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Annual Expenditure on Other Food at Home per Consumer Unit (Metro)

Source: BLS Consumer Expenditure Survey (CES), Bureau of Labor Statistics (Department of Labor)
Topic: EconomySubtopic: Consumer ExpendituresCategory: Food
Product: Business Stats, Local StatsDate Updated: September 2018Update Tips
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    * Metro area data are not available for the 1995-96 period. National median values from 2003 to 2006 may be affected by a decrease in the number of Metro Areas included in the survey. This median is only reflective of the data available and not necessarily the entire nation.

    Years Available: 1986-1987, 1987-1988, 1988-1989, 1989-1990, 1990-1991, 1991-1992, 1992-1993, 1993-1994, 1994-1995, 1996-1997, 1997-1998, 1998-1999, 1999-2000, 2000-2001, 2001-2002, 2002-2003, 2003-2004, 2004-2005, 2005-2006, 2006-2007, 2007-2008, 2008-2009, 2009-2010, 2010-2011, 2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, 2016-2017

    Permanent Link: http://data.sagepub.com/sagestats/4419

    General Notes: *Median value gives the value for the "average" metro area for this metric, the 50th percentile of the small subset of Metro Areas included in the survey. It should not be seen as nationally representative. **Miscellaneous foods includes frozen prepared meals and other foods; canned and packaged soups; potato chips, nuts and other snacks; condiments and seasonings, such as olives, pickles, relishes, sauces and gravies, baking needs and other specified condiments; and other canned and packaged prepared foods, such as salads, desserts, baby foods, and vitamin supplements. The terms consumer unit, family, and household are often used interchangeably for convenience. However, the proper technical term for the purposes of the Consumer Expenditure Survey is consumer unit, which includes family households, financially independent individuals (even if they live with other households), and two or more persons living together who use their incomes to make joint expenditure decisions. A ! symbol indicates that data are likely to have large sampling errors.

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