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 Series Title: Number Unemployed for 5-6 weeks 65 yrs. & over Male: NSA (Thousands)
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 2003 02  914·
 2003 01  385.
 2002 12 413.
 2002 11 50
 2002 10 509.
 2002 08 742.
 2002 07 984.
 2002 06 27
 2002 05 4514·
 2002 03 967.
 2002 02 8210.
 2002 01 903.
 2001 12  4518·
 2001 11  8616.
 2001 10  667·
 2001 09  832.
 2001 08  242·
 2001 07  497.
 2001 06  900·
 2001 05  752·
 2001 04  831.
 2001 03  198·
 2001 02  163·
 2001 01  619.
 2000 12 4811.
 2000 11 51
 2000 09 327.
 2000 08 609.
 2000 06 687·
 2000 05 274·
 2000 04 50
 2000 03 154.
 2000 02 1914·
 2000 01 551.
 1999 12  102.
 1999 11  9710.
 1999 10  2
 1999 09  643.
 1999 08  737.
 1999 07  997.
 1999 05  423.
 1999 04  133.
 1999 03  283.
 1999 02  407.
 1998 12 907.
 1998 11 824.
 1998 10 87
 1998 09 644·
 1998 08 202.
 1998 07 793·
 1998 06 884.
 1998 04 416·
 1998 03 338·
 1998 02 357·
 1998 01 942·
 1997 11  653.
 1997 10  55
 1997 09  65.
 1997 08  942.
 1997 06  55
 1997 05  3612.
 1997 04  751·
 1997 03  0
 1997 02  544.
 1996 12 51
 1996 10 480.
 1996 09 493·
 1996 08 33
 1996 07 13·
 1996 06 561·
 1996 05 68.
 1996 04 851·
 1996 03 10
 1996 02 57
 1996 01 577·
 1995 12  292·
 1995 11  318.
 1995 10  314.
 1995 09  154·
 1995 08  104·
 1995 07  373·
 1995 06  8613·
 1995 05  1920.
 1995 04  975·
 1995 03  299·
 1995 02  53
 1995 01  315·
 1994 12 832.
 1994 11 3313·
 1994 10 89
 1994 09 401.
 1994 08 89
 1994 07 01·
 1994 06 753·
 1994 05 577·
 1994 04 572.
 1994 03 35·
 1994 02 1810·
 1994 01 222.
 1993 12  582·
 1993 11  448·
 1993 10  502.
 1993 09  967.
 1993 08  856·
 1993 06  496.
 1993 05  272·
 1993 04  691.
 1993 03  584.
 1993 02  671·
 1993 01  312·
 1992 12 521.
 1992 11 213·
 1992 09 749·
 1992 08 693.
 1992 07 834.
 1992 06 42
 1992 05 711·
 1992 04 738·
 1992 02 264·
 1992 01 167.
 1991 11  821.
 1991 09  986.
 1991 08  694.
 1991 06  622.
 1991 05  593·
 1991 04  266·
 1991 02  233·
 1991 01  25
 1990 11 766.
 1990 10 6510·
 1990 09 286.
 1990 08 739·
 1990 07 345.
 1990 06 461.
 1990 05 463.
 1990 04 0
 1990 03 585.
 1990 02 2514.
 1990 01 643.
 1989 12  272·
 1989 11  08·
 1989 10  8414·
 1989 09  971.
 1989 08  963·
 1989 07  333.
 1989 06  303.
 1989 05  817.
 1989 03  76
 1989 02  585·
 1989 01  946.
 1988 12 798·
 1988 11 632·
 1988 10 22.
 1988 07 341·
 1988 06 812.
 1988 04 761.
 1988 03 145·
 1988 02 309.
 1988 01 977·
 1987 12  574.
 1987 11  706.
 1987 09  894.
 1987 08  672.
 1987 07  772.
 1987 06  694.
 1987 05  432·
 1987 04  537·
 1987 02  308.
 1987 01  383·
 1986 12 492.
 1986 11 431.
 1986 10 347·
 1986 09 273·
 1986 08 881·
 1986 07 506.
 1986 06 359.
 1986 05 127.
 1986 04 681·
 1986 03 119·
 1986 02 011.
 1986 01 924·
 1985 12  184.
 1985 11  913.
 1985 10  25
 1985 09  932·
 1985 08  971·
 1985 07  76
 1985 06  289.
 1985 05  6511·
 1985 04  854·
 1985 03  795.
 1985 02  542.
 1985 01  845.
 1984 12 90
 1984 11 393.
 1984 10 712.
 1984 08 504.
 1984 07 434.
 1984 06 181.
 1984 04 742·
 1984 03 891·
 1984 02 18.
 1984 01 52·
 1983 12  823·
 1983 11  515.
 1983 10  452.
 1983 09  11
 1983 08  3912·
 1983 07  112.
 1983 06  821.
 1983 05  751.
 1983 03  147.
 1983 02  707.
 1983 01  446.
 1982 12 609.
 1982 11 14·
 1982 10 547·
 1982 09 873.
 1982 08 5410.
 1982 07 209.
 1982 06 114.
 1982 05 937.
 1982 04 709.
 1982 03 157·
 1982 02 194.
 1982 01 687.
 1981 12  456·
 1981 10  547.
 1981 08  774.
 1981 06  453.
 1981 05  423·
 1981 04  321.
 1981 03  115·
 1981 02  797·
 1981 01  506.
 1980 12 695·
 1980 11 707.
 1980 10 537.
 1980 09 803·
 1980 08 74·
 1980 07 327.
 1980 06 73
 1980 05 726.
 1980 04 176.
 1980 03 956·
 1980 02 714·
 1980 01 887·
 1979 12  924.
 1979 11  852.
 1979 10  412.
 1979 09  161·
 1979 08  522.
 1979 07  547·
 1979 06  525·
 1979 05  683.
 1979 04  409·
 1979 03  7511.
 1979 02  235·
 1979 01  8313.
 1978 12 278.
 1978 11 495·
 1978 10 48
 1978 09 241·
 1978 07 54.
 1978 06 36·
 1978 05 857·
 1978 04 788.
 1978 03 95
 1978 02 866.
 1978 01 145.
 1977 12  583.
 1977 11  407·
 1977 10  732.
 1977 09  425.
 1977 08  310.
 1977 07  911·
 1977 05  655.
 1977 03  14·
 1977 02  7419.
 1977 01  973·
 1976 12 8815.
 1976 11 487.
 1976 10 613·
 1976 09 2315.
 1976 08 9111·
 1976 07 6310·
 1976 06 753.
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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 65 yrs. & over Male: 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..
Click for Illinois counties, then follow the example for your state

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