Demographic profile

Demographic profiling is a form of Demographic Analysis used by marketers so that they may be as efficient as possible with advertising products or services and identifying any possible gaps in their marketing strategy. Demographic profiling can even be referred to as a euphemism for corporate spying. By targeting certain groups who are more likely to be interested in what is being sold, a company can efficiently expend advertising resources so that they may garner the maximum number of sales. This is a more direct tactic than simply advertising on the basis that anyone is a potential consumer of a product; while this may be true, it does not capitalise on the increased returns that more specific marketing will bring. Traditional demographic profiling has been centered around gathering information on large groups of people in order to identify common trends. Trends such as, but not limited to: changes in total population and changes in the composition of the population over a period of time. These trends could promote change in services to a certain portion of the population, in people such as: children, elderly, and the working age population. They can be identified through surveys, in-store purchase information, census data, and so on. New ways are also in the works of collecting and using information for Demographic Profiling. Approaches such as target-sampling, quota-sampling, and even door-to-door screening.
An effective means of compiling a comprehensive demographic profile is the panacea of marketing efforts. To know a person's name, ethnicity, gender, address, what they buy, where they buy it, how they pay, etc., is a powerful insight into how to best sell them a product. The development of this profiling is the goal of many businesses around the world, who are pouring huge amounts of money into researching it. A recent discovery that has drastically changed the way we construct demographic profiles, is metadata. This is the digital footprint left behind of everyone who uses online services. The more extensive a user's usage, the more extensive the information available on them and their interests. Companies such as Google and Facebook make enormous profits through the generation and processing of metadata, which can then be used by companies wishing to streamline their advertising to those best suited to seeing it. This is what controls the ads on a user's news feed, or websites they visit, and means that for example, an avid mountain biker, is more likely to come across ads aiming towards that interest. For another example, for young girls who often visit online shopping stores, when on a social media account such as Facebook, the pop-up ads are more likely to concern recent stores they've visited or stores similar to. Metadata includes information such as the amount of time spent on a website, what websites a user frequently visits, where/what they clicked and how many times, what they've purchased, whom they have talked to, and what they have purchased. It is so pervasive that most of what people do online contributes to the information being held about them by businesses, and will directly affect what is advertised and shown to them when using an online browser and what mediums this is done through.
The gathering of metadata has proven to be a controversial topic, with large numbers of people around the world expressing discomfort at the idea of their personal information is being used to generate a virtual profile of themselves for businesses to take advantage of. This leads to businesses needing to progress with caution in this field, and not go too far with how they use this information. To avoid future legislation being enacted that would seek to limit the collection of metadata, companies must act ethically and have people's privacy in mind when they target people for advertising. An example of how this could become an issue is presented by Vastenavondt, J., & Vos, K., & Ewing, T., & Wood, O., who propose the idea of a virtual reality shopping programme. Within this programme, the shopper is greeted by a virtual attendant who knows them by name and suggests an array of suitable clothing options based on their past purchases. The shopper is delighted by the seamless nature of this shopping experience, until it come time to make a purchase. When buying the items the shopper has picked out, they opt to use their credit card. They are then asked by the virtual attendee if they are sure they would like to use that option, as their credit history suggests that cash would be a wiser option and that they wouldn't want to default on their payments as they have in the past. This highlights the need for discretion in the extent to which information is gathered, and how it is applied.

Calculation methods

Demographic data that makes up the profile is collected through multiple ways such as censuses, surveys, records, and registries in order to keep track of things such as population, births, deaths, relationship status, and more. The Census is the most important tool when it comes to tracking this data. The United States Census was first introduced in 1790 and has been taken every 10 years since under Constitutional law . While the questions in the U.S. Census vary each decade, the aim is to find more about the residence within its borders and their unique characteristics from marital status, age, sex, race, education status, employment status, and location. Even though the U.S. Census is the most relied on tool for collecting this information it still has its flaws such as overcount and undercount which has caused controversy in previous years.

World Demographic Profile 2017


World Population	7,405,107,650
10 Most Populated Countries	China: 1379.3 India: 1281.93 United States: 326.6 Indonesia: 260.58 Brazil: 207.35 Pakistan: 204.92 Nigeria: 190.63 Bangladesh: 157.83 Russia: 142.26 Japan: 126.45
Age Structure	0-14 years: 25.44% 15-24 years: 16.16% 25-54 years: 41.12% 55-64 years: 8.6% 65 years and over: 8.68%
Dependency Ratio	total dependency ratio: 52.5 youth dependency ratio: 39.9 elderly dependency ratio: 12.6 potential support ratio: 7.9
Median age	total: 30.4 years male: 29.6 years female: 31.1 years
Birth rate	4.3 births every second
Death rate	1.8 deaths every second
Maternal mortality	216 deaths/100,000 live births
Sex ratio	at birth: 1.03 male/female 0-14 years: 1.07 male/female 15-24 years: 1.07 male/female 25-54 years: 1.02 male/female 55-64 years: 0.95 male/female 65 years and over: 0.81 male/female total population: 1.02 male/female
Life Expectancy	total population: 69 years male: 67 years female: 71.1 years
Total Fertility Rate	2.42 children born/woman
Languages	Mandarin Chinese: 12.2% Spanish: 5.8% English: 4.6% Arabic: 3.6% Hindi: 3.6% Portuguese: 2.8% Bengali: 2.6% Russian: 2.3% Japanese: 1.7% Percentages for "first language" speakers only; the six UN languages - Arabic, Chinese, English, French, Russian, and Spanish which are mother tongues for approximately half of the world's population. They are also the official languages in over half the countries in the world with more than a million first-language speakers. There is an estimated 7,000 languages spoken in the world and about 80% of the languages are spoken by >100,000 people and approximately 130 of those languages are spoken by >10 people. There is an estimated amount of 2,300 languages spoken in Asia, 2,140 in Africa, 1,310 in the Pacific, 1,060 in the Americas, and 290 in Europe.
Religions	Christian: 31.4% Muslim: 23.2% Hindu: 15% Buddhist: 7.1% folk religions: 5.9% Jewish: 0.2% other: 0.8% unaffiliated: 16.4%

Source: CIA World Factbook