查看完整版本: Understanding the Job Market, Part 1

Understanding the Job Market, Part 1

The job market in a metropolitan area is another reason why people move from one state to another. A poor economy and weak job market often translate into an excess talent supply.ky\z-Mw?
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The Milken Institute, a non-profit economic think tank, is an excellent source of data on local economic conditions and job growth. Its analysis of the 200 largest cities and 179 small cities is one of the most useful resources on the Web to evaluate the economic health of a potential target market. Not only does it provide sortable data on job growth, wages, and population, but it also gives an indication of the high-tech industry base in a given city. Its data confirms that some of the hottest talent markets are in Florida, Nevada, North Carolina, and Arkansas (thank you, Wal-Mart).
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A harder to use but equally valuable resource is the U.S. Bureau of Labor Statistics site at [url]http://stats.bls.gov.[/url] About as detailed as it gets, the BLS site's most useful statistics are its tracking of regional and metro area unemployment statistics. The most current release shows that unemployment rates are high in states like Michigan, Kentucky, and Alaska, and low in states like Florida, Virginia, Utah, and Nebraska. The metro rates of unemployment are also very revealing — at times an indicator of economic health in attractive climates (like Cape Coral-Fort Myers and Fort Walton, Florida) and at other times an indicator of markets that have a hard time keeping their local talent (like Sioux Falls, South Dakota and Fargo, North Dakota).
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The month-to-month statistics on the metro area unemployment rates are perhaps the most useful component of this chart, giving one an idea of whether the economy in each metro region is expanding or contracting.qM;IQ3L,uR5_3u$y
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Understanding the Job Market, Part 2u3FCgfw)BO7Li

4_'^(|,p2|-Yq+B General job market data like job growth and unemployment is useful, but not if you can't find the specific types of individuals you seek. In my hometown of Seattle, for instance, the strong high-tech market means that there are relatively large numbers of programmers and software engineers (approximately 85,000 of them, to be exact), which is reflected in the BLS data on occupations and wages by metro areas. There's not much of an entertainment industry here, which is also reflected in the low numbers of Agents and Business Managers of Artists, Performers, and Athletes (only 50 of them in Seattle compared to 2,610 of them in Los Angeles).@3D'Cm.ak^n

Lf3m|7~ Occupational data is also an important indicator of whether the types of individuals you seek live in a given market. For example, you can see which metro areas and states have high concentrations of recruiters and which pay the highest wages. It will take you a little while to navigate, but the "customized table" function allows you to view an Excel sheet with detailed data by city. This data shows that New York and Chicago have by far the highest numbers of recruiters (over 10,000 in each city), followed by Los Angeles, Boston, Philadelphia, and Washington, D.C.$e:lou:Nu3`@G(K

;C8Th(G b%{C The biggest gap in the BLS statistics is in industry by state. If you're looking for pharmaceutical employees, you'd want to know that the areas you're targeting have high concentrations of employees in this industry given its specialized nature. The U.S. Census Bureau has very general statistics on industry employment by metro up to 2004 that are relatively helpful, and this data can often be supplemented by state departments of labor, a helpful list of which can be found here.
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?Y_mk??0K` Finally, your own knowledge of competitor locations and the types of individuals they employ in each location are incredibly important. One of the best resources for this type of data is each organization's career website, which can give you an idea of what types of employees they recruit and in which locations they recruit them