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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 1167.
 2000 02 6560.
 2000 03 4258·
 2000 04 9254.
 2000 05 9462·
 2000 06 2675·
 2000 07 6984·
 2000 08 3592.
 2000 09 1390.
 2000 10 5556.
 2000 11 6769.
 2000 12 4476.
 2001 01  1770.
 2001 02  3266·
 2001 03  4761.
 2001 04  6545.
 2001 05  8350·
 2001 06  6468·
 2001 07  4758.
 2001 08  6799.
 2001 09  976·
 2001 10  8472.
 2001 11  3159·
 2001 12  4463.
 2002 01 2260.
 2002 02 4758.
 2002 03 8667·
 2002 04 1574.
 2002 05 7291·
 2002 06 36103.
 2002 07 25111.
 2002 08 23107.
 2002 09 35111.
 2002 10 5793.
 2002 11 8675·
 2002 12 4083.
 2003 01  1057.
 2003 02  4251·
 2003 03  3258.
 2003 04  5763.
 2003 05  2482.
 2003 06  4768·
 2003 07  5168·
 2003 08  9582·
 2003 09  2669.
 2003 10  54107·
 2003 11  55112.
 2003 12  98103·
 2004 01 9265·
 2004 02 7057·
 2004 03 8377.
 2004 04 3456·
 2004 05 2376.
 2004 06 2692·
 2004 07 9899.
 2004 08 99101.
 2004 09 4390.
 2004 10 7889.
 2004 11 8769·
 2004 12 10100.
 2005 01  393.
 2005 02  1093·
 2005 03  6396.
 2005 04  13100·
 2005 05  8095·
 2005 06  2687·
 2005 07  6477·
 2005 08  7688·
 2005 09  7295.
 2005 10  60108.
 2005 11  5394·
 2005 12  9475·
 2006 01 587·
 2006 02 6789·
 2006 03 18122.
 2006 04 85106.
 2006 05 3089·
 2006 06 2890·
 2006 07 7278.
 2006 08 94105.
 2006 09 2290·
 2006 10 5288.
 2006 11 5374.
 2006 12 9178·
 2007 01  8291.
 2007 02  6974·
 2007 03  2387·
 2007 04  6886.
 2007 05  3586.
 2007 06  3689·
 2007 07  7195·
 2007 08  4593.
 2007 09  3075·
 2007 10  3577·
 2007 11  999·
 2007 12  6783.
 2008 01 4595·
 2008 02 7274·
 2008 03 7562·
 2008 04 288.
 2008 05 7986·
 2008 06 7991.
 2008 07 3288.
 2008 08 4563.
 2008 09 5774·
 2008 10 1383.
 2008 11 6969.
 2008 12 1585·
 2009 01  3080.
 2009 02  5582·
 2009 03  9791.
 2009 04  5675.
 2009 05  7395·
 2009 06  1269.
 2009 07  5596·
 2009 08  3697.
 2009 09  8778.
 2009 10  1575·
 2009 11  673.
 2009 12  5179·
 2010 01 9778·
 2010 02 2197·
 2010 03 38105.
 2010 04 20110·
 2010 05 53106.
 2010 06 1291·
 2010 07 6383·
 2010 08 8685·
 2010 09 3184·
 2010 10 9563.
 2010 11 1961.
 2010 12 1881·
 2011 01  3268·
 2011 02  147.
 2011 03  7062·
 2011 04  1180·
 2011 05  7995·
 2011 06  8699·
 2011 07  297·
 2011 08  84111.
 2011 09  25101·
 2011 10  3389.
 2011 11  3074.
 2011 12  8170.
 2012 01 4580·
 2012 02 4892.
 2012 03 91104·
 2012 04 72102.
 2012 05 3894·
 2012 06 6290.
 2012 07 4885.
 2012 08 4993.
 2012 09 3092·
 2012 10 33105·
 2012 11 8897·
 2012 12 34112.
 2013 01  72101·
 2013 02  42108·
 2013 03  25105·
 2013 04  6895·
 2013 05  3894.
 2013 06  9578.
 2013 07  9682·


 2013 08  2383.
 2013 09  3096·
 2013 10  2492·
 2013 11  65103.
 2013 12  91103·
 2014 01 73102·
 2014 02 87104.
 2014 03 19117.
 2014 04 93111.
 2014 05 1796·
 2014 06 6392·
 2014 07 72108.
 2014 08 72105.
 2014 09 37121.
 2014 10 61100.
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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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