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MetroDynamics |
Monthly Metropolitan Employment Trends February 2007 employment showed gains in 296 of the 408 metropolitan areas covered in the Monthly Metropolitan Employment Trends (MMET) analysis compared to February 2006. Ten metropolitan areas declined in employment from the same month a year earlier. The five metros with the largest percent gain over the February to February year period are Gulfport-Biloxi, MS, Houma-Bayou Cane-Thibodaux, LA, New Orleans-Metairie-Kenner, LA, Dubuque, IA and St. George, UT. See the February 2007 MMET all metro ranking table. Details on use of ranking are reviewed below. The Monthly Metropolitan Employment Trends (MMET) is a data and information service providing monthly data, analysis, and interpretation designed to assist stakeholders understand how metropolitan areas are changing -- using the most recent data available. MMET is a component of MetroDynamics. Providing an interpretive analysis based partly on U.S. Department of Labor releases monthly employment data, MMET presents the most current picture of economic activity that are available for all metropolitan areas in the U.S. Data are released the current month for employment month before last. These data provide the freshest view of trends in any one metro area and how one metro area compares to all others.
All Metro Ranking Table. The February 2007 MMET all metro ranking table enables easy comparison and rankings. Each row shows the total employment trend data for a metro. Single Metro by Type of Business. Detailed breakout tables for each metro show the same monthly data for the current month and past year by type of business. Employment data are provided by NAICS industry or type of business. See sample MMET metro spreadsheet (Excel). Selected Types of Business by Selected Metro. Create customized output to track the performance of particular types of business across multiple selected metro areas of choice. The underlying MMET database contains monthly data from January 2000 to date and is updated monthly. Select time periods to meet specific interests. Extract data for integration with other data. | ||||||||||||||||||||||||||||||
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