Working with the American Community Survey in R

Working with the American Community Survey in R
Author: Ezra Haber Glenn
Publisher: Springer
Total Pages: 57
Release: 2016-10-06
Genre: Mathematics
ISBN: 3319457721
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This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming language. The package defines a new "acs" class object (containing estimates, standard errors, and metadata for tables from the ACS) with methods to deal appropriately with common tasks (e.g., creating and combining subgroups or geographies, automatic fetching of data via the Census API, mathematical operations on estimates, tests of significance, plots of confidence intervals).

ACS.R

ACS.R
Author: Ezra Haber Glenn
Publisher:
Total Pages:
Release: 2017
Genre:
ISBN:
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Over the past decade, the U.S. Census Bureau has implemented the American Community Survey as a replacement for its traditional decennial “long-form” survey. This year -- for the first time ever -- ACS data was made available at the census tract and block group level for the entire nation, representing geographies small enough to be useful to local planners; in the future these estimates will be updated on a yearly basis, providing much more current data than was ever available in the past. Although the ACS represents a bold strategy with great promise for planners working at the neighborhood scale, it will require them to become comfortable with statistical techniques and concerns that they have traditionally been able to avoid.To help with this challenge the author has been working with local-level planners to determine the most common problems associated with using ACS data, and has implemented these functions as a package in the R statistical programming language. The e ort is still in a “beta” stage, with much work to be done, but the basic framework is in place. The package defines a new “acs” class object (containing estimates, standard errors, and metadata for tables from the ACS), with methods to deal appropriately with common tasks (e.g., combining subgroups or geographies, mathematical operations on estimates, tests of significance, plots of confidence intervals, etc.).

Exploring and Visualizing US Census Data with R

Exploring and Visualizing US Census Data with R
Author: Eric Pimpler
Publisher:
Total Pages: 132
Release: 2019-10-25
Genre:
ISBN: 9781702556354
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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.

Analyzing US Census Data

Analyzing US Census Data
Author: Kyle Walker
Publisher: CRC Press
Total Pages: 378
Release: 2023-02-09
Genre: Business & Economics
ISBN: 1351360302
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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.

Measuring the Group Quarters Population in the American Community Survey

Measuring the Group Quarters Population in the American Community Survey
Author: National Research Council
Publisher: National Academies Press
Total Pages: 44
Release: 2011-01-29
Genre: Social Science
ISBN: 0309185106
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Following several years of testing and evaluation, the American Community Survey (ACS) was launched in 2005 as a replacement for the census "long form," used to collect detailed social, economic, and housing data from a sample of the U.S. population as part of the decennial census. During the first year of the ACS implementation, the Census Bureau collected data only from households. In 2006 a sample of group quarters (GQs)-such as correctional facilities, nursing homes, and college dorms-was added to more closely mirror the design of the census long-form sample. The design of the ACS relies on monthly samples that are cumulated to produce multiyear estimates based on 1, 3, and 5 years of data. The data published by the Census Bureau for a geographic area depend on the area's size. The multiyear averaging approach enables the Census Bureau to produce estimates that are intended to be robust enough to release for small areas, such as the smallest governmental units and census block groups. However, the sparseness of the GQ representation in the monthly samples affects the quality of the estimates in many small areas that have large GQ populations relative to the total population. The Census Bureau asked the National Research Council to review and evaluate the statistical methods used for measuring the GQ population. This book presents recommendations addressing improvements in the sample design, sample allocation, weighting, and estimation procedures to assist the Census Bureau's work in the very near term, while further research is conducted to address the underlying question of the relative importance and costs of the GQ data collection in the context of the overall ACS design.

Using the American Community Survey

Using the American Community Survey
Author: Constance F. Citro
Publisher:
Total Pages: 360
Release: 2007
Genre: Reference
ISBN:
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The American Community Survey (ACS) is a major new initiative from the U.S. Census Bureau designed to provide continuously updated information on the numbers and characteristics of the nation's people and housing. It replaces the "long form" of the decennial census. Using the American Community Survey covers the basics of how the ACS design and operations differ from the long-form sample; using the ACS for such applications as formula allocation of federal and state funds, transportation planning, and public information; and challenges in working with ACS estimates that cover periods of 12, 36, or 60 months depending on the population size of an area. This book also recommends priority areas for continued research and development by the U.S. Census Bureau to guide the evolution of the ACS, and provides detailed, comprehensive analysis and guidance for users in federal, state, and local government agencies, academia, and media.

Improving the American Community Survey

Improving the American Community Survey
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 211
Release: 2019-05-03
Genre: Social Science
ISBN: 0309490030
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Since its origin 23 years ago as a pilot test conducted in four U.S. counties, the U.S. Census Bureau's American Community Survey (ACS) has been the focus of continuous research, development, and refinement. The survey cleared critical milestones 14 years ago when it began full-scale operations, including comprehensive nationwide coverage, and 5 years later when the ACS replaced a long-form sample questionnaire in the 2010 census as a source of detailed demographic and socioeconomic information. Throughout that existence and continuing today, ACS research and testing has worked to improve the survey's conduct in the face of challenges ranging from detailed and procedural to the broad and existential. This publication summarizes the presentations and discussion at the September 26â€"27, 2018, Workshop on Improving the American Community Survey (ACS), sponsored by the U.S. Census Bureau. Workshop participants explored uses of administrative records and third-party data to improve ACS operations and potential for boosting respondent participation through improved communication.

The American Community Survey

The American Community Survey
Author: National Research Council
Publisher: National Academies Press
Total Pages: 182
Release: 2001-02-26
Genre: Social Science
ISBN: 9780309073158
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The American Community Survey (ACS), to be run by the Census Bureau, will be a large (250,000 housing units a month), predominantly mailout/mailback survey that will collect information similar to that on the decennial census long form. The development of this new survey raises interesting questions about methods used for combining information from surveys and from administrative records, weighting to treat nonresponse and undercoverage, estimation for small areas, sample design, and calibration of the output from this survey with that from the long form. To assist the Census Bureau in developing a research agenda to address these and other methodological issues, the Committee on National Statistics held a workshop on September 13, 1998. This report summarizes that workshop.

American Community Survey Data for Community Planning

American Community Survey Data for Community Planning
Author: Cynthia Murray Taeuber
Publisher: Trafford Publishing
Total Pages: 199
Release: 2006
Genre: Cities and towns
ISBN: 1425110509
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American Community Survey Data for Community Planning helps new and expert data users: Learn practical skills for finding and using population and housing statistics from the U.S. Census BureauOs American Community Survey. Investigate issues that challenge your community, state, the nation, and different population groups. The American Community Survey (ACS) is a powerful new dataset but it is not your mother's decennial census. Learn: How to find and analyze demographic, social, economic, and housing statistics for geographic areas and people (e.g., teenage mothers, college graduates, poor families). The basics for finding and using data in the American Community Survey. The strengths of the data set and its limitations. Many of the skills and concepts you learn from American Community Survey Data for Community Planning will help you find and use other data sets from the U.S. Census Bureau including the decennial census. American Community Survey Data for Community Planning covers: Part I: American Community Survey Basics —the essentials you need to formulate your questions and identify your data needs. Part II: Finding Your Data teaches geographic concepts and helps you use the American FactFinder to find the data. Part III: Making Sense of Your Data describes analytic techniques, sources of error in data, differences between census counts and survey estimates, aspects of data accuracy and accounting for sampling error in your analyses, and how to compare estimates. Part IV: Writing Your Report describes how to avoid common errors, how to use the multi-year statistics from the American Community Survey's rolling sample, and gives you tips on writing reports. Part V: Descriptive Measures, Common Errors, and Useful References At the end of each part, exercises are provided so you can test your understanding of important concepts by making decisions and solving problems.

American Community Survey

American Community Survey
Author:
Publisher:
Total Pages: 16
Release: 2004
Genre: American community survey
ISBN:
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The American Community Survey is a nationwide survey designed to provide communities a fresh look at how they are changing. It is a critical element in the Census Bureau's reengineered census.