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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 9458·
 1976 07 4833·
 1976 08 6584.
 1976 09 1076·
 1976 10 7333.
 1976 11 4565.
 1976 12 2091·
 1977 01  2072·
 1977 02  5040·
 1977 03  7264.
 1977 04  649.
 1977 05  6044·
 1977 06  7539·
 1977 07  1059.
 1977 08  3866·
 1977 09  7395·
 1977 10  2357.
 1977 11  6762·
 1977 12  5347·
 1978 01 3031·
 1978 02 9558.
 1978 03 7254.
 1978 04 1338.
 1978 05 2449·
 1978 06 1658.
 1978 07 8540·
 1978 08 888.
 1978 09 7576.
 1978 10 3743·
 1978 11 8566·
 1978 12 4871·
 1979 01  2655·
 1979 02  3231·
 1979 03  7965·
 1979 04  7433.
 1979 05  4746·
 1979 06  349·
 1979 07  025.
 1979 08  4752.
 1979 09  3262.
 1979 10  7548.
 1979 11  449.
 1979 12  5552.
 1980 01 9930·
 1980 02 9845.
 1980 03 7261.
 1980 04 1154.
 1980 05 9543·
 1980 06 4734.
 1980 07 1154·
 1980 08 5382.
 1980 09 8687.
 1980 10 2349·
 1980 11 5354·
 1980 12 4451.
 1981 01  6835.
 1981 02  5151.
 1981 03  5557·
 1981 04  7242·
 1981 05  5929.
 1981 06  8238.
 1981 07  9740·
 1981 08  5087.
 1981 09  488.
 1981 10  9154.
 1981 11  8777·
 1981 12  1656·
 1982 01 7235·
 1982 02 7959·
 1982 03 5776.
 1982 04 3272·
 1982 05 5842.
 1982 06 7051.
 1982 07 6259·
 1982 08 86134·
 1982 09 79135·
 1982 10 1663.
 1982 11 8582·
 1982 12 92102·
 1983 01  8055·
 1983 02  9149·
 1983 03  3362·
 1983 04  8667.
 1983 05  3147.
 1983 06  9642·
 1983 07  3638.
 1983 08  3384·
 1983 09  2690.
 1983 10  5751.
 1983 11  5261·
 1983 12  2059·
 1984 01 8349·
 1984 02 2356.
 1984 03 6242·
 1984 04 6036·
 1984 05 4733.
 1984 06 7134·
 1984 07 7232·
 1984 08 9184.
 1984 09 8866.
 1984 10 032.
 1984 11 1541·
 1984 12 7531.
 1985 01  9835·
 1985 02  3632.
 1985 03  4842·
 1985 04  048.
 1985 05  9836.
 1985 06  3028.
 1985 07  5128·
 1985 08  8161·
 1985 09  3158·
 1985 10  5645.
 1985 11  3142·
 1985 12  5348.
 1986 01 6625·
 1986 02 1529.
 1986 03 2158.
 1986 04 8141.
 1986 05 9937.
 1986 06 3332.
 1986 07 7643·
 1986 08 5186.
 1986 09 4766·
 1986 10 6032.
 1986 11 7850·
 1986 12 7842·
 1987 01  5533.
 1987 02  7128.
 1987 03  3443.
 1987 04  9924·
 1987 05  9223.
 1987 06  6724.
 1987 07  7635·
 1987 08  7643·
 1987 09  5352.
 1987 10  7360·
 1987 11  6049·
 1987 12  9837.
 1988 01 5655.
 1988 02 3933·
 1988 03 6820·
 1988 04 7824.
 1988 05 4514·
 1988 06 4115·
 1988 07 717.
 1988 08 5350.
 1988 09 9135.
 1988 10 8023.
 1988 11 731·
 1988 12 8627·
 1989 01  8637·
 1989 02  8026·
 1989 03  2746·
 1989 04  6640·
 1989 05  5034.
 1989 06  9213·
 1989 07  4630.
 1989 08  543.
 1989 09  2735.
 1989 10  9234·
 1989 11  7340.
 1989 12  4037·
 1990 01 8628.
 1990 02 8017·
 1990 03 3931.
 1990 04 3628·
 1990 05 2230·
 1990 06 8024.
 1990 07 016.
 1990 08 7972.
 1990 09 5459·
 1990 10 4536·
 1990 11 3746.
 1990 12 8325·
 1991 01  2531·
 1991 02  4845.
 1991 03  5949.
 1991 04  8647·
 1991 05  438·
 1991 06  9036·
 1991 07  9639.
 1991 08  5065·
 1991 09  8757·
 1991 10  9851·
 1991 11  446·
 1991 12  6353.
 1992 01 9227.
 1992 02 2138.
 1992 03 6739·
 1992 04 3938·
 1992 05 6326·
 1992 06 3433·
 1992 07 8935·
 1992 08 1575.
 1992 09 7061·
 1992 10 3842·
 1992 11 358·
 1992 12 5439.
 1993 01  626·
 1993 02  5839.
 1993 03  6637·
 1993 04  4353·
 1993 05  9121·
 1993 06  4550.
 1993 07  5945.
 1993 08  9751·
 1993 09  6855.
 1993 10  7537.
 1993 11  8833·
 1993 12  5231.
 1994 01 863.
 1994 02 4755.
 1994 03 8646.
 1994 04 7271.
 1994 05 334·
 1994 06 8632.
 1994 07 957·
 1994 08 4475·
 1994 09 7462·
 1994 10 4466·
 1994 11 3942·
 1994 12 8241.
 1995 01  6440.
 1995 02  9626.
 1995 03  8240·
 1995 04  2363·
 1995 05  4342·
 1995 06  4239.
 1995 07  7066·
 1995 08  3085.
 1995 09  459.
 1995 10  746.
 1995 11  5985.
 1995 12  9151.
 1996 01 6768·
 1996 02 4246·
 1996 03 3238.
 1996 04 1965.
 1996 05 7651.
 1996 06 2337·
 1996 07 9546.
 1996 08 5171·
 1996 09 072·
 1996 10 4941.
 1996 11 7961·
 1996 12 5255·
 1997 01  3453·
 1997 02  4683·
 1997 03  4158.
 1997 04  840.
 1997 05  9529.
 1997 06  6430.
 1997 07  6342.
 1997 08  3366·
 1997 09  3083.
 1997 10  7943.
 1997 11  5261·
 1997 12  6446.
 1998 01 545.
 1998 02 9231·
 1998 03 3834·
 1998 04 6436.
 1998 05 1728.
 1998 06 2747·
 1998 07 7954·
 1998 08 2148.
 1998 09 8357·
 1998 10 3536·
 1998 11 5760.
 1998 12 4933.
 1999 01  4954·
 1999 02  9154·
 1999 03  7840·
 1999 04  8436.
 1999 05  8338.
 1999 06  9630.
 1999 07  7325·
 1999 08  9032.
 1999 09  7981.
 1999 10  7539.
 1999 11  052·
 1999 12  5530.
 2000 01 5628·
 2000 02 7932.
 2000 03 3948.
 2000 04 9232.
 2000 05 5938.
 2000 06 8336.
 2000 07 9837·
 2000 08 3832.
 2000 09 5758·
 2000 10 8730·
 2000 11 946·
 2000 12 5632.
 2001 01  4428·
 2001 02  1714.
 2001 03  2734·
 2001 04  3532.
 2001 05  3935.
 2001 06  2328·
 2001 07  3447·
 2001 08  8729.
 2001 09  8657·
 2001 10  8052·
 2001 11  3856.


 2001 12  5043.
 2002 01 5453.
 2002 02 8935.
 2002 03 6941·
 2002 04 8751.
 2002 05 3843.
 2002 06 7636.
 2002 07 8555.
 2002 08 8656·
 2002 09 5759·
 2002 10 9036.
 2002 11 6775·
 2002 12 5947·
 2003 01  5445·
 2003 02  742.

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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