BizMiner delivers detailed industry analysis for more than 228 US metro market areas. The Metro Industry Market Evaluator analyzes three years of industry operations at an unusual level of granularity, with a fourth analyzed period covering the 12 months through QII-2010 for most measures. Data is detailed on a metro-by-metro basis for 228 US metropolitan areas with US totals. Analysis is based on data applied from all firms in our database (total 13 million) which identify themselves in this primary line of business. Industry market vitality measures for each metro area are benchmarked against US averages for the industry, creating easy comparison of metro-by-metro performance. Industry sales are detailed for both company-wide headquarters data and locally generated sales levels. The report also compares proprietary BizMiner measures in each state and the US, including failure rates, entrepreneurial activity and new branch development rates in the industry. Detailed tables and explanatory text included.
Non-depository Credit Institutions  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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