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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, Hispanic or Latino: NSA
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 2000 01 1019.
 2000 02 9213·
 2000 03 1511·
 2000 04 3120·
 2000 05 1720.
 2000 06 5219·
 2000 07 1624·
 2000 08 2229·
 2000 09 5913.
 2000 10 7821·
 2000 11 8715.
 2000 12 807.
 2001 01  877.
 2001 02  544.
 2001 03  417·
 2001 04  4911.
 2001 05  7518.
 2001 06  8531·
 2001 07  1416·
 2001 08  027.
 2001 09  2512.
 2001 10  35.
 2001 11  724·
 2001 12  255.
 2002 01 62
 2002 02 657·
 2002 03 08.
 2002 04 446·
 2002 06 353·
 2002 07 5210.
 2002 08 135.
 2002 09 17·
 2002 10 2115.
 2002 11 7218.
 2002 12 4711.
 2003 01  660.
 2003 02  2019.
 2003 03  5518.
 2003 04  6613.
 2003 05  3217.
 2003 06  5713.
 2003 07  5810.
 2003 08  5915.
 2003 09  1815.
 2003 10  8314.
 2003 11  6416·
 2003 12  3738.
 2004 01 6921.
 2004 02 7245·
 2004 03 7829.
 2004 04 3810.
 2004 05 548.
 2004 06 2613.
 2004 07 3216.
 2004 08 2630·
 2004 09 6722·
 2004 10 7013.
 2004 11 8310·
 2004 12 883·
 2005 02  273.
 2005 03  549·
 2005 04  138.
 2005 05  38
 2005 06  78
 2005 07  5412.
 2005 08  288.
 2005 09  1221.
 2005 10  9018.
 2005 11  6920.
 2005 12  605.
 2006 01 754·
 2006 02 564·
 2006 03 269.
 2006 04 6514.
 2006 05 1313·
 2006 06 9610·
 2006 07 745.
 2006 08 2611.
 2006 09 4111.
 2006 10 5321·
 2006 11 9024·
 2006 12 4815.
 2007 01  9521·
 2007 02  9813.
 2007 03  7318.
 2007 04  6312·
 2007 05  3812.
 2007 06  2428.
 2007 07  4924·
 2007 08  2918.
 2007 09  6019·
 2007 10  4910.
 2007 11  69
 2007 12  2611·
 2008 01 718.
 2008 02 208·
 2008 03 722·
 2008 04 6228·
 2008 05 1120·
 2008 06 332·
 2008 07 6429·
 2008 08 6714·
 2008 09 4220·
 2008 10 9516·
 2008 11 6516·
 2008 12 9914.
 2009 01  5112.
 2009 02  1310·
 2009 03  627·
 2009 04  395·
 2009 05  5310·
 2009 06  214·
 2009 07  2820·
 2009 08  9513.
 2009 09  8514·
 2009 10  3116·
 2009 11  6613·
 2009 12  9619·
 2010 01 912.
 2010 02 9512.
 2010 03 9910.
 2010 04 110.
 2010 05 1413·
 2010 06 1113.
 2010 07 79
 2010 08 914.
 2010 09 136·
 2010 10 2611.
 2010 11 8021.
 2010 12 7216.
 2011 01  4219·
 2011 02  613·
 2011 03  416.
 2011 04  7627·
 2011 05  6611.
 2011 06  4811.
 2011 07  757.
 2011 08  607.
 2011 09  738.
 2011 10  707·
 2011 11  457·
 2011 12  511.
 2012 01 7417·
 2012 02 1511·
 2012 03 87
 2012 04 193.
 2012 05 812·
 2012 06 54
 2012 07 46·
 2012 08 3114·
 2012 09 3810.
 2012 10 800.
 2012 11 203·
 2012 12 118·
 2013 01  529·
 2013 02  137.
 2013 03  8521.
 2013 04  811·
 2013 05  6211.
 2013 06  967·
 2013 07  759·
 2013 08  5911.
 2013 09  710.
 2013 10  998·
 2013 11  905.
 2013 12  878·
 2014 01 493.
 2014 02 163.
 2014 03 56
 2014 04 488·
 2014 05 7713.
 2014 06 6613·
 2014 07 237.
 2014 08 233.
 2014 09 30.
 2014 10 937·
 2014 11 673·
 2014 12 1912.
 2015 01  655.
 2015 02  6614·
 2015 03  884·
 2015 04  6817.
 2015 05  2514.
 2015 06  8010.
 2015 07  1124·
 2015 08  277·
 2015 09  738.
 2015 10  547.
 2015 11  8624·
 2015 12  7612.
 2016 01 205·
 2016 02 3124.
 2016 03 9018.
 2016 04 2415·
 2016 05 517·
 2016 06 810·
 2016 07 2213.
 2016 08 06.
 2016 09 919.


 2016 10 986.
 2016 11 87.
 2016 12 6315·
 2017 01  656·
 2017 02  1
 2017 03  9811·
 2017 04  9323.
 2017 05  4024.
 2017 06  3510·
 2017 07  6811·
 2017 08  9710·
 2017 09  549·
 2017 10  6810.
 2017 11  173·
 2017 12  713.
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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: Employment Level: Nonagriculture, Unpaid Family Workers, Hispanic or Latino: 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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