Explore the World with Interactive Maps and Geography Facts
The Corruption Perceptions Index (CPI) is the most widely-used global corruption ranking in the world. But how is it calculated? What kinds of corruption does it cover? And why are certain countries not included? Watch this short explainer video or dive straight into the most frequently asked questions.
All clock changes worldwide are automatically taken into account and displayed in real-time as soon as you reload the page. Future changes are usually incorporated into our database before they take effect, so the map accurately reflects the current situation.
map of the world
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The Babylonian Map of the World (or Imago Mundi) is a Babylonian clay tabletwritten in the Akkadian language. Dated to no earlier than the 9th century BC (with a late 8th or 7th date being more likely), it includes a brief and partially lost textual description. The tablet describes the oldest known depiction of the known world. Ever since its discovery there have been a variety of divergent views on what it represents in general and about specific features in particular.[1]
The tablet consists of three parts: the world map, a text above the map, and a text on the back side of the tablet. It is not clear whether all three parts should be read as a single whole. Systematic differences between the texts suggest that the tablet may have been compiled from three separate documents.[7]
The text above the map[11] (11 lines) seems to describe part of the creation of the world by Marduk, the patron god of Babylon, who divided the primeval Ocean (the goddess Tiamat) and thus created Land and Sea. Of the Sea it says:
For technical reasons, you need to know the seed of your world to use Seed Map, unless, of course, you want to find a seed for a new world. If you're playing SSP, the app is able to fetch the seed from your savegame. Alternatively, you can use the /seed command ingame. In SMP, you can use the same command if you have sufficient rights. Otherwise, however, you're dependent on the server owner, who started the world and has access to the savegame and config files.
Below the seed and version, you can also choose the Minecraft dimension that you want to view (Overworld, Nether or End). This, and the version you use, will affect which features can be enabled. To toggle certain features, click on the icons in the features box just above the map.
map of the world with countries and capitals
map of the world showing continents and oceans
map of the world poster for kids
map of the world scratch off where you've been
map of the world puzzle for adults
map of the world black and white printable
map of the world canvas wall art
map of the world quilt pattern
map of the world coloring page
map of the world necklace pendant
map of the world in 1914 before ww1
map of the world according to different perspectives
map of the world by population density
map of the world with time zones and clocks
map of the world with latitude and longitude lines
map of the world with flags and names
map of the world with climate zones
map of the world with major cities and landmarks
map of the world with natural resources
map of the world with physical features labeled
map of the world during the cold war
map of the world showing tectonic plates and volcanoes
map of the world showing biomes and ecosystems
map of the world showing religions and beliefs
map of the world showing languages and dialects
map of the world showing hemispheres and equator
map of the world showing countries and their currencies
map of the world showing human development index
map of the world showing covid 19 cases and deaths
map of the world showing internet access and speed
map of the world before and after colonization
map of the world based on historical accuracy
map of the world based on projected sea level rise
map of the world based on gdp per capita
map of the world based on happiness index
map of the world based on life expectancy
map of the world based on military power
map of the world based on environmental impact
map of the world based on genetic diversity
map of the world based on coffee consumption
Hierarchical clustering analysis based on phylogenetic beta diversity (see Methods) indicates that the terrestrial world is divided into eight floristic realms, namely African, Australian, Novozealandic, Indo-Malesian, Neotropical, Chile-Patagonian, Holarctic and Saharo-Arabian realms (Fig. 1a). The African realm is closely related to the Indo-Malesian realm, the Australian realm is closely related to the Novozealandic realm, and the Neotropical realm is closely related to the Chile-Patagonian realm (Fig. 1b). The above realms are grouped into the Gondwanan super-realm. The Holarctic and Saharo-Arabian realms are grouped into the Laurasian super-realm. Within these eight realms, we further identified 16 floristic sub-realms (Fig. 1; also see Supplementary Table 1 for their names and Supplementary Fig. 1 for their relationships).
CANCER TODAY provides a suite of data visualization tools to explore estimates of the incidence, mortality, and prevalence of 36 specific cancer types and of all cancer sites combined in 185 countries or territories of the world in 2020, by sex and age group, as part of the GLOBOCAN project. Please note that:
The methods used to estimate the sex- and age-specific incidence rates of cancer in a specific country fall into the following broad categories, in order of priority: Rates projected to 2012 (38 countries)
Most recent rates available applied to the 2012 population (20 countries)
Estimated from national mortality data by modelling, using incidence mortality ratios derived from data recorded by country-specific cancer registries (13 countries)
Estimated from national mortality estimates by modelling, using incidence mortality ratios derived from data recorded by local cancer registries in neighbouring countries (9 European countries)
Estimated from national mortality estimates using modelled survival (32 countries)
Estimated as a weighted average of local rates (16 countries)
Estimated using the data from one cancer registry covering part of the country, which are treated as representative of the countrywide profile (11 countries)
Age/sex specific rates for all cancers combined were partitioned using data on the relative frequency of individual cancers, by age and sex (12 countries)
The rates are those of neighbouring countries or registries in the same area (33 countries)
Mortality Depending of the degree of detail and the accuracy of the national mortality data, one of the following six methods was used, in order of priority: Rates projected to 2012 (69 countries)
Most recent rates available applied to the 2012 population (26 countries)
Estimated as a weighted average of regional rates (1 country)
Estimated from national incidence estimates by modelling, using country-specific survival (2 countries)
Estimated from national incidence estimates by modelling, using country-specific survival (2 countries)
The rates are those of neighbouring countries or registries in the same area (3 countries)
The sources and methods used to estimate the global incidence and mortality in 2012, in addition to a brief description of the key results by cancer site and in 20 large areas of the world, can be found in Ferlay et al. (2015)a. A further assessment of the methods has also been described by Antoni et al. (2016)b.
At the global scale, the world population density map highlights the immense concentration of humanity in India and China. Both countries have a population of 1.4 billion, with India set to move ahead of China and reach 1.5 billion by 2030. While India has many of the world's largest cities, it retains a huge rural population of around 900 million people.
If we zoom in on India (click on links to focus the map), we can see the complexity of rural, peri-urban and urban landscapes, with thousands and thousands of villages, towns and cities in an intricate hierarchy. This is particularly the case along the Ganges plain in northern India, stretching nearly 2000km from just east of Delhi to Dhaka in Bangladesh. This is the world's largest agricultural region, supporting a population of around 450 million people in India and 120 million in Bangladesh.
In the last thirty years, China has undergone the largest process of urbanisation in history. This process has created several of the world's biggest megacity regions, mainly located on the coast, as the economic growth of these cities has been based on manufacturing for exports, business services, and increasingly high-technology industries. In the Pearl River Delta, Guangzhou, Shenzhen and Donguan have fused together to create a megacity region of 50m people (60m if Hong Kong and Macau are included). This 'Greater Bay Area' has grown from population of only 10m in 1980. A second megacity region is in the Yangtze River Delta, based around Shangai. Shanghai alone has a population of 28m, from a base of less than 7m in 1980.Another related form of megaregion comes from areas of dense agriculture that begin to urbanise with looser patterns of small scale industry. McGee first used the term desakota ("village-city") in relation to the incredible form of Java in Indonesia, with the densities of urban hinterlands greatly exceeding Western cities but with activity patterns remaining dispersed and linked to agriculture. Similar desakota patterns can be seen in Kolkata, Dhaka, Lahore, and increasingly in several regions of Sub-Saharan Africa including Nigeria and surrounding Lake Victoria, though with much diversity in each case.
Urban densities are linked to cultures of living, with regions such as Latin America, South Asia and East Asia noted for high density urban forms. Higher population densities are also more prevalent in the Global South, as countries with poorer transport infrastructure need to use housing more intensively. The highest density cities in the world are in South Asia and Africa, such as Mumbai, Dhaka, Cairo and Kinshasa (note this depends how density is measured- see the Analysis page).
Another important aspect of density is its relationship with travel demand and energy use. There are many examples of huge urban regions at very low densities, most evidently in the USA with metro regions such as Atlanta and Houston. Unsurprisingly these cities have the highest rates of transport energy use and carbon emissions in the world.
Different countries around the world have radically different settlement patterns. If we look at the USA, which is renowned for lower density suburban living, the bar chart of population by density class peaks at 1-2km2.
If you zoom in on the map, then city level statistics can be viewed. The city boundaries are defined using urban centres from the GHSL Settlement Model data. This city definition is based on land use (built-up area and population density) rather than political/administrative boundaries, and emphasises continuous urban regions. The world's largest city regions using this definition are shown below-
Some of the global patterns that appear in the fire maps over time are the result of natural cycles of rainfall, dryness, and lightning. For example, naturally occurring fires are common in the boreal forests of Canada in the summer. In other parts of the world, the patterns are the result of human activity. For example, the intense burning in the heart of South America from August-October is a result of human-triggered fires, both intentional and accidental, in the Amazon Rainforest and the Cerrado (a grassland/savanna ecosystem) to the south. Across Africa, a band of widespread agricultural burning sweeps north to south over the continent as the dry season progresses each year. Agricultural burning occurs in late winter and early spring each year across Southeast Asia.