Progress in China, Bangladesh, and Vietnam. The Population Bomb, by Paul and Anne Ehrlich (1968), contributed to a widespread idea that Asia and Africa would never be able to feed their growing populations. The data on deaths from famines is from EM-DAT. The Peace Research Institute Oslo (PRIO) produces maps of conflicts and poverty.
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About the video
Explaining population growth requires simplification, but not oversimplification.
In this TED video, Hans Rosling explains why ending poverty – over the coming decades – is crucial to stop population growth. Only by raising the living standards of the poorest, in an environmentally-friendly way, will population growth stop at 9 billion people in 2050.
See which state of US has the highest unemployment rate over the last 3 decades.
See which state of US is the most attractive to foreign immigrants in 2005.
South was poorer, but not any longer
See development of all states of US from 1929 to 2006.
At the new documentation page you will find the documentation for the indicators compiled by Gapminder, including population. There you can also download an Excel-file that includes not only all the data, but also information on sources and estimation methods for each observation.
To the extent possible we have also used this information to give each observation one of these “data quality ratings”:
- Very Poor data quality – the population figure is based on guesstimates or rough extrapolations
- Poor data quality
- Fair data quality
- Good data quality
- Very Good data quality – the population figure is based on a rigourous census or equivalent
Continue reading “"Data quality" & documentation for Population added”
We have updated the indicator “population, total” so that it covers all countries and territories from 1800 to 2008. Population is by default used for the size of the bubbles in Gapminder World.
With “all countries and territories” we mean all the 192 UN-member plus 61 other entities (e.g. semi-autonomous territories, former countries and disputed territories). This gives a total of 253 countries and territories.
This work rests heavily on the work of Angus Maddison and is, to our knowledge, the most complete data set for population, containing over 20.000 observations. To the extent possible, we have also included meta-data for each observation with information on sources and estimation methods. Where possible, we have also included a quality rating of the observations, of which more of in the following blog-post.
Note: some of the observations, especially the earlier ones, are based on very rough estimates or extrapolations. Please check the data quality rating of the observations, described in the next blog-post.
The indicator population has been updated and expanded to cover more countries and territories and a longer time span. It now covers 251 countries and territories, including all of the 192 UN member states. 205 of them have data going back to at least 1820 (and 51 goes back as far as 1600).
Furthermore, the documentation has been more systematic (the full documentation will be available in a few weeks).
NOTE: the unit has been changed from “1000 persons” to “number of persons”.
NOTE 2: some of the observations (particulary the earlier ones) is based on very rough estimates. See the (coming) documentation for details.