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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-19 yrs.: NSA (Thousands)
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 2003 02  6671.
 2003 01  6655·
 2002 12 962·
 2002 11 35101.
 2002 10 889.
 2002 09 9484·
 2002 08 6357.
 2002 07 13138·
 2002 06 22127.
 2002 05 2780.
 2002 04 2452·
 2002 03 9553.
 2002 02 5968·
 2002 01 4646.
 2001 12  686·
 2001 11  2796·
 2001 10  9485.
 2001 09  5885.
 2001 08  4585·
 2001 07  78118.
 2001 06  28122.
 2001 05  9553·
 2001 04  553·
 2001 03  4062·
 2001 02  8673.
 2001 01  1364.
 2000 12 7455·
 2000 11 3433.
 2000 10 1989.
 2000 09 9461.
 2000 08 6573·
 2000 07 3114.
 2000 06 1130·
 2000 05 4489·
 2000 04 1559.
 2000 03 1855.
 2000 02 3465·
 2000 01 9660·
 1999 12  8758·
 1999 11  7149.
 1999 10  4343.
 1999 09  566.
 1999 08  7073.
 1999 07  82166.
 1999 06  78100·
 1999 05  5452.
 1999 04  7552.
 1999 03  9651.
 1999 02  1469·
 1999 01  5074.
 1998 12 4262·
 1998 11 8065·
 1998 10 5276·
 1998 09 2245.
 1998 08 3387.
 1998 07 31160.
 1998 06 1899·
 1998 05 3078.
 1998 04 3646·
 1998 03 6591·
 1998 02 6170.
 1998 01 5352·
 1997 12  6379·
 1997 11  2972.
 1997 10  5776.
 1997 09  9966·
 1997 08  53105·
 1997 07  90156.
 1997 06  7124·
 1997 05  061.
 1997 04  6961·
 1997 03  4468·
 1997 02  3587.
 1997 01  1155·
 1996 12 9844.
 1996 11 837.
 1996 10 9355·
 1996 09 1566.
 1996 08 53109.
 1996 07 28198·
 1996 06 55126.
 1996 05 1851·
 1996 04 7255·
 1996 03 7339·
 1996 02 2381.
 1996 01 5233.
 1995 12  1969.
 1995 11  3674·
 1995 10  2070.
 1995 09  7482.
 1995 08  81113·
 1995 07  36187.
 1995 06  99147.
 1995 05  6472·
 1995 04  7080·
 1995 03  1970.
 1995 02  3494·
 1995 01  3179·
 1994 12 2580·
 1994 11 5284.
 1994 10 2577.
 1994 09 558.
 1994 08 9141.
 1994 07 31185·
 1994 06 98168·
 1994 05 4362·
 1994 04 962.
 1994 03 7468·
 1994 02 486.
 1994 01 2766·
 1993 12  3993·
 1993 11  2669·
 1993 10  17105·
 1993 09  63105·
 1993 08  36252·
 1993 07  55329.
 1993 06  39164.
 1993 05  8490.
 1993 04  6361·
 1993 03  5575·
 1993 02  94100·
 1993 01  4586.
 1992 12 9105·
 1992 11 4797·
 1992 10 32108·
 1992 09 28122·
 1992 08 85279·
 1992 07 73239.
 1992 06 31186·
 1992 05 40102·
 1992 04 3087·
 1992 03 463.
 1992 02 8966·
 1992 01 1366.
 1991 12  785.
 1991 11  3386.
 1991 10  3277·
 1991 09  3120.
 1991 08  4173·
 1991 07  79272.
 1991 06  10179.
 1991 05  91103·
 1991 04  3381·
 1991 03  8783.
 1991 02  093.
 1991 01  8687.
 1990 12 3364.
 1990 11 2696.
 1990 10 087.
 1990 09 17100·
 1990 08 66178·
 1990 07 89323·
 1990 06 37210.
 1990 05 4280·
 1990 04 2095.
 1990 03 9787.
 1990 02 6262·
 1990 01 4394.
 1989 12  869·
 1989 11  9281·
 1989 10  4993·
 1989 09  26106·
 1989 08  68245.
 1989 07  45254.
 1989 06  98226·
 1989 05  2285·
 1989 04  6474·
 1989 03  4971·
 1989 02  3658.
 1989 01  8972·
 1988 12 8295·
 1988 11 2475·
 1988 10 1291.
 1988 09 895·
 1988 08 35270.
 1988 07 13334.
 1988 06 3228·
 1988 05 8583·
 1988 04 6265.
 1988 03 8668·
 1988 02 879.
 1988 01 5388·
 1987 12  26110.
 1987 11  3876·
 1987 10  52120·
 1987 09  6795·
 1987 08  14278·
 1987 07  86329.
 1987 06  87205·
 1987 05  1071.
 1987 04  3993.
 1987 03  7580.
 1987 02  8783·
 1987 01  8887.
 1986 12 4092·
 1986 11 7594.
 1986 10 53117·
 1986 09 3389.
 1986 08 78312·
 1986 07 80321·
 1986 06 11192·
 1986 05 2102.
 1986 04 4390·
 1986 03 879·
 1986 02 1088·
 1986 01 7682.
 1985 12  4697·
 1985 11  490·
 1985 10  27100.
 1985 09  61152.
 1985 08  26338.
 1985 07  37329.
 1985 06  61222·
 1985 05  90101·
 1985 04  4572.
 1985 03  183.
 1985 02  3781·
 1985 01  1982.
 1984 12 92114·
 1984 11 15103·
 1984 10 8109.
 1984 09 29114.
 1984 08 79272.
 1984 07 23377.
 1984 06 46265·
 1984 05 2897·
 1984 04 4598·
 1984 03 9595·
 1984 02 54108·
 1984 01 47104.
 1983 12  51113.
 1983 11  25108.
 1983 10  57106.
 1983 09  4284.
 1983 08  87285.
 1983 07  31389.
 1983 06  4278·
 1983 05  96124.
 1983 04  64105.
 1983 03  59120.
 1983 02  71115.
 1983 01  14133·
 1982 12 22134.
 1982 11 76142.
 1982 10 59130.
 1982 09 2980.
 1982 08 22307.
 1982 07 78344.
 1982 06 93167·
 1982 05 97105·
 1982 04 53111·
 1982 03 8380·
 1982 02 2479.
 1982 01 052·
 1981 12  27108.
 1981 11  3592.
 1981 10  26108.
 1981 09  45127·
 1981 08  82254·
 1981 07  5347·
 1981 06  1199.
 1981 05  6269·
 1981 04  8282.
 1981 03  8585·
 1981 02  7381.
 1981 01  972·
 1980 12 14108·
 1980 11 9499.
 1980 10 93108.
 1980 09 68109.
 1980 08 91249·
 1980 07 78288.
 1980 06 37162·
 1980 05 4476·
 1980 04 5168·
 1980 03 569·
 1980 02 453·
 1980 01 7167.
 1979 12  5754.
 1979 11  7069·
 1979 10  2065.
 1979 09  390.
 1979 08  97217·
 1979 07  91243.
 1979 06  36147.
 1979 05  2361·
 1979 04  8359·
 1979 03  1247.
 1979 02  2739.
 1979 01  3843.
 1978 12 5456.
 1978 11 359.
 1978 10 9377.
 1978 09 7984·
 1978 08 72238.
 1978 07 59270.
 1978 06 60176·
 1978 05 363·
 1978 04 2562·
 1978 03 9792·
 1978 02 7873·
 1978 01 9268.
 1977 12  2670.
 1977 11  6277.
 1977 10  2388·
 1977 09  5183.
 1977 08  14253.
 1977 07  24285.
 1977 06  94185.
 1977 05  1462.
 1977 04  5162·
 1977 03  7662·
 1977 02  1858·
 1977 01  3659·
 1976 12 2477·
 1976 11 3865.
 1976 10 4455·
 1976 09 9882·
 1976 08 47197·
 1976 07 53262·
 1976 06 48133.
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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 16-19 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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