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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  |  Excel file  |  Self-updating Excel file
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 2003 02  2442·
 2003 01  845·
 2002 12 4247·
 2002 11 2775·
 2002 10 9336.
 2002 09 6759.
 2002 08 7956.
 2002 07 9255.
 2002 06 4736.
 2002 05 4243.
 2002 04 3751.
 2002 03 7541·
 2002 02 3635·
 2002 01 1753.
 2001 12  2743·
 2001 11  1956·
 2001 10  3752·
 2001 09  9757.
 2001 08  8829.
 2001 07  9347·
 2001 06  4828.
 2001 05  1535.
 2001 04  8232·
 2001 03  9234·
 2001 02  9714·
 2001 01  2628.
 2000 12 9732·
 2000 11 3646·
 2000 10 3230.
 2000 09 1358.
 2000 08 4632.
 2000 07 6737·
 2000 06 2936·
 2000 05 8138.
 2000 04 6732·
 2000 03 5648·
 2000 02 9032·
 2000 01 6428.
 1999 12  2330·
 1999 11  9652.
 1999 10  3939·
 1999 09  1681.
 1999 08  232·
 1999 07  725.
 1999 06  2630.
 1999 05  2138.
 1999 04  1736·
 1999 03  3240·
 1999 02  2754.
 1999 01  8454·
 1998 12 533·
 1998 11 4160.
 1998 10 4336·
 1998 09 3857·
 1998 08 3048.
 1998 07 2854·
 1998 06 9947·
 1998 05 3828.
 1998 04 7936·
 1998 03 1334.
 1998 02 4431·
 1998 01 6745.
 1997 12  6546.
 1997 11  3861·
 1997 10  5643.
 1997 09  3183·
 1997 08  2666·
 1997 07  7442.
 1997 06  3330.
 1997 05  6229.
 1997 04  2640.
 1997 03  1458.
 1997 02  183·
 1997 01  1753·
 1996 12 5155·
 1996 11 7861·
 1996 10 1141.
 1996 09 7772.
 1996 08 1571·
 1996 07 1046.
 1996 06 3937·
 1996 05 4851.
 1996 04 5665·
 1996 03 7938.
 1996 02 8446·
 1996 01 6368·
 1995 12  3651·
 1995 11  7985·
 1995 10  7146·
 1995 09  7759.
 1995 08  4485·
 1995 07  2966·
 1995 06  5339·
 1995 05  7442.
 1995 04  9263·
 1995 03  7340.
 1995 02  226·
 1995 01  5940·
 1994 12 1841·
 1994 11 8142·
 1994 10 2166·
 1994 09 6362.
 1994 08 8675.
 1994 07 4757·
 1994 06 3432·
 1994 05 4534·
 1994 04 8371.
 1994 03 8946·
 1994 02 9355.
 1994 01 8463.
 1993 12  2131·
 1993 11  5333.
 1993 10  7137.
 1993 09  8955.
 1993 08  4051.
 1993 07  645·
 1993 06  7050·
 1993 05  8921·
 1993 04  153.
 1993 03  4437.
 1993 02  1539.
 1993 01  4426.
 1992 12 9239·
 1992 11 8558.
 1992 10 5642·
 1992 09 3261.
 1992 08 2775·
 1992 07 7335·
 1992 06 7033.
 1992 05 6326.
 1992 04 4438.
 1992 03 7839.
 1992 02 5538·
 1992 01 6627.
 1991 12  553.
 1991 11  9446·
 1991 10  3851·
 1991 09  9957.
 1991 08  9865·
 1991 07  4039·
 1991 06  6936.
 1991 05  4438·
 1991 04  3647·
 1991 03  6049.
 1991 02  2445·
 1991 01  631·
 1990 12 5625.
 1990 11 2346·
 1990 10 236.
 1990 09 1859.
 1990 08 2372·
 1990 07 2316.
 1990 06 2924.
 1990 05 3730.
 1990 04 2428·
 1990 03 8031.
 1990 02 5617.
 1990 01 4328.
 1989 12  7137·
 1989 11  3740·
 1989 10  5834·
 1989 09  4435.
 1989 08  243·
 1989 07  6430.
 1989 06  3513·
 1989 05  7134·
 1989 04  8140.
 1989 03  5546·
 1989 02  1326·
 1989 01  8137·
 1988 12 9627.
 1988 11 3031·
 1988 10 4223.
 1988 09 5535.
 1988 08 5850·
 1988 07 3117.
 1988 06 9715.
 1988 05 114.
 1988 04 724.
 1988 03 2920·
 1988 02 8033.
 1988 01 4955.
 1987 12  437.
 1987 11  1749.
 1987 10  1460·
 1987 09  5752·
 1987 08  3843.
 1987 07  1435.
 1987 06  5124.
 1987 05  523·
 1987 04  2324.
 1987 03  6643·
 1987 02  6728·
 1987 01  233.
 1986 12 9442·
 1986 11 4050·
 1986 10 6132·
 1986 09 7866.
 1986 08 1686.
 1986 07 3143.
 1986 06 5832.
 1986 05 8937.
 1986 04 7741·
 1986 03 5958.
 1986 02 1029.
 1986 01 1925.
 1985 12  8948·
 1985 11  6742·
 1985 10  9145·
 1985 09  7258·
 1985 08  9061.
 1985 07  2428.
 1985 06  328·
 1985 05  8236.
 1985 04  4348·
 1985 03  2542·
 1985 02  7032.
 1985 01  435.
 1984 12 3631·
 1984 11 8841.
 1984 10 4232·
 1984 09 2066.
 1984 08 8284.
 1984 07 5932.
 1984 06 9634·
 1984 05 3733.
 1984 04 1936·
 1984 03 542.
 1984 02 3256.
 1984 01 8649.
 1983 12  1059·
 1983 11  2261.
 1983 10  7451·
 1983 09  2590·
 1983 08  4284.
 1983 07  2838.
 1983 06  7442.
 1983 05  3447.
 1983 04  2867.
 1983 03  6762.
 1983 02  649.
 1983 01  2155.
 1982 12 7102·
 1982 11 982.
 1982 10 7263·
 1982 09 16135·
 1982 08 41134.
 1982 07 4859.
 1982 06 9651.
 1982 05 7842·
 1982 04 1872.
 1982 03 276·
 1982 02 2959.
 1982 01 8635.
 1981 12  5156.
 1981 11  1677·
 1981 10  4754·
 1981 09  4988.
 1981 08  7787.
 1981 07  6040·
 1981 06  4938·
 1981 05  9729·
 1981 04  6142.
 1981 03  2757.
 1981 02  6151.
 1981 01  8735·
 1980 12 8951.
 1980 11 3654·
 1980 10 3349.
 1980 09 187.
 1980 08 7582.
 1980 07 3254.
 1980 06 4234.
 1980 05 4643.
 1980 04 5654.
 1980 03 8361.
 1980 02 8745.
 1980 01 5330·
 1979 12  9652.
 1979 11  8549.
 1979 10  9348·
 1979 09  7962.
 1979 08  8252·
 1979 07  5525·
 1979 06  1249.
 1979 05  546.
 1979 04  2733.
 1979 03  3865.
 1979 02  1831·
 1979 01  3855·
 1978 12 6971·
 1978 11 466·
 1978 10 1143.
 1978 09 976·
 1978 08 7188·
 1978 07 4640.
 1978 06 1858·
 1978 05 7749·
 1978 04 2038·
 1978 03 8454·
 1978 02 8958·
 1978 01 2131.
 1977 12  3147.
 1977 11  6162.
 1977 10  9857.
 1977 09  4895·
 1977 08  3966.
 1977 07  4759.
 1977 06  4739.
 1977 05  9244·
 1977 04  1049.
 1977 03  3664.
 1977 02  6140·
 1977 01  672·
 1976 12 2991·
 1976 11 4765·
 1976 10 9033·
 1976 09 7576.
 1976 08 1184.
 1976 07 2533.
 1976 06 958.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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

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      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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