Nondepository Credit Institutions: Metro Industry Market Evaluator by BizMiner

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									                                  Non-depository Credit Institutions
                                  [6100] Finance                                  Firms Analyzed: 77,944

The Industry Market Evaluator series creates an overview of industry opportunity and vitality trends across a set of comparable market; either
52 US states and territories (State version) or the largest 228 US metropolitan statistical market areas by business count (metro version). Each
Metro Market Industry Comps compares business activity in a single industry segment in the US and the largest 228 metro areas, using US
government metro definitions. The series can be used to compare local and national industry performance and identify high opportunity
locations, high vitality regions for marketing -- or the toughest competitive areas.

Contents
P1: Introduction and Contents
P2: Industry population and segmentation
P7: Population and segmentation percentages
P12: Failure Rates- Establishments & Firms
P17: Failure Rates- Small Business
P21: Total industry sales volume (reported and locally generated)- 3 years
P26: Small Business sales volume & Percentage of Total Industry Sales- 3 years
P31: Average Industry Firm Sales- 3 years
P36: Average Small Business Sales- 3 years
P40: Startup activity, new branch development
P45: About the Data




                              Time series table
                              Yr1: Segments/ Total & Avg.Sales                                                2007
                              Yr2: Segments/ Total & Avg.Sales                                                2008
                              Yr3: Segments/ Total & Avg.Sales                                                2009
                              QII-10:                                                     12 months ending 6.30.10
                              Failure Rates:                                                            2007-2009
                              Startup Activity/ New Branch Rates:                                        7.09-6.10


The Time Series: Content is adjusted to account for time lags in raw data. We adjust the time series to compensate; the dates show n generally
reflect the actual time series show n in the Time Series table. In some tables, “Yr3” denotes the “snapshot” at the end of the time series. “Yr1” is
the snapshot at the start of the time series.
Industry Population and Segmentation

The Industry Population and Segmentation table (next page) displays the number of firms in the industry for five groups:

Establishments: Firms plus Branch operations.
Firms: Independent companies.
Small Businesses: In order to focus the analysis on the small businesses of greatest interest to our users, the analysis defines small
businesses as single site firms w ith few er than 25 employees. All small businesses are also “firms”.
Startups: In order to reduce distortion and focus the analysis on the startup population of greatest interest to our users, the startup sales and
employment analysis limits the definition of startups to single site firms w ith few er than 50 employees, w ith less than $10m annual sales and
reporting one year or less of operation. All Startups are also “firms”; the overw helming majority are also “small businesses”.

Branches: Subsidiary facilities of firms; non-headquarters operations.
                                       Industry Population and Segmentation
                                                                      QII-10
               Area                      Estabs      Firms      Small Business     Branches         Startups
A kron, O H                                    143         97                 88               46               4
A lbany-Schenectady-Troy, NY                   152        120                108               32               3
A lbuquerque, NM                               350        282                271               68              10
A llentown-Bethlehem-Easton, PA                176        142                133               34               4
A marillo, TX                                   68         50                 39               18               1
A nchorage, A K                                 50         37                 32               13               2
A nn A rbor, MI                                142        114                103               28               2
A ppleton-O shkosh-Neenah, WI                   94         55                 53               39               3
A sheville, NC                                  77         56                 55               21               2
A thens, GA                                     43         23                 20               20               0
A tlanta, GA                                 2,298      1,934              1,805              364              79
A tlantic-Cape May, NJ                          91         73                 70               18               4
A ugusta-A iken, GA -SC                        149         86                 83               63               2
A ustin-San Marcos, TX                         607        515                485               92              27
Bakersfield, CA                                159        120                116               39               3
Baltimore, MD                                  927        773                689              154              40
Bangor, ME                                      29         25                 24                4               2
Barnstable-Yarmouth, MA                         80         67                 61               13               2
Baton Rouge, LA                                344        286                262               58               3
Beaumont-Port A rthur, TX                       86         55                 54               31               4
Bellingham, WA                                  50         39                 36               11               4
Benton Harbor, MI                               34         24                 23               10               0
Bergen-Passaic, NJ                             463        404                356               59               9
Billings, MT                                    45         36                 35                9               2
Biloxi-Gulfport-Pascagoula, MS                 109         78               
								
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