https://market.biz/privacy-policyhttps://market.biz/privacy-policy
Introduction
Career Change and Reskilling Statistics: Understanding that technological advancement and industry demands are shifting rapidly, career transitions and reskilling are now identified as one of the co-develops for professional development. The AI sector is projected to employ 2.3 million people in India by 2027, with projected talent pool levels increasing only to 1.2 million. It certainly makes sense to reskill over 1 million workers.
The key understanding here is that the individual will own any new skills that they need to stay current in a vast and ever-evolving job market world. 55% of workers feel pressured to upskill within the next five years, with only a 31% global average. This active push is important in conjunction to the understanding of skill based hiring, that organisations will increasingly move to wanting a notion of skills versus just degree qualifications.
In the world of AI and sustainability jobs, it is often the specific jobs and competencies required that transcend formal qualifications. In light of all this, we need to pledge to lifetime learning and successfully navigate through future career transition and reskills.
The statistic shows the proportion of employees in China with a desire for a career change in the next five years, by sector. In 2011, ** percent of those employed in the commercial services sector had the desire for a career change in the next five years.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for EMPLOYMENT CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Between July and August 2025, around ****** people gained employment in the state of Texas, the highest monthly change of any state in the United States. Pennsylvania was the second-highest, gaining ****** new jobs in the same period.
Approximately 2.3 percent of people employed in the United Kingdom moved from one job to another in the second quarter of 2025, compared with 2.2 percent in the previous quarter.
This dataset represents the CHANGE in the number of jobs per industry category and sub-category from the previous month, not the raw counts of actual jobs. The data behind these monthly change values is from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment in European Union increased by 0.10 in June of 2025. This dataset provides - European Union Employment Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.
According to a survey conducted among employed women in Southeast Asia in December 2022 and January 2023, ** percent of the respondents stated that they intended to make a career switch in the next five years. In contrast, ** percent of the respondents had no intentions to switch careers within that time period.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Employment: NF: Over-the-Month Change: Revision: 3rd-1st data was reported at -42.000 Person th in Feb 2025. This records a decrease from the previous number of 24.000 Person th for Jan 2025. United States Employment: NF: Over-the-Month Change: Revision: 3rd-1st data is updated monthly, averaging 8.000 Person th from Jan 1979 (Median) to Feb 2025, with 552 observations. The data reached an all-time high of 839.000 Person th in Mar 1996 and a record low of -752.000 Person th in Mar 2020. United States Employment: NF: Over-the-Month Change: Revision: 3rd-1st data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment in Germany decreased by 0 in June of 2025. This dataset provides - Germany Employment Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Private businesses in the United States fired -32 thousand workers in September of 2025 compared to -3 thousand in August of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
The 'Employment Change' in the UK measures the net change in the number of employed people within a specified period, usually reported quarterly.
The 'Employment Change' in Canada is a monthly economic indicator that measures the net change in the number of employed people in the country.
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.
In 2033, the number of employees working in healthcare support occupations is projected to increase by 15.2 percent from the number in 2023. Office and administrative support employment, however, is projected to decline 3.5 percent.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: Employment: % Change data was reported at 1.534 % in Jun 2018. This records a decrease from the previous number of 1.623 % for Mar 2018. United States US: Employment: % Change data is updated quarterly, averaging 1.646 % from Mar 1949 (Median) to Jun 2018, with 278 observations. The data reached an all-time high of 5.110 % in Jun 1984 and a record low of -4.081 % in Sep 2009. United States US: Employment: % Change data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.IFS: Labour Force, Employment and Unemployment: Quarterly.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment: NF: sa: Over-the-Month Change: 2nd data was reported at 185.000 Person th in Mar 2025. This records an increase from the previous number of 117.000 Person th for Feb 2025. Employment: NF: sa: Over-the-Month Change: 2nd data is updated monthly, averaging 167.000 Person th from Jan 1979 (Median) to Mar 2025, with 555 observations. The data reached an all-time high of 4,791.000 Person th in Jun 2020 and a record low of -20,687.000 Person th in Apr 2020. Employment: NF: sa: Over-the-Month Change: 2nd data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
This report provides a summary of the responses from the service leaver follow-up questionnaires completed by UK service personnel who have used the Career Transition Partnership (CTP) resettlement services at four points in time: at the point they discharge from the armed forces; after six months, after 12 months, after 24 months. Each questionnaire covers a range of questions capturing service personnel’s experiences with the CTP services as well as their experiences in the job market. These statistics provide summary information on a selection of the answers provided to the questionnaires; this report is not a comprehensive summary of all responses to questions asked.
The 4 follow-up questionnaires were received over the period 1 September 2012 to 31 August 2013. Each questionnaire was sent to a different population based on the date that they left the armed forces. Comparisons over time should therefore be drawn cautiously. When interpreting these statistics, it is important to note that they may not be representative of all service leavers:
77% of personnel who left the armed forces in 2011/12 were eligible to use the CTP services. Of these, 88% went on to register with the CTP services and 76% went on to use the CTP services. Only service leavers who used the CTP services had the opportunity to complete the follow-up questionnaires
Around one-in-four personnel who were surveyed went on to respond to the questionnaire. Of these, around 90% of people responded to each question (see page 7 and 8 for details).
Therefore, these results are representative of approximately one-in-eight of all service leavers. Conclusions should be drawn cautiously since this sub-group may not be representative of all personnel leaving the armed forces.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) to show change in job characteristics over time, including total number of jobs, worker age, sectors and earnings, from 2010-2017, by Neighborhood Statistical Areas E02 and E06 boundary in the Atlanta region.The manifest of the data is available here.
https://data.aussda.at/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.11587/VN9N1Whttps://data.aussda.at/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.11587/VN9N1W
It is generally well known that great changes are taking place in professional life. Once, it had been the rule that a person carried on the profession they had learned until their retirement. Today labour force has become scarce and only a flexible employment market ensure the optimal employment of the available workforce. However, this flexibility in professional life also demands a lot from the employed persons; qualified education and continuing education have become essential prerequisites for professional success.
https://market.biz/privacy-policyhttps://market.biz/privacy-policy
Introduction
Career Change and Reskilling Statistics: Understanding that technological advancement and industry demands are shifting rapidly, career transitions and reskilling are now identified as one of the co-develops for professional development. The AI sector is projected to employ 2.3 million people in India by 2027, with projected talent pool levels increasing only to 1.2 million. It certainly makes sense to reskill over 1 million workers.
The key understanding here is that the individual will own any new skills that they need to stay current in a vast and ever-evolving job market world. 55% of workers feel pressured to upskill within the next five years, with only a 31% global average. This active push is important in conjunction to the understanding of skill based hiring, that organisations will increasingly move to wanting a notion of skills versus just degree qualifications.
In the world of AI and sustainability jobs, it is often the specific jobs and competencies required that transcend formal qualifications. In light of all this, we need to pledge to lifetime learning and successfully navigate through future career transition and reskills.