The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

Abstract copyright UK Data Service and data collection copyright owner.

The NOP National Political Surveys were designed principally to ascertain public opinion on political parties, leaders and government, and to record voting intention. In addition, the majority of the surveys included data of topical interest and of social importance.

Main Topics:
The surveys vary, but topics covered over time include: voting intention; satisfaction with: the Government, the Prime Minister, the Leader of the Opposition, the political system and institutions; opinions on problems facing Government; the political parties; voting and electoral behaviour; foreign affairs and defence; economic and industrial affairs; social issues (e.g. welfare, education, health, housing, environment); law, crime and justice; religious beliefs; role of women; race relations; attitudes to pornography, birth control, family planning, marriage, abortion, drugs, gambling, leisure; special issues and events. Please note that not every topic is covered in all surveys.

Classification details include: constituency, age and sex, terminal education age, marital status, social class, trade union membership and employment status.

The Board would use the FR 3076 to seek input from users or potential users of the Board's public website, social media, outreach, and communication responsibilities. The survey would be conducted with a diverse audience of consumers, banks, media, government, educators, and others to gather information about their visit to the Board's public website. Responses to the survey would be used to help improve the usability and offerings on the Board's public website and other online public communications. The frequency of the survey and content of the questions would vary as needs arise for feedback on different resources and from different audiences. The Board anticipates the FR 3076 may be conducted up to 12 times per year, although the survey may not be conducted that frequently. In addition, the Board anticipates conducting up to four focus group sessions per year.

PLSS Special Surveys are non-rectangular PLSS survey within the BLM Administrative State of Wyoming. These features are not populated for the many eastern states data sets because at the time of the PLSS Surveys in the eastern states, the federal survey types had not been established. However, for purposes of transition in some of the eastern states PLSS the non-plss data are in the plss special surveys, this will update over time.

The National Science Foundation (NSF) Surveys of Public Attitudes monitored the general public's attitudes toward and interest in science and technology. In addition, the survey assessed levels of literacy and understanding of scientific and environmental concepts and constructs, how scientific knowledge and information were acquired, attentiveness to public policy issues, and computer access and usage. Since 1979, the survey was administered at regular intervals (occurring every two or three years), producing 11 cross-sectional surveys through 2001. Data for Part 1 (Survey of Public Attitudes Multiple Wave Data) were comprised of the survey questionnaire items asked most often throughout the 22-year survey series and account for approximately 70 percent of the original questions asked. Data for Part 2, General Social Survey Subsample Data, combine the 1983-1999 Survey of Public Attitudes data with a subsample from the 2002 General Social Survey (GSS) (GENERAL SOCIAL SURVEYS, 1972-2002: [CUMULATIVE FILE] [ICPSR 3728]) and focus solely on levels of education and computer access and usage. Variables for Part 1 include the respondents' interest in new scientific or medical discoveries and inventions, space exploration, military and defense policies, whether they voted in a recent election, if they had ever contacted an elected or public official about topics regarding science, energy, defense, civil rights, foreign policy, or general economics, and how they felt about government spending on scientific research. Respondents were asked how they received information concerning science or news (e.g., via newspapers, magazines, or television), what types of television programming they watched, and what kind of magazines they read. Respondents were asked a series of questions to assess their understanding of scientific concepts like DNA, probability, and experimental methods. Respondents were also asked if they agreed with statements concerning science and technology and how they affect everyday living. Respondents were further asked a series of true and false questions regarding science-based statements (e.g., the center of the Earth is hot, all radioactivity is manmade, electrons are smaller than atoms, the Earth moves around the sun, humans and dinosaurs co-existed, and human beings developed from earlier species of animals). Variables for Part 2 include highest level of math attained in high school, whether the respondent had a postsecondary degree, field of highest degree, number of science-based college courses taken, major in college, household ownership of a computer, access to the World Wide Web, number of hours spent on a computer at home or at work, and topics searched for via the Internet. Demographic variables for Parts 1 and 2 include gender, race, age, marital status, number of people in household, level of education, and occupation.

These surveys of Macedonian public opinion were conducted on behalf of the International Republican Institute by the Brima market research firm. The surveys includes questions concerning general attitudes toward the government, the internal political situation in Macedonia (2015-2016), the implementation of the Przino Agreement and so forth.

Data was collected over four time periods (June 6-15, 2015/ Sept 29-October 5, 2015 / January 16-27, 2016 / April 19-25, 2016) using in-person, face-to-face methodology by trained professional interviewers.

The sample was prepared using the State Statistical Office data (2002 census results) for the population aged 18 and older, considering the structure of the population according to age, gender, education, type of housing, national affiliation and region and updated according to estimates and primary information, collected by Brima.

Stratification was based on three stages: first, the number of respondents for each of the regions was specified in proportion to the size of the population aged 18 and older that live in it. Second, the sampling plan consisted of 164 sampling points located according to urban/rural split, municipality size and nationality diffusion. Third, the selection of households was based on random route method, whereby in urban areas, every third household on the left-hand side of the street was selected. In rural areas, the wave-wise approach is applied and the selected household is every fourth inhabited house/dwelling on both sides of the interviewer’s route/track, counting from the first house on the left.

This poll was conducted with support from the United States Agency for International Development.

Spatially or temporally dense polling remains both difficult and expensive using existing survey methods. In response, there have been increasing efforts to approximate various survey measures using social media, but most of these approaches remain methodologically flawed. To remedy these flaws, this paper combines 1200 state-level polls during the 2012 presidential campaign with over 100 million state-located political Tweets; models the polls as a function of the Twitter text using a new linear regularization feature-selection method; and shows via out-of-sample testing that when properly modeled, the Twitter-based measures track and to some degree predict opinion polls, and can be extended to unpolled states and potentially sub-state regions and sub-day timescales. An examination of the most predictive textual features reveals the topics and events associated with opinion shifts, sheds light on more general theories of partisan difference in attention and information processing, and may be of use for real-time campaign strategy.

Layers in this dataset represent Public Land Survey System subdivisions for Canadian County. Included are Townships, Sections, Quarter Sections and Government Lots. This data was created from 2019 to 2021 as part of a project to update county parcel data in partnership with ProWest & Associates (https://www.prowestgis.com/) and CEC Corporation (https://www.connectcec.com/). Corners were located to the quarter section level and additional corners were determined for the South Canadian River meanders based on the original government surveys. Quarter section corners were located using Certified Corner Records ( filed by Oklahoma licensed professional surveyors with the Oklahoma Department of Libraries where those records included coordinates. When a corner record could not be found or did not include coordinates, other interpolation methods were employed. These included connecting known corner record locations to unknown corners using data from filed subdivisions or from highway plans on record with the Oklahoma Department of Transportation. Where no corner records with coordinates were available and no interpolation methods could be used, aerial inspection was used to locate corners as the last option.Corner location accuracy varies as the method of locating the corner varies. For corners located using Certified Corner Records, accuracy is high depending on the age of the corner record and can possibly be less than 1 U.S. Foot. For corners located using interpolation methods, accuracy depends on the additional material used to interpolate the corner. In general, newer subdivisions and highway plans yield higher accuracy. For meander corners located using original government surveys, accuracy will be low due to the age of those surveys which date to the 1870's at the earliest. Additionally, corners that were located with aerials as the last available option cannot be assumed to be accurate.The data was built at the quarter section level first by connecting located corners and larger subdivisions were created from the quarter sections. For townships that extend into Grady County, township lines were only roughly located outside sections not in Canadian County.

These polls are part of a continuing series of surveys that solicit public opinion on the presidency and on a range of other social and political issues. Respondents were asked to give their opinions of President Ronald Reagan and his handling of the presidency, foreign policy, and the economy. Each file contains a set of unique questions pertaining to broader social issues, such as childrearing and victimization. These national surveys were administered by telephone to respondents selected from eligible household members. In Part 1, January 1981, respondents were asked for their views on President Reagan's likely performance as President with respect to economic and foreign affairs, the release of hostages from Iran, the federal budget, and whether funding should be increased or decreased for certain federal programs. Questions about busing to achieve school integration were also included. For Part 2, April 1981, respondents were asked to evaluate President Reagan's current and future performances in economic and foreign affairs. They were also asked about tax cuts, the federal budget, women's rights, El Salvador, Poland, handguns, and Japanese cars. For Part 3, June 1981, respondents were asked to evaluate Reagan's performance as president, and to comment on their general life satisfaction, their confidence in government institutions, their views on crime, whether they voted in the 1980 presidential election, Social Security revisions, and several issues regarding foreign affairs, including military rule in Poland. In Part 4, June 1981, Social Security, respondents gave their views on the Social Security system and how proposed changes affected them. Respondents were also queried for their views on childrearing, punishment of juvenile crime, and who should have custody of children in divorce situations. For Part 5, September 1981, respondents evaluated President Reagan's performance in economic and foreign affairs, and also provided their opinions on environment issues and on various economic proposals, including the Reagan administration's proposed tax cut.

The survey is a joint effort of the Pew Research Center for the People & the Press and the Pew Forum on Religion & Public Life. Conducted in July and August of 2010, it examined Americans' attitudes toward a wide range of topics related to religion and public life. Special topics included Barack Obama's religion, the religious right and left, the Tea Party movement, immigration, same-sex marriage, and the influence of religion in politics. The survey also contained a range of items on respondents' religious and political preferences and behavior.

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population.

Release Date: 2024-05-02.Release Schedule:.The data in this file come from the 2022 Annual Survey of School System Finances data files. For more information about the Annual Survey of School System Finances data, see About: Annual Survey of School System Finances...Key Table Information:.Payments to other school systems are excluded from this table. Expenditures for adult education, community services, and other nonelementary-secondary programs are also excluded. Enrollments used to calculate per pupil amounts represent fall memberships collected by the National Center for Education Statistics on the Common Core of Data (CCD) agency universe file - "Local Education Agency (School District) Universe Survey." ..Enrollments for state educational facilities, federal school systems, and charter schools whose charters are held by a nongovernmental entity have been excluded. Enrollments from the CCD agency universe file were subject to adjustment if the enrollments were inconsistent with the finances reported...See Appendix B in the state-level tables files for a description of state-specific reporting anomalies. ..Annual Survey of School System Finances statistics include the finances of charter schools whose charters are held directly by a government or a government agency. Charter schools whose charters are held by nongovernmental entities are deemed to be out of scope for the Annual Survey of School System Finances...Data Items and Other Identifying Records:.Total current spending per pupil.Current spending per pupil - All functions - Salaries and wages.Current spending per pupil - All functions - Employee benefits.Current spending per pupil - Instruction - Total.Current spending per pupil - Instruction - Salaries and wages.Current spending per pupil - Instruction - Employee benefits.Current spending per pupil - Support services - Total.Current spending per pupil - Support services - Pupil support.Current spending per pupil - Support services - Instructional staff support.Current spending per pupil - Support services - General administration.Current spending per pupil - Support services - School administration..For a complete list of Public Sector Survey data items and other identifying records, see Annual Public Sector Statistics API information webpage. For more detailed information, see Government Finance and Employment Classification Manual... .Geography Coverage:.The data are shown for education finance data include revenues, expenditures, debt, and assets of elementary and secondary public school systems..Statistics cover school systems in all states, and include the District of Columbia. For information about 2022 Annual Survey of School System Finances, see About: Annual Survey of School System Finances...Industry Coverage:.Not applicable...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/school-finances/data/GS00SS05.zip..API Information:.For detailed description and more information for variables on the Public Sector API, see Public Sector: Annual and Census of Governments API Documentation...Methodology:.The Census Bureau has made arrangements with state government departments of education to use data from existing finance information collection systems where the data are compatible with this survey's categories. Every state department of education obtains information annually on a wide variety of financial data from elementary-secondary school systems by requiring reports or conducting surveys. The Census Bureau is able to gain access to this information through cooperative agreements with each state as summarized below:.. • Data compiled or reformatted by Census Bureau staff from state education agency electronic data files (17 states)... • Data reformatted by state education agency staff into survey categories before electronically transmitting data to the Census Bureau (33 states and DC)....A single office or database in the state departments of education did not always have all of the information needed for this survey. In these instances, other sources—most often different state offices—supplied information to supplement the basic data. The most common types of data needing supplementation were school lunch finances, indebtedness, cash and security holdings, and capital fund transactions...For detailed information about the methods used to collect and produce statistics, including sampling, questions, data collection and processing, editing, data quality, review, sampling error, nonsampling error, and more, see Annual Survey of School System Finances Technical Documentation...Symbols:.N - Not available.X - Not applicable.Z - Represents zero or rounds to zero.LEA - Local Education Agency..Source:.U.S. Census Bureau, 2022 Annual Survey of School System Finances.For information about the Annual Survey of School System Finances, see Annual Survey of School System Finances..Contact Information:.U.S. Census Bureau.For inquirie...

Citizen respondents rate their satisfaction level with their governments' efforts to become more open. Survey responses are broken down by government type (Federal, State and Local) and along several dimensions in the respondent pool, including Region, Education Level, Gender and Household (HH) Income.

"Religion is a critical factor these days in the public's thinking about contentious policy issues and political matters. An increasing number of Americans have come to view Islam as a religion that encourages violence while a declining number say Islam has a lot in common with their own religion. The public remains divided over whether churches should stay out of politics, even as large numbers say they are comfortable with expressions of faith by political leaders. There also is evidence that next year's presidential vote may again provoke deep religious divisions over social issues, especially homosexual marriage" (Pew Forum). This survey was conducted by The Pew Forum on Religion and Public Life.

Granite State Poll is a quarterly poll conducted by the University of New Hampshire Survey Center. The poll sample consists of about 500 New Hampshire adults with a working telephone across the state. Each poll contains a series of basic demographic questions that are repeated in future polls, as well as a set of unique questions that are submitted by clients. This poll includes four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project.This Technical Report was written by the UNH Survey Center and describes the protocols and standards of the Granite State Poll #68 (Client Poll), which includes questions related to preferences about dams, designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project.The first file is a screenshot of the Technical Report to provide a preview for Figshare. The second file is the Technical Report in Microsoft Word format.

Release Date: 2024-05-16.These data come from the Census of Governments and its annual data files released on a flow basis...Annual Survey of Public Employment & Payroll - May .Annual Survey of State Government Tax Collections - June .Annual Survey of Public Pensions - June .Annual Survey of State Government Finances - December .Annual Survey of State and Local Government Finances - August ...Key Table Information:.This information represents public finance and public employment data for of the nation's state and local government sector...Beginning with the release of the 2019 Annual Survey of Public Employment & Payroll, Part-Time Hours are no longer included in the content that is collected and published. For information on the updated methodology for the Full-Time Equivalent Employment calculation see Annual Survey of Public Employment & Payroll Methodology....Data Items and Other Identifying Records:..Full-time and part-time employment, part-time hours worked, full-time equivalent employment, and payroll statistics by governmental function.Taxes collected for state governments in the United States by category: Property Tax, Sales and Gross Receipts Taxes, License Taxes, Income Taxes, and Other Taxes.Detail of revenue by source, expenditure by object and function, indebtedness by term, and assets by purpose, by state and by type. ..For detailed information, see Government Finance and Employment Classification Manual....Geography Coverage:..Data are shown for the United States, the 50 states, and the District of Columbia....Industry Coverage:.Not applicable....FTP Download:.Download the entire tables at:..Annual Survey of State Government Tax Collections .Annual Survey of Public Employment & Payroll .Annual Survey of Public Pensions .Annual Survey of State Government Finances .Annual Survey of State and Local Government Finances...Methodology:.Click the links below to get detailed methodology for each survey...Annual Survey of Public Employment & Payroll .Annual Survey of State Government Tax Collections .Annual Survey of Public Pensions .Annual Survey of State Government Finances .Annual Survey of State and Local Government Finances...Symbols:..• S - Withheld because estimate did not meet publication standards..• N - Not available or not comparable..• For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary....Source:..U.S. Census Bureau, Census of Governments....Contact Information:.U.S. Census Bureau.1-(800)-242-2184.govs.cms.inquiry@census.gov

Point, line, and polygon features for Minidoka RD Public Survey form. This is a public layer view created from the Minidoka RD Public Survey feature layer. The public may submit responses to the survey, but cannot see the data after submission, even their own records, to protect privacy.

Background: “In 2006, the Seattle Police Department began surveying members of the public (customers) who had personal contact with an officer after calling 9-1-1. The surveys have been conducted two to four times a year, and a total of 44 surveys have been conducted to date. These surveys have been designed to assess customers’ experiences and satisfaction with the service provided by the Seattle Police Department, and the results of the surveys have been used to assess service delivery; examine differences between precincts; identify strategies and tactics to achieve specific service objectives; and provide feedback to officers, precinct captains, and watch lieutenants. This report presents the results of the September 2019 customer survey and compares the September 2019 survey results to results from the 13 other surveys conducted since March 2016.”

Research Methods. “Similar to the previous surveys, 200 customers who called 9-1-1 and had an officer dispatched to provide assistance were interviewed by telephone for this survey. All of the customers interviewed had called 9-1-1 between August 21 and August 29, 2019, and were randomly selected from lists of 9-1-1 callers who had an officer dispatched to provide assistance, excluding sensitive cases such as domestic violence calls. The interviews were completed between September 3 and September 10, 2019. The interviews were approximately 10 to 12 minutes long. The questionnaire used in the interviews was developed with Department input and approval. During the course of this research, some questions have been added to or deleted from the survey questionnaire to reflect the changing information needs of the Department. However, questions about customers’ overall satisfaction with their experience with the Department after calling 9-1-1, experiences with and opinions of the officer who first visited after the call to 9-1-1, opinions of the Seattle Police Department overall, and satisfaction with the service provided by the 9-1-1 operator have been included in every survey. Since late 2006 and early 2007, the surveys also included questions about customers’ feelings of safety in Seattle.”

Granite State Poll (GSP) is a quarterly poll conducted by the University of New Hampshire Survey Center. Each poll conducts random-sample telephone interviews with about 500 New Hampshire adults. Survey Center interviewers ask basic demographic questions that are common for all polls, along with varied political and client-proposed questions. The GSP data archived here combine results from three separate polls (conducted in February, April and August 2018), which included four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project. This archived dataset includes questions about dams in New Hampshire and other background factors most relevant to this study. The first text file is the metadata file, the second file is in format ready to be open in STATA software (.dta), and the third file is in a .csv format.The metadata readme.txt file was generated by Natallia Leuchanka Diessner and Lawrence C. Hamilton, and was reviewed and approved by all co-authors.

The repository contains the cleaned and labelled data, the codebook, and the sample questionnaire of a 2018 public opinion survey conducted in six Southeast European countries: Bosnia and Herzegovina, Croatia, Kosovo, North Macedonia, Montenegro, and Serbia. This survey captures the experiences of respondents and people close to them during the wars that followed the dissolution of Yugoslavia in the 1990s, and how they look back on these conflicts. In addition, the data contains people’s political views on issues such as nationalism, patriotism, economic policy, and interethnic relations. Finally, the survey measures the political behavior of participants, such as their electoral choices, news and media consumption, and the forms of political participation they engage in. The survey is part of the project “Electoral Legacies of War: Political Competition in Postwar Southeast Europe" (ELWar). Nicht-WahrscheinlichkeitsauswahI - Quotenstichprobe Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)