Updated Gapminder World Poster 2015!

Thanks to all Gapminders on Facebook for feedback on the previous version!

We have updated the graph with the latest Life Expectancy numbers from IHME!

countries_health_wealth_2016_v15

Click here to download the PDF file. Suitable for print. This chart was produced in December 2016.

This chart shows the Life Expectancy and Income of 182 nations in the year 2015. Each bubble is a country. Size is population. Color is region.

It’s clear in this chart that there is are not two groups of countries. There is no developing vs. developed, rich vs. poor. Instead of labeling countries in two groups, we suggest using the 4 income levels marked on the chart. Remember that next year the countries may change their positions, so let’s not label them, but mention the levels in which they find themselves now.

No country on level 4 has really short life expectancy, and no country on level 1 have long life expectancy. Most people live in the middle, on levels 2 and 3. There are huge differences in life expectancy in the middle, depending on how income is used.

 

INTERACTIVE TOOL

You can find a free interactive version of this chart at www.gapminder.org/tools, in which you can play historic time series & compare other indicators.

 

DATA SOURCES

The chart shows last year’s numbers because it takes time for all countries to collect and publish the latest statistics.

LIFE EXPECTANCY: IHME – Institute for Health Metrics and Evaluation.

POPULATION: UN World Population Prospects: The 2015 Revision.

INCOME DATA: World Bank’s GDP per capita, PPP (constant 2011 international $), with a few additions by Gapminder. The x-axis uses a log-scale so that doubling incomes show the same distance on all levels.

INCOME LEVELS: Gapminder uses four income groups which roughly correspond to those used by the World Bank, with minor differences. The World Bank uses the indicator GNI per capita in US dollars, while Gapminder uses the indicator GDP per capita in PPP (constant 2011 international $).

 

CC LICENSE

Our posters are freely available under Creative Commons Attribution License. Please copy, share, modify, integrate and even sell them, as long as you mention ”Based on a free chart from www.gapminder.org”.

 

 

Gapminder World Poster 2015

Here is the new Gapminder World Poster showing the health and wealth of all countries in 2015!

UPDATE:
We have updated the graph with the latest Life Expectancy numbers from IHME!
See the update here

 

countries_health_wealth_2016_v8

Click here to download. Suitable for print. This chart was produced in September 2016.

This chart shows the Life Expectancy and Income of 182 nations in the year 2015. Each bubble is a country. Size is population. Color is region.

People live longer in countries with a higher GDP per capita. Or put differently; in countries with longer lives, GDP per capita is higher. The connection between health and wealth doesn’t tell us which comes first. But one thing is clear: there are not two groups of countries, despite what many people think. Dividing the countries into two groups, developing vs. developed, is extremely misleading.

Labels make it easier to talk about groups of countries. But the labels should be relevant. So we recommend using the 4 income levels marked on the top of the chart. It’s better practice to divide the world into 4 groups and it’s better to label the levels and not the countries, because next year the members in each group will change.

Notice how none of the countries on level 4 have really short life expectancy. And none of the countries on level 1 have long life expectancies. Most people live in countries on level 2 and 3, where there are huge differences in life expectancy. For example Vietnam and Nigeria are both on level 2. Most people live in middle income levels 2 and 3 where there is a wide range in lifespans, depending on differences in how the income is used to save lives.

INTERACTIVE TOOL

A free interactive version of this chart is available online at gapminder.org/tools, which lets you play historic time series & compare other indicators.

DATA SOURCES

The chart shows last year’s numbers because it takes time for all countries to collect and publish the latest statistics.

LIFE EXPECTANCY: IHME – Institute for Health Metrics and Evaluation.

POPULATION: UN World Population Prospects: The 2015 Revision.

INCOME DATA: World Bank’s GDP per capita, PPP (constant 2011 international $), with a few additions by Gapminder. The x-axis uses a log-scale so that doubling incomes show the same distance on all levels.

INCOME LEVELS: Gapminder uses four income groups which roughly correspond to those used by the World Bank, with minor differences. The World Bank uses the indicator GNI per capita in US dollars, while Gapminder uses the indicator GDP per capita in PPP (constant 2011 international $).

CC LICENSE

Our posters are freely available under Creative Commons Attribution License. Please copy, share, modify, integrate and even sell them, as long as you mention ”Based on a free chart from www.gapminder.org”.

 

Teacher’s guide: 200 years that changed the world

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Levels
Secondary school
Subjects
History, geography & social studies.

About the Lesson/Teacher’s guide

This teacher guide explains how you can use Gapminder World to lecture about global development from 1800 until today. For inspiration, you can watch a brief video-lecture with Hans Rosling here.

Key messages of the lecture

  • In 1800, income per person was low and life expectancy was very short in all countries.
  • Health is better everywhere today, even in the poorest countries.
  • Income is much higher in most, but not all, countries today.
  • The income and health gaps between countries are larger today.
  • Most people today live in “middle income” countries

Life Expectancy PowerPoint

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Levels
Secondary school
Subjects
History, geography & social studies.

About this PowerPoint

Life expectancy is a very important measure when we compare the health of different countries. However, students often misunderstand some of the characteristics of life expectancy. This PowerPoint presentation focuses on two of these characteristics:

  1. Life expectancy is an average. Most people live either much longer or much shorter than what the life expectancy indicates.
  2. When life expectancy is low, this is mostly due to a very high child mortality rate. Those that survive the dangers of childhood can expect to live to a relatively old age, even in countries with very low life expectancy.

To illustrate these points we display the expected life spans of five newborns in the African country of Burundi and five newborns in Sweden.

Download the PowerPoint as well as the Teacher’s guide (Word) to get going!

Life expectancy at birth updated and expanded

We have made an update of the indicator Life expectancy at birth.  To see this indicator together with Income per capita, follow this link.

The biggest change is that we now show this indicator for 155 countries back to 1800, although in most cases, the early estimates are based on a very rough model. This full dataset is not suitable for statistical analysis. Please consult the documentation for information about sources and data quality. A spreadsheet with detailed source information will be added later.

You can also see some tentative information about data quality in the graph, look for this under “For advanced users” -> “Data quality”, or use this link. Red is “very poor quality data” while blue is “very good quality data”. Read more about our data quality ranking in this previous blogpost.

Continue reading “Life expectancy at birth updated and expanded”

Life expectancy expanded

We have used some additional sources to add more data to the indicator “Life expectancy at birth”. You can now follow several European countries from the 19th century and India, Sri Lanka and USA from the beginning of the 20th century. Data for Taiwan, which has previously been missing for this indicator, is now available from 1928. See Taiwan almost catch up with Australia, in both life expectancy and income. Or follow Sweden for 206 years of health history, with decreasing infant mortality and increasing life expectancy, as income also increases (income is seen as bubble color in this example).

Access to the data and information on sources can always be found (for all indicators) by clicking the symbols next to the indicator name on the axis.

History of Karolinska Institutet

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A presentation about the history of Karolinska Institutet. Gapminder made a presentation to Hans Rosling for a presentation about the change of Head of Karolinska Institutet (in 2004 Hans Wigzell handed over to Harriet Wallberg-Henriksson).

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Tällberg Presentation, 2004

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A presentation comparing Sweden’s historic development in heath and income (1743 – 2004) in comparison with countries in 2004.

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