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Injuries, Illnesses, and Fatalities
Chart 1: Number and incidence rates of injuries and illnesses with days away from work, by ownership, 2015
YearOwnershipIncidence rate per 10,000 full-time workersNumber of days away from work cases(1)

2015

All ownerships104.01,153,490

2015

Private industry93.9902,160

2015

State government149.259,590

2015

Local government177.5191,750

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 2: Number of injuries and illnesses with days away from work, private industry, 2011-15
YearIndustryNumber of days away from work cases(1)

2015

Total902,160

2015

Goods-producing226,320

2015

Service-providing675,840

2014

Total916,440

2014

Goods-producing225,180

2014

Service-providing691,260

2013

Total917,090

2013

Goods-producing229,530

2013

Service-providing687,560

2012

Total918,720

2012

Goods-producing225,830

2012

Service-providing692,890

2011

Total918,140

2011

Goods-producing226,930

2011

Service-providing691,210

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 3: Incidence rate and number of injuries and illnesses for selected occupations with 20,000 cases or more, all ownerships, 2015
YearOccupation code(1)Occupation titleIncidence rate per
10,000 full-time workers
Number of days away from work cases(2)

2015

291141Registered nurses118.625,340

2015

311014Nursing assistants348.537,370

2015

333051Police and sheriff's patrol officers497.729,670

2015

372011Janitors and cleaners, except maids and housekeeping cleaners277.442,740

2015

412031Retail salespersons84.427,840

2015

435081Stock clerks and order fillers154.421,420

2015

472061Construction laborers265.319,960

2015

499071General maintenance and repair workers262.430,020

2015

533032Heavy and tractor-trailer truck drivers307.549,260

2015

533033Light truck or delivery services drivers314.024,780

2015

537062Laborers and freight, stock, and material movers297.859,010

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 4: Incidence rate and number of injuries and illnesses for selected occupations with high incidence rates, all ownerships, 2015
YearOccupation code(1)Occupation titleIncidence rate per
10,000 full-time workers
Number of days away from work cases(2)

2015

299041Emergency medical technicians and paramedics313.56,670

2015

311014Nursing assistants348.537,370

2015

332011Firefighters397.513,280

2015

333012Correctional officers and jailers420.216,080

2015

333051Police and sheriff's patrol officers497.729,670

2015

352021Food preparation workers290.815,860

2015

372011Janitors and cleaners, except maids and housekeeping cleaners277.442,740

2015

392021Nonfarm animal caretakers278.03,320

2015

472211Sheet metal workers289.93,360

2015

499021Heating, air conditioning, and refrigeration mechanics and installers319.57,880

2015

533032Heavy and tractor-trailer truck drivers307.549,260

2015

533033Light truck or delivery services drivers314.024,780

2015

537062Laborers and freight, stock, and material movers297.859,010

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 5: Rates of injuries and illnesses for selected healthcare and protective service occupations, by ownership, 2015
YearOccupation code(1)Occupation titlePrivate industry incidence rate(2)State government incidence rateLocal government incidence rate

2015

291141Registered nurses111.5233.2109.8

2015

292041Emergency medical technicians and paramedics291.0-387.5

2015

292053Psychiatric technicians546.1722.5-

2015

292061Licensed practical and licensed vocational nurses114.3385.8136.4

2015

311013Psychiatric aides737.91306.0-

2015

311014Nursing assistants327.8737.9494.5

2015

332011Firefighters143.0624.4422.2

2015

333051Police and sheriff's patrol officers401.1393.9530.2

Footnotes:
(1) Standard Occupational Classification Manual, 2010, Office of Management and Budget.
(2) Incidence rate per 10,000 full-time workers

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 6: Distribution and incidence rates of injuries and illnesses with days away from work, by gender and ownership, 2015
YearGenderOwnershipIncidence rate per
10,000 full-time workers
Number of days away
from work cases(1)
Percentage of cases within ownership(2)

2015

MalePrivate industry100.5556,37062%

2015

MaleState government188.031,42053%

2015

MaleLocal government237.9114,60060%

2015

FemalePrivate industry84.8341,13038%

2015

FemaleState government121.128,06047%

2015

FemaleLocal government128.776,78040%

Footnotes:
(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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 7: Median days away from work and incidence rate due to injuries and illnesses by age of worker, all ownerships, 2015
YearAge groupMedian days away from work(1) Incidence rate per 10,000 full-time workers

2015

16 to 19 years4110.5

2015

20 to 24 years498.3

2015

25 to 34 years692.9

2015

35 to 44 years9102.6

2015

45 to 54 years12112.8

2015

55 to 64 years13115.8

2015

65 years and older1489.2

2015

Total8104.0

Footnotes:
(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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 8: Injury and illness topology.
Each injury or illness is described from four viewpoints.

See the table below for a description of the following nonfatal work injury case (1): A nursing aide strains her back from overexertion while lifting a patient.
Nature of disabling conditionPart of body affectedEvent or exposureSource of injury or illness
strainsbackoverexertion while liftingpatient

Footnotes:
(1) Case narratives are coded using the Occupational Injury and Illness Classification System (OIICS) version 2.01 developed by the Bureau of Labor Statistics.

Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 9: Distribution of injuiries and illnesses by nature of injury or illness, all ownerships, 2015
YearNature of injury or illness(1)Number of days away from work cases(2)Percentage of days away from work cases

2015

Bruises, contusions100,4808.7%

2015

Cuts, lacerations, punctures106,4109.2%

2015

Fractures98,5308.5%

2015

Soreness, pain184,40016.0%

2015

Sprains, strains, tears421,61036.6%

2015

All other natures242,08021.0%

Footnotes:
(1) Data shown in columns correspond to Natures based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 10: Median days away from work and incidence rate due to injuries and illnesses by nature of injury or illness, all ownerships, 2015
YearNature of injury or illness(1)Median days away from work(2)Incidence rate per 10,000 full-time workers

2015

Fractures318.9

2015

Multiple natures with fractures310.4

2015

Carpal tunnel syndrome280.5

2015

Amputations220.5

2015

Tendonitis140.2

2015

Sprains, strains, tears1038.0

2015

Multiple traumatic injuries102.8

2015

Multiple natures with sprains91.3

2015

Soreness, pain816.6

2015

Bruises, contusions59.1

2015

Heat (thermal) burns51.6

2015

Cuts, lacerations48.1

2015

Cuts, lacerations, punctures49.6

2015

Chemical burns and corrosions30.3

2015

Punctures (except gunshot wounds)31.5

Footnotes:
(1) Data shown in columns correspond to Natures based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(2) 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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 11: Distribution of injuiries and illnesses by part of body, all ownerships, 2015
YearPart of body(1)Number of days away from work cases(2)Percentage of days away from work cases

2015

Upper extremities358,89031.1%

2015

Lower extremities266,47023.1%

2015

Back191,45016.6%

2015

Multiple parts of body127,18011.0%

2015

All other parts of body115,14010.0%

2015

Head94,3608.2%

Footnotes:
(1) Data shown in columns correspond to the part of body based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 12: Median days away from work and incidence rate due to injuries and illnesses by part of body, all ownerships, 2015
YearPart of body(1)Median days away from work(2)Incidence rate per 10,000 full-time workers

2015

Shoulder(s)238.4

2015

Knee(s)169.1

2015

Wrist(s)143.8

2015

Lower extremities1224.0

2015

Arm(s)105.1

2015

Upper extremities1032.4

2015

Foot (feet)104.8

2015

Ankle(s)95.4

2015

Neck81.4

2015

Trunk823.3

2015

Back717.3

2015

Toe(s), toenail(s)71.1

2015

Hand(s)513.0

2015

Finger(s), fingernail(s)58.4

2015

Hand(s), except finger(s)40.4

2015

Head38.5

2015

Eye(s)22.3

Footnotes:
(1) Data shown in columns correspond to part of body based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(2) 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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 13: Distribution of injuiries and illnesses by source, all ownerships, 2015
YearSource(1)Number of days away from work cases(2)Percentage of days away from work cases

2015

Persons, plants, animals and minerals324,42028.1%

2015

Structures and surfaces242,56021.0%

2015

Containers, furniture, and fixtures167,78014.5%

2015

All other sources121,51010.5%

2015

Vehicles116,43010.1%

2015

Tools, instruments and equipment99,1308.6%

2015

Parts and materials81,6707.1%

Footnotes:
(1) Data shown in columns correspond to source based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 14: Median days away from work and incidence rate due to injuries and illnesses by source, all ownerships, 2015
YearSource(1)Median days away from work(2)Incidence rate per 10,000 full-time workers

2015

Ladder212.2

2015

Trucks142.5

2015

Person, injured or ill worker1216.1

2015

Worker motion or position1215.1

2015

Floors, walkways, ground surfaces1118.2

2015

Vehicles1010.5

2015

Containers910.6

2015

Parts and materials97.4

2015

Cart, dolly, hand truck—nonpowered91.4

2015

Furniture, fixtures74.4

2015

Machinery75.4

2015

Person, other than injured or ill workers710.0

2015

Patient75.1

2015

Handtools54.7

2015

Chemical, chemical products31.3

Footnotes:
(1) Data shown in columns correspond to source based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(2) 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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 15: Distribution of injuries and illnesses by event or exposure, all ownerships, 2015
YearEvent or exposure(1)Number of days away
from work cases(2)
Percentage of days away
from work cases

2015

Overexertion and bodily reaction376,19032.6%

2015

Falls, slips, trips309,06026.8%

2015

Contact with object, equipment269,91023.4%

2015

Violence and other injuries by persons or animals75,7206.6%

2015

Transportation incidents63,2105.5%

2015

All other events59,4005.1%

Footnotes:
(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) Days-away-from-work cases include those that resulted in days away from work, some of which also included job transfer or restriction.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 16: Median days away from work and incidence rate due to injuries and illnesses by event or exposure, all ownerships, 2015
YearEvent or exposure (1)Median days away
from work(2)
Incidence rate per 10,000
full-time workers

2015

Repetitive motion involving microtasks222.2

2015

Fall to lower level185.5

2015

Falls, slips, trips1227.9

2015

Overexertion and bodily reaction1233.9

2015

Slips, trips without fall114.1

2015

Overexertion in lifting or lowering1110.2

2015

Transportation incidents105.7

2015

Fall on same level1017.8

2015

Caught in or compressed by objects or equipment103.3

2015

Fires and explosions90.2

2015

Intentional injury by other person73.1

2015

Struck by object or equipment514.2

2015

Struck against object or equipment55.3

2015

Contact with object, equipment524.3

2015

Exposure to harmful substances or environments44.7

Footnotes:
(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) 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.

Note: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 17: Falls on the same level by distribution of selected secondary source, all ownerships, 2015
YearSecondary Source of the injury or illness(1)Number of days away from work cases(2)

2015

Ice, sleet, snow30,050

2015

Liquids, nonchemical17,310

2015

Furniture and fixtures7,250

2015

Person other than injured or ill worker3,610

2015

Floors, walkways, ground surfaces3,370

2015

Power cords, electrical cords or extension cords2,560

2015

Animal and plant byproducts2,160

2015

Plant and industrial vehicles, nonpowered1,690

2015

Machinery1,340

2015

Ladders360

2015

Secondary source not specified100,620

2015

Total number of falls on the same level197,260

Footnotes:
(1) Data shown in columns correspond to secondary source based on the Occupational Injury and Illness Classification System 2.01 developed by the Bureau of Labor Statistics.
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 18: Rate and number of musculoskeletal disorders with days away from work, by ownership, 2015
YearOwnershipIncidence rate per 10,000 full-time workersNumber of days away from work cases(1)

2015

Private industry29.8286,350

2015

State government41.016,380

2015

Local government50.254,190

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.



Chart 19: Incidence rate and number of injuries and illnesses due to musculoskeletal disorders by selected occupations, all ownerships, 2015
YearOccupation code(1)Occupation titleIncidence rate per
10,000 full-time workers
Number of days
away from
work cases(2)

2015

299041Emergency medical technicians and paramedics187.43,980

2015

311014Nursing assistants180.519,360

2015

332011Firefighters168.55,630

2015

533033Light truck or delivery services drivers135.910,730

2015

392021Nonfarm animal caretakers116.31,390

2015

537062Laborers and freight, stock, and material movers, hand111.021,990

2015

372011Janitors and cleaners, except maids and housekeeping cleaners102.615,810

2015

372012Maids and housekeeping cleaners98.06,680

2015

533032Heavy and tractor-trailer truck drivers95.615,320

2015

493031Bus and truck mechanics and diesel engine specialists90.72,160

2015

All workers with musculoskeletal disorders32.0356,910

Footnotes:
(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: Dash indicates data do not meet publication guidelines. Because of rounding and data exclusion of nonclassifiable responses, data may not sum to the totals.
Source: U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses, in cooperation with participating state agencies.

 

Last Modified Date: October 20, 2017