The Commonwealth of the Northern Mariana Islands Summary File contains data on population and housing subjects compiled from questions on the 2010 Commonwealth of the Northern Mariana Islands Census questionnaire. Population subjects include age, sex, children ever born, citizenship status, foreign-born status, disability status, educational attainment, ethnic origin or race, family type, grandparents as caregivers, group quarters population, health insurance coverage status, household type and relationship, employment status and subsistence activity, work experience, class of worker, industry, occupation, place of work, journey to work, travel time to work, language spoken at home and frequency of language usage, marital status, nativity, year of entry, place of birth, parents' place of birth, earnings, income, remittances sent abroad, poverty status, residence in 2009, reason for moving, school enrollment, vocational training, military dependents and veteran status. Housing subjects include air conditioning, battery-operated radio ownership, computer ownership, gross rent, internet service, kitchen facilities, cooking facilities, mortgage status, number of rooms, number of bedrooms, occupancy status, occupants per room, plumbing facilities, condominium fee, selected monthly owner costs, sewage disposal, water supply, source of water, telephone service available, tenure, type of building materials, units in structure, vacancy status, value of home, vehicles available, year householder moved into unit and year structure built. The data are organized in 411 tables, one variable per table cell, which are presented at up to 19 levels of observation, including the Commonwealth of the Northern Mariana Islands as a whole, municipalities, election districts, villages, census tracts, block groups, blocks and 5-digit ZIP Code Tabulation Areas. Fifty tables are presented at the block level and higher, 255 at the block group level and higher and 106 at the census tract level and higher. Additionally, the tables are iterated for the urban and rural geographic components of municipalities and 21 geographic components of the Commonwealth of the Northern Mariana Islands as a whole: 15 urban components (total urban, urbanized areas, urban clusters, and urbanized areas and urban clusters of various population sizes) and 6 rural components (total rural, rural areas outside places, rural areas inside places and inside places of various population sizes). Due to problems in the initial version, the Census Bureau ultimately issued the tables as three data products. The first or main release comprises 34 data files with all the tables except PBG7 (Nativity by Citizen Status by Year of Entry), PBG9 (Year of Entry for the Foreign-born Population) and ten tables on selected monthly owner costs, the tables HBG75, HBG76, HBG77, HBG78, HBG79, HBG80, HBG81, HCT18, HCT19 and HCT20. The second, called the Commonwealth of the Northern Mariana Islands Year of Entry Summary File, consists of two data files with the tables PBG7 and PBG9. The third is a document file with the ten tables on selected monthly owner costs. ICPSR provides each product as a separate ZIP archive. The archive with the selected monthly owner costs tables also includes additional technical documentation prepared by the Bureau.

In January 2013, the Urban Institute launched the Health Reform Monitoring Survey (HRMS), a survey of the nonelderly population, to explore the value of cutting-edge, Internet-based survey methods to monitor the Affordable Care Act (ACA) before data from federal government surveys are available. Topics covered by the 21st round of the survey (June 2022) include self-reported health status, health insurance coverage, access to health care, disability, COVID-19, awareness of the Medicaid continuous coverage requirement, past-due medical debt, unfair treatment in health care settings, food security, and access to transportation. Additional information collected by the survey includes age, gender, sexual orientation, marital status, education, race and ethnicity, United States citizenship, housing type, home ownership, internet access, income, and employment status.

The American Samoa Summary File contains data on population and housing subjects compiled from questions on the 2010 American Samoa Census questionnaire. Population subjects include age, sex, children ever born, citizenship status, foreign-born status, disability status, educational attainment, ethnic origin or race, family type, grandparents as caregivers, group quarters population, health insurance coverage status, household type and relationship, employment status and subsistence activity, work experience, class of worker, industry, occupation, place of work, journey to work, travel time to work, language spoken at home and frequency of language usage, marital status, nativity, year of entry, place of birth, parents' place of birth, earnings, income, remittances sent abroad, poverty status, residence in 2009, reason for moving, school enrollment, vocational training, military dependents and veteran status. Housing subjects include air conditioning, battery-operated radio ownership, computer ownership, gross rent, internet service, kitchen facilities, cooking facilities, mortgage status, number of rooms, number of bedrooms, occupancy status, occupants per room, plumbing facilities, condominium fee, selected monthly owner costs, sewage disposal, water supply, source of water, telephone service available, tenure, type of building materials, units in structure, vacancy status, value of home, vehicles available, year householder moved into unit and year structure built. The data are organized in 405 tables, one variable per table cell, which are presented at up to 19 levels of observation, including American Samoa as a whole, districts (including two separate atolls), counties, villages, census tracts, block groups, blocks and 5-digit ZIP Code Tabulation Areas. Fifty tables are presented at the block level and higher, 250 at the block group level and higher and 105 at the census tract level and higher. Additionally, the tables are iterated for the urban and rural geographic components of districts/atolls and 21 geographic components of American Samoa as a whole: 15 urban components (total urban, urbanized areas, urban clusters, and urbanized areas and urban clusters of various population sizes) and 6 rural components (total rural, rural areas outside places, rural areas inside places and inside places of various population sizes). Due to problems in the initial version, the Census Bureau ultimately issued the tables as three data products. The first or main release comprises 32 data files with all the tables except PBG7 (Nativity by Citizen Status by Year of Entry), PBG9 (Year of Entry for the Foreign-born Population) and ten tables on selected monthly owner costs, the tables HBG72, HBG73, HBG74, HBG75, HBG76, HBG77, HBG78, HCT17, HCT18, and HCT19. The second, called the American Samoa Year of Entry Summary File, consists of two data files with the tables PBG7 and PBG9. The third is a document file with the ten tables on selected monthly owner costs. This data collection comprises a codebook and three ZIP archives. The first archive contains the 32 data files in the main release, the second the two Year of Entry data files and the third contains the document file with the ten selected monthly owner costs tables and additional technical documentation.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status.

The Australian Youth Survey (AYS) is a longitudinal survey program based on annual interviews with a cohort of young people aged 16-19 in 1989, with a new sample of 16 year olds added each year from 1990-1994. From 1995, no further additions were made to the sample and interviews were conducted by telephone rather than face-to-face. The survey aims mainly at providing data on the dynamics of the youth labour market, and in particular to address questions which are not readily covered with available sources of cross-sectional data. Labour market topics include detailed work history, job search behaviour, job training and experience with the Commonwealth Employment Service. Other topics related to the main labour market theme include secondary schooling and retention to Year 12, career advice, post-secondary education and qualifications, transition from school/study to work, health, housing and financial conditions. Basic demographic variables include age, sex, marital status, size of household, country of birth, racial origin, parental education and occupation, religion, income, and area of residence.

The Covid-19 disease is resurging across the United States and vaccine hesitancy remains a major obstacle to reaching the expected threshold for herd immunity. Using the nationally representative cross sectional Household Pulse Survey (HPS) Data published by the U.S. Census Bureau, this study identified demographic, socio-economic, and medical-psychological determinants of Covid-19 vaccination. Results revealed significant differences in Covid-19 vaccine uptake due to age, sex, sexual orientation, race or ethnicity, marital status, education, income, employment form, housing and living condition, physical illness, mental illness, Covid-19 illness, distrust of vaccines and beliefs about the efficacy of vaccines. Government policymakers need to be cognizant of these determinants of vaccine hesitancy when formulating policies to increase vaccine uptake and control the COVID-19 pandemic. The findings of this study suggest that segmented solutions to reach vulnerable groups like racial minorities and homeless people are needed to win the trust and optimize vaccine uptake.

The purpose of the study: to explore the views of the Lithuanian population on the social consequences of the COVID-19 pandemic and quarantine with a particular focus on everyday life practices, changes in the quality of democracy. Major investigated questions: respondents were asked how safe they currently feel in general, more specifically in their local environment, their place of residence, Lithuania, the European Union and the world. Given the block of questions, they were asked to rate their content with some aspects of their life (living conditions, personal security - 5 choices in total). They were asked if they were happy and how life in Lithuania and their personal life has changed over the last 12 months. Several statements were used to explore their views on how they feel about their life (I always feel optimistic about the future - 3 choices in total). People were asked to assess whether they have full freedom of choice and decide for themselves how to live their lives or whether in life there is little that depends on them, and whether it is people’s responsibility to look after their own well-being or is it the state that has to look after their well-being. They were asked if, while thinking about the future, they feel anxious about the fate of one’s self, their loved ones, the state of Lithuania, and the whole world. They were asked how important world problems are for Lithuania (military conflicts beyond the EU borders - 4 choices in total). Asked how they feel about the risk of contracting COVID-19 personally. Respondents were asked when the coronavirus pandemic will end and whether they would agree with a mandatory coronavirus vaccination. Opinions were analysed on whether it would be possible to travel abroad as easily next summer (2021) as it was possible before the coronavirus pandemic. Respondents were asked what they envisioned as their holiday destination for next summer and whether they would agree with having a mandatory mobile phone app which accurately tracks the movements of all Lithuanian citizens. Next, a group of statements was given for the assessment (there is no COVID-19 virus, most likely, there are flaws in the democratic system, but such a system is better than other forms of government - 5 choices in total). The respondents assessed whether Russia, the Belarusian regime and refugees from Asia and Africa are a threat to Lithuania's security. They were asked whether they would accept tackling the coronavirus pandemic more effectively by having the surveillance and filming equipment installed in all public spaces; having travel abroad banned for Lithuanian citizens; the arrival to Lithuania banned for foreigners; the freedom of the press restricted, while the personal health data would be open to access. Continuing on the same topic of tackling the coronavirus pandemic more effectively, there were questions about whether the public would agree to all schools being closed for an academic year until the summer holidays and that pupils would start remote learning; primary school pupils would be taught at school for the academic year until the summer holidays and all other older pupils would be taught remotely; all employees whose work can be done remotely would work from home until the summer; all shops and supermarkets would be closed, leaving only grocery stores open, and, finally, there would be a one-month ban on leaving the house. The survey went on to ask who was more responsible for preventing a second wave of the coronavirus pandemic from happening - the respondents personally or the government. There was a request to assess the statement that "it would be better to dismiss Seimas and elections, and have a strong leader who can quickly solve anything instead". People were asked whether in Lithuania, they would personally attend a protest, just like the ones that take place in various foreign countries that are against the restrictions on life restraints provided by governments because of the coronavirus epidemic. It went on to assess respondents' trust in scientists, medical professionals and politicians, as well as in the actions of the Skvernelis-led government to control the coronavirus pandemic in Lithuania. They were asked whether they would get vaccinated once the coronavirus vaccine becomes available and had to state the purpose. They were asked whether they had to spend some time in self-isolation because of the pandemic and whether they would defend Lithuania if the nation was at war. At the end of the survey, respondents were given the opportunity to indicate which political party's views they felt were closest to their own. Socio-demographic characteristics: health, average monthly family/household income, employment, gender, size of the place, age, marital status, education, household size, age of children, square metres of the apartment.

This analysis, produced by the Office for National Statistics (ONS), examines how taxes and benefits redistribute income between various groups of households in the United Kingdom. It shows where different types of households and individuals are in the income distribution and looks at the changing levels of income inequality over time. The main sources of data for this study are:

• Family Expenditure Survey (FES) from 1977-2001
• Expenditure and Food Survey (EFS) from 2001-2007
• Living Costs and Food Survey (LCF) from 2008 onwards

Some variables have been created by combining data from the LCF (previously FES or EFS) with control totals from a variety of different government sources, including:

• United Kingdom National Accounts (ONS Blue Book)
• HM Revenue and Customs (HMRC)
• Department for Transport (DfT)
• Department of Health (DH)
• Department for Education and Employment (DfEE)
• Department for Communities and Local Government (DCLG)

The Effects of Taxes and Benefits on Household Income (ETB) has been produced each year since 1961 and is an annual analysis looking at how taxes and benefits affect the income of households in the UK. The estimates in this analysis are based mainly on data derived from the LCF Survey, which replaced the Family Expenditure Survey (FES) from 2001/02, and was known as the EFS until 2008. The LCF is an annual survey of the expenditure and income of private households. People living in hotels, lodging houses, and in institutions such as old people’s homes are excluded. Each person aged 16 and over keeps a full record of payments made during 14 consecutive days and answers questions about hire purchase and other payments; children aged 7 to 15 keep a simplified diary. The respondents also give detailed information, where appropriate, about income (including cash benefits received from the state) and payments of Income Tax. Information on age, occupation, education received, family composition and housing tenure is also obtained. The survey is continuous, interviews being spread evenly over the year to ensure that seasonal effects are covered. The Family Spending publication also includes an outline of the survey design.

The LCF data used in this analysis are grossed so that totals reflect the total population of private households in the UK. The weights are produced in two stages. First the data is weighted to compensate for non-response (sample-based weighting). The non-response weights are then calibrated so that weighted totals match population totals for males and females in different age groups and for different regions and countries (population-based weighting). The results in the analysis are weighted so that statistics represent the total population in private households in the UK based on 2011 Census data. In 2013/14, an additional calibration to Labour Force Survey (LFS) employment totals was also applied.

There are a number of different measures of income used, the most common of which is probably household disposable income. This is the total income households receive from employment (including self-employment), income from private pensions, investments and other sources, plus cash benefits (including the state pension), minus direct taxes (including income tax, NI and council tax). Income is normally analysed at the household level as this provides a better measure of people's economic well-being; while income is usually received by individuals, it is normally shared with other household members (e.g. spouse/partner and children).

In 2018/19 a further adjustment was applied to the data to adjust for the under coverage and under-reporting of income of the richest individuals. This method is often referred to as the 'SPI adjustment' owing to its use of HM Revenue and Customs (HMRC's) Survey of Personal Incomes (SPI). For further details please see the ETB https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/methodologies/theeffectsoftaxesandbenefitsonukhouseholdincome" style="background-color: rgb(255, 255, 255);">Quality and methodology information webpage and the https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/articles/theeffectsoftaxesandbenefitsonhouseholdincome/financialyearending2019" style="background-color: rgb(255, 255, 255);">Effects of taxes and benefits on household income technical report.

The Living Costs and Food Survey (LCF) is the source of the microdata on households from 2008-09 onwards. Previously, the Expenditure and Food Survey (EFS) was the data source. Derived variables are created using information from LCF and control totals from a variety of different government sources including the United Kingdom National Accounts (ONS Blue Book), HM Revenue and Customs, Department for Transport, Department of Health, Department for Education and Employment, and Department for Communities and Local Government.

For further information, see the ONS Effects of taxes and benefits on household income webpage.

Variables available in the Secure Access version
The Secure Access version of the ETB datasets include additional variables not included in the standard End User Licence (EUL) versions (available under GN 33299). Extra variables include:

• CASENO (case number): all years
• CESAGE (age of chief economic supporter): 1991-2015
• CESEMPST (economic position of chief economic supporter): 1991-2015
• GGOR (Government Office Region): 2000-2015
• CES (chief economic supporter flag): 2001-2015

Prospective users of a Secure Access version of the ETB will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access version.

The second edition (June 2021) includes data files for 2016/17, 2017/18 and 2018/19. The documentation has been updated accordingly.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status. There are no publicly available data files for this study. The naming conventions were maintained from the original pre-ICPSR release and the PUDS file is restricted use along with the qualitative data (MS Excel) file. Before applying for access to these data please refer to the Approved Requests for USTS Data. These abstracts describe work currently in progress, and we provide them to help reduce the risk of duplication of research efforts.