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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
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 2000 01 8967.
 2000 02 5360·
 2000 03 2958·
 2000 04 8454.
 2000 05 662.
 2000 06 8775.
 2000 07 2184·
 2000 08 3192.
 2000 09 2090·
 2000 10 5256.
 2000 11 4569·
 2000 12 876.
 2001 01  8370·
 2001 02  2766.
 2001 03  1561.
 2001 04  5945·
 2001 05  6850.
 2001 06  2168.
 2001 07  6758.
 2001 08  5399·
 2001 09  7876.
 2001 10  6472·
 2001 11  6559.
 2001 12  8563.
 2002 01 3660·
 2002 02 1458.
 2002 03 9667.
 2002 04 7374.
 2002 05 9491.
 2002 06 52103.
 2002 07 75111·
 2002 08 62107·
 2002 09 28111.
 2002 10 8493.
 2002 11 3875.
 2002 12 2083·
 2003 01  3657·
 2003 02  4251·
 2003 03  4858·
 2003 04  4263.
 2003 05  4582·
 2003 06  8368.
 2003 07  9368·
 2003 08  4882.
 2003 09  569.
 2003 10  89107.
 2003 11  87112·
 2003 12  80103.
 2004 01 9265.
 2004 02 6657·
 2004 03 6777·
 2004 04 956.
 2004 05 576.
 2004 06 4592.
 2004 07 9699.
 2004 08 28101·
 2004 09 7190·
 2004 10 8489.
 2004 11 6169·
 2004 12 57100.
 2005 01  4093·
 2005 02  6493.
 2005 03  7796.
 2005 04  40100.
 2005 05  8695·
 2005 06  9287.
 2005 07  7977.
 2005 08  4688·
 2005 09  1195.
 2005 10  99108.
 2005 11  3394.
 2005 12  6875·
 2006 01 4087.
 2006 02 4289.
 2006 03 25122.
 2006 04 27106.
 2006 05 2389.
 2006 06 290·
 2006 07 6878·
 2006 08 66105.
 2006 09 3690·
 2006 10 8788.
 2006 11 074.
 2006 12 5578·
 2007 01  7991.
 2007 02  2874·
 2007 03  8587.
 2007 04  8786.
 2007 05  7786·
 2007 06  8189.
 2007 07  995·
 2007 08  8293·
 2007 09  8175·
 2007 10  2977.
 2007 11  8699·
 2007 12  8383.
 2008 01 6695·
 2008 02 7774.
 2008 03 5462·
 2008 04 6188·
 2008 05 3386.
 2008 06 5791·
 2008 07 7688·
 2008 08 963.
 2008 09 674.
 2008 10 2783·
 2008 11 3969·
 2008 12 4685·
 2009 01  3780.
 2009 02  6882·
 2009 03  5791.
 2009 04  1675.
 2009 05  195·
 2009 06  8669·
 2009 07  6796.
 2009 08  9097.
 2009 09  9878.
 2009 10  1375·
 2009 11  3273.
 2009 12  5979·
 2010 01 5378·
 2010 02 597·
 2010 03 40105.
 2010 04 45110·
 2010 05 18106·
 2010 06 4591.
 2010 07 583.
 2010 08 9185.
 2010 09 6684·
 2010 10 3963·
 2010 11 6361·
 2010 12 6681·
 2011 01  068.
 2011 02  1847·
 2011 03  7862.
 2011 04  6480·
 2011 05  4395.
 2011 06  4099·
 2011 07  3797·
 2011 08  4111·
 2011 09  47101·
 2011 10  8589·
 2011 11  5474·
 2011 12  3170·
 2012 01 8780·
 2012 02 6192.
 2012 03 67104.
 2012 04 14102·
 2012 05 6394·
 2012 06 9990.
 2012 07 3885·
 2012 08 4693·
 2012 09 092.
 2012 10 56105.
 2012 11 5597·
 2012 12 48112.
 2013 01  50101.
 2013 02  13108·
 2013 03  31105.
 2013 04  6395.
 2013 05  8794.
 2013 06  7878·
 2013 07  482·
 2013 08  6083.
 2013 09  1296.
 2013 10  8192·
 2013 11  37103.
 2013 12  33103·
 2014 01 50102.
 2014 02 79104.
 2014 03 18117·
 2014 04 2111.
 2014 05 5296·
 2014 06 5492.
 2014 07 60108·
 2014 08 10105.
 2014 09 93121.
 2014 10 13100.
 2014 11 0111·
 2014 12 2898.
 2015 01  73107.
 2015 02  8888·
 2015 03  1103.
 2015 04  4891·
 2015 05  1881.
 2015 06  3492.
 2015 07  52109.
 2015 08  9098.
 2015 09  78112·
 2015 10  34131.
 2015 11  65123·


 2015 12  99125·
 2016 01 29110·
 2016 02 93137.
 2016 03 79107·
 2016 04 4385.
 2016 05 70110·
 2016 06 4598.
 2016 07 5592.
 2016 08 17146·
 2016 09 28133.
 2016 10 45115·
 2016 11 82127.
 2016 12 39146.
 2017 01  53176·
 2017 02  76154.
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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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