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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs. Female: NSA (Thousands)
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 2003 02  72100·
 2003 01  76110.
 2002 12 4756.
 2002 11 6393.
 2002 10 2570·
 2002 09 3884·
 2002 08 7109·
 2002 07 6877·
 2002 06 3880·
 2002 05 9195·
 2002 04 61100·
 2002 03 6593.
 2002 02 61119.
 2002 01 19116.
 2001 12  2294.
 2001 11  9960.
 2001 10  7179.
 2001 09  2786.
 2001 08  2979·
 2001 07  3981·
 2001 06  6672·
 2001 05  4747.
 2001 04  4565·
 2001 03  7970·
 2001 02  7336.
 2001 01  3679·
 2000 12 5649.
 2000 11 3759·
 2000 10 4342·
 2000 09 7581·
 2000 08 7791.
 2000 07 5934·
 2000 06 4973·
 2000 05 7175·
 2000 04 4544.
 2000 03 1357.
 2000 02 9447·
 2000 01 5666.
 1999 12  2246·
 1999 11  9366.
 1999 10  257·
 1999 09  8778.
 1999 08  9892·
 1999 07  1962·
 1999 06  2357·
 1999 05  4440·
 1999 04  8495·
 1999 03  3562·
 1999 02  3388.
 1999 01  3554.
 1998 12 1962·
 1998 11 968·
 1998 10 3372.
 1998 09 9279.
 1998 08 6564·
 1998 07 3767.
 1998 06 4750.
 1998 05 7082.
 1998 04 1065·
 1998 03 3671·
 1998 02 2783.
 1998 01 5276·
 1997 12  6857·
 1997 11  5259·
 1997 10  4748·
 1997 09  4364.
 1997 08  7684.
 1997 07  53100.
 1997 06  967.
 1997 05  7796·
 1997 04  9793.
 1997 03  3481.
 1997 02  3693·
 1997 01  9104·
 1996 12 18100.
 1996 11 1367·
 1996 10 8091·
 1996 09 2271·
 1996 08 5491·
 1996 07 3588·
 1996 06 1753.
 1996 05 2167.
 1996 04 41108.
 1996 03 6984.
 1996 02 4560.
 1996 01 3883.
 1995 12  4363.
 1995 11  972.
 1995 10  92115·
 1995 09  31107·
 1995 08  47138·
 1995 07  74104.
 1995 06  747.
 1995 05  8091.
 1995 04  6784·
 1995 03  984.
 1995 02  6663·
 1995 01  92103·
 1994 12 4073·
 1994 11 8269.
 1994 10 6984·
 1994 09 072.
 1994 08 2983.
 1994 07 8875.
 1994 06 41125·
 1994 05 5968·
 1994 04 2294.
 1994 03 46133.
 1994 02 33147.
 1994 01 5195·
 1993 12  3286·
 1993 11  9962.
 1993 10  2181·
 1993 09  83112·
 1993 08  9774·
 1993 07  18103·
 1993 06  475·
 1993 05  8780·
 1993 04  79108.
 1993 03  96111.
 1993 02  899.
 1993 01  19103.
 1992 12 67109.
 1992 11 52102·
 1992 10 8375·
 1992 09 6077.
 1992 08 74117.
 1992 07 31100.
 1992 06 592·
 1992 05 1983·
 1992 04 3793.
 1992 03 1125.
 1992 02 75125·
 1992 01 25114.
 1991 12  19121·
 1991 11  5796·
 1991 10  17113·
 1991 09  3583.
 1991 08  9107.
 1991 07  1896·
 1991 06  8274.
 1991 05  3398·
 1991 04  18105·
 1991 03  28140.
 1991 02  4599.
 1991 01  2389·
 1990 12 8689·
 1990 11 5682·
 1990 10 783.
 1990 09 3873·
 1990 08 7486·
 1990 07 9758·
 1990 06 9478.
 1990 05 3450·
 1990 04 7170·
 1990 03 6989.
 1990 02 5572.
 1990 01 9363·
 1989 12  89103·
 1989 11  1752·
 1989 10  6565.
 1989 09  2183.
 1989 08  67100·
 1989 07  964·
 1989 06  2668·
 1989 05  5182.
 1989 04  6866.
 1989 03  4072·
 1989 02  6371.
 1989 01  3980.
 1988 12 7976·
 1988 11 3096.
 1988 10 2657.
 1988 09 6677·
 1988 08 1385·
 1988 07 2153.
 1988 06 9181.
 1988 05 3973.
 1988 04 864·
 1988 03 8488.
 1988 02 5753.
 1988 01 9087·
 1987 12  2754.
 1987 11  1252.
 1987 10  5045.
 1987 09  7660.
 1987 08  57115·
 1987 07  2562.
 1987 06  2261.
 1987 05  7765·
 1987 04  1387·
 1987 03  6791.
 1987 02  4653·
 1987 01  190.
 1986 12 3174·
 1986 11 799·
 1986 10 2485·
 1986 09 8087.
 1986 08 75109·
 1986 07 3895·
 1986 06 8088.
 1986 05 6993.
 1986 04 3278·
 1986 03 81109·
 1986 02 6684·
 1986 01 51109.
 1985 12  1597·
 1985 11  79116·
 1985 10  57102.
 1985 09  33119·
 1985 08  6397.
 1985 07  283·
 1985 06  5288·
 1985 05  4589·
 1985 04  3889·
 1985 03  4392.
 1985 02  7887·
 1985 01  4593.
 1984 12 27131·
 1984 11 2180·
 1984 10 8581·
 1984 09 1477.
 1984 08 45105·
 1984 07 8284·
 1984 06 4786.
 1984 05 5843.
 1984 04 2882·
 1984 03 94121·
 1984 02 67107·
 1984 01 10110·
 1983 12  4086.
 1983 11  51100.
 1983 10  6897·
 1983 09  27110.
 1983 08  68134.
 1983 07  7260.
 1983 06  297.
 1983 05  8967·
 1983 04  2697·
 1983 03  193·
 1983 02  43114.
 1983 01  3136.
 1982 12 51137·
 1982 11 8129.
 1982 10 93108.
 1982 09 1119.
 1982 08 7131.
 1982 07 8792.
 1982 06 76101.
 1982 05 4098.
 1982 04 8093·
 1982 03 57143.
 1982 02 43104·
 1982 01 295.
 1981 12  8598.
 1981 11  6191·
 1981 10  7082·
 1981 09  9275·
 1981 08  5880.
 1981 07  7081.
 1981 06  5660.
 1981 05  4362·
 1981 04  6374·
 1981 03  7786·
 1981 02  2797.
 1981 01  1168.
 1980 12 8896·
 1980 11 283.
 1980 10 3371·
 1980 09 7891.
 1980 08 4594·
 1980 07 8873.
 1980 06 5163.
 1980 05 5052·
 1980 04 7359.
 1980 03 583·
 1980 02 8073.
 1980 01 6078·
 1979 12  3477·
 1979 11  4661·
 1979 10  4577.
 1979 09  6380.
 1979 08  1769·
 1979 07  3266·
 1979 06  9866·
 1979 05  4243·
 1979 04  3359.
 1979 03  562·
 1979 02  1261·
 1979 01  350.
 1978 12 2173.
 1978 11 3654·
 1978 10 9035·
 1978 09 7789·
 1978 08 4551.
 1978 07 1953·
 1978 06 5634.
 1978 05 2230·
 1978 04 9143.
 1978 03 7175·
 1978 02 6172.
 1978 01 1961·
 1977 12  7364·
 1977 11  3957·
 1977 10  7970.
 1977 09  7567·
 1977 08  2888.
 1977 07  9049·
 1977 06  1246·
 1977 05  2054.
 1977 04  2067.
 1977 03  2065·
 1977 02  8562.
 1977 01  1379.
 1976 12 3661.
 1976 11 4680·
 1976 10 4870.
 1976 09 3493·
 1976 08 8975.
 1976 07 1481.
 1976 06 7652.
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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 25-34 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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