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 Series Title: Number Unemployed for 11-14 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  98167.
 2003 01  1785·
 2002 12 3687.
 2002 11 2688.
 2002 10 8289·
 2002 09 2101.
 2002 08 8673·
 2002 07 6488·
 2002 06 4575·
 2002 05 9877·
 2002 04 5085.
 2002 03 13139·
 2002 02 37113.
 2002 01 86127·
 2001 12  39118.
 2001 11  1783.
 2001 10  3477.
 2001 09  7471.
 2001 08  9379.
 2001 07  4671·
 2001 06  3584·
 2001 05  9255·
 2001 04  7491·
 2001 03  9397.
 2001 02  6894.
 2001 01  9839.
 2000 12 7053.
 2000 11 7863.
 2000 10 8041·
 2000 09 7342.
 2000 08 9426·
 2000 07 4540.
 2000 06 5068.
 2000 05 2455·
 2000 04 8355.
 2000 03 6376.
 2000 02 7578·
 2000 01 8364.
 1999 12  156·
 1999 11  2626.
 1999 10  8341·
 1999 09  549.
 1999 08  3658·
 1999 07  5338·
 1999 06  2338.
 1999 05  7447·
 1999 04  079·
 1999 03  8985·
 1999 02  71104.
 1999 01  9490·
 1998 12 3257.
 1998 11 351·
 1998 10 2623·
 1998 09 9934.
 1998 08 9374.
 1998 07 8851.
 1998 06 1636.
 1998 05 4458·
 1998 04 7340·
 1998 03 6472.
 1998 02 8986·
 1998 01 1277.
 1997 12  8458·
 1997 11  7475.
 1997 10  2251.
 1997 09  849·
 1997 08  6380.
 1997 07  8965·
 1997 06  1441·
 1997 05  6544.
 1997 04  7587·
 1997 03  389·
 1997 02  91134·
 1997 01  4087·
 1996 12 665.
 1996 11 3469.
 1996 10 461·
 1996 09 1387.
 1996 08 6978.
 1996 07 2662·
 1996 06 2842.
 1996 05 9193.
 1996 04 387.
 1996 03 49107·
 1996 02 63135·
 1996 01 790.
 1995 12  71103·
 1995 11  9778.
 1995 10  3546·
 1995 09  1780.
 1995 08  5995.
 1995 07  8867.
 1995 06  9347.
 1995 05  270.
 1995 04  82127.
 1995 03  68119.
 1995 02  15100·
 1995 01  6974.
 1994 12 7771.
 1994 11 535·
 1994 10 9881·
 1994 09 5077.
 1994 08 686·
 1994 07 9458·
 1994 06 7151·
 1994 05 173·
 1994 04 5978.
 1994 03 53151·
 1994 02 81118·
 1994 01 497.
 1993 12  4782·
 1993 11  27106·
 1993 10  682·
 1993 09  6668·
 1993 08  850·
 1993 07  8450·
 1993 06  45105.
 1993 05  1880.
 1993 04  6115.
 1993 03  20173.
 1993 02  24150.
 1993 01  17106·
 1992 12 29117.
 1992 11 5385·
 1992 10 9367.
 1992 09 4493.
 1992 08 8875·
 1992 07 2775·
 1992 06 2867·
 1992 05 7103.
 1992 04 23112.
 1992 03 11125·
 1992 02 29131·
 1992 01 36128.
 1991 12  9697·
 1991 11  073·
 1991 10  2173·
 1991 09  8979.
 1991 08  9578·
 1991 07  1275.
 1991 06  54110.
 1991 05  4797·
 1991 04  32102·
 1991 03  92193·
 1991 02  5146·
 1991 01  17118.
 1990 12 46100.
 1990 11 1088·
 1990 10 7356·
 1990 09 3071·
 1990 08 060·
 1990 07 5872·
 1990 06 8561·
 1990 05 4344.
 1990 04 8167.
 1990 03 5693·
 1990 02 8992.
 1990 01 3870·
 1989 12  350.
 1989 11  4970·
 1989 10  6242.
 1989 09  2143·
 1989 08  361.
 1989 07  651.
 1989 06  535.
 1989 05  2534.
 1989 04  4443·
 1989 03  2082·
 1989 02  4192.
 1989 01  475.
 1988 12 1460.
 1988 11 1132.
 1988 10 2348·
 1988 09 4244.
 1988 08 2666.
 1988 07 2235.
 1988 06 2543.
 1988 05 4540·
 1988 04 1854.
 1988 03 2493.
 1988 02 4788·
 1988 01 4485.
 1987 12  5250·
 1987 11  1047·
 1987 10  1659.
 1987 09  9752.
 1987 08  1752.
 1987 07  058·
 1987 06  8140.
 1987 05  8455·
 1987 04  2669·
 1987 03  3795.
 1987 02  1781.
 1987 01  13112·
 1986 12 1669·
 1986 11 9068.
 1986 10 2660·
 1986 09 1563.
 1986 08 5074.
 1986 07 5458·
 1986 06 3369·
 1986 05 4652.
 1986 04 1658.
 1986 03 49103.
 1986 02 8796.
 1986 01 8972.
 1985 12  2881·
 1985 11  1743·
 1985 10  6558·
 1985 09  5048·
 1985 08  2251·
 1985 07  2868.
 1985 06  6760.
 1985 05  6153·
 1985 04  6249.
 1985 03  77101·
 1985 02  1791.
 1985 01  7871·
 1984 12 3641.
 1984 11 8252·
 1984 10 6847.
 1984 09 8242·
 1984 08 5745·
 1984 07 8850·
 1984 06 9356.
 1984 05 8240·
 1984 04 6280·
 1984 03 6485.
 1984 02 9376.
 1984 01 784.
 1983 12  1440.
 1983 11  343.
 1983 10  9566.
 1983 09  1561·
 1983 08  252.
 1983 07  2660.
 1983 06  4757.
 1983 05  8869.
 1983 04  3891·
 1983 03  76116·
 1983 02  26130·
 1983 01  32133·
 1982 12 6099·
 1982 11 22131·
 1982 10 3269.
 1982 09 7981·
 1982 08 3173·
 1982 07 5859.
 1982 06 9071·
 1982 05 8546·
 1982 04 3879·
 1982 03 4101·
 1982 02 51109.
 1982 01 3283.
 1981 12  9683.
 1981 11  440.
 1981 10  8941·
 1981 09  2743·
 1981 08  4139.
 1981 07  2730.
 1981 06  620.
 1981 05  121·
 1981 04  3745.
 1981 03  6775.
 1981 02  2859·
 1981 01  1152·
 1980 12 7165·
 1980 11 4356.
 1980 10 337.
 1980 09 3947.
 1980 08 5670.
 1980 07 9952·
 1980 06 847.
 1980 05 9148.
 1980 04 3137·
 1980 03 559·
 1980 02 4347.
 1980 01 9939·
 1979 12  5734.
 1979 11  5429.
 1979 10  3326·
 1979 09  2030·
 1979 08  2420·
 1979 07  6624.
 1979 06  2926·
 1979 05  3430.
 1979 04  4328·
 1979 03  8547.
 1979 02  652·
 1979 01  5041·
 1978 12 5324·
 1978 11 8015.
 1978 10 6514.
 1978 09 9715.
 1978 08 1714.
 1978 07 4511.
 1978 06 3122·
 1978 05 3434.
 1978 04 2319.
 1978 03 9949·
 1978 02 5443.
 1978 01 4219·
 1977 12  8323.
 1977 11  8724·
 1977 10  1022.
 1977 09  2727.
 1977 08  3520.
 1977 07  7723.
 1977 06  9940·
 1977 05  2135·
 1977 04  4244.
 1977 03  6464.
 1977 02  4759·
 1977 01  8150·
 1976 12 9223·
 1976 11 6735·
 1976 10 329·
 1976 09 8829.
 1976 08 9940.
 1976 07 3038.
 1976 06 4430.
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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 11-14 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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