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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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 1976 06 9187·
 1976 07 36120.
 1976 08 34142·
 1976 09 73101·
 1976 10 69107·
 1976 11 39124.
 1976 12 99132.
 1977 01  0123·
 1977 02  70130·
 1977 03  96133.
 1977 04  2290.
 1977 05  8281·
 1977 06  4497.
 1977 07  89118.
 1977 08  16128.
 1977 09  63102.
 1977 10  66110·
 1977 11  25129·
 1977 12  17108·
 1978 01 1383.
 1978 02 3697·
 1978 03 3689·
 1978 04 8867·
 1978 05 2473.
 1978 06 8192·
 1978 07 7887·
 1978 08 19149.
 1978 09 1868.
 1978 10 51103·
 1978 11 33103·
 1978 12 21107.
 1979 01  36112·
 1979 02  20128·
 1979 03  8130·
 1979 04  3395.
 1979 05  5097·
 1979 06  9090.
 1979 07  34125·
 1979 08  17133·
 1979 09  52107.
 1979 10  85106·
 1979 11  68132·
 1979 12  61123·
 1980 01 6388·
 1980 02 57120·
 1980 03 91108.
 1980 04 7980·
 1980 05 2597.
 1980 06 80143·
 1980 07 10151·
 1980 08 7151.
 1980 09 9120.
 1980 10 55143·
 1980 11 57118·
 1980 12 10115·
 1981 01  9114.
 1981 02  7148·
 1981 03  89141.
 1981 04  74115.
 1981 05  43124.
 1981 06  8793.
 1981 07  86131.
 1981 08  13191·
 1981 09  56110·
 1981 10  70162.
 1981 11  57139.
 1981 12  65143·
 1982 01 16149.
 1982 02 56140·
 1982 03 31129.
 1982 04 93157.
 1982 05 19154·
 1982 06 71168.
 1982 07 67221.
 1982 08 83200.
 1982 09 83181.
 1982 10 66220·
 1982 11 45207·
 1982 12 50179.
 1983 01  52146·
 1983 02  15201.
 1983 03  72139·
 1983 04  31127.
 1983 05  9694.
 1983 06  19126.
 1983 07  81153·
 1983 08  90192·
 1983 09  8137·
 1983 10  3142·
 1983 11  27167.
 1983 12  13155.
 1984 01 8150.
 1984 02 18161.
 1984 03 92189·
 1984 04 14131·
 1984 05 39104·
 1984 06 40116.
 1984 07 82106·
 1984 08 31127.
 1984 09 72141·
 1984 10 68150·
 1984 11 31136·
 1984 12 26147·
 1985 01  0131.
 1985 02  28154.
 1985 03  93147·
 1985 04  88136·
 1985 05  42148.
 1985 06  70129·
 1985 07  51157·
 1985 08  30220.
 1985 09  43155.
 1985 10  70157.
 1985 11  12162·
 1985 12  89151·
 1986 01 71113·
 1986 02 28183·
 1986 03 6172.
 1986 04 28140·
 1986 05 21161.
 1986 06 70152·
 1986 07 91154·
 1986 08 35182·
 1986 09 12180.
 1986 10 46183.
 1986 11 49192.
 1986 12 23129.
 1987 01  88154.
 1987 02  31178.
 1987 03  85154.
 1987 04  30106·
 1987 05  1797·
 1987 06  25103.
 1987 07  32165·
 1987 08  18169.
 1987 09  96128.
 1987 10  55149.
 1987 11  46117.
 1987 12  77149·
 1988 01 41102·
 1988 02 70165·
 1988 03 9106·
 1988 04 18117·
 1988 05 98133.
 1988 06 46114.
 1988 07 28141·
 1988 08 79136.
 1988 09 3699·
 1988 10 84137·
 1988 11 33114.
 1988 12 24107.
 1989 01  49110.
 1989 02  8138.
 1989 03  83126.
 1989 04  40149.
 1989 05  55110.
 1989 06  69111·
 1989 07  58153.
 1989 08  40141·
 1989 09  0123.
 1989 10  42135·
 1989 11  64147·
 1989 12  6297·
 1990 01 52132.
 1990 02 29169·
 1990 03 35149·
 1990 04 69101.
 1990 05 6130·
 1990 06 53102.
 1990 07 26132.
 1990 08 48123·
 1990 09 79141·
 1990 10 66155.
 1990 11 19164.
 1990 12 14157.
 1991 01  18146.
 1991 02  43164·
 1991 03  21176.
 1991 04  3150·
 1991 05  91141·
 1991 06  85179.
 1991 07  62163.
 1991 08  78185·
 1991 09  91142·
 1991 10  16170·
 1991 11  1160·
 1991 12  28126·
 1992 01 38172·
 1992 02 88181·
 1992 03 18150.
 1992 04 65143.
 1992 05 77126·
 1992 06 75144·
 1992 07 21151·
 1992 08 27170.
 1992 09 76150.
 1992 10 77160·
 1992 11 40162·
 1992 12 77143.
 1993 01  30151.
 1993 02  22138.
 1993 03  33133.
 1993 04  3137·
 1993 05  57101·
 1993 06  58148·
 1993 07  81142·
 1993 08  18167.
 1993 09  2185.
 1993 10  61151·
 1993 11  91166.
 1993 12  59146.
 1994 01 34172.
 1994 02 32151·
 1994 03 94165·
 1994 04 91130.
 1994 05 48115.
 1994 06 9588.
 1994 07 47116·
 1994 08 99138.
 1994 09 61178·
 1994 10 2145·
 1994 11 31147·
 1994 12 98112·
 1995 01  19142.
 1995 02  28137.
 1995 03  54141·
 1995 04  25173·
 1995 05  9097·
 1995 06  72114.
 1995 07  47174.
 1995 08  44122.
 1995 09  69119.
 1995 10  61114·
 1995 11  67156.
 1995 12  41136·
 1996 01 75136·
 1996 02 45178.
 1996 03 95139.
 1996 04 30111·
 1996 05 51100·
 1996 06 9962.
 1996 07 37169.
 1996 08 50110.
 1996 09 68149.
 1996 10 24115·
 1996 11 27144·
 1996 12 61144.
 1997 01  19146·
 1997 02  45149·
 1997 03  19139.
 1997 04  54146.
 1997 05  23108.
 1997 06  12118.
 1997 07  96131.
 1997 08  40142.
 1997 09  25123.
 1997 10  1110.
 1997 11  65122·
 1997 12  57110.
 1998 01 93108·
 1998 02 1292·
 1998 03 56140·
 1998 04 69118·
 1998 05 22111.
 1998 06 7197.
 1998 07 28128.
 1998 08 62121·
 1998 09 31170.
 1998 10 2889.
 1998 11 6194·
 1998 12 5171.
 1999 01  64112.
 1999 02  58102·
 1999 03  61127.
 1999 04  7372.
 1999 05  9184.
 1999 06  6263·
 1999 07  62131·
 1999 08  90115·
 1999 09  495.
 1999 10  6597.
 1999 11  1896.
 1999 12  9279·
 2000 01 24115·
 2000 02 1883.
 2000 03 13107·
 2000 04 89107·
 2000 05 95102·
 2000 06 9646.
 2000 07 52107·
 2000 08 22163.
 2000 09 8665·
 2000 10 9994·
 2000 11 67100·
 2000 12 52105·
 2001 01  90104·
 2001 02  52117·
 2001 03  16129.
 2001 04  6787·
 2001 05  27107·
 2001 06  7122·
 2001 07  78116·
 2001 08  80126.
 2001 09  42120.
 2001 10  38121.
 2001 11  62132.


 2001 12  29170.
 2002 01 3166.
 2002 02 46140·
 2002 03 99126.
 2002 04 77145·
 2002 05 4114.
 2002 06 57105.
 2002 07 45130.
 2002 08 13150.
 2002 09 65113.
 2002 10 20119·
 2002 11 82120.
 2002 12 47146.
 2003 01  30129·
 2003 02  11122.

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
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