This layer shows figures of quit rates and quit levels by the US, BLS regions, and states. Data is from the Bureau of Labor Statistics (BLS) and was released October and November of 2021. The layer default symbology highlights to September 2021 quit rate in comparison to the national figure of 3.0%.According to the October 2021 News Release by BLS:"The number of quits increased in August to 4.3 million (+242,000). The quits rate increased to a series high of 2.9 percent. Quits increased in accommodation and food services (+157,000); wholesale trade (+26,000); and state and local government education (+25,000). Quits decreased in real estate and rental and leasing (-23,000). The number of quits increased in the South and Midwest regions."In the following November News Release:"In September, quits rates increased in 15 states and decreased in 10 states. The largest increases in quits rates occurred in Hawaii (+3.8 percentage points), Montana (+1.5 points), as well as Nevada and New Hampshire (+1.1 points each). The largest decreases in quits rates occurred in Kentucky (-1.1 percentage points), Iowa (-1.0 point), and South Dakota (-0.7 point). Over the month, the national quits rate increased (+0.1 percentage point)."Quit rates: The quits rate is the number of quits during the entire month as a percent of total employment.Quit levels: Quits are the number of quits during the entire month.State and US figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedRegion figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedThis data was obtained in October and November 2021, and the months of data from BLS are as follows:August 2020September 2020April 2021 (only offered for Regions)May 2021June 2021July 2021August 2021September 2021 (preliminary values)For the full data release, click here.The states (including the District of Columbia) that comprise the regions are: Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and VermontSouth: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West VirginiaMidwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and WisconsinWest: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

This statistic shows the turnover of hotels and similar accommodation in selected European countries in 2020. As of 2020, hotel and hotel-like accommodation services generated a total revenue of nearly 19.92 billion euros in Germany and 79.8 billion euros in the European Union.

In 2022, internet and e-commerce industry had the highest attrition rate among the technology sector of around 28 percent. Compensation and benefits were the primary reason for attrition in the technology services sector, followed by role and career path.

In 2024, the average staff turnover rate of hospitals in the U.S. stood at **** percent. The percentage of employees leaving hospitals has decreased since the peak of ** percent in 2021. A closer look at turnover reveals that most was among less tenured staff, with the highest rates among certified nursing assistants.

France - Turnover in services was 17.50 % year-on-year in March of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Turnover in services - last updated from the EUROSTAT on June of 2025. Historically, France - Turnover in services reached a record high of 24.20 % year-on-year in June of 2021 and a record low of -19.10 % year-on-year in June of 2020.

Graph and download economic data for Quits: Total Nonfarm (JTSQUR) from Dec 2000 to May 2025 about quits, nonfarm, and USA.

Nearly **** of *** businesses spread across various industries in South Africa reported a turnover that was lower than their normal range in April 2020. This according to a survey conducted on the economic impact of the coronavirus in South Africa. Results varied per industry. **** percent of businesses within the mining and quarrying industry, for example, said they saw they turnover decline, whereas companies active in real estate and other business services were more likely to report a turnover that was within the normal range.

Bulgaria - Turnover in services was -3.90 % year-on-year in September of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Bulgaria - Turnover in services - last updated from the EUROSTAT on July of 2025. Historically, Bulgaria - Turnover in services reached a record high of 32.30 % year-on-year in December of 2021 and a record low of -10.00 % year-on-year in June of 2020.

In recent years, the temporary employment sector in Germany has played a crucial role in the integration of refugees and foreign workers. These contributions underline its importance for the German labour market. Since 2023, however, the deteriorating economic situation has put considerable pressure on the industry. The economic slowdown led to a noticeable decline in industrial orders, which also reduced the demand for temporary workers. Between 2020 and 2025, industry turnover fell by an average of 0.5% per year. It is expected to fall by 1.9% to 28.4 billion euros in 2025. Profitability in the temporary staffing industry varies considerably depending on the business model. Companies such as Hays, which place specialised professionals such as engineers and IT experts, achieve higher profit margins as these professionals are in high demand and can achieve high hourly rates. The industry is currently facing the challenge of numerous companies having to cut staff in order to save costs. These job cuts are curbing demand for temporary staff and increasing the need for the industry to fundamentally rethink its business models. Even if the reformed Immigration Act could theoretically open up new prospects by facilitating access to international skilled labour, the actual benefit of these measures remains questionable given the general economic situation. In addition, although investments in digital solutions and process optimisation are urgently needed, they place a financial burden on companies and are associated with considerable uncertainty.The industry will face major challenges in the future, while the general economic outlook remains uncertain. Although the ongoing shortage of skilled labour could potentially offer opportunities, economic conditions are currently not ideal for expansion. An average annual decline in turnover of 0.2% is therefore expected over the next five years, meaning that industry turnover in 2030 is likely to amount to 28.2 billion euros. It is uncertain whether the measures taken to date, such as increased international recruitment and improved qualification programmes, will be sufficient to overcome the structural challenges. However, given these uncertainties, the temporary staffing industry should be able to maintain its position as a key provider of flexible labour solutions in Germany by adapting to new market conditions and developing innovative strategies.

The United States' Bureau of Labor Statistics accounted for ***** million people working in the hospitality and leisure industry in the U.S. as of December 2023. This figure shows an increase over the previous year. Employment in the U.S. hospitality and leisure industry showed consistent growth since 2009, however, this changed in 2020 where there was a sharp decline due to the coronavirus (COVID-19) pandemic.

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

This table contains figures on the production and turnover development of the industry. The figures can be broken down by sector according to the CBS Standard Business Classification (SBI 2008). The development is presented as a percentage change compared to a previous period and by means of indices with 2015 as the base year. The production and turnover development are published in two forms. First of all, as year-on-year developments in which growth compared to the same period in the previous year is central. These figures are presented unadjusted and adjusted for working days. The second form concerns period-on-period developments, for example month-on-month. Period-on-period developments are possible by applying seasonal adjustment. Data available from: January 2005 Status of the figures: The figures for a calendar year become definitive no later than five months after the end of that calendar year. Due to delayed response, the figures can still change until then and the status of “provisional” is maintained. The turnover and production figures for the year 2022 are currently final. After publication of the final results, Statistics Netherlands only adjusts the results if major adjustments and/or corrections are necessary. Changes as of August 10, 2023: Industry figures for the month of June 2023 have been added and the figures from March to May have been adjusted. Changes as of 9 June 2023: Industry figures for the month of April 2023 have been added and the figures from January 2022 to March 2023 have been adjusted. The annual seasonal adjustment model update also took place this month. All figures for 2022 have been adjusted for the last time and set to status ''definitive''. Changes as of 10 June 2021: Industry figures for the month of April 2021 have been added and the figures from January 2020 to March 2021 have been adjusted. The annual seasonal adjustment model update also took place this month. Due to the extra adjustments made due to the corona virus, the adjustments are slightly larger than in previous years. All figures for 2020 have been adjusted for the last time and set to status ''definitive''. The underlying codes of the classifications used in this table have been adjusted: - Cont. non-durable consumer goods - Cont. of durable consumer goods - Manufacture of consumer goods - Manufacture of intermediate goods - Manufacture of investment goods These now correspond to the standard coding established by Statistics Netherlands. The structure and data of the table have not been modified. When will new numbers come out? As a rule, Statistics Netherlands publishes monthly statistics six to eight weeks after the end of the reporting quarter. Statistics Netherlands publishes quarterly statistics on the last working day of the second month after the quarter.

Industrial and service producer price indices, industrial production, industrial new orders, industrial turnover, service turnover and retail sales data are published by the European Commission (Eurostat). Euro area results are obtained by aggregating data for individual countries compiled by national statistical authorities. They are broken down following the classification of economic activities in the EU (NACE) and by the Main Industrial Groupings (MIGS) derived from it. Industrial producer prices reflect the ex-factory-gate prices (transportation costs are not included) of all products sold by industry excluding construction on the domestic markets of the euro area countries, excluding imports. They include indirect taxes except VAT and other deductible taxes. Service producer price indices and c onstruction output price indices follow the same concept, reflecting the development of the prices finally received by the service providers and construction companies. Industrial production reflects the volume growth of value added of the industries concerned. Industrial new orders measure the orders received during the reference period and cover industries working mainly on the basis of orders – in particular textile, pulp and paper, chemical, metal, capital goods and durable consumer goods industries. The data are calculated on the basis of current prices. The legal obligation for the EU members to compile such indices ceased in 2012. Since then, the ECB had published an estimate for euro area new orders, based on actual data for new orders for a limited set of countries still producing these indicators, survey data and turnover data. With an ever declining number of countries providing new orders data, leaving only three of them in mid-2021, the ECB stopped producing the estimate with publication of September 2021 data. Indices for turnover in industry, services and for the retail trade measure the turnover, including all duties and taxes with the exception of VAT, invoiced during the reference period. Retail trade turnover covers all retail trade excluding sales of motor vehicles and motorcycles, and except repairs. Unemployment rates published by the European Commission (Eurostat) and conform to International Labour Organisation (ILO) guidelines. They refer to persons actively seeking work as a share of the labour force, using harmonised criteria and definitions. Please note that since December 2020 the dataset is published under the Labour Force Survey Indicators (LFSI) naming convention. Please refer to the mapping between discontinued STS series and the LFSI codes for more information. The labour cost indices are published by the European Commission (Eurostat) and national statistical authorities and measure the changes in labour costs per hour worked in industry (including construction) and market services. A breakdown of hourly labour costs for the euro area is available by labour cost component (wages and salaries, other labour costs) and by economic activity (NACE sections). The new passenger cars data for euro area are seasonally and working day adjusted by the ECB based on data compiled by ACEA (the European Automobile Manufacturers Association). New passenger car registrations cover registrations of both private and commercial passenger cars.

Robotic Warehouse Tote Swarm Market Outlook

Based on our latest research, the global robotic warehouse tote swarm market size reached USD 2.14 billion in 2024, driven by the rapid adoption of automation in supply chain and warehouse operations. The market has been expanding at a robust pace, with a recorded CAGR of 19.7% from 2020 to 2024. Looking ahead, the market is projected to reach USD 10.98 billion by 2033, as calculated by the prevailing CAGR. This impressive growth is primarily fueled by the escalating demand for efficient order fulfillment, labor cost reduction, and scalable logistics operations across diverse industry verticals, according to our latest research findings.

The growth trajectory of the robotic warehouse tote swarm market is strongly influenced by the increasing need for operational efficiency and accuracy in warehouse management. As e-commerce giants and retail enterprises face mounting pressure to deliver faster and error-free order fulfillment, the implementation of swarm robotics for tote handling has become a strategic necessity. These intelligent robotic swarms enhance throughput by autonomously coordinating the movement of totes, minimizing human intervention, and optimizing space utilization. Furthermore, the integration of advanced AI algorithms and real-time data analytics enables seamless adaptation to fluctuating demand and inventory levels, which is vital in today’s dynamic market environment. The ability of robotic tote swarms to scale operations quickly and efficiently is becoming a significant competitive advantage for businesses looking to strengthen their supply chain resilience.

Another critical growth factor is the rising labor shortages and increasing wage costs in key logistics hubs around the world. Warehousing and logistics industries have been grappling with high employee turnover rates and challenges in recruiting skilled labor, particularly for repetitive and physically demanding tasks. Robotic warehouse tote swarm systems address these challenges by automating material handling processes, reducing dependency on manual labor, and ensuring consistent productivity levels. Moreover, these systems contribute to enhanced workplace safety by reducing the risk of injuries associated with manual lifting and repetitive movements. As companies seek to mitigate labor-related risks and comply with stringent safety regulations, the adoption of robotic tote swarms is expected to accelerate further.

Technological advancements in robotics, artificial intelligence, and sensor technologies are also propelling the market forward. The emergence of more affordable and adaptable robotic platforms has lowered the entry barriers for small and medium enterprises, enabling them to leverage automation for tote management. Additionally, the growing interoperability of robotic systems with existing warehouse management software (WMS) and enterprise resource planning (ERP) systems is streamlining deployment processes and maximizing return on investment. With continuous innovation in swarm intelligence, path planning, and machine learning, robotic warehouse tote swarms are becoming increasingly sophisticated, capable of handling complex tasks such as dynamic route optimization, real-time obstacle avoidance, and predictive maintenance. These technological developments are expected to further drive market growth in the coming years.

Regionally, the Asia Pacific region is emerging as a pivotal market for robotic warehouse tote swarms, fueled by the rapid expansion of e-commerce and manufacturing sectors in countries such as China, Japan, and India. North America continues to lead in terms of technology adoption and market share, supported by the presence of major robotics vendors and a strong focus on supply chain digitization. Europe is witnessing steady growth, particularly in the retail and automotive sectors, as companies invest in automation to enhance competitiveness and sustainability. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, with increased investments in logistics infrastructure and automation solutions. The regional outlook for the robotic warehouse tote swarm market remains highly positive, with significant growth opportunities across both developed and emerging economies.

The number of employees in the beer manufacturing industry in Hungary saw no significant changes in 2021 in comparison to the previous year 2020 and remained at around 1869 employees. Still, 2021 marked the second consecutive decline of the number of employees in this industry. The relationship of employer to employee exists when there is an agreement, which may be formal or informal, between an enterprise and a person, normally entered into voluntarily by both parties, whereby the person works for the enterprise in return for remuneration in cash or in kind.Find more statistics on the beer manufacturing industry in Hungary with key insights such as number of enterprises, turnover, production value, and personnel costs.

The turnover of the total business economy, repair of computers, personal and household goods, except financial and insurance activities in Italy decreased by 343.8 billion euros (-11.25 percent) in 2020 in comparison to the previous year. Therefore, 2020 marks the lowest turnover in this industry during the observed period. Turnover is defined by Eurostat as the total of all sales (excluding VAT) of goods and services carried out by the enterprises of a given sector during the reference period.Find more statistics on the total business economy, repair of computers, personal and household goods, except financial and insurance activities in Italy with key insights such as number of enterprises, production value, and personnel costs.

The turnover of the total business economy, repair of computers, personal and household goods, except financial and insurance activities in Sweden decreased to 837.1 billion euros since the previous year. Nevertheless, the last two years in this industry recorded a significant higher turnover than the preceding years.Turnover is defined by Eurostat as the total of all sales (excluding VAT) of goods and services carried out by the enterprises of a given sector during the reference period.Find more key insights for the turnover in countries like Denmark, Finland, and Norway.