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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-17 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  111.
 2003 01  125·
 2002 12 249·
 2002 11 297.
 2002 10 413·
 2002 09 762·
 2002 08 535.
 2002 07 1928·
 2002 06 527·
 2002 05 9625.
 2002 04 385.
 2002 03 648·
 2002 02 412.
 2002 01 526.
 2001 12  946.
 2001 11  713.
 2001 10  2518·
 2001 09  506·
 2001 08  5710·
 2001 07  1941.
 2001 06  5849.
 2001 05  2410·
 2001 04  927·
 2001 03  938.
 2001 02  663.
 2001 01  285·
 2000 12 858·
 2000 11 496.
 2000 10 989.
 2000 09 46
 2000 08 4915·
 2000 07 3028.
 2000 06 3034.
 2000 05 8311.
 2000 03 24
 2000 02 610.
 2000 01 628.
 1999 12  723.
 1999 11  7010.
 1999 10  719·
 1999 09  206.
 1999 08  6818·
 1999 07  7729.
 1999 06  4429·
 1999 05  545·
 1999 04  547·
 1999 03  574·
 1999 02  698.
 1999 01  39
 1998 12 357·
 1998 11 485.
 1998 10 166.
 1998 08 7717.
 1998 07 4552·
 1998 06 1315.
 1998 05 78
 1998 04 914.
 1998 03 39
 1998 02 4013·
 1998 01 747·
 1997 12  3411·
 1997 11  999.
 1997 10  4215.
 1997 09  5014.
 1997 08  7921·
 1997 07  3272·
 1997 06  5638.
 1997 05  7313·
 1997 04  2812·
 1997 03  695·
 1997 02  4610.
 1997 01  385.
 1996 12 66.
 1996 11 6713.
 1996 10 991.
 1996 09 643.
 1996 08 6324·
 1996 07 872·
 1996 06 2937.
 1996 05 961·
 1996 04 743.
 1996 03 983·
 1996 02 7210.
 1996 01 2
 1995 12  4111.
 1995 11  6811·
 1995 10  93
 1995 09  779·
 1995 08  8831.
 1995 07  7761.
 1995 06  7954·
 1995 05  399·
 1995 04  654·
 1995 03  4
 1995 02  425.
 1995 01  337·
 1994 12 494.
 1994 09 585.
 1994 08 2226·
 1994 07 2961.
 1994 06 4050·
 1994 05 6811·
 1994 04 803.
 1994 03 196·
 1994 02 6214.
 1994 01 935.
 1993 12  410·
 1993 11  242.
 1993 10  67
 1993 09  1416·
 1993 08  880·
 1993 07  87110.
 1993 06  3057·
 1993 05  3710·
 1993 04  295.
 1993 03  78
 1993 02  5016.
 1993 01  946.
 1992 12 316.
 1992 11 9012·
 1992 10 5510.
 1992 09 4119·
 1992 08 073·
 1992 07 4374.
 1992 06 9340·
 1992 05 615·
 1992 04 51
 1992 03 814.
 1992 02 409·
 1992 01 605·
 1991 12  208·
 1991 11  742.
 1991 10  979·
 1991 09  707.
 1991 08  7265.
 1991 07  1595·
 1991 06  9055.
 1991 05  462·
 1991 04  9313·
 1991 03  23
 1991 02  676·
 1991 01  72
 1990 12 9610·
 1990 11 4212.
 1990 10 611.
 1990 09 536·
 1990 08 2049.
 1990 07 43115·
 1990 06 650·
 1990 05 2112.
 1990 04 278·
 1990 03 189·
 1990 02 925·
 1990 01 339.
 1989 12  512·
 1989 11  8714.
 1989 10  1612.
 1989 09  7015·
 1989 08  68103.
 1989 07  94103·
 1989 06  5276.
 1989 05  4014.
 1989 04  5320·
 1989 03  9
 1989 02  16·
 1989 01  739.
 1988 12 226.
 1988 11 2412.
 1988 10 8813.
 1988 09 2614·
 1988 08 64107·
 1988 07 61148·
 1988 06 6395.
 1988 05 8211·
 1988 04 929.
 1988 03 6213.
 1988 02 3
 1988 01 464.
 1987 12  4318·
 1987 11  976·
 1987 10  715.
 1987 09  5011.
 1987 08  81119·
 1987 07  60147·
 1987 06  181·
 1987 05  517·
 1987 04  947.
 1987 03  7018·
 1987 02  356.
 1987 01  3110·
 1986 12 935·
 1986 11 7112·
 1986 10 8418.
 1986 09 967·
 1986 08 18100·
 1986 07 33145·
 1986 06 5059.
 1986 05 789.
 1986 04 309·
 1986 03 4910·
 1986 02 568.
 1986 01 336·
 1985 12  198.
 1985 11  395.
 1985 10  555·
 1985 09  4422.
 1985 08  96146·
 1985 07  46163.
 1985 06  2176·
 1985 05  1621·
 1985 04  014.
 1985 03  4112.
 1985 02  547·
 1985 01  813·
 1984 12 947·
 1984 11 179.
 1984 10 8016.
 1984 09 9725·
 1984 08 65120·
 1984 07 92179.
 1984 06 4986.
 1984 05 4414·
 1984 04 261.
 1984 03 13
 1984 01 375·
 1983 12  306.
 1983 11  1612.
 1983 10  4611.
 1983 08  44104.
 1983 07  85153·
 1983 06  9798.
 1983 05  8810·
 1983 04  966·
 1983 03  6712·
 1983 02  578·
 1983 01  5614.
 1982 12 4220.
 1982 11 5718·
 1982 10 917·
 1982 09 957·
 1982 08 59124.
 1982 07 63150.
 1982 06 9058.
 1982 05 7420.
 1982 04 4616.
 1982 03 14
 1982 02 657·
 1982 01 886.
 1981 12  3011.
 1981 11  697.
 1981 10  2014·
 1981 09  5416·
 1981 08  59117·
 1981 07  9168.
 1981 06  6875·
 1981 05  195.
 1981 04  1113·
 1981 03  4014.
 1981 02  4815.
 1981 01  4911.
 1980 12 8516.
 1980 11 9420.
 1980 10 2229·
 1980 09 4131.
 1980 08 698·
 1980 07 28146·
 1980 06 7873·
 1980 05 1327.
 1980 04 2516.
 1980 03 2310·
 1980 02 299.
 1980 01 810·
 1979 12  1811·
 1979 11  8622·
 1979 10  1419.
 1979 09  9729.
 1979 08  84113.
 1979 07  49120·
 1979 06  9464.
 1979 05  7311.
 1979 04  5013·
 1979 03  6910.
 1979 02  573.
 1979 01  565·
 1978 12 659·
 1978 11 2612·
 1978 10 1821.
 1978 09 8919·
 1978 08 5130·
 1978 07 27139.
 1978 06 1378.
 1978 05 4211.
 1978 04 719·
 1978 03 514.
 1978 02 514·
 1978 01 911·
 1977 12  8714.
 1977 11  1612·
 1977 10  8214·
 1977 09  914.
 1977 08  4134·
 1977 07  41154·
 1977 06  5865.
 1977 05  8613·
 1977 04  9812.
 1977 03  875.
 1977 02  70
 1977 01  98.
 1976 12 6820.
 1976 11 8611.
 1976 10 8116.
 1976 09 7327.
 1976 08 41109.
 1976 07 95138.
 1976 06 7849·
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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 work part-timeEconomic reasons 30-34 hours 16-17 yrs.: 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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