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Our population statistics cover age, sex, race, Hispanic origin, migration, ancestry, language use, veterans, as well as population estimates and projections.
This section provides information on a range of educational topics, from educational attainment and school enrollment to school districts, costs and financing.
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The U.S. Census Bureau is the official source for U.S. export and import statistics and regulations governing the reporting of exports from the U.S.
The U.S. Census Bureau provides data for the Federal, state and local governments as well as voting, redistricting, apportionment and congressional affairs.
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Geography provides the framework for Census Bureau survey design, sample selection, data collection, tabulation, and dissemination.
Geography is central to the work of the Bureau, providing the framework for survey design, sample selection, data collection, tabulation, and dissemination.
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The Geographic Support System Initiative will integrate improved address coverage, spatial feature updates, and enhanced quality assessment and measurement.
Work with interactive mapping tools from across the Census Bureau.
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Metropolitan and micropolitan areas are geographic entities used by Federal statistical agencies in collecting, tabulating, and publishing Federal statistics.
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Definitions of geographic terms, why geographic areas are defined, and how the Census Bureau defines geographic areas.
We conduct research on geographic topics such as how to define geographic areas and how geography changes over time.
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Our researchers explore innovative ways to conduct surveys, increase respondent participation, reduce costs, and improve accuracy.
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The Census Bureau's Director writes on how we measure America's people, places and economy.
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Over the past decade advancements in communications and database technologies have radically changed how people access and share information. As a result the opportunities for researchers to measure attitudes, opinions, and behaviors in new ways have gone through perhaps a greater transformation recently than in any previous point in history and this trend appears likely to continue. The availability of smartphones and ubiquity of social media are inter-connected trends which may provide researchers with new data collection tools and alternative sources of information to augment or, in some cases, replace traditional survey research methods. However, this brave new world is not without its share of issues and pitfalls - technological, statistical, and methodological.
Michael W. Link, Ph.D. is Chief Methodologist and Senior Vice President at The Nielsen Company, directing the activities of the Nielsen Measurement Institute. He has a broad-base of experience in survey research, having worked in academia, not-for-profit research, and government before joining Nielsen. Dr. Link's research efforts focus on developing methodologies for confronting the most pressing issues facing measurement science, including improving participation and data quality, using of multiple modes in data collection, and utilizing new technologies such as mobile platforms and social media. Along with several colleagues, he received the American Association for Public Opinion Research 2011 Mitofsky Innovator's Award for his research on address-based sampling. His numerous research articles have appeared in leading scientific journals.
|Emerging Technologies: New Opportunities, Old Challenges (, 1.1mb)||Michael Link - The Nielsen Company|
|Coordinator:||Bill Mockovak, Bureau of Labor Statistics|
|Use of Virtual Desktop Infrastructure for Work At Home staff (, 235kb)||Suzanne Fratino,|
James Christy - U.S. Census Bureau
|Update on Innovations at NORC (, 172kb)||Angela DeBello - NORC at the University of Chicago|
|Recent Innovations University of Michigan (, 693kb)||Patty Maher - Survey Research Center, Un. of Michigan|
|Recent Innovations at RTI International (, 1.1mb)||David Uglow - RTI International|
|COMET, Web-based System To Process Raw Payroll Data Submitted Electronically by National, Multi-unit Firms (, 558kb)||Matthew Burgess,|
Mangala Kuppa - Bureau of Labor Statistics
|Statistics Canada's Consumer Price Index (, 442kb)||Chris Kit ,|
Ryan Williams - Statistics Canada
|iPad as Viewer and Memory Aid for Respondents in a Collaborative Approach to CAPI Interviewing (, 451kb)||Eric White,|
Chris Schlapper - University of Wisconsin Survey Center
|Coordinator:||Lew Berman, ICF International|
|Challenges and Advances in Using the iPad® Computer-Assisted Personal Interview System (, 707kb)||Autumn Foushee,|
Heather Driscoll - ICF International
|There's an App for That: A Data Quality Review of a Transition from PAPI Data Collection to Smartphone Data Collection in a Vendor Management Study (, 846kb)||Amy Hendershott,|
Daniel Keever - RTI International
|Lessons Learned: Using Tablets in the Field and the Future of Mobile Data Collection (, 911kb)||Mark Brinkley,|
Gene Shkolnikov - Mathematica Policy Research, Inc.
|Cost Implications of New Address Listing Technology: Implications for Efficiency and Data Quality (, 2.4mb)||Katie Dekker - NORC at the University of Chicago|
This session will provide CAI survey managers and researchers dealing with management and administrative challenges a venue to share their knowledge and learn how others are approaching these issues. A panel of experts from government and industry will discuss key topics with audience participation including questions and shared experiences.
Attendees will hear about the techniques used in different organizations to address key management issues, participate in a discussion of these issues, and have an opportunity to ask the panelists about effective approaches to these situations.
|Coordinator:||David Cantor, Westat|
|Administrative Records Coverage of Demographic Response Data in the American Community Survey (, 95kb)||Renuka Bhaskar - U.S. Census Bureau|
|Bringing Data Sources Together (, 2.1mb)||Mark Martin - Office for National Statistics (UK)|
|Testing Record Linkage Production Data Quality (, 2.3mb)||K. Bradley Paxton - ADI LLC.|
|The HUD Quality Control Study - Collecting Data through File Record Abstraction, CAPI and Administrative Records to Fulfill Mandatory Improper Payment Reporting (, 334kb)||Sophia I. Zanakos - ICF International|
|Coordinator:||Jim Caplan, Department of Defense|
|Mobile Device use in Underserved Areas - Challenges, Considerations and Lessons Learned (, 1.1mb)||Abie Reifer - Westat|
|CAPI Surveys on Android Devices in the Developing World (, 4.3mb)||Sam Haddaway - NORC at the University of Chicago|
|Data Collection in the Thin Client CAPI and GIS Environments (, 2.4mb)||Eric Wilson,|
Linda Lawson - USDA
|Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-term Panel Participation? (, 945kb)||James Dayton,|
Andrew Dyer - ICF International
|Implementing Adaptive Design at the Census Bureau for the National Survey of College Graduates (, 461kb)||Stephanie Coffey,|
Benjamin Reist - U.S. Census Bureau
|Adaptive Sample Design and Management at NASS (, 150kb)||Jaki McCarthy - National Agricultural Statistics Service|
|Responsive Design Using Mahalanobis Distancing: Preliminary Results from Two National Center for Education Statistics Longitudinal Surveys (, 125kb)||Elise Christopher,|
Ted Socha - National Center for Education Statistics
|The Evolution of Electronic Questionnaire Collection Strategy at Statistics Canada (, 405kb)||Wade Kuseler - Statistics Canada|
|Using Responsive Design to Improve Response and Operational Efficiency Under the Constraints of Time-Sensitive Program Evaluation (, 245kb)||Andy Weiss,|
Faith Lewis - Abt SRBI,
Rhoda Cohen - Mathematica Policy Research, Inc.
|The Challenges of Big Data (, 254kb)||Timothy Mulcahy,|
Daniel Gwynne - NORC at the University of Chicago
|Information from New Systems for Evaluating Survey Quality at EIA (, 172kb)||Elizabeth Panarelli - EIA|
|Artificial Intelligence in Data Processing (, 104kb)||Alex Measure - Bureau of Labor Statistics|
|Data Management Challenges and Lessons Learned in Project Transition (, 130kb)||Maria Hobbs,|
Al Bethke - RTI International
|Coordinator:||Barbara Bibb, RTI International|
|It's About Time: Examining the Effect of Interviewer-Quoted Survey Completion Time Estimates on Nonresponse (, 187kb)||Stacie Greby,|
Jacquelyn George - CDC NCHS
|A Comparison of Respondent Burden, Approaches for Minimizing Respondent Burden, and Outcomes - Lessons Learned from Two Cohort Studies with Nested Designs for Congressional and Court Mandated Research (, 1.1mb)||Charlie Knott,|
Fred Crane - Battelle,
William Maixner - UNC,
Roger Fillingim - UFL,
Richard Ohrbach - UB,
Joel Greenspan - UMD
|Decreasing Respondent Burden in the US Census Bureau using CARI (Computer Audio-Recorded Interviewing) (, 88kb)||Carl Fisher - RTI International,|
Romell McElroy - U.S. Census Bureau
|How Statistics Canada will be Reducing Respondent Burden of its Economic Surveys. The Integrated Business Statistics Program (IBSP) (, 706kb)||Michael Sigouin - Statistics Canada|
|Using Time of Interview to Inform Recruiting Strategies (, 724kb)||Jeff Enos,|
James Christy - U.S. Census Bureau
|Coordinators:||Kristina Rall, Mathematica Policy Research, Inc.|
Andrew Frost, Mathematica Policy Research, Inc.
|Standards and New Electronic Questionnaire (EQ) Surveys Functionalities (, 1mb)||Cindy Gagné,|
Robert Godbout - Statistics Canada
|Challenges in Making Web Surveys 508 Compliant (, 673kb)||Sandhya Bikmal - RTI International|
|Leveraging Web Capabilities To Reduce Burden and Cost: Establishment Survey Example (, 953kb)||Kathryn Harper - ICF International|
|caCURE - An Open-source Survey Toolset (, 645kb)||Bill Tulskie - HealthCare IT, Inc.|
|Web Diary Feasibility Test: Preliminary Findings and Issues (, 953kb)||Ian Elkin - Bureau of Labor Statistics|
|Coordinator:||Bill Connett, Survey Research Center, Un. of Michigan|
|Coordinator:||Dan Gillman, Bureau of Labor Statistics|
|Enhancing Transparency and Reproducibility via Frequently-Asked-Questions (, 3.1mb)||Shawna Waugh - Energy Information Administration|
|Improving NHANES Data Documentation Processes (, 2.1mb)||Jennifer Dostal,|
Jane Zhang - CDC NCHS
|Defining "Core" Metadata: What is Needed to Make Data Discoverable? (, 56kb)||Sandra Cannon - Federal Reserve Board|
|Generic Statistical Information Model - An Overview (, 878kb)||Dan Gillman - Bureau of Labor Statistics|
|Coordinator:||Patricia LeBaron, RTI International|
|Will They Answer the Phone If They Know It's Us? Using Caller ID to Improve Response Rates (, 445kb)||Jeff Boone,|
Nancy Dickey - National Agricultural Statistics Service
|Using a Self-Administered Web-Based System to Replace the Interviewer: The Automated Self-Administered 24-Hour Dietary Recall (ASA24) (, 527kb)||Gordon Willis,|
Frances E. Thompson,
Thea Palmer Zimmerman,
Amy F. Subar - National Cancer Institute
|Applying Crowdsourcing Methods in Social Science Research (, 836kb)||Michael Keating - RTI International|
|Using Text-To-Speech Software for ACASI (, 831kb)||Jeff Phillips,|
Brad Edwards - Westat
|Wireless Experience with CAPI Collection (, 475kb)||Gyslaine Burns - Statistics Canada|