The "Expanded Jobseeker Payment and Youth Allowance - monthly profile" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for JobSeeker Payment and Youth Allowance (other) recipients in the monthly profile includes:

• A monthly time series by rate of payment, providing details of recipients who are current on payment and in receipt of a full, part or zero rate of payment, and those who are suspended from payment (table 2)

• By work capacity status, showing those who have a partial capacity to work and those who have full capacity (table 7)

• By payment duration (table 8)

The “JobSeeker Payment and Youth Allowance recipients – monthly profile” is a monthly report, covering the Income Support payments of JobSeeker Payment and Youth Allowance (other). It also includes data on Youth Allowance (student and apprentice), Sickness Allowance and Bereavement Allowance. The report includes payment recipient numbers by demographics such as age, gender, state, earnings and Statistical Area Level 2.

View monthly updates and historical trends for US Unemployed Persons: Job Seeker. from United States. Source: Bureau of Labor Statistics. Track economic d…

This dataset contains characteristic information of job seekers who were on the jobactive caseload (including Online Employment Services and the New Employment Services Trial) on 31 May 2020. It also contains information on job seekers who responded to particular questions in the Digital Literacy Assessment on or before 31 May 2020.

The tables include a range of characteristics including gender, age ranges, and questionnaire responses by geographical region

Job Seekers: Entries: Category ABC: New Entrants data was reported at 28.500 Person th in Apr 2018. This records a decrease from the previous number of 33.100 Person th for Mar 2018. Job Seekers: Entries: Category ABC: New Entrants data is updated monthly, averaging 30.750 Person th from Jan 1996 (Median) to Apr 2018, with 268 observations. The data reached an all-time high of 122.800 Person th in Sep 1997 and a record low of 12.600 Person th in Apr 2012. Job Seekers: Entries: Category ABC: New Entrants data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G044: Labour Statistics: Job Seekers.

The Department of Jobs and Small Business publishes quarterly reports on a range of job seeker compliance data.

Quarterly compliance data has been available on the department's website since 2006. The data relates to those job seekers on activity tested income support payments for the relevant quarter, and many of the indicators are broken down by categories such as age, gender, payment type, indigeneity and employment service programme - i.e. jobactive, Disability Employment Services (DES) and the Community Development Programme (CDP).

The data includes a range of statistics on job seeker attendance at appointments with employment services providers, income support payment suspensions, the number and type of non-compliance reported and the number of participation failures and financial penalties applied.

Job Seekers: Entries: Category ABC: Recovery Activities data was reported at 75.800 Person th in Apr 2018. This records a decrease from the previous number of 82.500 Person th for Mar 2018. Job Seekers: Entries: Category ABC: Recovery Activities data is updated monthly, averaging 26.300 Person th from Jan 1996 (Median) to Apr 2018, with 268 observations. The data reached an all-time high of 132.500 Person th in Jul 2017 and a record low of 7.500 Person th in Apr 2000. Job Seekers: Entries: Category ABC: Recovery Activities data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G044: Labour Statistics: Job Seekers.

France Job Seekers: Category A data was reported at 3,413.800 Person th in Sep 2018. This records a decrease from the previous number of 3,577.500 Person th for Aug 2018. France Job Seekers: Category A data is updated monthly, averaging 2,814.400 Person th from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 3,742.700 Person th in Jan 2016 and a record low of 1,858.500 Person th in Jun 2008. France Job Seekers: Category A data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G044: Labour Statistics: Job Seekers.

Job Dataset

This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

Descriptions for each of the columns in the dataset:

1. Job Id: A unique identifier for each job posting.
2. Experience: The required or preferred years of experience for the job.
3. Qualifications: The educational qualifications needed for the job.
4. Salary Range: The range of salaries or compensation offered for the position.
5. Location: The city or area where the job is located.
6. Country: The country where the job is located.
7. Latitude: The latitude coordinate of the job location.
8. Longitude: The longitude coordinate of the job location.
9. Work Type: The type of employment (e.g., full-time, part-time, contract).
10. Company Size: The approximate size or scale of the hiring company.
11. Job Posting Date: The date when the job posting was made public.
12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
13. Contact Person: The name of the contact person or recruiter for the job.
14. Contact: Contact information for job inquiries.
15. Job Title: The job title or position being advertised.
16. Role: The role or category of the job (e.g., software developer, marketing manager).
17. Job Portal: The platform or website where the job was posted.
18. Job Description: A detailed description of the job responsibilities and requirements.
19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
20. Skills: The skills or qualifications required for the job.
21. Responsibilities: Specific responsibilities and duties associated with the job.
22. Company Name: The name of the hiring company.
23. Company Profile: A brief overview of the company's background and mission.

Potential Use Cases:

• Building predictive models to forecast job market trends.
• Enhancing job recommendation systems for job seekers.
• Developing NLP models for resume parsing and job matching.
• Analyzing regional job market disparities and opportunities.
• Exploring salary prediction models for various job roles.

Acknowledgements:

We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

Note:

Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

France Job Seekers: Category A: Age: 25 to 49 data was reported at 2,047.900 Person th in Oct 2018. This records an increase from the previous number of 2,019.200 Person th for Sep 2018. France Job Seekers: Category A: Age: 25 to 49 data is updated monthly, averaging 1,836.750 Person th from Jan 1996 (Median) to Oct 2018, with 274 observations. The data reached an all-time high of 2,261.700 Person th in Jan 2016 and a record low of 1,242.900 Person th in Jun 2008. France Job Seekers: Category A: Age: 25 to 49 data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G044: Labour Statistics: Job Seekers.

Aggregated and curated statistics about the job search process, including application volumes, interview-to-offer rates, time-to-hire, acceptance rates, and trends by role, industry, and geography.

In 2024, over ******* people in West Java, Indonesia were registered as jobseekers. Central Java followed as the province with the second-highest number of jobseekers, with over ******* people looking for employment.

France Job Seekers: swda: Category A: Age: 25 to 49 data was reported at 2,054.500 Person th in Jun 2018. This records a decrease from the previous number of 2,056.000 Person th for May 2018. France Job Seekers: swda: Category A: Age: 25 to 49 data is updated monthly, averaging 1,806.350 Person th from Jan 1996 (Median) to Jun 2018, with 270 observations. The data reached an all-time high of 2,176.800 Person th in May 1997 and a record low of 1,313.800 Person th in Feb 2008. France Job Seekers: swda: Category A: Age: 25 to 49 data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G043: Labour Statistics: Job Seekers: Seasonally and Working Day Adjusted.

Jobseeker’s Allowance by age and duration.

This statistic shows the share of job seekers satisfied with the service provided by the Employment Agency in France as of December 2024, by region. Corsica had the highest satisfaction rate, with **** percent of satisfied respondents in 2024.

France Job Seekers: Category A: Male data was reported at 1,749.000 Person th in Oct 2018. This records an increase from the previous number of 1,713.200 Person th for Sep 2018. France Job Seekers: Category A: Male data is updated monthly, averaging 1,392.500 Person th from Jan 1996 (Median) to Oct 2018, with 274 observations. The data reached an all-time high of 1,999.500 Person th in Jan 2016 and a record low of 902.600 Person th in Jun 2008. France Job Seekers: Category A: Male data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G044: Labour Statistics: Job Seekers.

In 2023, roughly 2.2 million people were looking for employment registered under the PESO Employment Information System (PEIS) of the labor department in the Philippines. This was just slightly higher than in the previous year. Employment situation in the Philippines  The Philippines has a predominantly young population, with working-age individuals totaling about 77 million in 2022. In that same year, the employment rate stood at 94.6 percent, with over half of the employed population working in the services industry. However, as the country experienced long periods of lockdown during the COVID-19 pandemic, unemployment, and underemployment slightly increased. Most importantly, the number of job vacancies registered under the PESO Employment Information System (PEIS) in that year was just a third of the total number of registered job seekers in the Philippines. PESO Employment Information System (PEIS) – more information To improve the local labor and employment situation in the Philippines, the Department of Labor and Employment created a database that shows information on job vacancies and the active workforce supply of registered job seekers. Through this free multiservice facility, applicants can request a job match based on their skills, while employers can fill in their vacancies by browsing through a database of qualified applicants. In 2023, about 35,000 employers registered on the platform, looking mostly for production workers and call center agents.

This paper uses job seekers’ elicited beliefs about job finding to disentangle the sources of the decline in job-finding rates by duration of unemployment. We document that beliefs have strong predictive power for job finding, but are not revised downward when remaining unemployed and are subject to optimistic bias, especially for the long-term unemployed. Leveraging the predictive power of beliefs, we find substantial heterogeneity in job finding with the resulting dynamic selection explaining most of the observed negative duration dependence in job finding. Moreover, job seekers’ beliefs under-react to heterogeneity in job finding, distorting search behavior and increasing long-term unemployment.

View monthly updates and historical trends for US Unemployed Persons: Quit Job Job Seeker. from United States. Source: Bureau of Labor Statistics. Track e…

Techsalerator’s Job Openings Data in Africa offers a comprehensive and insightful dataset designed to provide businesses, recruiters, labor market analysts, and job seekers with a thorough view of employment opportunities across the African continent. This dataset aggregates job postings from a wide range of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Africa.

Key Features of the Dataset: Broad Coverage:

The dataset aggregates job postings from numerous sources including company career pages, job boards, recruitment agencies, and professional networking sites. This extensive coverage ensures a broad spectrum of job opportunities from multiple channels. Daily Updates:

Job posting data is updated daily, providing real-time insights into the job market. This frequent updating ensures that the dataset reflects the latest job openings and market trends. Sector-Specific Data:

Job postings are categorized by industry sectors such as technology, healthcare, finance, education, manufacturing, and more. This categorization allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

The dataset includes detailed information on job openings across different countries and regions within Africa. This regional breakdown helps users understand job market dynamics and opportunities in various geographic locations. Role and Skill Insights:

The dataset includes information on job roles, required skills, qualifications, and experience levels. This feature assists job seekers in finding opportunities that match their expertise and helps recruiters identify candidates with the desired skill sets. Company Information:

Users can access details about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where the demand for talent is highest. Historical Data:

The dataset may include historical job posting data, enabling users to perform trend analysis and comparative studies over time. This feature supports understanding changes and developments in the job market. African Countries Covered: Northern Africa: Algeria Egypt Libya Mauritania Morocco Sudan Tunisia Sub-Saharan Africa: West Africa: Benin Burkina Faso Cape Verde Ivory Coast (Côte d'Ivoire) Gambia Ghana Guinea Guinea-Bissau Liberia Mali Niger Nigeria Senegal Sierra Leone Togo Central Africa: Angola Cameroon Central African Republic Chad Congo, Republic of the Congo, Democratic Republic of the Equatorial Guinea Gabon São Tomé and Príncipe East Africa: Burundi Comoros Djibouti Eritrea Eswatini (Swaziland) Ethiopia Kenya Lesotho Malawi Mauritius Rwanda Seychelles Somalia Tanzania Uganda Southern Africa: Botswana Lesotho Namibia South Africa Swaziland (Eswatini) Zimbabwe Benefits of the Dataset: Enhanced Recruitment Strategies: Recruiters and HR professionals can use the dataset to identify hiring trends, understand competitive practices, and refine recruitment strategies based on real-time market insights. Labor Market Analysis: Analysts and policymakers can leverage the dataset to study employment trends, identify skill gaps, and evaluate job market opportunities across different regions and sectors. Job Seeker Support: Job seekers can access a comprehensive and updated list of job openings tailored to their skills and preferred locations, making their job search more efficient and targeted. Strategic Workforce Planning: Companies can gain valuable insights into the availability of talent across Africa, assisting with decisions related to market expansion, office locations, and talent acquisition. Techsalerator’s Job Openings Data in Africa is a critical resource for understanding the diverse and evolving job markets across the continent. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

The jobactive Job Placements table provides data on jobactive job placements. The table includes provider information, vacancy details, job seeker characteristics at the time of the job placement and job placement to outcome conversion denominators and numerators. The lowest data grain in the dataset is JOB_PLACEMENT_ID, a unique code generated each time a job seeker is referred to a vacancy. The dataset was extracted on 5 August 2018, however is based on job placements confirmed between 1 July 2016 and 30 June 2017. \r Please note that the time period of the dataset has been restricted to mitigate any potential sensitivity risks and this may limit certain analyses.