100+ datasets found
  1. Bolivia: Alexa ranking of leading websites 2022, by daily page views

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bolivia
    Description

    Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

  2. Leading websites in the U.S. 2024, based on visit share

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). Leading websites in the U.S. 2024, based on visit share [Dataset]. https://www.statista.com/statistics/265770/most-popular-us-websites-by-market-share-of-visits/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    United States
    Description

    In March 2024, Google.com was the leading website in the United States. The search platform accounted for over 19 percent of desktop web traffic in the United States, ahead of second-ranked YouTube.com with 10.71 percent.

  3. Traces captured by visiting the top 1500 website

    • kaggle.com
    zip
    Updated Aug 25, 2021
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    DNS_dataset (2021). Traces captured by visiting the top 1500 website [Dataset]. https://www.kaggle.com/jacksontang16/traces-captured-by-visiting-the-top-1500-website
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    zip(5852806 bytes)Available download formats
    Dataset updated
    Aug 25, 2021
    Authors
    DNS_dataset
    Description

    Dataset

    This dataset was created by DNS_dataset

    Contents

  4. A

    ‘QS World University Rankings 2017 - 2022’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 1, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘QS World University Rankings 2017 - 2022’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-qs-world-university-rankings-2017-2022-7fc4/d793e726/?iid=007-103&v=presentation
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    Dataset updated
    Aug 1, 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 ‘QS World University Rankings 2017 - 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/padhmam/qs-world-university-rankings-2017-2022 on 13 February 2022.

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

    Context

    QS World University Rankings is an annual publication of global university rankings by Quacquarelli Symonds. The QS ranking receives approval from the International Ranking Expert Group (IREG), and is viewed as one of the three most-widely read university rankings in the world. QS publishes its university rankings in partnership with Elsevier.

    Content

    This dataset contains university data from the year 2017 to 2022. It has a total of 15 features. - university - name of the university - year - year of ranking - rank_display - rank given to the university - score - score of the university based on the six key metrics mentioned above - link - link to the university profile page on QS website - country - country in which the university is located - city - city in which the university is located - region - continent in which the university is located - logo - link to the logo of the university - type - type of university (public or private) - research_output - quality of research at the university - student_faculty_ratio - number of students assigned to per faculty - international_students - number of international students enrolled at the university - size - size of the university in terms of area - faculty_count - number of faculty or academic staff at the university

    Acknowledgements

    This dataset was acquired by scraping the QS World University Rankings website with Python and Selenium. Cover Image: Source

    Inspiration

    Some of the questions that can be answered with this dataset, 1. What makes a best ranked university? 2. Does the location of a university play a role in its ranking? 3. What do the best universities have in common? 4. How important is academic research for a university? 5. Which country is preferred by international students?

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

  5. Empirical Analysis of Ranking Models for an Adaptable Dataset Search:...

    • figshare.com
    zip
    Updated Jun 2, 2023
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    Angelo Batista Neves Júnior; Luiz André Portes Paes Leme; Marco Antonio Casanova (2023). Empirical Analysis of Ranking Models for an Adaptable Dataset Search: complementary material [Dataset]. http://doi.org/10.6084/m9.figshare.5620651.v4
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Angelo Batista Neves Júnior; Luiz André Portes Paes Leme; Marco Antonio Casanova
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    This repository contains performance measures of dataset ranking models.- Usage: from Results/src run Python results m1 m2 ...such that mi can be omitted, or be any element of the list of model labels ['bayesian-12C', 'bayesian-5L', 'bayesian-5L12C', 'cos-12C', 'cos-5L', 'cos-5L5C', 'j48-12C', 'j48-5L', 'j48-5L5C', 'jrip-12C', 'jrip-5L', 'jrip-5L5C', 'sn-12C', 'sn-5L', 'sn-5L12C']. Results of selected models will be plotted in a 2D line plot. If no model is provided all models will be listed.

  6. Evaluating the impact of design decisions on passive DNS-based domain...

    • zenodo.org
    • explore.openaire.eu
    application/gzip
    Updated Apr 30, 2024
    + more versions
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    Victor Le Pochat; Victor Le Pochat (2024). Evaluating the impact of design decisions on passive DNS-based domain rankings: ranking files (type: web, weighting: TTLBOUNDED, days: 1, dates: 16 December 2023-30 December 2023) [Dataset]. http://doi.org/10.5281/zenodo.11090933
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    application/gzipAvailable download formats
    Dataset updated
    Apr 30, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Victor Le Pochat; Victor Le Pochat
    License

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

    Description
  7. Storingen Site Ranking

    • esrinederland.hub.arcgis.com
    Updated Nov 11, 2022
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    Esri Nederland (2022). Storingen Site Ranking [Dataset]. https://esrinederland.hub.arcgis.com/datasets/55c2566604e246d397c166477b29393a
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    Dataset updated
    Nov 11, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Nederland
    Area covered
    Description

    Business Analyst Storingen Site Ranking Feature Service

  8. Leading websites in Denmark 2024, by session length

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). Leading websites in Denmark 2024, by session length [Dataset]. https://www.statista.com/statistics/1031082/ranking-of-leading-websites-in-denmark-by-time-per-visit/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Denmark
    Description

    In November 2024, YouTube.com was the most popular website in Denmark based on user engagement, with an average session length of 24 minutes and 48 seconds. Social network website Facebook.com came in second, with users spending approximately 15 minutes and 27 seconds on the platform. Google.com was ranked third with visitors spending an average of 14 minutes and eight seconds per session on the search platform.

  9. p

    Trends in Overall School Rank (2011-2022): External Sites

    • publicschoolreview.com
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    Public School Review, Trends in Overall School Rank (2011-2022): External Sites [Dataset]. https://www.publicschoolreview.com/external-sites-profile
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    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual overall school rank from 2011 to 2022 for External Sites

  10. m

    Global Ski Resort Rankings Dataset

    • data.mendeley.com
    • openicpsr.org
    • +1more
    Updated Sep 5, 2024
    + more versions
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    Teddie Tank (2024). Global Ski Resort Rankings Dataset [Dataset]. http://doi.org/10.17632/5thd2k26sz.1
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    Dataset updated
    Sep 5, 2024
    Authors
    Teddie Tank
    License

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

    Description

    A comprehensive dataset containing crowdsourced rankings of nearly all ski resorts worldwide. The dataset includes detailed information on each resort, such as location, snowfall, number of lifts and slopes, total slope length, and vertical drop. The dataset is updated regularly as more votes are collected.

  11. w

    Websites using Google Reviews Widget

    • webtechsurvey.com
    csv
    Updated Oct 27, 2020
    + more versions
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    WebTechSurvey (2020). Websites using Google Reviews Widget [Dataset]. https://webtechsurvey.com/technology/google-reviews-widget
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    csvAvailable download formats
    Dataset updated
    Oct 27, 2020
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Google Reviews Widget technology, compiled through global website indexing conducted by WebTechSurvey.

  12. e

    Businesss Site Suitability Analysis Results

    • gisinschools.eagle.co.nz
    Updated Jan 26, 2023
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    GIS in Schools - Teaching Materials - New Zealand (2023). Businesss Site Suitability Analysis Results [Dataset]. https://gisinschools.eagle.co.nz/documents/99a7fa3273e14934a6ea5df6abe9451e
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    Dataset updated
    Jan 26, 2023
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    This Excel Spreadsheet holds the rankings and final scores of the theatres after completing the suitability analysis. Within the spreadsheet you will find pages to show the rankings and final scores of the theatres for all the walking distances (5,10,15 minutes) to make it easier to complete your analysis. There are also pages to show the ranking and score of the theatres after adjusting the criteria. Use of this spreadsheet is optional and just gives another option to present the data in a form that may be easier for you to analyse.

  13. Almanac API - Ranking by Geography Type within a State

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Mar 11, 2021
    + more versions
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    National Telecommunication and Information Administration, Department of Commerce (2021). Almanac API - Ranking by Geography Type within a State [Dataset]. https://catalog.data.gov/dataset/almanac-api-ranking-by-geography-type-within-a-state
    Explore at:
    Dataset updated
    Mar 11, 2021
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    Description

    This API is designed to find the rankings by any geography type within the state with a specific census metric (population or household) and ranking metric (any of the metrics from provider, demographic, technology or speed). Only the top ten and bottom ten rankings would be returned through the API if the result set is greater than 500; otherwise full ranking list be returned.

  14. U.S. market share of leading social media websites 2025

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Stacy Jo Dixon (2025). U.S. market share of leading social media websites 2025 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F9711%2Ffacebook-statista-dossier%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Area covered
    United States
    Description

    In March 2025, Facebook accounted for 56 percent of all social media site visits in the United States, confirming its position as the leading social media website by far. Other social media platforms, despite their popularity, had to make do with smaller shares of visits across desktop, mobile, and tablet devices combined. Pinterest ranked second with 16.73 percent of all U.S. social media site visits, while X (previously Twitter) accounted for 11.73 percent of the total visits in the country. Additionally, the U.S. is home to the third largest social media audience worldwide. Facebook: mobile vs desktop usage At the beginning of 2022, around 81 percent of Facebook users across the globe were using the platform’s social networking services exclusively via mobile phone, while only 1.5 percent reported using their desktop or laptop devices. In September 2022, three Facebook Inc. products occupied some of the leading positions as most downloaded social networking apps on the Apple App Store in the United States. WhatsApp’s messaging platform ranked second with more than 1.9 million downloads, while Facebook and the instant-messaging service Messenger followed ranking third and fifth with 1,3 million and 1.03 million downloads respectively. Social media evolution Between 2012 and 2024, the daily time spent on social networks worldwide experienced an almost constant increase, with users reaching an average of 151 minutes per day in 2023, with a decrease to 143 daily minutes of engagement in 2024. However, users’ favorite platforms have changed since 2019, and the power balance appears to be shifting further from Facebook’s market dominance. Not only Facebook’s user growth rate is estimated to slow down in the next years, but users belonging to Generation Z appear to prefer video-first social platforms like Snapchat, TikTok, and YouTube.

  15. Most popular news websites in Argentina 2024, by number of unique visitors

    • ai-chatbox.pro
    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). Most popular news websites in Argentina 2024, by number of unique visitors [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F742172%2Fargentina-news-sites%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    Argentina
    Description

    In October 2024, Infobae gained the lead position in a ranking of the leading news websites in Argentina with 15.7 million unique visitors. La Nación, which garnered over 14.6 million unique visitors that month ranked second.

  16. S

    SEO Reporting Tool Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 5, 2025
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    Data Insights Market (2025). SEO Reporting Tool Report [Dataset]. https://www.datainsightsmarket.com/reports/seo-reporting-tool-1455468
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SEO reporting tools market is experiencing robust growth, driven by the increasing reliance on data-driven SEO strategies and the ever-evolving digital landscape. Businesses are increasingly recognizing the importance of accurate, comprehensive reporting to measure the effectiveness of their SEO campaigns and optimize their ROI. This demand fuels the adoption of sophisticated SEO reporting tools that provide detailed insights into website performance, keyword rankings, backlink profiles, and competitor analysis. The market's expansion is further propelled by advancements in AI and machine learning, which enhance the analytical capabilities of these tools, providing more accurate predictions and actionable recommendations. Key players like SEMrush, Ahrefs, and Moz are at the forefront of this innovation, constantly refining their offerings to meet the evolving needs of businesses of all sizes. The market segmentation includes tools catering to different budgets and expertise levels, ranging from basic website analysis tools to comprehensive enterprise-grade platforms. Regional variations exist, with North America and Europe currently dominating the market due to higher digital adoption rates and a greater concentration of businesses with robust online presences. However, growth is expected in Asia-Pacific and other emerging markets as digital transformation accelerates. The forecast period of 2025-2033 indicates continued expansion, with a projected Compound Annual Growth Rate (CAGR) that suggests a significant increase in market value over the next decade. Factors that might restrain growth include the increasing cost of advanced tools, the complexity of using some platforms, and the potential for market saturation as more competitors enter the space. However, ongoing innovation, integration with other marketing technologies, and the continuous need for businesses to improve their online visibility are anticipated to outweigh these challenges and sustain the market's upward trajectory. The competitive landscape is dynamic, with existing players constantly innovating and new entrants emerging. This competition benefits users, leading to greater affordability, improved features, and a wider selection of tools to meet diverse needs. The long-term outlook for the SEO reporting tools market remains positive, promising substantial growth opportunities for established players and new entrants alike.

  17. Web Analytics Market By Solution (Search Engine Tracking And Ranking, Heat...

    • verifiedmarketresearch.com
    Updated Nov 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Web Analytics Market By Solution (Search Engine Tracking And Ranking, Heat Map Analytics), By Application (Social Media Management, Display Advertising Optimization), By Vertical (Baking, Financial Services And Insurance (BFSI), Retail), And Region for 2026-2032 [Dataset]. https://www.verifiedmarketresearch.com/product/web-analytics-market/
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    Dataset updated
    Nov 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

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

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2032, growing at a CAGR of 18.58% from 2026 to 2032.

    Web Analytics Market Drivers

    Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

    E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

    Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

    analytics tools can be complex to implement and use, requiring technical expertise.

  18. N

    cities in Page County Ranked by Native American Population // 2025 Edition

    • neilsberg.com
    csv, json
    Updated Jan 24, 2025
    + more versions
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    Neilsberg Research (2025). cities in Page County Ranked by Native American Population // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/lists/cities-in-page-county-ia-by-native-american-population/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 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
    Iowa, Page County
    Variables measured
    Native American Population, Native American Population as Percent of Total Population of cities in Page County, IA, Native American Population as Percent of Total Native American Population of Page County, IA
    Measurement technique
    To measure the rank and respective trends, we initially gathered data from the five most recent American Community Survey (ACS) 5-Year Estimates. We then analyzed and categorized the data for each of the racial categories identified by the U.S. Census Bureau. Based on the required racial category classification, we calculated the rank. For geographies with no population reported for the chosen race, we did not assign a rank and excluded them from the list. It is possible that a small population exists but was not reported or captured due to limitations or variations in Census data collection and reporting. We ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories and do not rely on any ethnicity classification, unless explicitly required.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

    This list ranks the 12 cities in the Page County, IA by American Indian and Alaska Native (AIAN) population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

    Content

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

    • 2019-2023 American Community Survey 5-Year Estimates
    • 2018-2022 American Community Survey 5-Year Estimates
    • 2017-2021 American Community Survey 5-Year Estimates
    • 2016-2020 American Community Survey 5-Year Estimates
    • 2015-2019 American Community Survey 5-Year Estimates

    Variables / Data Columns

    • Rank by Native American Population: This column displays the rank of cities in the Page County, IA by their American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
    • cities: The cities for which the rank is shown in the previous column.
    • Native American Population: The Native American population of the cities is shown in this column.
    • % of Total cities Population: This shows what percentage of the total cities population identifies as Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
    • % of Total Page County Native American Population: This tells us how much of the entire Page County, IA Native American population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
    • 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

    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/.

  19. h

    CountryRepresentationRankings

    • huggingface.co
    Updated Jul 6, 2025
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    Connor T. Jerzak (2025). CountryRepresentationRankings [Dataset]. https://huggingface.co/datasets/cjerzak/CountryRepresentationRankings
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 6, 2025
    Authors
    Connor T. Jerzak
    License

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

    Description

    Country Representation Rankings

    Filename: CountryRepresentationRankings.csv This dataset is part of the Global Leadership Project (GLP) and presents a set of indices measuring how closely a country’s political leadership reflects the demographic characteristics of its population.

      Context
    

    The .csv source provides:

    Overall: An overall representation index. Higher (positive) scores suggest political leadership is more demographically similar to the general population… See the full description on the dataset page: https://huggingface.co/datasets/cjerzak/CountryRepresentationRankings.

  20. a

    South Carolina Ranked Cores

    • scgiplan-gicinc.hub.arcgis.com
    Updated Mar 6, 2023
    + more versions
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    GIC_INC (2023). South Carolina Ranked Cores [Dataset]. https://scgiplan-gicinc.hub.arcgis.com/maps/a00ef6673c2c40a2b54e16613c1cbddc
    Explore at:
    Dataset updated
    Mar 6, 2023
    Dataset authored and provided by
    GIC_INC
    Area covered
    Description

    GIC created the habitat cores model using the National Land Cover Database (NLCD) 2019 land cover data (the most recent land cover available when this project began). The NLCD provides nation-wide data on land cover and land cover change at the Landsat Thematic Mapper (TM) 30-meter resolution (30 x 30 meter pixels of analysis) and is appropriate for mapping rural landscapes.

    To be considered a habitat core, the native landscape must encompass more than 100 acres of intact area. This acreage standard is based on studies evaluating the minimum acreage for terrestrial species to survive and thrive. For example, interior forest dwelling birds such as cerulean warblers need 100 acres of interior forest habitat for adequate foraging and nesting habitats. Large, intact forest cores are less impacted by disturbances and can better support area-sensitive and extinction-prone species because they retain larger populations, and their habitat is less likely to degrade through time (Ewers et al 2006). Forest fragments or woodlands less than 100 acres (known as patches) were also mapped to aid in identification of corridors or pathways for species to migrate across the landscape. These fragments, while not ideal habitat for larger species, can provide quality refugia for some species. Fragments can act also act as stepping stones, allowing species to move across the landscape while minimizing their exposure to predators and other disturbances. Such 2019 NLCD landcover types as forests and wetlands were then evaluated to determine their intactness by identifying features that fragment them, such as roads, buildings, transmission corridors, large rivers, and so on. These features bisect the landscape into smaller units (see maps). If an area is bisected too often, it does not contain a large enough habitat area to support interior nesting species and thus is too small to function as a habitat core.

    To ensure that there is enough interior habitat, GIC’s analysts first subtract (clip out) the outer edge for a distance of 300 feet to ensure that potentially disturbed area is not counted as interior habitat. Edge areas are more likely to contain invasive species, suffer from wind impacts leading to dryness and blowdowns, and opportunistic predators such as domestic cats and dogs. In the final map of intact habitats, this edge area is added back in, but does not count towards the 100-acre minimum core size.The next step in the process is to divide the acreage into quintiles or “natural breaks.” This sorts the cores by size, which is the most important element for contributing to species abundance – bigger landscapes can generally support more species. However, there are other landscape factors that contribute to species abundance such as surface waters. Thus, in addition to geometry and extent, habitat cores are ranked based additional environmental attributes. Assigning attributes to each core allows for the identification and prioritization of specific high-quality and high-value habitat during strategy development. Not all habitats will be protected and resources for management or conservation are usually limited. Ranking habitat cores by their quality allows land-use planners, agency officials, and landowners or site managers to prioritize specific landscapes that provide the highest value for species.

    The rankings use landscape-based environmental and ecological attributes. Examples of environmental attribute data used to rank cores include the number of wetlands found within a core; the presence of rare, threatened or endangered species; species richness; soil diversity; the length of stream miles; and topography. These factors all influence the diversity of plants, insects, animals and other biota within a forest or even a wetland core. Core Ranking is represented in the Habitat Core layer. To access it, download the Habitat Core Layer and view the “Score Weight” attribute field.

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Statista (2025). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
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Bolivia: Alexa ranking of leading websites 2022, by daily page views

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Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Bolivia
Description

Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

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