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This facility employs roughly 1,800 people and 700 truck drivers (light duty). Last year the company logged 90 injuries requiring days away from work. The
This facility employs roughly 1,800 people and 700 truck drivers (light duty). Last year the company logged 90 injuries requiring days away from work. The facility manager has asked you to report the health and safety program status compared to the national average for the next monthly meeting.
(please note that some incident rates are reported per 10,000 FTE, not 100 as discussed in class) to answer the following questions:
- Determine theexpectedtotal number of injuries at this facility in a year.
- Determine theexpectednumber of injuries requiring days away from work to drivers that may be injured at this facility in a year.
- Determine theexpectednumber of injuries requiring days away from work to drivers from musculoskeletal disorders. (show work and indicate which chart was used to find the incidence rate)
- Say the average cost of an injury is $1,000. What would be the total cost for theactualnumber of injuries at this facility for the year? (show work)
- Write one or two paragraphs summarizing findings that could present to the facility manager.Indicate how theactualinjury numbers compare to theexpectedinjury numbers for their industry. Include a brief discussion on the factors contributing to the total cost and a calculation and discussion of the revenue to offset the loss. (Show work) Finally, discuss how safety programs may work to make a company competitive.
Please, Use the BLS Occupational Injuries and Illness Chart Data for 2018 below
Chart 1: Nonfatal occupational injury and illness incidence rates by case type, private industry, 2003-18 Year 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Total recordable cases 5.0 4.8 4.5 4.4 4.2 3.9 3.6 3.5 3.4 3.4 3.3 3.2 3.0 2.9 2.8 2.8 Cases with days away from Cases with days work, job transfer or restriction 2.6 2.5 2.4 2.3 2.1 2.0 1.8 1.8 1.8 1.8 1.7 1.7 1.6 1.6 1.5 1.6 away from work 1.5 1.4 1.4 1.3 1.2 1.1 1.1 1.1 1.0 1.0 1.0 1.0 0.9 0.9 0.9 0.9 Cases with job transfer or restriction E The incidence rates represent the number of injuries and illnesses per 100 full-time workers. Note: Components may not add to totals due to rounding. Source: U.S. Bureau of Labor Statistics, US. Department of Labor, November 2019 1.1 1.1 1.0 1.0 0.9 0.9 0.8 0.8 0.7 0.7 0.7 0.7 0.7 0.7 0.7 0.7 Other recordable cases 2.4 2.3 2.2 2.1 2.1 1.9 1.8 1.7 1.7 1.6 1.6 1.5 1.4 1.3 1.3 1.3 Chart 10: Nonfatal occupational injury and illness incidence rates and distribution of cases with days away from work, by gender and ownership, 2018 Incidence rate per 10,000 Number of days away Percentage of cases Year Gender Ownership full-time workers from work cases[1] within ownership[2] Private 2018 Male 94.3 541,330 60% industry State 2018 Male 179.7 29,710 53% government Local 2018 Male 218.2 104,390 59% government Private 2018 Female 83.4 353,440 40% industry State 2018 Female 115.3 25,830 47% government Local 2018 Female 120.3 71,860 41% government [1 Days-away-from-work cases include those that resulted in days away from work, some of which also included job transfer or restriction. [2 Percentages of days away from work cases by ownership exclude cases where gender was not reported. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019Chart 11: Median days away from work due to injuries and illnesses and incidence rate by age of worker, all ownerships, 2018 2018 2018 2018 2018 2018 2018 2018 2018 Year Age group 16 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 years and older Total Median days away from work 5 5 6 8 11 14 14 9 Incidence rate per 10,000 full-time workers 111.4 100.9 86.5 91.7 104.5 113.4 98.3 98.4 EMedian days is the measure used to summarize the varying lengths of time workers were affected by an injury or illness. Half of the cases involved more days and half involved less days than a specied median. Median days are represented in actual values. Source: US. Bureau of Labor Statistics, US. Department of Labor, November 2019 Chart 12. Nonfatal occupational injury and illness incidence rates for cases with days away from work by selected event or exposure, all ownerships, 2014-18 2014 2014 2014 2014 2014 2015 2015 2015 2015 2015 2016 2016 2016 2016 2016 2017 2017 2017 2017 2017 2018 2018 2018 2018 2018 Year Event or exposure Overexertion and bodily reaction Falls, slips, trips Contact with objects or equipment Violence and other injuries by persons or animals Transportation incidents Overexertion and bodily reaction Falls, slips, trips Contact with objects or equipment Violence and other injuries by persons or animals Transportation incidents Overexertion and bodily reaction Falls, slips, trips Contact with objects or equipment Violence and other injuries by persons or animals Transportation incidents Overexertion and bodily reaction Falls, slips, trips Contact with objects or equipment Violence and other injuries by persons or animals Transportation incidents Overexertion and bodily reaction Falls, slips, trips Contact with objects or equipment Violence and other injuries by persons or animals Transportation incidents Incidence rate per 10,000 full-time workers 35.6 29.3 23.8 6.8 5.8 33.9 27.9 24.3 6.8 5.7 32.9 26.2 23.9 6.7 5.6 32 25.7 23.1 7.1 5.4 30.3 26.6 23.3 7.3 5.8 Chart 13. Nonfatal occupational injury and illness incidence rates for cases with days away from work by selected nature of injury or illness, all ownerships, 2014-18 2014 2014 2014 2014 2014 2015 2015 2015 2015 2015 2016 2016 2016 2016 2016 2017 2017 2017 2017 2017 2018 2018 2018 2018 2018 Year Nature of injury or illness Sprains, strains, tears Soreness, pain Cuts, lacerations, punctures Bruises, contusions Fractures Sprains, strains, tears Soreness, pain Cuts, lacerations, punctures Bruises, contusions Fractures Sprains, strains, tears Soreness, pain Cuts, lacerations, punctures Bruises, contusions Fractures Sprains, strains, tears Soreness, pain Cuts, lacerations, punctures Bruises, contusions Fractures Sprains, strains, tears Soreness, pain Cuts, lacerations, punctures Bruises, contusions Fractures Incidence rate per 10,000 full-time workers 38.9 18.3 8.8 8.8 38 15.6 9.6 9.1 8.9 36.3 16.8 9.3 8.8 8.5 35 17.1 8.9 8.6 8.7 34.0 18.7 9.0 8.8 8.2 Chart 14: Median days away from work and incidence rate due to injuries and illnesses by nature, all ownerships, 2018 Year 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 Natu reg Multiple injuries with fractures Fractures Amputations Carpal tunnel syndrome Tendonitis Sprains, strains, tears Multiple traumatic injuries Soreness, pain Multiple injuries with sprains Bruises, contusions Heat (thermal) burns Cuts, lacerations Cuts, lacerations, punctures Chemical burns and corrosions Punctures (except gunshot wounds) Median days away from work 48 32 31 30 14 11 Incidence rate per 10,000 full-time workers 0.4 8.2 0.5 0.5 0.2 34 2.8 18.7 1.5 8.8 1.5 7.5 0.4 1.5 EData shown in columns correspond to nature of injury or illness based on the Occupational Injury and Illness Classication System 2.01 developed by the Bureau of Labor Statistics. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 15: Nonfatal occupational injury and illness number of cases with days away from work and incidence rates for selected occupations with 20,000 cases or more, all ownerships, 2018 Year 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 Occupation code Occupation title Laborers and Freight, 53-7062 Stock, and Material Movers, 53-3032 37-2011 31-1014 49-9071 41-2031 43-5081 33-3051 29-1141 53-3033 47-2061 Hand Heavy and TractorTrailer Truck Drivers Janitors and Cleaners, Except Maids and Housekeeping Cleaners Nursing Assistants Maintenance and Repair Workers, General Retail Salespersons Stock Clerks and Order Fillers Police and Sheriff's Patrol Ofcers Registered Nurses Light Truck or Delivery Services Drivers Construction Laborers Incidence rate per 10,000 full-time workers 264.1 262.1 200.9 272.4 214.7 74.3 151.1 371.4 93.6 233 222.4 Number of days away from work cases 68,470 49,700 35,520 33,430 29,370 26,760 25,570 25,410 24,080 22,480 21,710 EStandard Occupational Classification Manual, 2010, Office of Management and Budget. EDays-away-from-work cases include those that resulted in days away from work, some of which also included job transfer or restriction. Note: Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals. Chart 16: Nonfatal occupational injury and illness incidence rate for cases resulting in days away from work by selected occupations and leading event or exposure, all ownerships, 2014- 18 Year 2014 2015 2016 2017 2018 2014 2015 2016 2017 2018 2014 2015 2016 2017 2018 Occupation Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractortrailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractortrailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractortrailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractor-trailer truck drivers Heavy and tractortrailer truck drivers Heavy and tractor-trailer truck drivers Event or exposure Fall on same level Fall on same level Fall on same level Fall on same level Fall on same level Roadway incidents Roadway incidents Roadway incidents Roadway incidents Roadway incidents Struck by object Struck by object Struck by object Struck by object Struck by object Incidence rate per 10,000 full-time equivalent workers 58.6 47.9 43.6 39.5 41.4 42.8 40.7 35.3 40.6 34.4 34.3 29.6 33.5 31.8 26.4 2014 Nursing assistants Fall on same level 51.8 2015 Nursing assistants Fall on same level 54.4 2016 Nursing assistants Fall on same level 54.2 2017 Nursing assistants Fall on same level 47.9 2018 Nursing assistants Fall on same level 42.9 2014 Nursing assistants Overexertion in lifting or lowering 44.4 2015 Nursing assistants Overexertion in lifting or lowering 42.5 2016 Nursing assistants Overexertion in lifting or lowering 41.3 2017 Nursing assistants Overexertion in lifting or lowering 42.4 2018 Nursing assistants Overexertion in lifting or lowering 32.2 2014 Nursing assistants Violence and other injuries by 51.6 persons or animal Violence and other injuries by 2015 Nursing assistants 56.3 persons or animal Nursing assistants Violence and other injuries by 2016 47.9 persons or animal Violence and other injuries by 2017 Nursing assistants 51.4 persons or animal Nursing assistants Violence and other injuries by 2018 43.7 persons or animal Violence and other injuries by 2014 Police and sheriff's patrol officers 131.1 persons or animal Violence and other injuries by 2015 Police and sheriff's patrol officers 140.4 persons or animal Violence and other injuries by 2016 Police and sheriff's patrol officers 138.2 persons or animal Violence and other injuries by 2017 Police and sheriff's patrol officers 151.3 persons or animal Violence and other injuries by 2018 Police and sheriff's patrol officers 121.7 persons or animal 2014 Police and sheriff's patrol officers Fall on same level 87.5 2015 Police and sheriff's patrol officers Fall on same level 73.52016 Police and sheriff's patrol officers Fall on same level 40.6 2017 Police and sheriff's patrol officers Fall on same level 50.5 2018 Police and sheriff's patrol officers Fall on same level 33.2 2014 Police and sheriff's patrol officers Roadway incidents 53.4 2015 Police and sheriff's patrol officers Roadway incidents 66.1 2016 Police and sheriff's patrol officers Roadway incidents 59.1 2017 Police and sheriff's patrol officers Roadway incidents 52.6 2018 Police and sheriff's patrol officers Roadway incidents 47.5 Laborers and freight, stock, and 2014 Struck by object . [2] material movers Laborers and freight, stock, and 2015 Struck by object 61.8 material movers 2016 Laborers and freight, stock, and Struck by object 66.9 material movers Laborers and freight, stock, and 2017 Struck by object 63.5 material movers Laborers and freight, stock, and 2018 Struck by object 57.0 material movers 2014 Laborers and freight, stock, and Overexertion in lifting or lowering - [2] material movers 2015 Laborers and freight, stock, and material movers Overexertion in lifting or lowering 19.5 2016 Laborers and freight, stock, and material movers Overexertion in lifting or lowering 56.3 Laborers and freight, stock, and 2017 material movers Overexertion in lifting or lowering 52.5 2018 Laborers and freight, stock, and Overexertion in lifting or lowering 45.6 material movers Laborers and freight, stock, and 2014 Fall on same level - [2] material movers Laborers and freight, stock, and 2015 Fall on same level 29.6 material movers Laborers and freight, stock, and 2016 Fall on same level 29.82017 Laborers and freight, stock, and Fall on same level 31.7 material movers Laborers and freight, stock, and 2018 Fall on same level 28.1 material movers Data shown in columns correspond to event or exposure based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics. 2 Incidence rates are not available for 2014 for Laborers and freight, stock, and material movers. Note: Dash indicates data do not meet publication guidelines. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019Chart 17: Nonfatal occupational injury and illness incidence rates for cases involving days away from work for selected healthcare and protective service occupations, by ownership, 2018 Private industry Year State Local Occupation incidence government government code[1] Occupation title rate[2] incidence rate incidence rate 2018 31-1013 Psychiatric aides 647.7 1475.7 Psychiatric 2018 29-2053 619.4 800.2 999.6 technicians Police and sheriff's 2018 33-3051 549.8 423.9 448.7 patrol officers Emergency 2018 29-2041 medical 273.9 153.5 381.2 technicians and paramedics 2018 31-1014 Nursing assistants 255.7 445.9 459.7 2018 33-2011 Firefighters 130.3 548.1 534 2018 29-1141 Registered nurses 88.4 194.5 97.3 Licensed practical 2018 29-2061 and licensed 85.6 427.7 133.9 vocational nurses [1]Standard Occupational Classification Manual, 2010, Office of Management and Budget. 12 Incidence rate per 10,000 full-time equivalent workers Note: Dash indicates data do not meet publication guidelines. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019Chart 18: Nonfatal occupational injury and illness incidence rates and number of cases of musculoskeletal disorders with days away from work, by ownership, 2018 Year Incidence rate per 10,000 full- Number of days away from Ownership time workers work cases 2018 Private industry 27.2 272,780 Stat 2018 6 33.5 13,210 government Local 2018 45.4 49,030 government EDays-away-from-work cases include those that resulted in days away from work, some of which also included job transfer or restriction. Note: Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 19: Nonfatal occupational injury and illness incidence rates and number of cases of musculoskeletal disorders by selected occupations, all ownerships, 2018 Year 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 Occupation code Occupation title 332011 Firefighters Emergency Medical Technicians 292041 and Paramedics Reservation and Transportation Ticket Agents and Travel Clerks 31-1014 Nursing Assistants 533021 Bus Drivers, Transit and Intercity Telecommunications Equipment 492022 Installers and Repairers, Except Line Installers 43-4181 Telecommunications Line 49-9052 Installers and Repairers Laborers and Freight, Stock, and 53-7062 Material Movers, Hand 53-3033 L'th Truck or Delivery Sarvlces Drivers 372012 Maids and Housekeeping Cleaners All workers with musculoskeletal Total . disorders Incidence rate per 10,000 full- time workers 191.1 174.7 146.4 140.5 123.7 123.2 117 100 87.4 82.4 29.1 Number of days away from work casesE 7,170 4,510 1,740 17,240 1,790 2,800 1,450 25,930 8,430 6,240 335,070 EStandard Occupational Classification Manual, 2010, Ofce of Management and Budget. EDaysawayfromwork cases include those that resulted in days away from work, some of which also included job transfer or restriction. Note: Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 2: Distribution of nonfatal occupational injuries and illnesses by private industry sector, 2018 Private industry sector Number of Illnesses (In thousands) Health care and social assistance 32.7 Manufacturing 35.0 Retail trade 8.8 Accommodation and food services 7.6 Transportation and warehousing 8.3 Construction 3.6 Wholesale trade 3.7 Administrative and waste services 5.8 Other services (except public 19 administration) Professional and technical services 4.4 Arts, entertainment, and recreation 3.5 Agriculture, forestry, shing and hunting 2.6 Real estate and rental and leasing 0.9 Educational services 1.8 Information 1.6 Finance and insurance 2.5 Management of companies and enterprises 0.8 Utilities 1.0 Mining, quarrying, and oil and gas 04 extraction Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Number of injuries (in thousands) 544.8 395.3 401.1 271.0 213.1 195.6 157.1 112.8 70.8 66.1 54.4 51.8 45.2 35.1 31.7 26.1 16.8 9.6 9.4 Chart 20: Number of nonfatal occupational injuries and illnesses with days away from work by medical treatment facility visits, private industry sector, 2018 Total medical In-patient overnight Private industry sector treatment facility Emergency room hospitalizations (with or without visits visits only ER visits) Health care and social assistance 60,750 57,390 3,360 Manufacturing 48,730 41,890 6,830 Retail trade 36,380 32,660 3,720 Construction 36,250 29,210 7,040 Accommodation and food services 33,230 30,860 2,380 Transportation and warehousing 30,080 26,490 3,590 Wholesale trade 18,840 15,660 3,170 Administrative and support and waste management and remediation 18,020 15,830 2,190 services Professmnal, scientific, and technical 8,360 7,150 1,210 servnces Agriculture, forestry, shing and 6,770 5,560 1,210 hunting Arm, entertainment, and recreation 5,970 5,410 570 Real estate and rental and leasing 5,130 4,280 850 Educational services 3,950 3,550 400 Finance and insurance 2,200 1,950 250 Management of companies and 1,620 1,360 260 enterprises Utilities 1,590 1,410 190 Mining 1,050 830 220 ENorth American Industry Classication System United States, 2012 E Total medical treatment facility visits include inpatient overnight hospitalization only, emergency room treatment only, and visits treated both in the emergency room and in-patient overnight hospitalization. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 21: Incidence rate, number of cases, and median days away from work of nonfatal occupational injuries and illnesses with days away from work by medical treatment facility visits, selected private industry sector, 2018 Median days Incidence rate per 10,000 full- away from time workers Number of cases[2] work [3] Private industry "In-patient "In-patient "In-patient sector[1] overnight overnight overnight Emergency hospitalization Emergency hospitalization Emergency hospitalization room visit (with or without room visit (with or without room visit (with or without only ER visit)" only ER visit)" only ER visit)" Transportation and 53.3 7.2 26,490 3,590 17 71 warehousing Construction 43.5 10.5 29,210 7,040 8 55 Health care and 39.1 2.3 57,390 3,360 6 30 social assistance Accommodation and food 34.8 2.7 30,860 2,380 5 31 services Manufacturing 33.2 5.4 41,890 6,830 48 Retail trade 27.7 3.2 32,660 3,720 5 42 [1]North American Industry Classification System -- United States, 2012 121 Total medical treatment facility visits include in-patient overnight hospitalization only, emergency room treatment only, and visits treated both in the emergency room and in-patient overnight hospitalization. Median days is the measure used to summarize the varying lengths of time workers were affected by an injury or illness. Half of the cases involved more days and half involved less days than a specified median. Median days are represented in actual values. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019Chart 3: Incidence rates and numbers of nonfatal occupational injuries and illnesses by private industry sector, 2018 Private industry sector Agriculture, forestry, shing and hunting Transportation and warehousing Arts, entertainment, and recreation Health care and social assistance Retail trade Manufacturing Accommodation and food services Construction Wholesale trade Administrative and waste services Real estate and rental and leasing Other services (except public administration) Educational services Utilities Mining, quarrying, and oil and gas extraction Information Management of companies and enterprises Professional and technical services Finance and insurance Incidence rate 5.3 4.5 4.1 3.9 3.5 3.4 3.1 3.0 2.9 2.3 2.3 2.2 1.9 1.9 1.4 1.3 0.8 0.8 0.5 Number of cases (in thousands) 54.4 221.4 57.9 577.4 409.9 430.3 278.5 199.1 160.8 118.6 46.1 72.8 36.9 10.6 9.8 33.3 17.5 70.5 28.5 E The incidence rates represent the number of injuries and illnesses per 100 full-time workers. Source: U.S. Bureau of Labor Statistics, US. Department of Labor, November 2019 Chart 4: Incidence rates and numbers of nonfatal occupational illnesses by private industry sector, 2018 Private industry sector Manufacturing Agriculture, forestry, shing, and hunting Arts, entertainment, and recreation Health care and social assistance Utilities Transportation and warehousing Administrative and waste services Educational services Accommodation and food services Retail trade Wholesale trade Information Other services (except public administration) Construction Professional and technical services Mining, quarrying, and oil and gas extraction Finance and insurance Real estate and rental and leasing Management of companies and enterprises Incidence rate E 27.7 25.2 25.0 22.3 18.8 16.6 11.1 9.0 8.5 7.5 6.5 6.3 6.0 5.3 5.3 5.2 4.4 4.4 3.2 Number of cases (in thousands) 35.0 2.6 3.5 32.7 1.0 8.3 5.8 1.8 7.6 8.8 3.7 1.6 1.9 3.6 4.4 0.4 2.5 0.9 0.8 E The incidence rates represent the number of injuries and illnesses per 10,000 full-time workers. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 5: Nonfatal occupational injury and illness incidence rates by case type and ownership, 2018 Total Cases with days away from Cases with Cases with job Other Ownership recordable work, job transfer or days away transfer or recordable cases restriction from work restriction cases Pr'vate 2.8 1.6 0.9 0.7 1.3 Industry St t a e 3.6 1.9 1.4 0.5 1.7 government Lcal 5.3 2.4 1.6 0.8 2.8 government E The incidence rates represent the number of injuries and illnesses per 100 full-time workers. Note: Components may not add to totals due to rounding. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 6: Incidence rates and numbers of nonfatal occupational injuries and illnesses by selected industries, state government, 2018 I d t Ct NAICS Incidence rate Number of cases (in n us se or ry code Q thousands) Nursing and residential care facilities 623 11.9 13.1 Hospitals 622 8.1 25.0 Correctional institutions 92214 7.3 29.9 Colleges, Universities, and Professional 6113 1.9 22.8 Schools E North American Industry Classification System -- United States, 2012 E The incidence rates represent the number of injuries and illnesses per 100 full-time workers. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019 Chart 7: Incidence rates and numbers of nonfatal occupational injuries and illnesses by selected industries, local government, 2018 Industry sector NAICS codeE Incidence rateE Number of cases (in thousands) Nursing and residential care facilities 623 7.3 3.8 Public administration 92 6.5 228.3 Water sewage and other systems 2213 5.8 8.5 Hospitals 622 5.4 29.5 Elementary and secondary schools 6111 4.5 235.7 E North American Industry Classification System -- United States, 2012 E The incidence rates represent the number of injuries and illnesses per 100 fulltime workers. Source: U.S. Bureau of Labor Statistics, US. Department of Labor, November 2019 Chart 8: State nonfatal occupational injury and illness incidence rates compared to the national rate, private industry, 2018 State Alabama Alaska Arizona Arkansas California Connecticut Delaware District of Columbia Georgia Hawaii Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Missouri Incidence rate E 2.7 3.6 3.0 2.2 3.3 3.2 2.4 1.7 2.5 3.3 2.7 3.2 3.3 3.1 3.2 1.8 4.7 2.8 2.6 3.0 3.2 2.8 Compared to the national rate State rate not statistically different from national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically less than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically less than national rate State rate statistically less than national rate State rate statistically less than national rate State rate statistically greater than national rate State rate not statistically different from national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically less than national rate State rate statistically greater than national rate State rate not statistically different from national rate State rate statistically less than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate not statistically different from national rate Montana Nebraska Nevada New Jersey New Mexico New York North Carolina Ohio Oregon Pennsylvania South Carolina Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 3.9 3.2 3.5 2.6 2.8 2.2 2.4 2.4 3.6 3.2 2.4 2.8 2.0 2.8 4.7 2.5 4.0 3.0 3.6 3.2 State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically less than national rate State rate not statistically different from national rate State rate statistically less than national rate State rate statistically less than national rate State rate statistically less than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically less than national rate State rate not statistically different from national rate State rate statistically less than national rate State rate not statistically different from national rate State rate statistically greater than national rate State rate statistically less than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically greater than national rate State rate statistically greater than national rate Q The incidence rates represent the number of injuries and illnesses per 100 full-time workers. Note: Rates not available for states not participating in Survey of Occupational Injuries and Illnesses. Source: US. Bureau of Labor Statistics, US. Department of Labor, November 2019 Chart 9: Nonfatal occupational injury and illness incidence rates and number of cases with days away from work, by ownership, 2018 Year Incidence rate per 10,000 full-time Number of days away from work Ownership workers cases 2018 All ownerships 98.4 1,133,670 2018 Private industry 89.7 900,380 2018 State government 142.6 56,170 2018 Local government 163.9 177,120 E Daysawayfromwork cases include those that resulted in days away from work, some of which also included job transfer or restriction. Source: US. Bureau of Labor Statistics, U.S. Department of Labor, November 2019Step by Step Solution
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