Graph and download economic data for Labor Force Participation Rate - 55 Yrs. & over (LNS11324230) from Jan 1948 to Jul 2025 about 55 years +, participation, civilian, labor force, labor, household survey, rate, and USA.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. 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 2024, the employment rate of the workforce of 55 years and older decreased to 37.3 percent. Employment rate among young adults (age 16-24) was at 50.9 percent in 2024. For monthly updates on employment in the United States visit the annual national employment rate here.

Graph and download economic data for Labor Force Participation Rate - Men (LNS11300001) from Jan 1948 to Jul 2025 about males, participation, labor force, 16 years +, labor, household survey, rate, and USA.

As of the second quarter of 2025, the employment rate in the United Kingdom was highest among 35 to 49-year-old's, with **** percent of that age group employed. In the same quarter, approximately **** percent of over 65s were employed, a peak for this provided time period, while the employment rate for 16 to 24s was **** percent, one of the lowest rates for this age group.

In 2022, around 1.7 million persons between the ages of 20 and 24 years old were employed in Canada. A further 2.3 million people between the ages of 30 and 34 years old were employed nationwide in that year.

Graph and download economic data for Labor Force Participation Rate - 25-54 Yrs. (LNU01300060) from Jan 1948 to Jul 2025 about 25 to 54 years, participation, civilian, labor force, labor, household survey, rate, and USA.

Labor Force Participation Rate in Canada decreased to 65.20 percent in July from 65.40 percent in June of 2025. This dataset provides the latest reported value for - Canada Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States (LFWA64TTUSM647S) from Jan 1977 to Jul 2025 about working-age, 15 to 64 years, population, and USA.

According to the 2021 Census, 62.9% (37.5 million) of the overall population of England and Wales was of ‘working age’ (between 16 and 64 years old).

The age at which young people in the UK enter the workforce is increasing. While nearly half of all 16 and 17 year olds were in full-time employment in 1998, just over *********** of those aged 16 or ** were in full-time employment as of 2018. Similarly, those aged 18 to 24 are now slightly more likely to be out of the workforce, as part of a trend which sees more young people completing upper secondary or tertiary education, with the source also stating that the average age at which young Brits leave education has risen from **** years in 1998 to **** years in 2018.

For people older than **, there has been an increase in the employment rate across the board. This, however, is most notable in those aged 50 or older, with the employment rate for the group aged 50 to 64 years increasing from ****% in 1998 to ****% in 2018. Additionally, the share of those aged 65 or over in full-time employment has more than doubled over the course of two decades.

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

(StatCan Product) Participation and unemployment rates and student population counts for Canada and provinces by selected age groups (annual averages in %). Customization details: This information product has been customized to present information onparticipation rates, unemployment rates and student population counts for Canada and provinces by selected age groups (annual averages in percentage). Participation and unemployment rates age groups presented are: - 18 to 24 years - 18 to 34 years - 15 years and over The variables presented for the student population are (18 to 34 years – 8 month averages): - Student and non-student - Number attending college - Number attending university - Others - Total attending PS - % Total attending PS Labour Force Survey The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. Target population The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately. Instrument design The current LFS questionnaire was introduced in 1997. At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories. Sampling This is a sample survey with a cross-sectional design. Data sources Responding to this survey is mandatory. Data are collected directly from survey respondents. Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent. Error detection The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940). Estimation The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper ""Improvements to the Labour Force Survey (LFS)"", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication. Data accuracy Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviews are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the size of the estimate and the geographic area.

In 2023, over 13.7 million people aged between 25 and 34 were employed in Mexico, the most numerous employed age group in that period. This represented approximately 23.4 percent of the total. By contrast, workers aged 65 years or more made up for 5.7 percent of the labour force. That year, the adult employment rate in this country was below the average of the OECD bloc.

Graph and download economic data for Employment-Population Ratio - 25-54 Yrs. (LNS12300060) from Jan 1948 to Jul 2025 about 25 to 64 years, employment-population ratio, population, employment, and USA.

Employment, unemployment and economic inactivity levels and rates by age group, UK, rolling three-monthly figures, seasonally adjusted. Labour Force Survey. These are official statistics in development.

In Sweden, people between 35 and 54 years of age had the highest employment rate in 2023. 89 percent of the population in this age group was employed. The oldest age group, between 65 and 74, had the lowest employment rate at only 20 percent, followed by the youngest at 45 percent. The employment rate in Sweden increased steadily since the lowest point in 2010, but fell in 2020 after the outbreak of COVID-19. Higher employment rate among men The employment rate for men and women in Sweden basically follows the same pattern as the general employment rate. The difference, however, is that the employment rate among men was constantly higher than it was among women. In 2023, men’s employment was nearly 72 percent, whereas it was five percentage points lower for women.  Types of employment The majority of the people employed in Sweden are permanent employees, amounting to roughly 3.9 million in 2022. The private sector was by far the sector that employed the most people in the Scandinavian country.

In 2024, around **** percent of the population aged 25 to 34 years in Japan were employed. The employment rate of people aged 65 and older increased to **** percent.

This table contains data on the number and proportion of persons in the employed labor force who have participated in at least one work-related course and the number of persons in the employed labor force who have not participated in work-related courses. Of the share of the employed labor force taking a work-related course, the number and share of at least one work-related course that is (partly) paid for by the employer is also presented. The population studied is the Dutch population aged 25 to 65 years. In 2017, figures from the regular, periodically recurring Adult Education Survey (AES) will be published for the second time. The frequency is once every five to six years (see 4. Sources and methods). Because there are design effects (of unknown magnitude), no time series from the AES are published, but separate tables for each edition. Data available from: reporting year 2016 Status of the figures: The figures in this table are final. Changes as of April 18, 2019: The underlying codes of the classifications used in this table (Personal characteristics) have been adjusted. These are now in line with the standard coding established by Statistics Netherlands. The structure and data of the table have not been modified. When will new numbers come out? The publication frequency is once every five to six years. New figures are expected to be published at the end of 2022.

Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to Jul 2025 about employment-population ratio, civilian, 16 years +, household survey, employment, population, and USA.