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 Series Title: Number Unemployed for 5-6 weeks 25-34 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 06 048·
 1976 07 370·
 1976 08 9182·
 1976 09 7952.
 1976 10 783.
 1976 11 1587·
 1976 12 4859·
 1977 01  7963·
 1977 02  6180·
 1977 03  746·
 1977 04  8745.
 1977 05  5851.
 1977 06  1368·
 1977 07  6077·
 1977 08  2172·
 1977 09  6260·
 1977 10  3955·
 1977 11  8161.
 1977 12  8855·
 1978 01 5853·
 1978 02 3870.
 1978 03 265.
 1978 04 5161·
 1978 05 4260.
 1978 06 3759·
 1978 07 7980·
 1978 08 9894.
 1978 09 3356·
 1978 10 8472·
 1978 11 9468.
 1978 12 4159·
 1979 01  7471.
 1979 02  5760·
 1979 03  5358·
 1979 04  1948·
 1979 05  3445.
 1979 06  5651·
 1979 07  89104·
 1979 08  9471·
 1979 09  947.
 1979 10  569.
 1979 11  5766·
 1979 12  5460.
 1980 01 1770·
 1980 02 5585.
 1980 03 4069·
 1980 04 1375.
 1980 05 268.
 1980 06 8167·
 1980 07 4593.
 1980 08 782·
 1980 09 3387.
 1980 10 8585·
 1980 11 189·
 1980 12 189·
 1981 01  584·
 1981 02  9099·
 1981 03  6871·
 1981 04  8178·
 1981 05  3696·
 1981 06  4971.
 1981 07  25126.
 1981 08  6172.
 1981 09  7194·
 1981 10  3599.
 1981 11  80105·
 1981 12  7999.
 1982 01 7964.
 1982 02 5076·
 1982 03 6480·
 1982 04 9879.
 1982 05 5496.
 1982 06 1981·
 1982 07 35115·
 1982 08 499·
 1982 09 15131·
 1982 10 92113.
 1982 11 73103·
 1982 12 12113·
 1983 01  684.
 1983 02  44105.
 1983 03  8581·
 1983 04  5965·
 1983 05  9778.
 1983 06  7786.
 1983 07  3115·
 1983 08  9102·
 1983 09  8294·
 1983 10  15117·
 1983 11  8382·
 1983 12  4887·
 1984 01 7968·
 1984 02 898·
 1984 03 881.
 1984 04 9064·
 1984 05 3383·
 1984 06 3378.
 1984 07 84103·
 1984 08 7385·
 1984 09 1388.
 1984 10 9087·
 1984 11 4267·
 1984 12 6078·
 1985 01  1372.
 1985 02  3102·
 1985 03  3988.
 1985 04  3889.
 1985 05  5280·
 1985 06  2473.
 1985 07  57103.
 1985 08  2080·
 1985 09  75106·
 1985 10  28113·
 1985 11  2105·
 1985 12  4598.
 1986 01 5187·
 1986 02 14113.
 1986 03 692·
 1986 04 7578·
 1986 05 7370·
 1986 06 1074·
 1986 07 2699·
 1986 08 9882·
 1986 09 6199·
 1986 10 64108·
 1986 11 43107.
 1986 12 2792·
 1987 01  59103·
 1987 02  52127·
 1987 03  6487.
 1987 04  061.
 1987 05  3672·
 1987 06  7593·
 1987 07  2163·
 1987 08  8089.
 1987 09  8799·
 1987 10  5984·
 1987 11  70100·
 1987 12  5487.
 1988 01 2986·
 1988 02 5277·
 1988 03 9365·
 1988 04 3649.
 1988 05 955.
 1988 06 3286.
 1988 07 96104.
 1988 08 6347·
 1988 09 9455.
 1988 10 9892·
 1988 11 1295.
 1988 12 9979.
 1989 01  7982·
 1989 02  7580·
 1989 03  9682·
 1989 04  3158·
 1989 05  8372.
 1989 06  1569.
 1989 07  3093·
 1989 08  7279.
 1989 09  5079·
 1989 10  9280.
 1989 11  2254.
 1989 12  6095.
 1990 01 4971·
 1990 02 796·
 1990 03 377·
 1990 04 5885.
 1990 05 7565·
 1990 06 8569.
 1990 07 28108·
 1990 08 5463.
 1990 09 46110.
 1990 10 7780.
 1990 11 8189.
 1990 12 6082.
 1991 01  769·
 1991 02  57114·
 1991 03  6777.
 1991 04  1579·
 1991 05  2795·
 1991 06  2787.
 1991 07  1990·
 1991 08  8265.
 1991 09  9992·
 1991 10  12101.
 1991 11  9295·
 1991 12  4797.
 1992 01 44109.
 1992 02 62101.
 1992 03 7084.
 1992 04 2584.
 1992 05 590.
 1992 06 52111.
 1992 07 57101.
 1992 08 5381·
 1992 09 51104·
 1992 10 8483.
 1992 11 8692·
 1992 12 95117·
 1993 01  7780·
 1993 02  82104·
 1993 03  1370.
 1993 04  3793·
 1993 05  272.
 1993 06  9690·
 1993 07  2186.
 1993 08  9379·
 1993 09  6977·
 1993 10  384·
 1993 11  1574·
 1993 12  093.
 1994 01 4953·
 1994 02 293·
 1994 03 2854·
 1994 04 2246·
 1994 05 3456·
 1994 06 1948·
 1994 07 1670.
 1994 08 4788.
 1994 09 4556·
 1994 10 591.
 1994 11 6043·
 1994 12 8760·
 1995 01  2528.
 1995 02  3498·
 1995 03  6870.
 1995 04  8042·
 1995 05  4350.
 1995 06  776·
 1995 07  7155·
 1995 08  8958·
 1995 09  9451·
 1995 10  4972·
 1995 11  2580.
 1995 12  371.
 1996 01 9744·
 1996 02 1285.
 1996 03 1357.
 1996 04 3338·
 1996 05 9643·
 1996 06 6967.
 1996 07 4053.
 1996 08 1881.
 1996 09 6026.
 1996 10 2399·
 1996 11 3962.
 1996 12 2189·
 1997 01  8353·
 1997 02  9761.
 1997 03  6757·
 1997 04  3037.
 1997 05  8553·
 1997 06  4364·
 1997 07  364·
 1997 08  5658.
 1997 09  928·
 1997 10  3557·
 1997 11  5763.
 1997 12  4058·
 1998 01 2423.
 1998 02 7584.
 1998 03 5861·
 1998 04 4214.
 1998 05 2631.
 1998 06 8861.
 1998 07 6451·
 1998 08 5257.
 1998 09 3263.
 1998 10 2349.
 1998 11 5777.
 1998 12 8259·
 1999 01  8742·
 1999 02  5772.
 1999 03  4255.
 1999 04  7028.
 1999 05  6129.
 1999 06  8943·
 1999 07  5352.
 1999 08  7828.
 1999 09  4735.
 1999 10  4639·
 1999 11  4446.
 1999 12  9544·
 2000 01 6423·
 2000 02 7746.
 2000 03 9833·
 2000 04 3433·
 2000 05 5714.
 2000 06 5833.
 2000 07 2233·
 2000 08 3344.
 2000 09 9534·
 2000 10 8929.
 2000 11 4740·
 2000 12 5461.
 2001 01  7248.
 2001 02  9646.
 2001 03  3058.
 2001 04  8533·
 2001 05  637·
 2001 06  3042.
 2001 07  5346.
 2001 08  3948.
 2001 09  4326.
 2001 10  6444·
 2001 11  2189·


 2001 12  5492.
 2002 01 5145·
 2002 02 174·
 2002 03 6844.
 2002 04 9345.
 2002 05 2557.
 2002 06 6551.
 2002 07 4834·
 2002 08 4553.
 2002 09 8332·
 2002 10 740·
 2002 11 4553·
 2002 12 2056.
 2003 01  7040.
 2003 02  154·

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 5-6 weeks 25-34 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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