The Survey of State Government Research and Development measures the extent of R&D activity performed and funded by the governments of each of the nation’s 50 states, the District of Columbia, and Puerto Rico (collectively, states). By employing consistent, uniform definitions and collection techniques, the survey allows collection of state R&D expenditures data that are comparable nationwide. The survey is a census of state government departments, agencies, commissions, public authorities, and dependent entities with R&D activities. This dataset includes Survey of State Government Research and Development assets for 2022.

The 2020 Public Service Employee Survey (PSES) was administered by Advanis, on behalf of the Office of the Chief Human Resources Officer, Treasury Board of Canada. This comprehensive survey measured federal government employees’ opinions about their engagement, leadership, workforce, workplace, workplace well-being, compensation, diversity and inclusion, and the impacts of COVID-19. The 2020 Public Service Employee Survey was conducted from November 30, 2020 to January 29, 2021. A total of 188,786 employees in 87 federal departments and agencies responded to the 2020 Public Service Employee Survey, for a response rate of 61%. The 2020 Public Service Employee Survey datasets contain the results of the survey by year (2020, 2019 and 2018) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2019 and 2018 are only provided for questions repeated in the 2020 Public Service Employee Survey.

The City of Norfolk is committed to using data to help inform decisions and allocate resources. One important source of data is input from residents about their priorities and satisfaction with the services we provide. Norfolk last conducted a citywide survey of residents in 2022.

To provide up-to-date information regarding resident priorities and satisfaction, Norfolk contracted with ETC institute to conduct a survey of residents. This survey was conducted in May and June 2024; surveys were sent via the U.S. Postal Service and respondents were given the choice of responding by mail or online. This survey represents a random and statistically valid sample of residents from across the city. ETC Institute monitored responses and followed up to ensure all sections of the city were represented. An opportunity was also provided for residents not included in the random sample to take the survey and express their views.

Over 900 residents are represented in the survey’s random sample, and more than five hundred comments were received in response to the question “Is there anything else Norfolk should be doing, or anything not addressed in this survey you would like city leaders to know?”. Many of these comments contained multiple suggestions for city leadership. Each suggestion was assigned to a department and budget program whose mission most closely aligned with it. This dataset consists of summaries of the suggestions for each budget program. These are summarized for brevity and to protect the anonymity of the respondent. The full original comments were shared with city leadership. This dataset will be updated every two years.

The Survey of Federal Employees is the Office of Personnel Management's first major survey of the work force since 1983. The questionnaire was designed to provide policy-makers with information that was not available from existing sources. Questions covered various personnel areas such as employee characteristics, employees' satisfaction with their jobs, supervisors, and organizations, performance management, training, work schedule arrangements, leave benefits, and dependent care responsibilities and the ways employees fulfill these responsibilities. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR09983.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

Questionnaires

Results of optional anonymous surveys of participatory budgeting participants. Survey data helps inform City Council outreach efforts for participatory budgeting. Surveys are completed either online or in person on paper, after a person has participated. Please note that surveys collected in different years may have slightly different ranges of values. Depending on the year, this may be because the possible range of answers on the questionnaire were changed. Additionally, not all questions were asked in all years. Therefore, survey data is best compared within a survey year, not between survey years.

Version 4 release notes:Changes release notes description, does not change data.Version 3 release notesAdds 2018 data.Renames some columns so all column names are <= 32 characters to fix Stata limit.
Version 2 release notesAdds 2017 data. R and Stata files now available.

The .csv file includes data from the years 1992-2016. No data was changed. Only column names were changed to standardize it across years. Some columns (e.g. Population) that are not in all years are removed. Amounts are in thousands of dollars.
The zip file includes all raw (completely untouched) files for years 1992-2016.

From the Census, "The Annual Survey of State Government Finances provides a comprehensive summary of the annual survey findings for state governments, as well as data for individual states. The tables contain detail of revenue by source, expenditure by object and function, indebtedness by term, and assets by purpose." (link to this quote is below)

Information from the U.S. Census about the data is here. https://www.census.gov/programs-surveys/state/about.html

Further information may be found on the GOV.UK Community Life Survey webpage.

The Community Life Survey 2023-2024 was conducted between October 2023 and March 2024, with samples issued on a quarterly basis. The survey was conducted via an online and paper survey method called Address Based Online Surveying (ABOS). This is an affordable method of surveying the general population that still employs random sampling techniques. ABOS is a type of 'push to web' methodology, with a paper mode for those who are not digitally engaged.

A Safeguarded version of the data is available under SN 9407 and includes less detailed demographic variables and geographic indicators. Users should note that the Secure version is subject to restrictive access conditions, and are strongly advised to check whether the Safeguarded version is suitable for their needs before considering an application for the Secure version.

Citizen respondents rank how they want to interact with and consume government data. Survey responses are broken down along several dimensions including, Region, Education Level, Gender and Household (HH) Income.

This dataset includes qualitative and quantitative responses from 8212 participants in a 19-question questionnaire that was available via open.canada.ca from October 2017 to March 2018. The questionnaire was conducted as the first part of engagement leading to the creation of Canada’s 4th plan on open government. This is part of Canada’s membership in the Open Government Partnership.

Example of survey questions.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.

Graph and download economic data for All Employees, State Government (CEU9092000001) from Jan 1955 to Aug 2025 about establishment survey, government, employment, and USA.

The Michigan Public Policy Survey (MPPS) is a program of state-wide surveys of local government leaders in Michigan. The MPPS is designed to fill an important information gap in the policymaking process. While there are ongoing surveys of the business community and of the citizens of Michigan, before the MPPS there were no ongoing surveys of local government officials that were representative of all general purpose local governments in the state. Therefore, while we knew the policy priorities and views of the state's businesses and citizens, we knew very little about the views of the local officials who are so important to the economies and community life throughout Michigan.The MPPS was launched in 2009 by the Center for Local, State, and Urban Policy (CLOSUP) at the University of Michigan and is conducted in partnership with the Michigan Association of Counties, Michigan Municipal League, and Michigan Townships Association. The associations provide CLOSUP with contact information for the survey's respondents, and consult on survey topics. CLOSUP makes all decisions on survey design, data analysis, and reporting, and receives no funding support from the associations.The surveys investigate local officials' opinions and perspectives on a variety of important public policy issues and solicit factual information about their localities relevant to policymaking. Over time, the program has covered issues such as fiscal, budgetary and operational policy, fiscal health, public sector compensation, workforce development, local-state governmental relations, intergovernmental collaboration, economic development strategies and initiatives such as placemaking and economic gardening, the role of local government in environmental sustainability, energy topics, trust in government, views on state policymaker performance, and more. The program will investigate many other issues relevant to local and state policy in the future. The Spring 2020 MPPS wave asked Michigan's local government leaders about the expected impacts of the COVID-19 pandemic in their communities, how effectively various governments are coordinating efforts, what kinds of resources they need, how long they expect various impacts to last, and more. Additional questions on local government fiscal health, election administration, the 2020 U.S. Census, views on state policymaker performance, and more, were also asked. Responses to these questions will be available in a separate data collection available in 2021.

The City of Bloomington contracted with National Research Center, Inc. to conduct the 2023 Bloomington Community Survey. This is the fourth time a scientific citywide survey has been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues.
The 2023 survey received responses from 367 households (from a scientific sample of 3,000) and an additional 557 residents completed the opt-in survey. Read more at: bton.in/LWVOR.

This data set includes responses to questions about the number of local government activities conducted under the Environmental Protection Act 1994.

Abstract

This study examines various dimensions of primary health care delivery in Uganda, using a baseline survey of public and private dispensaries, the most common lower level health facilities in the country.

The survey was designed and implemented by the World Bank in collaboration with the Makerere Institute for Social Research and the Ugandan Ministries of Health and of Finance, Planning and Economic Development. It was carried out in October - December 2000 and covered 155 local health facilities and seven district administrations in ten districts. In addition, 1617 patients exiting health facilities were interviewed. Three types of dispensaries (both with and without maternity units) were included: those run by the government, by private for-profit providers, and by private nonprofit providers, mainly religious.

This research is a Quantitative Service Delivery Survey (QSDS). It collected microlevel data on service provision and analyzed health service delivery from a public expenditure perspective with a view to informing expenditure and budget decision-making, as well as sector policy.

Objectives of the study included: 1) Measuring and explaining the variation in cost-efficiency across health units in Uganda, with a focus on the flow and use of resources at the facility level; 2) Diagnosing problems with facility performance, including the extent of drug leakage, as well as staff performance and availability;
3) Providing information on pricing and user fee policies and assessing the types of service actually provided; 4) Shedding light on the quality of service across the three categories of service provider - government, for-profit, and nonprofit; 5) Examining the patterns of remuneration, pay structure, and oversight and monitoring and their effects on health unit performance; 6) Assessing the private-public partnership, particularly the program of financial aid to nonprofits.

Geographic coverage

The study districts were Mpigi, Mukono, and Masaka in the central region; Mbale, Iganga, and Soroti in the east; Arua and Apac in the north; and Mbarara and Bushenyi in the west.

Analysis unit

• local dispensary with or without maternity unit

Universe

The survey covered government, for-profit and nonprofit private dispensaries with or without maternity units in ten Ugandan districts.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey covered government, for-profit and nonprofit private dispensaries with or without maternity units in ten Ugandan districts.

The sample design was governed by three principles. First, to ensure a degree of homogeneity across sampled facilities, attention was restricted to dispensaries, with and without maternity units (that is, to the health center III level). Second, subject to security constraints, the sample was intended to capture regional differences. Finally, the sample had to include facilities in the main ownership categories: government, private for-profit, and private nonprofit (religious organizations and NGOs). The sample of government and nonprofit facilities was based on the Ministry of Health facility register for 1999. Since no nationwide census of for-profit facilities was available, these facilities were chosen by asking sampled government facilities to identify the closest private dispensary.

Of the 155 health facilities surveyed, 81 were government facilities, 30 were private for-profit facilities, and 44 were nonprofit facilities. An exit poll of clients covered 1,617 individuals.

The final sample consisted of 155 primary health care facilities drawn from ten districts in the central, eastern, northern, and western regions of the country. It included government, private for-profit, and private nonprofit facilities. The nonprofit sector includes facilities owned and operated by religious organizations and NGOs. Approximately one third of the surveyed facilities were dispensaries without maternity units; the rest provided maternity care. The facilities varied considerably in size, from units run by a single individual to facilities with as many as 19 staff members.

Ministry of Health facility register for 1999 was used to design the sampling frame. Ten districts were randomly selected. From the selected districts, a sample of government and private nonprofit facilities and a reserve list of replacement facilities were randomly drawn. Because of the unreliability of the register for private for-profit facilities, it was decided that for-profit facilities would be identified on the basis of information from the government facilities sampled. The administrative records for facilities in the original sample were first reviewed at the district headquarters, where some facilities that did not meet selection criteria and data collection requirements were dropped from the sample. These were replaced by facilities from the reserve list. Overall, 30 facilities were replaced.

The sample was designed in such a way that the proportion of facilities drawn from different regions and ownership categories broadly mirrors that of the universe of facilities. Because no nationwide census of for-profit health facilities is available, it is difficult to assess the extent to which the sample is representative of this category. A census of health care facilities in selected districts, carried out in the context of the Delivery of Improved Services for Health (DISH) project supported by the U.S. Agency for International Development (USAID), suggests that about 63 percent of all facilities operate on a for-profit basis, while government and nonprofit providers run 26 and 11 percent of facilities, respectively. This would suggest an undersampling of private providers in the survey. It is not clear, however, whether the DISH districts are representative of other districts in Uganda in terms of the market for health care.

For the exit poll, 10 interviews per facility were carried out in approximately 85 percent of the facilities. In the remaining facilities the target of 10 interviews was not met, as a result of low activity levels.

Sampling deviation

In the first stage in the sampling process, eight districts (out of 45) had to be dropped from the sample frame due to security concerns. These districts were Bundibugyo, Gulu, Kabarole, Kasese, Kibaale, Kitgum, Kotido, and Moroto.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available:

• District Health Team Questionnaire;
• District Facility Data Sheets;
• Uganda Health Facility Survey Questionnaire;
• Facility Data Sheets;
• Facility Patient Exit Poll Questionnaire.

The survey collected data at three levels: district administration, health facility, and client. In this way it was possible to capture central elements of the relationships between the provider organization, the frontline facility, and the user. In addition, comparison of data from different levels (triangulation) permitted cross-validation of information.

At the district level, a District Health Team Questionnaire was administered to the district director of health services (DDHS), who was interviewed on the role of the DDHS office in health service delivery. Specifically, the questionnaire collected data on health infrastructure, staff training, support and supervision arrangements, and sources of financing.

The District Facility Data Sheet was used at the district level to collect more detailed information on the sampled health units for fiscal 1999-2000, including data on staffing and the related salary structures, vaccine supplies and immunization activity, and basic and supplementary supplies of drugs to the facilities. In addition, patient data, including monthly returns from facilities on total numbers of outpatients, inpatients, immunizations, and deliveries, were reviewed for the period April-June 2000.

At the facility level, the Uganda Health Facility Survey Questionnaire collected a broad range of information related to the facility and its activities. The questionnaire, which was administered to the in-charge, covered characteristics of the facility (location, type, level, ownership, catchment area, organization, and services); inputs (staff, drugs, vaccines, medical and nonmedical consumables, and capital inputs); outputs (facility utilization and referrals); financing (user charges, cost of services by category, expenditures, and financial and in-kind support); and institutional support (supervision, reporting, performance assessment, and procurement). Each health facility questionnaire was supplemented by a Facility Data Sheet (FDS). The FDS was designed to obtain data from the health unit records on staffing and the related salary structure; daily patient records for fiscal 1999-2000; the type of patients using the facility; vaccinations offered; and drug supply and use at the facility.

Finally, at the facility level, an exit poll was used to interview about 10 patients per facility on the cost of treatment, drugs received, perceived quality of services, and reasons for using that unit instead of alternative sources of health care.

Cleaning operations

Detailed information about data editing procedures is available in "Data Cleaning Guide for PETS/QSDS Surveys" in external resources.

STATA cleaning do-files and the data quality reports on the datasets can also be found in external resources.