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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 20-24 yrs. Male: NSA (Thousands)
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 2003 02  9879·
 2003 01  3197·
 2002 12 6975·
 2002 11 2182.
 2002 10 2059.
 2002 09 173·
 2002 08 178.
 2002 07 8761.
 2002 06 855.
 2002 05 6978.
 2002 04 3451.
 2002 03 5357·
 2002 02 1488.
 2002 01 1781·
 2001 12  8059.
 2001 11  6175·
 2001 10  1165.
 2001 09  5263.
 2001 08  7838.
 2001 07  8152.
 2001 06  168·
 2001 05  681·
 2001 04  9147.
 2001 03  743.
 2001 02  846·
 2001 01  3471·
 2000 12 653·
 2000 11 5864.
 2000 10 8432.
 2000 09 1944·
 2000 08 3752·
 2000 07 7933.
 2000 06 456.
 2000 05 6882·
 2000 04 2132·
 2000 03 3857·
 2000 02 6864·
 2000 01 1141.
 1999 12  2150.
 1999 11  2947·
 1999 10  141·
 1999 09  639.
 1999 08  2535·
 1999 07  7337·
 1999 06  5450.
 1999 05  3445.
 1999 04  4640·
 1999 03  1363.
 1999 02  270.
 1999 01  235·
 1998 12 2151.
 1998 11 1753.
 1998 10 4648·
 1998 09 4222.
 1998 08 1546·
 1998 07 8163·
 1998 06 1130.
 1998 05 1041·
 1998 04 1454.
 1998 03 2347·
 1998 02 4837·
 1998 01 8740·
 1997 12  3256.
 1997 11  8850·
 1997 10  3123·
 1997 09  8137.
 1997 08  542·
 1997 07  4449.
 1997 06  6145.
 1997 05  2343·
 1997 04  9955.
 1997 03  8648·
 1997 02  6467.
 1997 01  7030·
 1996 12 9948.
 1996 11 3360·
 1996 10 9063.
 1996 09 349·
 1996 08 1956·
 1996 07 2934·
 1996 06 1453·
 1996 05 2933.
 1996 04 9861.
 1996 03 4378·
 1996 02 3865.
 1996 01 8052·
 1995 12  9726.
 1995 11  7030·
 1995 10  8555.
 1995 09  1267.
 1995 08  572·
 1995 07  2852.
 1995 06  748·
 1995 05  776.
 1995 04  3457·
 1995 03  6141·
 1995 02  7844·
 1995 01  7277·
 1994 12 2352·
 1994 11 4032·
 1994 10 038·
 1994 09 3740·
 1994 08 3542.
 1994 07 5765·
 1994 06 9851·
 1994 05 6127.
 1994 04 5750·
 1994 03 3267·
 1994 02 2270·
 1994 01 2463.
 1993 12  156.
 1993 11  1067·
 1993 10  4766.
 1993 09  3368.
 1993 08  778·
 1993 07  5866·
 1993 06  7582.
 1993 05  2051.
 1993 04  3770·
 1993 03  7390·
 1993 02  2990.
 1993 01  4188.
 1992 12 7987·
 1992 11 7285·
 1992 10 6198.
 1992 09 7947·
 1992 08 4599·
 1992 07 99117·
 1992 06 4790.
 1992 05 39107.
 1992 04 7580·
 1992 03 2572.
 1992 02 8572.
 1992 01 53108·
 1991 12  29100.
 1991 11  4281.
 1991 10  399·
 1991 09  7992.
 1991 08  97117·
 1991 07  7186.
 1991 06  50100·
 1991 05  9788·
 1991 04  92102·
 1991 03  55115.
 1991 02  1127.
 1991 01  1498.
 1990 12 50104.
 1990 11 63110·
 1990 10 5771.
 1990 09 6255·
 1990 08 3689.
 1990 07 9087·
 1990 06 4478.
 1990 05 9871·
 1990 04 3656·
 1990 03 5597·
 1990 02 1277.
 1990 01 379.
 1989 12  6569.
 1989 11  273.
 1989 10  3577.
 1989 09  8356·
 1989 08  5978.
 1989 07  9984·
 1989 06  1690.
 1989 05  7163·
 1989 04  8264.
 1989 03  4269·
 1989 02  7885.
 1989 01  2498·
 1988 12 2171.
 1988 11 4974.
 1988 10 7366·
 1988 09 2290·
 1988 08 9070.
 1988 07 6587·
 1988 06 7563.
 1988 05 7281·
 1988 04 2687.
 1988 03 5895.
 1988 02 8675.
 1988 01 673.
 1987 12  9279.
 1987 11  2278·
 1987 10  3088.
 1987 09  8177.
 1987 08  7789·
 1987 07  7879.
 1987 06  5880.
 1987 05  7874·
 1987 04  9252·
 1987 03  6967·
 1987 02  4566.
 1987 01  573·
 1986 12 7767.
 1986 11 6365·
 1986 10 9280.
 1986 09 9172.
 1986 08 9385·
 1986 07 5699·
 1986 06 2456.
 1986 05 9580.
 1986 04 2883.
 1986 03 6785·
 1986 02 9279.
 1986 01 9879·
 1985 12  9787.
 1985 11  3991·
 1985 10  7088·
 1985 09  776·
 1985 08  3582.
 1985 07  4160.
 1985 06  6077·
 1985 05  5286.
 1985 04  793·
 1985 03  6975.
 1985 02  8667.
 1985 01  9187·
 1984 12 1101·
 1984 11 4075.
 1984 10 074·
 1984 09 681·
 1984 08 28102.
 1984 07 072.
 1984 06 7586.
 1984 05 385.
 1984 04 2777.
 1984 03 1763.
 1984 02 1499.
 1984 01 13111.
 1983 12  6297·
 1983 11  8584.
 1983 10  4185.
 1983 09  9483.
 1983 08  1970.
 1983 07  2481·
 1983 06  694.
 1983 05  27110·
 1983 04  1197·
 1983 03  7778·
 1983 02  86120.
 1983 01  18121.
 1982 12 7880·
 1982 11 1579.
 1982 10 8063.
 1982 09 0142.
 1982 08 80119.
 1982 07 30105·
 1982 06 13117·
 1982 05 29113·
 1982 04 7114.
 1982 03 42108·
 1982 02 37113.
 1982 01 8667·
 1981 12  72103·
 1981 11  9682.
 1981 10  2678.
 1981 09  7869.
 1981 08  11115.
 1981 07  60104·
 1981 06  8264·
 1981 05  3794.
 1981 04  8970·
 1981 03  28107·
 1981 02  28102·
 1981 01  20109.
 1980 12 9284·
 1980 11 2084.
 1980 10 1781.
 1980 09 895.
 1980 08 3489·
 1980 07 80111.
 1980 06 22129.
 1980 05 7105.
 1980 04 5370.
 1980 03 7789.
 1980 02 4590·
 1980 01 5091·
 1979 12  1289·
 1979 11  557.
 1979 10  1177.
 1979 09  9372.
 1979 08  98109.
 1979 07  8376·
 1979 06  7086.
 1979 05  1791·
 1979 04  2457.
 1979 03  5690.
 1979 02  9884·
 1979 01  3063.
 1978 12 2873·
 1978 11 9276·
 1978 10 9561.
 1978 09 6365·
 1978 08 7475·
 1978 07 8669·
 1978 06 8779·
 1978 05 7361.
 1978 04 4959·
 1978 03 5698.
 1978 02 2355·
 1978 01 4068·
 1977 12  6662.
 1977 11  4847·
 1977 10  7953·
 1977 09  7360.
 1977 08  6242.
 1977 07  2945.
 1977 06  5777·
 1977 05  279·
 1977 04  136·
 1977 03  9550·
 1977 02  8075·
 1977 01  8466.
 1976 12 7142.
 1976 11 6453.
 1976 10 9983·
 1976 09 177.
 1976 08 8477·
 1976 07 8156·
 1976 06 9180·
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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.
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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 30-34 hours 20-24 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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