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 Series Title: Number Unemployed for 5-6 weeks 65 yrs. & over Female: NSA (Thousands)
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 2003 02  646·
 2003 01  351.
 2002 12 5814.
 2002 11 922·
 2002 10 203.
 2002 09 266.
 2002 08 99
 2002 06 55
 2002 05 925·
 2002 04 657·
 2002 03 901·
 2002 02 663.
 2001 12  301.
 2001 11  352·
 2001 10  452.
 2001 09  706·
 2001 08  112.
 2001 07  415·
 2001 06  2
 2001 04  363·
 2001 03  358.
 2001 02  157·
 2001 01  234.
 2000 12 583.
 2000 11 262.
 2000 10 151·
 2000 09 976·
 2000 08 5510.
 2000 07 362.
 2000 06 214·
 2000 05 363·
 2000 04 725.
 2000 03 3914·
 2000 02 415·
 1999 12  792·
 1999 11  773·
 1999 10  368·
 1999 08  52.
 1999 07  8718·
 1999 06  652·
 1999 04  534·
 1999 03  712·
 1999 02  506·
 1999 01  5510.
 1998 12 407·
 1998 11 203·
 1998 10 792·
 1998 08 913·
 1998 07 717·
 1998 06 603·
 1998 05 145.
 1998 03 41
 1998 02 496.
 1997 12  205.
 1997 11  166.
 1997 10  12.
 1997 09  986.
 1997 08  594·
 1997 07  733.
 1997 06  896.
 1997 05  684·
 1997 04  589.
 1997 02  02·
 1997 01  505.
 1996 12 34
 1996 11 2310·
 1996 10 327·
 1996 09 524·
 1996 08 98
 1996 07 86
 1996 06 347·
 1996 05 91
 1996 04 850·
 1996 03 41·
 1996 02 93
 1996 01 843.
 1995 12  4410.
 1995 11  585.
 1995 10  228·
 1995 09  762·
 1995 08  526·
 1995 07  553·
 1995 06  5910·
 1995 05  361.
 1995 04  94·
 1995 03  275.
 1995 02  673.
 1995 01  594.
 1994 12 403·
 1994 11 304.
 1994 10 3311·
 1994 09 631.
 1994 08 9514.
 1994 07 462·
 1994 06 710·
 1994 05 926·
 1994 04 514·
 1994 03 826.
 1994 02 198.
 1994 01 17
 1993 12  63·
 1993 11  693·
 1993 10  393·
 1993 08  303.
 1993 07  881·
 1993 06  639·
 1993 05  19
 1993 04  522.
 1993 03  452.
 1993 02  484.
 1993 01  737·
 1992 12 251.
 1992 11 543·
 1992 10 282·
 1992 09 37
 1992 07 207.
 1992 06 1511.
 1992 05 363·
 1992 04 766·
 1992 03 306·
 1992 02 537.
 1992 01 283.
 1991 12  763·
 1991 11  751.
 1991 10  197·
 1991 09  874·
 1991 08  513.
 1991 07  997·
 1991 06  88
 1991 05  185·
 1991 04  391.
 1991 03  719·
 1991 02  605.
 1990 12 541.
 1990 11 26·
 1990 10 845.
 1990 09 611·
 1990 08 504.
 1990 07 298.
 1990 06 593.
 1990 05 411.
 1990 04 893·
 1990 03 3210.
 1990 02 398.
 1990 01 76
 1989 11  78
 1989 10  498·
 1989 09  947·
 1989 08  663·
 1989 07  473.
 1989 06  43
 1989 05  172·
 1989 04  371·
 1989 01  5411.
 1988 12 21.
 1988 11 288·
 1988 08 385.
 1988 07 808·
 1988 06 392.
 1988 05 707.
 1988 04 452.
 1988 03 314·
 1988 01 923.
 1987 12  143·
 1987 11  592·
 1987 10  409·
 1987 09  232.
 1987 08  533.
 1987 07  51.
 1987 06  642.
 1987 05  213·
 1987 04  61·
 1987 03  332.
 1987 02  834·
 1987 01  992.
 1986 12 182·
 1986 09 19
 1986 08 43·
 1986 07 935.
 1986 05 571·
 1986 04 642.
 1986 03 607·
 1986 02 683·
 1986 01 181·
 1985 12  914.
 1985 10  63.
 1985 09  113·
 1985 08  192·
 1985 07  537·
 1985 06  244·
 1985 05  357.
 1985 04  65·
 1985 03  246·
 1985 02  211.
 1985 01  786.
 1984 11 472·
 1984 10 43.
 1984 09 293·
 1984 08 34.
 1984 07 365·
 1984 06 207·
 1984 05 43·
 1984 04 974.
 1984 03 921·
 1984 02 213·
 1984 01 286.
 1983 10  7411·
 1983 07  607.
 1983 06  834·
 1983 05  83·
 1983 04  716·
 1983 01  92.
 1982 12 62.
 1982 11 741·
 1982 10 52
 1982 09 335.
 1982 08 166·
 1982 07 851.
 1982 05 46.
 1982 04 501·
 1982 03 631.
 1982 01 204.
 1981 09  402.
 1981 08  64·
 1981 07  234.
 1981 06  884.
 1981 04  985·
 1981 03  69
 1981 02  956·
 1981 01  202.
 1980 12 411·
 1980 11 33
 1980 10 55·
 1980 09 722.
 1980 08 560·
 1980 07 182.
 1980 06 50.
 1980 05 260.
 1980 04 582·
 1980 02 681·
 1980 01 681·
 1979 12  887·
 1979 10  823·
 1979 09  519·
 1979 08  957.
 1979 07  917·
 1979 06  947.
 1979 05  624·
 1979 03  122·
 1979 02  913·
 1979 01  79
 1978 12 213·
 1978 11 707·
 1978 10 6910·
 1978 09 522·
 1978 08 713.
 1978 07 436·
 1978 06 323.
 1978 05 500.
 1978 04 817.
 1978 03 311·
 1978 02 131.
 1978 01 37
 1977 12  451·
 1977 11  624·
 1977 09  661·
 1977 08  98
 1977 07  842.
 1977 06  848·
 1977 05  753·
 1977 03  493.
 1977 02  40
 1977 01  73
 1976 12 462.
 1976 11 27
 1976 10 833.
 1976 09 291·
 1976 08 100·
 1976 07 942.
 1976 06 7
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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.
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 65 yrs. & over 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..
Click for Illinois counties, then follow the example for your state

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