Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Germany population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Germany. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 376 (64.72% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Germany Population by Age. You can refer the same here
The project “Educational Success and Social Participation of Socially and Educationally Disadvantaged Students with Migration Background in Extended Education” (abbr. in German: GeLeGanz) was funded by the German Federal Ministry of Education and Research (BMBF) under the funding code 01JB211A-C from 2021 to 2025. Traditionally, the German education system is organized as a “half-day”-system; instruction usually takes place in the morning. Many stakeholders see the conversion from half-day to all-day schooling as a way of overcoming the challenges facing the system, including those posed by immigration. High expectations are attached to the expansion of all-day schooling, in particular the strengthening of the educational success and social participation of socially and educationally disadvantaged students with a migration background. As yet however, these goals have not been sufficiently achieved in Germany. Education systems in other countries have established comparable offerings of high quality that appear to be effective. The GeLeGanz project aims to use findings and knowledge from other countries to better exploit the potential of all-day schools in Germany, particularly at the primary school level. The primary focus of the GeLeGanz project is on the potential of all-day primary schools to improve the educational opportunities of socially and educationally disadvantaged students, in particular those who live in a migrant family. GeLeGanz is a collaborative project, carried out by three partners.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Germany township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Germany township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 1,775 (62.11% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Germany township Population by Age. You can refer the same here
The project “Immigrants’ Children in the German and Israeli Educational Systems” studies children and adolescents with and without migration background in the educational systems of Germany and Israel. It focuses on studying recent immigrant groups stemming from the Former Soviet Union (FSU) – Jewish and Ethnic German immigrants – in comparison to “older” immigrant groups – persons with Turkish migration background in Germany and Mizrahi in Israel – and the respective reference population (Germans without any migration background in Germany and Ashkenazim in Israel). In this longitudinal study, immigrants’ decision patterns at several educational transitions in their educational careers are examined and these patterns are compared to those of the native population. There is a focus on various resources (economic, social and cultural) that a successful educational career requires as well as on intergenerational transmission of resources from parents to children. Das Projekt "Kinder und Jugendliche mit Migrationshintergrund im deutschen und israelischen Bildungssystem" untersucht Kinder und Jugendliche mit und ohne Migrationshintergrund in den Bildungssystemen Deutschlands und Israels. Im Mittelpunkt steht die Untersuchung von „neueren“ Zuwanderergruppen aus der ehemaligen Sowjetunion - jüdische und ethnisch deutsche Zuwanderer - im Vergleich zu „älteren“ Zuwanderergruppen - Personen mit türkischem Migrationshintergrund in Deutschland und Mizrahi in Israel - und der jeweiligen Referenzbevölkerung (Deutsche ohne Migrationshintergrund in Deutschland und Aschkenasim in Israel). In der vorliegenden Längsschnittuntersuchung werden die Entscheidungsmuster von Zuwanderern an mehreren Bildungsübergängen in ihrer Bildungslaufbahn untersucht und mit denen der einheimischen Bevölkerung verglichen. Der Schwerpunkt liegt dabei auf verschiedenen Ressourcen (wirtschaftlichen, sozialen und kulturellen), die für eine erfolgreiche Bildungslaufbahn erforderlich sind, sowie auf der intergenerationellen Übertragung von Ressourcen von den Eltern auf die Kinder.
The project “Immigrants’ Children in the German and Israeli Educational Systems” studies children and adolescents with and without migration background in the educational systems of Germany and Israel. It focuses on studying recent immigrant groups stemming from the Former Soviet Union (FSU) – Jewish and Ethnic German immigrants – in comparison to “older” immigrant groups – persons with Turkish migration background in Germany and Mizrahi in Israel – and the respective reference population (Germans without any migration background in Germany and Ashkenazim in Israel). In this longitudinal study, immigrants’ decision patterns at several educational transitions in their educational careers are examined and these patterns are compared to those of the native population. There is a focus on various resources (economic, social and cultural) that a successful educational career requires as well as on intergenerational transmission of resources from parents to children. Das Projekt "Kinder und Jugendliche mit Migrationshintergrund im deutschen und israelischen Bildungssystem" untersucht Kinder und Jugendliche mit und ohne Migrationshintergrund in den Bildungssystemen Deutschlands und Israels. Im Mittelpunkt steht die Untersuchung von „neueren“ Zuwanderergruppen aus der ehemaligen Sowjetunion - jüdische und ethnisch deutsche Zuwanderer - im Vergleich zu „älteren“ Zuwanderergruppen - Personen mit türkischem Migrationshintergrund in Deutschland und Mizrahi in Israel - und der jeweiligen Referenzbevölkerung (Deutsche ohne Migrationshintergrund in Deutschland und Aschkenasim in Israel). In der vorliegenden Längsschnittuntersuchung werden die Entscheidungsmuster von Zuwanderern an mehreren Bildungsübergängen in ihrer Bildungslaufbahn untersucht und mit denen der einheimischen Bevölkerung verglichen. Der Schwerpunkt liegt dabei auf verschiedenen Ressourcen (wirtschaftlichen, sozialen und kulturellen), die für eine erfolgreiche Bildungslaufbahn erforderlich sind, sowie auf der intergenerationellen Übertragung von Ressourcen von den Eltern auf die Kinder. Mixed probability and non-probabilityMixedProbabilityNonprobability Kombination aus Zufallsstichprobe und Nicht-ZufallsstichprobeMixedProbabilityNonprobability Face-to-face interview: Paper-and-pencil (PAPI)Interview.FaceToFace.PAPI Persönliches Interview : Papier-und-Bleistift (PAPI)Interview.FaceToFace.PAPI Telephone interview: Computer-assisted (CATI)Interview.Telephone.CATI Telefonisches Interview: Computerunterstützte Befragung (CATI)Interview.Telephone.CATI
The research sets out to compare how British and German staff and students are changing in response to neoliberal influences in higher education. In the past, these two countries had a reasonably synoptic vision of values in higher education endorsing personal development, collegial community, pursuit of knowledge and academic freedom. Currently, a market forces model based on competition and choice is relativising some of these traditional values, and has penetrated much more deeply in the UK than in Germany. The research investigates whether expectations, academic values, work satisfaction levels and conceptions of human relationships now actually differ across the two systems: it finds, for example, that high study satisfaction on the part of UK students is ‘paid for’ by low job satisfaction on the part of staff. Methodologically, it is based upon surveys and interviews conducted among staff and students in 12 universities in each country. The data reveal participants’ perceptions of the strengths and weaknesses of each system, specifically in relation to Education. It highlights which features of modern-day academic life are accepted or rejected by staff, and what attitudes they take towards market-oriented reform. The UK staff feel over-worked, underpaid and downwardly mobile in terms of status in comparison with their German counterparts, but there is a love of the job that overrides all these negative feelings. Semi-structured interviews with staff in twelve HE institutions in the UK and twelve in the Federal Republic of Germany (FRG), and during the course of these interviews staff were asked to fill in questionnaires. Students too were given questionnaires, normally distributed during or at the end of class so as to avoid non-response rates. A sample of 90 staff was aimed for in each country; 87 in the UK and 82 in the FRG completed both questionnaires and interviews. 1489 UK students and 986 FRG students completed the questionnaire.
In a globalised world, understanding acculturation, the process by which individuals adapt to new cultural environments, is crucial, especially in multicultural societies experiencing increased migration. The East Asian Acculturation Measure (EAAM), based on Berry’s acculturation model, has been a cornerstone for assessing acculturation strategies among East Asian populations in the United States; however, its cultural specificity limits utility in broader contexts. This study addresses this gap by adapting and validating the EAAM for diverse populations, producing the Shortened Adapted Acculturation Scale (SAAS). Across two phases involving 490 university students from 87 nationalities in Germany and 329 university students from 25 nationalities in South Africa, both Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA) identified a five-factor structure: Social Disconnection, cultural adaptation, Social Perception, Interpersonal Comfort, and Language Integration. The SAAS showed high internal consistency and measurement invariance across genders. These results highlight the importance of culturally adapting psychological measures to ensure their relevance and reliability in global contexts. The SAAS offers practical benefits for clinicians, educators, and policymakers who serve multicultural populations. By illuminating specific dimensions of acculturation, the scale can help identify areas where targeted interventions such as mental health counselling, cultural orientation programs, or inclusive campus policies may foster better social integration and well-being. Although the present study focused on structural validity, future research should examine the SAAS’s predictive utility for mental health and social integration outcomes. These findings contribute to cross-cultural psychology and underline the need to refine and validate tools for assessing acculturation in an increasingly interconnected world.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the North Germany township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of North Germany township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 144 (49.48% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for North Germany township Population by Age. You can refer the same here
The housing situation of young people in the Federal Republic from one´s own view. Topics: detailed description of the residence; monthly burden or rent costs and additional costs; having a yard; individual room for the children; sense of well-being in one´s own children´s room; disturbing elements in one´s own children´s room; parents or young people selecting furnishings of children´s room; new acquisitions of items of furniture or use of used furniture for the children´s room; objects picked out oneself; persons responsible for cleaning up the children´s room; tasks in household; information on the rooms for eating, doing deskwork, sleeping, making things with one´s hands, playing and doing hobbies; rooms which the young person may not use and in which he is undisturbed; preferred residence floor-plan and preferred style for chairs, tables, desks, beds, closets, shelves and lamps; color preference; persons who also should like the desired room; circle of friends; satisfaction with size of circle of friends; places of contact with circle of friends and visits by friends in one´s own residence; frequency such visits and attitude of mother to visits by friends; judgement of the friends on one´s own room; pet possession; desire for a pet; child-raising style of mother and of father; prohibitions on the part of parents; amount of pocket-money; personal income; orientation of parents on the child; points of conflict in one´s family; judgement on the relationship of parents with each other and to respondent; family climate; judgement on the general political situation in Germany; right of a child to his own room; security rights and furnishing characteristics for a children´s room; sources of information about children´s room furnishings and raising children; vacation with parents; largest and second largest room; secondary use of bedroom and living room; moving frequency. Demography: sex; age of parents; marriage length of parents; residential status; old; school education and vocational training of parents; household income. Interviewer rating: city size; size of residence; number of rooms; residential furnishings; city proximity and age of residence; state; party preference; position in sibling sequence. Beyond this after seeing the children´s room the interviewer provided a detailed description of the room regarding window area, wall composition, floors and pieces of furniture. Die Wohnsituation der Jugendlichen in der Bundesrepublik aus eigener Sicht. Themen: Detaillierte Beschreibung der Wohnung; monatliche Belastung bzw. Mietkosten und Nebenkosten; Gartenbesitz; Einzelzimmer für die Kinder; Wohlfühlen im eigenen Kinderzimmer; störende Elemente im eigenen Kinderzimmer; Eltern oder Jugendlicher als Einrichter des Kinderzimmers; Neuanschaffungen der Einrichtungsgegenstände oder Verwendung von Gebrauchtmöbeln für das Kinderzimmer; selbst ausgesuchte Gegenstände; zuständige Personen für das Aufräumen des Kinderzimmers; Aufgaben im Haushalt; Angabe der Zimmer für Essensaufnahme, Anfertigen von Schreibarbeiten, Schlafen, Basteln, Spielen und Ausüben der Hobbys; Räume, die der Judendlicher nicht nutzen darf und in denen er sich ungestört zurückziehen kann; präferierter Wohnungsgrundriss und präferierter Stil für Stühle, Tische, Schreibtische, Betten, Schränke, Regale und Lampen; Farbpräferenz; Personen, denen das Wunschzimmer auch gefallen sollte; Freundeskreis; Zufriedenheit mit der Größe des Freundeskreises; Kontaktorte für den Freundeskreis und Besuch von Freunden in der eigenen Wohnung; Häufigkeit solcher Besuche und Einstellung der Mutter zum Freundesbesuch; Urteil der Freunde über das eigene Zimmer; Haustierbesitz; Haustierwunsch; Erziehungsstil der Mutter und des Vaters; Verbote von Seiten der Eltern; Taschengeldhöhe; eigenes Einkommen; Orientierung der Eltern auf das Kind; Konfliktpunkte in der Familie; Beurteilung des Verhältnisses der Eltern zueinander und zum Befragten; Familienklima; Beurteilung der allgemeinen politischen Situation in Deutschland; Anspruch eines Kindes auf ein Einzelzimmer; Sicherheitsansprüche und Ausstattungsmerkmale für ein Kinderzimmer; Informationsquellen über Kinderzimmereinrichtungen und über Kindererziehung; Urlaub mit den Eltern; größtes und zweitgrößtes Zimmer; Sekundärnutzung von Schlafzimmer und Wohnzimmer; Umzugshäufigkeit. Demographie: Geschlecht; Alter der Eltern; Ehedauer der Eltern; Wohnstatus; Alter; Schulbildung und Berufsausbildung der Eltern; Haushaltseinkommen. Interviewerrating: Ortsgröße; Wohnungsgröße; Anzahl der Wohnräume; Wohnungsausstattung; Stadtnähe und Alter der Wohnung; Bundesland; Parteifräferenz; Stellung in der Geschwisterreihe. Darüberhinaus wurde vom Interviewer nach einer Besichtigung des Kinderzimmers eine detaillierte Beschreibung des Raumes bezüglich Fensterfläche, Wandbeschaffenheit, Fußboden und Möbelstücke gegeben.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The presented dataset is part of the narrative corpus collected at Leibniz-Centre General Linguistics (Leibniz-ZAS). It contains transcriptions of oral narratives elicited with the Multilingual Assessment Instrument for Narratives (MAIN; read more here), developed as part of the LITMUS battery of tests in the framework of COST Action IS0804 Language Impairment in a Multilingual Society: Linguistic Patterns and the Road to Assessment. Narratives were elicited in the Russian, Turkish and German languages in the telling elicitation mode using two MAIN picture stories, Baby Birds and Baby Goats. The data were collected during two large-scale longitudinal studies conducted at ZAS in the framework of the Berlin Interdisciplinary Network for Multilingualism (BIVEM) and Interdisciplinary Research Alliance (IFV) projects (more information about the studies). The participants of the studies were Russian-German and Turkish-German bilingual children from different areas of Berlin. Their language development was closely documented every year from early kindergarten up to the end of the third grade of primary school (age 2;9 to 10;4 years). It is the longest and largest study of language development in bilingual children in Germany allowing for cross-sectional and longitudinal analyses from a cross-linguistic perspective.
The narratives were audio recorded and transcribed in the standardized CHAT format (MacWhinney, 2000) using the CLAN program according to the CHILDES transcription rules for later analysis. The transcriptions can be used to analyze the narrative abilities of bilingual children on macro- and microstructural levels (more information can be found here).
In total, the dataset contains 210 transcriptions of narratives from 29 participants (10 Russian-German bilingual children and 19 Turkish-German bilingual children), who were tested 5 times after the initial testing (pretest). The 5 testing points are therefore referred to as posttests: post1, post2, post3, post4, post5, post6 (this dataset does not contain data from post5, as oral narratives were not elicited at the end of the second grade). The corresponding age ranges at all testing points are given below for each part of the dataset. The dataset is divided into two parts, Russian-German and Turkish-German narrative corpus respectively.
The narrative corpus of Russian-German bilingual children includes two folders with narratives elicited in Russian and German, at 5 testing points.
Total number of transcriptions=100
Number of children=10
Total age range=2;9-10;4
Age range of children for narratives in Russian at each testing point:
post 1: 2;9-4;3 (kindergarten)
post 2: 3;9-5;2 (kindergarten)
post 3: 4;9-6;1 (kindergarten)
post 4: 6;9-7;6 (end of first grade)
post 6: 8;7-9;10 (end of third grade)
Age range of children for narratives in German at each testing point:
post 1: 2;10-4;3 (kindergarten)
post 2: 3;9-5;3 (kindergarten)
post 3: 4;9-6;2 (kindergarten)
post 4: 6;9-7;6 (end of first grade)
post 6: 8;8-10;4 (end of third grade)
The narrative corpus of Turkish-German bilingual children includes two folders.
One folder contains narratives elicited in German at the earlier 3 testing points, which allows the analysis of early narrative development in one language.
Total number of transcriptions=30
Number of children=10
Total age range=3;5-6;4
Age range of children for narratives in German at each testing point:
post 1: 3;5-4;3 (kindergarten)
post 2: 4;4-5;4 (kindergarten)
post 3: 5;3-6;4 (kindergarten)
Another folder contains narratives elicited in both languages, Turkish and German, at 4 testing points starting from post2 and allowing for the analysis of narrative development up to the third grade in both languages.
Total number of transcriptions=80
Number of children=10
Total age range=3;10-9;9
Age range of children for narratives in Turkish at each testing point:
post 2: 3;10-5;1 (kindergarten)
post 3: 4;9-6;1 (kindergarten)
post 4: 6;5-7;8 (end of first grade)
post 6: 8;6-9;9 (end of third grade)
Age range of children for narratives in German at each testing point:
post 2: 4;1-5;4 (kindergarten)
post 3: 5;1-6;4 (kindergarten)
post 4: 6;6-7;8 (end of first grade)
post 6: 8;5-9;8 (end of third grade)
The files are named according to the following pattern: child’s code (letters refer to child’s first languages: r-Russian, t-Turkish), test (MAIN), story (bb=Baby Birds, bg=Baby Goats), language of elicitation (de/ru/tr), testing point (1=post1, 2=post2 etc.), and child’s age (year/month). Here is an example: r009_MAIN_bb_de_4_610.
Abstract As culturally and geographically close countries, Switzerland and Germany share many similarities, which have led to increased migration between the two countries, especially aft er the implementation of the free movement of persons. However, a closer examination of Swiss and German parents’ perceptions and expec- tations of the school system as well as their aspirations for their children, reveal distinct narratives along national lines. Th is culminates in a discourse around university entrance qualifi cations and the transition to further education as the gateway to a successful life and career. To keep all options open, parents monitor the prerequisites of both educational sys- tems and invest considerable resources to promote the necessary abilities for their chil- dren to succeed in either country. Th e home and target country and their school systems thus both serve as a frame of reference for parents’ educational aspirations for their chil- dren as well as for potential futures. Th is study delves into the intricate interplay of mi- gration, education, and transnational lifestyles, shedding light on how migrants navigate their children’s future within diff ering educational systems.
Video recordings in German of eight bilingual children with L1 Turkish and L2 German with AOA of 3-4 years. Several recordings of spontaneous speech (play) during 7-28 months at ages approx. 3-6,5 years, and of elicited language with focus on article usage. Comparable data for the TÜ_DE-L1-Korpus. The "Turkish-German Successive-Bilinguals Corpus" (TÜ_DE_cL2 Hamburg) is a corpus of spoken child language that has been collected in the project Specific Language Impairment and Early Successive Language Acquisition (Project E4) at the Research Center on Multilingualism, University of Hamburg. The corpus consists of 94 longitudinal spontaneous speech samples (20-50 minutes) and of data from 18 elicitation tasks in German from eight typically-developing successive-bilingual children with Turkish as their first language (L1). The corpus was recorded between 2003 and 2008. The children were born in Germany and lived in families with Turkish as the home language. The L1 of both parents was Turkish and they were not very proficient in German which was their second language (L2). None of these children had elder siblings attending school who could have brought German into the family life. Furthermore, the families lived in parts of Hamburg with a mainly Turkish-speaking population. The children started to acquire German as early L2, when they started to attend a German Kindergarten (KiTa) at the age of three to four. They stayed at least four hours a day in the KiTa. Thus, the age of onset (AO) of German is between a few months before the age of three (AO3) and a few months after the age of four (AO4). The children have no hearing loss or language-impairment (in German and Turkish). None of the children had a cognitive impairment (non-verbal IQ-test). The recordings of Gül and Faruk start after two and three months of exposure to German (ME), the recordings of the other six children after ME 8 and 9. The spontaneous speech data were recorded in a playing session with the child and a monolingual German interviewer. There are between six and twenty-three spontaneous speech samples per child over a period between seven and 28 months. The elicitation task refers to the use of articles in nominative and accusative constructions. The sessions were videotaped and then transcribed on the basis of conventions of the project. The transcriptions were checked by a second person. The transcriptions contain (orthographic) verbal utterances of the child and the interviewer, comments on deviant pronunciation or specific characteristics of the childs speech and partly the childs non-verbal behaviour and comments on the situation. CLARIN Metadata summary for TÜ_DE-cL2-Korpus (CMDI-based) Title: TÜ_DE-cL2-Korpus Description: Video recordings in German of eight bilingual children with L1 Turkish and L2 German with AOA of 3-4 years. Several recordings of spontaneous speech (play) during 7-28 months at ages approx. 3-6,5 years, and of elicited language with focus on article usage. Comparable data for the TÜ_DE-L1-Korpus. Data owner: Monika Rothweiler, rothweiler@uni-bremen.de Contributors: Monika Rothweiler, rothweiler@uni-bremen.de (compiler) Project: E4 "Specific language impairment and early second language acquisition: Differentiating deviations in morphosyntactic acquisition", German Research Foundation (DFG) Keywords: child language acquisition, child bilingualism, longitudinal data, child L2 acquisition, successive bilingualism, L2 data, EXMARaLDA Language: German (deu) Size: 19 speakers (19 female, 0 male), 112 communications, 112 transcriptions, 348292 words Genre: discourse Modality: spoken
The survey "Studying in Corona Times" examines the various effects of the corona pandemic on students at German universities and takes a close look at the special features, challenges and opportunities of the largely digital summer semester 2020. The aim of the study is to gain a comprehensive impression of the situation of students in Germany during this unusual semester. What challenges are the students facing? What is their employment and financial situation like? And to what extent is it possible to study successfully under the given circumstances? These and many other questions are the guiding principles of this study. In order to gain a realistic picture of the situation of students in Germany, around 28,600 students from 23 nationally selected state universities of different sizes, subject structures and regional locations are surveyed. The results of the survey are relevant to numerous measures in the fields of higher education, education and social policy and should enable research to examine various issues arising in the course of the corona pandemic. The study "Studying in Corona Times" is being carried out jointly with the University of Konstanz's Higher Education Research Working Group and the German National Association for Student Affairs. It is part of the research project “die Studierendenbefragung in Deutschland“. In der Befragung "Studieren in Zeiten der Corona-Pandemie" werden die verschiedenen Auswirkungen der Corona-Pandemie auf Studierende an deutschen Hochschulen untersucht und ein genauer Blick auf die Besonderheiten, Herausforderungen und Chancen des weitgehend digitalen Sommersemester 2020 geworfen. Ziel der Studie ist es, einen umfassenden Eindruck von der Situation der Studierenden in Deutschland während dieses ungewöhnlichen Semesters zu erhalten. Vor welchen Herausforderungen stehen die Studierenden? Wie gestaltet sich die Erwerbs- und finanzielle Situation? Und inwieweit ist es unter den gegebenen Umständen möglich, erfolgreich zu studieren? Diese und viele weitere Fragen sind leitend für diese Studie. Um ein realistisches Bild der Lage der Studierenden in Deutschland zu gewinnen, wurden ungefähr 28.600 Studierende von 23 bundesweit ausgewählten, staatlichen Hochschulen unterschiedlicher Größe, Fächerstruktur und regionaler Lage befragt. Die Ergebnisse der Erhebung sind für zahlreiche Maßnahmen in den Bereichen Hochschule, Bildung und Sozialpolitik von Relevanz und sollen es der Forschung ermöglichen, verschiedene Fragen, die sich im Zuge der Corona-Pandemie ergeben, zu untersuchen. Die Studie "Studieren in Zeiten der Corona-Pandemie" wird gemeinsam mit der AG Hochschulforschung der Universität Konstanz und dem Deutschen Studentenwerk durchgeführt und findet im Rahmen des Verbundprojekts „die Studierendenbefragung in Deutschland“ statt. The population includes German and foreign students who were enrolled at one of 23 German universities and universities of applied science in the summer semester of 2020. Die Grundgesamtheit umfasst deutsche/bildungsinländische sowie bildungsausländische Studierende, die im Sommersemester 2020 an einer von 23 deutschen Hochschulen immatrikuliert waren.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Germany population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Germany. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 376 (64.72% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New Germany Population by Age. You can refer the same here