| When we say we analyze "household data", what we
mean is that we analyze US Census data at the "household"
level. There are multiple levels of census data, and one level is
the household level. If you are analyzing characteristics that
belong to a "household" (as opposed to a person, or a state, or
other geographic area), it is a "household" level
analysis. Examples are fuel cost, household income, water source,
year built, etc.
We cannot tell you anything about an individual household, nor can we
produce mailing lists. (Neither can anyone else who is using Census
Data, including the Census Bureau, with the exception that personal
household data is available if the data is over 70 years old.)
The data that we get from the Census Bureau has been "sanitized"
to prevent privacy violations, and this makes it impossible for us to
create mailing lists or produce any kind of personal information.
That said, there is enormous value in analyzing data at the household level. Suppose, for example, that you want to start a business that involves swimming pools, and you believe that households with 2 or more children between the ages of 6-14 are most likely to either have or want swimming pools. Surely you would want to know as much as possible about that group! What kind of income do they have, how many live in owned (as opposed to rented) quarters, etc. Or suppose that you are marketing an alternate energy source, such as windmills. Wouldn't you like to know how much households typically spend on electricity? Or how many households in a particular area have electric heat? These are just a few examples of the countless questions that people might ask at a household level.
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