The dataset contains All India Yearly Number and Percentage of Population Below Poverty Line from Handbook of Statistics on Indian Economy.

Context

This datasets contains data from RBI which is published annually and this data has different features such as

Column names and legends

2000-01-INC = Income of each state for the year 2001 2011-12-INC = Income of each state for the year 2011

2001 - LIT = Literacy rate of each state for the year 2001 2011- LIT = Literacy rate of each state for the year 2011

2001 - POP = Total population of each state for the year 2001 2011- POP = Total population of each state for the year 2011

2001 -SEX_Ratio = Sex_Ratio of the each state for the year 2001 2011 -SEX_Ratio = Sex_Ratio of the each state for the year 2011

2001 -UNEMP = Unemployment rate of the each state for the year 2001 2011 -UNEMP = Unemployment rate of the each state for the year 2011

2001 -Poverty = Poverty rate of the each state for the year 2001 2011 -Poverty = Poverty rate of the each state for the year 2001

Unemployment Rate - for a month is calculated using the following formula: The monthly estimations for India are calculated as a ratio of the total estimated unemployed persons in India to the total estimated labor force for a month

Poverty rate = A common method used to estimate poverty in India is based on the income or consumption levels and if the income or consumption falls below a given minimum level, then the household is said to be Below the Poverty Line

state's Income measured using state domestic product - is the total value of goods and services produced during any financial year within the geographical boundaries of a state

Literacy rate - Total number of literate persons in a given age group, expressed as a percentage of the total population in that age group. The adult literacy rate measures literacy among persons aged 15 years and above, and the youth literacy rate measures literacy among persons aged 15 to 24 years

Acknowledgements

I wouldn't be here without the help of my friends and people who read this post. I owe you thanks for this research.

Inspiration

here are pretty basic question but I would high appreciate the data scientist community for any deep insight of the data in plots Cheers!!

Objective of the study:

-Is state's income is based on the education of the state -Does literacy rate contribute any changes to poverty rate

Source of the Datasets

datasets link

if this found useful kindly up-vote cheers!!

Context

Every Politician lie but data doesn't. So I collected data of some of the important metrics of all the Indian States to check what is good and bad in all of them. The data is mostly scrapped from Wikipedia so it can be little bit inconsistent however, I will improve that in the subsequent versions.

Content

The contains the data about the metrics like HDI ( Human Development Index), Nominal GDP, Crime Rate, Percentage of population below poverty line and unemployment rate of all the states of India.

Acknowledgements

Most of the data is scrapped from Wikipedia so thanks to them for providing the data however I wish they improve their authenticity.

Inspiration

1. Feel free to play around the data, check where each state stands in all the metrics.
2. Try finding out why some states are top of some of the metrics, while at the bottom in others.
3. See if there's any correlation between different metrics. For example, One I am very interested to if there's any correlation between HDI and unemployment or HDI and nominal GDP or HDI and poverty.

BackgroundPeople with disabilities are vulnerable because of the many challenges they face attitudinal, physical, and financial. The National Policy for Persons with Disabilities (2006) recognizes that Persons with Disabilities are valuable human resources for the country and seeks to create an environment that provides equal opportunities, and protection of their rights, and full. There are limited studies on health care burden due to disabilities of various types.AimThe present study examines the socioeconomic and state-wise differences in the prevalence of disabilities and related household financial burden in India.MethodsData for this study was obtained from the National Sample Survey (NSS), 76th round Persons with Disabilities in India Survey 2018. The survey covered a sample of 1,18,152 households, 5,76,569 individuals, of which 1,06,894 of had any disability. This study performed descriptive statistics, and bivariate estimates.ResultsThe finding of the analysis showed that prevalence of disability of any kind was 22 persons per 1000. Around, one-fifth (20.32%) of the household’s monthly consumption expenditure was spent on out-of-pocket expenditure for disability. More than half (57.1%) of the households were pushed to catastrophic health expenditure due to one of the members being disabled. Almost one-fifth (19.1%) of the households who were above the poverty line before one of members was treated for disability were pushed below the poverty line after the expenditure of the treatment and average percentage shortfall in income from the poverty line was 11.0 percent due to disability treatment care expenditure.ConclusionThe study provides an insight on the socioeconomic differentials in out-of-pocket expenditure, catastrophic expenditure for treatment of any kind of disability. To attain SDG goal 3 that advocates healthy life and promote well-being for all at all ages, there is a need to recognize the disadvantaged and due to disability.