Comprehensive dataset of local, state, and federal election results in Germany, facilitating research on electoral behavior, representation, and political responsiveness. Umfassende Datenbank von: Bundestagswahlergebnissen, Landeswahlergebnissen und Kommunalwahlergebnissen in Deutschland, die die Forschung zu Wahlverhalten, politischer Repräsentation und politischer Reaktionsfähigkeit ermöglicht.

This short article introduces the German Cliometrics Database as the fundament of Jopp and Spoerer (2024) who trace cliometric research on German history. This newly constructed database of every publication which (1) contributes to the historiography of Germany and (2) employs, as a baseline, inferential statistics enables researchers to specifically find cliometric studies related to their own work much quicker. Even though no full texts are provided along with the data file, the collected abstracts or, respectively, summaries for every publication in the database allow for some baseline text mining approaches. Along with the remaining information provided, they may also form the basis for broader bibliometric or historiographical studies.

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The German Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 562 adult German speakers (272 males, 290 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2) The second set comprises the recordings of 50 child German speakers (25 boys, 25 girls), recorded over 4 microphone channels in 1 recording environment (children room). This database is partitioned into 29 DVDs (first set) and 3 DVDs (second set).The speech databases made within the Speecon project were validated by SPEX, the Netherlands, to assess their compliance with the Speecon format and content specifications. Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items (over 290 items for adults and over 210 items for children):Calibration data: 6 noise recordings The “silence word” recordingFree spontaneous items (adults only):5 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics)17 Elicited spontaneous items (adults only):3 dates, 2 times, 3 proper names, 2 city names, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language Read speech:30 phonetically rich sentences uttered by adults and 60 uttered by children5 phonetically rich words (adults only)4 isolated digits1 isolated digit sequence4 connected digit sequences1 telephone number3 natural numbers1 money amount2 time phrases (T1 : analogue, T2 : digital)3 dates (D1 : analogue, D2 : relative and general date, D3 : digital)3 letter sequences1 proper name2 city or street names2 questions2 special keyboard characters 1 Web address1 email address208 application specific words and phrases per session (adults)74 toy commands, 14 phone commands and 34 general commands (children)The following age distribution has been obtained: Adults: 259 speakers are between 15 and 30, 193 speakers are between 31 and 45, 110 speakers are over 46.Children: 23 speakers are between 8 and 10, and 27 speakers are between 11 and 14.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

The Aurora project was originally set up to establish a world wide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.The two work items within ETSI are:- ETSI DES/STQ WI007: Distributed Speech Recognition - Front-End Feature Extraction Algorithm & Compression Algorithm- ETSI DES/STQ WI008: Distributed Speech Recognition - Advanced Feature Extraction Algorithm. This database is a subset of the SpeechDat-Car database in German language which has been collected as part of the European Union funded SpeechDat-Car project. It contains isolated and connected German digits spoken in the following noise and driving conditions inside a car:1. High speed good road2. Low speed rough road3. Stopped with motor running4. Town traffic

Between 1944–1950, almost eight million expellees arrived in West Germany. We introduce a rich county-level database on the expellees’ socio-economic situation in post-war Germany. The database contains regionally disaggregated information on the number, origin, age, gender, religious denomination and labour force status of expellees. It also records corresponding information on the West German population as a whole, on the pre-war economic and religious structure of host and origin regions, and on war destructions in West Germany. The main data sources are the West German censuses of 1939, 1946, 1950 and 1961. Altogether, the database consists of 18 data tables (in xsls format). We have digitized the data as printed in the statistical sources, adding only an English translation of the table head (along with the original table head in German). Each data table has two tabs: The first tab (named “source”) lists the reference(s) of the printed source, the second (“data”) contains the actual data. Please consult the readme file for an overview of each data table’s content and the paper for additional information.

Germany Population: German data was reported at 71,347,057.000 Person in 2023. This records a decrease from the previous number of 71,623,366.000 Person for 2022. Germany Population: German data is updated yearly, averaging 73,207,573.500 Person from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 75,212,869.000 Person in 2004 and a record low of 56,478,581.000 Person in 1986. Germany Population: German data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G001: Population. Population prior to 1990 covers West Germany only.

This database is a part of a BERT-based entity recognition and three-stage entity linking (EL) system. Its components consist of three models as well as three related databases, one of which is published here.

Online security is as current a topic in Germany as in almost every country in the world. With more and more personal information being stored and accessible online, privacy and data protection laws are becoming increasingly important, with the pressing necessity of establishing more than just general guidelines. As is clear from this statistic, the majority of Germans are more than skeptical about the safety of their personal data on the internet.

Private users

Personal data being secure online is an issue affecting both private citizens and companies alike, across services and industries. The main concerns over using e-government websites, for example, were becoming a so-called transparent citizen with private data stored in one central database, as well as lack of security during data transmissions. Optimistically so, the number of phishing cases targeting online banking users has been dropping in recent years.

Companies

75 percent of companies in Germany were the victims of cyber attacks in 2019. Of these, the most common types were theft of IT and communication devices, as well as sensitive digital documents.

Germany Employment: Mining and Mfg: Manufacturing data was reported at 5,464.217 Person th in Feb 2025. This records an increase from the previous number of 5,463.043 Person th for Jan 2025. Germany Employment: Mining and Mfg: Manufacturing data is updated monthly, averaging 5,332.863 Person th from Jan 2005 (Median) to Feb 2025, with 242 observations. The data reached an all-time high of 5,701.929 Person th in Sep 2019 and a record low of 4,907.280 Person th in Apr 2010. Germany Employment: Mining and Mfg: Manufacturing data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G013: Employment.

The Germany Data Center Market report segments the industry into Hotspot (Frankfurt, Rest of Germany), Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), and Absorption (Non-Utilized, Utilized). Get five years of historical data alongside five-year market forecasts.

Abstract: The German Local Population Database (GPOP) includes historical population figures for all administrative units of Germany. The GPOP database includes total population in 1871, 1910, 1939, 1946, 1961, 1987, 1996, 2011, and 2019 for the universe of all German municipalities, counties, and states at consistent contemporary boundaries (31 December 2019). The database was hand-collected and assembled from more than 50 sources. The data reflect 150 years of regional development and disparities in Germany.

The data publication contains all heat-flow data of onshore Germany. The data release contains data generated between 1959 and 2020 and constitutes a substantial update and extension compared to the last compilation provided by the Geothermal Atlas from Hurter & Haenel (2002). The data set comprises new heat-flow determinations published after 2002 as well as data from before 2002, which were not included in the Hurter & Haenel atlas. The resulting updated database contains 836 determinations of heat flow at 595 locations from 42 publications. 85% of the reported heat-flow values are determined in boreholes, 5% in mines, and further 9 % are from onshore lake measurements using marine probe sensing techniques. The reporting and storing of the database is following the structure of the IHFC Global Heat Flow Database (Fuchs et al., 2021). A comprehensive description, including field classifications and ex-amples of associated data, is documented there. The IHFC database concept introduces parent elements (providing site-specific information), child elements (i.e. heat-flow values determined at the site and associated meta-data) and further fields providing additional information for the eval-uation of heat-flow quality. Thus, it provides a detailed collection of data and meta-data infor-mation, exceeding the sparse information on coordinates, name and heat-flow value provided in Hurter & Haenel (2002). In our release of the German heat-flow values, we have added fields about the applied quality scoring, the reasoning for inclusion or exclusion of data due to quality, and a descriptive field of the regional tectonic or geological units. For details of this procedure see Fuchs et al. (2022). The associated data description provides the full list of data sources (publications), while the DOI landing page only displays digital versions of articles if available.

This data collection contains electoral data at the wahlkreis and staat levels for the Reichstag elections of 1871, 1874, 1877, 1878, 1881, 1884, 1890, 1893, 1898, 1903, 1907, and 1912. The variables for each election provide information on the votes cast for parties, including the Conservative Party, the German Empire Party, the National-Liberals, the Liberal Empire Party, the People's Party, the Social Democrats, the Progress Party, the Catholic Center, the Particularists, the Poles Party, the Protest Party, the Antisemites, the Free-thinking People's Party, the German Reform Party, the Farmers' Union, the Peasants' Union, and splinter parties. Data are also provided on the total population in 1871 and every fifth year between 1875 and 1910, and the proportions of Protestants and of Catholics in the total population for 1871, 1875, 1880, 1885, 1890, 1905, and 1910. Additional variables provide information on the number of eligible voters, valid and invalid votes cast, and voter turnout.

A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

Graph and download economic data for Real Gross Domestic Product for Germany (CLVMNACSCAB1GQDE) from Q1 1991 to Q1 2025 about Germany, real, and GDP.

The aim of the project was to identify and compile the best available historical time series for Germany, and to complement or update them at reasonable expense. Time series were only to be included, if data for the entire period from 1834 to 2012 was at least theoretically available. An integral aspect of the concept of our project is the combination of data with critical commentaries of the time series by established expert scientists. The following themes are covered (authors in parentheses): 1. Environment, Climate, and Nature (Paul Erker) 2. Population, Households, Families (Georg Fertig/Franz Rothenbacher) 3. Migration (Jochen Oltmer) 4. Education and Science (Volker Müller-Benedict) 5. Health Service (Reinhard Spree) 6. Social Policy (Marcel Boldorf) 7. Public Finance and Taxation (Mark Spoerer) 8. Political Participation (Marc Debus) 9. Crime and Justice (Dietrich Oberwittler) 10. Work, Income, and Standard of Living (Toni Pierenkemper) 11. Culture, Tourism, and Sports (Heike Wolter/Bernd Wedemeyer-Kolwe) 12. Religion (Thomas Großbölting/Markus Goldbeck) 13. National Accounts (Rainer Metz) 14. Prices (Rainer Metz) 15. Money and Credit (Richard Tilly) 16. Transport and Communication (Christopher Kopper) 17. Agriculture (Michael Kopsidis) 18. Business, Industry, and Craft (Alfred Reckendrees) 19. Building and Housing (Günther Schulz) 20. Trade (Markus Lampe/ Nikolaus Wolf) 21. Balance of Payments (Nikolaus Wolf) 22. International Comparisons (Herman de Jong/Joerg Baten) Basically, the structure of a dataset is guided by the tables in the print publication by the Federal Agency. The print publication allows for four to eight tables for each of the 22 chapters, which means the data record is correspondingly made up of 120 tables in total. The inner structure of the dataset is a consequence of a German idiosyncrasy: the numerous territorial changes. To account for this idiosyncrasy, we decided on a four-fold data structure. Four territorial units with their respective data, are therefore differentiated in each table in separate columns: A German Confederation/Custom Union/German Reich (1834-1945).B German Federal Republic (1949-1989).C German Democratic Republic (1949-1989).D Germany since the reunification (since 1990). Years in parentheses should be considered a guideline only. It is possible that series for the territory of the old Federal Republic or the new federal states are continued after 1990, or that all-German data from before 1990 were available or were reconstructed.All time series are identified by a distinct ID consisting of an “x” and a four-digit number (for numbers under 1000 with leading zeros). The time series that exclusively contain GDR data were identified with a “c” prefix instead of the “x”.For the four territorial units, the time series are arranged in four blocks side by side within the XLSX files. That means: first all time series for the territory and the period of the Custom Union and German Reich, the next columns contain side by side all time series for the territory of the German Federal Republic / the old federal states, then – if available – those for the territory of the German Democratic Republic / the new federal states, and finally for the reunified Germany. There is at most one row for each year. Dates can be missing if no data for the respective year are available in either of the table’s time series, but no date will appear twice. The four territorial units and the resultant time periods cause a “stepwise” appearance of the data tables.

If you find anything missing, unclear, incomprehensible, improvable, etc., please contact me (kontakt@deutschland-in-daten.de). Further reading:Rahlf, Thomas, The German Time Series Dataset 1834-2012, in: Journal of Economics and Statistics 236/1 (2016), pp. 129-143. [DOI: 10.1515/jbnst-2015-1005] Open Access: Rahlf, Thomas, Voraussetzungen für eine Historische Statistik von Deutschland (19./20. Jh.), in: Vierteljahrschrift für Sozial- und Wirtschaftsgeschichte 101/3 (2014), S. 322-352. [PDF] Rahlf, Thomas (Hrsg.), Dokumentation zum Zeitreihendatensatz für Deutschland, 1834-2012, Version 01 (= Historical Social Research Transition 26v01), Köln 2015. http://dx.doi.org/10.12759/hsr.trans.26.v01.2015Rahlf, Thomas (Hrsg.), Deutschland in Daten. Zeitreihen zur Historischen Statistik, Bonn: Bundeszentrale für Politische Bildung, 2015. [EconStor]

This dataset contains data regarding COVID-19 cases in Germany by Landkreise (district). It was originally published by the Robert Koch-Institut (RKI).For each Landkreis, data is available about: number of cases (cumulative), number of cases per 100 000 persons (cumulative or only the last seven days), percentage of cases (cumulative number of cases among the Landkreis population), number of deaths (cumulative) and death rate (percentage of deaths among the cases).The dataset also contains various geo-administrative information, such as populations, geographical shapes and administrative codes.Enrichment:Dates given in German format have been converted to ISO datetime.

The dataset consists of occurrence data of the aquatic organism groups fish, macroinvertebrates and macrophytes that were sampled in the German federal state Saxony between 2007 and 2011. The sampling was conducted according to the protocols of the national monitoring programme for implementation of the Water Framework Directive.

For additional metadata see: http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=BFE_93

Germany Motor Vehicle New Registrations: Commercial: ow Bus data was reported at 5,382.000 Unit in 2024. This records a decrease from the previous number of 5,493.000 Unit for 2023. Germany Motor Vehicle New Registrations: Commercial: ow Bus data is updated yearly, averaging 5,669.000 Unit from Dec 2002 (Median) to 2024, with 23 observations. The data reached an all-time high of 6,697.000 Unit in 2017 and a record low of 4,883.000 Unit in 2022. Germany Motor Vehicle New Registrations: Commercial: ow Bus data remains active status in CEIC and is reported by Federal Motor Transport Authority. The data is categorized under Global Database’s Germany – Table DE.TA003: Motor Vehicle New Registrations: The German Association of the Automotive Industry (Annual).