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 Series Title: Number Unemployed for 5-6 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  8242·
 2003 01  011·
 2002 12 5636·
 2002 11 2041·
 2002 10 8848·
 2002 09 5720.
 2002 08 2834.
 2002 07 29108·
 2002 06 7261.
 2002 05 2530·
 2002 04 1343·
 2002 03 5026.
 2002 02 8649.
 2002 01 8520.
 2001 12  2541.
 2001 11  2741·
 2001 10  541·
 2001 09  4444.
 2001 08  036·
 2001 07  27103.
 2001 06  2936.
 2001 05  3512·
 2001 04  325·
 2001 03  4628.
 2001 02  8339.
 2001 01  1226·
 2000 12 2163.
 2000 11 359.
 2000 10 1740.
 2000 09 5929·
 2000 08 6634.
 2000 07 4272.
 2000 06 830·
 2000 05 8234.
 2000 04 7847·
 2000 03 3235.
 2000 02 5645·
 2000 01 1318.
 1999 12  1838.
 1999 11  6733.
 1999 10  8541.
 1999 09  726.
 1999 08  7443·
 1999 07  6698·
 1999 06  4740.
 1999 05  4723·
 1999 04  6046.
 1999 03  7427·
 1999 02  1743·
 1999 01  4024·
 1998 12 1426.
 1998 11 5958.
 1998 10 9463.
 1998 09 1624.
 1998 08 9749·
 1998 07 1655·
 1998 06 658.
 1998 05 3334·
 1998 04 9922.
 1998 03 6451·
 1998 02 132.
 1998 01 7310.
 1997 12  3154·
 1997 11  4639·
 1997 10  5545.
 1997 09  4118.
 1997 08  3354·
 1997 07  3369·
 1997 06  7052·
 1997 05  7048.
 1997 04  6630·
 1997 03  1950.
 1997 02  6943·
 1997 01  1623.
 1996 12 1971·
 1996 11 2124.
 1996 10 453·
 1996 09 6139·
 1996 08 533·
 1996 07 8594·
 1996 06 4972·
 1996 05 1239·
 1996 04 6015.
 1996 03 8045·
 1996 02 666·
 1996 01 036.
 1995 12  5061.
 1995 11  045.
 1995 10  050.
 1995 09  8112.
 1995 08  6050·
 1995 07  6481.
 1995 06  8050·
 1995 05  3849.
 1995 04  535·
 1995 03  1544·
 1995 02  2368.
 1995 01  7716·
 1994 12 2129·
 1994 11 2433.
 1994 10 2970.
 1994 09 3020·
 1994 08 7345·
 1994 07 8571·
 1994 06 2373·
 1994 05 5355.
 1994 04 4734·
 1994 03 1642.
 1994 02 5664·
 1994 01 2833·
 1993 12  5770·
 1993 11  6153·
 1993 10  258·
 1993 09  6144.
 1993 08  4042·
 1993 07  91137·
 1993 06  6372·
 1993 05  8529·
 1993 04  6052.
 1993 03  9846.
 1993 02  6437.
 1993 01  5639.
 1992 12 560·
 1992 11 348·
 1992 10 5559.
 1992 09 5541.
 1992 08 8653.
 1992 07 49155·
 1992 06 1275.
 1992 05 9045.
 1992 04 4324·
 1992 03 540·
 1992 02 3449·
 1992 01 9134.
 1991 12  3770.
 1991 11  6536·
 1991 10  4865·
 1991 09  1651.
 1991 08  5873.
 1991 07  50139·
 1991 06  448·
 1991 05  4637.
 1991 04  1728·
 1991 03  249.
 1991 02  7650·
 1991 01  8748·
 1990 12 5354·
 1990 11 9133·
 1990 10 6763.
 1990 09 7247.
 1990 08 2938·
 1990 07 11108·
 1990 06 048·
 1990 05 5746·
 1990 04 3251.
 1990 03 8242·
 1990 02 2639.
 1990 01 2441.
 1989 12  7650·
 1989 11  4634.
 1989 10  2145·
 1989 09  7935·
 1989 08  9768·
 1989 07  75106.
 1989 06  8562.
 1989 05  5444·
 1989 04  6037.
 1989 03  6118·
 1989 02  4456·
 1989 01  652·
 1988 12 5249.
 1988 11 2344·
 1988 10 4747.
 1988 09 1656.
 1988 08 8639·
 1988 07 786·
 1988 06 7169.
 1988 05 9157·
 1988 04 046·
 1988 03 8144.
 1988 02 1565.
 1988 01 6237.
 1987 12  5628·
 1987 11  3947.
 1987 10  659.
 1987 09  8632·
 1987 08  4350·
 1987 07  0121.
 1987 06  9264·
 1987 05  4559.
 1987 04  7329.
 1987 03  953·
 1987 02  5171·
 1987 01  4641.
 1986 12 8538.
 1986 11 3454.
 1986 10 8293.
 1986 09 2068·
 1986 08 4165·
 1986 07 7098·
 1986 06 1063·
 1986 05 2344·
 1986 04 3048.
 1986 03 3629.
 1986 02 8769·
 1986 01 3872·
 1985 12  6346.
 1985 11  7644·
 1985 10  8665.
 1985 09  7141.
 1985 08  7951·
 1985 07  60139.
 1985 06  1077.
 1985 05  5341·
 1985 04  4167.
 1985 03  8068.
 1985 02  8282·
 1985 01  4246.
 1984 12 3756.
 1984 11 5854.
 1984 10 5559.
 1984 09 1851·
 1984 08 7968.
 1984 07 35147.
 1984 06 289.
 1984 05 9042.
 1984 04 660.
 1984 03 8337·
 1984 02 2463·
 1984 01 8745·
 1983 12  8168.
 1983 11  9472·
 1983 10  4792.
 1983 09  6768.
 1983 08  9098·
 1983 07  89160.
 1983 06  2293·
 1983 05  1274·
 1983 04  4850.
 1983 03  1074·
 1983 02  2285·
 1983 01  2851.
 1982 12 9247·
 1982 11 2840.
 1982 10 5078·
 1982 09 4646.
 1982 08 8574·
 1982 07 37193.
 1982 06 3079.
 1982 05 2474.
 1982 04 1483·
 1982 03 5550·
 1982 02 1277.
 1982 01 4347.
 1981 12  9456·
 1981 11  2660.
 1981 10  73107.
 1981 09  1055.
 1981 08  6168.
 1981 07  21132.
 1981 06  1280·
 1981 05  5671·
 1981 04  7831·
 1981 03  3362·
 1981 02  5564·
 1981 01  3844·
 1980 12 3438.
 1980 11 8062·
 1980 10 5292.
 1980 09 3865·
 1980 08 4138.
 1980 07 9173.
 1980 06 79102·
 1980 05 6245·
 1980 04 3861·
 1980 03 8665.
 1980 02 3691·
 1980 01 4154.
 1979 12  8668.
 1979 11  758·
 1979 10  48117·
 1979 09  3471.
 1979 08  7554·
 1979 07  91169·
 1979 06  6684·
 1979 05  2061·
 1979 04  1662·
 1979 03  8239.
 1979 02  6555.
 1979 01  851.
 1978 12 4847.
 1978 11 4955.
 1978 10 4696.
 1978 09 2781·
 1978 08 3476·
 1978 07 86191.
 1978 06 3472.
 1978 05 3668.
 1978 04 6150.
 1978 03 1261·
 1978 02 7978.
 1978 01 1668·
 1977 12  4366.
 1977 11  7146·
 1977 10  5699·
 1977 09  7353.
 1977 08  1784·
 1977 07  34176.
 1977 06  6787.
 1977 05  3952·
 1977 04  4668.
 1977 03  9256·
 1977 02  3782·
 1977 01  7068·
 1976 12 1880.
 1976 11 6774.
 1976 10 1587.
 1976 09 4979·
 1976 08 4792.
 1976 07 2174·
 1976 06 7899.
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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

Input your search text below.
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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 5-6 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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