This statistic shows the change in the United States' Korean population from 1980 to 2010. In 1980, there were 363,000 Korean-Americans (Korean immigrants and people with Korean heritage) living in the United States.

In 2024, about 170,251 U.S. citizens resided in South Korea, up from about 161,895 in the previous year. The number of U.S. citizens residing in South Korea has increased over the last few years.

In 1800, it is estimated that approximately 9.4 million people lived in the region of modern-day South Korea (and 13.8 million on the entire peninsula). The population of this region would remain fairly constant through much of the 19th century, but would begin to grow gradually starting in the mid-1800s, as the fall of the Joseon dynasty and pressure from the U.S. and Japan would end centuries of Korean isolationism. Following the opening of the country to foreign trade, the Korean peninsula would begin to modernize, and by the start of the 20th century, it would have a population of just over ten million. The Korean peninsula was then annexed by Japan in 1910, whose regime implemented industrialization and modernization policies that saw the population of South Korea rising from just under ten million in 1900, to over fifteen million by the start of the Second World War in 1939.

The Korean War Like most regions, the end of the Second World War coincided with a baby boom, that helped see South Korea's population grow by almost two million between 1945 and 1950. However, this boom would stop suddenly in the early 1950s, due to disruption caused by the Korean War. After WWII, the peninsula was split along the 38th parallel, with governments on both sides claiming to be the legitimate rulers of all Korea. Five years of tensions then culminated in North Korea's invasion of the South in June 1950, in the first major conflict of the Cold War. In September, the UN-backed South then repelled the Soviet- and Chinese-backed Northern army, and the frontlines would then fluctuate on either side of the 38th parallel throughout the next three years. The war came to an end in July, 1953, and had an estimated death toll of three million fatalities. The majority of fatalities were civilians on both sides, although the North suffered a disproportionate amount due to extensive bombing campaigns of the U.S. Unlike North Korea, the South's total population did not fall during the war.

Post-war South Korea Between the war's end and the late 1980s, the South's total population more than doubled. In these decades, South Korea was generally viewed as a nominal democracy under authoritarian and military leadership; it was not until 1988 when South Korea transitioned into a stable democracy, and grew its international presence. Much of South Korea's rapid socio-economic growth in the late 20th century was based on the West German model, and was greatly assisted by Japanese and U.S. investment. Today, South Korea is considered one of the world's wealthiest and most developed nations, ranking highly in terms of GDP, human development and life expectancy; it is home to some of the most valuable brands in the world, such as Samsung and Hyundai; and has a growing international cultural presence in music and cinema. In the past decades, South Korea's population growth has somewhat slowed, however it remains one of the most densely populated countries in the world, with total population of more than 51 million people.

Key information about South Korea Monthly Earnings

• South Korea Monthly Earnings stood at 3,200 USD in Dec 2024, compared with the previous figure of 2,724 USD in Nov 2024
• South Korea Monthly Earnings data is updated monthly, available from Jan 2008 to Dec 2024, with an average number of 2,747 USD
• The data reached the an all-time high of 3,948 USD in Jan 2022 and a record low of 1,673 USD in Nov 2008

CEIC converts Monthly Earnings into USD. The Ministry of Labour provides Average Monthly Earnings in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings exclude Agriculture, Fisheries and Forestry sectors. Monthly Earnings prior to January 2020 cover businesses with 1 or more employees and are based on the 9th Korean Standard Industry Clasification (KSIC). Monthly Earnings prior to January 2011 cover businesses with 5 or more employees and are based on the 9th Korean Standard Industry Clasification (KSIC).


Further information about South Korea Monthly Earnings

• In the latest reports, South Korea Population reached 52 million people in Dec 2024
• Unemployment Rate of South Korea dropped to 3 % in Jan 2025
• The country's Labour Force Participation Rate dropped to 63 % in Jan 2025

Graph and download economic data for Population Level - Veterans, Vietnam-Era and Earlier Wartime Periods, 18 Years and over (LNU00077884) from Sep 2008 to Jun 2025 about korean war, Vietnam Era, World War, 18 years +, veterans, civilian, population, and USA.

In 2023, the total number of people who emigrated from South Korea amounted to around *************. More than *** million lived in the United States, followed by China with around *** million.

United States - Population Level - Men, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over was 4723.00000 Thous. of Persons in May of 2025, according to the United States Federal Reserve. Historically, United States - Population Level - Men, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over reached a record high of 11434.00000 in September of 2008 and a record low of 4723.00000 in May of 2025. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Level - Men, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Unemployment Rate - Veterans, Vietnam-Era and Earlier Wartime Periods, 18 Years and over (LNU04077884) from Sep 2008 to Jun 2025 about korean war, Vietnam Era, World War, 18 years +, veterans, household survey, unemployment, rate, and USA.

United States - Employment-Population Ratio - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over was 12.60% in May of 2025, according to the United States Federal Reserve. Historically, United States - Employment-Population Ratio - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over reached a record high of 37.00 in February of 2012 and a record low of 2.10 in February of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employment-Population Ratio - Women, Veterans, World War II or Korean War or Vietnam Era, 18 Years and over - last updated from the United States Federal Reserve on July of 2025.

Korea Fertility Rate: Total: Births per Woman data was reported at 1.172 Ratio in 2016. This records a decrease from the previous number of 1.239 Ratio for 2015. Korea Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.656 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 6.095 Ratio in 1960 and a record low of 1.076 Ratio in 2005. Korea Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Korea – Table KR.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

In 2022, the total health expenditure in South Korea accounted for approximately 9.7 percent of South Korea's Gross Domestic Product (GDP). This was a slight increase from the previous year's share, making it the highest share in the past decade. Overall, this share indicates that as the GDP grew, health spending grew at an even faster rate. Korea's GDP per capita was estimated to have dropped to around 32.3 thousand U.S. dollars in 2022, an increase from around 19 thousand dollars in 2009. Meanwhile, overall medical expenditure in 2021 increased by around 7.5 percent compared to the previous year, up to around 93.5 trillion South Korean won. Nearly 60 percent of the costs were covered by the government or the public health insurance system.

Higher health spending is still insufficient

Even though the country has been an OECD member since 1996, health spending as a share of the GDP stayed below the OECD average of 8.8 percent until 2021. Similarly, the government’s health expenses lay at around 60 percent, showing a slight increase from the previous year, but this was still lower than the OECD average of almost 74 percent. The increased expenditure was largely attributed to the introduction of what is dubbed “Moon Jae-In Care”, named after the former Korean president, much like the American Affordable Care Act is colloquially known as “Obamacare”. In short, the government will provide greatly expanded coverage for medical treatments and care, increasing the reimbursement rate of the public health insurance, along with other measures. In addition, the Korean population as a whole is rapidly aging, and more people than before are being hospitalized and receiving examinations. Koreans already see doctors far more frequently than any other OECD nationals.

Strains on health spending and insurance

The Korean national public health insurance system enjoyed seven years of surplus revenue since 2011 but fell into the red in 2018. As noted above, Moon Jae-In Care and the aging population are largely responsible. The years’ worth of revenue is projected to run out in the coming years. Foreigners who come to Korea as medical tourists make things worse, with an all-time high of over 497 thousand medical tourists visiting Korea in 2019, though this has dropped off since the coronavirus (COVID-19) pandemic began.

This statistic shows the share of U.S. Americans who would support sending U.S. troops to South Korea to defend the country if North Korea invaded from 1990 to 2017. In 2017, 62 percent of Americans would support the United States sending troops to South Korea's aid if such an invasion took place.

The Gross Domestic Product per capita in South Korea was last recorded at 34121.02 US dollars in 2023. The GDP per Capita in South Korea is equivalent to 270 percent of the world's average. This dataset provides - South Korea GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 1800, it is estimated that approximately 4.35 million people lived in the region of present-day North Korea. This figure would remain stagnant through much of the 19th century, increasing by just one million people over the next 110 years. The dissolution of the Joseon dynasty in the Korean peninsula in the late-1800s marked the end of centuries of Korean isolationism, and the new Korean Empire then opened itself to foreign trade and influence. By the start of the 20th century, the region of North Korea had a population of just over five million. This growth would increase dramatically following the annexation of the Korean peninsula by Japan in 1910, as extensive industrialization and modernization efforts would result in the population of North Korea doubling from just over five million at the turn of the century, to over ten and a half million by the start of the Korean War in 1950. The Korean War Following Japan's defeat in the Second World War, the Korean Peninsula was split along the 38th parallel, with a Soviet-backed totalitarian government established in the north, and a U.S.-backed authoritarian government in the south. Neither government recognized the legitimacy of the other, and an escalation of tensions saw the North invade the South in June 1950. By 1953, the North's population dropped below ten million. It is estimated that there were approximately three million total fatalities in the war, with North Korea having the largest share of fatalities of all forces involved; however, the North's isolationist and secretive policies have made it difficult to calculate the full impact of the war on the North's population. Most modern estimates suggest that more than 1.5 million North Koreans died or went missing over these three years. Following the establishment of an armistice between North and South Korea in 1953, the population of the newly-formed Democratic People's Republic of North Korea would begin to rise sharply, from 10 million at the time of armistice to almost 15 million in 1970, just twenty years later. North Korea today North Korea's population has increased in each year since the war's end, however, the rate of growth decreased in the late 1970s, as a severe economic crisis and a resulting lack of foreign technology would lead to a scaling back of many of social welfare programs for the country’s citizens. Growth would slow even further following the dissolution of the Soviet Union in 1991, as the loss of Soviet foreign aid would send the North Korean economy into a sharp decline. In the 1990s, a series of flooding, droughts, famine and economic mismanagement led to the deaths of between 500,000 to 600,000* North Koreans. Recent years have seen an improvement in political relations between both the North and South, and even sporadic improvements with the U.S., which could lead to a less-isolated North Korea in the future; however, the continued testing of nuclear weapons and allegations of widespread human rights violations have drawn widespread criticism from the international community. In 2020, it is estimated that approximately 25.8 million people reside in North Korea.

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, 2019-2023 American Community Survey 5-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..The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. For example, a respondent reporting "Korean, Filipino, and Black or African American" would be included in the Korean as well as the Filipino numbers. "Specified" includes the remaining Other Asian write-in responses that were not tallied into separate groups in the table. "Not specified" includes respondents who checked the Other Asian response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian" or "Asiatic.".The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..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 sa...

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..The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. For example, a respondent reporting "Korean, Filipino, and Black or African American" would be included in the Korean as well as the Filipino numbers. "Specified" includes the remaining Other Asian write-in responses that were not tallied into separate groups in the table. "Not specified" includes respondents who checked the Other Asian response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian" or "Asiatic.".The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..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..The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. For example, a respondent reporting "Korean, Filipino, and Black or African American" would be included in the Korean as well as the Filipino numbers. "Specified" includes the remaining Other Asian write-in responses that were not tallied into separate groups in the table. "Not specified" includes respondents who checked the Other Asian response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian" or "Asiatic.".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.

US Language Learner Market size was estimated at USD 74.06 Billion in 2024 and is projected to reach USD 234.55 Billion by 2031, growing at a CAGR of 15.50% from 2024 to 2031.

Key Market Drivers • Increase in Globalized Communication: Heightened demand for multilingual communication skills is observed due to the growing interconnectedness of the world, fostered by international trade and travel. This demand is particularly true in the US, where businesses are increasingly operated on a global scale. As a result, the need to learn new languages to effectively collaborate with international partners is driven by globalization. • Evolving Educational Landscape: A shift towards incorporating language learning at a younger age is being observed in the educational system in the US. This shift is driven by a recognition of the cognitive benefits of multilingualism and the growing importance of foreign languages in the job market. As a result, language learning at a foundational level is exposed to a larger segment of the US population, creating a more fertile ground for continued language acquisition later in life. • Technological Advancements in Learning Methods: The rise of mobile technology and online learning platforms has significantly impacted the US language learner market. Language learning has been made more accessible and convenient than ever before by these advancements. A vast array of interactive and personalized language courses can now be accessed by learners on their own time and schedule. This surge in language learning participation within the US is fueled by this ease of access. • Growing Hispanic Population: A significant and rapidly growing Hispanic population is observed in the US. This demographic shift has led to a heightened demand for Spanish language learning within the country. Spanish language skills are increasingly seen as valuable not only for personal communication but also for professional opportunities in a diverse workforce. The growth of the Spanish language learning segment within the US market is propelled by this demand.

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..The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. For example, a respondent reporting "Korean, Filipino, and Black or African American" would be included in the Korean as well as the Filipino numbers. "Specified" includes the remaining Other Asian write-in responses that were not tallied into separate groups in the table. "Not specified" includes respondents who checked the Other Asian response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian" or "Asiatic.".The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..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.

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, 2018-2022 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..The numbers by detailed Asian groups do not add to the total population. This is because the detailed Asian groups are tallies of the number of Asian responses rather than the number of Asian respondents. Responses that include more than one race and/or Asian group are counted several times. For example, a respondent reporting "Korean, Filipino, and Black or African American" would be included in the Korean as well as the Filipino numbers. "Specified" includes the remaining Other Asian write-in responses that were not tallied into separate groups in the table. "Not specified" includes respondents who checked the Other Asian response category on the ACS questionnaire and did not write in a specific group or wrote in a generic term such as "Asian" or "Asiatic.".The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2018-2022 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 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 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.