In August 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at seven percent. In comparison, financial activities workers had the lowest unemployment rate, at 1.6 percent. The average for all industries was 4.5 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

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 2016 Employment and Unemployment Survey (EUS). The survey rounds covered a sample of about fourty nine 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

Mode of data collection

Computer Assisted Personal Interview [capi]

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.

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) implements the Labor Force Survey through four rounds every year. The survey covers about 16,500 households distributed over all governorates. The households are selected on the basis of scientific criteria in designing the multistage cluster stratified samples. It should be noted that the survey sample represents the Kingdom, governorates, three regions, urban / rural and Jordanians and non-Jordanians.

It is worth mentioning that the Department of Statistics uses the tablet sets in data collection and processing and an electronic questionnaire instead of the paper format.

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, three regions (Central, North and South), urban / rural and Jordanians and non-Jordanians.

Analysis unit

1- 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

Mode of data collection

Computer Assisted Personal Interview [capi]

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 STATA software 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 individual level, in STATA and then converted to SPSS, to be disseminated.

This dataset includes the historical series of sample Unemployment Insurance (UI) data collected through the benefit accuracy measurement (BAM) program. BAM is a statistical survey used to identify and support resolutions of deficiencies in the state’s (UI) system as well as to estimate state UI improper payments to be reported to DOL as required by the Improper Payments Information Act (IPIA) and the Elimination and Recovery Act (IPERA). BAM is also used to identify the root causes of improper payments and supports other analyses conducted by DOL to highlight improper payment prevention strategies and measure progress in meeting improper payment reduction targets.

Labour force survey (LFS) Purpose and short description The Labour Force Survey (LFS) is a household sample survey, conducted throughout the year. It is based on the responses of approximately 110,000 persons aged 15-89. Its main objective is to classify the population of 15-89 years into three groups (employed, unemployed and inactive persons on the labous market) and to provide descriptive and explanatory data on every category. This survey is also carried out in the other EU Member States and is coordinated by Eurostat, the statistical office of the European Union. In Belgium, the LFS is organised by Statbel. The objective is to obtain comparable information at European level, in particular as regards employment and unemployment rates as defined by the International Labour Office (ILO), but also to collect and disseminate data that are otherwise not available, for example about the mobility of workers, the reasons for working part-time, the various forms of part-time employment, the occupation, the educational level of the working age population, ... . Survey population Members of private households aged 15-89. Sample frame Demographic data from the National Register. Data collection method and sample size Data are collected through face-to-face interviews for the first wave of the survey. Since 2017, there have been three (shorter) follow-up waves to which households respond online or by telephone. Households with only inactive persons older than 64 can also be interviewed by telephone. Every year, around 34,000 households take part in this survey. Response rate On average, the response rate in the first wave of the survey is around 68% and in the follow-up waves between 90% and 95%. Periodicity Quarterly Release calendar Results availability: around 3 months after the end of the reference period. Forms Labour Force Survey 2025 (PDF, 1 Mb) Definitions regarding employment and unemployment The survey is harmonised at European level. The definitions regarding employment and unemployment that are mentioned are those of the International Labour Office (ILO) to allow international comparison. People with a job (employed people) comprise all people who during the reference week performed some work ‘for wage or salary’ or ‘for profit’ regardless of the duration (even if this was only one hour), or who had a job but were temporarily absent. For example, one can be temporarily absent for holidays, illness, technical or economic reasons (temporary unemployment),.... Family workers are also included in the category ‘employed’. Since 2021, people who have been temporarily unemployed for an uninterrupted period of more than three months are counted as unemployed or inactive, and no longer as employed. The unemployed comprise all people who: (a) during the reference week were without work, i.e. were not in paid employment or self-employment; (b) were available for work, i.e. were available for paid employment or self-employment within two weeks after the reference week; (c) were actively seeking work, i.e. had taken specific steps during the last four weeks including the reference week to seek paid employment or self-employment, or who had found a job to start within a maximum period of three months. Please note: The ILO unemployment figures are unrelated to any possible registration with the VDAB, Actiris, FOREM or the ADG, or to the receipt of unemployment benefits from ONEM (National Employment Office). As a result, they cannot be compared with administrative unemployment figures. The labour force is made up of the employed and the unemployed. The economically inactive population comprises all people who were not considered as employed or unemployed. The employment rate represents employed persons as a percentage of the same age population. The employment rate as part of the Europe 2020 Strategy represents the share of persons employed in the population aged 20 to 64. The unemployment rate represents the share of unemployed people in the labour force (employed + unemployed) within a given age group. The economic activity rate represents the share of the labour force (employed + unemployed) in the total population within a given age group. The above indicators (employment rate, unemployment rate and economic activity rate) are the most important indicators for international comparisons of the labour market evolution. Low-skilled people are people who have at best a lower secondary education diploma. Medium-skilled people have obtained an upper secondary education diploma, but no higher education diploma. High-skilled people have a higher education diploma. Metadata Employment, unemployment, labour market (NL-FR) Labour force survey (LFS) (NL-FR) Survey methodology Modifications to the Labour Force Survey (LFS) in 2021 LFS: Methodological improvements to the Labour Force Survey 2017 (PDF, 99 Kb) LFS: Presentation of the survey until 2016 (NL-FR) LFS: Presentation of the survey from 2017 (NL-FR) Note on the occasion

ACS 1-year estimates are based on data collected over one calendar year, offering more current information but with a higher margin of error. ACS 5-year estimates combine five years of data, providing more reliable information but less current. Both are based on probability samples. Some racial and ethnic categories are suppressed to avoid misleading estimates when the relative standard error exceeds 30%.

Data Source: American Community Survey (ACS) 1- & 5-Year Estimates

Why This Matters

Employment is the main source of income for most people. For many families and individuals, unemployment threatens access to basic needs, such as food, housing, transportation, health care, and education, among others.

Nationally, Black workers and workers of color, on average, experience persistently higher unemployment rates than white workers. Racist policies and practices, including segregation, employment discrimination, and inequities in the criminal justice system have undermined job security for workers of color.

The District's Response

Initiatives that support residents in career advancement and their efforts to secure sustainable employment through education and training support, such as Career MAP, Advanced Technical Centers (ATC), and the DC Infrastructure Academy, among other programs and services.

Administering federal and local safety net programs that provide temporary cash and health benefits to help residents experiencing unemployment and related economic hardship meet their basic needs, including unemployment insurance, Medicaid, TANF For District Families, SNAP, etc.

Programs to remove barriers employment for returning citizens, such as Pathways to Work and the Returning Citizens Access to Jobs Grant.

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

Historical series of Characteristics of the Insured Unemployed Reports (ETA-203) including monthly data by state breaking out insured unemployment by claimant characteristics including age, gender, race, occupation and industry. The report collects characteric information on individuals filing a continued claim for Unemployment Insurance reflecting unemployment during the week which includes the 12th of the month. The data in this dataset is intended to align with the unemployment data collected through the monthly Consumer Population Survey.

Graph and download economic data for Unemployment Level (UNEMPLOY) from Jan 1948 to Sep 2025 about 16 years +, household survey, unemployment, and USA.

In May 2025, 2.8 billion U.S. dollars were paid out in unemployment benefits in the United States. This is a decrease from April 2025, when 3.2 billion U.S. dollars were paid in unemployment benefits. The large figures seen in 2020 are largely due to the impact of the coronavirus pandemic. Welfare in the U.S. Unemployment benefits first started in 1935 during the Great Depression as a part of President Franklin D. Roosevelt’s New Deal. The Social Security Act of 1935 ensured that Americans would not fall deeper into poverty. The United States was the only developed nation in the world at the time that did not offer any welfare benefits. This program created unemployment benefits, Medicare and Medicaid, and maternal and child welfare. The only major welfare program that the United States currently lacks is a paid maternity leave policy. Currently, the United States only offers 12 unpaid weeks of leave, under certain circumstances. However, the number of people without health insurance in the United States has greatly decreased since 2010. Unemployment benefits Current unemployment benefits in the United States vary from state to state due to unemployment being funded by both the state and the federal government. The average duration of people collecting unemployment benefits in the United States has fluctuated since January 2020, from as little as 4.55 weeks to as many as 50.32 weeks. The unemployment rate varies by ethnicity, gender, and education levels. For example, those aged 16 to 24 have faced the highest unemployment rates since 1990 during the pandemic. In February 2023, the Las Vegas-Henderson-Paradise, NV metropolitan area had the highest unemployment rate in the United States.

Abstract

The Employment and Unemployment surveys of National sample Survey (NSS) are primary sources of data on various indicators of labour force at National and State levels. These are used for planning, policy formulation, decision support and as input for further statistical exercises by various Government organizations, academicians, researchers and scholars. NSS surveys on employment and un-employment with large sample size of households have been conducted quinquennially from 27th. round(October'1972 - September'1973) onwards. Cotinuing in this series the fifth such all-india survey on the situation of employment and unemployment in India was carried out during the period july 1993 - june 1994 . In this survey, a nation-wide enquiry was conducted to provide estimates on various characteristics pertaining to employment and unemployment in India and some characteristics associated with them at the national and state levels. Information on various facets of employment and unemployment in India was collected through a schedule of enquiry (schedule 10). Apart from the information usually collected in the quinquennial rounds, information on some new items were also collected.

With the experience gained from the past four quinquennial surveys behind, keeping in view the need for further refinements in the concepts and procedures and wider coverage in the light of international practices, certain modifications/ changes were made in this survey the 50th round, without affecting its comparability with the past surveys. These are briefly cited below:

(i) In the past surveys, the current weekly status (CWS) of a person was first assigned on the basis of the response to the questions relating to his participation in gainful activities (non-gainful activities) and thereafter the daily time disposition data was collected only for those in the labour force as per the CWS. In this round,the daily time disposition for all the persons surveyed were collected and the CWS was determined based on the time disposition data so collected, without probing any further on this point.

(ii) Certain probing questions were introduced to all persons who were unemployed on all the days of the days of the reference week. These include educational background of unemployed, spell of unemployment, industry-occupation of the last employment, reason for leaving the employment, etc.

(iii) A set of probing questions were framed to get the profile of the children (5-14 years) particularly their economic activities.

(iv) As information on migration were collected extensively in the 49th round, items relating to migration were not collected in this 50th round.

(v) The probing questions meant for the employed persons according to usual status were modified to obtain a better view of the underemployment situation.

(vi) Hitherto, in NSS, work was identified with the performing of 'gainful activity'. As the international standards use the term 'economic activity' rather than 'gainful activity', the concept of economic activity was introduced in the fiftieth round. However, the coverage of activities under the new term was kept the same as in the earlier surveys, except, for the inclusion of 'own account production of fixed assets' as a work related activity.

(vii) In the NSS quinquennial surveys the identification of usual status involved a trichotomous classification of persons into 'employed', 'unemployed' and 'out of labour force' based on the major time criterion. In this round, the procedure prescribed was a two stage dichotomous procedure which involves a classification into 'labour force' and 'out of labour force' in the first stage and the labour force into 'employed' and 'unemployed' in the second stage.

Work Programme: The survey period of one year was divided into four sub-rounds of three months duration each as below.

sub-round period of survey

1 July-September, 1993 2 October- December, 1993 3 January-March, 1994 4 April-June, 1994

Period of Survey for the Four Sub-Rounds Equal number of sample villages and blocks was allotted for survey in each of these sub--rounds. However in Andaman and Nicobar Islands , Lakshadweep, and rural areas of Arunachal Pradesh and Nagaland, the re-striction of surveying the allotted households during the sub-round period was not strictly enforced.The survey used the interview method of data collection from a sample of randomly selected households.

Geographic coverage

The fifth quinquennial survey was conducted during the 50th round survey operations from July 1993 to June, 1994. Generally the NSSO surveys cover the entire country with the exception of certain interior areas of Nagala nd and the Andaman & Nicobar Islands. However in this round besides the above, in the state of Jammu & Kashmir out of the 12 Districts, only three Districts could be surveyed. These Districts viz. Jammu, Kathua and Udhampur are however included in the all India estimates..

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design adopted for this round of survey was similar to that followed in the past surveys in its general aspects. The ge neral scheme was a two stage stratified design with the first stage units being villages in the rural areas and urban frame survey blocks(UFS) in the urban areas. The second stage units were the households.

Sampling frame for first stage units:

The frame used for selection of first stage units in the rural sector was the 1991 census list of villages for all the four sub-rounds for 8 states/u.t.s viz. Andhra Pradesh, Assam, Kerala, Madhya Pradesh, Orissa, Uttar Pradesh, West Bengal and Chandigarh. However for Agra district of U.P. and the three districts, viz.Durg, Sagar, and Morena of M.P., samples were drawn using 1981 census list of villages. For Jammu & Kashmir samples for all the 4 sub-rounds were drawn using the 1981 census list as the 1991 census was not conducted in the st ate. For the remaining 23 states/u.t.s, the frame was 1991 census list for sub-rounds 2 to 4 and 1981 census list for sub-round 1 as the 1991 census list was not available for use at the time of drawing the samples. As usual, for Nagaland the list of villages within 5 kms. of the bus route and for Andaman and Nicobar Islands the list of accessible villages constituted the frame. In the case of urban sector the frame consisted of the UFS blocks and, for some newly declared towns where these were not available, the 1991 census enumeration blocks were used.

Region formation and stratification: States were divided into regions by grouping contiguous districts similar in respect of population density and cropping pattern. In rural sector each district was treated a separate stratum if the population was below 2 million and where it exceeded 2 million, it was split into two or more strata. This cut off point of population was taken as 1.8 million ( in place of 2 million ) for the purpose of stratification for districts for which the 1981 census frame wa s used. In the urban sector, strata were formed, within each NSS region on the basis of population size class of towns. However for towns with population of 4 lakhs or more the urban blocks were divided into two classes viz. one consisting of blocks inhabited by affluent section of the population and the other consisting of the remaining blocks.

Selection of first stage units :

Selection of sample villages was done circular systematically with probability proportional to population and sample blocks circular system-atically with equal probability. Both the sample villages and the sample blocks were selected in the form of two or more independent sub-samples. In Arunachal Pradesh the procedure of cluster sampling has been followed. Further large villages/blocks having present population of 1200 or more were divided into a suitable number of hamlet- groups/ sub-blocks having equal population content. Two hamlet- groups were selected from the larger villages while one sub-block was selected in urban sector for larger blocks.

Selection of households :

While listing the households in the selected villages, certain relatively affluent households were identified and considered as second stage stratum 1 and the rest as second stage stratum 2. A total of 10 households were surveyed from the selected village/hamlet-groups, 2 from the fi rst category and remaining from the second. Further in the second stage stratum-2, the households were arranged according to the means of livelihood. The means of livelihood were identified on the basis of the major source of income as i) self-employed in non-agricultu re, ii) rural labour and iii) others. The land possessed by the households was also ascertained and the frame for selection was arranged on the basis of this information. The households were selected circular systematically from both the second stage strata.

In the urban blocks a different method was used for arranging the households for selection. This involved the identification means of livelihood of households as any one of a) self-employed, b)regular salaried/wage earnings, c) casual labour, d) others. Further the average household monthly per capita consumer expenditure (mpce) was also ascertained. All households with MPCE of (i) Rs. 1200/- or more (in towns with population less than 10 lakhs or (ii) Rs. 1500/- or more (in towns with population 10 lakh or more)

The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. The earnings data are collected from one-fourth of the CPS total sample of approximately 60,000 households. Data measures usual hourly and weekly earnings of wage and salary workers. All self-employed persons are excluded, regardless of whether their businesses are incorporated. Data represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received. Earnings data are available for all workers, by age, race, Hispanic or Latino ethnicity, sex, occupation, usual full- or part-time status, educational attainment, and other characteristics. Data are published quarterly. More information and details about the data provided can be found at http://www.bls.gov/cps/earnings.htm

Overview

This repository contains file of monthly US Unemployment rates going back to 1948

Acknowledgment

Would like to thank the book "Practical Time Series Analysis" for alerting me to this dataset.

The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. 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. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.LFS revisions: Labour force surveys are revised on a periodic basis, either to adopt the most recent geography, industry and occupation classifications; to use new observations to fine-tune seasonal adjustment factors; or to introduce methodological enhancement. Prior LFS revisions were conducted in 2011, 2015 and 2021. The most recent revisions to the LFS were conducted in 2023. The first major change was a transition to the National Occupational Classification (NOC) 2021 V1.0, with all LFS series from 1987 onwards having been revised to the new classification. The second major change were methodological enhancements to LFS data processing, applied to all LFS series beginning Jan 2006. The third major change was a revision of seasonal adjustment factors, applied to LFS series Jan 2002 onward. A list of prior versions of this LFS dataset can be found under the ‘Versions’ tab.

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative ONLY the West Bank, locality type (urban, rural, camp)

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of this survey is implemented periodically every quarter by PCBS since 1995, where this survey is implemented every quarter in the year (distributed over 13 weeks). The sample is a two-stage stratified cluster sample with two stages: First stage: selection of a stratified sample of 536 EA with (pps) method. Second stage: selection of a random area sample of 15 households from each enumeration area selected in the first stage. The estimated sample size in third quarter was 8,040 households, 4,216 households completed only in the West Bnak, and no questionnaires completed in Gaza Strip because of the Israeli war on Gaza Strip in q3 2024.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate in the West Bank was 84.3% in the third quarter 2024

Sampling error estimates

Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and at the level of governorates of the West Bank .

Data appraisal

The concept of data quality encompasses various aspects, started with planning of the survey to how to publish, understand and benefit from the data. The most important components of statistical quality elements are accuracy, comparability and quality control procedures

The Consumer Expenditure Survey (CE) program consists of two surveys, the quarterly Interview Survey and the Diary Survey, that provide information on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the Bureau of Labor Statistics by the U.S. Census Bureau.The CE collects information on all spending components including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs including insurance premiums.

Abstract

Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

Geographic coverage

The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates

Analysis unit

Household, Individual.

Universe

The survey covered all the Palestinian persons aged 10 years and above who are a usual residence in State of Palestine

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is two stage stratified cluster sample with two stages : First stage: we select a systematic random sample of 494 enumeration areas for the whole round ,and we excluded the enumeration areas which its sizes less than 40 households. Second stage: we select a systematic random sample of 16 households from each enumeration area selected in the first stage, se we select a systematic random of 16 households of the enumeration areas which its size is 80 household and over and the enumeration areas which its size is less than 80 households we select systematic random of 8 households. Sample strata: The population was divided by: 1- Governorates 2- Type of Locality (urban, rural, refugee camps).

The estimated sample size is 7,616 households in each quarter of 2014, but in the second quarter 2014 only 7,541 households were collected, where 75 households couldn't be collected in Gaza Strip because of the Israeli aggression.

Mode of data collection

Face-to-face [f2f]

Research instrument

The lfs questionnaire consists of four main sections: Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

All questionnaires were edited after data entry in order to minimize errors related data entry.

Response rate

The response rate was 90.3% in 2014, and in quarters: First quarter 2014: 91.9% Second quarter 2014: 90.8% Third quarter 2014: 89.3% Fourth quarter 2014: 90.1%

Sampling error estimates

Detailed information on the sampling Error is available in the Survey Report.

Data appraisal

Detailed information on the data appraisal is available in the Survey Report

The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OEWS survey make these estimates possible. The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series. The OEWS estimates are published annually. SOURCE: https://www.bls.gov/oes/oes_emp.htm

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

The Content of this data is about the unemployment stats of united states collected from US Bureau of Labor statistics, the checkout data is raw data.

The Fields include

LAUs Code FIPS Code (State & County) Country Name & State Year Labor Force Employed Unemployed Unemployment Rate