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India's porverty reduced from 269 million to 172 million : World Bank

Indian wage =7450 INR
Chinese Wage =4287 Yuan

Help!!!

Who is earning more ?
I am Novice in economic affairs

Well come dear.

Purchasing power of UAN may be more than Indian rupee. so it can not be compared in such simplistic way.
 
That is true.

I am not saying we are awesome.. there is tons and tons work to be done to get some semblance to the system.

Things are so scary unorganized it may take ages to clean this up. Lots of people spend their energies corrupting and bypassing the system rather than working with it or bettering it. Rules and regulations are beautifully spelled out but very hard to follow or implement or held someone accountable for it.


We have the same problems In china, that is why you see so many crackdowns on corruption cases recently. For some Chinese, beating the system is a sign of capability, but all these are changing right now since Xi came to power.
 
So can I say that the majority of the labor force are in "informal sectors", whose income can be under reported, therefore, the poverty rate could be over reported?

Yes, majority of labor force are in informal sector and their income is under reported to not reported at all. If India had so much poverty as shown by stats we would not be having labor shortage. It is extremely difficult to get a plumber or an electrician (categorized as non-skilled) to come and fix things at home and most of the time you keep off fixing stuff in time because of unavailability or unaffordability of these guy. A lot of them outright refuse the job. This same scenario is seen even in farm sector, unavailability of farm labor.
 
Indian wage =7450 INR
Chinese Wage =4287 Yuan

Help!!!

Who is earning more ?
I am Novice in economic affairs

(Local currency converted to Dollars) * GDP nominal/GDP PPP will give you a dollar number to compare. You can call the number as PPP dollar.
 
What is the INR value in PPP dollar terms ?
Apply the same formula :)
(1/66)*2/7.5
(INR in dollars) * Indias nominal GDP in trillion/Indias PPP GDP in trillion

What this formula gives is essentially how many dollars will give you a particular amount of purchasing power in a country. If we assume one unit of purchasing power will buy x things(in any country), we are comparing how many dollars(or rather how much local currency. since we cannot compare local currencies directly we convert it into dollars and then compare them) will get you that much power in each country. I don't know the name of the standard term for this measure.
 
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We faked this data, so you should probably ignore it. From ILO.

Indian wage: 115 Dollars (2012)
Chinese wage: 676 Dollars (2013)

Regions and countries

International Labour Organization - Wikipedia, the free encyclopedia

Hi Gen long time no see!

I think on this topic let's stick to one standard, well it might not be perfect but at least we have a universal benchmark. Let's use World Bank, $1.90/day 2011 PPP, here you go the source ...
PovcalNet

Let's check latest reference year, 2012 is the latest available, then submit and see all countries. Let's check India, Pakistan & China.

Country; Poverty (%); Population (m)

China*; 6.47%; 1,350.7m

China-Rural; 12.98%; 649.83m
China-Urban; 0.42%; 700.86m

India*; 18.66%; 1,236.69m

India-Rural; 21.79%, 845.51m
India-Urban; 11.88%; 391.18m

Pakistan; 6.83%; 179.16m

Poverty is headcount as % of total pop which is also listed, these are compared on the same yardstick. For $1.90 2011 PPP definition, just check the site, it's available.

About PovalNet:

PovcalNet is an interactive computational tool that allows you to replicate the calculations made by the World Bank's researchers in estimating the extent of absolute poverty in the world. PovcalNet also allows you to calculate the poverty measures under different assumptions and to assemble the estimates using alternative country groupings or for any set of individual countries of the user’s choosing. PovcalNet is self-contained; it has reliable built-in software that quickly does the relevant calculations for you from the built-in database.
In October 2015, the World Bank released estimates of global poverty from 1981 to 2012 based on 2011 PPP. The new poverty estimates combine Purchasing Power Parity (PPP) exchange rates for household consumption from the 2011 International Comparison Program with data from more than one thousand household surveys across 131 developing countries, and 21 high income countries. Over two million randomly sampled households were interviewed for the 2012 estimate, representing 87 percent of the population of the developing world.

PovcalNet is the source of, and allows users to replicate, the Bank's official global, regional and internationally comparable country level poverty estimates published in the World Development Indicators, as well as the shared prosperity indices reported in the Global Monitoring Report. If you would like to duplicate the World Bank's regional poverty estimates please click the first button; or go to the second button to form your own group of countries. PovcalNet uses unit-record data whenever possible. For other cases, grouped distributions are used. New survey data become available to us on a continuous basis and these will be added to PovcalNet in regular updates.
PovcalNet is a product of the World Bank's research department, the Development Research Group. This version of PovcalNet software was designed by Qinghua Zhao. The global poverty monitoring database is managed by Shaohua Chen and Prem Sangraula, with assistance from Kihoon Lee and Liang Yu. Assembly of these data is undertaken under the auspices of the Global Poverty Working Group which brings together the PovcalNet team and country- and regional-level counterparts in the World Bank’s Poverty Global Practice, and which compiles country level data and assesses these for international comparability. Overall guidance is provided by Kaushik Basu, Senior Vice President and Chief Economist, Asli Demirgüç-Kunt, Director of Research, Development Economics, and Francisco H. G. Ferreira, Senior Advisor of Poverty and Inequality team in the Research Department. The founder of PovcalNet and former Director of Research, Martin Ravallion, provides continued oversight of the methodology adopted in PovcalNet. A great many colleagues at the World Bank have helped the team in obtaining the necessary data for PovcalNet. An important acknowledgement goes to the staff of over 100 governmental statistics offices that collected the primary household and price survey data. The Bank's Development Data Group has provided the 2011 consumption PPPs, population and other National Accounts data used here.

PovcalNet was developed for the sole purpose of public replication of the World Bank’s poverty measures for its widely used international poverty lines, including $1.90 a day and $3.10 a day in 2011 PPP. The methods built into PovcalNet are considered reliable for that purpose. However, we cannot be confident that the methods work well for other purposes, including tracing out the entire distribution of income. We would especially warn that estimates of the densities near the bottom and top tails of the distribution could be quite unreliable, and no attempt has been made by the Bank’s staff to validate the tool for such purposes.
 
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