In 2024, white Americans remained the largest racial group in the United States, numbering just over 254 million. Black Americans followed at nearly 47 million, with Asians totaling around 23 million. Hispanic residents, of any race, constituted the nation’s largest ethnic minority. Despite falling fertility, the U.S. population continues to edge upward and is expected to reach 342 million in 2025. International migrations driving population growth The United States’s population growth now hinges on immigration. Fertility rates have long been in decline, falling well below the replacement rate of 2.1. On the other hand, international migration stepped in to add some 2.8 million new arrivals to the national total that year. Changing demographics and migration patterns Looking ahead, the U.S. population is projected to grow increasingly diverse. By 2060, the Hispanic population is expected to grow to 27 percent of the total population. Likewise, African Americans will remain the largest racial minority at just under 15 percent.

New York was the most populous state in the union in the year 1900. It had the largest white population, for both native born and foreign born persons, and together these groups made up over 7.1 million of New York's 7.2 million inhabitants at this time. The United States' industrial centers to the north and northeast were one of the most important economic draws during this period, and states in these regions had the largest foreign born white populations. Ethnic minorities Immigration into the agricultural southern states was much lower than the north, and these states had the largest Black populations due to the legacy of slavery - this balance would begin to shift in the following decades as a large share of the Black population migrated to urban centers to the north during the Great Migration. The Japanese and Chinese populations at this time were more concentrated in the West, as these states were the most common point of entry for Asians into the country. The states with the largest Native American populations were to the west and southwest, due to the legacy of forced displacement - this included the Indian Territory, an unorganized and independent territory assigned to the Native American population in the early 1800s, although this was incorporated into Oklahoma when it was admitted into the union in 1907. Additionally, non-taxpaying Native Americans were historically omitted from the U.S. Census, as they usually lived in separate communities and could not vote or hold office - more of an effort was made to count all Native Americans from 1890 onward, although there are likely inaccuracies in the figures given here. Changing distribution Internal migration in the 20th century greatly changed population distribution across the country, with California and Florida now ranking among the three most populous states in the U.S. today, while they were outside the top 20 in 1900. The growth of Western states' populations was largely due to the wave of internal migration during the Great Depression, where unemployment in the east saw many emigrate to "newer" states in search of opportunity, as well as significant immigration from Latin America (especially Mexico) and Asia since the mid-1900s.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Lancaster, the largest racial group is White alone with a population of 41,470 (45.08% 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 Lancaster
• Population: The population of the racial category (for Non-Hispanic) in the Lancaster is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Lancaster 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 Lancaster Population by Race & Ethnicity. You can refer the same here

How racially diverse are residents in Massachusetts? This topic shows the demographic breakdown of residents by race/ethnicity and the increases in the Non-white population since 2010.

The population of some areas in the United States is dominated heavily by one racial or ethnic group. These areas stand out on this map. In other areas, one group may be the majority, but the population is much more evenly balanced. Other areas have one group claiming a plurality, but not a majority.In each neighborhood, county, and state, this map shows which race or ethnicity is predominant, and by how much. It uses map colors to identify the predominant racial or ethnic group in specific areas by county and tract. The strength of the color indicates the extent to which one group is dominant over the next most populous.The data shown is from the U.S. Census Bureau's SF1 and TIGER data sets for 2010, and Esri. Concept and colors by Andrew Skinner.Original data sourced from: https://nation.maps.arcgis.com/apps/OnePane/splash/index.html?appid=602849530f5d4b6781ba37393144728c

The EEO Tabulation is sponsored by four Federal agencies consisting of the Equal Employment Opportunity Commission (EEOC), the Employment Litigation Section of the Civil Rights Division at the Department of Justice (DOJ), the Office of Federal Contract Compliance Programs (OFCCP), and the Office of Personnel Management (OPM), and developed in conjunction with the U.S. Census Bureau..Supporting documentation on code lists and subject definitions can be found on the Equal Employment Opportunity Tabulation website. https://www.census.gov/topics/employment/equal-employment-opportunity-tabulation.html.Source: U.S. Census Bureau, 2014-2018 American Community Survey.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 https://www.census.gov/programs-surveys/acs/technical-documentation.html The effect of nonsampling error is not represented in these tables)..The U.S. Census Bureau collects race data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB). Except for the total, all race and ethnicity categories are mutually exclusive. "Black" refers to Black or African American; "AIAN" refers to American Indian and Alaska Native; and "NHPI" refers to Native Hawaiian and Other Pacific Islander. "Balance of Not Hispanic or Latino" includes the balance of non-Hispanic individuals who reported multiple races or reported Some Other Race alone. For more information on race and Hispanic origin, see the Subject Definitions at https://www.census.gov/programs-surveys/acs/technical-documentation.html..Race and Hispanic origin are separate concepts on the American Community Survey. "White alone Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported race as "White" and no other race. "All other Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported a race other than "White," either alone or in combination..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..The 2014-2018 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..Explanation of Symbols: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 "(X)" means that the estimate is not applicable or not available.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 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 "-" 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.

While behavioral and social sciences occupations comprise one of the largest portions of the “STEM” workforce, most studies of diversity in STEM overlook this population, focusing instead on fields such as biomedical or physical sciences. This study evaluates major demographic trends and productivity in the behavioral and social sciences research (BSSR) workforce in the United States during the past decade. Our analysis shows that the demographic trends for different BSSR fields vary. In terms of gender balance, there is no single trend across all BSSR fields; rather, the problems are field-specific, and disciplines such as economics and political science continue to have more men than women. We also show that all BSSR fields suffer from a lack of racial and ethnic diversity. The BSSR workforce is, in fact, less representative of racial and ethnic minorities than are biomedical sciences or engineering. Moreover, in many BSSR subfields, minorities are less likely to receive funding. We point to various funding distribution patterns across different demographic groups of BSSR scientists, and discuss several policy implications.

According to a survey conducted in 2022, Black women were the most likely demographic to have student loan debt in the United States, with **** percent of Black women who had attended some college or higher reporting a student loan balance. In comparison, **** percent of Hispanic women and **** percent of White women in the United States with at least some college or higher had student loan debt in 2022.

The EEO Tabulation is sponsored by four Federal agencies consisting of the Equal Employment Opportunity Commission (EEOC), the Employment Litigation Section of the Civil Rights Division at the Department of Justice (DOJ), the Office of Federal Contract Compliance Programs (OFCCP), and the Office of Personnel Management (OPM), and developed in conjunction with the U.S. Census Bureau..Supporting documentation on code lists and subject definitions can be found on the Equal Employment Opportunity Tabulation website. https://www.census.gov/topics/employment/equal-employment-opportunity-tabulation.html.Source: U.S. Census Bureau, 2014-2018 American Community Survey.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 https://www.census.gov/programs-surveys/acs/technical-documentation.html The effect of nonsampling error is not represented in these tables)..The U.S. Census Bureau collects race data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB). Except for the total, all race and ethnicity categories are mutually exclusive. "Black" refers to Black or African American; "AIAN" refers to American Indian and Alaska Native; and "NHPI" refers to Native Hawaiian and Other Pacific Islander. "Balance of Not Hispanic or Latino" includes the balance of non-Hispanic individuals who reported multiple races or reported Some Other Race alone. For more information on race and Hispanic origin, see the Subject Definitions at https://www.census.gov/programs-surveys/acs/technical-documentation.html..Race and Hispanic origin are separate concepts on the American Community Survey. "White alone Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported race as "White" and no other race. "All other Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported a race other than "White," either alone or in combination..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..The 2014-2018 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..Explanation of Symbols: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 "(X)" means that the estimate is not applicable or not available.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 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 "-" 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.

Narmeen07/fairface-trainval-race-balanced-200 dataset hosted on Hugging Face and contributed by the HF Datasets community

Distribution of the Texas PUDF [frequency (percentage)] based on race and ethnicity attributes, where AA: African American, NA:Native America, A/PI: Asian or Pacific Islander.

The EEO Tabulation is sponsored by four Federal agencies consisting of the Equal Employment Opportunity Commission (EEOC), the Employment Litigation Section of the Civil Rights Division at the Department of Justice (DOJ), the Office of Federal Contract Compliance Programs (OFCCP), and the Office of Personnel Management (OPM), and developed in conjunction with the U.S. Census Bureau..Supporting documentation on code lists and subject definitions can be found on the Equal Employment Opportunity Tabulation website. https://www.census.gov/topics/employment/equal-employment-opportunity-tabulation.html.Source: U.S. Census Bureau, 2014-2018 American Community Survey.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 https://www.census.gov/programs-surveys/acs/technical-documentation.html The effect of nonsampling error is not represented in these tables)..The U.S. Census Bureau collects race data in accordance with guidelines provided by the U.S. Office of Management and Budget (OMB). Except for the total, all race and ethnicity categories are mutually exclusive. "Black" refers to Black or African American; "AIAN" refers to American Indian and Alaska Native; and "NHPI" refers to Native Hawaiian and Other Pacific Islander. "Balance of Not Hispanic or Latino" includes the balance of non-Hispanic individuals who reported multiple races or reported Some Other Race alone. For more information on race and Hispanic origin, see the Subject Definitions at https://www.census.gov/programs-surveys/acs/technical-documentation.html..Race and Hispanic origin are separate concepts on the American Community Survey. "White alone Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported race as "White" and no other race. "All other Hispanic or Latino" includes respondents who reported Hispanic or Latino origin and reported a race other than "White," either alone or in combination..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..The 2014-2018 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..Explanation of Symbols: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 "(X)" means that the estimate is not applicable or not available.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 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 "-" 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.

Distribution of preeclamptic patients among different race (AA: African American, NA: Native America, A/PI: Asian or Pacific Islander), and ethnic (Hispanic and non-Hispanic) groups in the Texas PUDF.

Release Date: 2016-09-23..Table Name. . Statistics for U.S. Employer Firms by Sources of Capital Used to Start or Acquire the Business by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014. ..Release Schedule. . This file was released in September 2016.. ..Key Table Information. . These data are related to all other 2014 ASE files.. Refer to the Methodology section of the Annual Survey of Entrepreneurs website for additional information.. ..Universe. . The universe for the 2014 Annual Survey of Entrepreneurs (ASE) includes all U.S. firms with paid employees operating during 2014 with receipts of $1,000 or more which are classified in the North American Industry Classification System (NAICS) sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. total.. In this file, "respondent firms" refers to all firms that reported gender, ethnicity, race, or veteran status for at least one owner or returned a survey form with at least one item completed and were publicly held or not classifiable by gender, ethnicity, race, and veteran status.. ..Geographic Coverage. . The data are shown for:. . United States. States and the District of Columbia. The top fifty most populous metropolitan areas. . ..Industry Coverage. . The data are shown for the total of all sectors (00) and the 2-digit NAICS code level.. ..Data Items and Other Identifying Records. . Statistics for U.S. Employer Firms by Sources of Capital Used to Start or Acquire the Business by Sector, Gender, Ethnicity, Race, Veteran Status, and Years in Business for the U.S., States, and Top 50 MSAs: 2014 contains data on:. . Number of firms with paid employees. Sales and receipts for firms with paid employees. Number of employees for firms with paid employees. Annual payroll for firms with paid employees. Percent of respondent firms with paid employees. Percent of sales and receipts of respondent firms with paid employees. Percent of number of employees of respondent firms with paid employees. Percent of annual payroll of respondent firms with paid employees. . The data are shown for:. . Gender, ethnicity, race and veteran status of respondent firms. . All firms. Female-owned. Male-owned. Equally male-/female-owned. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Some other race. Minority. Equally minority/nonminority. Nonminority. Veteran-owned. Equally veteran-/nonveteran-owned. Nonveteran-owned. All firms classifiable by gender, ethnicity, race, and veteran status. Publicly held and other firms not classifiable by gender, ethnicity, race, and veteran status. . . Years in business. . All firms. Firms less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. . . Sources of capital used to start or acquire the business. . All firms. Personal/family savings of owner(s). Personal/family assets other than savings of owner(s). Personal/family home equity loan. Personal credit card(s) carrying balances. Business credit card(s) carrying balances. Business loan from federal, state, or local government. Government-guaranteed business loan from a bank or financial institution. Business loan from a bank or financial institution. Business loan/investment from family/friends. Investment by venture capitalist(s). Grants. Other source(s) of capital. Don't know. None needed. Total reporting. Item not reported. . . . ..Sort Order. . Data are presented in ascending levels by:. . Geography (GEO_ID). NAICS code (NAICS2012). Gender, ethnicity, race, and veteran status (ASECB). Years in business (YIBSZFI). Sources of capital used to start or acquire the business (STRTSRCE). . The data are sorted on underlying control field values, so control fields may not a...

In 2023, Buzzfeed's administration was the company's most diverse department, with a balanced participation of Black, Hispanic, or Latinx workers. Amongst those, white employees represented around 34.43 of the division's workforce quota. Overall, the majority of Buzzfeed's employees were White.

This statistic gives information on the percentage of U.S. adult cell phone owners who use their phones to check bank account balanced or do any online banking, by ethnicity. During the 2012 survey, it was found that 35 percent of adult Hispanic cell phone owners in the United States accessed online banking services on their phone.

We report the average (Avg), standard deviation (SD), minimum (Min), first quartile (Q1), median, third quartile (Q3), and maximum (Max) values.

In 2023, the greatest share of players by ethnic group in the National Football League (NFL) were black or African American athletes, constituting just over ** percent of players within the NFL. Despite the large population of Hispanic or Latino people within the United States, there is a substantial underrepresentation within the NFL, with only *** percent of players identifying as such. National Football League The National Football League (NFL) is a professional American football league that was established in 1920 and now consists of 32 clubs divided into two conferences, the National Football Conference (NFC) and the American Football Conference (AFC). The league culminates in the Super Bowl, the NFL's annual championship game. As the league’s championship game, the Super Bowl has grown into one of the world's largest single-day sporting events, attracting high television ratings and generating billions of dollars in consumer spending. NFL revenues The NFL is one of the most profitable sports leagues in the world, generating a staggering **** billion U.S. dollars in 2022. This total revenue of all ** NFL teams has constantly increased over the past 15 years and, although this figure dropped significantly in 2020, this was largely as a result of the impact of coronavirus (COVID-19) containment measures. This significant drop in revenue demonstrates one of the primary impacts of COVID-19 on professional sports leagues. NFL franchises As a result of this profitability in non-pandemic times, the franchises of the NFL are attributed extremely high market values. The Dallas Cowboys were by far the most valuable franchise in the NFL, with a market value of **** billion US dollars in 2023. The high value of NFL franchises can be seen clearly when compared to those of the NBA, MLB, and NHL. Franchises within the NFL had an average market value of approximately *** billion U.S. dollars in 2023.

Frozen Pupusas Market Outlook

According to our latest research, the global Frozen Pupusas market size reached USD 425 million in 2024, reflecting the increasing demand for convenient, authentic Latin American cuisine worldwide. The market is projected to grow at a robust CAGR of 7.2% from 2025 to 2033, reaching an estimated USD 795 million by the end of the forecast period. This growth is primarily fueled by rising consumer interest in ethnic and ready-to-eat foods, expanding distribution networks, and the increasing popularity of frozen food products in both developed and emerging markets. As per our latest research findings, the Frozen Pupusas market is set to witness significant expansion, driven by evolving consumer preferences and market innovations.

The primary growth factor for the Frozen Pupusas market is the surging demand for convenient meal solutions among urban populations. With busy lifestyles and limited time for meal preparation, consumers are increasingly turning to frozen foods that offer both ease of preparation and authentic flavors. Pupusas, a traditional Salvadoran dish, have gained traction among diverse demographic groups beyond their native region due to their versatility and satisfying taste. The shift towards multicultural diets, especially among millennials and Gen Z consumers, has further propelled the popularity of frozen pupusas. Additionally, the increasing penetration of microwaves and freezers in households across the globe has made it easier for consumers to store and prepare frozen pupusas, further supporting market growth.

Another significant driver for the market is the growing influence of Latin American cuisine on global food trends. As consumers seek novel and diverse food experiences, frozen pupusas have emerged as a popular option in both retail and food service sectors. The introduction of innovative flavors and fillings, including vegetarian and vegan options, has broadened the appeal of frozen pupusas to health-conscious and flexitarian consumers. Manufacturers are also leveraging clean-label ingredients and sustainable packaging to cater to evolving consumer preferences. The increasing number of Latin American restaurants and food trucks in North America, Europe, and Asia Pacific has contributed to greater awareness and trial of pupusas, which in turn has boosted retail sales of frozen variants.

The expansion of distribution channels, particularly through supermarkets/hypermarkets, online retail, and specialty stores, is another crucial growth factor for the Frozen Pupusas market. Retailers are increasingly dedicating shelf space to ethnic and frozen foods, making pupusas more accessible to a wider consumer base. Online grocery platforms have also played a pivotal role in increasing the reach of frozen pupusas, allowing manufacturers to tap into new markets and demographics. Strategic partnerships between manufacturers and retailers, along with targeted marketing campaigns, have further enhanced brand visibility and consumer engagement. These developments, coupled with advancements in cold chain logistics, have ensured product quality and extended shelf life, supporting sustained market growth.

In addition to the growing popularity of pupusas, another Latin American dish that is gaining traction in the frozen food market is the Frozen Pabellon Criollo. This traditional Venezuelan dish, known for its rich flavors and hearty ingredients, is becoming a favorite among consumers seeking authentic ethnic meals. The dish typically consists of shredded beef, black beans, rice, and fried plantains, offering a balanced and flavorful meal option. As with pupusas, the convenience of having a ready-to-eat version of Pabellon Criollo appeals to busy consumers who crave traditional tastes without the time-consuming preparation. The introduction of Frozen Pabellon Criollo into the market highlights the expanding interest in diverse Latin American cuisines and the potential for further growth in this segment.

Regionally, North America continues to dominate the Frozen Pupusas market owing to a large Hispanic population, high consumer awareness, and a well-established frozen food infrastructure. Latin America, particularly El Salvador and neighboring countries, remains a key production and consumption hub, while Europe and Asia Pacific are emerging as attractive markets due to increasing inter

The results of a survey conducted in the United States in April 2023, show that ** percent of White respondents thought that images and videos that have been created by artificial intelligence should be considered art even though they are not made by humans, while ** percent in this generation disagreed. This makes them more critical in this matter than other ethnicities. For instance, the study found that Black and Hispanic respondents had a more balanced opinion on AI-creations being labelled as art.