Dataset Description: Worldometer Data Introduction This dataset contains detailed information on the population statistics of various countries, compiled from Worldometer. It includes demographic data such as yearly population changes, migration numbers, fertility rates, and urbanization metrics over multiple years.

Dataset Overview Total Entries: 4,104 Total Columns: 14 Columns Description country (object):

The name of the country. Example: 'India', 'China'. year (float64):

The year for which the data is recorded. Example: 2024, 2023. population (object):

The total population for the given year. Example: '1,441,719,852', '1,428,627,663'. yearly_change_pct (object):

The percentage change in population from the previous year. Example: '0.92%', '0.81%'. yearly_change (object):

The absolute change in population from the previous year. Example: '13,092,189', '11,454,490'. migrants (object):

The net number of migrants for the given year. Example: '-486,784', '-486,136'. median_age (object):

The median age of the population. Example: '28.6', '28.2'. fertility_rate (object):

The fertility rate for the given year. Example: '1.98', '2.00'. density_p_km2 (object):

The population density per square kilometer. Example: '485', '481'. urban_pop_pct (object):

The percentage of the population living in urban areas. Example: '36.8%', '36.3%'. urban_pop (object):

The total urban population for the given year. Example: '530,387,142', '518,239,122'. share_of_world_pop_pct (object):

The country's share of the world's population as a percentage. Example: '17.76%', '17.77%'. world_pop (object):

The total world population for the given year. Example: '8,118,835,999', '8,045,311,447'. global_rank (float64):

The global population rank of the country for the given year. Example: '1.0', '2.0'. Data Quality Missing Values:

Some columns have missing values which need to be handled before analysis. Columns with significant missing data: year, population, yearly_change_pct, yearly_change, migrants, median_age, fertility_rate, density_p_km2, urban_pop_pct, urban_pop, share_of_world_pop_pct, world_pop, global_rank. Data Types:

Most columns are of type object due to the presence of commas and percentage signs. Conversion to appropriate numeric types (e.g., integers, floats) is required for analysis. Potential Uses Demographic Analysis: Study population growth trends, migration patterns, and changes in fertility rates. Urbanization Studies: Analyze urban population growth and density changes over time. Global Ranking: Evaluate and compare the population statistics of different countries. Conclusion This dataset provides a comprehensive view of the world population trends over the years. Cleaning and preprocessing steps, including handling missing values and converting data types, will be necessary to prepare the data for analysis. This dataset can be valuable for researchers, demographers, and data scientists interested in population studies and demographic trends.

File Details Filename: worldometer_data.csv Size: 4104 rows x 14 columns Format: CSV Source Website: Worldometer Scraped Using: Scrapy

This dataset was obtained through web scraping from Worldometer, a website that provides real-time global statistics. The data was collected in September 2025.

Column Description

• Population: The total number of inhabitants of a country in a given year.
• Yearly Change (%): The percentage growth in population per year compared to the previous year.
• Net Change: The difference in the number of inhabitants added each year (in numbers, not percentages).
• Density (P/Km²): Population density, calculated as the number of people per square kilometer (people per km²).
• Land Area (Km²): The land area of a country in square kilometers (excluding water areas).
• Migrants (net): Net migration figures (immigrants minus emigrants). Positive → more people entering, Negative → more people leaving.
• Fertility Rate: The average number of children born to a woman throughout her lifetime.
• Median Age: The middle age of the population (half are younger than this number, half are older).
• Urban Population (%): The percentage of the population living in urban areas.
• World Share (%): The percentage of a country's population compared to the total world population.

Context

This dataset is a clean CSV file with the most recent estimates of the population of the countries according to Wolrdometer. The data is taken from the following link: https://www.worldometers.info/world-population/population-by-country/

Content

The data has been generated by websraping the aforementioned link on the 16th August 2021. Below is the code used to make CSV data in Python 3.8: import requests from bs4 import BeautifulSoup import pandas as pd url = "https://www.worldometers.info/world-population/population-by-country/" r = requests.get(url) soup = BeautifulSoup(r.content) countries = soup.find_all("table")[0] dataframe = pd.read_html(str(countries))[0] dataframe.to_csv("countries_by_population_2021.csv", index=False)

Acknowledgements

The creation of this dataset would not be possible without a team of Worldometers, a data aggregation website.

worldometers.info is ranked #7626 in US with 5.14M Traffic. Categories: . Learn more about website traffic, market share, and more!

Demographic data set of countries of the world (1955-2020). This dataset is created using Web Scraping technics on webpage: https://www.worldometers.info/population/.

Manually collected daily snapshots of worldometer COVID-19 data (since April 18)

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F128750%2F66baee67b3e35bf9656ff816e692527e%2Fsnapshot_worldometer_july4.png?generation=1593988535797227&alt=media" alt="">

Content

The dataset contains data about the numbers of tests, cases, deaths, serious/critical cases, active cases and recovered cases in each country for every day since April 18, and also contains the population of each country to calculate per-capita penetration of the virus

I've removed data from the "Diamond Princess" and "MS Zaandam" since they are not countries

Additionally, an auxiliray table with information about the fraction of the general population at different age groups for every country is added (taken from Wikipedia). This is specifically relevant since COVID-19 death rate is very much age dependent.

Acknowledgements

The people at "www.worldometers.info" collecting and maintaining this site really are doing very important work "https://www.worldometers.info/coronavirus/#countries">https://www.worldometers.info/coronavirus/#countries

Data about age structure for every country comes from wikipedia

Inspiration

It's possible to use this dataset for various purposes and analyses My goal will be to use the additional data about the number of tests performed in each country to estimate the true death and infection rates of COVID-19

This dataset, titled "Global COVID-19 Statistics - Jan 2025," contains the latest COVID-19 statistics collected from the Worldometer website on Jan 09, 2025. The data includes crucial metrics such as the total number of cases, deaths, recoveries, and active cases for countries around the world. The information is extracted from the comprehensive table provided by Worldometer, which is widely regarded as a reliable source for real-time coronavirus statistics. Source and Collection Date Source: Worldometer Coronavirus Page Date of Collection: Jan 09, 2025

Forecast Dataset of COVID19 from World Health Organization (WHO), Worldometers and Ministry of Health of Brazil)

The high sensitivity of COVID-19 and the need for high accuracy calculations necessitate collecting the required data sets from reliable sources. Thus, all information was collected and categorized from reputable sources such as WHO (World Health Organization) and worldometers site (www.worldometers.info). The worldometers site contains information such as daily mortality statistics, recovery, and newly confirmed cases. Research data including observation data is obtained from a collection of Iranian samples’ reports in three parts (i.e. death, confirmed and recovered). This countrywide daily information is confirmed by the WHO. It should be noted that the relevant data was collected between February 19 and May 16, 2020.

In this dataset we can find information related to the population of all the countries listed in the website Worldometers. The dataset is composed, among others, with information like Country, Total Cases, New Cases or TotalDeaths. The dataset was created with the idea to implement it in any project where this information could help to fight against Covid-19.

Estimated population data based on the latest United Nations Population Division estimates and http://www.worldometers.info/world-population/population-by-country/

In past 24 hours, Sweden, Europe had N/A new cases, N/A deaths and 18 recoveries.

These data files have been web scraped from https://www.worldometers.info/coronavirus using R. All information about column and datasets can be found on the worldometer website. Links to specific data files can be found in the "covid-19.R" file.

According to Cognitive Market Research, the global alcohol-based hand sanitizer market size is USD 2351.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 3.60% from 2023 to 2030.

North America held the major market of more than 40% of the global revenue with a market size of USD 940.5 million in 2023 and will grow at a compound annual growth rate (CAGR) of 1.8% from 2023 to 2030
Europe accounted for a share of over 30% of the global market size of USD 705.4 million
Asia Pacific held the market of more than 23% of the global revenue with a market size of USD 540.8 million in 2023 and will grow at a compound annual growth rate (CAGR) of 5.6% from 2023 to 2030
Latin America market of more than 5% of the global revenue with a market size of USD 117.6 million in 2023 and will grow at a compound annual growth rate (CAGR) of 3.0% from 2023 to 2030
Middle East and Africa held the major market of more than 2% of the global revenue with a market size of USD 47.02 million in 2023 and will grow at a compound annual growth rate (CAGR) of 3.3% from 2023 to 2030

Enhanced Focus on Hand Sanitization to Provide Viable Market Output

Consumer behavior has been significantly impacted by the global coronavirus outbreak, which has also encouraged consumers to improve their personal hygiene, especially their hand hygiene. 

As of February 23, 2022, approximately 43 million individuals worldwide have been infected by the coronavirus, with 6.5 million cases still active and 0.59 million deaths recorded, according to Worldometer.

Source-www.worldometers.info/coronavirus/coronavirus-death-toll/

France, Russia, the United States, and the United Kingdom are the nations most badly impacted. As a result, customers became alarmed by the rising number of virus-related deaths and began paying more attention to hand hygiene as a defense against getting sick. The World Health Organization, the Centers for Disease Control and Prevention, and medical professionals everywhere advise using hand sanitizers as well. They assert that applying an alcohol-based hand rub is one of the best defenses against the virus. The alcohol-based hand sanitizer market is currently growing because of this factor.

Increasing Consciousness and Governmental Efforts to Propel Market Growth

The public's increasing awareness of the importance of hand hygiene, sparked by government and health organization campaigns, is driving a notable increase in the alcohol-based hand sanitizer industry. Consumer demand for alcohol-based hand sanitizer has surged as a result of awareness of the product's critical role in stopping the transmission of infectious diseases. The market has had significant effects from the COVID-19 pandemic. The virus is extremely contagious, thus there is an immediate need for strong disinfection procedures. The alcohol-based hand sanitizer have become a popular and practical answer to this problem. Continuous market expansion is the outcome of the pandemic's indelible habit of alcohol-based hand sanitizer use in daily routines.

Key Dynamics of

Alcohol based Hand Sanitizer Market

Key Drivers of

Alcohol based Hand Sanitizer Market

Heightened Hygiene Awareness Following the Pandemic: The COVID-19 pandemic has profoundly altered consumer habits, establishing hand hygiene as a lasting priority in homes, workplaces, and public areas. Even after the pandemic, the consistent use of hand sanitizers has become ingrained in both personal and institutional practices. Alcohol-based hand sanitizers are especially favored due to their demonstrated efficacy in eliminating 99.9% of bacteria and viruses. Health organizations such as the WHO and CDC advocate for a minimum of 60% alcohol content in sanitizers, further supporting their utilization.

Increasing Utilization in Healthcare and Commercial Settings: Hospitals, clinics, laboratories, food service sectors, and corporate offices are adopting alcohol-based sanitizers as vital tools for infection control. Hand sanitizing stations have become a common feature in commercial buildings, transportation hubs, educational institutions, and retail centers. Institutional purchasers generally buy in bulk and favor alcohol-based formulations for their rapid action and comprehensive germ protection.

Robust Product Availability Across Distribution Channels: The extensive availability of alco...

This dataset is a three dimensional dataset in wich we analyze the evolution of some data related with COVID-19 along the time.

We analyse how a type of data behave along the time in the different countries.

In each csv, we have kind of varibale (Cases, recovered, deaths) by country and date (from 03/30 to 05/28).

So we have 5 time series by country: one for each kind of data.

The csv contais the information related with a kind of data, and are described by the other two dimensions: country and date.

We obtained this dataset scrapping Worldometers.

In past 24 hours, Finland, Europe had N/A new cases, N/A deaths and 17 recoveries.

In past 24 hours, Montserrat, North America had N/A new cases, N/A deaths and N/A recoveries.

In past 24 hours, Réunion, Africa had N/A new cases, N/A deaths and N/A recoveries.

Context

The 2019–20 coronavirus pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus first emerged in Wuhan, Hubei, China, in December 2019. On 11 March 2020, the World Health Organization declared the outbreak a pandemic. As of 11 March 2020, over 126,000 cases have been confirmed in more than 110 countries and territories, with major outbreaks in mainland China, Italy, South Korea, and Iran. More than 4,600 have died from the disease and 67,000 have recovered.

Content

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this data was scrapped from https://www.worldometers.info/coronavirus/.This data is solely for education purposes only.

Acknowledgements

This data is solely belongs to https://www.worldometers.info/coronavirus/. for licensing visit https://www.worldometers.info/licensing/

In past 24 hours, Iran, Asia had N/A new cases, N/A deaths and N/A recoveries.