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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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TwitterAnnual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.
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TwitterSeries Name: Proportion of women aged 20-24 years who were married or in a union before age 15 (percent)Series Code: SP_DYN_MRBF15Release Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.3.1: Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18Target 5.3: Eliminate all harmful practices, such as child, early and forced marriage and female genital mutilationGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This folder contains data behind the story Marriage Isn’t Dead — Yet.
Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via IPUMS USA.
Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have ever been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is currently divorced, conditional on having ever been married.
Variable names are as follows. Number in variable names are age ranges, so all_2534 is the marriage rate for everyone ages 25 to 34.
| Header | Description |
|---|---|
all | Total (or all men/women in sex-specific files) |
HS | High school graduate or less (EDUCD < 65) |
SC | Some college (EDUCD >= 65 & <= 100) |
BAp | Bachelor's degree or more (EDUCD > 100) |
BAo | Bachelor's degree, no graduate degre (EDUCD > 100 & <= 113) |
GD | Graduate degree (EDUCD > 113) |
White | Non-Hispanic white |
Black | Black or African-American |
Hisp | Hispanic of any race |
NE | New England (REGION == 11) |
MA | Mid-Atlantic (REGION == 12) |
Midwest | Midwest (REGION == 21-23) |
South | South (REGION == 31-34) |
Mountain | Mountain West (REGION == 41) |
Pacific | Pacific (REGION == 42) |
poor | Family income in lowest 25% |
mid | Family income in middle 50% |
rich | Family income in top 25% |
work | Employed 50+ weeks prior year |
nowork | Not employed at least 50 weeks prior year |
nokids_all | No own children living at home |
kids_all | At least one own child living at home |
This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!
This dataset is maintained using GitHub's API and Kaggle's API.
This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.
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License information was derived automatically
The dataset provides the general marriage rate for Qataris, categorized by nationality and gender, per 1,000 population aged 15 years and above. It includes data from 2014 to 2022, presenting marriage rates for both males and females, with specific values for each year. This information is essential for understanding trends in marriage behaviors within the Qatari population over time.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This folder contains data behind the story Marriage Isn’t Dead — Yet.
"There’s no question Americans are getting married later in life. But most still get married eventually, or at least they have so far. More than 70 percent of Americans have been married at least once by age 35, down from more than 90 percent 30 years ago but still a solid majority.3 Moreover, most of the trends in marriage have been fairly steady. So it’s probably reasonable to assume that today’s 25- to 34-year-olds will follow the same general path as those a decade older. Focusing on those two age groups reveals some interesting patterns.
The chart below shows the marriage rate,4 broken down by education. For Americans ages 25 to 34, the rate has fallen faster for less-educated men than for those with a college degree, but there is a clear downward trend for all groups that has accelerated since about 2005.
For people a decade older, however, the story is significantly different. The decline is much steeper among the less educated. Among college graduates, in fact, marriage rates have hardly fallen at all since 2000, and are only modestly lower than they were in 1980.5" - Excerpt from the article provided above.
The data was obtained from the FiveThirtyEight collection of datasets.
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This folder contains data behind the story Dear Mona: How Many Americans Are Married To Their Cousins?
| Header | Definition |
|---|---|
percent | Percent of marriages that are consanguineous |
Source: cosang.net
This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!
This dataset is maintained using GitHub's API and Kaggle's API.
This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.
Cover photo by Seth Doyle on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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TwitterData on marital status, age group and gender for the population aged 15 and over, Canada, provinces and territories, economic regions, 2021 Census.
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TwitterNumber of divorces and various divorce indicators (crude divorce rate, divorce rate for married persons, age-standardized divorce rate, total divorce rate, mean and median duration of marriage, median duration of divorce proceedings, percentage of joint divorce applications), by place of occurrence, 1970 to most recent year.
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License information was derived automatically
Vietnam VN: Women Who were First Married by Age 18: % of Women Aged 20-24 data was reported at 10.600 % in 2014. This records an increase from the previous number of 9.300 % for 2011. Vietnam VN: Women Who were First Married by Age 18: % of Women Aged 20-24 data is updated yearly, averaging 10.500 % from Dec 1997 (Median) to 2014, with 6 observations. The data reached an all-time high of 12.400 % in 1997 and a record low of 9.300 % in 2011. Vietnam VN: Women Who were First Married by Age 18: % of Women Aged 20-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Population and Urbanization Statistics. Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.; ;
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Contained within the 4th Edition (1974) of the Atlas of Canada is a set of three groups of graphs. The first group is population pyramids showing marital status percentages for Canada as a whole along with the provinces and territories by age and sex. The second group shows the birth and death rates for 1921 to 1965 by province and territory. As well, for 1851 to 1961, the elements of population change are illustrated. The third group shows the intended destination province or territory for immigrants between 1939 and 1969, and the totals of these immigrants by province or territory. Within this last group, the percentages of immigrants by country of birth are also shown.
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TwitterThe number of Iranians getting divorced are on the rise, according to the latest data from the country's Statistics Center.
While the number of marriages in Iran, too, increased during the period between 2019 and 2020 by 4.4%, reaching 556,731 cases, the divorce rates rose by 3.6%, reaching 183,193 cases.
This means that in 2020, for every 100 registered marriages, 32.9 divorces occurred.
According to the statistics reported in Iran's Report on the Social and Cultural Status, published in the fall of 2020, some 51,270 marriages that ended in divorce lasted between one to five years.
Furthermore, 11,715 marriages ended in divorce in just one year. On the other hand, 7,809 marriages of around 29 years were terminated.
In the 2020 report, neither a complete national nor a granular provincial marriage and divorce data has been published therefore data on this topic had to be sourced from other reports.
The latest statistical report on Iran’s divorce and marriage, categorized by province, is related to the first half of last year. This information was taken from the Civil Registration Organization of Iran’s website. This article analyzes this data.
The highest number of marriages, in the first half of 2020, happened in Tehran. During this period, 34,451 marriages were recorded in this province while the lowest number of marriages, namely 1,914 marriages, was recorded in the same period in Semnan province.
The highest number of divorces, in the first half of 2020, was recorded in the Tehran province. During this period, 15,303 divorces were recorded.
Ilam province has the lowest number of divorces, in the same time period, which was 388 cases.
The numerical quantity of marriage and divorce cases is not a good basis for comparison because of the population differences between provinces. Accurate and proportional comparison requires careful consideration of the province’s population that are being compared.
Adding the population variable to this data changes some of the provincial marriage and divorce rankings.
Statistical source:
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China Population: Number of Marriages data was reported at 7,682,141.000 Case in 2023. This records an increase from the previous number of 6,834,972.000 Case for 2022. China Population: Number of Marriages data is updated yearly, averaging 9,210,923.500 Case from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 13,469,267.000 Case in 2013 and a record low of 5,978,171.000 Case in 1978. China Population: Number of Marriages data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: No of Marriage and Divorce.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows six condensed maps of different demographic statistics. The six measures are: birth rates per 1000 population, death rates per 1000 population, natural increase rates per 1000 population, marriage rates per 1000 population, infant mortality rates per 1000 live births, and number of children at home per family. The data for the maps on this plate were derived from the 1951 Census of Canada. It should be noted that birth rates, death rates and infant mortality rates are exclusive of stillborn births and that infant mortality rates are for infant mortalities under one year of age. The map entitled Children at Home pertains to unmarried sons and daughters, including stepchildren, adopted children, guardianship children and wards 24 years of age and under, living with their parents or guardians.
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TwitterThere was a story on FiveThirtyEight.com about the prevalence of marriage to cousins in the United States. This is called Consanguinity and is defined as marriages between individuals who are second cousins or closer. The article included data put together in 2001 for a number of countries. The data source and the article are listed below.
The raw data behind the story Dear Mona: How Many Americans Are Married To Their Cousins? on FiveThirtyEight.com.
Link to FiveThirtyEight's public github repository.
Header | Definition
country | Country names
percent | Percent of marriages that are consanguineous
Source: cosang.net
Data flaws: While the data does compile older sources and some self-reported data, it does match the trends of more recent data based on global genomic data.
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TwitterThis dataset comes from the book Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Location : State name
Loc : State abbreviation
Population : 2010 population in millions
MedianAgeMarriage: 2005-2010 median age at marriage
Marriage : 2009 marriage rate per 1000 adults
Marriage.SE : Standard error of rate
Divorce : 2009 divorce rate per 1000 adults
Divorce.SE : Standard error of rate
WaffleHouses : Number of diners
South : 1 indicates Southern State
Slaves1860 : Number of slaves in 1860 census
Population1860 : Population from 1860 census
PropSlaves1860 : Proportion of total population that were slaves in 1860
All credit should go to Richard McElreath: https://xcelab.net/rm/statistical-rethinking/
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TwitterPopulation (15 Years & Above) by Sex, Age Groups and Marital Status
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The 1997 the Kyrgyz Republic Demographic and Health Survey (KRDHS) is a nationally representative survey of 3,848 women age 15-49. Fieldwork was conducted from August to November 1997. The KRDHS was sponsored by the Ministry of Health (MOH), and was funded by the United States Agency for International Development. The Research Institute of Obstetrics and Pediatrics implemented the survey with technical assistance from the Demographic and Health Surveys (DHS) program. The purpose of the KRDHS was to provide data to the MOH on factors which determine the health status of women and children such as fertility, contraception, induced abortion, maternal care, infant mortality, nutritional status, and anemia. Some statistics presented in this report are currently available to the MOH from other sources. For example, the MOH collects and regularly publishes information on fertility, contraception, induced abortion and infant mortality. However, the survey presents information on these indices in a manner which is not currently available, i.e., by population subgroups such as those defined by age, marital duration, education, and ethnicity. Additionally, the survey provides statistics on some issues not previously available in the Kyrgyz Republic: for example, breastfeeding practices and anemia status of women and children. When considered together, existing MOH data and the KRDHS data provide a more complete picture of the health conditions in the Kyrgyz Republic than was previously available. A secondary objective of the survey was to enhance the capabilities of institutions in the Kyrgyz Republic to collect, process, and analyze population and health data. MAIN FINDINGS FERTILITY Fertility Rates. Survey results indicate a total fertility rate (TFR) for all of the Kyrgyz Republic of 3.4 children per woman. Fertility levels differ for different population groups. The TFR for women living in urban areas (2.3 children per woman) is substantially lower than for women living in rural areas (3.9). The TFR for Kyrgyz women (3.6 children per woman) is higher than for women of Russian ethnicity (1.5) but lower than Uzbek women (4.2). Among the regions of the Kyrgyz Republic, the TFR is lowest in Bishkek City (1.7 children per woman), and the highest in the East Region (4.3), and intermediate in the North and South Regions (3.1 and3.9, respectively). Time Trends. The KRDHS data show that fertility has declined in the Kyrgyz Republic in recent years. The decline in fertility from 5-9 to 0-4 years prior to the survey increases with age, from an 8 percent decline among 20-24 year olds to a 38 percent decline among 35-39 year olds. The declining trend in fertility can be seen by comparing the completed family size of women near the end of their childbearing years with the current TFR. Completed family size among women 40-49 is 4.6 children which is more than one child greater than the current TFR (3.4). Birth Intervals. Overall, 30 percent of births in the Kyrgyz Republic take place within 24 months of the previous birth. The median birth interval is 31.9 months. Age at Onset of Childbearing. The median age at which women in the Kyrgyz Republic begin childbearing has been holding steady over the past two decades at approximately 21.6 years. Most women have their first birth while in their early twenties, although about 20 percent of women give birth before age 20. Nearly half of married women in the Kyrgyz Republic (45 percent) do not want to have more children. Additional one-quarter of women (26 percent) want to delay their next birth by at least two years. These are the women who are potentially in need of some method of family planning. FAMILY PLANNING Ever Use. Among currently married women, 83 percent report having used a method of contraception at some time. The women most likely to have ever used a method of contraception are those age 30-44 (among both currently married and all women). Current Use. Overall, among currently married women, 60 percent report that they are currently using a contraceptive method. About half (49 percent) are using a modern method of contraception and another 11 percent are using a traditional method. The IUD is by far the most commonly used method; 38 percent of currently married women are using the IUD. Other modern methods of contraception account for only a small amount of use among currently married women: pills (2 percent), condoms (6 percent), and injectables and female sterilization (1 and 2 percent, respectively). Thus, the practice of family planning in the Kyrgyz Republic places high reliance on a single method, the IUD. Source of Methods. The vast majority of women obtain their contraceptives through the public sector (97 percent): 35 percent from a government hospital, and 36 percent from a women counseling center. The source of supply of the method depends on the method being used. For example, most women using IUDs obtain them at women counseling centers (42 percent) or hospitals (39 percent). Government pharmacies supply 46 percent of pill users and 75 percent of condom users. Pill users also obtain supplies from women counseling centers or (33 percent). Fertility Preferences. A majority of women in the Kyrgyz Republic (45 percent) indicated that they desire no more children. By age 25-29, 20 percent want no more children, and by age 30-34, nearly half (46 percent) want no more children. Thus, many women come to the preference to stop childbearing at relatively young ages-when they have 20 or more potential years of childbearing ahead of them. For some of these women, the most appropriate method of contraception may be a long-acting method such as female sterilization. However, there is a deficiency of use of this method in the Kyrgyz Republic. In the interests of providing a broad range of safe and effective methods, information about and access to sterilization should be increased so that individual women can make informed decisions about using this method. INDUCED ABORTION Abortion Rates. From the KRDHS data, the total abortion rate (TAR)-the number of abortions a woman will have in her lifetime based on the currently prevailing abortion rates-was calculated. For the Kyrgyz Republic, the TAR for the period from mid-1994 to mid-1997 is 1.6 abortions per woman. The TAR for the Kyrgyz Republic is lower than recent estimates of the TAR for other areas of the former Soviet Union such as Kazakhstan (1.8), and Yekaterinburg and Perm in Russia (2.3 and 2.8, respectively), but higher than for Uzbekistan (0.7). The TAR is higher in urban areas (2.1 abortions per woman) than in rural areas (1.3). The TAR in Bishkek City is 2.0 which is two times higher than in other regions of the Kyrgyz Republic. Additionally the TAR is substantially lower among ethnic Kyrgyz women (1.3) than among women of Uzbek and Russian ethnicities (1.9 and 2.2 percent, respectively). INFANT MORTALITY In the KRDHS, infant mortality data were collected based on the international definition of a live birth which, irrespective of the duration of pregnancy, is a birth that breathes or shows any sign of life (United Nations, 1992). Mortality Rates. For the five-year period before the survey (i.e., approximately mid-1992 to mid1997), infant mortality in the Kyrgyz Republic is estimated at 61 infant deaths per 1,000 births. The estimates of neonatal and postneonatal mortality are 32 and 30 per 1,000. The MOH publishes infant mortality rates annually but the definition of a live birth used by the MOH differs from that used in the survey. As is the case in most of the republics of the former Soviet Union, a pregnancy that terminates at less than 28 weeks of gestation is considered premature and is classified as a late miscarriage even if signs of life are present at the time of delivery. Thus, some events classified as late miscarriages in the MOH system would be classified as live births and infant deaths according to the definitions used in the KRDHS. Infant mortality rates based on the MOH data for the years 1983 through 1996 show a persistent declining trend throughout the period, starting at about 40 per 1,000 in the early 1980s and declining to 26 per 1,000 in 1996. This time trend is similar to that displayed by the rates estimated from the KRDHS. Thus, the estimates from both the KRDHS and the Ministry document a substantial decline in infant mortality; 25 percent over the period from 1982-87 to 1992-97 according to the KRDHS and 28 percent over the period from 1983-87 to 1993-96 according to the MOH estimates. This is strong evidence of improvements in infant survivorship in recent years in the Kyrgyz Republic. It should be noted that the rates from the survey are much higher than the MOH rates. For example, the KRDHS estimate of 61 per 1,000 for the period 1992-97 is twice the MOH estimate of 29 per 1,000 for 1993-96. Certainly, one factor leading to this difference are the differences in the definitions of a live birth and infant death in the KRDHS survey and in the MOH protocols. A thorough assessment of the difference between the two estimates would need to take into consideration the sampling variability of the survey's estimate. However, given the magnitude of the difference, it is likely that it arises from a combination of definitional and methodological differences between the survey and MOH registration system. MATERNAL AND CHILD HEALTH The Kyrgyz Republic has a well-developed health system with an extensive infrastructure of facilities that provide maternal care services. This system includes special delivery hospitals, the obstetrics and gynecology departments of general hospitals, women counseling centers, and doctor's assistant/midwife posts (FAPs). There is an extensive network of FAPs throughout the rural areas. Delivery. Virtually all births in the Kyrgyz Republic (96 percent) are delivered at health facilities: 95 percent in delivery hospitals and another 1 percent in either general hospitals
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TwitterMined from Kenya Demographic and Health Survey, this dataset explores the percent distribution of currently married women age 15-49 who received cash earnings for employment in the 12 months preceding the survey by whether she earned more or less than her husband, according to residence.
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This table includes data on contracted marriages and registered partnerships among the Dutch population.
The following information is available: - Marriages by sex of the partners. - Marrying persons by sex and marital status before marriage. - Average age at marriage by sex and marital status. - Average number of contracted marriages by sex. - Partnership registrations by sex of the partners.
Data available from: 1950
Status of the figures: All figures in this publication are final data.
Changes per 13 June 2025: Final figures of 2024 have been added.
When will new figures be published? Figures of 2025 will be added in the 2nd quarter of 2026.
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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...