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.

Explores incorporating the U.S. Census Bureau's American Community Survey (ACS) data into the transportation planning processes at national, state, metropolitan, and local levels. The report examines ACS data and products and demonstrates their uses within a wide range of transportation planning applications.

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.

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.

Covers each U.S. state, county, metropolitan area, and city with a population of 20,000 or more. It is designed to provide communities with a fresh look at how they are changing.

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).