In 2021, there were 1.4 divorces per 1,000 inhabitants in Texas. This figure is a decrease from 1990, when the divorce rate stood at 5.5 divorces for every 1,000 inhabitants in the state, and is the lowest divorce rate in the state since 1990.

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.

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.

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.

In 2021, there were 1.6 divorces per 1,000 inhabitants in Maryland. This figure was a decrease from 1990, when the divorce rate stood at 3.4 divorces for every 1,000 inhabitants in the state, and was the lowest divorce rate since 1990.

State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: West Bank data was reported at 1.900 NA in 2017. This records an increase from the previous number of 1.800 NA for 2016. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: West Bank data is updated yearly, averaging 1.300 NA from Dec 1997 (Median) to 2017, with 16 observations. The data reached an all-time high of 1.900 NA in 2017 and a record low of 0.800 NA in 2002. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: West Bank data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population data was reported at 1.800 NA in 2017. This stayed constant from the previous number of 1.800 NA for 2016. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population data is updated yearly, averaging 1.500 NA from Dec 1997 (Median) to 2017, with 16 observations. The data reached an all-time high of 1.800 NA in 2017 and a record low of 0.900 NA in 2002. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

In 2022, there were *** divorces per 1,000 inhabitants in Illinois. This figure was a decrease from 1990, when the divorce rate was *** divorces for every 1,000 inhabitants in the state.

State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: Gaza Strip data was reported at 1.700 NA in 2017. This records a decrease from the previous number of 1.800 NA for 2016. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: Gaza Strip data is updated yearly, averaging 1.650 NA from Dec 1997 (Median) to 2017, with 16 observations. The data reached an all-time high of 1.900 NA in 2010 and a record low of 1.000 NA in 2002. State of Palestine (West Bank and Gaza) Crude Divorce Rate: per 1000 Population: Gaza Strip data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

In 2021, the crude divorce rate in Queensland, Australia was 2.6 per 1,000 resident population. In contrast, the divorce rate in the Northern Territory was 1.8 per 1,000 resident population.

In 2022, the marriage rate in the United States stood at *** per 1,000 people of the population. This is a decrease from 1990 levels, when the marriage rate was *** marriages per 1,000 people. Marriage Marriage is a union that can legally, culturally, and financially bind two people. Marriage occurs between all genders, races, and cultures, and is often drastically different all around the world, due to the diversity of cultures and religions. Marriage can be recognized by a state, religious authority, or an organization. Typically viewed as a contract, it brings people together through a multitude of avenues. A part of marriage is the wedding, for which couples can decide to partake in or not. Weddings are also incredibly diverse and vary in time, money, and customs. Marriage in the United States Marriage in the United States is viewed differently across all 50 states. The number of married couples in the United States has been steadily increasing since 1960. On the other hand, the divorce rate in the United States has decreased since 1990. Nevada was the state in 2021 that had the highest marriage rate in the United States, due to easy accessibility to get married there. In 2021, Nevada was also the state with the highest divorce rate in the country.

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, 2017-2021 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 2017-2021 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 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. 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.

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 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.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and 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 population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2012 American Community Survey (ACS) data generally reflect the December 2009 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..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, 2012 American Community Survey

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, 2018 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..While the 2018 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..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, 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.

According to this statistic, December is the most popular month for an engagement with a proposal rate of ** percent. With just under ** percent, the summer months are also a quite popular choice for this event. The most popular season for weddings is summer, followed closely by fall.

Less say “yes”

The United States’ marriage rate has been declining for decades now; fewer unwed Americans want to get married nowadays, and many seem uncertain. Regarding faits accomplis, the camps are evenly split: Half of Americans are married while the other half are not. However, less commitment means less legal separation, as a decline in marriage rates also means a declining divorce rate.

An expensive engagement

Despite lower marriage rates, the wedding industry in the United States is still booming. Caterers, jewelers, event planners, and venues all profit immensely from weddings. The average amount spent on engagement rings alone is at approximately ***** U.S. dollars now, and average costs for a wedding are estimated to amount to over ****** U.S. dollars – this includes everything from the cake to the band to the ceremony. Expenses for the honeymoon not included.

This statistic depicts global views on premarital sex in 2013. In Indonesia, 97 percent of residents believe that premarital sex among adults is morally unacceptable. Sex before marriage Nine out of ten people in Indonesia, Jordan, Pakistan, and Turkey believed that engaging in sex before marriage was not acceptable. The majority of the Europeans found premarital sex to be morally acceptable or not a moral issue at all. Indonesia has the largest Muslim population in the world totaling over 209 million people. In some religions, like Catholicism and Islam, having sex before marriage is considered morally unacceptable. Other predominantly religious countries such as Jordan and Pakistan also have similar rates of this belief.In the United States, 29 percent of people consider the act of having sex before marriage as morally wrong while 20 percent believe that getting a divorce is also morally unacceptable . Abstinence-only sex education is not uncommon in the United States where states can apply for federal funding for these programs. Abstinence-only programs try to prevent teens or all unmarried individuals from having any sexual activity. Critics state that these programs often include negative messages about sexuality, gender roles, and may also try to minimize the effectiveness of birth control. Some 13 percent of teenage students desire more information about contraceptive use . Education about contraception and safe sex can help prevent unwanted pregnancies and sexually transmitted infections.

In 2022, there were about 4.15 million Black families in the United States with a single mother. This is an increase from 1990 levels, when there were about 3.4 million Black families with a single mother.

Single parenthood

The typical family is comprised of two parents and at least one child. However, that is not the case in every single situation. A single parent is someone who has a child but no spouse or partner. Single parenthood occurs for different reasons, including divorce, death, abandonment, or single-person adoption. Historically, single parenthood was common due to mortality rates due to war, diseases, and maternal mortality. However, divorce was not as common back then, depending on the culture.

Single parent wellbeing

In countries where social welfare programs are not strong, single parents tend to suffer more financially, emotionally, and mentally. In the United States, most single parents are mothers. The struggles that single parents face are greater than those in two parent households. The number of families with a single mother in the United States has increased since 1990, but the poverty rate of black families with a single mother has significantly decreased since that same year. In comparison, the poverty rate of Asian families with a single mother, and the percentage of white, non-Hispanic families with a single mother who live below the poverty level in the United States have both been fluctuating since 2002.