Federal Reserve Economic Data

Table Data - High-Propensity Business Applications for Connecticut (DISCONTINUED)

Title High-Propensity Business Applications for Connecticut (DISCONTINUED)
Series ID HPBUSAPPNSACT
Source U.S. Census Bureau
Release Business Formation Statistics
Seasonal Adjustment Not Seasonally Adjusted
Frequency Quarterly
Units Number
Date Range 2004-07-01 to 2020-10-01
Last Updated 2021-01-14 11:03 AM CST
Notes The Business Formation Statistics are now released on a monthly basis, and the quarterly series will no longer be updated. See BAHBATOTALNSACT for an alternative.

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) for 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).
DATE VALUE
2004-07-01 2764
2004-10-01 2650
2005-01-01 3287
2005-04-01 3231
2005-07-01 2909
2005-10-01 2920
2006-01-01 3506
2006-04-01 3508
2006-07-01 2958
2006-10-01 2990
2007-01-01 3418
2007-04-01 3439
2007-07-01 2917
2007-10-01 2701
2008-01-01 2885
2008-04-01 2700
2008-07-01 2434
2008-10-01 2431
2009-01-01 2559
2009-04-01 2447
2009-07-01 2158
2009-10-01 2156
2010-01-01 2614
2010-04-01 2518
2010-07-01 2215
2010-10-01 2321
2011-01-01 2645
2011-04-01 2489
2011-07-01 2191
2011-10-01 2257
2012-01-01 2659
2012-04-01 2596
2012-07-01 2217
2012-10-01 2237
2013-01-01 2565
2013-04-01 2523
2013-07-01 2093
2013-10-01 2172
2014-01-01 2599
2014-04-01 2462
2014-07-01 2186
2014-10-01 2204
2015-01-01 2686
2015-04-01 2526
2015-07-01 2194
2015-10-01 1960
2016-01-01 2605
2016-04-01 2311
2016-07-01 2313
2016-10-01 2116
2017-01-01 2691
2017-04-01 2436
2017-07-01 2250
2017-10-01 2118
2018-01-01 2928
2018-04-01 2612
2018-07-01 2265
2018-10-01 2235
2019-01-01 2868
2019-04-01 2716
2019-07-01 2271
2019-10-01 2341
2020-01-01 2602
2020-04-01 2257
2020-07-01 3450
2020-10-01 2453

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