100+ datasets found
  1. World Population By Year

    • kaggle.com
    zip
    Updated Apr 2, 2024
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    Devyani Chavan (2024). World Population By Year [Dataset]. https://www.kaggle.com/datasets/devyanichavan/world-population-by-year
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    zip(922 bytes)Available download formats
    Dataset updated
    Apr 2, 2024
    Authors
    Devyani Chavan
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    World
    Description

    This dataset on Kaggle offers a historical look at global population growth, spanning from 1952 to 2023. The data is provided in billions, allowing you to analyze trends and track humanity's population increase over the past seven decades.

    What's included:

    • Year: Identifies the specific year for each data point.
    • Population (Billions): Represents the global population in billions of people for that corresponding year.

    Benefits of using this dataset:

    • Understand population trends: Analyze how the world's population has grown over time.
    • Informative for research: Useful for research projects in demographics, sociology, economics, and sustainability studies.
    • Data visualization potential: Create charts and graphs to visualize population growth patterns.
    • Freely available and reusable: Licensed under Creative Commons CC BY 3.0 IGO, allowing for broad use and attribution.

    Note: This dataset is licensed under Creative Commons CC BY 3.0 IGO. This means you can use, share, and adapt the data freely, as long as you provide attribution to the source.

  2. World data population

    • kaggle.com
    zip
    Updated Jan 12, 2024
    + more versions
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    Tanishq dublish (2024). World data population [Dataset]. https://www.kaggle.com/datasets/tanishqdublish/world-data-population
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    zip(14672 bytes)Available download formats
    Dataset updated
    Jan 12, 2024
    Authors
    Tanishq dublish
    License

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

    Area covered
    World
    Description

    Context The world's population has undergone remarkable growth, exceeding 7.5 billion by mid-2019 and continuing to surge beyond previous estimates. Notably, China and India stand as the two most populous countries, with China's population potentially facing a decline while India's trajectory hints at surpassing it by 2030. This significant demographic shift is just one facet of a global landscape where countries like the United States, Indonesia, Brazil, Nigeria, and others, each with populations surpassing 100 million, play pivotal roles.

    The steady decrease in growth rates, though, is reshaping projections. While the world's population is expected to exceed 8 billion by 2030, growth will notably decelerate compared to previous decades. Specific countries like India, Nigeria, and several African nations will notably contribute to this growth, potentially doubling their populations before rates plateau.

    Content This dataset provides comprehensive historical population data for countries and territories globally, offering insights into various parameters such as area size, continent, population growth rates, rankings, and world population percentages. Spanning from 1970 to 2023, it includes population figures for different years, enabling a detailed examination of demographic trends and changes over time.

    Dataset Structured with meticulous detail, this dataset offers a wide array of information in a format conducive to analysis and exploration. Featuring parameters like population by year, country rankings, geographical details, and growth rates, it serves as a valuable resource for researchers, policymakers, and analysts. Additionally, the inclusion of growth rates and world population percentages provides a nuanced understanding of how countries contribute to global demographic shifts.

    This dataset is invaluable for those interested in understanding historical population trends, predicting future demographic patterns, and conducting in-depth analyses to inform policies across various sectors such as economics, urban planning, public health, and more.

  3. T

    World Population Female Percent Of Total

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). World Population Female Percent Of Total [Dataset]. https://tradingeconomics.com/world/population-female-percent-of-total-wb-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    World
    Description

    Actual value and historical data chart for World Population Female Percent Of Total

  4. Data generation volume worldwide 2010-2029

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Data generation volume worldwide 2010-2029 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly. While it was estimated at ***** zettabytes in 2025, the forecast for 2029 stands at ***** zettabytes. Thus, global data generation will triple between 2025 and 2029. Data creation has been expanding continuously over the past decade. In 2020, the growth was higher than previously expected, caused by the increased demand due to the coronavirus (COVID-19) pandemic, as more people worked and learned from home and used home entertainment options more often.

  5. Total population worldwide 1950-2100

    • statista.com
    • feherkonyveloiroda.hu
    • +2more
    Updated Nov 19, 2025
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    Statista (2025). Total population worldwide 1950-2100 [Dataset]. https://www.statista.com/statistics/805044/total-population-worldwide/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world population surpassed eight billion people in 2022, having doubled from its figure less than 50 years previously. Looking forward, it is projected that the world population will reach nine billion in 2038, and 10 billion in 2060, but it will peak around 10.3 billion in the 2080s before it then goes into decline. Regional variations The global population has seen rapid growth since the early 1800s, due to advances in areas such as food production, healthcare, water safety, education, and infrastructure, however, these changes did not occur at a uniform time or pace across the world. Broadly speaking, the first regions to undergo their demographic transitions were Europe, North America, and Oceania, followed by Latin America and Asia (although Asia's development saw the greatest variation due to its size), while Africa was the last continent to undergo this transformation. Because of these differences, many so-called "advanced" countries are now experiencing population decline, particularly in Europe and East Asia, while the fastest population growth rates are found in Sub-Saharan Africa. In fact, the roughly two billion difference in population between now and the 2080s' peak will be found in Sub-Saharan Africa, which will rise from 1.2 billion to 3.2 billion in this time (although populations in other continents will also fluctuate). Changing projections The United Nations releases their World Population Prospects report every 1-2 years, and this is widely considered the foremost demographic dataset in the world. However, recent years have seen a notable decline in projections when the global population will peak, and at what number. Previous reports in the 2010s had suggested a peak of over 11 billion people, and that population growth would continue into the 2100s, however a sooner and shorter peak is now projected. Reasons for this include a more rapid population decline in East Asia and Europe, particularly China, as well as a prolonged development arc in Sub-Saharan Africa.

  6. T

    World - Population Ages 70-74, Male (% Of Male Population)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 13, 2018
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    TRADING ECONOMICS (2018). World - Population Ages 70-74, Male (% Of Male Population) [Dataset]. https://tradingeconomics.com/world/population-ages-70-74-male-percent-of-male-population-wb-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Mar 13, 2018
    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 1, 1976 - Dec 31, 2025
    Area covered
    World
    Description

    Population ages 70-74, male (% of male population) in World was reported at 2.5312 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population ages 70-74, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  7. N

    White Earth, ND Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). White Earth, ND Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in White Earth from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/white-earth-nd-population-by-year/
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    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
    White Earth, North Dakota
    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 White Earth 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 White Earth 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 White Earth was 93, a 0% decrease year-by-year from 2022. Previously, in 2022, White Earth population was 93, a decline of 4.12% compared to a population of 97 in 2021. Over the last 20 plus years, between 2000 and 2023, population of White Earth increased by 28. In this period, the peak population was 99 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 White Earth is shown in this column.
    • Year on Year Change: This column displays the change in White Earth 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 White Earth Population by Year. You can refer the same here

  8. Number of global social network users 2017-2028

    • statista.com
    • de.statista.com
    + more versions
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    Stacy Jo Dixon, Number of global social network users 2017-2028 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    How many people use social media?

                  Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.
    
                  Who uses social media?
                  Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
                  when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.
    
                  How much time do people spend on social media?
                  Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.
    
                  What are the most popular social media platforms?
                  Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.
    
  9. Global Population Dataset (2014–2024)

    • kaggle.com
    zip
    Updated Jan 20, 2025
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    Ankush Panday (2025). Global Population Dataset (2014–2024) [Dataset]. https://www.kaggle.com/datasets/ankushpanday1/global-population-dataset-20142024
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    zip(11990 bytes)Available download formats
    Dataset updated
    Jan 20, 2025
    Authors
    Ankush Panday
    License

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

    Description

    This dataset provides population data for all 195 recognized countries over a span of 11 years (2014–2024). Each country's population is projected using a base population from 2014 and realistic annual growth rates ranging between 0.5% and 3%. This dataset is ideal for demographic studies, trend analysis, and data visualization.

    The population figures are simulated but based on reasonable assumptions about growth rates to ensure a realistic representation.

  10. T

    World Population Male

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 13, 2018
    + more versions
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    TRADING ECONOMICS (2018). World Population Male [Dataset]. https://tradingeconomics.com/world/population-male-wb-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Mar 13, 2018
    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 1, 1976 - Dec 31, 2025
    Area covered
    World
    Description

    Actual value and historical data chart for World Population Male

  11. World population by age and region 2024

    • statista.com
    • wvfg.org
    • +2more
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    Statista, World population by age and region 2024 [Dataset]. https://www.statista.com/statistics/265759/world-population-by-age-and-region/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

  12. g

    Population density - 2025

    • geofactbook.com
    html
    Updated Nov 4, 2025
    + more versions
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    Geo Factbook (2025). Population density - 2025 [Dataset]. https://geofactbook.com/fact/population-density/2025
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    htmlAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Geo Factbook
    License

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

    Time period covered
    2025
    Area covered
    Chad, Turkey, United States, Seychelles, Angola, Zimbabwe, Kyrgyzstan, Guinea, North Macedonia, Timor-Leste
    Variables measured
    Population density, Population density - Chad, Population density - Cuba, Population density - Fiji, Population density - Guam, Population density - Iran, Population density - Iraq, Population density - Laos, Population density - Mali, Population density - Niue, and 227 more
    Description

    Population density measures how many people live per square kilometer in a country, highlighting urbanization and resource distribution. Understanding this statistic is crucial for assessing living conditions, infrastructure needs, and environmental impact.

  13. d

    Permission - Global Survey Responses - Data-as-a-Service - 100% User...

    • datarade.ai
    Updated Oct 29, 2025
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    Permission (2025). Permission - Global Survey Responses - Data-as-a-Service - 100% User Consent, Verified by Humans [Dataset]. https://datarade.ai/data-products/permission-global-survey-response-data-100-user-consent-permission
    Explore at:
    .json, .csv, .geojsonAvailable download formats
    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    Permission
    Area covered
    Comoros, Bermuda, Bulgaria, Iceland, French Guiana, Faroe Islands, Oman, Somalia, Portugal, Russian Federation
    Description

    This data product is part of Permission’s data-as-a-service offering, designed to give businesses access to fully consented, high-quality datasets sourced directly from our user community. Every data point is gathered with clear opt-in through our platform and tools, ensuring accuracy, compliance, and transparency at every step.

    Description

    Permission’s data-as-a-service model enables organizations to access reliable, opted-in datasets tailored to their needs. All information is collected through explicit user consent using one of three pathways:

    Direct opt-in to share specific data signals.

    Custom surveys that gather structured responses across targeted groups.

    Aggregated behavioral data contributed by users who opt in to share their activity globally.

    This flexible data pipeline allows us to source everything from narrow, domain-specific signals to broad behavioral trends, depending on your use case. Each dataset is authenticated through Permission’s consent infrastructure, giving you confidence that the data is permissioned, privacy-compliant, and ready for responsible use.

    Our platform enables rapid configuration of new data collection workflows, scalable distribution to diverse audiences, and clear consent receipts for every participating user. Whether you need insights for modeling, enrichment, product development, or AI training, this listing delivers clean, opted-in data from real users who understand and approve how their information will be used.

    This dataset contains anonymized survey responses collected from verified users of the Permission Agent, a consent-based AI platform that rewards people for sharing zero-party data. Each response is provided by a real person, under explicit opt-in conditions, and recorded in compliance with global privacy standards (GDPR and CCPA).

    The surveys span multiple topics—brand awareness, purchase intent, entertainment habits, lifestyle choices, and emerging trends—making the dataset an ideal foundation for behavioral research and AI model training. Every record is verified, human-generated, and context-rich, allowing analysts to extract authentic consumer insights.

    Key Features

    100% user-consented survey data Global respondent coverage with demographic context Rich qualitative and quantitative responses Transparent provenance and reward-backed authenticity Regularly refreshed to ensure current market sentiment

    Use Cases

    Consumer sentiment and market research AI and ML model training for behavioral prediction Audience segmentation and product testing Enrichment for customer data and analytics systems

    Format and Access Data is available in CSV or JSON formats and can be integrated via secure API. Buyers can request one-time datasets or ongoing refreshes tied to new survey campaigns.

    Privacy and Compliance All respondents participate voluntarily and are rewarded with ASK tokens for their contribution. Each record is anonymized and compliant with data protection frameworks. Permission maintains verifiable consent logs, ensuring transparent provenance and ethical sourcing.

    This dataset is ideal for enterprises, research institutions, and AI developers seeking clean, verified, human-labeled survey data with full transparency and consent.

  14. Number of internet and social media users worldwide 2025

    • statista.com
    • abripper.com
    Updated Oct 16, 2025
    + more versions
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    Statista (2025). Number of internet and social media users worldwide 2025 [Dataset]. https://www.statista.com/statistics/617136/digital-population-worldwide/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most considerable usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

  15. n

    Coronavirus (Covid-19) Data in the United States

    • nytimes.com
    • openicpsr.org
    • +4more
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
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    Dataset provided by
    New York Times
    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  16. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Jul 13, 2022
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    Statista (2022). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Jul 13, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  17. d

    Johns Hopkins COVID-19 Case Tracker

    • data.world
    • kaggle.com
    csv, zip
    Updated Dec 3, 2025
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    The Associated Press (2025). Johns Hopkins COVID-19 Case Tracker [Dataset]. https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Dec 3, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 22, 2020 - Mar 9, 2023
    Area covered
    Description

    Updates

    • Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

    • April 9, 2020

      • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.
    • April 20, 2020

      • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.
    • April 29, 2020

      • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.
    • September 1st, 2020

      • Johns Hopkins is now providing counts for the five New York City counties individually.
    • February 12, 2021

      • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
      • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.
    • February 16, 2021

      - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

      Overview

    The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

    The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

    This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

    The AP is updating this dataset hourly at 45 minutes past the hour.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

    Queries

    Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

    Interactive

    The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

    @(https://datawrapper.dwcdn.net/nRyaf/15/)

    Interactive Embed Code

    <iframe title="USA counties (2018) choropleth map Mapping COVID-19 cases by county" aria-describedby="" id="datawrapper-chart-nRyaf" src="https://datawrapper.dwcdn.net/nRyaf/10/" scrolling="no" frameborder="0" style="width: 0; min-width: 100% !important;" height="400"></iframe><script type="text/javascript">(function() {'use strict';window.addEventListener('message', function(event) {if (typeof event.data['datawrapper-height'] !== 'undefined') {for (var chartId in event.data['datawrapper-height']) {var iframe = document.getElementById('datawrapper-chart-' + chartId) || document.querySelector("iframe[src*='" + chartId + "']");if (!iframe) {continue;}iframe.style.height = event.data['datawrapper-height'][chartId] + 'px';}}});})();</script>
    

    Caveats

    • This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
    • In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
    • In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
    • This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
    • Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
    • Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
    • The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

    Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

    Attribution

    This data should be credited to Johns Hopkins University COVID-19 tracking project

  18. T

    World Population Ages 25 29 Male Percent Of Male Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
    + more versions
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    TRADING ECONOMICS (2018). World Population Ages 25 29 Male Percent Of Male Population [Dataset]. https://tradingeconomics.com/world/population-ages-25-29-male-percent-of-male-population-wb-data.html
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 12, 2018
    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 1, 1976 - Dec 31, 2025
    Area covered
    World
    Description

    Actual value and historical data chart for World Population Ages 25 29 Male Percent Of Male Population

  19. Distribution of the global population by continent 2024

    • statista.com
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    Statista, Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  20. d

    Global Data Literacy Benchmark

    • datatothepeople.org
    Updated Aug 14, 2020
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    Data To The People (2020). Global Data Literacy Benchmark [Dataset]. https://www.datatothepeople.org/gdlb
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    Dataset updated
    Aug 14, 2020
    Dataset authored and provided by
    Data To The People
    Description

    Dataset enabling organizations to benchmark their data literacy capability globally.

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Devyani Chavan (2024). World Population By Year [Dataset]. https://www.kaggle.com/datasets/devyanichavan/world-population-by-year
Organization logo

World Population By Year

A Comprehensive World Population Dataset

Explore at:
zip(922 bytes)Available download formats
Dataset updated
Apr 2, 2024
Authors
Devyani Chavan
License

Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically

Area covered
World
Description

This dataset on Kaggle offers a historical look at global population growth, spanning from 1952 to 2023. The data is provided in billions, allowing you to analyze trends and track humanity's population increase over the past seven decades.

What's included:

  • Year: Identifies the specific year for each data point.
  • Population (Billions): Represents the global population in billions of people for that corresponding year.

Benefits of using this dataset:

  • Understand population trends: Analyze how the world's population has grown over time.
  • Informative for research: Useful for research projects in demographics, sociology, economics, and sustainability studies.
  • Data visualization potential: Create charts and graphs to visualize population growth patterns.
  • Freely available and reusable: Licensed under Creative Commons CC BY 3.0 IGO, allowing for broad use and attribution.

Note: This dataset is licensed under Creative Commons CC BY 3.0 IGO. This means you can use, share, and adapt the data freely, as long as you provide attribution to the source.

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