As of October 2024, Los Angeles had the highest number of Japanese residents among cities outside Japan, with approximately ****** residents. In the same year, the United States remained by far the country with the largest Japanese population outside Japan.

As of October 2024, approximately 63,500 Japanese residents lived in Los Angeles, continuing the downward trend. Los Angeles had the largest Japanese population of any city outside Japan. In the same year, the United States was by far the country with the highest number of Japanese residents.

This statistics shows the leading metropolitan areas in the United States in 2023 with the highest percentage of Asian population. Among the 81 largest metropolitan areas, Urban Honolulu, Hawaii was ranked first with **** percent of residents reporting as Asian in 2023.

Hyogo Prefecture is located in the Kansai region of Japan. Kobe, its capital, is a part of the Osaka-Kyoto-Kobe metropolitan area, the second largest metropolitan area after Tokyo. Kobe has a unique atmosphere compared with other cities in Japan, with many Western-style structures and a strong international influence. Himeji Castle, located in Himeji City, is one of Japan's most famous castles, and has survived for over 400 years. Many non-Japanese reside in Hyogo Prefecture, the highest numbers of which being Chinese, Korean, Vietnamese, and American. Hyogo Prefecture is well known for its beautiful scenery, beaches, mountains, onsen, and of course, the world-famous Kobe Beef.

Premium Sake Market Outlook

According to our latest research, the global premium sake market size reached USD 2.14 billion in 2024, demonstrating robust growth fueled by increasing international demand and evolving consumer preferences. The market is set to expand at a CAGR of 7.8% from 2025 to 2033, projecting a value of approximately USD 4.23 billion by 2033. This steady growth trajectory is primarily driven by a surge in appreciation for authentic Japanese beverages, rising disposable incomes, and the globalization of culinary experiences.

One of the central growth drivers for the premium sake market is the rising global awareness and appreciation of Japanese culture, particularly its culinary traditions. As consumers worldwide seek novel and authentic gastronomic experiences, premium sake has emerged as a symbol of sophistication and authenticity. The proliferation of Japanese restaurants and fine dining establishments in major cities across North America, Europe, and Asia Pacific has significantly boosted the visibility of premium sake. Furthermore, the increasing participation in cultural festivals, food expos, and sake-tasting events has played a crucial role in introducing and educating new demographics about the nuanced flavors, brewing techniques, and heritage associated with premium sake. This cultural integration has not only expanded the consumer base but also fostered a deeper appreciation for quality and craftsmanship.

Another significant factor contributing to market expansion is the shift in consumer preferences toward premium and artisanal alcoholic beverages. Modern consumers, especially millennials and Gen Z, are displaying a marked inclination toward products with unique origin stories, artisanal production methods, and sustainable sourcing. Premium sake, with its centuries-old brewing traditions, natural ingredients, and meticulous craftsmanship, aligns perfectly with these evolving preferences. Producers are responding to this demand by innovating with new flavors, limited-edition releases, and collaborations with renowned chefs and mixologists. This trend is further amplified by the growing popularity of sake-based cocktails and fusion cuisine, which is broadening the appeal of premium sake beyond traditional consumption occasions and attracting a younger, more adventurous audience.

The premium sake market is also benefiting from advancements in distribution channels and packaging innovations. The proliferation of e-commerce platforms and online retail has made premium sake more accessible to a global audience, breaking down geographical barriers that once limited its reach. Strategic partnerships between sake producers and international distributors, as well as the introduction of attractive packaging formats such as cans and cartons, are making premium sake more convenient and appealing to modern consumers. Additionally, marketing efforts focused on sustainability, traceability, and health benefits are resonating with environmentally conscious and health-aware consumers, further bolstering market growth.

Regionally, Asia Pacific continues to dominate the premium sake market, accounting for the largest share due to Japan’s historical and cultural association with sake production and consumption. However, North America and Europe are emerging as high-growth regions, driven by rising consumer interest, expanding Japanese culinary influence, and increasing investments by key market players in marketing and distribution. The Middle East & Africa and Latin America, while still nascent markets, are showing promising potential as premium sake becomes more available in luxury hotels, high-end restaurants, and specialty retail outlets. This global expansion is expected to continue, supported by ongoing product innovation and targeted marketing strategies.

Product Type Analysis

The premium sake market is distinctly segmented by product type, encompassing Junmai Daiginjo, Junmai Ginjo, Daiginjo, Ginjo, and others. Among these, Junmai Daiginjo</b&g

Okonomiyaki Sauce Market Outlook

According to our latest research, the global Okonomiyaki Sauce market size reached USD 1.04 billion in 2024, reflecting strong demand across both traditional and emerging markets. The market is expected to grow at a CAGR of 5.8% from 2025 to 2033, with the forecasted market size anticipated to hit USD 1.73 billion by 2033. This robust growth is driven by increasing global interest in Japanese cuisine, ongoing product innovation, and expanding distribution channels, making Okonomiyaki sauce a staple not only in Japan but also in international markets.

One of the primary growth factors propelling the Okonomiyaki Sauce market is the rising global popularity of Japanese cuisine. As consumers worldwide seek authentic culinary experiences, Okonomiyaki—a savory Japanese pancake—has gained traction in both restaurants and home kitchens. This trend is further amplified by the proliferation of Japanese restaurants and food festivals in major cities across North America, Europe, and Asia Pacific. The unique umami-rich flavor profile of Okonomiyaki sauce, which blends sweet, tangy, and savory notes, has captivated a diverse consumer base. Additionally, food influencers and social media platforms have played a pivotal role in raising awareness and curiosity about Japanese food culture, leading to heightened demand for specialty sauces like Okonomiyaki sauce.

Another significant growth driver is the increasing focus on product innovation and health-conscious variants within the Okonomiyaki Sauce market. Manufacturers are responding to consumer preferences by introducing low-sodium, organic, and spicy versions of the classic sauce. These innovations cater to health-aware individuals and those seeking unique flavor experiences, thereby broadening the market’s appeal. Furthermore, packaging advancements—such as convenient sachets and eco-friendly bottles—are enhancing product accessibility and sustainability. As consumers become more discerning about ingredients and packaging, brands that prioritize transparency and health benefits are likely to gain a competitive edge.

The expansion of distribution channels has also played a crucial role in the market’s growth. With the rise of e-commerce, Okonomiyaki sauce is now readily available to consumers worldwide through online retail platforms, in addition to traditional supermarkets, hypermarkets, and specialty stores. This omnichannel presence ensures that consumers can conveniently access their preferred sauce variants, regardless of their location. Strategic partnerships between manufacturers and global retailers have facilitated broader market penetration, while targeted marketing campaigns have increased brand visibility. The growing presence of Okonomiyaki sauce in mainstream retail locations outside Japan underscores its transition from a niche product to a global pantry essential.

From a regional perspective, Asia Pacific continues to dominate the Okonomiyaki Sauce market, accounting for the largest share due to deep-rooted culinary traditions and high consumption rates in Japan. However, North America and Europe are emerging as lucrative markets, driven by the rising popularity of Japanese cuisine and increasing multiculturalism. In these regions, the market is characterized by a growing number of Japanese restaurants, specialty food stores, and enthusiastic home cooks experimenting with international flavors. While Latin America and the Middle East & Africa remain relatively nascent markets, they are poised for growth as urbanization and exposure to global food trends increase. Overall, the regional outlook for the Okonomiyaki Sauce market is optimistic, with significant opportunities for expansion and innovation.

Product Type Analysis

The Okonomiyaki Sauce market is segmented by product type into Traditional Okonomiyaki Sauce, Spicy Okonomiyaki Sauce, Low-Sodium Okonomiyaki Sauce, Organic Okonomiyaki Sauce, and Others. Traditional Okonomiyaki Sauce remains the cornerstone o

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2018-2022 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups.Other Asian, specified. Includes respondents who provided a response of another Asian group not shown separately, such as Malay or Tai Dam.Other Asian, not specified. Includes respondents who checked the "Other Asian" response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian," or "Asiatic." Two or more Asian. Includes respondents who provided multiple Asian responses such as Asian Indian and Japanese; or Vietnamese, Chinese and Hmong..The 2018-2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical Documentation.. section......Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the .Methodology.. section..Source: U.S. Census Bureau, 2014-2018 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see .ACS Technical Documentation..). The effect of nonsampling error is not represented in these tables..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups......Other Asian, specified. Includes respondents who provide a response of another Asian group not shown separately, such as Iwo Jiman, Maldivian, or Singaporean......Other Asian, not specified. Includes respondents who checked the "Other Asian" response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian," or "Asiatic."..... Two or more Asian. Includes respondents who provided multiple Asian responses such as Asian Indian and Japanese; or Vietnamese, Chinese and Hmong..While the 2014-2018 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:..An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself..An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution..An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution..An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An "(X)" means that the estimate is not applicable or not available....

High population density in metropolitan areas, paired with a promising socio-economic situation, made Japan into an early target for the expansion ambitions of the largest American fast food restaurant chains in the world, which entered Japan at the beginning of the 1970s. As of January 2025, McDonald’s was the leading fast food restaurant chain in Japan in terms of facilities, operating around ***** outlets. Other fast food restaurant chains of foreign origin, such as KFC, and Domino’s, have also recorded an extraordinary upward trajectory and are likewise firmly established in the Japanese market, operating over 1,000 facilities. Much of this explosive expansion of the largest chains was made possible by the franchise business model, which allows local operators to use the brand name in exchange for royalties. Fast food restaurant types Japan’s restaurant industry is enormous. This also means that it is highly saturated and incredibly contested. The success of Western-style fast food restaurant chains prompted the emergence of regional competition, as well as diversification in the local fast food industry. Japan’s most prominent native burger brand is MOS Burger, which was established shortly after KFC’s and McDonald’s entry into the Japanese market. The company was also able to aggressively expand and claim a large share of the fast food market for itself. Other than burger shops, the fast food segment in Japan also features bento shops, and pizza restaurants. The leading bento shop brands are Hotto Motto, and Hokka Hokka Tei, while Domino’s and Pizza Hut are the dominating pizza restaurant brands. Financial performance during the COVID-19 period The COVID-19 pandemic was a difficult period for the restaurant industry in Japan, during which the market contracted significantly. However, the impact was very different depending on the industry subsegment. While bars and drinking places, dinner restaurants, and coffee shops recorded abysmal sales revenues, the fast food segment actually grew during the period, proving to be the most resilient among all restaurant segments. One of the reasons for this was that some consumers shifted to food delivery during the worst periods of the pandemic.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Total includes people who reported Asian only, regardless of whether they reported one or more detailed Asian groups.Other Asian, specified. Includes respondents who provide a response of another Asian group not shown separately, such as Iwo Jiman, Maldivian, or Singaporean.Other Asian, not specified. Includes respondents who checked the "Other Asian" response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian," or "Asiatic." Two or more Asian. Includes respondents who provided multiple Asian responses such as Asian Indian and Japanese; or Vietnamese, Chinese and Hmong..The 2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.