In 2024, around **** percent of the total population in Japan was aged 65 years and older. Due to a low birth rate and high longevity, people aged 65 years and over were estimated to make up approximately **** percent of the population in Japan by 2070. The share of children below 15 years old was expected to decrease to around *** percent by that year.

The statistic shows the total population in Japan from 2020 to 2024, with projections up until 2030. In 2024, the total population of Japan amounted to around 123.9 million inhabitants. See the figures for the population of South Korea for comparison. Total population in Japan From steadily low fertility rates to a growing elderly population, it is no secret that Japan’s population is shrinking. Population growth rates jump around a little, but are currently following a declining trend. The post-war baby boom generation is now in the 65-and-over age group, and the percentage of the population in that category is expected to keep growing, as is indicated by a high median age and high life expectancy. Japan already has the highest percentage of its population over 65 in the world, and the aging population puts some pressure on the Japanese government to provide welfare services for more people as rising numbers leave the workforce. However, the amount of jobs opened up for the younger generations by the older generations leaving the workforce means that unemployment is kept to a minimum. Despite a jump in unemployment after the global recession hit in 2008, rates were almost back to pre-recession rates by 2013. Another factor affecting Japan is the number of emigrants to other countries. The United States absorbs a number of emigrants worldwide, so despite a stagnating birth rate, the U.S. has seen a steady rise in population.

Approximately **** million people in Japan were estimated to be within the age group 65 and over in 2024. This number was projected to ******** until 2040 and then ******* to about **** million by 2120.

Over the last decade, Japan’s population has aged more and more, to the point where more than a quarter of Japanese were 65 years and older in 2022. Population growth has stopped and even reversed, since it’s been in the red for several years now.

It’s getting old

With almost 30 percent of its population being elderly inhabitants, Japan is considered the “oldest” country in the world today. Japan boasts a high life expectancy, in fact, the Japanese tend to live longer than the average human worldwide. The increase of the aging population is accompanied by a decrease of the total population caused by a sinking birth rate. Japan’s fertility rate has been below the replacement rate for many decades now, mostly due to economic uncertainty and thus a decreasing number of marriages.

Are the Japanese invincible?

There is no real mystery surrounding the ripe old age of so many Japanese. Their high average age is very likely due to high healthcare standards, nutrition, and an overall high standard of living – all of which could be adopted by other industrial nations as well. But with high age comes less capacity, and Japan’s future enemy might not be an early death, but rather a struggling social network.

In 2020, about 28.3 percent of the male population and 17.8 percent of the female population in Japan were unmarried at the age of 50. The unmarried rate at 50 for both genders steadily rose since 1990.

In 2023, approximately *** million people within the age group of 15 to 64 years were counted in Tokyo Prefecture, an increase from about *** million people recorded in 2020. Over *** million inhabitants in the metropolis were aged 65 years and older.

The share of people aged 65 years and older in Japan stood at ***** percent in 2023. In a steady upward trend, the share rose by ***** percentage points from 1960.

Abstract

This detailed report presents the major findings of the 2003 Kenya Demographic and Health Survey (2003 KDHS). The 2003 KDHS is the fourth survey of its kind to be undertaken in Kenya, others being in 1989, 1993, and 1998. The 2003 KDHS differed in two aspects from the previous KDHS surveys: it included a module on HIV prevalence from blood samples, and it covered all parts of the country, including the arid and semi-arid districts that had previously been omitted from the KDHS. The 2003 KDHS was implemented by the Central Bureau of Statistics. Fieldwork was carried out between April and September 2003. The primary objective of the 2003 KDHS was to provide up-to-date information for policymakers, planners, researchers, and programme managers, which would allow guidance in the planning, implementation, monitoring and evaluation of population and health programmes in Kenya. Specifically, the 2003 KDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and young children, childhood and maternal mortality, maternal and child health, and awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs). In addition, it collected information on malaria and use of mosquito nets, domestic violence among women, and HIV prevalence of adults. The 2003 KDHS results present evidence of lower than expected HIV prevalence in the country, stagnation in fertility levels, only a very modest increase in use of family planning methods since 1998, continued increase in infant and under-five mortality rates, and overall decline in indicators of maternal and child health in the country. There is a disparity between knowledge and use of family planning methods. There is also a large disparity between knowledge and behaviour regarding HIV/AIDS and other STIs. Some of the critical findings from this survey, like the stagnation in fertility rates and the declining trend in maternal and child health, need to be addressed without delay. I would like to acknowledge the efforts of a number of organisations that contributed immensely to the success of the survey. First, I would like to acknowledge financial assistance from the Government of Kenya, the United States Agency for International Development (USAID), the United Kingdom Department for International Development (DFID), the United Nations Population Fund (UNFPA), the Japan International Co-operation Agency (JICA), the United Nations Development Programme (UNDP), the United Nations Children's Fund (UNICEF), and the Centers for Disease Control and Prevention (CDC). Second, in the area of technical backstopping, I would like to acknowledge ORC Macro, CDC, the National AIDS and STIs Control programme (NASCOP), the Kenya Medical Research Institute (KEMRI), and the National Council of Population and Development (NCPD). Special thanks go to the staff of the Central Bureau of Statistics and the Ministry of Health who coordinated all aspects of the survey. Finally, I am grateful to the survey data collection personnel and, more importantly, to the survey respondents, who generously gave their time to provide the information and blood spots that form the basis of this report.

Analysis unit

Clusters, Districts, National, Male and Female, Urban, Rural

Sampling procedure

The sample for the 2003 KDHS covered the population residing in households in the country. A representative probability sample of almost 10,000 households was selected for the KDHS sample. This sample was constructed to allow for separate estimates for key indicators for each of the eight provinces in Kenya, as well as for urban and rural areas separately. Given the difficulties in traveling and interviewing in the sparsely populated and largely nomadic areas in the North Eastern Province, a smaller number of households was selected in this province. Urban areas were oversampled. As a result of these differing sample proportions, the KDHS sample is not self-weighting at the national level; consequently, all tables except those concerning response rates are based on weighted data. The survey utilised a two-stage sample design. The first stage involved selecting sample points (“clusters”) from a national master sample maintained by CBS (the fourth National Sample Survey and Evaluation Programme [NASSEP IV]). The list of enumeration areas covered in the 1999 population census constituted the frame for the NASSEP IV sample selection and thus for the KDHS sample as well. A total of 400 clusters, 129 urban and 271 rural, were selected from the master frame. The second stage of selection involved the systematic sampling of households from a list of all households that had been prepared for NASSEP IV in 2002. The household listing was updated in May and June 2003 in 50 selected clusters in the largest cities because of the high rate of change in structures and household occupancy in the urban areas. All women age 15-49 years who were either usual residents of the households in the sample or visitors present in the household on the night before the survey were eligible to be interviewed in the survey. In addition, in every second household selected for the survey, all men age 15-54 years were eligible to be interviewed if they were either permanent residents or visitors present in the household on the night before the survey. All women and men living in the households selected for the Men's Questionnaire and eligible for the individual interview were asked to voluntarily give a few drops of blood for HIV testing.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used in the survey: the Household Questionnaire, the Women's Questionnaire and the Men's Questionnaire. The contents of these questionnaires were based on model questionnaires developed by the MEASURE DHS+ programme. In consultation with a broad spectrum of technical institutions, government agencies, and local and international organisations, CBS modified the DHS model questionnaires to reflect relevant issues in population, family planning, HIV/AIDS, and other health issues in Kenya. A number of thematic questionnaire design committees were organised by CBS. Periodic meetings of each of the thematic committees, as well as the final meeting, were also arranged by CBS. The inputs generated in these meetings were used to finalise survey questionnaires. These questionnaires were then translated from English into Kiswahili and 11 other local languages (Embu, Kalenjin, Kamba, Kikuyu, Kisii, Luhya, Luo, Maasai, Meru, Mijikenda, and Somali). The questionnaires were further refined after the pretest and training of the field staff. The Household Questionnaire was used to list all of the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor and roof of the house, ownership of various durable goods, and ownership and use of mosquito nets. In addition, this questionnaire was used to record height and weight measurements of women age 15-49 years and children under the age of 5 years, households eligible for collection of blood samples, and the respondents' consent to voluntarily give blood samples. The HIV testing procedures are described in detail in the next section. The Women's Questionnaire was used to collect information from all women age 15-49 years and covered the following topics: • Background characteristics (e.g., education, residential history, media exposure) • Reproductive history • Knowledge and use of family planning methods • Fertility preferences • Antenatal and delivery care • Breastfeeding • Vaccinations and childhood illnesses • Marriage and sexual activity • Woman's work and husband's background characteristics • Infant and child feeding practices • Childhood mortality • Awareness and behaviour about AIDS and other sexually transmitted diseases • Adult mortality including maternal mortality. The Women's Questionnaire also included a series of questions to obtain information on women's experience of domestic violence. These questions were administered to one woman per household. In households with two or more eligible women, special procedures were followed, which ensured that there was random selection of the woman to be interviewed. The Men's Questionnaire was administered to all men age 15-54 years living in every second household in the sample. The Men's Questionnaire collected similar information contained in the Women's Questionnaire, but was shorter because it did not contain questions on reproductive history, maternal and child health, nutrition, maternal mortality, and domestic violence. All aspects of the KDHS data collection were pretested in November and December 2002. Thirteen teams (one for each language) were formed, each with one female interviewer, one male interviewer, and one health worker. The 39 team members were trained for two week s in the various districts in which their language was spoken. In total, 260 households were covered in the pretest. The lessons learnt from the pretest were used to finalise the survey instruments and logistical arrangements for the survey. The pretest underscored the desirability of inluding voluntary counselling and testing (VCT) for

As of the end of 2023, over 318,400 men and 249,400 women of non-Japanese nationality with ages between 25 and 29 were residing in Japan. This age cohort exhibited the highest number of foreign residents among all age groups.

The Study’s Subject: The German Statistical Office of the German Empire compiled a comparative representation of different countrie’s crime statistics. In this context the statistical office was faced with the problem of diverging methodologies and classifications of the countrie’s crime statistics data collections. After World War 1 the “International Statistic Institute (ISI)” and the “International Penal Law and Prison Commission” (IPPC) ) resumed their research activities in the fields of criminal statistics in international comparison. In this context the Statistical Office of the German Empire carried out an investigation of 33 european and non-european countries with the aim to work out a comparative compilation of various criminalstatistical classifications. Is was established that at the time of preparation a comparison of different classifications a comparable international data compilation could not be gathered due to significant differences between the classifications. Finally from the 33 countries it could be compiled time series on criminal statisics only for a small selection of countries. The reason for this situation was the lack of data material for many countries. Therefore, the development of crime could be presented in form of time series for the following countries: - Austria- England and Wales- France- German Empire- Sweden- Canada- Japan In terms of the crime statistical objective data on lawsuit processes (for example the number of criminal proceedings) has not been incorporated. Furthermore, no data on the military criminal justice are included in the data compilation. The following information, which was available in the statistics, has been taken from the statistics for the data compilation: Information on the persons, who has been accused or convicted: Number of persons totally, by gender, teenagers or adults.Information on the offences the persons were accused for: accused or convicted by groups of offences or single selected offences.The sentences imposed as results of lawsuit processes are not included in this data compilation. Data tables in HISTAT (Thema: Kriminaltiät): A. Österreich (Austria) A.1 Rechtskräftig Verurteilte nach Geschlecht (Legally convicted by sex)A.2 Rechtskräftig Verurteilte wegen Verbrechen nach ausgewählten Deliktarten (Legally convicted of crimes by selected types of offences)A.3 Rechtskräftig Verurteilte wegen Verbrechen und Übertretungen zusammen nach ausgewählten Deliktarten (Legally convicted of crimes and violations by selected types of offences)A.4 Verurteilte auf 100.000 Strafmündige nach ausgewählten Deliktarten (Kriminalitätsziffern) (Convicted per 100.000 of population of the age of criminal responsibility by selected offences (crime rate)) B. England und Wales (England and Wales)B.1 Angeklagte wegen schwerer Vergehen vor Schwurgerichten und Vierteljahressitzungen nach Deliktarten (Accuesed of heavy offences at the jury court (Assizes) and at the „Quarter Sessions“ by types of offences)B.2 Angeklagte wegen schwerer und leichter Vergehen vor allen Gerichten insgesamt und vor den Gerichten für summarische Rechtsprechung (Accused of heavy offences and of petty offences at all types of courts and at courts of summary jurisdiction)B.3 Angeklagte und Verurteilte nach Geschlecht C. Frankreich (France) C.1 Verhandlungen vor Schwurgerichten (Hearings at the jury courts)C.1.1 Angeklagte vor Schwurgerichte nach Geschlecht (Accused at jury courts by gender)C.1.2 Anzahl der Verurteilten durch Schwurgerichte (Number of convicted by the jury court)C.1.3 Erhobene Anklagen nach Deliktart vor Schwurgerichten (Prosecutions by types of offences at the jury court) C.2 Verhandlungen vor Strafgerichten (Hearings at the tribunal court)C.2.1 Angeklagte vor und Verurteilte der Strafgerichte insgesamt (Accused and convicted of tribunal courts, totaly)C.2.2 Anklagen vor Strafgerichte nach Deliktarten (Prosecutions at the tribunal court by types of offences) D. Deutsches Reich (German Empire) D.1 Abgeurteilte Personen und verurteilte Personen nach Geschlecht, Jugendliche und Vorbestrafte (1882-1927) (Persons judged and convicted persons by sex)D.2 Verurteilte Personen nach Deliktgruppen (1882-1927) (Convicted Persons by types of offences)D.3 Kriminalitätsziffern der verurteilten Personen - auf 100.000 der strafm. Bevölkerung (1882-1927) (Crime rate of convicted Persons – per 100.000 of population of the age of criminal responsibility)D.4 Kriminalitätsziffern der verurteilten Personen nach Deliktgruppe - auf 100.000 der strafm. Bevölkerung (1882-1927) (Crime Rate of convicted Persons by type of offence – per 100.000 of population of the age of criminal responsibility)D.5 Die Strafmündige Bevölkerung des Deutschen Reiches (1882-1928) (Population of the German Empire of the a...

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National.

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1362.

The different stages in the sampling procedure were stratified multi-stage sampling. The sample unit got from the office sampling was named individual. Also there were some quota controls on the type of individual selected to take part in the survey. We made a quota table, in accordance with Population Census. Stratification factors were used: region and size of city at the 1st stage.

Remarks about sampling: - Final numbers of clusters or sampling points: No clusters - Sample unit from office sampling: Named Individual

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The WVS questionnaire was translated from the English questionnaire by Client (Dentsu Institute) + Research Company (NRC). The translated questionnaire was not back-translated into English and also the translated questionnaire was not pre-tested. There have been any optional WVS questions and/or items been included: V181a,b,c. However country-specific questions were not included. Nevertheless, a number of questions were omitted: V66 until V77, V160, V218, V238. The reasons why they were not included were:

• V68 until V77: These questions are connected with human rights.
• V160: There is not suitable for Japan.
• V218: Japan is a racially homogeneous nation.
• V238: Because of Mail Survey.

The sample was designed to be representative of the entire adult population, i.e. 18 years and older, of your country. The lower age cut-off for the sample was 17 and there was not any upper age cut-off for the sample.

Response rate

There were some limitations in the sample. Non-response rate: 32%

Sampling error estimates

2.7

In 2024, around 9.9 percent of male full-time employees in Japan worked 60 hours or more per week, compared to 4.2 percent of female full-time employees. The share of regular employees working 60 hours or more a week was highest among men in their forties.

In 2022, the average life expectancy of women in Japan was approximately **** years, whereas the life expectancy of men reached around **** years. The average life expectancy of both men and women in Japan indicated a ******** for two consecutive years. Aging workforce Japan has one of the highest proportions of senior citizens worldwide, with almost ** percent of the country’s population aged 65 years and older. The growing average life expectancy and declining fertility rates led to this demographic shift. To secure the nation's workforce despite the aging population, the Japanese government amended the Act on Stabilization of Employment of Elderly Persons in 2021 and requested Japanese enterprises to raise the retirement age to 70 for employees who wish to continue working after turning 60 or 65. Causes of death The leading causes of death in Japan are *****************************************************************. Lung cancer is the most mortal cancer site among Japanese men and women, but its mortality risk has declined from the 1990s onward. This development can be partially attributed to the downward trend in tobacco consumption. Since peaking in the 1970s, tobacco consumption in Japan has steadily declined, noticeable from the continuous decrease in the cigarette industry’s annual sales volume growth. Apart from a growing awareness regarding health risks, this downward movement can be explained by a tightening of prefectural no-smoking policies in the streets, many restaurants, and public places in general.

In 2023, the male population in Tokyo Prefecture amounted to around 6.6 million. The number of men in the prefecture declined in 2021 for the first time in the past decade.

In 2023, the female population in Tokyo Prefecture amounted to around 6.85 million. The number of women in the prefecture decreased in 2021 for the first time in years.

In 2023, around 137,240 deaths were recorded in Tokyo, Japan, decreasing slightly compared to the previous year. In 2023, the number of deaths reported in the Japanese metropolis was the highest among all 47 prefectures.

In 2023, Tokyo Prefecture recorded a 0.99 total fertility rate (TFR). The total fertility rate in the prefecture showed a steady decrease in recent years and fell below one for the first time in 2023.

In 2023, Tokyo Prefecture registered 1.49 new divorces per 1,000 inhabitants, up from 1.43 divorces in the previous year. The divorce rate in the prefecture had shown a steady decrease until 2023.

During the Second World War, the three Axis powers of Germany, Italy, and Finland mobilized the largest share of their male population. For the Allies, the Soviet Union mobilized the largest share of men, as well as the largest total army of any country, but it was restricted in its ability to mobilize more due to the impact this would have on its economy. Other notable statistics come from the British Empire, where a larger share of men were drafted from Dominions than from the metropole, and there is also a discrepancy between the share of the black and white populations from South Africa.

However, it should be noted that there were many external factors from the war that influenced these figures. For example, gender ratios among the adult populations of many European countries was already skewed due to previous conflicts of the 20th century (namely WWI and the Russian Revolution), whereas the share of the male population eligible to fight in many Asian and African countries was lower than more demographically developed societies, as high child mortality rates meant that the average age of the population was much lower.

A breakdown of annual household incomes in Japan showed that around ***** percent of households earned less than *** million Japanese yen per year as of 2024. That year, the average annual household income of Japanese households was approximately *** million yen compared to a median household income of *** million yen.