In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

Employment Rate in the United States decreased to 59.90 percent in February from 60.10 percent in January of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This statistic depicts the share of individuals in the United States who claim to change jobs every one to five years between 2016 and 2018. During the 2018 survey, 51 percent of respondents stated they change jobs every one to five years.

The unemployment rate in fiscal year 2204 rose to 3.9 percent. The unemployment rate of the United States which has been steadily decreasing since the 2008 financial crisis, spiked to 8.1 percent in 2020 due to the COVID-19 pandemic. The annual unemployment rate of the U.S. since 1990 can be found here. Falling unemployment The unemployment rate, or the part of the U.S. labor force that is without a job, fell again in 2022 after peaking at 8.1 percent in 2020 - a rate that has not been seen since the years following the 2008 financial crisis. The financial crash caused unemployment in the U.S. to soar from 4.6 percent in 2007 to 9.6 percent in 2010. Since 2010, the unemployment rate had been steadily falling, meaning that more and more people are finding work, whether that be through full-time employment or part-time employment. However, the affects of the COVID-19 pandemic created a spike in unemployment across the country. U.S. unemployment in comparison Compared to unemployment rates in the European Union, U.S. unemployment is relatively low. Greece was hit particularly hard by the 2008 financial crisis and faced a government debt crisis that sent the Greek economy into a tailspin. Due to this crisis, and the added impact of the pandemic, Greece still has the highest unemployment rate in the European Union.

According to Cognitive Market Research, the global Recruitment & Staffing market size is USD 519848.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 9.90% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 207939.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.1% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 155954.55 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 119565.16 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.9% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 25992.43 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.3% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 10396.97 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.6% from 2024 to 2031.
Recruiting held the domiant position in the Recruitment & Staffing market

Market Dynamics of Recruitment & Staffing Market

Key Drivers for Recruitment & Staffing Market

Huge job opportunities in the BFSI and IT sectors drive staffing and recruitment market growth

IT hiring and recruitment sector is rapidly expanding. According to research from the online hiring site Monster, the banking, financial services, and insurance (BFSI) industry in India will see a 27% increase in job posts year over year in February 2023. According to Monster data, finance-related employment will account for around 8% of all jobs posted on the site by 2023. Furthermore, India is seeing a significant increase in job prospects as a result of digitization, payment innovations, and expanded financial inclusion, as well as the forthcoming 5G deployment. According to the Monster Employment Index, hiring in the BFSI industry increased by 25% in August 2022, after experiencing a 21% increase in July 2022.

Rising young populations

The presence of young workers in the job market and the desire of recruitment agencies for budget-friendly approaches are significantly impacting the expansion of the Recruitment & Staffing Market. Recruitment helps connect skilled and capable young individuals with organizations that are seeking employees, ensuring companies find the right candidates for their needs. Similarly, the focus on expenses has led companies to choose recruitment solutions that are both efficient and cost-effective. These elements contribute to the expansion of the Recruitment & Staffing Market by meeting the demand for cost-effective and effective recruitment services, enabling businesses to acquire the appropriate talent.

Restraint Factor for the Recruitment & Staffing Market

Rising Costs and Margin Pressure

The Recruitment & Staffing Market is restrained by increasing cost and margin pressure. As the operational cost increases in the industry (for eg technology investment, talent acquisition cost etc.), it leads to margin pressure for the recruitment agencies, as every business tries to maintain the profit margin, which directly impact the competitive pricing for the services offered. The rising operational cost may also affect the smaller agencies to invest in cutting edge technologies, training programs etc., which directly impact their competitiveness in the market. Hence the increasing cost in the industry will definitely be a challenge and how efficiently businesses manage this cost pressure will define their sustained growth and profitability.

Impact of Covid-19 on the Recruitment & Staffing Market

The Covid-19 pandemic changed the Recruitment & Staffing market dynamically with its impact across the entire global market. As a result of the COVID-19 pandemic that led to some shutdowns, economic instability and business disruption, many organizations were compelled to freeze or even downsize their employee intake, hence reducing the demand for recruitment services. Nevertheless, as the economis slowly turns into improvement there is observed the shift in the focus on remote work and virtual hiring what accelerates the employment of digital recruitment solutions and platforms. Temporary and contract st...

In 2025, there were estimated to be approximately 3.6 billion people employed worldwide, compared to 2.23 billion people in 1991 - an increase of around 1.4 billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly 90 percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was 0.83, meaning women made, on average, 83 cents per every dollar earned by men.

According to Cognitive Market Research, the global Recruitment Market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 13.00 % from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2 % from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD XX million.
Asia Pacific held a market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 15 % from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4 % from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031. 
The Professional/Managerial sector segment had the largest share in the global Recruitment Market by application.

Market Dynamics of Recruitment Market

Key Drivers of Recruitment Market

Rising Emphasis On Automating The Recruitment Process Is Expected To Contribute To Market Expansion

The advent of Internet technology has brought about significant changes in the execution of online recruitment processes in recent years. There has been a notable shift from traditional recruitment methods to more efficient and cost-effective approaches, which has become a primary concern for companies and government organizations. Many companies have transitioned to using online recruitment platforms, known as e-recruitment, instead of traditional methods. Additionally, job seekers have become more proactive in searching for and applying for job opportunities online. To attract a qualified pool of candidates, companies are focusing on creating compelling, user-friendly content on their platforms or through online job portals. Today, e-recruitment is widely adopted across organizations of all sizes. However, most organizations primarily use e-recruitment platforms to advertise job vacancies, manage interview requests, and communicate with candidates via email. As a result, the integration of the Internet and information technology has transformed traditional recruitment processes, providing organizations with a means to identify suitable candidates for job positions efficiently.

Growing Social Media Presence Is Driving The Need For Advanced Online Recruitment Technology

The emergence of social networking has created new avenues for interaction and transformed the sharing of knowledge. As social networking platforms continue to expand and gain prominence, they offer exciting opportunities for the recruitment industry. In the evolving global business landscape, the role of social media has grown significantly. Recruiters recognize the importance of adopting innovative methods to enhance their business strategies by engaging with talent across various social media platforms. The widespread adoption of social media has led businesses to acknowledge its effectiveness as a marketing tool. Infiltrating the recruitment domain, social networking has become a popular trend among many companies. It serves as a potent tool for businesses to advertise job openings and gain a competitive advantage, attracting a broader pool of potential candidates. Today, businesses increasingly rely on social networking over traditional media channels like magazines, radio, or recruitment agencies. In recent years, the integration of social media has transformed the recruitment process for numerous companies globally.

Restraint Factors Of Recruitment Market

Increasing Prevalence Of Online Fraudulent Applications Is Expected To Impede Growth

The increasing incidence of online fraudulent applications is a significant concern affecting the growth of the recruitment industry. This challenge is exacerbated by the widespread availability of easy internet access, leading to a surge in the number of applicants in online recruitment processes. The sheer volume of applicants makes it challenging for companies and recruitment managers to identify and hire specific employees while efficiently filtering out unqualified candidates. Furthermore...

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Market. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Market, the median income for all workers aged 15 years and older, regardless of work hours, was $105,938 for males and $70,156 for females.

These income figures highlight a substantial gender-based income gap in New Market. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the town of New Market.

- Full-time workers, aged 15 years and older: In New Market, among full-time, year-round workers aged 15 years and older, males earned a median income of $133,958, while females earned $97,083, leading to a 28% gender pay gap among full-time workers. This illustrates that women earn 72 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in New Market.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Market median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Market. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Market, the median income for all workers aged 15 years and older, regardless of work hours, was $48,575 for males and $25,159 for females.

These income figures highlight a substantial gender-based income gap in New Market. Women, regardless of work hours, earn 52 cents for each dollar earned by men. This significant gender pay gap, approximately 48%, underscores concerning gender-based income inequality in the town of New Market.

- Full-time workers, aged 15 years and older: In New Market, among full-time, year-round workers aged 15 years and older, males earned a median income of $51,719, while females earned $43,274, leading to a 16% gender pay gap among full-time workers. This illustrates that women earn 84 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in New Market.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Market median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Market. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Market, the median income for all workers aged 15 years and older, regardless of work hours, was $45,939 for males and $28,299 for females.

These income figures highlight a substantial gender-based income gap in New Market. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the town of New Market.

- Full-time workers, aged 15 years and older: In New Market, among full-time, year-round workers aged 15 years and older, males earned a median income of $47,856, while females earned $45,004, resulting in a 6% gender pay gap among full-time workers. This illustrates that women earn 94 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of New Market.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in New Market.

https://i.neilsberg.com/ch/new-market-tn-income-by-gender.jpeg" alt="New Market, TN gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Market median household income by gender. You can refer the same here

The key indicator relates the number of unemployed jobseekers (IDS) with a period of unemployment of 2 years or more to the labour force (persons in the labour market, whether employed or not) aged 15-64, as an annual average. The calculation is also made for other periods of non-occupancy (less than 6 months, 1 year and more, 5 years and more). See also: - Monthly data from "\2". - Monthly data from "\2".

Overview WageScape's global job market data provide real-time, forward-looking insights into the international labor market. Covering diverse industries and regions, it supports workforce analytics, economic forecasting, and strategic planning, leveraging LinkedIn data, company data, and employee data.

Main Attributes • Job Titles: Across various sectors. • Locations: Country to city-specific details. • Job Descriptions: Roles and requirements. • Company Information: Names and sectors. • Posting Dates: Timeline of activity.

Coverage • Industries: Technology, healthcare, finance, manufacturing, retail, and more. • Geographical Reach: 62 countries, from national to local levels.

Scale and Quality Indicators • Data Volume: Over 5 million job postings data monthly. • Hiring Organizations: 15+ million worldwide. • High Precision: Rigorous validation.

Use Cases • Workforce Analytics: Analyze trends for HR decisions. • Economic Forecasting: Predict global trends. • Talent Acquisition: Improve recruitment strategies. • Market Research: Understand labor trends. • Strategic Planning: Inform business strategies.

Data Accessibility • Delivery Channels: Data-as-a-Service (DaaS). • Customizable Reports: Tailored to needs. • Integration: Seamless integration into existing systems.

Key Benefits • Real-Time Insights: Timely job market data for informed decisions. • Forward-Looking Data: Predict future global labor trends. • Comprehensive Coverage: Extensive industry and geographic data. • High Quality and Scale: Millions of job postings data monthly for robust analysis. • Actionable Insights: Enhance job modeling and workforce strategies globally.

Key Points WageScape's dataset is essential for navigating the global labor market. With extensive coverage, high-quality data, and actionable insights, it empowers businesses to make informed decisions, optimize workforce strategies, and stay competitive.

The attitude of workers to work.

Topics: by means of the same 32-item scale detailed characterizations of:

a) one´s own activity and personal workplace,

b) the ideal image of employment,

c) the possibility of relief and more pleasant structuring of one´s own job and

d) possibilities of more efficient job performance; description of change and the opportunities to learn in the occupation; responsibility in the company; degree of co-determination possibilities; adequate use of personal capabilities in current occupation; comparison of ´passage of time´ at work and in leisure time (scale); work satisfaction; work orientation; personal freedom in structuring work (scale); judgement on current situation in the job market in comparison with the situation 10 years ago; changes at one´s place of work in the last 5 years; occupational changes due to technological developments; judgement on the employment and personnel situation of the company; readiness to work more in bottleneck situations; exercising side jobs; plan of professional life; frequency of change of occupation; most important political demands; personal work ethics and assumed attitude of parents; attitude to economic growth as well as connection between economic growth and unemployment; judgement on wage equity in company; attitude to change of daily working hours for the benefit of more vacation or longer weekends; identification with company; ties to company and solidarity of company with employees; atmosphere at work; bad treatment experienced at current job and personal reactions to this; achievement motivation; reaction to criticism at one´s place of work; judgement on cooperative and achievement-oriented leadership style, measured on personal preferences; judgement on leadership practices of superiors in company; satisfaction with income.

Overview: Each quarter, the Temporary Foreign Worker Program (TFWP) publishes Labour Market Impact Assessment (LMIA) statistics on Open Government Data Portal, including quarterly and annual LMIA data related to, but not limited to, requested and approved TFW positions, employment location, employment occupations, sectors, TFWP stream and temporary foreign workers by country of origin. The TFWP does not collect data on the number of TFWs who are hired by an employer and have arrived in Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC) and not all positions on a positive LMIA result in a work permit. For these reasons, data provided in the LMIA statistics cannot be used to calculate the number of TFWs that have entered or will enter Canada. IRCC publishes annual statistics on the number of foreign workers who are issued a work permit: https://open.canada.ca/data/en/dataset/360024f2-17e9-4558-bfc1-3616485d65b9. Please note that all quarterly tables have been updated to NOC 2021 (5 digit and training, education, experience and responsibilities (TEER) based). As such, Table 5, 8, 17, and 24 will no longer be updated but will remain as archived tables. Frequency of Publication: Quarterly LMIA statistics cover data for the four quarters of the previous calendar year and the quarter(s) of the current calendar year. Quarterly data is released within two to three months of the most recent quarter. The release dates for quarterly data are as follows: Q1 (January to March) will be published by early June of the current year; Q2 (April to June) will be published by early September of the current year; Q3 (July to September) will be published by early December of the current year; and Q4 (October to December) will be published by early March of the next year. Annual statistics cover eight consecutive years of LMIA data and are scheduled to be released in March of the next year. Published Data: As part of the quarterly release, the TFWP updates LMIA data for 28 tables broken down by: TFW positions: Tables 1 to 10, 12, 13, and 22 to 24; LMIA applications: Tables 14 to 18; Employers: Tables 11, and 19 to 21; and Seasonal Agricultural Worker Program (SAWP): Tables 25 to 28. In addition, the TFWP publishes 2 lists of employers who were issued a positive or negative LMIA: Employers who were issued a positive LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97/resource/b369ae20-0c7e-4d10-93ca-07c86c91e6fe); and Employers who were issued a negative LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/f82f66f2-a22b-4511-bccf-e1d74db39ae5/resource/94a0dbee-e9d9-4492-ab52-07f0f0fb255b). Things to Remember: 1. When data are presented on positive or negative LMIAs, the decision date is used to allocate which quarter the data falls into. However, when data are presented on when LMIAs are requested, it is based on the date when the LMIA is received by ESDC. 2. As of the publication of 2022Q1- 2023Q4 data (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' are included in TFWP statistics, unless indicated otherwise. All quarterly data in this report includes PR Only LMIAs. Dual-intent LMIAs and corresponding positions are included under their respective TFWP stream (e.g., low-wage, high-wage, etc.) This may impact program reporting over time. 3. Attention should be given for data that are presented by ‘Unique Employers’ when it comes to manipulating the data within that specific table. One employer could be counted towards multiple groups if they have multiple positive LMIAs across categories such as program stream, province or territory, or economic region. For example, an employer could request TFWs for two different business locations, and this employer would be counted in the statistics of both economic regions. As such, the sum of the rows within these ‘Unique Employer’ tables will not add up to the aggregate total.

Graph and download economic data for Software Development Job Postings on Indeed in the United States (IHLIDXUSTPSOFTDEVE) from 2020-02-01 to 2025-03-21 about software, jobs, and USA.

According to Cognitive Market Research, the global Gig Economy market size will be USD 561245.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 17.20% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 224498.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 168373.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.7% from 2024 to 2031.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 129086.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.2% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 28062.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 11224.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.9% from 2024 to 2031.
The transportation-based services category is the fastest growing segment of the Gig Economy industry

Market Dynamics of Gig Economy Market

Key Drivers for Gig Economy Market

Rising Demand for Mobile Platforms and Technology to Boost Market Growth

Gig workers and consumers may communicate easily due to technology and mobile platforms, which are essential to the gig economy's expansion. Due to the proliferation of smartphones and powerful mobile applications, finding a job has become easier, and people can now do so from anywhere at any time. Platforms like Uber, Lyft, Upwork, and DoorDash use algorithms to swiftly pair customers with service providers, improving efficiency and user experience. Additionally, real-time communication, safe payment methods, and customer reviews, all of which foster transparency and trust, are supported by advanced mobile technology. As smartphone usage increases around the world, these platforms provide accessibility to gig employment, broadening the gig economy's reach across various industries and propelling steady industry expansion.

Expansion of E-Commerce and Delivery Services to Drive Market Growth

The gig economy business is mostly driven by the explosive rise of e-commerce and delivery services, which generate a large demand for flexible, on-demand workers. Last-mile delivery is handled by gig workers for e-commerce sites like Amazon and other merchants, meeting customer expectations for quick, easy, and affordable services. Gig workers are also used by food delivery businesses like Uber Eats, DoorDash, and Grubhub to satisfy the growing demand for quick and flexible meal options. This expansion, which is driven by customer demands for same-day or next-day delivery, is opening up gig worker opportunities in delivery, storage, and logistics, establishing the gig economy as a vital component of the contemporary retail ecosystem.

Restraint Factor for the Gig Economy Market

Lack of Job Security and Benefits Will Limit Market Growth

The gig economy's lack of benefits and job security severely limits its market expansion because many workers see gig workers as less dependable financially than regular jobs. Essential benefits like health insurance, paid time off, retirement plans, and unemployment insurance are typically unavailable to gig workers. This may put off prospective participants looking for long-term financial stability. This lack of benefits makes gig employment less desirable for people who value stability because it puts them at risk financially, particularly during recessions or personal health problems. Furthermore, a high turnover rate may have an adverse effect on the dependability and quality of services provided by gig platforms, which may harm consumer trust and reduce the gig economy's appeal as a viable career option.

Impact of COVID-19 on the Gig Economy Market

The gig economy was significantly impacted by COVID-19, which changed demand in a number of industries. Initially, lockdowns caused a spike in the need for gig workers in the restaurant and package delivery industries as e-commerce became indispensable. But there was a sharp fall in industries like ridesha...

In 2024, the employment-to-population ratio worldwide was estimated to be approximately 58 percent, indicating that nearly 60 percent of the global population above 15 years was employed. Among the provided regions, Africa had the highest employment-to-population ratio, at 60 percent, with Europe and Central Asia having the lowest at 55 percent. Global income growth As greater portions of the population hold stable employment over time, income has also grown globally. From 1970 until today, North America has seen the largest increase in net national incomes per capita, but this increase has occurred in other regions as well. In terms of real wages, while they have grown over time, they have experienced a slight decrease in light of the high global inflation rates. Decrease in child labor Even though greater proportions of the population are employed, child labor has decreased over time. In 2000, there were 245 million children working, which has decreased to 160 million by 2020. The majority of working children are in the agricultural sector, especially younger children within the 5-11 and 12-14 age groups.

Employment Rate in Germany increased to 77.80 percent in the fourth quarter of 2024 from 77.40 percent in the third quarter of 2024. This dataset provides - Germany Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains figures about the careers of starting self-employed persons in the Netherlands. This concerns all persons aged 15 or older who start as a self-employed person within a year. The data can be broken down by gender, type of self-employed person (in the starting year), the labor market position after respectively 1, 2, 3, 4 or 5 years (reference year), the sector (SBI 2008) in which one starts and the personal characteristics age, migration background and position in the household. Data available from 2008 to 2016. Status of the figures: The figures in this table are final. Changes as of January 14, 2022: None, this table has been discontinued. When will new numbers come out? Not applicable anymore. This table is followed by the table Starting self-employed persons; career. The figures in this new table are more in line with other labor market figures on the self-employed. See section 3.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within New Market. The dataset can be utilized to gain insights into gender-based income distribution within the New Market population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within New Market, among individuals aged 15 years and older with income, there were 545 men and 435 women in the workforce. Among them, 367 men were engaged in full-time, year-round employment, while 246 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.36% fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 71.93% of men in full-time roles earned incomes exceeding $100,000, while 46.34% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Market median household income by race. You can refer the same here