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 Series Title: Number Unemployed for 11-14 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  2473.
 2003 01  7262·
 2002 12 6066·
 2002 11 4662·
 2002 10 1445.
 2002 09 4766·
 2002 08 3595·
 2002 07 9345.
 2002 06 2045·
 2002 05 7136.
 2002 04 6194·
 2002 03 8973·
 2002 02 9399·
 2002 01 2572·
 2001 12  5063.
 2001 11  7743.
 2001 10  858.
 2001 09  1547·
 2001 08  4159.
 2001 07  2858·
 2001 06  6638·
 2001 05  7416·
 2001 04  9735·
 2001 03  3461·
 2001 02  9244.
 2001 01  5865.
 2000 12 520·
 2000 11 1625·
 2000 10 3626·
 2000 09 4922.
 2000 08 7938·
 2000 07 1738.
 2000 06 748.
 2000 05 5337.
 2000 04 5642·
 2000 03 744.
 2000 02 561.
 2000 01 118.
 1999 12  9829.
 1999 11  7929.
 1999 10  5627·
 1999 09  5230.
 1999 08  9536·
 1999 07  5332·
 1999 06  7728·
 1999 05  8617·
 1999 04  5966·
 1999 03  7357.
 1999 02  4429·
 1999 01  931·
 1998 12 2836.
 1998 11 834.
 1998 10 5649·
 1998 09 5422·
 1998 08 6524.
 1998 07 5216·
 1998 06 3924.
 1998 05 7720.
 1998 04 5754·
 1998 03 2533.
 1998 02 4335.
 1998 01 6043.
 1997 12  1741·
 1997 11  7014·
 1997 10  4420·
 1997 09  1042·
 1997 08  8432·
 1997 07  5718.
 1997 06  4235.
 1997 05  5718.
 1997 04  2045.
 1997 03  7942.
 1997 02  6339.
 1997 01  6039·
 1996 12 1434·
 1996 11 5722.
 1996 10 5729.
 1996 09 9838·
 1996 08 7726.
 1996 07 3345·
 1996 06 031·
 1996 05 8031.
 1996 04 4826·
 1996 03 7850.
 1996 02 9160.
 1996 01 3646·
 1995 12  9021.
 1995 11  8518·
 1995 10  5636.
 1995 09  2446.
 1995 08  9123·
 1995 07  7332.
 1995 06  4634·
 1995 05  2437·
 1995 04  6446.
 1995 03  8736.
 1995 02  3548·
 1995 01  4433·
 1994 12 4626.
 1994 11 9635·
 1994 10 2532·
 1994 09 1540·
 1994 08 051.
 1994 07 9444.
 1994 06 4139.
 1994 05 9430·
 1994 04 1553.
 1994 03 076.
 1994 02 3356·
 1994 01 6343.
 1993 12  327.
 1993 11  5841·
 1993 10  7637·
 1993 09  2747.
 1993 08  236.
 1993 07  3735.
 1993 06  7133.
 1993 05  2040·
 1993 04  7455·
 1993 03  3256·
 1993 02  4461.
 1993 01  9739.
 1992 12 949·
 1992 11 6138·
 1992 10 4436.
 1992 09 4040.
 1992 08 1962.
 1992 07 6952.
 1992 06 4723.
 1992 05 5534.
 1992 04 4133·
 1992 03 2549·
 1992 02 5453.
 1992 01 7547.
 1991 12  3831.
 1991 11  2323·
 1991 10  9018·
 1991 09  5638.
 1991 08  9928·
 1991 07  8243·
 1991 06  430·
 1991 05  7961.
 1991 04  3760·
 1991 03  4772.
 1991 02  7453.
 1991 01  5242·
 1990 12 8835.
 1990 11 8539.
 1990 10 9827.
 1990 09 626·
 1990 08 1729·
 1990 07 9327.
 1990 06 336.
 1990 05 9730·
 1990 04 1025.
 1990 03 8849·
 1990 02 3857.
 1990 01 737.
 1989 12  8235.
 1989 11  1543.
 1989 10  8029·
 1989 09  4338·
 1989 08  6940.
 1989 07  4330.
 1989 06  2843·
 1989 05  3739.
 1989 04  3538·
 1989 03  6646·
 1989 02  934·
 1989 01  4530·
 1988 12 6729·
 1988 11 413·
 1988 10 7128.
 1988 09 4822.
 1988 08 7932.
 1988 07 031·
 1988 06 9224·
 1988 05 5422·
 1988 04 823.
 1988 03 2357·
 1988 02 7042.
 1988 01 9431·
 1987 12  1734·
 1987 11  6933.
 1987 10  3221·
 1987 09  2431·
 1987 08  9418.
 1987 07  5537·
 1987 06  2823.
 1987 05  2726·
 1987 04  5340·
 1987 03  2654·
 1987 02  3356·
 1987 01  855.
 1986 12 3036.
 1986 11 5124.
 1986 10 4824·
 1986 09 122.
 1986 08 8934.
 1986 07 2436.
 1986 06 9832.
 1986 05 6040.
 1986 04 1859·
 1986 03 6551·
 1986 02 3445·
 1986 01 6843.
 1985 12  2936·
 1985 11  1821.
 1985 10  3033·
 1985 09  3237·
 1985 08  6130·
 1985 07  5139·
 1985 06  8833.
 1985 05  8329·
 1985 04  7637·
 1985 03  5943.
 1985 02  3253.
 1985 01  7840.
 1984 12 6228.
 1984 11 6132·
 1984 10 1428.
 1984 09 9836·
 1984 08 3240·
 1984 07 150.
 1984 06 830.
 1984 05 5040·
 1984 04 2548·
 1984 03 4863.
 1984 02 1481·
 1984 01 6642·
 1983 12  248·
 1983 11  9739·
 1983 10  5930.
 1983 09  349.
 1983 08  5236·
 1983 07  6635·
 1983 06  9257·
 1983 05  4141·
 1983 04  8854.
 1983 03  063.
 1983 02  9050.
 1983 01  8867.
 1982 12 4765.
 1982 11 6851·
 1982 10 5245.
 1982 09 7550·
 1982 08 9359·
 1982 07 6457.
 1982 06 355·
 1982 05 5955·
 1982 04 1366·
 1982 03 672·
 1982 02 9571.
 1982 01 2254.
 1981 12  2050.
 1981 11  4034.
 1981 10  234.
 1981 09  6931·
 1981 08  5234·
 1981 07  3520.
 1981 06  2629·
 1981 05  3417·
 1981 04  7329·
 1981 03  8448.
 1981 02  9046·
 1981 01  7270·
 1980 12 6939·
 1980 11 727.
 1980 10 4734.
 1980 09 6545.
 1980 08 5439.
 1980 07 4731.
 1980 06 7021.
 1980 05 2021.
 1980 04 6635·
 1980 03 7459·
 1980 02 6148·
 1980 01 6939·
 1979 12  6835·
 1979 11  8317.
 1979 10  4525.
 1979 09  6729.
 1979 08  4625.
 1979 07  9117·
 1979 06  7228.
 1979 05  9724·
 1979 04  1642·
 1979 03  4448.
 1979 02  1834·
 1979 01  6536.
 1978 12 1329·
 1978 11 1117·
 1978 10 8314.
 1978 09 429.
 1978 08 223·
 1978 07 8525.
 1978 06 9232.
 1978 05 6923·
 1978 04 7029.
 1978 03 8643·
 1978 02 9634·
 1978 01 4231.
 1977 12  2950·
 1977 11  5822·
 1977 10  7128.
 1977 09  3038·
 1977 08  1921·
 1977 07  7028.
 1977 06  1632·
 1977 05  6426·
 1977 04  129·
 1977 03  1663.
 1977 02  5769.
 1977 01  242·
 1976 12 6444.
 1976 11 1636·
 1976 10 4538.
 1976 09 2440.
 1976 08 2040·
 1976 07 1316.
 1976 06 5422.
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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 11-14 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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