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 Series Title: Number Unemployed for 5-6 weeks 35-44 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  94126.
 2003 01  76101.
 2002 12 17131.
 2002 11 66119·
 2002 10 9263.
 2002 09 6851.
 2002 08 6866.
 2002 07 9987·
 2002 06 4347.
 2002 05 4674·
 2002 04 886·
 2002 03 1788.
 2002 02 99128.
 2002 01 92100.
 2001 12  49137.
 2001 11  67114·
 2001 10  3589·
 2001 09  1282.
 2001 08  2984.
 2001 07  15105.
 2001 06  5047.
 2001 05  3781·
 2001 04  1170·
 2001 03  5880·
 2001 02  7187·
 2001 01  26102·
 2000 12 8368.
 2000 11 1387.
 2000 10 4756·
 2000 09 5861·
 2000 08 5873.
 2000 07 2484.
 2000 06 5556.
 2000 05 4271·
 2000 04 7472·
 2000 03 6265·
 2000 02 94100.
 2000 01 864.
 1999 12  9367.
 1999 11  20106.
 1999 10  9151.
 1999 09  1371.
 1999 08  470.
 1999 07  1881·
 1999 06  9467.
 1999 05  3859·
 1999 04  1943·
 1999 03  9862·
 1999 02  8189.
 1999 01  9177.
 1998 12 77117.
 1998 11 32133·
 1998 10 5082.
 1998 09 344·
 1998 08 4070.
 1998 07 1276·
 1998 06 2890.
 1998 05 3182·
 1998 04 9531.
 1998 03 5781.
 1998 02 65119·
 1998 01 5665·
 1997 12  57105·
 1997 11  13102.
 1997 10  37103.
 1997 09  8556.
 1997 08  6386·
 1997 07  4881.
 1997 06  4387.
 1997 05  5075·
 1997 04  7668.
 1997 03  56134·
 1997 02  9159.
 1997 01  671.
 1996 12 83173.
 1996 11 57102·
 1996 10 85137·
 1996 09 3759·
 1996 08 98113.
 1996 07 9467·
 1996 06 4892.
 1996 05 4880.
 1996 04 5865.
 1996 03 3791.
 1996 02 96126·
 1996 01 7171·
 1995 12  26106·
 1995 11  80132.
 1995 10  57126.
 1995 09  6377·
 1995 08  91130.
 1995 07  4276·
 1995 06  7974.
 1995 05  696.
 1995 04  6563.
 1995 03  66104.
 1995 02  39146.
 1995 01  570.
 1994 12 86103·
 1994 11 24103·
 1994 10 3690.
 1994 09 9385.
 1994 08 1682.
 1994 07 777.
 1994 06 9785·
 1994 05 2774·
 1994 04 4577.
 1994 03 36137.
 1994 02 72166·
 1994 01 8786.
 1993 12  84120.
 1993 11  55151.
 1993 10  35137.
 1993 09  82131.
 1993 08  72129·
 1993 07  32115·
 1993 06  8895·
 1993 05  41102.
 1993 04  7161.
 1993 03  63119.
 1993 02  56141·
 1993 01  22141·
 1992 12 70126·
 1992 11 65101·
 1992 10 88136.
 1992 09 7138·
 1992 08 81143.
 1992 07 84170·
 1992 06 62128.
 1992 05 287·
 1992 04 42119·
 1992 03 88141·
 1992 02 76191.
 1992 01 39178·
 1991 12  16141.
 1991 11  72122·
 1991 10  57120·
 1991 09  75139·
 1991 08  90116·
 1991 07  54133·
 1991 06  54122.
 1991 05  90143.
 1991 04  79158·
 1991 03  80137.
 1991 02  43171·
 1991 01  92139.
 1990 12 19162.
 1990 11 17151·
 1990 10 25107.
 1990 09 13139.
 1990 08 74116·
 1990 07 60150.
 1990 06 2578.
 1990 05 8115.
 1990 04 3277.
 1990 03 28105·
 1990 02 93155.
 1990 01 61156·
 1989 12  5126·
 1989 11  66112.
 1989 10  5101.
 1989 09  7689·
 1989 08  31105·
 1989 07  43110.
 1989 06  6187·
 1989 05  8784.
 1989 04  7395.
 1989 03  52116.
 1989 02  87107.
 1989 01  49129.
 1988 12 19137.
 1988 11 1292.
 1988 10 3272·
 1988 09 4461.
 1988 08 8291.
 1988 07 69118.
 1988 06 7251.
 1988 05 80129.
 1988 04 0102.
 1988 03 91108.
 1988 02 8146.
 1988 01 86129·
 1987 12  3694·
 1987 11  7284·
 1987 10  66105·
 1987 09  2194.
 1987 08  77114.
 1987 07  3197·
 1987 06  9496·
 1987 05  6662·
 1987 04  3780.
 1987 03  13107·
 1987 02  70148.
 1987 01  27116·
 1986 12 5390.
 1986 11 86132·
 1986 10 92119.
 1986 09 3798·
 1986 08 8888·
 1986 07 45127·
 1986 06 87109.
 1986 05 51107·
 1986 04 31106·
 1986 03 1092·
 1986 02 6136·
 1986 01 51121·
 1985 12  93140.
 1985 11  23102.
 1985 10  22112.
 1985 09  44114·
 1985 08  1486.
 1985 07  54125·
 1985 06  37105.
 1985 05  6287.
 1985 04  5573.
 1985 03  98121.
 1985 02  77130·
 1985 01  61123·
 1984 12 5115·
 1984 11 73103·
 1984 10 9194·
 1984 09 2495·
 1984 08 7791·
 1984 07 2499·
 1984 06 5574.
 1984 05 5583·
 1984 04 888.
 1984 03 1983.
 1984 02 6999·
 1984 01 88103.
 1983 12  62136·
 1983 11  54108·
 1983 10  5988·
 1983 09  7994·
 1983 08  26119.
 1983 07  4698.
 1983 06  75105.
 1983 05  986.
 1983 04  13100·
 1983 03  41127·
 1983 02  92132.
 1983 01  86128.
 1982 12 61117·
 1982 11 7107.
 1982 10 12144.
 1982 09 40112.
 1982 08 33108.
 1982 07 39129.
 1982 06 59110·
 1982 05 28116.
 1982 04 1793.
 1982 03 55109·
 1982 02 83143.
 1982 01 33116·
 1981 12  26134.
 1981 11  99114.
 1981 10  60103.
 1981 09  6096·
 1981 08  9791.
 1981 07  4279.
 1981 06  9169·
 1981 05  4273.
 1981 04  9467.
 1981 03  7755.
 1981 02  1106·
 1981 01  3473.
 1980 12 474·
 1980 11 2384·
 1980 10 4085·
 1980 09 2063·
 1980 08 4163·
 1980 07 2497.
 1980 06 8388·
 1980 05 466.
 1980 04 4190.
 1980 03 4969.
 1980 02 3282.
 1980 01 1965·
 1979 12  6961.
 1979 11  9446.
 1979 10  1172.
 1979 09  2274·
 1979 08  1262.
 1979 07  7667·
 1979 06  7157·
 1979 05  9434.
 1979 04  8363·
 1979 03  3951·
 1979 02  8766.
 1979 01  4269.
 1978 12 1970·
 1978 11 5457·
 1978 10 5974·
 1978 09 9750.
 1978 08 8461.
 1978 07 1450·
 1978 06 1456.
 1978 05 1742.
 1978 04 6560.
 1978 03 3843.
 1978 02 173·
 1978 01 8283.
 1977 12  7651.
 1977 11  7161·
 1977 10  9554·
 1977 09  9953·
 1977 08  5548.
 1977 07  8152·
 1977 06  9843.
 1977 05  138.
 1977 04  6332.
 1977 03  6381·
 1977 02  3492.
 1977 01  4373.
 1976 12 9060.
 1976 11 3677·
 1976 10 5475·
 1976 09 864·
 1976 08 4875.
 1976 07 4463.
 1976 06 3460·
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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 5-6 weeks 35-44 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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