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 Series Title: Number Unemployed for 7-10 weeks 35-44 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  18206.
 2003 01  11191.
 2002 12 42106·
 2002 11 81113.
 2002 10 24109.
 2002 09 68100·
 2002 08 14115.
 2002 07 9091·
 2002 06 8108·
 2002 05 36116.
 2002 04 99144·
 2002 03 11139·
 2002 02 22196·
 2002 01 96189.
 2001 12  11141.
 2001 11  87153.
 2001 10  41115.
 2001 09  55108·
 2001 08  8682·
 2001 07  88122.
 2001 06  65101·
 2001 05  46101.
 2001 04  8972·
 2001 03  7126·
 2001 02  18129·
 2001 01  23139·
 2000 12 774.
 2000 11 6475.
 2000 10 5370·
 2000 09 7078.
 2000 08 5279.
 2000 07 381.
 2000 06 4475.
 2000 05 9386·
 2000 04 64103.
 2000 03 9383·
 2000 02 92156.
 2000 01 2484.
 1999 12  486.
 1999 11  2873.
 1999 10  2151·
 1999 09  1869.
 1999 08  6082·
 1999 07  2769·
 1999 06  8373·
 1999 05  5881.
 1999 04  4687.
 1999 03  35104·
 1999 02  53120·
 1999 01  51120.
 1998 12 0102.
 1998 11 2057·
 1998 10 3073·
 1998 09 2768·
 1998 08 8395·
 1998 07 7780.
 1998 06 4279·
 1998 05 4466.
 1998 04 8585.
 1998 03 2593.
 1998 02 37122·
 1998 01 84147·
 1997 12  1775·
 1997 11  759.
 1997 10  91100·
 1997 09  5281·
 1997 08  1971·
 1997 07  94118.
 1997 06  670.
 1997 05  8177·
 1997 04  52101·
 1997 03  80142.
 1997 02  5158.
 1997 01  27167.
 1996 12 597·
 1996 11 8298.
 1996 10 4073.
 1996 09 72116.
 1996 08 9096·
 1996 07 46110·
 1996 06 8582.
 1996 05 2365.
 1996 04 46103.
 1996 03 41145·
 1996 02 42152.
 1996 01 11162·
 1995 12  3682.
 1995 11  61119.
 1995 10  3698·
 1995 09  9280.
 1995 08  4687·
 1995 07  24124.
 1995 06  1697.
 1995 05  4979.
 1995 04  9172·
 1995 03  76145·
 1995 02  59178·
 1995 01  88162·
 1994 12 793·
 1994 11 85105·
 1994 10 6577·
 1994 09 41134·
 1994 08 5989·
 1994 07 4683.
 1994 06 5985.
 1994 05 6479.
 1994 04 33127·
 1994 03 77143·
 1994 02 92187.
 1994 01 38178.
 1993 12  43108·
 1993 11  22101.
 1993 10  38132.
 1993 09  7299.
 1993 08  26134·
 1993 07  52120.
 1993 06  9993·
 1993 05  96115.
 1993 04  46125.
 1993 03  59107.
 1993 02  0164·
 1993 01  67164·
 1992 12 90158.
 1992 11 64140·
 1992 10 91118·
 1992 09 66113.
 1992 08 72153.
 1992 07 10117.
 1992 06 48111·
 1992 05 1112·
 1992 04 2999·
 1992 03 66168·
 1992 02 70236.
 1992 01 2139·
 1991 12  23146.
 1991 11  26150·
 1991 10  84134.
 1991 09  27105.
 1991 08  44154.
 1991 07  11128.
 1991 06  4097.
 1991 05  57112.
 1991 04  3149·
 1991 03  63151·
 1991 02  12189.
 1991 01  98155.
 1990 12 39163.
 1990 11 5297.
 1990 10 292·
 1990 09 83108.
 1990 08 1587·
 1990 07 7280.
 1990 06 3690.
 1990 05 6882·
 1990 04 1886.
 1990 03 43120·
 1990 02 62151·
 1990 01 35127.
 1989 12  6285·
 1989 11  786.
 1989 10  5788.
 1989 09  9074·
 1989 08  8374·
 1989 07  3682.
 1989 06  2176·
 1989 05  6560.
 1989 04  4660.
 1989 03  2294.
 1989 02  80126.
 1989 01  17119.
 1988 12 38105.
 1988 11 8483.
 1988 10 8367·
 1988 09 2782·
 1988 08 7261.
 1988 07 68100.
 1988 06 763·
 1988 05 172.
 1988 04 86101·
 1988 03 42112.
 1988 02 51118·
 1988 01 73107.
 1987 12  4256·
 1987 11  064.
 1987 10  4269·
 1987 09  9766·
 1987 08  2966·
 1987 07  6184.
 1987 06  2858.
 1987 05  5658·
 1987 04  5987.
 1987 03  70116·
 1987 02  87142.
 1987 01  57107.
 1986 12 71114.
 1986 11 95104·
 1986 10 18113.
 1986 09 3198.
 1986 08 27112·
 1986 07 31110.
 1986 06 4690·
 1986 05 3477·
 1986 04 1679.
 1986 03 9791·
 1986 02 22165.
 1986 01 49138.
 1985 12  4990.
 1985 11  37102.
 1985 10  2293·
 1985 09  8261·
 1985 08  6564·
 1985 07  2161.
 1985 06  4676·
 1985 05  6469.
 1985 04  27105.
 1985 03  4188·
 1985 02  18121.
 1985 01  53106·
 1984 12 23108.
 1984 11 1881.
 1984 10 9091·
 1984 09 2996·
 1984 08 6584.
 1984 07 9647·
 1984 06 3865·
 1984 05 067.
 1984 04 9279.
 1984 03 4480·
 1984 02 60121.
 1984 01 98104·
 1983 12  6782.
 1983 11  5593·
 1983 10  83104·
 1983 09  78100·
 1983 08  7688·
 1983 07  50101·
 1983 06  5776·
 1983 05  2373·
 1983 04  34123.
 1983 03  71106.
 1983 02  58149.
 1983 01  39146·
 1982 12 78142·
 1982 11 89145.
 1982 10 86116·
 1982 09 5790.
 1982 08 7192·
 1982 07 9888.
 1982 06 6678·
 1982 05 3597·
 1982 04 087·
 1982 03 16103·
 1982 02 48158·
 1982 01 54151.
 1981 12  80104·
 1981 11  8778.
 1981 10  968·
 1981 09  2138·
 1981 08  4741.
 1981 07  8250.
 1981 06  4838.
 1981 05  6760.
 1981 04  6472·
 1981 03  9472.
 1981 02  91102.
 1981 01  4976.
 1980 12 2048.
 1980 11 4149.
 1980 10 8866·
 1980 09 4956·
 1980 08 2790.
 1980 07 7084.
 1980 06 1587·
 1980 05 7359·
 1980 04 2452.
 1980 03 4776.
 1980 02 7294.
 1980 01 5263.
 1979 12  7258.
 1979 11  6862·
 1979 10  8462.
 1979 09  4553.
 1979 08  6136·
 1979 07  5223·
 1979 06  225.
 1979 05  3126.
 1979 04  236·
 1979 03  4342·
 1979 02  165·
 1979 01  1951·
 1978 12 3439.
 1978 11 1041.
 1978 10 8228·
 1978 09 3835.
 1978 08 2046·
 1978 07 4722.
 1978 06 6923·
 1978 05 4733·
 1978 04 4730.
 1978 03 7360·
 1978 02 1588·
 1978 01 2764·
 1977 12  2939.
 1977 11  3232·
 1977 10  9235.
 1977 09  8434·
 1977 08  342·
 1977 07  9535.
 1977 06  320·
 1977 05  5056.
 1977 04  3247.
 1977 03  5357.
 1977 02  7382.
 1977 01  8169.
 1976 12 454.
 1976 11 2849.
 1976 10 5158·
 1976 09 6042.
 1976 08 3355.
 1976 07 6345·
 1976 06 1437·
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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 7-10 weeks 35-44 yrs. Male: 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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