Employment Rate in Chile decreased to 56.60 percent in May from 56.70 percent in April of 2025. This dataset provides - Chile Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Techsalerator’s Job Openings Data in Latin America provides a thorough and insightful dataset designed to deliver businesses, recruiters, labor market analysts, and job seekers with a comprehensive view of employment opportunities across the Latin American region. This dataset aggregates job postings from a diverse array of sources on a daily basis, ensuring that users have access to the most current and extensive collection of job openings available throughout Latin America.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates job postings from a variety of sources, including company career sites, job boards, recruitment agencies, and professional networking platforms. This comprehensive coverage ensures that users receive a broad spectrum of job opportunities from multiple channels. Daily Updates:

Data is updated daily, providing real-time insights into job market conditions. 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 segmentation allows users to analyze trends and opportunities within specific industries. Regional Breakdown:

Detailed information is provided on job openings across different countries and key regions within Latin America. This regional breakdown helps users understand job market dynamics and opportunities in various geographic areas. Role and Skill Analysis:

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

Users can access information about the companies posting job openings, including company names, industries, and locations. This data provides insights into which companies are hiring and where 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. Latin American Countries Covered: South America: Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Uruguay Venezuela Central America: Belize Costa Rica El Salvador Guatemala Honduras Nicaragua Panama Caribbean: Cuba Dominican Republic Haiti (Note: Primarily French-speaking, but included due to geographic and cultural ties) Jamaica Trinidad and Tobago Benefits of the Dataset: Strategic Recruitment: Recruiters and HR professionals can use the data to identify hiring trends, understand competitive practices, and optimize their 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, enhancing the efficiency and effectiveness of their job search. Workforce Planning: Companies can gain valuable insights into the availability of talent across Latin America, assisting with decisions related to market entry, expansion, and talent acquisition. Techsalerator’s Job Openings Data in Latin America is an essential tool for understanding the diverse and evolving job markets across the region. By providing up-to-date and detailed information on job postings, it supports effective decision-making for businesses, job seekers, and labor market analysts.

We contribute to the technology, skills, and jobs debate by exploiting a novel dataset for Chilean firms between 2007 and 2013, with information on the firms’ adoption of complex software used in client management, production, or administration and business software packages. Instrumental variables estimates show that, in the medium-run, adoption of this complex software reallocates employment away from professional and technical workers, toward administrative and unskilled workers (production and services). Adoption also increases the use of routine and manual tasks and reduces that of abstract tasks within firms. The contrast between ours and previous findings shows that labour market impacts of technology adoption hinge on the type of technology and its complementarity with the skills content of occupations.

Chile CL: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data was reported at 0.901 % in 2023. This records a decrease from the previous number of 0.911 % for 2022. Chile CL: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data is updated yearly, averaging 2.028 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 2.737 % in 1991 and a record low of 0.646 % in 2009. Chile CL: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Employment and Unemployment. Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

The Chile Cybersecurity Market report segments the industry into By Offering (Solutions, Services), By Deployment Mode (Cloud, On-Premise), By Organization Size (SMEs, Large Enterprises), and By End User (BFSI, Healthcare, IT and Telecom, Industrial & Defense, Retail, Energy and Utilities, Manufacturing, Others). Includes five years of historical data as well as five-year forecasts.

According to a survey carried out in Chile, the food segment was the most popular among internet users who engaged in gig economy activities. As of the second quarter of 2022, around ** percent of employed and ** percent of unemployed respondents were working within that segment. The delivery category ranked second among employed users, mentioned by ** percent of them. In 2021, PedidosYa, Uber Eats, and Rappi led the food delivery app market in Chile.

Chile CL: Coverage: Unemployment Benefits & Active Labour Market Programs: Poorest Quintile: % of Population data was reported at 11.324 % in 2022. This records an increase from the previous number of 9.971 % for 2020. Chile CL: Coverage: Unemployment Benefits & Active Labour Market Programs: Poorest Quintile: % of Population data is updated yearly, averaging 12.110 % from Dec 2006 (Median) to 2022, with 8 observations. The data reached an all-time high of 14.240 % in 2015 and a record low of 0.444 % in 2011. Chile CL: Coverage: Unemployment Benefits & Active Labour Market Programs: Poorest Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Social Protection and Insurance. Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

57.2 (%) in 2011. 2011: preliminary figures. In some cases the totals may differ from the sum of subtotals due to the rounding of figures, the aggregation process itself.

CL: Coverage: Unemployment Benefits & Active Labour Market Programs: 4th Quintile: % of Population data was reported at 12.466 % in 2022. This records an increase from the previous number of 10.289 % for 2020. CL: Coverage: Unemployment Benefits & Active Labour Market Programs: 4th Quintile: % of Population data is updated yearly, averaging 23.133 % from Dec 2006 (Median) to 2022, with 8 observations. The data reached an all-time high of 29.797 % in 2006 and a record low of 0.670 % in 2011. CL: Coverage: Unemployment Benefits & Active Labour Market Programs: 4th Quintile: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Social Protection and Insurance. Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

53,2 (%) in 2011. 2011: preliminary figures. In some cases the totals may differ from the sum of subtotals due to the rounding of figures, the aggregation process itself.

This paper estimates the dynamic returns to job training. We posit a model of sequential training participation, where decisions and outcomes depend on observed and unobserved characteristics. We analyze different treatment effects, including policy relevant parameters, and link them to continuation values and latent skills. The empirical analysis exploits administrative data combining job training records, matched employee-employer information, and pre-labor market ability measures from Chile. Although the average returns to training are small, these vary across the unobserved ability distribution and previous training choices. In fact, among young workers, the returns to training are lower when followed by additional training, providing evidence of dynamic substitutability. Policy experiments illustrate how increasing the local availability of training programs may affect earnings heterogeneously across dynamic responses.

Chile CL: Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data was reported at 9.054 % in 2022. This records a decrease from the previous number of 9.291 % for 2020. Chile CL: Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data is updated yearly, averaging 13.587 % from Dec 2009 (Median) to 2022, with 6 observations. The data reached an all-time high of 37.909 % in 2011 and a record low of 6.016 % in 2017. Chile CL: Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Social Protection and Insurance. Benefit incidence of unemployment benefits and active labor market programs (ALMP) to poorest quintile shows the percentage of total unemployment and active labor market programs benefits received by the poorest 20% of the population. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

Chile CL: Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data was reported at 7.347 % in 2022. This records a decrease from the previous number of 17.062 % for 2020. Chile CL: Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 4.950 % from Dec 2009 (Median) to 2022, with 6 observations. The data reached an all-time high of 17.062 % in 2020 and a record low of 0.494 % in 2011. Chile CL: Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Social: Social Protection and Insurance. Adequacy of unemployment benefits and active labor market programs (ALMP) is measured by the total transfer amount received by the population participating in unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;