4 datasets found
  1. F

    Job Losers Not on Layoff as a Percent of Total Unemployed

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Job Losers Not on Layoff as a Percent of Total Unemployed [Dataset]. https://fred.stlouisfed.org/series/LNS13026511
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Job Losers Not on Layoff as a Percent of Total Unemployed (LNS13026511) from Jan 1967 to Jun 2025 about job losers, layoffs, 16 years +, percent, household survey, unemployment, and USA.

  2. F

    Unemployment Rate - Black or African American

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Unemployment Rate - Black or African American [Dataset]. https://fred.stlouisfed.org/series/LNS14000006
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Jun 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

  3. F

    Total Unemployed, Plus All Persons Marginally Attached to the Labor Force,...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6) [Dataset]. https://fred.stlouisfed.org/series/U6RATE
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6) (U6RATE) from Jan 1994 to Jun 2025 about marginally attached, part-time, labor underutilization, workers, 16 years +, labor, household survey, unemployment, and USA.

  4. i

    Employment and Unemployment Survey 2014, Economic Research Forum (ERF)...

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Jun 26, 2017
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    Department of Statistics (2017). Employment and Unemployment Survey 2014, Economic Research Forum (ERF) Harmonization Data - Jordan [Dataset]. https://datacatalog.ihsn.org/catalog/6954
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    Dataset updated
    Jun 26, 2017
    Dataset provided by
    Economic Research Forum
    Department of Statistics
    Time period covered
    2014
    Area covered
    Jordan
    Description

    Abstract

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

    The Department of Statistics (DOS) carried out four rounds of the 2014 Employment and Unemployment Survey (EUS) during February, May, August and November 2014. The survey rounds covered a total sample of about fifty three thousand households Nation-wide. The sampled households were selected using a stratified multi-stage cluster sampling design.

    It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

    The survey main objectives are:

    • To identify the demographic, social and economic characteristics of the population and manpower.
    • To identify the occupational structure and economic activity of the employed persons, as well as their employment status.
    • To identify the reasons behind the desire of the employed persons to search for a new or additional job.
    • To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old).
    • To identify the different characteristics of the unemployed persons.
    • To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard.
    • To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons.
    • To identify the changes overtime that might take place regarding the above-mentioned variables.

    The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

    Geographic coverage

    Covering a sample representative on the national level (Kingdom), governorates, and the three Regions (Central, North and South).

    Analysis unit

    1- Household/family. 2- Individual/person.

    Universe

    The survey covered a national sample of households and all individuals permanently residing in surveyed households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

    Survey Frame

    The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city. The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate was considered as an independent stratum. The same was applied to rural areas where it was considered as an independent stratum. The total number of strata was 30.

    In view of the existing significant variation in the socio-economic characteristics in large cities in particular and in urban in general, each stratum of the large cities and urban strata was divided into four sub-stratum according to the socio- economic characteristics provided by the population and housing census with the purpose of providing homogeneous strata.

    The frame excludes the population living in remote areas (most of whom are nomads), In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.

    Sample Design

    The sample of this survey was designed, using the two-stage cluster stratified sampling method. The main sample was designed in 2009 based on the data of the population and housing census 2004 for carrying out household surveys. The sample representative on the Kingdom, rural, urban, regions and governorates levels. The total sample size for each round was 1336 PSUs (clusters). These units were distributed to governorates urban, rural and large cities in each governorate according to the weight of persons and households and according to the variance within each stratum. Slight modifications regarding the number of these units were made to cope with the multiple of 8, the number of clusters for four rounds was 53432.

    The main sample is consisted of 40 replicates, each replicate is consisted of 167 Primary Sampling Units (PSUs). For the purpose of each round, eight replicates of the main sample were used. The Primary Sampling Units (PSUs) were ordered within each stratum according to geographic characteristics and then according to socio-economic characteristics in order to ensure good spread of the sample. Then, the sample was selected on two stages, in the first stage, The Primary Sampling Units (PSUs) were selected, using the Probability Proportionate to Size with systematic selection procedure. The number of households, in each primary sampling unit (cluster) served as its weight or size. In the second stage, the blocks of the primary sampling units (cluster) which were selected in the first stage have been updated. Then a constant number of households (10 households) was selected, using the random systematic sampling method as final PSUs from each PSU (cluster).

    Sampling notes

    It is noteworthy that the sample of the present survey does not represent the non-Jordanian population, due to the fact that it is based on households living in conventional dwellings. In other words, it does not cover the collective households living in collective dwellings. Therefore, the non-Jordanian households covered in the present survey are either private households or collective households living in conventional dwellings. In Jordan, it is well known that a large number of non-Jordanian workers live as groups and spend most of their time at workplaces. Hence, it is more unlikely to find them at their residences during daytime (i.e. the time when the data of the survey is collected). Furthermore, most of them live in their workplaces, such as: workshops, sales stores, guard places, or under construction building's sites. Such places are not classified as occupied dwellings for household sampling purposes. Due to all of the above, the coverage of such population would not be complete in household surveys.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It was finalized upon completion of the training program. The questionnaire is divided into main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.

    Cleaning operations

    Raw Data

    A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

    Harmonized Data

    • The SPSS package is used to clean and harmonize the datasets.
    • The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
    • All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
    • A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
    • A post-harmonization cleaning process is then conducted on the data.
    • Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

    Response rate

    The results of the fieldwork indicated that all sample households were visited. The number of successfully completed interviews was 48436, that is 90.8 percent of the total sample households.

    Among the reasons of un-successful interviews (although three callbacks were made) 1.8 percent of the dwellings were closed at time of the visit.

    The findings also indicate that the response rate is 95.5 percent, based on dividing the number of completed questionnaires by the number of expected completed interviews, that is after excluding the vacant dwellings.

    More information on the distribution of interviews by region, governorate and visit results is available in table (E) in Page 4 of the annual report provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".

    Sampling error estimates

    Sampling errors were calculated

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(2025). Job Losers Not on Layoff as a Percent of Total Unemployed [Dataset]. https://fred.stlouisfed.org/series/LNS13026511

Job Losers Not on Layoff as a Percent of Total Unemployed

LNS13026511

Explore at:
jsonAvailable download formats
Dataset updated
Jul 3, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for Job Losers Not on Layoff as a Percent of Total Unemployed (LNS13026511) from Jan 1967 to Jun 2025 about job losers, layoffs, 16 years +, percent, household survey, unemployment, and USA.

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