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 Series Title: Number Unemployed for 5-6 weeks 25-34 yrs. Female: NSA (Thousands)
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 1976 06 6448.
 1976 07 6870·
 1976 08 9382.
 1976 09 3352·
 1976 10 1183·
 1976 11 4787.
 1976 12 6859·
 1977 01  2863·
 1977 02  6180·
 1977 03  6246·
 1977 04  8245.
 1977 05  5851.
 1977 06  6668.
 1977 07  9577.
 1977 08  4772.
 1977 09  6960·
 1977 10  155.
 1977 11  5161.
 1977 12  155·
 1978 01 3053·
 1978 02 6670·
 1978 03 6465·
 1978 04 861·
 1978 05 3460·
 1978 06 8659·
 1978 07 8980·
 1978 08 5494.
 1978 09 056.
 1978 10 1172·
 1978 11 868.
 1978 12 5359·
 1979 01  7471·
 1979 02  1860·
 1979 03  2858·
 1979 04  4348.
 1979 05  2445.
 1979 06  751·
 1979 07  81104.
 1979 08  8671·
 1979 09  4347·
 1979 10  269.
 1979 11  2366.
 1979 12  7260·
 1980 01 5270·
 1980 02 5585.
 1980 03 3569·
 1980 04 1175·
 1980 05 9568.
 1980 06 4167.
 1980 07 2593.
 1980 08 4382.
 1980 09 4087.
 1980 10 6085.
 1980 11 2489·
 1980 12 3089·
 1981 01  8184·
 1981 02  3799.
 1981 03  8871.
 1981 04  6078.
 1981 05  3996·
 1981 06  2371·
 1981 07  0126.
 1981 08  4672.
 1981 09  5794·
 1981 10  9499.
 1981 11  65105·
 1981 12  2699.
 1982 01 364.
 1982 02 4976·
 1982 03 1780.
 1982 04 6379.
 1982 05 7396.
 1982 06 1481.
 1982 07 10115·
 1982 08 4499.
 1982 09 86131.
 1982 10 40113.
 1982 11 27103·
 1982 12 83113·
 1983 01  8484·
 1983 02  2105·
 1983 03  7581·
 1983 04  1865.
 1983 05  3978.
 1983 06  9986·
 1983 07  85115·
 1983 08  10102.
 1983 09  4494·
 1983 10  59117.
 1983 11  1482.
 1983 12  4987·
 1984 01 1768.
 1984 02 3198.
 1984 03 4381.
 1984 04 4764.
 1984 05 383.
 1984 06 9078·
 1984 07 79103·
 1984 08 4385·
 1984 09 7288.
 1984 10 3787.
 1984 11 5467·
 1984 12 9778.
 1985 01  1772·
 1985 02  97102·
 1985 03  2588.
 1985 04  089.
 1985 05  5880·
 1985 06  2073.
 1985 07  72103.
 1985 08  6480·
 1985 09  39106·
 1985 10  83113·
 1985 11  3105.
 1985 12  2698.
 1986 01 2887·
 1986 02 85113·
 1986 03 4992.
 1986 04 4978.
 1986 05 2070.
 1986 06 5274·
 1986 07 6799·
 1986 08 2282·
 1986 09 3499.
 1986 10 34108·
 1986 11 38107·
 1986 12 5792·
 1987 01  15103.
 1987 02  6127.
 1987 03  7087·
 1987 04  9261·
 1987 05  3172.
 1987 06  7093·
 1987 07  9463·
 1987 08  9089.
 1987 09  7699·
 1987 10  5084·
 1987 11  66100·
 1987 12  3987.
 1988 01 7086·
 1988 02 9677.
 1988 03 6865·
 1988 04 5249·
 1988 05 5755·
 1988 06 8586·
 1988 07 7104.
 1988 08 6747·
 1988 09 655·
 1988 10 1692.
 1988 11 1495·
 1988 12 4679.
 1989 01  1182·
 1989 02  1580·
 1989 03  4782.
 1989 04  7858·
 1989 05  9172.
 1989 06  3369·
 1989 07  8693.
 1989 08  7579.
 1989 09  9179·
 1989 10  4480·
 1989 11  3854.
 1989 12  7595·
 1990 01 7971.
 1990 02 4996.
 1990 03 3577.
 1990 04 4185.
 1990 05 5065·
 1990 06 7369·
 1990 07 34108·
 1990 08 6263·
 1990 09 22110·
 1990 10 6880.
 1990 11 1689·
 1990 12 4982·
 1991 01  4069.
 1991 02  8114.
 1991 03  8877·
 1991 04  4179.
 1991 05  7495.
 1991 06  9387.
 1991 07  8290.
 1991 08  165.
 1991 09  1792.
 1991 10  49101.
 1991 11  5395·
 1991 12  1797·
 1992 01 88109.
 1992 02 27101·
 1992 03 8584·
 1992 04 184.
 1992 05 3190·
 1992 06 2111.
 1992 07 83101.
 1992 08 9181.
 1992 09 16104.
 1992 10 7483.
 1992 11 7992·
 1992 12 51117·
 1993 01  3780.
 1993 02  68104·
 1993 03  2970·
 1993 04  6793.
 1993 05  1372·
 1993 06  3590.
 1993 07  1686·
 1993 08  5479·
 1993 09  8877.
 1993 10  5184·
 1993 11  4674·
 1993 12  4993·
 1994 01 3153.
 1994 02 1693·
 1994 03 5154.
 1994 04 1446·
 1994 05 3756.
 1994 06 5448.
 1994 07 8770·
 1994 08 3988.
 1994 09 2356·
 1994 10 1791.
 1994 11 3643·
 1994 12 3560.
 1995 01  3628.
 1995 02  8198·
 1995 03  470·
 1995 04  4042.
 1995 05  4350·
 1995 06  4476.
 1995 07  2455.
 1995 08  1858.
 1995 09  3951·
 1995 10  3372.
 1995 11  5280.
 1995 12  5671·
 1996 01 4444.
 1996 02 9885.
 1996 03 6957·
 1996 04 6738·
 1996 05 043.
 1996 06 1567.
 1996 07 8253.
 1996 08 9081.
 1996 09 7826·
 1996 10 8499·
 1996 11 2362·
 1996 12 8689.
 1997 01  7153·
 1997 02  3061·
 1997 03  4857.
 1997 04  4437.
 1997 05  9953·
 1997 06  364.
 1997 07  3964·
 1997 08  7758·
 1997 09  528·
 1997 10  8057·
 1997 11  363.
 1997 12  2358·
 1998 01 6023·
 1998 02 6084.
 1998 03 7161·
 1998 04 4414·
 1998 05 5631·
 1998 06 6961.
 1998 07 151·
 1998 08 2857.
 1998 09 1463.
 1998 10 5749.
 1998 11 7377.
 1998 12 8959·
 1999 01  7642.
 1999 02  072·
 1999 03  9455·
 1999 04  6428.
 1999 05  1429.
 1999 06  9843.
 1999 07  9652.
 1999 08  1628.
 1999 09  2035·
 1999 10  7639.
 1999 11  3546.
 1999 12  3344.
 2000 01 1323.
 2000 02 8546·
 2000 03 9433·
 2000 04 2833·
 2000 05 3914·
 2000 06 033·
 2000 07 7933·
 2000 08 3844.
 2000 09 6534·
 2000 10 2229·
 2000 11 2140.
 2000 12 2761.
 2001 01  8748.
 2001 02  7646·
 2001 03  7758·
 2001 04  8333.
 2001 05  2337·
 2001 06  1242.
 2001 07  2946·
 2001 08  1848·
 2001 09  1726.
 2001 10  644.
 2001 11  8389.


 2001 12  7192·
 2002 01 3945·
 2002 02 5874.
 2002 03 7144.
 2002 04 445.
 2002 05 8357·
 2002 06 9351.
 2002 07 5034.
 2002 08 453·
 2002 09 6832.
 2002 10 6240.
 2002 11 153·
 2002 12 8656·
 2003 01  3740·
 2003 02  4154·

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

Unemployment data for every county in the U.S..
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