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National Sample Survey 64th Round Insights into Datamining andevaluating factors for Sectoral growth
Agenda• To Data mine the NSS data for evaluating socio economic variables for understanding: – Education – Health – Employment and Income – Rural livelihoods and governance issues – Income and consumption – Sectoral growth driving State Domestic Product growth in Karnataka, Rajasthan, Uttarakhand, Chattisgarh and Madhya Pradesh
National Sample Survey- A Brief• NSSO has been conducting multi-subject integrated sample surveys since 1950.• Mainly four types • Household Surveys • Enterprise Surveys • Village Facilities • Land & Livestock holdings• There is a well defined cycle of the surveys extending over a period of 10 years.• The surveys are conducted through interviews of a representative sample of households selected randomly through a scientific design and cover almost the entire geographical area of India.
The Data Model Convert 8 text files into 7 levels Combine all states into 7 levels Combine 7 levels into one file
NSS 64th ROUND DATA MODEL LEVEL 2 LEVEL 3 LEVEL 1Common Items Common Items Centre code,Round,ShiftLevel Level FSU Serial numberFiller Filler RoundHH Size Person Srl No. State-RegionReligion Relation DistrictSocial Group Sex FOD Sub-RegionType of dwelling code Age hg/ sb NumberType of structure Marital Status Second Stage StratumMPCE(Rs. 0.00) General Education HHS No. Level Filler LEVEL 4Common ItemsLevelFillerItem CodeQuantity(0.000) LEVEL 7Value(Rs. in whole no.) Common ItemsSource Level Filler Item Code LEVEL 5 LEVEL 6 First-hand purchase:NumberCommon Items Common Items Whether hirepurchased?Level Level First-hand purchase:ValueFiller Filler Cost-raw material,service & repairItem Code Item Code 2nd-hand purchase:NumberQuantity(0.000) Quantity(0.000) 2nd-hand purchase:ValueValue(Rs. in whole no.) Value(Rs. in whole no.) Total expenditure
Social Contributors to well being• For many years, using a monetary measure like GDP per capita as a proxy for the population’s wellbeing made much sense, at least for developed countries.• The consensus on the use of GDP per capita as a good proxy measure of well-being is, however, becoming less obvious also for economists, as the more developed societies move from a situation of scarcity to a situation of plenty.• While the level and change in gross domestic product (GDP) per capita have long been used as the main yardstick for measuring and comparing living standards across countries, policy makers and citizens are concerned with much more than just GDP per capita.• An alternative measure of well being are social indicators.• Social indicators focus on observable outcomes in a variety of fields health, literacy, and poverty.
India’s Sex Ratio• The rise of boy child population in India for the past twenty years parallels the experience of other Asian Countries such as China and South Korea.• The new technology has aggravated the social problem of bias against girl child and continues to have caused the drastic reduction in the proportion of female children.• Indias sex ratio, among children aged 0-6 years, is alarming. The ratio has declined from 976 females (for every 1000 males) in 1961 to 914 in 2011.
Andaman and Nicobar District AnalysisAndaman and Nicobar District Analysis – 1-6 years female population State Code State Sector Age District Total Females35 Andaman & Urban 1 South Andaman 1556 Nicober35 Andaman & Urban 2 South Andaman 3307 Nicober35 Andaman & Urban 3 South Andaman 1857 Nicober35 Andaman & Urban 4 South Andaman 1611 Nicober35 Andaman & Urban 6 South Andaman 2327 Nicober
Andaman and Nicobar District AnalysisAndaman and Nicobar District Analysis – 1-6 years male population State Code State Sector Age District Total Males35 Andaman & Urban 1 South Andaman 536 Nicober35 Andaman & Urban 2 South Andaman 2223 Nicober35 Andaman & Urban 3 South Andaman 559 Nicober35 Andaman & Urban 4 South Andaman 525 Nicober35 Andaman & Urban 5 South Andaman 596 Nicober
Food and Non-Food Expenditure• Consumption is primarily of two types – lifeline and lifestyle. Lifeline may have further division into food and non-Food like medical, education, clothing etc. while lifestyle may include entertainment, processed food, white goods etc.• The level of MPCE has an inverse relationship to the proportion of food expenditure.• As the income of a household increases, they tend to spend a lower proportion on food even though the overall expenditure on food may rise.
Public Distribution System – A Brief• Public Distribution System [PDS] can be described as – an essential element of the Government’s safety net to the poor.• PDS mainly sells• Wheat/Atta• Rice• Sugar• Kerosene• The PDS in the country is functioning but needs further push to ensure door-to-door delivery and probably short term credit facilities to the Fair Price Shops [FPS].• The performance of PDS in certain states viz Rajasthan when compared to other main wheat consuming states in terms of offtakes as percent of allocation by the Central Government is the lowest.
The SEC System to analyze States• The new SEC system is used to classify households in India. It’s based on two variables: • Education of chief earner • Number of “consumer durables” ( from a predefined list)- owned by the family.• The list has 11 items ranging from ‘electricity connection’ and ‘agricultural land’- to cars and air conditioners.• We have analyzed states on the basis of their per capita expenditure on consumer durables.
MPCE V/S MPCI• The more you earn, more you have ability to spend.• The hypothesis was - MPCE would be highly correlated with MPCI(Monthly per capita Income)• We found that there is 84% correlation between both of them.
MPCE Vs Household Size• There exist a negative correlation between household size and average household consumer expenditure.• This means as household size decreases, the per capita household consumer expenditure increases.• MPCE is negatively correlated with Household Size.
Conclusion• Rajasthan: – With the average Literacy rate at 63%, Rajasthan with Literacy rate of 53% lies below the average and needs to improve on this metric. – Average MPCE of India is Rs. 955. MPCE of Rajasthan is Rs. 906. Rajasthan again lies below the average and can improve on this metric. – Rajasthan can improve it’s PDS also.
Conclusion• Karnataka: – In the Urban sector, the gender ratio for 1-6 years is 855 females to 1000 males while in the rural sector it is 987 females:1000 males.• Chattisgarh: – Chattisgarh has a Literacy rate of 61% lies just below the national average. – MPCE of Chattisgarh is Rs. 732. Chattisgarh lies below the average and can improve on this metric. – The gender ratio for age 1 to 6 years is startling. It is an abysmal 564 females to 1000 males.
Conclusion• Madhya Pradesh: – In the Urban sector, the gender ratio for 1-6 years is 801 females to 1000 males while in the rural sector it is 978 females:1000 males – MPCE is Rs 764 and literacy rate is 62%. – The per capita disposable income is lower in Madhya Pradesh than other states.• Uttaranchal: – The gender ratio for ages 1 to 6 years in urban areas is 642 females to 1000 females while in rural areas it is 865 females to 1000 males.