1. National Sample Survey 64th
Round
Insights into Datamining and
evaluating factors for Sectoral growth

2. 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

3. 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.

4. The Data Model
Convert 8 text
files into 7 levels
Combine all
states into 7
levels
Combine 7
levels into one
file

5. NSS 64th ROUND DATA MODEL
LEVEL 2 LEVEL 3 LEVEL 1
Common Items Common Items Centre code,Round,Shift
Level Level FSU Serial number
Filler Filler Round
HH Size Person Srl No. State-Region
Religion Relation District
Social Group Sex FOD Sub-Region
Type of dwelling code Age hg/ sb Number
Type of structure Marital Status Second Stage Stratum
MPCE(Rs. 0.00) General Education HHS No.
Level
Filler
LEVEL 4
Common Items
Level
Filler
Item Code
Quantity(0.000) LEVEL 7
Value(Rs. in whole no.) Common Items
Source Level
Filler
Item Code
LEVEL 5 LEVEL 6 First-hand purchase:Number
Common Items Common Items Whether hirepurchased?
Level Level First-hand purchase:Value
Filler Filler Cost-raw material,service & repair
Item Code Item Code 2nd-hand purchase:Number
Quantity(0.000) Quantity(0.000) 2nd-hand purchase:Value
Value(Rs. in whole no.) Value(Rs. in whole no.) Total expenditure

6. 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.

7. Literacy Rate
0.00%
100.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
Bihar
Jharkhand
East
Orissa
West Bengal
Uttar Pradesh
Chhattisgarh
61.00%
Madhya Pradesh
62.00%
Jammu & Kashmir
Haryana
North
Uttaranchal
67.00%
Punjab
Chandigarh
Himachal Pradesh
Delhi
Arunachal Pradesh
Tripura
Assam
Manipur
Literacy Rate
Sikkim
North East
Meghalaya
Nagaland
Mizoram
Andhra Pardesh
Karnataka
66.00%
Tamil Nadu
Andaman & Nicober
South
Lakshadweep
Pondicheri
Kerala
Rajasthan
53.00%
Dadra & Nagar Haveli
Gujarat
West
Maharashtra
Goa
Daman & Diu
Avg. Literacy Rate 63%

8. 100
200
300
400
500
700
800
900
1000
600
0
Bihar
West Bengal
East
Jharkhand
Orissa
Jammu & Kashmir
Himachal Pradesh
Punjab
Chandigarh
381
Uttaranchal
91
North
Haryana
Delhi
Uttar Pradesh
83
Chhattisgarh
574
102
Madhya Pradesh
316
Sikkim
Arunachal Pradesh
Rural_MPCE on medical expenses
Nagaland
Manipur
Mizoram
North-East
Tripura
Meghalaya
Assam
Andhra Pradesh
143
Karnataka
297
Lakshadweep
Urban_MPCE on medical expenses
South Kerala
Tamil Nadu
Puducherry
Andaman & Nicobar
221
Rajasthan
163
State-wise Institutional and Non-Institutional Medical Expenditure
Gujarat
Daman & Diu
West
Dadra & Nagar Haveli
Maharashtra
Goa

9. 600
800
1000
1200
1400
1600
1800
2000
2200
2400
2600
Bihar
Orissa
East
Jharkhand
West Bengal
Chhattisgarh
732
Madhya Pradesh
Uttar Pradesh
765 772
Uttaranchal
977
Jammu & Kashmir
North
Haryana
Himachal Pradesh
Punjab
Delhi
Chandigarh
Assam
Manipur
Tripura
Sikkim
Meghalaya
North-East
Arunachal Pradesh
Mizoram
Nagaland
Andhra Pradesh
State-wise MPCE Distribution
Tamil Nadu
Karnataka
1098
South Puducherry
Lakshadweep
Kerala
Andaman & Nicobar
Rajasthan
906
Dadra & Nagar Haveli
Gujarat
West
Maharashtra
Goa
Daman & Diu

11. 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.
• India's 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.

12. 1500
2000
2500
1000
500
0
Orissa
Bihar
East
West Bengal
Jharkhand
Haryana
825
Chhattisgarh
962
Chandigarh
Delhi
Uttar Pradesh
North
Punjab
Himachal Pradesh
Uttaranchal 912
962
Jammu & Kashmir
955
Madhya Pradesh
904
Assam
Arunachal Pradesh
Urban_sex ratio
Nagaland
Sikkim
Mizoram
North-East
Manipur
Meghalaya
Rural_sex ratio
Tripura
Andaman & Nicobar
933
Karnataka
988
Andhra Pradesh
South Tamil Nadu
Puducherry
Kerala
Lakshadweep
Dadra & Nagar Haveli
Daman & Diu
Gujarat
West
897
Rajasthan
946
Maharashtra
Goa

13. 1500
2000
2500
1000
500
0
Orissa
Jharkhand
East
West Bengal
Bihar
564
Chhattisgarh
960
642
Uttaranchal
865
Punjab
Uttar Pradesh
801
Madhya Pradesh
978
North
Chandigarh
Jammu & Kashmir
Haryana
Delhi
Himachal Pradesh
Assam
Mizoram
Urban_0-6yrs
Nagaland
Manipur
Arunachal Pradesh
North-East
Meghalaya
Rural_0-6yrs
Sikkim
Tripura
Lakshadweep
Andhra Pradesh
855
Karnataka
987
South Tamil Nadu
Kerala
Puducherry
Andaman & Nicobar
Goa
Daman & Diu
765
Rajasthan
849
West
Dadra & Nagar Haveli
Maharashtra
Gujarat

14. Andaman and Nicobar District Analysis
Andaman and Nicobar District Analysis – 1-6 years female population
State Code State Sector Age District Total Females
35 Andaman & Urban 1 South Andaman 1556
Nicober
35 Andaman & Urban 2 South Andaman 3307
Nicober
35 Andaman & Urban 3 South Andaman 1857
Nicober
35 Andaman & Urban 4 South Andaman 1611
Nicober
35 Andaman & Urban 6 South Andaman 2327
Nicober

15. Andaman and Nicobar District Analysis
Andaman and Nicobar District Analysis – 1-6 years male population
State Code State Sector Age District Total Males
35 Andaman & Urban 1 South Andaman 536
Nicober
35 Andaman & Urban 2 South Andaman 2223
Nicober
35 Andaman & Urban 3 South Andaman 559
Nicober
35 Andaman & Urban 4 South Andaman 525
Nicober
35 Andaman & Urban 5 South Andaman 596
Nicober

16. 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.

17. 50%
100%
0%
Orissa
Bihar
East
Jharkhand
West Bengal
Chhattisgarh
Madhya Pradesh
Uttar Pradesh
Uttaranchal
Jammu & Kashmir
North
Himachal Pradesh
Haryana
Punjab
Delhi
Chandigarh
Food
Manipur
Sikkim
Assam
Meghalaya
Non-Food
Tripura
North-East
Arunachal Pradesh
Mizoram
Nagaland
Andhra Pradesh
%food_MPCE
Food and Non Food Expenditure
Tamil Nadu
Karnataka
Puducherry
South Kerala
Andaman & Nicobar
Lakshadweep
Rajasthan
Dadra & Nagar Haveli
Maharashtra
West
Gujarat
Daman & Diu
Goa
0
200
400
600
800
1000
1200
1400
1600
1800

18. 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.

19. 10
20
30
40
50
60
70
80
90
100
0
Bihar
Jharkhand
East
Orissa
West Bengal
Uttar Pradesh
53
Chhattisgarh
31
Madhya Pradesh
Jammu & Kashmir
Haryana
North
38
Uttaranchal
Punjab
Himachal Pradesh
Delhi
Arunachal Pradesh
Tripura
Assam
Manipur
Sikkim
North East
Meghalaya
Nagaland
Mizoram
Andhra Pardesh
PDS Penetration – Rural Sector
59
Karnataka
Tamil Nadu
Andaman & Nicober
South
Lakshadweep
Pondicheri
Kerala
12
Rajasthan
Dadra & Nagar Haveli
Gujarat
West
Maharashtra
Goa
Daman & Diu
PDS Penetration 37%

20. PDS Offtakes - Rural Sector
59%
60%
53%
50%
38%
40%
31%
30%
20%
12%
10%
0%
Rajasthan Madhya Pradesh Uttaranchal Chhattisgarh Karnataka

21. 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.

23. 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.

24. State GSDP(Rs crores) MPCE POPULATION MPCI Expense Ratio
Goa 19565 1391 1402487 11625 0.12
Pondicheri 9251 1253 827116 9321 0.13
Delhi 157947 1788 12927037 10182 0.18
Gujarat 329285 1088 49072794 5592 0.19
Chandigarh 13669 2581 884693 12875 0.20
Maharashtra 679004 1210 96457747 5866 0.21
Haryana 151607 1201 21912952 5766 0.21
Uttaranchal 45856 977 8553288 4468 0.22
Nagaland 8075 1487 1014566 6633 0.22
Andaman & Nicober 2990 1676 336961 7395 0.23
Orissa 129274 676 36154935 2980 0.23
Tamil Nadu 350819 1087 61477386 4755 0.23
Karnataka 270629 1098 49568006 4550 0.24
Andhra Pardesh 364813 1012 74220947 4096 0.25
Chhattisgarh 80255 732 22972323 2911 0.25
Sikkim 2506 984 554502 3766 0.26
Jharkhand 83950 725 25601937 2733 0.27
Himachal Pradesh 33963 1221 6164086 4592 0.27
Punjab 152245 1392 24999699 5075 0.27
West Bengal 299483 877 78355392 3185 0.28
Jammu & Kashmir 37099 1063 8531479 3624 0.29
Meghalaya 9735 988 2457486 3301 0.30
Arunachal Pradesh 4810 1155 1050405 3816 0.30
Kerala 175141 1518 29802920 4897 0.31
Manipur 6783 886 2061241 2742 0.32
Tripura 11797 918 3532845 2783 0.33
Rajasthan 194822 906 59680275 2720 0.33
Madhya Pradesh 161479 764 60629361 2219 0.34
Assam 71076 858 25459497 2326 0.37
Mizoram 3816 1380 859358 3700 0.37
Uttar Pradesh 383026 772 174835455 1826 0.42
Bihar 118923 643 77895752 1272 0.51

25. 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.

26. State HouseHold Size MPCE(Rs)
Andaman & Nicober 3.8 1676
Andhra Pardesh 3.9 1012
Arunachal Pradesh 4.9 1155
Assam 4.9 858
Bihar 5.5 643
Chandigarh 3.8 2581
Chhattisgarh 5.1 732
Dadra & Nagar Haveli 4.9 933
Daman & Diu 4.1 1435
Delhi 4 1788
Goa 4.1 1391
Gujarat 4.6 1088
Haryana 5.3 1201
Himachal Pradesh 4.2 1221
Jammu & Kashmir 5.3 1063
Jharkhand 5.2 725
Karnataka 4.6 1098
Kerala 4 1518
Lakshadweep 4.9 1479
Madhya Pradesh 5.2 764
Maharashtra 4.7 1210
Manipur 5.1 886
Meghalaya 5.1 988
Mizoram 4.9 1380
Nagaland 5.1 1487
Orissa 4.6 676
Pondicheri 3.7 1253
Punjab 5 1392
Rajasthan 5.5 906
Sikkim 4.4 984
Tamil Nadu 3.7 1087
Tripura 4.4 918
Uttar Pradesh 6 772
Uttaranchal 4.6 977
West Bengal 4.4 877

27. MPCE Vs Literacy Rate
• The illiteracy level is believed to decline with a rise in the
MPCE of the household.
• There exists a strong association between Literacy and MPCE.
The correlation is 0.54.

28. State MPCE Literacy Rate
Andaman & Nicober 1676 74
Andhra Pardesh 1012 56
Arunachal Pradesh 1155 65
Assam 858 76
Bihar 643 49
Chandigarh 2581 75
Chhattisgarh 732 61
Dadra & Nagar Haveli 933 62
Daman & Diu 1435 80
Delhi 1788 82
Goa 1391 76
Gujarat 1088 68
Haryana 1201 65
Himachal Pradesh 1221 75
Jammu & Kashmir 1063 63
Jharkhand 725 59
Karnataka 1098 66
Kerala 1518 85
Lakshadweep 1479 77
Madhya Pradesh 764 62
Maharashtra 1210 74
Manipur 886 76
Meghalaya 988 85
Mizoram 1380 89
Nagaland 1487 86
Orissa 676 61
Pondicheri 1253 80
Punjab 1392 68
Rajasthan 906 53
Sikkim 984 79
Tamil Nadu 1087 73
Tripura 918 73
Uttar Pradesh 772 56
Uttaranchal 977 67
West Bengal 877 68

29. 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.

30. 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.

31. 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.