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LGA based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterData on marital status, age group and gender for the population aged 15 and over, Canada, provinces and territories, census divisions and census subdivisions, 2021 and 2016 censuses.
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TwitterAnnual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
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SA4 based data for Social Marital Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes overseas visitors. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA4 based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA1 based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
LGA based data for Social Marital Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes overseas visitors. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
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GCCSA based data for Social Marital Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes overseas visitors. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
SA1 based data for Registered Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, and never been married. The counts exclude de facto marriages. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Population broken down by age, gender and whether single or married. Census Area Statistics Table CAS002 Source: Census 2001 Publisher: Nomis Geographies: Lower Layer Super Output Area (LSOA), Middle Layer Super Output Area (MSOA), Local Authority District (LAD), Government Office Region (GOR), National, Parliamentary Constituency, Urban area Geographic coverage: England and Wales Time coverage: 2001 Type of data: Survey (census)
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
GCCSA based data for Registered Marital Status by Age by Sex, in Place of Enumeration Profile (PEP), 2016 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, and never been married. The counts exclude de facto marriages. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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NOTE: Data based on a sample. For information on confidentiality.protection, sampling error, nonsampling error, definitions, and.count corrections see.http://www.census.gov/prod/cen2000/doc/sf4.pdf
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TwitterBy Throwback Thursday [source]
This dataset, titled United States Marriage Status 2005-2017, provides detailed information on marriage rates and population estimates in the United States. The data is sourced from the U.S. Census Bureau's American Community Survey 1-Year Estimates.
The dataset includes several key attributes that offer insights into different aspects of marriage status. These attributes include Year, Gender, Age Group, Metric, Estimated Percent, and Estimated Population.
The Year attribute represents the year in which the data was collected, spanning from 2005 to 2017. It allows for analysis of trends and changes in marriage rates over time.
The Gender attribute categorizes the population groups based on their gender. This information helps explore any variations or differences between male and female populations in terms of marital status.
Age Group attribute classifies individuals into specific age categories within the population. By segmenting the data based on age groups, it becomes possible to analyze how different age demographics contribute to overall marriage rates.
Metric serves as a descriptor for specific measurements or indicators being reported within this dataset. This attribute provides further context for understanding different aspects related to marriage status and its calculation methods.
Estimated Percent denotes the estimated percentage of a particular population group falling into a specific category related to marital status. It offers valuable insights into relative proportions within each demographic group.
Estimated Population showcases estimated count figures representing various subgroups' populations classified by gender, age groupings, and metric categories specified previously. These estimates allow researchers to explore potential correlations between population sizes and marriage rates across various segments of society over time period covered by this dataset.
Overall, this comprehensive United States Marriage Status dataset provides a valuable resource for analyzing trends in marriage rates while considering gender demographics, age distributions within these populations along with respective metrics indicating changes occurring over time periods marked since 2005 until 2017 (date-range excluding exact dates provided). By exploring relationships among these factors using reliable census data available through American Community Survey 1-Year Estimates, researchers can gain deep understanding of marriage status dynamics in the United States
Understand the Columns:
- Year: This column represents the year in which the data was collected. It provides a timeline for analyzing marriage trends over time.
- Gender: This column categorizes individuals based on their gender, providing insights into marriage rates and patterns specific to each gender.
- Age Group: This column categorizes individuals based on their age group. It allows for a detailed analysis of marriage rates and statistics among different age groups.
- Metric: This column specifies the type of data or measurement being reported, providing clarity on what aspect of marriage is being analyzed.
- Estimated Percent: This column represents the estimated percentage of individuals within a population group falling into a particular category. It quantifies marriage rates as percentages.
- Estimated Population: This column provides an estimation of the total population count within a specific category, offering insights into the size and distribution of different population groups.
Analyzing Trends: Use this dataset to analyze trends in US marriage statistics by leveraging various combinations of columns:
- Gender vs Metric: Compare different metrics (e.g., number of marriages, divorce rate) between genders, allowing for an understanding of any gender-specific variations in marital trends.
- Year vs Metric: Study changes in various metrics over time (e.g., changes in average age at first marriage), identifying trends and potential shifts in societal attitudes towards marriage.
- Age Group vs Metric/Gender/Year: Examine how different age groups contribute to overall marital statistics (e.g., comparing divorce rates among different age groups or analyzing changes over time within specific age cohorts).
Interpreting Results: When analyzing this dataset's results, keep these factors in mind:
- Size Differences: Ensure you factor in the estimated population count for eac...
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TwitterIn 2022, there were 67.85 million married men and 68.45 million married women living in the United States. This is compared to 3.7 million widowed men and 11.48 million widowed women.
Marriage in the United States
Nevada had the highest marriage rate in the United States in 2021, followed by Hawaii and Montana. This can be attributed to marriage accessibility in the state. Las Vegas weddings are known for being quick, easy, and inexpensive chapel weddings. In comparison to the cheap weddings available in Las Vegas, the average expenditure for a wedding in the United States was the highest in New Jersey, clocking in at 51,000 U.S. dollars.
Same-sex marriage
The number of Americans who think that same-sex marriage should be recognized by law has more than doubled since 1996, while the number of Americans who think it should not be valid has decreased. It was not until June 26, 2015 that the United States Supreme Court legalized same-sex marriage in all 50 states. Before then, it was up to the states to decide if they allowed same-sex marriage. States in the Southeast are the most opposed to same-sex marriage, whereas the strongest support comes from Northern coastal states.
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Twitter[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia. This table reports marital status by age and sex. This data is sourced from the Census of Population. Geographies available: provinces, counties, communities, municipalities, district health authorities, community health boards, economic regions, police districts, school boards, municipal electoral districts, provincial electoral districts, federal electoral districts, regional development authorities, watersheds.
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TwitterPopulation (15 Years & Above) by Sex, Age Groups and Marital Status
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
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LGA based data for Registered Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over, in the following categories: married, separated, divorced, widowed, and never been married. The counts exclude de facto marriages. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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In 2006, 49.4% of males and 46.5% of females aged 15 years and over were legally married (and not separated), while 2.7% of the males and 3.2% of the females were separated, but still legally married. The male and female proportions for divorced people were 7.2% and 8.8% respectively. The gender gaps in the widowed and never married categories were larger: 2.5% of males and 9.7% of females were widowed while 38.2% of males, but only 31.8% of females were never legally married. In the case of the never married population 15 years of age and over, the highest proportions occurred in Quebec (46.8% of men and 40.0% of women), and the three territories (Yukon: 46.6% of men and 40.7% of women; Northwest Territories: 54.4% of men and 49.4% of women; and Nunavut: 63.4% of men and 59.2% of women). On the other hand, the sexual divergence of rates between males and females never legally married was highest in Alberta (37.7% of males versus 30.4% for females or a 7.3% difference) and Saskatchewan (36.6% of males versus 29.3% for females or a 7.3% spread). For the widowed population, this disparity was most pronounced for Saskatchewan (2.7% widowers versus 11.6% widows or an almost 9% difference). The map shows by census division the marital status of the population 15 years of age and over by gender.
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TwitterAttribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
LGA based data for Social Marital Status by Age by Sex, in General Community Profile (GCP), 2016 Census. Count of persons aged 15 years and over in the following categories: married in a registered marriage, married in a de facto marriage (including same-sex couples), and not married. Excludes persons in 'Visitors only' and 'Other non-classifiable' households, 'Non-private dwellings', and 'Migratory, off-shore and shipping' SA1s. Excludes persons who were temporarily absent on Census Night. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.