2018 SURVEY OF OCCUPATIONAL INJURIES AND ILLNESSES CHART DATA : U.S. Bureau of Labor Statistics

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Chart 1: Nonfatal occupational injury and illness incidence rates⁽¹⁾ by case type, private industry, 2003-18
Year	Total recordable cases	Cases with days away from work, job transfer or restriction	Cases with days away from work	Cases with job transfer or restriction	Other recordable cases
2003	5.0	2.6	1.5	1.1	2.4
2004	4.8	2.5	1.4	1.1	2.3
2005	4.6	2.4	1.4	1.0	2.2
2006	4.4	2.3	1.3	1.0	2.1
2007	4.2	2.1	1.2	0.9	2.1
2008	3.9	2.0	1.1	0.9	1.9
2009	3.6	1.8	1.1	0.8	1.8
2010	3.5	1.8	1.1	0.8	1.7
2011	3.4	1.8	1.0	0.7	1.7
2012	3.4	1.8	1.0	0.7	1.6
2013	3.3	1.7	1.0	0.7	1.6
2014	3.2	1.7	1.0	0.7	1.5
2015	3.0	1.6	0.9	0.7	1.4
2016	2.9	1.6	0.9	0.7	1.3
2017	2.8	1.5	0.9	0.7	1.3
2018	2.8	1.6	0.9	0.7	1.3
^[1] 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 2: Distribution of nonfatal occupational injuries and illnesses by private industry sector, 2018
Private industry sector	Number of illnesses (in thousands)	Number of injuries (in thousands)
Health care and social assistance	32.7	544.8
Manufacturing	35.0	395.3
Retail trade	8.8	401.1
Accommodation and food services	7.6	271.0
Transportation and warehousing	8.3	213.1
Construction	3.6	195.6
Wholesale trade	3.7	157.1
Administrative and waste services	5.8	112.8
Other services (except public administration)	1.9	70.8
Professional and technical services	4.4	66.1
Arts, entertainment, and recreation	3.5	54.4
Agriculture, forestry, fishing and hunting	2.6	51.8
Real estate and rental and leasing	0.9	45.2
Educational services	1.8	35.1
Information	1.6	31.7
Finance and insurance	2.5	26.1
Management of companies and enterprises	0.8	16.8
Utilities	1.0	9.6
Mining, quarrying, and oil and gas extraction	0.4	9.4
Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019

Chart 3: Incidence rates and numbers of nonfatal occupational injuries and illnesses by private industry sector, 2018
Private industry sector	Incidence rate⁽¹⁾	Number of cases (in thousands)
Agriculture, forestry, fishing and hunting	5.3	54.4
Transportation and warehousing	4.5	221.4
Arts, entertainment, and recreation	4.1	57.9
Health care and social assistance	3.9	577.4
Retail trade	3.5	409.9
Manufacturing	3.4	430.3
Accommodation and food services	3.1	278.5
Construction	3.0	199.1
Wholesale trade	2.9	160.8
Administrative and waste services	2.3	118.6
Real estate and rental and leasing	2.3	46.1
Other services (except public administration)	2.2	72.8
Educational services	1.9	36.9
Utilities	1.9	10.6
Mining, quarrying, and oil and gas extraction	1.4	9.8
Information	1.3	33.3
Management of companies and enterprises	0.8	17.5
Professional and technical services	0.8	70.5
Finance and insurance	0.5	28.5
^[1] 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 4: Incidence rates and numbers of nonfatal occupational illnesses by private industry sector, 2018
Private industry sector	Incidence rate ⁽¹⁾	Number of cases (in thousands)
Manufacturing	27.7	35.0
Agriculture, forestry, fishing, and hunting	25.2	2.6
Arts, entertainment, and recreation	25.0	3.5
Health care and social assistance	22.3	32.7
Utilities	18.8	1.0
Transportation and warehousing	16.6	8.3
Administrative and waste services	11.1	5.8
Educational services	9.0	1.8
Accommodation and food services	8.5	7.6
Retail trade	7.5	8.8
Wholesale trade	6.5	3.7
Information	6.3	1.6
Other services (except public administration)	6.0	1.9
Construction	5.3	3.6
Professional and technical services	5.3	4.4
Mining, quarrying, and oil and gas extraction	5.2	0.4
Finance and insurance	4.4	2.5
Real estate and rental and leasing	4.4	0.9
Management of companies and enterprises	3.2	0.8
^[1] 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⁽¹⁾ by case type and ownership, 2018
Ownership	Total recordable cases	Cases with days away from work, job transfer or restriction	Cases with days away from work	Cases with job transfer or restriction	Other recordable cases
Private industry	2.8	1.6	0.9	0.7	1.3
State government	3.6	1.9	1.4	0.5	1.7
Local government	5.3	2.4	1.6	0.8	2.8
^[1] 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
Industry sector	NAICS code⁽¹⁾	Incidence rate ⁽²⁾	Number of cases (in 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 Schools	6113	1.9	22.8
^[1] North American Industry Classification System -- United States, 2012 ^[2] 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 code^[1]	Incidence rate^[2]	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
^[1] North American Industry Classification System -- United States, 2012 ^[2] 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 8: State nonfatal occupational injury and illness incidence rates compared to the national rate, private industry, 2018
State	Incidence rate ^[1]	Compared to the national rate
Alabama	2.7	State rate not statistically different from national rate
Alaska	3.6	State rate statistically greater than national rate
Arizona	3.0	State rate statistically greater than national rate
Arkansas	2.2	State rate statistically less than national rate
California	3.3	State rate statistically greater than national rate
Connecticut	3.2	State rate statistically greater than national rate
Delaware	2.4	State rate statistically less than national rate
District of Columbia	1.7	State rate statistically less than national rate
Georgia	2.5	State rate statistically less than national rate
Hawaii	3.3	State rate statistically greater than national rate
Illinois	2.7	State rate not statistically different from national rate
Indiana	3.2	State rate statistically greater than national rate
Iowa	3.3	State rate statistically greater than national rate
Kansas	3.1	State rate statistically greater than national rate
Kentucky	3.2	State rate statistically greater than national rate
Louisiana	1.8	State rate statistically less than national rate
Maine	4.7	State rate statistically greater than national rate
Maryland	2.8	State rate not statistically different from national rate
Massachusetts	2.6	State rate statistically less than national rate
Michigan	3.0	State rate statistically greater than national rate
Minnesota	3.2	State rate statistically greater than national rate
Missouri	2.8	State rate not statistically different from national rate
Montana	3.9	State rate statistically greater than national rate
Nebraska	3.2	State rate statistically greater than national rate
Nevada	3.5	State rate statistically greater than national rate
New Jersey	2.6	State rate statistically less than national rate
New Mexico	2.8	State rate not statistically different from national rate
New York	2.2	State rate statistically less than national rate
North Carolina	2.4	State rate statistically less than national rate
Ohio	2.4	State rate statistically less than national rate
Oregon	3.6	State rate statistically greater than national rate
Pennsylvania	3.2	State rate statistically greater than national rate
South Carolina	2.4	State rate statistically less than national rate
Tennessee	2.8	State rate not statistically different from national rate
Texas	2.0	State rate statistically less than national rate
Utah	2.8	State rate not statistically different from national rate
Vermont	4.7	State rate statistically greater than national rate
Virginia	2.5	State rate statistically less than national rate
Washington	4.0	State rate statistically greater than national rate
West Virginia	3.0	State rate statistically greater than national rate
Wisconsin	3.6	State rate statistically greater than national rate
Wyoming	3.2	State rate statistically greater than national rate
^[1] 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: U.S. Bureau of Labor Statistics, U.S. 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	Ownership	Incidence rate per 10,000 full-time workers	Number of days away from work cases^[1]
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
^[1] Days-away-from-work cases include those that resulted in days away from work, some of which also included job transfer or restriction. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019

Chart 10: Nonfatal occupational injury and illness incidence rates and distribution of cases with days away from work, by gender and ownership, 2018
Year	Gender	Ownership	Incidence rate per 10,000 full-time workers	Number of days away from work cases^[1]	Percentage of cases within ownership^[2]
2018	Male	Private industry	94.3	541,330	60%
2018	Male	State government	179.7	29,710	53%
2018	Male	Local government	218.2	104,390	59%
2018	Female	Private industry	83.4	353,440	40%
2018	Female	State government	115.3	25,830	47%
2018	Female	Local government	120.3	71,860	41%
^[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 2019

Chart 11: Median days away from work due to injuries and illnesses and incidence rate by age of worker, all ownerships, 2018
Year	Age group	Median days away from work^[1]	Incidence rate per 10,000 full-time workers
2018	16 to 19 years	5	111.4
2018	20 to 24 years	5	100.9
2018	25 to 34 years	6	86.5
2018	35 to 44 years	8	91.7
2018	45 to 54 years	11	104.5
2018	55 to 64 years	14	113.4
2018	65 years and older	14	98.3
2018	Total	9	98.4
^[1]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 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
Year	Event or exposure^[1]	Incidence rate per 10,000 full-time workers
2014	Overexertion and bodily reaction	35.6
2014	Falls, slips, trips	29.3
2014	Contact with objects or equipment	23.8
2014	Violence and other injuries by persons or animals	6.8
2014	Transportation incidents	5.8
2015	Overexertion and bodily reaction	33.9
2015	Falls, slips, trips	27.9
2015	Contact with objects or equipment	24.3
2015	Violence and other injuries by persons or animals	6.8
2015	Transportation incidents	5.7
2016	Overexertion and bodily reaction	32.9
2016	Falls, slips, trips	26.2
2016	Contact with objects or equipment	23.9
2016	Violence and other injuries by persons or animals	6.7
2016	Transportation incidents	5.6
2017	Overexertion and bodily reaction	32
2017	Falls, slips, trips	25.7
2017	Contact with objects or equipment	23.1
2017	Violence and other injuries by persons or animals	7.1
2017	Transportation incidents	5.4
2018	Overexertion and bodily reaction	30.3
2018	Falls, slips, trips	26.6
2018	Contact with objects or equipment	23.3
2018	Violence and other injuries by persons or animals	7.3
2018	Transportation incidents	5.8
^[1]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. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019

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
Year	Nature of injury or illness^[1]	Incidence rate per 10,000 full-time workers
2014	Sprains, strains, tears	38.9
2014	Soreness, pain	18.3
2014	Cuts, lacerations, punctures	8.8
2014	Bruises, contusions	9
2014	Fractures	8.8
2015	Sprains, strains, tears	38
2015	Soreness, pain	16.6
2015	Cuts, lacerations, punctures	9.6
2015	Bruises, contusions	9.1
2015	Fractures	8.9
2016	Sprains, strains, tears	36.3
2016	Soreness, pain	16.8
2016	Cuts, lacerations, punctures	9.3
2016	Bruises, contusions	8.8
2016	Fractures	8.5
2017	Sprains, strains, tears	35
2017	Soreness, pain	17.1
2017	Cuts, lacerations, punctures	8.9
2017	Bruises, contusions	8.6
2017	Fractures	8.7
2018	Sprains, strains, tears	34.0
2018	Soreness, pain	18.7
2018	Cuts, lacerations, punctures	9.0
2018	Bruises, contusions	8.8
2018	Fractures	8.2
^[1]Data shown in columns correspond to nature of injury or illness based on the Occupational Injury and Illness Classification 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 14: Median days away from work and incidence rate due to injuries and illnesses by nature, all ownerships, 2018
Year	Nature^[1]	Median days away from work	Incidence rate per 10,000 full-time workers
2018	Multiple injuries with fractures	48	0.4
2018	Fractures	32	8.2
2018	Amputations	31	0.5
2018	Carpal tunnel syndrome	30	0.5
2018	Tendonitis	14	0.2
2018	Sprains, strains, tears	11	34
2018	Multiple traumatic injuries	9	2.8
2018	Soreness, pain	8	18.7
2018	Multiple injuries with sprains	7	1.5
2018	Bruises, contusions	5	8.8
2018	Heat (thermal) burns	5	1.5
2018	Cuts, lacerations	4	7.5
2018	Cuts, lacerations, punctures	4	9
2018	Chemical burns and corrosions	3	0.4
2018	Punctures (except gunshot wounds)	3	1.5
^[1]Data shown in columns correspond to nature of injury or illness based on the Occupational Injury and Illness Classification 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	Occupation code^[1]	Occupation title	Incidence rate per 10,000 full-time workers	Number of days away from work cases^[2]
2018	53-7062	Laborers and Freight, Stock, and Material Movers, Hand	264.1	68,470
2018	53-3032	Heavy and Tractor-Trailer Truck Drivers	262.1	49,700
2018	37-2011	Janitors and Cleaners, Except Maids and Housekeeping Cleaners	200.9	35,620
2018	31-1014	Nursing Assistants	272.4	33,430
2018	49-9071	Maintenance and Repair Workers, General	214.7	29,370
2018	41-2031	Retail Salespersons	74.3	26,760
2018	43-5081	Stock Clerks and Order Fillers	151.1	25,570
2018	33-3051	Police and Sheriff's Patrol Officers	371.4	25,410
2018	29-1141	Registered Nurses	93.6	24,080
2018	53-3033	Light Truck or Delivery Services Drivers	233	22,480
2018	47-2061	Construction Laborers	222.4	21,710
^[1]Standard Occupational Classification Manual, 2010, Office of Management and Budget. ^[2]Days-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 non-classifiable responses, data may not sum to the totals. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019

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	Occupation	Event or exposure^[1]	Incidence rate per 10,000 full-time equivalent workers
2014	Heavy and tractor-trailer truck drivers	Fall on same level	58.6
2015	Heavy and tractor-trailer truck drivers	Fall on same level	47.9
2016	Heavy and tractor-trailer truck drivers	Fall on same level	43.6
2017	Heavy and tractor-trailer truck drivers	Fall on same level	39.5
2018	Heavy and tractor-trailer truck drivers	Fall on same level	41.4
2014	Heavy and tractor-trailer truck drivers	Roadway incidents	42.8
2015	Heavy and tractor-trailer truck drivers	Roadway incidents	40.7
2016	Heavy and tractor-trailer truck drivers	Roadway incidents	35.3
2017	Heavy and tractor-trailer truck drivers	Roadway incidents	40.6
2018	Heavy and tractor-trailer truck drivers	Roadway incidents	34.4
2014	Heavy and tractor-trailer truck drivers	Struck by object	34.3
2015	Heavy and tractor-trailer truck drivers	Struck by object	29.6
2016	Heavy and tractor-trailer truck drivers	Struck by object	33.5
2017	Heavy and tractor-trailer truck drivers	Struck by object	31.8
2018	Heavy and tractor-trailer truck drivers	Struck by object	26.4
2014	Nursing assistants	Fall on same level	61.8
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 persons or animal	51.6
2015	Nursing assistants	Violence and other injuries by persons or animal	56.3
2016	Nursing assistants	Violence and other injuries by persons or animal	47.9
2017	Nursing assistants	Violence and other injuries by persons or animal	51.4
2018	Nursing assistants	Violence and other injuries by persons or animal	43.7
2014	Police and sheriff's patrol officers	Violence and other injuries by persons or animal	131.1
2015	Police and sheriff's patrol officers	Violence and other injuries by persons or animal	140.4
2016	Police and sheriff's patrol officers	Violence and other injuries by persons or animal	138.2
2017	Police and sheriff's patrol officers	Violence and other injuries by persons or animal	151.3
2018	Police and sheriff's patrol officers	Violence and other injuries by persons or animal	121.7
2014	Police and sheriff's patrol officers	Fall on same level	87.5
2015	Police and sheriff's patrol officers	Fall on same level	73.5
2016	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
2014	Laborers and freight, stock, and material movers	Struck by object	- ^[2]
2015	Laborers and freight, stock, and material movers	Struck by object	61.8
2016	Laborers and freight, stock, and material movers	Struck by object	66.9
2017	Laborers and freight, stock, and material movers	Struck by object	63.5
2018	Laborers and freight, stock, and material movers	Struck by object	57.0
2014	Laborers and freight, stock, and material movers	Overexertion in lifting or lowering	- ^[2]
2015	Laborers and freight, stock, and material movers	Overexertion in lifting or lowering	49.5
2016	Laborers and freight, stock, and material movers	Overexertion in lifting or lowering	56.3
2017	Laborers and freight, stock, and material movers	Overexertion in lifting or lowering	52.5
2018	Laborers and freight, stock, and material movers	Overexertion in lifting or lowering	45.6
2014	Laborers and freight, stock, and material movers	Fall on same level	- ^[2]
2015	Laborers and freight, stock, and material movers	Fall on same level	29.6
2016	Laborers and freight, stock, and material movers	Fall on same level	29.8
2017	Laborers and freight, stock, and material movers	Fall on same level	31.7
2018	Laborers and freight, stock, and material movers	Fall on same level	28.1
^[1]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 2019

Chart 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
Year	Occupation code^[1]	Occupation title	Private industry incidence rate^[2]	State government incidence rate	Local government incidence rate
2018	31-1013	Psychiatric aides	647.7	1475.7	-
2018	29-2053	Psychiatric technicians	619.4	800.2	999.6
2018	33-3051	Police and sheriff's patrol officers	549.8	423.9	448.7
2018	29-2041	Emergency medical technicians and paramedics	273.9	153.5	381.2
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
2018	29-2061	Licensed practical and licensed vocational nurses	85.6	427.7	133.9
^[1]Standard Occupational Classification Manual, 2010, Office of Management and Budget. ^[2]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 2019

Chart 18: Nonfatal occupational injury and illness incidence rates and number of cases of musculoskeletal disorders with days away from work, by ownership, 2018
Year	Ownership	Incidence rate per 10,000 full-time workers	Number of days away from work cases^[1]
2018	Private industry	27.2	272,780
2018	State government	33.5	13,210
2018	Local government	45.4	49,080
^[1]Days-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 non-classifiable 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	Occupation code^[1]	Occupation title	Incidence rate per 10,000 full-time workers	Number of days away from work cases^[2]
2018	33-2011	Firefighters	191.1	7,170
2018	29-2041	Emergency Medical Technicians and Paramedics	174.7	4,510
2018	43-4181	Reservation and Transportation Ticket Agents and Travel Clerks	146.4	1,740
2018	31-1014	Nursing Assistants	140.5	17,240
2018	53-3021	Bus Drivers, Transit and Intercity	123.7	1,790
2018	49-2022	Telecommunications Equipment Installers and Repairers, Except Line Installers	123.2	2,800
2018	49-9052	Telecommunications Line Installers and Repairers	117	1,450
2018	53-7062	Laborers and Freight, Stock, and Material Movers, Hand	100	25,930
2018	53-3033	Light Truck or Delivery Services Drivers	87.4	8,430
2018	37-2012	Maids and Housekeeping Cleaners	82.4	6,240
2018	Total	All workers with musculoskeletal disorders	29.1	335,070
^[1]Standard Occupational Classification Manual, 2010, Office of Management and Budget. ^[2]Days-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 non-classifiable responses, data may not sum to the totals. Source: U.S. Bureau of Labor Statistics, U.S. Department of Labor, November 2019

Chart 20: Number of nonfatal occupational injuries and illnesses with days away from work by medical treatment facility visits, private industry sector, 2018
Private industry sector^[1]	Total medical treatment facility visits^[2]	Emergency room visits only	In-patient overnight hospitalizations (with or without 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 services	18,020	15,830	2,190
Professional, scientific, and technical services	8,360	7,150	1,210
Agriculture, forestry, fishing and hunting	6,770	5,560	1,210
Arts, 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 enterprises	1,620	1,360	260
Utilities	1,590	1,410	190
Mining	1,050	830	220
^[1]North American Industry Classification System -- United States, 2012 ^[2] 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. 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
Private industry sector^[1]		Incidence rate per 10,000 full-time workers		Number of cases^[2]		Median days away from work^[3]
	Emergency room visit only	"In-patient overnight hospitalization (with or without ER visit)"	Emergency room visit only	"In-patient overnight hospitalization (with or without ER visit)"	Emergency room visit only	"In-patient overnight hospitalization (with or without ER visit)"
	Transportation and warehousing	53.3	7.2	26,490	3,590	17	71
Construction	43.5	10.5	29,210	7,040	8	55
Health care and social assistance	39.1	2.3	57,390	3,360	6	30
Accommodation and food services	34.8	2.7	30,860	2,380	5	31
Manufacturing	33.2	5.4	41,890	6,830	7	48
Retail trade	27.7	3.2	32,660	3,720	5	42
^[1]North American Industry Classification System -- United States, 2012 ^[2] 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. ^[3]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 2019

Last Modified Date: November 7, 2019