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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, Hispanic or Latino: NSA
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 2000 02 593·
 2000 05 264·
 2000 06 934·
 2000 08 941.
 2001 04  881·
 2001 05  34
 2001 06  941·
 2001 07  61
 2001 08  84·
 2002 03 65
 2002 04 213·
 2002 05 523·
 2003 04  701.
 2004 06 14.
 2004 07 873·
 2004 08 103·
 2005 03  491.
 2006 01 492.
 2007 09  293.
 2008 01 63.
 2008 06 453.
 2009 02  402·
 2009 03  113·
 2009 06  320·
 2009 07  840.
 2009 08  310·
 2009 09  200.
 2009 10  9
 2009 11  170·
 2009 12  40.
 2010 01 700.
 2010 02 800·
 2010 03 180·
 2010 04 660.
 2010 05 980·
 2010 06 140.
 2010 07 890·
 2010 08 470·
 2010 09 670.
 2010 10 6
 2010 11 540.
 2010 12 50.
 2011 01  650·
 2011 02  750.
 2011 03  630.
 2011 04  210.
 2011 05  50·
 2011 06  658.
 2011 07  930.
 2011 08  20·
 2011 09  250·
 2011 10  450·
 2011 11  44
 2011 12  790.
 2012 01 880·
 2012 02 97·
 2012 03 417.
 2012 04 107.
 2012 05 810.
 2012 06 77
 2012 07 340·
 2012 08 760.
 2012 09 180·
 2012 10 920·
 2012 11 980.
 2012 12 820.
 2013 01  360·
 2013 02  240.
 2013 03  353.
 2013 04  623.
 2013 05  983.
 2013 06  660.
 2013 07  700.
 2013 08  720.
 2013 09  930·
 2013 10  380.
 2013 11  530.
 2013 12  930.
 2014 01 320.
 2014 02 850·
 2014 03 590·
 2014 04 320·
 2014 05 550·
 2014 06 740·
 2014 07 880.
 2014 08 210·
 2014 09 230·
 2014 10 10.
 2014 11 670.
 2014 12 160·
 2015 01  250.
 2015 02  850.
 2015 03  460·
 2015 04  990.
 2015 05  740·
 2015 06  69
 2015 07  990.
 2015 08  760·
 2015 09  70·
 2015 10  220·
 2015 11  280·
 2015 12  80
 2016 01 875.
 2016 02 404.
 2016 03 574·
 2016 04 66
 2016 05 30.
 2016 06 41


 2016 07 38
 2016 08 170.
 2016 09 670·
 2016 10 690.
 2016 11 450.
 2016 12 390.
 2017 01  170·
 2017 02  930.
 2017 03  790·
 2017 04  640.
 2017 05  160.
 2017 06  70·
 2017 07  650.
 2017 08  480·
 2017 09  520.
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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

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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: Agriculture and Related Industries, 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

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

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