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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 1967·
 2000 02 7960·
 2000 03 8258·
 2000 04 3254·
 2000 05 5562.
 2000 06 8075·
 2000 07 3784·
 2000 08 8992·
 2000 09 7690.
 2000 10 9856·
 2000 11 1269.
 2000 12 6476·
 2001 01  3370·
 2001 02  1566.
 2001 03  2061·
 2001 04  045.
 2001 05  050.
 2001 06  3768·
 2001 07  9758.
 2001 08  6699.
 2001 09  7976·
 2001 10  9772.
 2001 11  859·
 2001 12  5863·
 2002 01 9460.
 2002 02 5058.
 2002 03 4167·
 2002 04 9374.
 2002 05 9791·
 2002 06 79103.
 2002 07 7111.
 2002 08 17107·
 2002 09 62111.
 2002 10 9093·
 2002 11 4675·
 2002 12 9883.
 2003 01  8957·
 2003 02  1451·
 2003 03  1958·
 2003 04  3063·
 2003 05  582·
 2003 06  968.
 2003 07  1568·
 2003 08  3382.
 2003 09  6069.
 2003 10  56107.
 2003 11  47112·
 2003 12  51103·
 2004 01 2865.
 2004 02 6157·
 2004 03 5277·
 2004 04 5256·
 2004 05 1176·
 2004 06 5792.
 2004 07 9499.
 2004 08 31101·
 2004 09 3490.
 2004 10 089.
 2004 11 6069·
 2004 12 8100.
 2005 01  4793.
 2005 02  7193·
 2005 03  6496·
 2005 04  25100.
 2005 05  2595·
 2005 06  7787.
 2005 07  4277.
 2005 08  5388.
 2005 09  7095.
 2005 10  50108.
 2005 11  5994·
 2005 12  8675·
 2006 01 587·
 2006 02 4789.
 2006 03 1122.
 2006 04 42106.
 2006 05 8389.
 2006 06 4990.
 2006 07 8278.
 2006 08 66105.
 2006 09 7790·
 2006 10 6388.
 2006 11 4074.
 2006 12 2778·
 2007 01  8991·
 2007 02  1974·
 2007 03  3887·
 2007 04  1986·
 2007 05  4486.
 2007 06  7689·
 2007 07  6395.
 2007 08  6193·
 2007 09  9375.
 2007 10  1577·
 2007 11  2899·
 2007 12  9883·
 2008 01 995.
 2008 02 4274.
 2008 03 7262.
 2008 04 9888·
 2008 05 9586.
 2008 06 8991.
 2008 07 5788.
 2008 08 5663.
 2008 09 7674·
 2008 10 1283·
 2008 11 7069·
 2008 12 9185.
 2009 01  180.
 2009 02  9482.
 2009 03  2691.
 2009 04  4675.
 2009 05  4795.
 2009 06  4169·
 2009 07  6296·
 2009 08  9297.
 2009 09  1378·
 2009 10  8475.
 2009 11  4073.
 2009 12  2279.
 2010 01 2578.
 2010 02 8097·
 2010 03 49105·
 2010 04 55110.
 2010 05 34106.
 2010 06 1191·
 2010 07 183·
 2010 08 3585·
 2010 09 1484·
 2010 10 8463.
 2010 11 3561·
 2010 12 3381.
 2011 01  6768.
 2011 02  2947.
 2011 03  1362.
 2011 04  4180·
 2011 05  1795.
 2011 06  499.
 2011 07  2397·
 2011 08  79111.
 2011 09  16101·
 2011 10  9189·
 2011 11  7874.
 2011 12  9170.
 2012 01 3780·
 2012 02 9692.
 2012 03 16104.
 2012 04 46102·
 2012 05 8394.
 2012 06 5090·
 2012 07 085.
 2012 08 3893·
 2012 09 7792.
 2012 10 11105.
 2012 11 1897.
 2012 12 87112·
 2013 01  71101·
 2013 02  59108·
 2013 03  82105·
 2013 04  3795·
 2013 05  4094.
 2013 06  278.
 2013 07  3182.
 2013 08  5683·
 2013 09  8496.
 2013 10  7192·
 2013 11  27103.
 2013 12  40103·
 2014 01 29102.
 2014 02 24104·
 2014 03 58117.
 2014 04 6111.
 2014 05 2696·
 2014 06 4092.
 2014 07 38108·
 2014 08 99105·
 2014 09 48121.
 2014 10 28100·
 2014 11 4111.
 2014 12 8998·
 2015 01  98107·
 2015 02  1888·
 2015 03  18103·
 2015 04  7091·
 2015 05  9981·
 2015 06  6892·
 2015 07  70109.
 2015 08  5998.
 2015 09  4112.


 2015 10  59131·
 2015 11  71123·
 2015 12  3125·
 2016 01 86110.
 2016 02 98137.
 2016 03 60107.
 2016 04 7085.
 2016 05 47110·
 2016 06 1698·
 2016 07 9992.
 2016 08 53146.
 2016 09 12133·
 2016 10 70115·
 2016 11 77127.
 2016 12 73146.
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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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