# data[].attributes.headline
Демографические пирамиды всех стран

# data[].attributes.subject
Демографические пирамиды всех стран

# data[].attributes.attachment_link.title
Population Pyramids of the World from 1950 to 2100

# data[].attributes.headline
Права женщин с арабском мире

# data[].attributes.subject
Права женщин с арабском мире

# data[].attributes.headline
Пирамида во времени

# data[].attributes.subject
Пирамида во времени

# data[].attributes.headline
Статистика рождаемости и смертности в режиме реального времени

# data[].attributes.subject
Статистика рождаемости и смертности в режиме реального времени

# data[].attributes.headline
Половой состав

# data[].attributes.subject
Половой состав

# data[].attributes.attachment_link.readable_text
Beatrice Lorenzin, the minister of health, has called Italy "a dying country"

But the outlook for the rest of and the West is not that different, especially in eastern Europe where World Bank data shows the average birth rate in central Europe and the Baltic countries is 12.6 per 1,000 people compared to 38 in sub-Saharan .

Despite a world population growth rate of 1.2 per cent - according to UN data from 2010, revised in 2012 - the West is seeing lower population rates, usually below 10 per cent and birth rates substantially lower compared to developing countries.

The problem is not new but the causes remain an issue in some parts of Europe including Spain and Greece. In August 2013, writing in the New York Times, Suzanne Daley and Nicholas Kulish said low birth rates related to the economic crisis and high unemployment:

Several recent studies show that historically high unemployment rates - in excess of 50 per cent among youths - in countries like Greece, Italy and Spain are further discouraging young people from having children."

This decline in some parts of the world affects society and politics, the CIA warned:

Countries with young populations (high percentage under age 15) need to invest more in schools, while countries with older populations (high percentage aged 65 and over) need to invest more in the health sector.

"The age structure also can be used to help predict potential political issues. For example, the rapid growth of a young adult population unable to find employment can lead to unrest."

For now, Europe's hope to see continued positive population growth remains in the hands of migrants, often younger and in search of a better life for themselves and their family.

(Note: The data used in this map comes mainly from the World Bank. The data for the population change percentages comes from 2013 numbers from the World Bank and the data for the birth rate comes from the World Bankand CIA Factbook.)

For more stories, like the Telegraph's Facebook page by clicking on the link below:

# data[].attributes.attachment_link.title
How Europe is slowly dying despite an increasing world population

# data[].attributes.attachment_link.description
This map shows how European countries' birth rate per 1,000 people are much lower than other countries across the world. Click on each country to find out the rate and the population growth percentage, according to data from World Bank and CIA

# data[].attributes.attachment_link.title
World Literacy Map: Literacy Rate Adult Total of People Ages 15 and Above

# data[].attributes.attachment_link.description
Percentage of a country's population that can read and write. Country's define literacy age between 7 and 20 years old. The standard age for literacy most countries is 15 years of age. Data Source: CIA. (2014) Literacy. World Factbook. ht

# data[].attributes.headline
Карта качества жизни

# data[].attributes.subject
Карта качества жизни

# data[].attributes.attachment_link.title
Ваш Индекс лучшей жизни

# data[].attributes.attachment_link.description
For this reason, indicators like assault and homicide rates can give an idea of the risks people face in a particular neighbourhood or community. In Japan, less than 2% of people reported falling victim to assault over the previous 12 months, one of the lowest rates across the OECD.

# data[].attributes.headline
Мировые миграции

# data[].attributes.subject
Мировые миграции

# data[].attributes.body
Интерактивная карта

# data[].attributes.attachment_link.readable_text
This map shows the estimated net immigration (inflows minus outflows) by origin and destination country between 2010 and 2015.

Blue circles = positive net migration (more inflows). Red circles = negative net migration (more outflows). Each yellow dot represents 1,000 people.

Hover over a circle to see that country's total net migration between 2010 and 2015. Click a circle (or tap the circle twice on mobile) to view only the migration flows in and out of that country.

Country-to-country net migration (2010-2015)
The data for this map comes from the U.N. Population Division, more information on how it was calculated at the bottom of the post.
Immigration: the new Godwin's Law

If you're not familiar with Godwin's law, it is an old internet adage that states, " As an online discussion grows longer, the probability of a comparison involving Nazism or Hitler approaches 1. "

Lately, I've found a similar principle applies to immigration. No matter what topic is being discussed online, if the conversation goes on for long enough, someone will inevitably tie it back to immigration.

Immigration has always been an important and frequently debated issue. And for many current events, the connection with immigration is clear, for example: terrorism / ISIS, the Brexit, Donald Trump and this year's presidential race, the refugee crisis. But at some point in the last year or two, I started noticing immigration being mentioned in connection with all sorts of topics I never would have expected.

To see what I mean, here are some of the topics I've posted about where immigration came up in discussion, either in the comment section of the post or on social media:

Why is immigration suddenly the cause / result / solution of everything? (Not meant rhetorically. If you have a good answer, I'd love to know.)

Who is migrating from where to where?

For a topic that comes up as often as immigration, I've found the debate to be really lacking in factual information. Hopefully this map is helpful is clearing up at least the simple, basic statistics: how many migrants are there? Where are they coming from? And where are they going?

Please keep in mind, these numbers are only estimates. You can find the full details of how they were calculated at the bottom of the post.

That said, here are a few of the pieces I found interesting.

Syria

Between 2010 and 2015, the net migration from Syria to Sweden was more than Syria's net migration to the rest of Europe and the Americas combined.

Many Middle Eastern countries have been criticized for allegedly accepting few Syrian refugees. In Qatar and the UAE, the net migration appears to actually be negative. Though of the Middle Eastern countries that are accepting Syrian refugees, the numbers they are dealing with are orders of magnitude higher than in the West.

The United Kingdom / Brexit

In the Brexit debate, the loudest arguments in favor of leaving the EU have been about immigration. What strikes me as interesting is how small a portion of the UK's net immigration is actually coming from Europe.

Australia

Australia, another country where immigration has become a highly charged political issue, jumps out as an interesting case.

By these estimates, Australia's net immigration is negative with every country in the world, except for a small positive immigration balance with Sudan. Australia is the only country in the world to have significant positive net immigration with the US.

United States

Last month, I posted a map visualizing 200 years of US immigration (inflows only). I would have liked to do the same with US emigration, which may be the more interesting direction since it is not nearly as well known. Unfortunately the US does not keep good emigration records and the best data I've managed to find goes back only a few decades. So, I don't foresee being able to make a historical US emigration map.

Still, I think it's pretty interesting to see what US net immigration flows look like in the present.

As mentioned above, according to these estimates, the US has significant positive net immigration with only one other country, Australia. The country with which the US has the largest negative net immigration is, perhaps unsurprisingly, Mexico. Though the amount by which Mexico leads is down substantially compared to a decade ago. Illegal immigration in particular has fallen off sharply, as demonstrated by this time series of border apprehensions from Pew Research.

When US immigration is viewed by region, the area that really stands out is Asia, which now accounts for just as much US immigration as North + South America (Mexico included).

Immigration between the US and Mexico is particularly complex, since it involves both legal and illegal immigration as well as temporary laborers, deportations, and a large number of people living in immigration detention facilities. For that reason, America's true net migration with Mexico is uncertain, and may actually be much lower than what's shown here. If you believe Pew's estimates, net migration with Mexico is now actually negative: more people are migrating from the US to Mexico than vice versa.

Immigration perceptions

Wherever you stand politically on immigration, you have to admit, it's pretty strange how rarely basic stats like these enter the debate. For all the discussion in the US about border fences and immigration limits, the simple question of "how many immigrants are there?" hardly ever even comes up.

Public opinion about immigration was likely a deciding factor in Britain's decision to exit the EU. And it may very well determine who becomes the next US president. Yet the majority of Brits and the majority of Americans misestimate the size of their country's immigrant population by a multiple.

The data for this map comes from the UN Population Division's estimates for Total Migrant Stock - the number of global migrants, broken down by country of residence and country of origin. The numbers are not fully consistent. In some cases, they represent foreign citizens and in others they represent foreign born. See the dataset itself for the full set of footnotes.

To convert those figures into immigration estimates, I took the difference between the migrant stock in 2015 and that in 2010. Since some of that difference is due to mortality, not immigration, I adjusted the 2010 numbers down assuming an annual mortality rate of 0.8%, the global average.

The map was made in Javascript using D3, three.js, and MapboxGL.

View the map as a Youtube video or embed the interactive version using the HTML below.
My latest project, Elementus, aims to bring transparency to the cryptocurrency market. Check out our blog for some crypto-related data visualizations.

# data[].attributes.attachment_link.title
All the World's Immigration Visualized in 1 Map

# data[].attributes.attachment_link.description
Facebook Twitter Google+ LinkedIn63.9KsharesThis map shows the estimated net immigration (inflows minus outflows) by origin and destination country between 2010 and 2015. Blue circles = positive net migration (more inflows). Red circles = negative net migration (more outflows). Each yellow dot represents 1,000 people.

# data[].attributes.headline
Миграционный прирост (убыль

# data[].attributes.subject
Миграционный прирост (убыль

# data[].attributes.headline
Виды миграция

# data[].attributes.subject
Виды миграция

# data[].attributes.headline
Средний возраст

# data[].attributes.subject
Средний возраст

# data[].attributes.headline
Религиозность

# data[].attributes.subject
Религиозность

# data[].attributes.headline
Размещение населения

# data[].attributes.subject
Размещение населения

# data[].attributes.body
по широте и долготе

# data[].attributes.headline
Соотношение мужчин и женщин

# data[].attributes.subject
Соотношение мужчин и женщин

# data[].attributes.headline
Трудовые ресурсы

# data[].attributes.subject
Трудовые ресурсы

# data[].attributes.headline
Возрастной состав

# data[].attributes.subject
Возрастной состав

# data[].attributes.body
2

# data[].attributes.headline
Возрастной состав

# data[].attributes.subject
Возрастной состав

# data[].attributes.body
1

# data[].attributes.headline
Запрет на аборты

# data[].attributes.subject
Запрет на аборты

# data[].attributes.headline
языковая семья

# data[].attributes.subject
языковая семья

# data[].attributes.headline
Половой состав

# data[].attributes.subject
Половой состав

# data[].attributes.headline
Демографическая политика

# data[].attributes.subject
Демографическая политика

# data[].attributes.headline
Карта рождаемости в странах мира.

# data[].attributes.subject
Карта рождаемости в странах мира.

# data[].attributes.body
на 1 женщину

# data[].attributes.headline
Типы воспроизводства населения

# data[].attributes.subject
Типы воспроизводства населения

# data[].attributes.headline
Динамика численности

# data[].attributes.subject
Динамика численности