In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

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.

Graph and download economic data for Unemployment Rate - 20 Yrs. & over (LNS14000024) from Jan 1948 to Jun 2025 about 20 years +, household survey, unemployment, rate, and USA.

Italy's unemployment rate reached 7.6 percent in 2023, the lowest value since 2009. Forecasts suggest that it will stabilize around 7.5 percent between 2024 and 2026. The regions with the highest unemployment rates were in the south. Campania, Calabria, and Sicily registered rates from 15.8 percent to 17.4 percent, a large difference when compared to the northern regions, as only 2.8 percent of residents in Trentino South-Tyrol were unemployed, the lowest share nationwide. Young people mostly impacted Figures about the youth unemployment rate show that the financial crisis impacted the young working population significantly. Between 2004 and 2007, the share of unemployed individuals aged 15 to 24 years was declining. Subsequently, between 2008 and 2014, the rate almost doubled. In this case, southern regions had the largest share of young people without a job. In Sicily, Campania, and Calabria, more than one third of the population aged between 15 and 24 years was unemployed in 2022. Women more often unemployed In most of the Italian regions, the share of young unemployed women was higher than those of young males. In both Campania and Sicily, 50 percent of women aged 15 to 24 years did not have a job. Sicily was the region in Italy with the highest rate of unemployed young men. In this region, 51 percent of males were unemployed, almost five times more than in Trentino-South Tyrol, where the unemployment rate of young men stood at around nine percent.

At a rate of 11.27 percent in the second quarter of 2024, Spain was one of the countries with the highest unemployment rates in the European Union. As of the third quarter of 2005, the unemployment rate in Spain was at roughly 8.4 percent, the lowest recorded in the period under consideration. However, a few years later, by the third quarter of 2009, it had more than doubled. It was not until 2016 that Spain witnessed a downward trend in its unemployment rate. Unemployment in Spain The age group with the highest distribution of unemployment is that of teenagers (16 to 19 years). Recent quarterly unemployment figures in Spain show that unemployment peaked in the first quarter of 2013, whereby there were approximately 6.28 million inhabitants unemployed, by the same quarter in 2024, unemployment had decreased by over 3 million. This trend is also reflected in the number of people in employment in Spain. The situation in the European Union Spain was the European country with the highest unemployment rate in August 2023, with nearly 12 percent of the labor force out of work. This figure is considerably higher than that of the rest of the European Union, which had an average unemployment rate of six percent as of the same period. In terms of youth unemployment, figures in the European Union reached 14 percent in August 2023, although the numbers varies greatly across the countries. While Greece and Spain topped the list at a youth unemployment rate of 23.5 and 26.8 percent, Germany was at the bottom of the list with just 5.7 percent of its youth out of a job.

Historical chart and dataset showing Japan unemployment rate by year from 1991 to 2024.

In 2023, the unemployment rate in Michigan was at 3.9 percent. This is a decrease from the previous year, when the unemployment rate stood at 4.1 percent, and is down from a high of 13.1 percent in 2009.

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

Unemployment Rate in Spain decreased to 10.29 percent in the second quarter of 2025 from 11.36 percent in the first quarter of 2025. This dataset provides the latest reported value for - Spain Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Abstract

Objective of the survey on employment and unemployment:

The basic objective of the employment-unemployment surveys of NSSO is to get estimates of the employment and unemployment characteristics at national and State level. The statistical indicators on labour market are required for planning, policy and decision making at various levels, both within government and outside. Some of the important uses of these indicators include use by the Planning Commission in evolving employment strategy, use by National Accounts Division in estimating gross domestic product using sector wise workforce participation, and use by various researchers to analyse the condition of the labour market. In this context, it may be mentioned that data collected in NSS employment-unemployment surveys was widely used by the National Commission for Enterprises in the Unorganised Sector (NCEUS), 2009. In NSS 68th round, information on various facets of employment and unemployment will be collected in Schedule 10 (Employment and Unemployment) from all the members of the selected households.

The critical issues in the context of labour force enquiries pertain to defining the labour force and measuring participation of labour force in different economic activities. The activity participation of the people is not only dynamic but also multidimensional; it varies with region, age, education, gender, industry and occupational category. These aspects of the labour force will be captured in detail in the present survey on employment and unemployment. Major types of information that will be collected in this round relate to activity status, industry, occupation and earning from employment for the employees along with education particulars, etc. Besides, the survey will also provide insight into the informal sector and informal employment. Information will be collected from the workers about the type of enterprises in which they were engaged and conditions of employment for the employees. Using the data collected from employment and unemployment surveys, indicators will be generated on labour force participation rate, worker population ratio, unemployment rates, employment in the informal sector, informal employment, wages of employees, etc.

Description:

The survey on employment and unemployment is the prime source of estimates of various parameters of labour force and activity participation of the population. The first quinquennial survey on employment - unemployment, carried out by the NSSO in the 27th round (September 1972 - October 1973), made a marked departure from the earlier employment surveys of NSSO in procedure and content. The concepts and procedures followed in this survey were primarily based on the recommendations of the 'Expert Committee on Unemployment Estimates' (1970). Since then, the seven successive quinquennial surveys conducted in the 32nd, 38th, 43rd, 50th, 55th, 61st and 66th rounds have, more or less, followed an identical approach in the measurement of employment and unemployment. The basic approach (in all these seven quinquennial surveys) had been the collection of data to generate the estimates of employment and unemployment according to the 'usual status' based on a reference period of one year, the 'current weekly status' based on a reference period of one week, and the 'current daily status' based on each day of the seven days preceding the date of survey. In order to reveal the multi-dimensional aspects of the employment-unemployment situation in India, information on several correlates were also gathered in these surveys. Sets of probing questions on some of these aspects had also been one of the basic features of these surveys. In NSS 68th round (July 2011- June 2012), detailed information on employment-unemployment was collected in the same way as was done in the last quinquennial survey, i.e., in NSS 66th round.

A Working Group was set up for the purpose of finalising the survey methodology and schedules of enquiry of the 68th round. Considering all the aspects of current data demand and usefulness of the survey results, the Group has suggested a few improvisations, additions and deletions in the content of the schedule of enquiry for the present survey. The major changes made in the schedule for employment and unemployment survey vis-à-vis the previous quinquennial survey (NSS 66th round) are given below:

a) Block 3: 1) In NSS 66th round survey, along with the information on 'whether the household has NREG job card', information was collected on 'whether got work in NREG works during the last 365 days', 'number of days worked' and 'mode of payment'. In NSS 68th round for rural households, information on Mahatma Gandhi National Rural Employment Guarantee (MGNREG) works was collected on the following: i. whether the household has MGNREG job card ii. number of MGNREG job cards issued to the household iii. whether any member of the household has any bank/post office account Information on the last two items (viz., ii & iii) will be collected from the households which have got MGNREG job card. 2) Household type codes and procedure for determination of household type codes in rural areas have been modified.

b) Block 3.1: In this block information on indebtedness of rural labour households was collected in NSS 66th round. This Block was not canvassed in NSS 68th round.

c) Block 4: i. Instead of collecting information on 'whether currently registered with employment exchange' for persons of age 15-45 years as was done in NSS 66th round, information was collected for the same age group on 'whether currently registered with any placement agency'. ii. In NSS 66th round, for vocational training, detailed information was collected on 'duration of training', 'source from which degree/diploma/certificate received' and 'whether the vocational training was ever helpful in getting a job'. In NSS 68th round, collection of information on vocational training was restricted only to 'whether receiving/received any vocational training' and 'field of training'. iii. For persons of age 18 years and above in rural households with MGNREG job card, information was collected on 'whether registered in any MGNREG job card' and, for those who were registered in any MGNREG job card 'whether worked in MGNREG work during last 365 days'. Such information was not collected in NSS 66th round.

d) Block 5.1/5.2: i. Information on 'seeking or available or suitable for the type of occupation' which was collected in NSS 66th round in Block 5.1 from the non-workers of age below 75 years, was not collected. ii. The probing questions to the self-employed persons in the usual status (Block 5.1/5.2) to identify Home Based Workers have been deleted.

e) Block 5.3: i. In this block, for those who were unemployed on all the 7 days of the week, information was also collected on 'duration of present spell of unemployment'. In NSS 66th round, this question was placed in Block 6. Except retaining this item in Block 5.3, Block 6 of NSS 66th round on follow-up questions for persons unemployed on all the 7 days of the week has been deleted.

f) Block 6 (Block 7.1/7.2 of NSS 66th round): i. Block 7.1 and Block 7.2 have been restructured by deleting some of the items and a new block (Block 6) has been formed in NSS 68th round. ii. Questions on remunerativeness of the earning from self-employment which were asked in NSS 66th round in Block 7.1 to the self-employed persons in principal status and/or subsidiary status have been deleted. These were, 'do you regard the current earning from self-employment as remunerative?' and 'what amount per month would you regard as remunerative?'. iii. Information was collected in NSS 66th round in Block 7.2 on some aspects of labour mobility, such as, whether changed establishment, status, industry, occupation during the period of last two years. Information on these items was not collected in NSS 68th round. iv. The three items of Block 7.2 of NSS 66th round which have been retained in NSS 68th round are placed in Block 6. These are: 1. Is there any union/association in your activity? 2. Whether a member of union/association 3. Nature of employment

Geographic coverage

The survey will cover the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design

Outline of sample design: A stratified multi-stage design has been adopted for the 68th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (henceforth the term 'village' would include also Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of UFS blocks (2007-12) is considered as the sampling frame.

Stratification: Within each district of a State/ UT, generally speaking, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them forms a separate basic stratum and the remaining urban areas of the district are considered as another

In 2023, the unemployment rate in Kentucky was at 4.2 percent. This is a slight increase from the previous year, when the unemployment rate stood at four percent, but remains down from a high of 10.8 percent in 2009.

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 a two-stage stratified cluster random sample. Stratification: Four levels of stratification were made: 1. Stratification by Governorates. 2. Stratification by type of locality which comprises: (a) Urban (b) Rural (c) Refugee Camps The sample size was about 7,627 households in the 52th round and 7,627 households in the 53th round, and 7,677 households in the 54th round and 7,694 households in the 55th round

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 91.8% in 2009, and in quarters: First quarter 2009: 93.0% Second quarter 2009: 87.7% Third quarter 2009: 93.1% Fourth quarter 2009: 93.9%

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

Nigeria unemployment rate for 2023 was 3.07%, a 0.75% decline from 2022.

<ul style='margin-top:20px;'>

<li>Nigeria unemployment rate for 2022 was <strong>3.83%</strong>, a <strong>1.57% decline</strong> from 2021.</li>
<li>Nigeria unemployment rate for 2021 was <strong>5.39%</strong>, a <strong>0.32% decline</strong> from 2020.</li>
<li>Nigeria unemployment rate for 2020 was <strong>5.71%</strong>, a <strong>0.51% increase</strong> from 2019.</li>
</ul>Unemployment refers to the share of the labor force that is without work but available for and seeking employment.

In 2024, the unemployment rate in Worldwide stood at 4.89 percent. Between 1991 and 2024, the figure dropped by 0.24 percentage points, though the decline followed an uneven course rather than a steady trajectory.

Unemployment Rate in European Union remained unchanged at 5.90 percent in May. This dataset provides the latest reported value for - European Union Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Paraguay PY: Unemployment: National Estimate: Youth Male: % of Male Labour Force Aged 15-24 data was reported at 9.798 % in 2017. This records an increase from the previous number of 9.539 % for 2009. Paraguay PY: Unemployment: National Estimate: Youth Male: % of Male Labour Force Aged 15-24 data is updated yearly, averaging 8.634 % from Dec 1993 (Median) to 2017, with 10 observations. The data reached an all-time high of 11.150 % in 1993 and a record low of 7.234 % in 2007. Paraguay PY: Unemployment: National Estimate: Youth Male: % of Male Labour Force Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Paraguay – Table PY.World Bank: Employment and Unemployment. Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

In 2020, the unemployment rate in Ghana was at approximately 3.01 percent of the total labor force. The unemployment rate is the percentage of a country's labor force that are without jobs but are available to work and actively seeking employment. Ghana’s unemployment rate is above the worldwide unemployment rate, and compared to other Sub-Saharan African countries and other regions, Ghana has a relatively average rate of unemployment. Ghana’s population Due to the nature of its economy and its population size of over 30 million people, Ghana’s estimated GDP per capita amounts to just over 2,200 U.S. dollars in 2018 and forecast to rise continually over the next few years. Almost half of the country’s population works in the services sector, and around 33 percent work in agriculture. The population is relatively young, with only around 3 percent of the total population aged 65 years or older. Ghana’s hopeful future One of the most important economic centers of its region, Ghana’s GDP is at over 65 billion U.S. dollars, and it is projected to grow to over 97 billion U.S. dollars by 2024. Ghana is a country with several valuable natural resources, including gold, petroleum, cocoa, and natural gas. The country’s economy is particularly focused on manufacturing and exporting digital technology goods, and industrial materials. Ghana utilizes these exports domestically as well; its mixed economy is increasingly digital based. A regional leader, it has the goal of being the first African nation to become a developed country in the next decade. There are several positive indications encouraging this possibility, such as that GDP has grown each year, albeit at inconsistent rates.

Ukraine Unemployment: Period: 10 to 12 Months data was reported at 8.100 % in 2015. This records an increase from the previous number of 7.300 % for 2014. Ukraine Unemployment: Period: 10 to 12 Months data is updated yearly, averaging 7.800 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 9.500 % in 2009 and a record low of 6.400 % in 2007. Ukraine Unemployment: Period: 10 to 12 Months data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.G012: Unemployment.

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. The NSS 66th. round carried out during July'2009 - June'2010 was the eighth quinquennial round in the series covering subjects of (i) Household Consumer Expenditure and (ii) Employment and Unemployment.

Field work of the survey is carried out by the Field Operation Division ( FOD ) of National Sample Survey Office ( NSSO ) in which the central samples are covered. most of the State Governments also participate in the survey on matching sample size basis.

The National Sample Survey Office (NSSO) during the period July 2009 - June 2010 carried out an all-India household survey on the subject of employment and unemployment in India as a part of 66th round of its survey programme. In this survey, the nation-wide enquiry was conducted to generate estimates of various characteristics pertaining to employment and unemployment and labour force characteristics 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) adopting the established concepts, definitions and procedures. Based on the data collected during the entire period of survey, estimates of some key employment-unemployment characteristics in India and States have been presented in the NSSO published report number NSS KI (66/10) on Key Indicators of Employment and Unemployment July'2009 - June'2010 ( 66th Round).

The main objective of the employment-unemployment surveys conducted by NSSO at periodic interval is to get estimates of level parameters of various employment and unemployment characteristics at national and State level. These statistical indicators on labour market are required for planning, policy and decision making at various levels, both within the government and outside. The critical issues in the context of labour force enquiries pertain to defining the labour force and measuring participation of labour force in different economic activities. The activity participation of the people is not only dynamic but also multidimensional: it varies with region, age, education, gender, level of living, industry and occupational category. These aspects of the labour force are captured in detail in the NSS survey on employment and unemployment and estimates are generated for labour force participation rate, worker population ratio, unemployment rate, wages of employees, etc. The indicators of the structural aspects of the workforce such as status in employment, industrial distribution and occupational distribution are also derived from the survey. Besides, from the data collected on the particulars of enterprises and conditions of employment, the aspects of employment in the informal sector and informal employment are reflected through the conceptual framework of the survey.

Geographic coverage

The survey covered the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remained inaccessible throughout the year. However, all the sample first stage units of both rural and urban areas of Leh, Kargil and Poonch districts of Jammu & Kashmir became casualty and therefore these districts were outside the survey coverage.

Analysis unit

Households and persons

Universe

Households and members of the household

Kind of data

Sample survey data [ssd]

Sampling procedure

The 66th round (July 2009-June 2010) of NSS was earmarked for survey on 'Household Consumer Expenditure' and 'Employment and Unemployment'. The survey covered the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year. All the sample first stage units of both rural and urban areas of Leh, Kargil and Poonch districts of Jammu & Kashmir became casualty and therefore these districts were outside the survey coverage. In addition to these, all the sample first stage units of the following areas were casualty in different sub-rounds: (i) in sub-rounds 1, 2, and 4, both rural and urban areas of Rajouri district of Jammu & Kashmir, (ii) in sub-round 2, urban areas of Lakhisarai district of Bihar, (iii) in sub-round 3, rural areas of Doda district of Jammu & Kashmir. The estimates of the different sub-rounds, therefore, excluded these areas. The period of survey was of one year duration starting on 1st July 2009 and ending on 30th June 2010. The survey period of this round was divided into four sub-rounds of three months' duration each, the 1st sub-round period ranging from July to September 2009, the 2nd sub-round period from October to December 2009 and so on. In each of these four sub-rounds equal number of sample villages/ blocks (FSUs) were allotted for survey with a view to ensuring uniform spread of sample FSUs over the entire survey period. Sample Design A stratified multi-stage design was adopted for the 66th round survey. The first stage units (FSU) were the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. In addition, two non-UFS towns of Leh and Kargil of Jammu & Kashmir were also treated as FSUs in the urban sector. The ultimate stage units (USU) were households in both the sectors. Hamlet-groups/sub-blocks constituted the intermediate stage whenever these were formed in the sample FSUs.

Selection of the first-stage units: The various steps involved before making the selection of the FSUs are discussed at length in the following few paragraphs before taking up the issue of selection of USUs within FSUs.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (Panchayat wards in case of Kerala) constituted the sampling frame. For the urban sector, the list of latest available UFS blocks constituted the sampling frame. For non-UFS towns, frame consisted of the individual towns (only two towns, viz., Leh & Kargil constituted this frame).

Stratification of the first stage units: Within each district of a State/ UT, two basic strata were formed as follows: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district.

However, within the urban areas of a district, if there were one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum.

Sub-stratification: There was no sub-stratification in the urban sector. However, to net adequate number of child workers, for all rural strata, each stratum was divided into 2 sub-strata as follows:

sub-stratum 1: all villages with proportion of child workers (p) >2P (where P is the average proportion of child workers for the sate/ UT as per Census 2001)

sub-stratum 2: remaining villages

Allocation of FSU's among Strata: At the all-India level, a total number of 12784 FSUs were allocated for survey in the central sample. In addition, 24 State sample FSUs (16 for rural sector and 8 for urban sector) of Leh and Kargil districts of J & K were included in the central sample. The total number of sample FSUs was allocated to the States and UTs in proportion to population as per census 2001 subject to the availability of investigators and ensuring minimum sample allocation to each State/ UT. The State/ UT level sample size was allocated between two sectors in proportion to population as per census 2001 with double weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu, etc. did not exceed the rural sample size. A minimum of 16 FSUs (to the extent possible) was allocated to each state/ UT separately for rural and urban areas. Further the State level allocations for both rural and urban areas were adjusted marginally in a few cases to ensure that each stratum/ sub-stratum got a minimum allocation of 4 FSUs. Within each sector of a State/UT, the respective sample size was allocated to the different strata/ sub-strata in proportion to the population as per census 2001. Allocations at stratum/ sub-stratum level were adjusted to multiples of 4 with a minimum sample size of 4 and equal number of samples was allocated among the four sub rounds.

Selection of first-stage units: For the rural sector, from each stratum/ sub-stratum, required number of sample villages were selected by probability proportional to size with replacement (PPSWR), size being the population of the village as per Census 2001. For urban sector, from each stratum FSUs were selected by using Simple Random Sampling Without Replacement (SRSWOR). Both rural and urban samples were drawn in the form of two independent sub-samples.

Selection of Ultimate Stage Units (USU) within a FSU: The remaining paragraphs of this sub-section outlines the various steps leading to the actual selection of USUs within a FSU.

Selection of hamlet-groups/sub-blocks: Selected FSUs with approximate population 1200 or more were divided into a suitable number (say, D) of 'hamlet-groups' in

United States Unemployment Insurance: Jobless Claims: Continued data was reported at 1,452.633 Person th in 10 Nov 2018. This records an increase from the previous number of 1,436.608 Person th for 03 Nov 2018. United States Unemployment Insurance: Jobless Claims: Continued data is updated weekly, averaging 2,541.000 Person th from Jan 1967 (Median) to 10 Nov 2018, with 2706 observations. The data reached an all-time high of 6,451.690 Person th in 28 Mar 2009 and a record low of 785.000 Person th in 28 Sep 1968. United States Unemployment Insurance: Jobless Claims: Continued data remains active status in CEIC and is reported by US Department of Labor. The data is categorized under Global Database’s United States – Table US.G059: Unemployment Insurance: Jobless Claims.