Exploring The U S Census

Exploring the U.S. Census gives social science students and researchers alike the tools to understand, extract, process, and analyze data from the decennial census, the American Community Survey, and other data collected by the U.S. Census Bureau. Donnelly′s text provides a thorough background on the data collection methods, structures, and potential pitfalls of the census for unfamiliar researchers, collecting information previously available only in widely disparate sources into one handy guide. Hands-on, applied exercises at the end of the chapters help readers dive into the data. Along the way, the author shows how best to analyze census data with open-source software and tools. Readers can freely evaluate the data on their own computers, in keeping with the free and open data provided by the Census Bureau. By placing the census in the context of the open data movement, this text makes the history and practice of the census relevant so readers can understand what a crucial resource the census is for research and knowledge.

The United States census provides researchers, students, and the public with some of the richest and broadest information available about the American people. Exploring the U.S. Census by Frank Donnelly gives social science students and researchers alike the tools to understand, extract, process, and analyze data from the decennial census, the American Community Survey, and other data collected by the U.S. Census Bureau. More than just a data collection exercise performed every ten years, the census is a series of datasets updated on an ongoing basis. With all that data comes opportunities and challenges: opportunities to teach students the value of census data for studying communities and answering research questions, and the challenges of navigating and comprehending such a massive data source and transforming it into usable information that students and researchers can analyze with basic skills and software. Just as important as showing what the census can tell social researchers is showing how to ask good questions of census data. Exploring the U.S. Census provides a thorough background on the data collection methods, structures, and potential pitfalls of the census for unfamiliar researchers, collecting information previously available only in widely disparate sources into one handy guide. Hands-on, applied exercises at the end of the chapters help readers dive into the data. The first chapter of the book places the census into context, discussing the history and the role of the census in society as well as in the larger universe of government, open, and big data. The book then moves onto the essentials of the data structure including the variety of sources and searching mechanisms, geography from nation down to zip code, and the fundamental subject categories (social, economic, and geographic) that are used for summarizing data in all of the various datasets. The next section delves into the individual datasets, discussing the purpose and structure of each, with separate chapters devoted to the decennial census, ACS, Population Estimates Program, and business datasets. A final chapter for this section pulls everything together, with a focus on writing and presenting your research on the data. The final section covers advanced topics and applications including mapping, geographic information systems, creating new variables and measures from census data, historical census data, and microdata. Along the way, the author shows how best to analyze census data with open-source software and tools, such as QGIS geographic information system, LibreOffice® Calc, and the DB Browser for SQLite®. Readers can freely evaluate the data on their own computers, in keeping with the free and open data provided by the Census Bureau. By placing the census in the context of the open data movement, this text makes the history and practice of the census relevant so readers can understand what a crucial resource the United States census is for research and knowledge.

In this book you will learn how to use R with the tidycensus and tidyverse packages to explore and visualize US Census data.tidycensus is an R package that allows users to interface with the US Census Bureau's decennial Census and five-year American Community APIs and return tidyverse-ready data frames, optionally with simple feature geometry included. tidycensus is designed to help R users get Census data that is pre-prepared for exploration within the tidyverse, and optionally spatially with the sf package.If your work involves the use of data from the US Census Bureau and would like to use R to explore, manipulate, and visualize these datasets, the tidycensus and tidyverse packages are great tools for accomplishing these tasks. Beyond this, the sf package now allows R users to work with spatial data in an integrated way with tidyverse tools, and updates to the tigris package provide access to Census boundary data as sf objects.This book will also allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice. No prior programming skills are required.

This book is the first social history of the census from its origins to the present and has become the standard history of the population census in the United States. The second edition has been updated to trace census developments since 1980, including the undercount controversies, the arrival of the American Community Survey, and innovations of the digital age. Margo J. Anderson’s scholarly text effectively bridges the fields of history and public policy, demonstrating how the census both reflects the country’s extraordinary demographic character and constitutes an influential tool for policy making. Her book is essential reading for all those who use census data, historical or current, in their studies or work.

Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment. Chapters in this book cover the following key topics: • Rapidly acquiring data from the decennial US Census and American Community Survey using R, then analyzing these datasets using tidyverse tools; • Visualizing US Census data with a wide range of methods including charts in ggplot2 as well as both static and interactive maps; • Using R as a geographic information system (GIS) to manage, analyze, and model spatial demographic data from the US Census; • Working with and modeling individual-level microdata from the American Community Survey’s PUMS datasets; • Applying these tools and workflows to the analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico. Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU’s Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.

This fascinating three-thousand-year history of the census traces the making of the modern survey and explores its political power in the age of big data and surveillance. In April 2020, the United States will embark on what has been called "the largest peacetime mobilization in American history": the decennial population census. It is part of a tradition of counting people that goes back at least three millennia and now spans the globe. In The Sum of the People, data scientist Andrew Whitby traces the remarkable history of the census, from ancient China and the Roman Empire, through revolutionary America and Nazi-occupied Europe, to the steps of the Supreme Court. Marvels of democracy, instruments of exclusion, and, at worst, tools of tyranny and genocide, censuses have always profoundly shaped the societies we've built. Today, as we struggle to resist the creep of mass surveillance, the traditional census -- direct and transparent -- may offer the seeds of an alternative.

Well researched and presented guide about the USA for world wide audience, especially for immigrants and perspective US immigrants to help them get a comprehensive view of our great nation on earth. Book is written by a naturalized American International Business Executive and former manager with a top Fortune 500 company with decades of US experience, who now is into academics.. What is to be noted here is that most new comers will take a long time understanding American society and culture and get rid of false notions acquired by reading tabloids, second rates movies and listening to those for whom America is sour grape.

NAMED A RECOMMENDED BOOK OF 2018 BY TheNew York Times•TheChicago Reader • Nylon • The Boston Globe • TheHuffington Post • The Rumpus •The AV Club •Southern Living •The Millions • Buzzfeed • Esquire • Publishers Weekly A powerful and moving new novel from an award-winning, acclaimed author: in the wake of a devastating revelation, a father and son journey north across a tapestry of towns When a widower receives notice from a doctor that he doesn’t have long left to live, he is struck by the question of who will care for his adult son—a son whom he fiercely loves, a boy with Down syndrome. With no recourse in mind, and with a desire to see the country on one last trip, the man signs up as a census taker for a mysterious governmental bureau and leaves town with his son. Traveling into the country, through towns named only by ascending letters of the alphabet, the man and his son encounter a wide range of human experience. While some townspeople welcome them into their homes, others who bear the physical brand of past censuses on their ribs are wary of their presence. When they press toward the edges of civilization, the landscape grows wilder, and the towns grow farther apart and more blighted by industrial decay. As they approach “Z,” the man must confront a series of questions: What is the purpose of the census? Is he complicit in its mission? And just how will he learn to say good-bye to his son? Mysterious and evocative, Census is a novel about free will, grief, the power of memory, and the ferocity of parental love, from one of our most captivating young writers.