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 Series Title: Number Unemployed for 7-10 weeks 55-64 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  6439.
 2003 01  6342·
 2002 12 919.
 2002 11 8552·
 2002 10 138·
 2002 09 6629·
 2002 08 9353·
 2002 07 2351·
 2002 06 8027·
 2002 05 4429.
 2002 04 5324.
 2002 03 3547.
 2002 02 5035.
 2002 01 7646.
 2001 12  333.
 2001 11  6431·
 2001 10  8836.
 2001 09  7027.
 2001 08  7931.
 2001 07  8114.
 2001 06  9310·
 2001 05  5724·
 2001 04  4415·
 2001 03  7818.
 2001 02  9128.
 2001 01  9513·
 2000 12 8728·
 2000 11 7634·
 2000 10 3212.
 2000 09 6438.
 2000 08 2055·
 2000 07 1834·
 2000 06 9217·
 2000 05 719·
 2000 04 8217·
 2000 03 7434.
 2000 02 7129.
 2000 01 4837.
 1999 12  3523.
 1999 11  3728.
 1999 10  9418·
 1999 09  5211·
 1999 08  6634.
 1999 07  2732.
 1999 06  1327·
 1999 05  6515.
 1999 04  9021.
 1999 03  8821.
 1999 02  118·
 1999 01  9225.
 1998 12 4415·
 1998 11 8919.
 1998 10 607·
 1998 09 6515·
 1998 08 9041.
 1998 07 2418·
 1998 06 1611·
 1998 05 4217.
 1998 04 1716.
 1998 03 1325·
 1998 02 1721·
 1998 01 419.
 1997 12  3723·
 1997 11  9929.
 1997 10  416·
 1997 09  5619.
 1997 08  8925.
 1997 07  5222·
 1997 06  8611.
 1997 05  3314.
 1997 04  359·
 1997 03  6527.
 1997 02  7922·
 1997 01  8817·
 1996 12 6311.
 1996 11 5923·
 1996 10 7113.
 1996 09 520·
 1996 08 8631.
 1996 07 7628.
 1996 06 3524·
 1996 05 9120·
 1996 04 4216·
 1996 03 8720.
 1996 02 7429.
 1996 01 7532.
 1995 12  9433·
 1995 11  8526·
 1995 10  1126·
 1995 09  1629.
 1995 08  2954·
 1995 07  9030·
 1995 06  9818.
 1995 05  9528·
 1995 04  6213.
 1995 03  459·
 1995 02  1026.
 1995 01  1940.
 1994 12 2820·
 1994 11 1917.
 1994 10 4717.
 1994 09 1917·
 1994 08 9344·
 1994 07 823.
 1994 06 3523.
 1994 05 5124.
 1994 04 429·
 1994 03 3036·
 1994 02 2432.
 1994 01 9823.
 1993 12  9023.
 1993 11  2917.
 1993 10  9019.
 1993 09  6634·
 1993 08  7333·
 1993 07  7432·
 1993 06  324.
 1993 05  8721.
 1993 04  5616.
 1993 03  6023·
 1993 02  7731·
 1993 01  1817.
 1992 12 2524·
 1992 11 526.
 1992 10 7535.
 1992 09 3935·
 1992 08 9525.
 1992 07 5434·
 1992 06 025.
 1992 05 5818·
 1992 04 117·
 1992 03 7623.
 1992 02 5428.
 1992 01 727.
 1991 12  923·
 1991 11  6520·
 1991 10  6216.
 1991 09  4119·
 1991 08  522·
 1991 07  4121.
 1991 06  7410·
 1991 05  4323.
 1991 04  221.
 1991 03  4621·
 1991 02  6547.
 1991 01  1919·
 1990 12 3830.
 1990 11 5128·
 1990 10 3729·
 1990 09 123.
 1990 08 7621·
 1990 07 5015.
 1990 06 148.
 1990 05 4629·
 1990 04 534·
 1990 03 6112.
 1990 02 4721·
 1990 01 3524·
 1989 12  3610·
 1989 11  2917.
 1989 10  1127.
 1989 09  7426.
 1989 08  839·
 1989 07  2332·
 1989 06  713·
 1989 05  9613.
 1989 04  8315·
 1989 03  3712·
 1989 02  594·
 1989 01  5835·
 1988 12 50
 1988 11 9123.
 1988 10 1916·
 1988 09 4017.
 1988 08 2213.
 1988 07 2813.
 1988 06 626.
 1988 05 4913·
 1988 04 3617·
 1988 03 1724·
 1988 02 8713.
 1988 01 1715·
 1987 12  5516.
 1987 11  5320·
 1987 10  2211·
 1987 09  123.
 1987 08  6720·
 1987 07  5614·
 1987 06  1526.
 1987 05  8216.
 1987 04  8519·
 1987 03  6836·
 1987 02  4216.
 1987 01  6811·
 1986 12 4714.
 1986 11 5922·
 1986 10 532·
 1986 09 8818·
 1986 08 1624·
 1986 07 2327·
 1986 06 2721.
 1986 05 124.
 1986 04 7922·
 1986 03 8034·
 1986 02 6027·
 1986 01 8811.
 1985 12  5022.
 1985 11  7425.
 1985 10  7819·
 1985 09  5625·
 1985 08  6739.
 1985 07  7327·
 1985 06  8312.
 1985 05  3528.
 1985 04  9221·
 1985 03  7229·
 1985 02  028·
 1985 01  8325·
 1984 12 1335·
 1984 11 9049.
 1984 10 7923.
 1984 09 8217.
 1984 08 4331·
 1984 07 7121.
 1984 06 9523.
 1984 05 3821.
 1984 04 2010·
 1984 03 8424.
 1984 02 4921·
 1984 01 8217.
 1983 12  730.
 1983 11  2424.
 1983 10  6625·
 1983 09  724·
 1983 08  9227.
 1983 07  929·
 1983 06  9616.
 1983 05  8932·
 1983 04  8722.
 1983 03  8441.
 1983 02  1636·
 1983 01  3927.
 1982 12 3121.
 1982 11 1824·
 1982 10 2523.
 1982 09 5547.
 1982 08 8727.
 1982 07 542.
 1982 06 4935·
 1982 05 9228.
 1982 04 4140·
 1982 03 6344·
 1982 02 3844·
 1982 01 3331.
 1981 12  833·
 1981 11  3923.
 1981 10  6824·
 1981 09  8526.
 1981 08  2634·
 1981 07  9911.
 1981 06  3820.
 1981 05  7821.
 1981 04  5624·
 1981 03  3933·
 1981 02  7523·
 1981 01  7019·
 1980 12 8739.
 1980 11 7826·
 1980 10 2916·
 1980 09 4118.
 1980 08 3219·
 1980 07 5918.
 1980 06 7422.
 1980 05 025.
 1980 04 2928.
 1980 03 5232.
 1980 02 1318.
 1980 01 7725·
 1979 12  4021.
 1979 11  5219·
 1979 10  6917·
 1979 09  2816·
 1979 08  5328·
 1979 07  7715·
 1979 06  936.
 1979 05  3722·
 1979 04  8226.
 1979 03  7128.
 1979 02  6128·
 1979 01  922.
 1978 12 6518·
 1978 11 321·
 1978 10 7310.
 1978 09 7626·
 1978 08 6319.
 1978 07 686·
 1978 06 5516.
 1978 05 9410·
 1978 04 6618.
 1978 03 8516·
 1978 02 5726.
 1978 01 4624·
 1977 12  8520·
 1977 11  9837·
 1977 10  5328.
 1977 09  3731.
 1977 08  5921·
 1977 07  7614.
 1977 06  4610.
 1977 05  021·
 1977 04  5136.
 1977 03  1419.
 1977 02  5930·
 1977 01  9136·
 1976 12 4923.
 1976 11 2923·
 1976 10 4430.
 1976 09 9210.
 1976 08 6523.
 1976 07 6725.
 1976 06 7619·
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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 7-10 weeks 55-64 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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