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..This table provides geographical mobility for persons relative to their residence at the time they were surveyed. The characteristics crossed by geographical mobility reflect the current survey year..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..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Description of the situation in family, everyday life, home and living environment. Gender role. Health. Knowledge of foreign languages. Occupation. Political issues.

1. Face-to-face interview: Occupation: sex; age (year of birth); employment in the last week; reasons why not employed; employment in the past; age at dismissal of last job; weekly working time in full-time occupation and in possible side jobs; professional position; registration with a temporary employment agency; supervisor function; commuting; travel time to the workplace (hours and minutes); employment in the public service, in a self-employed company, headquarters or branch of a company; sector; profession (ISCO); weekly working days; regular number of hours per week; length of service in years; company size; union membership; job satisfaction; intention to terminate employment; endangerment of employment; assessment of opportunities to find an equivalent job in the case of job loss; current job search.

Family: marital status; description of the employment situation of the partner: weekly working hours in full-time jobs and possible part-time jobs, professional status, supervisor function, sector, profession (ISCO), number of working days per week, regular weekly working hours; length of service in years, size of company; age of partner; cohabitation with the partner; living together with one or both parents of the respondent or his or her partner; details of the respondent´s and partner’s parents: age, marital status, current employment of the parents; number of children (including deceased); details of all children: sex, still living in the parental household, age, marital status, occupation; household size; household composition; information on all family members with regard to: kinship, sex and age; number of family members who are temporarily separated from the family, their relationship to the respondent and reason for living apart from the family; head of the household; sources of household income and main source of income; self-assessment on an top-bottom scale; degree of urbanization; gross household income of the last year; income of the respondent and his or her spouse (n each case altogether and in the main occupation); number of siblings of the respondent and his or her spouse (including deceased); position in the line of siblings.

Related to the respondent when he was 15 years old: size of the place of residence at that time; village character of the place of residence; parent’s style of upbringing; professional position and profession (ISCO) of the father; size of the company of the father´s employer company at that time; professional position of the mother; educational level of respondent, partner and parents; for the respondent and the partner was asked: degree or abandonment of the last school attended; school year if still attending school; attendance of a technical school.

First job after graduation: duration between graduation and start of work; professional position and profession (ISCO) of the respondent; company size.

1. Self-administered questionnaire (drop off): two different questionnaires are used. Methodically variations of questioning for individual questions or question complexes.

Questionnaire A: Daily life: television consumption per day; number of books read monthly; frequency of reading newspapers; communication media: computer use (at home, at work/school), use of mobile phone, searching for information via Internet or mobile phone, Internet shopping, online banking and creation of web pages; frequency of use of a mobile phone; sending e-mails via PC or mobile phone; frequency of: sports activities, family dinners, dinners with friends, cooking dinner, grocery shopping, laundry, house cleaning and disposal of waste; frequency of holidays longer than two days.

Health: self-assessment of the state of health; smoker status; attempts to quit smoking; drinking habits; traumatic experiences in the last five years; satisfaction with: living environment, leisure activities, family life, financial situation of the household, friendships, health, partnership; happiness.

Foreign languages: self-assessment of English skills (language and reading skills); application of English skills: business, social, movies, music, books, Internet use, overseas travel; advantageousness of improved knowledge of English for work, hobby or personal relationships; preferred time for English lessons at school; English lessons are given before secondary school (junior high school).

Living conditions and politics: housing status and type of house (detached house or housing complex); personal use of ecological products: solar energy, night current, gas-powered hot water heating with domestic power generation (Ecowill), heat exchangers (Ecocute), low-emission vehicle (hybrid cars); years in the dwelling; connection with the place of residence; change in the financial situation in the last few years; comparison of the...

• Nationality of the interviewee
• Assessment of the economic situation in Spain, current, retrospective and prospective to one year.
• Evaluation of the political situation in Spain, current, retrospective and prospective to one year.
• Most important problems in Spain. Problems that, personally, most affect you.
• Intention to be informed about different topics.
• Topics on which you are better informed and on which you talk more frequently with friends or colleagues.
• Activities in which free time is used.
• Frequency of monitoring sports information in different media and attendance at sports events.
• Type of sports shows you have attended.
• Degree of interest in sport.
• Sports practice today, people who practice it and reasons why sport is practiced.
• Sports you practice and how often you practice.
• Reasons for abandoning the practice or for not practicing sport.
• Practice of walking or walking fast to maintain or improve your physical shape and frequency. Self-perception about your current physical form.
• Degree according to different phrases about what sport is.
• Degree of pride before a good performance of Spain in a sports championship.
• Sports of interest.
• Closeness to a football team, nearest football team(s) and activities he/she has carried out by proximity to a football team.
• Desire to have a child who does high competition or professional sports.
• Sports practice of the parents of the person interviewed.
• Free time available in one working day.
• Personal happiness scale (0-10).
• Preference between different alternatives of territorial organization of the State in Spain.
• Nationalist feeling.
• Ideological self-location scale (1-10).
• Voting participation and remembrance in the 2011 general election.
• Religiousness and religious practice of the person interviewed.
• Assessment of the current and prospective personal economic situation (1 year).
• Relationship with the head of household or who contributes more income to the household.
• Employment status of the person interviewed. Probability of losing or finding employment in the next 12 months.
• Occupation and branch of activity of the father and mother when the person interviewed was 16 years old. Household income.
• Time of acquisition of Spanish nationality. Level of knowledge of Spanish of the interviewee and attributed by the interviewee.

The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.

The questionnaire contains numerous experimental variations in the survey instruments as well as a cross-questionnaire experiment. Further information can be found in the study documentation.

Topics: German citizenship or indication of foreign citizenship; number of household members (household size); age (classified) and gender of persons in the household and their relationship to the respondent; current or former employment status; current or former occupational position; religion; self-assessment of religiousness; computer use outside the survey; confidence in using computers; satisfaction scale for selected areas of life (family life, leisure, financial situation and work); social activity: active or passive membership in selected associations and organisations (sports, music or cultural associations, human rights, environment or animal welfare associations, charitable or relief organisations, religious or church organisations, youth, parents´ or senior citizens´ associations, citizens´ initiatives, professional associations, trade unions, political parties or others); voting behaviour in the last Bundestag election (second vote); party preference (Sunday question); left-right self-assessment; left-right-assessment of the parties CDU, CSU, SPD, FDP, Bündnis 90/Die Grünen, Die Linke, NPD, Piratenpartei and Alternative für Deutschland; party affiliation and party identification; internal political effectiveness (Efficacy: good understanding of important political issues, reliance on one´s own political expertise in political discussions); external political effectiveness (politicians strive for close contact with the population, politicians care what ordinary people think); psychological self-characterization (Big 5: reserved, trusting, lazy, relaxed, little artistic interest, sociable, inclination to criticize others, thorough, nervous, active imagination); financial situation: personal net income; number of people contributing to household income; household net income.

The following questions were asked only to participants who had taken part in the 1st or 2nd wave of the survey:

Sample 2012: German citizenship or indication of foreign citizenship; marital status; federal state of main residence; highest school leaving certificate; highest vocational qualification; frequency of Internet use for private purposes.

Sample 2014: Years of professional and private computer use; display of the checkbox ´erst seit Beginn der Teilnahme an der Studie´; use of several e-mail addresses; frequency of e-mail retrievals within one week; time at which e-mails are retrieved; completion of questionnaire directly after receipt of e-mail with invitation to a new survey or at a later time.

Demography: sex; citizenship; year of birth (categorised); highest school leaving certificate; highest vocational qualification; marital status; number of household members (household size); employment status; federal state; year of recruitment.

Additionally coded was: interview date; questionnaire evaluation; assessment of the survey as a whole; answer field further comments were not filled in; unique ID, household identifier and person identifier within the household; experimental variables.

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..This table provides geographical mobility for persons relative to their residence at the time they were surveyed. The characteristics crossed by geographical mobility reflect the current survey year..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, 2023 American Community Survey 1-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..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..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..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

• Nationality of the interviewee.
• Assessment of the economic situation in Spain, current, retrospective and prospective to one year.
• Evaluation of the political situation in Spain, current, retrospective and prospective to one year.
• Most important problems in Spain. Problems that, personally, most affect you.
• Frequency of monitoring of the policy through various media.
• Confidence scale (0-10) in people.
• Status of membership of different associations and length of service in the association.
• Main reason to belong to associations.
• Main reason why it ceased to belong to these associations or groups.
• Reasons for not belonging to associations (2).
• Forms of social and political action in which they have participated and the possibility of participating in the future. Frequency with which he has had different feelings when participating in different forms of social and political action.
• Internet use in the last twelve months, frequency of access in the last 12 months and main uses given to the Internet. Participatory activities carried out through the Internet.
• Financial contribution to non-governmental organizations in the last year.
• Performing volunteer work in various areas in the last 12 months and before.
• Frequency of volunteer work during the last year.
• Number of hours of volunteer work performed per week.
• Degree of likelihood of collaboration with an NGO.
• Preference between different alternatives of territorial organization of the State in Spain.
• Nationalist feeling.
• Ideology scale of the interviewee.
• Participation and remembrance of vote in the 2011 general election.
• Religious practice.
• Assessment of personal economic situation and prospective assessment (1 year).
• Coexistence situation.
• Possession of minor children, number and ages.
• Personal assistance to the elderly or chronically ill.
• Free time available in one working day. Probability of losing or finding current employment in the next 12 months.
• Occupation and branch of activity of the father and mother when the person interviewed was 16 years old. Household income. Personal income.
• Time of acquisition of Spanish nationality. Level of knowledge of Spanish of the interviewee and attributed by the interviewer.