Russia is the largest country in the world by far, with a total area of just over 17 million square kilometers. After Antarctica, the next three countries are Canada, the U.S., and China; all between 9.5 and 10 million square kilometers. The figures given include internal water surface area (such as lakes or rivers) - if the figures were for land surface only then China would be the second largest country in the world, the U.S. third, and Canada (the country with more lakes than the rest of the world combined) fourth. Russia Russia has a population of around 145 million people, putting it in the top ten most populous countries in the world, and making it the most populous in Europe. However, it's vast size gives it a very low population density, ranked among the bottom 20 countries. Most of Russia's population is concentrated in the west, with around 75 percent of the population living in the European part, while around 75 percent of Russia's territory is in Asia; the Ural Mountains are considered the continental border. Elsewhere in the world Beyond Russia, the world's largest countries all have distinctive topographies and climates setting them apart. The United States, for example, has climates ranging from tundra in Alaska to tropical forests in Florida, with various mountain ranges, deserts, plains, and forests in between. Populations in these countries are often concentrated in urban areas, and are not evenly distributed across the country. For example, around 85 percent of Canada's population lives within 100 miles of the U.S. border; around 95 percent of China lives east of the Heihe–Tengchong Line that splits the country; and the majority of populations in large countries such as Australia or Brazil live near the coast.

The average for 2023 based on 196 countries was 656095 sq. km. The highest value was in Russia: 16376870 sq. km and the lowest value was in Monaco: 2 sq. km. The indicator is available from 1961 to 2023. Below is a chart for all countries where data are available.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

• Country: Name of the country.
• Density (P/Km2): Population density measured in persons per square kilometer.
• Abbreviation: Abbreviation or code representing the country.
• Agricultural Land (%): Percentage of land area used for agricultural purposes.
• Land Area (Km2): Total land area of the country in square kilometers.
• Armed Forces Size: Size of the armed forces in the country.
• Birth Rate: Number of births per 1,000 population per year.
• Calling Code: International calling code for the country.
• Capital/Major City: Name of the capital or major city.
• CO2 Emissions: Carbon dioxide emissions in tons.
• CPI: Consumer Price Index, a measure of inflation and purchasing power.
• CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
• Currency_Code: Currency code used in the country.
• Fertility Rate: Average number of children born to a woman during her lifetime.
• Forested Area (%): Percentage of land area covered by forests.
• Gasoline_Price: Price of gasoline per liter in local currency.
• GDP: Gross Domestic Product, the total value of goods and services produced in the country.
• Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
• Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
• Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
• Largest City: Name of the country's largest city.
• Life Expectancy: Average number of years a newborn is expected to live.
• Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
• Minimum Wage: Minimum wage level in local currency.
• Official Language: Official language(s) spoken in the country.
• Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
• Physicians per Thousand: Number of physicians per thousand people.
• Population: Total population of the country.
• Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
• Tax Revenue (%): Tax revenue as a percentage of GDP.
• Total Tax Rate: Overall tax burden as a percentage of commercial profits.
• Unemployment Rate: Percentage of the labor force that is unemployed.
• Urban Population: Percentage of the population living in urban areas.
• Latitude: Latitude coordinate of the country's location.
• Longitude: Longitude coordinate of the country's location.

Potential Use Cases

• Analyze population density and land area to study spatial distribution patterns.
• Investigate the relationship between agricultural land and food security.
• Examine carbon dioxide emissions and their impact on climate change.
• Explore correlations between economic indicators such as GDP and various socio-economic factors.
• Investigate educational enrollment rates and their implications for human capital development.
• Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
• Study labor market dynamics through indicators such as labor force participation and unemployment rates.
• Investigate the role of taxation and its impact on economic development.
• Explore urbanization trends and their social and environmental consequences.

Data Source: This dataset was compiled from multiple data sources

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The statistic shows the largest countries in South America, based on land area. Brazil is the largest country by far, with a total area of over 8.5 million square kilometers, followed by Argentina, with almost 2.8 million square kilometers.

The dataset contains year- and country-wise area, production and yield of different types of fruits produced by major fruit producing countries in the world

Dataset

This dataset was created by sagar chadha

Released under CC0: Public Domain

Contents

The data shows the year-wise Area, Population, Gross domestic product(GDP), Gross domestic product per capita income at current price, Gross domestic product based on Purchasing-Power-Parity(PPP) valuation of country GDP over the time period of six years from 2010 to 2015.

Column description | Dataset Glossary (Column-Wise)

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Country Name :Country name Country Code :Country Code Capital :Capital of the country Continent :Continent Area (km²) :Area of the country (km²) Population Density (per km²) :Population Density of the country (per km²) Population Growth Rate :Population Growth Rate of the country World Population Percentage :World Population Percentage Population Rank :Population Rank Forest Area 1990 :Forest coverage recorded in 1990 (% of land area) Forest Area 1991 :Forest coverage recorded in 1991(% of land area) Forest Area 1992 :Forest coverage recorded in 1992(% of land area) Forest Area 1993 :Forest coverage recorded in 1993(% of land area) Forest Area 1994 :Forest coverage recorded in 1994(% of land area) Forest Area 1995 :Forest coverage recorded in 1995(% of land area) Forest Area 1996 :Forest coverage recorded in 1996(% of land area) Forest Area 1997 :Forest coverage recorded in 1997(% of land area) Forest Area 1998 :Forest coverage recorded in 1998(% of land area) Forest Area 1999 :Forest coverage recorded in 1999(% of land area) Forest Area 2000 :Forest coverage recorded in 2000(% of land area) Forest Area 2001 :Forest coverage recorded in 2001(% of land area) Forest Area 2002 :Forest coverage recorded in 2002(% of land area) Forest Area 2003 :Forest coverage recorded in 2003(% of land area) Forest Area 2004 :Forest coverage recorded in 2004(% of land area) Forest Area 2005 :Forest coverage recorded in 2005(% of land area) Forest Area 2006 :Forest coverage recorded in 2006(% of land area) Forest Area 2007 :Forest coverage recorded in 2007(% of land area) Forest Area 2008 :Forest coverage recorded in 2008(% of land area) Forest Area 2009 :Forest coverage recorded in 2009(% of land area) Forest Area 2010 :Forest coverage recorded in 2010(% of land area) Forest Area 2011 :Forest coverage recorded in 2011(% of land area) Forest Area 2012 :Forest coverage recorded in 2012(% of land area) Forest Area 2013 :Forest coverage recorded in 2013(% of land area) Forest Area 2014 :Forest coverage recorded in 2014(% of land area) Forest Area 2015 :Forest coverage recorded in 2015(% of land area) Forest Area 2016 :Forest coverage recorded in 2016(% of land area) Forest Area 2017 :Forest coverage recorded in 2017(% of land area) Forest Area 2018 :Forest coverage recorded in 2018(% of land area) Forest Area 2019 :Forest coverage recorded in 2019(% of land area) Forest Area 2020 :Forest coverage recorded in 2020(% of land area)

Content

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In this Dataset, We have forest cover area data recorded from 1990 to 2020 for every Country/Territory in the world. Along with dataset contains different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc.

Acknowledgement

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This Dataset is created from https://data.worldbank.org/ If you want to learn more, you can visit the Website.

Cover Photo by: https://www.istockphoto.com/

The smallest country in the world is Vatican City, with a landmass of just **** square kilometers (0.19 square miles). Vatican City is an independent state surrounded by Rome. Vatican City is not the only small country located inside Italy. San Marino is another microstate, with a land area of ** square kilometers, making it the fifth-smallest country in the world. Many of these small nations have equally small populations, typically less than ************** inhabitants. However, the population of Singapore is almost *** million, and it is the twentieth smallest country in the world with a land area of *** square kilometers. In comparison, Jamaica is almost eight times larger than Singapore, but has half the population.

The average for 2023 based on 194 countries was 31.6 percent. The highest value was in Suriname: 94.4 percent and the lowest value was in Egypt: 0 percent. The indicator is available from 1990 to 2023. Below is a chart for all countries where data are available.

The dataset contains year- and country-wise area, production and yield of different types of vegetables produced by major vegetable producing countries in the world

Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

Content In this Dataset, we have Historical Population data for every Country/Territory in the world by different parameters like Area Size of the Country/Territory, Name of the Continent, Name of the Capital, Density, Population Growth Rate, Ranking based on Population, World Population Percentage, etc.

Dataset Glossary (Column-Wise) Rank: Rank by Population. Country Code: 3 Digit Country/Territories Code. Country/Territories: Name of the Country/Territories. Capital: Name of the Capital. Continent: Name of the Continent. 2023 Population: Population of the Country/Territories in the year 2023. 2022 Population: Population of the Country/Territories in the year 2022. 2021 Population: Population of the Country/Territories in the year 2021. 2020 Population: Population of the Country/Territories in the year 2020. 2015 Population: Population of the Country/Territories in the year 2015. 2010 Population: Population of the Country/Territories in the year 2010. 2000 Population: Population of the Country/Territories in the year 2000. Area (km²): Area size of the Country/Territories in square kilometer. Density (per km²): Population Density per square kilometer. Growth Rate (2023): Population Growth Rate by Country/Territories in 2023. World Population Percentage (2023): The population percentage by each Country/Territories in 2023.

Algeria is the biggest country in Africa, with an area exceeding 2.38 million square kilometers as of 2020. The Democratic Republic of the Congo and Sudan follow with a total area of around 2.34 million and 1.88 million square kilometers, respectively. On the other hand, Seychelles is the smallest country on the continent, with an area of only 460 square kilometers. Overall, Africa’s total area exceeds 30 million square kilometers, being the second largest continent in the world after Asia. Nigeria and Ethiopia lead the ranking of the most populated countries in Africa.

How have the African countries been formed?

The political geography of Africa has been influenced by its colonial history. Between the 19th and 20th Century, the European colonizers have divided up Africa. The partition of the territories was merely driven by strategic purposes: Borders between countries were artificially created in the absence of a geographic border. Following the decolonization, most countries gained their independence in the second half of the 1900s. The newest country in Africa is South Sudan, which became independent in 2011.

Africa's physical geography

Geographically, the African continent is mostly constituted by plains and tablelands. Inner plateaus are prevalent in the sub-Saharan region. In the center-north, the arid Sahara Desert extends for around nine million square kilometers, being the largest subtropical desert in the world. The continent also has some of the biggest water basins worldwide, namely the Nile, Congo, and Niger rivers. East Africa has, instead, the highest summit on the continent, the Kilimanjaro. Peaking at 5,895 meters, the mountain dominates Tanzania’s landscape and attracts thousands of climbers each year.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks in the MTS for locating special features and to help enumerators during field operations. Some of the more common landmark types include airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau adds landmark features to MTS on an as-needed basis and does not ensure that all instances of a particular feature are included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark shapefile does not include military installations or water bodies because they appear in their own separate shapefiles, mil.shp and areawater.shp respectively.

The dataset contains region- and country-wise globally compiled data on the number of plant species which are in the red list category, as per International Union of Conservation of Nature (IUCN). The different types of red list categories of species covered in the dataset include species which are extinct, extinct in the wild, critically endangered (possibly extinct), critically endangered (possibly extinct in the wild), endangered, vulnerable, lower risk/conservation dependent, near threatened, etc.

Data in table tells us about the year-wise state wise recorded forest area of the country. It specifies the Total Forest Area, Reserved Forest area, Protected Forest area and Unclassified Forest area. Data for 2007 not available.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Dear Kagglers. Dataset contains three csv files , 1st file for Commercial vehicles sales across countries from 2019 to 2023 2nd file for Commercial vehicles sales across countries from 2019 to 2023 3rd file for combined data of above two files. Feel free to ask questions , if you Need any specific type of data let me know i will upload.

Global Arable Land Area Share by Country (Hectares), 2023 Discover more data with ReportLinker!