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 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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 8858·
 1976 07 1533.
 1976 08 9784·
 1976 09 3876.
 1976 10 6533.
 1976 11 665·
 1976 12 9391.
 1977 01  8672.
 1977 02  2740·
 1977 03  1564·
 1977 04  849.
 1977 05  5144.
 1977 06  2439·
 1977 07  2259.
 1977 08  5666.
 1977 09  7895·
 1977 10  3257·
 1977 11  3662.
 1977 12  7547·
 1978 01 3531·
 1978 02 5258·
 1978 03 8654·
 1978 04 2638.
 1978 05 1749·
 1978 06 858·
 1978 07 3040.
 1978 08 9988.
 1978 09 4376·
 1978 10 5143·
 1978 11 4966.
 1978 12 671·
 1979 01  5855.
 1979 02  5631·
 1979 03  5165·
 1979 04  8533·
 1979 05  2946·
 1979 06  2549·
 1979 07  6625·
 1979 08  9952.
 1979 09  5262.
 1979 10  8148·
 1979 11  5149·
 1979 12  3652·
 1980 01 4630.
 1980 02 7645.
 1980 03 8961.
 1980 04 954.
 1980 05 5443·
 1980 06 8534·
 1980 07 8554·
 1980 08 5582.
 1980 09 4687·
 1980 10 949.
 1980 11 7154·
 1980 12 3751.
 1981 01  1635·
 1981 02  7251·
 1981 03  457.
 1981 04  4442·
 1981 05  8329.
 1981 06  2638·
 1981 07  6640·
 1981 08  8887.
 1981 09  9188.
 1981 10  4554·
 1981 11  6377.
 1981 12  756·
 1982 01 1035.
 1982 02 3059·
 1982 03 2776·
 1982 04 6472·
 1982 05 3342·
 1982 06 651·
 1982 07 1459.
 1982 08 47134.
 1982 09 80135.
 1982 10 2463·
 1982 11 782.
 1982 12 69102.
 1983 01  9455.
 1983 02  5949·
 1983 03  1162.
 1983 04  6867·
 1983 05  4647·
 1983 06  1242.
 1983 07  5938·
 1983 08  684·
 1983 09  2990·
 1983 10  851.
 1983 11  661.
 1983 12  7159·
 1984 01 6149.
 1984 02 9756·
 1984 03 3542.
 1984 04 7736·
 1984 05 8933·
 1984 06 5434.
 1984 07 5332·
 1984 08 6284.
 1984 09 8066.
 1984 10 8132·
 1984 11 9041·
 1984 12 8731.
 1985 01  2835.
 1985 02  232·
 1985 03  542.
 1985 04  4148·
 1985 05  5336.
 1985 06  6828·
 1985 07  7728·
 1985 08  3861.
 1985 09  9958·
 1985 10  5445.
 1985 11  1442.
 1985 12  1448.
 1986 01 3625·
 1986 02 6129.
 1986 03 4858·
 1986 04 3341.
 1986 05 5637·
 1986 06 1432.
 1986 07 3543.
 1986 08 8286·
 1986 09 8066·
 1986 10 6332·
 1986 11 5650.
 1986 12 7542·
 1987 01  5133.
 1987 02  8428.
 1987 03  2043.
 1987 04  5024·
 1987 05  3923·
 1987 06  7724.
 1987 07  5635.
 1987 08  6843·
 1987 09  3852.
 1987 10  6860·
 1987 11  2249·
 1987 12  1937.
 1988 01 6655·
 1988 02 733·
 1988 03 9920.
 1988 04 1524·
 1988 05 6914·
 1988 06 6915.
 1988 07 9417·
 1988 08 9350.
 1988 09 1535·
 1988 10 5523.
 1988 11 3931·
 1988 12 1827·
 1989 01  9837.
 1989 02  9026·
 1989 03  9046.
 1989 04  7640.
 1989 05  3734·
 1989 06  2513·
 1989 07  2930·
 1989 08  8143.
 1989 09  7835·
 1989 10  3534·
 1989 11  6340.
 1989 12  7137.
 1990 01 8828.
 1990 02 2017.
 1990 03 2331·
 1990 04 728·
 1990 05 6230·
 1990 06 524.
 1990 07 6616·
 1990 08 8072.
 1990 09 1959·
 1990 10 4236·
 1990 11 7346.
 1990 12 025·
 1991 01  331·
 1991 02  545·
 1991 03  5149·
 1991 04  647.
 1991 05  8338·
 1991 06  9536.
 1991 07  3239·
 1991 08  6165·
 1991 09  5457·
 1991 10  3851·
 1991 11  7346.
 1991 12  5453.
 1992 01 3527.
 1992 02 8338·
 1992 03 5439.
 1992 04 9538·
 1992 05 6926·
 1992 06 633·
 1992 07 8435·
 1992 08 2575.
 1992 09 2661.
 1992 10 842.
 1992 11 9258.
 1992 12 539.
 1993 01  026.
 1993 02  1339.
 1993 03  3737.
 1993 04  2353.
 1993 05  1021·
 1993 06  7350.
 1993 07  9945·
 1993 08  9351·
 1993 09  155.
 1993 10  6237.
 1993 11  8533.
 1993 12  5231·
 1994 01 4163·
 1994 02 8155·
 1994 03 2846·
 1994 04 6371·
 1994 05 2534.
 1994 06 5632.
 1994 07 8257·
 1994 08 1475.
 1994 09 7162.
 1994 10 3666.
 1994 11 3142·
 1994 12 1841·
 1995 01  2440·
 1995 02  9826·
 1995 03  8140.
 1995 04  1263.
 1995 05  5442·
 1995 06  4139.
 1995 07  6366.
 1995 08  6185·
 1995 09  5359.
 1995 10  9246·
 1995 11  3585·
 1995 12  5051·
 1996 01 4268·
 1996 02 9946.
 1996 03 7738·
 1996 04 9565·
 1996 05 6451·
 1996 06 3937·
 1996 07 9646·
 1996 08 3171.
 1996 09 8872·
 1996 10 1341.
 1996 11 2561.
 1996 12 2355·
 1997 01  1053·
 1997 02  4583·
 1997 03  1958·
 1997 04  5840.
 1997 05  4729·
 1997 06  8630·
 1997 07  6042·
 1997 08  4866.
 1997 09  4483.
 1997 10  1143·
 1997 11  5661·
 1997 12  3346·
 1998 01 7145·
 1998 02 2131·
 1998 03 3734·
 1998 04 7536.
 1998 05 2028.
 1998 06 4147·
 1998 07 6054·
 1998 08 6148.
 1998 09 1257.
 1998 10 2136.
 1998 11 760.
 1998 12 433·
 1999 01  9154.
 1999 02  3754.
 1999 03  8440.
 1999 04  4336·
 1999 05  2538·
 1999 06  9030·
 1999 07  2425·
 1999 08  4132.
 1999 09  981·
 1999 10  439·
 1999 11  8252.
 1999 12  8430.
 2000 01 6328.
 2000 02 3132·
 2000 03 4148·
 2000 04 8732.
 2000 05 2938·
 2000 06 4436·
 2000 07 737.
 2000 08 8732·
 2000 09 7758·
 2000 10 4630.
 2000 11 1246.
 2000 12 4732·
 2001 01  228·
 2001 02  6114.
 2001 03  1234.
 2001 04  5432·
 2001 05  2335.
 2001 06  3928·
 2001 07  8947·
 2001 08  2229.
 2001 09  8357.
 2001 10  5652.
 2001 11  4956·


 2001 12  8943·
 2002 01 5253·
 2002 02 1335·
 2002 03 2541·
 2002 04 1751·
 2002 05 2443.
 2002 06 3536·
 2002 07 7355·
 2002 08 9556·
 2002 09 1859·
 2002 10 7136.
 2002 11 7475·
 2002 12 3447.
 2003 01  7845·
 2003 02  9842·

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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