79 datasets found
  1. Countries with the largest urban population in 2018

    • tokrwards.com
    • statista.com
    • +1more
    Updated Oct 2, 2025
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    Statista Research Department (2025). Countries with the largest urban population in 2018 [Dataset]. https://tokrwards.com/?_=%2Fstudy%2F57665%2Fmegacities-worldwide%2F%23D%2FIbH0Phabzf84KQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Oct 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This statistic shows the twenty countries with the largest urban populations worldwide in 2018. In 2018, the urban population of China was around 837 million people.

  2. Countries with the largest rural population in 2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Countries with the largest rural population in 2018 [Dataset]. https://www.statista.com/statistics/875087/top-ten-countries-with-biggest-rural-population/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    World
    Description

    This statistic shows the twenty countries with the largest rural populations worldwide in 2018. In 2018, the rural population of India was around ***** million people.

  3. Future of Business Survey 2018 - Argentina, Australia, Belgium...and 27 more...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Oct 26, 2023
    + more versions
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    Facebook (2023). Future of Business Survey 2018 - Argentina, Australia, Belgium...and 27 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/4213
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    Dataset updated
    Oct 26, 2023
    Dataset provided by
    Organisation for Economic Co-operation and Developmenthttp://oecd.org/
    World Bank Grouphttp://www.worldbank.org/
    Facebook
    Time period covered
    2018
    Area covered
    Argentina, Belgium, Australia
    Description

    Abstract

    The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

    Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

    To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

    With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

    Geographic coverage

    Argentina Australia Belgium Brazil Canada Colombia Egypt France Germany Ghana India Indonesia Ireland Israel Italy Kenya Mexico Nigeria Pakistan Philippines (the) Poland Portugal Russian Federation (the) South Africa Spain Taiwan Turkey United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Viet Nam

    Analysis unit

    The study describes small and medium-sized enterprises.

    Universe

    The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

    A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

    Mode of data collection

    Internet [int]

    Research instrument

    The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

    Response rate

    Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

    Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

    Sampling error estimates

    Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

    Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

    Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

    Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

  4. Most popular destination countries among outbound tourists from China 2018

    • tokrwards.com
    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Most popular destination countries among outbound tourists from China 2018 [Dataset]. https://tokrwards.com/?_=%2Fstatistics%2F978124%2Fchina-leading-destination-countries-based-on-tourism-popularity-index%2F%23D%2FIbH0Phabze5YKQxRXLgxTyDkFTtCs%3D
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    China
    Description

    This statistic shows the leading destination countries of outbound tourists from China in 2018, based on tourism popularity index. That year, Thailand was the most popular travel destination country among outbound tourists from China, with a tourism popularity index of ***** points.

  5. Most increasingly popular destination countries among tourists from China...

    • statista.com
    • tokrwards.com
    Updated Jul 10, 2025
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    Statista (2025). Most increasingly popular destination countries among tourists from China 2018 [Dataset]. https://www.statista.com/statistics/978166/china-leading-destination-countries-based-on-tourism-popularity-growth/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    China
    Description

    This statistic shows the leading destination countries of outbound tourists from China in 2018, based on annual growth of tourism popularity index. Among the increasingly popular destination countries for Chinese travelers, Turkey ranked first with an annual tourism popularity index growth of almost *** percent in 2018.

  6. Countries with biggest Facebook user share 2018

    • tokrwards.com
    • statista.com
    Updated Aug 7, 2025
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    Stacy Jo Dixon (2025). Countries with biggest Facebook user share 2018 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F3914%2Fthe-philippines%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The statistic shows a ranking on the leading countries based on their share of Facebook users worldwide as of January 2018. During the measured period, the United States accounted for 11 percent of the global Facebook population. India accounted for 12 percent of total Facebook users worldwide, having finally overtaken the United States in terms of Facebook user figures.

  7. Top 10 countries with projected increase in rural population by 2050

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Top 10 countries with projected increase in rural population by 2050 [Dataset]. https://www.statista.com/statistics/672217/top-ten-countries-with-projected-increase-in-rural-population/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    This statistic shows the ten countries with the largest increase in the size of the rural population between 2018 and 2015. Based on forecasted population figures, the rural population of Ethiopia is projected to be around ** million more in 2050 than it was in 2018.

  8. Total population of the ASEAN countries from 2020 to 2030

    • statista.com
    • tokrwards.com
    • +1more
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    Statista, Total population of the ASEAN countries from 2020 to 2030 [Dataset]. https://www.statista.com/statistics/796222/total-population-of-the-asean-countries/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, the total population of all ASEAN states amounted to an estimated 619.02 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

  9. Internet users in Nigeria 2018-2022, with forecasts up until 2027

    • tokrwards.com
    • statista.com
    Updated Apr 15, 2024
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    Doris Dokua Sasu (2024). Internet users in Nigeria 2018-2022, with forecasts up until 2027 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F2386%2Fnigeria%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Apr 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Doris Dokua Sasu
    Area covered
    Nigeria
    Description

    As of 2022, Nigeria had nearly 84 million internet users. This figure is projected to grow to 117 million internet users in 2027. Moreover, internet penetration amounted to over 38 percent of the population in 2022 and is set to reach 48 percent in 2027.

    Internet usage in Nigeria

    Nigeria is one of the most populous countries worldwide. As of 2023, there were almost 64 million mobile internet users in Nigeria. Mobile phone internet usage is particularly popular. The country is considered a mobile-first market where infrastructure and online usage development skipped wide-ranging desktop PC adoption and went straight to mobile internet usage via inexpensive smartphones. With more than three-quarters of Nigerian web traffic being generated via smartphones, Nigeria ranks eighth on the list of African countries based on the share of traffic via mobile. Other African markets with a similar share of mobile online traffic are Mali, Gambia, and the Central African Repiblic.

    Internet freedom in Nigeria

    According to the Freedom House Index, Nigeria ranks fourth in Africa with Malawi , registering 60 index points in the internet freedom index in 2023. The country has very strong libel laws. Subsequently, Nigerian internet users do not often feel free to express themselves online fully.

  10. N

    Lost Nation, IA Age Cohorts Dataset: Children, Working Adults, and Seniors...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Lost Nation, IA Age Cohorts Dataset: Children, Working Adults, and Seniors in Lost Nation - Population and Percentage Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/c10e7e43-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lost Nation, Iowa
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Lost Nation population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Lost Nation. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 201 (49.39% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Lost Nation population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Lost Nation is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Lost Nation is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Lost Nation Population by Age. You can refer the same here

  11. Future of Business Survey 2016-2018 - Argentina, Australia, Bangladesh...and...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Oct 26, 2023
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    Facebook (2023). Future of Business Survey 2016-2018 - Argentina, Australia, Bangladesh...and 38 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/4211
    Explore at:
    Dataset updated
    Oct 26, 2023
    Dataset provided by
    Organisation for Economic Co-operation and Developmenthttp://oecd.org/
    World Bank Grouphttp://www.worldbank.org/
    Facebook
    Time period covered
    2016 - 2018
    Area covered
    Bangladesh, Argentina, Australia
    Description

    Abstract

    The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

    Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

    To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

    With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

    Geographic coverage

    When the survey was initially launched in February 2016, it included 22 countries. When the survey was initially launched in February 2016, it included 22 countries. The Future of Business Survey is now conducted in over 90 countries in every region of the world.

    Analysis unit

    The study describes small and medium-sized enterprises.

    Universe

    The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

    A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

    Mode of data collection

    Internet [int]

    Research instrument

    The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

    The questionnaire was pretested by the target audience, as well as experts from the area of research interest. Additionally, steps were taken to translate the survey in order to reduce sensitivities to cultural response bias: - Respondents were given the option to respond to the survey in any of fifteen languages native to the countries in which it was conducted. - Translations were done only by native speakers, with two rounds of additional online checks in the context of the survey environment. - Translators were provided with context material for this survey (e.g., the Facebook for Business website) in order to understand the context of the survey. They were also instructed to take the English survey at least two times before starting with the translations. - Translations were discussed in a group in order to ensure a common understanding of questions and items. - The tone (formal vs. informal) of the survey was based on cultural conventions, e.g., Facebook usually uses an informal tone, while in cultures such as the Japanese this is very uncommon and thus a formal tone was used there.

    Response rate

    Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

    Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

    Sampling error estimates

    Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

    Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

    Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

    Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

  12. N

    Lost Nation, IA Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). Lost Nation, IA Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8e128f2b-c989-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lost Nation, Iowa
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Lost Nation by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lost Nation. The dataset can be utilized to understand the population distribution of Lost Nation by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lost Nation. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lost Nation.

    Key observations

    Largest age group (population): Male # 10-14 years (26) | Female # 10-14 years (33). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Lost Nation population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Lost Nation is shown in the following column.
    • Population (Female): The female population in the Lost Nation is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Lost Nation for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Lost Nation Population by Gender. You can refer the same here

  13. Global Miticides Market 2018-2022

    • technavio.com
    pdf
    Updated Jul 18, 2018
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    Technavio (2018). Global Miticides Market 2018-2022 [Dataset]. https://www.technavio.com/report/global-miticides-market-analysis-share-2018
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 18, 2018
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Description

    Snapshot img { margin: 10px !important; } Global Miticides Industry Overview

    The agricultural land is gradually decreasing and being converted to develop infrastructures such as houses, roads, and factories. According to a study, the demand for food is estimated to increase drastically in order to feed the 9.1 billion people by 2050. As per the United Nations, the shortage of cultivable land is mostly witnessed in the developing economies such as India and China, which are the two most populous countries in the world that require increased food production. Thus, the declining total factor productivity (TFP) gives rise to the demand for application of agricultural pesticides such as miticides to limit the productivity loss of crops. Miticides selectively act on only mites and ticks that damage food plants and ornamental plants, thus enhancing the productivity of production. Hence, the decrease in the size of arable land is expected to drive the growth of the global miticides market during the forecast period.

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    See the complete table of contents and list of exhibits, as well as selected illustrations and example pages from this report.

    Top companies listed in this report

    The miticides market is slightly fragmented since the market has a number of companies that offer various products. The market is currently in its growth phase and filled with opportunities. Increasing adoption of modern farming methods and technologies keeps the vendors in the market competitive. This miticides industry analysis report will aid clients in identifying new growth opportunities and designing new growth strategies.

    The report offers a complete analysis of miticides companies including:

    BASF
    Bayer
    DowDuPont
    FMC Corporation
    Syngenta
    

    Miticides market growth based on geographic regions

    Americas
    APAC
    EMEA
    

    With a complete study of the growth opportunities for companies across regions such as the Americas, APAC, and EMEA, our industry research analysts have estimated that countries in the APAC will constitute the maximum growth of this miticides market throughout the predicted period. The growth in this segment is attributable to the arable land expansion in APAC, particularly China and India.

    Key highlights of the global miticides market for the forecast years 2018-2022:

    CAGR of the market during the forecast period 2018-2022
    Detailed information on factors that will accelerate the growth of the miticides market during the next five years
    Precise estimation of the global miticides market size and its contribution to the parent market
    Accurate predictions on upcoming trends and changes in consumer behavior
    Growth of the miticides industry across various geographies such as the Americas, APAC, and EMEA
    A thorough analysis of the market’s competitive landscape and detailed information on several vendors
    Comprehensive information about factors that will challenge the growth of miticides companies
    

    Get more value with Technavio’s INSIGHTS subscription platform! Gain easy access to all Technavio’s reports, along with on-demand services. Try the demo.

    This market research report analyzes the market outlook and provides a list of key trends, drivers, and challenges that are anticipated to impact the global miticides market and its stakeholders over the forecast years.

    Technavio’s miticides market research analysis considers how the performance of other related markets in the vertical will impact miticides market size till 2022. Some of the markets most likely to influence the growth of the miticides market over the coming years are the biopesticides market and the crop protection chemicals market.

    Technavio also provides customized reports based on the specific requirements of clients.

  14. A

    Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of...

    • ceicdata.com
    Updated Oct 9, 2014
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    CEICdata.com (2014). Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/armenia/social-poverty-and-inequality/am-survey-mean-consumption-or-income-per-capita-bottom-40-of-population-annualized-average-growth-rate
    Explore at:
    Dataset updated
    Oct 9, 2014
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2018
    Area covered
    Armenia
    Description

    Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.260 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.260 % from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 1.260 % in 2018 and a record low of 1.260 % in 2018. Armenia AM: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Social: Poverty and Inequality. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The coverage and quality of the 2017 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2017 exercise of the International Comparison Program. See the Poverty and Inequality Platform for detailed explanations.;World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).;;The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  15. d

    Refugee Admission to the US Ending FY 2018

    • data.world
    csv, zip
    Updated Nov 20, 2022
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    The Associated Press (2022). Refugee Admission to the US Ending FY 2018 [Dataset]. https://data.world/associatedpress/refugee-admissions-to-us-end-fy-2018
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    zip, csvAvailable download formats
    Dataset updated
    Nov 20, 2022
    Authors
    The Associated Press
    Time period covered
    2009 - 2018
    Area covered
    United States
    Description

    Overview

    At the end of the 2018 fiscal year, the U.S. had resettled 22,491 refugees -- a small fraction of the number of people who had entered in prior years. This is the smallest annual number of refugees since Congress passed a law in 1980 creating the modern resettlement system.

    It's also well below the cap of 45,000 set by the administration for 2018, and less than thirty percent of the number granted entry in the final year of Barack Obama’s presidency. It's also significantly below the cap for 2019 announced by President Trump's administration, which is 30,000.

    The Associated Press is updating its data on refugees through fiscal year 2018, which ended Sept. 30, to help reporters continue coverage of this story. Previous Associated Press data on refugees can be found here.

    Data obtained from the State Department's Bureau of Population, Refugees and Migration show the mix of refugees also has changed substantially:

    • The numbers of Iraqi, Somali and Syrian refugees -- who made up more than a third of all resettlements in the U.S. in the prior five years -- have almost entirely disappeared. Refugees from those three countries comprise about two percent of the 2018 resettlements.
    • In 2018, Christians have made up more than sixty percent of the refugee population, while the share of Muslims has dropped from roughly 45 percent of refugees in fiscal year 2016 to about 15 percent. (This data is not available at the city or state level.)
    • Of the states that usually average at least 100 resettlements, Maine, Louisiana, Michigan, Florida, California, Oklahoma and Texas have seen the largest percentage decreases in refugees. All have had their refugee caseloads drop more than 75% when comparing 2018 to the average over the previous five years (2013-2017).

    The past fiscal year marks a dramatic change in the refugee program, with only a fraction as many people entering. That affects refugees currently in the U.S., who may be waiting on relatives to arrive. It affects refugees in other countries, hoping to get to the United States for safety or other reasons. And it affects the organizations that work to house and resettle these refugees, who only a few years ago were dealing with record numbers of people. Several agencies have already closed their doors; others have laid off workers and cut back their programs.

    Because there is wide geographic variations on resettlement depending on refugees' country of origin, some U.S. cities have been more affected by this than others. For instance, in past years, Iraqis have resettled most often in San Diego, Calif., or Houston. Now, with only a handful of Iraqis being admitted in 2018, those cities have seen some of the biggest drop-offs in resettlement numbers.

    About This Data

    Datasheets include:

    • Annual_refugee_data: This provides the rawest form of the data from Oct. 1, 2008 – Sept. 30, 2018, where each record is a combination of fiscal year, city for refugee arrivals to a specific city and state and from a specific origin. Also provides annual totals for the state.
    • City_refugees: This provides data grouped by city for refugee arrivals to a specific city and state and from a specific origin, showing totals for each year next to each other in different columns, so you can quickly see trends over time. Data is from Oct. 1, 2008 – Sept. 30, 2018, grouped by fiscal year. It also compares 2018 numbers to a five-year average from 2013-2017.
    • City_refugees_and_foreign_born_proportions: This provides the data in City_refugees along with data that gives context to the origins of the foreign born populations living in each city. There are regional columns, sub-regional columns and a column specific to the origin listed in the refugee data. Data is from the American Community Survey 5-year 2013-2017 Table B05006: PLACE OF BIRTH FOR THE FOREIGN-BORN POPULATION. ### Caveats According to the State Department: "This data tracks the movement of refugees from various countries around the world to the U.S. for resettlement under the U.S. Refugee Admissions Program." The data does not include other types of immigration or visits to the U.S.

    The data tracks the refugees' stated destination in the United States. In many cases, this is where the refugees first lived, although many may have since moved.

    Be aware that some cities with particularly high totals may be the locations of refugee resettlement programs -- for instance, Glendale, Calif., is home to both Catholic Charities of Los Angeles and the International Rescue Committee of Los Angeles, which work at resettling refugees.

    About Refugee Resettlement

    The data for refugees from other countries - or for any particular timeframe since 2002 - can be accessed through the State Department's Refugee Processing Center's site by clicking on "Arrivals by Destination and Nationality."

    The Refugee Processing Center used to publish a state-by-state list of affiliate refugee organizations -- the groups that help refugees settle in the U.S. That list was last updated in January 2017, so it may now be out of date. It can be found here.

    For general information about the U.S. refugee resettlement program, see this State Department description. For more detailed information about the program and proposed 2018 caps and changes, see the FY 2018 Report to Congress.

    Queries

    The Associated Press has set up a number of pre-written queries to help you filter this data and find local stories. Queries can be accessed by clicking on their names in the upper right hand bar.

    • Find Cities Impacted - Most Change -- Use this query to see the cities that have seen the largest drop-offs in refugee resettlements. Creates a five-year average of how many refugees of a certain origin have come in the past, and then measures 2018 by that. Be wary of small raw numbers when considering the percentages!
    • Total Refugees for Each City in Your State -- Use this query to get the number of total refugees who've resettled in your state's cities by year.
    • Total Refugees in Your State -- Use this query to get the number of total refugees who've resettled in your state by year.
    • Changes in Origin over Time -- Use this query to track how many refugees are coming from each origin by year. The initial query provides national numbers, but can be filtered for state or even for city.
    • Extract Raw Data for Your State -- Use this query to type in your state name to extract and download just the data in your state. This is the raw data from the State Department, so it may be slightly more difficult to see changes over time. ###### Contact AP Data Journalist Michelle Minkoff with questions, mminkoff@ap.org
  16. 2020 American Community Survey: S0501 | SELECTED CHARACTERISTICS OF THE...

    • data.census.gov
    + more versions
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    ACS, 2020 American Community Survey: S0501 | SELECTED CHARACTERISTICS OF THE NATIVE AND FOREIGN-BORN POPULATIONS (ACS 5-Year Estimates Subject Tables) [Dataset]. https://data.census.gov/table/ACSST5Y2020.S0501?q=Oregon+2020
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2020
    Description

    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..Methodological changes to citizenship edits may have affected citizenship data for those born in American Samoa. Users should be aware of these changes when using 2018 data or multi-year data containing data from 2018. For more information, see: American Samoa Citizenship User Note..Industry titles and their 4-digit codes are based on the North American Industry Classification System (NAICS). The Census industry codes for 2018 and later years are based on the 2017 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2018) were recoded to the 2017 Census industry codes. We recommend using caution when comparing data coded using 2017 Census industry codes with data coded using Census industry codes prior to data year 2018. For more information on the Census industry code changes, please visit our website at https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html..Telephone service data are not available for certain geographic areas due to problems with data collection of this question that occurred in 2016 and 2019. Both ACS 1-year and ACS 5-year files were affected. It may take several years in the ACS 5-year files until the estimates are available for the geographic areas affected..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..Occupation titles and their 4-digit codes are based on the Standard Occupational Classification (SOC). The Census occupation codes for 2018 and later years are based on the 2018 revision of the SOC. To allow for the creation of the multiyear tables, occupation data in the multiyear files (prior to data year 2018) were recoded to the 2018 Census occupation codes. We recommend using caution when comparing data coded using 2018 Census occupation codes with data coded using Census occupation codes prior to data year 2018. For more information on the Census occupation code changes, please visit our website at https://www.census.gov/topics/employment /industry-occupation/guidance/code-lists.html..In 2019, methodological changes were made to the class of worker question. These changes involved modifications to the question wording, the category wording, and the visual format of the categories on the questionnaire. The format for the class of worker categories are now listed under the headings "Private Sector Employee," "Government Employee," and "Self-Employed or Other." Additionally, the category of Active Duty was added as one of the response categories under the "Government Employee" section for the mail questionnaire. For more detailed information about the 2019 changes, see the 2016 American Community Survey Content Test Report for Class of Worker located at http://www.census.gov/library/working-papers/2017/acs/2017_Martinez_01.html..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 ur...

  17. Predictor variables used for modeling habitat suitability of jaguars in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 9, 2023
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    Gerardo Ceballos; Heliot Zarza; José F. González-Maya; J. Antonio de la Torre; Andrés Arias-Alzate; Carlos Alcerreca; Horacio V. Barcenas; Gerardo Carreón-Arroyo; Cuauhtémoc Chávez; Carlos Cruz; Daniela Medellín; Andres García; Marco Antonio-García; Marco A. Lazcano-Barrero; Rodrigo A. Medellín; Oscar Moctezuma-Orozco; Fernando Ruiz; Yamel Rubio; Victor H. Luja; Erik Joaquín Torres-Romero (2023). Predictor variables used for modeling habitat suitability of jaguars in Mexico. [Dataset]. http://doi.org/10.1371/journal.pone.0255555.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Gerardo Ceballos; Heliot Zarza; José F. González-Maya; J. Antonio de la Torre; Andrés Arias-Alzate; Carlos Alcerreca; Horacio V. Barcenas; Gerardo Carreón-Arroyo; Cuauhtémoc Chávez; Carlos Cruz; Daniela Medellín; Andres García; Marco Antonio-García; Marco A. Lazcano-Barrero; Rodrigo A. Medellín; Oscar Moctezuma-Orozco; Fernando Ruiz; Yamel Rubio; Victor H. Luja; Erik Joaquín Torres-Romero
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Mexico
    Description

    Predictor variables used for modeling habitat suitability of jaguars in Mexico.

  18. Most popular mobile banking apps in select European countries 2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Most popular mobile banking apps in select European countries 2018 [Dataset]. https://www.statista.com/statistics/919109/most-popular-banking-apps-in-select-european-countries/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2018
    Area covered
    United Kingdom, Germany, Spain, France, Italy, Europe
    Description

    As of March 2018, the UK headquartered Barclays mobile banking app had the highest traffic of banking apps in Europe with * million unique visitors. On a wider scale the Russian bank Sberbank reportedly had over ** million individuals using their mobile app. In Germany, approximately ** million individuals use online banking, with a digital population of around ** percent using online banking services. Rise of online only banks Online only banks otherwise known as disruptor banks have been making a big splash over the last few years in what was once an incumbent and stagnant market. The UK founded online only bank Revolut, which was launched in July 2015 is estimated to have approximately 9 million customers by the end of 2020. Investors are also showing huge confidence in disruptors with the German bank N26 receiving over half a billion U.S. dollars in funding as of January 2019. Some banks embrace disruptors Compared to several other European banks, Banco Santander Group have been preparing themselves for the digital revolution. Through acquisition, investment and mergers the Spanish bank have embraced FinTech companies more than any other of Europe’s leading banks. To find out more about the European banking sector and the rise of online only banks you can read the report.

  19. 2020 American Community Survey: S0502PR | SELECTED CHARACTERISTICS OF THE...

    • data.census.gov
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    ACS, 2020 American Community Survey: S0502PR | SELECTED CHARACTERISTICS OF THE FOREIGN-BORN POPULATION BY PERIOD OF ENTRY INTO PUERTO RICO (ACS 5-Year Estimates Subject Tables) [Dataset]. https://data.census.gov/table/ACSST5Y2020.S0502PR?g=040XX00US72_010XX00US&y=2020&tid=ACSST5Y2020.S0502PR
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2020
    Description

    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..Methodological changes to citizenship edits may have affected citizenship data for those born in American Samoa. Users should be aware of these changes when using 2018 data or multi-year data containing data from 2018. For more information, see: American Samoa Citizenship User Note..Industry titles and their 4-digit codes are based on the North American Industry Classification System (NAICS). The Census industry codes for 2018 and later years are based on the 2017 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2018) were recoded to the 2017 Census industry codes. We recommend using caution when comparing data coded using 2017 Census industry codes with data coded using Census industry codes prior to data year 2018. For more information on the Census industry code changes, please visit our website at https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..Occupation titles and their 4-digit codes are based on the Standard Occupational Classification (SOC). The Census occupation codes for 2018 and later years are based on the 2018 revision of the SOC. To allow for the creation of the multiyear tables, occupation data in the multiyear files (prior to data year 2018) were recoded to the 2018 Census occupation codes. We recommend using caution when comparing data coded using 2018 Census occupation codes with data coded using Census occupation codes prior to data year 2018. For more information on the Census occupation code changes, please visit our website at https://www.census.gov/topics/employment /industry-occupation/guidance/code-lists.html..In 2019, methodological changes were made to the class of worker question. These changes involved modifications to the question wording, the category wording, and the visual format of the categories on the questionnaire. The format for the class of worker categories are now listed under the headings "Private Sector Employee," "Government Employee," and "Self-Employed or Other." Additionally, the category of Active Duty was added as one of the response categories under the "Government Employee" section for the mail questionnaire. For more detailed information about the 2019 changes, see the 2016 American Community Survey Content Test Report for Class of Worker located at http://www.census.gov/library/working-papers/2017/acs/2017_Martinez_01.html..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 w...

  20. Countries with the largest music product sales revenue worldwide 2018

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Countries with the largest music product sales revenue worldwide 2018 [Dataset]. https://www.statista.com/statistics/498225/music-product-revenue-by-country/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    The statistic shows the countries with the largest music product revenues worldwide by country in 2018. The total sales revenue of music products in the United States was approximately *** billion U.S. dollars in 2018.

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Statista Research Department (2025). Countries with the largest urban population in 2018 [Dataset]. https://tokrwards.com/?_=%2Fstudy%2F57665%2Fmegacities-worldwide%2F%23D%2FIbH0Phabzf84KQxRXLgxTyDkFTtCs%3D
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Countries with the largest urban population in 2018

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Dataset updated
Oct 2, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

This statistic shows the twenty countries with the largest urban populations worldwide in 2018. In 2018, the urban population of China was around 837 million people.

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