Percent ever-married, ages 35-54, by education: 1940-2017
Source: Philip N. Cohen / U.S. Census Bureau via IPUMS
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Percent ever-married, ages 35-54, by education: 1940-2017
Source: Philip N. Cohen / U.S. Census Bureau via IPUMS
Are you transitioning your quantitative methods or data analytics modules to a 100% remote environment, and looking for ways to incorporate some real-world data? You may wish to consider the data and teaching resources available through IPUMS: these video tutorials, introductory webinars, and hands-on exercises are great for use with R, SAS, Stata and SPSS …
Changes in Marital and Living Patterns 1960-2014 Sources: Pew Research Center / American Community Survey / IPUMA
My paper on housing affordability was published in the Columbia Economics Review:
“Chen’s paper examines the impact of various demographic factors, including percentage of college student comprising a community and residents’ usage of public transit, on housing affordability for renters. Her focus on renters, a group typically underrepresented in the literature on housing markets, has key implications for policymakers in better determining how their decisions impact all constituents of a community. She ultimately finds that college students decrease housing affordability for renters, an important result for urban planners to take into account when designing community partnerships with universities.”
Ethnic Breakdown of Maryland Women
google.load("visualization", "1", {packages:["corechart"]}); google.setOnLoadCallback(drawChart); function drawChart() { var data = google.visualization.arrayToDataTable([ ['Task', 'Ethnic Breakdown'], ['White, Non-Hispanic', 1650841], ['African American', 931953], ['Hispanic', 236487], ['Asian', 179396], ['Other', 3482] ]); var options = {'title':'3 Million Women Live in Maryland' }; var chart = new google.visualization.PieChart(document.getElementById('first_piechart')); chart.draw(data, options); }
And here's the related article...