Introducing the Indeed Job Postings Index

Hiring Lab's Job Postings Tracker is being re-released as the Indeed Job Postings Index. By Chris Glynn

Indeed Hiring Lab is re-releasing our Job Postings Tracker as the Indeed Job Postings Index, a daily measure of labor market activity that is updated and will continue to be released weekly. Covering seven national markets in the US, Canada, United Kingdom, Ireland, France, Germany, and Australia, the Indeed Job Postings Index meets one of Hiring Lab’s primary goals: produce high quality and high frequency labor market metrics using Indeed’s proprietary data.

The primary difference between the Indeed Job Postings Index and the legacy Job Postings Tracker is the level. The Indeed Job Postings Index is set to 100 on February 1, 2020, and this effectively provides a uniform level shift of 100 to the existing Job Postings Tracker across all time points.The Job Postings Tracker measured the percent change in postings from February 1st, 2020. For example, if the Job Postings Tracker were 40%, the corresponding Indeed Job Postings Index on the same date would be 140. Additionally, we are now including year-over-year and month-over-month percent changes in the Indeed Job Postings Index as part of our data portal on hiringlab.org/data and on our GitHub page. Month-over-month changes are calculated as 28 day (4 week) differences to control for day of week.

As Covid-19 fades from the global labor market discussion, moving to an index better reflects current economic conditions. The Indeed Job Postings Index allows us to compare job postings more naturally across flexible date ranges as opposed to comparing to the pre-pandemic baseline. It also places Indeed’s job postings metric in a broader class of macroeconomic indexes such as the Case Shiller Index that measures house price appreciation and the Consumer Price Index that measures inflation.

Data Schema Each market covered by a Hiring Lab economist has a folder in this repo. Each folder contains the following files:

aggregate_job_postings_{country_code}.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings and new jobs postings (on Indeed for 7 days or fewer) for that market, as well as non-seasonally adjusted postings since February 1, 2020 for total job postings.

job_postings_by_sector_{country_code}.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for occupational sectors for that market. We do not share sectoral data for Ireland.

For certain markets, we also share subnational job postings trends. In the United States, we provide:

metro_job_postings_us.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in US metropolitan areas with a population of at least 500,000 people.

state_job_postings_us.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in the US states and the District of Columbia.

In Canada, we provide:

provincial_postings_ca.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each Canadian provinces. In the United Kingdom, we provide:

regional_postings_gb.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each region in the UK.

city_postings_gb.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each city in the UK.

Github link: https://github.com/hiring-lab/job_postings_tracker#data-schema Hiring Lab Link: https://www.hiringlab.org/2022/12/15/introducing-the-indeed-job-postings-index/

Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Dataset Description: "LinkedIn Canada: Data Science Jobs 2024"

Overview: The "LinkedIn Canada: Data Science Jobs 2024" dataset presents an insightful overview of the data science job market in Canada as sourced from LinkedIn. This dataset, comprising 300 unique entries, meticulously details various aspects of job postings including company information, job titles, locations, contract types, experience levels, and industry sectors. It serves as a compact yet rich resource for understanding the landscape of data science employment opportunities in Canada at the beginning of 2024.

Data Science and Analysis Possibilities: Given its focused scope, this dataset is ideally suited for targeted data analysis and research within the realm of the Canadian data science job market. Analysts and researchers can utilize this dataset to: - Identify trends in job availability across different provinces or cities in Canada. - Analyze the distribution of job types and roles within the data science field. - Compare qualifications and experience levels sought by employers. - Investigate sector-specific demand for data science skills. While the dataset's size may limit broad generalizations, it offers an excellent opportunity for niche analyses and case studies.

Column Descriptors: The dataset contains the following key columns:

-Company Name: The name of the company posting the job.
-Job Title: The title of the job posting.
-Location: Geographical location of the job.
-Contract Type: Type of employment contract offered (e.g., Full-time, Part-time).
-Experience Level: Required experience level for the job (e.g., Entry-level, Mid-Senior level).
-Sector: Industry sector of the job posting.
-Description: Brief description of the job role and responsibilities.
-Applications Count: Number of applicants for the job.
-Published At: The date when the job was posted

Ethical Data Collection: Adhering to ethical data collection practices, this dataset was gathered using Apify, ensuring that it conforms to LinkedIn’s data use policies and respects user privacy. This approach guarantees that the dataset is not only accurate and relevant but also responsibly sourced.

Acknowledgments: We are grateful to LinkedIn and Apify for their essential roles in providing and facilitating access to such valuable job market data. Their contribution is pivotal in enabling a deeper understanding of employment trends in the data science sector.

Image Credit: The image visualizing this dataset was created using Dall-E 3, reflecting the innovative intersection of artificial intelligence and art. This visual aid enhances the presentation of the dataset, symbolizing its thematic focus and contemporary relevance.

Techsalerator's Job Openings Data for Canada: A Comprehensive Resource for Employment Insights

Techsalerator's Job Openings Data for Canada is a powerful tool for businesses, job seekers, and labor market analysts looking for detailed insights into the Canadian job market. This dataset compiles job openings from a variety of sources, including company websites, job boards, and recruitment agencies, offering a clear picture of employment opportunities across multiple industries in Canada.

Key Data Fields

• Job Posting Date: Tracks the date a job was listed. This helps job seekers and HR professionals stay informed about the latest job openings and emerging employment trends.
• Job Title: Describes the position being advertised, allowing users to categorize and filter job listings based on career interests and industry sectors.
• Company Name: Lists the hiring company, enabling job seekers to target their applications while businesses can monitor competitors and track industry hiring trends.
• Job Location: Provides geographic details, helping job seekers find local or regional opportunities and employers analyze labor market conditions in different provinces and cities.
• Job Description: Offers essential information regarding the role's responsibilities, required skills, and other qualifications. This helps candidates determine their suitability and enables recruiters to communicate expectations effectively.

Top 5 Job Categories in Canada

1. Information Technology (IT): Canada’s tech sector continues to thrive, with strong demand for software developers, IT consultants, and cybersecurity specialists in cities like Toronto, Vancouver, and Montreal.
2. Healthcare: The need for healthcare professionals such as nurses, doctors, and medical technologists is growing, driven by the aging population and healthcare system expansion.
3. Education: Opportunities in teaching, administration, and academic research are plentiful as educational institutions continue to grow and invest in talent across Canada.
4. Engineering: Demand for civil, mechanical, and electrical engineers is robust, particularly in infrastructure projects, renewable energy, and environmental engineering.
5. Retail and Hospitality: With a strong tourism sector and dynamic retail markets, job openings in customer service, management, and sales are widely available, especially in larger urban areas.

Top 5 Employers in Canada

1. Shopify: A leading e-commerce platform headquartered in Ottawa, offering roles in software development, customer support, and sales.
2. Rogers Communications: A major telecommunications provider with frequent openings in IT, marketing, and customer service.
3. Toronto-Dominion Bank (TD): One of Canada’s largest banks, offering opportunities in finance, IT, and customer relationship management.
4. University of Toronto: Canada’s top university regularly recruits academic and administrative professionals across multiple campuses.
5. Loblaw Companies: One of the country’s largest retailers, offering positions in retail management, logistics, and operations across its grocery and pharmacy brands.

Accessing Techsalerator’s Data

To access Techsalerator’s Job Openings Data for Canada, please contact info@techsalerator.com with your specific requirements. We offer customized quotes based on the data fields and volume of records needed, with delivery available within 24 hours. Subscription options for ongoing data access can also be arranged.

Included Data Fields: - Job Posting Date - Job Title - Company Name - Job Location - Job Description - Application Deadline - Job Type (Full-time, Part-time, Contract) - Salary Range - Required Qualifications - Contact Information

Techsalerator’s dataset is an essential resource for anyone tracking job openings and employment trends in Canada, offering critical data to help businesses, job seekers, and analysts make informed decisions.

Employment in Canada increased by 66.60 in October of 2025. This dataset provides the latest reported value for - Canada Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), gender and age group. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

This statistic shows the annual growth in employment in Canada throughout 2022 to 2031, by industry. Throughout 2022 to 2031, employment in the healthcare industry is forecast to grow at an annual rate of *** percent on average.

The 3-year Employment Outlooks consist of a rating (very good, good, moderate, limited or very limited) of the employment prospects as well as a narrative text that provides an assessment of the main forecast indicators, recent statistics, and value-added regional observations. Employment Outlooks are developed for each detailed occupation in all provinces, territories and economic regions of Canada, where data permits. They are updated annually. The Employment Outlooks developed until the 2015-2017 period were assessed on the basis of the National Occupational Classification (NOC) 2006, and include up to 520 occupations. Beginning with the 2016-2018 Outlooks, the NOC 2011 is used for the analysis and the Outlooks include up to 500 occupations. Outlooks and trend descriptions for the latest year (currently disseminated on Job Bank) are subject to change as new information becomes available. Every effort will be made to keep the records on the Open Data Portal as up to date as possible, though delays may occur. If you have comments or questions regarding the 3-year Employment Outlooks, please contact the Labour Market Information division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

This statistic shows the annual growth in employment in Canada from 2000 projected to 2031. In 2031, the growth in employment in Canada is forecast to be *********** over the previous year.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, data on wage rates, union status, job permanency and establishment size are also produced.

Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.

The number of employed people in Canada stood at 20.72 million people in 2024. Between 1980 and 2024, the number rose by 9.74 million people, though the increase followed an uneven trajectory rather than a consistent upward trend. From 2024 to 2026, the number will increase by 360,000 people.The indicator describes the number of employed people. This refers to persons who during a pre-defined period, either: a) performed wage or salary work, b) held a formal attachment to their job (even if not currently working), (c) performed for-profit work for personal or family gain , (d) were with an enterprise although temporarily not at work for any specific reason.

Employment Rate in Canada increased to 60.80 percent in October from 60.60 percent in September of 2025. This dataset provides - Canada Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Canada Labour Productivity Growth

• Canada Labour Productivity improved by 1.27 % YoY in Sep 2025, compared with a drop of 0.10 % in the previous quarter
• Canada Labour Productivity Growth data is updated quarterly, available from Mar 1977 to Sep 2025, averaging at 0.66 %
• The data reached an all-time high of 4.15 % in Sep 1999 and a record low of -2.81 % in Dec 1986

CEIC calculates Labour Productivity Growth from quarterly Real GDP and monthly Employment. Statistics Canada provides Real GDP in local currency, based on CSMA/SNA 2008, at chain linked 2017 prices and Employment

About Dataset

This dataset contains 2,500 job postings from various industries, focusing primarily on roles in IT, Sales, Facilities Management, and SAP domains. Each record provides detailed information about:
- Job Title: The specific role being offered.
- Company Name: The organization offering the position.
- Location: The geographical location(s) of the job.
- Experience Requirements: The range of years of experience required for the role.

Key Features:

• Covers multiple industries and roles, with an emphasis on IT and management.
• Includes job postings from various countries, such as Australia, Canada, India, and more.
• A valuable resource for job market analysis, trend prediction, and career research.

Potential Use Cases:

1. Data Analysis: Explore hiring trends, geographical preferences, and experience requirements.
2. Machine Learning: Build models for job recommendation systems or salary prediction.
3. Career Guidance: Understand the demand for specific roles in different locations.
4. Visualization Projects: Create dashboards showcasing job trends and insights.

This dataset is ideal for researchers, analysts, and developers interested in understanding the global job market.

The Employment Sector, a sector attached to the Ministry of Employment and Social Solidarity (MESS), makes forecasts of the labour market every year in the medium (five years) and in the long term (ten years). These forecasts cover employment by industry and occupation, as well as labour market participation and unemployment. They are based on medium and long-term economic forecasts from the Conference Board of Canada (cBDC), including those for household consumption, government spending, private and public investments, exports and imports, and exports, and imports, and exchange rate trends. If the economic growth observed during the forecast period is different from that expected by the cBDC, the evolution of employment could thus differ from what the Employment Sector foresees in its forecasts.

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.

Net employment growth and Gross employment creation and destruction by North American Industry Classification System, for each province and territory from the Longitudinal Employment Analysis Program.

Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.