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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 35-44 years, Women: NSA
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 2012 04 40109·
 2012 03 15101.
 2012 02 21101·
 2012 01 6092·
 2011 12  61107.
 2011 11  5089·
 2011 10  60115.
 2011 09  52110·
 2011 08  66107·
 2011 07  3127·
 2011 06  20130·
 2011 05  61143.
 2011 04  7121.
 2011 03  54117·
 2011 02  1197·
 2011 01  3185.
 2010 12 5995.
 2010 11 1197.
 2010 10 7392·
 2010 09 3295.
 2010 08 2298·
 2010 07 593·
 2010 06 69116.
 2010 05 58102.
 2010 04 22129·
 2010 03 92158.
 2010 02 86158·
 2010 01 28130·
 2009 12  9105.
 2009 11  5696.
 2009 10  36113.
 2009 09  86132.
 2009 08  58154.
 2009 07  1172.
 2009 06  59153.
 2009 05  1144·
 2009 04  70162.
 2009 03  60171.
 2009 02  17153·
 2009 01  68145·
 2008 12 71167.
 2008 11 89162.
 2008 10 97157·
 2008 09 5169·
 2008 08 9144.
 2008 07 70143.
 2008 06 14167.
 2008 05 57162.
 2008 04 62164·
 2008 03 10171·
 2008 02 3196.
 2008 01 93196·
 2007 12  30171.
 2007 11  40128.
 2007 10  29147.
 2007 09  7154·
 2007 08  37152.
 2007 07  17157·
 2007 06  80146.
 2007 05  17155.
 2007 04  34168.
 2007 03  23179·
 2007 02  68186.
 2007 01  69164·
 2006 12 97138·
 2006 11 64138.
 2006 10 31141·
 2006 09 32169·
 2006 08 25168·
 2006 07 71128·
 2006 06 32131·
 2006 05 99125.
 2006 04 45111·
 2006 03 2109·
 2006 02 58114·
 2006 01 89139.
 2005 12  7142·
 2005 11  38170.
 2005 10  24189·
 2005 09  48194.
 2005 08  86184.
 2005 07  86152.
 2005 06  66161.
 2005 05  43156.
 2005 04  83166.
 2005 03  78152·
 2005 02  48127.
 2005 01  70129.
 2004 12 22169.
 2004 11 69165.
 2004 10 58151·
 2004 09 46190·
 2004 08 55174·
 2004 07 42151.
 2004 06 7172·
 2004 05 17134·
 2004 04 56124.
 2004 03 3122.
 2004 02 35115.
 2004 01 52126.
 2003 12  26117.
 2003 11  85134·
 2003 10  5111.
 2003 09  44120·
 2003 08  91157.
 2003 07  42174.
 2003 06  3168.
 2003 05  13144·
 2003 04  1148·
 2003 03  58158·
 2003 02  43128.
 2003 01  3150.
 2002 12 31139.
 2002 11 39150·
 2002 10 63164.
 2002 09 83190.
 2002 08 81171·
 2002 07 17185.
 2002 06 25173·
 2002 05 47136·
 2002 04 78164·
 2002 03 48188·
 2002 02 18181.
 2002 01 14171·
 2001 12  71189·
 2001 11  13176.
 2001 10  55164·
 2001 09  29133·
 2001 08  36145·
 2001 07  20155.
 2001 06  73132.
 2001 05  61107.
 2001 04  73117.
 2001 03  0146.
 2001 02  36124·
 2001 01  3136.
 2000 12 8121·
 2000 11 9127.
 2000 10 30155·
 2000 09 76142·
 2000 08 90140.
 2000 07 31139·
 2000 06 70159.
 2000 05 22150·
 2000 04 96145·
 2000 03 70152·
 2000 02 92150·
 2000 01 12147·
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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: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 35-44 years, Women: NSA
   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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