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 Series Title: Number Unemployed for 5-6 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  830.
 2003 01  8945·
 2002 12 543·
 2002 11 7135·
 2002 10 2737.
 2002 09 1329·
 2002 08 7427.
 2002 07 8337·
 2002 06 9328.
 2002 05 1731.
 2002 04 2632·
 2002 03 7534·
 2002 02 5855.
 2002 01 8319.
 2001 12  7253·
 2001 11  9155.
 2001 10  9617.
 2001 09  1740·
 2001 08  5224·
 2001 07  018·
 2001 06  827.
 2001 05  5016.
 2001 04  2726·
 2001 03  9622·
 2001 02  1944.
 2001 01  3918·
 2000 12 8648·
 2000 11 9930·
 2000 10 7916·
 2000 09 6719·
 2000 08 4218.
 2000 07 5324.
 2000 06 6521.
 2000 05 3919·
 2000 04 32
 2000 03 2629·
 2000 02 7524·
 2000 01 8714·
 1999 12  2022.
 1999 11  1313.
 1999 10  3740.
 1999 09  685·
 1999 08  9329.
 1999 07  3321.
 1999 06  9927·
 1999 05  6314·
 1999 04  6412.
 1999 03  3142.
 1999 02  3822.
 1999 01  8019·
 1998 12 7126.
 1998 11 7536·
 1998 10 5422.
 1998 09 4915·
 1998 08 7718·
 1998 07 5923.
 1998 06 7216.
 1998 05 2818·
 1998 04 7020.
 1998 03 317·
 1998 02 4326.
 1998 01 9822·
 1997 12  6224·
 1997 11  5015·
 1997 10  4218·
 1997 09  6512·
 1997 08  9326.
 1997 07  7014·
 1997 06  7027.
 1997 05  625.
 1997 04  2419·
 1997 03  5823.
 1997 02  5141·
 1997 01  4531·
 1996 12 4339.
 1996 11 3218.
 1996 10 3634·
 1996 09 9515·
 1996 08 6321.
 1996 07 3533.
 1996 06 127·
 1996 05 2018.
 1996 04 2315.
 1996 03 3929.
 1996 02 4628.
 1996 01 5129.
 1995 12  8556·
 1995 11  3638.
 1995 10  9719.
 1995 09  4419·
 1995 08  3743·
 1995 07  4516.
 1995 06  39·
 1995 05  8119·
 1995 04  9126.
 1995 03  1232·
 1995 02  4133·
 1995 01  6911·
 1994 12 8631·
 1994 11 430·
 1994 10 1016.
 1994 09 4029·
 1994 08 8631.
 1994 07 1724.
 1994 06 3619·
 1994 05 4919·
 1994 04 766.
 1994 03 6921·
 1994 02 6956·
 1994 01 8033.
 1993 12  7119·
 1993 11  436.
 1993 10  8528·
 1993 09  3720·
 1993 08  829·
 1993 07  9216·
 1993 06  8435.
 1993 05  5436.
 1993 04  5118·
 1993 03  2724.
 1993 02  9240.
 1993 01  8719·
 1992 12 8628·
 1992 11 2832·
 1992 10 5929·
 1992 09 1631·
 1992 08 2842·
 1992 07 3833·
 1992 06 6033·
 1992 05 5042.
 1992 04 1330.
 1992 03 2854·
 1992 02 9550.
 1992 01 1935·
 1991 12  634·
 1991 11  9116·
 1991 10  9133.
 1991 09  8037.
 1991 08  9330·
 1991 07  4630·
 1991 06  9736.
 1991 05  1612·
 1991 04  8726·
 1991 03  3840·
 1991 02  8930.
 1991 01  3250.
 1990 12 2739.
 1990 11 3644·
 1990 10 6833·
 1990 09 5942·
 1990 08 7529.
 1990 07 3328.
 1990 06 5834.
 1990 05 5622·
 1990 04 2030.
 1990 03 4932.
 1990 02 1021.
 1990 01 326.
 1989 12  7338.
 1989 11  2928.
 1989 10  9922·
 1989 09  725.
 1989 08  7421.
 1989 07  4130.
 1989 06  2721·
 1989 05  046.
 1989 04  8432·
 1989 03  7933·
 1989 02  1734.
 1989 01  3943·
 1988 12 9234.
 1988 11 6331·
 1988 10 2136·
 1988 09 410.
 1988 08 1126.
 1988 07 3627.
 1988 06 1423·
 1988 05 314·
 1988 04 7931.
 1988 03 6819.
 1988 02 9755.
 1988 01 6731·
 1987 12  5832.
 1987 11  5320.
 1987 10  9430·
 1987 09  5330.
 1987 08  3625·
 1987 07  1120.
 1987 06  5722.
 1987 05  4230·
 1987 04  2635·
 1987 03  8429·
 1987 02  6029·
 1987 01  4228.
 1986 12 6729.
 1986 11 4331.
 1986 10 426·
 1986 09 8419·
 1986 08 2120.
 1986 07 8138·
 1986 06 1425.
 1986 05 2427.
 1986 04 7538·
 1986 03 1836.
 1986 02 4159.
 1986 01 4441·
 1985 12  4440.
 1985 11  9821.
 1985 10  6026·
 1985 09  5131.
 1985 08  6436·
 1985 07  9036·
 1985 06  7231.
 1985 05  7624·
 1985 04  9828·
 1985 03  8827.
 1985 02  151.
 1985 01  7650.
 1984 12 3550.
 1984 11 1132·
 1984 10 9946.
 1984 09 3323.
 1984 08 8833.
 1984 07 441.
 1984 06 4127.
 1984 05 5425.
 1984 04 9441·
 1984 03 3552.
 1984 02 2634.
 1984 01 6946·
 1983 12  1531.
 1983 11  9829·
 1983 10  8241·
 1983 09  3633·
 1983 08  4132.
 1983 07  1421·
 1983 06  5624·
 1983 05  3619·
 1983 04  8441·
 1983 03  2537.
 1983 02  2766.
 1983 01  7644·
 1982 12 8254·
 1982 11 252.
 1982 10 9248·
 1982 09 8726.
 1982 08 9744·
 1982 07 3738.
 1982 06 7963·
 1982 05 2729·
 1982 04 1825·
 1982 03 5156.
 1982 02 3863·
 1982 01 7654.
 1981 12  5740·
 1981 11  8843.
 1981 10  4344.
 1981 09  4247.
 1981 08  5326·
 1981 07  1625·
 1981 06  9519.
 1981 05  5628.
 1981 04  6844·
 1981 03  3046.
 1981 02  2041·
 1981 01  7545.
 1980 12 9149.
 1980 11 4934·
 1980 10 6840·
 1980 09 8039.
 1980 08 3331·
 1980 07 1722·
 1980 06 1431.
 1980 05 7834·
 1980 04 3339·
 1980 03 325·
 1980 02 5933·
 1980 01 037·
 1979 12  5428.
 1979 11  128·
 1979 10  2821.
 1979 09  433.
 1979 08  8423.
 1979 07  3129·
 1979 06  7217.
 1979 05  7128.
 1979 04  3525.
 1979 03  3628.
 1979 02  6543·
 1979 01  828·
 1978 12 4631.
 1978 11 8720.
 1978 10 922·
 1978 09 458·
 1978 08 8024·
 1978 07 7619.
 1978 06 2913.
 1978 05 4118.
 1978 04 2315·
 1978 03 2332.
 1978 02 7433·
 1978 01 7632.
 1977 12  9046·
 1977 11  7227.
 1977 10  2228.
 1977 09  5719·
 1977 08  1832·
 1977 07  9342.
 1977 06  7129·
 1977 05  1626·
 1977 04  6926.
 1977 03  7935.
 1977 02  4739·
 1977 01  941·
 1976 12 3328·
 1976 11 5014·
 1976 10 130·
 1976 09 1832.
 1976 08 2126.
 1976 07 4929·
 1976 06 832.
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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

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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 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

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