Search results
Results from the WOW.Com Content Network
GSDP is the sum of all value added by industries within each state or union territory and serves as a counterpart to the national gross domestic product (GDP). [1] As of 2011 [update] , the Government accounted for about 21% of the GDP followed by agriculture with 21% and corporate sector at 12%.
Indian States by GDP (Purchasing power parity) [1] Rank State/Union territory 2018-19 in Billion (USD) 1 Maharashtra: $1,353.831 2 Tamil Nadu: $820.652 3 Karnataka:
The economy of India is a developing mixed economy with a notable public sector in strategic sectors. [5] It is the world's fifth-largest economy by nominal GDP and the third-largest by purchasing power parity (PPP); on a per capita income basis, India ranked 141th by GDP (nominal) and 125th by GDP (PPP). [58]
The Indian government also raised its GDP growth outlook for fiscal year 2023-24 to 7.6% from 7.3% forecast earlier. ... The GDP data has boosted Prime Minister Narendra Modi’s economic record ...
This is a comparison between Indian states and countries by gross domestic product (PPP). Many of the states of India have large GDP (called gross state product ) which would rank highly on a list of countries by GDP.
[8] [1] [11] Among others, India has also experienced an economic boom since the implementation of economic liberalisation in the early 1990s. [ 12 ] The first list includes estimates compiled by the International Monetary Fund 's World Economic Outlook, the second list shows the World Bank 's data, and the third list includes data compiled by ...
The following is a list of the top 50 Metropolitan areas in India by their Nominal gross domestic product (GDP) and their contribution as % to their respective states. This list is based on Nominal GDP (Not to be confused with PPP).To Convert Nominal GDP to PPP use below formula. (Nominal GDP in INR)÷20.65 [1] [2]
CPHS is the brainchild of Mahesh Vyas. CMIE makes the anonymised unit level data from CPHS available to researchers. CMIE's primary databases have focused on the demand side of the Indian economy. [19] CMIE has built very very long time-series based on official data. These can be classified as its secondary databases.