A dataset that explores Green Card sponsorship trends, salary data, and employer insights for applied mathematics statistics also recvd masters in applied mathematics statistics in the U.S.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for applied statistics and decision making in the U.S.

In 2021, the share of internet users looking for and applying for jobs online in Turkey increased by 1.1 percentage points since 2019. With 8.97 percent, the share of internet users looking for jobs online thereby reached its highest value in the observed period.The EU survey on the use of Information and Communication Technologies (ICT) in households and by individuals is an annual survey conducted since 2002 aiming at collecting and disseminating harmonised and comparable information on the use of ICT in households and by individuals. Data presented in this domain are collected on a yearly basis by the National Statistical Institutes and are based on Eurostat's annual model questionnaire. This questionnaire is updated each year to reflect the evolving situation of information and communication technologiesFind more statistics on other topics about Turkey with key insights such as share of daily internet users, share of internet users seeking health information online, share of internet users informing themselves about goods and services online, share of internet users reading news online, share of internet users engaging in online learning activities, and share of people that upload self-created content.

Staff in Australia's Schools (SiAS) 2010 is the second national survey of approximately 17,000 teachers and school leaders funded by the Australian Government, conducted by the Australian Council for Educational Research (ACER); the first being conducted in 2006-07. It collected data on a wide range of teacher characteristics and workforce issues including: demographic items, professional learning, qualification, future career intention, and career path. One of the major purposes of this national survey was to provide relevant data to inform teachers staffing issues and teacher workforce planning. (McKenzie, Rowley, et al., 2011). The data is self-reported and data quality generally regarded as good. The first aim of this project was to use logistic regression to estimate Australian teachers' Intent to permanently leave teaching profession prior to retirement. Another aim was to identify the factors (or independent variables) that could most accurately predict teachers' intention to leave.

In 2023, the availability of talent related to machine learning was *** times larger than the demand for the skill by applied artificial intelligence (AI) job postings worldwide. Skills related to deep learning were *** times larger than its demand. Artificial intelligence skills, on the other hand, were equivalent to only ** percent of the talent demand, with a ratio of ***.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for mathematics applied statistics in the U.S.

City of LA job applicants by the job they applied for and demographic information. We are currently undergoing a data inventory to improve usability on the site. We're aware that this dataset is out of date but wanted to err on the side of making incomplete data available. Thank you for your patience, please contact the dataset owner or mayor.opendata@lacity.org with questions or ideas.

The European questionnaire on Information and Communication Technologies Data reveals that there exists a disparity between the internet usage of people with a low, medium, and high formal education level. This disparity although present in most countries, differs widely in its severity.

In 2019, only eight percent of users with low formal education in Ireland responded that they used the internet to search or apply for jobs. Among people with medium formal education the share is 10 percent higher, amounting to 18 percent. According to the survey 23 percent of users in Ireland with a high degree of formal education searched and applied for jobs online.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for sociology and applied statistics in the U.S.

Russia Number of Registered Job Seekers: Annual: Applied: Unemployed data was reported at 2,993.100 Person th in 2017. This records a decrease from the previous number of 3,224.400 Person th for 2016. Russia Number of Registered Job Seekers: Annual: Applied: Unemployed data is updated yearly, averaging 3,821.300 Person th from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 6,576.800 Person th in 2009 and a record low of 2,062.500 Person th in 1993. Russia Number of Registered Job Seekers: Annual: Applied: Unemployed data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GB032: Number of Registered Job Seekers: by Region.

The European questionnaire on Information and Communication Technologies Data reveals that there exists a disparity between the internet usage of people with a low, medium, and high formal education level. This disparity although present in most countries, differs widely in its severity.

In 2019, 12 percent of users with low formal education in France responded that they used the internet to search or apply for jobs. Among people with medium formal education the share is six percent higher, amounting to 18 percent. According to the survey 21 percent of users in France with a high degree of formal education searched and applied for jobs online.

Russia Number of Registered Job Seekers: Annual: Applied: Unemployed: ow Never Worked Before data was reported at 593.300 Person th in 2017. This records an increase from the previous number of 592.300 Person th for 2016. Russia Number of Registered Job Seekers: Annual: Applied: Unemployed: ow Never Worked Before data is updated yearly, averaging 1,608.000 Person th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 2,706.600 Person th in 2004 and a record low of 275.700 Person th in 1993. Russia Number of Registered Job Seekers: Annual: Applied: Unemployed: ow Never Worked Before data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GB032: Number of Registered Job Seekers: by Region.

General description: Data from the second (summative) Evaluation of the JobQuest game - pilot round 2 Topic ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies, Usability testing PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods Name entitites Organizational information: Graz University of Technology, RANDSTAD Geographical information: France Time information: June-August 2018 Types: SPSS data file RAGCS target group: target groups - demand side - end users - adults - unemployed, temporary workers Evaluation dimensions Evaluation object: JobQuest game Methodology/design: Pre-post test design Evaluation variables: usability; user experience - usefulness, enjoyment; job search efficacy Instruments: questionnaire items adapted from Career Self Efficacy Scale - CSES (Solberg et al., 1994), Job Seeking Self-Efficacy Scale - JSS (Barlow, Wright, & Cullen, 2002), Game User Experience Satisfaction Scale - GUESS (Phan, Keebler, & Chaparro, 2016), Intrinsic Motivation Inventory - IMI (Ryan, 1982) Knowledge/skill elements RAGCS skills: cognitive skills - understanding, remembering, applying, creating; affective skills - interpersonal, intrapersonal ESCO skills: provide assistance with job search (http://data.europa.eu/esco/skill/7903f946-aeff-4024-b146-8e48018d4eb9), prepare for job interview (http://data.europa.eu/esco/skill/929e89f9-ac69-4bcb-9eea-37257aa5aff9) Relationships: D8.4 Second RAGE Evaluation Report Related dataset: 10.5281/zenodo.1209194.

The European questionnaire on Information and Communication Technologies Data reveals that there exists a disparity between the internet usage of people with a low, medium, and high formal education level. This disparity although present in most countries, differs widely in its severity.

In 2019, only four percent of users with low formal education in Greece responded that they used the internet to search or apply for jobs. Among people with medium formal education the share is 12 percent higher, amounting to 16 percent. According to the survey 17 percent of users in Greece with a high degree of formal education searched and applied for jobs online.

In 2024, around nine percent of people with a job in Germany had used artificial intelligence to create a cover letter for a job application. ** percent of people had not tried this and had no intention of doing it in the future.

Key Table Information.Table Title.Business Dynamics Statistics: Establishment Size: 1978-2023.Table ID.BDSTIMESERIES.BDSESIZE.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Business Dynamics Statistics.Source.U.S. Census Bureau, Economic Surveys.Release Date.2025-09-25.Release Schedule.The Business Dynamics Statistics (BDS) is updated once a year, typically in September—2 years after the reference year.The data in this file were released in September 2025.For more information about BDS releases, see BDS Updates..Dataset Universe.The dataset universe consists of all establishments and firms in the U.S. that are located in one of the 50 U.S. states or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS).The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series..Methodology.Data Items and Other Identifying Records.This file contains data classified by Employment size of establishmentsNumber of firmsNumber of establishmentsNumber of employees(DHS) denominatorNumber of establishments born during the last 12 monthsRate of establishments born during the last 12 monthsNumber of establishments exited during the last 12 monthsRate of establishments exited during the last 12 monthsNumber of jobs created from expanding and opening establishments during the last 12 monthsNumber of jobs created from opening establishments during the last 12 monthsNumber of jobs created from expanding establishments during the last 12 monthsRate of jobs created from opening establishments during the last 12 monthsRate of jobs created from expanding and opening establishments during the last 12 monthsNumber of jobs lost from contracting and closing establishments during the last 12 monthsNumber of jobs lost from closing establishments during the last 12 monthsNumber of jobs lost from contracting establishments during the last 12 monthsRate of jobs lost from closing establishments during the last 12 monthsRate of jobs lost from contracting and closing establishments during the last 12 monthsNumber of net jobs created from expanding/contracting and opening/closing establishments during the last 12 monthsRate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 monthsRate of reallocation during the last 12 monthsNumber of firms that exited during the last 12 monthsNumber of establishments associated with firm deaths during the last 12 monthsNumber of employees associated with firm deaths during the last 12 monthsDefinitions of data items can be found in the table by clicking on the column header and selecting “Column Notes” or by accessing the BDS Glossary..Unit(s) of Observation.The units for BDS are employer establishments and firms..Geography Coverage.The data are shown at the U.S. level, by Metro/non-Metro Area, and State. For more information, see About This Program..Industry Coverage.The data are shown at the 2-digit NAICS codes for the United States level only. For more information, see About This Program..Sampling.Business Dynamics Statistics tabulations are based on a combination of administrative and survey-collected data, and therefore no sampling is done. For more information about methodology and data limitations, see BDS Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7508369, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0331).In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see CBP Methodology.In addition to noise infusion, cells with fewer than three firms are not presented. For more symbolic representation, see Symbols in the Table Information section below. For more information about BDS methodology, see BDS Methodology..Technical Documentation/Methodology.For detailed information on the coverage and methodology of the Business Dynamics Statistics data series, see Technical Documentation..Weights.No weighting applied to Business Dynamics Statistics..Table Information.FTP Download.https://www2.census.gov/programs-surveys/bds/data/.API Information....

Abstract

Many small firms lack the finance and marketing skills needed for growth. A standard approach is to train the entrepreneur in these skills. However, rather than requiring entrepreneurs to learn everything, an alternative is to move beyond the boundary of the entrepreneur and link firms to these skills in a marketplace through insourcing workers, or outsourcing tasks to professionals. We conducted a randomized experiment in Nigeria to test the relative effectiveness of these different approaches to improving business practices. Insourcing and outsourcing both dominate business training; and do at least as well as business consulting at one-half of the cost. Replication data for this project are provided.

Geographic coverage

Firms in Abuja and Lagos

Analysis unit

Firm

Universe

Firms that applied and were selected for the government Growth and Employment (GEM) program

Kind of data

Sample survey data [ssd]

Sampling procedure

Firms applied to the Growth and Employment (GEM) Program. To qualify for the programs in our experiment, firms needed to pass a second screening step demonstrating they: (i) were not already insourcing or outsourcing both their marketing function and finance function; (ii) had between 2 and 15 workers; and (iii) received a score of 5.0 to 8.0 (out of 10) in terms of their baseline business practices5. This resulted in an experimental sample of 753 firms.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The following questionnaires were used for data collection and they are provided as supporting documentation: - BaselineQuestionnaire.pdf - the baseline training manual and questionnaire - Codebook_Baseline_Survey.xls - a codebook for the baseline questionnaire - GEM First Follow-Up Survey.pdf - the first follow-up survey - GEM Follow-p Survey_Round2.pdf - the second follow-up survey - GEM consultant and trainer questionnaire.pdf - questionnaire on background of Trainers and Consultants - SocialMediaScoring.xlsx - scoring questions for the 50 measures of social media quality - GEMServiceProviderSurvey.xls - questionnaire given to business service providers * InformationExperimentBaselineSurvey.pdf - baseline for the information experiment * InformationExperimentFollowupSurvey.pdf - follow-up survey for the information experiment

Response rate

The first follow-up survey had a response rate of 88.6%, and the second follow-up survey had a response rate of 86.1%. 93% of firms completed at least one of the follow-up surveys

The European questionnaire on Information and Communication Technologies Data reveals that there exists a disparity between the internet usage of people with a low, medium, and high formal education level. This disparity although present in most countries, differs widely in its severity.

In 2019, only nine percent of users with low formal education in Czechia responded that they used the internet to search or apply for jobs. Among people with medium formal education the share is three percent lower, amounting to six percent. According to the survey five percent of users in Czechia with a high degree of formal education searched and applied for jobs online.

A 2021 survey among internet users in the United Kingdom found that nearly 50 percent of the respondents aged between 25 and 34 years old had ever gone online to look at job opportunities or applied for a job. Furthermore, browsing job opportunities and sending online applications were popular among individuals between 16 and 24 years too.

The European questionnaire on Information and Communication Technologies Data reveals that there exists a disparity between the internet usage of people with a low, medium, and high formal education level. This disparity although present in most countries, differs widely in its severity.

In 2019, 12 percent of users with low formal education across the European Union (EU-27) responded that they used the internet to search or apply for jobs. Among people with medium formal education the share is three percent higher, amounting to 15 percent. According to the survey 21 percent of users across the European Union with a high degree of formal education searched and applied for jobs online.