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.

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.

This paper estimates the effects of unilateral divorce laws on divorce rates in the USA from a panel of state-level divorce rates. We use the interactive fixed-effects model to address the issue of endogeneity due to the association between cross-state unobserved heterogeneity and divorce law reforms. We document that earlier studies in the literature do not fully control for unobserved heterogeneity and result in mixed empirical evidence on the effects of divorce law reforms. While reconciling these conflicting results, our results suggest that divorce law reforms have temporal positive effects on divorce rates, thus confirming the 2006 findings of Wolfers. Via simulation experiments, we assess the degree to which faulty inclusion or faulty exclusion of interactive fixed effects affects the policy effect estimators. Our results suggest that faulty inclusion only results in efficiency loss whereas faulty exclusion causes bias.

This file contains demographic data for divorces occurring in the United States during the 1987 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 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).

According to the 2020 UNIDOMO questionnaire, Portugal clearly led the list of European countries with the highest divorce rate per 100 marriages. With 91.5 divorces the Portuguese Republic led the list, followed by Spain and Luxembourg. All three countries boast a significantly higher share than the other European countries, each reporting a divorce rate over 80 divorces.

A different way to look at Portugal

While Portugal clearly has the most divorces per 100 marriages, looking at divorce rates per 1.000 inhabitants in other European countries alters the picture of the country as one unsettled by significant numbers of divorces. With nearly 1.7 divorces per 1,000 inhabitants Portugal has roughly the same divorce rate as Germany and the Netherlands. Interesting is furthermore that although marriages in Portugal tend to result in divorce lightly more often as in Luxembourg (80.3%), the Grand Duchy of Luxembourg experienced a 0.6 point higher divorce rate.

What about the rest of the World?

While compared with Latin American countries like Guatemala or Peru, ranked among the countries with the lowest divorce rates in the world, Luxembourg’s divorce rate seems excessive. However, when compared with divorce rates (per 1.000 inhabitants) of countries like the United States (2.7) or China (3.5) divorce rates from Luxembourg and Europe are not out of the ordinary.

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.

Graph and download economic data for Total Separations: Total Nonfarm (JTSTSR) from Dec 2000 to May 2025 about separations, nonfarm, and USA.

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..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..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.

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.

Family Law Software Market Outlook

The global family law software market size reached an estimated value of USD 535.2 million in 2023 and is expected to grow significantly to USD 1.08 billion by 2032, reflecting a robust CAGR of 8.1% from 2024 to 2032. This growth is driven primarily by the increasing complexity of family law cases and the rising demand for efficient and accurate legal solutions.

Several factors contribute to the rapid growth of the family law software market. The legal industry is experiencing a digital transformation, with law firms and legal practitioners increasingly relying on technology to manage cases, streamline workflows, and improve efficiency. Family law is no exception, with specialized software being developed to handle intricate case details, automate document creation, and ensure compliance with legal standards. Moreover, the growing volume of family law cases, driven by rising divorce rates and complex family structures, necessitates the use of sophisticated software tools to manage and navigate these cases effectively.

Another significant growth factor is the increasing awareness and adoption of cloud-based solutions. Cloud-based family law software offers several advantages, including remote access, real-time collaboration, and reduced IT infrastructure costs. Law firms and individual practitioners are increasingly opting for cloud solutions to enhance flexibility and accessibility, enabling them to work from anywhere and collaborate seamlessly with clients and colleagues. This trend is further accelerated by the COVID-19 pandemic, which has highlighted the importance of remote work and digital solutions in maintaining business continuity.

Furthermore, the integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into family law software is expected to drive market growth. These technologies enable predictive analytics, automated legal research, and intelligent document management, helping legal professionals make data-driven decisions and improve case outcomes. The ability to leverage AI and ML for tasks such as case analysis, risk assessment, and client communication is transforming the way family law practitioners operate, leading to increased adoption of these advanced software solutions.

In the context of rising divorce rates and complex family dynamics, Divorce Counseling Service has become an essential component for many individuals navigating the legal and emotional aspects of separation. Divorce counseling provides crucial support to clients, helping them manage the stress and emotional turmoil that often accompany divorce proceedings. By offering guidance and coping strategies, these services complement the legal process, ensuring that clients are better prepared to handle the challenges of divorce. As family law practitioners increasingly recognize the importance of holistic support, integrating divorce counseling services into their practice can enhance client satisfaction and improve overall case outcomes.

Regionally, North America holds the largest market share in the family law software market, driven by the presence of major legal technology providers and the high adoption rate of advanced legal solutions. Europe follows closely, with a growing number of legal firms and practitioners investing in digital transformation. The Asia Pacific region is expected to witness significant growth during the forecast period, fueled by increasing awareness of legal technology and the expansion of the legal industry in emerging economies. Latin America and the Middle East & Africa are also anticipated to experience steady growth, supported by ongoing legal reforms and the modernization of legal systems.

Component Analysis

The family law software market can be segmented based on components into software and services. The software segment is further divided into standalone software and integrated software suites. The demand for standalone software solutions is driven by small and medium-sized law firms that require specific functionalities without the need for comprehensive suites. These solutions offer targeted features such as case management, document automation, and client communication, enabling legal professionals to handle family law cases efficiently.

On the other hand, integrated software suites are gaining traction among larger law firms and government agencies that require comprehensive solutions to man

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.

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....

This collection contains time series data, spanning 35 years, on general social indicators. The file includes data on vital statistics, population, the labor force, health, education, and leisure activities. Variables on vital statistics cover birth and death rates and life expectancy. Variables on population cover marriage, divorce, and age by sex. Labor force data contain information on employment and unemployment, percentages of the population employed in certain occupations, labor turnover, and family income. Health-related data include hospital and doctor visits, prescription costs, and nursing home expenses. Education data cover degrees conferred, educational attainment rates, and number of children enrolled in kindergarten and primary and secondary schools. Data on leisure activities cover sporting event attendance, automobile ownership, and utility consumption. Most of the data are reported on an annual basis extending from 1946 through 1980. Some data, such as the education data, are based on a less frequent observation cycle, and other data, such as health data, do not extend back to 1946. The study consists of a documentation file and a data file. The documentation contains a list of the variables, an alphabetized listing of the variables, and SPSS descriptives. The data file contains both the SPSS control cards and the data.

In 2022, there were around **** million marriages in the United States. This is an increase from the previous year, when about **** million marriages were registered in the country. The divorce rate in the United States can be accessed here.

The social and demographic data included in this collection consist of a single data file for each decennial year between 1870 and 2000, covering 10 of the 12 Great Plains states. Information on a variety of social and demographic topics was gathered to historically characterize populations living in counties within the United States Great Plains, in terms of: (1) urban, rural, and total population, (2) vital statistics, (3) net migration, (4) age and sex, (5) nativity and ancestry, (6) education and literacy, (7) religion, (8) industry, and (9) housing and other characteristics. These data include selected material compiled as part of the United States population census. The United States Census of Population and Housing has been conducted since 1790 on a regular schedule that is decennial. The county-level social and demographic data produced by the United States government as a result constitute a consistent series of measures capturing changes in the United States population's size, composition, and other characteristics. A subset of the variables available from the short and long-form survey questionnaires of the United States Census of Population and Housing (as compiled for counties) were extracted from previously existing digital files. Besides the decennial census of the population, county-level data were drawn from an assortment of existing digital files as well as sources that were manually digitized. Other data include compilations of county-level information gathered from various federal agencies and private organizations as well as the agriculture and economic censuses. Supplementing these compilations are manually digitized consumer market data, religious data, and vital statistics, including information about births, deaths, marriage, and divorce.

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.

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.