The impact of the demographic factors in the food industry

The same can be said about the masses in Kenya who mainly eat the staple food, ugali. Wendy's has focused primarily on the adult market while McDonald's has fashioned an all-out pursuit of the kid's market as evidenced by the numerous advertising tie-ins and toy giveaways. What an opportunity this is for all constituents in the supply chain.

Census Bureau products; create reference and thematic maps; and search for specific data. Technology overall has proved to be something indispensable. People no longer follow predictable patterns. And, in turn, the shifting ethnic mix of our increasingly multi-cultural society may also be now as important a factor as pure demographics.

These retailers target growth areas with a majority of white-collar workers. This is placing a further squeeze on disposable income and a growing demand for convenience led retail solutions. Yesterday it was very easy to predict where people would shop based on their class and income.

Heavy use of these convenience products would suggest a below-average level of cooking for the same respondents. Lifestyle Data Sources Several private data firms offer lifestyle cluster systems.

Investment, development, financing and management. These households tend to be more frugal and selective in their buying behavior, shopping at discount outlets for groceries and other goods rather than high-end stores.

The most successful retailers could be those managing to blend the general and multicultural markets. However, this observation cannot be verified until you know what constitutes an average number of white-collar workers.

Its revenue has grown more than 30 times since then. This therefore impacts on the types of apparel products purchased by the majority of people in the country.

Billions are being poured into that continent. They are the only customer! Several chains have preliminary plans already in place to have their stores become energy independent as alternative energy sources and technology make such goals attainable. This is also a reason that technology has become important for fast food brands.

Will we tire of an endless stream on on-line offers, literally faceless transactions and conversations, or will we simply adapt to this new world order over time? Comparing the Primary Trade Area with Other Areas Demographic statistics are especially useful if they are presented in comparison with other places.

Household income positively correlates with retail expenditures in many product categories. It helps businesses decide which of these factors are favorable and which are not. First, it is the competition between the brands. Globally, the fast food brands have to comply with these requirements.

Homosexuality is perceived as being immoral in Nigeria, Kenya and Cameroon and has a lot of stigma attached to it. Martin Hayward, Founder of Hayward Strategy and Futures There can be a tendency in society at large and the retail sector as well, to chase the novel at the expense of the proven, the new at the expense of the old.

Census website includes a link to its user-friendly data-filled website called American FactFinder at http: For example, population growth is apt to occur much faster in the south than the north; populations are apt to cluster by income and, in the case of migrants, often by nationality too.

Specifically, what does the data suggest about new business or real estate opportunities downtown? Quotes are individually credited.

Industry Factors & Trends

Prices charged by these firms have become more and more affordable as competition has increased. So the choices of strategies would be influenced by these factors: In US alone, more thanrestaurants feed more than 50 million people daily.

In such cases, big restaurant chains may respond by cutting their prices further and increasing advertising to lure consumers back to their restaurants. There are regulations related to wages, hygiene and food quality that need to be complied with. This is a fundamental difference between it and the other challenges facing retailers in a competitive market place, which happen much faster, for example the effect on shopping behaviour caused by new technology.

Relevant Data Categories Interpretation of demographic data is often missing in market analysis.2 The Effect of Demographic, Economic, and Nutrition Factors on the Frequency of Food Away From Home Abstract Food away from home, especially fast food, is often cited as contributing to rising.

Describe factors and trends affecting your industry and consider their implications for your business. Issues to think about include: Demographic - The basic characteristics that your customers tend to have in common, like age, income level, geography or gender; Social - Fads or shifts in popular opinion, often strongly influenced by the media.

To help you craft your own target demographic, we’ve run the numbers in three important categories—age, ethnicity, and income—and asked experts from across the industry how each affects the quick-service category.

Chapter 2 Forces Affecting Growth and Change in the Hospitality Industry Learning Objectives. Explain how the changing demographics of the North American population impact the demand for hospitality services, and give examples of demographics that affect both food service and lodging operations.

6 factors shaping the global economy in 2016

Sep 11,  · 6 factors shaping the global economy in 23 Dec Anders Borg Minister of Finance of Sweden ( The consequences of a growing population is positive in the long term, reducing the demographic pressure of an ageing population. Increased internal globalisation, to use the term coined by Angela Merkel, is potentially.

Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications.

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The impact of the demographic factors in the food industry
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