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 Series Title: Number Unemployed for 7-10 weeks 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  57107·
 2003 01  83153·
 2002 12 7494.
 2002 11 5595·
 2002 10 8178·
 2002 09 393.
 2002 08 79100·
 2002 07 94100·
 2002 06 1597.
 2002 05 6662·
 2002 04 2977·
 2002 03 75125.
 2002 02 9153.
 2002 01 52116.
 2001 12  37109.
 2001 11  4394.
 2001 10  4079.
 2001 09  6882.
 2001 08  4099.
 2001 07  6676.
 2001 06  658.
 2001 05  4740.
 2001 04  263·
 2001 03  4086.
 2001 02  3595.
 2001 01  44106·
 2000 12 957.
 2000 11 8247.
 2000 10 7561·
 2000 09 4243.
 2000 08 7662·
 2000 07 3763.
 2000 06 353.
 2000 05 4742.
 2000 04 4064.
 2000 03 7557·
 2000 02 1885·
 2000 01 9180.
 1999 12  6448.
 1999 11  8839·
 1999 10  4763·
 1999 09  3049·
 1999 08  3554·
 1999 07  9840.
 1999 06  4051.
 1999 05  4649.
 1999 04  6755·
 1999 03  4762·
 1999 02  71107·
 1999 01  4678.
 1998 12 9861·
 1998 11 547·
 1998 10 4254.
 1998 09 6057·
 1998 08 9045·
 1998 07 6652.
 1998 06 7772.
 1998 05 4735·
 1998 04 3260.
 1998 03 4984.
 1998 02 2891·
 1998 01 8898.
 1997 12  3646·
 1997 11  9837.
 1997 10  7037·
 1997 09  8864·
 1997 08  4042·
 1997 07  8357.
 1997 06  260·
 1997 05  8028.
 1997 04  762.
 1997 03  9785.
 1997 02  5095.
 1997 01  2182.
 1996 12 2467·
 1996 11 6036·
 1996 10 6645·
 1996 09 9230.
 1996 08 668.
 1996 07 1661.
 1996 06 2364·
 1996 05 064.
 1996 04 8939·
 1996 03 3374·
 1996 02 2392·
 1996 01 7679·
 1995 12  3788·
 1995 11  746.
 1995 10  9144·
 1995 09  7742·
 1995 08  3857·
 1995 07  5649.
 1995 06  7742.
 1995 05  8539.
 1995 04  353.
 1995 03  2490·
 1995 02  5773.
 1995 01  6106·
 1994 12 7253·
 1994 11 8138.
 1994 10 3163.
 1994 09 7249.
 1994 08 874.
 1994 07 2169·
 1994 06 2448·
 1994 05 4056.
 1994 04 9772.
 1994 03 6252.
 1994 02 8799·
 1994 01 9080·
 1993 12  5363·
 1993 11  4964.
 1993 10  9638·
 1993 09  3154.
 1993 08  1484·
 1993 07  5173·
 1993 06  5059.
 1993 05  9356·
 1993 04  4276.
 1993 03  6380·
 1993 02  75114·
 1993 01  3481·
 1992 12 2774·
 1992 11 254·
 1992 10 2253·
 1992 09 3453.
 1992 08 7967.
 1992 07 1568.
 1992 06 6569·
 1992 05 168.
 1992 04 3884·
 1992 03 6989·
 1992 02 6110.
 1992 01 65119.
 1991 12  6755.
 1991 11  5841·
 1991 10  6935.
 1991 09  8555·
 1991 08  5280.
 1991 07  356·
 1991 06  569·
 1991 05  4156·
 1991 04  863.
 1991 03  4693.
 1991 02  89117.
 1991 01  3993·
 1990 12 7180·
 1990 11 5864.
 1990 10 2343·
 1990 09 1350.
 1990 08 654·
 1990 07 3256·
 1990 06 3051.
 1990 05 1855·
 1990 04 9944·
 1990 03 8848.
 1990 02 6269·
 1990 01 3574·
 1989 12  6466·
 1989 11  6956.
 1989 10  9451·
 1989 09  7240.
 1989 08  3838·
 1989 07  4538.
 1989 06  2640·
 1989 05  6135·
 1989 04  8446.
 1989 03  1046·
 1989 02  8466·
 1989 01  5770.
 1988 12 9158.
 1988 11 8350·
 1988 10 1834.
 1988 09 4341·
 1988 08 7151·
 1988 07 821.
 1988 06 331.
 1988 05 2533.
 1988 04 6257.
 1988 03 5529.
 1988 02 41103·
 1988 01 3467·
 1987 12  2749.
 1987 11  1762·
 1987 10  5527.
 1987 09  2831.
 1987 08  5429.
 1987 07  1347·
 1987 06  9829.
 1987 05  8849.
 1987 04  5641.
 1987 03  8949.
 1987 02  4379.
 1987 01  2176.
 1986 12 7054.
 1986 11 1251·
 1986 10 9243·
 1986 09 5840.
 1986 08 6046.
 1986 07 7758.
 1986 06 7057·
 1986 05 5648·
 1986 04 1356.
 1986 03 353.
 1986 02 2767.
 1986 01 9763.
 1985 12  4344.
 1985 11  3557·
 1985 10  3861·
 1985 09  8743·
 1985 08  8672.
 1985 07  4177.
 1985 06  528·
 1985 05  5753.
 1985 04  757·
 1985 03  1653.
 1985 02  5281·
 1985 01  6680·
 1984 12 9362·
 1984 11 7863·
 1984 10 2931.
 1984 09 9339·
 1984 08 5645.
 1984 07 7235.
 1984 06 1341·
 1984 05 4754.
 1984 04 3658·
 1984 03 6852·
 1984 02 470.
 1984 01 5772.
 1983 12  9452.
 1983 11  5871.
 1983 10  2661·
 1983 09  8249.
 1983 08  1861·
 1983 07  6343.
 1983 06  3144.
 1983 05  364.
 1983 04  2273·
 1983 03  2680.
 1983 02  9497.
 1983 01  2667.
 1982 12 4382.
 1982 11 1781.
 1982 10 1459·
 1982 09 8376·
 1982 08 4566.
 1982 07 2957·
 1982 06 1949·
 1982 05 3041·
 1982 04 1572·
 1982 03 8261.
 1982 02 5790.
 1982 01 5087.
 1981 12  6564·
 1981 11  2137·
 1981 10  450.
 1981 09  4941.
 1981 08  3546·
 1981 07  1355.
 1981 06  6141.
 1981 05  5931·
 1981 04  8630.
 1981 03  5445.
 1981 02  5460.
 1981 01  3549.
 1980 12 761·
 1980 11 6237·
 1980 10 3119.
 1980 09 6132.
 1980 08 1051·
 1980 07 8144.
 1980 06 7054·
 1980 05 4239.
 1980 04 3426.
 1980 03 8237.
 1980 02 7064.
 1980 01 1053.
 1979 12  4129·
 1979 11  5733·
 1979 10  5625.
 1979 09  2230.
 1979 08  2026·
 1979 07  2636.
 1979 06  8032·
 1979 05  5912.
 1979 04  8238.
 1979 03  3333.
 1979 02  1650·
 1979 01  2939·
 1978 12 6754·
 1978 11 4826.
 1978 10 6533.
 1978 09 6234.
 1978 08 3625.
 1978 07 6431·
 1978 06 5255·
 1978 05 1523·
 1978 04 7816·
 1978 03 026·
 1978 02 2775·
 1978 01 7167·
 1977 12  625.
 1977 11  121.
 1977 10  6726.
 1977 09  3535·
 1977 08  5824·
 1977 07  3627.
 1977 06  7127·
 1977 05  3935·
 1977 04  9548·
 1977 03  9944·
 1977 02  6589.
 1977 01  4055.
 1976 12 854.
 1976 11 937.
 1976 10 9919·
 1976 09 2022.
 1976 08 751·
 1976 07 1054.
 1976 06 4842·
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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 45-54 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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