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 Series Title: Number Unemployed for 11-14 yrs. 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 3456.
 1976 07 7552·
 1976 08 94120·
 1976 09 4899.
 1976 10 2069.
 1976 11 9789.
 1976 12 6599·
 1977 01  4154·
 1977 02  2472.
 1977 03  6884·
 1977 04  8868.
 1977 05  8432·
 1977 06  9452·
 1977 07  6839·
 1977 08  74102·
 1977 09  1995.
 1977 10  658.
 1977 11  675·
 1977 12  6284.
 1978 01 1763.
 1978 02 6160.
 1978 03 1199.
 1978 04 1583.
 1978 05 7031·
 1978 06 8343.
 1978 07 4244.
 1978 08 2061.
 1978 09 9960.
 1978 10 2433·
 1978 11 8052·
 1978 12 9098·
 1979 01  4790·
 1979 02  5870·
 1979 03  3091·
 1979 04  6462.
 1979 05  8349·
 1979 06  8735.
 1979 07  2637.
 1979 08  484·
 1979 09  249.
 1979 10  3519·
 1979 11  2351.
 1979 12  9858·
 1980 01 2364.
 1980 02 5374.
 1980 03 4101.
 1980 04 5857.
 1980 05 9051.
 1980 06 1657·
 1980 07 7453·
 1980 08 24111.
 1980 09 7282.
 1980 10 2560·
 1980 11 6681·
 1980 12 5780·
 1981 01  6385.
 1981 02  593·
 1981 03  3685·
 1981 04  4656.
 1981 05  8255·
 1981 06  661.
 1981 07  6671·
 1981 08  4101·
 1981 09  74135·
 1981 10  464·
 1981 11  6396·
 1981 12  67116.
 1982 01 882.
 1982 02 99104·
 1982 03 57118.
 1982 04 086·
 1982 05 7760·
 1982 06 1785.
 1982 07 652·
 1982 08 91143·
 1982 09 2148·
 1982 10 891.
 1982 11 92115.
 1982 12 51146·
 1983 01  25108.
 1983 02  4790.
 1983 03  2097.
 1983 04  1976.
 1983 05  1648·
 1983 06  3576.
 1983 07  2341.
 1983 08  58142.
 1983 09  70109·
 1983 10  9779·
 1983 11  5894·
 1983 12  5693.
 1984 01 670.
 1984 02 8468.
 1984 03 582·
 1984 04 2563.
 1984 05 6766.
 1984 06 7052·
 1984 07 7260·
 1984 08 4102.
 1984 09 2290·
 1984 10 5749.
 1984 11 9064·
 1984 12 5582·
 1985 01  6779·
 1985 02  7064·
 1985 03  1661.
 1985 04  6759·
 1985 05  2060·
 1985 06  5853·
 1985 07  3134·
 1985 08  5280.
 1985 09  2472·
 1985 10  9957.
 1985 11  4378·
 1985 12  4762·
 1986 01 5157·
 1986 02 9180.
 1986 03 8254.
 1986 04 1776.
 1986 05 9248·
 1986 06 6025.
 1986 07 642.
 1986 08 49100·
 1986 09 6892·
 1986 10 5738·
 1986 11 9674.
 1986 12 5578·
 1987 01  2356·
 1987 02  5775.
 1987 03  5863·
 1987 04  7445.
 1987 05  2639.
 1987 06  6130.
 1987 07  2524·
 1987 08  6873.
 1987 09  7156.
 1987 10  9325.
 1987 11  5351·
 1987 12  2649.
 1988 01 7757·
 1988 02 528·
 1988 03 2361.
 1988 04 6120.
 1988 05 8817.
 1988 06 7134·
 1988 07 4334·
 1988 08 966.
 1988 09 7462.
 1988 10 9225.
 1988 11 4359.
 1988 12 3449.
 1989 01  2922·
 1989 02  9449.
 1989 03  8145·
 1989 04  2524·
 1989 05  7141·
 1989 06  2625.
 1989 07  3822·
 1989 08  9337.
 1989 09  4546.
 1989 10  6524.
 1989 11  2157.
 1989 12  7749·
 1990 01 2049·
 1990 02 1055.
 1990 03 6247·
 1990 04 4036.
 1990 05 9037·
 1990 06 8724.
 1990 07 1624·
 1990 08 6976·
 1990 09 7451·
 1990 10 4749·
 1990 11 6654.
 1990 12 7840·
 1991 01  1746·
 1991 02  6449·
 1991 03  1972·
 1991 04  454.
 1991 05  8756.
 1991 06  3938·
 1991 07  643.
 1991 08  1063.
 1991 09  7973·
 1991 10  9854.
 1991 11  8375.
 1991 12  8499·
 1992 01 1262·
 1992 02 9169.
 1992 03 3374.
 1992 04 3974·
 1992 05 3052·
 1992 06 9339·
 1992 07 6159.
 1992 08 1381·
 1992 09 291.
 1992 10 554.
 1992 11 066.
 1992 12 6965.
 1993 01  2357·
 1993 02  5264.
 1993 03  792.
 1993 04  9571·
 1993 05  1034.
 1993 06  8534.
 1993 07  6248.
 1993 08  3109·
 1993 09  1047·
 1993 10  7826.
 1993 11  7358.
 1993 12  3244.
 1994 01 9057.
 1994 02 3284.
 1994 03 7165·
 1994 04 4374·
 1994 05 4541.
 1994 06 7461·
 1994 07 1251·
 1994 08 27113·
 1994 09 9391·
 1994 10 5252·
 1994 11 7953.
 1994 12 9486.
 1995 01  8072.
 1995 02  4263.
 1995 03  7876·
 1995 04  8356·
 1995 05  7556·
 1995 06  4661.
 1995 07  4180.
 1995 08  57103.
 1995 09  7076.
 1995 10  8862.
 1995 11  2448.
 1995 12  482·
 1996 01 8656.
 1996 02 1851·
 1996 03 983.
 1996 04 37103.
 1996 05 6770.
 1996 06 1251·
 1996 07 397·
 1996 08 9393·
 1996 09 8273·
 1996 10 7168·
 1996 11 3757.
 1996 12 3568·
 1997 01  2463.
 1997 02  1982·
 1997 03  6886·
 1997 04  5282.
 1997 05  1435.
 1997 06  849·
 1997 07  7856.
 1997 08  5689·
 1997 09  9588.
 1997 10  1278.
 1997 11  7277·
 1997 12  8644·
 1998 01 3655.
 1998 02 3259·
 1998 03 8467.
 1998 04 362·
 1998 05 3263·
 1998 06 9450.
 1998 07 6937.
 1998 08 9680.
 1998 09 263·
 1998 10 4746.
 1998 11 971·
 1998 12 7862.
 1999 01  8973.
 1999 02  6746·
 1999 03  1178·
 1999 04  8734.
 1999 05  6341·
 1999 06  5553.
 1999 07  632·
 1999 08  8551.
 1999 09  1866·
 1999 10  3623.
 1999 11  5171.
 1999 12  6151.
 2000 01 7463.
 2000 02 6065·
 2000 03 2845.
 2000 04 2745.
 2000 05 7440·
 2000 06 340·
 2000 07 4356·
 2000 08 2261.
 2000 09 8755.
 2000 10 6532.
 2000 11 2845·
 2000 12 751·
 2001 01  846.
 2001 02  7162.
 2001 03  4072·
 2001 04  7247.
 2001 05  5625·
 2001 06  7249·
 2001 07  6043.
 2001 08  2858.
 2001 09  7567·
 2001 10  4353.
 2001 11  9563·


 2001 12  1582·
 2002 01 3474·
 2002 02 8563.
 2002 03 7662·
 2002 04 9464.
 2002 05 2773.
 2002 06 2354·
 2002 07 6143.
 2002 08 5372.
 2002 09 7378·
 2002 10 863.
 2002 11 3053·
 2002 12 657.
 2003 01  1773.
 2003 02  1457·

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 11-14 yrs. 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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