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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 55-64 years, Women: NSA
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 2012 04 4388.
 2012 03 6082.
 2012 02 8980.
 2012 01 182·
 2011 12  9388·
 2011 11  6097·
 2011 10  5112.
 2011 09  55120.
 2011 08  21120.
 2011 07  72126·
 2011 06  34120·
 2011 05  19123·
 2011 04  7992·
 2011 03  7678.
 2011 02  8998·
 2011 01  3975.
 2010 12 4195.
 2010 11 7997·
 2010 10 891.
 2010 09 8497.
 2010 08 9102.
 2010 07 13120.
 2010 06 55117·
 2010 05 47114.
 2010 04 6107.
 2010 03 3590.
 2010 02 1685.
 2010 01 47109.
 2009 12  85102.
 2009 11  25140·
 2009 10  6108.
 2009 09  30118·
 2009 08  20100·
 2009 07  92113.
 2009 06  61101.
 2009 05  63109·
 2009 04  11106.
 2009 03  6677.
 2009 02  45104·
 2009 01  4292.
 2008 12 84111·
 2008 11 4135.
 2008 10 45111·
 2008 09 85118·
 2008 08 90106.
 2008 07 88125.
 2008 06 75115.
 2008 05 3693·
 2008 04 3117.
 2008 03 24100·
 2008 02 7285.
 2008 01 6599.
 2007 12  2490.
 2007 11  4597.
 2007 10  99111.
 2007 09  66118.
 2007 08  7994·
 2007 07  5104·
 2007 06  44120·
 2007 05  58105.
 2007 04  18112·
 2007 03  89121·
 2007 02  21111.
 2007 01  8486·
 2006 12 1792.
 2006 11 1103·
 2006 10 6686·
 2006 09 1598·
 2006 08 75123·
 2006 07 74127.
 2006 06 43100·
 2006 05 44104·
 2006 04 18104·
 2006 03 6391.
 2006 02 4099.
 2006 01 90110·
 2005 12  96103.
 2005 11  5298·
 2005 10  69110.
 2005 09  9889.
 2005 08  85108.
 2005 07  4780·
 2005 06  6962·
 2005 05  3763·
 2005 04  8685.
 2005 03  7887·
 2005 02  298.
 2005 01  0102.
 2004 12 2399.
 2004 11 3121·
 2004 10 56101·
 2004 09 8105·
 2004 08 48122·
 2004 07 498·
 2004 06 44104.
 2004 05 397.
 2004 04 34122·
 2004 03 87123·
 2004 02 4109·
 2004 01 56118·
 2003 12  8490·
 2003 11  8394·
 2003 10  0109.
 2003 09  60105.
 2003 08  22105.
 2003 07  5095·
 2003 06  1891.
 2003 05  3592.
 2003 04  98101.
 2003 03  68109.
 2003 02  71107·
 2003 01  24105·
 2002 12 89116·
 2002 11 46107·
 2002 10 98116·
 2002 09 9799·
 2002 08 9391.
 2002 07 1380·
 2002 06 6268·
 2002 05 4973·
 2002 04 3884·
 2002 03 2882.
 2002 02 5085.
 2002 01 9787.
 2001 12  7399·
 2001 11  7199.
 2001 10  75108.
 2001 09  8699·
 2001 08  7392·
 2001 07  49110·
 2001 06  7695.
 2001 05  8688·
 2001 04  3993·
 2001 03  9490·
 2001 02  1481.
 2001 01  9167.
 2000 12 9784·
 2000 11 6355·
 2000 10 7963.
 2000 09 1979.
 2000 08 9679·
 2000 07 3784.
 2000 06 8292.
 2000 05 15107·
 2000 04 13123.
 2000 03 22134·
 2000 02 62145·
 2000 01 48114.
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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, 55-64 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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