Among countries with the highest number of overseas Chinese on each continent, the largest Chinese diaspora community is living in Indonesia, numbering more than ten million people. Most of these people are descendants from migrants born in China, who have moved to Indonesia a long time ago. On the contrary, a large part of overseas Chinese living in Canada and Australia have arrived in these countries only during the last two decades. China as an emigration country Many Chinese people have emigrated from their home country in search of better living conditions and educational chances. The increasing number of Chinese emigrants has benefited from loosened migration policies. On the one hand, the attitude of the Chinese government towards emigration has changed significantly. Overseas Chinese are considered to be strong supporters for the overall strength of Chinese culture and international influence. On the other hand, migration policies in the United States and Canada are changing with time, expanding migration opportunities for non-European immigrants. As a result, China has become one of the world’s largest emigration countries as well as the country with the highest outflows of high net worth individuals. However, the mass emigration is causing a severe loss of homegrown talents and assets. The problem of talent and wealth outflow has raised pressing questions to the Chinese government, and a solution to this issue is yet to be determined. Popular destinations among Chinese emigrants Over the last decades, English speaking developed countries have been popular destinations for Chinese emigrants. In 2022 alone, the number of people from China naturalized as U.S. citizens had amounted to over 27,000 people, while nearly 68,000 had obtained legal permanent resident status as “green card” recipients. Among other popular immigration destinations for Chinese riches are Canada, Australia, Europe, and Singapore.

This graph shows the population distribution of Chinese people living abroad in 2013 and 2023, by continent, according to official Taiwanese sources. By the end of 2023, around 2.44 million people of Chinese birth or descent who were living overseas were living in Europe. The figures of the source are in most cases higher - in some cases considerably higher - than figures published by the UN, as not only first generation migrants are included, but also their descendants.

This statistic shows the change in the United States' Chinese population from 1980 to 2010. In 1980, there were 814,000 Chinese-Americans (Chinese immigrants and people with Chinese heritage) living in the United States.

About this dataset

Context

The dataset tabulates the population of China town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of China town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.47% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the China town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of China town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for China town Population by Race & Ethnicity. You can refer the same here

This statistic shows the change in the number of foreign born Chinese-Americans living in the United States from 1980 to 2010. In 2010, there were approximately 2,389,000 foreign born Chinese-Americans living in the United States.

As of 2023, the bulk of the Chinese population was aged between 25 and 59 years, amounting to around half of the population. A breakdown of the population by broad age groups reveals that around 61.3 percent of the total population was in working age between 16 and 59 years in 2023. Age cohorts below 25 years were considerably smaller, although there was a slight growth trend in recent years. Population development in China Population development in China over the past decades has been strongly influenced by political and economic factors. After a time of high fertility rates during the Maoist regime, China introduced birth-control measures in the 1970s, including the so-called one-child policy. The fertility rate dropped accordingly from around six children per woman in the 1960s to below two at the end of the 20th century. At the same time, life expectancy increased consistently. In the face of a rapidly aging society, the government gradually lifted the one-child policy after 2012, finally arriving at a three-child policy in 2021. However, like in most other developed countries nowadays, people in China are reluctant to have more than one or two children due to high costs of living and education, as well as changed social norms and private values. China’s top-heavy age pyramid The above-mentioned developments are clearly reflected in the Chinese age pyramid. The age cohorts between 30 and 39 years are the last two larger age cohorts. The cohorts between 15 and 24, which now enter childbearing age, are decisively smaller, which will have a negative effect on the number of births in the coming decade. When looking at a gender distribution of the population pyramid, a considerable gender gap among the younger age cohorts becomes visible, leaving even less room for growth in birth figures.

About this dataset

Context

The dataset tabulates the population of China by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for China. The dataset can be utilized to understand the population distribution of China by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in China. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for China.

Key observations

Largest age group (population): Male # 15-19 years (53) | Female # 30-34 years (103). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the China population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the China is shown in the following column.
• Population (Female): The female population in the China is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in China for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for China Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of El Paso County by race. It includes the population of El Paso County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of El Paso County across relevant racial categories.

Key observations

The percent distribution of El Paso County population by race (across all racial categories recognized by the U.S. Census Bureau): 76.21% are white, 6.15% are Black or African American, 0.87% are American Indian and Alaska Native, 2.69% are Asian, 0.28% are Native Hawaiian and other Pacific Islander, 4.06% are some other race and 9.74% are multiracial.

https://i.neilsberg.com/ch/el-paso-county-co-population-by-race.jpeg" alt="El Paso County population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the El Paso County
• Population: The population of the racial category (excluding ethnicity) in the El Paso County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of El Paso County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for El Paso County Population by Race & Ethnicity. You can refer the same here

In New York City, the population of Chinese Americans has grown faster than that of any other minority racial/ethnic group, and now this community constitutes almost half of all Chinese Americans living in the northeastern United States. Nonetheless, scant research attention has been given to Chinese American ethnic enclaves and little is known about the health status of their residents. This study aims to help address this gap in the literature by: (1) improving our understanding of the spatial settlement of Chinese Americans living in New York City from 2000 to 2016; and (2) assessing associations between a New York City resident's likelihood of living in a Chinese American enclave and their access to health care and perceived health status, two measures of community health. In support of this aim, this study establishes a robust criterion for defining ethnic enclaves at the Census tract level in New York City as the communities of interest in this paper. An ethnic enclave is defined as an area at the Census tract level with high dissimilarity and a spatial cluster of Chinese Americans. The spatial findings were that Chinese Americans in New York City were least segregated from other Asian American residents, somewhat segregated from White residents, and most segregated from Black residents. Also, the population density of Chinese Americans increased since 2000, as reflected by their declining exposure index with other Asian Americans. Results from logistic regression indicated that the probability of living in a Chinese American enclave was negatively associated with positive self-perception of general health and positively associated with delays in receiving health care. For Chinese American residents of New York City, living in an ethnic enclave was also associated with both lower socioeconomic status and poorer community health.

About this dataset

Context

The dataset tabulates the population of Lisle by race. It includes the population of Lisle across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Lisle across relevant racial categories.

Key observations

The percent distribution of Lisle population by race (across all racial categories recognized by the U.S. Census Bureau): 71.53% are white, 4.43% are Black or African American, 16.29% are Asian, 2.12% are some other race and 5.62% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Lisle
• Population: The population of the racial category (excluding ethnicity) in the Lisle is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lisle total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Lisle Population by Race & Ethnicity. You can refer the same here

The U.S. Census defines Asian Americans as individuals having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent (U.S. Office of Management and Budget, 1997). As a broad racial category, Asian Americans are the fastest-growing minority group in the United States (U.S. Census Bureau, 2012). The growth rate of 42.9% in Asian Americans between 2000 and 2010 is phenomenal given that the corresponding figure for the U.S. total population is only 9.3% (see Figure 1). Currently, Asian Americans make up 5.6% of the total U.S. population and are projected to reach 10% by 2050. It is particularly notable that Asians have recently overtaken Hispanics as the largest group of new immigrants to the U.S. (Pew Research Center, 2015). The rapid growth rate and unique challenges as a new immigrant group call for a better understanding of the social and health needs of the Asian American population.

About this dataset

Context

The dataset tabulates the population of Los Angeles County by race. It includes the population of Los Angeles County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Los Angeles County across relevant racial categories.

Key observations

The percent distribution of Los Angeles County population by race (across all racial categories recognized by the U.S. Census Bureau): 39.63% are white, 7.86% are Black or African American, 1.12% are American Indian and Alaska Native, 14.83% are Asian, 0.24% are Native Hawaiian and other Pacific Islander, 22.68% are some other race and 13.64% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Los Angeles County
• Population: The population of the racial category (excluding ethnicity) in the Los Angeles County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Los Angeles County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles County Population by Race & Ethnicity. You can refer the same here

In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Lisle by race. It includes the distribution of the Non-Hispanic population of Lisle across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Lisle across relevant racial categories.

Key observations

Of the Non-Hispanic population in Lisle, the largest racial group is White alone with a population of 16,023 (74.21% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Lisle
• Population: The population of the racial category (for Non-Hispanic) in the Lisle is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lisle total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Lisle Population by Race & Ethnicity. You can refer the same here

In 2023, the employment rate in China decreased to around 63.09 percent, from 63.57 percent in the previous year. China is the world’s most populous country and its rapid economic development over the past decades has profited greatly from its large labor market. While the overall working conditions for the Chinese people are improving, the actual size of the working-age population in China has been shrinking steadily in recent years. This is mainly due to a low birth rate in the country.

Economic slowdown – impact on labor market

After decades of rapid development, the world’s second largest economy now seems to have difficulties to boost its economy further. The GDP growth rate indicated a declining trend over the last decade and the number of employed people decreased for the first time since decades in 2015. Under the influence of the global economic downturn, the coronavirus pandemic, and the US-China tensions, many Chinese enterprises are having tough times, which leads to a recession in China’s labor market.

Chances for better employment situation

The long-lasting Sino-U.S. trade war has caused China great loss on its international trade sector, which has been driving China’s economic growth for decades. However, there is also a lot China could improve. First, the potential of domestic demands could be further developed and satisfied with high-quality products. Second, it’s a good timing to eliminate backward industries with low value added, and the high-tech and environment-friendly industries should be further promoted. In addition, China’s market could be more open to services, especially in the financial sector and IT services, to attract more foreign investors. Highly skilled talents should be better valued in the labor market. Efficient vocational education and further education could also help change the structure of China’s labor market.

About this dataset

Context

The dataset tabulates the population of Troy by race. It includes the population of Troy across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Troy across relevant racial categories.

Key observations

The percent distribution of Troy population by race (across all racial categories recognized by the U.S. Census Bureau): 64.56% are white, 4.02% are Black or African American, 0.19% are American Indian and Alaska Native, 25.98% are Asian, 0.01% are Native Hawaiian and other Pacific Islander, 1.22% are some other race and 4.03% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Troy
• Population: The population of the racial category (excluding ethnicity) in the Troy is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Troy total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Troy Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Lomita by race. It includes the population of Lomita across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Lomita across relevant racial categories.

Key observations

The percent distribution of Lomita population by race (across all racial categories recognized by the U.S. Census Bureau): 49.81% are white, 4.04% are Black or African American, 0.54% are American Indian and Alaska Native, 14.82% are Asian, 0.53% are Native Hawaiian and other Pacific Islander, 14.84% are some other race and 15.41% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Lomita
• Population: The population of the racial category (excluding ethnicity) in the Lomita is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lomita total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Lomita Population by Race & Ethnicity. You can refer the same here

Snapshot img

Chinese Takeout Market Forecast 2024-2028

The Chinese Takeout Market size is forecast to increase by USD 21.06 billion, at a CAGR of 6.06% between 2023 and 2028. The accelerated growth of the market is due to various factors, including the growing popularity of Chinese cuisine, increasing social media marketing promoting Chinese takeouts and rapid urbanization and busy lifestyles demanding Chinese food takeouts.

What will be the Size of the Market During the Forecast Period?

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Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Key Market Driver

The growing popularity of Chinese cuisine is notably driving market growth. Globalization has facilitated the spread of Chinese cuisine to various parts of the world, exposing people to its diverse flavors and culinary traditions. As people travel more and experience different cultures, the appreciation for Chinese cuisine grows, driving the demand for takeout options over dining out even in non-Chinese communities. Furthermore, Chinese cuisine offers a wide array of dishes that cater to different tastes and preferences. They offer savory stir-fries, spicy Sichuan delicacies, and delicate dim sum. This versatility appeals to a broad audience, making Chinese takeout a popular choice for individuals and families seeking diverse and satisfying meals.

Moreover, the affordability and convenience of Chinese takeout play a significant role in its growing popularity. With busy lifestyles and increasing urbanization, consumers are drawn to the accessibility and quick service of Chinese takeout, making it a convenient option for both dine-in and delivery, which further drives the growth of the market during the forecast period

Key Market Trends

Increasing adoption of food platform-to-consumer delivery is an emerging trend shaping market growth. The market is witnessing a transformative trend with the increasing adoption of food platform-to-consumer delivery, reshaping how consumers access and enjoy their favorite Chinese dishes. Collaborations between online food delivery services and other sectors, such as Deliveroo Singapore partnering with TreeDots to reduce operating costs and food waste, are enhancing customer experiences and contributing to the market's growth.

Additionally, successful launches like GrabFood in Phnom Penh by Grab in Southeast Asia further underscore the market's expansion, offering on-demand delivery and a diverse selection of food and drink options to customers' doors. These initiatives are expected to drive sustained growth in the fast casual restaurants market during the forecast period. Fast casual restaurants, characterized by their quick service, affordable prices, and higher quality compared to traditional fast food, are increasingly leveraging delivery services like GrabFood to reach more customers effectively. As GrabFood expands its footprint in Southeast Asia, it enhances the accessibility and appeal of fast casual dining experiences, contributing to the overall growth and evolution of the market across the region.

Major Market Challenge

Rising health concerns related to food service are a significant challenge hindering market growth. This is due to increasing health concerns related to food services. Consumers, driven by a growing awareness of health issues like obesity, diabetes, and heart disease, are prioritizing healthier eating habits, posing a potential threat to Chinese takeout perceived as high in sodium, MSG, and unhealthy fats. The lack of transparency in ingredient sourcing and preparation methods within the industry exacerbates health concerns, as consumers remain uncertain about the nutritional content and quality of the food.

Additionally, food service packaging, including wrap and plastic containers, introduces contamination risks, with harmful substances from packaging materials, such as PFAS-coated food wrap, potentially entering the food and causing health problems. The use of recycled paper in packaging may further contribute to contamination, containing chemicals like mineral oils, phthalates, bisphenol A, and nonylphenol, posing health risks upon consumption. These issues may lead to a reduction in demand for food delivery and takeaway services, consequently limiting the growth of the market during the forecast period.

Market Customer Landscape

The market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and d

In 2023, the average per capita gross domestic product (GDP) in the Guangdong - Hong Kong - Macao Greater Bay Area ranged at 22,867 U.S. dollars. Per capita gross domestic product in Macao amounted to around 69,385 U.S. dollars in that year, ranking first among cities in the Greater Bay Area. The Greater Bay Area in China The political concept of the Guangdong - Hong Kong - Macao Greater Bay Area was introduced to the public in 2017 and further implemented by jointly signed agreements in the following years. It aims at integrating the special administrative regions of Macao and Hong Kong into the Chinese mainland and boosting the economy of all participating cities in the Pearl River Delta. The development plan for the Greater Bay Area is part of a national Chinese initiative to promote several economic city clusters in China. On the Chinese mainland, nine cities are part of the Greater Bay Area region, all of them located in Guangdong province: Shenzhen, Guangzhou, Zhuhai, Foshan, Zhongshan, Dongguan, Huizhou, Jiangmen, and Zhaoqing. In the long run, the joint plan intends to develop the region into the world's largest and economically most successful Bay Area. Per capita GDP in the Greater Bay Area In terms of per capita GDP, the more mature economies of Macao and Hong Kong are still ahead of mainland Chinese cities in the Greater Bay Area, although Shenzhen and Guangzhou belong to the most developed cities in the whole of mainland China. However, growth rates on the mainland are considerably higher than in Hong Kong and Macao. This is especially true for Shenzhen, which is famous for its past economic boom and has developed into a bustling high-tech location, home to the well-known computer and internet giants Huawei and Tencent.

About this dataset

Context

This list ranks the 20 Cities in the San Mateo County, CA by Multi-Racial Asian population, as estimated by the United States Census Bureau. It also highlights population changes in each Cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Multi-Racial Asian Population: This column displays the rank of Cities in the San Mateo County, CA by their Multi-Racial Asian population, using the most recent ACS data available.
• Cities: The Cities for which the rank is shown in the previous column.
• Multi-Racial Asian Population: The Multi-Racial Asian population of the Cities is shown in this column.
• % of Total Cities Population: This shows what percentage of the total Cities population identifies as Multi-Racial Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total San Mateo County Multi-Racial Asian Population: This tells us how much of the entire San Mateo County, CA Multi-Racial Asian population lives in that Cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.