Data USA
MenuExplore, map, compare, and download U. S. dataSearchViz BuilderDepartment of Interior Spending by StateOpioid Deaths by CountyAdmissions for Universities in the Boston Metro AreaDefault Rate by StateForeign-Born Citizens by StateView BuilderCities & PlacesCongressional District 5, GACongressional District 50, CACongressional District 4, TXCongressional District 11, NCCongressional District 1, OH36, 911 moreIndustriesSpectator sportsAir transportationChild day care servicesRestaurants & Food ServicesMilitary Reserves or National Guard314 moreJobsPolice officersEmergency medical technicians & paramedicsElementary & middle school teachersRetail salespersonsChildcare workers659 moreUniversitiesMassachusetts Institute of TechnologyUniversity of Maryland-College ParkUniversity of Notre DameUniversity of ChicagoNortheastern University7, 190 moreDegreesEmergency Room NursingCorrectionsProject ManagementImmunologyCriminal Justice – Police Science2, 314 moreData CartFederal Agency Spending by StateAverage Wage for JobsAdult Smoking by StatePopulation by CountyMedian Property Value by CountyView CartLatest StoriesPhysicians earn top Medicare payments caring for Sunshine State seniorsThe hardest-working people in AmericaHow far does damage from opioid addiction extend? Poverty is bad for your healthThe evolution of the American worker14 moreViz BuilderDepartment of Interior Spending by StateOpioid Deaths by CountyAdmissions for Universities in the Boston Metro AreaDefault Rate by StateForeign-Born Citizens by StateView BuilderCities & PlacesCongressional District 5, GACongressional District 50, CACongressional District 4, TXCongressional District 11, NCCongressional District 1, OH36, 911 moreIndustriesSpectator sportsAir transportationChild day care servicesRestaurants & Food ServicesMilitary Reserves or National Guard314 moreJobsPolice officersEmergency medical technicians & paramedicsElementary & middle school teachersRetail salespersonsChildcare workers659 moreUniversitiesMassachusetts Institute of TechnologyUniversity of Maryland-College ParkUniversity of Notre DameUniversity of ChicagoNortheastern University7, 190 moreDegreesEmergency Room NursingCorrectionsProject ManagementImmunologyCriminal Justice – Police Science2, 314 moreData CartFederal Agency Spending by StateAverage Wage for JobsAdult Smoking by StatePopulation by CountyMedian Property Value by CountyView CartLatest StoriesPhysicians earn top Medicare payments caring for Sunshine State seniorsThe hardest-working people in AmericaHow far does damage from opioid addiction extend? Poverty is bad for your healthThe evolution of the American worker14 moreCOVID-19 in Numbers
Data USA
MenuExplore, map, compare, and download U. S. dataSearchViz BuilderDepartment of Interior Spending by StateOpioid Deaths by CountyAdmissions for Universities in the Boston Metro AreaDefault Rate by StateForeign-Born Citizens by StateView BuilderCities & PlacesCongressional District 5, GACongressional District 50, CACongressional District 4, TXCongressional District 11, NCCongressional District 1, OH36, 911 moreIndustriesSpectator sportsAir transportationChild day care servicesRestaurants & Food ServicesMilitary Reserves or National Guard314 moreJobsPolice officersEmergency medical technicians & paramedicsElementary & middle school teachersRetail salespersonsChildcare workers659 moreUniversitiesMassachusetts Institute of TechnologyUniversity of Maryland-College ParkUniversity of Notre DameUniversity of ChicagoNortheastern University7, 190 moreDegreesEmergency Room NursingCorrectionsProject ManagementImmunologyCriminal Justice – Police Science2, 314 moreData CartFederal Agency Spending by StateAverage Wage for JobsAdult Smoking by StatePopulation by CountyMedian Property Value by CountyView CartLatest StoriesPhysicians earn top Medicare payments caring for Sunshine State seniorsThe hardest-working people in AmericaHow far does damage from opioid addiction extend? Poverty is bad for your healthThe evolution of the American worker14 moreViz BuilderDepartment of Interior Spending by StateOpioid Deaths by CountyAdmissions for Universities in the Boston Metro AreaDefault Rate by StateForeign-Born Citizens by StateView BuilderCities & PlacesCongressional District 5, GACongressional District 50, CACongressional District 4, TXCongressional District 11, NCCongressional District 1, OH36, 911 moreIndustriesSpectator sportsAir transportationChild day care servicesRestaurants & Food ServicesMilitary Reserves or National Guard314 moreJobsPolice officersEmergency medical technicians & paramedicsElementary & middle school teachersRetail salespersonsChildcare workers659 moreUniversitiesMassachusetts Institute of TechnologyUniversity of Maryland-College ParkUniversity of Notre DameUniversity of ChicagoNortheastern University7, 190 moreDegreesEmergency Room NursingCorrectionsProject ManagementImmunologyCriminal Justice – Police Science2, 314 moreData CartFederal Agency Spending by StateAverage Wage for JobsAdult Smoking by StatePopulation by CountyMedian Property Value by CountyView CartLatest StoriesPhysicians earn top Medicare payments caring for Sunshine State seniorsThe hardest-working people in AmericaHow far does damage from opioid addiction extend? Poverty is bad for your healthThe evolution of the American worker14 moreCOVID-19 in Numbers
Data USA Review for Teachers | Common Sense Education
Website review by Kristina Duncan, Common Sense Education |
Updated May 2017
Elegant treasure trove of data could fuel lessons and projects
Privacy rating
Not yet rated
Expert evaluation by Common Sense
Subjects & Skills
Math, Science, Social Studies
Pros: The data is extensive, relevant, and interesting, and it’s presented in a way that’s easy to read and understand.
Cons: While extensive, there are still limitations — you won’t find data for all industries, occupations, cities, schools, or other countries.
Bottom Line: An efficient research tool that makes it easier to incorporate stats into a host of lessons or projects focusing on the U. S.
How Can I Teach with This Tool?
What Is It?
Is It Good for Learning?
One way to kick off Data USA in your classroom is to have students explore one specific data set (for instance, looking at poverty rates on the Maps feature). Task students with finding something they think is interesting about the data, and then have them draft a question they’d like to explore based on what they found.
That’s only the tip of the iceberg, though. Teachers from many subject areas can find uses for Data USA, whether they be in social studies, science, math, or career planning. Social studies, government, and economics teachers will like it for projects or discussions related to U. S. demographics, economics, and government indicators. Science and math teachers can get students to practice graph interpretation, map analysis, and statistical calculations. The occupation and education research pages are ideal for college and career planning research — never too early for students to start this! Teachers will like that they can download any of the graphs, embed graphs on their websites, or share via social media (if they use this with students). The site seems like an ideal resource for a cross-curricular project in social studies, science, and math.
Continue reading
Show less
Data USA was not designed for classrooms necessarily, but teachers and students will find its super-easy search functions and simple visualizations useful to teach statistics and data analysis; to kick off research projects; or to supplement lessons on a range of content with real and relevant statistics. All graphs have interactive keys and rollover info that displays data and margin of error. Users can find explanations of various stat calculations (including some formulas). You also have the option to see data tables and link to the data sources used to make each graph. Students will be able to look at two data sets side by side using the Add Comparison button. All these features make this site a reliable and easy-to-use research tool that is great for all students, including visual learners and English learners. Still, don’t expect any plug-and-play lessons or classroom-specific support, and, while there’s tons here to explore, the data is limited to the U. S.
Learning Rating
With a little guidance, students will enjoy digging into the data and find interesting stats about various U. topics. Teachers can find many tidbits to spruce up presentations, activities, or discussions.
The sleek design makes digging into this trove of research a breeze. All the stats are clearly laid out, accompanied by colorful graphs or maps so students don’t have to wade through a lot of text or tables to find useful data.
There’s some explanation of stats and links to the original sources but no lessons. Teachers can embed graphs on websites or share them via social media. Great site for diverse learners as the text and visuals are clear and simple.
Statistics And a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I? ” is not a statistical question, but “How old are the students in my school? ” is a statistical question because one anticipates variability in students’ ages.
that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.
that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
numerical data in plots on a number line, including dot plots, histograms, and box plots.
numerical data sets in relation to their context, such as by:
the number of observations.
the nature of the attribute under investigation, including how it was measured and its units of measurement.
quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.
that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.
that the probability of a chance event is a number between 0 and 1 that expresses the likelihood of the event occurring. Larger numbers indicate greater likelihood. A probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event.
the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
a probability model and use it to find probabilities of events. Compare probabilities from a model to observed frequencies; if the agreement is not good, explain possible sources of the discrepancy.
a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected.
a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies?
probabilities of compound events using organized lists, tables, tree diagrams, and simulation.
that, just as with simple events, the probability of a compound event is the fraction of outcomes in the sample space for which the compound event occurs.
sample spaces for compound events using methods such as organized lists, tables and tree diagrams. For an event described in everyday language (e. g., “rolling double sixes”), identify the outcomes in the sample space which compose the event.
and use a simulation to generate frequencies for compound events. For example, use random digits as a simulation tool to approximate the answer to the question: If 40% of donors have type A blood, what is the probability that it will take at least 4 donors to find one with type A blood?
and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1. 5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1. 5 cm in mature plant height.
that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?
Reading Science/TechnicalRST. 9-10. 7Translate quantitative or technical information expressed in words in a text into visual form (e. g., a table or chart) and translate information expressed visually or mathematically (e. g., in an equation) into words.
Writing HS/S/TWHST. 6-8. 7Conduct short research projects to answer a question (including a self-generated question), drawing on several sources and generating additional related, focused questions that allow for multiple avenues of exploration.
WHST. 8Gather relevant information from multiple print and digital sources, using search terms effectively; assess the credibility and accuracy of each source; and quote or paraphrase the data and conclusions of others while avoiding plagiarism and following a standard format for citation.
WHST. 7Conduct short as well as more sustained research projects to answer a question (including a self-generated question) or solve a problem; narrow or broaden the inquiry when appropriate; synthesize multiple sources on the subject, demonstrating understanding of the subject under investigation.
WHST. 8Gather relevant information from multiple authoritative print and digital sources, using advanced searches effectively; assess the usefulness of each source in answering the research question; integrate information into the text selectively to maintain the flow of ideas, avoiding plagiarism and following a standard format for citation.
WHST. 11-12. 8Gather relevant information from multiple authoritative print and digital sources, using advanced searches effectively; assess the strengths and limitations of each source in terms of the specific task, purpose, and audience; integrate information into the text selectively to maintain the flow of ideas, avoiding plagiarism and overreliance on any one source and following a standard format for citation.
Ecosystems: Interactions, Energy, and DynamicsHS-LS2-2Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.
Community Rating
No one has reviewed this tool yet. Be the first to share your thoughts.
Add your rating
Get weekly updates on the latest digital tools and teaching strategies.
Frequently Asked Questions about data io usa
Is Data USA IO legit?
All these features make this site a reliable and easy-to-use research tool that is great for all students, including visual learners and English learners. Still, don’t expect any plug-and-play lessons or classroom-specific support, and, while there’s tons here to explore, the data is limited to the U.S.
How often is data USA updated?
Every 10 years, it conducts the Population and Housing Census, in which every resident in the United States is counted. The agency also gathers data through more than 100 other surveys of households and businesses every one to five years. You can explore the results of the surveys or find popular quick facts.Dec 7, 2020
How do you find the demographic of a city?
The U.S. Census Bureau allows you to search by ZIP code, city, county, and/or state to find a specific area’s income levels, ethnicities, ages, and other social characteristics.