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 Series Title: Number Unemployed for 5-6 weeks 35-44 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  8447·
 2003 01  7327.
 2002 12 9036.
 2002 11 5156·
 2002 10 9532.
 2002 09 6422.
 2002 08 131·
 2002 07 8052·
 2002 06 5426.
 2002 05 3644·
 2002 04 9546·
 2002 03 8941.
 2002 02 1161·
 2002 01 6838.
 2001 12  8468·
 2001 11  2254.
 2001 10  4140·
 2001 09  6944·
 2001 08  641.
 2001 07  4867.
 2001 06  4532.
 2001 05  6924.
 2001 04  2336·
 2001 03  6228.
 2001 02  4833·
 2001 01  2636·
 2000 12 2412·
 2000 11 8243·
 2000 10 145·
 2000 09 2134.
 2000 08 2237·
 2000 07 5364·
 2000 06 7827.
 2000 05 6040.
 2000 04 5543.
 2000 03 4334·
 2000 02 8133.
 2000 01 7516.
 1999 12  8445·
 1999 11  4851.
 1999 10  3521·
 1999 09  2342·
 1999 08  9940·
 1999 07  8537·
 1999 06  9026.
 1999 05  8627.
 1999 04  1326.
 1999 03  027.
 1999 02  2143·
 1999 01  7029·
 1998 12 6265.
 1998 11 6156·
 1998 10 2958.
 1998 09 625·
 1998 08 1039·
 1998 07 6231·
 1998 06 3965.
 1998 05 5243·
 1998 04 4522.
 1998 03 2342·
 1998 02 250·
 1998 01 8936·
 1997 12  8052.
 1997 11  8853·
 1997 10  9447·
 1997 09  2428·
 1997 08  5356.
 1997 07  2542·
 1997 06  1350·
 1997 05  8849·
 1997 04  2633.
 1997 03  3048·
 1997 02  8772·
 1997 01  3822.
 1996 12 8781.
 1996 11 2167.
 1996 10 6489·
 1996 09 5632.
 1996 08 5064.
 1996 07 4242.
 1996 06 2145.
 1996 05 4843.
 1996 04 5232·
 1996 03 6230·
 1996 02 5956.
 1996 01 4534.
 1995 12  5647.
 1995 11  7765.
 1995 10  152.
 1995 09  648·
 1995 08  5070.
 1995 07  359·
 1995 06  044·
 1995 05  1044·
 1995 04  4631·
 1995 03  8748.
 1995 02  2967·
 1995 01  6521·
 1994 12 8451·
 1994 11 9759·
 1994 10 9151.
 1994 09 351.
 1994 08 2546.
 1994 07 2752·
 1994 06 957.
 1994 05 8044.
 1994 04 5843.
 1994 03 9654·
 1994 02 3475·
 1994 01 7737·
 1993 12  9553·
 1993 11  4865·
 1993 10  4370.
 1993 09  258.
 1993 08  7555·
 1993 07  5463·
 1993 06  3448·
 1993 05  8649·
 1993 04  5933.
 1993 03  543.
 1993 02  3451.
 1993 01  8668·
 1992 12 3762.
 1992 11 2341·
 1992 10 9360.
 1992 09 8356·
 1992 08 2176.
 1992 07 51122·
 1992 06 8667.
 1992 05 8445.
 1992 04 4849.
 1992 03 5880·
 1992 02 1465.
 1992 01 2060·
 1991 12  8343·
 1991 11  3844.
 1991 10  255·
 1991 09  4959·
 1991 08  1253.
 1991 07  1057·
 1991 06  055.
 1991 05  5156·
 1991 04  4875·
 1991 03  1972.
 1991 02  8472·
 1991 01  3449·
 1990 12 3166·
 1990 11 3463.
 1990 10 5546.
 1990 09 2971.
 1990 08 2166·
 1990 07 4976.
 1990 06 3736.
 1990 05 9332.
 1990 04 842·
 1990 03 8256·
 1990 02 8179·
 1990 01 748.
 1989 12  361.
 1989 11  7952.
 1989 10  6367·
 1989 09  7953.
 1989 08  4653.
 1989 07  860·
 1989 06  8354·
 1989 05  3935.
 1989 04  9931·
 1989 03  6342·
 1989 02  6547·
 1989 01  4457.
 1988 12 4950.
 1988 11 6443·
 1988 10 6226·
 1988 09 7730·
 1988 08 1041·
 1988 07 5563·
 1988 06 4722·
 1988 05 4362.
 1988 04 2047·
 1988 03 459·
 1988 02 2265·
 1988 01 7455.
 1987 12  4139·
 1987 11  741·
 1987 10  1143·
 1987 09  2752.
 1987 08  6148.
 1987 07  8154·
 1987 06  6641.
 1987 05  8431.
 1987 04  9441·
 1987 03  7239·
 1987 02  6167.
 1987 01  5143.
 1986 12 7738.
 1986 11 4862·
 1986 10 9779·
 1986 09 6042·
 1986 08 7350.
 1986 07 373·
 1986 06 046·
 1986 05 6750.
 1986 04 6932·
 1986 03 5839·
 1986 02 1937·
 1986 01 5435.
 1985 12  8058·
 1985 11  5553·
 1985 10  3077·
 1985 09  2864·
 1985 08  4248.
 1985 07  6465·
 1985 06  3458·
 1985 05  2157.
 1985 04  1926.
 1985 03  7946·
 1985 02  5663·
 1985 01  8855·
 1984 12 9864.
 1984 11 1967.
 1984 10 4650.
 1984 09 1243·
 1984 08 9334.
 1984 07 2963.
 1984 06 8045·
 1984 05 041·
 1984 04 4151·
 1984 03 7736·
 1984 02 5752·
 1984 01 8234·
 1983 12  548·
 1983 11  5860·
 1983 10  547·
 1983 09  1633·
 1983 08  7351·
 1983 07  9156.
 1983 06  7271.
 1983 05  8439.
 1983 04  5849·
 1983 03  1957.
 1983 02  3459.
 1983 01  9164.
 1982 12 9844·
 1982 11 1347.
 1982 10 9263·
 1982 09 6945·
 1982 08 5551·
 1982 07 6666·
 1982 06 7165.
 1982 05 7657.
 1982 04 1937·
 1982 03 9759.
 1982 02 2279·
 1982 01 9340·
 1981 12  049.
 1981 11  5048·
 1981 10  1961·
 1981 09  2656.
 1981 08  3848.
 1981 07  9647.
 1981 06  6343.
 1981 05  728.
 1981 04  9532.
 1981 03  2731.
 1981 02  8055·
 1981 01  9330·
 1980 12 6039·
 1980 11 6345.
 1980 10 2052·
 1980 09 6537.
 1980 08 4426·
 1980 07 4850.
 1980 06 5938.
 1980 05 3037.
 1980 04 8743·
 1980 03 5127·
 1980 02 9633·
 1980 01 2024·
 1979 12  5021.
 1979 11  6724.
 1979 10  5746·
 1979 09  9139·
 1979 08  2230.
 1979 07  1435·
 1979 06  9330.
 1979 05  2516·
 1979 04  1633·
 1979 03  3725·
 1979 02  7933.
 1979 01  2923.
 1978 12 6928·
 1978 11 436.
 1978 10 1543.
 1978 09 3433.
 1978 08 4429.
 1978 07 1030.
 1978 06 2737.
 1978 05 9622.
 1978 04 3031.
 1978 03 7524·
 1978 02 6534.
 1978 01 9831.
 1977 12  3929.
 1977 11  4127.
 1977 10  428·
 1977 09  4739.
 1977 08  925·
 1977 07  7934.
 1977 06  4627·
 1977 05  7317·
 1977 04  324.
 1977 03  8242·
 1977 02  1448.
 1977 01  3330·
 1976 12 924.
 1976 11 7039·
 1976 10 6036.
 1976 09 1031·
 1976 08 3941.
 1976 07 8734.
 1976 06 6035.
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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

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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. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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