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 Series Title: Number Unemployed for 11-14 yrs. weeks 16-19 yrs. Female: NSA (Thousands)
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 1976 06 2958·
 1976 07 8833.
 1976 08 8784.
 1976 09 4776·
 1976 10 1433·
 1976 11 3665·
 1976 12 6291.
 1977 01  7372·
 1977 02  2840.
 1977 03  4564.
 1977 04  149.
 1977 05  6044·
 1977 06  2139.
 1977 07  9659.
 1977 08  1766.
 1977 09  5395.
 1977 10  6857.
 1977 11  9762·
 1977 12  4747·
 1978 01 2031.
 1978 02 7058·
 1978 03 7954·
 1978 04 5338.
 1978 05 5549·
 1978 06 5358.
 1978 07 9840·
 1978 08 2588.
 1978 09 7976.
 1978 10 6743.
 1978 11 3766·
 1978 12 7471·
 1979 01  3455·
 1979 02  8731.
 1979 03  165·
 1979 04  4033.
 1979 05  9046·
 1979 06  1349.
 1979 07  2325·
 1979 08  8452.
 1979 09  4162.
 1979 10  7248.
 1979 11  5849.
 1979 12  9452.
 1980 01 730.
 1980 02 1345·
 1980 03 9061·
 1980 04 8454.
 1980 05 3143·
 1980 06 1134·
 1980 07 2454·
 1980 08 9182·
 1980 09 8387·
 1980 10 6849·
 1980 11 9254·
 1980 12 7951·
 1981 01  5635·
 1981 02  851·
 1981 03  5057·
 1981 04  3442·
 1981 05  7029.
 1981 06  8238·
 1981 07  8140·
 1981 08  7187·
 1981 09  6988.
 1981 10  6554.
 1981 11  9177·
 1981 12  2656·
 1982 01 2335·
 1982 02 5859·
 1982 03 1176·
 1982 04 6372.
 1982 05 2442·
 1982 06 8751·
 1982 07 9959·
 1982 08 70134·
 1982 09 93135·
 1982 10 063·
 1982 11 3582.
 1982 12 59102·
 1983 01  7455.
 1983 02  7549.
 1983 03  2762.
 1983 04  6967.
 1983 05  3547·
 1983 06  1142.
 1983 07  738.
 1983 08  6284·
 1983 09  7190.
 1983 10  3351.
 1983 11  2961·
 1983 12  2759·
 1984 01 149·
 1984 02 9256·
 1984 03 7842.
 1984 04 7536·
 1984 05 7033.
 1984 06 6434.
 1984 07 5832·
 1984 08 4684·
 1984 09 4566·
 1984 10 4932.
 1984 11 241·
 1984 12 131·
 1985 01  2235.
 1985 02  7232.
 1985 03  6742.
 1985 04  2948.
 1985 05  1936.
 1985 06  8428·
 1985 07  3328·
 1985 08  4361·
 1985 09  8158·
 1985 10  5945·
 1985 11  842.
 1985 12  8048.
 1986 01 7725.
 1986 02 9929.
 1986 03 2358·
 1986 04 441.
 1986 05 137·
 1986 06 2932.
 1986 07 3543.
 1986 08 286·
 1986 09 7266·
 1986 10 9932·
 1986 11 2650·
 1986 12 8842·
 1987 01  3433·
 1987 02  8428.
 1987 03  243.
 1987 04  9824·
 1987 05  5723.
 1987 06  8624.
 1987 07  9535·
 1987 08  9743·
 1987 09  3452.
 1987 10  2860·
 1987 11  6149·
 1987 12  7137.
 1988 01 8455.
 1988 02 6333·
 1988 03 8220.
 1988 04 3524.
 1988 05 5314·
 1988 06 6415.
 1988 07 6517.
 1988 08 2550.
 1988 09 935·
 1988 10 3323·
 1988 11 4231·
 1988 12 427.
 1989 01  4537·
 1989 02  9526·
 1989 03  6846.
 1989 04  6140.
 1989 05  8234.
 1989 06  113.
 1989 07  2730.
 1989 08  943.
 1989 09  6335·
 1989 10  2534.
 1989 11  2340·
 1989 12  8437.
 1990 01 5828.
 1990 02 6817.
 1990 03 8931·
 1990 04 5128.
 1990 05 6030·
 1990 06 5524.
 1990 07 8216.
 1990 08 9772·
 1990 09 8959·
 1990 10 3836·
 1990 11 8446.
 1990 12 3525.
 1991 01  8931·
 1991 02  9045.
 1991 03  049.
 1991 04  247·
 1991 05  2938.
 1991 06  1336.
 1991 07  6239.
 1991 08  6265·
 1991 09  457·
 1991 10  3351·
 1991 11  2846·
 1991 12  353·
 1992 01 3127.
 1992 02 9838.
 1992 03 7939.
 1992 04 3838.
 1992 05 5726·
 1992 06 8633·
 1992 07 2135.
 1992 08 375·
 1992 09 4861·
 1992 10 9642·
 1992 11 8658.
 1992 12 6339.
 1993 01  126.
 1993 02  5339.
 1993 03  3137.
 1993 04  653.
 1993 05  3321·
 1993 06  850·
 1993 07  3745.
 1993 08  4351·
 1993 09  9055·
 1993 10  3737·
 1993 11  1133.
 1993 12  1331·
 1994 01 4063·
 1994 02 3955·
 1994 03 8546.
 1994 04 7971·
 1994 05 7734.
 1994 06 4132·
 1994 07 1557.
 1994 08 2975·
 1994 09 2062·
 1994 10 9266·
 1994 11 8342·
 1994 12 7541.
 1995 01  1440·
 1995 02  6826.
 1995 03  9640·
 1995 04  5663·
 1995 05  2842·
 1995 06  6939·
 1995 07  8466·
 1995 08  3485.
 1995 09  5659·
 1995 10  2146·
 1995 11  685·
 1995 12  9751·
 1996 01 1768·
 1996 02 7446·
 1996 03 4238·
 1996 04 5965.
 1996 05 5551·
 1996 06 437.
 1996 07 9946·
 1996 08 5771·
 1996 09 3972.
 1996 10 1141.
 1996 11 961.
 1996 12 5455.
 1997 01  6453.
 1997 02  1983.
 1997 03  2958.
 1997 04  3740·
 1997 05  4929.
 1997 06  8130.
 1997 07  3942.
 1997 08  2066.
 1997 09  3783.
 1997 10  7043·
 1997 11  4761·
 1997 12  4146.
 1998 01 9845.
 1998 02 8831.
 1998 03 8534·
 1998 04 6336.
 1998 05 2628.
 1998 06 6047·
 1998 07 854·
 1998 08 7248·
 1998 09 4057·
 1998 10 3636·
 1998 11 9960.
 1998 12 8433·
 1999 01  8554.
 1999 02  9254·
 1999 03  6540·
 1999 04  3436·
 1999 05  2938·
 1999 06  2830.
 1999 07  3625·
 1999 08  8632.
 1999 09  6681.
 1999 10  6939.
 1999 11  7052·
 1999 12  2930.
 2000 01 1728·
 2000 02 6632.
 2000 03 4848.
 2000 04 7432·
 2000 05 2438·
 2000 06 9436.
 2000 07 7637·
 2000 08 6032.
 2000 09 5758.
 2000 10 5330·
 2000 11 8746.
 2000 12 5032·
 2001 01  1028.
 2001 02  7014·
 2001 03  3834·
 2001 04  3132.
 2001 05  335.
 2001 06  9428.
 2001 07  947·
 2001 08  1629.
 2001 09  7957.
 2001 10  152.
 2001 11  756·


 2001 12  4443·
 2002 01 753.
 2002 02 9035·
 2002 03 6441·
 2002 04 7751.
 2002 05 8343.
 2002 06 8936·
 2002 07 3755.
 2002 08 456.
 2002 09 2459·
 2002 10 4636·
 2002 11 875·
 2002 12 3647·
 2003 01  7545.
 2003 02  3842.

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. Female: 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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