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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 19333·
 1976 07 61460.
 1976 08 27464.
 1976 09 26318·
 1976 10 90291.
 1976 11 54271.
 1976 12 57316·
 1977 01  66272.
 1977 02  27296·
 1977 03  46234·
 1977 04  89332·
 1977 05  4319.
 1977 06  80367·
 1977 07  18514.
 1977 08  33442.
 1977 09  86300·
 1977 10  26316·
 1977 11  76297.
 1977 12  30334·
 1978 01 79300·
 1978 02 64240.
 1978 03 53275·
 1978 04 41321·
 1978 05 78377.
 1978 06 20377.
 1978 07 5520·
 1978 08 55514.
 1978 09 3386.
 1978 10 45353.
 1978 11 14334·
 1978 12 84381.
 1979 01  97302·
 1979 02  13278·
 1979 03  85337·
 1979 04  66411.
 1979 05  30344·
 1979 06  25432.
 1979 07  52525·
 1979 08  65477·
 1979 09  95304.
 1979 10  7323.
 1979 11  71321·
 1979 12  67357·
 1980 01 12353.
 1980 02 8299·
 1980 03 22330·
 1980 04 87370.
 1980 05 25378.
 1980 06 5448.
 1980 07 14563·
 1980 08 61498.
 1980 09 3329·
 1980 10 97309.
 1980 11 77286·
 1980 12 53325.
 1981 01  40285·
 1981 02  11250·
 1981 03  68278·
 1981 04  50321·
 1981 05  56298.
 1981 06  95350.
 1981 07  69458.
 1981 08  66454.
 1981 09  94255·
 1981 10  27226.
 1981 11  86221.
 1981 12  39266.
 1982 01 23215.
 1982 02 6221.
 1982 03 52215.
 1982 04 30242·
 1982 05 39277.
 1982 06 57300.
 1982 07 22391·
 1982 08 29396.
 1982 09 59228.
 1982 10 32205.
 1982 11 79201·
 1982 12 48226·
 1983 01  29197·
 1983 02  5157·
 1983 03  28185.
 1983 04  25217·
 1983 05  16235·
 1983 06  76361·
 1983 07  2427·
 1983 08  22400·
 1983 09  16246.
 1983 10  72177·
 1983 11  58184.
 1983 12  29266·
 1984 01 48214.
 1984 02 42200·
 1984 03 76259·
 1984 04 57296.
 1984 05 55269.
 1984 06 62390·
 1984 07 64435·
 1984 08 44468·
 1984 09 7310.
 1984 10 33250·
 1984 11 54249.
 1984 12 54264.
 1985 01  97261·
 1985 02  79221.
 1985 03  1279·
 1985 04  74259·
 1985 05  46278.
 1985 06  51330.
 1985 07  87423.
 1985 08  17447·
 1985 09  97278·
 1985 10  25273.
 1985 11  20273.
 1985 12  22252·
 1986 01 19228.
 1986 02 1210.
 1986 03 30249.
 1986 04 50273.
 1986 05 7265.
 1986 06 4422.
 1986 07 75553.
 1986 08 90472·
 1986 09 79307.
 1986 10 84268.
 1986 11 36324·
 1986 12 55282.
 1987 01  80241.
 1987 02  18264·
 1987 03  19246.
 1987 04  83285.
 1987 05  79312.
 1987 06  5426·
 1987 07  57570·
 1987 08  36570.
 1987 09  70321·
 1987 10  71272.
 1987 11  6315.
 1987 12  2327·
 1988 01 72285.
 1988 02 66249.
 1988 03 47292·
 1988 04 95283.
 1988 05 30312·
 1988 06 66420.
 1988 07 88605·
 1988 08 52596·
 1988 09 12312.
 1988 10 71356·
 1988 11 60345.
 1988 12 36330.
 1989 01  12286.
 1989 02  6248.
 1989 03  19271.
 1989 04  35274.
 1989 05  50336.
 1989 06  22418·
 1989 07  47593·
 1989 08  62601.
 1989 09  70320·
 1989 10  94326.
 1989 11  51323.
 1989 12  55290.
 1990 01 41320.
 1990 02 23246.
 1990 03 63278·
 1990 04 76294·
 1990 05 58296·
 1990 06 34432·
 1990 07 38533·
 1990 08 14540.
 1990 09 38280.
 1990 10 77266·
 1990 11 60330·
 1990 12 81318.
 1991 01  27281.
 1991 02  28242·
 1991 03  33276·
 1991 04  15265·
 1991 05  93308·
 1991 06  87352·
 1991 07  91470.
 1991 08  80437·
 1991 09  32266.
 1991 10  79277·
 1991 11  90247.
 1991 12  63226·
 1992 01 61248.
 1992 02 56229.
 1992 03 10290·
 1992 04 77261.
 1992 05 25273.
 1992 06 91377.
 1992 07 60455·
 1992 08 60442·
 1992 09 93273.
 1992 10 87275·
 1992 11 70256·
 1992 12 74341·
 1993 01  59268.
 1993 02  67232·
 1993 03  98204·
 1993 04  8220·
 1993 05  43203.
 1993 06  83338·
 1993 07  24505.
 1993 08  75543·
 1993 09  89273·
 1993 10  10229·
 1993 11  56243.
 1993 12  12329.
 1994 01 65306·
 1994 02 48244·
 1994 03 25307·
 1994 04 83263·
 1994 05 66301.
 1994 06 23498·
 1994 07 87683·
 1994 08 74619·
 1994 09 11290·
 1994 10 85276·
 1994 11 26312·
 1994 12 0308.
 1995 01  44282.
 1995 02  9277·
 1995 03  46314.
 1995 04  98264·
 1995 05  34395.
 1995 06  96524·
 1995 07  80670.
 1995 08  31605.
 1995 09  76312·
 1995 10  72326.
 1995 11  84280.
 1995 12  86332.
 1996 01 88298·
 1996 02 86287.
 1996 03 40316·
 1996 04 77320.
 1996 05 15278.
 1996 06 13427.
 1996 07 55635.
 1996 08 42587.
 1996 09 25359.
 1996 10 56349·
 1996 11 60320·
 1996 12 43321.
 1997 01  14308·
 1997 02  38271.
 1997 03  12298·
 1997 04  69397·
 1997 05  0372.
 1997 06  10452·
 1997 07  93614.
 1997 08  31492.
 1997 09  27314.
 1997 10  48297.
 1997 11  8322·
 1997 12  69358·
 1998 01 64346·
 1998 02 52296·
 1998 03 91354·
 1998 04 45414.
 1998 05 6357·
 1998 06 47592·
 1998 07 97671.
 1998 08 47615.
 1998 09 72312·
 1998 10 83309·
 1998 11 8388.
 1998 12 88385·
 1999 01  5318.
 1999 02  37314·
 1999 03  31329.
 1999 04  5405.
 1999 05  76372·
 1999 06  9525.
 1999 07  98767·
 1999 08  62640.
 1999 09  77333·
 1999 10  23387·
 1999 11  64362.
 1999 12  46378.
 2000 01 29358·
 2000 02 31365.
 2000 03 12415·
 2000 04 71360.
 2000 05 75388·
 2000 06 7590·
 2000 07 48742.
 2000 08 74713.
 2000 09 84439·
 2000 10 52383·
 2000 11 4372·
 2000 12 18380·
 2001 01  51323.
 2001 02  92327.
 2001 03  37340·
 2001 04  91393·
 2001 05  95364·
 2001 06  77583·
 2001 07  28793.
 2001 08  6563·
 2001 09  60368.
 2001 10  82337·
 2001 11  84288·


 2001 12  1393.
 2002 01 15354·
 2002 02 8328·
 2002 03 37323.
 2002 04 39353.
 2002 05 54334·
 2002 06 79536·
 2002 07 42550·
 2002 08 7560·
 2002 09 97372·
 2002 10 47336.
 2002 11 83377.
 2002 12 19357·
 2003 01  87236·
 2003 02  87302.

Similar Series

Skip to Data / More Chart Options

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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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