99 datasets found
  1. Nemotron-Personas

    • huggingface.co
    Updated Jun 9, 2025
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    NVIDIA (2025). Nemotron-Personas [Dataset]. https://huggingface.co/datasets/nvidia/Nemotron-Personas
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    Nvidiahttp://nvidia.com/
    Authors
    NVIDIA
    License

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

    Description

    Nemotron-Personas: Synthetic Personas Aligned to Real-World Distributions

    A compound AI approach to personas grounded in real-world distributions

      Dataset Overview
    

    Nemotron-Personas is an open-source (CC BY 4.0) dataset of synthetically-generated personas grounded in real-world demographic, geographic and personality trait distributions to capture the diversity and richness of the population. It is the first dataset of its kind aligned with statistics for names… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Personas.

  2. d

    Global B2C Demographic Append & Enrichment Data for Deeper Customer Insights...

    • datarade.ai
    .csv, .xls
    Updated May 22, 2025
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    eGentic (2025). Global B2C Demographic Append & Enrichment Data for Deeper Customer Insights | 1M+ Records Monthly [Dataset]. https://datarade.ai/data-products/global-b2c-demographic-append-enrichment-data-for-deeper-cu-egentic
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    eGentic
    Area covered
    Malaysia, Hong Kong, Indonesia, United Kingdom, Philippines, Portugal, Poland, Italy, Netherlands, Taiwan
    Description

    Key Features: • Enriches CRM and first-party data with verified demographic attributes • Supports both hashed and unhashed email formats • Privacy-compliant and sourced from permission-based datasets • Coverage available across key APAC markets

    Use Cases: • Enhance customer profiles with age, gender, and lifestyle indicators • Build detailed personas for refined audience segmentation • Power personalization engines with enriched user data • Boost acquisition and retention strategies with smarter targeting

    Key Attributes Available (varies by region): • Age • Gender • Location (City, State, Country) • Household Composition • Income Bracket • Interests & Lifestyle Indicators

    Data Format: Hashed (SHA-256) & Unhashed Emails

    Data Delivery: SFTP

    Perfect For: • CRM Managers • Data & Analytics Teams • Marketing Automation • Ad Tech / Martech Providers • Media Agencies

  3. Comparison of number of voice assistants and human population worldwide 2019...

    • statista.com
    Updated Mar 17, 2022
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    Statista (2022). Comparison of number of voice assistants and human population worldwide 2019 and 2023 [Dataset]. https://www.statista.com/statistics/1034436/worldwide-number-voice-assistant-human-population/
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    Dataset updated
    Mar 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    World
    Description

    Estimates suggest that by 2023, the number of voice assistants in existence will be roughly equal to the global population, reaching around eight billion. As of 2019, this number stands at around 2.45 billion, implying that the voice assistant industry is set for continued, rapid growth over the coming years.

  4. e

    Nombres por edad media entre las personas inscritas en el registro de...

    • data.europa.eu
    json
    Updated Dec 21, 2024
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    Statistikmyndigheten SCB - Statistiska centralbyrån (2024). Nombres por edad media entre las personas inscritas en el registro de población al 31 de diciembre y al 31 de diciembre del año respectivo. Año 2005 - 2020 [Dataset]. https://data.europa.eu/data/datasets/https-statistikdatabasen-scb-se-dataset-tab622?locale=no
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    jsonAvailable download formats
    Dataset updated
    Dec 21, 2024
    Dataset authored and provided by
    Statistikmyndigheten SCB - Statistiska centralbyrån
    License

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

    Description

    Średni wiek według imienia i roku

  5. A

    ‘Proporción de personas mayores de cierta edad por municipio. IDB (API...

    • analyst-2.ai
    Updated Jan 19, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Proporción de personas mayores de cierta edad por municipio. IDB (API identifier: 30701)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-proporcion-de-personas-mayores-de-cierta-edad-por-municipio-idb-api-identifier-30701-b919/latest
    Explore at:
    Dataset updated
    Jan 19, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Proporción de personas mayores de cierta edad por municipio. IDB (API identifier: 30701)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/urn-ine-es-tabla-t3-71-30701 on 19 January 2022.

    --- Dataset description provided by original source is as follows ---

    Table of INEBase Proporción de personas mayores de cierta edad por municipio. Annual. Municipalities. Basic Demographic Indicators

    --- Original source retains full ownership of the source dataset ---

  6. Summary of data on Persons by gender, demographic characteristics and type...

    • ine.es
    csv, html, json +4
    Updated Jun 2, 2025
    + more versions
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    INE - Instituto Nacional de Estadística (2025). Summary of data on Persons by gender, demographic characteristics and type of ICT use. [Dataset]. https://www.ine.es/jaxi/Tabla.htm?tpx=50084&L=1
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    xlsx, txt, json, csv, text/pc-axis, html, xlsAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Sex, Type of ICT use, Demographic characteristics
    Description

    Survey on Equipment and Use of Information and Communication Technologies in Households: Summary of data on Persons by gender, demographic characteristics and type of ICT use. National.

  7. a

    Censo INEGI 2020 Demografia Municipal /INEGI Census 2020 Demographics by...

    • livingatlas-dcdev.opendata.arcgis.com
    • statsdemo-maps4stats.hub.arcgis.com
    Updated Feb 18, 2021
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    dlagunes_SIGSAMKT (2021). Censo INEGI 2020 Demografia Municipal /INEGI Census 2020 Demographics by Municipality [Dataset]. https://livingatlas-dcdev.opendata.arcgis.com/datasets/fc75b4b962984d818d0f155498b51a89
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    Dataset updated
    Feb 18, 2021
    Dataset authored and provided by
    dlagunes_SIGSAMKT
    Area covered
    Description

    Censo INEGI 2020 Información Demografica Municipal /INEGI Census 2020 Demographic Information by MunicipalityEsta capa muestra las características demográficas de México a nivel municipal desglosadas por género y grupo de edad. También hay atributos, que representan estas características como porcentaje de la población total del municipio, que pueden mapearse o usarse dentro del análisis.La capa está simbolizada por el porcentaje de personas mayores (60+) de la población total del municipio. Para ver la lista completa de atributos disponibles en este servicio, vaya a la pestaña "Datos" y seleccione "Campos" en la parte superior derecha.Esta capa lista para usar se puede usar dentro de ArcGIS Pro, ArcGIS Online, sus aplicaciones configurables, paneles, Story Maps, aplicaciones personalizadas y aplicaciones móviles. Los datos también se pueden exportar para flujos de trabajo sin conexión. Por favor, cite al INEGI (Instituto Nacional de Estadística y Geografía) cuando utilice estos datos.Información adicional sobre documentación y metodología del censo se puede encontrar en Censo Población y Vivienda 2020 (inegi.org.mx)_ This layer shows demographic characteristics for Mexico at a municipal level broken by gender and age group. There are also attributes, representing these characteristics as percentage of total municipal population, which can be mapped or used within analysis. The layer is symbolized by the percentage of senior citizens (60+) of total population in the municipality. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite INEGI (Instituto Nacional de Estadística y Geografía) when using this data.Additional information regarding documentation and methodology regarding the census can be found at Censo Población y Vivienda 2020 (inegi.org.mx)

  8. e

    Indicadores de confianza en las personas y en los poderes públicos para la...

    • euskadi.eus
    csv, xlsx
    Updated Apr 30, 2025
    + more versions
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    (2025). Indicadores de confianza en las personas y en los poderes públicos para la población de 16 y más años de la C.A. de Euskadi por sexo y características sociodemográficas. Porcentaje y media. Coeficientes de variación. 2024 ## [Dataset]. https://www.euskadi.eus/population-aged-16-or-over-of-the-basque-country-by-indicators-of-trust-in-people-and-in-the-public-authorities-according-to-socio-demographic-characteristics-and-average-variation-coefficients/web01-ejeduki/en/
    Explore at:
    xlsx(22.42), csv(4.27)Available download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Area covered
    Basque Country
    Description

    Measuring quality of life involves observing the different aspects of which it is composed, one of these aspects being personal or subjective well-being. The Survey on Personal Well-being offers detailed and up-to-date information about the population of the Basque Country's perception of well-being.

  9. v

    Global Healthy Paws Pet Insurance Market Size By Demographic Segmentation,...

    • verifiedmarketresearch.com
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    VERIFIED MARKET RESEARCH, Global Healthy Paws Pet Insurance Market Size By Demographic Segmentation, By Psychographic Segmentation, By Behavioral Segmentation, By Example Personas Segmentation, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/healthy-paws-pet-insurance-market/
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    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Healthy Paws Pet Insurance Market size was valued at USD 6.87 Million in 2023 and is projected to reach USD 17.54 Million by 2031, growing at a CAGR of 14.3% during the forecast period 2024-2031.

    Global Healthy Paws Pet Insurance Market Drivers

    The market drivers for the Healthy Paws Pet Insurance Market can be influenced by various factors. These may include:

    Increasing Pet Ownership and Humanization of Pets: The global trend of increasing pet ownership, coupled with the growing tendency to treat pets as family members, has driven significant demand for comprehensive pet healthcare solutions, bolstering the market for Healthy Paws Pet Insurance. As more households adopt pets and seek to offer them the best possible care, the necessity for veterinary insurance to manage potential health expenses grows.

    Rising Veterinary Costs: Advances in veterinary medicine, while offering cutting-edge treatments, have significantly increased the cost of pet healthcare. This surge in expenses for surgeries, diagnostics, and routine care has heightened pet owners' awareness of the need for insurance coverage, thus driving growth in the pet insurance market, including companies like Healthy Paws.

    Growing Awareness of Pet Health and Wellness: There is a rising awareness among pet owners regarding the importance of preventive care and timely treatment for their pets' well-being. As pet health knowledge becomes more widespread through social media and veterinary advocacy, more owners are inclined to seek insurance plans to ensure affordability and access to necessary treatments, directly benefiting Healthy Paws Pet Insurance.

    Technological Advancements in Veterinary Care: Innovations in veterinary diagnostics and treatment options have revolutionized pet healthcare, making it more efficient but also more expensive. Healthy Paws Pet Insurance benefits from this trend as pet owners look to protect themselves from unforeseen high veterinary costs by investing in comprehensive insurance policies that cover these advanced treatments.

    Increasing Chronic Conditions in Pets: Pets, like their human counterparts, are increasingly diagnosed with chronic conditions such as diabetes, arthritis, and cancer. The management of these illnesses typically involves significant financial outlays for continuous care and medications. This trend underscores the necessity for robust pet insurance options, thus driving demand for providers like Healthy Paws Pet Insurance.

    Improved Insurance Claim Processing and Customer Service: Enhanced customer experience in the pet insurance industry, characterized by streamlined claim processes, user-friendly mobile apps, and superior customer service, has made policies more attractive. Companies like Healthy Paws that invest in these improvements witness increased enrollment as they offer greater convenience and reliability to pet owners.

    Regulatory Support and Industry Standards: The establishment of clearer regulatory frameworks and industry standards is providing a more stable and trustworthy environment for the pet insurance market to thrive. Regulations that protect consumer rights and ensure transparency in insurance policies help in building consumer confidence, benefiting reputable providers such as Healthy Paws Pet Insurance.

    Growing Popularity of E-Commerce and Digital Platforms: The increasing preference for online shopping and digital services has made it easier for pet owners to access and purchase pet insurance. Healthy Paws has leveraged these platforms effectively to market their insurance products, allowing for easier comparison of plans, more detailed information, and streamlined purchasing processes, further driving market expansion.

    Expansion of Veterinary Networks: As more veterinary clinics and hospitals partner with pet insurance providers, the network of accessible care for insured pets expands. Healthy Paws Pet Insurance, with a broad network of participating vets, becomes a more attractive option for pet owners looking for widespread and quality veterinary care coverage.

    Economic Resilience and Disposable Income: Even amidst economic fluctuations, the pet insurance market has shown resilience, with pet owners continuing to invest in their pets' health. An increase in disposable income, particularly among millennials who form a significant portion of pet owners, supports continued expenditure on pet insurance, ensuring sustained market growth for companies like Healthy Paws Pet Insurance.

  10. m

    Factori_People Data | Global coverage with 900 Million+ device profiles

    • app.mobito.io
    Updated Dec 2, 2022
    + more versions
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    (2022). Factori_People Data | Global coverage with 900 Million+ device profiles [Dataset]. https://app.mobito.io/data-product/people-graph-data
    Explore at:
    Dataset updated
    Dec 2, 2022
    Area covered
    AFRICA, NORTH_AMERICA, ASIA, Australia, SOUTH_AMERICA, EUROPE
    Description

    People data is our proprietary mobile user dataset that links anonymous IDs to multiple attributes related to demographics, device ownership, audience segments, key locations, and more. This enables our partner brands to get a holistic view of a consumer based on their persona and be able to instantly gain actionable insights. People Data Reach:Our data reach represents the total number of counts available within various categories and comprises attributes such as user demographics, anonymous id, device details, location, affluence, interests, traveled countries, and so on. Use Cases:Consumer Insights:Gain a complete 360-degree view of the customer to detect behavioral changes, assess patterns, and forecast business effects.Data Enrichment;Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment.Sales Forecasting:Analyze consumer behavior to predict sales and monitor the performance of investmentsRetail Analytics:Analyze footfall trends in various locations and gain an understanding of customer personas.

  11. MTP 2024-2050 County Forecasts

    • public-morpc.hub.arcgis.com
    • ohiogide-geohio.opendata.arcgis.com
    Updated Feb 2, 2023
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    aporr_MORPC (2023). MTP 2024-2050 County Forecasts [Dataset]. https://public-morpc.hub.arcgis.com/documents/411b507692104e6792e99edaead2d48f
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    Dataset updated
    Feb 2, 2023
    Dataset provided by
    Mid-Ohio Regional Planning Commissionhttps://www.morpc.org/
    Authors
    aporr_MORPC
    Description

    This Excel spreadsheet is the primary output from the "county controls" development process. It includes forecasts of overall population for counties in the MORPC 15-county region in five-year intervals in the forecast horizon, as well as forecasts of housing, jobs, workers, and other variables related to these. It is updated approximately every four years in conjunction with updates to the Metropolitan Transportation Plan land use model (1), however it is also made available to the public as a standalone resource via the MORPC Population Hub (2). Referring to the MORPC Data User Personas (3), it includes summary tables intended for use by Engaged Elaine, Decisive Delaney, and Hopeful Hadiya, and a machine-readable long-form table intended for use by Savvy Sonja, Specialist Samir, and Coding Corey. The forecasts are produced using a proprietary time series model using historical population data from the U.S. Census Population Estimates Program (4) and various sources of contemporary data. A detailed methods document has not been released as of March 2023, however more information is available upon request.(1) MORPC Metropolitan Transportation Plan Appendix A: Future Land Use, p. v, https://www.morpc.org/wordpress/wp-content/uploads/2020/10/A_LandUse.pdf(2) MORPC Population Resource Hub: County Forecasts, https://www.morpc.org/popforecast(3) MORPC Data User Personas, https://www.morpc.org/tool-resource/data-user-personas/(4) Population Estimates Program, U.S. Census, https://www.census.gov/programs-surveys/popest.html

  12. H

    Colombia: Desplazamiento y Confinamiento - Probabilidad y estimación

    • data.humdata.org
    • data.amerigeoss.org
    xlsx
    Updated Mar 27, 2025
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    3iSolution (2025). Colombia: Desplazamiento y Confinamiento - Probabilidad y estimación [Dataset]. https://data.humdata.org/dataset/colombia-desplazamiento-y-confinamiento-probabilidad-y-estimacion-i-sem-2025
    Explore at:
    xlsx(55937)Available download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    3iSolution
    License

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

    Description

    Datos sobre estimación de personas que pueden ser víctima por desplazamiento individual, masivo y confinamientos y probabilidad de presentarse eventos de desplazamiento y confinamiento para el primer semestre del año 2025.

    El archivo de Excel incluye 3 hojas con información sobre:

    • Estimación_Desplaza_individual: Estimación de personas que pueden ser víctimas por eventos de desplazamiento individual y probabilidad de presentarse eventos de desplazamiento individual en el primer semestre del año 2025. • Estimación_Desplaza_masivo: Estimación de personas que pueden ser víctimas por eventos de desplazamiento masivo y probabilidad de presentarse eventos de desplazamiento masivos en el primer semestre del año 2025. • Estimación_Confinamiento: Estimación de personas que pueden ser víctimas por eventos de confinamiento y probabilidad de presentarse eventos de confinamientos en el primer semestre del año 2025.

  13. Inactive population not seeking employment because they care for dependent...

    • ine.es
    csv, html, json +4
    Updated Mar 24, 2023
    + more versions
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    INE - Instituto Nacional de Estadística (2023). Inactive population not seeking employment because they care for dependent persons by sex and age group. Percentages with respect to the total for each reason for caring for dependent persons [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=51147&L=1
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    csv, xlsx, text/pc-axis, txt, json, xls, htmlAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2021 - Jan 1, 2024
    Variables measured
    Age, Sex, Type of data, EAPS groupings, National Total, Relationship with economic activity, Limitations on participation in the work market due to caring for dependent people
    Description

    Economically Active Population Survey: Inactive population not seeking employment because they care for dependent persons by sex and age group. Percentages with respect to the total for each reason for caring for dependent persons. Annual. National.

  14. d

    Unacast Consumer Behavior Data Enrichment

    • datarade.ai
    .json, .csv, .txt
    Updated Mar 18, 2024
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    Unacast (2024). Unacast Consumer Behavior Data Enrichment [Dataset]. https://datarade.ai/data-products/unacast-s-data-enrichment-enrich-1st-party-data-and-create-gravy-analytics
    Explore at:
    .json, .csv, .txtAvailable download formats
    Dataset updated
    Mar 18, 2024
    Dataset authored and provided by
    Unacast
    Area covered
    South Georgia and the South Sandwich Islands, Saint Barthélemy, Nicaragua, United States of America, Curaçao, Latvia, Afghanistan, New Zealand, Fiji, Palau
    Description

    Unacast’s Consumer Behavior Data Enrichment provides a robust view of consumers’ affinities, lifestyles, stages of life, and travel patterns. Utilize Consumer Data Enrichment to build multi-dimensional customer profiles, generate look-alike models, extend reach to different marketing channels, and clarify households and connections between devices.

    Our on-demand API can enrich opted-in customer data (Mobile Advertiser IDs) or hashed email addresses (HEMs) and FLIPs (frequently leveraged IPs). Based on the query, the API will deliver associated data such as HEM, app data, Unacast Persona Data, demographic data, countries traveled, and more.

    Companies use Unacast Consumer Data Enrichment for: - Understanding reach - Identity Graphs - Measuring campaign performance - Measuring return on advertising spend (ROAS) - Addressability - Audience creation - Psychographic analysis - Enhancing customer data - Personalization - Market research - Creating look-alike panels

    Make your customer data more powerful, illuminate data gaps, and understand the relationships between devices.

    Pricing can vary based on product, scope, region, etc. Reach out to us here to get more details on pricing.

  15. f

    People Data | Global |Reach - 900 Million Records for Comprehensive Consumer...

    • factori.ai
    Updated Dec 24, 2024
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    (2024). People Data | Global |Reach - 900 Million Records for Comprehensive Consumer Insights & Data Enrichment [Dataset]. https://www.factori.ai/datasets/people-data/
    Explore at:
    Dataset updated
    Dec 24, 2024
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    Global
    Description

    Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

    People Data Graph

    • Record Count: 900 Million
    • Capturing Frequency: Once per Event
    • Delivering Frequency: Once per Month
    • Updated: Monthly

    People Data

    Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

    Business Needs

    Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

  16. e

    Average household size of persons residing in family dwellings by date. ECP...

    • data.europa.eu
    • datos.gob.es
    unknown
    + more versions
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    Instituto Nacional de Estadística, Average household size of persons residing in family dwellings by date. ECP (API identifier: 60136) [Dataset]. https://data.europa.eu/data/datasets/urn-ine-es-tabla-t3-610-60136?locale=en
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Description

    Table of INEBase Average household size of persons residing in family dwellings by date. Quarterly. National. Continuous Population Statistics

  17. Global population by continent 2024

    • statista.com
    Updated Oct 1, 2024
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    Statista (2024). Global population by continent 2024 [Dataset]. https://www.statista.com/statistics/262881/global-population-by-continent/
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    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1, 2024
    Area covered
    World
    Description

    There are approximately 8.16 billion people living in the world today, a figure that shows a dramatic increase since the beginning of the Common Era. Since the 1970s, the global population has also more than doubled in size. It is estimated that the world's population will reach and surpass 10 billion people by 2060 and plateau at around 10.3 billion in the 2080s, before it then begins to fall. Asia When it comes to number of inhabitants per continent, Asia is the most populous continent in the world by a significant margin, with roughly 60 percent of the world's population living there. Similar to other global regions, a quarter of inhabitants in Asia are under 15 years of age. The most populous nations in the world are India and China respectively; each inhabit more than three times the amount of people than the third-ranked United States. 10 of the 20 most populous countries in the world are found in Asia. Africa Interestingly, the top 20 countries with highest population growth rate are mainly countries in Africa. This is due to the present stage of Sub-Saharan Africa's demographic transition, where mortality rates are falling significantly, although fertility rates are yet to drop and match this. As much of Asia is nearing the end of its demographic transition, population growth is predicted to be much slower in this century than in the previous; in contrast, Africa's population is expected to reach almost four billion by the year 2100. Unlike demographic transitions in other continents, Africa's population development is being influenced by climate change on a scale unseen by most other global regions. Rising temperatures are exacerbating challenges such as poor sanitation, lack of infrastructure, and political instability, which have historically hindered societal progress. It remains to be seen how Africa and the world at large adapts to this crisis as it continues to cause drought, desertification, natural disasters, and climate migration across the region.

  18. QuickFacts: Moscow city, Idaho

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Moscow city, Idaho [Dataset]. https://www.census.gov/quickfacts/fact/table/moscowcityidaho/LND110210
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Idaho, Moscow city
    Description

    U.S. Census Bureau QuickFacts statistics for Moscow city, Idaho. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  19. e

    Número de personas por región, edad, situación familiar y sexo. Año 2011 -...

    • data.europa.eu
    json
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    Statistikmyndigheten SCB - Statistiska centralbyrån, Número de personas por región, edad, situación familiar y sexo. Año 2011 - 2023 [Dataset]. https://data.europa.eu/data/datasets/https-statistikdatabasen-scb-se-dataset-tab4364?locale=es
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    jsonAvailable download formats
    Dataset authored and provided by
    Statistikmyndigheten SCB - Statistiska centralbyrån
    License

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

    Description

    Número de personas por región, situación familiar, edad, sexo y año

  20. Benin Población

    • knoema.es
    csv, json, sdmx, xls
    Updated Dec 16, 2024
    + more versions
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    Knoema (2024). Benin Población [Dataset]. https://knoema.es/atlas/Benin/Poblaci%C3%B3n
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    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2013 - 2024
    Area covered
    Benín
    Variables measured
    Población total, para ambos sexos
    Description

    14.080.072 (personas) in 2024. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. The values shown are midyear estimates.

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NVIDIA (2025). Nemotron-Personas [Dataset]. https://huggingface.co/datasets/nvidia/Nemotron-Personas
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Nemotron-Personas

nvidia/Nemotron-Personas

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Dataset updated
Jun 9, 2025
Dataset provided by
Nvidiahttp://nvidia.com/
Authors
NVIDIA
License

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

Description

Nemotron-Personas: Synthetic Personas Aligned to Real-World Distributions

A compound AI approach to personas grounded in real-world distributions

  Dataset Overview

Nemotron-Personas is an open-source (CC BY 4.0) dataset of synthetically-generated personas grounded in real-world demographic, geographic and personality trait distributions to capture the diversity and richness of the population. It is the first dataset of its kind aligned with statistics for names… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Personas.

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