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 Series Title: Number At work part-time, usually PT Economicreasons 30-34 hrs 65 yrs. & over 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  29
 2003 01  115·
 2002 12 18
 2002 11 53
 2002 10 422·
 2002 09 145.
 2002 08 04.
 2002 07 615.
 2002 06 393·
 2002 05 335.
 2002 04 12.
 2002 03 8713.
 2002 02 7312.
 2002 01 5217.
 2001 12  358.
 2001 11  755·
 2001 10  1717·
 2001 09  765·
 2001 08  408.
 2001 07  93
 2001 06  721.
 2001 05  372·
 2001 04  775·
 2001 02  366.
 2001 01  64
 2000 12 923.
 2000 11 362·
 2000 10 241.
 2000 09 431·
 2000 08 224.
 2000 05 296.
 2000 04 993.
 2000 03 842.
 2000 02 352.
 1999 12  945.
 1999 11  312·
 1999 10  892·
 1999 09  6111·
 1999 07  944·
 1999 06  155·
 1999 05  811·
 1999 04  5710·
 1999 03  178·
 1999 02  704·
 1998 11 123.
 1998 10 65·
 1998 07 752·
 1998 06 392·
 1998 05 572.
 1998 04 1310.
 1998 03 77·
 1998 02 923·
 1998 01 173.
 1997 11  101·
 1997 09  75
 1997 08  223.
 1997 06  168.
 1997 05  546·
 1997 04  680·
 1997 03  501·
 1997 02  6
 1997 01  27
 1996 12 985.
 1996 11 202·
 1996 10 613.
 1996 08 350.
 1996 07 32·
 1996 06 994·
 1996 05 814·
 1996 04 101·
 1996 03 4611.
 1996 02 839·
 1996 01 941.
 1995 12  84.
 1995 11  159.
 1995 10  917.
 1995 09  482·
 1995 08  115.
 1995 07  236.
 1995 06  674·
 1995 05  195.
 1995 03  261·
 1995 02  82·
 1995 01  7910.
 1994 12 79·
 1994 11 851.
 1994 10 323·
 1994 09 232.
 1994 08 39
 1994 07 431.
 1994 06 832.
 1994 05 176.
 1994 04 644·
 1994 03 846.
 1994 01 753·
 1993 12  513·
 1993 11  5715.
 1993 10  1220·
 1993 09  459.
 1993 08  575·
 1993 07  208.
 1993 06  6016·
 1993 05  5716·
 1993 04  666·
 1993 03  773·
 1993 02  866.
 1993 01  978·
 1992 12 526·
 1992 11 798·
 1992 10 693.
 1992 09 7915·
 1992 08 598·
 1992 07 16.
 1992 06 179.
 1992 05 4112·
 1992 04 5613.
 1992 03 447.
 1992 02 62
 1992 01 466·
 1991 12  385.
 1991 11  3213·
 1991 10  5914·
 1991 09  8212.
 1991 08  2210.
 1991 07  187·
 1991 06  9211·
 1991 05  604·
 1991 04  5510·
 1991 03  759.
 1991 02  66
 1991 01  216.
 1990 12 312·
 1990 11 46.
 1990 10 134.
 1990 09 255·
 1990 08 637.
 1990 07 312.
 1990 06 905.
 1990 05 624.
 1990 04 534·
 1990 03 68·
 1990 02 785.
 1990 01 442.
 1989 12  164.
 1989 11  41·
 1989 10  8510·
 1989 09  89.
 1989 08  23
 1989 07  266.
 1989 06  4010·
 1989 05  193·
 1989 04  6711.
 1989 03  975.
 1989 02  34·
 1989 01  633.
 1988 12 6815.
 1988 11 6714·
 1988 10 5310.
 1988 09 5413.
 1988 08 6918.
 1988 07 1311.
 1988 06 9712.
 1988 05 293.
 1988 04 40
 1988 03 349.
 1988 02 685.
 1988 01 5215·
 1987 12  758·
 1987 11  5510·
 1987 10  229.
 1987 09  106.
 1987 07  924·
 1987 06  2813.
 1987 05  402.
 1987 04  165·
 1987 03  3718.
 1987 02  279·
 1987 01  2910.
 1986 12 913·
 1986 11 796.
 1986 10 534·
 1986 09 216.
 1986 08 50
 1986 07 115·
 1986 06 321.
 1986 05 737.
 1986 04 28
 1986 03 527.
 1986 02 138.
 1986 01 656.
 1985 12  568·
 1985 11  477·
 1985 10  7211·
 1985 09  54.
 1985 08  717·
 1985 07  65
 1985 06  9
 1985 05  25
 1985 04  375.
 1985 03  11·
 1985 02  518·
 1985 01  807.
 1984 12 412·
 1984 11 72
 1984 10 466.
 1984 09 5328.
 1984 08 975.
 1984 07 237·
 1984 06 715.
 1984 05 512·
 1984 04 427.
 1984 03 243.
 1984 02 276·
 1984 01 46·
 1983 12  398·
 1983 11  6910·
 1983 10  3710·
 1983 09  704.
 1983 08  762.
 1983 07  76
 1983 06  545·
 1983 05  308.
 1983 04  6610·
 1983 02  9014·
 1983 01  5111.
 1982 12 905.
 1982 11 465.
 1982 10 8110.
 1982 09 30
 1982 08 838.
 1982 07 80
 1982 06 415.
 1982 05 178.
 1982 04 669.
 1982 03 564.
 1982 02 915.
 1982 01 603.
 1981 12  196·
 1981 10  867·
 1981 09  744.
 1981 08  3610.
 1981 07  497.
 1981 06  94.
 1981 05  595·
 1981 04  465.
 1981 03  893·
 1981 02  867·
 1981 01  427·
 1980 12 14
 1980 11 944.
 1980 10 77.
 1980 08 405·
 1980 07 906.
 1980 06 469·
 1980 05 842.
 1980 04 981·
 1980 03 526·
 1980 02 52
 1980 01 543.
 1979 12  856.
 1979 11  977·
 1979 10  4410.
 1979 09  825.
 1979 08  967·
 1979 07  536.
 1979 06  7811·
 1979 05  549·
 1979 04  498.
 1979 03  704·
 1979 02  369.
 1979 01  83
 1978 12 884.
 1978 11 225.
 1978 10 2512·
 1978 09 88.
 1978 08 845.
 1978 07 106.
 1978 06 757.
 1978 05 9212.
 1978 04 295.
 1978 03 614·
 1978 02 4410.
 1978 01 21
 1977 12  438.
 1977 11  2310·
 1977 10  146.
 1977 09  104·
 1977 08  70
 1977 07  734.
 1977 06  910·
 1977 05  960.
 1977 04  794.
 1977 03  102·
 1977 02  77.
 1977 01  410.
 1976 12 651.
 1976 11 615.
 1976 10 182.
 1976 09 352.
 1976 08 473·
 1976 06 75
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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 part-time, usually PT Economicreasons 30-34 hrs 65 yrs. & over 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

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