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 Series Title: Number Unemployed for 5-6 weeks 20-24 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  4541·
 2003 01  7122·
 2002 12 4439·
 2002 11 8442·
 2002 10 3844.
 2002 09 5232·
 2002 08 7743·
 2002 07 9348·
 2002 06 5955.
 2002 05 9436·
 2002 04 7429·
 2002 03 6332·
 2002 02 6043.
 2002 01 7825.
 2001 12  4853.
 2001 11  3825·
 2001 10  1525·
 2001 09  1236·
 2001 08  3538.
 2001 07  8854.
 2001 06  2551·
 2001 05  2733·
 2001 04  027.
 2001 03  732.
 2001 02  1646.
 2001 01  7936·
 2000 12 2938.
 2000 11 1326.
 2000 10 3828·
 2000 09 5021.
 2000 08 3627·
 2000 07 5155·
 2000 06 6548.
 2000 05 4728.
 2000 04 5916·
 2000 03 9027.
 2000 02 054.
 2000 01 113.
 1999 12  6121·
 1999 11  2424·
 1999 10  6627·
 1999 09  7028·
 1999 08  2942·
 1999 07  7237.
 1999 06  1440·
 1999 05  3422·
 1999 04  7726·
 1999 03  7944.
 1999 02  2144·
 1999 01  116·
 1998 12 4220·
 1998 11 1427.
 1998 10 8537.
 1998 09 216·
 1998 08 8752·
 1998 07 7036.
 1998 06 3347·
 1998 05 9352·
 1998 04 128·
 1998 03 6719.
 1998 02 1542.
 1998 01 5722·
 1997 12  9532·
 1997 11  4935·
 1997 10  628·
 1997 09  9929·
 1997 08  847.
 1997 07  8535.
 1997 06  775·
 1997 05  5351·
 1997 04  321·
 1997 03  6933.
 1997 02  4361.
 1997 01  7318.
 1996 12 6848·
 1996 11 2133.
 1996 10 6560·
 1996 09 4230.
 1996 08 1554·
 1996 07 8548.
 1996 06 4742·
 1996 05 6722·
 1996 04 8320·
 1996 03 2943·
 1996 02 9056·
 1996 01 7924·
 1995 12  3443.
 1995 11  4858·
 1995 10  2150.
 1995 09  3540·
 1995 08  5648.
 1995 07  6156·
 1995 06  8856.
 1995 05  1640.
 1995 04  6220.
 1995 03  1235.
 1995 02  6850·
 1995 01  2932·
 1994 12 9024·
 1994 11 7033·
 1994 10 6026.
 1994 09 625.
 1994 08 365.
 1994 07 2951.
 1994 06 9170·
 1994 05 333·
 1994 04 8916.
 1994 03 1041·
 1994 02 1055.
 1994 01 223.
 1993 12  6153·
 1993 11  5556·
 1993 10  9469·
 1993 09  1056·
 1993 08  5685.
 1993 07  3388.
 1993 06  4268·
 1993 05  5856·
 1993 04  3853·
 1993 03  4062.
 1993 02  7956.
 1993 01  371·
 1992 12 9461.
 1992 11 9450·
 1992 10 5756·
 1992 09 2767·
 1992 08 3781.
 1992 07 3999.
 1992 06 5076.
 1992 05 3546.
 1992 04 651.
 1992 03 4452·
 1992 02 59104.
 1992 01 6148·
 1991 12  6258.
 1991 11  455.
 1991 10  1099.
 1991 09  6043·
 1991 08  9462.
 1991 07  3774·
 1991 06  5270.
 1991 05  1446.
 1991 04  1552·
 1991 03  8943·
 1991 02  6164.
 1991 01  3064·
 1990 12 6360·
 1990 11 2749.
 1990 10 3862·
 1990 09 3958·
 1990 08 073·
 1990 07 4754.
 1990 06 874.
 1990 05 9947.
 1990 04 1553.
 1990 03 6648.
 1990 02 2143.
 1990 01 9019.
 1989 12  2134.
 1989 11  3054.
 1989 10  5353.
 1989 09  1934·
 1989 08  5450.
 1989 07  875.
 1989 06  444.
 1989 05  1842·
 1989 04  7948.
 1989 03  9335·
 1989 02  9943.
 1989 01  4446.
 1988 12 8237.
 1988 11 528·
 1988 10 8946.
 1988 09 7824.
 1988 08 7850.
 1988 07 8862·
 1988 06 5049.
 1988 05 2758·
 1988 04 323·
 1988 03 1054·
 1988 02 8161.
 1988 01 2246·
 1987 12  2148.
 1987 11  6847·
 1987 10  869.
 1987 09  2153.
 1987 08  2075·
 1987 07  7878·
 1987 06  8147·
 1987 05  458.
 1987 04  1261.
 1987 03  8657·
 1987 02  7782·
 1987 01  7962.
 1986 12 3651·
 1986 11 6167·
 1986 10 9489.
 1986 09 7775·
 1986 08 5359.
 1986 07 96118·
 1986 06 5986.
 1986 05 5569.
 1986 04 5363·
 1986 03 1171·
 1986 02 2287·
 1986 01 9468.
 1985 12  4869.
 1985 11  5184·
 1985 10  5998.
 1985 09  147·
 1985 08  7667·
 1985 07  8387.
 1985 06  69104·
 1985 05  766·
 1985 04  056.
 1985 03  353.
 1985 02  7855·
 1985 01  7046·
 1984 12 896·
 1984 11 3075.
 1984 10 3799·
 1984 09 7170.
 1984 08 1281.
 1984 07 689·
 1984 06 2164.
 1984 05 1742·
 1984 04 5055.
 1984 03 344·
 1984 02 3081.
 1984 01 3884·
 1983 12  8660·
 1983 11  1459·
 1983 10  9070.
 1983 09  9369·
 1983 08  877·
 1983 07  5864.
 1983 06  5171.
 1983 05  6264·
 1983 04  2765·
 1983 03  7883.
 1983 02  89107.
 1983 01  5238·
 1982 12 8387.
 1982 11 4685·
 1982 10 3102.
 1982 09 9468·
 1982 08 3773.
 1982 07 5388.
 1982 06 2083·
 1982 05 4772.
 1982 04 7949·
 1982 03 2079·
 1982 02 89107·
 1982 01 9072·
 1981 12  2074.
 1981 11  9160.
 1981 10  8664·
 1981 09  3159·
 1981 08  9878·
 1981 07  35114.
 1981 06  1276·
 1981 05  176.
 1981 04  7852·
 1981 03  4636·
 1981 02  9286.
 1981 01  5770.
 1980 12 4569.
 1980 11 4383·
 1980 10 7684·
 1980 09 8181.
 1980 08 1473.
 1980 07 70109·
 1980 06 39103.
 1980 05 7972·
 1980 04 2273.
 1980 03 9737·
 1980 02 8376·
 1980 01 8359·
 1979 12  3361.
 1979 11  1834.
 1979 10  3175.
 1979 09  5038·
 1979 08  3367.
 1979 07  5182.
 1979 06  3644·
 1979 05  6148.
 1979 04  3632.
 1979 03  4141·
 1979 02  7267.
 1979 01  2260.
 1978 12 8069·
 1978 11 5754·
 1978 10 4060.
 1978 09 6670·
 1978 08 2759.
 1978 07 93100.
 1978 06 6484.
 1978 05 4961.
 1978 04 6664·
 1978 03 6852.
 1978 02 9680.
 1978 01 5369.
 1977 12  1069.
 1977 11  2752·
 1977 10  1077·
 1977 09  8456·
 1977 08  9578·
 1977 07  3888.
 1977 06  861·
 1977 05  7441·
 1977 04  8628·
 1977 03  9756·
 1977 02  14105·
 1977 01  8077·
 1976 12 7063·
 1976 11 2173·
 1976 10 7970.
 1976 09 8358·
 1976 08 6065·
 1976 07 5487.
 1976 06 7949.
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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 20-24 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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