NYC Data Science Academy| Blog
Bootcamps
Lifetime Job Support Available Financing Available
Bootcamps
Data Science with Machine Learning Flagship ๐Ÿ† Data Analytics Bootcamp Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lesson
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories Testimonials Alumni Directory Alumni Exclusive Study Program
Courses
View Bundled Courses
Financing Available
Bootcamp Prep Popular ๐Ÿ”ฅ Data Science Mastery Data Science Launchpad with Python View AI Courses Generative AI for Everyone New ๐ŸŽ‰ Generative AI for Finance New ๐ŸŽ‰ Generative AI for Marketing New ๐ŸŽ‰
Bundle Up
Learn More and Save More
Combination of data science courses.
View Data Science Courses
Beginner
Introductory Python
Intermediate
Data Science Python: Data Analysis and Visualization Popular ๐Ÿ”ฅ Data Science R: Data Analysis and Visualization
Advanced
Data Science Python: Machine Learning Popular ๐Ÿ”ฅ Data Science R: Machine Learning Designing and Implementing Production MLOps New ๐ŸŽ‰ Natural Language Processing for Production (NLP) New ๐ŸŽ‰
Find Inspiration
Get Course Recommendation Must Try ๐Ÿ’Ž An Ultimate Guide to Become a Data Scientist
For Companies
For Companies
Corporate Offerings Hiring Partners Candidate Portfolio Hire Our Graduates
Students Work
Students Work
All Posts Capstone Data Visualization Machine Learning Python Projects R Projects
Tutorials
About
About
About Us Accreditation Contact Us Join Us FAQ Webinars Subscription An Ultimate Guide to
Become a Data Scientist
    Login
NYC Data Science Acedemy
Bootcamps
Courses
Students Work
About
Bootcamps
Bootcamps
Data Science with Machine Learning Flagship
Data Analytics Bootcamp
Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lessons
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook
Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories
Testimonials
Alumni Directory
Alumni Exclusive Study Program
Courses
Bundles
financing available
View All Bundles
Bootcamp Prep
Data Science Mastery
Data Science Launchpad with Python NEW!
View AI Courses
Generative AI for Everyone
Generative AI for Finance
Generative AI for Marketing
View Data Science Courses
View All Professional Development Courses
Beginner
Introductory Python
Intermediate
Python: Data Analysis and Visualization
R: Data Analysis and Visualization
Advanced
Python: Machine Learning
R: Machine Learning
Designing and Implementing Production MLOps
Natural Language Processing for Production (NLP)
For Companies
Corporate Offerings
Hiring Partners
Candidate Portfolio
Hire Our Graduates
Students Work
All Posts
Capstone
Data Visualization
Machine Learning
Python Projects
R Projects
About
Accreditation
About Us
Contact Us
Join Us
FAQ
Webinars
Subscription
An Ultimate Guide to Become a Data Scientist
Tutorials
Data Analytics
  • Learn Pandas
  • Learn NumPy
  • Learn SciPy
  • Learn Matplotlib
Machine Learning
  • Boosting
  • Random Forest
  • Linear Regression
  • Decision Tree
  • PCA
Interview by Companies
  • JPMC
  • Google
  • Facebook
Artificial Intelligence
  • Learn Generative AI
  • Learn ChatGPT-3.5
  • Learn ChatGPT-4
  • Learn Google Bard
Coding
  • Learn Python
  • Learn SQL
  • Learn MySQL
  • Learn NoSQL
  • Learn PySpark
  • Learn PyTorch
Interview Questions
  • Python Hard
  • R Easy
  • R Hard
  • SQL Easy
  • SQL Hard
  • Python Easy
Data Science Blog > R > Data Study on United States Population Projections

Data Study on United States Population Projections

Denis Nguyen
Posted on May 15, 2016
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Contributed by Denis Nguyen. He is currently in the NYC Data Science Academy 12 week full-time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based on his second class project - R Shiny (due on the 4th week of the program).

The U.S. Census, mandated by the Constitution, takes place every 10 years in order to count every resident in the United States. This data is used to determine the number of seats each state has in the U.S. House of Representatives and to distribute public funds to local communities for educational programs, health care, law enforcement and highways. Participating in the decennial census is a civic duty and refusing to do so could lead to a fine of up to $5,000.

The most recent census took place in 2010, with the next one planned for 2020. The 2010 Census was the largest one ever performed, with over 70 percent of households returning responses. While this information is useful for the government, it can also be useful for marketing companies and other organizations with target audiences. Equipped with population demographics, marketing companies know where to focus their efforts to yield the maximum return.

Objective

With this interest in mind, I wanted to know how the population was changing and the different rates at which race/ethnic groups were changing. In order to visualize these changes, I designed an app that allows users to see population projections made by the U.S. Census Bureau for the next 45 years.

Have fun exploring the app and see what insights you can glean.

 

The Data

The data was obtained from the United States Census Bureau and projections were produced using information from the 2010 Census and a cohort-component method. These projections are updated periodically in order to reflect the changing factors that affect population growth and data displayed by the app was based on the projections made in 2014. The data contained projections up to 2060 and studied differences in births, deaths, migration, gender, and race/ethnicity.

The data had to be reorganized because some files had a column labeled "Hispanic origin" while other files had those choices under the race/ethnicity column. In order to keep the information easier to analyze, population count for Hispanic/Non-Hispanic origin was calculated and placed under the same column as the other races and ethnicities.

 

The App's Data 

The app has five tab that allow users to visualize and examine the projected populations. The app was initially planned to display all the information in one graph, giving users the ability to change multiple parameters at a time but the number of options was overwhelming so three tabs were created. This allows users to focus on different aspects of the population demographics without being lost in the options.

Insight into Population

The first section allows the comparison of the total population, births, deaths, and net migration inside a population. The user is able to pick a race/ethnicity and gender, and juxtapose rates of births, deaths, migrations, and total population to see the differences.

This set up makes it easier for users to find interesting crossovers of birth rate and death rate and compare how migration rate may contrast. A slider also enables users to focus on specific years, zooming into the graph so that they can see specific places of crossing over. Hovering over points on the graphs will give users exact numbers and clicking on a point will temporarily outline it until another point is clicked.

-Data Study on United States Population Projections

Insight into Gender

The second section is similar to the first but differs in focus. It allows users to compare how population may differ between males and females of a specific race/ethnicity. Users can not only compare the total population, but can also look at how birth rates, death rates, and migration rates may differ between genders.

-Data Study on United States Population Projections

Insight into Race

The third section concentrates on the differences among population projections of different races/ethnicities. By removing the "All" option, users can highlight the groups of interest in order to view the differences in growth rate and when some groups may peak or decline in numbers.

Data Study on United States Population Projections

Map of the United States

This section exhibits the percent change and total change by state. The darker colors represent states that have a higher increase in population while lighter colors represent little population growth. The slider can be shifted to see the population change between two different years and users can hover over each state to get the exact percent/absolute change. The title of the map changes accordingly to reflect the chosen parameters so that users understand what the map is displaying.

-Change

Different Projections

This section displays the U.S. Census Bureau total population projections made in three different years. Users can toggle on and off projection lines, as well as use the slider to zoom into the years of interest to get a better picture of differences. These projections are made by considering factors affecting population growth and are periodically updated to reflect changes.

-Projections

Conclusion

This app can be used to understand how the population of the United States is changing and the direction in which it will shift in the following years. Although we expect the population to increase, it is interesting to see where most of the growth is coming from. Some interesting finds include:

  • Immigrants currently make up approximately 30% of the population increase (births + net migration) and is projected to continue well into 2060, contributing 25% of the increase
  • In 2051, the birth rate for multiracial individuals is expected to be double the rate in 2014
  • Immigrants are the largest contribution to the increasing Asian population
  • It is projected that in 2036, the number of deaths will exceed the number of births in the Caucasian population, but population will continue to increase due to immigration
  • The population of white females presently exceeds the population of white males; however, this is expected to change in 2050

Future

With insights attained from this app, marketing companies can identify potential and unsaturated markets and cater to those groups. Even if you don't work for a marketing company, these trends could help you decide where to buy your next house. If you're looking for a populated area, consider moving to California where there is a projected high population increase.

If a home in a quiet and peaceful area is more of your liking, consider less-populated states such as West Virginia that are expected to have a decreasing population. There is information to be extracted from this app and when combined with additional information collected by the U.S. Census Bureau, it can be a powerful tool.

Enjoy exploring the app and see what interesting trends you uncover. Maybe you'll find your next conversation starter.

The code for this project can be found on GitHub.

About Author

Denis Nguyen

With a background in biomedical engineering and health sciences, Denis has a passion for finding patterns and optimizing processes. He developed his interest for data analysis while doing research on the effects of childhood obesity on bone development...
View all posts by Denis Nguyen >

Leave a Comment

Cancel reply

You must be logged in to post a comment.

No comments found.

View Posts by Categories

All Posts 2399 posts
AI 7 posts
AI Agent 2 posts
AI-based hotel recommendation 1 posts
AIForGood 1 posts
Alumni 60 posts
Animated Maps 1 posts
APIs 41 posts
Artificial Intelligence 2 posts
Artificial Intelligence 2 posts
AWS 13 posts
Banking 1 posts
Big Data 50 posts
Branch Analysis 1 posts
Capstone 206 posts
Career Education 7 posts
CLIP 1 posts
Community 72 posts
Congestion Zone 1 posts
Content Recommendation 1 posts
Cosine SImilarity 1 posts
Data Analysis 5 posts
Data Engineering 1 posts
Data Engineering 3 posts
Data Science 7 posts
Data Science News and Sharing 73 posts
Data Visualization 324 posts
Events 5 posts
Featured 37 posts
Function calling 1 posts
FutureTech 1 posts
Generative AI 5 posts
Hadoop 13 posts
Image Classification 1 posts
Innovation 2 posts
Kmeans Cluster 1 posts
LLM 6 posts
Machine Learning 364 posts
Marketing 1 posts
Meetup 144 posts
MLOPs 1 posts
Model Deployment 1 posts
Nagamas69 1 posts
NLP 1 posts
OpenAI 5 posts
OpenNYC Data 1 posts
pySpark 1 posts
Python 16 posts
Python 458 posts
Python data analysis 4 posts
Python Shiny 2 posts
R 404 posts
R Data Analysis 1 posts
R Shiny 560 posts
R Visualization 445 posts
RAG 1 posts
RoBERTa 1 posts
semantic rearch 2 posts
Spark 17 posts
SQL 1 posts
Streamlit 2 posts
Student Works 1687 posts
Tableau 12 posts
TensorFlow 3 posts
Traffic 1 posts
User Preference Modeling 1 posts
Vector database 2 posts
Web Scraping 483 posts
wukong138 1 posts

Our Recent Popular Posts

AI 4 AI: ChatGPT Unifies My Blog Posts
by Vinod Chugani
Dec 18, 2022
Meet Your Machine Learning Mentors: Kyle Gallatin
by Vivian Zhang
Nov 4, 2020
NICU Admissions and CCHD: Predicting Based on Data Analysis
by Paul Lee, Aron Berke, Bee Kim, Bettina Meier and Ira Villar
Jan 7, 2020

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day ChatGPT citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay football gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income industry Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI

NYC Data Science Academy

NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.

NYC Data Science Academy is licensed by New York State Education Department.

Get detailed curriculum information about our
amazing bootcamp!

Please enter a valid email address
Sign up completed. Thank you!

Offerings

  • HOME
  • DATA SCIENCE BOOTCAMP
  • ONLINE DATA SCIENCE BOOTCAMP
  • Professional Development Courses
  • CORPORATE OFFERINGS
  • HIRING PARTNERS
  • About

  • About Us
  • Alumni
  • Blog
  • FAQ
  • Contact Us
  • Refund Policy
  • Join Us
  • SOCIAL MEDIA

    ยฉ 2025 NYC Data Science Academy
    All rights reserved. | Site Map
    Privacy Policy | Terms of Service
    Bootcamp Application