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 Series Title: Number Unemployed for 7-10 weeks 55-64 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  71115.
 2003 01  1690·
 2002 12 6375·
 2002 11 793.
 2002 10 6977·
 2002 09 7273.
 2002 08 4089.
 2002 07 2896.
 2002 06 7174.
 2002 05 6348·
 2002 04 5560·
 2002 03 85101.
 2002 02 28105·
 2002 01 72108·
 2001 12  2284.
 2001 11  2362.
 2001 10  1467·
 2001 09  577·
 2001 08  7865·
 2001 07  1056.
 2001 06  3040·
 2001 05  9557.
 2001 04  8539.
 2001 03  4052·
 2001 02  284·
 2001 01  9640.
 2000 12 3359.
 2000 11 3357·
 2000 10 7938·
 2000 09 9255·
 2000 08 3466·
 2000 07 3350·
 2000 06 3848·
 2000 05 8925.
 2000 04 2546·
 2000 03 1074·
 2000 02 7861.
 2000 01 1880·
 1999 12  7148·
 1999 11  5651·
 1999 10  2537·
 1999 09  3638.
 1999 08  5765·
 1999 07  9146.
 1999 06  2947.
 1999 05  2536.
 1999 04  9837.
 1999 03  6074.
 1999 02  6682.
 1999 01  9172.
 1998 12 3238.
 1998 11 3235·
 1998 10 3718·
 1998 09 6734.
 1998 08 2063·
 1998 07 036.
 1998 06 6622.
 1998 05 841.
 1998 04 5239·
 1998 03 8462·
 1998 02 342.
 1998 01 9648.
 1997 12  4051·
 1997 11  2866.
 1997 10  2528·
 1997 09  3857.
 1997 08  2150.
 1997 07  259.
 1997 06  3238·
 1997 05  6646.
 1997 04  5943·
 1997 03  9869·
 1997 02  4960·
 1997 01  3660.
 1996 12 4242.
 1996 11 3751·
 1996 10 2629.
 1996 09 3055.
 1996 08 8347·
 1996 07 6365.
 1996 06 4045.
 1996 05 5438.
 1996 04 1951·
 1996 03 4453·
 1996 02 8967.
 1996 01 4166·
 1995 12  1364·
 1995 11  7552·
 1995 10  056·
 1995 09  4655·
 1995 08  5494·
 1995 07  7572·
 1995 06  2357.
 1995 05  5251.
 1995 04  5352·
 1995 03  8845.
 1995 02  3461.
 1995 01  6563.
 1994 12 5044·
 1994 11 8343.
 1994 10 3251.
 1994 09 1644.
 1994 08 768.
 1994 07 5549.
 1994 06 4450.
 1994 05 6341.
 1994 04 1137.
 1994 03 2281·
 1994 02 19102.
 1994 01 8775.
 1993 12  7665.
 1993 11  2933.
 1993 10  3348.
 1993 09  9454.
 1993 08  3984.
 1993 07  4572·
 1993 06  8747·
 1993 05  1765.
 1993 04  6436.
 1993 03  6463·
 1993 02  572.
 1993 01  1175·
 1992 12 3955·
 1992 11 571.
 1992 10 3969.
 1992 09 6048.
 1992 08 7568·
 1992 07 1261.
 1992 06 6372·
 1992 05 6850.
 1992 04 1253.
 1992 03 5465·
 1992 02 7892.
 1992 01 6865.
 1991 12  1260.
 1991 11  2656·
 1991 10  1054·
 1991 09  1737.
 1991 08  6350.
 1991 07  4736.
 1991 06  837.
 1991 05  9661·
 1991 04  7760.
 1991 03  6164·
 1991 02  4899·
 1991 01  1175.
 1990 12 9369.
 1990 11 3654.
 1990 10 3169·
 1990 09 9535·
 1990 08 7445.
 1990 07 6748.
 1990 06 8135.
 1990 05 449.
 1990 04 759.
 1990 03 7451.
 1990 02 5065·
 1990 01 1965.
 1989 12  646·
 1989 11  046·
 1989 10  1347·
 1989 09  4861.
 1989 08  768·
 1989 07  1550.
 1989 06  7039.
 1989 05  2243·
 1989 04  7533·
 1989 03  1249.
 1989 02  4644·
 1989 01  9868.
 1988 12 9736.
 1988 11 1161.
 1988 10 9235.
 1988 09 5630.
 1988 08 8633·
 1988 07 5641.
 1988 06 8321·
 1988 05 532.
 1988 04 8055.
 1988 03 1672.
 1988 02 2043.
 1988 01 7563·
 1987 12  4253·
 1987 11  8560·
 1987 10  2824.
 1987 09  2348.
 1987 08  5955·
 1987 07  8334·
 1987 06  5756·
 1987 05  3149.
 1987 04  4448·
 1987 03  5371·
 1987 02  8462.
 1987 01  640·
 1986 12 3655.
 1986 11 6559.
 1986 10 749·
 1986 09 7852·
 1986 08 9747.
 1986 07 1249.
 1986 06 5360.
 1986 05 549·
 1986 04 1543·
 1986 03 15101·
 1986 02 7285.
 1986 01 6963·
 1985 12  461.
 1985 11  1657.
 1985 10  3943.
 1985 09  7665·
 1985 08  078·
 1985 07  8645.
 1985 06  5546·
 1985 05  5759.
 1985 04  6749·
 1985 03  1872·
 1985 02  4571.
 1985 01  6979.
 1984 12 9388·
 1984 11 3177·
 1984 10 6057·
 1984 09 9536·
 1984 08 9166.
 1984 07 7057·
 1984 06 7554.
 1984 05 4038·
 1984 04 9844.
 1984 03 447·
 1984 02 9067.
 1984 01 3659.
 1983 12  7756·
 1983 11  2760·
 1983 10  3147.
 1983 09  4019.
 1983 08  1754·
 1983 07  5850·
 1983 06  4744·
 1983 05  3487.
 1983 04  3078·
 1983 03  41103.
 1983 02  16105.
 1983 01  2393·
 1982 12 5381·
 1982 11 4555.
 1982 10 3652.
 1982 09 4184·
 1982 08 5167.
 1982 07 6595·
 1982 06 3377.
 1982 05 4245.
 1982 04 1179.
 1982 03 1993.
 1982 02 59102·
 1982 01 10108.
 1981 12  4695.
 1981 11  5260·
 1981 10  8751.
 1981 09  5159.
 1981 08  9351·
 1981 07  3350·
 1981 06  1853·
 1981 05  9648·
 1981 04  1551·
 1981 03  5670.
 1981 02  7967.
 1981 01  252.
 1980 12 171·
 1980 11 4050.
 1980 10 1935·
 1980 09 5054.
 1980 08 6468.
 1980 07 3052.
 1980 06 1356·
 1980 05 4844.
 1980 04 4056.
 1980 03 9469.
 1980 02 6267.
 1980 01 2667·
 1979 12  9443·
 1979 11  2641.
 1979 10  9241·
 1979 09  4333·
 1979 08  1249·
 1979 07  4647.
 1979 06  5330.
 1979 05  7843.
 1979 04  945·
 1979 03  9860·
 1979 02  1988.
 1979 01  3979.
 1978 12 2147·
 1978 11 5150.
 1978 10 9328.
 1978 09 5850·
 1978 08 1243.
 1978 07 028.
 1978 06 9845.
 1978 05 9024·
 1978 04 6941.
 1978 03 6251.
 1978 02 8676.
 1978 01 1954.
 1977 12  639·
 1977 11  8378·
 1977 10  3150.
 1977 09  4958·
 1977 08  6046·
 1977 07  3226·
 1977 06  3538.
 1977 05  1442.
 1977 04  9460.
 1977 03  259.
 1977 02  2295·
 1977 01  7073.
 1976 12 9658.
 1976 11 1365.
 1976 10 4345·
 1976 09 9731.
 1976 08 8044·
 1976 07 955.
 1976 06 7352.
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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 55-64 yrs.: 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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