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 Series Title: Number Unemployed for 5-6 weeks 16-19 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 1995·
 1976 07 0220.
 1976 08 4897.
 1976 09 7761·
 1976 10 2799.
 1976 11 3982.
 1976 12 5780·
 1977 01  5385.
 1977 02  83105.
 1977 03  5754·
 1977 04  4751·
 1977 05  958·
 1977 06  37101·
 1977 07  37210.
 1977 08  3386·
 1977 09  8943.
 1977 10  64109.
 1977 11  8457.
 1977 12  5162.
 1978 01 6266.
 1978 02 6459.
 1978 03 3272·
 1978 04 6658.
 1978 05 2354.
 1978 06 6451·
 1978 07 35191·
 1978 08 6469·
 1978 09 9051·
 1978 10 14102.
 1978 11 7766.
 1978 12 59100.
 1979 01  776.
 1979 02  88106.
 1979 03  6363.
 1979 04  8860.
 1979 05  4558.
 1979 06  8872·
 1979 07  25172·
 1979 08  1563·
 1979 09  9670.
 1979 10  39100.
 1979 11  2082.
 1979 12  2777.
 1980 01 8089·
 1980 02 9085·
 1980 03 3049·
 1980 04 3765·
 1980 05 4249.
 1980 06 18101·
 1980 07 60251·
 1980 08 8372.
 1980 09 4963.
 1980 10 23115·
 1980 11 4495·
 1980 12 2872.
 1981 01  9863.
 1981 02  3189.
 1981 03  3781·
 1981 04  6071·
 1981 05  689.
 1981 06  90111.
 1981 07  20164·
 1981 08  9275.
 1981 09  1764.
 1981 10  7894.
 1981 11  282·
 1981 12  6172·
 1982 01 290·
 1982 02 95103.
 1982 03 1386.
 1982 04 3168.
 1982 05 5382·
 1982 06 65111·
 1982 07 10236·
 1982 08 8991.
 1982 09 9188.
 1982 10 4089.
 1982 11 7475·
 1982 12 4980·
 1983 01  5989·
 1983 02  9499.
 1983 03  1370.
 1983 04  4876·
 1983 05  2657.
 1983 06  2896.
 1983 07  58224·
 1983 08  48103.
 1983 09  8780·
 1983 10  67114·
 1983 11  6581.
 1983 12  3972·
 1984 01 6189.
 1984 02 6376.
 1984 03 1662.
 1984 04 3359·
 1984 05 9254.
 1984 06 8975.
 1984 07 18197.
 1984 08 6777.
 1984 09 4870·
 1984 10 47113.
 1984 11 367.
 1984 12 574·
 1985 01  2565·
 1985 02  6273.
 1985 03  2744.
 1985 04  3582.
 1985 05  4182.
 1985 06  8585.
 1985 07  71174.
 1985 08  6981·
 1985 09  4046.
 1985 10  90100·
 1985 11  4353·
 1985 12  4561.
 1986 01 9274.
 1986 02 7876·
 1986 03 7481.
 1986 04 2760.
 1986 05 9163.
 1986 06 7590·
 1986 07 20154.
 1986 08 259.
 1986 09 5663·
 1986 10 3176.
 1986 11 6459.
 1986 12 8255·
 1987 01  3043·
 1987 02  2185.
 1987 03  1183.
 1987 04  757.
 1987 05  8458.
 1987 06  4668·
 1987 07  95142·
 1987 08  3868.
 1987 09  1143·
 1987 10  3095·
 1987 11  7067.
 1987 12  6481.
 1988 01 3058·
 1988 02 2652.
 1988 03 2039·
 1988 04 9752·
 1988 05 8658·
 1988 06 759.
 1988 07 49139.
 1988 08 7646·
 1988 09 4840.
 1988 10 7480.
 1988 11 9155·
 1988 12 6440.
 1989 01  965.
 1989 02  5387.
 1989 03  227·
 1989 04  4732·
 1989 05  9036·
 1989 06  9468.
 1989 07  63131.
 1989 08  4080·
 1989 09  3452.
 1989 10  7368.
 1989 11  8275·
 1989 12  7948.
 1990 01 985.
 1990 02 8960.
 1990 03 8959.
 1990 04 2950·
 1990 05 1252.
 1990 06 6949.
 1990 07 41126·
 1990 08 7643·
 1990 09 5936.
 1990 10 62104·
 1990 11 2043·
 1990 12 3470·
 1991 01  9764·
 1991 02  44103.
 1991 03  3363·
 1991 04  4146·
 1991 05  9367.
 1991 06  1690.
 1991 07  11152·
 1991 08  5956.
 1991 09  4263·
 1991 10  278.
 1991 11  1179·
 1991 12  7658·
 1992 01 6468.
 1992 02 5491·
 1992 03 1565.
 1992 04 637·
 1992 05 163.
 1992 06 4677·
 1992 07 29147·
 1992 08 8563·
 1992 09 2452.
 1992 10 7979.
 1992 11 8460.
 1992 12 7861·
 1993 01  2773·
 1993 02  7876.
 1993 03  3857·
 1993 04  7259·
 1993 05  2866·
 1993 06  9486.
 1993 07  73135.
 1993 08  7986.
 1993 09  7246.
 1993 10  3107·
 1993 11  9455.
 1993 12  3870.
 1994 01 2838.
 1994 02 362.
 1994 03 3342.
 1994 04 1235.
 1994 05 9074.
 1994 06 2277.
 1994 07 4773.
 1994 08 8882·
 1994 09 7717.
 1994 10 962.
 1994 11 1855.
 1994 12 8079.
 1995 01  3353.
 1995 02  4056·
 1995 03  5347.
 1995 04  2418·
 1995 05  2878·
 1995 06  1467·
 1995 07  82124·
 1995 08  8571.
 1995 09  5645·
 1995 10  5865·
 1995 11  6366·
 1995 12  5063·
 1996 01 3643·
 1996 02 2289·
 1996 03 7737·
 1996 04 3244.
 1996 05 1160·
 1996 06 8280·
 1996 07 31103·
 1996 08 6951.
 1996 09 5221·
 1996 10 3787·
 1996 11 5770.
 1996 12 2363·
 1997 01  5134·
 1997 02  1266·
 1997 03  1051·
 1997 04  8337.
 1997 05  2939.
 1997 06  6083.
 1997 07  74115·
 1997 08  6288.
 1997 09  3017·
 1997 10  5452·
 1997 11  5441.
 1997 12  9746.
 1998 01 2220·
 1998 02 95104·
 1998 03 8260·
 1998 04 5134·
 1998 05 040·
 1998 06 969·
 1998 07 15109·
 1998 08 1244.
 1998 09 8331·
 1998 10 4672.
 1998 11 34104·
 1998 12 9330·
 1999 01  1537.
 1999 02  8158·
 1999 03  4638·
 1999 04  3345.
 1999 05  6562·
 1999 06  1549·
 1999 07  82130.
 1999 08  9340·
 1999 09  2734.
 1999 10  7472·
 1999 11  064·
 1999 12  6271.
 2000 01 2133.
 2000 02 676·
 2000 03 8141.
 2000 04 5231.
 2000 05 9137.
 2000 06 8965·
 2000 07 3298.
 2000 08 262·
 2000 09 519·
 2000 10 2239.
 2000 11 8329·
 2000 12 7465.
 2001 01  5844.
 2001 02  3166·
 2001 03  9351·
 2001 04  5741·
 2001 05  7023·
 2001 06  6549·
 2001 07  4298·
 2001 08  6358·
 2001 09  8355.
 2001 10  262·
 2001 11  3738·


 2001 12  3049·
 2002 01 6825·
 2002 02 4069.
 2002 03 1036·
 2002 04 2153·
 2002 05 1836.
 2002 06 582.
 2002 07 17127·
 2002 08 2360.
 2002 09 5339.
 2002 10 4834·
 2002 11 4140.
 2002 12 5145.
 2003 01  1613·
 2003 02  4568·

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 Unemployed for 5-6 weeks 16-19 yrs. 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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