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 Series Title: Number Unemployed for 7-10 weeks 65 yrs. & overFemale: NSA (Thousands)
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 2003 02  437.
 2003 01  3312.
 2002 12 3511.
 2002 11 842.
 2002 10 3825·
 2002 09 56
 2002 08 24.
 2002 07 6611.
 2002 06 2314·
 2002 05 32.
 2002 04 9413.
 2002 03 7320.
 2002 02 51
 2002 01 5413·
 2001 12  252.
 2001 11  473·
 2001 10  9513.
 2001 09  188.
 2001 08  3312.
 2001 07  5810.
 2001 05  575·
 2001 04  252.
 2001 03  814.
 2001 02  03.
 2001 01  622.
 2000 11 327.
 2000 10 562.
 2000 09 929·
 2000 08 613·
 2000 07 206.
 2000 06 717.
 2000 05 7913.
 2000 04 279.
 2000 03 970.
 2000 02 658·
 2000 01 298·
 1999 12  637.
 1999 11  941.
 1999 09  9910·
 1999 08  3714·
 1999 07  943·
 1999 06  6812·
 1999 05  634.
 1999 04  216.
 1999 03  697.
 1999 02  02·
 1999 01  6913·
 1998 12 272·
 1998 11 6513.
 1998 10 960.
 1998 09 554·
 1998 08 225.
 1998 07 8114·
 1998 06 8915·
 1998 05 831·
 1998 04 21·
 1998 03 43
 1998 02 364·
 1998 01 4211·
 1997 11  8510.
 1997 10  21·
 1997 09  175.
 1997 08  448.
 1997 07  164.
 1997 06  324.
 1997 05  39
 1997 04  281·
 1997 03  637.
 1997 02  359.
 1997 01  357·
 1996 12 567.
 1996 11 218.
 1996 10 356·
 1996 09 606.
 1996 08 169·
 1996 07 913.
 1996 06 845·
 1996 04 977.
 1996 03 219·
 1996 02 716·
 1996 01 5511.
 1995 12  516.
 1995 11  97.
 1995 10  763·
 1995 09  518.
 1995 08  567.
 1995 07  4310·
 1995 06  193.
 1995 05  951·
 1995 04  66
 1995 03  118.
 1995 02  185·
 1995 01  3910.
 1994 12 656.
 1994 11 2522.
 1994 10 174.
 1994 09 585.
 1994 08 586.
 1994 07 2414.
 1994 06 8713·
 1994 05 525.
 1994 04 774.
 1994 03 706·
 1994 02 2010.
 1994 01 4712·
 1993 12  796·
 1993 11  516.
 1993 09  364.
 1993 08  948·
 1993 07  464·
 1993 06  815.
 1993 05  807.
 1993 04  663.
 1993 03  832·
 1993 02  977.
 1993 01  2010·
 1992 12 661·
 1992 11 244.
 1992 10 615.
 1992 09 507.
 1992 08 1710.
 1992 07 249.
 1992 06 636.
 1992 05 9011.
 1992 04 728.
 1992 03 65
 1992 02 148.
 1992 01 845.
 1991 12  46.
 1991 11  535.
 1991 10  533.
 1991 09  09.
 1991 08  157·
 1991 07  214·
 1991 06  427·
 1991 05  347·
 1991 04  30
 1991 03  258.
 1991 02  7010.
 1991 01  312.
 1990 12 991·
 1990 11 473.
 1990 10 493.
 1990 09 5310·
 1990 08 987.
 1990 07 928.
 1990 06 184.
 1990 05 5312.
 1990 04 278.
 1990 03 9413.
 1990 02 38
 1990 01 9615.
 1989 12  113·
 1989 11  84·
 1989 09  984·
 1989 08  214·
 1989 07  07.
 1989 06  178.
 1989 05  129.
 1989 04  141·
 1989 03  7113·
 1989 02  2613·
 1989 01  1510·
 1988 12 35·
 1988 11 243.
 1988 09 676.
 1988 08 732.
 1988 06 623.
 1988 05 844.
 1988 04 983.
 1988 03 723·
 1988 02 106.
 1987 10  16.
 1987 09  991.
 1987 08  264·
 1987 07  914·
 1987 06  50
 1987 05  781·
 1987 03  725·
 1987 02  754.
 1987 01  336.
 1986 12 666.
 1986 11 735.
 1986 10 563·
 1986 09 742.
 1986 08 203.
 1986 07 177.
 1986 05 5311.
 1986 04 255·
 1986 02 205·
 1986 01 177.
 1985 12  94.
 1985 10  59
 1985 09  751·
 1985 08  112.
 1985 07  956.
 1985 06  78
 1985 05  154·
 1985 04  621.
 1985 03  44.
 1985 02  87.
 1985 01  987.
 1984 12 575.
 1984 11 555·
 1984 10 983.
 1984 09 42.
 1984 08 1110·
 1984 07 934·
 1984 06 233.
 1984 05 413.
 1984 04 592.
 1984 03 875·
 1984 02 854.
 1984 01 409·
 1983 12  663.
 1983 11  319·
 1983 10  97·
 1983 09  584.
 1983 08  1910·
 1983 07  4314.
 1983 06  452·
 1983 05  765.
 1983 04  317.
 1983 02  694.
 1983 01  681·
 1982 12 23.
 1982 11 4011·
 1982 10 77
 1982 09 79
 1982 08 663·
 1982 07 92·
 1982 06 615.
 1982 05 39·
 1982 04 255.
 1982 03 268·
 1982 02 4113·
 1982 01 905·
 1981 12  617.
 1981 11  38.
 1981 10  608·
 1981 09  175·
 1981 08  818·
 1981 07  796·
 1981 06  885·
 1981 05  8316.
 1981 04  169.
 1981 03  179·
 1981 02  2011·
 1981 01  142.
 1980 12 234·
 1980 11 48.
 1980 10 737·
 1980 09 60
 1980 08 843.
 1980 07 532.
 1980 06 930.
 1980 05 9710.
 1980 04 53.
 1980 03 26.
 1980 02 487.
 1980 01 242·
 1979 12  180·
 1979 11  143·
 1979 10  32
 1979 09  685.
 1979 08  798.
 1979 07  787·
 1979 06  655·
 1979 05  7910.
 1979 04  705.
 1979 03  512.
 1979 02  919.
 1979 01  326.
 1978 12 987.
 1978 11 33
 1978 10 7910·
 1978 09 275.
 1978 08 946·
 1978 07 261·
 1978 06 234.
 1978 05 907.
 1978 04 163·
 1978 03 727.
 1978 02 424·
 1978 01 724.
 1977 12  448.
 1977 11  834.
 1977 10  812.
 1977 09  4710·
 1977 08  859.
 1977 07  9710.
 1977 06  85.
 1977 05  162·
 1977 04  725.
 1977 03  783.
 1977 02  185·
 1977 01  53.
 1976 12 593.
 1976 11 125.
 1976 10 29
 1976 09 631.
 1976 08 313·
 1976 07 14
 1976 06 87
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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 7-10 weeks 65 yrs. & overFemale: 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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