According to a survey conducted in January 2020 among business enterprises in Japan, approximately ** percent of companies experiencing a severe labor shortage of full-time employees stated that they planned bonus payments in order to attract and keep employees. Companies that experienced a severe labor shortage were more likely to consider bonus payments than less affected companies.
According to a survey conducted in January 2020 among business enterprises in Japan, almost ** percent of companies experiencing a severe labor shortage of full-time employees stated that they planned to increase base salaries in order to attract and keep employees. Companies that experienced a severe labor shortage were more likely to raise salaries than less affected companies.
In 2019, a Statista study on labor shortages showed that in 2020, ** percent of the global workforce were working in medium-skilled occupations (vocational training), with this share increasing to ** percent by 2030.
In 2019, a Statista study on labor shortages showed that in 2020, ** percent of the North American workforce were working in medium-skilled occupations, with this share decreasing to ** percent by 2030.
According to the report from the German Institute of Economics, from 2020 to 2040 there will be a decrease in the number of available workers. In 2020, there were **** million people professionally qualified to work, but by 2040, this figure is predicted to decline to **** million. These projections are based on high immigration figures.
In 2019, a Statista study on labor shortages showed that in 2020, ** percent of the North American workforce were working in low-skilled occupations, with this share decreasing to ** percent by 2030.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
• The District of Workforce Shortage (DWS) classification system for Specialists is an impartial mechanism used by the Government to encourage a more equitable distribution of specialists doctors who are restricted under s19AB (ten-year moratorium) and for Australian trained bonded doctors (who have a return of service obligation). • The DWS system as applied to specialists refers to the broadest grouping of a specialty and includes all sub-categories of that specialty (i.e. identifies the Derived Major Specialty). • The DWS uses population and Medicare billing data to determine a specialist-to-population ratio in SA3 geographical regions of Australia. • Any specialty group that has a ratio of less than 3 Full-time Service Equivalent (FSE) per 100,000 population is currently considered to be in acute shortage and is automatically classified as DWS. • Any specialty group that has a ratio greater than 3 FSE per 100,000 population is not automatically classified as DWS. There are eight specialties in this category: o Anaesthetics o Cardiology o Diagnostic Radiology o General Surgery o Medical Oncology o Obstetrics and Gynaecology o Ophthalmology o Psychiatry The Distribution Priority Area (DPA) replaced Districts of Workforce Shortage system for GPs
In Q4 2023, the index for the demand for skilled workers in the field of human resources in Germany was at *** points. This was the lowest figure since 2021. Following COVID-19 in the first quarter of 2020, the shortage in skilled labor rose drastically until the first quarter of 2022 and started to decline in the second quarter. Still, while the skilled worker index is above the pre-pandemic level, there is a significant lack of skilled labor in all specializations shown here.
As part of an ESRC funded PhD, this data consists of 21 out of 30 total interviews with 'older workers' (over 35) who work in the fields of 'Video' (film, TV, YouTube), 'Games' (computer games), and 'websites' (front and back end, content creation and UI/accessibility). The overarching research goal was to understand how, in the face of many challenges (related to training, accessing work, precarity, and long hours), which are compounded by life course events, people manage to sustain their creative careers. Interview questions were informed by a review of creative industries literature which paints a picture of challenging working conditions (e.g., precarity, long hours) which are also sites of 'inequality regimes' (Acker, 2006), meaning the industries studied are designed by and for white, middle-class men. The data reveals interesting detail about the three fields of study, making it useful as a snapshot of the creative industries in the early 2020s. It is also filled with references to the Covid-19 pandemic lock downs, as this is when the interviews took place. There is rich detail of 'inequality regimes' - particularly with reference to social class, gender, and age. The other 9 interviews are not included as participants did not give permission for them to be deposited with the UK Data Service.Attaining and sustaining a career in the digital and creative industries is hard. Training that is often expensive and difficult to navigate, informal hiring practices, precarious employment, and long, intense, and inflexible hours, all come together to limit access and progression for many people. Moreover, as these conditions interact with people’s changing priorities and needs over the life course, the ability to sustain work is often not possible, reflected in the high rates of worker attrition (Carey et al., 2020; Steele, 2022). With a critical labour shortage in these industries, tackling the loss of older workers by addressing the challenges of digital and creative work is important. While there is much recent literature which speaks to the challenges (for example Brook, O’Brien and Taylor, 2020; Wallis, van Raalte and Allegrini, 2020), less is said about those people who have managed to sustain their careers in the face of these challenges, whose circumstances present examples of the conditions which are needed in order not to be ‘filtered out’. This thesis addresses this gap, exploring the strategies that older workers in the fields of Video, Games, and Websites have been able to use in order to sustain their careers. Semi-structured online interviews using video conferencing. Participants were purposefully sampled to be from a range of roles in the fields of video (film, TV, YouTube), games (computer games), and websites (front and back end, content creators, UI/accessibility). Networks were used to gain first interviews, as well as social media callouts. These initial interviews led to others through snowball sampling. At the later stages of recruitment, those from demographics that were not represented were sought so that there was a good balance of genders, class backgrounds, and ethnicities (without the limitations of the population studied).
Nearly **** years after the COVID-19 pandemic, some branches of the U.S. healthcare industry are still overcoming the loss of staff. While the industry overall has mostly regained the employees lost during the pandemic, this was not so for long-term care (LTC) facilities such as nursing homes and assisted living communities. As of February 2024, these sectors still had less staff compared to February 2020.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Turkey IG: Limiting Production Factors: Shortage of Labour Force data was reported at 7.857 % Point in Apr 2020. This records a decrease from the previous number of 8.806 % Point for Jan 2020. Turkey IG: Limiting Production Factors: Shortage of Labour Force data is updated monthly, averaging 8.250 % Point from Jan 2007 (Median) to Apr 2020, with 54 observations. The data reached an all-time high of 11.900 % Point in Jan 2010 and a record low of 4.500 % Point in Jul 2016. Turkey IG: Limiting Production Factors: Shortage of Labour Force data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.S017: Business Tendency Survey: Investment Consumer Goods: Weighted: NACE Rev2.
https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
US Property Management Market size was valued at USD 24.8 Billion in 2024 and is projected to reach USD 42.1 Billion by 2032 growing at a CAGR of 6.8% from 2025 to 2032.
Key Challenges: Rising Property Maintenance Costs: According to the National Association of Realtors (NAR), the average annual maintenance cost of owning a house in the United States has risen by 20% in the past five years. This increase in maintenance costs may prevent property owners from investing in property management services because they will incur greater maintenance charges.
Labor Shortages in Property Management: According to the Bureau of Labor Statistics, the number of property managers in the United States will fall by 16% between 2020 and 2023 due to labour shortages. Also, the shortage of skilled property management personnel stifles industry expansion and raises operational costs for property management firms.
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the global Anthropomorphic Robot market size will be USD XX million in 2025. It will expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2031.
North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Latin America had a market share of more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2031. Market Dynamics
Key Drivers
Humanoid robots are seeing increased market demand due to the growing imperative for automation.
The rising need for automation is indeed creating substantial market opportunities for anthropomorphic robots, often referred to as humanoid robots. This trend is driven by several converging factors that make human-like robots increasingly appealing and viable across various industries. Firstly, a significant driver is the growing labor shortage and rising labor costs in many developed and even developing economies. According to stats US labor shortage is reported at 70% as of April 2025. the US has seen a significant decline in labor force participation with approximately 1.7 million fewer workers in US workforce compared to February 2020 which thereby project the need of these robots Industries like manufacturing, logistics, healthcare, retail, and hospitality are struggling to find enough human workers for repetitive, physically demanding, or dangerous tasks. Anthropomorphic robots, designed to operate in human-centric environments and handle tools designed for humans, can directly fill these labor gaps. They don't require breaks, don't suffer from fatigue, and can work around the clock, significantly boosting productivity and efficiency. Companies like Tesla (Optimus), Agility Robotics, and Figure AI are actively developing and piloting humanoids for tasks within existing human-designed environments. For instance, Tesla claims Optimus can significantly enhance supply chain efficiency by streamlining workflows and enabling 24/7 operations, addressing labor shortages by allocating human roles to critical duties (MDPI). Secondly, advancements in Artificial Intelligence (AI) and Machine Learning (ML) are rapidly enhancing the capabilities of these robots. Modern humanoid robots are no longer just rigid, pre-programmed machines. With AI, they can learn from observation, respond to natural language commands, adapt to dynamic environments, and even make real-time decisions. This "general-purpose intelligence" allows them to perform a much wider range of complex tasks with human-like dexterity and adaptability, opening up applications that traditional, fixed automation couldn't address. For instance, companies like Tesla (Optimus), Agility Robotics (Digit), and Sanctuary AI (Phoenix) are developing robots capable of intricate tasks in factories and warehouses. Thirdly, the economic viability of anthropomorphic robots is rapidly improving. The unit cost of humanoid robots has significantly decreased in recent years (e.g., a 40% drop between 2022 and 2024 for some models), while human labor costs continue to rise. This narrowing cost gap makes the investment in humanoid robots increasingly attractive, promising a compelling return on investment within a few years for many use cases. This cost parity is poised to accelerate adoption across industries. Fourthly, the inherent design of anthropomorphic robots makes them highly versatile and adaptable to existing infrastructure. The world is built for humans, meaning factories, warehouses, hospitals, and homes are designed with human dimensions and movement in mind. Humanoid robots, with their bipedal mobility and dexterous manipulators, can navigate these "brownfield" settings without requiring extensive and costly retrofits...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Turkey ND: Limiting Production Factors: Shortage of Labour Force data was reported at 10.407 Point in Apr 2020. This records an increase from the previous number of 8.102 Point for Jan 2020. Turkey ND: Limiting Production Factors: Shortage of Labour Force data is updated monthly, averaging 8.400 Point from Jan 2007 (Median) to Apr 2020, with 54 observations. The data reached an all-time high of 10.800 Point in Jan 2016 and a record low of 6.200 Point in Jul 2008. Turkey ND: Limiting Production Factors: Shortage of Labour Force data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.S014: Business Tendency Survey: Non Durable Consumer Goods: Weighted: NACE Rev2.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Jun 2025 about job openings, vacancy, nonfarm, and USA.
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
This report shows monthly numbers of NHS Hospital and Community Health Service (HCHS) staff working in NHS Trusts and CCGs in England (excluding primary care staff). Data is available as headcount and full-time equivalents and are available every month for 30 September 2009 onwards. This data is an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings and monthly NHS Staff Sickness Absence reports and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. This publication features a supplementary file which shows trends in HCHS workforce data observed during the NHS response to the Covid-19 pandemic. Investigations are ongoing into making elements of this publication available ahead of the current schedule. At present it is approximately 12 weeks between the reporting month and the date of publication. Further details will be made available regarding publication outputs when investigations are complete. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This November, the price for fresh whole body turkeys surpassed November 2020 figures by 9%, while frozen whole body turkeys jumped 20% y-o-y. A short supply of workers led to lower turkey output and higher prices on the backdrop of consistently strong consumer demand. Turkey imports to the U.S. maintained the previous year’s levels. Canada and Chile remain the only turkey suppliers to America. Unprecedented inflation rates have struck the entire food sector, in October 2021, price increases for meats, poultry, fish and eggs became the highest recorded in the past 30 years.
In 2019, a Statista study on labor shortages showed that in 2020, ** percent of the North American workforce were working in occupations that required higher education, with this share increasing to ** percent by 2030.
Due to the coronavirus (COVID-19) pandemic, ports worldwide faced shortages of workers at various positions. Between week ** and week ** of 2020, the share of ports reporting shortages of dock workers decreased from ** percent to * percent. Port authorities and harbor master services had very low shortages as of July 15, 2020, showing that the return to normality has also begun in ports around the world.
https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
APAC Agricultural Tractor Machinery Market size was valued at USD 24.6 Billion in 2023 and is projected to reach USD 38.5 Billion by 2031, growing at a CAGR of 6.02% from 2024 to 2031.
Government Support and Agricultural Mechanization Initiatives: The Indian government's focus on farm mechanization has boosted tractor adoption, with Rs. 1,050 crore (USD 130 Million) set up for mechanization in 2022-23, a 45% increase over the previous year. The agriculture mechanization rate in India increasing from 40% in 2020 to 45% in 2022, indicating substantial expansion.
Agriculture Labor Shortage: Japan's agricultural labor shortage has intensified, with farmers reaching an average age of 68.2 in 2022. Agricultural laborers in Japan fell by 57.4% between 2000 and 2020, resulting in increasing use of agricultural technology, with tractor sales increasing at a 4.2% annual rate from 2018 to 2022.
According to a survey conducted in January 2020 among business enterprises in Japan, approximately ** percent of companies experiencing a severe labor shortage of full-time employees stated that they planned bonus payments in order to attract and keep employees. Companies that experienced a severe labor shortage were more likely to consider bonus payments than less affected companies.