statistics in daily life essay

Statistics Made Easy

8 Examples of How Statistics is Used in Real Life

The field of statistics is concerned with collecting, analyzing, interpreting, and presenting data.

When learning about statistics, students often ask:

When is statistics actually used in real life?

It turns out that it’s used in many different fields for a variety of applications.

In this article we share 8 examples of how statistics is used in real life.

Related: Why is Statistics Important? (10 Reasons Statistics Matters!)

Example 1: Weather Forecasting

Statistics is used heavily in the field of weather forecasting.

In particular, probability is used by weather forecasters to assess how likely it is that there will be rain, snow, clouds, etc. on a given day in a certain area.

Forecasters will regularly say things like “there is a 90% chance of rain today between after 5PM” to indicate that there’s a high likelihood of rain during certain hours.

Example 2: Sales Tracking

Retail companies often use descriptive statistics like the mean, median, mode, standard deviation, and interquartile range to track the sales behavior of certain products.

This gives companies an idea of how many products they can expect to sell during different time periods and allows them to know how much they should keep in inventory.

Example 3: Health Insurance

Health insurance companies often use statistics and probability to determine how likely it is that certain individuals will spend a certain amount on healthcare each year.

For example, an actuary at a health insurance company might use factors like age, existing medical conditions, current health status, etc. to determine that there’s a 80% probability that a certain individual will spend $10,000 or more on healthcare in a given year.

Example 4: Traffic

Traffic engineers regularly use statistics to monitor total traffic in different areas of a city, which allows them to decide whether or not they should add or remove roads to optimize traffic flow.

Also, traffic engineers often use time series analysis to monitor how traffic changes throughout the day so they can optimize the behavior of traffic lights.

Example 5: Investing

Investors use statistics and probability to assess how likely it is that a certain investment will pay off.

For example, a given investor might determine that there is a 5% chance that the stock of company A will increase 100x during the upcoming year. Based on this probability, they’ll decide how much of their portfolio to invest in the stock.

Example 6: Medical Studies

Statistics is regularly used in medical studies to understand how different factors are related.

For example, medical professions often use correlation to analyze how factors like weight, height, smoking habits, exercise habits, and diet are related.

If a certain diet and overall weight is found to be negatively correlated, a medical professional may recommend the diet to an individual who needs to lose weight.

Example 7: Manufacturing

Statistics is often used in manufacturing to monitor the efficiency of different processes.

For example, manufacturing engineers may collect a random sample of widgets from a certain assembly line and track how many of the widgets are defective.

They may then perform a one proportion z-test to determine if the proportion of widgets that are defective is lower than a certain value that is considered acceptable.

Example 8: Urban Planning

Statistics is regularly used by urban planners to decide how many apartments, shops, stores, etc. should be built in a certain area based on population growth patterns.

For example, if an urban planner sees that population growth in a certain part of the city is increasing at an exponential rate compared to other parts of the city then they may decide to prioritize building new apartment complexes in that part of town compared to another area.

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Statistics in Daily Life: Uses and Misuses

Nov 29, 2021 | General

(Lies, damned lies, and statistics)

“Lies, damned lies, and statistics,” a phrase popularized by Mark Twain and variously ascribed to different public personalities, describes the persuasive power of statistics to convince, rightly or wrongly, and to prop up not only serious science but also alternative facts and fake news.

In the seventh of the PACES Lecture Series held on Friday, 26 November 2021, Dr. Cornelia C. Soto explained the basic concepts of statistics to a virtual audience in Austria and the Philippines composed of members and supporters of PACES.

Dr. Soto is a specialist in Statistical Studies. She was the Chair of the Education Department at Ateneo de Manila University from 2010 to 2018. She obtained her Ph.D. from the University of the Philippines. A professional lecturer who is in demand in the Philippines, she explained in layman’s terms how the study of statistics need not be feared, although it has a reputation of being a difficult study.

Statistics deals with the collection, analysis, interpretation, and presentation of masses of numerical data in order to describe or to draw inferences. Interestingly the word “statistics” is derived from the German “ Statistik, ” which itself comes from the Latin word “ statisticus ” or “status” meaning “condition or circumstances of a country.” It shares the the same root as the modern English word “state” referring to a political entity.

Dr. Soto gave examples of how statistics appears in our daily lives such as in describing the efficacy of vaccines (now a much-talked about topic), in sales & marketing of products and services, in sporting achievements, popularity ratings in politics, as well as to describe features of population groups related to gender, race, age, income levels, height/weight. There seems to be no end to the uses of statistics. She explained various concepts that are useful to properly appreciate the meaning of statistical numbers, such as averages, statistical deviation and margins of error. She also demonstrated how methods of sampling can lead to false or favorable statistics. Dr. Soto explained that statistics are interesting not only for what they can reveal to us, but also what they can cover up.

– by Dr. Efren Abaya

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Introductory essay

Written by the educators who created Visualizing Data, a brief look at the key facts, tough questions and big ideas in their field. Begin this TED Study with a fascinating read that gives context and clarity to the material.

The reality of today

All of us now are being blasted by information design. It's being poured into our eyes through the Web, and we're all visualizers now; we're all demanding a visual aspect to our information...And if you're navigating a dense information jungle, coming across a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a clearing in the jungle. David McCandless

In today's complex 'information jungle,' David McCandless observes that "Data is the new soil." McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource providing a fertile and creative medium from which new ideas and understanding can grow. McCandless's inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his compelling image of flowers growing out of data/soil. These 'flowers' represent the many insights that can be gleaned from effective visualization of data.

We're just learning how to till this soil and make sense of the mountains of data constantly being generated. As Gary King, Director of Harvard's Institute for Quantitative Social Science says in his New York Times article "The Age of Big Data":

It's a revolution. We're really just getting under way. But the march of quantification, made possible by enormous new sources of data, will sweep through academia, business and government. There is no area that is going to be untouched.

How do we deal with all this data without getting information overload? How do we use data to gain real insight into the world? Finding ways to pull interesting information out of data can be very rewarding, both personally and professionally. The managing editor of Financial Times observed on CNN's Your Money : "The people who are able to in a sophisticated and practical way analyze that data are going to have terrific jobs." Those who learn how to present data in effective ways will be valuable in every field.

Many people, when they think of data, think of tables filled with numbers. But this long-held notion is eroding. Today, we're generating streams of data that are often too complex to be presented in a simple "table." In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses audio, video, and the text messages in social media as data.

Some may also think that only a few specialized professionals can draw insights from data. When we look at data in the right way, however, the results can be fun, insightful, even whimsical — and accessible to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on any other day of the week, or that the most break-ups (at least those discussed on Facebook) occur in mid-December? David McCandless discovered this by analyzing thousands of Facebook status updates.

Data, data, everywhere

There is more data available to us now than we can possibly process. Every minute , Internet users add the following to the big data pool (i):

• 204,166,667 email messages sent
• More than 2,000,000 Google searches
• 684,478 pieces of content added on Facebook
• $272,070 spent by consumers via online shopping
• More than 100,000 tweets on Twitter
• 47,000 app downloads from Apple
• 34,722 "likes" on Facebook for different brands and organizations
• 27,778 new posts on Tumblr blogs
• 3,600 new photos on Instagram
• 3,125 new photos on Flickr
• 2,083 check-ins on Foursquare
• 571 new websites created
• 347 new blog posts published on Wordpress
• 217 new mobile web users
• 48 hours of new video on YouTube

These numbers are almost certainly higher now, as you read this. And this just describes a small piece of the data being generated and stored by humanity. We're all leaving data trails — not just on the Internet, but in everything we do. This includes reams of financial data (from credit cards, businesses, and Wall Street), demographic data on the world's populations, meteorological data on weather and the environment, retail sales data that records everything we buy, nutritional data on food and restaurants, sports data of all types, and so on.

Governments are using data to search for terrorist plots, retailers are using it to maximize marketing strategies, and health organizations are using it to track outbreaks of the flu. But did you ever think of collecting data on every minute of your child's life? That's precisely what Deb Roy did. He recorded 90,000 hours of video and 140,000 hours of audio during his son's first years. That's a lot of data! He and his colleagues are using the data to understand how children learn language, and they're now extending this work to analyze publicly available conversations on social media, allowing them to take "the real-time pulse of a nation."

Data can provide us with new and deeper insight into our world. It can help break stereotypes and build understanding. But the sheer quantity of data, even in just any one small area of interest, is overwhelming. How can we make sense of some of this data in an insightful way?

The power of visualizing data

Visualization can help transform these mountains of data into meaningful information. In his TEDTalk, David McCandless comments that the sense of sight has by far the fastest and biggest bandwidth of any of the five senses. Indeed, about 80% of the information we take in is by eye. Data that seems impenetrable can come alive if presented well in a picture, graph, or even a movie. Hans Rosling tells us that "Students get very excited — and policy-makers and the corporate sector — when they can see the data."

It makes sense that, if we can effectively display data visually, we can make it accessible and understandable to more people. Should we worry, however, that by condensing data into a graph, we are simplifying too much and losing some of the important features of the data? Let's look at a fascinating study conducted by researchers Emre Soyer and Robin Hogarth . The study was conducted on economists, who are certainly no strangers to statistical analysis. Three groups of economists were asked the same question concerning a dataset:

• One group was given the data and a standard statistical analysis of the data; 72% of these economists got the answer wrong.
• Another group was given the data, the statistical analysis, and a graph; still 61% of these economists got the answer wrong.
• A third group was given only the graph, and only 3% got the answer wrong.

Visualizing data can sometimes be less misleading than using the raw numbers and statistics!

What about all the rest of us, who may not be professional economists or statisticians? Nathalie Miebach finds that making art out of data allows people an alternative entry into science. She transforms mountains of weather data into tactile physical structures and musical scores, adding both touch and hearing to the sense of sight to build even greater understanding of data.

Another artist, Chris Jordan, is concerned about our ability to comprehend big numbers. As citizens of an ever-more connected global world, we have an increased need to get useable information from big data — big in terms of the volume of numbers as well as their size. Jordan's art is designed to help us process such numbers, especially numbers that relate to issues of addiction and waste. For example, Jordan notes that the United States has the largest percentage of its population in prison of any country on earth: 2.3 million people in prison in the United States in 2005 and the number continues to rise. Jordan uses art, in this case a super-sized image of 2.3 million prison jumpsuits, to help us see that number and to help us begin to process the societal implications of that single data value. Because our brains can't truly process such a large number, his artwork makes it real.

The role of technology in visualizing data

The TEDTalks in this collection depend to varying degrees on sophisticated technology to gather, store, process, and display data. Handling massive amounts of data (e.g., David McCandless tracking 10,000 changes in Facebook status, Blaise Aguera y Arcas synching thousands of online images of the Notre Dame Cathedral, or Deb Roy searching for individual words in 90,000 hours of video tape) requires cutting-edge computing tools that have been developed specifically to address the challenges of big data. The ability to manipulate color, size, location, motion, and sound to discover and display important features of data in a way that makes it readily accessible to ordinary humans is a challenging task that depends heavily on increasingly sophisticated technology.

The importance of good visualization

There are good ways and bad ways of presenting data. Many examples of outstanding presentations of data are shown in the TEDTalks. However, sometimes visualizations of data can be ineffective or downright misleading. For example, an inappropriate scale might make a relatively small difference look much more substantial than it should be, or an overly complicated display might obfuscate the main relationships in the data. Statistician Kaiser Fung's blog Junk Charts offers many examples of poor representations of data (and some good ones) with descriptions to help the reader understand what makes a graph effective or ineffective. For more examples of both good and bad representations of data, see data visualization architect Andy Kirk's blog at visualisingdata.com . Both consistently have very current examples from up-to-date sources and events.

Creativity, even artistic ability, helps us see data in new ways. Magic happens when interesting data meets effective design: when statistician meets designer (sometimes within the same person). We are fortunate to live in a time when interactive and animated graphs are becoming commonplace, and these tools can be incredibly powerful. Other times, simpler graphs might be more effective. The key is to present data in a way that is visually appealing while allowing the data to speak for itself.

Changing perceptions through data

While graphs and charts can lead to misunderstandings, there is ultimately "truth in numbers." As Steven Levitt and Stephen Dubner say in Freakonomics , "[T]eachers and criminals and real-estate agents may lie, and politicians, and even C.I.A. analysts. But numbers don't." Indeed, consideration of data can often be the easiest way to glean objective insights. Again from Freakonomics : "There is nothing like the sheer power of numbers to scrub away layers of confusion and contradiction."

Data can help us understand the world as it is, not as we believe it to be. As Hans Rosling demonstrates, it's often not ignorance but our preconceived ideas that get in the way of understanding the world as it is. Publicly-available statistics can reshape our world view: Rosling encourages us to "let the dataset change your mindset."

Chris Jordan's powerful images of waste and addiction make us face, rather than deny, the facts. It's easy to hear and then ignore that we use and discard 1 million plastic cups every 6 hours on airline flights alone. When we're confronted with his powerful image, we engage with that fact on an entirely different level (and may never see airline plastic cups in the same way again).

The ability to see data expands our perceptions of the world in ways that we're just beginning to understand. Computer simulations allow us to see how diseases spread, how forest fires might be contained, how terror networks communicate. We gain understanding of these things in ways that were unimaginable only a few decades ago. When Blaise Aguera y Arcas demonstrates Photosynth, we feel as if we're looking at the future. By linking together user-contributed digital images culled from all over the Internet, he creates navigable "immensely rich virtual models of every interesting part of the earth" created from the collective memory of all of us. Deb Roy does somewhat the same thing with language, pulling in publicly available social media feeds to analyze national and global conversation trends.

Roy sums it up with these powerful words: "What's emerging is an ability to see new social structures and dynamics that have previously not been seen. ...The implications here are profound, whether it's for science, for commerce, for government, or perhaps most of all, for us as individuals."

Let's begin with the TEDTalk from David McCandless, a self-described "data detective" who describes how to highlight hidden patterns in data through its artful representation.

David McCandless

The beauty of data visualization.

i. Data obtained June 2012 from “How Much Data Is Created Every Minute?” on http://mashable.com/2012/06/22/data-created-every-minute/ .

Relevant talks

Hans Rosling

The magic washing machine.

Nathalie Miebach

Art made of storms.

Chris Jordan

Turning powerful stats into art.

Blaise Agüera y Arcas

How photosynth can connect the world's images.

The birth of a word

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1.4: Statistics in Everyday Life

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• Danielle Navarro
• University of New South Wales

“We are drowning in information, but we are starved for knowledge” -Various authors, original probably John Naisbitt

When I started writing up my lecture notes I took the 20 most recent news articles posted to the ABC news website. Of those 20 articles, it turned out that 8 of them involved a discussion of something that I would call a statistical topic; 6 of those made a mistake. The most common error, if you’re curious, was failing to report baseline data (e.g., the article mentions that 5% of people in situation X have some characteristic Y, but doesn’t say how common the characteristic is for everyone else!) The point I’m trying to make here isn’t that journalists are bad at statistics (though they almost always are), it’s that a basic knowledge of statistics is very helpful for trying to figure out when someone else is either making a mistake or even lying to you. In fact, one of the biggest things that knowledge of statistics does to you is cause you to get angry at the newspaper or the internet on a far more frequent basis.

Every Number Counts: The Importance of Applied Statistics in Our Daily Lives

In today’s data-driven world, the application of statistics in everyday life is an ever-present reality that touches all aspects of society. Though the field of statistics originated centuries ago, the impact has exploded in recent years as modern statisticians have advanced applications of statistics through innovative, problem-solving approaches.

This blog will explore contemporary uses of statistics in everyday life, and the infographic following highlights vital examples.

See the infographic version

The Evolution of Statistics in the Real World

The technologies powering many of the products we buy, shows we watch, and devices we use today were developed and perfected through the efforts of mathematicians, demographers and statisticians — long before tech companies entered the picture. 

The idea of a census is a prime example of statistical progress over time. Historically, governments have used censuses to track population size. For instance, English demographers John Graunt and William Petty applied mathematical techniques to estimate population changes in the 1600s. In the United States, the first census dates back to 1790. 

The process and ramifications of the U.S. census have continued to expand, covering an increasingly broad range of demographic and economic information. Today’s U.S. census determines vital areas of government that significantly impact daily life, such as allocation of public funding, congressional representation and delineation of school districts.

The role of statistics in the real world extends far beyond the census, however. The federal government now operates 13 statistical agencies that manage critical information related to labor trends, health, education and more. Statistics also influence the operations of industries, markets and even nonprofits.

The Scope of Statistics in Everyday Life

The practice of applied statistics plays a role in every realm of life today. The application of statistics most often happens in the background, as statisticians are continuously at work to discover and implement world-shaping developments.

Applying statistics in the real world extends to every aspect of government in countries around the world. The United Nations Statistics Division describes the role of official statistics as an “indispensable element in the information system of a democratic society.”

Politicians and campaign managers use statistics to target specific voter demographics, gauge rates of constituent approval, and predict elections. Additionally, law enforcement agencies track data about fraud and crime that is then used to evaluate the effectiveness of strategies and tactics.

Government statistics also affect daily life in many less obvious ways. These are some examples from the U.S. government of statistics in everyday life:

• Economic numbers related to production, investment and trade affect financial policies and taxes. Governments, market leaders and other statisticians depend on this information to understand how the national economy is performing and how this affects their interests.
• Federal science research advances scientific and engineering discovery and integrates this work into education. Leading-edge federal research supports the nation’s security and international leadership.
• The collection and analysis of educational data inform leaders on key indicators concerning the condition of education. The scope of information includes findings in areas such as technological trends, public health, and educational methods. 

Health Care

Statisticians are big participants in pharmacology, as they’re involved with the discovery, testing, approval and marketing of a drug. They may also work in public health for government agencies, where they help to educate on community health matters and to develop preventative treatments and control.

Additionally, statisticians often take on roles in epidemiology, working in fields like nutrition and environmental science to help monitor and report on health-related data. For the World Health Organization, statistical data is considered a “core WHO activity” essential for advocacy and delivery of health initiatives.

Statistics often inform the development of legislation and may also guide in the interpretation of laws. Statisticians may provide expert testimony to court cases involving details such as salary discrepancies, DNA testing, disease clusters, and consumer surveys.

Statistical organizations serving state and federal courts synthesize information that serves to guide policy and procedural matters. For example, the National Center for State Courts has recently addressed questions related to the collection of race and ethnicity data . Data projects like this equip legal systems with critical information to promote equity and accountability.

Applications of statistics affect finance at many levels on a personal and global scale. Individuals use statistics to make decisions in financial planning and budgeting, while organizations are guided by statistics in financial policy decisions.

Banks use statistics to lower risk in lending operations, analyze activity in the financial market, and predict the impact of economic crises. Investors also use stats to understand the risk and potential of certain stocks, which helps them make informed investing decisions.

Digital Marketing

Applied statistics is a driving force in transforming contemporary marketing approaches. The advent of “big data” means that companies are collecting phenomenal amounts of information from consumers. Proactive companies utilize this information to predict sales, glean customer interests, and analyze the effectiveness of marketing initiatives. Applying statistics in everyday life provides a highly targeted, data-driven strategy.

Advertisers in the form of paid search managers monitor ad campaigns based on key performance indicator targets and baselines and analyze data to continually optimize a campaign’s performance. SEO specialists guide companies in understanding how to read and interpret website analytics.

Social Media Analytics

The rise of social media has created an environment where huge numbers of people and organizations are connected in a complex technological framework. In the Netflix film “The Social Dilemma,” statistics experts share what goes on behind social media screens. Everything users are doing online is “being watched,” the documentary explains.

Social media managers monitor organic and paid traffic to social media profiles and analyze data to grow followers, increase engagement and drive conversions. Companies use the data for microtargeting, measuring trends and watching competitors.

Learn More About Our Applied Statistics Program

What Are Applications of Statistics for Your Career?

The role of statistician is one of today’s fastest-growing professions and rated by U.S. News & World Report as #6 in its “100 Best Jobs” list.

According to the Bureau of Labor Statistics, the number of positions for statisticians in the United States is expected to increase by 35% from 2019 to 2029. Salary is commensurate with demand, and the latest BLS numbers show that statisticians earned a median salary of $91,160 in 2019.

Job responsibilities for a statistician include:

• Using statistics to solve problems
• Analyzing and interpreting data
• Developing mathematical and statistical theories

Statistics careers can be found in almost any industry , covering a wide range of positions. Some of today’s top jobs include:

• Statistician
• Data scientist
• Computer and information research scientist
• Senior data analyst
• Data engineer
• Business intelligence analyst
• Senior financial analyst
• Statistics professor

What Are Educational Requirements for a Statistician?

Though stats are used across many fields, specialized positions are only open to individuals with an education in mathematics or statistics, with most requiring a master’s degree. Professionals who earn a master’s degree in applied statistics gain a deeper understanding of how statistical solutions are applied in an organizational context for any industry.

The Michigan Tech online Master of Science in Applied Statistics equips students with expertise such as:

• Advanced statistical methods like predictive modeling, statistical data mining, parametric estimation, model diagnostics and forecasting.
• Integration of statistical tools into emerging technologies.
• Effectively communicating results of statistical analysis.

The MTU applied statistics program is ideal for working professionals, with 100% online coursework. There is no application fee and no GRE/GMAT requirement. There are three start dates each year, and the program is completed with 10 seven-week courses.

How Will You Apply Statistics in Everyday Life?

The importance of data analysis and applied statistics is relevant to nearly every area of our lives. As the field of applied statistics continues to evolve, professionals qualified to lead organizations and governments with data insights will make a significant impact on the lives of generations to come.

Take the next step toward your Master of Science in Applied Statistics at Michigan Tech.

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In today’s data-driven world, the application of statistics in everyday life is an ever-present reality that touches all aspects of society. Learn more in this infographic from <a href=" https://onlinedegrees.mtu.edu ">Michigan Tech Online</a>.<br /><br /><a href="//onlinedegrees.mtu.edu/news/every-number-counts-importance-applied-statistics-our-daily-lives-infographic"><img style="width:100%;" src="//onlinedegrees.mtu.edu/sites/default/files/MTU-statistics-in-everyday-life-infographic.png"></a>

This article is adapted from one originally published March 15, 2019.

The Role of Statistics in Computer Science

The role of statistics in computer science has evolved over the past decade and continues to play a critical part in developing and implementing data-driven technologies.

What’s the Difference Between Data Science and Applied Statistics?

The value of data and professionals with data expertise is growing exponentially.

Why is Statistics Important in Decision-Making?

Effective decision-making is crucial to the success of any business or organization.

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Top 35+ Uses Of Statistics In Our Day to Day Life In 2023

The majority of students think that why they are studying statistics and what are the uses of statistics in our daily life.

They also want to know the importance of statistics in our daily life. Today, I am going to show you what are the uses of statistics in our daily life.

They also have a concern about what is the job scope of statistics. But first, we need to clear the information about what statistics.

There are millions of definitions of statistics. But we would like to give a short and simple definition of statistics.

It will help you to get an idea about what are the uses of statistics in daily life. Statistics is a set of equations that allows us to solve complex problems.

These statistical problems in real life are usually based on facts and figures. Sir Ronald Aylmer Fisher, is known as the father of the modern science of statistics.

On the other hand, if you are looking for statistics homework helper, then don’t worry you can get the best statistics homework help from our experts. So, what are you waiting for get help now!

To understand what is statistics better; let’s have a look at the example below:-

In this pandemic time of covid-19, statistics is used widely. If we need to determine the number of people who got vaccinated and who are left, we use statistics to obtain this data.

While doing the survey, the surveyors collect data from people to people and then convert this data into useful form with the help of statistical calculations.

So, determining the number of vaccinated people and the people who are left can be found by statistics in various regions and countries.

Around 30 crore people got vaccination against covid-19 till July 2021- according to statistics

Let’s Dig into the data about what are the statistical problems in real life.

What is Statistical Problems?

Table of Contents

The statistical problems in real life consist of sampling, inferential statistics, probability, estimating, enabling a team to develop effective projects in a problem-solving frame.

For instance, car manufacturers looking to paint the cars might include a wide range of people that include supervisors, painters, paint representatives, car paint suppliers , or the same professionals to collect the data, which is necessary for the whole process and make it successful.

Statistical problems contain four components-

• Put up the Question
• Collect the data and facts by-polls, studies, and Flatiron School Reviews , etc.
• Analyze the data with different statistical techniques.
• Please find out the result and transmit it to the public.

The current situation of covid-19 is the best example of statistical problems where we need to determine-

• Corona positive cases.
• Recovered people after treatment.
• The number of people who recovered at home.
• People who got vaccinated or not.
• Which vaccinations are best?
• The number of dead people in each village, city, state, and country.
• Side effects of various vaccines.

More questions we need to answer to convey the correct message.

What Are Uses Of Statistics?

Statistics is used in every aspect of life, such as in data science, robotics, business, sports, weather forecasting, and much more.

We have discussed all the top 35+ uses of statistics above.

Apart from this, there are various other fields where statistics concepts are applied like running, calculating the budget, calories count, and much more.

Additionally, statistics help in learning mathematical concepts better.

This is how statistics can be used in each aspect of real life.

What Is The Real World Application Of Statistics?

Statistics is used for the graphical representation of the collected data. Statistics can compare information through median, mean, and mode.

Therefore, statistics concepts can easily be applied to real life, such as for calculating the time to get ready for office, how much money is required to visit work in a month, gymming diet count of a weak, in education, and much more.

Besides this, statistics can be utilized for managing daily routines so that you can work efficiently. 

What Are The Main Functions Of Statistics?

Several functions of statistics can be used in precision to each fact, comparing the values, testing hypotheses, weather forecasting, and much more.

Statistics can help in improving the reasoning skills that are necessary to calculate uncertainty.

To solve all these kinds of problems, students can use the functions of statistics.

Besides this, the function of statistics is used for representing the facts in a definite form.

Basic Uses of Statistics in Our Daily Life

1. government.

The importance of statistics in government is utilized by making judgments about health, populations, education, and much more.

It may help the government to check Which vaccine is assertive for the corona novel virus for the citizens.

What are the progressive reports after vaccination, whether vaccines are useful or not?

For instance, the government can analyze in which areas vaccination is done and know where they need to target, or where cases are increasing day by day with the help of polls.

The governments of different nations are using statistical data to vaccinate the people. As per the data, the availability of vaccines can also be monitored.

2. Weather Forecast

Have you ever seen weather forecasting? Do you know how the government does weather forecasting? Statistics play a crucial role in weather forecasting.

The computer use in weather forecasting is based on a set of statistics functions .

All these statistics function to compare the weather condition with the pre-recorded seasons and conditions. This helps the government.

Let’s take an example of our practical life-

Suppose you are planning a two-day family trip to a hill station and we went there with our family as per the plan.

But it’s been raining continuously for two days. And you did not enjoy your trip.

What will be your reaction?

Definitely, you will be upset rather than being happy.

What is the solution, then?

Don’t worry!

The blend of technology and statistics make it possible to know the weather of a particular place by the graph that indicates it’s a rainy, sunny, normal day.

So, when we plan to travel anywhere, we can check the weather conditions, whether they are normal or not. By doing so, you can save time and energy. It also shows your smartness, of course.

For weather forecasting, predictors use the concept of probability and statistics. They employ several concepts and tools to predict maximum accuracy forecasting.

3. Emergency Preparedness

Statistics is also helpful in emergency preparedness. With the help of statistics, we can predict any natural disaster that may happen shortly.

It will help us to get prepared for an emergency.

It also helps the rescue team to do the preparation to rescue the life of the people who are in danger.

Example : Amid the second wave of the coronavirus, India witnessed two cyclones in May 2021, “Tauktae” and “Yaas” in the Gujarat state and West Bengal, respectively.

The Indian Meteorological Department alerts the citizens before it happens and also announces which places they can affect. All these alerts and announcements they do with the help of statistics.

Another example: Statistics help in disaster management. The response and recovery teams always prefer statistics for getting the population data, services, and infrastructure present in the affected area.

Below is the image that helps you to know how the disaster management team works.

4. Political Campaigns

Statistics are crucial in a political campaign. Without statistics, no one can run a political campaign with perfection.

It helps the politicians to have an idea about how many chances they have to win an election in a particular area.

Statistics also help the news channel to predict the winner of the election.

It also helps the political parties to know how many candidates are in their support in a particular voting zone.

In contrast, it helps the country to predict the future government.

For example, you can see the statistics of how much election candidates have expended in different categories of Political campaigns. 

There are lots of uses of statistics in sports. Every sport requires statistics to make the sport more effective.

Statistics help the sports person to get the idea about his/her performance in the particular sports.

Nowadays sports are utilizing the statistics data to the next level.

However, the reason is a sport is getting more popular and there are various kinds of types of equipment in the sports that are used to collect data of various factor.

Statistics is used to get a conclusion from the given data.

For example, the Tokyo Olympics were postponed because of Covid-19. Statistics help in understanding that the majority of Japanese were affected in the planned Olympics duration. Therefore, they were able to postpone it and reschedule for July 2021.

6. Research

The uses of statistics in research play an essential role in the work of researchers.

For instance, statistics can be applied in data acquisition, analysis, explanation, interpretation, and presentation.

The uses of statistics in research can lead researchers to summarization , proper characterization, performance, and description of the outcome of the research.

Besides this, the medical area would be less effective without the research to recognize which drugs or interventions run best and how the individual groups respond to medicine.

Medical experts also conduct studies by age, race, or country to identify the effect of the features on one’s health.

For example, researchers use statistics to know which country did the most test of Covid-19 and how much people got affected with Covid-19. After this, they work as per the protocols of the WHO. And various labs are made for the research of Corona vaccination development.

The below image is all about how the testing was done in different countries.

7. Education

The beneficial uses of statistics in education are that teachers can be considered to be supportive as researchers during their classrooms to recognize what education technique works on which pupils and know the reason why.

They also need to estimate test details to determine whether students are working expectedly, statistically, or not.

There are statistical studies about student achievement at all levels of testing and education, from kindergarten to a GRE or SAT.

For example, teachers can calculate the average of students’ marks and employ new techniques that can help the students improve their grades.

Statistics help the government to make and modify the policies for e-learning during the pandemic. The below image helps in understanding that parents want to send their children to school as soon as possible.

8. Prediction

The figures help us make predictions about something that is going to happen in the future. Based on what we face in our daily lives, we make predictions.

How accurate this prediction will depend on many factors. When we make a prediction, we take into account the external or internal factors that may affect our future.

When they apply statistical techniques to estimate an event, the same statisticians use it.

Doctors, engineers, artists, and practitioners all use statistics to make predictions about future events.

For example, doctors use statistics to understand the future of the disease.

They can predict the magnitude of the flue in each winter season through the use of data.

Engineers use statistics to estimate the success of their ongoing project, and they also use the data to evaluate how long it will take to complete a project.

For example, now when all the schools and colleges are closed students are studying via online mode, and it is difficult for the children to study online.

In this case, teachers are working hard and trying to teach the children efficiently, and with the help of statistics, they can analyze the performance of the students and can guide them properly.

For example the USA uses the statistics to predict Hubbert’s hypothesis for oil production with the actual oil production. 

9. Predicting Disease

Statistics is even playing a role in the medical field. Statistics help us to know how many numbers of people are suffering from the disease.

It also helps us to understand how many have died from the same disease.

But the best part of statistics is that it also helps you to find out how much you are affected by the deceased.

For example, a study has shown that more than 75% of people are infected with a disease that is caused by mango. In that case, you might avoid mango to avoid this disease.

For example, after the outbreak of covid-19, we already knew the second and third waves of this pandemic, and these are spreading as per the predictions. Hence, you can estimate how statistics are useful for us.

For example, US governments used the statistical chart to understand which disease has affected their people the most. This helps them to find out the cure for those diseases. Also, they became alert to fight the disease in the upcoming years.

10. Quality Testing

Quality testing is another important use of statistics in every area of life.

On a day-to-day basis, we conduct quality tests to ensure that our purchase is correct and get the best results from what we spend.

We do a sample test of what we expect to buy to get the best. If the sample test that we have done passes the quality test, we want to buy it.

Once you are done with the quality testing and proceed to quality improvement, you also need statistics. The quality improvement center is statistical thinking that reflects the capability of decision-making that depends on data. Statistical thinking depends on three main concepts, that are:

11. Insurance

Insurance is a vast industry. There are hundreds of insurance i.e. car insurance, bike, life insurance, and many more.

The premium of insurance is based on the statistics. Insurance companies use the statistics that are collected from various homeowners, drivers, vehicle registration offices, and many more.

They receive the data from all these resources and then decide the premium amount.

Below are some of the statistics concepts that are useful for insurance.

12. Consumer Goods

Statistics are widely used in consumer goods products. The reason is consumer goods are daily used products.

The business use statistics to calculate which consumer goods are available in the store or not.

They also used stats to find out which store needs the consumer goods and when to ship the products.

Even proper statistics decisions are helping the business to make massive revenue on consumer goods.

Suppose a business organization wants to find out the number of potential customers in a specific area, their income level and preferences, statistics help them to do so. Apart from this, any business organization can recognize its competitors and trends in the market.

Below is the image that helped the Indian government to make better policies related to consumer goods. 

13. Financial Market

The financial market completely relies on the statistical figures. All the stock prices calculate with the help of statistics.

It also helps the investor to take the decision of investment in the particular stock.

It also helps the corporate to manage their finance to do long-term business.

For instance, you want to buy the shares of a company, and you do not have an idea about the company, is it good or bad. Different types of statistical calculations such as price to book ratio, price to sale ratio, and price to earnings growth ratio will help you to invest in the right stocks.

Below are some of the statistics concepts that are useful for the finance market.

14. Business Statistics

Each large organization uses business statistics and utilizes various data analysis tools.

For instance, approximating the probability and seeing where sales can be headed in the future.

Several tools are used for business statistics, which are built on the basis of the mean, median, and mode, the bell curve, and bar graphs, and basic probability.

These can be employed for research problems related to employees, products, customer service , and much more.

Business can successfully rely on the things what is working and what is not.

Besides this, statistics are widely used in consumer goods products.

The reason is consumer goods are daily used products. The business use statistics to calculate which consumer goods are available in the store or not.

Below are some of the statistics concepts that are useful for business decision-making.

15. Transportation

We can not overlook the uses of statistics in the transportation field. Statistics results regarding transport (roadways, waterways, and airways) help the government and the nation to build new roads, bridges, waterlines, and airports. 

With the help of statistics, the government can realize where they need to spend the money. They analyze the statistics problems to decide whether they need to construct new infrastructures or mend the old ones. 

Statistical data is always useful for making new policies related to transportation. The below image is helpful to the government for making new transportation rules and regulations.

16. Cryptocurrency

Statistics play an important role in the booming cryptocurrency field. Cryptocurrency is a digital currency. We pay for the goods and services in the form of bitcoins. And determine the exact price of bitcoin is a difficult thing here.

Cryptocurrency has a bright future, and it seems that many investors will invest in this platform in the future. So to evaluate the right price of the bitcoins, statistics is used here. Predicting bitcoin’s price is difficult because it changes from time to time, and statistics help us estimate the price.

Below is an example of how to use the statistics concept of maximum likelihood to calculate the standard error of the cryptocurrency. 

17. Tourism

Tourism contributes to the GDP of any nation. All the countries can generate revenue through tourism. The statistics used in tourism to find out the number of arrivals, departure, expenditure by the tourist, fatal accidents, facilities, etc.

The statistics can calculate all these factors. In addition, statistics help to improve tourism and boost the economy.

Here are the statistics of how the covid-19 had impacted the hotel occupancy rate in 2020. These statistics help to calculate the market revenue of the USA through tourism.

Advanced Uses of Statistics In Real Life

18. computer science.

Statistics is essential for all sections of science, as it is amazingly beneficial for decision-making and examining the correctness of the choices that one has made.

With the application of statistics in computer science and machine learning, algorithms’ efficiency can be increased significantly.

One also can reduce the price of processing with the help of statistics.

If one does not understand statistics, it is not possible to know the logical algorithms and find it challenging to develop them.

Computer scientists need to concentrate on retrieval, reporting, data acquisition/cleaning, and mining.

They are assigned to the algorithms’ improvement and systems efficiency.

Besides this, they focus on machine learning, especially data mining (discovering models and relationships in information for several objectives, like finance and marketing).

Below are the steps on how the data mining process for CS uses statistical concepts.

19. Robotics

Statistics has various uses in the field of nanobots and general robotics. Various techniques can be applied in this field, such as EM, Particle filters, Kalman filters, Bayesian networks, and much more.

The robot always senses the present state by estimating the probability density function value.

With the help of new input sensories, the robots continuously update themselves and give priority to the current actions.

Apart from this, robots can compare the estimated and actual value and act as per the value.

Therefore, it can be stated that statistics is an important parameter that is used in robotics.

Example of how statistics are used in robotics.

Reactive controllers depend on sensors to create robot control. Since the mid-1990s, a new approach has been used for this purpose: probabilistic robotics. 

This approach uses statistics concepts and techniques to integrate imperfect models and sensing seamlessly. Below is an example of how probabilistic robotics are working.

20. Aerospace

Statistics is one of the important parameters on which aerospace engineering works.

There are numerous ways in which statistics are easily implemented, such as details about shrinkage and growth rate for a route.

Apart from this, statistics are used to study traffic decline and growth, the number of accidents due to aerospace failures, etc.

Several airline industries use these statistics information to check how they can work to make a better aerospace future.

Below is an example of statistical numbers of investigations done in 2012-13 on the International Space Station. (Reference: NASA)

21. Data Science

A data scientist uses different statistical techniques to study the collected data, such as Classification, Hypothesis testing, Regression, Time series analysis, and much more.

Data scientists do proper experiments and get desired results using these statistical techniques.

Besides all this, statistics can be utilized for concluding the information quickly and effectively.

Therefore, statistics is one of the helpful measures for data scientists to obtain the relevant outputs of the sample space.

Example of how hypothesis tests and statistical significance is used for data science.

22. Machine Learning

Statistics are utilized for quantifying the uncertainty of the estimated skills within the machine learning models.

These uncertainties are defined with the help of confidence intervals and tolerance intervals.

Statistics can be used for machine learning in various ways, such as for:

• Problem Framing
• Understanding the data
• Data Cleaning
• Selection of data
• Data Preparation
• Model Evaluation
• Model Configuration
• Selection of Model
• Model Presentation
• Model Prediction

Below is the example of machine learning problem framing using the classification method of statistics.

23. Deep Learning

Statistics and probability both are considered methods of handling the aggregation or ignorance of data.

Deep learning can use statistics to get knowledge about abstracting several useful properties and ignorance of the details.

Therefore, it can be seen that statistics and probability are the methods to formalize the deep learning process mathematically.

That is why this can be concluded that statistics are basic for deep learning, and it would be better to understand the use of statistics in deep learning and know it.

For example, it has been seen that Maximum likelihood is not sufficient for accurate and scalable deep learning. Here, we can use the concept of statistical regularisation. 

The term regularization describes the concept of management of complex systems (as per the several rules). These rules support modifying values to solve a problem.

Below is an example of how training set and test set is used for describing why the test set is not used for overfitting the training sets.

24. Understanding Capital Income Of A Nation

Statistics are also used by the World Bank Organization to make a comparative report of each country’s GDP. Moreover, statistics concepts such as ratios, rates, averages, percentages, and others provide the best method for comparing the two or more phenomena. Using these concepts, the organization is able to draw the necessary outcomes or conclusions. 

For example: Suppose we say that a country’s capital income is about $160. This can cause confusion unless the country’s capital income does not compare with another country’s capital income. Now, people can use the concept of average (or other statistics concepts) for calculating the world’s or any country’s GDP using the capital income concepts. This is how the World Bank and other banks employ the uses of statistics.

25. Use In Electric Vehicles

Not only in the major aspects of a country but also in modern technology, there are still some hidden uses of statistics. Like in an electric vehicle, statistical data is used to calculate the speed and battery temperature. During the tests, different temperature observations are done. And it has been noticed that the higher temperature slows down comparatively faster at room temperature.

To improve the battery degradation, there are different statistical approaches that are employed. These include:

• Analysis of the battery condition,
• Identifying and quantifying the variables’ responses,
• Developing the predictive ageing models that depend on the direct relevant recorded factors,
• Reducing the data with the help of information conservation.

This is how car manufacturers prefer to use the statistics concepts. And find the importance of statistics in modern technology.

26. Quantum Computing

It is the computation type that uses quantum states’ collective qualities. It includes interference, superposition, and entanglement for conducting computations.

And there are a number of algebraic manipulations which can speed up the manipulation. Therefore, those statistics used for such manipulations can benefit from quantum computing.

Basically, computing can reduce the estimations’ number with the help of simultaneous analyses. For example, in computing, quantum algorithms are used n bits. And using the method of discrete Fourier transformation, these algorithms easily encode the 2^n elements. After which, the manipulation is done using the n bits over the 2^n components. So, we can say that the uses of statistics are found in almost all spheres of day-to-day life.

10 Uses Of Statistics In Business In 2023

Here are 10 uses of statistics in business in 2023, explained in simple language:

1. Market Research

Statistics help analyze customer preferences and market trends for informed product development and marketing strategies.

2. Sales Forecasting

Statistics predict future sales based on historical data, assisting in setting targets and planning production.

3. Quality Control

Statistics identify product variations or defects, enabling businesses to maintain quality standards.

4. Pricing Analysis

Statistics analyze customer responses to price changes, helping determine optimal pricing strategies.

5. Inventory Management

Statistics forecast product demand, optimizing inventory levels and minimizing costs.

6. Risk Assessment

Statistics assess and manage risks by analyzing historical data and quantifying potential risks.

7. Financial Analysis

Statistics analyze financial data to assess performance and support financial planning.

8. Customer Segmentation

Statistics segment customers based on demographic and behavioral data, enhancing marketing strategies.

9. Decision Making

Statistics provide evidence for evaluating alternatives and making data-driven decisions.

10. Performance Measurement

Statistics measure and evaluate indicators like sales growth and employee productivity, aiding in strategic planning and improvement.

How to Become a Statistician In 8 Simple Steps

If you want to become a statistician, then you just have to follow these 8 simple steps, which are as follows:

1. Education: Get a bachelor’s degree in statistics, mathematics, or a related field.

2. Build A Strong Foundation: Take courses in probability, statistical methods, data analysis, and computer programming.

3. Gain Practical Experience: Get internships or entry-level positions in industries based on statistical analysis, such as healthcare, finance, or research.

4. Develop Technical Skills: Master statistical software and programming languages commonly used in the field, such as R, SAS, Python, or SPSS. Most companies use a data analysis test to screen candidates, so being proficient in the fundamentals will help you reach the final rounds of the hiring process.

5. Certification: Certifications can enhance your credibility and demonstrate your expertise in the field.

6. Job search: Prepare a strong resume highlighting your education, experience, and technical skills. You can use job application automation tool for your job search.

7. Interview preparation: Review common statistical interview questions and practice your responses.

8. Continuous growth: Use new statistical methodologies and technologies.

Career Scope of Statistics You Must Know

• Mathematician. Using existing and newly-developed principles, mathematicians can develop statistical models to analyze data.
• Market Research Analyst .
• Atmospheric Scientist/Meteorologist.
• Statistician .
• Operations Research Analyst.
• Financial Analyst.

Also Read..!!

• Important Key Points On “SAS Vs Stata” by Statistics Experts
• Why Study Statistics | Top Most Reasons to Study Statistics?
• Misuse of Statistics- What Leads to The Misuse of Statistics

Benefits Of Statistics In Our Daily Life

Here are some benefits of statistics in our daily life: 

• Statistical data helps in making informed decisions in various aspects of life.
• Statistics helps in understanding trends and patterns in data.
• It enables us to analyze and interpret information effectively.
• Statistics plays an essential role in research and scientific studies.
• It assists in predicting outcomes and making accurate forecasts.
• Statistics is used in fields such as economics, finance, marketing, and healthcare for data analysis and decision-making.
• It helps in understanding social phenomena and behavior through surveys and polls.
• Statistics helps in evaluating the effectiveness of policies and programs.
• It provides a basis for comparison and benchmarking.
• Statistics helps in identifying and solving problems by providing evidence-based insights.

Topics For Statistics In Real Life Project

Here are some topics for real-life statistics project ideas : 

• Analysis of crime rates in a specific city or region
• Examining the correlation between exercise and heart health
• Investigating the Impact of smoking on lung cancer rates
• Studying the effectiveness of a new drug or medical treatment
• Exploring the factors influencing student performance in Exams
• Analyzing customer satisfaction levels in a specific industry
• Investigating the relationship between unemployment rates and economic growth
• Examining the impact of social media usage on mental health
• Analyzing traffic patterns and congestion in a city
• Studying the factors affecting employee productivity in a workplace
• Investigating the correlation between weather conditions and tourism rates
• Analyzing consumer buying patterns and preferences
• Exploring the relationship between housing prices and location
• Investigating the effectiveness of advertising campaigns on sales.

This blog has provided information about what is statistics, and what are statistical problems in real life.

Now you may be aware of the uses of statistics in daily life. It is nourishing our everyday life and helps us to make effective decisions.

If you are a statistics student and you need statistics homework help or statistics assignment help , then you can contact our experts for help.

They will help you out in clearing your doubts regarding statistics. And help you to make the best statistics assignment.

Frequently Asked Questions

Q1. what skills are required to study statistics.

If you want to study statistics, you need a strong knowledge of mathematical concepts, analytical and logical thinking, reading ability and research potential, etc. In the beginning, it doesn’t seem easy to study statistics, but gradually when you sharpen your concepts, you will feel confident.

Q2. Does the statistics profession have a scope?

Undoubtedly, it is the most valuable profession nowadays. It is a high-paying profession, and as you read earlier about the uses of statistics, you can realize how wide a scope it has. Almost no profession can do better without effective statistics.

Q3. What are the uses of statistics in our daily life?

1. Sports 2. Prediction 3. Weather forecasting 4. Medical Science 5. Sports 6. Education 7. Insurance 8. Governance

Q4. What are the different types of descriptive statistics?

Descriptive statistics are of four types which are as follows:

1. Measure of frequency. 2. Measure of dispersion. 3. Measure of position. 4. Measure of central tendency.

Related Posts

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• Essay on Management

Statistics In Every Day Life Essay Examples

Type of paper: Essay

Topic: Management , Finance , Information , Business , Company , Economics , Industry , Life

Published: 12/05/2019

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Management with Statistics in Life and Business

Statistical information is used in every area of life as we know it. Since life and business is all about management, we must be able to determine the value of our decisions. Statistics is used to measure the results of our decisions. Starting with one point in time and continually looking back to gauge our results, we are able to determine whether the path we are on is one of success or if we need to, possibly, change our approach. A review of where we have been is crucial since no one has the ability to forecast the future. We estimate our future outcome based on past performance.

Statistical information is used in every industry in every part of the world as well as a variety other disciplines. Here are a few that we will look at more closely later. Statistics are used by governments and all businesses including financial institutions. This list demonstrates the variety of disciplines that use statistics: economics, banking, accounting and auditing, natural and social sciences, and astronomy. Each of these areas needs to measure past performance so that future behaviors can be managed in order to give success a better probability of happening. An example from today’s news headlines is how statistical information is being gathered to use in order to correct negative behaviors created by bad regulatory governance and recession.

The international information provided to us in the data sets represents every major industry in our society to date. The top forty-eight economic countries based on Gross Domestic Product (GDP) includes every country that is a member of the Group of 20 (G20). The G20 is a group of twenty finance ministers and central bank governors from twenty major economies which contribute about 85% of the world’s economic growth based on GDP. What you see represented are categories such as petroleum producers, population measurements in 1000s, and percentage of population age 65 and over, average life expectancy, literacy rate, GDP per capita, labor force, unemployment rate, exports, imports, and cell phones. Analysis of the data in these categories helps measure economic feasibility as well as economic contribution by each country.

Real estate information provided here represents the average size and type of homes, including rooms and amenities, as well as how much the real estate was acquired for in price paid in thousands. The measurements here should be used against price. For example, in the first data set you see that this class represents a measure of how many bedrooms, square footage, pool or no pool, distance, township, garage, and number of bathrooms, against how much money you paid for that particular home. In this way you find the statistical average of what you should expect when purchasing a home in that particular area. An average is used since size in area is not easily comparable. If this tool was used as a measurement you would quickly determine if you were getting the deal of a lifetime or if you were being led to one of the worst financial decisions of your life.

Lastly we will look at the global financial data set provided. This information takes into account features about different companies, the economic sector and industry they occupy, their employees by the thousands, their sales in millions, cost of sales in millions, gross profit in millions, gross profit margin in percentage, total taxes in thousands, net income in thousands, return on assets in percentage, and return on investment in percentage. With this data set we are able to look at an array of variables to measure each company against either each other or against one of its competitors which lies within the same sector or industry, based on any one of the variables listed above. Then this could be used as a measurement for industry average or for the strength of a particular sector among a variety of industries.

Each of these data sets is vital to the measurement they represent. The measurement, usually displayed through visuals such as histograms, can portray the performance of variables against one common denominator. This common denominator is usually the point that one is trying to prove or push forward. For example, say you wanted to show the success rate based on production for each of the companies listed in the last data set versus the industry average. The industry average is the common denominator and the company’s performance is shown in relation to that common denominator.

Statistical information is a measurement from a starting point which passes through degrees of measurements moving forward; day, week, month, quarter, or even annual. These measurements are used daily in every part of our lives to evaluate the past and give the best prediction of what the future holds.

Balle, L. 2011. " Decision-Making & Management." Chron.com. SmallBusinessChron.com. n.d. Web. 28 Nov. 2011. Bartholomew, D. J. 1995.What is Statistics? Journal of the Royal Statistical Society. Series A (Statistics in Society).158 (1) 1-20. G20 France 2011. New World of Ideas. www.g20.org n.d. Web. 28 Nov. 2011. http://www.g20.org/about_what_is_g20.aspx "Importance of Statistics in Different Fields." EMathZone www.emathzone.com/ n.d. Web. 28 Nov. 2011. Stiefel, L. 1990. Statistical Analysis for Public and Nonprofit Managers. NY: Praeger pg.169.

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Home — Essay Samples — Science — Statistics — The Importance of Statistics in Modern World

The Importance of Statistics in Modern World

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Published: Aug 16, 2019

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What the data says about abortion in the u.s..

Pew Research Center has conducted many surveys about abortion over the years, providing a lens into Americans’ views on whether the procedure should be legal, among a host of other questions.

In a  Center survey  conducted nearly a year after the Supreme Court’s June 2022 decision that  ended the constitutional right to abortion , 62% of U.S. adults said the practice should be legal in all or most cases, while 36% said it should be illegal in all or most cases. Another survey conducted a few months before the decision showed that relatively few Americans take an absolutist view on the issue .

Find answers to common questions about abortion in America, based on data from the Centers for Disease Control and Prevention (CDC) and the Guttmacher Institute, which have tracked these patterns for several decades:

How many abortions are there in the U.S. each year?

How has the number of abortions in the u.s. changed over time, what is the abortion rate among women in the u.s. how has it changed over time, what are the most common types of abortion, how many abortion providers are there in the u.s., and how has that number changed, what percentage of abortions are for women who live in a different state from the abortion provider, what are the demographics of women who have had abortions, when during pregnancy do most abortions occur, how often are there medical complications from abortion.

This compilation of data on abortion in the United States draws mainly from two sources: the Centers for Disease Control and Prevention (CDC) and the Guttmacher Institute, both of which have regularly compiled national abortion data for approximately half a century, and which collect their data in different ways.

The CDC data that is highlighted in this post comes from the agency’s “abortion surveillance” reports, which have been published annually since 1974 (and which have included data from 1969). Its figures from 1973 through 1996 include data from all 50 states, the District of Columbia and New York City – 52 “reporting areas” in all. Since 1997, the CDC’s totals have lacked data from some states (most notably California) for the years that those states did not report data to the agency. The four reporting areas that did not submit data to the CDC in 2021 – California, Maryland, New Hampshire and New Jersey – accounted for approximately 25% of all legal induced abortions in the U.S. in 2020, according to Guttmacher’s data. Most states, though,  do  have data in the reports, and the figures for the vast majority of them came from each state’s central health agency, while for some states, the figures came from hospitals and other medical facilities.

Discussion of CDC abortion data involving women’s state of residence, marital status, race, ethnicity, age, abortion history and the number of previous live births excludes the low share of abortions where that information was not supplied. Read the methodology for the CDC’s latest abortion surveillance report , which includes data from 2021, for more details. Previous reports can be found at  stacks.cdc.gov  by entering “abortion surveillance” into the search box.

For the numbers of deaths caused by induced abortions in 1963 and 1965, this analysis looks at reports by the then-U.S. Department of Health, Education and Welfare, a precursor to the Department of Health and Human Services. In computing those figures, we excluded abortions listed in the report under the categories “spontaneous or unspecified” or as “other.” (“Spontaneous abortion” is another way of referring to miscarriages.)

Guttmacher data in this post comes from national surveys of abortion providers that Guttmacher has conducted 19 times since 1973. Guttmacher compiles its figures after contacting every known provider of abortions – clinics, hospitals and physicians’ offices – in the country. It uses questionnaires and health department data, and it provides estimates for abortion providers that don’t respond to its inquiries. (In 2020, the last year for which it has released data on the number of abortions in the U.S., it used estimates for 12% of abortions.) For most of the 2000s, Guttmacher has conducted these national surveys every three years, each time getting abortion data for the prior two years. For each interim year, Guttmacher has calculated estimates based on trends from its own figures and from other data.

The latest full summary of Guttmacher data came in the institute’s report titled “Abortion Incidence and Service Availability in the United States, 2020.” It includes figures for 2020 and 2019 and estimates for 2018. The report includes a methods section.

In addition, this post uses data from StatPearls, an online health care resource, on complications from abortion.

An exact answer is hard to come by. The CDC and the Guttmacher Institute have each tried to measure this for around half a century, but they use different methods and publish different figures.

The last year for which the CDC reported a yearly national total for abortions is 2021. It found there were 625,978 abortions in the District of Columbia and the 46 states with available data that year, up from 597,355 in those states and D.C. in 2020. The corresponding figure for 2019 was 607,720.

The last year for which Guttmacher reported a yearly national total was 2020. It said there were 930,160 abortions that year in all 50 states and the District of Columbia, compared with 916,460 in 2019.

• How the CDC gets its data: It compiles figures that are voluntarily reported by states’ central health agencies, including separate figures for New York City and the District of Columbia. Its latest totals do not include figures from California, Maryland, New Hampshire or New Jersey, which did not report data to the CDC. ( Read the methodology from the latest CDC report .)
• How Guttmacher gets its data: It compiles its figures after contacting every known abortion provider – clinics, hospitals and physicians’ offices – in the country. It uses questionnaires and health department data, then provides estimates for abortion providers that don’t respond. Guttmacher’s figures are higher than the CDC’s in part because they include data (and in some instances, estimates) from all 50 states. ( Read the institute’s latest full report and methodology .)

While the Guttmacher Institute supports abortion rights, its empirical data on abortions in the U.S. has been widely cited by  groups  and  publications  across the political spectrum, including by a  number of those  that  disagree with its positions .

These estimates from Guttmacher and the CDC are results of multiyear efforts to collect data on abortion across the U.S. Last year, Guttmacher also began publishing less precise estimates every few months , based on a much smaller sample of providers.

The figures reported by these organizations include only legal induced abortions conducted by clinics, hospitals or physicians’ offices, or those that make use of abortion pills dispensed from certified facilities such as clinics or physicians’ offices. They do not account for the use of abortion pills that were obtained  outside of clinical settings .

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The annual number of U.S. abortions rose for years after Roe v. Wade legalized the procedure in 1973, reaching its highest levels around the late 1980s and early 1990s, according to both the CDC and Guttmacher. Since then, abortions have generally decreased at what a CDC analysis called  “a slow yet steady pace.”

Guttmacher says the number of abortions occurring in the U.S. in 2020 was 40% lower than it was in 1991. According to the CDC, the number was 36% lower in 2021 than in 1991, looking just at the District of Columbia and the 46 states that reported both of those years.

(The corresponding line graph shows the long-term trend in the number of legal abortions reported by both organizations. To allow for consistent comparisons over time, the CDC figures in the chart have been adjusted to ensure that the same states are counted from one year to the next. Using that approach, the CDC figure for 2021 is 622,108 legal abortions.)

There have been occasional breaks in this long-term pattern of decline – during the middle of the first decade of the 2000s, and then again in the late 2010s. The CDC reported modest 1% and 2% increases in abortions in 2018 and 2019, and then, after a 2% decrease in 2020, a 5% increase in 2021. Guttmacher reported an 8% increase over the three-year period from 2017 to 2020.

As noted above, these figures do not include abortions that use pills obtained outside of clinical settings.

Guttmacher says that in 2020 there were 14.4 abortions in the U.S. per 1,000 women ages 15 to 44. Its data shows that the rate of abortions among women has generally been declining in the U.S. since 1981, when it reported there were 29.3 abortions per 1,000 women in that age range.

The CDC says that in 2021, there were 11.6 abortions in the U.S. per 1,000 women ages 15 to 44. (That figure excludes data from California, the District of Columbia, Maryland, New Hampshire and New Jersey.) Like Guttmacher’s data, the CDC’s figures also suggest a general decline in the abortion rate over time. In 1980, when the CDC reported on all 50 states and D.C., it said there were 25 abortions per 1,000 women ages 15 to 44.

That said, both Guttmacher and the CDC say there were slight increases in the rate of abortions during the late 2010s and early 2020s. Guttmacher says the abortion rate per 1,000 women ages 15 to 44 rose from 13.5 in 2017 to 14.4 in 2020. The CDC says it rose from 11.2 per 1,000 in 2017 to 11.4 in 2019, before falling back to 11.1 in 2020 and then rising again to 11.6 in 2021. (The CDC’s figures for those years exclude data from California, D.C., Maryland, New Hampshire and New Jersey.)

The CDC broadly divides abortions into two categories: surgical abortions and medication abortions, which involve pills. Since the Food and Drug Administration first approved abortion pills in 2000, their use has increased over time as a share of abortions nationally, according to both the CDC and Guttmacher.

The majority of abortions in the U.S. now involve pills, according to both the CDC and Guttmacher. The CDC says 56% of U.S. abortions in 2021 involved pills, up from 53% in 2020 and 44% in 2019. Its figures for 2021 include the District of Columbia and 44 states that provided this data; its figures for 2020 include D.C. and 44 states (though not all of the same states as in 2021), and its figures for 2019 include D.C. and 45 states.

Guttmacher, which measures this every three years, says 53% of U.S. abortions involved pills in 2020, up from 39% in 2017.

Two pills commonly used together for medication abortions are mifepristone, which, taken first, blocks hormones that support a pregnancy, and misoprostol, which then causes the uterus to empty. According to the FDA, medication abortions are safe  until 10 weeks into pregnancy.

Surgical abortions conducted  during the first trimester  of pregnancy typically use a suction process, while the relatively few surgical abortions that occur  during the second trimester  of a pregnancy typically use a process called dilation and evacuation, according to the UCLA School of Medicine.

In 2020, there were 1,603 facilities in the U.S. that provided abortions,  according to Guttmacher . This included 807 clinics, 530 hospitals and 266 physicians’ offices.

While clinics make up half of the facilities that provide abortions, they are the sites where the vast majority (96%) of abortions are administered, either through procedures or the distribution of pills, according to Guttmacher’s 2020 data. (This includes 54% of abortions that are administered at specialized abortion clinics and 43% at nonspecialized clinics.) Hospitals made up 33% of the facilities that provided abortions in 2020 but accounted for only 3% of abortions that year, while just 1% of abortions were conducted by physicians’ offices.

Looking just at clinics – that is, the total number of specialized abortion clinics and nonspecialized clinics in the U.S. – Guttmacher found the total virtually unchanged between 2017 (808 clinics) and 2020 (807 clinics). However, there were regional differences. In the Midwest, the number of clinics that provide abortions increased by 11% during those years, and in the West by 6%. The number of clinics  decreased  during those years by 9% in the Northeast and 3% in the South.

The total number of abortion providers has declined dramatically since the 1980s. In 1982, according to Guttmacher, there were 2,908 facilities providing abortions in the U.S., including 789 clinics, 1,405 hospitals and 714 physicians’ offices.

The CDC does not track the number of abortion providers.

In the District of Columbia and the 46 states that provided abortion and residency information to the CDC in 2021, 10.9% of all abortions were performed on women known to live outside the state where the abortion occurred – slightly higher than the percentage in 2020 (9.7%). That year, D.C. and 46 states (though not the same ones as in 2021) reported abortion and residency data. (The total number of abortions used in these calculations included figures for women with both known and unknown residential status.)

The share of reported abortions performed on women outside their state of residence was much higher before the 1973 Roe decision that stopped states from banning abortion. In 1972, 41% of all abortions in D.C. and the 20 states that provided this information to the CDC that year were performed on women outside their state of residence. In 1973, the corresponding figure was 21% in the District of Columbia and the 41 states that provided this information, and in 1974 it was 11% in D.C. and the 43 states that provided data.

In the District of Columbia and the 46 states that reported age data to  the CDC in 2021, the majority of women who had abortions (57%) were in their 20s, while about three-in-ten (31%) were in their 30s. Teens ages 13 to 19 accounted for 8% of those who had abortions, while women ages 40 to 44 accounted for about 4%.

The vast majority of women who had abortions in 2021 were unmarried (87%), while married women accounted for 13%, according to  the CDC , which had data on this from 37 states.

In the District of Columbia, New York City (but not the rest of New York) and the 31 states that reported racial and ethnic data on abortion to  the CDC , 42% of all women who had abortions in 2021 were non-Hispanic Black, while 30% were non-Hispanic White, 22% were Hispanic and 6% were of other races.

Looking at abortion rates among those ages 15 to 44, there were 28.6 abortions per 1,000 non-Hispanic Black women in 2021; 12.3 abortions per 1,000 Hispanic women; 6.4 abortions per 1,000 non-Hispanic White women; and 9.2 abortions per 1,000 women of other races, the  CDC reported  from those same 31 states, D.C. and New York City.

For 57% of U.S. women who had induced abortions in 2021, it was the first time they had ever had one,  according to the CDC.  For nearly a quarter (24%), it was their second abortion. For 11% of women who had an abortion that year, it was their third, and for 8% it was their fourth or more. These CDC figures include data from 41 states and New York City, but not the rest of New York.

Nearly four-in-ten women who had abortions in 2021 (39%) had no previous live births at the time they had an abortion,  according to the CDC . Almost a quarter (24%) of women who had abortions in 2021 had one previous live birth, 20% had two previous live births, 10% had three, and 7% had four or more previous live births. These CDC figures include data from 41 states and New York City, but not the rest of New York.

The vast majority of abortions occur during the first trimester of a pregnancy. In 2021, 93% of abortions occurred during the first trimester – that is, at or before 13 weeks of gestation,  according to the CDC . An additional 6% occurred between 14 and 20 weeks of pregnancy, and about 1% were performed at 21 weeks or more of gestation. These CDC figures include data from 40 states and New York City, but not the rest of New York.

About 2% of all abortions in the U.S. involve some type of complication for the woman , according to an article in StatPearls, an online health care resource. “Most complications are considered minor such as pain, bleeding, infection and post-anesthesia complications,” according to the article.

The CDC calculates  case-fatality rates for women from induced abortions – that is, how many women die from abortion-related complications, for every 100,000 legal abortions that occur in the U.S .  The rate was lowest during the most recent period examined by the agency (2013 to 2020), when there were 0.45 deaths to women per 100,000 legal induced abortions. The case-fatality rate reported by the CDC was highest during the first period examined by the agency (1973 to 1977), when it was 2.09 deaths to women per 100,000 legal induced abortions. During the five-year periods in between, the figure ranged from 0.52 (from 1993 to 1997) to 0.78 (from 1978 to 1982).

The CDC calculates death rates by five-year and seven-year periods because of year-to-year fluctuation in the numbers and due to the relatively low number of women who die from legal induced abortions.

In 2020, the last year for which the CDC has information , six women in the U.S. died due to complications from induced abortions. Four women died in this way in 2019, two in 2018, and three in 2017. (These deaths all followed legal abortions.) Since 1990, the annual number of deaths among women due to legal induced abortion has ranged from two to 12.

The annual number of reported deaths from induced abortions (legal and illegal) tended to be higher in the 1980s, when it ranged from nine to 16, and from 1972 to 1979, when it ranged from 13 to 63. One driver of the decline was the drop in deaths from illegal abortions. There were 39 deaths from illegal abortions in 1972, the last full year before Roe v. Wade. The total fell to 19 in 1973 and to single digits or zero every year after that. (The number of deaths from legal abortions has also declined since then, though with some slight variation over time.)

The number of deaths from induced abortions was considerably higher in the 1960s than afterward. For instance, there were 119 deaths from induced abortions in  1963  and 99 in  1965 , according to reports by the then-U.S. Department of Health, Education and Welfare, a precursor to the Department of Health and Human Services. The CDC is a division of Health and Human Services.

Note: This is an update of a post originally published May 27, 2022, and first updated June 24, 2022.

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Key facts about the abortion debate in America

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About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .