{"content_id":"wchhympcm7","slug":"fall-injury-hospitalization-rates-factbook-2026","locale":"en","schema_type":"Article","category":"dataset_notes","category_name":"Dataset Notes","title":"Fall Hospitalization Rates Up 56.1%: What It Means","summary":"Fall hospitalization rates rose from 736 to 1,149 per 100,000 people between 2014 and 2024. Emergency department shares and injury statistics for older adults must be interpreted with their reference years and denominators kept distinct.","sponsorship_disclosure":null,"affiliate_disclosure":null,"commerce_disclosure":null,"author":{"name":"Injoys Editorial Team","url":"https://injoys.com/ko/about"},"key_points":["Fall hospitalization rates increased by 56.1% between 2014 and 2024.","Hospitalization rates for transport accidents decreased by 41.7% over the same period.","The proportion of emergency department injury patients whose injuries were caused by falls rose by 10.4 percentage points between 2015 and 2025.","The hospitalization rate of 7,922 for people aged at least 75 is a measure covering all injuries per 100,000 people in that age group in 2024.","The fatality rate among patients with severe trauma cannot be interpreted as the probability of death across all falls."],"content_markdown":"The hospitalization rate for falls **increased by 56.1%** from 2014 to 2024. The 2024 figure was 1,149 people per 100,000 population. This is a change in a population-based hospitalization indicator. Its denominator differs from that of the 40.0% emergency department share in 2025.\n\nThe figures are based on the publication announcement released by the Korea Disease Control and Prevention Agency on October 29, 2026.\n\n## Reference Years for Injury Incidence 2026\n\nThe 2026 in “Injury Incidence INJURY FACTBOOK 2026” is the publication year. Not every indicator counts accidents that occurred in 2026. Hospitalization and emergency department statistics must first be distinguished by their analysis periods.\n\n| Data source | Analysis period in the press release | Main information covered |\n| --- | --- | --- |\n| Hospital Discharge In-depth Injury Survey | 2014-2024 | Injury hospitalization rates and changes by cause |\n| Emergency Department-based In-depth Injury Survey | 2015-2025 | Distribution of emergency department injury patients by cause |\n| Community-based Severe Trauma Survey | 2015-2024 | Disability and death among severe trauma patients |\n| Korea National Health and Nutrition Examination Survey | 2014-2024 | Experiences of accidents or poisoning that required treatment |\n| Cause-of-Death Statistics | 2014-2025 | Deaths caused by injuries |\n\nInjuries are health problems caused by external factors such as accidents or poisoning. Falls are one cause of injury. Figures for all injuries must not be cited as figures for falls.\n\nThe data sources and analysis periods are listed in Table 1 of the [Korea Disease Control and Prevention Agency’s publication announcement](https://www.kdca.go.kr/bbs/kdca/42/310523/download.do).\n\n## Comparing Hospitalization Rates for Falls and Transport Accidents\n\nThe hospitalization rate for falls rose, while the rate for transport accidents fell. All figures below are hospitalization rates per 100,000 population. This table does not compare the actual numbers of patients nationwide.\n\n| Cause of injury | 2014 hospitalization rate | 2024 hospitalization rate | Difference in hospitalization rate | Percentage change from 2014 |\n| --- | --- | --- | --- | --- |\n| Falls | 736 people per 100,000 population | 1,149 people per 100,000 population | Increase of 413 people per 100,000 population | 56.1% increase |\n| Transport accidents | 731 people per 100,000 population | 426 people per 100,000 population | Decrease of 305 people per 100,000 population | 41.7% decrease |\n\nFigure 1 of the Korea Disease Control and Prevention Agency’s publication announcement defines injury hospitalizations as follows.\n\n\u003e Patients hospitalized primarily because of an injury\n\nThe hospitalization rate puts the scale of hospitalizations on a common population basis. The 56.1% figure must therefore not be reported as the percentage increase in the actual number of patients. Changes in patient numbers require a separate comparison of the patient counts for each year.\n\n### Examples of Calculating Changes in Hospitalization Rates\n\nThe 56.1% figure is a relative increase calculated using the 2014 hospitalization rate as the baseline. Using the displayed values gives the calculations below. The decimal values are the rounded results of these calculations.\n\n| Purpose of calculation | Formula | Interpretation |\n| --- | --- | --- |\n| Percentage increase in the hospitalization rate for falls | (1,149 - 736) ÷ 736 × 100 ≈ 56.1% | Percentage increase from 2014 to 2024 |\n| Percentage decrease in the hospitalization rate for transport accidents | (731 - 426) ÷ 731 × 100 ≈ 41.7% | Percentage decrease from 2014 to 2024 |\n| Ratio of the hospitalization rates for the two causes in 2024 | 1,149 ÷ 426 ≈ 2.70 | The hospitalization rate for falls was about 2.70 times the rate for transport accidents |\n\nThe figure of about 2.70 times compares hospitalization rates for the two causes in the same year. It does not mean that the hospitalization rate for falls increased 2.70-fold over time. Nor does it compare an individual’s probability of experiencing either type of accident.\n\n## Emergency Department Shares and Percentage Points\n\nThe share of falls among emergency department injury patients rose by 10.4 percentage points. The comparison period is 2015-2025. The denominator is the emergency department injury patients counted in the survey.\n\n| Cause of injury | 2015 share | 2025 share | Difference in share |\n| --- | --- | --- | --- |\n| Falls | 29.6% | 40.0% | Increase of 10.4 percentage points |\n| Transport accidents | 17.3% | 15.5% | Decrease of 1.8 percentage points |\n\nA percentage-point difference is found by subtracting one percentage from another. A relative increase is that difference divided by the earlier percentage. Even for the same change, the two calculations give different answers.\n\n| Expression | Calculation using the share of falls | Result |\n| --- | --- | --- |\n| Increase in share | 40.0% - 29.6% | 10.4 percentage points |\n| Relative increase in share | (40.0 - 29.6) ÷ 29.6 × 100 | About 35.1% |\n\nAbout 35.1% is the relative change calculated from the displayed shares. It does not mean that the number of patients with fall injuries increased by 35.1%. To determine the change in patient numbers, the total number of patients in both years is also needed.\n\n## What the Injury Hospitalization Rate for People Aged at Least 75 Means\n\nThe figures for people aged at least 75 are hospitalization rates for all injuries, not just falls. The denominator is also the population in that age group, not the total population. The age criterion and the scope of injuries must both be stated.\n\n| Indicator | 2014 | 2024 |\n| --- | --- | --- |\n| Hospitalization rate for all injuries among people aged at least 75 | 5,786 people per 100,000 population in that age group | 7,922 people per 100,000 population in that age group |\n\nThe difference between the two values is 2,136 people per 100,000 population in that age group. The increase calculated from the displayed values is about 36.9%. This figure must not be interpreted as an individual’s probability of falling.\n\nIn particular, citing 7,922 as the number of patients with fall injuries changes the scope of injuries being described. Converting this into an individual probability also requires checking how people are counted. How repeated hospitalizations of the same person are handled must be checked in the survey description accompanying the source data.\n\n## Comparing Denominators for Deaths, Hospitalizations, Emergency Department Visits, and Severe Trauma\n\nThese statistics describe different populations and cannot substitute for one another. The denominator is the population used as the basis for calculating a proportion or rate. Even indicators with similar names answer different questions if their denominators differ.\n\n| Indicator | Reference population or denominator | Question answered |\n| --- | --- | --- |\n| Number of people who experienced injuries | People who experienced accidents or poisoning that meet the survey definition | How many people experienced injuries that required treatment? |\n| Injury hospitalization rate | Population for the relevant year, age group, or other category | How many injury hospitalizations occurred relative to the population size? |\n| Share of emergency department injuries by cause | Emergency department injury patients included in the survey | What share of injury patients is accounted for by a particular cause? |\n| Injury mortality rate | Population for the relevant year, age group, or other category | How many injury deaths occurred relative to the population size? |\n| Severe trauma case fatality rate | Severe trauma patients within the defined scope | What share of severe trauma patients died? |\n\nThe number of people who experienced injuries in 2024 was reported as about 3.9 million. This is not the number of people who experienced falls alone. Nor is it the same statistic as the number of hospitalized patients or emergency department patients.\n\nThe same person may be included in more than one group. The numbers of people who experienced injuries, hospitalized patients, and deaths must therefore not be added together to calculate a total number of victims. It is also inappropriate to divide counts from different sources to produce a probability of hospitalization.\n\nThe severe trauma case fatality rate cannot be applied to falls in general. This indicator describes outcomes among severe trauma patients. This distinction must also be maintained when interpreting the burden of injuries among older people.\n\n## Common Mistakes When Comparing Two Points in Time\n\nThe first and last values alone cannot establish that an indicator moved in the same direction every year. The difference between 2014 and 2024 is the net change between two points in time. Annual data must be checked to determine whether there were increases and decreases in between.\n\n| Common interpretation | What to check |\n| --- | --- |\n| It increased by 56.1% every year for 10 years | The 56.1% figure is the overall percentage change from 2014 to 2024 |\n| It increased every single year after 2014 | Hospitalization rates for the intervening years must be checked |\n| It increased by 56.1% because of population aging | Determining the cause requires further analysis of age composition and age-specific indicators |\n| The higher share in 2025 means that patient numbers increased | Changes in the denominator, the total number of emergency department injury patients, must also be checked |\n| The increase in falls caused the decrease in transport accidents | Opposite movements in the two indicators alone cannot establish causation |\n\nChanges in population composition can also affect how the overall hospitalization rate is interpreted. To examine the effect of age composition separately, check whether the rates have been age-standardized. Age standardization is a method of putting the age composition of the populations being compared on the same basis.\n\n## Information to Retain When Reusing Statistics\n\nWhen reusing a figure, retain its reference year, unit, and denominator along with the value. Providing only the publication year may cause historical statistics to be read as current figures. Below is an example of how to record the 2024 hospitalization rate for falls.\n\n| Item to record | Example entry |\n| --- | --- |\n| Indicator name | Hospitalization rate for falls |\n| Value | 1,149 |\n| Unit | People per 100,000 population |\n| Statistical reference year | 2024 |\n| Scope of injuries | Falls |\n| Data source | Hospital Discharge In-depth Injury Survey |\n| Document containing the figure | Injury Incidence INJURY FACTBOOK 2026 |\n| Publication date | October 29, 2026 |\n\nWhen recording 56.1%, retain the comparison period as well. Identify the figure of about 2.70 times as a value calculated by dividing the published hospitalization rates. For calculated values, include the original figures used and the rounding rule.\n\n## Where to Find the Official PDF and Excel Files\n\nThe publication announcement states that PDF and Excel files are available on the National Injury Information Portal. They can be found under the Statistical Publications menu in the Resources section. The PDF attached to the press release must be distinguished from the complete statistical publication files.\n\n1. Visit the Korea Disease Control and Prevention Agency’s National Injury Information Portal.\n2. Open the Statistical Publications menu under Resources.\n3. Find “Injury Incidence INJURY FACTBOOK 2026.”\n4. Check the units, notes, and data sources for the relevant table in the PDF and Excel files.\n\nThis path is specified on the last page of the [Korea Disease Control and Prevention Agency’s publication announcement](https://www.kdca.go.kr/bbs/kdca/42/310523/download.do). If the menus change, search by the document title. Check the statistical table notes as well for the survey scope and calculation methods.\n\n## Frequently Asked Questions\n\n### Why use the 2024 hospitalization rate in a 2026 statistical publication?\n\nBecause 2026 is the publication year. The hospitalization rate analysis uses data through 2024. The shares of emergency department injury patients were analyzed through 2025.\n\n### Does the hospitalization rate of 1,149 for falls represent the nationwide patient count?\n\nIt is a hospitalization rate per 100,000 population, not the nationwide patient count. The reference year is 2024. The actual number of patients must be checked separately under the patient count item.\n\n### Is the 40.0% emergency department share the population’s probability of falling?\n\nIt is not the population’s probability of falling. It is the share among emergency department injury patients included in the 2025 survey. Replacing the denominator with the entire population changes its meaning.\n\n### Can the severe trauma case fatality rate among older people be applied to all falls?\n\nIt cannot be applied to all falls. It is an indicator for a specific group: severe trauma patients. It must be distinguished from the probability of death for falls in general.","content_html":"\u003cp\u003eThe hospitalization rate for falls \u003cstrong\u003eincreased by 56.1%\u003c/strong\u003e from 2014 to 2024. The 2024 figure was 1,149 people per 100,000 population. This is a change in a population-based hospitalization indicator. Its denominator differs from that of the 40.0% emergency department share in 2025.\u003c/p\u003e\n\u003cp\u003eThe figures are based on the publication announcement released by the Korea Disease Control and Prevention Agency on October 29, 2026.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#reference-years-for-injury-incidence-2026\" class=\"anchor\" id=\"reference-years-for-injury-incidence-2026\"\u003e\u003c/a\u003eReference Years for Injury Incidence 2026\u003c/h2\u003e\n\u003cp\u003eThe 2026 in “Injury Incidence INJURY FACTBOOK 2026” is the publication year. Not every indicator counts accidents that occurred in 2026. Hospitalization and emergency department statistics must first be distinguished by their analysis periods.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eData source\u003c/th\u003e\n\u003cth\u003eAnalysis period in the press release\u003c/th\u003e\n\u003cth\u003eMain information covered\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Data source\"\u003eHospital Discharge In-depth Injury Survey\u003c/td\u003e\n\u003ctd data-label=\"Analysis period in the press release\"\u003e2014-2024\u003c/td\u003e\n\u003ctd data-label=\"Main information covered\"\u003eInjury hospitalization rates and changes by cause\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Data source\"\u003eEmergency Department-based In-depth Injury Survey\u003c/td\u003e\n\u003ctd data-label=\"Analysis period in the press release\"\u003e2015-2025\u003c/td\u003e\n\u003ctd data-label=\"Main information covered\"\u003eDistribution of emergency department injury patients by cause\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Data source\"\u003eCommunity-based Severe Trauma Survey\u003c/td\u003e\n\u003ctd data-label=\"Analysis period in the press release\"\u003e2015-2024\u003c/td\u003e\n\u003ctd data-label=\"Main information covered\"\u003eDisability and death among severe trauma patients\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Data source\"\u003eKorea National Health and Nutrition Examination Survey\u003c/td\u003e\n\u003ctd data-label=\"Analysis period in the press release\"\u003e2014-2024\u003c/td\u003e\n\u003ctd data-label=\"Main information covered\"\u003eExperiences of accidents or poisoning that required treatment\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Data source\"\u003eCause-of-Death Statistics\u003c/td\u003e\n\u003ctd data-label=\"Analysis period in the press release\"\u003e2014-2025\u003c/td\u003e\n\u003ctd data-label=\"Main information covered\"\u003eDeaths caused by injuries\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eInjuries are health problems caused by external factors such as accidents or poisoning. Falls are one cause of injury. Figures for all injuries must not be cited as figures for falls.\u003c/p\u003e\n\u003cp\u003eThe data sources and analysis periods are listed in Table 1 of the \u003ca href=\"https://www.kdca.go.kr/bbs/kdca/42/310523/download.do\"\u003eKorea Disease Control and Prevention Agency’s publication announcement\u003c/a\u003e.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#comparing-hospitalization-rates-for-falls-and-transport-accidents\" class=\"anchor\" id=\"comparing-hospitalization-rates-for-falls-and-transport-accidents\"\u003e\u003c/a\u003eComparing Hospitalization Rates for Falls and Transport Accidents\u003c/h2\u003e\n\u003cp\u003eThe hospitalization rate for falls rose, while the rate for transport accidents fell. All figures below are hospitalization rates per 100,000 population. This table does not compare the actual numbers of patients nationwide.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCause of injury\u003c/th\u003e\n\u003cth\u003e2014 hospitalization rate\u003c/th\u003e\n\u003cth\u003e2024 hospitalization rate\u003c/th\u003e\n\u003cth\u003eDifference in hospitalization rate\u003c/th\u003e\n\u003cth\u003ePercentage change from 2014\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Cause of injury\"\u003eFalls\u003c/td\u003e\n\u003ctd data-label=\"2014 hospitalization rate\"\u003e736 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"2024 hospitalization rate\"\u003e1,149 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"Difference in hospitalization rate\"\u003eIncrease of 413 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"Percentage change from 2014\"\u003e56.1% increase\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Cause of injury\"\u003eTransport accidents\u003c/td\u003e\n\u003ctd data-label=\"2014 hospitalization rate\"\u003e731 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"2024 hospitalization rate\"\u003e426 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"Difference in hospitalization rate\"\u003eDecrease of 305 people per 100,000 population\u003c/td\u003e\n\u003ctd data-label=\"Percentage change from 2014\"\u003e41.7% decrease\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eFigure 1 of the Korea Disease Control and Prevention Agency’s publication announcement defines injury hospitalizations as follows.\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003ePatients hospitalized primarily because of an injury\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp\u003eThe hospitalization rate puts the scale of hospitalizations on a common population basis. The 56.1% figure must therefore not be reported as the percentage increase in the actual number of patients. Changes in patient numbers require a separate comparison of the patient counts for each year.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#examples-of-calculating-changes-in-hospitalization-rates\" class=\"anchor\" id=\"examples-of-calculating-changes-in-hospitalization-rates\"\u003e\u003c/a\u003eExamples of Calculating Changes in Hospitalization Rates\u003c/h3\u003e\n\u003cp\u003eThe 56.1% figure is a relative increase calculated using the 2014 hospitalization rate as the baseline. Using the displayed values gives the calculations below. The decimal values are the rounded results of these calculations.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003ePurpose of calculation\u003c/th\u003e\n\u003cth\u003eFormula\u003c/th\u003e\n\u003cth\u003eInterpretation\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Purpose of calculation\"\u003ePercentage increase in the hospitalization rate for falls\u003c/td\u003e\n\u003ctd data-label=\"Formula\"\u003e(1,149 - 736) ÷ 736 × 100 ≈ 56.1%\u003c/td\u003e\n\u003ctd data-label=\"Interpretation\"\u003ePercentage increase from 2014 to 2024\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Purpose of calculation\"\u003ePercentage decrease in the hospitalization rate for transport accidents\u003c/td\u003e\n\u003ctd data-label=\"Formula\"\u003e(731 - 426) ÷ 731 × 100 ≈ 41.7%\u003c/td\u003e\n\u003ctd data-label=\"Interpretation\"\u003ePercentage decrease from 2014 to 2024\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Purpose of calculation\"\u003eRatio of the hospitalization rates for the two causes in 2024\u003c/td\u003e\n\u003ctd data-label=\"Formula\"\u003e1,149 ÷ 426 ≈ 2.70\u003c/td\u003e\n\u003ctd data-label=\"Interpretation\"\u003eThe hospitalization rate for falls was about 2.70 times the rate for transport accidents\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eThe figure of about 2.70 times compares hospitalization rates for the two causes in the same year. It does not mean that the hospitalization rate for falls increased 2.70-fold over time. Nor does it compare an individual’s probability of experiencing either type of accident.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#emergency-department-shares-and-percentage-points\" class=\"anchor\" id=\"emergency-department-shares-and-percentage-points\"\u003e\u003c/a\u003eEmergency Department Shares and Percentage Points\u003c/h2\u003e\n\u003cp\u003eThe share of falls among emergency department injury patients rose by 10.4 percentage points. The comparison period is 2015-2025. The denominator is the emergency department injury patients counted in the survey.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCause of injury\u003c/th\u003e\n\u003cth\u003e2015 share\u003c/th\u003e\n\u003cth\u003e2025 share\u003c/th\u003e\n\u003cth\u003eDifference in share\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Cause of injury\"\u003eFalls\u003c/td\u003e\n\u003ctd data-label=\"2015 share\"\u003e29.6%\u003c/td\u003e\n\u003ctd data-label=\"2025 share\"\u003e40.0%\u003c/td\u003e\n\u003ctd data-label=\"Difference in share\"\u003eIncrease of 10.4 percentage points\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Cause of injury\"\u003eTransport accidents\u003c/td\u003e\n\u003ctd data-label=\"2015 share\"\u003e17.3%\u003c/td\u003e\n\u003ctd data-label=\"2025 share\"\u003e15.5%\u003c/td\u003e\n\u003ctd data-label=\"Difference in share\"\u003eDecrease of 1.8 percentage points\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eA percentage-point difference is found by subtracting one percentage from another. A relative increase is that difference divided by the earlier percentage. Even for the same change, the two calculations give different answers.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eExpression\u003c/th\u003e\n\u003cth\u003eCalculation using the share of falls\u003c/th\u003e\n\u003cth\u003eResult\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Expression\"\u003eIncrease in share\u003c/td\u003e\n\u003ctd data-label=\"Calculation using the share of falls\"\u003e40.0% - 29.6%\u003c/td\u003e\n\u003ctd data-label=\"Result\"\u003e10.4 percentage points\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Expression\"\u003eRelative increase in share\u003c/td\u003e\n\u003ctd data-label=\"Calculation using the share of falls\"\u003e(40.0 - 29.6) ÷ 29.6 × 100\u003c/td\u003e\n\u003ctd data-label=\"Result\"\u003eAbout 35.1%\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eAbout 35.1% is the relative change calculated from the displayed shares. It does not mean that the number of patients with fall injuries increased by 35.1%. To determine the change in patient numbers, the total number of patients in both years is also needed.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#what-the-injury-hospitalization-rate-for-people-aged-at-least-75-means\" class=\"anchor\" id=\"what-the-injury-hospitalization-rate-for-people-aged-at-least-75-means\"\u003e\u003c/a\u003eWhat the Injury Hospitalization Rate for People Aged at Least 75 Means\u003c/h2\u003e\n\u003cp\u003eThe figures for people aged at least 75 are hospitalization rates for all injuries, not just falls. The denominator is also the population in that age group, not the total population. The age criterion and the scope of injuries must both be stated.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eIndicator\u003c/th\u003e\n\u003cth\u003e2014\u003c/th\u003e\n\u003cth\u003e2024\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eHospitalization rate for all injuries among people aged at least 75\u003c/td\u003e\n\u003ctd data-label=\"2014\"\u003e5,786 people per 100,000 population in that age group\u003c/td\u003e\n\u003ctd data-label=\"2024\"\u003e7,922 people per 100,000 population in that age group\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eThe difference between the two values is 2,136 people per 100,000 population in that age group. The increase calculated from the displayed values is about 36.9%. This figure must not be interpreted as an individual’s probability of falling.\u003c/p\u003e\n\u003cp\u003eIn particular, citing 7,922 as the number of patients with fall injuries changes the scope of injuries being described. Converting this into an individual probability also requires checking how people are counted. How repeated hospitalizations of the same person are handled must be checked in the survey description accompanying the source data.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#comparing-denominators-for-deaths-hospitalizations-emergency-department-visits-and-severe-trauma\" class=\"anchor\" id=\"comparing-denominators-for-deaths-hospitalizations-emergency-department-visits-and-severe-trauma\"\u003e\u003c/a\u003eComparing Denominators for Deaths, Hospitalizations, Emergency Department Visits, and Severe Trauma\u003c/h2\u003e\n\u003cp\u003eThese statistics describe different populations and cannot substitute for one another. The denominator is the population used as the basis for calculating a proportion or rate. Even indicators with similar names answer different questions if their denominators differ.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eIndicator\u003c/th\u003e\n\u003cth\u003eReference population or denominator\u003c/th\u003e\n\u003cth\u003eQuestion answered\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eNumber of people who experienced injuries\u003c/td\u003e\n\u003ctd data-label=\"Reference population or denominator\"\u003ePeople who experienced accidents or poisoning that meet the survey definition\u003c/td\u003e\n\u003ctd data-label=\"Question answered\"\u003eHow many people experienced injuries that required treatment?\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eInjury hospitalization rate\u003c/td\u003e\n\u003ctd data-label=\"Reference population or denominator\"\u003ePopulation for the relevant year, age group, or other category\u003c/td\u003e\n\u003ctd data-label=\"Question answered\"\u003eHow many injury hospitalizations occurred relative to the population size?\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eShare of emergency department injuries by cause\u003c/td\u003e\n\u003ctd data-label=\"Reference population or denominator\"\u003eEmergency department injury patients included in the survey\u003c/td\u003e\n\u003ctd data-label=\"Question answered\"\u003eWhat share of injury patients is accounted for by a particular cause?\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eInjury mortality rate\u003c/td\u003e\n\u003ctd data-label=\"Reference population or denominator\"\u003ePopulation for the relevant year, age group, or other category\u003c/td\u003e\n\u003ctd data-label=\"Question answered\"\u003eHow many injury deaths occurred relative to the population size?\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Indicator\"\u003eSevere trauma case fatality rate\u003c/td\u003e\n\u003ctd data-label=\"Reference population or denominator\"\u003eSevere trauma patients within the defined scope\u003c/td\u003e\n\u003ctd data-label=\"Question answered\"\u003eWhat share of severe trauma patients died?\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eThe number of people who experienced injuries in 2024 was reported as about 3.9 million. This is not the number of people who experienced falls alone. Nor is it the same statistic as the number of hospitalized patients or emergency department patients.\u003c/p\u003e\n\u003cp\u003eThe same person may be included in more than one group. The numbers of people who experienced injuries, hospitalized patients, and deaths must therefore not be added together to calculate a total number of victims. It is also inappropriate to divide counts from different sources to produce a probability of hospitalization.\u003c/p\u003e\n\u003cp\u003eThe severe trauma case fatality rate cannot be applied to falls in general. This indicator describes outcomes among severe trauma patients. This distinction must also be maintained when interpreting the burden of injuries among older people.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#common-mistakes-when-comparing-two-points-in-time\" class=\"anchor\" id=\"common-mistakes-when-comparing-two-points-in-time\"\u003e\u003c/a\u003eCommon Mistakes When Comparing Two Points in Time\u003c/h2\u003e\n\u003cp\u003eThe first and last values alone cannot establish that an indicator moved in the same direction every year. The difference between 2014 and 2024 is the net change between two points in time. Annual data must be checked to determine whether there were increases and decreases in between.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eCommon interpretation\u003c/th\u003e\n\u003cth\u003eWhat to check\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eIt increased by 56.1% every year for 10 years\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eThe 56.1% figure is the overall percentage change from 2014 to 2024\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eIt increased every single year after 2014\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eHospitalization rates for the intervening years must be checked\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eIt increased by 56.1% because of population aging\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eDetermining the cause requires further analysis of age composition and age-specific indicators\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eThe higher share in 2025 means that patient numbers increased\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eChanges in the denominator, the total number of emergency department injury patients, must also be checked\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Common interpretation\"\u003eThe increase in falls caused the decrease in transport accidents\u003c/td\u003e\n\u003ctd data-label=\"What to check\"\u003eOpposite movements in the two indicators alone cannot establish causation\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eChanges in population composition can also affect how the overall hospitalization rate is interpreted. To examine the effect of age composition separately, check whether the rates have been age-standardized. Age standardization is a method of putting the age composition of the populations being compared on the same basis.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#information-to-retain-when-reusing-statistics\" class=\"anchor\" id=\"information-to-retain-when-reusing-statistics\"\u003e\u003c/a\u003eInformation to Retain When Reusing Statistics\u003c/h2\u003e\n\u003cp\u003eWhen reusing a figure, retain its reference year, unit, and denominator along with the value. Providing only the publication year may cause historical statistics to be read as current figures. Below is an example of how to record the 2024 hospitalization rate for falls.\u003c/p\u003e\n\u003cdiv class=\"overflow-x-auto\"\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eItem to record\u003c/th\u003e\n\u003cth\u003eExample entry\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eIndicator name\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003eHospitalization rate for falls\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eValue\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003e1,149\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eUnit\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003ePeople per 100,000 population\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eStatistical reference year\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003e2024\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eScope of injuries\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003eFalls\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eData source\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003eHospital Discharge In-depth Injury Survey\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003eDocument containing the figure\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003eInjury Incidence INJURY FACTBOOK 2026\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd data-label=\"Item to record\"\u003ePublication date\u003c/td\u003e\n\u003ctd data-label=\"Example entry\"\u003eOctober 29, 2026\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/div\u003e\n\u003cp\u003eWhen recording 56.1%, retain the comparison period as well. Identify the figure of about 2.70 times as a value calculated by dividing the published hospitalization rates. For calculated values, include the original figures used and the rounding rule.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#where-to-find-the-official-pdf-and-excel-files\" class=\"anchor\" id=\"where-to-find-the-official-pdf-and-excel-files\"\u003e\u003c/a\u003eWhere to Find the Official PDF and Excel Files\u003c/h2\u003e\n\u003cp\u003eThe publication announcement states that PDF and Excel files are available on the National Injury Information Portal. They can be found under the Statistical Publications menu in the Resources section. The PDF attached to the press release must be distinguished from the complete statistical publication files.\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003eVisit the Korea Disease Control and Prevention Agency’s National Injury Information Portal.\u003c/li\u003e\n\u003cli\u003eOpen the Statistical Publications menu under Resources.\u003c/li\u003e\n\u003cli\u003eFind “Injury Incidence INJURY FACTBOOK 2026.”\u003c/li\u003e\n\u003cli\u003eCheck the units, notes, and data sources for the relevant table in the PDF and Excel files.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eThis path is specified on the last page of the \u003ca href=\"https://www.kdca.go.kr/bbs/kdca/42/310523/download.do\"\u003eKorea Disease Control and Prevention Agency’s publication announcement\u003c/a\u003e. If the menus change, search by the document title. Check the statistical table notes as well for the survey scope and calculation methods.\u003c/p\u003e\n\u003ch2\u003e\n\u003ca href=\"#frequently-asked-questions\" class=\"anchor\" id=\"frequently-asked-questions\"\u003e\u003c/a\u003eFrequently Asked Questions\u003c/h2\u003e\n\u003ch3\u003e\n\u003ca href=\"#why-use-the-2024-hospitalization-rate-in-a-2026-statistical-publication\" class=\"anchor\" id=\"why-use-the-2024-hospitalization-rate-in-a-2026-statistical-publication\"\u003e\u003c/a\u003eWhy use the 2024 hospitalization rate in a 2026 statistical publication?\u003c/h3\u003e\n\u003cp\u003eBecause 2026 is the publication year. The hospitalization rate analysis uses data through 2024. The shares of emergency department injury patients were analyzed through 2025.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#does-the-hospitalization-rate-of-1149-for-falls-represent-the-nationwide-patient-count\" class=\"anchor\" id=\"does-the-hospitalization-rate-of-1149-for-falls-represent-the-nationwide-patient-count\"\u003e\u003c/a\u003eDoes the hospitalization rate of 1,149 for falls represent the nationwide patient count?\u003c/h3\u003e\n\u003cp\u003eIt is a hospitalization rate per 100,000 population, not the nationwide patient count. The reference year is 2024. The actual number of patients must be checked separately under the patient count item.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#is-the-400-emergency-department-share-the-populations-probability-of-falling\" class=\"anchor\" id=\"is-the-400-emergency-department-share-the-populations-probability-of-falling\"\u003e\u003c/a\u003eIs the 40.0% emergency department share the population’s probability of falling?\u003c/h3\u003e\n\u003cp\u003eIt is not the population’s probability of falling. It is the share among emergency department injury patients included in the 2025 survey. Replacing the denominator with the entire population changes its meaning.\u003c/p\u003e\n\u003ch3\u003e\n\u003ca href=\"#can-the-severe-trauma-case-fatality-rate-among-older-people-be-applied-to-all-falls\" class=\"anchor\" id=\"can-the-severe-trauma-case-fatality-rate-among-older-people-be-applied-to-all-falls\"\u003e\u003c/a\u003eCan the severe trauma case fatality rate among older people be applied to all falls?\u003c/h3\u003e\n\u003cp\u003eIt cannot be applied to all falls. It is an indicator for a specific group: severe trauma patients. It must be distinguished from the probability of death for falls in general.\u003c/p\u003e\n","tags":["Healthy aging","Injury statistics","Falls"],"faqs":[{"question":"Are all the figures in INJURY FACTBOOK 2026 based on 2026 data?","answer":"2026 is the publication year. The hospitalization rate data extend through 2024, and the data on proportions among emergency department injury patients extend through 2025."},{"question":"How much did the hospitalization rate for falls from heights and other falls increase?","answer":"It increased from 736 per 100,000 people in 2014 to 1,149 in 2024. The increase relative to 2014 was 56.1%."},{"question":"How did the hospitalization rate for transport accidents change over the same period?","answer":"It decreased from 731 per 100,000 people in 2014 to 426 in 2024. The decrease relative to 2014 was 41.7%."},{"question":"What does it mean that the hospitalization rate for falls from heights and other falls was approximately 2.70 times that for transport accidents?","answer":"This is the result of dividing the 2024 hospitalization rate for falls from heights and other falls, 1,149, by the hospitalization rate for transport accidents, 426. It compares hospitalization rates for the two causes in the same year. It does not compare an individual's probability of having an accident."},{"question":"Is an increase of 10.4 percentage points the same as an increase of 10.4%?","answer":"They are different. The difference between a share of 29.6% and 40.0% is 10.4 percentage points. The relative increase, calculated using the previous share as the baseline, is approximately 35.1%."},{"question":"What is the reference population for the 40.0% share of falls from heights and other falls in emergency departments?","answer":"It is the proportion among injury patients in the 2025 Emergency Department-Based Injury In-depth Surveillance. It is not a proportion of the entire population or of all emergency department patients, including those with illnesses."},{"question":"Does the hospitalization rate of 7,922 for people aged at least 75 count only falls?","answer":"It is the overall injury hospitalization rate for people aged at least 75 in 2024. The unit is people per 100,000 people in that age group. It cannot be interpreted as the hospitalization rate for falls alone or as an individual's probability of falling."},{"question":"Does the figure of approximately 3.9 million people who experienced injuries represent the number of inpatients?","answer":"It is not the number of inpatients. It is a separate indicator that counts experiences of accidents or poisoning that required treatment in 2024. It is not the number of people who experienced falls alone, either."},{"question":"Can the severe trauma case fatality rate be applied to falls in general?","answer":"It cannot be applied to all falls in general. The denominator for the severe trauma case fatality rate is the number of severe trauma patients within the relevant scope. It is not an indicator whose denominator is everyone who experienced a fall."},{"question":"Does a 56.1% increase mean that it kept increasing every year?","answer":"The difference between two points in time alone does not establish that it increased every year. 56.1% is the rate of change in 2024 relative to 2014. The intervening trend must be checked using annual statistics."},{"question":"Where can I find the PDF and Excel versions of the statistical publication?","answer":"The publication announcement press release directs readers to Resources \u003e Statistical Publications on the National Injury Information Portal. The document is titled \"Injury Incidence INJURY FACTBOOK 2026.\""}],"sources":[{"url":"https://www.kdca.go.kr/bbs/kdca/42/310523/download.do","title":"Korea Disease Control and Prevention Agency, press release PDF on the publication of Injury Incidence Overview INJURY FACTBOOK 2026, October 29, 2026","type":"source"},{"url":"https://www.kdca.go.kr/kdca/2847/subview.do?enc=Zm5jdDF8QEB8JTJGYmJzJTJGa2RjYSUyRjQxJTJGMzEzMTAzJTJGYXJ0Y2xWaWV3LmRvJTNGcGFzc3dvcmQlM0QlMjZyZ3NCZ25kZVN0ciUzRCUyNmZpbmRPcG53cmQlM0QlMjZmaW5kV29yZCUzRCUyNnJnc0VuZGRlU3RyJTNEJTI2ZmluZFR5cGUlM0QlMjZmaW5kQ2xTZXElM0QlMjZwYWdlJTNEMSUyNg%3D%3D","title":"Korea Disease Control and Prevention Agency, injury incidence and trends in Korea at a glance, publication of Injury Incidence Overview INJURY FACTBOOK 2026","type":"source"}],"images":[{"id":2382,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6MzcxNDIsInB1ciI6ImJsb2JfaWQifX0=--2a7055b213358d87b67fde8c21e9f8db4f9f1f9f/ai-ae211a9c.webp","is_representative":true,"generation_method":"ai_photo","license":"ai_generated","mime_type":"image/webp","width":1536,"height":1024,"translations":{"ko":{"alt":"병상에 상체를 세워 누운 고령 여성이 부목으로 고정한 다리를 베개 위에 올려놓고 있다.","caption":"추락·낙상 입원율은 2014년부터 2024년까지 56.1% 증가했다.","description":null},"en":{"alt":"An older woman reclines in a hospital bed with her splinted lower leg resting on a pillow.","caption":"The hospitalization rate for falls rose by 56.1% from 2014 to 2024.","description":null},"ja":{"alt":"病院のベッドで上半身を起こし、副木で固定した脚を枕にのせている高齢女性。","caption":"転落・転倒による入院率は、2014年から2024年にかけて56.1％増加した。","description":null},"es":{"alt":"Una mujer mayor reclinada en una cama de hospital, con la pierna inmovilizada con una férula sobre una almohada.","caption":"La tasa de hospitalización por caídas aumentó un 56,1 % entre 2014 y 2024.","description":null},"id":{"alt":"Seorang perempuan lansia berbaring di ranjang rumah sakit dengan tungkai berbidai ditopang bantal.","caption":"Angka rawat inap akibat jatuh meningkat 56,1% dari 2014 hingga 2024.","description":null},"pt":{"alt":"Uma mulher idosa reclinada numa cama de hospital, com a perna imobilizada por uma tala sobre um travesseiro.","caption":"A taxa de internação por quedas aumentou 56,1% entre 2014 e 2024.","description":null},"zh-hant":{"alt":"一名年長女性半躺在病床上，以夾板固定的小腿擱在枕頭上。","caption":"2014年至2024年間，墜落及跌倒住院率增加了56.1%。","description":null},"de":{"alt":"Eine ältere Frau liegt im Krankenhausbett, den geschienten Unterschenkel auf einem Kissen gelagert.","caption":"Die Rate der Krankenhausaufnahmen wegen Stürzen stieg von 2014 bis 2024 um 56,1 %.","description":null}}},{"id":2383,"url":"https://injoys.com/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6MzcxNDgsInB1ciI6ImJsb2JfaWQifX0=--68d932eaf6e8c82bd59b7821b48f4f56b3f04cce/ai-cede92c6.webp","is_representative":false,"generation_method":"ai_semi","license":"ai_generated","mime_type":"image/webp","width":1536,"height":1024,"translations":{"ko":{"alt":"응급실에서 간호사가 의자에 앉은 중년 남성의 붓고 붉어진 손목을 살펴보고 있다.","caption":"응급실 손상 환자 중 추락·낙상 비중은 2015~2025년 10.4%포인트 높아졌다.","description":null},"en":{"alt":"A nurse examines the swollen, reddened wrist of a seated older man in an emergency department.","caption":"Falls accounted for a 10.4-percentage-point greater share of emergency department injury cases in 2025 than in 2015.","description":null},"ja":{"alt":"救急外来で、椅子に座る中高年男性の赤く腫れた手首を看護師が診察している。","caption":"救急外来の外傷患者に占める転落・転倒の割合は、2015～2025年に10.4ポイント上昇した。","description":null},"es":{"alt":"Una enfermera examina la muñeca hinchada y enrojecida de un hombre mayor sentado en urgencias.","caption":"La proporción de lesiones por caídas atendidas en urgencias aumentó 10,4 puntos porcentuales entre 2015 y 2025.","description":null},"id":{"alt":"Perawat memeriksa pergelangan tangan pria paruh baya yang bengkak dan memerah saat ia duduk di IGD.","caption":"Proporsi kasus cedera akibat jatuh di IGD meningkat 10,4 poin persentase dari 2015 hingga 2025.","description":null},"pt":{"alt":"Uma enfermeira examina o punho inchado e avermelhado de um homem mais velho sentado na emergência.","caption":"A proporção de lesões por quedas atendidas na emergência aumentou 10,4 pontos percentuais entre 2015 e 2025.","description":null},"zh-hant":{"alt":"急診室內，護理師檢查一名坐在診療椅上的中老年男子紅腫的手腕。","caption":"2015至2025年間，急診傷害患者中墜落與跌倒所占比例增加了10.4個百分點。","description":null},"de":{"alt":"Eine Pflegekraft untersucht das geschwollene, gerötete Handgelenk eines älteren Mannes in der Notaufnahme.","caption":"Der Anteil der Sturzverletzungen an den Verletzungsfällen in Notaufnahmen stieg von 2015 bis 2025 um 10,4 Prozentpunkte.","description":null}}}],"published_at":"2026-11-03T05:43:51+09:00","updated_at":"2026-11-03T05:43:51+09:00","license":"cc_by","translation_status":"reviewed","available_locales":["ko","en","ja","es"],"data_locales":["ko","en","ja","es","id","pt","zh-hant","de"],"url":"https://injoys.com/en/articles/fall-injury-hospitalization-rates-factbook-2026"}