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 Series Title: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, Mexican American: NSA
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 2000 01 57428.
 2000 02 64451.
 2000 03 72396.
 2000 04 9431·
 2000 05 27438·
 2000 06 80439.
 2000 07 24449·
 2000 08 45461.
 2000 09 8429.
 2000 10 39428·
 2000 11 21427.
 2000 12 23409.
 2001 01  50434·
 2001 02  22477·
 2001 03  76489·
 2001 04  87524.
 2001 05  27532·
 2001 06  36545.
 2001 07  26557.
 2001 08  7524·
 2001 09  41508·
 2001 10  11492.
 2001 11  34514·
 2001 12  78450·
 2002 01 16495·
 2002 02 6511.
 2002 03 89477.
 2002 04 17560.
 2002 05 3565·
 2002 06 1587.
 2002 07 3569.
 2002 08 69557·
 2002 09 78528.
 2002 10 2468.
 2002 11 13552.
 2002 12 3499·
 2003 01  40531.
 2003 02  43555.
 2003 03  84594·
 2003 04  14581·
 2003 05  16662.
 2003 06  79676·
 2003 07  2598·
 2003 08  20592·
 2003 09  55629·
 2003 10  92596.
 2003 11  81624·
 2003 12  66595.
 2004 01 33585·
 2004 02 88541.
 2004 03 59528·
 2004 04 21564.
 2004 05 51594.
 2004 06 0629·
 2004 07 98692·
 2004 08 79773·
 2004 09 33735.
 2004 10 84721.
 2004 11 86698·
 2004 12 59673.
 2005 01  31572.
 2005 02  21582·
 2005 03  37621·
 2005 04  5647.
 2005 05  19725.
 2005 06  18641·
 2005 07  88697.
 2005 08  87672·
 2005 09  98632.
 2005 10  8678.
 2005 11  2620.
 2005 12  98601.
 2006 01 94681.
 2006 02 45681.
 2006 03 66705·
 2006 04 58751·
 2006 05 56805·
 2006 06 13755.
 2006 07 95737.
 2006 08 10737·
 2006 09 60696·
 2006 10 18665·
 2006 11 25708.
 2006 12 25708·
 2007 01  7727·
 2007 02  91705·
 2007 03  20661.
 2007 04  95698·
 2007 05  22706·
 2007 06  88854·
 2007 07  67871.
 2007 08  41878·
 2007 09  55835·
 2007 10  93683·
 2007 11  80768·
 2007 12  6812·
 2008 01 82855·
 2008 02 11844·
 2008 03 96789·
 2008 04 60747.
 2008 05 2795·
 2008 06 74836·
 2008 07 78832.
 2008 08 96805.
 2008 09 43764·
 2008 10 38677·
 2008 11 14698·
 2008 12 34763.
 2009 01  53760·
 2009 02  86803.
 2009 03  17855.
 2009 04  18863·
 2009 05  8814·
 2009 06  24814.
 2009 07  25763.
 2009 08  17792.
 2009 09  9753·
 2009 10  83714.
 2009 11  0742.
 2009 12  26730·
 2010 01 81703.
 2010 02 20762·
 2010 03 31771.
 2010 04 62763·
 2010 05 74800.
 2010 06 17828·
 2010 07 31830.
 2010 08 71847·
 2010 09 65808.
 2010 10 81818·
 2010 11 37791.
 2010 12 22661·
 2011 01  52709.
 2011 02  42661.
 2011 03  12597·
 2011 04  9695.
 2011 05  62684.
 2011 06  59696.
 2011 07  44758·
 2011 08  50825·
 2011 09  45832.
 2011 10  11786·
 2011 11  47829·
 2011 12  91787.
 2012 01 77775·


 2012 02 7826.
 2012 03 57771.
 2012 04 99848·
 2012 05 57914·
 2012 06 77912·
 2012 07 38833·
 2012 08 71870.
 2012 09 11826·
 2012 10 79907.
 2012 11 78951·
 2012 12 23876·
 2013 01  90776·
 2013 02  93779·
 2013 03  90776.
 2013 04  1890·
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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, Self-employed Workers, Unincorporated, Mexican American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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