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 Series Title: Unemployment Level Family head Female: SA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2002 12 49814·
 2002 11 66771.
 2002 10 9743·
 2002 09 42657.
 2002 08 56672.
 2002 07 41792.
 2002 06 91773.
 2002 05 30744·
 2002 04 61787·
 2002 03 46666·
 2002 02 6735·
 2002 01 48722.
 2001 12  14731.
 2001 11  63736.
 2001 10  66616.
 2001 09  39636·
 2001 08  90607·
 2001 07  97589.
 2001 06  9580.
 2001 05  74554.
 2001 04  90548.
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 2001 02  98537.
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 1986 08 71659.
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 1986 02 93632·
 1986 01 29624.
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 1985 03  45636.
 1985 02  6674.
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 1984 12 60604.
 1984 11 46660.
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 1984 08 46618.
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 1984 05 93611.
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 1983 03  59774·
 1983 02  22751.
 1983 01  18775·
 1982 12 65784.
 1982 11 0727·
 1982 10 83651.
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 1982 08 19696·
 1982 07 62720.
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 1982 05 31671.
 1982 04 44651.
 1982 03 3607.
 1982 02 95598.
 1982 01 71594.
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 1981 11  3620·
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 1978 08 95410.
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 1978 05 79449.
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 1978 02 60371·
 1978 01 52392.
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 1977 11  11437·
 1977 10  40432.
 1977 09  77483·
 1977 08  72447·
 1977 07  93409·
 1977 06  31421·
 1977 05  24392·
 1977 04  10409.
 1977 03  3423·
 1977 02  96413·
 1977 01  86417.
 1976 12 24452·
 1976 11 97424·
 1976 10 23454·
 1976 09 82449.
 1976 08 67448·
 1976 07 57429.
 1976 06 25404·
 1976 05 57383·
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 1976 02 39429·
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 1975 11  27407·
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 1975 05  72421·
 1975 04  95375·
 1975 03  66390·
 1975 02  11380·
 1975 01  4351.
 1974 12 7325.
 1974 11 55330.
 1974 10 55277·
 1974 09 10285·
 1974 08 74252.
 1974 07 26241·
 1974 06 76255.
 1974 05 84268·
 1974 04 20248·
 1974 03 35238.
 1974 02 62234.
 1974 01 47242.
 1973 12  98255·
 1973 11  62291.
 1973 10  25252.
 1973 09  41241·
 1973 08  82229.
 1973 07  15245·
 1973 06  4279.
 1973 05  36231·
 1973 04  73247·
 1973 03  26247·
 1973 02  62230·
 1973 01  27243·
 1972 12 95216·
 1972 11 51226·
 1972 10 87293.
 1972 09 32255·
 1972 08 0251·
 1972 07 72252·
 1972 06 91264·
 1972 05 95238·
 1972 04 63239.
 1972 03 95231·
 1972 02 12227·
 1972 01 85236·
 1971 12  83281.
 1971 11  52240.
 1971 10  14233.
 1971 09  98249.
 1971 08  87238.
 1971 07  99232·
 1971 06  83232.
 1971 05  51251·
 1971 04  26227·
 1971 03  19220·
 1971 02  34231.
 1971 01  89200.
 1970 12 73191·
 1970 11 18196·
 1970 10 3198.
 1970 09 82164·
 1970 08 30179·
 1970 07 27175.
 1970 06 55142·
 1970 05 22145·
 1970 04 22110·
 1970 03 4158·
 1970 02 75137.
 1970 01 30133.
 1969 12  0134.
 1969 11  30128·
 1969 10  79127.
 1969 09  50134·
 1969 08  39142.
 1969 07  11125·
 1969 06  3134·
 1969 05  50124·
 1969 04  39146·
 1969 03  79119·
 1969 02  10117.
 1969 01  25131.
 1968 12 25122.
 1968 11 91121.
 1968 10 88110.
 1968 09 95116·
 1968 08 49109.
 1968 07 28117·
 1968 06 51145·
 1968 05 2108.
 1968 04 85131.
 1968 03 97141.
 1968 02 35135.
 1968 01 16128.
 1967 12  33132·
 1967 11  31134·
 1967 10  5171·
 1967 09  32137·
 1967 08  20128.
 1967 07  84140.
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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: Unemployment Level Family head Female: SA (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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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