Demographics Meaning Types Effects Examples

Demographics Meaning

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Demographics data provides an overview of the population. It helps analyze the effects of the labor supply in the market. Also, businesses can understand the cultural and social trends prevailing in the industry. In addition, it helps the government in making vital monetary policies and tax policies. However, this statistical data might not apply to everything.

Key Takeaways

Demographics is a tool to collect information about individuals through statistical surveys. Companies commonly use it as a marketing tool to find the target audience. It helps in determining the social and cultural trends within individual groups. Also, it helps the government in making fiscal and monetary policies. Various demographics include age, gender, occupation, status, location, and race. Since psychographics deal with an individual’s likes, dislikes, and preferences, population data differs slightly from demographics.

Demographics In Marketing Explained

Demographics allow companies to understand their target audience after surveying a certain population. For example, companies understand the audience’s age, gender, race, occupation, and origin. Therefore, they consider it an important marketing tool for advertising.

The history of demographics maps dates back to ancient civilizations, including Greece, Rome, China, and India. In the medieval age, many European thinkers like William of Conches, Bartholomew of Lucca, William of Auvergne, and others contributed to this field. Later, in 1755, the founding father of the United States, Benjamin Franklin, wrote a demographic essay on “Observations Concerning the Increase of Mankind, Peopling of Countries, etc. It stated the population growth and its cons. Later, many other demographers also proposed their work. Some of them were Belgian scholars like Achille Guillard, Adolphe Quetelet, Louis-Adolphe Bertillon, Wilhelm Lexis, and others.

Types

Let us look at the types of demographics data that determine the characteristics of the customers:

#1 – Age

Some companies provide goods and services that cater to different age groups as it helps in understanding the customer’s needs. Thus, age demographics allow companies to segregate their audience based on age groups. For example, the consumer-good entity Procter and Gamble (P&G) sells different products ranging from haircare and personal hygiene and might go for age demographics.

#2 – Gender

Like age, even gender plays an important role in determining customer demographics. In the above example, P&G sells a wide range of products. The sales of their brand “Gillette” will purely depend on the number of males. Likewise, “Olay” will have a majority of female buyers.

#3 – Occupation

Many companies refer to occupation statistics to understand their audience. It helps them to reach a specific group of individuals that will benefit them. For example, Kodak (a camera manufacturing company) will use surveys to count the number of photographers and videographers.

#4 – Location Or Region

Geographic location is a vital element of statistical surveys. It also affects the customer’s preference and buying needs. Companies use these surveys to understand the number of customers in a particular region. For example, the tatami mats manufacturer, Japan Vilene company, sells floor mats to earthquake-prone areas with wooden houses.

#5 – Race

Firms do consider race statistics to stand against racism. And then use it as a tactic to promote their brand. For example, Unilever’s brand “Dove” tried to fight racism through its real-beauty campaign. However, racists felt it was wrong because they depicted a black woman turning into a white.

#6 – Status

Family, personal, or employment status helps the firm determine its target audience. For example, an insurance company will use these statistical surveys to target married couples and families to cater to their needs.

Effects

#1 – Labor Market

As population statistics fluctuate, the supply of labor also behaves the same. Also, the population aging faster leads to a decline in the labor force. And this affects the long-run unemployment rate as older people work less and other groups are actively involved. For example, as the mortality rate increases, the workforce increases.

#2 – Economic Growth

As the age statistics get affected, it also hinders the economy’s productivity. A rise in any element (age, gender, or occupation) will influence the economy’s growth. For example, the nuclear attacks during World War II reduced labor. Thus, leading to a decline in the economy of Japan.

#3 – Monetary Policies

Demographics can influence the government’s policies. For example, as the older age groups tend to hold more money, the younger groups tend to borrow. And if the statistics show an increase in any group, the government can bring necessary changes in the policies.

Examples

Let us look at the examples of demographics to comprehend the concept better:

Example #1

Suppose Nike (a shoe manufacturer) wants to launch a new product by mid-2023. But, they want to make a winter shoe this time. So, first, they will conduct regional surveys to count the number of customers in cold regions. Next, they will survey the number of athletes and events happening in winter. Then, based on the findings, they will manufacture a pair of shoes that protects human feet during winter. It provides the perfect grip and protection in and out of the shoe. Unless Nike did not perform such a survey, it would not have been easy to develop such a strategy.

Example #2

During a recent interview, Bose’s chief marketer Jim Mollica stated that Bose (speaker and headphone producer) is changing its strategy from demographics to the demand cycle. According to Mollica, customer trends are growing daily, and so is their demand. Although customer demographics is a useful tool, more focus must be on the desire and demand cycle. In an interview with Forbes, author Susan Golden states that businesses need to use age data in their strategies. This shift will bring a $22 trillion opportunity for companies.

Demographics vs Psychographics

Although demographics and psychographics are types of statistical surveys, they do differ. For example, while the former considers age, gender, and occupation as key metrics, the latter depends on the personal attributes of a person. Also, the data for the former is easily available, whereas it differs for the latter. However, at times, the latter can clash with the former. For instance, two people will have similar choices, but their gender and age will differ.