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 Series Title: Population Level: 16-17 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 931003.
 2012 03 88961·
 2012 02 79937·
 2012 01 92934·
 2011 12  81853.
 2011 11  97857.
 2011 10  99835.
 2011 09  70827.
 2011 08  79830·
 2011 07  49850.
 2011 06  63897·
 2011 05  90909.
 2011 04  37877·
 2011 03  24896.
 2011 02  85865.
 2011 01  97794·
 2010 12 32816.
 2010 11 29807.
 2010 10 2809.
 2010 09 60814.
 2010 08 63837·
 2010 07 97809·
 2010 06 77832·
 2010 05 72845.
 2010 04 55840·
 2010 03 84805·
 2010 02 99836·
 2010 01 53860·
 2009 12  59813.
 2009 11  71822.
 2009 10  80770·
 2009 09  47762.
 2009 08  51756.
 2009 07  65749·
 2009 06  58742.
 2009 05  24760·
 2009 04  31786.
 2009 03  97797·
 2009 02  96827.
 2009 01  77815·
 2008 12 24823.
 2008 11 26835·
 2008 10 81824·
 2008 09 26811·
 2008 08 80765·
 2008 07 31726·
 2008 06 28731·
 2008 05 14722.
 2008 04 76779.
 2008 03 19779·
 2008 02 72768·
 2008 01 11825·
 2007 12  11780.
 2007 11  23806·
 2007 10  79770·
 2007 09  11747.
 2007 08  10768·
 2007 07  99757·
 2007 06  34764·
 2007 05  33806.
 2007 04  25780·
 2007 03  28750·
 2007 02  52748.
 2007 01  21747·
 2006 12 30770.
 2006 11 18784.
 2006 10 70772·
 2006 09 45802.
 2006 08 27757·
 2006 07 99728.
 2006 06 51749·
 2006 05 98753·
 2006 04 39742·
 2006 03 29750.
 2006 02 83737.
 2006 01 0716·
 2005 12  19707·
 2005 11  89728·
 2005 10  79729·
 2005 09  95757.
 2005 08  40685.
 2005 07  86645.
 2005 06  76658·
 2005 05  52626.
 2005 04  4635.
 2005 03  51658·
 2005 02  38680.
 2005 01  64715·
 2004 12 36687.
 2004 11 41707.
 2004 10 52687.
 2004 09 52692·
 2004 08 86678·
 2004 07 38675.
 2004 06 32658·
 2004 05 60665·
 2004 04 30649·
 2004 03 48641·
 2004 02 15672·
 2004 01 56672.
 2003 12  68698.
 2003 11  3674.
 2003 10  65680·
 2003 09  34696.
 2003 08  26693·
 2003 07  60687.
 2003 06  68671.
 2003 05  14675.
 2003 04  53640.
 2003 03  0659·
 2003 02  38637·
 2003 01  41649.
 2002 12 25646·
 2002 11 30632·
 2002 10 13635·
 2002 09 82587·
 2002 08 44584·
 2002 07 81608.
 2002 06 56619.
 2002 05 32625.
 2002 04 33613.
 2002 03 11553·
 2002 02 54562·
 2002 01 11544·
 2001 12  43568.
 2001 11  0543.
 2001 10  21516·
 2001 09  63514·
 2001 08  51556·
 2001 07  56572·
 2001 06  94569·
 2001 05  56571.
 2001 04  55558.
 2001 03  9558·
 2001 02  36563.
 2001 01  84560·
 2000 12 83570·
 2000 11 18563·
 2000 10 36570.
 2000 09 68574.
 2000 08 83573·
 2000 07 63581·
 2000 06 6564·
 2000 05 51552·
 2000 04 31561·
 2000 03 51572·
 2000 02 83593·
 2000 01 2609.
 1999 12  29611·
 1999 11  13587.
 1999 10  31547·
 1999 09  15533.
 1999 08  0528·
 1999 07  7507.
 1999 06  39531.
 1999 05  10553.
 1999 04  96544·
 1999 03  14529.
 1999 02  17518.
 1999 01  30511·
 1998 12 92500.
 1998 11 40480.
 1998 10 6446.
 1998 09 45450·
 1998 08 88467.
 1998 07 17502·
 1998 06 66508·
 1998 05 49507·
 1998 04 10489.
 1998 03 3465·
 1998 02 87485·
 1998 01 61503·
 1997 12  8497.
 1997 11  77503·
 1997 10  81511.
 1997 09  25484.
 1997 08  58516.
 1997 07  48535.
 1997 06  86541·
 1997 05  11517·
 1997 04  59498.
 1997 03  47464.
 1997 02  66476.
 1997 01  12495.
 1996 12 38513·
 1996 11 30510·
 1996 10 6472·
 1996 09 47467·
 1996 08 45450·
 1996 07 79464.
 1996 06 22454·
 1996 05 62450.
 1996 04 54483.
 1996 03 1489.
 1996 02 51497.
 1996 01 24472·
 1995 12  67472.
 1995 11  27444·
 1995 10  54448.
 1995 09  28462·
 1995 08  9432·
 1995 07  14434·
 1995 06  22400.
 1995 05  93408·
 1995 04  30411·
 1995 03  44388.
 1995 02  65358.
 1995 01  64406·
 1994 12 5418·
 1994 11 23418.
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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: Population Level: 16-17 years, Hispanic or Latino 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

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

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