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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, Asian: NSA
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 2000 01 6717.
 2000 02 9810.
 2000 03 7815.
 2000 04 1515.
 2000 05 436·
 2000 08 9714·
 2000 09 146.
 2000 10 6125.
 2000 11 8626·
 2000 12 9518·
 2001 01  522.
 2001 02  620.
 2001 03  466.
 2001 04  736.
 2001 05  36.
 2001 06  94
 2001 07  983·
 2001 08  383·
 2001 09  68.
 2001 10  948.
 2001 11  4311.
 2001 12  2115.
 2002 01 235·
 2002 02 996.
 2002 03 54·
 2002 04 795·
 2002 05 435.
 2002 06 3014·
 2002 07 364·
 2002 08 941.
 2002 09 784·
 2002 10 316·
 2002 11 105·
 2002 12 725.
 2003 01  67
 2003 02  695.
 2003 03  2916.
 2003 04  4511·
 2003 05  7119·
 2003 06  4119.
 2003 07  1622·
 2003 08  7020.
 2003 09  8020·
 2003 10  6416·
 2003 11  243·
 2003 12  271.
 2004 01 618·
 2004 02 8310.
 2004 03 2712.
 2004 04 256.
 2004 05 864.
 2004 06 68
 2004 07 2611·
 2004 08 9513.
 2004 09 845·
 2004 10 116.
 2004 11 4613.
 2004 12 9219·
 2005 01  8823.
 2005 02  3315·
 2005 03  3716.
 2005 04  9914.
 2005 05  1011.
 2005 06  778·
 2005 07  7413·
 2005 08  2323·
 2005 09  895.
 2005 10  137·
 2005 11  608·
 2005 12  957·
 2006 01 876.
 2006 02 3511.
 2006 03 177.
 2006 04 7119·
 2006 05 9220·
 2006 06 6117.
 2006 07 9825·
 2006 08 3414·
 2006 09 1713·
 2006 10 3714·
 2006 11 7716·
 2006 12 9021·
 2007 01  024.
 2007 02  3122·
 2007 03  5522·
 2007 04  7017·
 2007 05  413.
 2007 06  3721.
 2007 07  5713.
 2007 08  3211.
 2007 09  1725·
 2007 10  7539·
 2007 11  3335.
 2007 12  5731.
 2008 01 5123·
 2008 02 8815·
 2008 03 6011·
 2008 04 518.
 2008 05 4415.
 2008 06 4613.
 2008 07 366.
 2008 08 469.
 2008 09 616.
 2008 10 439.
 2008 11 899·
 2008 12 011·
 2009 01  876·
 2009 02  983·
 2009 03  678.
 2009 04  927.
 2009 05  373.
 2009 06  55
 2009 07  470.
 2009 08  314.
 2009 09  4710·
 2009 10  8417.
 2009 11  2910·
 2009 12  4813·
 2010 01 8210.
 2010 02 789·
 2010 03 3814·
 2010 04 9927·
 2010 05 2819.
 2010 06 5624·
 2010 07 2523·
 2010 08 665·
 2010 09 999.
 2010 10 6423·
 2010 11 6520.
 2010 12 5618.
 2011 01  3316·
 2011 02  6926·
 2011 03  5927.
 2011 04  015.
 2011 05  929·
 2011 06  6612.
 2011 07  3112.
 2011 08  5512.
 2011 09  659.
 2011 10  747.
 2011 11  3210·
 2011 12  322·
 2012 01 6427.
 2012 02 3821·
 2012 03 3820·
 2012 04 5018.
 2012 05 2710.
 2012 06 269·
 2012 07 495·
 2012 08 274.
 2012 09 186·
 2012 10 337.
 2012 11 9114·
 2012 12 9315.
 2013 01  2315.
 2013 02  7712·
 2013 03  1311.
 2013 04  277·
 2013 05  56
 2013 06  414.
 2013 07  920.
 2013 08  3810·
 2013 09  550.
 2013 10  814.
 2013 11  270.
 2013 12  55
 2014 01 834·
 2014 02 34.
 2014 03 446.
 2014 04 3724.
 2014 05 2724·
 2014 06 9021·
 2014 07 9327·
 2014 08 6514.
 2014 09 09·
 2014 10 857.
 2014 11 506·
 2014 12 45
 2015 01  418·
 2015 02  581·
 2015 03  1513.
 2015 04  917·
 2015 05  127·
 2015 06  216·
 2015 07  1413·
 2015 08  141·
 2015 09  111.
 2015 10  384·
 2015 11  9710.
 2015 12  4112.
 2016 01 218.
 2016 02 84.
 2016 03 390·
 2016 04 960·
 2016 05 105·
 2016 06 82


 2016 07 4113.
 2016 08 138.
 2016 09 313.
 2016 10 554·
 2016 11 275·
 2016 12 473.
 2017 01  717·
 2017 02  456.
 2017 03  507.
 2017 04  793.
 2017 05  441·
 2017 06  974.
 2017 07  830·
 2017 08  170·
 2017 09  88
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Similar Series

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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, Asian: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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    Multiple Series:  |  Charting  |  Excel File / Copy & Paste Format
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