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Exploring the U.S. Census: Your Guide to America’s Data

Autor Francis P. Donnelly
en Limba Engleză Paperback – 24 noi 2019
Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs. 
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Specificații

ISBN-13: 9781544355429
ISBN-10: 1544355424
Pagini: 464
Dimensiuni: 187 x 232 x 26 mm
Greutate: 0.79 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

This text covers the tools you need to identify, access, and evaluate census data. When you are done, you will know enough about the census to select data that fits your use case, identify the tools that best fit your project, and be able to use these tools to explore, summarize and analyze your data. I think this text will be a great tool for anyone interested in working with census data.
The most comprehensive source book on the subject that will be invaluable for anyone doing research using census data.

It is interesting and easy to read and compiles information together that I often have a hard time gathering before covering the census in my course. I feel much more prepared just having read this draft. I teach geography and students make extensive use of census data, but don't have a good understanding of where it comes from and its possibilities and limitations. While reading the book, I was considering teaching our census data class that has been on the shelf for a while. I was inspired by the text to offer it!

This is a much-needed text that will help students, researchers, and practitioners understand and properly use census data.

This text is a welcome, comprehensive introduction to working with and understanding Census Data.

This is a most comprehensive guidebook to the use of the Census. The author's experience is invaluable.

Cuprins

I. CENSUS FUNDAMENTALS
1. Placing the Census in Context
1.1 What is Census Data?
1.2 Application of Census Data
1.3 Role of the Census in American Society
1.4 Criticism of the Census
1.6 Conclusion and Next Steps
2. Dive into the Data
2.1 Introducing data.census.gov
2.2 First Steps in Data Exploration
2.3 Chart a Clear Path with Advanced Search
2.4 Other Sources for Census Data
2.5 Census Research Reports
2.6 Review Questions and Practice Exercises
3. Census Geography
3.1 Geography Matters
3.2 Census Geography Hierarchy
3.3 The Primary Trunk
3.4 Exploring Census Geography with TIGERweb
3.5 Other Geographies - The Branches
3.6 Revisiting TIGERweb
3.7 Geographic Reference
3.8 Review Questions and Practice Exercises
4. Subject Characteristics
4.1 The Census Universe
4.2 Residency
4.3 Population Characteristics
4.4 Housing Unit Characteristics
4.5 The Labor Force
4.6 Derived Measures
4.7 Exercises
4.8 Review Questions and Practice Exercises
II. THE PRIMARY DATASETS
5. The Decennial Census
5.1 Introduction
5.2 The Census in the 21st Century
5.3 The Data Collection Process
5.4 Decennial Census Data
5.5 Exercises
5.6 Review Questions and Practice Exercises
6. The American Community Survey
6.1 Introduction
6.2 Fundamentals of the ACS
6.3 ACS Variables
6.4 Exercises
6.5 Review Questions and Practice Exercises
7. Population Estimates Program
7.1 Introduction
7.2 PEP Fundamentals
7.3 PEP Datasets and Variables
7.4 Applications for PEP Data
7.5 Exercises
7.6 Review Questions and Practice Exercises
8. Business Datasets
8.1 Introduction
8.2 Navigating Industries with NAICS
8.3 Data for Business Establishments
8.4 Labor Force Statistics
8.5 Exercises
8.6 Review Questions and Practice Exercises
9. Integrating Census Data into Research
9.1 Introduction
9.2 Writing With Census Data
9.3 Making Geographic Decisions
9.4 National Trends and Historical Context
9.5 Review Questions and Practice Exercises
III. ADVANCED TOPICS
10. Mapping and GIS
10.1 Introduction
10.2 Creating Maps Online
10.3 Introduction to GIS
10.4 GIS Exercise
10.5 Review Questions and Practice Exercises
11. Census Data Derivatives
11.1 Introduction
11.2 Measures of Population Distribution
11.3 Measures of Income and Inequality
11.4 Means and Medians for Aggregates
11.5 Geographic Derivatives
11.6 Review Questions and Practice Exercises
12. Historical Data and Microdata
12.1 Introduction
12.2 Historical Census Data
12.3 Microdata
12.4 In Conclusion - What Next?
12.5 Review Questions and Practice Exercises

Notă biografică

Frank Donnelly is a geospatial information professional whose practice blends the service-based and organizational skills of an academic librarian with the subject knowledge and analytical methods of a researcher. He has served as the Geospatial Data Librarian at Baruch College, City University of New York (CUNY) in midtown Manhattan since 2007, where he helps members of his university navigate geospatial and census data sources. He holds the rank of Associate Professor in the library and manages a GIS lab where he and his graduate students: provide research consultations, teach workshops, process and create data, and maintain a repository of GIS data. Frank was an early proponent of free and open source GIS software in academia and has introduced hundreds of people to GIS through his workshops and tutorial manual. He has written several academic articles, technical papers, and reports that utilize census data to study socio-economic and demographic trends and provide information to researchers and policy makers. Prior to becoming a librarian he worked as a planner and data analyst in the government and non-profit sectors. He holds Masters Degrees in Library and Information Science from the University of Washington, and Geography from the University of Toronto. You can follow him at his blog At These Coordinates: https://atcoordinates.info/.



Descriere

Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.