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 Series Title: Number Unemployed for 7-10 weeks 45-54 yrs. Female: NSA (Thousands)
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 2003 02  8376·
 2003 01  5264·
 2002 12 954.
 2002 11 8876.
 2002 10 4679·
 2002 09 4478·
 2002 08 44126.
 2002 07 39104·
 2002 06 1100.
 2002 05 6081.
 2002 04 697·
 2002 03 1470.
 2002 02 9786·
 2002 01 8078.
 2001 12  675.
 2001 11  5780·
 2001 10  1078.
 2001 09  1266.
 2001 08  8296·
 2001 07  3655.
 2001 06  4152.
 2001 05  8848·
 2001 04  9966.
 2001 03  4788.
 2001 02  1546·
 2001 01  6456·
 2000 12 4259·
 2000 11 842.
 2000 10 8266.
 2000 09 2178·
 2000 08 2687.
 2000 07 6446.
 2000 06 1758.
 2000 05 6746.
 2000 04 8927·
 2000 03 8352.
 2000 02 2274·
 2000 01 3375.
 1999 12  9251·
 1999 11  5960.
 1999 10  2141·
 1999 09  7566·
 1999 08  2585.
 1999 07  1264.
 1999 06  6538.
 1999 05  7546.
 1999 04  9942.
 1999 03  8745.
 1999 02  3055.
 1999 01  4153·
 1998 12 5472·
 1998 11 5153.
 1998 10 1530·
 1998 09 250·
 1998 08 5199.
 1998 07 083.
 1998 06 4637.
 1998 05 1745.
 1998 04 7844·
 1998 03 5160.
 1998 02 7343.
 1998 01 6755.
 1997 12  4946·
 1997 11  5168·
 1997 10  7249·
 1997 09  5878·
 1997 08  288·
 1997 07  6764.
 1997 06  4443.
 1997 05  2361·
 1997 04  9858.
 1997 03  9462·
 1997 02  1378.
 1997 01  1765.
 1996 12 2754.
 1996 11 5034.
 1996 10 3044·
 1996 09 2258·
 1996 08 179·
 1996 07 8164·
 1996 06 7057.
 1996 05 4656.
 1996 04 5844·
 1996 03 5554·
 1996 02 3463·
 1996 01 1985·
 1995 12  6160·
 1995 11  6650.
 1995 10  4746·
 1995 09  9848.
 1995 08  9772·
 1995 07  3456.
 1995 06  6040.
 1995 05  6530·
 1995 04  8036.
 1995 03  357.
 1995 02  4856.
 1995 01  2748.
 1994 12 4830·
 1994 11 4151.
 1994 10 1148.
 1994 09 1544·
 1994 08 6396.
 1994 07 4355.
 1994 06 7542·
 1994 05 8646.
 1994 04 1337.
 1994 03 2860.
 1994 02 9062·
 1994 01 2150·
 1993 12  1157.
 1993 11  4039.
 1993 10  3145.
 1993 09  2871.
 1993 08  96107.
 1993 07  4962·
 1993 06  9964·
 1993 05  3751.
 1993 04  2947·
 1993 03  4857·
 1993 02  2043·
 1993 01  653·
 1992 12 9953.
 1992 11 5642.
 1992 10 4364.
 1992 09 1568.
 1992 08 1943·
 1992 07 1949·
 1992 06 4450·
 1992 05 7350·
 1992 04 2751·
 1992 03 473.
 1992 02 2481·
 1992 01 949.
 1991 12  8562·
 1991 11  655.
 1991 10  759.
 1991 09  8244.
 1991 08  8258·
 1991 07  4548.
 1991 06  4544·
 1991 05  7250·
 1991 04  3045.
 1991 03  6359·
 1991 02  1359·
 1991 01  8744.
 1990 12 6753·
 1990 11 3248.
 1990 10 1044·
 1990 09 5751·
 1990 08 5644·
 1990 07 4337.
 1990 06 6331·
 1990 05 4038·
 1990 04 8528.
 1990 03 1829·
 1990 02 2143·
 1990 01 1764.
 1989 12  6754.
 1989 11  9937·
 1989 10  6146·
 1989 09  9528·
 1989 08  4039.
 1989 07  5728.
 1989 06  8332·
 1989 05  537·
 1989 04  6642·
 1989 03  8440.
 1989 02  1141.
 1989 01  540·
 1988 12 3446.
 1988 11 144·
 1988 10 9749·
 1988 09 7536.
 1988 08 5659·
 1988 07 5147·
 1988 06 1542·
 1988 05 2327.
 1988 04 7120·
 1988 03 436.
 1988 02 6738·
 1988 01 7950.
 1987 12  4148·
 1987 11  5339.
 1987 10  7739·
 1987 09  232.
 1987 08  5452.
 1987 07  1937.
 1987 06  9637·
 1987 05  7128.
 1987 04  2330·
 1987 03  4436·
 1987 02  9949·
 1987 01  9536.
 1986 12 8546·
 1986 11 9938.
 1986 10 8743·
 1986 09 437.
 1986 08 570.
 1986 07 7649·
 1986 06 8539·
 1986 05 5554.
 1986 04 6925.
 1986 03 9756.
 1986 02 4460.
 1986 01 3056·
 1985 12  9161·
 1985 11  343.
 1985 10  3843.
 1985 09  3643.
 1985 08  864·
 1985 07  6642·
 1985 06  6945.
 1985 05  355·
 1985 04  8446.
 1985 03  7863·
 1985 02  6159·
 1985 01  9050.
 1984 12 546·
 1984 11 5952·
 1984 10 6640.
 1984 09 7759·
 1984 08 8645.
 1984 07 5462.
 1984 06 5724·
 1984 05 7140.
 1984 04 6436·
 1984 03 3038.
 1984 02 3759.
 1984 01 459.
 1983 12  249.
 1983 11  8347.
 1983 10  3032·
 1983 09  3240.
 1983 08  8854·
 1983 07  3247·
 1983 06  8652·
 1983 05  3752.
 1983 04  3464·
 1983 03  2049·
 1983 02  8249·
 1983 01  2658.
 1982 12 7963·
 1982 11 1791.
 1982 10 1765·
 1982 09 2951.
 1982 08 8554.
 1982 07 1776.
 1982 06 1644.
 1982 05 562.
 1982 04 4045.
 1982 03 3971·
 1982 02 3162.
 1982 01 3550.
 1981 12  5859·
 1981 11  2868·
 1981 10  3747·
 1981 09  2444.
 1981 08  7655·
 1981 07  5152.
 1981 06  3319·
 1981 05  637.
 1981 04  5734·
 1981 03  548.
 1981 02  4641·
 1981 01  3639.
 1980 12 8942.
 1980 11 761·
 1980 10 2545·
 1980 09 9631·
 1980 08 8571.
 1980 07 169·
 1980 06 4635·
 1980 05 9234·
 1980 04 8236.
 1980 03 5849.
 1980 02 1045·
 1980 01 5738.
 1979 12  4446·
 1979 11  7136.
 1979 10  4251.
 1979 09  4848·
 1979 08  5950.
 1979 07  5944.
 1979 06  9318.
 1979 05  4420·
 1979 04  3938·
 1979 03  6637.
 1979 02  3639·
 1979 01  5537.
 1978 12 2230.
 1978 11 6243·
 1978 10 7442.
 1978 09 1032.
 1978 08 7161·
 1978 07 4040.
 1978 06 3236·
 1978 05 6642·
 1978 04 7438·
 1978 03 2137.
 1978 02 5938.
 1978 01 644·
 1977 12  4451.
 1977 11  4754·
 1977 10  3240.
 1977 09  3639.
 1977 08  1971.
 1977 07  8836·
 1977 06  5028·
 1977 05  8731·
 1977 04  6240.
 1977 03  3945.
 1977 02  3942·
 1977 01  1736.
 1976 12 6043.
 1976 11 1838.
 1976 10 5053.
 1976 09 650·
 1976 08 2752.
 1976 07 6924.
 1976 06 5728·
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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 7-10 weeks 45-54 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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