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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 15-29 hours: NSA (Thousands)
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 2003 02  63819·
 2003 01  52747.
 2002 12 25724.
 2002 11 71633.
 2002 10 5551.
 2002 09 44596.
 2002 08 5720·
 2002 07 37710.
 2002 06 70638·
 2002 05 90618.
 2002 04 42564·
 2002 03 58647.
 2002 02 8728·
 2002 01 72848·
 2001 12  49717·
 2001 11  79661.
 2001 10  94652.
 2001 09  97728.
 2001 08  64631.
 2001 07  67686.
 2001 06  28661·
 2001 05  97546.
 2001 04  50481·
 2001 03  18572.
 2001 02  37596.
 2001 01  29777.
 2000 12 95617·
 2000 11 50638.
 2000 10 71489·
 2000 09 73523·
 2000 08 11536.
 2000 07 8586.
 2000 06 4563.
 2000 05 37551·
 2000 04 37521.
 2000 03 60606.
 2000 02 38561.
 2000 01 51653.
 1999 12  35569·
 1999 11  2489.
 1999 10  98382·
 1999 09  74396.
 1999 08  93542·
 1999 07  51614·
 1999 06  33619·
 1999 05  87569.
 1999 04  25508·
 1999 03  53554·
 1999 02  20587·
 1999 01  95680·
 1998 12 67568.
 1998 11 76480·
 1998 10 59451·
 1998 09 31437.
 1998 08 84595·
 1998 07 15666.
 1998 06 76706·
 1998 05 52571·
 1998 04 63561·
 1998 03 88635.
 1998 02 19635.
 1998 01 38721·
 1997 12  16648·
 1997 11  40565·
 1997 10  66467.
 1997 09  98452·
 1997 08  82615.
 1997 07  39607·
 1997 06  17630.
 1997 05  61574.
 1997 04  23615.
 1997 03  81672.
 1997 02  96659.
 1997 01  86743.
 1996 12 28667·
 1996 11 84612.
 1996 10 55486.
 1996 09 53546·
 1996 08 9726·
 1996 07 92646·
 1996 06 68703.
 1996 05 70601.
 1996 04 4663·
 1996 03 75653.
 1996 02 36659.
 1996 01 67639·
 1995 12  76695.
 1995 11  26633.
 1995 10  84561·
 1995 09  2552·
 1995 08  14722·
 1995 07  65680.
 1995 06  64675.
 1995 05  56585.
 1995 04  29541·
 1995 03  36543.
 1995 02  49608.
 1995 01  36718.
 1994 12 60675.
 1994 11 8642·
 1994 10 41514.
 1994 09 73509·
 1994 08 69632·
 1994 07 75566·
 1994 06 65657·
 1994 05 25654.
 1994 04 45528·
 1994 03 56598·
 1994 02 72664.
 1994 01 72802.
 1993 12  1901·
 1993 11  96817·
 1993 10  36750·
 1993 09  21874·
 1993 08  74945.
 1993 07  63840·
 1993 06  58900·
 1993 05  5857·
 1993 04  27881·
 1993 03  52911.
 1993 02  641044.
 1993 01  79959.
 1992 12 48887·
 1992 11 82831.
 1992 10 3759.
 1992 09 25749·
 1992 08 50907.
 1992 07 96854·
 1992 06 52865·
 1992 05 51808·
 1992 04 71906·
 1992 03 65893.
 1992 02 111043·
 1992 01 871027.
 1991 12  74898.
 1991 11  83894.
 1991 10  5932.
 1991 09  90914.
 1991 08  46859·
 1991 07  67887·
 1991 06  84945.
 1991 05  42834·
 1991 04  1887·
 1991 03  63967·
 1991 02  241094.
 1991 01  501132.
 1990 12 77884·
 1990 11 40885.
 1990 10 26783.
 1990 09 44750·
 1990 08 35934.
 1990 07 92781.
 1990 06 14804.
 1990 05 83765.
 1990 04 65743·
 1990 03 38728·
 1990 02 39792.
 1990 01 47875.
 1989 12  79797.
 1989 11  22714.
 1989 10  77648·
 1989 09  43690.
 1989 08  16798·
 1989 07  13859·
 1989 06  27729.
 1989 05  3645.
 1989 04  37685·
 1989 03  5720.
 1989 02  15714.
 1989 01  83833.
 1988 12 30821.
 1988 11 18722·
 1988 10 93619·
 1988 09 65720·
 1988 08 10764·
 1988 07 96791.
 1988 06 34756.
 1988 05 55657.
 1988 04 13651·
 1988 03 7727·
 1988 02 39778.
 1988 01 86842.
 1987 12  2746·
 1987 11  47678·
 1987 10  35637.
 1987 09  14702.
 1987 08  66721.
 1987 07  33767.
 1987 06  70784·
 1987 05  20712·
 1987 04  17709·
 1987 03  11659.
 1987 02  21803.
 1987 01  12934·
 1986 12 93759.
 1986 11 49743·
 1986 10 88731·
 1986 09 20711·
 1986 08 57728.
 1986 07 42752.
 1986 06 97767·
 1986 05 2730·
 1986 04 98788·
 1986 03 8730·
 1986 02 97688·
 1986 01 39708·
 1985 12  26713·
 1985 11  93687·
 1985 10  64633.
 1985 09  38728·
 1985 08  82795.
 1985 07  64741·
 1985 06  99805.
 1985 05  30742.
 1985 04  27785.
 1985 03  16786·
 1985 02  26687.
 1985 01  72847.
 1984 12 50687.
 1984 11 68688·
 1984 10 97667·
 1984 09 46694·
 1984 08 63757·
 1984 07 65720·
 1984 06 87847.
 1984 05 58695·
 1984 04 4700·
 1984 03 75673.
 1984 02 96724·
 1984 01 40879·
 1983 12  37745·
 1983 11  93812·
 1983 10  49711·
 1983 09  48810.
 1983 08  48883·
 1983 07  38824·
 1983 06  97797·
 1983 05  65710·
 1983 04  51794.
 1983 03  54841·
 1983 02  15930.
 1983 01  971000·
 1982 12 85944·
 1982 11 10942.
 1982 10 4957.
 1982 09 75967.
 1982 08 11979·
 1982 07 99941.
 1982 06 891044·
 1982 05 57942.
 1982 04 17901·
 1982 03 431017.
 1982 02 20981·
 1982 01 23870·
 1981 12  171000·
 1981 11  84873.
 1981 10  73802.
 1981 09  81794·
 1981 08  48877·
 1981 07  91815·
 1981 06  48810·
 1981 05  61806·
 1981 04  74782.
 1981 03  59712·
 1981 02  71874·
 1981 01  22859.
 1980 12 82705.
 1980 11 7787·
 1980 10 92669·
 1980 09 44792.
 1980 08 85906.
 1980 07 79904·
 1980 06 86971.
 1980 05 33898.
 1980 04 20854.
 1980 03 45728.
 1980 02 54683.
 1980 01 23826·
 1979 12  52753.
 1979 11  98702.
 1979 10  22613·
 1979 09  69589·
 1979 08  67763·
 1979 07  57649·
 1979 06  38793.
 1979 05  52554·
 1979 04  79617.
 1979 03  66603.
 1979 02  80614·
 1979 01  81692·
 1978 12 26619.
 1978 11 96662.
 1978 10 47574·
 1978 09 85648.
 1978 08 70753·
 1978 07 39653·
 1978 06 65774·
 1978 05 22635.
 1978 04 99659·
 1978 03 16620·
 1978 02 83603.
 1978 01 74626·
 1977 12  26608.
 1977 11  70605.
 1977 10  79584·
 1977 09  47600·
 1977 08  89677.
 1977 07  70712·
 1977 06  51696·
 1977 05  72565·
 1977 04  52568·
 1977 03  10671.
 1977 02  25757.
 1977 01  7684.
 1976 12 1683·
 1976 11 10632.
 1976 10 52672.
 1976 09 34622.
 1976 08 50725.
 1976 07 14633·
 1976 06 8720·
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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

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      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 part-time, usually work full-timeEconomic reasons 15-29 hours: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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