Internet Users Survey - Ratio of Percentage Based on Educational Group since 2012

This is a development key figure, see questions and answers on kolada.se for more information. Number of people living in group housing LSS who have answered All to the question Do the staff at home understand what you are saying? divided by all people living in group housing LSS who have answered the question. The answer options were Everyone, Some, None. The survey is not a total survey why the result for a municipality may be based on a smaller number of users’ answers, but at least five. For some municipalities, users are included in both the municipality’s own and other directories (private/ideal), for some only users on their own and for others only users on a different direction. The survey has been conducted with a web-based tool for surveys, adapted to people with disabilities. Data is available according to gender breakdown.

This dataset is the result of an online survey the authors conducted in the German agricultural science community in 2020. The survey inquires not only about the status quo, but also explicitly about the wishes and needs of users, representing the agricultural scientific research domain, of the in-progress NFDI (national research data infrastructure). Questions cover information about produced and (re-)used data, data quality aspects, information about the use of standards, publication practices and legal aspects of agricultural research data, the current situation in research data management in regards to awareness, consulting and curricula as well as needs of the agricultural community in respect to future developments. In total, the questionnaire contained 52 questions and was conducted using the Community Edition of the Open Source Survey Tool LimeSurvey (Version 3.19.3; LimeSurvey GmbH). The questions were accessible in English and German. The first set of questions (Questions 1-4) addressed the respondent’s professional background (i.e. career status, affiliation and subject area, but no personal data) and the user group. The user groups included data users, data providers as well as infrastructure service and information service providers. Subsequent questions were partly user group specific. All questions, the corresponding question types and addressed user groups can be found in the questionnaire files (Survey-Questions-2020-DE.pdf German Version; Survey-Questions-2020-EN.pdf English Version). The survey was accessible online between June 26th and July 21st 2020, could be completed anonymously and took about 20 minutes. The survey was promoted in an undirected manner via mail lists of agricultural institutes and agricultural-specific professional societies in Germany, via social media (e.g. Twitter) and announced during the first community workshop of NFDI4Agri on July 15th 2020 and other scientific events. After closing the survey, we exported the data from the LimeSurvey tool and initially screened it. We considered all questionnaires that contained at least one answered question in addition to the respondent’s professional background information (Questions 1-4). In total, we received 196 questionnaires of which 160 were completed in full (although not always every answer option was used, empty cells are filled with “N/A”). The main data set contains all standardized answers from the respondents. For anonymization, respondents’ individual answers, for instance, free text answers, comments and details in the category "other” were removed from the main data set. The main data set only lists whether such information was provided (“Yes”) or not (“No” or “N/A”). In an additional file respondents’ individual answers of the questions 4-52 are listed alphabetically, so that it is not possible to trace the data back. In the rare cases where only one person has provided such individual information in an answer, it is traceable but does not contain any sensitive data. The main data set containing answers of the 196 questionnaires received can be found in the file Survey-2020-Main-DataSet-Answers.xlsx. The subsidary data set containing the respondents’ individual answers (most answers are in German and are not translated) of the questions 4-52, for instance, free text answers, comments and details in the category "other” (alphabetically listed) can be found in Survey-2020-Subsidary-DataSet-Free_Text_Answers.xlsx.

The Annual Population Survey (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The household data comprise key variables from the Labour Force Survey (LFS) and the APS 'person' datasets. The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household-level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition, they also include more detailed geographical, industry, occupation, health and age variables.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

End User Licence and Secure Access APS data
Users should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to:

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

This dataset presents ChatGPT usage patterns across different age groups, showing the percentage of users who have followed its advice, used it without following advice, or have never used it, based on a 2025 U.S. survey.

The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.

For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.

Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022

APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.

APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.

• age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child
• family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family
• nationality and country of origin
• geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district
• health: including main health problem, and current and past health problems
• education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships
• industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from
• occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from
• system variables: including week number when interview took place and number of households at address

The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.

Latest edition information

For the second edition (June 2025) updated versions of the weighting variables NPWT22, PIWTA22 and PWTA22 were added to the study. The reason for the adjustment is an issue ONS identified during a recent review of the weighting method, related to the application of the non-response adjustment for boost cases. In addition, the variable YLESS20 was also updated, and DIFFHR6 was replaced with DIFFHR20. Previously missing imputed values for 'IOUTCOME=6' cases have been added.

As of June 2025, 24.2 percent of Facebook users in the United States were aged between 25 and 34 years, making up Facebook’s largest audience in the country. Overall, almost 19 percent of users belonged to the 18 to 24-year age group. Does everyone in the U.S. use Facebook? In 2024, there were approximately 250 million Facebook users in the U.S., a figure which is projected to steadily increase, and reach 262.8 million by 2028. Social media users in the United States have a very high awareness of the social media giant. Expectedly, 94 percent of users had heard of the brand in 2025. Although the vast majority of U.S. social networkers knew of Facebook, the likeability of the platform was not so impressive at 68 percent. Nonetheless, usage, loyalty, and buzz around the brand remained relatively high. Facebook, Meta, and the metaverse A strategic rebranding from Facebook to Meta Platforms in late 2021 boded well for the company in Mark Zuckerberg’s attempt to be strongly linked to the metaverse, and to be considered more than just a social media company. According to a survey conducted in the U.S. in early 2022, Meta Platforms is the brand that Americans most associated with the metaverse.  

The surveys in this collection are used to gather qualitative and quantitative information directly from users or potential users of Board publications, resources, and conference materials, such as consumers (consumer surveys) and stakeholders (stakeholder surveys). Stakeholders may include, but are not limited to, nonprofits, community development organizations, consumer groups, conference attendees, financial institutions and other financial companies offering consumer financial products and services, other for profit companies, state or local agencies, and researchers from academic, government, policy and other institutions. Publications and resources may include reports and brochures, as well as audio and visual content, whether delivered in print, online, or through other means. The frequency of the survey and content of the questions will vary as needs arise for feedback on different resources and from different audiences.

According to a March 2025 survey conducted in the United States, there were around *** million users of Match Group's Tinder. Among the selected platforms, this was by far the most most popular in the country. Plenty of Fish had around **** million users, and the dating service Match had around **** million. Additionally, OkCupid amassed around *** million users.

At the end of 2015, the Jupyter Project conducted a UX Survey for Jupyter Notebook users. This dataset, Survey.csv, contains the raw responses.

See the Google Group Thread for more context around this dataset.

Handphone Users Survey - Awareness of Consumer Forum Malaysia (CFM) since 2012

This report presents a study conducted to identify and map the specific user requirements for web and social media archives. Researchers, librarians, archivists, and other stakeholders who engage with these digital resources were the focus. The central research question is: “What are user requirements for web and social media archives?” The study aimed to understand the needs and practices of diverse user groups to optimize the usability and effectiveness of these archives. By gathering detailed feedback, the study sought to inform the development of tools, interfaces, and methodologies that align with user expectations and support effective research and analysis. A survey was launched to collect broader insights into user requirements (see survey text and survey results). This survey ran from October 9 2024 till January 13 2025. To maximize outreach and participation, the survey was distributed through a variety of targeted channels. It was shared with an expert panel via Teams and email, as well as with contacts from the BESOCIAL and PROMISE projects. The survey link was included in the KBR newsletter and shared through relevant mailing lists such as IIPC, JISC, RESAW, and IFLA. It was also promoted within digital humanities communities, including DH Benelux and the DH Early Career Researcher Virtual Discussion Group. A temporary pop-up was added to the KBR website and catalogue to attract visitors organically. Additionally, the survey was promoted on social media channels of KBR and partner institutions, and efforts were made to engage organisers of the Praktijknetwerk Sociale Media Archiveren and researchers at UCLouvain to support further distribution. The survey explored four key areas: content selection, search interface functionalities, API access, and content enrichment, while also collecting basic demographic information and details on respondents’ experience with web archives. This multi-channel dissemination strategy ensured diverse participation, including researchers, librarians, and professionals from libraries, archives, and heritage institutions.

Footprints of existing lakebed surveys classified by the type of survey used to collect data. The type of survey conveys the survey's objectives and is associated with the type of data collected.

Survey on Homeless Persons: Homeless persons who are users of group accommodation by possibility of receiving mail, possibility of receiving phone calls and absolute value/percentage. National.

In 2015 a working group was commissioned by LIBER, the Association of European Research Libraries, charged with investigating lessons learned and good practices in library support, as well as identifying new and developing library services by means of various tools and methods. A survey was initiated in order to investigate the subject matter. It was administered to all 308 LIBER university libraries in May of 2017.

Results from a Public Data Group survey of user of datasets produced by its members. The Public Data Group consists of 4 agencies - Met Office, HM Land Registry, Companies House and Ordnance Survey - sponsored by the Department for Business, Innovation and Skills. The survey was conducted to increase understanding of organisations which use data or subsets of data and to improve the delivery of these datasets. The Public Data Group Statement 2015 includes references to this survey and the resulting actions.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for Russian represents the number of people who listed Russian as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because official data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..Methodological changes to citizenship edits may have affected citizenship data for those born in American Samoa. Users should be aware of these changes when using 2018 data or multi-year data containing data from 2018. For more information, see: American Samoa Citizenship User Note..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..In 2016, changes were made to the computer and Internet use questions, involving the wording as well as the response options. A crosswalk was used to map pre-2016 data to the post-2016 categories, enabling creation of 5-year data. For more detailed information about the 2016 changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html. For more detailed information about the crosswalk, see the user note regarding the crosswalk located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes.html..The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of M...

This data publication presents the anonymized original answers of the ICGEM user survey “Analysis and Future Plans with the SAMDAT Project”. In total, 112 respondents completed the survey. Data collection started on the 1st of September and ended on the 31st of October 2024. The survey was announced on the ICGEM website, and the questionnaire was integrated directly into the website. A separate page was developed explaining the survey purpose. Respondents were contacted via the ICGEM users mailing list, the geodesy mailing list, and LinkedIn. Responses were collected anonymously from the beginning. The objective of the survey is twofold: firstly, to ascertain the current user experience with the portal and, secondly, to identify potential areas for improvement of the service. The analysis identifies various user groups in order to find out how ICGEM can best serve the needs of a diverse range of geoscientific applications. It is crucial to comprehend user expectations, since ICGEM is dedicated to demand-driven development. Furthermore, the survey offers users the chance to indicate their priorities for planned features and extensions of the ICGEM platform within the SAMDAT project. The associated report (Torhov et al., 2025) presents the analyses of user feedback gathered from the global user community of the ICGEM Service (International Centre for Global Earth Models). ICGEM serves as a pivotal resource for gravity field modelling, serves as primary resource for global gravitational models and offers an array of interactive tools. Through the recently launched SAMDAT project, ICGEM continues to improve it service and web presentation. New gravity field functionals, datasets and improved metadata are planned to be introduced in alignment with community needs. This user survey was an important first step to collect feedback on the current and upcoming service portfolio of ICGEM. Survey data was collected through a questionnaire to assess scientific applications, uncover feature expectations, and identify opportunities for improvement. The results confirm ongoing project activities and set new directions such as in data representation, documentation and outreach.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for German represents the number of people who listed German as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..Estimates of urban and rural populations, housing units...

School enrollment data are used to assess the socioeconomic condition of school-age children. Government agencies also require these data for funding allocations and program planning and implementation.

Data on school enrollment and grade or level attending were derived from answers to Question 10 in the 2015 American Community Survey (ACS). People were classified as enrolled in school if they were attending a public or private school or college at any time during the 3 months prior to the time of interview. The question included instructions to “include only nursery or preschool, kindergarten, elementary school, home school, and schooling which leads to a high school diploma, or a college degree.” Respondents who did not answer the enrollment question were assigned the enrollment status and type of school of a person with the same age, sex, race, and Hispanic or Latino origin whose residence was in the same or nearby area.

School enrollment is only recorded if the schooling advances a person toward an elementary school certificate, a high school diploma, or a college, university, or professional school (such as law or medicine) degree. Tutoring or correspondence schools are included if credit can be obtained from a public or private school or college. People enrolled in “vocational, technical, or business school” such as post secondary vocational, trade, hospital school, and on job training were not reported as enrolled in school. Field interviewers were instructed to classify individuals who were home schooled as enrolled in private school. The guide sent out with the mail questionnaire includes instructions for how to classify home schoolers.

Enrolled in Public and Private School – Includes people who attended school in the reference period and indicated they were enrolled by marking one of the questionnaire categories for “public school, public college,” or “private school, private college, home school.” The instruction guide defines a public school as “any school or college controlled and supported primarily by a local, county, state, or federal government.” Private schools are defined as schools supported and controlled primarily by religious organizations or other private groups. Home schools are defined as “parental-guided education outside of public or private school for grades 1-12.” Respondents who marked both the “public” and “private” boxes are edited to the first entry, “public.”

Grade in Which Enrolled – From 1999-2007, in the ACS, people reported to be enrolled in “public school, public college” or “private school, private college” were classified by grade or level according to responses to Question 10b, “What grade or level was this person attending?” Seven levels were identified: “nursery school, preschool;” “kindergarten;” elementary “grade 1 to grade 4” or “grade 5 to grade 8;” high school “grade 9 to grade 12;” “college undergraduate years (freshman to senior);” and “graduate or professional school (for example: medical, dental, or law school).”

In 2008, the school enrollment questions had several changes. “Home school” was explicitly included in the “private school, private college” category. For question 10b the categories changed to the following “Nursery school, preschool,” “Kindergarten,” “Grade 1 through grade 12,” “College undergraduate years (freshman to senior),” “Graduate or professional school beyond a bachelor’s degree (for example: MA or PhD program, or medical or law school).” The survey question allowed a write-in for the grades enrolled from 1-12.

Question/Concept History – Since 1999, the ACS enrollment status question (Question 10a) refers to “regular school or college,” while the 1996-1998 ACS did not restrict reporting to “regular” school, and contained an additional category for the “vocational, technical or business school.” The 1996-1998 ACS used the educational attainment question to estimate level of enrollment for those reported to be enrolled in school, and had a single year write-in for the attainment of grades 1 through 11. Grade levels estimated using the attainment question were not consistent with other estimates, so a new question specifically asking grade or level of enrollment was added starting with the 1999 ACS questionnaire.

Limitation of the Data – Beginning in 2006, the population universe in the ACS includes people living in group quarters. Data users may see slight differences in levels of school enrollment in any given geographic area due to the inclusion of this population. The extent of this difference, if any, depends on the type of group quarters present and whether the group quarters population makes up a large proportion of the total population. For example, in areas that are home to several colleges and universities, the percent of individuals 18 to 24 who were enrolled in college or graduate school would increase, as people living in college dormitories are now included in the universe.