Every ****** company in Poland offered additional work hours to pre-existing employees to tackle recruitment difficulties and employee shortages in 2025.

Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Sep 2025 about civilian, 16 years +, household survey, employment, and USA.

Survey on Homeless Persons: Homeless persons by employment situation, nationality and absolute value/percentage. National.

Numbers of jobs in an area by gender, and whether an employee or self-employed. This data shows the number of jobs, not the number of people. People with more than one job are counted more than once. Figures may not add up due to rounding. Figures are rounded to the nearest thousand. Percentages are rounded to one decimal place and were calculated on unrounded figures. Employees - An employee is anyone aged 16 years or over that an organisation directly pays from its payroll(s), in return for carrying out a full-time or part-time job or being on a training scheme. It excludes voluntary workers, self-employed and working owners who are not paid via PAYE People who are self-employed in a second job are included in the self-employed totals. Self-employment data is taken from the Annual Population Survey, and is by place of work. The micro data is available from the UK Data Archive. The male/female split for employee jobs was taken from the Annual Survey of Hours and Earnings data from NOMISweb.co.uk. These proportions were then applied to the BRES employee totals since the ASHE is a not a reliable source for total employee jobs. See more on the BRES website. Modelled estimates and projections of jobs are available in the GLA Employment Projections. These are considered to be the most accurate jobs estimates at borough level.

The metadata set does not comprise any description or summary. The information has not been provided.

The annual survey studied employee opinion on the quality of working life in Finland. Main themes were psychosocial working environment, job characteristics, pay systems, satisfaction with the job, employment security, training and development, capacity to work, and bullying and discrimination at work. The year 2004 survey contained more questions than previously on workplace characteristics, pay systems, willingness to give up work, bullying and violence. First, the respondents were asked how many years they had worked for the employer they were working for at the time, type of contract, number of persons at the workplace, what kind of changes there had been in staff numbers, working hours and contracts over the past 12 months, and whether people had been transferred to other units. Further questions covered team work, and whether there had been conflicts at the workplace, between what groups and whether the conflicts had decreased or increased over the past 12 months. Incidents of bullying and violence were charted. Next set of questions covered autonomy and influence at work, overtime and its compensation, and membership in a trade union or professional association. Changes over the past year in workload, physical or mental stress, in access to training, support from supervisors etc were charted as well as pay systems and satisfaction with the workplace. One topic pertained to whether the respondents had presented any ideas to improve working conditions, products, services or working methods at the workplace and whether there had been other development initiatives. Other questions covered workplace characteristics and the respondents' participation in job-related training and development. The respondents were asked how likely it was that they would be dismissed or laid off, or their tasks or working hours would be changed over the next year. Opinions were charted on employment situation in Finland and what kind of changes were happening in working life in, for instance, relating to management style, possibility to influence decisions, the financial situation of their organisation. A number of questions investigated how the employees' capacity to work and occupational health and safety had been taken into account at the workplace, the respondents' sickness absences, illnesses, and estimate of own mental and physical capacity to work. The respondents were asked whether they would be willing to give up work. Discrimination at work based on ethnic group, age, gender or contract type was explored. Background variables included the respondent's gender, age, type of municipality, major region (NUTS2), region (NUTS3), occupational group, status in employment, industry of employment, employer type, economic activity, weekly working hours, additional jobs, industry of additional job, and basic and vocational education. Most background variables were obtained from the Labour Force Survey 2004 telephone interviews.

Economically Active Population Survey: Average number of effective hours worked by all employed persons (irrespective of whether or not they have worked during the week) by. Annual. National.

Graph and download economic data for Total Employment by Professional Status: Employees for the European Union (LFESEETTEUQ647N) from Q2 2000 to Q4 2019 about EU, Europe, and employment.

On average, 50 percent of key workers have an employee status and 49 percent have a self-employed status. However, this divide differs greatly depending on the country income group. In low income and lower-middle income nations a majority of key workers belong to the self-employed category. In upper-middle income and high income nations, a majority of workers belong to the employee category. This divide can be explained by high rates of employment informality in low income and lower-middle income nations.

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the January CPS questionnaire on the topic of displaced workers, employee tenure, and occupational mobility in the United States. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. Data from the CPS are provided for the week prior to the administration of the survey. All persons eligible for the labor force items of the basic CPS were also eligible for the supplement. The supplement was designed to be a proxy response supplement, meaning a single respondent could provide answers for all eligible household members, provided the respondent was a household member 15 years of age or older. Persons 20 years of age and older, who lost or left a job in the last 3 years for selected reasons, were eligible for the first part of the supplement, which consists of the displaced workers items. Employed persons 15 years of age and older were eligible for the second part of the supplement, which consists of the employee tenure and occupational mobility items. Respondents were queried on involuntary job loss within the last three years based on operating decisions of a firm, plant, or business, reasons for job displacement, industry and occupation of the former job, group health insurance coverage, job tenure, and weekly earnings. Additional data refer to periods of unemployment as well as number of jobs held, use of unemployment benefits, whether residence was changed to seek work in another area, and current health insurance coverage. Although the main purpose of the survey was to collect information on an individual's employment situation, a very important secondary purpose was to collect information on demographic characteristics such as age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, family relationship, occupation, and income.

United States Private Employee: LIB: Workers in Service Producing Industries data was reported at 51.000 % in 2017. This stayed constant from the previous number of 51.000 % for 2016. United States Private Employee: LIB: Workers in Service Producing Industries data is updated yearly, averaging 52.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 54.000 % in 2010 and a record low of 44.000 % in 2003. United States Private Employee: LIB: Workers in Service Producing Industries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

Graph and download economic data for Total Employment by Professional Status: Employees for the Group of Seven (DISCONTINUED) (LFESEETTG7Q647S) from Q1 2003 to Q2 2017 about G7 and employment.

United States Private Employee: PHB: Establishments: 1-99 Workers data was reported at 70.000 % in 2017. This records an increase from the previous number of 69.000 % for 2016. United States Private Employee: PHB: Establishments: 1-99 Workers data is updated yearly, averaging 69.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 74.000 % in 2003 and a record low of 68.000 % in 2015. United States Private Employee: PHB: Establishments: 1-99 Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G076: Employee Benefits Survey: Private Industry.

The "Quality of employment" framework developed under the lead of UNECE (United Nations Economic Commission for Europe) represents a neutral and comprehensive approach to assess quality of employment in its multiple facets. It defines 68 indicators on seven dimensions that address employment quality from the perspective of the employed person. Its design also facilitates international comparison. For statistical institutes, researchers and policy users looking to build and analyse datasets using these indicators, the framework explained in a handbook published by UNECE. Using the UNECE framework, Eurostat has compiled data on employment quality for the EU countries that is provided in the Eurostat database.

LFS in one of the sources which provides data for filling some of the indicators. The section 'Quality of employment' reports annual results from the EU-LFS concerning some of those indicators.

In particular:

• Long working hours in main job: percentage of employed persons usually working 49 hours or more per week;
• Weekly working hours: Average number of usual weekly working hours of employed persons;
• Work on weekends: Percentage of employed persons usually working at Saturday or Sunday;
• Job tenure Percentage of employed persons by duration of employment with current employer by number of years;
• Temporary employment agency workers: Percentage of employed persons working for a temporary work agency;
• Precarious employment: Percentage of employees with a short-term contract of up to 3 months.

More information on Eurostat indicators about Quality of employment is available on the dedicated webpage.

General information on the EU-LFS can be found in the ESMS page for 'Employment and unemployment (LFS)', see link in related metadata. Detailed information on the main features, the legal basis, the methodology and the data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.

Statistiscs on Registered Health Professionals: Distribution of the number of Chiropodists, by Autonomous Cities and Communities of registration, employment situation and sex. Autonomous Community of registration.

The metadata set does not comprise any description or summary. The information has not been provided.

Statistiscs on Registered Health Professionals: Distribution of the number of Pharmacists, by Autonomous City and Community of registration, employment situation and sex. Autonomous Community of registration.

This table contains information on the personal wellbeing of the Dutch population aged 20 years and older, from private households, in terms of happiness and satisfaction with life. These subjects are broken down by various life events, that is changes in marital status (single, widowed, divorced, married/partnership) and employment situation (disability, unemployment or social security benefit, employed and retired). The share of the population who are happy and satisfied is presented for the total population and broken down by age and gender. In addition, these figures are available for different moments before and after the life event. In this way, experienced wellbeing before or after a change in marital status or employment situation can be examined, Data available from 1998 to 2009; displayed figures are average numbers over these years. Status of the figures: The figures in this table are definite. Changes per February 1st 2019: None, this table is final. When will new figures be published? Not applicable.

Hearing difficulties, by sex and employment situation. Population aged 16 years old and over. National.

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State House Districts for New Mexico as posted on the Census Bureau website for 2006.