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 Series Title: Number At work part-time, usually work part-timeNoneconomic reasons 30-34 hours 16-19 yrs.: NSA (Thousands)
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 1976 06 95333·
 1976 07 92460.
 1976 08 76464·
 1976 09 18318.
 1976 10 14291.
 1976 11 61271.
 1976 12 60316.
 1977 01  40272.
 1977 02  11296·
 1977 03  41234·
 1977 04  58332.
 1977 05  73319.
 1977 06  37367.
 1977 07  14514.
 1977 08  82442.
 1977 09  62300.
 1977 10  68316.
 1977 11  86297.
 1977 12  70334.
 1978 01 75300.
 1978 02 5240.
 1978 03 89275.
 1978 04 85321.
 1978 05 7377·
 1978 06 71377·
 1978 07 79520·
 1978 08 16514.
 1978 09 76386·
 1978 10 18353·
 1978 11 39334·
 1978 12 74381·
 1979 01  27302.
 1979 02  22278·
 1979 03  74337·
 1979 04  98411.
 1979 05  30344·
 1979 06  82432.
 1979 07  17525.
 1979 08  50477.
 1979 09  77304·
 1979 10  24323.
 1979 11  24321·
 1979 12  19357.
 1980 01 89353·
 1980 02 98299.
 1980 03 76330.
 1980 04 18370·
 1980 05 9378.
 1980 06 80448.
 1980 07 81563·
 1980 08 83498.
 1980 09 7329.
 1980 10 70309.
 1980 11 70286·
 1980 12 80325.
 1981 01  76285.
 1981 02  94250·
 1981 03  0278.
 1981 04  94321.
 1981 05  37298·
 1981 06  2350·
 1981 07  52458.
 1981 08  39454.
 1981 09  32255·
 1981 10  69226.
 1981 11  33221·
 1981 12  53266·
 1982 01 31215.
 1982 02 96221.
 1982 03 74215.
 1982 04 98242·
 1982 05 29277·
 1982 06 7300.
 1982 07 33391·
 1982 08 64396.
 1982 09 44228.
 1982 10 55205·
 1982 11 90201·
 1982 12 62226·
 1983 01  21197.
 1983 02  13157.
 1983 03  54185·
 1983 04  30217.
 1983 05  28235.
 1983 06  82361·
 1983 07  54427·
 1983 08  32400·
 1983 09  60246.
 1983 10  88177·
 1983 11  48184.
 1983 12  55266·
 1984 01 36214·
 1984 02 81200·
 1984 03 17259·
 1984 04 12296·
 1984 05 1269·
 1984 06 37390.
 1984 07 69435·
 1984 08 41468·
 1984 09 22310·
 1984 10 55250·
 1984 11 34249·
 1984 12 5264·
 1985 01  95261·
 1985 02  62221·
 1985 03  69279·
 1985 04  92259.
 1985 05  39278.
 1985 06  7330.
 1985 07  57423.
 1985 08  14447·
 1985 09  97278.
 1985 10  66273.
 1985 11  3273·
 1985 12  10252.
 1986 01 39228·
 1986 02 39210.
 1986 03 39249.
 1986 04 42273·
 1986 05 59265.
 1986 06 53422.
 1986 07 22553·
 1986 08 99472·
 1986 09 76307.
 1986 10 56268.
 1986 11 34324·
 1986 12 93282·
 1987 01  34241·
 1987 02  25264.
 1987 03  81246·
 1987 04  62285·
 1987 05  3312.
 1987 06  60426.
 1987 07  95570.
 1987 08  70570.
 1987 09  76321.
 1987 10  87272·
 1987 11  32315·
 1987 12  3327·
 1988 01 73285·
 1988 02 55249.
 1988 03 75292.
 1988 04 75283.
 1988 05 37312·
 1988 06 40420.
 1988 07 29605·
 1988 08 23596·
 1988 09 39312·
 1988 10 43356.
 1988 11 27345·
 1988 12 11330.
 1989 01  72286.
 1989 02  88248.
 1989 03  24271·
 1989 04  27274.
 1989 05  54336.
 1989 06  27418·
 1989 07  3593·
 1989 08  83601.
 1989 09  32320.
 1989 10  35326·
 1989 11  71323·
 1989 12  17290.
 1990 01 73320.
 1990 02 11246·
 1990 03 58278·
 1990 04 93294.
 1990 05 71296·
 1990 06 82432.
 1990 07 23533·
 1990 08 97540·
 1990 09 46280.
 1990 10 98266·
 1990 11 45330·
 1990 12 43318.
 1991 01  42281.
 1991 02  34242·
 1991 03  32276·
 1991 04  69265.
 1991 05  28308·
 1991 06  91352.
 1991 07  16470·
 1991 08  38437.
 1991 09  99266.
 1991 10  94277·
 1991 11  53247·
 1991 12  38226·
 1992 01 73248·
 1992 02 93229·
 1992 03 24290.
 1992 04 81261·
 1992 05 94273·
 1992 06 64377.
 1992 07 38455.
 1992 08 5442·
 1992 09 32273·
 1992 10 8275.
 1992 11 24256·
 1992 12 74341.
 1993 01  81268·
 1993 02  49232.
 1993 03  40204.
 1993 04  74220·
 1993 05  59203·
 1993 06  37338·
 1993 07  67505.
 1993 08  20543.
 1993 09  12273.
 1993 10  50229·
 1993 11  12243.
 1993 12  49329.
 1994 01 8306·
 1994 02 86244.
 1994 03 7307.
 1994 04 23263.
 1994 05 41301·
 1994 06 71498.
 1994 07 8683·
 1994 08 32619.
 1994 09 30290·
 1994 10 56276·
 1994 11 97312.
 1994 12 87308·
 1995 01  21282.
 1995 02  15277.
 1995 03  81314.
 1995 04  26264.
 1995 05  81395.
 1995 06  50524.
 1995 07  91670·
 1995 08  13605.
 1995 09  5312.
 1995 10  86326.
 1995 11  84280·
 1995 12  35332.
 1996 01 11298·
 1996 02 72287·
 1996 03 41316·
 1996 04 5320.
 1996 05 46278.
 1996 06 86427.
 1996 07 69635.
 1996 08 62587.
 1996 09 76359·
 1996 10 26349.
 1996 11 0320·
 1996 12 67321.
 1997 01  97308.
 1997 02  18271·
 1997 03  91298.
 1997 04  9397·
 1997 05  27372.
 1997 06  13452·
 1997 07  22614·
 1997 08  1492.
 1997 09  12314.
 1997 10  86297.
 1997 11  2322·
 1997 12  80358.
 1998 01 19346.
 1998 02 38296.
 1998 03 60354·
 1998 04 10414·
 1998 05 43357·
 1998 06 94592·
 1998 07 55671.
 1998 08 79615·
 1998 09 3312·
 1998 10 3309.
 1998 11 67388·
 1998 12 99385.
 1999 01  44318·
 1999 02  42314.
 1999 03  3329·
 1999 04  7405·
 1999 05  34372·
 1999 06  12525·
 1999 07  96767·
 1999 08  68640·
 1999 09  68333·
 1999 10  36387·
 1999 11  0362.
 1999 12  69378·
 2000 01 64358.
 2000 02 67365.
 2000 03 99415·
 2000 04 23360.
 2000 05 67388.
 2000 06 79590.
 2000 07 99742·
 2000 08 68713·
 2000 09 47439·
 2000 10 72383·
 2000 11 31372·
 2000 12 66380.
 2001 01  96323·
 2001 02  72327.
 2001 03  53340·
 2001 04  6393·
 2001 05  35364·
 2001 06  30583.
 2001 07  45793·
 2001 08  0563.
 2001 09  7368.
 2001 10  20337.
 2001 11  14288.


 2001 12  87393.
 2002 01 81354·
 2002 02 43328.
 2002 03 93323.
 2002 04 28353.
 2002 05 53334.
 2002 06 25536.
 2002 07 37550·
 2002 08 13560.
 2002 09 40372·
 2002 10 16336·
 2002 11 28377.
 2002 12 54357·
 2003 01  87236·
 2003 02  91302.

Similar Series

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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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-timeNoneconomic 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
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