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 Series Title: Number Unemployed for 7-10 weeks 25-34 yrs. Female: NSA (Thousands)
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 2003 02  33122.
 2003 01  20129.
 2002 12 3146·
 2002 11 71120·
 2002 10 41119·
 2002 09 27113.
 2002 08 48150·
 2002 07 53130·
 2002 06 71105·
 2002 05 88114.
 2002 04 51145·
 2002 03 90126.
 2002 02 74140.
 2002 01 86166.
 2001 12  24170.
 2001 11  26132.
 2001 10  26121·
 2001 09  27120·
 2001 08  4126.
 2001 07  30116·
 2001 06  27122.
 2001 05  43107.
 2001 04  5687·
 2001 03  96129.
 2001 02  1117.
 2001 01  90104·
 2000 12 66105·
 2000 11 44100·
 2000 10 094.
 2000 09 5065.
 2000 08 48163.
 2000 07 18107·
 2000 06 9946.
 2000 05 29102·
 2000 04 39107·
 2000 03 86107·
 2000 02 9983·
 2000 01 60115·
 1999 12  379·
 1999 11  4396.
 1999 10  2497.
 1999 09  9895·
 1999 08  27115·
 1999 07  8131.
 1999 06  2563·
 1999 05  2684·
 1999 04  2472.
 1999 03  25127.
 1999 02  78102·
 1999 01  50112.
 1998 12 3371·
 1998 11 6494·
 1998 10 8289.
 1998 09 2170·
 1998 08 15121.
 1998 07 18128.
 1998 06 6497.
 1998 05 38111.
 1998 04 59118.
 1998 03 7140·
 1998 02 7492.
 1998 01 40108·
 1997 12  78110·
 1997 11  74122·
 1997 10  86110·
 1997 09  15123.
 1997 08  9142·
 1997 07  90131·
 1997 06  2118.
 1997 05  95108·
 1997 04  16146·
 1997 03  47139.
 1997 02  47149·
 1997 01  35146.
 1996 12 87144.
 1996 11 66144·
 1996 10 71115·
 1996 09 18149·
 1996 08 33110·
 1996 07 89169·
 1996 06 5062.
 1996 05 50100·
 1996 04 94111.
 1996 03 88139.
 1996 02 84178.
 1996 01 63136.
 1995 12  32136·
 1995 11  55156·
 1995 10  98114.
 1995 09  13119·
 1995 08  35122.
 1995 07  9174·
 1995 06  43114.
 1995 05  8397.
 1995 04  16173.
 1995 03  96141.
 1995 02  94137·
 1995 01  78142·
 1994 12 12112.
 1994 11 83147.
 1994 10 52145.
 1994 09 31178·
 1994 08 88138·
 1994 07 66116.
 1994 06 4188·
 1994 05 98115.
 1994 04 29130·
 1994 03 63165.
 1994 02 13151·
 1994 01 61172.
 1993 12  51146·
 1993 11  18166·
 1993 10  43151.
 1993 09  26185.
 1993 08  89167.
 1993 07  1142.
 1993 06  31148.
 1993 05  26101·
 1993 04  8137·
 1993 03  5133.
 1993 02  2138.
 1993 01  15151.
 1992 12 94143.
 1992 11 51162.
 1992 10 8160.
 1992 09 77150·
 1992 08 62170·
 1992 07 81151·
 1992 06 22144.
 1992 05 18126·
 1992 04 49143.
 1992 03 66150·
 1992 02 47181.
 1992 01 70172.
 1991 12  17126.
 1991 11  99160·
 1991 10  6170·
 1991 09  89142.
 1991 08  55185·
 1991 07  99163·
 1991 06  51179.
 1991 05  57141.
 1991 04  76150.
 1991 03  11176·
 1991 02  57164.
 1991 01  80146.
 1990 12 17157.
 1990 11 3164·
 1990 10 24155·
 1990 09 90141·
 1990 08 41123.
 1990 07 71132·
 1990 06 78102·
 1990 05 44130·
 1990 04 37101·
 1990 03 32149.
 1990 02 68169.
 1990 01 24132·
 1989 12  1797.
 1989 11  31147·
 1989 10  72135.
 1989 09  36123·
 1989 08  18141.
 1989 07  38153.
 1989 06  88111·
 1989 05  11110.
 1989 04  5149.
 1989 03  46126.
 1989 02  42138·
 1989 01  6110·
 1988 12 64107.
 1988 11 75114·
 1988 10 85137·
 1988 09 499.
 1988 08 9136.
 1988 07 68141·
 1988 06 91114.
 1988 05 10133.
 1988 04 78117·
 1988 03 95106·
 1988 02 63165.
 1988 01 57102·
 1987 12  33149.
 1987 11  50117.
 1987 10  23149·
 1987 09  0128·
 1987 08  63169.
 1987 07  52165·
 1987 06  25103.
 1987 05  2297·
 1987 04  79106·
 1987 03  46154·
 1987 02  41178.
 1987 01  29154·
 1986 12 21129.
 1986 11 0192·
 1986 10 74183·
 1986 09 53180·
 1986 08 51182·
 1986 07 8154·
 1986 06 48152·
 1986 05 51161·
 1986 04 57140·
 1986 03 90172.
 1986 02 14183.
 1986 01 4113·
 1985 12  51151·
 1985 11  90162.
 1985 10  46157.
 1985 09  18155.
 1985 08  72220.
 1985 07  77157·
 1985 06  47129.
 1985 05  26148·
 1985 04  83136·
 1985 03  44147.
 1985 02  40154.
 1985 01  83131·
 1984 12 71147.
 1984 11 12136·
 1984 10 77150.
 1984 09 73141·
 1984 08 50127·
 1984 07 25106·
 1984 06 32116·
 1984 05 0104·
 1984 04 57131·
 1984 03 51189·
 1984 02 6161.
 1984 01 98150.
 1983 12  55155·
 1983 11  84167.
 1983 10  25142·
 1983 09  22137.
 1983 08  32192.
 1983 07  45153.
 1983 06  38126·
 1983 05  5594.
 1983 04  1127·
 1983 03  76139·
 1983 02  22201·
 1983 01  2146.
 1982 12 0179·
 1982 11 47207·
 1982 10 77220·
 1982 09 96181·
 1982 08 91200·
 1982 07 53221.
 1982 06 27168·
 1982 05 93154.
 1982 04 64157.
 1982 03 12129.
 1982 02 24140·
 1982 01 75149.
 1981 12  29143.
 1981 11  68139.
 1981 10  43162·
 1981 09  48110·
 1981 08  26191.
 1981 07  91131.
 1981 06  8493.
 1981 05  45124·
 1981 04  17115.
 1981 03  75141·
 1981 02  72148·
 1981 01  21114.
 1980 12 91115.
 1980 11 39118·
 1980 10 59143.
 1980 09 58120·
 1980 08 59151·
 1980 07 27151.
 1980 06 19143·
 1980 05 6497·
 1980 04 6180·
 1980 03 8108·
 1980 02 53120·
 1980 01 6988·
 1979 12  58123.
 1979 11  76132.
 1979 10  85106.
 1979 09  30107.
 1979 08  39133·
 1979 07  51125.
 1979 06  6890.
 1979 05  2997.
 1979 04  1695·
 1979 03  76130·
 1979 02  75128.
 1979 01  73112·
 1978 12 28107·
 1978 11 21103.
 1978 10 8103·
 1978 09 9368.
 1978 08 38149.
 1978 07 8187·
 1978 06 9192.
 1978 05 4673·
 1978 04 3367·
 1978 03 7389·
 1978 02 7597·
 1978 01 1383·
 1977 12  26108.
 1977 11  42129.
 1977 10  36110·
 1977 09  2102·
 1977 08  55128·
 1977 07  58118·
 1977 06  7497.
 1977 05  4381.
 1977 04  8390.
 1977 03  14133.
 1977 02  14130·
 1977 01  94123·
 1976 12 97132.
 1976 11 29124·
 1976 10 7107·
 1976 09 36101.
 1976 08 12142.
 1976 07 49120·
 1976 06 2887·
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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 25-34 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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