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The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2022. The x-axis represents the years, labeled from '00 to '22, while the y-axis indicates the divorce rate per 1,000 individuals. The divorce rate starts at 4.0 per 1,000 in 2000 and 2001, which are the highest values in the dataset. Over the years, there is a general downward trend, with the rate decreasing to 2.3 per 1,000 in 2020, the lowest point recorded. In 2021 and 2022, the rate slightly fluctuates, rising to 2.5 and then decreasing to 2.4 per 1,000 respectively. The data highlights a consistent decline in the divorce rate over the 22-year period.
In 2022, the divorce rate in the United States stood at *** per 1,000 of the population. Divorce in the U.S. Divorce is the termination of a marital union. In the United States, as in most other countries, it is a legal process in which a judge or another legal authority dissolves the bonds of matrimony existing between two persons. The process of divorce also normally involves issues surrounding distribution of property, financial support of the former spouse, child custody and child support. A divorce also allows a person to marry again.In the United States, divorce is, like marriage, a matter for state governments, not the federal government. Although divorce laws vary from state to state, for example on which terms a divorce can be arranged, a divorce must be certified by a court of law to become effective. A declining divorce rate Over the last couple of years, both the marriage rate and the divorce rate have been declining in the United States. As of 2009, the average length of a first marriage in the U.S. was ***** years, while the average length of a second marriage was about ** years.
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The graph illustrates the percentage of marriages that ended in divorce in the United States from the year 2000 ('00) to 2022 ('22). The x-axis represents the years, labeled with two-digit abbreviations from '00 to '22, while the y-axis displays the divorce rates as percentages. Throughout this period, divorce rates varied between a high of 41.7% in 2002 and a low of 32.62% in 2022. The data shows a notable decline in divorce rates over the two decades, with some fluctuations occurring in the early and mid-2000s. Overall, the trend indicates a steady decrease in the proportion of marriages ending in divorce in the United States from 2000 to 2022.
Despite public opinion that divorce is becoming more frequent in the United States, the divorce rate actually seems to be declining, with Nevada being the top state for divorce in 2022, with a rate of *** divorces per 1,000 of the population, followed by Oklahoma, Arkansas, Idaho, and Wyoming. Marriage and divorce in Nevada Nevada has one of the highest marriage rates in the country, and Las Vegas is a popular wedding destination. Nevada is one of the few states in the U.S. that allows couples to get a marriage license and get married immediately afterwards. In addition, Nevada is a no-fault divorce state, which means that couples do not need to address the reason behind the divorce. Divorced couples in the U.S. In recent years, the number of divorced individuals over age 50 in the U.S. seems to have surpassed the number of those who were under the age of 30, but whether the younger generation remains married longer than generations past is yet to be seen. Additionally, far more children of divorced parents lived with a female single parent, rather than a male single parent.
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This file contains demographic data for divorces occurring in the United States during the 1986 calendar year. The data were taken from divorce certificates registered with the vital statistics offices of 47 states, the District of Columbia, Puerto Rico, and the Virgin Islands. The certificates for each state were chosen at one of five sampling rates (5, 10, 20, 50, or 100 percent), depending on the total number of divorces occurring in the state during the year. Each record includes a weight factor based on the sampling fraction of the reporting state. The demographic data collected include age, race, education, and natality of divorcing parties, and the number of this divorce. Information about the divorce itself includes month, day, and week of the divorce.
The National Vital Statistics System (NVSS) data for the United States are provided through contracts between National Center for Health Statistics and vital registration systems operated in the various jurisdictions legally responsible for the registration of vital events (births, deaths, marriages, divorces, and fetal deaths).
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2015-2019 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..The 2015-2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.
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Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2017 American Community Survey (ACS) data generally reflect the July 2015 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas, in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2017 American Community Survey 1-Year Estimates
Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.
The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.
NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.
Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.
NOTE: The data includes only divorces from civil marriages and those granted in 2010 at only 12 of the 62 divorce courts mandated to deal with divorce cases in South Africa.
The data has national coverage.
Individuals
The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2010 in South Africa.
Administrative records
Other
Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.
The divorces data file only provides data on divorces from civil marriages. It is limited in its usability by this and by the fact that the data is on divorces that were granted in 2010 by the Department of Justice and Constitutional Development at only 12 of the 62 divorce courts mandated to deal with divorce cases in South Africa. The lack of geographical data in the dataset further compromises its usability.
In 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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The National Vital Statistics System provides access to public use data files, publishes reports and offers users interactive tools. Background National Vital Statistics System is housed under the National Center for Health Statistics portion of the Centers for Disease Control and Prevention. It is a joint effort between various governmental agencies to gather and manage data related to vital events in the United States. Vital events include: birth, death, marriage, divorce, and fetal deaths. The National Vital Statistics System is composed of two main areas: Vital Statistics Online and VitalStats. Use r Functionality The following public use data files are available for download from Vital Statistics Online: birth; period linked birth- infant death; birth cohort linked birth-infant death; mortality multiple cause; fetal death. From VitalStats, users can download reports and data tables on births and perinatal mortality. VitalStats will soon offer death data as well. Users with log-in capabilities can create and customize their own tables. Users can view VitalStats birth data by topic and/or geography. Topics include: gestation and birth weight; method of delivery; characteristics of mother; risk factors; prenatal care; trends in birth rates and fertility rates. Population tables are also available. The VitalStats Perinatal Mortality tables include linked birth- infant death tables and fetal and perinatal mortality tables. Infant mortality tables are available by: age at death; sex; plurality; birth weight; gestation; age of mother; live-birth order; marital status; mother's place of birth; mother's state of residence. In VitalStats, much of the data can by viewed by age, race/ethnicity, sex/ gender, and it is available at the national, state and county levels. Data Notes In addition to the state reporting agencies, data sources include the U.S. Census Bureau and Social Security Administration. Data are collected and released annually. The most recent data is from 2009.
Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.
The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.
NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.
Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.
NOTE: The data includes divorce applications that were concluded in 2013, that is, that were finalised and issued with decrees of divorce in 2013 by DJCD.
The data has national coverage.
Individuals
The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2013 in South Africa.
Administrative records
Other
Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
These surveys were based on personal interviews conducted in the homes of a national sample of women 15-44 years of age in the civilian, non-institutionalized population of the United States. The main purpose of the survey was to provide reliable national data on marriage, divorce, contraception, infertility, and the health of women and infants in the United States. The survey contains key religion variables that may relate to these goals.
The pregnancy file uses each pregnancy mentioned by a respondent as the unit of analysis and contains detailed pregnancy histories and wantedness of pregnancies, as well as selected respondent characteristics. The recodes were created to simpify analyses, and are provided for key variables in virtually every topic.
Using the common identification number (CASEID), and the pregnancy number (PREGORDR), the interval and respondent files can be merged to produce a file containing both respondent information and pregnancy information. The resulting file can be either respondent-based (up to 10,847 records) or interval-based (up to 21,332 records).
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2022 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..The 2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.
The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.
NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.
Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.
NOTE: The data includes divorce applications that were concluded in 2014, that is, that were finalised and issued with decrees of divorce in 2014 by DJCD.
The data has national coverage.
Individuals
The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2014 in South Africa.
Administrative records
Other
Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical Documentation.. section......Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the .Methodology.. section..Source: U.S. Census Bureau, 2014-2018 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see .ACS Technical Documentation..). The effect of nonsampling error is not represented in these tables..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..While the 2014-2018 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:..An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself..An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution..An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution..An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An "(X)" means that the estimate is not applicable or not available....
Marriages data Statistics South Africa (Stats SA) publishes marriage data on citizens and permanent residents that are collected through the national civil registration systems. The data in this dataset is based only on registered marriages and divorces that are stipulated and governed by the country’s legal frameworks. The management of registered marriages is the responsibility of the Department of Home Affairs (DHA). Two main legislations cover the registration of civil marriages and customary marriages. Civil marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) that came into effect on 15 November 2000. An additional legislation is the registration of civil unions - relationships between same-sex couples that are legally recognized by a state authority. These unions are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) that came into operation on 30 November 2006. After the solemnisation ceremony of a marriage or a civil union, the marriage officer submits the marriage /civil union register to the nearest office of the DHA, where the marriage / civil union details are recorded in the National Population Register (NPR). With respect to customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Hence the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office. Statistics South Africa obtains data on marriages and civil unions in digital format from DHA through the State Information Technology Agency (SITA) and the Marriages and Divorces 2010 dataset is compiled from this data.
Divorces data The dissolution of registered marriages and civil unions falls under the jurisdiction of the Department of Justice and Constitutional Development (DoJ&CD). This responsibility of the department is mandated through the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 31 of 2008) as amended which came into effect on 9 August 2010.
The divorces data file only provides 2010 data on divorces from civil marriages. It is limited in its usability by this and by the fact that the data is on divorces that were granted in 2010 by the Department of Justice and Constitutional Development at 12 of the 62 divorce courts mandated to deal with divorce cases in South Africa. The lack of geographical data in the dataset also compromises its usability.
The Marriages and Divorces 2010 has national coverage.
The units of anaylsis for the Marriages and Divorces 2010 are individuals.
Administrative records data [adm]
Other [oth]
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The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2022. The x-axis represents the years, labeled from '00 to '22, while the y-axis indicates the divorce rate per 1,000 individuals. The divorce rate starts at 4.0 per 1,000 in 2000 and 2001, which are the highest values in the dataset. Over the years, there is a general downward trend, with the rate decreasing to 2.3 per 1,000 in 2020, the lowest point recorded. In 2021 and 2022, the rate slightly fluctuates, rising to 2.5 and then decreasing to 2.4 per 1,000 respectively. The data highlights a consistent decline in the divorce rate over the 22-year period.