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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  7857·
 2003 01  1953·
 2002 12 2262·
 2002 11 9435·
 2002 10 7039·
 2002 09 8447·
 2002 08 7441.
 2002 07 636.
 2002 06 2960.
 2002 05 4844·
 2002 04 2753·
 2002 03 1746.
 2002 02 545·
 2002 01 9140.
 2001 12  9444·
 2001 11  7045·
 2001 10  7226·
 2001 09  2246.
 2001 08  1250.
 2001 07  3544·
 2001 06  3242·
 2001 05  7039·
 2001 04  4541·
 2001 03  736·
 2001 02  1035.
 2001 01  9442·
 2000 12 8124.
 2000 11 337·
 2000 10 5720·
 2000 09 7518.
 2000 08 3225.
 2000 07 6937·
 2000 06 4724·
 2000 05 1826·
 2000 04 3629·
 2000 03 7436.
 2000 02 8135·
 2000 01 5741.
 1999 12  5648·
 1999 11  1127.
 1999 10  8424·
 1999 09  4736.
 1999 08  8116.
 1999 07  034.
 1999 06  721·
 1999 05  7125.
 1999 04  2225.
 1999 03  8430.
 1999 02  2633.
 1999 01  3425.
 1998 12 1844.
 1998 11 3422·
 1998 10 4035.
 1998 09 6926·
 1998 08 3225.
 1998 07 4341.
 1998 06 7642.
 1998 05 3239·
 1998 04 5135·
 1998 03 3133.
 1998 02 8231.
 1998 01 530.
 1997 12  8924.
 1997 11  4138.
 1997 10  3647.
 1997 09  9446.
 1997 08  8339·
 1997 07  4235·
 1997 06  3726·
 1997 05  3231.
 1997 04  9730·
 1997 03  3040.
 1997 02  1040.
 1997 01  7431.
 1996 12 1723·
 1996 11 2229·
 1996 10 634·
 1996 09 239·
 1996 08 5828·
 1996 07 6343.
 1996 06 139·
 1996 05 2427·
 1996 04 5743·
 1996 03 2358·
 1996 02 9447.
 1996 01 7035.
 1995 12  7626·
 1995 11  9533·
 1995 10  1239.
 1995 09  9742·
 1995 08  546·
 1995 07  9837.
 1995 06  436·
 1995 05  8723·
 1995 04  5437·
 1995 03  7755.
 1995 02  4659.
 1995 01  4745.
 1994 12 6448·
 1994 11 132·
 1994 10 3829.
 1994 09 854.
 1994 08 9538·
 1994 07 6353.
 1994 06 658·
 1994 05 2745·
 1994 04 3773·
 1994 03 8455·
 1994 02 042·
 1994 01 8646·
 1993 12  353.
 1993 11  755.
 1993 10  9649.
 1993 09  9038·
 1993 08  2942.
 1993 07  134·
 1993 06  9447·
 1993 05  7243·
 1993 04  7927.
 1993 03  6031.
 1993 02  1933.
 1993 01  8934·
 1992 12 4166.
 1992 11 471·
 1992 10 2151.
 1992 09 2230.
 1992 08 2841·
 1992 07 7747.
 1992 06 7757·
 1992 05 7750·
 1992 04 7753.
 1992 03 4869.
 1992 02 8637·
 1992 01 8735.
 1991 12  5238·
 1991 11  1145·
 1991 10  7331·
 1991 09  845.
 1991 08  4144·
 1991 07  8537.
 1991 06  9136·
 1991 05  2145.
 1991 04  5551·
 1991 03  1433·
 1991 02  1224·
 1991 01  3421·
 1990 12 3432·
 1990 11 6821·
 1990 10 3922·
 1990 09 7726·
 1990 08 4032·
 1990 07 4015·
 1990 06 9631.
 1990 05 832.
 1990 04 6147·
 1990 03 5036·
 1990 02 3428.
 1990 01 835·
 1989 12  1035.
 1989 11  4229.
 1989 10  2841.
 1989 09  8425·
 1989 08  2416.
 1989 07  8528.
 1989 06  7922·
 1989 05  6829.
 1989 04  6737.
 1989 03  7342·
 1989 02  1126·
 1989 01  1522·
 1988 12 2723.
 1988 11 2624.
 1988 10 7630·
 1988 09 813.
 1988 08 1623.
 1988 07 8631.
 1988 06 4928.
 1988 05 5434·
 1988 04 7347·
 1988 03 2538·
 1988 02 3030·
 1988 01 8429.
 1987 12  5933.
 1987 11  3533.
 1987 10  4440·
 1987 09  5424·
 1987 08  6432·
 1987 07  3612.
 1987 06  4328.
 1987 05  4631·
 1987 04  020.
 1987 03  7236·
 1987 02  021·
 1987 01  6831·
 1986 12 427·
 1986 11 1239·
 1986 10 1832·
 1986 09 5038.
 1986 08 4133·
 1986 07 5024·
 1986 06 2039·
 1986 05 4945·
 1986 04 9736.
 1986 03 636·
 1986 02 5835.
 1986 01 4828·
 1985 12  8521·
 1985 11  2331·
 1985 10  726·
 1985 09  5130·
 1985 08  4429.
 1985 07  7119·
 1985 06  6731·
 1985 05  9239.
 1985 04  3741·
 1985 03  4450.
 1985 02  6334·
 1985 01  2720·
 1984 12 5019·
 1984 11 6133·
 1984 10 4733·
 1984 09 3721·
 1984 08 9825·
 1984 07 6624.
 1984 06 9340.
 1984 05 2925.
 1984 04 1837.
 1984 03 2840·
 1984 02 236·
 1984 01 3419.
 1983 12  7218·
 1983 11  4125.
 1983 10  9924·
 1983 09  1147.
 1983 08  5055.
 1983 07  2532·
 1983 06  3528.
 1983 05  3947·
 1983 04  6331.
 1983 03  2431·
 1983 02  8540.
 1983 01  2530.
 1982 12 4927·
 1982 11 734·
 1982 10 4936.
 1982 09 249.
 1982 08 7248.
 1982 07 6740·
 1982 06 5342.
 1982 05 2637·
 1982 04 2025.
 1982 03 2537.
 1982 02 4736·
 1982 01 7920·
 1981 12  431.
 1981 11  2433.
 1981 10  724.
 1981 09  6617.
 1981 08  6411.
 1981 07  3317.
 1981 06  3216·
 1981 05  2116.
 1981 04  6219·
 1981 03  4717·
 1981 02  4910.
 1981 01  9926.
 1980 12 8627.
 1980 11 8420·
 1980 10 821·
 1980 09 8221.
 1980 08 4819·
 1980 07 9032.
 1980 06 8419.
 1980 05 7718.
 1980 04 8717.
 1980 03 325·
 1980 02 7710·
 1980 01 15
 1979 12  669·
 1979 11  512.
 1979 10  132·
 1979 09  5311.
 1979 08  7216·
 1979 07  299.
 1979 06  438·
 1979 05  7316.
 1979 04  1911.
 1979 03  4717.
 1979 02  4114·
 1979 01  8110·
 1978 12 447·
 1978 11 281.
 1978 10 817.
 1978 09 94.
 1978 08 109·
 1978 07 6712·
 1978 06 7016·
 1978 05 1412.
 1978 04 5
 1978 03 838·
 1978 02 7613.
 1978 01 779.
 1977 12  4213·
 1977 11  2020.
 1977 10  318.
 1977 09  516·
 1977 08  594.
 1977 07  4722.
 1977 06  5113·
 1977 05  2920.
 1977 04  1813·
 1977 03  5817.
 1977 02  4420·
 1977 01  79·
 1976 12 818·
 1976 11 7213.
 1976 10 345·
 1976 09 1910·
 1976 08 4215·
 1976 07 3422·
 1976 06 9622.
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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 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 part-time, usually work part-timeEconomic reasons 30-34 hours 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Want state personal income and/or population data?

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