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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 6067·
 2000 02 9760·
 2000 03 6958·
 2000 04 9254.
 2000 05 462·
 2000 06 4675·
 2000 07 6484.
 2000 08 2992·
 2000 09 9590.
 2000 10 7656.
 2000 11 4069·
 2000 12 4576.
 2001 01  8570.
 2001 02  6666.
 2001 03  1261.
 2001 04  8645.
 2001 05  4850.
 2001 06  2568·
 2001 07  1658·
 2001 08  2199.
 2001 09  8576·
 2001 10  8372.
 2001 11  1759·
 2001 12  4263·
 2002 01 2160·
 2002 02 9758·
 2002 03 167.
 2002 04 7074·
 2002 05 691·
 2002 06 50103·
 2002 07 81111·
 2002 08 48107·
 2002 09 17111.
 2002 10 4793·
 2002 11 9775·
 2002 12 4783.
 2003 01  5257.
 2003 02  2051·
 2003 03  958.
 2003 04  5963.
 2003 05  3982·
 2003 06  2668.
 2003 07  768·
 2003 08  482.
 2003 09  2669·
 2003 10  46107.
 2003 11  3112·
 2003 12  27103·
 2004 01 9065.
 2004 02 8857·
 2004 03 3577.
 2004 04 9556·
 2004 05 3176·
 2004 06 8292.
 2004 07 6699.
 2004 08 4101.
 2004 09 7490·
 2004 10 8689.
 2004 11 8469·
 2004 12 73100·
 2005 01  7093.
 2005 02  8193.
 2005 03  296.
 2005 04  46100·
 2005 05  9495·
 2005 06  7487·
 2005 07  5777·
 2005 08  9188.
 2005 09  4795.
 2005 10  95108.
 2005 11  1394.
 2005 12  475·
 2006 01 5387.
 2006 02 389.
 2006 03 57122.
 2006 04 2106.
 2006 05 6389.
 2006 06 7990.
 2006 07 378·
 2006 08 31105·
 2006 09 5390·
 2006 10 2888.
 2006 11 8774·
 2006 12 5978·
 2007 01  2391·
 2007 02  8474.
 2007 03  7487·
 2007 04  8186·
 2007 05  9986·
 2007 06  289.
 2007 07  5195·
 2007 08  1693.
 2007 09  3075·
 2007 10  6477.
 2007 11  3199·
 2007 12  883.
 2008 01 9295.
 2008 02 7774·
 2008 03 5162.
 2008 04 2588.
 2008 05 8786·
 2008 06 7391·
 2008 07 7588.
 2008 08 6363.
 2008 09 3774.
 2008 10 883.
 2008 11 9169·
 2008 12 4085·
 2009 01  9680·
 2009 02  6382·
 2009 03  1091.
 2009 04  075.
 2009 05  3795·
 2009 06  4669·
 2009 07  7396·
 2009 08  1397.
 2009 09  6178.
 2009 10  8775.
 2009 11  4073·
 2009 12  7379·
 2010 01 9478·
 2010 02 4597.
 2010 03 1105·
 2010 04 98110.
 2010 05 86106·
 2010 06 9991·
 2010 07 6783.
 2010 08 3485·
 2010 09 1184·
 2010 10 5863.
 2010 11 7861.
 2010 12 4981.
 2011 01  7268·
 2011 02  5247·
 2011 03  9562·
 2011 04  3680·
 2011 05  9395.
 2011 06  3999·
 2011 07  797·
 2011 08  17111·
 2011 09  24101.
 2011 10  9989.
 2011 11  2674·
 2011 12  3470.
 2012 01 4180·
 2012 02 4092·
 2012 03 91104·
 2012 04 56102·
 2012 05 4594.
 2012 06 9390·
 2012 07 6585.
 2012 08 7993.
 2012 09 6092.
 2012 10 14105.
 2012 11 3497·
 2012 12 20112·
 2013 01  37101.
 2013 02  87108·
 2013 03  13105·
 2013 04  2595·
 2013 05  5194·
 2013 06  1678.
 2013 07  3882.
 2013 08  6183·
 2013 09  496.
 2013 10  3492·
 2013 11  73103·
 2013 12  25103.
 2014 01 19102.
 2014 02 97104.
 2014 03 7117·
 2014 04 33111.
 2014 05 4896·
 2014 06 8792·
 2014 07 51108·
 2014 08 32105.
 2014 09 66121·
 2014 10 11100·
 2014 11 43111.
 2014 12 8998·


 2015 01  74107·
 2015 02  088.
 2015 03  47103.
 2015 04  9991·
 2015 05  9681.
 2015 06  1192·
 2015 07  50109.
 2015 08  8198·
 2015 09  84112.
 2015 10  26131.
 2015 11  66123.
 2015 12  80125.
 2016 01 12110·
 2016 02 50137.
 2016 03 31107.
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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: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: 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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