In 2023, Japanese women who were ** years old were the age group with the highest average body weight, amounting to 57.9 kilograms. Women aged 26 to 29 years old had an average body weight of 52.8 kilograms.

According to a survey conducted in November 2023, most women in Japan were within the normal range of the body mass index (BMI). Around 69.7 percent of female respondents in the age group 30 to 39 years were of normal weight in terms of BMI, while about 12.4 percent were overweight. Weights control in Japan The majority of deaths in recent Japanese society are caused by lifestyle diseases. In order to reduce the number of deaths from lifestyle diseases, the Japanese government implemented a new annual metabolic syndrome examination in 2008 for citizens aged over 40 years old. People who are classified as having metabolic syndrome or pre-metabolic syndrome at the examination receive advice and support from a nutritionist to improve their diet and lifestyle habits. The government also introduced a new license Tokuho in 1991 for food and beverages that contain ingredients that can have a positive influence on the physiological function. Major companies in Japan currently produce a lot of food and drink products that can meet the requirement of the license. Despite those measures, the share of people in Japan that are classified as overweight has not fluctuated much in recent years. As of 2019, close to 32 percent of Japanese men were classified as obese. Underweight among young women In contrast to the people categorized as overweight, young female Japanese are facing an underweight problem. According to the survey, approximately 24 percent of women in their twenties and 18.3 percent of girls below 20 years old were reported as being underweight. The Japanese health ministry pointed out that the dissemination of beauty standards in society and media, alongside the flooded information about diet methods, are facilitating young Japanese women’s desire to be “thin.” To reduce the risk of health disorders, such as amenorrhea and osteoporosis among women, the government has set the goal of less than 15 percent of the female population under 30 years old to be underweight by 2032.

Introduction

Welcome to the Japanese Scripted Monologue Speech Dataset for the Delivery & Logistics Domain. This meticulously curated dataset is designed to advance the development of Japanese language speech recognition models, particularly for the Delivery & Logistics industry.

Speech Data

This training dataset comprises over 6,000 high-quality scripted prompt recordings in Japanese. These recordings cover various topics and scenarios relevant to the Delivery & Logistics domain, designed to build robust and accurate customer service speech technology.

Each scripted prompt is crafted to reflect real-life scenarios encountered in the Delivery & Logistics domain, ensuring applicability in training robust natural language processing and speech recognition models.

Transcription Data

In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.

PERIOD: Japan proper and South Sakhalin. 1917-1927. By region, 1927. NOTE: Excluding Sakhalin up to 1924. SOURCE: [Statistical Abstract of Conscription].

PERIOD: Japan proper and South Sakhalin.1928. NOTE: (In grams). SOURCE: [Statistical Abstract of Conscription].

Pregnancy outcomes for normal weight women in reference to weight gain.

Prevalence of thinness, normal weight, overweight and obesity in East Asian children and adolescents in 2022.

Introduction

Welcome to the Japanese Language Visual Speech Dataset! This dataset is a collection of diverse, single-person unscripted spoken videos supporting research in visual speech recognition, emotion detection, and multimodal communication.

Dataset Content

This visual speech dataset contains 1000 videos in Japanese language each paired with a corresponding high-fidelity audio track. Each participant is answering a specific question in a video in an unscripted and spontaneous nature.

Video Data

While recording each video extensive guidelines are kept in mind to maintain the quality and diversity.

Metadata

The dataset provides comprehensive metadata for each video recording and participant:

Sex ratio theory suggests that females should bias offspring sex ratios based on maternal condition and the availability of critical food resources. Work in birds indicates that females do, indeed, bias sex ratios according to maternal condition and food quality and quantity. Yet it is unknown whether these sex ratio skews occur due to fluctuations in particular micro- or macro-nutrients, caloric content overall, or even the perception of food availability. We hypothesized that dietary fats may drive biases in offspring sex ratios, because measures of maternal condition often reflect fat reserves, and fats are critical for the process of egg-laying in birds. To test this, we provided breeding Japanese quail, a species that biases sex ratios in response to maternal condition, with either a control breeding diet or a diet supplemented with two oils (safflower oil and flaxseed oil). These oils were chosen for their high omega-3 and omega-6 fatty acid content as well as their importance in mammalian sex allocation. We then measured influences of these diets on the sex ratio of offspring, the change in maternal weight, and the laying rates of female quail. The dietary oil supplements increased weight gains in quail but decreased the number of eggs laid during the experiment. There was no influence of the oil supplements on offspring sex ratios. This indicates that fat may not be a macro-nutrient involved in the process of sex ratio adjustment in quail. Methods Housing and Bird Care Sexually mature Japanese quail (Coturnix coturnix japonica) (n=65 males and 65 females) were pair-housed in wire cages (6”x12”x10”) with one male and one female per cage. Quail had ad libitum access to water and feed throughout the entire experiment through nipple drinkers and trough feeders. The quail cages were housed in a single, climate-controlled room with a light clock schedule of 14:10 hours of light to dark. These quail were part of a breeding colony maintained by the University of Georgia and were available for inclusion in this experiment when they were in peak lay, at approximately 24 weeks old. Japanese quail lay one egg per day, and clutch sizes range from 10–14 eggs per clutch (Lukanov and Pavlova 2020) with an average lag of 21.6h between successive clutches (Aggrey et al. 1993). In our breeding colony, we have noted similar clutch sizes, but rarely, we have observed females lay more than one egg per day, a phenomenon that has never been officially reported on in quail but has been observed previously in chickens (Navara and Wrobel 2019). The average fertility rates in previous studies of domestic quail were around 87% (reviewed in Lukanov and Pavlova 2020), though it is not uncommon in our breeding colony to see lower fertility rates, between 60 and 70%, in unmanipulated birds. It is still unknown whether wild Japanese quail are monogamous or polygynous; instead, it is likely that they can exhibit either mating strategy, but we maintain our birds in monogamous pairs, and female quail conduct all parental care in both wild and domestic situations. Design and Dietary Treatments The control diet was the standard quail layer diet used at the University of Georgia Poultry Research Facility (Table 1). Our high-fat diet was formulated by a poultry nutritionist at the University of Georgia (Dr. Woo Kim); it included 5% safflower seed oil (Hollywood® Safflower Oil) and 5% flaxseed oil (Puritan’s Pride® Natural Organic Flaxseed Oil) by weight and a reduction of carbohydrate content to account for the increased caloric load of the two added oils. We chose these amounts because it was the largest change in dietary fat that we could achieve without reducing a majority of the other critical nutrients in the diet other than carbohydrates. Overall, the formulation effectively elevated the fat content of the diet while simultaneously decreasing the carbohydrate content. We chose to decrease the carbohydrate content rather than increase the total caloric content of the diet because it would have been impossible to determine whether any effects caused were because of caloric content or a particular macronutrient. Unfortunately, it was impossible to adjust fat content by itself, so results will be interpreted with the understanding that carbohydrate content was reduced in this study as well, with the assumption that any effects we saw would need to be further examined to ensure that the decrease in carbohydrate content was not playing a role. We allocated 30 quail pairs to the fat-supplemented group and 35 pairs were allocated to stay on the control diet. The two groups remained on these diets for the remainder of the experiment. After two weeks on the dietary treatments, eggs were then collected for 14 days (Figure 1). We waited this two-week period because quail eggs can take anywhere from 4–7 days to complete rapid yolk deposition (Bacon and Koontz 1971); we wanted to be sure that all birds had acclimated to the treatment for at least two weeks and all eggs we measured were influenced by the dietary supplementation. We collected a total of 496 eggs from control females and 312 eggs from females on the experimental diet. Female body weights were measured both before and at the end of the experiment using a digital scale (accuracy 0.01g). Sexing of Offspring After collecting eggs, we stored them in a cooler at 4℃ for a maximum of seven days before transferring them to an incubator at 37.5℃ at 58% relative humidity for four days. The incubated eggs were then removed and frozen at -50℃. While some suggest that sexing unincubated eggs is a better method of detecting primary sex ratios (Klein et al., 2003), there have been questions about whether contamination with maternal granulosa cells may influence the results (Arnold et al. 2003a). We opted to incubate for four days, as we have in previous studies, because this provided ample embryonic tissue for DNA extraction (Gam et al. 2011, Pinson et al. 2015). A total of 332 eggs from control females and 187 eggs from females on the experimental diet were fertile, and embryos were collected from these eggs. The remaining 164 eggs from control females and 125 eggs from females on the experimental diet were infertile and did not yield embryonic material for sexing. To extract DNA from embryos, we used a standard salt extraction according to procedures described in Lambert et al. (2000). While eggs were still frozen, we removed their eggshells and weighed out 10–20mg of embryonic tissue. DNA amplification was focused around the CHD-1 alleles to visualize male and female sex chromosomes (Fridolfsson and Ellegren 1999). PCR primers and reaction concentrations were the same as specified in Pinson et al. (2015). Reaction times and temperatures were as described in Fridolfsson and Ellegren (1999). Primers used were 2550F (5'-GTTACTGATTCGTCTACGAGA-3') and 2718R (5'-ATTGAAATGATCCAGTGCTTG-3'). PCR products were visualized utilizing ethidium bromide staining of a 3% agarose gel. Male products presented as a single band while female products presented as two bands. Eggs for which there was no evidence of embryonic development were deemed to be infertile. Statistical Analyses To test whether the treatment influenced the sex ratio of embryos produced by females, embryos were coded as “1” for female and “0” for male. We then conducted a generalized linear mixed effects model, including dietary treatment, the change in weight, the log-transformed value of initial weight, and the interactions of these variables as fixed factors and female ID as a random effect. We conducted a similar analysis to test the effects of treatment on whether the eggs laid were fertile (fertile eggs were coded as “1” while infertile eggs were coded as “0”), and whether an egg was laid on a given day, since quail generally lay one egg per day (egg laid was coded as “1” while egg not laid was coded as “0”). Because quail in our population occasionally lay more than one egg per day, we also tested whether treatment influenced the incidence of double eggs using a logistic regression analysis; females that laid 2 eggs in one day were coded as “1” and females that did not were coded as “0”. Next, we tested whether the initial weight and/or change in weight of the females was related to the number of eggs they laid using general linear models. We tested whether female body weights were different between the two treatment groups at the beginning and the end of the experiment using a repeated measures ANOVA. The residuals of the initial and final weights were both non-normally distributed based on Shapiro-Wilks tests and needed to be log-transformed for analysis. We also tested whether treatment influenced the change in weight over the duration of the experiment using a general linear model with dietary treatment as the predictor variable and change in weight as the dependent variable. Differences were considered significant at p < 0.05 and results are reported below with means ± standard deviations. Statistical analyses were carried out using RStudio (version 4.2.1), using the lmer package for sex ratio analyses.

PERIOD: Japan proper and South Sakhalin. By region, 1933. Average weight, 1926-1933. SOURCE: [Statistical Abstract of Conscription].

【リソース】Volume 1_8-1_Trends in perinatal deaths by sex:Japan / Volume 1_8-2_Trends in perinatal death rates by sex:Japan / Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan / Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan / Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2015 / Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan / Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2015 / Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2015 / Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2015 / Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2015 / Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2015 / Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan / Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan / Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2015 / Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities / Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and period of gestation:Japan / Volume 3_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by maternal condition and causes on child (the list of three-character categories):Japan / Vital Statistics_Vital statistics of Japan_Final data_Perinatal mortality_Yearly_2015 / Volume 1_8-1_Trends in perinatal deaths by sex:Japan,Volume 1_8-2_Trends in perinatal death rates by sex:Japan,Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan,Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan,Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2015,Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan,Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2015,Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2015,Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2015,Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2015,Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2015,Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan,Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan,Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2015,Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities,Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities,Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan,Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan,Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth an

Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 5.200 % in 2024. This records an increase from the previous number of 5.100 % for 2023. Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 6.200 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 6.900 % in 2009 and a record low of 5.100 % in 2023. Japan JP: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate 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.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;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). 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. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

Japan JP: Tariff Rate: Applied: Weighted Mean: All Products data was reported at 2.550 % in 2016. This records an increase from the previous number of 2.300 % for 2015. Japan JP: Tariff Rate: Applied: Weighted Mean: All Products data is updated yearly, averaging 4.040 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 5.750 % in 2001 and a record low of 1.180 % in 2013. Japan JP: Tariff Rate: Applied: Weighted Mean: All Products 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.WDI: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

Introduction

This Japanese Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Japanese -speaking Real Estate customers. With over 40 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 40 hours of dual-channel call center recordings between native Japanese speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Japanese real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

PERIOD: Japan proper and South Sakhalin. By region, 1934. Average weight, 1926-1934. SOURCE: [Reports by the Army Ministry].

Introduction

Welcome to the Japanese General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of Japanese speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Japanese communication.

Curated by FutureBeeAI, this 40 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade Japanese speech models that understand and respond to authentic Japanese accents and dialects.

Speech Data

The dataset comprises 40 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Japanese. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

Topic Diversity

The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

Transcription

Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

Metadata

The dataset comes with granular metadata for both speakers and recordings:

Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

Usage and Applications

This dataset is a versatile resource for multiple Japanese speech and language AI applications:

Simple linear regression analysis on the prevalence of weight groups (thinness, normal weight, overweight, obesity) from 2010 to 2022 by country.

Japan tariff rates for 2022 was 1.64%, a 0.2% decline from 2021.

<ul style='margin-top:20px;'>

<li>Japan tariff rates for 2021 was <strong>1.84%</strong>, a <strong>0.38% decline</strong> from 2020.</li>
<li>Japan tariff rates for 2020 was <strong>2.22%</strong>, a <strong>1.31% decline</strong> from 2019.</li>
<li>Japan tariff rates for 2019 was <strong>3.53%</strong>, a <strong>1.08% increase</strong> from 2018.</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

Japan JP: Tariff Rate: Applied: Weighted Mean: Primary Products data was reported at 4.670 % in 2016. This records an increase from the previous number of 3.590 % for 2015. Japan JP: Tariff Rate: Applied: Weighted Mean: Primary Products data is updated yearly, averaging 5.450 % from Dec 1988 (Median) to 2016, with 29 observations. The data reached an all-time high of 13.020 % in 2001 and a record low of 1.130 % in 2013. Japan JP: Tariff Rate: Applied: Weighted Mean: Primary Products 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: Trade Tariffs. Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Primary products are commodities classified in SITC revision 3 sections 0-4 plus division 68 (nonferrous metals).; ; World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrated Data Base (IDB) and Consolidated Tariff Schedules (CTS) database.; ;

【リソース】Volume 1_8-1_Trends in perinatal deaths by sex:Japan / Volume 1_8-2_Trends in perinatal death rates by sex:Japan / Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan / Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan / Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2017 / Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan / Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2017 / Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2017 / Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2017 / Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2017 / Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2017 / Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan / Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan / Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2017 / Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities / Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and period of gestation:Japan / Volume 3_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by maternal condition and causes on child (the list of three-character categories):Japan / Vital Statistics_Vital statistics of Japan_Final data_Perinatal mortality_Yearly_2017 / Volume 1_8-1_Trends in perinatal deaths by sex:Japan,Volume 1_8-2_Trends in perinatal death rates by sex:Japan,Volume 1_8-3_Trends in perinatal deaths and perinatal death rates by month:Japan,Volume 1_8-4_Trends in perinatal deaths and percent distribution by birth weight:Japan,Volume 1_8-5_Perinatal deaths, perinatal death rates and percent distribution by sex and birth weight:Japan, 2017,Volume 1_8-6_Trends in perinatal deaths and perinatal death rates by age of mother:Japan,Volume 1_8-7_Perinatal deaths by age of mother and type of occupation of household:Japan, 2017,Volume 1_8-8_Perinatal death rates by age of mother and type of occupation of household:Japan, 2017,Volume 1_8-9_Perinatal deaths and perinatal death rates by sex and age of mother:Japan, 2017,Volume 1_8-10_Perinatal deaths and perinatal death rates by plurality of birth and birth order:Japan, 2017,Volume 1_8-11_Perinatal deaths, perinatal death rates and proportion of foetal deaths at 22 completed weeks and over of gestation:Japan, each prefecture and 21 major cities, 2017,Volume 1_8-12_Trends in perinatal deaths by each prefecture:Japan,Volume 1_8-13_Trends in perinatal death rates by each prefecture:Japan,Volume 1_8-14_Perinatal deaths and percent distribution by maternal condition and causes on child (the list of three-character categories):Japan, 2017,Volume 2_1_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities,Volume 2_2_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths) by sex, birth weight and mean birth weight:Japan, each prefecture and 21 major cities,Volume 2_3_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan,Volume 2_4_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth and birth order:Japan,Volume 2_5_Perinatal deaths (foetal deaths at 22 completed weeks and over of gestation, early neonatal deaths), birth weight and mean birth weight by sex, plurality of birth an