Hi rakjak:
Thanks for the clarification.
Given that you have the proven capacity to provide your service in NJ,
I am going to search that state first.
Having given you question some more thought, I have decided to search
on the following population/demographic criteria, in the following
order of importance:
* Persons per sq. mile - greater than 7,500
* Median household income - $30,000..$40,000 (less than the $55,000 state value)
* Bachelor's degree or higher - 10%..20%
* Population - 30,000..150,000
* White persons - 40%..60%
* Black persons - 15%..30%
* Persons over 65 years old - less than 12%
The cities in New Jersey that best fit that criteria are:
Elizabeth
URL: http://quickfacts.census.gov/qfd/states/34/3421000.html
* Persons per sq. mile - 9,865.5
* Median household income - $35,175
* Bachelor's degree or higher - 12.1%
* Population - 120,568
* White persons - 55.8%
* Black persons - 20.0%
* Persons over 65 years old - 10.0%
Passaic
URL: http://quickfacts.census.gov/qfd/states/34/3456550.html
* Persons per sq. mile - 21,804.7
* Median household income - $33,594
* Bachelor's degree or higher - 13.7%
* Population - 67,861
* White persons - 35.4%
* Black persons - 13.8%
* Persons over 65 years old - 8.1%
Assuming that you would prefer to stay closer to NJ rather than travel
a great distance, I looked next in Pennsylvania. Given that this state
has different average values, I changed the criteria slightly:
* Persons per sq. mile - greater than 5,000
* Median household income - $25,000..$35,000 (less than the $40,000 state value)
* Bachelor's degree or higher - 10%..20%
* Population - 30,000..150,000
* White persons - 50%..75%
* Black persons - 5%..20%
* Persons over 65 years old - less than 15%
The cities that match those criteria are:
Allentown
URL: http://quickfacts.census.gov/qfd/states/42/4202000.html
* Persons per sq. mile - 6,011.5
* Median household income - $32,016
* Bachelor's degree or higher - 15.4%
* Population - 106,632
* White persons - 72.5%
* Black persons - 7.8%
* Persons over 65 years old - 15.1%
Lancaster
URL: http://quickfacts.census.gov/qfd/states/42/4241216.html
* Persons per sq. mile - 7,616.5
* Median household income - $29,770
* Bachelor's degree or higher - 14.0%
* Population - 56,348
* White persons - 61.6%
* Black persons - 14.1%
* Persons over 65 years old - 10.5%
Reading
URL: http://quickfacts.census.gov/qfd/states/42/4263624.html
* Persons per sq. mile - 8,270.2
* Median household income - $26,698
* Bachelor's degree or higher - 8.6%
* Population - 81,207
* White persons - 59.2%
* Black persons - 12.2%
* Persons over 65 years old - 12.4%
York
URL: http://quickfacts.census.gov/qfd/states/42/4287048.html
* Persons per sq. mile - 7,852.2
* Median household income - $26,475
* Bachelor's degree or higher - 10.6%
* Population - 40,862
* White persons - 59.8%
* Black persons - 25.1%
* Persons over 65 years old - 10.9%
Please let me know if this type of data fits your needs. If so, which
other states would you like me to focus on next? If not, what can I do
to alter these results to better fit your needs.
Thanks.
websearcher |
Clarification of Answer by
websearcher-ga
on
08 Jun 2005 11:46 PDT
Hi rakjak:
Thank you for the further clarifications.
First of all, let's deal with the evolving demographic criteria on
which the search will be conducted. If the majority of your clients
are white males aged 30 - 50, then I'd suggest our new criteria to be
(in order of importance):
* Persons per sq. mile - greater than 5,000
* White persons - 60%+ (the higher, the better)
* Median household income - 10%+ less than the appropriate state average
* Bachelor's degree or higher - 10%..20%
* Population - 30,000..150,000
* Persons over 65 years old - less than 12%
Now, New Brunswick doesn't completely fit this profile any more, as
they only have a 48.8% white population, far lower than the 72.6%
average for all of New Jersey even. However, I think that aiming for
the higher percentage is a good idea and will produce even better
prospects.
Does this sound good to you?
As for your question about what would "more extensive" research cost -
I appreciate the fact that you recognize that a lot of work has
already gone into this question and that $100 isn't a fair price for
this work plus the amount of work that would need to follow. Part of
the challenge with this research is that it is really hard to say how
much more time/effort will be required overall.
Given all that, I can see the following options for continuing this research:
* You can continue using Google Answers to do this further research OR
you can choose - now that you have your criteria more accurately
worked out - to hire a demographics specialist/firm to complete the
research.
* If you choose to use another service for the rest of your research,
you could pose a question on Google Answers for help locating such a
specialist/firm.
* If you choose to use Google Answers to complete this research, you could:
* Create additional questions one after another - perhaps each at $100 -
until the research is completed, OR
* Split the research into 4 - 5 areas of the U.S. (e.g., east, west,
south, midwest) and create a separate say $100 question for each of
these areas.
* In addition, if you choose to use Google Answers to
continue/complete this research, you could choose to open the
subsequent questions to other Google Answers Researchers OR - if you
prefer to continue working with me - you could specify in the subject
and body of each question that the question is for websearcher-ga.
I would be more than happy to continue helping you in any way I can.
If you feel the demographics criteria we've been working on still need
further optimization, then we can continue to do that in the context
of this question.
One other thing crossed my mind that you may wish to consider - it
might be worth considering approaching this research on more of a
"scientific" basis. By that I mean finding maybe 2 - 5 additional
candidate cities based on the demographics we choose, then trying the
seminars there and seeing whether they work out for you as well. The
results from that data set would then be used to refine the
demographics criteria for the next stage of research/seminars. This
would certainly prolong the research experience, but might prove more
profitable to your bottom line. I just have this niggling feeling that
our current success data set (i.e., ONE city, New Brunswick, NJ) is an
awfully small data set to be planning TOO far in advance on.
Please let me know what you think and how you'd like to proceed.
Thanks.
websearcher
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