1. Socio Economic and Caste Census 2011
Ministry of Rural Development
Government of India
PRC Meeting
July 8, 2015

2. Socio Economic and Caste Census 2011
Union Cabinet approved BPL Census along with Caste Census: May 2011
BPL Census in rural areas
Ministry of Rural Development (MoRD)
BPL Census in Urban areas
Ministry of Housing and Urban Poverty Alleviation (MoHUPA)
Caste Census
Ministry of Home Affairs :Registrar General of India (RGI) and Census Commissioner of India (Govt. assured in the Parliament)
MoRD is the Nodal Ministry for the whole exercise
Paperless Census; use of Tablet PC - first time in the world!
Services of CPSUs utilised (BEL, ITI and ECIL)
Defend 2

3. SECC 2011 – Objectives
To enable ranking of households based on their socio economic status.
To make available authentic information on caste wise population enumeration.
To make available authentic information regarding the socio – economic condition and education of various castes and sections of population.

4. Information Collected in Rural Areas
Information regarding :
Occupation
Education
Disability
Religion
SC/ST Status
Name of Caste/Tribe
Employment
Income and Source of Income
Assets
Housing
Consumer Durables and Non-Durables
Land

5. Data Charge Centers: Block/Tahsil Office (10,832 in India)
RURAL & URBAN
25 Crore Households
DATA
Data Charge Centers: Block/Tahsil Office (10,832 in India)
Enumerators
Supervisors
Charge Officers
Draft list
Draft Household Data Publication (R & U)
Gram Sabha (GS)
Claims & Objection Designated Officers &
Appellate Officers
GS Resolutions
Final Household Data/Information
Final data
Decisions
DEA/DEO/TPCs A B C
Verifiers
Socio Economic & Caste Census 2011 – Overall Flow Chart

6. SECC: Survey Completed Everywhere
Districts Covered= 640
Enumeration Completed = 640
Verification Completed= 640
Draft List Published= 628
Final List Published= 299
Final List Published of States= 13 States/ UTs
States Ready to Publish Final List= 21 States/UT
COTs Invited & Resolved= %
Draft List Awaited= 12
NCT Delhi= 9/9
Himachal Pradesh= 1/12
Maharashtra= 2/ 35
Final List in Public Domain

7. Ranking of Households on the Basis of Information – Not a Poverty Line
Poverty is multi-dimensional.
Information from households as basis for ranking.
Three categories of households :
1. Automatically Excluded
2. Automatically Included
3. Ranking of households as per 7 Deprivation Indicators reflecting household’s well-being

8. Automatically Excluded Criteria
1. Motorized 2/3/4 wheeler/fishing boat;
2. Mechanized 3-4 wheeler agricultural equipment;
3. Kisan Credit Card - credit limit Rs. 50,000+
4. Household member government employee;
5. Households with non-agricultural enterprises registered with Government;
6. Any member of HH earning more than Rs. 10,000 per month;

9. Automatically Excluded - II
7. Paying Income Tax
8. Paying Professional Tax
9. Three or more rooms with pucca walls and roof.
10. Owns a refrigerator
11. Owns landline phone
12. Owns more than 2.5 acres of irrigated land with 1 irrigation equipment
13. Five acres or more of irrigated land for two or more crop seasons.
14. Owning at least 7.5 acres of land or more with at least one irrigation equipment.

10. Automatically Included
1. Households without shelter 2. Destitute/living on alms 3. Manual scavengers 4. Primitive Tribal Groups 5. Legally released bonded labourers The Poorest of the Poor ( ‘Ultra Poor’)

11. Deprivation Indicators
1. Households with only one room, Kucha walls and Kucha roof;
2. No adult members between ages of 16 and 59
3. Female headed households with no adult male member between 16 and 59;
4. Households with disabled member and no able bodied member
5. SC/ST Households
6. Households with no literate adult above 25 years
7. Landless households deriving a major part of their income from manual casual labour.

12. Provisional Findings

13. Key Findings Households Excluded = 7.05 Crore (39.49%)
Total Households in the Country= Crore
Total Rural Households= Crore
Households Excluded = Crore (39.49%)
Automatically Included= lakh (0.92 %)
Considered for Deprivation= Crore
Not reporting Deprivation= Crore
Household With Deprivations= 8.69 Crore
Households with at least 1Deprivation = 8.69 crore (48.49%)
Households with at least 2 Deprivation = 5.33 Crore (29.78 %)
Households with at least 3 Deprivation = 2.34 Crore (13.09 %)
Households with at least 4 Deprivation = 0.69 Crore (3.87%)
Households with at least 5 Deprivation= Crore (0.80%)
Households with at least 6 Deprivation= Crore (0.14 %)
Households with all the 7 Deprivations= 12, (0.01%)

14. Exclusion Data At least One Exclusion 39.39% Category
Excluded ALL CASTE Households
Percentage of Households Reporting Positively E1
Motorized 2/3/4 wheeler/fishing boat.
20.69% E2
Mechanized 3-4 wheeler agricultural equipment
4.12% E3
Kissan Credit Card - credit limit Rs. 50,000 +
3.62% E4
Household member government employee
5.00% E5
Households with non-agricultural enterprises registered with Government.
2.74% E6
Any member of HH earning more than Rs per month
8.29% E7
Paying Income Tax
4.58%
Category
Excluded ALL CASTE Households
Percentage of Households Reporting Positively E8
Paying Professional Tax
4.58% E9
3 or more rooms with Pucca walls and roof.
18.52%
E10
Owns a refrigerator
11.04%
E11
Owns landline phone
3.72%
E12
Owns more than 2.5 acres of irrigated land with 1 irrigation equipment
4.27%
E13
5 acres or more of irrigated land for two or more crop seasons.
3.02%
E14
Owning at least 7.5 acres of land or more with at least one irrigation equipment.
2.27%
At least One Exclusion 39.39%

15. Key Findings – Automatic Inclusion
Households without shelter = 1.34 (0.07%) in lakhs
Destitute Households living on alms = 5.49 (0.31%) in lakhs
Manual Scavengers households = 0.90 (0.05%) in lakhs
Primitive Tribal Group households = 8.41 (0.47%) in lakhs
Legally Released Bonded Labour households = 1.13 (0.06%) in lakhs
Automatic Included= Lakh (0.92%)
Intervene on Priority

16. Deprivation Data
D1. Households with only one room, kaccha walls and kacha roof; D2. No adult members between ages of 16 and 59 D3. Female headed households with no adult male member between 16 and 59; D4. Households with disabled member and no able bodied member D5. SC/ST Households D6. Households with no literate adult above 25 years D7. Landless households deriving a major part of their income from manual casual labour.
Total Households
Total Households considered for deprivation
No. of Deprived Households with deprivation criteria
D-1
D-2
D-3
D-4
D-5
D-6
D-7
17,91,64,759
10,69,42,699
2,37,31,674
65,15,205
68,96,014
7,16,045
3,85,82,225
4,21,47,568
5,37,01,383
60%
13.25%
3.64%
3.85%
0.40%
21.53%
23.52%
29.97%

17. Main Running Theme of Deprivation: Landless Manual & Casual Workers
 Particular
Deprivated Households
Landless and manual casual labour (D7)  %
Only zero room or one room with kucha walls and kucha roof (D1)
2,37,31,674
1,41,13082
59%
No adult member between age 16 to (D2)
65,15,205
30,46,605
47%
Female headed households with no adult male member between age 16 to (D3)
68,96,014
37,32,041
54%
Disabled member and no able bodied adult member (D4)
7,16,045
3,25,070
45%
SC/ST households (D5)
3,85,82,225
2,08,86,654
No literate adult above 25 years (D6)
4,21,47,568
2,32,18,296
55%
Landless households as manual casual labour (D7)
5,37,01,383
100%
Insecure & Uncertain Income
Unsafe and Poor quality Houses
Low on Skill & Education
Assetless

18. What's Causing Delay in Finalization of SECC

19. All States Need to Publish Final List before August 15, 2015
Thirteen states have published their Final List;
Twenty States are on verge of publishing Final List;
Fourteen States are caught in small number of Claims and Objections Tracking (COTs)
These states have cleared bulk of claims
Administrative decisions are needed to settle the rest
Some States have some problematic Districts, They must publish final list of districts where COTs is over.
Draft List Awaited= 12
NCT Delhi= 9/9
Himachal Pradesh= 1/12
Maharashtra= 2/ 35

20. Thirteen States Have Published Final List
Sr No
State/UT
CPSU
Draft list Published (No of Districts)
Date of start of Draft List Publication
Final list Published (No of Districts) 1
Chandigarh
BEL
20-Jan-14 2
Karnataka 30
12-Dec-13 3
Manipur 9
22-Nov-13 4
A & N Islands
ECIL
01-Dec-14 5
Assam 27
06-Nov-13 6
Sikkim
11-Oct-13 7
Mizoram 8
27-Jun-14
Nagaland 11
15-Oct-12
West Bengal 19
21-Oct-13 10
Lakshadweep
ITI
Goa
03-Feb-14 12
Jammu and Kashmir 22
04-Mar-14 13
Meghalaya
05-Dec-13

21. A Gentle Nudge in These States
Sl No
State/UT
CPSU
Draft list Published (No of Districts)
Date of start of Draft List Publication
Final list Published (No of Districts)
COTS Covered %
COTS Pending
Actual 1
Gujarat
BEL 26
07-Oct-13
25/26
100% 9 2
Rajasthan 33
01-Aug-14
12/33 3
Bihar
ECIL 38
36/38 4
Jharkhand 24
05-Feb-14
13/24
97.72%
3947 5
Madhya Pradesh
ITI 50
09-Sep-14
38/50
97.6%
1625 6
Punjab 20
27-Jun-14
13/20
99.87%

22. Claims and Objections Pending
SL No.
State
CPSU
No of Household Where Claims Uploaded
Application Process
Data Modification done on Applications
% Applications Settled
Pending Application
Approved
Reject 1
GUJARAT
BEL
268686
268574
103
268561
100 9 2
RAJASTHAN
28014
27876
137
27817 3
CHHATTISGARH
53869
51660
2167
51589
99.92 42 4
TAMILNADU
22648
21959
379
21555
98.63
310 5
TRIPURA
7293
7136 12
6963
98.01
145 6
HARYANA
186736
177625
4326
174803
97.44
4785 7
MAHARASHTRA
99675
84499
6417
81215
91.21
8759 8
PUDUCHERRY
1335
1171
855
87.79
163
BIHAR
ECIL 10
TELANGANA
669231
668414
698
666846
99.98
119 11
ANDHRA PRADESH
667299
664858
2122
664465
99.95
319

23. Claims and Objections Pending
SL No.
State
CPSU
No of Household Where Claims Uploaded
Application Process
Data Modification done on Applications
% Applications Settled
Pending Application
Approved
Reject 12
WEST BENGAL
ECIL
75395
99.05
14210 13
ODISHA
1631
1594 2
1578
97.85 35 14
JHARKHAND
173221
166385
2889
163183
97.72
3947 15
UTTARAKHAND
ITI
220
219 1
211
100 16
KERALA
431381
372156
59213
372353 17
ARUNACHAL PRADESH
17696
17695
99.99 18
PUNJAB
2999
2941 54
2925
99.87 4 19
HIMACHAL PRADESH
667
666
644
99.85 20
UTTAR PRADESH
180796
176883
1384
173143
98.6
2529 21
MADHYA PRADESH
67712
65994 93
65605
97.6
1625

24. Claims and Objections Process: Time Over- Run
Sl. No
State/UT
CPSU
Average Number of Days
Lowest number of days
Highest number of days 1
Chhattisgarh
BEL
104 72
135 2
Gujarat
457 3
Haryana
986
978
993 4
Maharashtra 75 19
130 5
Puducherry 6
Rajasthan
138
257 7
Tamil Nadu NA 8
Tripura
146 9
Andhra Pradesh
ECIL
242
212
271 10
Bihar
479
470
487

25. Claims and Objections Process: Time Over- Run
Sl. No
State/UT
CPSU
Average Number of Days
Lowest number of days
Highest number of days 11
Jharkhand
ECIL
229 50
407 12
Odisha 62 6
118 13
Telangana
168
149
187 14
Arunachal Pradesh
ITI
139 33
244 15
Delhi NA 16
Himachal Pradesh
169 41
297 17
Kerala
331 18
Madhya Pradesh
116 44 19
Punjab 47 8 86 20
Uttar Pradesh
334
110
558 21
Uttarakhand
290
161
419

26. SECC provisional data has been released in website http://secc. gov
SECC provisional data has been released in website on 3rd July 2015.
SECC is a Work in Continuum
Tracing Progress of Households
Continuous Data Sharing for Information Updates

27. Poverty Free Panchayats Possible
Making evidence based
targeted household interventions for
poverty reduction possible

28. Poverty Free Gram Panchayats: Planning Process
IPPE of MGNREGA, MCP of NRLM, mobilization of DDUGKY and selection of households for housing for all – part of the same community process.
Led by the Gram Panchayat elected leadership with institutionalized involvement of NRLM SHGs.
Planning to include 14th FC resources.
Linkages with non – core programmes – education, agriculture, dairy, AH, skills, etc.

29. SECC – An Opportunity for Action
Poverty Free Gram Panchayats?
Convergence:
Since poverty is multi-dimensional, case for a simultaneous intervention as per the needs of the poor household – address education, health, nutrition, water, sanitation, housing, employment, skill, social mobilization, etc.
Saturation:
Integrated poverty reduction plan for a household is part of a larger Gram Panchayat Poverty Reduction Plan for development and well-being, it can have positive consequences for households with poverty.

30. Possible Applications
National Food Security Act
Housing for All
Education and Skills thrust
Mahatma Gandhi-NREGA focus villages
Interventions for differently able
Interventions for women led households
Targeting of household/individual entitlements ion evidence of deprivation

31. What's Holding Back Full Use of SECC Data

32. The First Step: Mapping of Enumeration Blocks with Gram Panchayats
SECC data is Enumeration Block wise consisting of roughly 125 households each
24 lakh enumeration blocks
Development Administration runs through Panchayats;
In a panchayat there would be multiple Enumeration Blocks (EB); and
Therefor linking enumeration block to village and panchayat is a necessary condition for identifying beneficiary households and for making targeted intervention(s);

33. Planning in Gram Panchayats: Key Challenges
Getting voices of the poor heard – SHGs, Vos as MGNREGA PIAs.
Tackling inclusion, exclusion challenges of those on the margins.
Creating counter-veiling institutional arrangements for community organizations to work with the elected PRI representatives.
Getting Health Sub Centre, CRCs of SSA, Supervisor of ICDS, Agri/AH co-terminous with Gram Panchayat.

34. Challenges in the usage of SECC data :
Discrepancy in SECC and MGNREGA data.
Count of Gram Panchayat is different.
Gram Panchayat names are different.
This results in difficulty in linking the SECC data to the Gram Panchayats
To overcome this the following approach should be taken:
Location masters of SECC and MNREGA should be uniform.
The different codes used should be standardized across all the programmes wherever SECC data is proposed to be used.

35. Challenges to beneficiary identification:
Eligibility (Who is deprived?)
Correct identification of eligible beneficiary
Complete coverage of all eligible beneficiaries
Exclusion of all ineligible beneficiaries
Priority (How much is he/she deprived?)
Phase wise scheme execution requires more deprived to be covered earlier than less deprived
Data driven ranking methodology for prioritizing the beneficiaries
Authenticity (Whom to believe?)
Need for an authentic socio economic database
SECC database provides an authentic list of household information which can be used to identify and prioritise the beneficiaries for delivering benefits under various schemes run by the Ministry

36. SECC data usage in MGNREGA - IPPE
Intensive Participatory Planning Exercise:
IPPE focusses on poorest households based on SECC database for preparing suitable livelihood plans. The SECC data will be used for identification of these households.
Target group identification:
IPPE will include:
Automatically included household
Households with at least four deprivations.
The inclusion and various deprivation criteria of the households are already available in the SECC data.

37. SECC data usage in MGNREGA - IPPE
Target group ranking:
Exclusion
The households fulfilling one or more of the exclusion parameters as decided by the Ministry below would be automatically excluded.
Ranking
The list will be ranked in the following Order :
Topmost - automatically included HH
Households meeting all seven deprivations
Households meeting all six deprivations
Households meeting all five deprivations
Households meeting all four deprivations        

38. IAY Target group identification :
Indira Awaas Yojana is a public housing scheme focused on the following set of beneficiaries:
Houseless poor families
Houseless information is available in the SECC data
Those living in dilapidated and kutcha houses
Detailed information on the kutcha houses is available in the SECC data, which covers the types of materials used in the walls as well as roof of the house. The information on number of rooms is also available.
Provision of house sites to the landless poor.
Landholding information is available in the SECC data which can be used to identify the landless poor, by cross referencing it with the income information.

39. IAY :Target group ranking
Exclusion
The households fulfilling one or more of the exclusion parameters as decided by the Ministry below would be automatically excluded.
Ranking
The remaining households will be given weightage on various deprivation parameters like Houseless, Destitute/living on alms, PTG, LRBL, MS, Zero or one or two room house with kutcha wall/roof etc. Based on the weightage, these will be ranked based on most deprived to less deprived.
Separate lists for SC, ST and Others
The ranked list of beneficiaries can be separated into separate lists for SC, ST and others based on the caste information in the SECC data

40. SECC data usage in NSAP National Social Assistance Programme:
NSAP comprises of five schemes, namely –
Indira Gandhi National Old Age Pension Scheme (IGNOAPS),
Indira Gandhi National Widow Pension Scheme (IGNWPS),
Indira Gandhi National Disability Pension Scheme (IGNDPS),
National Family Benefit Scheme NFBS)
Annapurna.
IGNOAPS Target group identification:
The age of the applicant (male or female) should be 60 years or above.
The applicant should belong to a household living below the poverty line according to the criteria prescribed by the Govt. of India.
The age and income criteria are already available in the SECC data.

41. SECC data usage in NSAP IGNWPS Target group identification:
The applicant must be a widow in the age group of years.
The applicant should belong to a household living below the poverty line according to the criteria prescribed by the Govt. of India.
The widow (marital status), age and income criteria are already available in the SECC data.
IGNDPS Target group identification:
The applicant must be in the age group of years.
The applicant should be a person with severe or multiple disabilities.
The disability information, age and income criteria are already available in the SECC data.

42. SECC data usage in NSAP NFBS Target group identification:
The primary bread winner is to be the member of the household (male and female) whose earnings contribute substantially to the total household income.
The death of such a primary breadwinner should have occurred while he or she is more than 18 yrs. of age and less than 65 yrs. of age.
The bereaved household qualifies as one below the poverty line according to the criteria prescribed by the Government of India.
The primary bread winner (member with highest household income) data, age and income criteria are already available in the SECC data.
Upon the death of the said person, the death certificate in addition to the SECC data can be used to decide the eligibility of the beneficiary.

43. DDU-GKY – SECC Data Use
Analysis of educational level – primary, middle, secondary pass – dropout.
Saturation in IPPE and NRLM Intensive/Resource Block.
Diversification of trades and skills.
Longer duration courses – teachers, health workers.

44. Education 41% 12% 16% 13% 10% 4% 0.92% Total households Illiterate
Total households
Illiterate
Literate but below primary
Primary
Middle
Secondary
Higher secondary
Graduate or higher
Other
Main Source of Income 1 2 3 4 5 6 7 8 9
Cultivation
178443
Manual & Casual
138665
Domestic
431904
649219
615096
613695
340972
335549
49926
Foraging Rag
408389
200040
45977
63300
40866
31766
15064
10121
1254
NA OE
682746
273712
500168
496023
462465
225510
216323
30652
Begging Alms
668432
409263
66974
71244
51610
35407
17425
14488
2020
Others
461889
Total Households
862849
41%
12%
16%
13%
10% 4%
0.92%

46. Education

47. THANK YOU