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 Series Title: Number Unemployed for 5-6 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  8679·
 2003 01  5673.
 2002 12 9295.
 2002 11 7863.
 2002 10 2231·
 2002 09 3330·
 2002 08 2535·
 2002 07 4035.
 2002 06 9921·
 2002 05 8430.
 2002 04 3440.
 2002 03 7548·
 2002 02 6866·
 2002 01 9063·
 2001 12  3269·
 2001 11  2860.
 2001 10  449·
 2001 09  5737.
 2001 08  5644.
 2001 07  6739·
 2001 06  715.
 2001 05  1857.
 2001 04  7034.
 2001 03  8852.
 2001 02  454·
 2001 01  2965.
 2000 12 6256·
 2000 11 1044·
 2000 10 4311.
 2000 09 7127.
 2000 08 4336·
 2000 07 7521.
 2000 06 229·
 2000 05 5230·
 2000 04 5328.
 2000 03 5431.
 2000 02 7967·
 2000 01 348.
 1999 12  5423·
 1999 11  4155.
 1999 10  130·
 1999 09  8029.
 1999 08  3529·
 1999 07  5444.
 1999 06  1841·
 1999 05  6632.
 1999 04  717.
 1999 03  3935·
 1999 02  546.
 1999 01  6748·
 1998 12 953·
 1998 11 6377·
 1998 10 6224·
 1998 09 1419.
 1998 08 331·
 1998 07 2246.
 1998 06 1625.
 1998 05 6439·
 1998 04 7910·
 1998 03 3439.
 1998 02 1669.
 1998 01 9929·
 1997 12  4753.
 1997 11  4448·
 1997 10  3856·
 1997 09  2528·
 1997 08  4730·
 1997 07  2039.
 1997 06  8237.
 1997 05  7526·
 1997 04  4235·
 1997 03  5786.
 1997 02  7488.
 1997 01  448.
 1996 12 1892.
 1996 11 7435·
 1996 10 6348·
 1996 09 9427.
 1996 08 9049·
 1996 07 1525.
 1996 06 2647·
 1996 05 5337.
 1996 04 9433.
 1996 03 4961.
 1996 02 6370.
 1996 01 1137.
 1995 12  9559.
 1995 11  7067·
 1995 10  9974.
 1995 09  2628·
 1995 08  7960·
 1995 07  9817·
 1995 06  8430.
 1995 05  7851.
 1995 04  6032.
 1995 03  7756.
 1995 02  9579·
 1995 01  7549·
 1994 12 7553.
 1994 11 7544.
 1994 10 3039·
 1994 09 4834·
 1994 08 8736·
 1994 07 8725.
 1994 06 1728.
 1994 05 5430.
 1994 04 8535.
 1994 03 3283.
 1994 02 491.
 1994 01 7550.
 1993 12  8167.
 1993 11  5586.
 1993 10  6868·
 1993 09  1673·
 1993 08  1374·
 1993 07  2352.
 1993 06  947.
 1993 05  1153·
 1993 04  4428.
 1993 03  3376.
 1993 02  5390.
 1993 01  1473.
 1992 12 6264.
 1992 11 161·
 1992 10 4876·
 1992 09 982.
 1992 08 8067·
 1992 07 7447·
 1992 06 7261.
 1992 05 241.
 1992 04 3570.
 1992 03 1960.
 1992 02 25126·
 1992 01 24118.
 1991 12  9198.
 1991 11  3278·
 1991 10  3165·
 1991 09  3180.
 1991 08  3563·
 1991 07  3076.
 1991 06  4167·
 1991 05  786.
 1991 04  8182.
 1991 03  5964·
 1991 02  3199.
 1991 01  5690.
 1990 12 6696.
 1990 11 8888·
 1990 10 161.
 1990 09 1267.
 1990 08 5250.
 1990 07 1074·
 1990 06 7742.
 1990 05 3083.
 1990 04 2935.
 1990 03 4450.
 1990 02 876.
 1990 01 92108.
 1989 12  965.
 1989 11  3661·
 1989 10  7134.
 1989 09  537·
 1989 08  2953·
 1989 07  5350.
 1989 06  6533·
 1989 05  149·
 1989 04  5365·
 1989 03  9173.
 1989 02  1660·
 1989 01  3672·
 1988 12 6987.
 1988 11 6849·
 1988 10 7446·
 1988 09 9131·
 1988 08 8950·
 1988 07 2854.
 1988 06 1529.
 1988 05 7466.
 1988 04 5155.
 1988 03 4149.
 1988 02 3980·
 1988 01 1575.
 1987 12  1854.
 1987 11  143·
 1987 10  7262.
 1987 09  7342.
 1987 08  7966.
 1987 07  2643·
 1987 06  6456.
 1987 05  2831·
 1987 04  4639·
 1987 03  6267·
 1987 02  9081.
 1987 01  8673.
 1986 12 5652·
 1986 11 7770.
 1986 10 5040·
 1986 09 8056·
 1986 08 7338.
 1986 07 6554·
 1986 06 7163.
 1986 05 6757·
 1986 04 8573.
 1986 03 4552·
 1986 02 299.
 1986 01 2786.
 1985 12  582·
 1985 11  6249·
 1985 10  1935.
 1985 09  6850·
 1985 08  6938.
 1985 07  8460.
 1985 06  2347.
 1985 05  2130·
 1985 04  4346·
 1985 03  775.
 1985 02  3867.
 1985 01  4368·
 1984 12 1251.
 1984 11 4836.
 1984 10 1544·
 1984 09 1552·
 1984 08 9157.
 1984 07 5336·
 1984 06 2929.
 1984 05 4442.
 1984 04 1637·
 1984 03 9046·
 1984 02 8247·
 1984 01 6269.
 1983 12  5289.
 1983 11  5347.
 1983 10  9741.
 1983 09  2562.
 1983 08  8568.
 1983 07  6141·
 1983 06  2634.
 1983 05  1547·
 1983 04  2951.
 1983 03  6070.
 1983 02  4473.
 1983 01  3964·
 1982 12 2173·
 1982 11 1761·
 1982 10 5280·
 1982 09 2867.
 1982 08 2557·
 1982 07 2763·
 1982 06 7446·
 1982 05 3959·
 1982 04 2856·
 1982 03 950.
 1982 02 6263.
 1982 01 5475.
 1981 12  4484·
 1981 11  866.
 1981 10  9042.
 1981 09  7840.
 1981 08  1043·
 1981 07  9232·
 1981 06  5926.
 1981 05  4545·
 1981 04  8835·
 1981 03  5524.
 1981 02  9450·
 1981 01  1043·
 1980 12 6834·
 1980 11 1738.
 1980 10 4633.
 1980 09 5526·
 1980 08 6138.
 1980 07 2246.
 1980 06 9051.
 1980 05 8728.
 1980 04 647.
 1980 03 3942.
 1980 02 2749.
 1980 01 3740·
 1979 12  6638.
 1979 11  6222·
 1979 10  8127.
 1979 09  6335.
 1979 08  2832·
 1979 07  1032·
 1979 06  426·
 1979 05  4517·
 1979 04  530.
 1979 03  2827.
 1979 02  7134·
 1979 01  9047.
 1978 12 3641.
 1978 11 8421·
 1978 10 8131·
 1978 09 3017·
 1978 08 8331·
 1978 07 7220·
 1978 06 6218·
 1978 05 2220.
 1978 04 3429·
 1978 03 1319·
 1978 02 6239·
 1978 01 4752·
 1977 12  222·
 1977 11  4934.
 1977 10  5726·
 1977 09  1213·
 1977 08  2423·
 1977 07  5017·
 1977 06  4815.
 1977 05  4921·
 1977 04  657.
 1977 03  1138·
 1977 02  5944·
 1977 01  1342.
 1976 12 1136·
 1976 11 5038.
 1976 10 4339.
 1976 09 8832·
 1976 08 7534·
 1976 07 1228·
 1976 06 7324·
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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. 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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