35 datasets found
  1. h

    Million-AID

    • huggingface.co
    Updated Apr 6, 2023
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    Jonathan Roberts (2023). Million-AID [Dataset]. https://huggingface.co/datasets/jonathan-roberts1/Million-AID
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 6, 2023
    Authors
    Jonathan Roberts
    License

    https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/

    Description

    Dataset Card for "Million-AID"

      Split Information
    

    This HuggingFace dataset repository contains just the Train split.

      Licensing Information
    

    CC BY-NC-ND 4.0

      Citation Information
    

    On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid @article{long2021creating, title = {On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid}, author = {Long, Yang and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Million-AID.

  2. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 1, 2022
    + more versions
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    Giant Partners (2022). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
    Explore at:
    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

  3. Social media users in the United States 2020-2029

    • statista.com
    • ai-chatbox.pro
    Updated Dec 12, 2024
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    Statista (2024). Social media users in the United States 2020-2029 [Dataset]. https://www.statista.com/statistics/278409/number-of-social-network-users-in-the-united-states/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of social media users in the United States was forecast to continuously increase between 2024 and 2029 by in total 26 million users (+8.55 percent). After the ninth consecutive increasing year, the social media user base is estimated to reach 330.07 million users and therefore a new peak in 2029. Notably, the number of social media users of was continuously increasing over the past years.The shown figures regarding social media users have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  4. N

    United States Population Breakdown by Gender and Age

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). United States Population Breakdown by Gender and Age [Dataset]. https://www.neilsberg.com/research/datasets/67bfb3d0-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 14, 2023
    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
    United States
    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) 2017-2021 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 United States by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for United States. The dataset can be utilized to understand the population distribution of United States by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in United States. 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 United States.

    Key observations

    Largest age group (population): Male # 25-29 years (11.59 million) | Female # 25-29 years (11.26 million). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 United States population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the United States is shown in the following column.
    • Population (Female): The female population in the United States 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 United States 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 United States Population by Gender. You can refer the same here

  5. h

    Voila-million-voice

    • huggingface.co
    Updated May 6, 2025
    + more versions
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    Maitrix.org (2025). Voila-million-voice [Dataset]. https://huggingface.co/datasets/maitrix-org/Voila-million-voice
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset provided by
    Maitrix.org
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Voila: Voice-Language Foundation Models 💜 Project Page | 🖥️ GitHub | 🤗 Hugging Face | 📑 Paper | 🌐 Online Demo | 🏠Maitrix.org

    Voila is a new family of large voice-language foundation models aiming to lift human-AI interaction experiences to the next level. Breaking away from the constraints of traditional voice AI systems—high latency, loss of vocal nuances, and mechanical responses—Voila employs an innovative end-to-end model design and a novel… See the full description on the dataset page: https://huggingface.co/datasets/maitrix-org/Voila-million-voice.

  6. T

    United States Total Light Vehicle Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). United States Total Light Vehicle Sales [Dataset]. https://tradingeconomics.com/united-states/total-vehicle-sales
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1976 - Jun 30, 2025
    Area covered
    United States
    Description

    Total Vehicle Sales in the United States decreased to 15.30 Million in June from 15.70 Million in May of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. N

    Massachusetts Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Massachusetts Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Massachusetts from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/massachusetts-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    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
    Massachusetts
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. 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 Massachusetts population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Massachusetts across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Massachusetts was 7.14 million, a 0.98% increase year-by-year from 2023. Previously, in 2023, Massachusetts population was 7.07 million, an increase of 0.63% compared to a population of 7.02 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Massachusetts increased by 773,673. In this period, the peak population was 7.14 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Massachusetts is shown in this column.
    • Year on Year Change: This column displays the change in Massachusetts population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Massachusetts Population by Year. You can refer the same here

  8. Global average cost per industrial data breach 2019-2024

    • statista.com
    • ai-chatbox.pro
    Updated Sep 11, 2024
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    Statista (2024). Global average cost per industrial data breach 2019-2024 [Dataset]. https://www.statista.com/statistics/1374884/cost-of-industrial-data-breaches-in-worldwide/
    Explore at:
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, the average cost of an industrial data breach reached its peak with an average of 5.56 million U.S. dollars, up from 4.73 million U.S. dollars in 2023. In comparison, the global average cost of a data breach across all studied industries was 4.88 million U.S. dollars.

  9. Global Individual Income, Profits and Capital Gains Tax Revenue Perceived by...

    • reportlinker.com
    Updated Apr 9, 2024
    + more versions
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    ReportLinker (2024). Global Individual Income, Profits and Capital Gains Tax Revenue Perceived by Any Governmental Institution Share by Country (Million US Dollars), 2023 [Dataset]. https://www.reportlinker.com/dataset/efb5466e20dc9dd91a8c8213d6433f671f1df75a
    Explore at:
    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Description

    Global Individual Income, Profits and Capital Gains Tax Revenue Perceived by Any Governmental Institution Share by Country (Million US Dollars), 2023 Discover more data with ReportLinker!

  10. g

    Development Economics Data Group - Government expenditure on post-secondary...

    • gimi9.com
    + more versions
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    Development Economics Data Group - Government expenditure on post-secondary non-tertiary education, US$ (millions) | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_edstats_uis_x_us_4_fsgov/
    Explore at:
    License

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

    Description

    Total general (local, regional and central) government expenditure on post-secondary non-tertiary education (current, capital, and transfers) in millions US$ (nominal value). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to US$. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/

  11. N

    Queens County, NY Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Queens County, NY Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Queens County from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/queens-county-ny-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    Queens, New York, New York
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Queens County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Queens County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Queens County was 2.25 million, a 1.16% decrease year-by-year from 2022. Previously, in 2022, Queens County population was 2.28 million, a decline of 2.17% compared to a population of 2.33 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Queens County increased by 22,518. In this period, the peak population was 2.39 million in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Queens County is shown in this column.
    • Year on Year Change: This column displays the change in Queens County population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Queens County Population by Year. You can refer the same here

  12. N

    Nebraska Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Cite
    Neilsberg Research (2025). Nebraska Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Nebraska from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/nebraska-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    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
    Nebraska
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. 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 Nebraska population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Nebraska across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Nebraska was 2.01 million, a 0.89% increase year-by-year from 2023. Previously, in 2023, Nebraska population was 1.99 million, an increase of 0.79% compared to a population of 1.97 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Nebraska increased by 292,186. In this period, the peak population was 2.01 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Nebraska is shown in this column.
    • Year on Year Change: This column displays the change in Nebraska population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Nebraska Population by Year. You can refer the same here

  13. N

    Virginia Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Virginia Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Virginia from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/virginia-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    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
    Virginia
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. 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 Virginia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Virginia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Virginia was 8.81 million, a 0.88% increase year-by-year from 2023. Previously, in 2023, Virginia population was 8.73 million, an increase of 0.59% compared to a population of 8.68 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Virginia increased by 1.71 million. In this period, the peak population was 8.81 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Virginia is shown in this column.
    • Year on Year Change: This column displays the change in Virginia population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Virginia Population by Year. You can refer the same here

  14. N

    Pennsylvania Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Pennsylvania Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Pennsylvania from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/bf50aada-4dd0-11ef-a154-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 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
    Pennsylvania
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Pennsylvania population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Pennsylvania across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Pennsylvania was 12.96 million, a 0.08% decrease year-by-year from 2022. Previously, in 2022, Pennsylvania population was 12.97 million, a decline of 0.32% compared to a population of 13.01 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Pennsylvania increased by 677,802. In this period, the peak population was 13.01 million in the year 2021. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Pennsylvania is shown in this column.
    • Year on Year Change: This column displays the change in Pennsylvania population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Pennsylvania Population by Year. You can refer the same here

  15. N

    Los Angeles, CA Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Los Angeles, CA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Los Angeles from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/los-angeles-ca-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    California, Los Angeles
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Los Angeles population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Los Angeles across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Los Angeles was 3.82 million, a 0.05% decrease year-by-year from 2022. Previously, in 2022, Los Angeles population was 3.82 million, a decline of 0.26% compared to a population of 3.83 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Los Angeles increased by 118,340. In this period, the peak population was 3.98 million in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Los Angeles is shown in this column.
    • Year on Year Change: This column displays the change in Los Angeles population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Los Angeles Population by Year. You can refer the same here

  16. Data from: World Data Bank II: North America, South America, Europe, Africa,...

    • icpsr.umich.edu
    ascii
    Updated Jan 18, 2006
    + more versions
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    United States. Central Intelligence Agency (2006). World Data Bank II: North America, South America, Europe, Africa, Asia [Dataset]. http://doi.org/10.3886/ICPSR08376.v1
    Explore at:
    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Central Intelligence Agency
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8376/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8376/terms

    Area covered
    Asia, Africa, Americas, South America, North America, Europe, United States, Canada
    Description

    The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.

  17. N

    New Hampshire Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
    Share
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    Neilsberg Research (2025). New Hampshire Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in New Hampshire from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/new-hampshire-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    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
    New Hampshire, New Hampshire
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. 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 New Hampshire population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Hampshire across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of New Hampshire was 1.41 million, a 0.49% increase year-by-year from 2023. Previously, in 2023, New Hampshire population was 1.4 million, an increase of 0.40% compared to a population of 1.4 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of New Hampshire increased by 168,647. In this period, the peak population was 1.41 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the New Hampshire is shown in this column.
    • Year on Year Change: This column displays the change in New Hampshire population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 New Hampshire Population by Year. You can refer the same here

  18. Facebook: quarterly number of MAU (monthly active users) worldwide 2008-2023...

    • statista.com
    Updated May 21, 2024
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    Statista (2024). Facebook: quarterly number of MAU (monthly active users) worldwide 2008-2023 [Dataset]. https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/
    Explore at:
    Dataset updated
    May 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    With roughly three billion monthly active users as of the second quarter of 2023, Facebook is the most used online social network worldwide. The platform surpassed two billion active users in the second quarter of 2017, taking just over 13 years to reach this milestone. In comparison, Meta-owned Instagram took 11.2 years, and Google’s YouTube took just over 14 years to achieve this landmark. As of January 2022, Facebook’s leading audience base was in India, with almost 330 million users whilst the United States ranked second with an approximate total of 179 million users. The platform also finds remarkable popularity in Indonesia and Brazil. Social Media usage in the United States In January 2021, Facebook was the platform on which users in the United States spent the most time per day. The average time spent on Facebook was 33 minutes, followed by TikTok with 32 minutes and Twitter with 31 daily minutes. Due to the COVID-19 outbreak in 2020, all major social media platforms saw an increase in daily usage, which then either plateaued or decreased in 2021. At the end of 2021, over a quarter of all Facebook users in the United States belonged to the 25 to 34 year age group and 18.2 percent of users were in the 35 to 44 year age group. In general, Facebook users were more likely to be female. Meta Platforms Meta is Facebook’s recently renamed parent company and had a grand total of 3.59 billion core product users by the final quarter of 2021. Other Meta products include Instagram, Facebook Messenger, WhatsApp and Oculus – Meta’s virtual reality subsidiary which produces VR headsets. In 2021, Meta's revenue amounted to 117 billion US dollars, up from around 86 billion U.S. dollars in the previous financial year.

  19. United States US: Road Fatalities: Per One Million Inhabitants

    • ceicdata.com
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    CEICdata.com, United States US: Road Fatalities: Per One Million Inhabitants [Dataset]. https://www.ceicdata.com/en/united-states/road-traffic-and-road-accident-fatalities-oecd-member-annual/us-road-fatalities-per-one-million-inhabitants
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2012 - Dec 1, 2023
    Area covered
    United States
    Description

    United States US: Road Fatalities: Per One Million Inhabitants data was reported at 12.239 Ratio in 2023. This records a decrease from the previous number of 12.757 Ratio for 2022. United States US: Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 12.844 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 15.704 Ratio in 1995 and a record low of 10.284 Ratio in 2014. United States US: Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Road Traffic and Road Accident Fatalities: OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

  20. N

    Montana Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Montana Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Montana from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/bf496d1e-4dd0-11ef-a154-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 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
    Montana
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. 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 Montana population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Montana across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Montana was 1.13 million, a 0.88% increase year-by-year from 2022. Previously, in 2022, Montana population was 1.12 million, an increase of 1.49% compared to a population of 1.11 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Montana increased by 229,507. In this period, the peak population was 1.13 million in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Montana is shown in this column.
    • Year on Year Change: This column displays the change in Montana population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Montana Population by Year. You can refer the same here

Share
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Email
Click to copy link
Link copied
Close
Cite
Jonathan Roberts (2023). Million-AID [Dataset]. https://huggingface.co/datasets/jonathan-roberts1/Million-AID

Million-AID

jonathan-roberts1/Million-AID

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 6, 2023
Authors
Jonathan Roberts
License

https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/

Description

Dataset Card for "Million-AID"

  Split Information

This HuggingFace dataset repository contains just the Train split.

  Licensing Information

CC BY-NC-ND 4.0

  Citation Information

On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid @article{long2021creating, title = {On creating benchmark dataset for aerial image interpretation: Reviews, guidances, and million-aid}, author = {Long, Yang and… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Million-AID.

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