Monday, 15 September 2014

Suicide notes

From a recent report titled 'Preventing suicide: A global imperative', authored by the World Health Organization:
These numbers are from 172 WHO Member States with populations of 300,000 or more. These estimates represent the best estimates of WHO, computed using standard categories, definitions and methods to ensure cross-country comparability, and may not be the same as official national estimates. The estimates are rounded to the appropriate number of significant figures.

Compare them to what they were in 2000 with the map below.

Exactly 50 of the 172 countries saw an increase in suicide rate per 100,000 people between 2000 and 2012. Of them, the top 10 were South Korea, Bolivia, Suriname, Angola, Turkmenistan, Montenegro, Burundi, Cyprus, Malawi and Equatorial Guinea.

The WHO concedes that the numbers reported here may not be the same as national estimates, which means the efficacy and/or methodology of federal methods to register cases of suicide could vary from country to country. The report maps this variation out. As you can see, almost all of Africa has unreliable data; Middle East countries with autocratic governments and western South American nations have vital registration systems in place; and, surprisingly, most of South East Asia has only sample registration of data - at least probably because of logistical issues in heavily populated India and China.



From the report, again:
There are several important caveats that need to be considered when evaluating these suicide mortality data. Of the WHO 172 Member States for which estimates were made, only 60 have good-quality vital registration data that can be used directly to estimate suicide rates. The estimated suicide rates in the other 112 Member States (which account for about 71% of global suicides) are necessarily based on modelling methods. As might be expected, good quality vital registration systems are much more likely to be available in high-income countries. The 39 high-income countries with good vital registration data account for 95% of all estimated suicides in high-income countries, but the 21 LMICs [low- and middle-income countries] with good vital registration data account for only 8% of all estimated suicides in LMICs.
For India-specific data, there is a report from 2012 from the office of the Registrar General of India, which estimates that 134,600 killed themselves in that year - a value that a study in The Lancet pegs at 187,000. Either way: an image from this study shows which states have the highest suicide rates (ASR = age-standardized suicide death rate per 100,000 people) by gender.



While 75% of the world's suicides occur in LMICs, most of India's suicides seem to be happening in the better-off southern states.

Saturday, 30 August 2014

Counting (war)heads



On a map of where the warheads are supposedly deployed. Note: In northwest India, India and Pakistan seem to have a or some warheads in the same location. That location is Punjab, and Google Maps has plotted the Pakistani side of Punjab on the Indian side. Another curious datapoint is Amur, France, where apparently a Russian warhead rests.

Wednesday, 6 August 2014

Female parliamentarians

Visit my blog for more on this.

Wealth and religion

Tirupati's biggest sources of income

Its other sources of income:

In the world at large, religion and wealth share a negative relationship. Specifically, countries with higher GDP have lower religiosity. See here for more.

Saturday, 2 August 2014

The Big Mac Index

Data available here - thanks to The Economist.

"The difference between the price predicted by the [black line at '0'] for each country, given its income per person, and its actual price gives a supersized measure of currency under- and over-valuation."



Price of a Big Mac in the local currency

India


China


Wednesday, 23 July 2014

Data from the NASA Exoplanet Archive

All data is of exoplanets discovered using the transit technique. To place this information in context, read 'Kepler data reveals a frost giant'.

Orbital period v. orbital inclination

Orbital eccentricity v. orbital period

Monday, 21 July 2014

Civilian airliner shootdowns

Datapoints sized according to fatalities. Label next to each datapoint shows crash site. Data from Wikipedia.

Tuesday, 15 July 2014

Friday, 11 July 2014

Ambient pollution in Indian cities

Data from Global Health Observatory, WHO. 'PM' stands for 'particulate matter'. PM10 denotes density of particles less than 10 microns across, 2.5 denotes density of particles less than 2.5 microns across, in micrograms per meter-cubed. Values recorded in 2010-2013, and collated by the Global Health Observatory, WHO. Permalink to data.

Monday, 7 July 2014

CO2 emissions of 5 largest economies by GDP-PPP (2013, IMF), 1960-2010

Data available here (spreadsheet).



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