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 Series Title: Number At Work 1-34 Hours, Usually Work Part Time Noneconomic Reasons: SA
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 2012 04 2318832·
 2012 03 1918523·
 2012 02 4118827.
 2012 01 1718636·
 2011 12  018372.
 2011 11  4218363·
 2011 10  018401·
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 2011 08  8718276.
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 2001 01  2318869·
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 1997 10  2318162.
 1997 09  517860·
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 1997 06  6718233.
 1997 05  5418231.
 1997 04  9718199.
 1997 03  1018164·
 1997 02  8518047.
 1997 01  1918190·
 1996 12 6517802.
 1996 11 718159.
 1996 10 6517776·
 1996 09 1917938.
 1996 08 6118210.
 1996 07 7117874·
 1996 06 2017889·
 1996 05 9817508·
 1996 04 5917751·
 1996 03 617794·
 1996 02 8817617·
 1996 01 2417317·
 1995 12  6117400.
 1995 11  4717442.
 1995 10  3017773·
 1995 09  9217935·
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 1995 05  2217730.
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 1994 12 6717789·
 1994 11 8517942.
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 1989 08  4815464.
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 1989 04  115464·
 1989 03  6115584.
 1989 02  7415181.
 1989 01  3415492.
 1988 12 4115334·
 1988 11 7615494·
 1988 10 615176·
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 1980 01 5013389·
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 1970 12 379862.
 1970 11 329906.
 1970 10 529935.
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 1970 01 9210082·
 1969 12  3410038.
 1969 11  99953.
 1969 10  459878·
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 1968 06 359188.
 1968 05 169141.
 1968 04 48681.
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 1968 02 338963.
 1968 01 968582.
 1967 12  909029.
 1967 11  498842.
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 1967 09  778701.
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 1967 07  798502.
 1967 06  418460.
 1967 05  768611.
 1967 04  478745.
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 1967 02  528767.
 1967 01  388694·
 1966 12 458489.
 1966 11 968655·
 1966 10 118316.
 1966 09 338280·
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 1966 03 928009.
 1966 02 457935·
 1966 01 208027·
 1965 12  908685.
 1965 11  908565.
 1965 10  228658·
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 1964 05 568328.
 1964 04 688263.
 1964 03 938077.
 1964 02 668066·
 1964 01 978012.
 1963 12  197719·
 1963 11  677851.
 1963 10  787895·
 1963 09  197965·
 1963 08  387897.
 1963 07  407915·
 1963 06  907706.
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 1963 04  727518.
 1963 03  937643.
 1963 02  167559·
 1963 01  17607.
 1962 12 997562·
 1962 11 337534.
 1962 10 947601·
 1962 09 767738.
 1962 08 197888.
 1962 07 917584·
 1962 06 877326·
 1962 05 577497·
 1962 04 567475.
 1962 03 247453.
 1962 02 827493·
 1962 01 637222.
 1961 12  627291.
 1961 11  147279.
 1961 10  927220.
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 1961 06  557159.
 1961 05  526906·
 1961 04  56898.
 1961 03  157120.
 1961 02  357165·
 1961 01  987070.
 1960 12 687101.
 1960 11 147192.
 1960 10 196914·
 1960 09 967015.
 1960 08 506439.
 1960 07 476920.
 1960 06 196878.
 1960 05 916905.
 1960 04 286857.
 1960 03 206472.
 1960 02 756668.
 1960 01 506683·
 1959 12  27096.
 1959 11  646512·
 1959 10  486874·
 1959 09  686418.
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 1959 07  376505·
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 1959 05  656679.
 1959 04  636681·
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 1959 01  856587.
 1958 12 766336·
 1958 11 186486.
 1958 10 786400·
 1958 09 956384·
 1958 08 366307·
 1958 07 656235.
 1958 06 516193.
 1958 05 926182·
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 1958 02 316143·
 1958 01 946325·
 1957 12  246460.
 1957 11  546209·
 1957 10  316218·
 1957 09  446277.
 1957 08  786203·
 1957 07  856312.
 1957 06  896172·
 1957 05  136188·
 1957 04  316202·
 1957 03  406345·
 1957 02  686293.
 1957 01  956045·
 1956 12 86182·
 1956 11 776171.
 1956 10 556118·
 1956 09 76195.
 1956 08 596230·
 1956 07 776196.
 1956 06 646011.
 1956 05 966363.
 1956 04 616062·
 1956 03 465753·
 1956 02 335607·
 1956 01 295804.
 1955 12  125645.
 1955 11  165940.
 1955 10  245731.
 1955 09  15457·
 1955 08  405360.
 1955 07  445320.
 1955 06  265329·
 1955 05  315165.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number At Work 1-34 Hours, Usually Work Part Time Noneconomic Reasons: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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