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State Data Book

United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch

Published: 1972

Total Pages: 56


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When you want only one source of information about your city or county, turn to County and City Extra. This trusted reference compiles information from many sources to provide all the key demographic and economic data for every state, county, metropolitan area, congressional district, and for all cities in the United States with a 2010 population of 25,000 or more. In one volume , you can conveniently find data from 1990 to 2013 in easy-to-read tables. No other resource compiles this amount of detailed information into one place. Subjects covered in County and City Extra include: • Population by age and race • Government finances • Income and poverty • Manufacturing, trade, and services • Crime • Housing • Education • Immigration and migration • Labor force and employment • Agriculture, land, and water • Residential construction • Health resources • Voting and elections The main body of this volume contains five basic parts and covers the following areas: Part A-states Part B-counties Part C-metropolitan areas Part D-cities with a 2010 census population of 25,000 or more Part E-congressional districts In addition, this publication includes: •Figures and text in each section that highlight pertinent data and provide analysis •Ranking tables which present each geography type by various subjects including population, land area, population density, educational attainment, housing values, race, unemployment, and crime •Multiple color maps of the United States on various topics including median household income, poverty, voting, and race Furthermore, this volume contains several appendixes which include: • Notes and explanations for further reference • Definitions of geographic concepts • A listing of metropolitan and micropolitan areas and their component counties • A list of cities by county • Maps showing congressional districts, counties, and selected places within each state This edition includes newly released data from the 2012 Census of Governments. Table A includes state government employment and payroll data; Tables B and C include payroll and employment data for all government entities operating within each county and each metropolitan area and Table D includes municipal government employment and payroll data. Information about nonemployer businesses is also included for the first time. In addition, the Office of Management and Budget released a completely new list of Core Based Statistical Areas in February 2013. These newly delineated metropolitan areas are used for the first time in Table C. Appendixes B and C provide details about the component counties of these new metropolitan and micropolitan areas and their 2010 census and 2013 estimated populations.
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.
By intelligence officials for intelligent people
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.