JP: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 2.100 Ratio in 2016. This stayed constant from the previous number of 2.100 Ratio for 2015. JP: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 2.500 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.900 Ratio in 1990 and a record low of 2.100 Ratio in 2016. JP: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

This dataset provides world health statistics indicators for Japan. It includes different indicators for heath (Civil registration coverage of causes of deaths, Dentistry personnel density, Hospital beds, Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years etc).

JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.300 % in 2010. JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.300 % from Dec 2010 (Median) to 2010, with 1 observations. JP: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.

Japan stands out as one of the countries with the highest population longevity, from a global perspective 🌏, having the highest estimated life expectancy at birth of 84.26 years. The longevity of Japanese women is notable, ranking first worldwide with a life expectancy of 86.94 years, while Japanese men rank second with 81.49 years (World Health Organization, 2020). Japan's high life expectancy can be attributed to various factors. Technological progress, especially in the medical field, along with the country's accelerated economic development, in recent decades, have inevitably led to an increase in the average life expectancy of the population.

The dataset contains information about life expectancy and economic&social variables for Japan's prefectures as of 2020. - Life expectancy data source: Ministry of Health, Labour and Welfare, Japan - Independent variables data source: Japanese Government Statistics - Geospatial prefecture data: GitHub

Japan WHO Health Indicators

Substance Abuse, Mental Health, and Disease Statistics

By Humanitarian Data Exchange [source]

About this dataset

This dataset from the World Health Organization’s data portal contains a wide array of health indicators for Japan, covering topics such as mortality and global health estimates, sustainable development goals, millennium development goals, health systems, infectious diseases, health financing, public health and environment, substance use and mental health, tobacco use and violence prevention , HIV/AIDS and other sexually-transmitted infections (STIs), nutrition intake levels, urban healthcare practices,, noncommunicable disease management methods , neglected tropical diseases surveillance infrastructure statistics medical equipment technology demographic profiles , youth healthcare access policies international he Heath regulations monitoring framework insecticide resistance protocol oral health advancements Universal Health Coverage (UHC) strategies financial protection AMR GLASS ICD SEXUAL AND REPRODUCTIVE HEALTH resources. The dataset also provides links to individual indicator metadata. Please note that additional information regarding each indicator is available in those resource descriptions. Information was sourced from the WHO database and was last updated on 2020-09-16

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How to use the dataset

This dataset provides a wealth of information about the health and safety indicators in Japan. It contains data from World Health Organization's (WHO) data portal, covering multiple categories such as mortality and global health estimates, sustainable development goals, millennium development goals (MDGs), malaria and tuberculosis, child health, infectious diseases, world health statistics, demography and socioeconomic statistics etc. This guide will provide an overview of the content of this dataset as well as instructions on how to use it.

The dataset consists of several columns which describe various aspects of each indicator: GHO Code – The code for the Global Health Observatory indicator; GHO Display – The name of the Global Health Observatory indicator; GBDChildCauses (CODE) – The code for the Global Burden of Disease Child Causes Indicator; GBDChildCauses (DISPLAY) – The name of the Global Burden Of Disease Child Causes Indicator; PublishState (CODE) - The code for the publication state; PublishState(DISPLAY)-The name of the publication state; Year(CODE)-The code for year;; Year(DISPLA & YEAR)(URL); Region(CODE & REGION)(DISPL ®ION)(URL); Country (& COUNTRY)(DISPL & COUNTRY)(URL); AgeGroup (& AGEGROUP)(COD &AGEGROUP); Sex ((SEX CODE))  Sex DISPLAY ; GHECAUSES&GHECause(DisplayGHEconse URL&CHILDCause Code cCHILDCUSE DISP、 CHILDCUSE URL Display Value、Numericlow HIGH  STD ERR StdDev Comments。

In order to begin using this dataset you will have to download it from Kaggle. After downloading you can view its contents using any application like a spreadsheet. You can also rewrite all or part of it into other formats such as JSON if necessary. Once completed follow these steps to get analytics about your data:

• Preparing Your Data - Start by eliminating all irrelevant columns that don't contain useful information or could potentially confuse or mislead your analysis process like comments column which contain notes on certain entries in this set rather than numbers or statistical values related to them..

• Calculate/ Analyze relevant indicators - Use function formulas that come with your application suite like average median mode min max calculations etc so that you can know exactly what kindof , indicators is being used in

Research Ideas

• Analysis of healthcare improvements or shortfalls across Japan over time.
• Tracking the prevalence of various types of Noncommunicable Diseases (NCDs) in Japan, including mental health issues, to inform public policy and interventions.
• Examination of the infrastructure spending in Japanese healthcare to help inform other nations’ decisions on investment levels for health services delivery

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: all-health-indicators-for-japan-18.csv | Column name | Description | |:-----------------------------|:------------------------------------------------------------------...

Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 5.000 Ratio in 2015. This records a decrease from the previous number of 6.000 Ratio for 2014. Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 8.000 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 14.000 Ratio in 1990 and a record low of 5.000 Ratio in 2015. Japan JP: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

In fiscal year 2024, the shipment value of the health food market in Japan was estimated to reach almost *** billion Japanese yen, reversing the upward trend from previous years. The market was forecast to continue the decline in fiscal year 2025, reaching *** billion yen. Health foods in Japan Food with health claims in Japan used to encompass mainly foods for specified health uses (FOSHU) and foods with nutrient function claims (FNFC). These products comply with the government’s standards to be marketed as health-promoting products. Following the relaxation of regulations in April 2015, foods with function claims were established as a new market segment. The new product category refers to food products with scientifically supported function claims, which do not need to be approved by the government. Consumer awareness The Japanese health food market has been growing steadily recently, garnering the attention of the aging society and catering to the rising interest in a healthy lifestyle. In particular, foods for specified health uses show a high awareness level among consumers, with only one in eight not recognizing the term. However, conscious consumption of FOSHU products is not as widespread yet as consumers are expressing their future intentions to try certified health foods. 

We asked Japanese consumers about "Prevalence of health conditions" and found that *************************************************************** takes the top spot, while ********************************************************************** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 2,744 consumers in Japan.

In the fiscal year 2020, the value of the health technology market which is related to prevention and health control was forecast to reach around **** billion Japanese yen. The overall health technology market was forecast to increase to approximately *** billion yen by fiscal 2026. The digital healthcare market encompasses hardware, software, and services used for health, medical, and nursing care.

In 2021, a monthly average of nearly *** million workers were employed in the Japanese health and welfare sector. Out of these employees, a majority of approximately *** million people on average were working in the medical care segment.

The dataset consists of three primary fields:

ICD10(小)コード: This field contains the ICD-10 codes in Japanese, which are alphanumeric codes used for classifying diseases and health conditions. These codes are essential for standardizing the diagnosis and treatment of medical conditions.

ICD10(小)名称: In this field, you have the corresponding names or descriptions of the health conditions associated with the ICD-10 codes. This provides the human-readable labels for the medical conditions.

実患者数: This field represents the "実患者数," which translates to "Actual Number of Patients" in English. It denotes the count of patients who have been diagnosed with or treated for the specific health condition indicated by the ICD-10 code.

This dataset is a valuable resource for healthcare professionals, researchers, and organizations looking to analyze and understand the prevalence and distribution of various medical conditions in Japan. It can be used for epidemiological studies, healthcare planning, and medical research. The inclusion of ICD-10 codes allows for standardized analysis and comparison of diseases, and the patient count provides essential data for assessing the burden and impact of these conditions on the healthcare system and population.

Japan JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 0.200 Ratio in 2016. Japan JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 0.200 Ratio from Dec 2016 (Median) to 2016, with 1 observations. Japan JP: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Foods produced through ************ were the most commonly eaten products for health and beauty-related reasons in Japan. According to a survey conducted in April 2025, almost ** percent of respondents stated to consciously consume ****** as a health food.

Health expenditure as a share of GDP of Japan climb by 2.07% from 11.2 % in 2021 to 11.4 % in 2022. Since the 0.02% decrease in 2017, health expenditure as a share of GDP jumped by 7.18% in 2022. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.

In the fiscal year 2023, around **** percent of the annual national health expenses in Japan were derived from government expenses. At the same time, about **** percent came from the expenses from municipalities.

In the fiscal year 2023, annual medical expenses per person in Japan amounted to approximately ******* Japanese yen, an increase from around ******* yen in fiscal 2014. The total amount of national medical expenditure in fiscal 2023 was approximately **** trillion Japanese yen. National medical care expenditure refers to the total of public funding and medical costs paid by patients in Japan, as well as payments through Japanese health insurance and such.

In fiscal year 2022, outpatient treatment costs accounted for the largest portion of the medical expenses of the Japan Health Insurance Association, amounting to approximately *** trillion Japanese yen. Hospitalization costs accounted for the second largest, totaling approximately *** trillion yen.

PERIOD: 1929-1938 year-end. By prefecture and overseas territory of Japan, at the end of 1938. NOTE: End of year. SOURCE: Annual Report of the Sanitary Bureau of the Home Department of the Imperial Japanese Government; [Annual Report of Health Statistics; Statistics by government offices, overseas territories of Japan].

Graph and download economic data for NASDAQ Japan Health Care Index (NASDAQNQJP20) from 2001-03-30 to 2025-11-07 about healthcare, NASDAQ, health, Japan, and indexes.

Japan JP: Physicians: per 1000 People data was reported at 2.367 Ratio in 2014. This records an increase from the previous number of 2.297 Ratio for 2012. Japan JP: Physicians: per 1000 People data is updated yearly, averaging 1.250 Ratio from Dec 1960 (Median) to 2014, with 40 observations. The data reached an all-time high of 2.367 Ratio in 2014 and a record low of 1.000 Ratio in 1968. Japan JP: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;