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 Series Title: Number Unemployed for 5-6 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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 2003 02  2134·
 2003 01  869.
 2002 12 1936·
 2002 11 2741.
 2002 10 4623·
 2002 09 916.
 2002 08 5432·
 2002 07 4764·
 2002 06 3728·
 2002 05 3047.
 2002 04 8924.
 2002 03 6536.
 2002 02 4625.
 2002 01 3129·
 2001 12  3932·
 2001 11  2733.
 2001 10  4629.
 2001 09  2023·
 2001 08  4038.
 2001 07  053.
 2001 06  3924·
 2001 05  2619·
 2001 04  561.
 2001 03  7932.
 2001 02  5022·
 2001 01  88·
 2000 12 7424·
 2000 11 8316.
 2000 10 2922·
 2000 09 4632.
 2000 08 819·
 2000 07 5747·
 2000 06 5220·
 2000 05 4832.
 2000 04 95
 2000 03 6914.
 2000 02 1928·
 2000 01 4422·
 1999 12  9848.
 1999 11  1422.
 1999 10  5527.
 1999 09  9215·
 1999 08  527.
 1999 07  1129.
 1999 06  1119.
 1999 05  736.
 1999 04  3022.
 1999 03  328·
 1999 02  6326.
 1999 01  9519.
 1998 12 820·
 1998 11 6133.
 1998 10 1019·
 1998 09 8718·
 1998 08 527·
 1998 07 7829.
 1998 06 7836·
 1998 05 820.
 1998 04 724·
 1998 03 7320·
 1998 02 1740·
 1998 01 3911·
 1997 12  2817·
 1997 11  9118.
 1997 10  434.
 1997 09  8611·
 1997 08  523·
 1997 07  026·
 1997 06  3723·
 1997 05  8113·
 1997 04  139.
 1997 03  9627·
 1997 02  4351.
 1997 01  8113·
 1996 12 535·
 1996 11 9615·
 1996 10 7235·
 1996 09 6730·
 1996 08 2846.
 1996 07 4511.
 1996 06 033·
 1996 05 4722·
 1996 04 1017.
 1996 03 1215.
 1996 02 2632.
 1996 01 5114.
 1995 12  1220·
 1995 11  9214.
 1995 10  7632·
 1995 09  3614.
 1995 08  2323.
 1995 07  330.
 1995 06  125.
 1995 05  8415.
 1995 04  5612·
 1995 03  9022·
 1995 02  7633·
 1995 01  119·
 1994 12 4836.
 1994 11 2126·
 1994 10 129.
 1994 09 208·
 1994 08 6234.
 1994 07 9129·
 1994 06 225.
 1994 05 9726.
 1994 04 8717·
 1994 03 2028·
 1994 02 2930·
 1994 01 1317·
 1993 12  3526·
 1993 11  5125.
 1993 10  5822·
 1993 09  7622·
 1993 08  4436·
 1993 07  5240.
 1993 06  8823.
 1993 05  1643·
 1993 04  7738.
 1993 03  2038.
 1993 02  4632·
 1993 01  9039.
 1992 12 2241·
 1992 11 7228·
 1992 10 8127·
 1992 09 8140·
 1992 08 9254·
 1992 07 5338·
 1992 06 6918.
 1992 05 9427.
 1992 04 2429·
 1992 03 3134.
 1992 02 1139·
 1992 01 6137.
 1991 12  8235.
 1991 11  231·
 1991 10  3227.
 1991 09  4058.
 1991 08  5327·
 1991 07  8432·
 1991 06  8226·
 1991 05  1125·
 1991 04  5037.
 1991 03  2116·
 1991 02  3637·
 1991 01  8146.
 1990 12 1226·
 1990 11 8220.
 1990 10 9631·
 1990 09 8341·
 1990 08 117.
 1990 07 6234·
 1990 06 8626.
 1990 05 7229·
 1990 04 518.
 1990 03 8021·
 1990 02 5644·
 1990 01 2914.
 1989 12  3620.
 1989 11  8019·
 1989 10  8325·
 1989 09  6327.
 1989 08  3320.
 1989 07  3124.
 1989 06  6730.
 1989 05  414.
 1989 04  5922·
 1989 03  2714·
 1989 02  3231.
 1989 01  1021·
 1988 12 247.
 1988 11 8727·
 1988 10 3017.
 1988 09 6137·
 1988 08 7421·
 1988 07 5535·
 1988 06 3619.
 1988 05 6421.
 1988 04 1315·
 1988 03 29.
 1988 02 4930·
 1988 01 5219·
 1987 12  8317·
 1987 11  1927·
 1987 10  9624.
 1987 09  8014·
 1987 08  7025·
 1987 07  2818·
 1987 06  2814.
 1987 05  3018.
 1987 04  8927.
 1987 03  7223.
 1987 02  1833·
 1987 01  1010·
 1986 12 7614.
 1986 11 2028.
 1986 10 6823.
 1986 09 4929.
 1986 08 9528·
 1986 07 6654·
 1986 06 327.
 1986 05 724.
 1986 04 3425·
 1986 03 2932·
 1986 02 7458·
 1986 01 6330·
 1985 12  536·
 1985 11  5524·
 1985 10  5626.
 1985 09  2429.
 1985 08  4719.
 1985 07  1038·
 1985 06  4823·
 1985 05  2333.
 1985 04  2226.
 1985 03  9121·
 1985 02  7845·
 1985 01  1534.
 1984 12 1941·
 1984 11 1625·
 1984 10 9436·
 1984 09 8324·
 1984 08 4924.
 1984 07 2835·
 1984 06 7320.
 1984 05 3313.
 1984 04 5213·
 1984 03 9821.
 1984 02 1535·
 1984 01 9620·
 1983 12  8928.
 1983 11  209.
 1983 10  4542·
 1983 09  3024·
 1983 08  4939·
 1983 07  1250·
 1983 06  1429·
 1983 05  1633.
 1983 04  4519.
 1983 03  1825.
 1983 02  9620·
 1983 01  6111·
 1982 12 1529·
 1982 11 930·
 1982 10 9338.
 1982 09 9621.
 1982 08 2041·
 1982 07 7721.
 1982 06 3021.
 1982 05 7723·
 1982 04 5126.
 1982 03 4245·
 1982 02 5755·
 1982 01 8826·
 1981 12  1831·
 1981 11  4926.
 1981 10  4967.
 1981 09  3319.
 1981 08  6139.
 1981 07  6618.
 1981 06  823·
 1981 05  4526·
 1981 04  4111·
 1981 03  8829.
 1981 02  5839·
 1981 01  8128·
 1980 12 4822·
 1980 11 3323·
 1980 10 4940.
 1980 09 2226.
 1980 08 9320·
 1980 07 4632·
 1980 06 5821·
 1980 05 7526.
 1980 04 1526·
 1980 03 9622.
 1980 02 8432.
 1980 01 7121·
 1979 12  7741·
 1979 11  7722·
 1979 10  5321.
 1979 09  6720.
 1979 08  6620·
 1979 07  930·
 1979 06  1518.
 1979 05  4425.
 1979 04  956·
 1979 03  3427.
 1979 02  4623.
 1979 01  1036·
 1978 12 325·
 1978 11 2415.
 1978 10 4628.
 1978 09 9611·
 1978 08 5226.
 1978 07 7039.
 1978 06 4126.
 1978 05 5914·
 1978 04 3021.
 1978 03 9417·
 1978 02 8020.
 1978 01 8017·
 1977 12  499.
 1977 11  3924·
 1977 10  4035·
 1977 09  6528·
 1977 08  4928·
 1977 07  7320.
 1977 06  2016·
 1977 05  4718.
 1977 04  9120·
 1977 03  9223·
 1977 02  4627·
 1977 01  8329·
 1976 12 6425.
 1976 11 1438·
 1976 10 6930·
 1976 09 537·
 1976 08 8125.
 1976 07 8430.
 1976 06 6417.
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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 5-6 weeks 45-54 yrs. Female: 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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