Civilian labor force data consists of the number of employed persons, the number of unemployed persons, an unemployment rate and the total count of both employed and unemployed persons (total civilian labor force). Labor force refers to an estimate of the number of persons, 16 years of age and older, classified as employed or unemployed. The civilian labor force, which is presented in these data tables, excludes the Armed Forces, i.e., the civilian labor force equals employed civilians plus the unemployed. Employed persons are those individuals, 16 years of age and older, who did any work at all during the survey week as paid employees, in their own business, profession or farm, or who worked 15 hours or more as unpaid workers in a family operated business. Also counted as employed are those persons who had jobs or businesses from which they were temporarily absent because of illness, bad weather, vacation, labor-management dispute, or personal reasons. Individuals are counted only once even though they may hold more than one job. Unemployed persons comprise all persons who did not work during the survey week but who made specific efforts to find a job within the previous four weeks and were available for work during the survey week (except for temporary illness). Also included as unemployed are those who did not work at all, were available for work, but were not actively seeking work because they were either waiting to be called back to a job from which they were laid off or waiting to report to a new job within 30 days. The unemployment rate represents the number of unemployed persons as a percent of the total civilian labor force.

As of August 2018, the employment situation of women in Libya differed significantly from that of men. According to a survey, female unemployment reached around 60 percent, against only five percent for males. Moreover, a significant difference was observed in the share of self-employed individuals, with men exceeding the female self-employment share by nearly 10 times.

SELECTED ECONOMIC CHARACTERISTICS EMPLOYMENT STATUS - DP03 Universe - Population 16 years and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The series of questions on employment status was designed to identify, in this sequence: (1) people who worked at any time during the reference week; (2) people on temporary layoff who were available for work; (3) people who did not work during the reference week but who had jobs or businesses from which they were temporarily absent (excluding layoff); (4) people who did not work during the reference week, but who were looking for work during the last four weeks and were available for work during the reference week; and (5) people not in the labor force.

In 2025, the employability rate in the Indian city of Pune was estimated to be 78.3 percent. It was followed by the southern Indian city of Bengaluru, with an employability of about 76 percent. Bengaluru, was the most preferred city to work in the country.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Monthly

Sampling procedure

Sample size:

Table of INEBase Current employment situation by gender, age and disability group. Population aged 16 and over with a disability. National. Disability, Independence and Dependency Situations Survey

According to a survey from 2021, 57 percent of Swedes were working the same amount of hours as before the coronavirus crisis. Another 10 percent of the respondents were working more hours as usual, while nine percent had experienced fewer working hours or a lower salary. Considering unemployment, seven percent of the respondents had lost their jobs due to the crisis.

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

Mexico BTS: MBCI: National Employment Situation: Next 6 Months: Unchanged data was reported at 63.990 % in Mar 2019. This records an increase from the previous number of 59.640 % for Feb 2019. Mexico BTS: MBCI: National Employment Situation: Next 6 Months: Unchanged data is updated monthly, averaging 55.900 % from Jan 1998 (Median) to Mar 2019, with 255 observations. The data reached an all-time high of 76.060 % in Jul 2018 and a record low of 19.500 % in Jan 2009. Mexico BTS: MBCI: National Employment Situation: Next 6 Months: Unchanged data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.S003: Business Tendency Survey.

Exploitation of microdata, elaboration and dissemination of data for Aragon from the disability survey developed by the INE.

Graph and download economic data for Employment Level - Part-Time for Economic Reasons, Slack Work or Business Conditions, Nonagricultural Industries (LNS12032198) from May 1955 to Feb 2025 about nonagriculture, part-time, 16 years +, business, household survey, employment, industry, and USA.

Perceived functional social support, by sex and employment situation. Average and standard deviation. Population aged 16 years old and over. National.

Mexico BTS: MBCI: Company Employment Situation: Next 6 Months: Increase data was reported at 18.290 % in Mar 2019. This records a decrease from the previous number of 24.270 % for Feb 2019. Mexico BTS: MBCI: Company Employment Situation: Next 6 Months: Increase data is updated monthly, averaging 20.450 % from Jan 1998 (Median) to Mar 2019, with 255 observations. The data reached an all-time high of 30.080 % in Mar 2010 and a record low of 2.030 % in Feb 2009. Mexico BTS: MBCI: Company Employment Situation: Next 6 Months: Increase data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.S003: Business Tendency Survey.

Employment Rate in Mexico decreased to 97.30 percent in January from 97.60 percent in December of 2024. This dataset provides - Mexico Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Data from the Survey of Incorporation into Active Life that measures the labor insertion of graduates of F.P. Data are presented by employment status, sex, region, branch of activity and occupation.

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

Time elapsed since the last blood pressure reading, by sex and employment situation. Population aged 16 years old and over that has had a blood pressure reading at some point in time. National.

Replication files for "Job-to-Job Mobility and Inflation" Authors: Renato Faccini and Leonardo Melosi Review of Economics and Statistics Date: February 2, 2023 -------------------------------------------------------------------------------------------- ORDERS OF TOPICS .Section 1. We explain the code to replicate all the figures in the paper (except Figure 6) .Section 2. We explain how Figure 6 is constructed .Section 3. We explain how the data are constructed SECTION 1 Replication_Main.m is used to reproduce all the figures of the paper except Figure 6. All the primitive variables are defined in the code and all the steps are commented in code to facilitate the replication of our results. Replication_Main.m, should be run in Matlab. The authors tested it on a DELL XPS 15 7590 laptop wih the follwoing characteristics: -------------------------------------------------------------------------------------------- Processor Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz 2.40 GHz Installed RAM 64.0 GB System type 64-bit operating system, x64-based processor -------------------------------------------------------------------------------------------- It took 2 minutes and 57 seconds for this machine to construct Figures 1, 2, 3, 4a, 4b, 5, 7a, and 7b. The following version of Matlab and Matlab toolboxes has been used for the test: -------------------------------------------------------------------------------------------- MATLAB Version: 9.7.0.1190202 (R2019b) MATLAB License Number: 363305 Operating System: Microsoft Windows 10 Enterprise Version 10.0 (Build 19045) Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode -------------------------------------------------------------------------------------------- MATLAB Version 9.7 (R2019b) Financial Toolbox Version 5.14 (R2019b) Optimization Toolbox Version 8.4 (R2019b) Statistics and Machine Learning Toolbox Version 11.6 (R2019b) Symbolic Math Toolbox Version 8.4 (R2019b) -------------------------------------------------------------------------------------------- The replication code uses auxiliary files and save the pictures in various subfolders: \JL_models: It contains the equations describing the model including the observation equations and routine used to solve the model. To do so, the routine in this folder calls other routines located in some fo the subfolders below. \gensystoama: It contains a set of codes that allow us to solve linear rational expectations models. We use the AMA solver. More information are provided in the file AMASOLVE.m. The codes in this subfolder have been developed by Alejandro Justiniano. \filters: it contains the Kalman filter augmented with a routine to make sure that the zero lower bound constraint for the nominal interest rate is satisfied in every period in our sample. \SteadyStateSolver: It contains a set of routines that are used to solved the steady state of the model numerically. \NLEquations: It contains some of the equations of the model that are log-linearized using the symbolic toolbox of matlab. \NberDates: It contains a set of routines that allows to add shaded area to graphs to denote NBER recessions. \Graphics: It contains useful codes enabling features to construct some of the graphs in the paper. \Data: it contains the data set used in the paper. \Params: It contains a spreadsheet with the values attributes to the model parameters. \VAR_Estimation: It contains the forecasts implied by the Bayesian VAR model of Section 2. The output of Replication_Main.m are the figures of the paper that are stored in the subfolder \Figures SECTION 2 The Excel file "Figure-6.xlsx" is used to create the charts in Figure 6. All three panels of the charts (A, B, and C) plot a measure of unexpected wage inflation against the unemployment rate, then fits separate linear regressions for the periods 1960-1985,1986-2007, and 2008-2009. Unexpected wage inflation is given by the difference between wage growth and a measure of expected wage growth. In all three panels, the unemployment rate used is the civilian unemployment rate (UNRATE), seasonally adjusted, from the BLS. The sheet "Panel A" uses quarterly manufacturing sector average hourly earnings growth data, seasonally adjusted (CES3000000008), from the Bureau of Labor Statistics (BLS) Employment Situation report as the measure of wage inflation. The unexpected wage inflation is given by the difference between earnings growth at time t and the average of earnings growth across the previous four months. Growth rates are annualized quarterly values. The sheet "Panel B" uses quarterly Nonfarm Business Sector Compensation Per Hour, seasonally adjusted (COMPNFB), from the BLS Productivity and Costs report as its measure of wage inflation. As in Panel A, expected wage inflation is given by the... Visit https://dataone.org/datasets/sha256%3A44c88fe82380bfff217866cac93f85483766eb9364f66cfa03f1ebdaa0408335 for complete metadata about this dataset.

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.

Employment Rate in Iceland decreased to 76 percent in February from 77.40 percent in January of 2025. This dataset provides - Iceland Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.