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Found 36 result(s)
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The Research Data Center Elections is part of GESIS and provides access to a number of national survey datasets, e.g. the German Longitudinal Election Study (GLES). The RDC provides intensive data preparation and access to a wide scope of data and topics. Furthermore, the RDC offers consultation and creation of value-added services like data handbooks, cumulations, and training.
The Census Bureau releases TIGER/Line shapefiles and metadata each year to the public. TIGER/Line shapefiles are spatial extracts from the Census Bureau’s MAF/TIGER database. They contain features such as roads, railroads, hydrographic features and legal and statistical boundaries.
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The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. 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.
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HISTAT (Historical Statistics)provides data from studies of population, economic and social history as well as the historical Statistics under a single user interface to be made available online. HISTAT offers a variety of time series, Historical Statistics primarily from Germany, partly down to the 16 . century; the database is structured theme-and study-oriented. Studies are listed by subject area and can be individually selected. using an alphabetical list of authors of individual studies can also be selected. Moreover, a study on cross Keyword is offered. HISTAT provides information and research opportunities to both study level as well as at time series level. It offered a thesaurus-based meta-search for words, authors and studies in the study descriptions, the data (time series definitions) and the sources.
PWT version 10.0 is a database with information on relative levels of income, output, input and productivity, covering 183 countries between 1950 and 2019.
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Access analytical research reports and statistical information on citizenship and immigration trends. Research for Citizenship and Immigration Canada’s strategic research program furthers our understanding of the impact of immigration on Canadian society. Citizenship and Immigration Canada’s statistical publications provide information on permanent and temporary residents as well as immigration and citizenship programs. Older Research and Statistics reports from Library and Archives Canada. Key findings of external and internal projects related to public opinion.
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The Research Data Center Wissenschaftsstatistik provides the scientific community with data on economics and innovation in Germany. Data on research and development (R&D) in Germany (collected on behalf of the Federal Ministry of Education and Research) and on the development and startup culture of universities are made available via scientific use files and campus use files. Most studies and data are in German.
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Statistics Greenland collects, processes, and publicizes statistical material concerning social issues in Greenland. Information is published in English, Greenlandic, and Danish, although not all information has been translated.
Here you will find data on the estimated stock of social capital in each US county for the years 1990, 1997, 2005, 2009, and 2014 PLEASE NOTE: The data are presented "as is" without any implied guarantees for accuracy, and that there are slight differences between 1990/1997 and 2005 as a result of the switch from the SIC to the NAICS codes.
The U.S. Bureau of Labor Statistics collects, analyzes, and publishes reliable information on many aspects of the United States economy and society. They measure employment, compensation, worker safety, productivity, and price movements. This information is used by jobseekers, workers, business leaders, and others to assist them in making sound decisions at work and at home. Statistical data covers a wide range of topics about the labor market, economy and society in the U.S.; subject areas include: Inflation & Prices, Employment, Unemployment, Pay & Benefits, Spending & Time Use, Productivity, Workplace Injuries, International, and Regional Resources. Data is available in multiple formats including charts and tables as well as Bureau of Labor Statistics publications.
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The Research Data Center (RDC) “International Survey Programs“ provides researchers with data, services, and consultation on a number of important international study series which are under intensive curation by GESIS. They all cover numerous countries and, quite often, substantial time spans. The RDC provides optimal data preparation and access to a wide scope of data and topics for comparative analysis.
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DBIE is a data warehouse of the Department of Statistics and Information Management (DSIM), under the Reserve Bank of India. It disseminates data on various aspects of the Indian Economy through several of its publications, by means of it’s three parts – namely has mainly three parts Home, Statistics and Time-series Publications. Again, Home is divided into two parts viz. Important Economic Indicators & Economy at a Glance through dashboards. The entire statistics have been presented in seven subject areas - Real Sector, Corporate Sector, Financial Sector, Financial Market, External Sector, Public Finance, Socio-Economic Indicators. Sectors have different sub-sectors and reports under the sub-sectors have been organized on periodicity wise. Downloading of data can be possible into Excel, CSV, PDF formats. User can use the data for their research work with courtesy to the Database on Indian Economy, Reserve Bank of India.
HCUPnet is a free, on-line query system based on data from the healthcare cost and utilization project (HCUP). It provides access to health statistics and information on hospital inpatient and emergency departments. HCUP is used to identify, track, analyze, and compare hospital statistics at the national, regional, and state levels.
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The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. Message since 2022-01: The Canadian Disaster Database geospatial view is temporarily out of service. We apologize for the inconvenience. The standard view of the database is still available.
TIW’s Warehouse is a centralized, electronic database holding the most current details on the official, or “gold,” record for virtually all cleared and bilateral credit default swap (CDS) contracts outstanding in the global marketplace. The Warehouse contains more than 50,000 accounts representing derivatives counterparties across 95 countries.
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The JAE Data Archive, which is hosted by a server belonging to the Economics Department of Queen's University, contains data for all papers accepted after January, 1994, unless the data are confidential. There are also data for a few papers accepted earlier. Volume 10, No. 1 (1995) is the first issue in which all papers were accepted subject to the proviso that data be provided. For some papers, especially more recent ones, the Data Archive also contains programs and supplementary material, such as technical appendices and additional graphs.
A collection of data at Agency for Healthcare Research and Quality (AHRQ) supporting research that helps people make more informed decisions and improves the quality of health care services. The portal contains U.S.Health Information Knowledgebase (USHIK) and Systematic Review Data Repository (SRDR) and other sources concerning cost, quality, accesibility and evaluation of healthcare and medical insurance.
BEA produces economic accounts statistics that enable government and business decision-makers, researchers, and the American public to follow and understand the performance of the Nation's economy. To do this, BEA collects source data, conducts research and analysis, develops and implements estimation methodologies, and disseminates statistics to the public.
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WHIP is a database of individual work histories, based on Inps administrative archives. The reference population is made up by all the people – Italian and foreign – who have worked in Italy even only for only a part of their working career. A large representative sample has been extracted from this population: in the standard file the sampling coefficient is about 1: 180, for a dynamic population of about 370,000 people (figures will be doubled in the full edition). For each of these people the main episodes of their working careers are observed. The complete list of observations includes: private employee working contracts, atypical contracts, self-employment activities as artisan, trader and some activities as freelancer, retirement spells, as well as non-working spells in which the individual received social benefits, like unemployment subsidies or mobility benefits. The workers for whom activity is not observed in WHIP are those who worked in the public sector or as freelancers (lawyers or notaries) – who have an autonomous security fund. The WHIP section concerning employee contracts is a Linked Employer Employee Database: in addition to the data about the contract, thanks to a linkage with the Inps Firm Observatory, data concerning the firm in which the worker is employed is also available.
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Open Government Data Portal of Sikkim–sikkim.data.gov.in - is a platform for supporting Open Data initiative of Government of Sikkim. The portal is intended to be used by Departments/Organizations of Government of Sikkim to publish datasets, documents, services, tools and applications collected by them for public use. It intends to increase transparency in the functioning of the state Government and also open avenues for many more innovative uses of Government Data to give different perspective. Open Government Data Portal of Sikkim is designed and developed by the Open Government Data Division of National Informatics Centre (NIC), Department of Electronics and Information Technology (DeitY), Government of India. The portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform India of NIC. The data available in the portal are owned by various Departments/Organization of Government of Sikkim. Open Government Data Portal of Sikkim has following modules: Data Management System (DMS) – Module for contributing data catalogs by various state government agencies for making those available on the front end website after a due approval process through a defined workflow. Content Management System (CMS) – Module for managing and updating various functionalities and content types of Open Government Data Portal of Sikkim. Visitor Relationship Management (VRM) – Module for collating and disseminating viewer feedback on various data catalogs. Communities – Module for community users to interact and share their zeal and views with others, who share common interests as that of theirs.
A consolidated feed from 35 million instruments provides sophisticated normalized data, streamlining analysis and decisions from front office to operations. And with flexible delivery options including cloud and API, timely accurate data enables the enterprise to capture opportunities, evaluate risk and ensure compliance in fast-moving markets.
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The Research Data Centre (FDZ-RV) was set-up in 2004 as an integral part of the German Federal Pension Insurance (Deutsche Rentenversicherung). Since then, the Research Data Centre produced several cross-sectional and longitudinal datasets, also called Scientific Use Files (SUF), available to researchers interested in issues of retirement, disability and rehabilitation. The datasets are released on an annual basis. The Scientific Use Files are subsamples drawn from the pool of individuals who are insured in the Federal Pension Insurance. The information provided in the original datasets is necessary to administer the beneficiaries of the pension insurance.