When we say we analyze "person data", what we
mean is that we analyze US Census data at the "person"
level. There are multiple levels of census data, and the lowest
level is the person level. If you are analyzing characteristics that
belong to a "person" (as opposed to a household, or a state, or
other geographic area), it is a "person" level analysis.
Examples are race, age, marital status, education, etc.
We cannot tell you anything about an individual person, nor can we
produce mailing lists. (Neither can anyone else who is using Census
Data, including the Census Bureau, with the exception that personal 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 the US population based on person level characteristics. For example, suppose you are about to plan a new career. What kind of a salary range do different professions have? How much do the salaries for a profession vary throughout different industries? What about in different areas of the country? Or suppose you are planning a business, and your expected customers are black, single males 43-60 years old. What are their incomes? Are there specific geographic areas you should concentrate on? These are just a few examples of questions you might need to answer in order to help you invest your time and money wisely.