- The document analyzes ethnic relationships and family composition in Britain using data from 2004-2008. It finds that while 85% of individuals identified as White British, nearly 20% of children belonged to a minority group.
- Rates of inter-ethnic partnerships (relationships between people from different ethnic groups) were higher among minority groups compared to the White British majority. Groups that were more geographically concentrated or economically marginalized, such as Pakistanis and Bangladeshis, had lower rates of inter-ethnic partnerships.
- Younger individuals, those born in Britain, and men (with some exceptions) generally had higher rates of inter-ethnic partnerships compared to their respective groups. The analysis suggests Britain's population
Over half (57%) of black men have reached the middle class or higher by midlife according to a new analysis of census data. The study examines a cohort of black men born between 1957-1964 using data from the National Longitudinal Survey of Youth 1979. It finds that while 48% of black men in this cohort reached the middle class by their 50s, their economic fortunes were more volatile over time compared to white men. Black men who achieved financial success by age 50 were more likely to be college educated, work full time, and be married.
This document provides a summary of recent research related to racism. It begins with an introduction from Dr. Zarrin Siddiqui, the president of ECCWA Research, stating the organization's goal of promoting multiculturalism. The document then summarizes six research articles on topics related to racism, including how exposure to racism affects birth outcomes for African American women, the relationship between structural racism and risk of heart attacks among black Americans, and discourses of denial around racism in local anti-racism efforts in Australia. The introduction notes that ECCWA Research Briefs are intended to keep abreast of recent research important for ethnic communities and provide overviews of key issues.
The document provides information about Salvadorans in Boston from census data. It summarizes that Salvadorans make up about 11% of Latinos in Boston, concentrated in East Boston. Salvadorans have a median age of 30, lower educational attainment, and high labor force participation in service occupations. While Salvadoran households have a median income considered lower middle class, they experience higher rates of housing burden and lack of health insurance compared to other groups. The document examines Salvadoran demographics, living standards, and location within Boston.
The poll findings showed:
- 65% refused to answer whether they would encourage a close relative to join the PSNI, indicating lingering fears about policing.
- Support for public spending cuts over tax increases to address budget shortfalls, with majority support across demographic groups.
- Mixed views on reforms to Stormont, with broad support for reducing MLAs but rejection of an official opposition.
- Catholics tended to be more skeptical of changes to the 1998 agreements than other groups.
- Low ratings of the Northern Ireland Assembly's performance but also low support for abolishing Stormont.
- Majority opposition to an immediate unfunded cut to corporation tax that required initial spending reductions.
- Clear majority preference for
Dashboard 2015 - Boston Trends_07.29.15William Want
This document summarizes the findings of an analysis of socioeconomic and educational indicator data from Boston from 2003-2013 across race and gender. The analysis found:
1) General improvements in proficiency, high school graduation, and employment rates but persistent gaps between white males and black/Latino males.
2) Black and Latino males have significantly lower rates of proficiency, high school completion, higher education, and employment and higher rates of disconnection from school and work.
3) Gaps between white males and black/Latino males are increasing in many indicators, and black males generally have worse outcomes than black females.
The data analysis suggests inequities in educational opportunities that disproportionately provide fewer
First Nations and Metis Youth Suicide in SaskatchewanKelly C. Patrick
This document discusses the need for a national collaborative model to address high rates of suicide among Indigenous youth in Canada, specifically in Saskatchewan. It provides statistics showing Indigenous youth suicide rates are much higher than non-Indigenous youth. The document argues that factors like family structure, education, employment, and income contribute to hopelessness and calls for a population health model to bring together governments, communities, researchers, and healthcare providers to conduct long-term research and implement prevention strategies nationally.
The document summarizes key points about race and ethnic variations in the United States from a sociological perspective. It discusses the main racial and ethnic groups (White, Black or African American, Hispanic or Latino, Asian, and Native American), their historical contexts and transitions, common family and parenting characteristics, socioeconomic contexts and challenges. It also defines and distinguishes the concepts of race, ethnicity, prejudice, discrimination, assimilation, and acculturation.
From the Civil Rights to Incarceration Nation by Doctor BrownPATRICK MAELO
The document summarizes key points from an article by Dr. Brown about racial inequality and the rise of mass incarceration in the United States. Dr. Brown argues that racial hierarchies remain firmly entrenched, with African Americans facing higher arrest and conviction rates for drug crimes despite similar usage rates compared to whites. The success of the civil rights movement gave rise to purportedly race-neutral policies like the war on drugs that disproportionately impacted black communities. Dr. Brown also shows that incarceration rates are much higher for black women and that imprisonment negatively impacts former inmates' employment and family prospects. Statistical evidence from tables and graphs supports the finding that lack of education is linked to unemployment and imprisonment for African Americans.
Over half (57%) of black men have reached the middle class or higher by midlife according to a new analysis of census data. The study examines a cohort of black men born between 1957-1964 using data from the National Longitudinal Survey of Youth 1979. It finds that while 48% of black men in this cohort reached the middle class by their 50s, their economic fortunes were more volatile over time compared to white men. Black men who achieved financial success by age 50 were more likely to be college educated, work full time, and be married.
This document provides a summary of recent research related to racism. It begins with an introduction from Dr. Zarrin Siddiqui, the president of ECCWA Research, stating the organization's goal of promoting multiculturalism. The document then summarizes six research articles on topics related to racism, including how exposure to racism affects birth outcomes for African American women, the relationship between structural racism and risk of heart attacks among black Americans, and discourses of denial around racism in local anti-racism efforts in Australia. The introduction notes that ECCWA Research Briefs are intended to keep abreast of recent research important for ethnic communities and provide overviews of key issues.
The document provides information about Salvadorans in Boston from census data. It summarizes that Salvadorans make up about 11% of Latinos in Boston, concentrated in East Boston. Salvadorans have a median age of 30, lower educational attainment, and high labor force participation in service occupations. While Salvadoran households have a median income considered lower middle class, they experience higher rates of housing burden and lack of health insurance compared to other groups. The document examines Salvadoran demographics, living standards, and location within Boston.
The poll findings showed:
- 65% refused to answer whether they would encourage a close relative to join the PSNI, indicating lingering fears about policing.
- Support for public spending cuts over tax increases to address budget shortfalls, with majority support across demographic groups.
- Mixed views on reforms to Stormont, with broad support for reducing MLAs but rejection of an official opposition.
- Catholics tended to be more skeptical of changes to the 1998 agreements than other groups.
- Low ratings of the Northern Ireland Assembly's performance but also low support for abolishing Stormont.
- Majority opposition to an immediate unfunded cut to corporation tax that required initial spending reductions.
- Clear majority preference for
Dashboard 2015 - Boston Trends_07.29.15William Want
This document summarizes the findings of an analysis of socioeconomic and educational indicator data from Boston from 2003-2013 across race and gender. The analysis found:
1) General improvements in proficiency, high school graduation, and employment rates but persistent gaps between white males and black/Latino males.
2) Black and Latino males have significantly lower rates of proficiency, high school completion, higher education, and employment and higher rates of disconnection from school and work.
3) Gaps between white males and black/Latino males are increasing in many indicators, and black males generally have worse outcomes than black females.
The data analysis suggests inequities in educational opportunities that disproportionately provide fewer
First Nations and Metis Youth Suicide in SaskatchewanKelly C. Patrick
This document discusses the need for a national collaborative model to address high rates of suicide among Indigenous youth in Canada, specifically in Saskatchewan. It provides statistics showing Indigenous youth suicide rates are much higher than non-Indigenous youth. The document argues that factors like family structure, education, employment, and income contribute to hopelessness and calls for a population health model to bring together governments, communities, researchers, and healthcare providers to conduct long-term research and implement prevention strategies nationally.
The document summarizes key points about race and ethnic variations in the United States from a sociological perspective. It discusses the main racial and ethnic groups (White, Black or African American, Hispanic or Latino, Asian, and Native American), their historical contexts and transitions, common family and parenting characteristics, socioeconomic contexts and challenges. It also defines and distinguishes the concepts of race, ethnicity, prejudice, discrimination, assimilation, and acculturation.
From the Civil Rights to Incarceration Nation by Doctor BrownPATRICK MAELO
The document summarizes key points from an article by Dr. Brown about racial inequality and the rise of mass incarceration in the United States. Dr. Brown argues that racial hierarchies remain firmly entrenched, with African Americans facing higher arrest and conviction rates for drug crimes despite similar usage rates compared to whites. The success of the civil rights movement gave rise to purportedly race-neutral policies like the war on drugs that disproportionately impacted black communities. Dr. Brown also shows that incarceration rates are much higher for black women and that imprisonment negatively impacts former inmates' employment and family prospects. Statistical evidence from tables and graphs supports the finding that lack of education is linked to unemployment and imprisonment for African Americans.
Black Males, Social Imagery, and the Disruption of Pathological IdentitiesJonathan Dunnemann
Throughout the history of the U.S., racialized groups have often had their experiences profoundly shaped by social imagery in ways that have created tremendous hardships in the quest for
self-actualization and a healthy sense of self.
The purpose of this article is to shed light on the manner in which Black males have been one of the primary victims of negative social imagery and how the remnants of these constructions continue to have contemporary influences, ....
Women's rights in the middle east and noth africa, gulf editionYasmin AbdelAziz
This document summarizes a report on women's rights in Gulf Arab states. It finds that while discrimination persists, some progress has been made over the past five years in economic and political rights. Women's employment and education opportunities have grown, though cultural barriers remain. Legal protections have improved modestly, but enforcement is lacking. Domestic violence protections are minimal, and abused women rarely report incidents. Overall, women still face significant obstacles to full equality in law and society in the Gulf region.
The document discusses the State of Black America report published by the National Urban League. It celebrates the 40th anniversary of the report and discusses how it has become a benchmark for examining racial equality in America. It highlights some of the offerings from the 2016 report, including a complete website with data and analysis, a web series discussing the key findings, and the full report which is available online. It also discusses the Equality Index included in the report, which tracks racial equality using metrics in areas like economics, health, education, social justice, and civic engagement. The Equality Index for 2016 shows that black Americans have 72.2% of the equality that white Americans have. The document calls for a "Main Street Marshall Plan"
1. Gender inequality and patriarchy impinge on international order and justiceNgoclinhassignmentsupport
Gender inequality and patriarchal social structures in many developing countries limit women's participation in international order and justice. In patriarchal societies, men dominate women socially, politically, and economically. As a result, women face discrimination and are often excluded from educational opportunities, economic resources, and legal systems. These factors constrain women's ability to engage in international justice and order. Overcoming challenges like lack of education, limited economic roles, and cultural expectations of women requires significant efforts before equal participation can be achieved.
This document provides a demographic and economic profile of Haitians living in Boston based on Census data. It finds that there are approximately 13,887 Haitian immigrants in Boston, making Haitians the third largest foreign-born group. Haitians in Boston have lower educational attainment and income levels than other groups, with many working in service occupations. However, Haitian immigrants and their children still make important economic and cultural contributions to the city.
The document provides information about Dominicans in Boston from the Boston Planning & Development Agency. It notes that Dominicans make up 24% of Latinos in Boston and 32,126 Dominicans reside in the city according to 2015 estimates. Dominicans have the lowest levels of educational attainment compared to other groups, with 35% lacking a high school diploma. Over 40% of Dominicans in Boston live below the poverty line. The document contains detailed demographic data and maps about the Dominican population in Boston.
This document contains data on educational attainment and income levels among different racial groups in metropolitan Detroit. It shows that:
- Black residents have significantly lower levels of educational attainment across Detroit, Wayne, Oakland, and Macomb counties compared to other racial groups. They also have higher rates of poverty.
- Arab and Chaldean Americans, who are classified as white by the US Census, have similar rates of college education as the general population but higher rates of not having a high school diploma. Their incomes levels vary widely.
- Overall, the data illustrates substantial racial inequities in education, poverty, and income across the different regions in metropolitan Detroit.
The document provides a summary of demographic information about Guatemalans living in Boston based on Census data:
- Guatemalans make up about 3% of Boston's Latino population and are concentrated in East Boston, Dorchester, and Jamaica Plain.
- They have lower levels of education and English proficiency compared to other groups. Many work in service or blue-collar jobs.
- Guatemalans in Boston have a median household income lower than other groups and high rates of housing cost burden, but poverty rates are similar to non-Latinos.
This document is a 10,962 word dissertation submitted in partial fulfillment of an M.A. in Politics. The dissertation explores the extent to which gender activists have gained formal political space in Northern Ireland since the 1998 Good Friday Agreement.
The dissertation argues that despite the dominant and masculinized ethno-nationalist identities in the Northern Irish Assembly, feminist activists are overcoming gender legislative shortcomings by taking action in civic and grassroots society. While the Good Friday Agreement committed to gender equality, these commitments have not been enforced and the agreement has re-essentialized gender stereotypes.
The dissertation analyzes the input of the Northern Ireland Women's Coalition during peace negotiations and shows that while women were politically visible then
Analyzing the western states projected demographics through 2020czjones
This document analyzes projected demographic changes in California through 2020 and their implications. It finds that the Hispanic population will become the majority by 2019-2020, comprising around 50% of high school graduates. Fewer students overall will graduate high school, declining numbers for whites and blacks but growing numbers for Hispanics. Colleges will consequently have fewer enrolling students and a predominantly white student body. The education system and minority economic outcomes do not seem to change much despite population shifts, indicating persistent racial inequities.
This document provides demographic profiles of the Dominican population in Boston, which makes up 24% of the city's Latinos. Key points include: Dominicans have a median age of 26 and over a third are under 20; the majority are foreign-born but nearly half of those are naturalized citizens; about half speak English very well while over 90% speak Spanish at home; over 40% live below the poverty line.
This study compared racial preferences in mate choice between individuals raised in multicultural communities versus monocultural communities. A survey was administered to individuals from both types of communities. Results showed that individuals from multicultural communities demonstrated a preference for disassortative mating at a higher rate (57.4%) than those from monocultural communities (25.7%), who showed a preference for assortative mating (69.2%). A chi-squared test revealed a statistically significant difference between the groups. The findings suggest that evolutionary factors like increasing genetic homogeneity influence stronger assortative mating preferences in monocultural environments.
Discussing Gender and Internatonal Cultural RelationsDr Lendy Spires
Gender equality calls for women and men to have equal rights and entitlements to human, social, economic and cultural development, and an equal voice in civil and political life. This does not mean that women and men will become the same, but that women’s and men’s rights, responsibilities and opportunities do not depend on whether they are born male or female. The pursuit of gender equality has a long history. Especially in the West, it can be seen as an extension of the ongoing claims for liberty and equality unleashed by the French Revolution, when equality before the law became newly established as the basis of the social order.
Well into the 20th century, the extended struggle for the franchise has stood as the symbol of a much wider struggle by women playing a central role in extending, defending or giving substance to social citizenship rights. The call for equal rights for women resurfaced in the 1960s and 1970s alongside movements for civil and human rights, peace, the environment, and gay liberation. One of the major triumphs of this stage was the UN adoption of the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW) in 1979, the first international human-rights instrument to explicitly define all forms of discrimination against women as fundamental human-rights violations. CEDAW emphasised women's individual rights in opposition to those traditionalists who defend major inequalities in the status quo as the ‘complementary’ roles for men and women that nature intended. It called for the equality of men and women in public and political life, before the law and with respect to nationality rights, in education, employment, the provision of healthcare (including access to family planning services), and in marriage and family matters.
Another high point was the constitution of the new South Africa (1996 – built on the Women’s Charter for Effective Equality and the ANC’s 1993 Bill of Rights), which emphasises the equal citizenship of women and men and people of all races, by making provision for equal protection under the law, equal rights in the family, and in all areas of public life. In the last three to four decades, this pursuit of gender equality has brought successive challenges to many major areas of social, economic and political life, beginning with a quest for equal representation in the corridors of power, but developing into a broader critique of masculine bias and ‘power politics’, and the search for forms of mutual empowerment.
Palestinian American National Research ProjectJihan Khalaf
The document summarizes a report on the Palestinian American National Research Project. It was undertaken at the request of The General Delegation of the PLO to the United States to better understand the demography of Palestinian Americans. The report found that accurate census data on Palestinian Americans was lacking. It conducted focus groups in 15 cities to gather more information on the community. The report was prepared by Randa Serhan of American University and supported by various Palestinian American organizations. It acknowledges limitations in analyzing this population through census data due to undercounting of Arab Americans.
This document summarizes key points about LGBTQ older adults of color and efforts to serve this population through two pioneering organizations:
1) GRIOT Circle and Caring and Aging with Pride have developed innovative and culturally sensitive community programs and research to address the needs of LGBTQ older adults of color, who remain largely invisible in aging services.
2) LGBTQ older adults of color face greater health risks and barriers to care due to lifetime discrimination related to both their racial/ethnic and sexual identities.
3) GRIOT Circle, the first organization dedicated to serving LGBTQ older adults of color, has developed effective outreach like their Buddy-2-Buddy and Ambassador programs to connect isolated
This document discusses the high rate of high school dropouts in the United States. It notes that approximately 1.2 million students dropout each year, which is alarmingly high for a developed country. African Americans have the highest dropout rates at 56%, followed closely by Latinos at 54%. Poverty and racism are identified as key contributing factors. Those who dropout earn less on average and face higher unemployment. The purpose of the study is to explore the root causes of high dropout rates to identify effective solutions. Research questions focus on the problems caused by dropout, the relationship between poverty/racism and rates, and potential remedies. The study will use a qualitative design analyzing secondary data through literature review.
Fractionalization alesinassrn fractionalizationEspi Sul
This document presents new measures of ethnic, linguistic, and religious fractionalization for around 190 countries. It provides these measures to reexamine the relationship between fractionalization and economic growth and quality of institutions. The authors find that ethnic and linguistic fractionalization are negatively associated with growth and quality of government, while religious fractionalization shows no significant relationship or a slight positive one. The results depend on the specification used, and the variables are often highly correlated, making causal relationships difficult to determine precisely. Overall, the paper aims to provide more comprehensive fractionalization data and a nuanced analysis of the complex links between diversity and economic and political outcomes.
Family diversity in the UK has increased over time. There are now many different types of family structures, including cohabiting couples, lone parent families, reconstituted families with step-parents, and same-sex families. The reasons for increasing family diversity include industrialization, higher rates of divorce and remarriage, more women working outside the home, and greater social acceptance of alternative family forms. The 2011 UK Census found that less than half of households consisted of married couples, while over 10% were cohabiting couples or lone parent families.
This document discusses concepts related to marriage, family, and relationships. It begins by noting trends toward cohabitation rather than marriage and declining rates of the traditional nuclear family structure. It then defines marriage and family from legal and sociological perspectives. The rest of the document covers topics like different types of families, stages of family life, variations in family structures including single parents and same-sex couples, and theoretical perspectives on families from functionalism and conflict theory.
Black Males, Social Imagery, and the Disruption of Pathological IdentitiesJonathan Dunnemann
Throughout the history of the U.S., racialized groups have often had their experiences profoundly shaped by social imagery in ways that have created tremendous hardships in the quest for
self-actualization and a healthy sense of self.
The purpose of this article is to shed light on the manner in which Black males have been one of the primary victims of negative social imagery and how the remnants of these constructions continue to have contemporary influences, ....
Women's rights in the middle east and noth africa, gulf editionYasmin AbdelAziz
This document summarizes a report on women's rights in Gulf Arab states. It finds that while discrimination persists, some progress has been made over the past five years in economic and political rights. Women's employment and education opportunities have grown, though cultural barriers remain. Legal protections have improved modestly, but enforcement is lacking. Domestic violence protections are minimal, and abused women rarely report incidents. Overall, women still face significant obstacles to full equality in law and society in the Gulf region.
The document discusses the State of Black America report published by the National Urban League. It celebrates the 40th anniversary of the report and discusses how it has become a benchmark for examining racial equality in America. It highlights some of the offerings from the 2016 report, including a complete website with data and analysis, a web series discussing the key findings, and the full report which is available online. It also discusses the Equality Index included in the report, which tracks racial equality using metrics in areas like economics, health, education, social justice, and civic engagement. The Equality Index for 2016 shows that black Americans have 72.2% of the equality that white Americans have. The document calls for a "Main Street Marshall Plan"
1. Gender inequality and patriarchy impinge on international order and justiceNgoclinhassignmentsupport
Gender inequality and patriarchal social structures in many developing countries limit women's participation in international order and justice. In patriarchal societies, men dominate women socially, politically, and economically. As a result, women face discrimination and are often excluded from educational opportunities, economic resources, and legal systems. These factors constrain women's ability to engage in international justice and order. Overcoming challenges like lack of education, limited economic roles, and cultural expectations of women requires significant efforts before equal participation can be achieved.
This document provides a demographic and economic profile of Haitians living in Boston based on Census data. It finds that there are approximately 13,887 Haitian immigrants in Boston, making Haitians the third largest foreign-born group. Haitians in Boston have lower educational attainment and income levels than other groups, with many working in service occupations. However, Haitian immigrants and their children still make important economic and cultural contributions to the city.
The document provides information about Dominicans in Boston from the Boston Planning & Development Agency. It notes that Dominicans make up 24% of Latinos in Boston and 32,126 Dominicans reside in the city according to 2015 estimates. Dominicans have the lowest levels of educational attainment compared to other groups, with 35% lacking a high school diploma. Over 40% of Dominicans in Boston live below the poverty line. The document contains detailed demographic data and maps about the Dominican population in Boston.
This document contains data on educational attainment and income levels among different racial groups in metropolitan Detroit. It shows that:
- Black residents have significantly lower levels of educational attainment across Detroit, Wayne, Oakland, and Macomb counties compared to other racial groups. They also have higher rates of poverty.
- Arab and Chaldean Americans, who are classified as white by the US Census, have similar rates of college education as the general population but higher rates of not having a high school diploma. Their incomes levels vary widely.
- Overall, the data illustrates substantial racial inequities in education, poverty, and income across the different regions in metropolitan Detroit.
The document provides a summary of demographic information about Guatemalans living in Boston based on Census data:
- Guatemalans make up about 3% of Boston's Latino population and are concentrated in East Boston, Dorchester, and Jamaica Plain.
- They have lower levels of education and English proficiency compared to other groups. Many work in service or blue-collar jobs.
- Guatemalans in Boston have a median household income lower than other groups and high rates of housing cost burden, but poverty rates are similar to non-Latinos.
This document is a 10,962 word dissertation submitted in partial fulfillment of an M.A. in Politics. The dissertation explores the extent to which gender activists have gained formal political space in Northern Ireland since the 1998 Good Friday Agreement.
The dissertation argues that despite the dominant and masculinized ethno-nationalist identities in the Northern Irish Assembly, feminist activists are overcoming gender legislative shortcomings by taking action in civic and grassroots society. While the Good Friday Agreement committed to gender equality, these commitments have not been enforced and the agreement has re-essentialized gender stereotypes.
The dissertation analyzes the input of the Northern Ireland Women's Coalition during peace negotiations and shows that while women were politically visible then
Analyzing the western states projected demographics through 2020czjones
This document analyzes projected demographic changes in California through 2020 and their implications. It finds that the Hispanic population will become the majority by 2019-2020, comprising around 50% of high school graduates. Fewer students overall will graduate high school, declining numbers for whites and blacks but growing numbers for Hispanics. Colleges will consequently have fewer enrolling students and a predominantly white student body. The education system and minority economic outcomes do not seem to change much despite population shifts, indicating persistent racial inequities.
This document provides demographic profiles of the Dominican population in Boston, which makes up 24% of the city's Latinos. Key points include: Dominicans have a median age of 26 and over a third are under 20; the majority are foreign-born but nearly half of those are naturalized citizens; about half speak English very well while over 90% speak Spanish at home; over 40% live below the poverty line.
This study compared racial preferences in mate choice between individuals raised in multicultural communities versus monocultural communities. A survey was administered to individuals from both types of communities. Results showed that individuals from multicultural communities demonstrated a preference for disassortative mating at a higher rate (57.4%) than those from monocultural communities (25.7%), who showed a preference for assortative mating (69.2%). A chi-squared test revealed a statistically significant difference between the groups. The findings suggest that evolutionary factors like increasing genetic homogeneity influence stronger assortative mating preferences in monocultural environments.
Discussing Gender and Internatonal Cultural RelationsDr Lendy Spires
Gender equality calls for women and men to have equal rights and entitlements to human, social, economic and cultural development, and an equal voice in civil and political life. This does not mean that women and men will become the same, but that women’s and men’s rights, responsibilities and opportunities do not depend on whether they are born male or female. The pursuit of gender equality has a long history. Especially in the West, it can be seen as an extension of the ongoing claims for liberty and equality unleashed by the French Revolution, when equality before the law became newly established as the basis of the social order.
Well into the 20th century, the extended struggle for the franchise has stood as the symbol of a much wider struggle by women playing a central role in extending, defending or giving substance to social citizenship rights. The call for equal rights for women resurfaced in the 1960s and 1970s alongside movements for civil and human rights, peace, the environment, and gay liberation. One of the major triumphs of this stage was the UN adoption of the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW) in 1979, the first international human-rights instrument to explicitly define all forms of discrimination against women as fundamental human-rights violations. CEDAW emphasised women's individual rights in opposition to those traditionalists who defend major inequalities in the status quo as the ‘complementary’ roles for men and women that nature intended. It called for the equality of men and women in public and political life, before the law and with respect to nationality rights, in education, employment, the provision of healthcare (including access to family planning services), and in marriage and family matters.
Another high point was the constitution of the new South Africa (1996 – built on the Women’s Charter for Effective Equality and the ANC’s 1993 Bill of Rights), which emphasises the equal citizenship of women and men and people of all races, by making provision for equal protection under the law, equal rights in the family, and in all areas of public life. In the last three to four decades, this pursuit of gender equality has brought successive challenges to many major areas of social, economic and political life, beginning with a quest for equal representation in the corridors of power, but developing into a broader critique of masculine bias and ‘power politics’, and the search for forms of mutual empowerment.
Palestinian American National Research ProjectJihan Khalaf
The document summarizes a report on the Palestinian American National Research Project. It was undertaken at the request of The General Delegation of the PLO to the United States to better understand the demography of Palestinian Americans. The report found that accurate census data on Palestinian Americans was lacking. It conducted focus groups in 15 cities to gather more information on the community. The report was prepared by Randa Serhan of American University and supported by various Palestinian American organizations. It acknowledges limitations in analyzing this population through census data due to undercounting of Arab Americans.
This document summarizes key points about LGBTQ older adults of color and efforts to serve this population through two pioneering organizations:
1) GRIOT Circle and Caring and Aging with Pride have developed innovative and culturally sensitive community programs and research to address the needs of LGBTQ older adults of color, who remain largely invisible in aging services.
2) LGBTQ older adults of color face greater health risks and barriers to care due to lifetime discrimination related to both their racial/ethnic and sexual identities.
3) GRIOT Circle, the first organization dedicated to serving LGBTQ older adults of color, has developed effective outreach like their Buddy-2-Buddy and Ambassador programs to connect isolated
This document discusses the high rate of high school dropouts in the United States. It notes that approximately 1.2 million students dropout each year, which is alarmingly high for a developed country. African Americans have the highest dropout rates at 56%, followed closely by Latinos at 54%. Poverty and racism are identified as key contributing factors. Those who dropout earn less on average and face higher unemployment. The purpose of the study is to explore the root causes of high dropout rates to identify effective solutions. Research questions focus on the problems caused by dropout, the relationship between poverty/racism and rates, and potential remedies. The study will use a qualitative design analyzing secondary data through literature review.
Fractionalization alesinassrn fractionalizationEspi Sul
This document presents new measures of ethnic, linguistic, and religious fractionalization for around 190 countries. It provides these measures to reexamine the relationship between fractionalization and economic growth and quality of institutions. The authors find that ethnic and linguistic fractionalization are negatively associated with growth and quality of government, while religious fractionalization shows no significant relationship or a slight positive one. The results depend on the specification used, and the variables are often highly correlated, making causal relationships difficult to determine precisely. Overall, the paper aims to provide more comprehensive fractionalization data and a nuanced analysis of the complex links between diversity and economic and political outcomes.
Family diversity in the UK has increased over time. There are now many different types of family structures, including cohabiting couples, lone parent families, reconstituted families with step-parents, and same-sex families. The reasons for increasing family diversity include industrialization, higher rates of divorce and remarriage, more women working outside the home, and greater social acceptance of alternative family forms. The 2011 UK Census found that less than half of households consisted of married couples, while over 10% were cohabiting couples or lone parent families.
This document discusses concepts related to marriage, family, and relationships. It begins by noting trends toward cohabitation rather than marriage and declining rates of the traditional nuclear family structure. It then defines marriage and family from legal and sociological perspectives. The rest of the document covers topics like different types of families, stages of family life, variations in family structures including single parents and same-sex couples, and theoretical perspectives on families from functionalism and conflict theory.
This report examines the economic challenges facing LGBT women in the United States. It finds that LGBT women face discrimination and stigma that negatively impact their economic security. LGBT women struggle more than non-LGBT women and men to find and keep good jobs, access affordable health care, and support their families - burdens that fall most heavily on LGBT women of color, those with low incomes, and those raising children. The report provides recommendations to address these inequities through policy changes.
The document discusses a religious website called Christianity&Race that believes interracial marriage is a sin. The website uses quotes from religious texts and peer-reviewed studies to argue that interracial marriages have higher divorce rates and risks to potential children. However, the studies they cite do not conclusively prove that interracial marriages are less stable, as factors like age and education also impact divorce rates. The website could better study how satisfaction varies in same-race and interracial marriages of similar demographics over time.
A New Political Beat- Beyond Red and Blue StatesLerma Agency
Millennials are the most diverse generation in U.S. history and will have significant influence in the upcoming 2016 presidential election. A study found that while Millennials hold more liberal views than older generations on social issues, there are differences between ethnic groups - Hispanic Millennials are more likely than others to support labeling genetically engineered foods, for example. Surprisingly, Hispanic Millennials expressed the greatest national pride despite being the least likely to have deep American heritage. Overall, Millennials are more open-minded than previous generations and believe following politics is their responsibility, with the majority supporting left-leaning policies and the Democratic party.
The document discusses changes in family structure over time. It notes that traditional nuclear families of two parents and children are declining while single-parent families are increasing. Cultural norms around family ties also vary between countries, with some cultures fostering stronger extended family bonds and others being more individualistic. Strong family ties are associated with greater home production, less labor market participation especially for women and children, higher fertility rates, and more traditional gender roles.
CH. 8 Black FamiliesIngrid L. Cockhren, M.Ed1.docxsleeperharwell
CH. 8: Black Families
Ingrid L. Cockhren, M.Ed
1
How would you describe the makeup of your family??
We will cover all of that in the next 25 minutes!
2
Demographic Characteristics of The Black Family
Estimated 30% of U.S. families conform to traditional structure of father, mother, & child
3
Demographic Characteristics of The Black Family
Proportion of AAs who live in heterosexual, married coupled families has declined sharply over the last few decades such that marriage has become a minority lifestyle
34% of African Americans are married
22% are widowed, divorced, or separated
4 out of 10 African American men and women have never been married (highest of any racial group)
4
Do you plan on getting married??
We will cover all of that in the next 25 minutes!
5
Demographic Characteristics of The Black Family
Nearly half (48%) of all African American families are maintained by women with no spouse present.
75 percent of all Black children born in the last 2 decades are likely to live for some portion of their childhood with only their mothers.
Poverty is highest in families maintained by women with no spouse present.
35% of African American families
17% of White families
6
Which category best fits your parents??
We will cover all of that in the next 25 minutes!
7
Demographic Characteristics of The Black Family
AA women have the highest rates of martial separation & are more likely to remain separated without getting a legal divorce.
Why?
Cohabitation as an alternative to marriage is more common among Blacks
Why?
Possibly because male income & employment are lowest among minorities; male economic status may be an important determinant as to whether a man feels ready to marry and a woman wants to marry him
8
Characteristics of the Black Family
The Black family is an institution that contains “historical traditions” that set them apart from the European American, Middle class family ideal.
Billingsley (1968) proposes 5 general statements that characterize families of African descent:
They are extended in form
Have fictive kin
Have supportive family patterns
Have flexible family boundaries
Have flexible gender roles in child rearing
Nobles (1985) emphasizes the communalistic socialization of children & the role of the elderly
9
Characteristics of the Black Family
Perspective on the Black Family
A deficit perspective has historically been used to characterize African American families as deprived, disadvantaged, and poorly educated.
Many of the empirical investigations on Black families have used European American, middle –class families as the standard of comparison.
Using Whites as the standard is methodologically limited and often results in the biased interpretation of study findings.
10
Alternative Structures in the Black Family
Black Fathers
Much of the early research on Black children has been matricentric, or mother-centered
AA fathers represent a significant position in the Black fam.
CH. 8: Black Families
Ingrid L. Cockhren, M.Ed
1
How would you describe the makeup of your family??
We will cover all of that in the next 25 minutes!
2
Demographic Characteristics of The Black Family
Estimated 30% of U.S. families conform to traditional structure of father, mother, & child
3
Demographic Characteristics of The Black Family
Proportion of AAs who live in heterosexual, married coupled families has declined sharply over the last few decades such that marriage has become a minority lifestyle
34% of African Americans are married
22% are widowed, divorced, or separated
4 out of 10 African American men and women have never been married (highest of any racial group)
4
Do you plan on getting married??
We will cover all of that in the next 25 minutes!
5
Demographic Characteristics of The Black Family
Nearly half (48%) of all African American families are maintained by women with no spouse present.
75 percent of all Black children born in the last 2 decades are likely to live for some portion of their childhood with only their mothers.
Poverty is highest in families maintained by women with no spouse present.
35% of African American families
17% of White families
6
Which category best fits your parents??
We will cover all of that in the next 25 minutes!
7
Demographic Characteristics of The Black Family
AA women have the highest rates of martial separation & are more likely to remain separated without getting a legal divorce.
Why?
Cohabitation as an alternative to marriage is more common among Blacks
Why?
Possibly because male income & employment are lowest among minorities; male economic status may be an important determinant as to whether a man feels ready to marry and a woman wants to marry him
8
Characteristics of the Black Family
The Black family is an institution that contains “historical traditions” that set them apart from the European American, Middle class family ideal.
Billingsley (1968) proposes 5 general statements that characterize families of African descent:
They are extended in form
Have fictive kin
Have supportive family patterns
Have flexible family boundaries
Have flexible gender roles in child rearing
Nobles (1985) emphasizes the communalistic socialization of children & the role of the elderly
9
Characteristics of the Black Family
Perspective on the Black Family
A deficit perspective has historically been used to characterize African American families as deprived, disadvantaged, and poorly educated.
Many of the empirical investigations on Black families have used European American, middle –class families as the standard of comparison.
Using Whites as the standard is methodologically limited and often results in the biased interpretation of study findings.
10
Alternative Structures in the Black Family
Black Fathers
Much of the early research on Black children has been matricentric, or mother-centered
AA fathers represent a significant position in the Black fam ...
This document discusses poverty rates among different ethnic groups in Great Britain and analyzes reasons for differences in poverty rates. Some key findings are:
- Ethnic minority groups have poverty rates around twice that of white people, with rates varying significantly between groups.
- Differences in age structure, family type, and family work status between ethnic groups can account for around half of the excess poverty rates among minorities compared to white British people.
- Family work status has the biggest impact, with a large portion of Bangladeshi and Pakistani adults not working.
Essay about Interracial Marriage
Interracial Marriage
Essay about interracial marriages
Interracial Marriage
Interracial Marriages
Interracial Marriage
Interracial Marriage
The document discusses the history and challenges facing African American families in the United States. It describes how slavery made it difficult for African American slaves to form family units and the high mortality rates further complicated family formation. Over time, African American families developed their own system of kinship that emphasized extended family and community. However, policies in the 20th century disproportionately impacted African American families and removed children from their homes at higher rates due to biases in the system. Research shows African American children are overrepresented in the child welfare system today.
The document analyzes marital status patterns among the Tswana ethnic group in South Africa using data from the 2011 Census. It finds that younger age groups (20-24 and 25-29) have the highest proportions never married, while older groups (75-79 and 80+) have the highest proportions ever married. More Tswana males are never married compared to females, and more females are ever married. Those with no education have higher rates of ever being married. Logistic regression shows those who are younger, female, with secondary/primary education, unemployed, and living in traditional or Northern Cape/Limpopo areas have higher odds of being never married.
3 references not older than 2015If you are able to do at least o.docxdomenicacullison
3 references not older than 2015
If you are able to do at least one reference from this book will be great.
Eliopoulos, Charlotte; Gerontological Nursing (9th Ed. 2018). Lippincott Williams & Wilkins
Week 3:
Paper #1 Due
The older population in the United States is becoming more ethnically and racially diverse. In addition to racial and ethnic diversity, there will be growing numbers of lesbian, gay, bisexual, and transgender persons entering their senior years who will present a unique set of challenges. The growing diversity of the older population presents challenges for gerontological nursing in providing culturally competent care.
Essential to the provision of culturally competent care is an understanding of:
The experiences of individuals of similar ethnic or racial background
Beliefs, values, traditions, and practices of various ethnic and racial groups
Unique health-related needs, experiences, and risks of various ethnic and racial groups and persons of similar sexual orientation
One’s own attitudes and beliefs toward people of various ethnic and racial groups and persons of similar sexual orientation, as well as those attitudes of copractitioners
Language barriers that can affect the ability of patients to communicate health-related information, understand instructions, provide informed consent, and fully participate in their care
Your assignment is to write a 2 to 3 page paper choosing one of the following groups of older adults and address how you will provide
cultural care
for this group or the individual:
• Hispanic Americans
• Black Americans
• Asian Americans
• Jewish Americans
• Muslim Americans
• Native Americans
• Gay, lesbian, bisexual, transgender
.
This document provides demographic, social, economic and housing characteristics for 14 race groups in Hawaii using 2011-2015 American Community Survey data. Some key findings include: Nearly a quarter of Hawaii's population is multiracial. The largest race groups are White, Filipino, Japanese, Native Hawaiian and Chinese. Median age and birthplace varies significantly between groups. Native Hawaiians have the highest Hawaii-born population while Marshallese have the highest foreign-born. Average household size is largest for Pacific Islanders and Native Americans and smallest for Whites.
Race Culture and EthnicityLakisha PhillipsAshfor.docxcatheryncouper
Race: Culture and Ethnicity
Lakisha Phillips
Ashford University
ANT 101 Introduction to Cultural
April/28/2014
Race: Culture and Ethnicity
Introduction
Over years, research work has been done on numerous aspects of the race. Some of the research work has shown that there is exists a strong correlation between the cultural aspect as well as the ethnicity when the race of an individual is brought into consideration. From an emic perspective, one can view intricate aspects of race such as culture and ethnicity as a way of life. In short, one views their race as the main contributing factor as to why they behave, think of others, perceive other cultures as well as treat others. From an etic perspective, other people view different races differently depending on the general feelings. When taking an external perspective of racial issues, culture and ethnicity plays a very crucial role.
The topic chosen for study is: Race. This is covered in chapter three of the study text. More specifically Chapter Three analyses race and ethnicity as an offshoot of biology and culture.
Article 1: Betancourt, H., & Lopez, S. R. (1993). The study of culture, ethnicity, and race in American psychology. American Psychologist, 48(6), 629.
Thesis statement: “This study assessed the relationship between culture, ethnicity and various issues surrounding race as carried out by the American Psychology Association.” (Betancourt &Lopez, 1993).
Analysis of the article
Article 1 summarizes the key facts from the research done by the American Psychology Association about the interconnection between culture, ethnicity and an array of other factors driven by race. In the groups of individuals studied, there are a number of the explanatory variables and factors which point at congruence of the effects compelled by culture, ethnicity and as well as racial factors. The psychological effect is furthered by an apparent confusion in conceptual differentiation of culture and ethnicity. As defined, culture focuses on way of life as a result of habits and behaviors picked from the environment around us. Alternatively, this could be as a result of the way we do things and this ends up making us different from other people in terms of how we think, conduct ourselves, learn, worship and interact with others. Ethnicity matters stem from our roots. The roots, in this case, could mean our originality and family trees. The research work goes to on to cross examine how different social variables play an important part in shaping of different cultural perspectives. This is how the social cultural perspectives are bought into play.
Article 2: Glenn, E. N. (2009). Unequal freedom: How race and gender shaped American citizenship and labor. Harvard University Press.
Thesis statement: “This study assessed the roots of unequal freedom in terms of how gender and race have shaped the citizenship and labor.” (Glenn, 2009)
Analysis of the article
Race and ethnicity have crea ...
The document discusses findings from the National Survey of American Life (NSAL) regarding mental health differences among racial and ethnic groups in the United States. It finds that while race is an important factor, there are also differences between ethnic groups like African Americans, Afro-Caribbeans, and whites. Immigrant status and ancestry were found to impact mental health outcomes for Afro-Caribbeans. The study also looked at multigenerational families and found mental health disparities are influenced by multiple social and biological factors over the life course, not any single cause.
Poverty in the Lesbian, Gay, and Bisexual USLGBTBIZHUB.com
EXECUTIVE SUMMARY
A severe global recession has brought heightened attention to poverty in the United States as the poverty rate rose over time, leveling off at 15.0% in 2011. Recent U.S. Census Bureau data demonstrates the persistence of higher poverty rates for African Americans, Latinos, Asian Americans, Children, single mothers, people with disabilities, and other groups, for example. An earlier Williams Institute study and other research showed that lesbian, gay, and bisexual (LGB)
people we are also more vulnerable to being poor, and this
study updates and extends that earlier report.
FOR MORE INFORMATION:
The Williams Institute, UCLA School of Law
Box 951476
Los Angeles, CA 90095-1476
(310) 267-4382
williamsinstitute@law.ucla.edu
www.law.ucla.edu/williamsinstitute
Chapter 26 TRENDS AND CHALLENGES OF CULTURAL DIVERSITYR. DONNA.docxcravennichole326
Chapter 26 TRENDS AND CHALLENGES OF CULTURAL DIVERSITY
R. DONNA PETRIE
We are born in families, whether small or large, with one or more parenting figures. These families are embedded in a web of other families, all of which are part of a particular society or culture. In the United States families share a common culture because they all live in one country, but they also share a family culture that may or may not be like the culture of the nation. It is virtually impossible to overemphasize the influence an individual’s family culture has on the day-to-day activities of any given person’s life. In this country it is also nearly impossible to overestimate the points of difference within cultures and between cultures. Diversity itself has historically represented a core component of the democratic fabric of that which defines American life. This position and role is as viable today in 2003 as it was during the past two centuries.
The purpose of this chapter is to broadly introduce the challenges of multicultural human service work. These challenges are threefold. First, human service professionals need to have an understanding of specific value areas wherein misunderstanding between cultures is likely to occur; second, workers need to understand different cultural models of healing and caring; and finally, human service professionals, whether they think of themselves as bicultural or as “American,” need to understand how they are seen as “agents” of mainstream American culture.
FUTURE POPULATION TRENDS
A decade ago the New York Times reported that the United States Census Bureau has had to recalculate population growth (Pear, 1992). The population of the United States, it appears, will continue to grow through 2050 rather than decline after the year 2038. To summarize, for the years 1990 to 2025 there will be more babies born, particularly to new immigrants, and the proportion of men to women is likely to even out, as the life expectancy of men appears to be rising faster than that of women.
Despite this overall increase in the number of people in the United States, whites will account for a declining share in the population. The numbers of black Americans, Asian Americans, and Hispanic Americans will grow appreciably. Using the 1990 census, the Bureau predicts a 412.5 percent population growth for Asian and Pacific Islanders; a 237.5 percent growth in numbers for Hispanic Americans; a 109.1 percent increase in the number of Native American Indians, Eskimos, and Aleuts; and a 93.8 percent increase for black Americans. These figures contrast significantly with the 29.4 percent projected growth of white Americans from 1992 to 2050.
The Census Bureau makes the future trends somewhat more complex by noting that immigration by itself will account for the expected growth in the Asian American population and not the number of births. Birth rates are increasing among the black and Hispanic populations. The birth rate of whites, however, is not expecte ...
Manchester's Services for Minority Communities Report 2016Jonny Wineberg
This document summarizes the findings of a research study that examined the needs and views of minority communities in Manchester. It found that the top concerns were unemployment, financial security, racism, and mental health. Muslims expressed higher levels of worry across most issues surveyed. The qualitative responses revealed concerns about discrimination, lack of understanding between faiths, extremism, and language barriers. Recommendations included better services for jobs, finances, and policing in Muslim areas, as well as more opportunities for different groups to engage with each other.
Similar to Ethnicity and family Relationships within and between ethnic groups (20)
Ramadan travel report by master card crescent 2016Think Ethnic
The Muslim travel market is one of the fastest growing segments in the global travel industry. According
to the MasterCard-CrescentRating Global Muslim Travel Index (GMTI) 2016, there were 117 million
Muslim international travelers globally in 2015. Driven by a rapid population growth of Muslims, a
growing middle class and younger population, this number is projected to grow to 168 million by 2020.
The travel expenditure by this segment is expected to exceed USD 200 billion by 2020. This growth has
been facilitated by an increase in ease of access to travel information and the availability of
Muslim-friendly travel services and facilities at more destinations.
The document provides a summary of key trends in the UK communications sector in 2014-2015 based on Ofcom's research:
- Superfast broadband availability reached 83% of UK premises and 30% of broadband connections were superfast.
- Four in five households had fixed broadband while three in five adults accessed the internet via mobile phones.
- Traditional TV viewing declined 11 minutes on average per person per day between 2013-2014 across all age groups.
- Non-traditional viewing, such as via video on demand services, increased and now accounts for 30% of audio-visual content viewing.
This document provides an overview of communication service use and attitudes among ethnic minority groups in Great Britain based on survey data. Key findings include:
1) Ethnic minority groups differ demographically from the general population in ways that impact media usage, such as being younger and having larger households.
2) Television ownership and viewing is widespread but lower for some groups. BBC channels and ITV have smaller audiences among ethnic minorities.
3) Internet and mobile phone adoption is high but fixed-line telephone and radio listening is lower among some ethnic minority groups.
This document provides an overview of communication service use and attitudes among ethnic minority groups in Great Britain based on survey data. Key findings include:
1) Ethnic minority groups differ demographically from the general population in ways that impact media usage, such as being younger and having larger households.
2) Television ownership and viewing is widespread but lower for some groups. BBC channels and ITV have smaller audiences among ethnic minorities.
3) Internet and mobile phone adoption is high but fixed-line telephone and radio listening is lower among some ethnic minority groups.
Ethnic Minority Businesses and Access to FinanceThink Ethnic
This document discusses barriers to accessing finance faced by ethnic minority businesses in the UK. It summarizes the current state of knowledge on the topic based on academic research and discussions with stakeholders. While there is no evidence of direct racial discrimination by banks, ethnic minority groups like Black African, Black Caribbean, Bangladeshi and Pakistani businesses appear to have more loan rejections than other groups. This could be due to factors like lack of collateral, poor credit histories, and language barriers rather than direct discrimination. The document outlines actions being taken by the government, banks, and others to improve access to finance for ethnic minority businesses through initiatives like research, mentorship programs, and increased transparency of lending data.
This document provides a portrait of Britain's modern ethnic minority populations based on extensive data analysis. It finds that ethnic minorities now represent 14% of the UK population and are highly concentrated in large cities. The five largest groups are Indian, Pakistani, Bangladeshi, Black African and Black Caribbean. While having distinct characteristics, most minorities identify strongly with British culture and citizenship. The report aims to build understanding of Britain's increasingly diverse population through detailed demographic profiles and first-hand perspectives.
Multicultural Britain - An interim report by the Ethnic Diversity ForumThink Ethnic
This document provides an overview of ethnic diversity in the UK based on census and population data. Some key points:
- According to the 2001 UK Census, nearly 8% of the UK population belonged to a non-white ethnic group. The 2011 Census will expand categories and questions to better capture diversity.
- London is the most ethnically diverse city, home to representatives of 189/192 UN-recognized countries. Nearly 40% of London's population is projected to be from minority ethnic communities by 2026.
- The borough of Newham has the largest proportion of ethnic minorities at 68% of the population. Other diverse boroughs include Brent, Tower Hamlets, Hackney and Ealing.
This document discusses ethnic marketing. It begins with an introduction and definition of ethnic marketing as targeting specific ethnic groups to satisfy their needs. It then provides reasons for ethnic marketing, including new opportunities in competitive markets, the size and buying power of ethnic populations in the US, their breakdown and concentration in certain areas, and their willingness to buy. It outlines techniques for ethnic marketing such as targeting, use of media, visibility at community events, and contact with associations. It then provides Heineken as an illustration, discussing how they launched an ad campaign with Jay-Z to target the urban lifestyle and African American market. It concludes that ethnic marketing is important for building market share among ethnic groups while also benefiting mainstream consumers, and that identifying
Audience Construction: Race, Ethnicity and Segmentation in Popular MediaThink Ethnic
This document summarizes Oscar H. Gandy Jr.'s paper on audience construction with regards to race, ethnicity, and segmentation in popular media. It discusses four main perspectives on how audiences are constructed: as publics, markets, commodities, and victims. Segmenting audiences based on attributes like race and ethnicity is a social practice that both reflects and reinforces group definitions and boundaries over time. While segmentation is usually explored from the perspective of powerful actors, individuals also recognize themselves in these constructed segments.
Finding Your Audience Through Market SegmentationThink Ethnic
This document discusses market segmentation and identifying target audiences. It defines market segmentation as dividing the overall population into subgroups that have common needs, and selecting which subgroups to target with marketing efforts. Conducting market research to understand audience segments allows organizations to better tailor their messaging, products and services to attract those most likely to value what they offer. The document provides guidance on how to define audience segments through identifying their demographic characteristics, interests, behaviors, values and psychological traits in order to develop rich portraits that inform targeted marketing strategies.
The Diagonal Thinking Self-Assessment - Second Year Progress ReportThink Ethnic
The document provides information on the second year progress report of the Diagonal Thinking Self-Assessment tool. Over 11,000 people have registered for the assessment since its launch in 2008, with around 55% completing it. In the second year, there was an increase in under-25s, students, unemployed individuals, and those from non-white backgrounds taking the assessment compared to the first year. The assessment identifies 'Diagonal Thinkers' who display both linear and lateral thinking abilities. Feedback found the tool was useful for career guidance, especially among under-25s, though recruitment staff in advertising agencies could make better use of the assessment.
Ethnic Minorities: At the forefront of digital communications in the UK - Ofc...Think Ethnic
Ethnic minorities are leading adopters of new digital media in the UK. They are younger, more likely to use cable/satellite TV, and subscribe to multiple digital services. However, they also express higher concerns about offensive or poor quality content across TV, radio, and the internet. Their main concern regarding mobile phones is affordability. In general, ethnic minorities are more active users of digital media but less confident in their ability to find online content.
Home Ownership - English Housing Survey Household report 2008–09Think Ethnic
The report provides an overview of housing tenure trends in England between 1999 and 2008-09. During this period, owner occupation increased slightly to 68% of households, social renting decreased to 18% while private renting increased to 14%. There were significant regional variations, with London having higher rates of private (21.5%) and social renting (25.5%). Owner occupiers tended to be older working couples or retired, while younger households aged 16-34 were more likely to privately or socially rent. Social renters on average had lower incomes than other tenures.
ClearCast Guide For Advertisers And AgenciesThink Ethnic
This document provides information about Clearcast and its role in regulating broadcast advertising in the UK. It summarizes that Clearcast works with advertisers and agencies to ensure television and video-on-demand ads comply with the UK advertising codes to gain approval for airing. It oversees the pre-clearance of over 32,000 scripts and 64,000 ads annually. On rare occasions, 0.1% of cleared ads are later found to violate codes by the Advertising Standards Authority after airing. The document outlines Clearcast's process for script review and working with the ASA on any post-airing complaints.
Diversity Strategy 2010-13 - Getting Equality, Diversity and Inclusion right ...Think Ethnic
The document outlines the Home Office's diversity strategy for 2010-2013, which retains the five strategic aims from the previous strategy focused on leadership, workforce representation, workplace inclusion, statutory obligations, and service delivery. Progress made since the 2007 strategy launch is recognized, and the new strategy aims to further embed equality and diversity considerations into all aspects of the Home Office's work. Governance and progress monitoring against the strategic aims will be provided by the Diversity Strategy Programme Board through quarterly self-assessments from business areas.
CBI & the Institute of Practitioners in Advertising - Jun 2010Think Ethnic
The document summarizes the role and activities of the Confederation of British Industry (CBI) and its plans to work with the Institute of Practitioners in Advertising (IPA) to champion and support the UK's creative industries sector. The CBI represents over 240,000 businesses and works to influence policy areas impacting business. It intends to work with the IPA on policy solutions to challenges facing the creative industries from structural changes in digitalization and the economic downturn, including issues around online privacy and behavioral targeting. Over the next year, the CBI outlines events and briefs it will produce to lobby on skills, competition policy, access to finance, taxation and other areas to support the creative industries.
A Creative Block? The Future of the UK Creative IndustriesThink Ethnic
The document provides an overview of the future of the UK creative industries. It begins by reviewing the 2007 report "Staying Ahead", which celebrated the success of the UK creative industries but also identified some underlying vulnerabilities. Since its publication, the recession and trends like convergence, digitalization, and international competition have impacted the industry. The report examines these changes and their implications. It argues the UK creative industries still have growth potential but face challenges from global trends and competition that require a policy response to ensure they can continue contributing to the UK's economic recovery and future growth. The conceptual tools from "Staying Ahead" still provide value but require some revisions to fully capture today's context.
The document provides an overview and analysis of the luxury car market, focusing on specific models from Aston Martin, Bentley, Ferrari, Porsche, and Rolls-Royce. It examines current asking prices, trade values, average mileage and costs of ownership for various years and trims. Key points discussed include which colors and optional features appeal most to buyers or hurt resale value. The author also notes new demand for the Aston Martin DB9 has declined and it could benefit from a redesign.
This document summarizes a longer document about factors that influence human behavior and how understanding these factors can help develop effective communications strategies. It discusses three levels of factors - personal, social, and environmental - that influence behavior according to social psychology models. Personal factors include knowledge, attitudes, habits, and self-efficacy. Social factors include social norms, social support and identity. The document also provides an overview of behavioral economics principles and theories of behavior change. It emphasizes the importance of understanding how multiple factors at all levels can influence a behavior when developing communications to change behaviors.
The rise of inconspicuous consumption challenges traditional notions of branding and luxury goods. Where conspicuous displays of wealth and status were once the norm, consumers increasingly prefer subtle, understated displays. This reflects trends like rising income inequality, globalization, and urban anonymity, which diminish the ability of luxury goods to clearly signal status. Evidence from the US, China, and elsewhere shows a shift from overt to more inconspicuous signaling among high-income groups, with implications for how brands market luxury without conspicuous logos or branding.
Boost Your Instagram Views Instantly Proven Free Strategies.pptxInstBlast Marketing
Join Performance Car Exclusive to drive the finest supercars, engineered with advanced materials and cutting-edge technology for peak performance.
https://instblast.com/instagram/free-instagram-views
Spotify: Revolutionizing the Music Streaming IndustryTMR Infra
Spotify's unique blend of technology, user-centric design, and industry influence has
cemented its position as a leader in music streaming. By continuously evolving and adapting,
Spotify remains a dominant force, shaping the future of music consumption. As it continues
to innovate and expand, Spotify is likely to maintain its position as the go.
What Software is Used in Marketing in 2024.Ishaaq6
This paper explores the diverse landscape of marketing software, examining its pivotal role in modern marketing strategies. It provides a comprehensive overview of various types of marketing software tools and platforms essential for enhancing efficiency, optimizing campaigns, and achieving business objectives. Key categories discussed include email marketing software, social media management tools, content management systems (CMS), customer relationship management (CRM) software, search engine optimization (SEO) tools, and marketing automation platforms.
The paper delves into the functionalities, benefits, and examples of each type of software, highlighting their unique contributions to effective marketing practices. It explores the importance of integration and automation in maximizing the impact of these tools, addressing challenges and strategies for seamless implementation across different marketing channels.
Furthermore, the paper examines emerging trends in marketing software, such as AI and machine learning applications, personalization strategies, predictive analytics, and the ethical considerations surrounding data privacy and consumer rights. Case studies illustrate real-world applications and success stories of businesses leveraging marketing software to achieve significant outcomes in their marketing campaigns.
In conclusion, this paper provides valuable insights into the evolving landscape of marketing technology, emphasizing the transformative potential of software solutions in driving innovation, efficiency, and competitive advantage in today's dynamic marketplace.
This description outlines the scope, structure, and focus of the paper, giving readers a clear understanding of what to expect and why the topic of marketing software is important and relevant in contemporary marketing practices.
Unlock the secrets to enhancing your digital presence with our masterclass on mastering online visibility. Learn actionable strategies to boost your brand, optimize your social media, and leverage SEO. Transform your online footprint into a powerful tool for growth and engagement.
Key Takeaways:
1. Effective techniques to increase your brand's visibility across various online platforms.
2. Strategies for optimizing social media profiles and content to maximize reach and engagement.
3. Insights into leveraging SEO best practices to improve search engine rankings and drive organic traffic.
Capstone Project: Luxury Handloom Saree Brand
As part of my college project, I applied my learning in brand strategy to create a comprehensive project for a luxury handloom saree brand. Key aspects of this project included:
- *Competitor Analysis:* Conducted in-depth competitor analysis to identify market position and differentiation opportunities.
- *Target Audience:* Defined and segmented the target audience to tailor brand messages effectively.
- *Brand Strategy:* Developed a detailed brand strategy to enhance market presence and appeal.
- *Brand Perception:* Analyzed and shaped the brand perception to align with luxury and heritage values.
- *Brand Ladder:* Created a brand ladder to outline the brand's core values, benefits, and attributes.
- *Brand Architecture:* Established a cohesive brand architecture to ensure consistency across all brand touchpoints.
This project helped me gain practical experience in brand strategy, from research and analysis to strategic planning and implementation.
Did you know that while 50% of content on the internet is in English, English only makes up 26% of the world’s spoken language? And yet 87% of customers won’t buy from an English only website.
Uncover the immense potential of communicating with customers in their own language and learn how translation holds the key to unlocking global growth. Join Smartling CEO, Bryan Murphy, as he reveals how translation software can streamline the translation process and seamlessly integrate into your martech stack for optimal efficiency. And that's not all – he’ll also share some inspiring success stories and practical tips that will turbocharge your multilingual marketing efforts!
Key takeaways:
1. The growth potential of reaching customers in their native language
2. Tips to streamline translation with software and integrations to your tech stack
3. Success stories from companies that have increased lead generation, doubled revenue, and more with translation
Conferences like DigiMarCon provide ample opportunities to improve our own marketing programs by learning from others. But just because everyone is jumping on board with the latest idea/tool/metric doesn’t mean it works – or does it? This session will examine the value of today’s hottest digital marketing topics – including AI, paid ads, and social metrics – and the truth about what these shiny objects might be distracting you from.
Key Takeaways:
- How NOT to shoot your digital program in the foot by using flashy but ineffective resources
- The best ways to think about AI in connection with digital marketing
- How to cut through self-serving marketing advice and engage in channels that truly grow your business
Efficient Website Management for Digital Marketing ProsLauren Polinsky
Learn how to optimize website projects, leverage SEO tactics effectively, and implement product-led marketing approaches for enhanced digital presence and ROI.
This session is your key to unlocking the secrets of successful digital marketing campaigns and maximizing your business's online potential.
Actionable tactics you can apply after this session:
- Streamlined Website Management: Discover techniques to streamline website development, manage day-to-day operations efficiently, and ensure smooth project execution.
- Effective SEO Practices: Gain valuable insights into optimizing your website for search engines, improving visibility, and driving organic traffic to your digital assets.
- Leverage Product-Led Marketing: Explore strategies for incorporating product-led marketing principles into your digital marketing efforts, enhancing user engagement and driving conversions.
Don't miss out on this opportunity to elevate your digital marketing game and achieve tangible results!
AI Best Practices for Marketing HUG June 2024Amanda Farrell
During this presentation, the Nextiny marketing team reviews best practices when adopting generative AI into content creation. Join our HUG community to register for more events https://events.hubspot.com/sarasota/
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.
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INTRODUCTION TO SEARCH ENGINE OPTIMIZATION (SEO).pptxGiorgio Chiesa
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Build marketing products across the customer journey to grow your business and build a relationship with your customer. For example you can build graders, calculators, quizzes, recommendations, chatbots or AR apps. Things like Hubspot's free marketing grader, Moz's site analyzer, VenturePact's mobile app cost calculator, new york times's dialect quiz, Ikea's AR app, L'Oreal's AR app and Nike's fitness apps. All of these examples are free tools that help drive engagement with your brand, build an audience and generate leads for your core business by adding value to a customer during a micro-moment.
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Ethnicity and family Relationships within and between ethnic groups
1. Ethnicity and family
Relationships within and
between ethnic groups:
An analysis using the
Labour Force Survey
Lucinda Platt
Institute for Social & Economic Research
University of Essex
2. Ethnicity and family
Relationships within and between ethnic groups:
An analysis using the Labour Force Survey
Lucinda Platt
Institute for Social & Economic Research
University of Essex
3. 2
Contents Page
Coverage of report 3
Overview and summary 4
Data 11
Definitions 13
Ethnic group 13
Partnership/union 13
Inter-ethnic versus co-ethnic partnerships or unions 13
Mixed ethnicity individuals and families 14
Children 15
Family 15
Introduction: Ethnicity and partnerships 16
Tables of results 19
Section 1: Background on family characteristics 19
Section 2: Ethnicity and partnerships 22
Section 3: Children and family ethnicity 32
Section 4: Comparison with the 2001 Census and with 37
Berthoud’s analysis of the 1994 Fourth
National Survey of Ethnic Minorities
Section 5: ‘Mixed’ families 39
Section 6: Lone parenthood and comparison with 40
Berthoud’s analysis of the LFS 1992-1995
Section 7: Religion 41
Annex 1: Data Acknowledgments and bibliographic citation 53
Annex 2: Varying the definition of what constitutes a ‘match’ 55
References 57
4. ETHNICITY AND FAMILY
Coverage of report
This paper outlines the ethnic composition of families in Britain today using
the Labour Force Survey household data. That is, it explores whether adults
from different ethnic groups are living with someone from the same ethnic
group (co-ethnic or ‘same race’ partnerships) or are living with someone from
a different ethnic group (inter-ethnic or ‘mixed race’ partnerships), or are living
on their own. It also looks at the experience of children living with parents of
the same or different ethnic groups (to each other and to the child). Given the
growth of those defining themselves in terms of mixed or multiple ethnicities,
the prevalence of adults and children of mixed ethnicity is also summarised.
Religious affiliation as well as ethnicity may also be a point of similarity or
difference within couples. The report also considers the extent to which men
and women of different religious affiliations are in co-religionist and inter-
religionist partnerships. Finally, some indication of trends is given by
comparison with earlier analyses of family composition and ethnic group.
The key patterns and findings are highlighted in the Overview and summary
which follows. This overview draws on the 34 tables which form the bulk of
this report and which are preceded by a description of the data source from
which they are derived, key definitions and an introduction setting out the
rationale for the analysis which follows.
3
5. ETHNICITY AND FAMILY
Overview and summary
Britain is a relatively homogenous country dominated by a White British
majority. Around 85 per cent of individuals in the period analysed (2004-2008)
described themselves as White British. The largest minority group was the
Indian group with two per cent of the population. Among the other main
minority groups, Pakistanis made up 1.6 per cent, Black Africans 1.2 per cent,
Black Caribbeans 1 per cent, Bangladeshis 0.6 per cent and Chinese 0.4 per
cent of the population. From 2001 mixed ethnicity groups began to be
measured with the four mixed groups making up 1.1 per cent of the population
between them.
However, if we start to look across generations there are indications of
change and increases in diversity of the population. Almost 20 per cent (or
one in five) children under 16 were from minority groups, and nearly 3 per
cent of children under 16 were from one of the mixed ethnicity groups. Around
9 per cent of children were living in families which contained mixed or multiple
heritages. While population ageing is the story for the majority, the minority
groups tend to be younger. This is particularly true for the mixed groups. The
majority of mixed ethnicity children are under 16. Half of the White British
group are over 40 and half are under 40, but the median age for all the
minority groups is younger than this. Half of Caribbeans are under the age of
36, for Indians the median age is 33, it is 32 for Chinese, 26 for Black
Africans, 24 for Pakistanis and half of Bangladeshis in Great Britain are aged
21 or under. Conversely, nearly a quarter of White British are aged 60 or
more, but only 16 per cent of Black Caribbeans, 11 per cent of Indians and
fewer than 10 per cent of the other minority groups are (with the exception of
the Other White group). This suggests that minorities will make up a larger
proportion of the population in the future, and the numerical significance of
those claiming a mixed or multiple heritage in particular is set to increase if
current trends continue.
Individuals claiming mixed ethnicity tend to be the consequence of inter-ethnic
unions of their parents – though they may have more complex histories, and
not all those children resulting from inter-ethnic unions will necessarily define
themselves as belonging to a ‘mixed’ category. To understand patterns of
diversity and the composition of the population now and potentially in the
future, the bulk of the report explores patterns of inter-ethnic partnerships
across the different ethnic groups. Moreover, inter-ethnic relationships have
often been seen as indicative of the extent of openness in different societies
4
6. ETHNICITY AND FAMILY
and of the extent to which ethnic identities are adapting and changing over
time. They are therefore taken to be a ‘thermometer’ of ethnic relations in
particular societies (Fryer 2007). It can therefore be informative to ascertain
their prevalence and whether there are indications of increase over time.
The analysis was informed by the expectation that there would be different
rates of inter-ethnic partnership across:
• Majority and minority ethnic groups – because majority have fewer
opportunities for contact with (less ‘exposure’ to) minorities than the
other way round.
• Groups that are more or less geographically concentrated – because
who lives around you, who you have contact with may affect your
options for partnership (though partnership choices may also affect
where you live).
• More and less marginalised ethnic groups – because those groups
which are more marginalised may be excluded from partnerships and
opportunities for contact. They also may feel they have more to lose
from inter-ethnic partnerships, in terms of loss of ways of living and
being, than those groups which are in a stronger position to assert their
ethnic identity and values.
• First and second (or subsequent) generation minority groups –
because first generation immigrants may already be married on arrival
in Britain; and because affinities with the majority (and British born from
other groups) and opportunities for contact are likely to be greater
among those who have been brought up in Britain.
• Men and women within groups – because men and women particularly
from older generations, are likely to have different opportunities for
contact with other groups (for example through the workplace), and
expectations on men and women in terms of partnership expectations
are typically different. In addition, men and women have different
chances of being in a couple in the first place which will affect their
chances of being in an inter-ethnic couple.
• Older and younger people from the different ethnic groups – because
attitudes tend to change over generations, more traditional attitudes
and behaviours decline and younger generations will also have been
more likely to be exposed to those from other ethnic groups and to
respond to observed changes in society, in terms of increasing
diversity.
5
7. ETHNICITY AND FAMILY
The analysis showed that overall these expectations were fulfilled. Rates of
inter-ethnic partnership were lower among the majority White population
(three per cent for men and four per cent for women) than among minorities
(where they ranged among couples from the non-mixed groups between
seven per cent for Bangladeshi men, to 48 per cent of Caribbean men, and
between five per cent of Bangladeshi women, to 39 per cent of Chinese
women). Those groups, such as Pakistanis and Bangladeshis which tend to
be more geographically concentrated had lower rates of inter-ethnic
partnership (seven and eight per cent among men and five and six per cent
among women) than more geographically dispersed groups such as Chinese
(17 per cent among men and 39 per cent among women in couples), or Black
Caribbeans (48 per cent among men and 34 per cent among women).
Pakistanis and Bangladeshis are also those which tend to be the most
economically marginalised of the minority groups, which could also have been
reflected in their lower rates of inter-ethnic partnerships.
Ethnic minority group men and women who were born or brought up in Britain
do have higher rates of inter-ethnic partnership than the rates for men and
women from those groups overall. Also consistent with our expectations, men
tended to have higher rates of inter-ethnic partnerships than women from the
same group, with the exception however of the Other White and Chinese
groups, where the pattern was reversed. Overall there was a trend of younger
couples being more likely to be in inter-ethnic unions. This pattern was not
consistent across all groups, however, partly given lack of potential same-
group partners for older (first generation) minority group men; and was
complicated by the fact that younger people were less likely to be in a couple
at all.
However, within these overall patterns that tended to be consistent across
groups, there were very striking differences between groups in levels of inter-
ethnic partnership and in propensity to be in a partnership at all. Those least
likely to be in an inter-ethnic partnership were those from the White British
majority. In terms of population numbers, however, because White British are
the overwhelming majority, more White British people were in an inter-ethnic
partnership than those from other groups. The low actual percentage rate of
inter-ethnic partnership can therefore be understood primarily in terms of lack
of exposure or opportunities; and rates of inter-ethnic partnership appeared to
be increasing across the generations. Nevertheless, this does not escape the
fact that, in the face of some evidence of increasing diversity, the vast majority
of the population are found in families which are entirely White British in origin
6
8. ETHNICITY AND FAMILY
and where family contact with minority groups is not in the bounds of
likelihood – or even possibility.
At the other end of the spectrum, Black Caribbean men and women were the
most likely of any group to be in an inter-ethnic partnership (48 per cent of
men and 34 percent of women in couples were in an inter-ethnic partnership);
and this increased between first and second (or subsequent) generations and
between older and younger men and women. Rates were also higher among
couples with children. For 55 per cent of Caribbean men living with a partner
and children under 16, and 40 per cent of Caribbean women, that partner was
from a different ethnic group. It therefore appears a trend that is set to
continue and that will result in an increasing number of people with diverse
identities of which Caribbean heritage forms a part. It also means that those
who define themselves as singularly Caribbean are likely to decline over time,
as increasingly complex heritages emerge among those with some element of
Caribbean descent. Already, the Caribbean category makes up only one per
cent of the population of Great Britain, while those who define themselves as
Mixed White and Black Caribbean make up 0.4 per cent of the population.
Among children under 16, 1.2 per cent were Caribbean but nearly as many –
1.1 per cent – were Mixed White and Black Caribbean. Among those children
who were living with at least one Caribbean parent, only one in five were living
with two Caribbean parents. This has declined from around one in four, 10
years earlier. Among Mixed White and Black Caribbean adults, 87 per cent of
men in couples and 84 per cent of women in couples were in a partnership
neither with someone who was also Mixed White and Black Caribbean, nor
with someone who was Black Caribbean. Children of such unions will thus
have multiple heritages of which their Black Caribbean heritage may form only
a small part. Moreover many children living with a Mixed White and Black
Caribbean parent were living with just one parent, so we cannot identify the
ethnicity of both parents of these children.
While such levels of inter-ethnic partnership may be celebrated as playing a
substantial role in the development of new, mixed identities - revealing the
positive potential in Britain of inter-ethnic relations and breaking down
traditional barriers and distinctions - there may be some losses involved. It
may be increasingly difficult for Caribbeans to sustain distinctive cultural and
community institutions with fewer individuals who have multiple connections to
a Caribbean history – though more who have some connection to it. This may
also potentially make it harder for families to transmit values and practices
7
9. ETHNICITY AND FAMILY
associated with their Caribbean heritage, to sustain family histories and to
maintain connections with disparately located family members.
Such high levels of inter-ethnic partnership as were found among the Black
Caribbean group were not found to the same extent among couples from
other, non-mixed, ethnic groups. Around a fifth of Black African men and
women, a tenth of Indian men and women and less than ten per cent of
Pakistani and Bangladeshi men and women were in inter-ethnic partnerships.
However, among Chinese women and among those identifying as Other
White rates were also high at around 40 per cent.
There is clear evidence that across groups inter-ethnic partnerships tend to be
increasing across cohorts. So the range of minority groups and complexity of
heritages and diversity is likely to increase. But some groups, such as the
South Asian minority groups, can be expected to remain more distinct and for
longer, given relatively lower rates of inter-ethnic partnership and relatively
high fertility rates.
The decline in co-ethnic partnerships over time and with new generations may
reflect a general view that ethnicity – or ‘race’ in itself does not provide a
meaningful basis for the selection of a partner, though common education,
friendships, practices, attitudes and beliefs may well do so (Brynin et al 2008).
However, ethnic/racial difference may have excluded some from opportunities
for exposure to like-minded people from other groups and for potential inter-
ethnic unions. Ethnicity itself may also have shaped individual histories in
ways that gave them greater affinity among those from the same ethnic origin,
in addition to any affinity offered by common heritage. Nevertheless, and as
the results show, any expectation that ethnic group or allocation to particular
ethnic categories forms a meaningful basis for the choice of partner would
seem to be subject to challenge.
Partnership on the basis of religious affinity may be thought of rather
differently. Religious affiliation can potentially affect all aspects of life as well
as implying particular values and beliefs. On this basis, religious affinity may
be thought of as a more fundamental issue for a partnership than ethnicity
and one where the expression of preference is both more meaningful and
more acceptable. Of course, though, there are overlaps between ethnicity and
religious affiliation. For example, the majority of the White British majority
define themselves as Christian and the vast majority of Pakistanis and
Bangladeshis are Muslims, so a co-ethnic union for members of one of these
8
10. ETHNICITY AND FAMILY
groups will almost certainly be a co-religionist one. This means that the lower
rates of inter-ethnic unions among Pakistanis and Bangladeshis for example
compared to some groups may be in part explained by co-religionist
preference, though religious institutions are frequently ethnically specific as
well. In addition, we might expect the trends over time to be different, showing
greater stability for co-religionist unions.
The overall rate among couples of having a partner with a different religious
affiliation is 12 per cent – for men and women. This varies among men
however from five per cent of Christian men, to around 10 per cent of Hindu,
Sikh and Muslim men, to a third of Jewish men and over 40 per cent of men
with no religion and Buddhist men. Among women the lowest rate of
partnership with a person of a different religion is to be found among Muslim
women (three per cent) followed by Sikh, Hindu and Christian women at
around seven to nine per cent, followed by those with no religious affiliation
(24 per cent) and Jewish women (30 per cent), and then by Buddhist women
(62 per cent).
There is evidence of a general trend for younger cohorts being more likely to
marry those of a different religion compared to older cohorts, but this is not
the case for all groups. In particular, there appears to be no pattern for Muslim
women, who are very unlikely to have a non-Muslim partner (only three per
cent of Muslim women in couples do so). UK born Muslim women are also no
more likely to have a non-Muslim partner that Muslim women overall. The
pattern of increasing partnership with someone of a different religion is also
not clear for Sikh and Hindu women, but in these cases, being UK born
makes them substantially more likely to have a partner with a different
religious affiliation (or none). Interestingly, among men, younger cohorts who
have no religious affiliation are more likely (around a third) than older cohorts
(around a half) to be in a partnership with someone also with no religious
affiliation. This could be an exposure effect as rates of those with no religious
affiliation increase across generations and make it easier to find someone
who shares the lack of religious affiliation. Among women a much small
proportion of those with no religious affiliation partner with someone affiliated
to a religion (24 per cent) and this is stable across cohorts, family status and
whether UK born.
We might have expected being with a co-religionist partner to be more
significant for those in families with children, as religious faith can become
particularly salient when bringing up children. In fact there seems to be no
9
11. ETHNICITY AND FAMILY
clear pattern when we compare all couples with those with children under 16.
This may be partly because some couples will have had children even if those
children are no longer living with them; and for some minority groups the
majority of adults are anyway in families with dependent children. Overall, the
investigation of partnership across different religious affiliations echoes the
patterns of partnership by ethnicity, but with some variation to suggest that it
may be becoming less salient for the Christian majority, where we know
affiliation is declining (Voas and Crockett 2005), and that it appears to be of
more enduring salience in relation to partnership choice among women from
minority religions than for men.
The analysis in this report is predominantly descriptive. It illustrates
partnership patterns across ethnic and religious groups, but cannot tell us how
people understand or express their identity in relation to those ethnic group
categories, and how that is negotiated in families and relationships where
different heritages are present and different understandings and investments
in those heritages. There is an increasing interest in the ways in which young
people of multiple or mixed ethnicity identify (Aspinall 2000 and 2003), but the
ways in which identity is expressed, the significance of adherence to particular
ethnic categories and the ways in which this is played out within and between
families, and for majority as well as minorities, remains of enduring interest for
understanding recognition of similarity and difference, individual and social
diversity in Britain today.
10
12. ETHNICITY AND FAMILY
Data
The tables presented in this paper are produced using the Labour Force
Survey household data sets from October-December 2004 to April-June 2008.
The Labour Force Survey (LFS) is a quarterly sample survey of around
60,000 households, with data collected from those aged 16 and over living at
private addresses. The main purpose of the survey is to provide information
about the labour market and to inform labour market policies. (For further
information
see http://www.statistics.gov.uk/statbase/Source.asp?vlnk=358&More=Y.)
Adult respondents are asked about their labour market participation and
personal circumstances at the time of or immediately prior to the interview. A
range of personal and demographic information is collected including country
of birth, ethnic group, religious affiliation, marital status and co-habitatio
dependent children, as well as other information not relevant to the purposes
of this paper. Respondents are followed up for five successive quarters, so
that the circumstances of an individual – and changes in those circumstances
– over 15 months can be investigated. This means that each quarterly survey
will comprise a mixture of new respondents and those who have been
surveyed before, between one and four times.
n, and
The Quarterly Labour Market Survey data are released every quarter.
Originally they followed seasonal quarters (March-May; June-August;
September-November; December-February), but have recently shifted to
annual quarters (starting in January). Prior releases are being adjusted to
cover annual rather than seasonal quarters. These quarterly data sets are
intended for individual-level analysis and are weighted to be representative of
adults in the population. They are thus not recommended for household level
analysis.
The household level data sets are released for two quarters each year (April-
June and October-December, since the move to annual quarters). These data
are intended to be representative of the population of households and the
weights are designed accordingly. They are therefore suitable for the
purposes of this paper. Annual quarters have been released back to 2004.
The series of household data sets from this point on have also been subject to
a re-weighting exercise to make them more representative of the current
population. Earlier (seasonal) releases have not been subject to the same re-
weighting. Therefore the analysis in this paper takes the eight most recent
releases from October-December 2004 to April-June 2008, covering four full
11
13. ETHNICITY AND FAMILY
years. Only data from Great Britain (England, Wales and Scotland) are
included in the analysis.
These eight data sets have been pooled to maximise sample sizes across the
minority groups. The Labour Force Survey is nationally representative and
several of Britain’s main minority groups make up only a small proportion of
the population. Thus, even in a relatively large survey such as the LFS, there
will only be relatively small samples in any wave, and therefore analysing
subgroups, such as those of a certain age, or those born in Britain and their
marriage patterns can become difficult. Pooling increases sizes and therefore
facilitates greater analysis of the smaller groups. The pooled data sets were
restricted to ensure that only unique individuals (rather than repeat
observations) were investigated, given that the LFS follows individuals over
time. This was achieved by only taking those at their first or second round of
interviews. (Since the household data sets are two quarters apart, this meant
that no individual could have appeared in an earlier extract.) With some data
cleaning and elimination of those families with a non-response on the key
variables of interest (principally ethnic group), the pooled sample totalled
387,742 individuals in 176,469 families.
All the tables represent weighted proportions. The total number of the sub-
population of the sample from which these proportions are derived are also
shown. No distributions are illustrated where the sub-population has an
unweighted size of fewer than 50 people. In addition, proportions based on an
unweighted cell size of fewer than 5 have been suppressed. This is to ensure
that inferences are not drawn where the sample sizes – and therefore the
ability to generalise from the results – are not robust enough to justify them. It
should still be noted that sample error will still apply to all the estimates
provided, and that this could result in slightly different results with different
sources or from pooling a slightly different selection of data sets. Ninety-five
per cent confidence intervals around the estimated percentages have not
been used in these tables in order to keep them as simple as possible,
especially given the amount of information covered, but can be provided upon
request.
The data have been made available by the Office for National Statistics via
the UK Data Archive. Neither of these, however, bear any responsibility for
the results presented here. Please see Annex 1 for full data
acknowledgements.
12
14. ETHNICITY AND FAMILY
Definitions
Ethnic group: is defined according to the Office for National Statistics [ONS]
2001 Census categories and is collected for each member of the household.
At the highest level of detail there are 15 categories to which individuals are
allocated:
• White British
• White Other
• Mixed White and Black Caribbean
• Mixed White and Black African
• Mixed White and Asian
• Other Mixed
• Indian
• Pakistani
• Bangladeshi
• Other Asian
• Black Caribbean
• Black African
• Other Black
• Chinese
• Any Other ethnic group
Table 1, below, illustrates the distributions across these groups.
Partnership/union: is defined as co-habiting or married for the purposes of
this paper. Same sex couples are excluded from the paper, since there are
numerically too few for distinct analysis by ethnic group. In the published
census analysis of inter-ethnic marriages, only those who were legally married
were considered. Therefore for the purposes of comparison with previous
2001 Census analysis, the same restriction is employed in the relevant tables
in this analysis. However, in the rest of the analysis both co-habitees and
legally married partners are included.
Inter-ethnic versus co-ethnic partnerships or unions: inter-ethnic (or
‘mixed race’) partnerships are defined as those where one partner regards
themselves as belonging to a different one of the 15 ethnic group categories
to that claimed by the other partner. Conversely, co-ethnic (or ‘same race’)
partnerships are those where both partners allocate themselves to the same
ethnic group category. Since the Other group contains those with a variety of
ethnic and national origins, it makes no sense to consider a partnership
13
15. ETHNICITY AND FAMILY
between two people defining themselves as ‘Other’ as co-ethnic, and
therefore those allocated to this category are not considered in the analysis
below.
It is possible to consider a broader definition of co-ethnic partnerships. In
some previous census analysis, a union was deemed to be co-ethnic if the
partner fell within the higher level group, rather than the specific category.
These higher level groups were White (containing White British and White
Other); Mixed (containing all the mixed groups); Asian (containing Indian,
Pakistani, Bangladeshi and Other Asian); Black or Black British (containing
Black Caribbean, Black African and Other Black); Chinese; and Other ethnic
group. Such a broader grouping is included in the comparison with the
Census analysis. However, it makes no sense to consider a union between
one person who defines themselves as of mixed ethnicity and another person
who defines themselves as of mixed ethnicity as a co-ethnic union, since the
particular multiple heritages may have no overlap.
Instead, it is possible to consider a co-ethnic union as one where either
element of the multiple heritage is found in the partner. For example, a Mixed
Black Caribbean and White respondent could be considered to be in a co-
ethnic union if they were in a partnership either with a White partner or with a
Black Caribbean partner or with a Mixed White and Black Caribbean partner.
Alternatively, the minority ethnicity could be prioritised, so that they are
considered to be in a co-ethnic union if they are in a partnership with a Black
Caribbean partner or with a Mixed White and Black Caribbean, but not if they
are in a partnership with a White partner.
In most of the analysis the narrowest definition of a co-ethnic union has been
used, but the comparison with the 2001 Census and tables in Annex 2
illustrate the effect of taking a broader interpretation. In Annex 2, the approach
of prioritising the minority element has been explored.
Mixed ethnicity individuals and families: mixed ethnicity (or what are often
termed ‘mixed race’) individuals are those identifying with any of the four
‘mixed’ census categories. They are assumed to have multiple heritages as
individuals. The analysis provides a simple tabulation of those individuals who
allocate themselves to one of the ‘mixed’ ethnic groups. Mixed ethnicity
families are those families which can be regarded as drawing on multiple
heritages. They are therefore defined as families either containing anyone
14
16. ETHNICITY AND FAMILY
belonging to one of the ‘mixed’ ethnic group categories or those families
where any family members are from different ethnic groups.
Children: are defined for the purposes of most surveys as dependants up to
the age of 19 if they remain in full-time education. However, given that rates of
school-leaving vary across ethnic groups, the analyses in this paper focus
solely on children aged under 16; and therefore families with children where at
least one of the children is aged under 16. Dependent children aged between
16 and 19 contribute to average family size in Table 3; but do not contribute to
any of the child-level analysis in Section 3 or in defining family for the purpose
of the family level tables.
Family: refers to the nuclear unit of a partnered couple and their dependent
children (if any) or a single person and their dependent children (if any).
15
17. ETHNICITY AND FAMILY
Introduction: Ethnicity and partnerships
The ethnicity of someone’s partner is likely to depend on a number of factors.
First is exposure – the number of people from particular ethnic groups that an
individual has contact. This will depend first on the size of the group. If 85 per
cent of adults are from the White British majority, then any given person is
likely to have contact with White British people and, conversely, White British
people are much less exposed to contact with those from minorities. Exposure
also depends on the geographical distribution of different groups. Minorities
are not evenly distributed across the population (Simpson et al 2006).
Opportunities for neighbourly contact with different groups will be influenced
by the composition of the local area in which groups live. As some minorities
are more geographically concentrated than others (for example, Bangladeshis
compared to Chinese) their opportunities for contact with those of the same
ethnic group will be correspondingly higher. These two groups have roughly
similar population sizes but their distributions and therefore their exposure to
those from the same – and other – groups is very different.
Second is choice for partnering with someone of the same ethnicity. There is
plenty of research evidence that people tend to marry those who are similar to
them in a range of ways, in particular educationally (Brynin et al 2008).
Ethnicity may be regarded as a point of similarity if it implies commonalities
such as shared language – or linguistic heritage – and familiar ways of living
and being. For those minorities who are first generation, or who have retained
a distinctive sense of ethnicity as particular ways of living and being into the
second or subsequent generations, the sense of such commonalities may be
particularly salient.
Religion, which is considered separately to ethnicity (see Section 7 of the
Tables of Results), may also represent important shared values and
understanding of the world, that will influence partnership choices. As
religious affiliation often overlaps with ethnicity, preference for a co-religionist
partner may also lead to a co-ethnic partnership for some groups.
The other side of choice is that some groups may be or feel excluded from
particular partnership options as a result of discrimination or due to
antagonism towards ‘mixed-race’ unions. Who is available as a potential
partner will depend not just on an individual’s exposure and preferences but
also on the influence and attitudes of those around them.
16
18. ETHNICITY AND FAMILY
Moreover, those groups that feel most marginalised may have most invested
in maintenance of ethnic identity and continuity at a group level. They may
feel they have most to lose in terms of cultural resources and continuity of
traditions and history through inter-ethnic partnerships. Younger generations
may feel the weight of older generation’s expectations on them and may wish
to demonstrate their respect for their ancestry and family traditions – and to
reinforce them – by preferring a partner from within their group. This may
influence the behaviour of individuals from those groups. By contrast, the
inter-ethnic marriages of individuals from an overwhelming majority, while
they may act as a thermometer of the openness of majority attitudes (Fryer
2007), will have little impact on the retention, transmission or development of
majority values and ways of living and being. For the majority, holding on to
any cultural attachments may take much less effort where they are reflected in
the wider social environment.
Inter-ethnic unions are often regarded positively as an indication of an
integrated and open society (Wildsmith et al 2003), but it is important to reflect
on the fact that the implications are not the same for the majority and for the
minority members participating in such matches, as Berthoud (2005) and
Peach (2005) have pointed out.
For all groups, we might expect there to be different patterns of experience for
men and women, since partnership patterns are often asymmetrical across
the sexes, opportunities for contact vary, and taboos on inter-ethnic
partnerships have traditionally tended to be greater for women than for men.
In addition, for all groups we might expect greater openness over time to inter-
ethnic unions, influenced by observed changes in society, including the
increase in the numbers of mixed-ethnicity people, greater chances of
exposure to other groups over time, the increase in co-habitation and decline
in more traditional approaches to family life, the increasing numbers of women
in higher education and of mothers in the workplace, and so on. This could be
reflected in higher rates of inter-ethnic partnership among younger compared
to older generations.
For these reasons, we might expect different rates of inter-ethnic partnership
across:
• majority and minority ethnic groups
• groups that are more or less geographically concentrated
• first and second or subsequent generation groups
• more and less marginalised ethnic groups
17
19. ETHNICITY AND FAMILY
• men and women within groups
• older and younger people from the different ethnic groups
In the descriptive analysis which follows, we investigate the extent to which
such differences are observed across these potential points of variation. We
start, however, by considering the distribution and age and family composition
of the different ethnic groups to give an initial take on exposure and on
demographic patterns, which will themselves affect both the chances that an
individual is in a partnership and the extent to which that partnership is likely
to have consequences for future generations through children born to it.
18
20. ETHNICITY AND FAMILY
Tables of results
Section 1: Family characteristics and ethnicity
This section is intended to give some basic information about ethnic group
distributions across the population and their key characteristics relevant to the
following discussion in terms of age distribution, family type and family size.
Table 1 summarises the distribution of ethnic groups across the data. It shows
the distribution of all individuals, for men and women, and for children under
16. As we can see, children are more highly represented among the mixed
groups compared to adults, indicating how the distribution of ethnic groups is
changing across generations. Pakistani, Bangladeshi and Black African
children also comprise a higher proportion of the under-16 population than
they do of the overall population.
Table 2 gives some more information on the age distribution of the different
groups.
19
21. ETHNICITY AND FAMILY
Table 1: Ethnic groups in the LFS household datasets, 2004-
2008, all individuals and by person type, column
percentages
Ethnic group All individuals
(unweighted
N)
All adults Men Women Children
under
16
White British 84.8
(332,732)
85.8 85.6 86.1 80.9
Other White 5.1
(18,681)
5.8 5.9 5.8 3.5
Mixed White and
Caribbean
0.4
(1,476)
0.1 0.1 0.2 1.1
Mixed White and
African
0.2
(564)
0.1 0.1 0.1 0.4
Mixed White and
Asian
0.3
(1,051)
0.1 0.1 0.1 0.8
Other Mixed 0.2
(901)
0.2 0.1 0.2 0.5
Indian 2.0
(7,214)
1.8 2.0 1.7 2.3
Pakistani 1.6
(6,019)
1.2 1.2 1.1 2.8
Bangladeshi 0.6
(2,119)
0.4 0.4 0.4 1.3
Other Asian 0.7
(2,474)
0.7 0.7 0.7 0.8
Black Caribbean 1.0
(3,513)
0.9 0.8 0.9 1.2
Black African 1.2
(4,239)
1.0 1.0 1.0 2.2
Other Black 0.1
(362)
0.1 0.1 0.1 0.2
Chinese 0.4
(1,521)
0.5 0.5 0.5 0.3
Other 1.4
(4,876)
1.3 1.4 1.3 1.7
All groups 100 (387,742) 100 100 100 100
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 2 shows, in column one, the average age across the different groups. It
also shows (in column 2) the median age – in other words the age at which
half the group are older and half the group are younger. The latter four
columns of the table show the ages broken down into bands and the
proportions of each group falling into those bands. Table 2 illustrates how
most of the minority groups have a younger age profile than the White British
20
22. ETHNICITY AND FAMILY
majority. This is especially true for those in the mixed groups, where, except
for the Other Mixed category, half of them are children. The Pakistani,
Bangladeshi and Black African groups are also concentrated at the younger
end of the age distribution. By contrast, nearly a quarter of the White British
population are aged 60 or over.
Table 2: Age distributions across the ethnic groups
Ethnic
group
Average
(mean)
age,
years
Median
age,
years
% by age band, row percentages
aged 0-15 aged 16-29 aged 30-60 aged 60+
White
British
40 40 18 16 42 24
Other White 39 36 13 24 44 20
Mixed White
and
Caribbean
16 13 57 26 15 2
Mixed White
and African
19 14 50 22 25 3
Mixed White
and Asian
18 12 54 23 20 3
Other Mixed 23 19 42 23 30 5
Indian 33 31 21 24 44 11
Pakistani 26 24 33 27 34 6
Bangladeshi 24 21 38 27 30 5
Other Asian 31 31 22 23 48 7
Black
Caribbean
35 36 23 17 44 16
Black
African
26 26 33 22 41 4
Other Black 28 27 35 17 41 7
Chinese 32 29 14 37 42 7
Other 30 30 23 26 44 7
All groups 39 39 18 18 42 22
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 3 illustrates differences in family types and family size across the
different ethnic groups. We can see that single people made up over a third of
White British families but were more common among most of the minority
groups, partly due to the different age structure of the groups. Pakistani,
Bangladeshi and Indian families were less likely, however, to be single person
families. Instead around two-third of families for these groups were couple
families either with or without dependent children. Lone parent families made
up around a quarter of Mixed White and Black Caribbean, Black Caribbean
21
23. ETHNICITY AND FAMILY
and Black African families. This compares with an average across all groups
of one in ten families. Table 3 shows that average family size was lowest
among the Chinese, while nearly half of Bangladeshi families contained four
or more people.
Table 3: Family type and average family size, by ethnic group
of head of family unit
Ethnic group Family type, row percentages Family size
Single
person
Couple, no
dependent
children
Couple,
dependent
children
Lone
parent
Average
family
size
%
families
4+
people
White British 36 35 20 9 2.2 16
Other White 45 30 18 7 2.0 13
Mixed White
and
Caribbean
42 8 21 29 2.2 17
Mixed White
and African
44 12 23 21 2.2 21
Mixed White
and Asian
43 21 22 14 2.2 19
Other Mixed 48 18 19 15 2.0 12
Indian 30 30 33 7 2.6 28
Pakistani 24 19 45 11 3.2 43
Bangladeshi 20 14 52 14 3.6 49
Other Asian 40 21 32 7 2.3 23
Black
Caribbean
41 14 16 28 2.1 16
Black African 44 9 25 22 2.4 24
Other Black 43 13 23 21 2.3 21
Chinese 56 21 17 6 1.9 13
Other 43 18 28 11 2.3 22
All groups 37 33 20 10 2.2 17
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Section 2: Ethnicity and partnerships
This section contains the main information on partnerships, whether the
partner is from the same ethnic group as the respondent or not. It looks at the
experience in turn of men and of women by ethnic group overall, and then at
subpopulations of men and women by:
• their age
• whether they are UK born, and
22
24. ETHNICITY AND FAMILY
• whether there are children under 16 in the family that the man or
woman lives in
In each table, the adults are divided into those living without a partner, those
living with a partner of the same ethnic group and those living with a partner of
a different ethnic group shown in the left part of the table (columns one to
three). The right-hand side of the table (columns four and five) excludes all
those living without a partner and simply divides all those living in couples
between those living with a partner of the same ethnic group and those living
with a partner of a different ethnic group.
The reason for presenting the information on co-ethnic and inter-ethnic unions
in these two ways is that the proportions living on their own differ across
groups and the overall proportion of adults living with someone from a
different ethnic group is influenced by both those living with someone from the
same ethnic group and those living without a partner. On the other hand, the
primary interest tends to be in the diversity within couples. The final row of
each table shows the proportions across the population (that is, for all groups)
of the different family configurations.
In all cases a narrow (or exact) ethnic group match is used, but Annex 2 show
the difference that results from using a broader version of a match, with the
general group providing a match, and those from the mixed groups being
counted as matched if they are partnered with someone sharing the minority
element of their heritage.
All adults
Tables 4 and 5 show that partnering with someone from a different ethnic
group was typical for the mixed groups – this is unsurprising given the scarcity
of potential partners from the same ‘mixed’ category, and the fact that
individuals with similar heritage may nevertheless define themselves
differently. (See Annex 2 for the impact of slightly broadening the definition.)
Across the other ethnic groups, inter-ethnic partnerships were relatively rare,
with the exception of the Black Caribbean group where nearly half of men in a
partnership were partnered with a woman of a different ethnic group. Inter-
ethnic partnerships were more prevalent than average also among Black
African and Chinese men and men from Other White groups.
23
25. ETHNICITY AND FAMILY
Table 4: Partnership patterns among men, by selected ethnic
group, row percentages
Ethnic group All adults Couples only Un-
weighted N
(all men)No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 24 73 3 96 4 109,140
Other White 34 43 23 65 35 6,980
Mixed White
and
Caribbean
44 4 52 7 93 144
Mixed White
and African
40 18 42 -- -- 76
Mixed White
and Asian
38 4 59 6 94 138
Other Mixed 40 13 48 21 79 160
Indian 21 69 10 88 12 2,263
Pakistani 20 74 6 92 8 1,446
Bangladeshi 15 80 5 93 7 451
Other Asian 31 49 20 72 28 769
Black
Caribbean
44 29 27 52 48 987
Black African 46 43 12 78 22 1,040
Chinese 44 46 9 83 17 499
All groups 25 70 5 93 7 125, 712
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 5 shows that women overall had a fairly similar pattern of inter-ethnic
relationships to men from the same group. However, the highest rates of inter-
ethnic partnerships among couples were found among Chinese women, who
had substantially higher rates of inter-ethnic partnership than Chinese men.
For several other groups (White British, Pakistani, Bangladeshi, Black
Caribbean and Black African) the rates of inter-ethnic partnership were lower
among women than men from the same group.
24
26. ETHNICITY AND FAMILY
Table 5: Partnership patterns among women, by selected
ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
N (all
women)
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 34 64 2 97 3 127,785
Other White 35 39 26 60 40 8,031
Mixed White
and
Caribbean
62 3 35 7 93 220
Mixed White
and African
50 12 37 25 75 120
Mixed White
and Asian
41 5 54 7 93 151
Other Mixed 47 9 43 18 82 229
Indian 23 69 8 89 11 2,374
Pakistani 23 72 5 94 6 1,573
Bangladeshi 25 72 3 95 5 520
Other Asian 26 45 29 60 40 907
Black
Caribbean
65 23 12 66 34 1, 310
Black African 54 38 8 83 17 1,302
Chinese 37 39 24 61 39 648
All groups 34 61 5 93 7 146,995
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
By age band
Here we break down the partnership patterns according to the men and
women’s age, divided into three broad bands representing different stages of
life: 16-29, 30-59, 60+. As Table 2 showed, the age distribution varies
substantially across the different groups with implications for the experiences
of groups at different stages of life and their exposure to different ethnic
groups. Breaking down partnership patterns by age band gives us some idea
of trends over time, that is, whether particular forms of partnerships are
increasing with the younger generation. In addition, for the minority groups,
those who are younger are more likely to have grown up in the UK and
therefore to have been exposed to potential UK partners.
25
27. ETHNICITY AND FAMILY
Tables 6-11 suggest that rates of inter-ethnic partnership are generally higher
among younger compared to older adults, though there is some variation in
the pattern. The trends are also complicated by the fact that more of the
younger age group are likely to be single. Among the older age group, women
were substantially less likely than men of the same group to be in an inter-
ethnic partnership.
Table 6: Partnership patterns among men aged 16-29, by
selected ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
NNo
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 41 56 3 95 5 9,261
Other White 55 34 11 75 25 1,329
Indian 56 37 7 84 16 355
Pakistani 45 52 3 94 6 309
Bangladeshi 39 53 8 86 14 81
Black
Caribbean
56 17 27 38 62 86
Black African 80 15 5 74 26 212
Chinese 78 19 3 87 13 180
All groups 46 49 5 90 10 12, 467
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
26
28. ETHNICITY AND FAMILY
Table 7: Partnership patterns among women aged 16-29, by
selected ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
NNo
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 39 58 3 95 5 13,758
Other White 40 40 20 66 34 1,620
Indian 25 67 8 89 11 421
Pakistani 20 78 2 97 3 400
Bangladeshi 22 75 3 96 4 166
Black
Caribbean
79 10 11 49 51 171
Black African 60 32 8 80 20 305
Chinese 59 26 15 63 37 201
All groups 39 55 6 90 10 17,857
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 8: Partnership patterns among men aged 30-59, by
selected ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 21 76 3 96 4 62,555
Other White 27 45 29 61 39 3,783
Indian 12 78 10 89 11 1,497
Pakistani 11 82 7 92 8 943
Bangladeshi 7 87 5 94 6 299
Black
Caribbean
42 25 32 44 56 607
Black African 35 51 14 79 21 752
Chinese 20 65 15 81 19 258
All groups 21 73 6 92 8 72,616
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
27
29. ETHNICITY AND FAMILY
Table 9: Partnership patterns among women aged 30-59, by
selected ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 24 73 3 97 3 69,844
Other White 25 42 33 56 44 4,208
Indian 16 74 10 88 12 1,542
Pakistani 21 73 6 92 8 999
Bangladeshi 23 73 4 95 5 310
Black
Caribbean
60 24 16 60 40 851
Black African 50 42 8 84 16 902
Chinese 22 47 31 60 40 389
All groups 25 69 6 92 8 81,308
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 10: Partnership patterns among men aged 60+, by
selected ethnic group, row percentages
Ethnic
group
All adults Couples only Un-
weighted
NNo
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White
British
25 73 2 98 2 37,204
Other White 28 49 23 68 32 1,858
Indian 17 71 12 86 14 406
Pakistani 12 80 8 91 9 187
Black
Caribbean
44 44 12 78 22 288
Black
African
36 48 15 76 24 72
Chinese 20 70 10 88 12 61
All groups 25 72 3 96 4 40,446
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
28
30. ETHNICITY AND FAMILY
Table 11: Partnership patterns among women aged 60+, by
selected ethnic group, row percentages
Ethnic group All adults Couples only Un-
weighted
NNo
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 48 51 1 98 2 44,058
Other White 49 34 17 66 34 2,191
Indian 48 49 3 95 5 408
Pakistani 49 50 1 97 3 170
Black
Caribbean
68 31 1 98 2 284
Black African 77 18 5 78 22 82
Chinese 46 34 20 62 38 58
All groups 48 50 2 96 4 47,649
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
By UK-born (or arrived aged under 14)
Those from minority groups who are UK-born (or arrived aged under 14) will
tend to be younger, which explains why there were more of them not in
partnerships. However, consistent with our expectations, there still seemed to
be more with a partner from a different ethnic group than when those who
came to the UK as adults were included (compare Tables 4 and 5). This is
made clearer when the focus is simply on those who are in couples. For
example, 39 per cent of UK-born (or raised) Black African men and 36 per
cent of UK born Black African women were in inter-ethnic partnerships
compared with the overall rate of 22 per cent of Black African men and 17 per
cent of Black African women.
29
31. ETHNICITY AND FAMILY
Table 12: Partnership patterns among men UK-born or arrived
aged under 14, by selected ethnic group, row
percentages
Ethnic group All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 24 73 3 96 4 107,882
Other White 27 48 25 67 33 3,366
Indian 22 63 15 81 19 763
Pakistani 21 71 8 90 10 550
Bangladeshi 22 69 9 88 12 145
Black
Caribbean
47 20 33 37 63 548
Black African 57 27 16 61 39 181
Chinese 39 39 22 64 36 107
All groups 24 72 4 95 5 114,276
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 13: Partnership patterns among women UK-born or
arrived UK under 14, by selected ethnic group, row
percentages
Ethnic group All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 34 64 2 97 3 125, 934
Other White 37 46 18 72 28 3,574
Indian 25 60 15 79 21 778
Pakistani 25 68 7 90 10 589
Bangladeshi 27 70 3 95 5 190
Black
Caribbean
68 18 14 55 45 799
Black African 64 23 13 64 36 212
Chinese 41 25 34 42 58 127
All groups 34 63 3 95 4 133,123
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
30
32. ETHNICITY AND FAMILY
By presence of children
The next two tables focus only on the experience of those living in families
with dependent children under 16. These highlight the extent to which the next
generation is exposed similarly to the variations in ethnic group family
composition outlined at the beginning of this section. This draws attention to
likely future experience, both by the focus on families where there are children
and because the men and women in such families will tend to be younger. As
we saw, there were fewer mixed ethnicity partnerships among men and
women who were older rather than those who were younger.
Table 14 shows the partnership patterns for men in families with children aged
15 or under and Table 15 shows the partnership patterns for women in
families with children aged 15 or under. Given the rarity of lone fathers, Table
14 (for men) focuses just on couple parent families with children. Tables 14
and 15 show that rates of inter-ethnic partnerships among couples with
children were slightly lower than the overall rates for the groups. Thus, rates
of inter-ethnic partnership may slightly exaggerate the extent to which future
mixed generations will ensure. However, the differences are not large, and for
Black Caribbean the pattern is reversed, as couples with children are more
likely to be in an inter-ethnic partnership.
Table 14: Partnership patterns among men in families with
children under 16, by selected ethnic group, row
percentages
Ethnic group Couples only Un-weighted
NPartner from
same ethnic
group
Partner from
different ethnic
group
White British 96 4 28,100
Other White 63 37 1,662
Indian 90 10 895
Pakistani 93 7 822
Bangladeshi 95 5 297
Black Caribbean 45 55 279
Black African 81 19 428
Chinese 80 20 128
All groups 92 8 33,752
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
31
33. ETHNICITY AND FAMILY
Table 15: Partnership patterns among women in families with
children under 16, by selected ethnic group, row
percentages
Ethnic group All parents Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White British 23 74 3 96 4 37,482
Other White 19 47 34 58 42 2,290
Indian 10 81 9 90 10 1,012
Pakistani 15 81 4 95 5 972
Bangladeshi 16 82 2 98 2 356
Black
Caribbean
63 22 15 60 40 591
Black African 43 49 8 86 14 755
Chinese 11 55 34 62 38 190
All groups 23 70 6 92 8 45,268
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Section 3: Children and family ethnicity
Rather than looking at the adults involved in the partnerships this section
takes the issue of family type from the perspective of children. It illustrates
what proportion of children from the different ethnic groups experience
different sorts of family patterns. For children, the proportions are broken
down according to the ethnicity of the child’s father and mother and according
to the ethnicity of the child themselves (as allocated by their parents).
Table 16 shows the distribution of children across different family types
according to their own ethnicity. For example, we can see that 23 per cent of
White British children were living in lone parent families, but where they were
living with couple parents, 95 per cent of them were living with parents from
the same ethnic group. Unsurprisingly, the vast majority of children allocated
to one of the mixed groups were living with parents from different ethnic
groups. Where they were found to be living with parents of the same ethnic
group, those parents may themselves have been from the same mixed group,
or the child may have been living in a reconstituted family where the couple
parents were not both their biological parents.
32
34. ETHNICITY AND FAMILY
Interestingly, 65 per cent of Black Caribbean children were in one parent
families. Where they were living in two parent families, as many as 23 per
cent were living with parents from different ethnic groups. In those cases, the
allocation of the children to a non-mixed category may reflect the perceived
dominance of one part of their heritage, or again it may be a result of living in
a reconstituted family. The proportion of children in this position from the
other, main non-mixed categories were much smaller. Around 5 per cent of
White British, Indian, Pakistani and Bangladeshi children and 12 per cent of
Black African children were living with parents of different ethnicities.
33
35. ETHNICITY AND FAMILY
Table 16: Children’s (aged under 16) distribution across
family types, by child’s own ethnic group (selected),
row percentages
Child’s
ethnic group
All families Couple families only Un-
weighted
N (all
children)
Lone
parent
families
Couple
parent
families,
parents
from
same
ethnic
group
Couple
parent
families,
parents
from
different
ethnic
groups
Parents
from
same
ethnic
group
Parents
from
different
ethnic
groups
White
British
23 73 4 95 5 65,631
Other White 19 63 18 78 22 2,638
Mixed White
and
Caribbean
51 4 46 7 93 892
Mixed White
and African
37 8 55 12 88 305
Mixed White
and Asian
24 5 71 7 93 630
Other Mixed 34 6 60 9 91 414
Indian 10 85 5 94 6 1,675
Pakistani 15 80 5 95 5 2,228
Bangladeshi 14 84 2 97 3 876
Other Asian 11 72 16 82 18 606
Black
Caribbean
65 27 8 77 23 861
Black
African
44 49 7 88 12 1,551
Other Black 47 37 16 70 30 136
Chinese 15 74 10 88 12 240
All groups 23 70 6 92 8 79,941
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Rather than focusing on the child’s ethnic group, we can look at the proportion
of children living in different family situations according to the ethnicity of their
father and mother. Since lone fathers are so rare, proportions in lone parent
families cannot robustly be calculated for a large number of the groups.
Therefore Table 17 simply focuses on children’s distribution in couple parent
families by the ethnic group of the father.
34
36. ETHNICITY AND FAMILY
Table 17: Children’s (aged under 16) distribution across
couple parent family types, by father’s ethnic group
(selected), row percentages
Father’s ethnic group Couple families only Un-weighted N
Parents from
same ethnic
group
Parents from
different
ethnic
groups
White British 96 4 49,080
Other White 62 38 2,935
Mixed White and
Caribbean
9 91 103
Mixed White and
African
31 69 51
Mixed White and Asian 9 91 88
Other Mixed 20 80 83
Indian 90 10 1,575
Pakistani 93 7 1,910
Bangladeshi 97 3 746
Other Asian 76 24 590
Black Caribbean 45 55 509
Black African 83 17 826
Other Black 57 43 67
Chinese 79 21 212
All groups 92 8 59,927
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
We see from Table 17 that 96 per cent of children with a White British father
and living with two parents are living with two White British parents. This is
higher than the proportion for children with fathers from all other ethnic
groups, except for children with a Bangladeshi father. At the other end of the
spectrum, only 45 per cent of those with a Black Caribbean father and living
with two parents are living with two Black Caribbean parents.
35
37. ETHNICITY AND FAMILY
Table 18: Children’s (aged under 16) distribution across
family types, by mother’s ethnic group (selected),
row percentages
Mother’s
ethnic group
All families Couple families
only
Un-
weighted
N
(children
with co-
resident
mothers)
Lone
parent
families
Couple
parent
families,
parents
from
same
ethnic
group
Couple
parent
families,
parents
from
different
ethnic
groups
Parents
from
same
ethnic
group
Parents
from
different
ethnic
groups
White British 22 75 3 96 4 64,381
Other White 18 49 34 59 41 3,803
Mixed White
and
Caribbean
57 5 38 12 88 193
Mixed White
and African
38 21 41 -- -- 81
Mixed White
and Asian
36 9 55 14 86 97
Other Mixed 37 13 51 20 80 139
Indian 9 82 9 90 10 1,744
Pakistani 15 81 4 95 5 2,227
Bangladeshi 14 85 1 99 1 864
Other Asian 10 61 29 68 32 744
Black
Caribbean
59 24 17 60 40 979
Black African 43 49 8 86 14 1,495
Other Black 37 39 24 63 37 98
Chinese 12 55 33 62 38 314
All groups 22 72 6 92 8 78,705
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Proportions of children living with a lone mother varied with the ethnic group
of that mother, from nine per cent of those living with an Indian mother, to
over half of those living with a Mixed White and Black Caribbean mother.
Overall, 22 per cent of children were in this position. Turning to those living
with couple parents, almost all of those living with a Bangladeshi mother were
living with two Bangladeshi parents. Proportions living with co-ethnic parents
were also high for those living with a White British and those living with a
Pakistani mother. This dropped to 60 per cent of those with Caribbean mother
and living with two parents. However, this was still substantially higher than
36
38. ETHNICITY AND FAMILY
the proportion living with a Black Caribbean father and in a couple parent
family illustrated in Table 17.
Section 4: Comparison with the 2001 Census and with
Berthoud’s analysis of the 1994 Fourth National Survey of
Ethnic Minorities
As noted above, the published Census analysis of inter-ethnic unions focused
on married couples only. It also used both precise (narrow) and broader
definitions of a match. Figure 1 and Figure 2 illustrate (for men and women
respectively) a comparison between the Census results and the LFS using the
same definitions as were employed for the Census analysis. The
comparisons employ both a narrower – or more precise definition of a ‘match’
– and a broader definition. The comparisons are illustrated for selected ethnic
groups only. They show little evidence of a trend away from co-ethnic
marriages within the short time period between 2001 and the LFS data (2004-
2008), except, perhaps for the Black Caribbeans and for the Chinese group.
Figure 1: Comparison of proportion of marriages that are co-
ethnic, by selected ethnic groups, 2001 Census and
2004-2008 LFS: men
0
10
20
30
40
50
60
70
80
90
100
White British Indian Pakistani Bangladeshi Black
Caribbean
Black African Chinese
%
Census Precise
LFS Precise
Census Broad
LFS Broad
37
39. ETHNICITY AND FAMILY
Figure 2: Comparison of proportion of marriages that are co-
ethnic, by selected ethnic groups, 2001 Census and
2004-2008 LFS: women
0
10
20
30
40
50
60
70
80
90
100
White British Indian Pakistani Bangladeshi Black
Caribbean
Black African Chinese
%
Census
Precise
LFS Precise
Census Broad
LFS Broad
Berthoud, in his analysis of the Fourth National Survey of Ethnic Minorities
(Berthoud and Beishon 1997), reported the proportions of children living with
two parents who had one parent who was White. These are shown by ethnic
group in Table 19, alongside comparable estimates from the current LFS
analysis. Although the definitions are not exactly the same in the two sources
(for example, the Berthoud analysis is based on knowing that the two adults
living with the child are actually their parents (rather than, for example step-
parents), they are broadly comparable.
Table 19 indicates that there was an increase in the proportion of minority
group children who also have white heritage over the period. This is
consistent with the emergence of a substantial population of mixed or multiple
ethnicities. Of course, as with all the preceding analysis focused on couples,
these figures do not include those children living with a White lone parent
whose non-resident parent was from a minority, or those living with a minority
lone parent whose non-resident parent was not White.
38
40. ETHNICITY AND FAMILY
Table 19: Proportion of children who had one white parent,
cell percentages
Caribbean Indian Pakistani Chinese
Fourth
National
Survey 1994
39 3 1 15
LFS
household
datasets
2004-2008
49
(N=366)
11
(N=995)
4
(N=866)
35
(N=192)
Source: Berthoud & Beishon 1997, Table 2.8; LFS household data sets,
October-December 2004 to April-June 2008.
Note: in the Fourth National Survey analysis, the Indian group is combined
with African Asian, but the latter typically fall in the Indian category if not
distinguished; and also in the Fourth National Survey, the Pakistani and
Bangladeshi groups have been combined for the proportion in column three.
Section 5: ‘Mixed’ families
Mixed ethnicity at an individual level and mixed ethnicities within households
mean that many families have links to different heritages at level of
grandparents or parents. We can bring these aspects of inter-ethnic unions
and mixed ethnicity together to look at what share of children have some
experience of mixed heritage in one of these ways.
Table 20 shows rates of mixed ethnicity adults and children in the top row. It
shows how mixed ethnicity increases across younger generations. It
additionally reveals children’s overall experience of mixed ethnicity, when
taking account of whether they live with a mixed ethnicity parent or parents
from different ethnic groups. We see that 9 per cent of children had some
exposure to mixed heritages in one of these ways.
39
41. ETHNICITY AND FAMILY
Table 20: Adults and children in mixed ethnicity families, cell
percentages
Adults Children
under 16All Under 60
From mixed ethnic group 0.5 1.4 2.9
And/or living with a parent of mixed
ethnicity
-- -- 5.1
And/or living with parents of
different ethnicities
-- -- 8.9
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Section 6: Lone parenthood and comparison with Berthoud’s
analysis of the LFS 1992-1995
Since we cannot identify the ethnicity of the partner in lone parent families,
this section simply explores the proportions of lone parents with a child of a
different ethnicity to themselves. This is illustrated in Table 21. It appears to
be slightly higher than the overall rate of inter-ethnic partnerships among
women in couples shown in Table 5, suggesting that such relationships may
be more common among those who experience lone parenthood at some
point.
Table 21: Co-residence of lone parents with children of
different ethnicities, lone parents and men and
women in couple parent families, cell percentages
Lone parents
Proportion living with a child under 16 of different
ethnic group to parent
8
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
In his analysis of the Labour Force Survey between 1992 and 1995, Berthoud
considered the proportion of children who live with at least one Caribbean
parent who also live with two Caribbean parents. He found that only a quarter
of children with a Caribbean mother or a Caribbean father were living with
both a Caribbean mother and a Caribbean father. The remainder were either
living with only one parent or were living with a White parent as well as a
Caribbean parent.
40
42. ETHNICITY AND FAMILY
Table 23 compares his results with the more recent findings from the current
analysis. It shows there was a decline from around a quarter of children with a
Black Caribbean parent living with two Black Caribbean parents, to a fifth of
children in this situation. The change came from an increase in those having a
White parent as well as a Caribbean parent rather than from an increase in
lone parenthood within the group.
The final section of Table 22 considers those with at least one Black African
parent in the same way. It shows a roughly similar pattern, though for this
group far fewer were living with a White mother, and nearly half were living
with two Black African parents.
Table 22: Composition of families where at least one parent
was Caribbean, 1992-1995 and 2004-2008 compared,
cell percentages
Caribbean
father
White father Father not
present
LFS 1992-
1995
Caribbean
mother
24 10 48
White mother 15 -- --
Mother not
present
3 -- --
Household
LFS 2005-
2008
Caribbean
mother
20 8 49
White mother 20 -- --
Mother not
present
3 -- --
Black African
father
White father Father not
present
Household
LFS 2005-
2008
Black African
mother
47 3 42
White mother 5 -- --
Mother not
present
2 -- --
Source: Berthoud (2005), Table 8.7; LFS household data sets October-
December 2004 to April-June 2008, weighted proportions.
Section 7: Religion
This section repeats the Tables from Section 2 on partnership patterns by
ethnic group, but exploring the patterns according to religious affiliation
instead. Again, the Other category is an aggregate one so is not particularly
informative about religious matching in partnerships. It is therefore given in
Tables 23 and 24 for completeness but subsequently excluded. Those with no
41
43. ETHNICITY AND FAMILY
religious affiliation are included as not having a religious affiliation may be an
important point of commonality between partners.
Tables 23 and 24 outline the patterns of matching by religious affiliation for
men and women respectively. To a large extent the patterns of matching in
partnerships by religion reflect the patterns of partnerships by ethnic group.
For example, two-thirds of Muslims are Pakistani or Bangladeshi, and this is
reflected in the similarity between matching on ethnicity for these groups and
matching on religion among Muslims.
Table 23: Partnership patterns among men, by religion, row
percentages
Religious
affiliation
All adults Couples only Un-
weighted
N (all
men)
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 24 73 3 95 5 95,640
Buddhist 42 32 26 55 45 361
Hindu 25 69 6 92 8 1,319
Jewish 27 49 24 67 33 562
Muslim 25 68 7 90 10 3,484
Sikh 21 72 7 91 9 663
Any other 36 34 30 52 48 957
No religion 31 40 29 59 41 22,554
All
religions
(and none)
25 66 9 88 12 125,540
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
42
44. ETHNICITY AND FAMILY
Table 24: Partnership patterns among women, by religion, row
percentages
Religious
affiliation
All adults Couples only Un-
weighted
N (all
women)
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 34 60 6 91 9 118,776
Buddhist 36 24 40 38 62 509
Hindu 23 71 6 92 8 1,352
Jewish 36 45 19 70 30 621
Muslim 29 68 2 97 3 3,655
Sikh 23 72 5 93 7 702
Any
other
41 28 31 47 53 1,221
No
religion
37 48 15 76 24 19,931
All
religions
(and
none)
34 58 8 88 12 146,767
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Tables 25-30 show the partnership patterns by religious affiliation, according
to age band for men and women. These tables give an overall indication of an
increase in partnerships across religious affiliations for younger compared to
older generations, though the pattern is not consistent for all groups and both
sexes. In particular, younger Muslim women did not show an increase in inter-
religious partnership compared to older Muslim women. And younger men
with no religious affiliation were less likely to be partnered with someone
affiliating to a religion than their older counterparts.
43
45. ETHNICITY AND FAMILY
Table 25: Partnership patterns among men aged 16-29, by
religion, row percentages
Ethnic
group
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 44 49 7 88 12 6,878
Buddhist 70 13 17 -- -- 50
Hindu 69 26 5 83 17 218
Jewish 58 28 14 68 32 55
Muslim 51 43 6 88 12 722
Sikh 49 44 6 87 13 101
No
religion
46 36 18 67 33 149
All
religions
(and
none)
46 43 11 80 20 4,249
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
44
46. ETHNICITY AND FAMILY
Table 26: Partnership patterns among women aged 16-29, by
religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 38 51 11 82 18 10,622
Buddhist 38 18 45 28 72 79
Hindu 28 67 5 93 7 250
Jewish 31 41 28 59 41 61
Muslim 25 74 1 98 2 949
Sikh 22 73 6 93 7 119
No
religion
44 42 14 76 24 5,556
All
religions
(and
none)
39 50 11 81 19 17,809
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
45
47. ETHNICITY AND FAMILY
Table 27: Partnership patterns among men aged 30-59, by
religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 20 76 4 95 5 53,034
Buddhist 36 36 28 56 44 245
Hindu 13 81 6 93 7 886
Jewish 22 49 29 62 38 293
Muslim 16 76 8 91 9 2,314
Sikh 13 79 8 91 9 437
No
religion
26 44 30 59 41 14,765
All
religions
(and
none)
21 69 10 87 13 72,528
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
46
48. ETHNICITY AND FAMILY
Table 28: Partnership patterns among women aged 30-59, by
selected religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 24 69 8 90 10 64,054
Buddhist 30 27 43 39 61 356
Hindu 14 78 8 90 10 881
Jewish 24 51 25 67 33 307
Muslim 26 71 3 96 4 2,317
Sikh 18 75 7 92 8 464
No
religion
31 53 16 76 24 12,084
All
religions
(and
none)
25 66 9 88 12 81,184
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
47
49. ETHNICITY AND FAMILY
Table 29: Partnership patterns among men aged 60+, by
religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 25 74 1 98 2 35,614
Buddhist 36 36 28 56 44 65
Hindu 17 78 5 94 6 211
Jewish 24 57 19 75 25 214
Muslim 16 78 6 93 7 422
Sikh 21 73 6 94 6 124
No
religion
31 32 37 46 54 5,508
All
religions
(and
none)
25 70 5 94 6 40,410
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
48
50. ETHNICITY AND FAMILY
Table 30: Partnership patterns among women aged 60+, by
religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 48 49 3 95 5 43,990
Buddhist 63 19 19 50 50 73
Hindu 53 46 1 99 1 220
Jewish 52 38 10 79 21 253
Muslim 55 42 3 94 6 377
Sikh 41 59 0 100 0 118
No
religion
51 37 12 76 24 326
All
religions
(and
none)
48 49 3 94 6 2,241
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Tables 31 and 32 explore whether being UK-born increases the chances of a
partnership with someone from a different religion for those with the different
affiliations. It shows that for many groups this was the case. For example,
comparing Table 32 with Table 24, shows that UK-born Sikh and Hindu
women were far more likely to be in a partnership with a non co-religionist
than women from those faiths overall. However, being UK-born did not appear
to change Muslim women’s tendency to be in co-religionist unions. We might
expect that experience of being brought up in the UK at a time of declining
religious affiliation overall might affect adherence to a particular faith, but
given that adherence we would not necessarily expect a greater tendency to
partner with those of other religions. However, the measure of religious
affiliation does not capture religiosity or strength of belief and so there may be
differences between generations for some groups, in the extent to which
religious affiliation shapes other aspects of individuals’ world view and
practices.
49
51. ETHNICITY AND FAMILY
Table 31: Partnership patterns among men UK-born or arrived
aged under 14, by religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 23 74 3 96 4 89,807
Buddhist 47 17 36 31 69 197
Hindu 29 61 10 85 15 324
Jewish 27 49 24 67 33 484
Muslim 22 73 5 93 7 981
Sikh 20 67 12 84 16 294
No
religion
30 41 29 48 52 21,293
All
religions
(and
none)
24 67 9 88 12 114,132
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
50
52. ETHNICITY AND FAMILY
Table 32: Partnership patterns among women UK-born or
arrived aged under 14, by religion, row percentages
Religious
affiliation
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 34 60 6 91 9 110,869
Buddhist 55 13 31 30 70 205
Hindu 27 57 17 77 23 327
Jewish 35 48 17 73 27 500
Muslim 29 69 2 97 3 1,126
Sikh 26 65 9 87 13 301
No
religion
37 48 15 76 24 18,661
All
religions
(and
none)
34 58 8 88 12 132,944
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Finally, Tables 33-34 illustrate the partnership patterns just in those families
with children aged under 16. When bringing up children, commonality of
religious belief may, after all, be regarded as particularly important. It also
illustrates the extent to which children are exposed to more than one religion.
Christian men, though not women, are least likely to parent with someone of a
different religion. As previously mentioned, Table 33 just covers distributions
across couple parent families since the incidence of lone fathers is too small
for analysis. There appears to be relatively little variation in the distributions in
Tables 33 and 34 and those in Tables 23 and 24, and there is certainly no
evident pattern to the distributions. It would seem that being in a family with
children compared to all families does not play a significant role in the
probability of being in a relationship with a non co-religionist rather than a co-
religionist.
51
53. ETHNICITY AND FAMILY
Table 33: Partnership patterns among men in families with
children under 16, by religion, row percentages
Religious affiliation Couple parents only Un-weighted
NPartner from
same religion
Partner from
different religion
Christian 94 6 10,159
Buddhist 58 42 42
Hindu 94 6 237
Jewish 68 32 69
Muslim 90 10 598
Sikh 85 15 97
No religion 61 39 3,130
All groups
All religions (and
none)
86 14 14,427
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
Table 34: Partnership patterns among women in families with
children under 16, by religion, row percentages
Religious
affiliation
All mothers Couple parents only Un-
weighted
NNo
partner
Partner
from
same
religion
Partner
from
different
religion
Partner
from
same
religion
Partner
from
different
religion
Christian 26 65 9 88 12 15,209
Buddhist 18 32 50 39 61 81
Hindu 8 83 9 91 9 273
Jewish 14 62 24 72 28 76
Muslim 22 76 2 97 3 731
Sikh 19 78 3 96 4 118
No
religion
36 50 14 78 22 4,003
All
religions
(and
none)
28 62 10 86 14 20,664
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
52
54. ETHNICITY AND FAMILY
Annex 1: Data Acknowledgments and bibliographic citation
The data were deposited by the creators, the Office for National Statistics with
the UK Data Archive. I am grateful to both ONS and the UK Data Archive for
access to these data. Neither of these however bear any responsibility for
their further analysis or interpretation in this paper.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, October - December, 2005
[computer file]. Colchester, Essex: UK Data Archive [distributor], October
2008. SN: 6038.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, October - December, 2004
[computer file]. Colchester, Essex: UK Data Archive [distributor], October
2008. SN: 6037.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, April - June, 2008 [computer file].
Colchester, Essex: UK Data Archive [distributor], October 2008. SN: 6034.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, October - December, 2007
[computer file]. 2nd Edition. Colchester, Essex: UK Data Archive [distributor],
October 2008. SN: 5802.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, April - June, 2007 [computer file].
2nd Edition. Colchester, Essex: UK Data Archive [distributor], October 2008.
SN: 5716.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, October - December, 2006
53
55. ETHNICITY AND FAMILY
[computer file]. 2nd Edition. Colchester, Essex: UK Data Archive [distributor],
October 2008. SN: 5616.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, April - June, 2006 [computer file].
3rd Edition. Colchester, Essex: UK Data Archive [distributor], October 2008.
SN: 5500.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, April - June, 2005 [computer file].
2nd Edition. Colchester, Essex: UK Data Archive [distributor], October 2008.
SN: 5465.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, April - June, 2004 [computer file].
2nd Edition. Colchester, Essex: UK Data Archive [distributor], October 2008.
SN: 5464.
Office for National Statistics. Social and Vital Statistics Division and Northern
Ireland Statistics and Research Agency. Central Survey Unit, Quarterly
Labour Force Survey Household Dataset, September - November, 2005
[computer file]. Colchester, Essex: UK Data Archive [distributor], February
2006. SN: 5327.
Census data are Crown Copyright and are reproduced by permission.
54
56. ETHNICITY AND FAMILY
Annex 2: Varying the definition of what constitutes a ‘match’
Here Tables 4 and 5 are repeated with a ‘broad’ rather than a ‘narrow’
definition of a match. The main aspect of partnerships they illuminate is the
fact that most of the Other White group, who partner with someone of a
different ethnicity, partner with someone from the White British majority.
Table A4: Partnership patterns among men, by selected
ethnic group, row percentages, broad match
employed
Ethnic
group
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White
British
24 75 1 99 1 109,140
Other White 34 64 2 96 4 6,980
Mixed White
and
Caribbean
44 7 49 13 87 144
Mixed White
and African
40 20 40 34 66 76
Mixed White
and Asian
38 10 52 16 84 138
Other Mixed 40 16 44 26 74 160
Indian 21 71 7 91 9 2,263
Pakistani 20 76 4 95 5 1,446
Bangladeshi 15 81 4 96 4 451
Other Asian 31 54 15 79 21 769
Black
Caribbean
44 32 24 57 43 987
Black
African
46 45 9 82 18 1,040
Chinese 44 46 9 66 34 499
All groups 25 73 2 97 3 125, 712
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
55
57. ETHNICITY AND FAMILY
Table A5: Partnership patterns among women, by selected
ethnic group, row percentages
Ethnic
group
All adults Couples only Un-
weighted
N
No
partner
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
Partner
from
same
ethnic
group
Partner
from
different
ethnic
group
White
British
34 65 1 99 1 127,785
Other White 35 63 2 96 4 8,031
Mixed White
and
Caribbean
62 6 32 16 84 220
Mixed White
and African
50 19 30 39 61 120
Mixed White
and Asian
41 10 49 15 85 151
Other Mixed 47 11 42 20 80 229
Indian 23 71 6 92 8 2,374
Pakistani 24 74 2 97 3 1,573
Bangladeshi 25 74 1 99 1 520
Other Asian 26 49 25 66 34 907
Black
Caribbean
65 25 10 72 28 1, 310
Black
African
55 39 6 86 14 1,302
Chinese 37 39 24 61 39 648
All groups 34 64 2 97 3 146,995
Source: LFS household data sets October-December 2004 to April-June
2008, weighted proportions.
56
58. ETHNICITY AND FAMILY
57
References
Aspinall, P. (2000) ‘The challenges of measuring the ethno-cultural diversity of
Britain in the new millennium’ Policy & Politics 28 (1): 109–118.
Aspinall, P.J. (2003) ‘The conceptualisation and categorisation of mixed
race/ethnicity in Britain and North America: Identity options and the role of the
state’ International Journal of Intercultural Relations 27(3): 269-296.
Berthoud, R. (2005) 'Family formation in multicultural Britain: diversity and
change' in G. C. Loury, T. Modood and S. M. Teles (eds) Ethnicity, Social
Mobility and Public Policy. Cambridge: Cambridge University Press, pp. 222-
253.
Berthoud, R. and Beishon, S. (1997) 'People, families and households' in T.
Modood, et al. (eds) Ethnic Minorities in Britain: Diversity and Disadvantage.
London: PSI, pp. 18-59.
Brynin, M. Longhi, S. and Martinez Perez, A. (2008) 'The social significance of
homogamy' in J. Ermisch and M. Brynin (eds) Changing Relationships.
London: Routledge, pp. 73-90.
Fryer, R.G. (2007) ‘Guess who’s been coming to dinner? Trends in interracial
marriage over the 20th Century. Journal of Economic Perspectives 21 (2): 71-
90.
Peach, C. 2005. ‘Social integration and social mobility: segregation and
intermarriage of the Caribbean population in Britain.’ Pp. 178-203 in Ethnicity,
Social Mobility and Public Policy: Comparing the US and UK, edited by G. C.
Loury, T. Modood, and S. M. Teles. Cambridge: Cambridge University Press.
Simpson, L., Purdam, K., Tajar, A., Fieldhouse, E., Gavalas, V., Tranmer, M.,
Pritchard, J. and Dorling, D. (2006) 'Ethnic Minority Populations and the
Labour Market: An Analysis of the 1991 and 2001 Census', DWP Research
Report 333, Leeds: Corporate Document Services.
Wildsmith, E. Gutmann, M.P. and Gratton, B. (2003) ‘Assimilation and
intermarriage for U.S. immigrant groups, 1880–1990’ History of the Family 8:
563–584.
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