39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

About this dataset

Context

The dataset presents the median household income across different racial categories in Trade Lake town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Trade Lake town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 98.08% of the total residents in Trade Lake town. Notably, the median household income for White households is $76,667. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $76,667.

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Trade Lake town.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 Trade Lake town median household income by race. You can refer the same here

In 2024, about 62.7 percent of the Asian community was employed. The highest employment rate was found among Mexican-Americans, at 64.1 percent, and the lowest employment rate was found among Puerto Ricans, at 55.2 percent. In total, around 60 percent of all working-age Americans were employed at this time.

About this dataset

Context

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

Key observations

The percent distribution of Trade Lake town population by race (across all racial categories recognized by the U.S. Census Bureau): 98.08% are white, 0.91% are some other race and 1.01% 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 Trade Lake town
• Population: The population of the racial category (excluding ethnicity) in the Trade Lake town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Trade Lake 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 Trade Lake town Population by Race & Ethnicity. You can refer the same here

This study into ethnic minority workers who have experienced problems at work was concerned with understanding more about how individuals went about dealing with the issues they faced. The project explored to whom people turned and what help they received and the extent to which they were able to get a resolution to their problems. This study focused on minority ethnic workers, Kurdish in Hackney, South Asian (originating from the Indian sub-continent) in Ealing and Caribbean in Lambeth. In-depth face-to-face interviews were undertaken with a total of 185 workers - 100 individually and 88 in 16 focus groups (three focus group participants were also interviewed individually) and 64 interviews with ‘key respondents’ who were officials from trade unions, advice agencies and community groups. Focus groups were not transcribed. The minority ethnic groups chosen represent long-established (Caribbean, followed by South Asian) and more recent (Kurdish) minority ethnic communities in the UK. The labour market position of each community is quite distinct, although not homogeneous, ranging from concentrations in local government, the health service and London Transport (Caribbeans in Lambeth); Heathrow airport related employment and heath service (South Asians in Ealing); food processing and small businesses (Kurds in Hackney). The research will theorise the lack of connection between different social actors (ethnic minority workers and trade unions) by considering whether the notion of intersectionality allows for a deeper understanding of how material structures and cultural meanings are interwoven and worked out in practice. The research will attempt to understand the linkages between, and relative significance of, different forms of social divisions as mediated by ethnicity, class, faith, secularism, gender, age, migration, etc. It will also explore whether barriers to engagement exist for some groups of ethnic minority workers in joining or taking part in trade unions and the reason why some workers choose alternative means of accessing support at work. The research will provide analysis of the needs and aspirations of ethnic minority workers, whose social networks, length of time since migration, and other factors, may affect the way support for work-based problems, are accessed. The ethnic groups chosen, located in different areas of London, operating in differing labour markets, allow for a theorisation of how people's life world identities develop specific geographies. The research will also develop theoretical insight into how (and if) these geographical communities form specific social and spatial networks to deal with problems at work. Face-to-face interviews and focus groups were conducted with minority workers in Hackney, Ealing and Lambeth, however only the interviews were transcribed. Key respondents (including advice and advocacy workers, trade union representatives and community organisation workers) were also interviewed.

Diversity in Tech Statistics: In today's tech-driven world, discussions about diversity in the technology sector have gained significant traction. Recent statistics shed light on the disparities and opportunities within this industry. According to data from various sources, including reports from leading tech companies and diversity advocacy groups, the lack of diversity remains a prominent issue. For example, studies reveal that only 25% of computing jobs in the United States are held by women, while Black and Hispanic individuals make up just 9% of the tech workforce combined. Additionally, research indicates that LGBTQ+ individuals are underrepresented in tech, with only 2.3% of tech workers identifying as LGBTQ+. Despite these challenges, there are promising signs of progress. Companies are increasingly recognizing the importance of diversity and inclusion initiatives, with some allocating significant resources to address these issues. For instance, tech giants like Google and Microsoft have committed millions of USD to diversity programs aimed at recruiting and retaining underrepresented talent. As discussions surrounding diversity in tech continue to evolve, understanding the statistical landscape is crucial in fostering meaningful change and creating a more inclusive industry for all. Editor’s Choice In 2021, 7.9% of the US labor force was employed in technology. Women hold only 26.7% of tech employment, while men hold 73.3% of these positions. White Americans hold 62.5% of the positions in the US tech sector. Asian Americans account for 20% of jobs, Latinx Americans 8%, and Black Americans 7%. 83.3% of tech executives in the US are white. Black Americans comprised 14% of the population in 2019 but held only 7% of tech employment. For the same position, at the same business, and with the same experience, women in tech are typically paid 3% less than men. The high-tech sector employs more men (64% against 52%), Asian Americans (14% compared to 5.8%), and white people (68.5% versus 63.5%) compared to other industries. The tech industry is urged to prioritize inclusion when hiring, mentoring, and retaining employees to bridge the digital skills gap. Black professionals only account for 4% of all tech workers despite being 13% of the US workforce. Hispanic professionals hold just 8% of all STEM jobs despite being 17% of the national workforce. Only 22% of workers in tech are ethnic minorities. Gender diversity in tech is low, with just 26% of jobs in computer-related sectors occupied by women. Companies with diverse teams have higher profitability, with those in the top quartile for gender diversity being 25% more likely to have above-average profitability. Every month, the tech industry adds about 9,600 jobs to the U.S. economy. Between May 2009 and May 2015, over 800,000 net STEM jobs were added to the U.S. economy. STEM jobs are expected to grow by another 8.9% between 2015 and 2024. The percentage of black and Hispanic employees at major tech companies is very low, making up just one to three percent of the tech workforce. Tech hiring relies heavily on poaching and incentives, creating an unsustainable ecosystem ripe for disruption. Recruiters have a significant role in disrupting the hiring process to support diversity and inclusion. You May Also Like To Read Outsourcing Statistics Digital Transformation Statistics Internet of Things Statistics Computer Vision Statistics

Between 1775 and 1841, the population of Cuba grew to almost six times its size, from approximately 170 thousand people to over one million. During these years, Cuba was a Spanish colony, where slavery remained legal. In 1841, slaves counted for almost 45% of the total population.

Sugar industry A large reason for this growth was the emergence of the sugar industry, as production was relocated from areas of the Caribbean where slavery was abolished (most notably Haiti in 1804 and Jamaica in 1834). Although Cuba had been a Spanish colony for almost three centuries before these figures begin, it was economically isolated and trade with other nations was restricted; following a brief occupation by the British in the 1860s, international trade became encouraged, and a slave-based plantation complex emerged. By the middle of the 19th century, Cuba had established itself as the largest producer of sugar in the world (a position that it held until the mid-20th century), with the U.S. as it's primary consumer.

Gender differences From the figures for 1827 and 1841, the disparities between the male and female populations become apparent. Males migrated to the Americas at a much higher rate than females, while African males were also captured and enslaved at a higher rate than females during the Atlantic slave trade. This is reflected in the slave and white populations, although the difference within the slave population is much greater. Conversely, among free people of color, the female population population is actually higher than the number of males; this was due to a number of reasons, such as higher rates of manumission among females (the ratio of female to male manumissions was estimated to be around 3:2 in the Caribbean in the 19th century) and higher life expectancy.

About this dataset

Context

The dataset tabulates the Trade Lake town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Trade Lake town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Trade Lake town.

Key observations

Among the Hispanic population in Trade Lake town, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 18 (51.43% of the total 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.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Trade Lake town
• Population: The population of the specific origin for Hispanic or Latino population in the Trade Lake town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Trade Lake town total Hispanic or Latino 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 Trade Lake town Population by Race & Ethnicity. You can refer the same here

The purpose of this study was to assess voter attitudes towards the energy crisis in California, opening the Mexican border and general policy priorities for 2001. Respondents were asked about their top priorities for local officials in 2001, whether or not they have heard of Governor Gray Davis, the Public Utilities Commission, Southern California Edison, San Diego Gas and Electric, the Orange County Board of Supervisors, and Mexican President Vicente Fox and were asked if they had a favorable or unfavorable attitude toward each. Respondents were also asked who they felt was the most responsible for the energy crisis and how worried they were about electricity shortages or blackouts in their area. Respondents were asked how seriously they viewed the possibility of utility bankruptcy, and whether or not they felt the state should allow the utilities to go bankrupt. Further, respondents were asked a series of possible solutions to the energy crisis and how much of a difference they thought it would have on the current energy crisis. They were also asked how much they spent last month on their electricity bill. Respondents were asked a series of questions about proposals to open the border between the U.S. and Mexico: whether or not they favor doing so, who they felt would benefit the most from an open border, and perceived impact on the local economy. Respondents were asked whether they trusted the Orange County Board of Supervisors to handle several issues, including: counting election ballots, zoning and land use, budgeting and finances and deciding the future of the Marine Corps Air Station El Toro. Demographic v ariables include the length of time the respondent has been living in Orange County and the United States, political party identification, strength of party identification, actual party registration of the respondent (from county election sources), education, the number of housemates over the age of 18, date of birth, marital status, race (if they identified Hispanic, a sub-category is included), household income, and gender. There are also geographic variables including city of the respondent and a recoded variable for region of the county (North, Central, or South).

Women working in jobs classified as elementary trade professions were at a higher risk of dying from Coronavirus in England and Wales, when compared other jobs, as of April 2020. Corporate managers and directors had a death rate of 2.6 per 100 thousand women compared with 12.5 for women working in elementary trades.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This is the Swedish part of the 2003 'International Social Survey Program' (ISSP), and it is the second time ISSP focuses on national identity. The questions on national consciousness and national identity include: Identification with the town, the city, the region, the nation and with the respective continent; most important characteristics for national identity; identification with one's own nation and national pride (scale); perceived pride in the democracy of the country, the political influence of the country in the world, the economic achievement, the social security system, the scientific achievements, the achievements in sports, the achievements in arts or literature, the armed forces, the history and equal rights of all social groups in society; preference for protective duty to support the national economy; attitude to the right of international institutions to enforce solutions to be accepted nationally; attitude to enforcing national interests regardless of evoking conflicts with other countries; rejection of acquisition of land by foreigners in one's country; preference for national films in national television stations; damage done by large international companies to the local business; attitude to free trade; attitude to follow the decisions of international organisations even if the local government does not agree with them; international organisations take away too much power from the country; availability of worldwide information as a benefit of the internet; importance of sharing national customs and traditions to achieve full nationality; attitude to government support of national minorities to preserve their customs and habits; preference for assimilation of minorities or retention of their identity; hostility to foreigners and prejudices against immigrants (scale); attitude to a reduction of immigration of foreigners; respondents citizenship; citizenship of parents at birth of respondent; birthplace or citizenship of parents should allow naturalization of children; same rights for citizens and legal immigrants; attitude towards stronger measures regarding illegal immigrants; languages spoken at home; perceived ethnic affiliation and strength of this feeling; advantageousness of membership of the country in the EU; benefits from EU-membership; attitude towards a powerful EU-government.

Demographic variables include sex; age; marital status; steady life-partner; years in school, current employment status; current employment status of spouse; hours worked weekly; occupation of respondent and spouse (ISCO-88); respondent and spouse working for private, public sector or self-employed; supervisor function; union membership; household size; family income; respondents earnings; household composition; self-placement on a left-right continuum; party preference; vote last election; religious denomination; frequency of church attendance; self-placement on a top-bottom scale; region; town size, rural or urban region; ethnicity or nationality.

Purpose:

ISSP aims to design and implement internationally comparable attitude surveys. The study in 2003 investigating National Identity.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Trade Lake town, the largest racial group is White alone with a population of 945 (98.85% 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 Trade Lake town
• Population: The population of the racial category (for Non-Hispanic) in the Trade Lake town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Trade Lake town 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 Trade Lake town Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Trade Lake town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Trade Lake town, the median household income for the households where the householder is White increased by $10,487(15.85%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $66,180 in 2013 and $76,667 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Trade Lake town, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Trade Lake town.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 Trade Lake town median household income by race. You can refer the same here

About this dataset

Context

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

Key observations

There is a majority of male population, with 54.29% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Trade Lake town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Trade Lake 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 Trade Lake town Population by Race & Ethnicity. You can refer the same here