-12

      Release Tables

      Related Data and Content

      Data Suggestions Based On Your Search

      Content Suggestions

      Other Formats

      Monthly, Not Seasonally Adjusted

      Related Categories

      New Jersey States U.S. Regional Data Production & Business Activity

      Releases

      More Series from Business Formation Statistics

      Tags

      High-Propensity Business Applications New Jersey Business State Seasonally Adjusted Census Monthly Public Domain: Citation Requested United States of America

      Color format