operates in an oligopoly. The most prevailing competitor is‚ A cut above Groom & Board located in Bristol Indiana about 7 miles away. Elkhart County has a population of 199‚619 people an increase from 197‚559 in 2010 according to AVMA the percent of households owning a cat is 30.4% and for a dog it’s 36.5% which roughly equals to the amount of 132‚167 pets to be groomed in the county. There are 14 other dog and cat grooming facilities located in Elkhart County but they only compete on a very limited
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An Analysis of income Distribution by Gender: A Review of Household Integrated Economic Survey 2011-12 Submitted to: Dr. Shafqat Shehzad Submitted by: Adeel Tariq(11273) Sami Ullah Majid(11113) Hasnain Shoukat(17494) An Analysis of income Distribution by Gender: A Review of Household Integrated Economic Survey 2011-12 Research Conducted By: Adeel Tariq (11273) Hasnain Shoukat (17494)
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weeks of work a year‚ with each of these numbers representing wages before taxes. For a single person household‚ this theoretically puts the person in question above the poverty threshold‚ which was $10‚991 for 2008. In fact‚ a two person household has a poverty threshold of $14‚051‚ so one minimum wage job is enough to keep this household above the poverty line also. However‚ a three person household where one of the people is under 18 would be unable to push above the poverty line‚ which for them
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throughout Detroit‚ Oakland‚ Macomb‚ and Wayne counties. The service area for Beaumont Hospital is Oakland County which consists of cities‚ villages‚ and townships with a population of 1‚202‚362 people. Approximately 30% of Oakland County’s 483‚698 households have children aged 18 years old or younger. Beaumont is the exclusive clinical teaching site for the Oakland University William Beaumont School of Medicine. The system draws on a rich history of pioneering medical research to serve the health needs
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(2) more well-off but cautious buyers who wish to test a refrigerator in their homes before making a commitment to buy it. Target Market Analysis Segment (1) is growing every day‚ as the cascading results of the global recession have lowered household wealth in general. Segment (2) is smaller‚ but has still grown in response to the recession; even wealthier buyers have adopted a more cautious stance with regards to their purchases‚ and therefore need to be wooed with more inventive strategies
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1.0: INTRODUCTION Women account for approximately half of whichever nation’s populace. Yet‚ in nearly all countries‚ females play a much less role than men in contributing towards the worth of recorded production in labour force participation. Under-utilizing female labour has palpable consequences for economic welfare and growth. Quite a lot of factors‚ both economic and non-economic could be deemed liable for this. Particular‚ the partaking of women in the labour force seems to depend more
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Korpacz Realty Advisors‚ Inc. Litigation‚ Valuation & Counseling 2015 Regional Mall Classification Methodology Study Mall Classification Methodology Determining an appropriate classification for a regional mall is a two-step process. The first step is to compare the inline mall sales generated by the mall to the classification survey based on retail sales performance. The second step is to consider adjusting the classification for other subject property attributes. Step 1 – By way of example‚ if
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district during June to July‚ 2013. Here primary data are collected through questionnaire method. Among the respondents 10 household are selected as sample. About 70% villagers are illiterate and 20% are involved with agriculture. About 70% families have half-building house‚ While 10% and 20% families have building and tin shed house respectively. And average per household income is 283500Tk. Here we examine that some of socio economic factors was significantly influence over the income of the
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card accounts. This information‚ table one‚ included household size‚ annual income‚ and the amount charged to the account. Scatter plots of the data were produced. Figure one shows household size vs. amount charged. This graph shows that the positive linear relationship of the data is somewhat strong. The r squared is 0.56‚ analyzing the graph there is a correlation of household size to amount charged‚ but there is a range per household size. Figure two shows annual income vs. amount charged
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Audience for this campaign. TARGET AUDIENCE Following extensive research‚ we decided to select a broad target audience based on the criteria’s of location‚ age and income. Our target audience is women aged 35 to 50 years old with mid-level joint household incomes ($80‚000 to $200‚000) located within major cities in Victoria and New South Wales. In order to effectively tailor our communication we have further segregated this audience into working woman and housewives with children. A summary of our
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