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 Series Title: Number Unemployed for 7-10 weeks 25-34 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to end of data set
 1976 06 5887·
 1976 07 7120·
 1976 08 80142·
 1976 09 54101·
 1976 10 31107.
 1976 11 14124·
 1976 12 10132.
 1977 01  55123·
 1977 02  64130.
 1977 03  13133·
 1977 04  3590·
 1977 05  4781.
 1977 06  897·
 1977 07  86118·
 1977 08  66128.
 1977 09  77102.
 1977 10  38110·
 1977 11  39129·
 1977 12  44108·
 1978 01 1283.
 1978 02 5397.
 1978 03 589·
 1978 04 3067.
 1978 05 4773·
 1978 06 8192·
 1978 07 3987.
 1978 08 12149.
 1978 09 168·
 1978 10 71103·
 1978 11 23103·
 1978 12 3107·
 1979 01  18112.
 1979 02  98128·
 1979 03  65130·
 1979 04  4195·
 1979 05  6797·
 1979 06  6290·
 1979 07  96125·
 1979 08  89133.
 1979 09  43107.
 1979 10  90106.
 1979 11  71132.
 1979 12  34123·
 1980 01 6488·
 1980 02 32120·
 1980 03 74108.
 1980 04 9180.
 1980 05 7597·
 1980 06 63143.
 1980 07 10151·
 1980 08 96151.
 1980 09 45120·
 1980 10 83143·
 1980 11 12118·
 1980 12 12115.
 1981 01  67114.
 1981 02  17148·
 1981 03  35141.
 1981 04  28115·
 1981 05  62124·
 1981 06  1793.
 1981 07  62131.
 1981 08  56191.
 1981 09  73110·
 1981 10  58162·
 1981 11  0139·
 1981 12  34143·
 1982 01 69149.
 1982 02 39140.
 1982 03 79129.
 1982 04 25157·
 1982 05 45154.
 1982 06 87168.
 1982 07 56221·
 1982 08 17200.
 1982 09 20181·
 1982 10 52220·
 1982 11 14207.
 1982 12 23179.
 1983 01  37146·
 1983 02  8201.
 1983 03  58139.
 1983 04  81127·
 1983 05  6794.
 1983 06  58126·
 1983 07  21153·
 1983 08  53192·
 1983 09  2137.
 1983 10  25142.
 1983 11  59167·
 1983 12  27155·
 1984 01 63150.
 1984 02 60161.
 1984 03 53189·
 1984 04 17131·
 1984 05 93104.
 1984 06 39116.
 1984 07 11106·
 1984 08 60127.
 1984 09 61141.
 1984 10 62150·
 1984 11 64136.
 1984 12 20147·
 1985 01  62131·
 1985 02  55154.
 1985 03  68147.
 1985 04  83136.
 1985 05  15148.
 1985 06  67129.
 1985 07  6157.
 1985 08  64220·
 1985 09  64155·
 1985 10  75157·
 1985 11  83162·
 1985 12  99151·
 1986 01 78113·
 1986 02 78183.
 1986 03 32172.
 1986 04 52140·
 1986 05 51161·
 1986 06 3152·
 1986 07 9154.
 1986 08 10182·
 1986 09 3180.
 1986 10 98183·
 1986 11 96192·
 1986 12 87129.
 1987 01  77154.
 1987 02  41178.
 1987 03  0154·
 1987 04  20106·
 1987 05  4297·
 1987 06  31103.
 1987 07  51165·
 1987 08  73169.
 1987 09  94128.
 1987 10  93149·
 1987 11  7117.
 1987 12  33149.
 1988 01 50102.
 1988 02 78165.
 1988 03 50106.
 1988 04 12117·
 1988 05 55133.
 1988 06 62114·
 1988 07 85141·
 1988 08 50136·
 1988 09 7999.
 1988 10 45137.
 1988 11 46114·
 1988 12 9107.
 1989 01  15110.
 1989 02  51138.
 1989 03  87126·
 1989 04  76149.
 1989 05  82110·
 1989 06  32111·
 1989 07  91153·
 1989 08  65141·
 1989 09  25123.
 1989 10  63135·
 1989 11  65147.
 1989 12  1397·
 1990 01 13132·
 1990 02 45169·
 1990 03 40149·
 1990 04 84101.
 1990 05 40130.
 1990 06 2102.
 1990 07 73132·
 1990 08 65123.
 1990 09 24141·
 1990 10 85155.
 1990 11 46164·
 1990 12 69157·
 1991 01  11146·
 1991 02  70164·
 1991 03  64176.
 1991 04  35150·
 1991 05  69141·
 1991 06  57179·
 1991 07  61163.
 1991 08  24185.
 1991 09  93142·
 1991 10  70170.
 1991 11  91160.
 1991 12  25126·
 1992 01 1172·
 1992 02 62181·
 1992 03 38150·
 1992 04 51143.
 1992 05 38126·
 1992 06 7144.
 1992 07 8151.
 1992 08 39170·
 1992 09 73150.
 1992 10 5160·
 1992 11 31162·
 1992 12 53143.
 1993 01  0151.
 1993 02  82138·
 1993 03  66133·
 1993 04  81137·
 1993 05  38101.
 1993 06  88148·
 1993 07  94142·
 1993 08  35167.
 1993 09  31185.
 1993 10  99151·
 1993 11  20166.
 1993 12  52146.
 1994 01 49172.
 1994 02 14151·
 1994 03 78165·
 1994 04 97130·
 1994 05 86115·
 1994 06 6088·
 1994 07 23116·
 1994 08 57138·
 1994 09 60178·
 1994 10 87145.
 1994 11 37147.
 1994 12 45112.
 1995 01  16142.
 1995 02  71137.
 1995 03  27141·
 1995 04  99173.
 1995 05  2397·
 1995 06  10114.
 1995 07  24174·
 1995 08  81122.
 1995 09  75119·
 1995 10  32114.
 1995 11  86156·
 1995 12  80136·
 1996 01 91136·
 1996 02 86178·
 1996 03 93139·
 1996 04 8111.
 1996 05 16100.
 1996 06 4862·
 1996 07 53169·
 1996 08 3110·
 1996 09 18149.
 1996 10 18115.
 1996 11 97144.
 1996 12 29144.
 1997 01  93146.
 1997 02  21149·
 1997 03  81139·
 1997 04  73146.
 1997 05  58108·
 1997 06  9118.
 1997 07  88131·
 1997 08  48142·
 1997 09  58123·
 1997 10  55110.
 1997 11  23122·
 1997 12  91110·
 1998 01 62108.
 1998 02 6292.
 1998 03 20140·
 1998 04 67118·
 1998 05 64111.
 1998 06 5397·
 1998 07 33128·
 1998 08 62121·
 1998 09 84170·
 1998 10 8089.
 1998 11 4594.
 1998 12 8971.
 1999 01  65112.
 1999 02  18102.
 1999 03  63127·
 1999 04  8872·
 1999 05  7784·
 1999 06  6763·
 1999 07  18131.
 1999 08  19115·
 1999 09  1495·
 1999 10  5397·
 1999 11  6696.
 1999 12  7279·
 2000 01 95115·
 2000 02 2583.
 2000 03 90107.
 2000 04 58107·
 2000 05 64102·
 2000 06 6146·
 2000 07 97107·
 2000 08 17163.
 2000 09 9065.
 2000 10 5994·
 2000 11 16100·
 2000 12 11105·
 2001 01  68104.
 2001 02  45117·
 2001 03  7129·
 2001 04  2787.
 2001 05  16107·
 2001 06  70122·
 2001 07  49116.
 2001 08  79126.
 2001 09  79120·
 2001 10  8121.
 2001 11  50132·


 2001 12  5170·
 2002 01 25166.
 2002 02 62140·
 2002 03 41126·
 2002 04 67145·
 2002 05 50114·
 2002 06 55105·
 2002 07 79130.
 2002 08 54150.
 2002 09 72113·
 2002 10 38119·
 2002 11 45120·
 2002 12 77146.
 2003 01  35129.
 2003 02  87122.

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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