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REPORT ON SOCIO-ECONOMIC SURVEY, SOCIO-CULTURAL RESOURCE MAPPING AND INFRASTUCTURAL SURVEY IN THE PROJECT AFFECTED AREA OF M/S BRPL, KEONJHAR DISTRICT Submitted t o M/s Brahmani River Pellets Limited, Keonjhar Report Prepared by JIBIKA Keonjhar

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REPORT ONSOCIO-ECONOMIC SURVEY, SOCIO-CULTURALRESOURCE MAPPING AND INFRASTUCTURALSURVEY IN THE PROJECT AFFECTED AREA OF

M/S BRPL, KEONJHAR DISTRICT

S u b m i t t e d t o

M/s Brahmani River Pellets Limited, Keonjhar

Report Prepared byJIBIKA

Keonjhar

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C O NT E N TST i t l e P a ge

P ar t O n e I n t r o d u c t i o n 1 - 2

A b o u t t h e P r o j e c t 2 - 4

N e e d o f S o c i o E c o n o m i c S u r v e y 5 - 6

M e t h o d o l o g y 6 - 7

S o c i o - e c o n o m i c S u r v e y F i n d i n g s 7 - 1 0

P ar t Tw o O v e r v i e w o f t h e A f f e c t e d A r e a 1 1 - 1 2

S o c i o - E c o n o m i c P r o f i l e o f t h e

a f f e c t e d v i l l a g e s 12 - 34

A - S o c i o - E c o n o m i c P r o f i l e o f T o n t o 14 - 2 4

B - S o c i o - E c o n o m i c P r o f i l e o f N a l d a 24 - 34

C - E n t i t l e m e n t M a t r i x 3 4

P ar t Thr e e V i l l a g e P r o f i l e 3 5 - 39

G e n e r a l I n f r a s t r u c t u r e 39 - 4 1

S o c i o - c u l t u r a l P r o p e r t i e s 4 1 - 4 2

R e s o u r c e M a p p i n g 4 2 - 4 3

S o c i a l M a p p i n g 4 3

P ar t Fo ur C o n c l u s i o n a n d s u g g e s t i o n s 44 – 4 5 N e e d b a s e d C S R A c t i v i t i e s 46

F u t u r e P o t e n t i a l A c t i v i t i e s f o r t h e

S o c i o - E c o n o m i c D e v e l o p m e n t 47

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L i s t o f Ta b l esTable

NoTitle Page No

1

List of the Project Affected Families of Tonto

and Nalda Villages

1A. Tonto Village

1B. Nalda Village

50 – 51

2

list of the PAPs coming under the family

category as per the R&R Policy 2006

2A. Tonto Village

2B. Nalda Village

51 – 54

3A Demographic Profile of Tonto & Nalda Villages 55

3BDemographic Profile (Contd.) of Tonto & Nalda

Villages555

4 Family Category as per R&R Policy-2006 56

5 Distribution of population of Affected Area 56

6 Status of Literacy of PAPs 57

7 Occupational Pattern of PAPs 57

8Distribution of Affected households according to

income.58

9 Housing and Amenities of PAFs 59

10 Land Particulars 60

11 Distribution of Total land among PAFs 60

12 Labour use pattern of PAPs 61

13 Possession of Livestock of PAFs 61

14 Assets Position of PAFs 61

15 Land Acquisition Status of Village Tonto 64

16 Land Acquisition Status of Village Nalda 65

17.A Entitlement Matrix of Tonto 66

17.B Entitlement Matrix of Nalda 67

18 Status of women SHG, Youth Clubs & otherassociations

68

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A n n e x u r e

1 . S o c i a l M a p o f T o n t o 6 8

2 . R e s o u r c e M a p o f T o n t o 6 9

3 . S o c i a l & R e s o u r c e M a p o f N a l d a 7 0

4 . C h a p a t i D i g r a m o f T o n t o 7 1

5 . C h a p a t i D i g r a m o f N a l d a 7 2

P h o t o S e s s i o n 94 - 97

Sl No. Title

List of Graphs

1. Socio- economic Profile of Tonto Village

2. Household Pattern of PAPs

3. Social Categories of PAFs

4. Distribution of Population (Tonto)

5. The list of the PAPs coming under the family category

6. Age Distribution of PAPs (Tonto)

7. Educational Status of Tonto

8. Occupational Pattern of Tonto

9. Income Level of the PAPs (Tonto)

10. Status of Housing of PAPs (Tonto)

11. Land Acquisition Status of Tonto

12. Status of HHs of PAPs (Nalda)

13. Social Category of PAFs of Nalda

14. Distribution of Population (Nalda)

15. Age Distribution of PAPs (Nalda)

16. Status of Literacy (Nalda)

17. Occupational Status of PAPs (Nalda)

18. Income level of PAPs (Nalda)

19. Status of Housing of PAPs (Nalda)

20.Land Acquisition Status of Nalda

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- 1 -

Par t One

Introduction:

The development trend in the Indian economy witnessed over the past few

years are expected to continue and the economy is expected to grow at the rate

of 8 to 9 % per annum. To maintain this resilience in the economy, the industries

and service sectors are expected to grow at a faster rate to achieve the projected

overall growth rate. Core industries like steel, power and infrastructure are

expected to take a quantum leap. Orissa being a state with multiple natural

resources became the attraction of many such investors. Presence of rich quality

ore, adequate land and water resource and progressive administration convinced

many industrialists of international repute to invest for large scale units. The

Government of Orissa is making all efforts to accelerate the industrialization

process in the state influenced mainly by two factors; firstly there is a surge in the

demand for steel globally creating favorable market conditions. Secondly, Orissa

desire to improve its economy by exploiting the rich mineral resource base

emphasizing on maximum ‘value addition’ within the state. The Government of

Orissa formulated a new Industrial Policy in 2006 to ensure balanced economic

development of the region, and to increase employment opportunities and

industrial production by encouraging private investors to invest in the state.

Earlier the state’s mineral resources were exported out side for value addition

either within country or overseas. The new industrial policy helps the willingness

of investors to carry out value addition by setting new industrial projects in the

state.

The survey work was entrusted to the Organization, called JIBIKA, by

Government vide letter number 12 dated 11/ 01/ 2010 of the Special Land

Acquisition Officer, Keonjhar and approved by Government of Orissa vide letter

number 21015 dated 25/ 05/ 2009. Sole aim of this entrust was to find out the

socio- economic analysis of the population who are likely to loose their land,

general infrastructure and resources by M/s Brahmani River Pellets Limited

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(BRPL) project. M/s Brahmani River Pellets Limited (BRPL) is setting up an Iron

Ore Pelletisation Complex at Tonto and Nalda villages in the district of Keonjhar

with a capacity of four million tones per annum with total investment of Rs.

1485.00 crore. The company signed MOU with the State Government on 15th

March 2007 to set up the project. A chunk of land is being acquired by M/s BRPL

with the help of the district administration of Keonjhar to establish the plant. In the

process, some households of the above villages are to be affected by acquiring

land for the project and need to be rehabilitated in the close vicinity of the plant.

The rehabilitation process needs to improve the quality of life, maintain the

harmonious relation ship and provide essential amenities on a sustainable basis

to the local people.

The State Government has formulated a progressive R &R Policy in 2006

is effectively addressed the adverse impacts of affected population. The R&R

policy make it mandatory to undertake a proper Socio-economic Survey with a

intention to generates broad socio-economic data and gives a detail picture of

ground realities, e.g. who is being affected, extend of asset and land loss and

various impacts to the affected people. Also it considers perceptions of the

people towards the project, which are important to establish and sustain

communication. This document will help to prepare a better rehabilitation plan for

M/s BRPL project. It has been prepared using the findings of a range of base line

data of the project affected areas through census approach. All the identified

affected beneficiaries are classified in various categories based on their eligibility

as per the R&R Policy, 2006 of Government of Orissa. For the construction of the

project, various assets like, cultivated land, trees and other community properties

will be acquired affecting the socio- economic conditions and livelihoods of the

people living in and around the project area. In order to mitigate such adverse

effects of the project, a comprehensive R&R Action Plan has been formulated in

consultation with the project authorities and considering the needs of the affected

and local people. The total report has been formulated as per the guidelines of

Orissa Government’s R&R Policy, 2006.

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About the Project:M/s Brahmani River Pellets Limited (BRPL) has been promoted by the

Stemcor group of United Kingdom. On 15 March 2007, Orissa government has

signed a memorandum of understanding (MoU) with M/s Brahmani River Pellet

(BRPL) for setting up iron ore pelletisation complex. The pellet plant will be set

up in Jajpur and Keonjhar districts with an investment of Rs.1,485 crore. The

project comprises a 4 million tonnes per annum iron ore beneficiation plant at

Tonto and Nalda of Barbil Tehsil in Keonjhar district, a 4 million tonnes per

annum iron ore pelletisation plant at Kalinga Nagar Industrial Complex in Jajpur

and laying of 200 km pipeline from Barbil to Kalinga Nagar to carry beneficiated

iron ore in slurry form. The plant will require 18.5 MW of power each at Barbil and

Kalinga Nagar. The facility is expected to be operational in four years time. The

beneficiation plant site is just beside NH-215. The nearest railway station is at

Barbil, which is about 6.5 km from the beneficiation plant site and is located on

the Howrah-Barbil section of South Eastern Railway. The nearest airport is at

Bhubaneswar, which is about 300 km from beneficiation plant site and well

connected by road. Proposed project falls under “Category A” as per the

notification issued on 14th September 2006 by Ministry of Environment & Forests

(MOEF) as new environment clearance procedure.

The land requirement for the project is about 240.439 acre, of which

19.04acre land has been acquire/alienated and rest 221.399acre is in process to

be acquired / alienated.

Details of the land required by the project is given below:-

Sl. No. Particulars

Area in AcrePlant

(Tonto)Tailing Dam

(Nalda)Corridor for Belt

ConveyorGovt. Pvt. Govt. Pvt. Govt. Pvt.

1 Jungle 66.963 0 30.985 0 0 0

2 Gochar 15.443 0 0 0 0 0

3 Waste 19.001 0 0 0 1.235 0

4 Private 0 23.439 0 83.373 0 0

Total 101.407 23.439 30.985 83.373 1.235 0

Grand Total –240.439acre

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The company has proposed to use low grade iron ore fines available in

Barbil with the cooperation of the state government. Mine of Mideast Integrated

Steel Limited (MISL) at Roida shall be the major supplier of iron ore fines. The

major sources are expected to be from Thakurani mines of Sesa Goa Ltd,

Jajang, Oraghat, Tehri & Bico of Rungta Mines Ltd, Kasia of Essel Mining & Co

Ltd & Bolani of SAIL. Total power requirement during operation phase of the

proposed beneficiation plant shall be 18.5 MW which is proposed to be obtained

from the North Eastern Electricity Supply Company of Orissa Ltd. (NESCO). The

maximum and average estimated water requirements during operation phase are

11520 m3/day (0.134 m3/s) and 7520 m3/day (0.087 m3/s) respectively which

shall be drawn from the Baitarini river at Kanpur village. A water intake well and

pumping station shall be provided on the bank of Baitarini river to draw the water

and same shall be transported through a 18.92 km long pipeline to beneficiation

plant site.

BRPL shall have a department consisting of officers from various

disciplines to coordinate the activities concerned with the management and

implementation of the environmental control measures during construction and

operation phase of the proposed project. BRPL shall also develop a well

documented system to monitor and control pollution. Basically, this department

shall undertake monitoring of the environmental pollution levels by measuring

fugitive emissions, ambient air quality, water and effluent quality, noise level etc.,

either departmentally or by appointing external agencies wherever necessary.

The man power requirement for the total project is 418 persons. The

affected and local people will be more priorities as per their skill. The project

provides revenue to the state and center of Rs. 450 crore through direct and

indirect taxes.

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Need of Socio Economic Survey:

A large number of development projects are being taken up in Orissa to

carry out the economic growth and development in the state and to ensure that

the people of Orissa lead an improved quality of life. For these projects huge

extents of land have been acquired thus affecting a large number of people.

While some of them have been physically displaced losing their home and hearth

and shattering their culture and kinship linkages, a large number of them have

been adversely affected by the project without getting physically displaced.

There are also examples of deterioration of livelihood condition as well as severe

socio-economic, cultural and environmental problems of these affected people.

Although it is the key responsibility the government or private sector undertaking

implementing the project to ensure that at least the former standard of living of

the displaced persons is restored at the minimum.

Besides the oustees, majorities of other affect people lose only their

cultivated land but do not get displaced from their habitation site. These effects or

change vary from project to project and from people to people depending on the

magnitude of loss caused due to the project. A large proportion of these affected

non-displaced people lose their life support system in many ways – like loss of

access to common property resources, loss of employment opportunities etc.

Rehabilitation plans and programmes are therefore needed to minimize such

problems and to ensure that the people so affected regain at least their previous

standard of living.

The available data from the Census of India reports may be inadequate in

drawing up an R&R plan for the PAPs of the project. For this purpose, a detailed

socio-economic survey has to be carried out among the affected population. For

a systematic programme of resettlement and rehabilitation it is essential to have

complete, correct and up-to-date information about the affected persons, families

and the total population. The information required are about the habitat from

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which people are affected, its geographical features, infrastructures, its

advantages and life supporting natural resources, social and cultural aspects etc.

It is extremely important to possess comprehensive and document

information about the socio-economic and cultural aspects of PAPs because it

provides the basis for preparing a realistic Rehabilitation Action Plan (RAP). It

has been found that projects where R&R is carried out without adequate socio-

economic baseline data on the PAPs , are unsuccessful in achieving their

objectives. The RAP has therefore to be based on analysis of selected socio-

economic and cultural parameters that highlight the profile of the PAPs. Keeping

this in view, in the present exercise, an attempt has been made to prepare a

tentative socio-economic analysis and R&R plan, which is based on preliminary

figures of affected families, extent of acquisition of land and other common

property resources. This report will be finalized by the RPDAC, in due course.

Methodology:

Method is the way of approach and procedures adopted in acquiring data.

Survey research is a method for collecting and analyzing data, obtained from

large number of cases representing a specific population. The present study, is a

socio-economic study of affected households of Tonto and Nalda villages

affected by M/s BRPL project. The total households are 51 affecting by the

project by acquiring their land in the project. Out of 51 households, 30

households belong to Tonto and 21 households are from Nalda. The list for

household survey according to land schedule was provided by M/s BRPL which

was followed during the study.

The survey technique is intended to describe a specific set of phenomena.

This method is conducted to collect detailed description of the existing

phenomena with the intent of employing data to justify current conditions and

practices or to make more intelligent plans for improving the conditions. The facts

collected are based on reality in nature. The information has been gathered both

primary and secondary sources through intensive field investigations. The

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secondary data has collected from revenue officials with regard to land

particulars. In addition census records, voter list for demographic features has

also collected. Development agencies like DRDA, gram panchayats, municipality

have been visited to get various information related to the survey.

Experienced and qualified field staffs were engaged to collect field data

through proper developed questionnaires approved by the State Government

after proper orientation and training. Participatory and questionnaire survey

method were adopted to collect data from the field. Focus Group Discussion

(FGD) and Participatory Rural Appraisal (PRA) techniques are the two important

tools of participatory method used in the field to collect community level data like,

village profile, social and resource mapping. Household level contacts and

interviews have been undertaken with each affected family for completing the

household socio-economic profile. The collected data was edited before data

entry through computer programming. Desired computerized tables were derived

for report preparation.

Socio- economic Survey Findings:

R&R Policy 2006 of Orissa state made it mandatory to undertake a proper

socio- economic survey , which can generate broad socio- economic data and

give a clear picture of ground realities, It also considers perception of the people

regarding the project establishment and their rehabilitation, which are important

for both industry house and Government. Keeping in view, Jibika, an

independent agency, has assigned by state government to conduct a detail

survey of the project affected families of BRPL projects.

The Key Findings of the Survey are discussed below:-

The affected families of the project area can be broadly categorized into

two types i.e. staying within the project area and staying outside of the

project area but loosing agricultural land in project area.

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Though the number of main households as per the RoR is 38, out of which

20 from village Tonto and 18 from Nalda, the total number of extended

households are 70, of which 38 belong to Tonto and 32 belong from

Nalda. But the survey covered 30 HHs in Tonto out of 38. Another 7 HHs

are not traceable, staying out side and one HH has no legal heir. In case

of Nalda, 32 extended households have been identified but, 21

households are covered in survey. The rest 7 extended households are

not traceable; staying out side and 4 HHs has no legal heir.

In village Tonto, out of 30 PAFs, the number of male headed households

are 76.67% whereas the number of female headed households are only

23.33% In Nalda village, the numbers of male headed households are

80.95% whereas the numbers of female headed households are only

19.05%.

About 86% of the households are under the nuclear family category and

the rest 13% are in joint families in village Tonto. About 66.67% of the

households are under the nuclear family category and the rest 33.33% are

in joint families in case of Nalda village.

It is found that 32.09% are literate in village Tonto whereas it is 51.14 % in

Nalda.

In both the villages, the wage activities are categorized as industrial,

construction work and mining work which is contributed maximum days to

the workers than the daily and construction wage. As there is no

cultivation in the village and nearby villages, the number of members

engaged in farm-wage is nil. There is relatively less number of households

in the villages who are depending on salary job and private work in both

villages.

In case of Tonto village, about 73.17% (30 households) of the total

households belong to the below poverty line category and about 14.64 %

of the households are having income more than Rs.3 0,000/- to Rs

40,000/- per year. There are 12.19% households who have highest

income category groups like Rs.4 0,000/- to Rs 50,000/- per year. But

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incase of Nalda village, there are about 58.98% of the total house holds

belong to the below poverty line category. There are 12.81 % households

are having income more than Rs.50, 000/- to Rs.1, 00,000/- per year and

17.96% who have income of Rs1, 00,000 to Rs 4, 00,000/- per year and

all these households are involved in business and service.

The study shows that, the housing condition of the PAFs of Tonto village

is very poor. So far as the number of dwelling room is concerned, it is

observed that 58.62 % PAFs have two rooms (including the kitchen

room/space) and the maximum 4 rooms are found among only 6.9 percent

houses. There is no connection of electricity to the affected households.

But In case of Nalda, 42.86 % of houses have only one room (including

the kitchen room/space) and 14.28 % of households have more than five

rooms.

From the findings, it is observed that all the households have their own

land other than homestead land which they were using for agricultural

purpose i.e. growing paddy to fulfill the staple food requirement but at

present due to dust, they are not cultivating since 3 to 4 years. In case of

Tonto village, Last year, very few 2 to 3 households had cultivated the

land but as the paddy were eaten by the cattle, they are disappointed and

stopped cultivating. In case of Nalda village, except 6 households, others

are not cultivating since 3 to 4 years.

In case of land holding position of PAFs, it is shown in Tonto village that

96.67 % of the total households are marginal farmers acquiring up to 2.50

acres of agricultural land whereas the 3.33% of the household is small

farmer acquiring 2.51 ac to 5.00 acres of land. In Nalda village, 57.14 % of

the total households are marginal farmers whereas the 19.05% of the

household is small farmer and the number of medium farmers is 23.81%. .

It may be observed that in case of Tonto village, that 40%PAFs have

livestocks like bullocks, cows, calves, goats and hens etc whereas in case

of Nalda. 42.85% PAFs have the same.

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K. About possession of household assets, it may be observed from Tonto

village that there are 17 bicycles, 9 motorbikes and 8 cell phones of the

PAPs whereas in case of Nalda village, there are 12 bicycles, 3

motorbikes, 4 bolero/ Marshals, 7 TVs and 10 cell phones available

among the PAPs.

In both the villages, almost all the households have possessed the trees

like mango, jackfruit, mahua, guava, lemon, blackberry, Koilari,Bara,

Kendu, char, Dumuri, Kusuma, Ambada, plump, tamarind etc.

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Part TwoOverview of the Affected Area:

The proposed project M/s BRPL has planning to construct in two location.

The beneficiation plant is located at village Tonto which is very close to Bhadra

Sahi chhak and tailing dam at Nalda coming under Barbil Tahasil of Joda block in

Keonjahar district. For the construction of the project land acquisition is going on

in the village Tonta and Nalda.

Kendujhar Garh was a princely state, ruled by Bhanja Dynasty up to 1947.

Keonjhar merged with modern Orissa on the 1st January 1948 constituting a

district of the state. The district Keonjhar is situated in the Northern part of Orissa

lies between 21o1'N and 22o10'N latitudes, between 35o11' and 86o22'

longitude and 480 meter altitude. The district occupies an area of 8303 sq. kms

from which 37.30% of the area of this district i.e. 310 sq.kms. Is covered by

forests. Keonjhar is one of the underprivileged districts in the state in terms of

crop production, food availability, infrastructure and inequality of resources. The

district is very rich in natural resources for example forest and mineral deposits.

In contrast, the majority of inhabitants in the district are very poor and destitute.

Keonjhar concentrates highest minerals and mining operations in the state as

well as in the country. The district occupies an important place in the mineral

maps of the country for its intensive deposits of iron ore (2361.17m.t.), chromites

(3.25m.t.), quartz and quartzite (2.7 m.t.), china clay (2.2 m.t.), pyrophyllite (20

m.t.), bauxite (5 m.t.), manganese (28.40 m.t.), dolomite (0.73 m.t.) and lime

stone (0.06 m.t.) are found to occur in the district. At present, there are 120

mining leases are covering a total area of 23546.43 hectares. Out of 120 mines,

84 mines are operating and providing employment to 17371 persons within and

out side of the district.

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Position Comparison Table:Sl

No. Parameters Joda Block KeonjharDistrict Orissa State

1 Date of Establishment 1st January,1961st1 January

19481st April

19362 Geographical Area

(in sq km.) 438.82 8303 155707

3 No. of Sub-division 1 (Champua) 3 58

4 No of Tahasil 1 8 171

5 No. of CD Block 1 13 314

6 No. of Towns O2 09 31

7 No. of Municipalities 01 03 35

8 No. of NACs 01 01 68

9 No. of Police Stations 04 23 464

10 No. of Grampanchayats 13 286 6234

11 No of Villages 119 2122 51349

12 Total Population(in ooo nos.) 194 1562 36804

13 Rural Population 102 1349 31287

14 Urban Population 91 213 5517

15 % of rural population 52.57 86.36 84.01

16 Percentage of urbanPopulation (%) 46.9 13.64 14.99

17 % of SC Population 11.1 11.60 16.53

18 % of ST Population 52.3 44.50 22.13

19 Literacy rate (2001census)(%) 48.8 59.24 63.61

Socio-economic Profile of the Affected Villages:Information on Socio-economic profile of Displaced and Project Affected

families is a pre-requisite to determine the standard of living and quality of life of

affected people and also the community residing in the project area.

In this project, only two villages i,e, Tonto and Nalda are not getting

displaced but losing agricultural land for the project. Keeping in view, the present

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13

study collected data on several socio-economic parameters namely, age and

sex distribution, caste composition, family type, level of education, economic

status, labour engagement pattern, annual income etc.

I

Identification of Project Affected Families (PAFs):

Two categories of Project Affected Families were identified in the present

survey:-

A. Staying in affected area of project area and

B. Staying outside of the project area but loosing agricultural land in project

area

Number of Affected Families Surveyed in the Present Study:

Number of Affected Families

Nameof the

Villages

No of Households (According to ROR)Main

Households(According to

ROR

ExtendedHousehold

Nottraceable(staying

outside)

Deadand nolegalheir

Totalextended

householdsstudied

Tonto 20 38 07 01 30

Nalda 18 32 07 04 21

Total 38 70 14 5 51

The present study was conducted in the families on the basis of RoR

(Record of Right) of the agricultural land acquired by the project. In the above

table, it is shown that, in case of Tonto village, 38 extended households have

been identified against 20 main households according to RoR. There are only 7

extended households (married daughters of main households), staying outside

were not tracing out and 1 household has no legal heir found during the study.

Similarly, in case of Nalda, 32 extended households have been identified against

18 main households and only 7 extended households (married daughters of main

households), staying outside at Raipur were not tracing out during the study.

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14

Perc

en

tag

eo

fh

ou

se

ho

lds

Perc

en

tag

eo

fP

AF

s

Finally the study was concentrated with 30 extended households of Tonto

village and 21 extended households of Nalda village. The list of the Project

Affected Families of Tonto and Nalda Villages are found inTable-1A and Table- 1B.

Location of the PAPsTonto Nalda

Name of the Hamlets/HHs Name of the Hamlets/ HHs

Hud

iS

ahi

Maj

hiS

ahi

Upp

arS

ahi

Indi

raco

lony

His

abur

uS

ahi

Mar

ket

sahi

Rak

hal

Sahi

Bad

aja

mud

a

Jhar

ana

Sahi

Nal

daBo

arde

r

Sun

dara

Bas

ti,B

arbi

l

6 14 7 3 5 1 3 2 5 3 2

The above table depicts that the affected families are residing scatter in

different sahi/ hamlets of the affected villages. In village Tonto, the affected

families are located in four hamlets whereas the 21 households of Nalda are

staying in 7 hamlets.

Socio- economic Profile of Tonto Village:Before analyzing the socio-economic details of the PAPs of Tonto village,

it is essential to know the demographic profile of the households.

Household Status of PAPs (Tonto) Social Category of PAFs

8070605040

20

0Male Headed HHs Female Headed HHs

100

80

60

40

100

0

SC ST OBC

Caste

The above graph indicates that in Tonto village, out of 30 PAFs, the

number of male headed households are 23 (76.67%) whereas the number of

female headed households are only 7 (23.33%) as these households are headed

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15

by female after the death of their husbands. So far as the caste composition is

concerned, it is observed that all the 30 households of Tonto village belong to

Kolha households (ST) which is mentioned in Table No-3A.

It is observed that almost all of the house holds are domiciles of the district

of Keonjhar in the state of Orissa. (Table No-3A)

It is observed in Table-3B that about 86% of the house holds are under

the nuclear family category and the rest 13% are in joint families. About 30% of

the households do not have a ration card of their own but about 80% have a

voter identity card. Moreover, about 63.33% of the households have BPL card.

Possession of BPL card by the house holds depends on whether the households

are below poverty line or not as per the survey of the government officials.

However, this could be estimated looking into the distribution of households

according to income in the present survey. These findings may not match with

the number of households as per the government record due to the fact that

some of the households who are actually below poverty line may not have been

included in the BPL list prepared by the concerned authority. (The contrary

argument may also be true).

It is also observed that no displacement has been taken place beforehand

in the village.

Distribution of Population:

Distribution of Population

Female,52.99%

Male, 47.01%

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16

Perce

ntage

ofPA

Ps

Male

Fema

le

Male

Fema

le

Male

Fema

le

Male

Fema

le

Male

Fema

le

Male

Fema

le

The above population status shows that out of 134 of total population of

the village, the female population in village consisting of 52.99% is more in

comparison to male population. Table No-4 shows the category of the families as

per the policy that the number of unmarried daughters/ sisters above 30 years

and physically handicapped is not available in this village. But in case of the male

persons irrespective of marital status is 25.37 percent out of which the

percentage of married is more than the unmarried consisting of 19.40 percent.

Very limited persons are coming under the category like orphan and widow

belonging to 1.40 and 5.22 percentage respectively. The list of the PAPscoming under the family category as per the R&R Policy 2006 is mentioned

in Table- 2A.

Age distribution of PAPs (Nalda)Percentage of PAPs

201816141210

8642

Nalda

0 Male FemalMe ale FemalMeale FemalMeale FemalMeale FemalMe ale Female

0-5 6--15 16-25 26-45 46-60 >60

Age Groups

The following graph shows the age distribution of the affected populationon the basis of sex.

Age Distribution of PAPs (Tonto)

1614

12

10

8 Tonto

64

20

0-5 6--15 16-25 26-45 46-60 >60

Age Groups

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17

Perc

enta

geof

PAPs

Table- 5 summarizes the distribution of family members according to age

group in the 30 households of Tonto village that there are 134 persons with an

average household size of 4.5. So far as the distribution of the family members

in the households is concerned, it is observed that there are 28 children (about

20.89%) who are below the age of 5 (both male & female) and there are 29

(21.64%) children in the school going age of 5-15 years. The working population

may constitute the members who are in the age group of 18 to 60 years (both

male and female). There are about 57.46 % of the total members who are in this

age group. No significant difference in the distribution of the percentage of

people in different age groups across the villages has been observed.

Educational Status:

Literacy status of PAPs of Tonto

353025 20.920151050

11.1917.16

29.85

8.2112.69

M F M F M F

Total Literate Members Illiterate Not school going

The above graph shows that the rate of illiteracy among the female

members is more than the male members. It may be pointed out that the children

below the age of 5 have been included in the category of illiterate as they are not

going to school. In case of Tonto village, it is found that out of 134 of total

population, only 43 members consisting of 32.09% are literate where the

percentage of women is only 11.2 %, Similarly the percentage of women

illiteracy(29.85%) is higher than the male illiteracy(17.16%). The distribution of

family members with respect the educational qualification is presented in Table

No-7.

It is observed in Table-6 that out of 43 literate persons, 36 members have

the primary level of education of which 15 members have completed and 21 are

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Agricult

ure

Wagela

bour

Busines

s

Salary

Pvtwor

k

others

continuing their primary education in the school. About 5 persons are having

qualification up to upper primary level and 2 male persons have completed the

education up to matriculation. Considering the distribution of family member

across the different levels of education, it may be said that there are no persons

found who have completed or continuing their education after matriculation level.

It may be said that as 21 children are continuing the education up to primary

levels indicates that the PAPs are aware and interested to provide education to

their children. Coming to the literacy level of female, it is observed that the

number of female members are low up to upper primary level in comparison to

male and it is totally negligible after that.

Occupational Pattern:

Table-7 summarizes the information on the occupational pattern of the

members of the house holds in the villages. As per the prescribed questionnaire,

it was required to collect information on the main and subsidiary occupation of

the households. The main occupation has been defined as that occupation in

which the head of the household is engaged for more than 180 days in a year.

Similarly, the households add to their household income from occupation other

than their main occupation. These have been classified as subsidiary occupation.

In village, Tonto, it is observed that as the PAPs have agricultural land, they are

not cultivating the agricultural land since four to five years due to low production.

So whatever occupation they are continuing are main occupations in the villages

are non-farm labour, small business and service etc.

Occupational Status of PAPs (Tonto)

60

50 58.53

40

30

20 12.19

10

0 0

9.76 14.63

2.44

Types of Occupation

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The above graph shows that in village, Tonto, out of 134 PAPs, only 41

PAPs consisting of 30.60 percent are engaged in different occupations i.e. wage

labour, private jobs, company job, business etc. It is found in Table- 8 that out of 41

PAPs, the majority of 25 PAPs are engaged in wage labour activities. In this

village, the wage activities are categorized as industrial, construction work and

mining work in BRPL, MESCO, K.N. Ram mines etc which are surrounded within

5kms of the village. As there is no cultivation in the village and nearby villages,

the number of members engaged in farm-wage is nil. There are 5 households

that have small business as their main occupation i.e. Dhaba and Handia

business by the women etc. There is relatively less number of households in the

villages who are depending on salary job and private work which constitute only

9.76 and 14.09 percent respectively of the total working members.

Distribution of Households According to Income:

The annual income of the households (rupees in current prices) was

assessed using the prescribed format. The income of all the members during the

last financial year (2009-10) from all the sources have been included in the

calculation of total house hold/family income. It may be pointed out here that

income figures are noted as per the answers provided by the respondents during

the survey. Therefore, the figures are approximate and we expect at least +/- 5%

error in estimation.

Income level of the PAPs (Tonto)

40,001- 50,000,12.19% ,

,

<10,000,14.63%

,30,001- 40,000,

14.64%

, 10,001- 20,000,26.83%

20,001- 30,000, ,31.71%

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A frequency distribution has been prepared with respect to the income

categories (starting with less than 10,000 rupees and subsequently with a class

interval of ten thousand). The highest category of the frequency distribution is

rupees 50 thousand. The information on income distribution with respect to the

said classification is presented in Table No-8.

It may be mentioned here that since the income figures relate to the last

financial year (2009-10) in current prices, it could be roughly assumed that the

number of households which are in the lower three income could belong to the

below poverty line category. This assumption has been made taking the

prescribed cut off house hold income for poverty line at the national level (Rs.22,

000/- per annum in the rural area).

In view of the above graph, our findings suggest that on the whole, there

are about 73.17% (30 households) of the total households belong to the below

poverty line category (may be with a few exceptions at the margin). However, it is

also equally important to point out that about 14.64 % of the households are

having income more than Rs.3 0,000/- to Rs 40,000/- per year. There are

12.19% households who have highest income category groups like Rs.4 0,000/-

to Rs 50,000/- per year

Housing and Amenities:

Information on housing and amenities available in the villages have been

collected with respect to ownership, type of construction i.e. pucca & kuchha ,

room available for living, type of roof i.e. tiled & concrete, type of floor i.e.

cement& earthen, use of building, provision of electricity, availability of bath

rooms, place for animal etc. The information collected from the households have

been presented in Table No-9.

It is observed that almost all the households have their own house in thevillage.

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Perc

enta

geof

PAP

s

Status of Housing of PAPs (Tonto)

706050403020 24.1410

58.62

10.346.9

0 0 0 0 01 2 3 4 5 6

Number of dw elling rooms

It is observed that the land record (Patta) of 9 households for their

homestead land is not available and the rest have a land record in their father’s /

grand fathers’ name which suggests that the houses have been built on

government land or land belonging to others. So far as the number of dwelling

room is concerned, it is observed in the above graph that 58.62 percent of

houses (17) have two rooms (including the kitchen room/space) and the

maximum 4 rooms are found among only 6.9 percent houses (2 households).

Similarly 89.65 % of the houses in the villages are with mud wall, 10.35 %

with brick with mud and there are no houses with brick and cement. About the

types of roof of the dwelling houses in the villages shown in Table No-10, it is

observed that about 86.20 % have roof with earthen tile and 13.8 % have tin and

khappar roofs. About the type of floor of the houses, it has been found that most

of the houses (89.65%) have earthen floor and 10.34 % houses have cement

floor. So far as the use of the houses is concerned, all the houses are used for

the respondents’ living purposes only.

One of the striking features in the villages is the use of electricity. Even if

the electric poles are available in the village, there is no connection of electricity

to the affected households.

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Perce

ntage

On availability of bathrooms within the house, toilet within or adjacent to

the house and washing place within the house, it is found that no any households

have bath rooms or toilet within or adjacent to their houses.

Land Particulars:

The information on possession of land, land leased in, operational holding,

the category of land holding etc have been summarized in Table No-10. While

collecting the information on possession of land by the households we have tried

to verify the land records available with the respondents. The details like Mauza,

Khata number etc. have also been noted in the questionnaire as per the

specification in the prescribed format. However, a few details like the khata

number, plot numbers etc have not been tabulated since it will not be necessary

for the present purpose.

From the findings reported in the above mentioned table, it is observed

that all the households have their own land other than homestead land which

they were using for agricultural purpose i.e. growing paddy to fulfill the staple

food requirement but at present due to dust, they are not cultivating since 3 to 4

years. Last year, very few 2 to 3 households had cultivated the land but as the

paddy were eaten by the cattle, they are disappointed and stopped cultivating. It

is observed that as nobody is interested to cultivate the land, so the

encroachment of government and forest land is not necessary for them.

Table No-11 shows the land distribution of the PAFs that 96.67 % of thetotal households are marginal farmers acquiring up to 2.50 acres of agriculturalland whereas the 3.33% of the household is small farmer acquiring 2.51 ac to5.00 acres of land.

Land Acquisition Status

120

100100

80

60 50.01

40

20

0Total land Land acquired

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23

In the above graph, it is observed that, out of 46.86 acres of private land of

the PAFs, only 23.439 acres representing 50.01 percent of private land is

acquired by the BRPL.

Labour Use Pattern of the PAPs:

Wage particular and labour use pattern in the villages have been

summarized in TableNo-12. Information on total number of workers along with

male and female break up, labour engaged within the village and going outside

for wages outside the villages have been summarized in the said table. In the

table it is found that the wage workers are mostly depend on the non-farm wage

outside the villages. So the number of persons engaged in wage labour outside

the village with respect to number of days engaged in a year such as less than

50 days, 50-100 days,100 to 200 days and more than 200 days have been

presented in the said table.

It is found in the Table-12 that there are 21 workers in the Tonto village,

with a break up of 14 male and 7 female workers. It may be mentioned here that

most of the households (96.67 %) in the village are marginal farmers and most of

them depend on wage labour throughout the year.

Our study reveals that out of 21 wage workers in the village are engaged

100 to 300 days in a year. The study further reveals that mining and industrial

wages contributed maximum of 200 to 300 days to the workers than the daily and

construction wage.

Possession of Livestock:

As mentioned earlier, most of the households are not depending on

agriculture for their livelihood, these households are not using the traditional

plough and bullock for tiling their land and other operation. The details of

possession of livestock by the households in the village have been summarizes

in Table No-13.

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24

It may be observed that out of the total of 12 households (40%) have

livestocks like bullocks, cows, calves, goats and hens etc. There are 12 bullocks

and 4 cows in the village. It is found that, the households generate an additional

income from selling the goats and hens rarely but use for the consumption

purpose. It is observed that as the households have no cowshed in their houses,

almost all the cows and bullocks are living under the trees and eat the crops

where possible. That is the important reason for the households not cultivating

the land.

Possession of Assets

The detail of possession of movable assets Table No-13. It is observed

that out of 30 households only 22 households have assets like cycle, phone,

scootor and motor cycles. So far as the possession of agricultural implements

are concerned, the villagers do not have agricultural implements, if some

households have , these are not used by them and destroyed. About possession

of other assets, it may be observed from the above mentioned table that there

are 17 bicycles, 9 motorbikes and 8 cell phones of the PAPs.

In addition to the above assets, almost all the households have possessed

the trees like mango, jackfruit, mahua, guava, lemon, blackberry,Koilari,Bara,

Kendu, char, Dumuri, Kusuma, Ambada, plump, tamarind etc.

Socio- economic Profile of the PAPs of Nalda:

Before analyzing the socio-economic details of the PAPs of Tonto village,

it is essential to know the demographic profile of the households.

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25

Perc

en

tag

eo

fP

AP

s

Perc

en

tag

eo

dP

AF

s

Status of Households of PAPs (Nalda) Social category of PAFs of Nalda village

90 80.958070605040302010

0

19.05

908070605040302010 0

0

80.95

19.05

Male Headed HHs Female Headed HHs SC ST OBC

The above graph indicates that in Nalda village, out of 21 PAFs, the

numbers of male headed households are 17(80.95 %) whereas the numbers of

female headed households are only 4 (19.05 %) as these households are

headed by female after the death of their husband. In case of social category of

PAFs of Nalda village, it is shown that out of 21 households, 17 households

consisting of 80.95 percent of total households are dominated by 4 OBC

households consisting of 19.05 percent.

It is observed that almost all of the households are domiciles of the district

of Keonjhar in the state of Orissa. Moreover, it is found in Table No-3A that only

8 households (38.09%) of the village Nalda are out of Orissa i.e. Jharkhand and

Gujurat. There are 5 households from Gujurat staying in Nalda village since a

long period.

About 66.67% of the households are under the nuclear family category

and the rest 33.33% are in joint families.

It is observed in Table-3B that about 23.33% of the households do not

have a ration card of their own but about 85.71% have a voter identity card.

About 66.67% of the households have BPL card. These findings may not match

with the number of households as per the government record due to the fact that

some of the households who are actually below poverty line may not have been

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26

included in the BPL list prepared by the concerned authority. (The contrary

argument may also be true).

It is also observed that no displacement has been taken place beforehand

in the village.

Distribution of Population:

Distribution of population

Female,44.32%

Male, 56.68%

The above population status shows that out of 88 of total population of the

village Nalda, the male population in village consisting of 56.68% is more in

comparison to female population. Table No-4 shows the category of the families

as per the policy that the number of unmarried daughters/ sisters above 30 years

and physically handicapped is not available in this villageBut in case of the male

persons irrespective of marital status is 39.77 percent out of which the

percentage of unmarried is consisting of 19.32 percent is less than the married

persons. Very limited persons are coming under the category like orphan and

widow belonging to 2.27 and 4.54 percentage respectively. . (The list of thePAPs coming under the family category as per R&R Policy-2006 ismentioned in Table- 2B)..

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Perce

ntage

ofPA

Ps

Per

cent

age

ofP

APs

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Age distribution of PAPs (Nalda)

201816141210 Nalda86420

0-5 6--15 16-25 26-45 46-60 >60

Age Groups

The above graph shows the age distribution of the affected population on

the basis of sex. The Table-5 summarizes the distribution of family members

according to age group in the 21 households of Nalda village that there are 88

persons with an average household size of 4.2. So far as the distribution of the

family members in the households is concerned, it is observed that there are 6

children (about 6.82%) who are below the age of 5 (both male & female) and

there are 18 (20.46%) children in the school going age of 5-15 years. The

working population may constitute the members who are in the age group of 18

to 60 years (both male and female). There are about 70.46 % of the total

members who are in this age group. The members who are above 60 years of

age constitute about 2.28% in case of male and female in the three villages taken

together. No significant difference in the distribution of the percentage of people

in different age groups across the villages has been observed.

Status of Literacy of PAPs of Nalda

40 34.0935302520151050

17.05 19.32 22.73

4.54 2.27

M F M F M F

Total Literate Members Illiterate Not school going

.

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Agric

ulture

Wage

labou

r

Busin

ess

Salar

y

Pvtw

ork

others

The above graph shows that the rate of literacy among the male members

is more than the female members. It may be pointed out that the children below

the age of 5 have been included in the category of illiterate as they are not going

to school. In case of Nalda village, it is found that out of 88 of total population,

only 45 members consisting of 51.14% are literate where the percentage of

women is only 17.05%, Similarly the percentage of women illiteracy(22.73%) is

slightly higher than the male illiteracy(17.16%). The distribution of family

members with respect the educational qualification is presented in Table No-6.

It is observed in Table-7 that out of 45 literate persons, 14 members have

the primary level of education. About 2 persons are having qualification up to

upper primary level and 11 persons have completed the education up to

matriculation level. It is found that 13 persons are up to graduation level and 4

have technical/ professional education. So far as the educational qualification of

the female members is concerned, it is observed that the female other caste

members are also going parallel with male members than the ST female. In

Nalda village, 6 technically qualified persons are found.

Occupational Pattern:

Table-7 summarizes the information on the occupational pattern of the

members of the households in the village. In village Nalda, it is observed that out

of total population of 88 members, only 39 PAPs representing 44.32 percent of

total population are engaged in different occupations.

Occupation Status of PAPs (Nalda)

50

40

30

20 7.69

100

41.02

20.51

7.69

23.08

0

Types of Occupation

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29

Percen

tageo

ftheP

APs

The above graph depicts that only 7.69% of the house hold have agriculture as

their main occupation and despite of agricultural land, the others have discontinued

cultivating land due to dust and low production. There are relatively more households

(19 PAPs representing 41.02 percent) engaged in wage labour activities in different

crossors, mining and loading work in the nearby areas. In this village, the non-farm

wage is more preferable that the farm wage labour due to more income and regularity

of work. There are 8 households representing 20.51 percent are engaged in

business i.e. transport, garment shops, operating saw mill, giving house rent, as

their main occupation in village Nalda. The new hotel business is going to be started

by one PAF recently. There are 9 members representing 23, 08 percent of working

members are engaged in private work i.e. electrician, driver, welder in the private

companies.

Distribution of Households According to Income:

The annual income of the households (rupees in current prices) was

assessed using the prescribed format. The income of all the members during the last

financial year (2009-10) from all the sources have been included in the calculation of

total house hold/family income. It may be pointed out here that income figures are

noted as per the answers provided by the respondents during the survey. Therefore,

the figures are approximate and we expect at least +/- 5%error in estimation.

Income level of PAPs (Nalda)

40

3530

2520

15 10.2610

50

12.82

35.9

2.56

7.69

12.8210.26

2.565.14

Income of the PAPs

A frequency distribution has been prepared with respect to the income

categories (starting with less than 10,000 rupees and subsequently with a class

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interval of ten thousand). The highest category of the frequency distribution is

above rupees 50 thousand. The information on income distribution with respect

to the said classification is presented in Table No-8.

It may be mentioned here that since the income figures relate to the last

financial year (2009-10) in current prices, it could be roughly assumed that the

number of households which are in the lower three income could belong to the

below poverty line category. This assumption has been made taking the

prescribed cut off house hold income for poverty line at the national level

(Rs.22,000/- per annum in the rural area).

In view of the above graph, our findings suggest that on the whole there

are about 58.98% (23 households) of the total house holds belong to the below

poverty line category (may be with a few exceptions at the margin). However, it is

also equally important to point out that about 5 households (12.81 %) households

are having income more than Rs.50, 000/- to Rs.1, 00,000/- per year. It is

remarkable that there are 7 households (17.96 %) who have income of

Rs.1,00,000 to Rs 4, 00,000/- per year and all these households are involved in

business and service.

Housing and Amenities:

The information collected on housing from the house holds have been

presented in Table No-9. It is observed that almost all the households have their

own house in the village except one widow who has been residing in the rented

house in Nalda. There are 3 households whose land records for homestead land

is not available of which two households are on lease land and one house have

been built on government land or land belonging to others.

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Perc

entag

eof

PAPs

Status of Housing of PAPs (Nalda)

5045 , 42.86

403530252015105

, 19.05, 14.29

, 9.52, 14.28

0 , , , , , ,One Two Three Four Five More then

Five

Number of Dwelling Room

So far as the number of dwelling room is concerned, it is observed in the

above graph shows that 42.86 % of houses (9 hhs) have only one room

(including the kitchen room/space) and 14.28 % of households have more than

five rooms. The Table No-10 shows that about 52.38% of the houses in the

village are with mud wall, 28.57% with brick with mud wall and 19.04 % are with

brick and cement wall. About the types of roof of the dwelling houses in the

village, it is shown in Table No-10, about 52.38 % have roof with earthen tile and

47.62 % have tin and khappar roofs. About the type of floor of the houses, it has

been found that most of the houses (66.67%) have earthen floor and 33.33%

houses have cement floor. So far as the use of the houses is concerned, all the

houses are used for the respondents’ living purposes only except one household

who is giving his house on rented basis.

One of the striking features in the villages is the use of electricity. There

are about 57.14% households who have access to electricity.

.On availability of bathrooms within the house, toilet with in or adjacent to

the house and washing place with in the house, it is found that about 28.57% of

the households have bath rooms or toilets within or adjacent to their houses.

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Per

cent

age

Land Particulars:

Table No-10 summarizes the information on the on possession of land,

land leased in, operational holding, the category of land holding etc. From the

findings reported in the above mentioned table, it is observed that all the

households have their own land other than homestead land which they were

using for agricultural purpose but at present due to dust, except 6 households,

others are not cultivating since 3 to 4 years. It is observed that as nobody is

interested to cultivate the land, so the encroachment of government and forest

land is not necessary for them.

Table No-11 shows the land distribution of the PAFs that 57.14 % of the

total households are marginal farmers acquiring up to 2.50 acres of agricultural

land whereas the 19.05% of the household is small farmer acquiring 2.51 ac to

5.00 acres of land and the number of medium farmers acquiring 5.01 acres to 10

acres of land is 23.81%. .

Land Acquisition Status of Nalda

100.1100

99.999.899.799.699.599.499.399.2

100

99.5

Total land Land Acquired

In the above graph, it is observed that, out of 83.81 acres of private land of

the PAFs, only 83.40 acres representing 99.50 percent of private land is acquired

by the BRPL.

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Labour Use Pattern of the PAPs:

Wage particular and labour use pattern in the villages have been

summarized in Table No-12. It is further observed that relatively very less

number of persons (3 HHs) who have cultivation, are engaging themselves in

agricultural work and in the rest period in wage labour in outside villages.

It is found in the Table-13 that there are 16 workers in the Nalda village,

with a break up of 9 male and 7 female workers. In the present survey, it is found

that there is large number of persons engage themselves in non-agricultural

labour.

In the present survey, it is found that there is large number of persons

engage themselves in non-agricultural labour. Our study reveals that out of 16,

11 wage workers in the village are engaged 100 to 200 days and 5 members are

in 200 to 300 days in a year.

Possession of Livestock:

The details of possession of livestock by the households in the village

have been summarizes in Table No-13.

It may be observed that out of the total of 21households, only 9

households (42.85%) have livestocks like bullocks, cows, calves, goats and hens

etc.

Possession of Assets:

The detail of possession of movable assets Table No-14. It is observed

that out of 21 households, only 18 households have assets like cycle, phone,

scootor motor cycles, TVs and four wheelers. So far as the possession of

agricultural implements are concerned, very few villagers (only 4 households)

have agricultural implements. About possession of other assets, it may be

observed from the above mentioned table that there are 12 bicycles, 3

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motorbikes, 4 bolero/ Marshals, 7 TVs and 10 cell phones available among the

PAPs.

In addition to the above assets, almost all the households have possessed

the trees like mango, jackfruit, mahua, guava, lemon, blackberry, Ambada,

plump, tamarind etc. There were four households who had plantation before but

now there is no tree there.

Entitlement Matrix:

As per the Guidelines for conduct of Socio-Economic Survey of Orissa

Resettlement and Rehabilitation Policy-2006, it is clearly mentioned that, the

report must prepare a separate, clear and complete Entitlement Matrix for each

family and its members. According to R&R policy-2006 for Industrial project, the

Rehabilitation Assistance (RA) will be relevant for those PAFs losing all

agricultural (100%) land but not the homestead land. In case of BRPL, it is found

in Table-15 and Table-16 that, only 3 main ROR ( 1 from Tonto village and 2

from Nalda village) have lost all agricultural land and shall be eligible for

employment. As there is no displacement of the households occurred in the

affected area, so except employment, other information in the Entitlement Matrix

are not applicable. In case of entitlements, the employment are only provided to

the eligible PAPs on the basis of their percentage of land acquisition which is

mentioned in the table-17 A & 17B .

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Par t Three

Village Profile:

Village Description - Tonto

The village Tonto is coming under Bhadrasahi panchayat of Joda block of

Keonjhar district. It has 100 years of history behind. As stated by the inhabitants,

their ancestors mainly Munda communities have migrated from Jharkhand and

some of the others have from the border area of Mayurbhanj and Keonjahar

district. The village has a geographical area of about 543.73 acres out of

which167.10 acre forest, 61.22 acres are un-irrigated (no irrigated land) and the

rest are others like waste land, village common land, grazing lands etc. The land

distribution pattern reflects that there are about 60% high land, 30% medium land

and 10% low land. The village consists of three hamlets namely Huli/Gutusahi,

Majhisahi, Uppersahi and Indiracolony with 140 households out of which 86

households belong to scheduled tribes 17 belong to schedule caste and 37

belong to OC (other castes). The village is in process to be electrified. The main

road of the village is murrom in good condition and internal road between the

hamlets are footpaths. The housing pattern is maximum kuchha and very few

pucca with earthen tile roofed houses. National highway 215 is very close to the

village. The total village covers with forest and iron mines and crusser plants

operating around the villages.

The major occupations of the households are wage labour. Though almost all

households are having agriculture land but, very limited households are involved

in agriculture. The livestock possessed by the households are mainly bullock,

cows, sheep, goat, chicken etc.

The village has UP schools and also an Anganwadi Centre in the heart of

the village. For higher study like high school and college, the children usually go

to Bhadrasahi and Barbil respectively. The village has the skill hands such as

Drivers, Mason and Motor mechanic.

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Unlike other Panchyat village, Tonto is deprived of infrastructural facilities.

As far as water resources is concerned, there are 4 private wells, 2 tube wells

and one stream in the village. After that mobile water tank has been provided by

Mesco Mines which is the only source for them.

The villagers used to go to Barbil and Joda for any types of medical

treatment. After that they are also taking help of Anganawadi didi and traditional

health practitioner. As inquired the village is a Malaria porn area which is a

serious health hazard to many villagers. Again jaundice, gastric and skin

diseases are very common to them.

Accessibility to facilities and Institutions:

SlNo.

Particulars PlaceDistance(in km)

1 Panchayat Headquarter Bhadrasahi 03

2 Block Headquarter Joda 13

3 District Headquarter Keonjhar 72

4 Post Office Bhadrasahi 03

5 Revenue Inspector Office Barbil 07

6 Tahasil Office Barbil 07

7 Police Station Barbil 07

8 Main Market Barbil 07

9 Local Hat Barbil 07

10 Nearest Bus Stop Tonta 00

11 Nearest Rly- station Barbil 07

12 Nearest Town Barbil 07

13 Nearest Fire Brigade Office Joda 34

14 Forest Barbil 07

15 Agriculture Office/ Horticulture office Barbil 07

16 Nearest Medical/ Additional P.H.C Barbil 07

17 Homeopathic dispensary Barbil 07

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18 Ayurbedic dispensary Barbil 07

19 Live-stock Center Barbil 07

20 Lift Irrigation Point No

21 Anganawadi Center/ Sub-Center Tonto

22 U.P

M.E

High School

Tonto

Bhadrasahi

serenda

00

03

04

23 Ashram school/D.P.E.P / NFE Center/

Private School

Bhursunga 03

24 College Barbil 07

25 Electrification to Village No

26 Getting PDS Items Jhargaon 02

27 Telephone Booth Tonto

28 Tourist Spots Murgamahadev 21

29 Drainge facilities No

30 Burial ground Yes

Village Description – Nalda

The Nalda (ward No:- 1) is coming under administrative jurisdiction of

Barbil Muncipalty situated 7 km. distance from Barbil. It has more than 150 years

of history behind. All most all types of communities like, schedule tribe, schedule

caste other caste and religion people are settled here since before

independence. As stated by the inhabitants, their ancestors’ have migrated from

various places of India and mostly from Jharkhand, Bihar, Gujurat, Westbengal,

etc and some of the others have from the Keonjahar and other district of Orissa.

The land distribution pattern reflects that there are about 50% high land, 30%

medium land and 20% low land. The ward consists of ten hamlets namely Ghasi

hutting, MMTC Colony, Jharana sahi, Hesaburu sahi, Bakal hatting, football

Maidan, Border sahi, Hirakud Colony, Rakhal sahi and School sahi with 800

households. The main road from Barbil to Badajamda is going inside the Nalda

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and condition of the road is very worst. The inside road is also same as main

road. The housing pattern is both kuchha and pucca. The town Badajamda is

very close to Nalda which is belongs to Jharkhand state. The total Nalda covers

with forest and iron mines and iron crusser and plants operating around the area.

The major occupations of the households are business, service and wage labour.

Though some of the households are having agriculture land but, very limited

households are involved in agriculture. The livestock possessed by the

households are mainly bullock, cows, sheep, goat, chicken, pig, etc.

The village has UP, ME and High schools and also an Anganwadi Centre

and sub-centers in different hamlets of ward. For higher study like college,

professional and technical education, the children and youths usually go to Barbil

and other places within and outside of Orissa respectively.

Unlike other wards of Barbil municipality, Nalda is deprived of

infrastructural facilities. In communication, the inhabitants are facing major

problems due to worst road condition and traffic jam. Even the students and

common people are not able to reach their work place destinations in their daily

life. As far as water resources is concerned, there are 45 private wells, 3 Govt.

wells, 12 tube wells, 1 pond and one stream available in Nalda.

The villagers used to go to Barbil and Badajamda for any types of medical

treatment. After that they are also taking help of Anganawadi worker and

traditional health practitioner. Like other areas of the district, Nalda is one of the

Malaria porn area which is a serious health hazard to many villagers. Other than

Malaria, jaundice, gastric and skin diseases are very common in the locality.

Accessibility to Institutions and facilities:

Sl.No.

Particulars PlaceDistance(in km)

1 Municipality Headquarter Barbil 08

2 District Headquarter Keonjhar 85

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3 Revenue Inspector Office Barbil 08

4 Tahasil Office Barbil 08

5 Police Station Barbil 08

6 Main Market Badajamda 01

7 Local Hat Badajamda 01

8 Nearest Bus Stop Badajamda 01

9 Nearest Town Badajamda 01

10 Nearest Fire Brigade Office Joda 23

11 Forest Nalda 00

12 Agriculture Office/ Horticulture office Joda 23

13 Nearest Medical/ Additional P.H.C Barbil 08

14 Homeopathic dispensary Nalda 00

15 Ayurbedic dispensary Champua 42

16 Live-stock Center Barbil 08

17 Lift Irrigation Point No

18 Anganawadi Center/ Sub-Center Nalda 00

19 U.P/ M.E/ High School Nalda 00

20 Ashram school/D.P.E.P / NFE Center/

Private School

Barbil 08

21 College Barbil 08

22 Electrification to Village Partially

23 Getting PDS Items Nalda 00

24 Telephone Booth Nalda 00

25 Tourist Spots Nalda 1.5

General Infrastructure:

Community based Infrastructures are most necessary which influence

their daily life and provided a better social status in the locality and indicate a

high living standard at large. Therefore, survey was conducted in the affected

area to find out a detail report on the social and community level infrastructures

available in the affected area. Accordingly, community key persons, youth

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leaders and PRI members were called for and transact walk, mapping and focus

group discussion was carried on the affected areas. The available infrastructure

are listed below which were observed during the course of survey.

Infrastructural Status of Village TontoSl. No. Infrastructure/ Facilities No.

1 UP school 1

2 Anganawadi center 1

3 Tube well 2

4 Village forest area 1

5 Pasture land 1

Above are the community level infrastructures available within the village

Tonto which are very few and not enough for their common use. It is seen that all

the households are facing water problem and mostly depend upon mobile water

tank and stream to meet their daily requirement. So, care must be taken to set-up

the necessary infrastructure for the community as they are affected by the

project.Infrastructural Status of Nalda

Sl. No. Infrastructure/ Facilities No.

1 UP School 1

2 ME School 1

3 High School 1

4Anganawadi center/ sub-center 03

5 Tube well 12

6 Open well 2

7 Temple 2

8 Village forest area Yes

9 Pasture land Yes

10 Adibandha 1

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11 Forest Office 1

12 Homeopathic dispensary 1

13 Post office 1

As per the above table infrastructures are available within Nalda areas

which are not sufficient for the total inhabitant residing in ward no. 1. Some

necessary infrastructures may be provided by the company as per their

immediate needs. All most all households are mainly depended on tube well for

domestic use and pond and stream water used for bathing purpose. But in

summer some of the households depended on stream water for domestic use

due to the shortes of water in tube well. The pond and stream water fulfills water

requirement of the grazing cattle.

Socio- cultural Properties:

This is most important to identify the socio- cultural component of the

affected villagers within each of the ethnic, caste and religious groups to explore

their social system and cultural behavior. Specifically for the tribal, their social

and cultural living is something different from other communities and they give

more value and respect to their socio- cultural pattern. While conducting the

survey in the field, we found that the Mundas are dominant community in both

affected area and very few other social groups are attached with them. Often

they are separate from each other in their independent thought and believe, all

come under one religion i.e. Hinduism. Most of the days of worship and

celebration are observed as per the days specified in their traditional manner. It

is observed that, they are all binding like a festoon with string of relation.

In case of both affected areas (Tonto and Nalda) Mundas are major group

and they are mostly observed Baa Parab, Herab Parab, Maghe Parab and Bisri

Parab as their prime festivals with less expenses, love and co-relationship. They

are worshiped God and Goddess viz. Marang Buru, Bunga Buru Sun God, Shakti

Maa, etc. Again they also observed Makara, Raja Sankaranti, Trutia and Nuakhai

as another main festival. Besides the above festivals, all the communities are

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worshiped to Hindu god and Goddess like, Lord Jagarnath, Lord Ram, Lord

Krishna, Goddess Laxmi, Maa Kali, Grameswari, Maa Durga, Ganesh,

Hanuman, etc. celebrated by all communities as family festivals celebrated

mutually which influence the sentiment and emotions of the people. All the

festivals and worship are celebrated in two levels, in household level and in

community level. All are actively and eagerly cooperate and enjoy the festivals.

Along with the celebration of different festivals and worships there are

some cultural infrastructures available in the affected areas are stated below.

NaldaTonto

1. Shiv Temple2. Grameswari Sala

1. Shiv Temple2. Laxmi Narayan Temple3. Grameswari Pitha4. Durga Mandap5. Festival Ground

Above are the socio- cultural infrastructures available in the affected

areas. So, special care may be taken for both the affected areas to continue and

increase their cultural believes by providing support and services.

Resource Map: (Attached in Annexure)

The survey team identified a number of resource centers during the

process of survey. Even there are some resources not necessarily established in

the project area, but convenient to the affected area to take the benefits. Banking

services, various Govt. departmental offices, marketing arrangements and

communication facilities were remarked in the process.

As seen in the map forest and barren agricultural lands are available over

a large patch of land around the affected areas. Nalas and Tube wells are the

main water resource of the affected areas. The lands are mixture of high,

medium and low land with a percentage of 60%, 30% and 10% in case of Tonto

and 50%, 30% and 20% in case of Nalda respectively.

Very limited household is having a kitchen garden in which they grow

vegetables for their own consumption. Main vegetables are drumstick, pumpkin,

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brinjal, tamato, bean, cucumber, papaya, chilly, green leaves, etc. In the non-

farm activity majority have chicken rearing and some people have cow, bullock,

goat and sheep.

Social Mapping: (Attached in Annexure)

Social map is another important aspect for this survey to know about the

settlement pattern of the affected area. In any social map is that it would reflect

the differences in the socio-economic status of the villagers in such a manner

that the comparison is made obvious. Since the villagers were not in favour of

making such classifications, it is not getting reflected in the social map shown

here. However, details about many aspects pertaining to the society and their

living are depicted in the social map. The survey team observed some major

findings from the social map. Habitations are scattered over a large area with

little distance from hamlet to hamlet. Internal road connectivity is mainly Kuchha

roads with very little Murum Road. Temple, School, Anganwadi Centre are not

well located in the village for which some households are not getting thes

services properly. Most of the houses do not have easy access to tube wells and

mobile water tank service.

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General Observation(Survey findings, people’s expectation, Few recommendations):

1. It is observed that the project is not going to displace a single family for which the

extension of employment is not compulsory. But as per the R&R policy’2006 of the Govt

of Orissa, the same facility will be given to the PAPs those who are losing 100% land. So,

under the project such facility shall be given to 08 PAPs either in the form of employment

or onetime cash assistance in lieu of employment. The cash in lieu of employment for this

category is Rs.1,25,000/- per PAP according to the present modification.

2. The study also reveals that the income of the affected families have substantially grown up

due to emergence of industries near to them for which they are getting the engagement.

But on the other hand, the analysis indicates that maximum PAP’s income remains within

10,000 to 30,000 in a year which is very less in comparison to the minimum requirement

for bare necessities of life.

3. Due to non-farm source of income, the primary occupation i.e. agriculture of the affected

families is gradually neglected for which no resentment is indicated to share the land with

the company. Secondary sources from the labour activities, service in private sectors and

business have transformed to primary sources due to lack of interest in agriculture.

4. The project has proposed to acquire 240.439 acres of land out of which the private land

comes around 106.812 acres. Rest land are Govt. and Jungle land. Again the jungle land

is 97.948 acres where the dependency of the affected families might be higher related to

their livelihood out of the forest produces. But in this connection, the affected families may

not grossly affected as they have large portion of jungle land is still exist.

5. The women SHGs and youth clubs in the above two villages indicates the efforts of the

women to work in an organized manner. The table is enclosed for ref. in table No-18.

Women SHGs are being organized for ensuring sustainable livelihood and youth clubs

plays vital role for community transformation process. There is need gear up the capacity

building and skill development of these organizations to ensure the self employment.

6. During the process of survey and interaction with the people by adopting PRA process, it

is felt that no such social infrastructures have been affected under the acquired area.

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7. As regards to the perception of the PAP, they need the company should take initiative

to ensure their basic needs for which they are facing the problem like drinking water,

health and sanitation.

Recommendations:1. The Rehabilitation Action Plan(RAP) should specifically be prepared by giving higher

attention to provide adequate developmental services to the PAP for which the sense

of expectance to the company will continue. Following activities are to be included in

RAP:

a) The employment or cash lieu of employment to be kept in the RAP as per the

entitlement matrix of SES.

b) Women are the potential force and supportive member of the family out of the income

they earn during their extra time apart from the household activities. Different case

studies have clarified that women act very successfully in SHG level. But the tribal

women are not adequately involved due to lack of their illiteracy and group

management skill. So, the project authority should keep special provision in RAP for

the capacity building and skill development of the women by the way of training along

with seed money support to utilize the traditional skill of the women which will provide

them sustainable source of income. This will be a biggest support to the family income.

c) The youth club should be facilitated with the capacity building training and minimum

support services to activate the clubs. On the other hand, skill development training

should also be planned in RAP to make them self reliant.

d) In coordination with the line dept, the company authority should make available the

Govt schemes to the affected people by which they can able to get the benefits.

2. There is need to prepare a Corporate Social Responsibility(CSR) plan to facilitate

common actions in the affected villages in continuous process by paying more

attention on health, education for children, environment restoration through massive

plantation under the provision of compensatory afforestration, restoration of cultural

system and others.

3. It is also equally important to have a pro-people based periphery development plan to

extend some activities for the periphery villages. This may include in CSR plan.

4. The tribal community is well recognized only for the traditional culture. This is part of

their life, unity and integrity. So, the company authority will keep a suitable plan for

revival of their traditional culture.

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46

Part Four

Conclusion and SuggestionsThe Socio Economic Survey and Socio-Cultural Resources Mapping and

Infrastructure Survey is limited to the study of affected families in the project area

of M/s. BRPL Project in Keonjhar district. The survey covered 56 families

covering Tonto and Nalda. The main objective of a socio-economic survey is to

collect, assemble, analyze, interpret and to provide the base-line socio-economic

status of the people living in the affected areas, Tonto and Nalda in the district of

Keonjhar. It is also intended to provide data inputs, both quantitative and

qualitative, that are required for formulation of rehabilitation action plan. The

information required are about the habitat from which people are affected, its

geographical features, infrastructures, its advantages and life supporting natural

resources, social and cultural aspects etc.

It is extremely important to possess comprehensive and document

information about the socio-economic and cultural aspects of project affected

people because it provides the basis for preparing a realistic Rehabilitation

Action Plan. It has been found that projects where R&R is carried out without

adequate socio-economic baseline data on the project affected people, are

unsuccessful in achieving their objectives. The Rehabilitation Action Plan has

therefore to be based on analysis of selected socio-economic and cultural

parameters that highlight the profile of the project affected people.

The theme covered in the survey and the findings are explained principally

the demographic profile of the affected families; occupational status, income from

various occupations, resource base, particularly the land ownership status of the

families; common property resources; socio cultural issues; developmental

intervention in the village by the Govt. and non-governmental organizations etc.

The findings are exclusively based on the individual interaction with heads of

households, their representatives living in the village and the outcome of FGD

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47

and PRA exercise. It is observed that there are majority of tribal people (Munda)

who inhabit in both surveyed villages.

As per the study findings on the socio-economic aspects of the project

affected persons/ Households and socio-cultural infrastructure a few suggestions

are made which are as follows.

The findings of the present socioeconomic study suggest that most of the

affected households are primarily depending on wage. Similarly a few

households depend on service/ private job in the nearby places. However,

the employment (both direct and indirect) of the people in the plant has to

be given utmost importance.

The provision of employment opportunities to the affected families will

primarily depend on the nature of human resource. Our study revealed

that most of the affected people are below Middle English (ME) and very

few individuals are educated above ME. Moreover the plant authorities

may enhance the educational level of the people by establishing schools

and by providing technical training to the local youth for employment in the

plant. The company may sponsor suitable candidates to local ITI in a

phased manner.

Since establishment of the plant will have a significant impact on the

livelihood options, the plant authorities may hire an NGO for guiding the

villagers to have alternative income generating activities. A few training

programmes could be identified and training imparted to the local people

for a sustainable livelihood option especially to those who will loose their

livelihood. For such alternative income generating activities a market

survey may be necessary which could be done by an expert in the field.

Our interaction with the people suggested that many of the households

aspire to get a job in the plant. Thus up gradation of skill for the local youth

in the long run and provision of employment to at least one person of the

affected family may help improving their economic condition.

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48

NEED-BASED CSR ACTIVITIES SUGGESTED TO BE UNDERTAKEN BY M/SBRPL IN THE AFFECTED VILLAGES

Social Sector

Confidence Building Exercise

The company should have face-to-face interaction in regular basis

with the affected people so that people feel importance of the

project and start relying on the company.

Establish dialoging process with the people

Economic Sector

Immediate direct/ indirect employment to the affected family members based

on discussion.

Vocational training to the interested youths for possible employment.

Measures for protection of remaining agricultural lands

Environment Sector

Social forestry plantation for ensuring greenery in the area.

Measures for checking pollution.

Health Sector

Health camps in villages once in every month with the help of professional

medical practitioner and supply of medicines at subsidized rate.

Ambulance facility for emergency cases.

Education sector

Early childhood education centers.

Functional literacy centers for youths and adults both men and women.

Infrastructure

Strengthen the village road, community hall, and drinking water facility, etc in

consultation with the villagers.

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FUTURE POTENTIAL ACTIVITIES SUGGESTED FOR THE SOCIO-ECONOMIC DEVELOPMENT OF THE AFFECTED AREAS

PROGRAMME ACTIVITIES

Women Empowerment Formation of Mahila Mandals Formation of women SHGs

Community basedorganizations/village institutions

Village Committee Youth Association Health Committee

Social Security of the old agedpersons

Provision of old age pension and healthcheck up.

Environment and Sanitation Individual and community plantation Provision of individual latrines and safe

drinking water

Village infrastructure Create need-based infrastructure and

strengthen the existing infrastructure.

Special Drive for ST people

Awareness camp on education Motivation and 100% enrolment in the

class Provide reading material free of cost Awards for best students

Health Health awareness camps Regular health check up Ambulance facility

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TablesTable No.01

List of the Project Affected families1A.PAF list of Village Tonto

Sl.No

Nameof theVillage

Name of RoR Holder Name main householder Name of PAP Age Education

1 Tanto L. Gahma Munda S/o- Turam Bagun Munda Bagun Munda 45 Illiterate

2 L. Gangi Munda W/o- Gardi Tapar Munda Rahul Munda 19 Illiterate

3 Manchuria Munda Manchuria Munda 40 Illiterate

4 Suka Munda Suka Munda 35 8th class

5 L. Ghana Munda S/0- Rile Bami Munda Bami Munda 40 5th Class

6 Rale Munda Rale Munda 32 5th Class

7 Lalsingh Munda Lalsingh Munda 38 5th Class

8 L. Dhunda Munda S/o- Galai Munda Sumi Munda W/o- L. RaleSumi Munda W/o- L.Rale 50 Illiterate

9 Jana Munda W/o- L. RamJana Munda W/o- L.Ram 35 Illiterate

10 L. Desa Munda S/o- l. Laba Indra Munda Indra Munda 50 Illiterate

11 L. Krupa Munda Muna Munda 19 5th Class

12 L.Budhu Munda S/o- TirigaL. Jatra Munda S/0- L.Raya Late Illiterate

13Nilamber Munda S/o- L.Padia

Nilamber MundaS/o- L. Padia 35 Illiterate

14 Pitu Munda S/O- L. PadiaPitu Munda S/O- L.Padia 30 Illiterate

15 L. Mahana Munda S/o- RandaDimbe Munda W/o- L.Mahana Jadu Munda 30 5th Class

16 Laba Munda 24 5th Class

17 L. Chamuru Munda S/o- LabaBudhiram Munda S/o- L.Mohanty Budhiram Munda 30 Illiterate

18Gharabari Munda w/o- L.Mohanty Gharabari Munda 30 Illiterate

19Mandai Munda W/o- L.Jugal Milan Munda 23 8th class

20 Sukuram Sidhu Jena Munda 30 3rd class

21 L. Raya Munda S/o- Budhu Same As Sl. No. 12

22 L. Ratha Munda S/o- Guru Jani Munda ( Wife) Jani Munda 45 Illiterate

23 L. Ragudi Munda S/o- Jhagudu L. Chamuru Munda Madan Munda 28 5th Class

24 Chulu Munda Chulu Munda 40 Illiterate

25 Sama Munda Lala Munda 23 Illiterate

26 L. Sudhir Munda 22

27 Sabir Munda 20 5th Class

28 L. Saluka Munda S/o- Randa Pala Munda D/o- Saluka

29 L. Bada Munia Munda S/o- BachaLemba Munda W/o- L.Bacha Lemba Munda 40 Illiterate

30Sukalal Munda S/o- L.Sama Munda Sukalal Munda 24 Illiterate

31 Raya Munda Raya Munda 34 Illiterate

32 Budhu Munda Budhu Munda 30 Illiterate

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Table No.01List of the Project Affected families

1A.PAF list of Village NaldaSl.No

Nameof theVillage

Name of RoR Holder Name main householder Name of PAP Age Education

1 Nalda L.Kusunu Munda S/o: Ganga Gangaram Munda Sunil Munda 23 Under matric

2 Sunia Munda 32 Illiterate

3 L.Singarai Munda S/o:Ganga Sanibari Munda Nrusingh Munda 30 Illiterate

4 L.Patra Munda, S/o: GadeJabidi Munda w/o: L.TotaMunda Jokar Munda 28 Illiterate

5 L.Chameli Lal, w/o: Gopal Lal Bholanath Sahay Nitesh Kumar Lal 25 Graduate

6 Ritesh Kumar Lal 23 Graduate

7 Chandan Lal 21 Graduate

8L.Jadabji Bhanu Chauda, S/o:Bhanu Naji Jiten Ku. Chauda Deepak Kumar Chauda 22 Graduate

9 Rabi Gouri 25 ITI

10 Biki Gouri 23 ITI

11 Putulu Gouri 18 Under matric

12 Kamlesh Chauda 36 Under matric

13 Kiran Chauda 34 Matrci

14L.Jadabji Bhanu Chauda, S/o:Bhanu Naji Badal Gouri Sunedar Gouri 29 Illeterate

15 Mangal Munda, S/o: Palau Mangal Munda Mangal Munda 32 Under matric

16 Dayaram Chauda , S/o: R.Nanji Dayaram Chauda Kamlesh Chauda 36 Under matric

17 L.Rida Munda , S/o: Udia Rusi Munda 30 Under matric

18 L.Kusunu Munda, S/o: Kande Madana Munda Sunia Munda 30 Under matric

19 L Bajae Munda Mangae Munda Anil Munda 30 Under matric

20 Bipin Munda 18 Under matric

Table No-2

2A. List of PAPs According to R&R Policy-2006 of Tonto Village

a. List of Above 18 years unmarried Sons

SlNo

Name of thePAPs Father’s Name Age Marital

Status1 Rahul Munda Tappar Munda 19 Unmarried2 Muna Munda Krupa 19 Unmarried3 Madan Munda Sukuram Sidhu 28 Unmarried4 Lala Munda Sama Munda 23 Unmarried5 Sudhir Munda Sama Munda 22 Unmarried6 Sabir Munda Sama Munda 20 Unmarried7 Dilip Munda L Sama Munda 22 Unmarried8 Sunia Munda L Sama Munda 18 Unmarried

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b. List of Above 18 years Married Sons

SlNo Name of the PAPs Father’s Name Age Marital

Status1 Bagun Munda L.Gahma 45 Married2 Tapar Munda L.Gardi Munda 45 Married3 Manchuria Munda L.Gardi Munda 40 Married4 Suka Munda L.Gardi Munda 35 Married5 Bami Munda L.Ghana Munda 40 Married6 Lalsingh Munda L.Ghana Munda 38 Married7 Rale Munda L.Ghana Munda 32 Married8 Suban Munda L.Rale Munda 22 Married9 Indra Munda L.Desa Munda 50 Married

10 Gurucharan Indra Munda 25 Married11 Krupa Munda L.Desa Munda 40 Married12 Jatra Munda L.Raya Munda 40 Married13 Pandu Munda Jatra Munda 19 Married

14 Nilambar MundaL. BudhuMunda 35 Married

15 Pitu Munda L.Pandu Munda 30 Married

16 Jadu MundaL.MahanaMunda 30 Married

17 Laba MundaL.MahanaMunda 24 Married

18 Budhiram MundaL.MohantyMunda 30 Married

19 Milan Munda L.Jugal Munda 23 Married

20 Sukuram SidhuL.ChamuruMunda 55 Married

21 Jena Munda Sukuram Sidhu 30 Married

22 Chulu MundaL.RagudiMunda 40 Married

23 Sama MundaL.RagudiMunda 35 Married

24 Sukalal Munda L.Sama Munda 24 Married

25 Raya MundaL.Bada MuniaMunda 34 Married

26 Budhu MundaL.Bada MuniaMunda 30 Married

c. List of Orphans

SlNo

Name of theOrphan Father’s Name Age Sex Marital

Status

1 Sunei Munda

Grand daughterof L. MahanaMunda 3 Female Unmarried

2 Maka MundaL.ChamuruMunda 17 Male Unmarried

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Sl No Name of the PAPs Father’s Name Age MaritalStatus

1 Sunil Munda Gangaram Munda 23 Unmarried

2 Sunia MundaL. Kusunu Munda

32 Unmarried

3 Nursingha MundaL.Singarai Munda

30 Unmarried4 Jokar Munda L.Patra Munda 28 Unmarried

5 Nitesh Kumar LalBhlonath Sahaya

25 Unmarried

6 Ritesh Kumar LalBhlonath Sahaya

23 Unmarried

7 Chandan LalBhlonath Sahaya

21 Unmarried8 Deepak Chauda Ramesh Chauda 22 Unmarried9 Rabi Gouri Badal Gouri 25 Unmarried

10 Biki Gouri Badal Gouri 23 Unmarried11 Putulu Gouri Sunedar Gouri 18 Unmarried

12 Kamalesh ChaudaDayaram Chauda

36 Unmarried

13 Kiran ChaudaDayaram Chauda

34 Unmarried

14 Chandresh ChaudaDayaram Chauda

30 Unmarried15 Rusi Munda L.Rida Munda 30 Unmarried16 Anil Munda L.Bajae Munda 30 Unmarried17 Bipini L.Bajae Munda 18 Unmarried

d. List of WidowsSl No Name of the

Widow Husband’s Name Age

1 Sumi Munda L. Rale Munda 502 Jana Munda L.Rama 353 Dimbe Munda L.Mahana Munda 50

4 GharabariMunda L.Satrughna 30

5 Mandai Munda L.Jugal Munda 40

6 Jani Munda(Wife) L.Ratha Munda 45

7 Lemba Munda L.Bacha Munda 402B. List of PAPs According to R&R Policy-2006 of Nalda Village

a. List of Above 18 years unmarried Sons

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b. List of Above 18 years married Sons

Sl.No.

Name of theFamily

MembersFather’s Name Age Marital

Status

1GangaramMunda

L.Kusunu Munda48 Married

2 Laxman Gangaram Munda 28 Married3 Rajan Munda L. Singarai Munda 35 Married

4BholanathSahay

L. Gopal Lal58 Married

5 Rajesh Lal L. Gopal Lal 45 Married

6Jiten KuChauda

L. Jadab Chauda59 Married

7RameshChauda

L. Jadab Chauda55 Married

8 Kundan Chauda L. Jadab Chauda 43 Married9 Badal Gouri L.pusa Gouri 50 Married10 Sunedar Gouri L.Pusa Gouri 48 Married11 Kalia Gouri Sunedar Gouri 25 Married12 Sahadev Gouri L.Pusa Gouri 35 Married13 Mangal Munda L. Palau Munda 29 Married

14DayaramChauda

L. R. Nanji65 Married

15 Dinesh Chauda Dayaram Chauda 40 Married16 Madan Munda L.Kusunu Munda 50 Married17 Sunia Munda L.Kusunu Munda 40 Married18 Rabin Munda L.Bajae Munda 25 Married

c. List of Orphans

SlNo

Name of theOrphan Father’s Name Age Sex Marital

Status

1 Mangal Munda L. Sambhu Munda 10 Male Unmarried

2 Guma Munda L.Sambhu Munda 08 Male Unmarried

d. List of Widows

SlNo

Name of theWidow Husband’s Name Age

1 Sanibari Munda L.Singarai Munda 652 Jabidi Munda L.Tota Munda 353 Tulasi Munda L.Gura Munda 284 Mangae Munda L.Bajae Munda 50

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Table-3ADemographic Profile

Nam

eof

the

villa

ges

Tota

lNum

bero

fH

Hs

Mal

eH

eade

dH

Hs

Fem

ale

Hea

ded

HH

s

Cas

te

Whe

rear

eyo

uFr

om

Hav

eyo

ube

enD

ispl

aced

SC ST OBC Samedistrict

Otherdistrict

ofOrissa

OutsideOrissa Yes No

Tonto- HHs%

30100

2376.67

0723.33 0 30

100 0 30 0 0 0 30

Nalda-HHs%

21100

17(80.95) 04

(19.05) 017

(80.95) 04(19.05)

13(61.90) 00 08

(38.09) 0 21

Table-3BDemographic Profile

Name of theVillages

Type of Family Ration Card BPL Voter Card

Joint Nuclear Yes No Yes No Yes No

Tonto 04(13.33)

26(86.67)

21(70.00)

09(30.00)

19(63.33)

11(36.67)

2480.00

0620.00

55

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Table-4Family Category as per R&R Policy-2006

Name of theVillages

Total members Above 18 years sonsUnmarrieddaughters/

sistersabove 30

years

PH/MR Orphan Widow/destitute

M F Married Un-married Total

Tonto-HHs%

6347.01

7152.99 26

19.408

5.9734

25.37 0 0 21.49

75.22

Nalda- HHs%

4955.68

3944.32

1820.45

1719.32

3539.77 0 0 2

2.274

4.54

Table No-5Distribution of Population of Affected Villages

Name ofthe

Villages

Age Groups0-5 6-15 16-25 26-45 46-60 >60

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Mal

e

Fem

ale

Tonto 8.2 12.69 11.94 9.7 11.94 14.18 13.43 14.18 1.49 2.24 0 0

Nalda 4.55 2.27 10.23 10.23 13.64 10.23 18.18 13.64 7.95 6.82 1.14 1.14

56

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Table No.6

Status of Literacy of the PAPs

Name ofthe

Villages

Total LiterateMembers Primary Upper

primaryMatriculati

on +2 +3 MasterDegree Technical Professional

M F T M F M F M F M F M F

Tonto28 15 43 24 12 2 3 2

0 0 0 0 0 0 0 020.9 11.2 32.09 17.9 8.96 1.49 2.24 1.49

Nalda30 15 45 9 5 1 1 8 3 3 1 5 4 0 2 3

34.09 17.1 51.14 10.2 5.6

8 1.14 1.14 9.09 3.41 3.41 1.14 5.68 4.55 2.27 3.41

Table-7Occupational Pattern of the PAPs

Name of theVillage Members

Main OccupationA

gric

ultu

re Non-farm Labour

Bus

ines

s

Sala

ry

Pvt

wor

k

othe

rs

Const Mines /Industrial

Dailywage

Tonto41 0 5 15 5 5 4 6 1

30.6 12.2 36.58 12.19 12.2 9.76 14.63 2.44

Nalda39 3 3 13 0 8 3 9 044.32 7.69 7.69 33.33 0 20.51 7.69 23.08

57

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Table-8Distribution of Affected HH according to Income

Income Groups

Tonto Nalda

No. ofHHs

% ageto TotalNo. ofHHs

No. ofHHs

% ageto TotalNo. ofHHs

<10,000 6 14.63 4 10.26

10,001- 20,000 11 26.83 5 12.82

20,001- 30,000 13 31.71 14 35.9

30,001- 40,000 6 14.64 1 2.56

40,001- 50,000 5 12.19 3 7.69

50,001-60,000 0 0 3 7.6960,001-70,000 0 0 070,001-80,000 0 0 0

80,001-90,000 0 0 1 2.56

90,001-1,00,000 0 0 1 2.56

1,00,001 – 2,00,000 0 0 4 10.26

2,00,001 – 300000 0 0 1 2.56

3,00,001 –4,00,000 0 2 5.14

58

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Table-9Housing and Amenities

Name ofthe

Villages

TotalNumberof HHs

Housing Number of Dwelling Room Wall

Own Rented Others One Two Three Four FiveMorethenFive

MudBrickwithMud

Bambooor wood

withmud

plaster

Brickwith

cementMix Any

other

Tonto 29 29 0 0 7 17 3 2 0 0 26 3 0 0 0 0Nalda 21 20 1 0 9 4 3 2 0 3 11 6 0 4 0 0

Housing and Amenities (Contd)

Name oftheVillages

Roof Floor Use ofBuilding

Do youhave

Electricity

That

ched

(Chh

ana)

Asb

esto

s

Tile

s

Con

cret

ero

of

Tin

Kha

ppar

Eart

hen

Cem

ent

Ow

nliv

ing

Ren

ted

Yes

No

Tonto 0 0 25 0 2 2 26 3 29 0 0 29

Nalda 0 0 11 0 0 10 14 7 20 1 12 9

59

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Table- 10Land Particulars

Name ofthe

Villages

Do you haveown land,other thanhomestead

land?

TotalIrrigated

Land

TotalUnirrigated

Land

TotalForestland

Total land acquiredby the project

Yes No Irrigated Non-irrigated

Tonto 30 0 0 46.86 0 0 23.4

% 100 50.01

Nalda 21 0 0 83.81 0 0 83.4% 100 99.05

Table- 11Distribution Total land among the PAFs

Name ofthe

VillagesTotal

households

0.01-2.50 2.51-5.00

(SmallFarmer)

5.01-10.00

(MediumFarmer)

>10.00(Big

Farmer)

(Marginal Farmer)0.5 0.51-

1.001.01-1.50

1.51-2.00

2.01-2.50

Tonto 30 5 7 10 3 4 1 0 0% 100 16.68 23.33 33.33 10 13.33 3.33 0 0

Nalda 21 0 3 4 3 2 4 5 0% 100 0 14.28 19.05 14.29 9.52 19.05 23.81 0

60

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Table No-12Labour use pattern of the PAPs

Name ofthe

Villages

TotalNumber

ofWorker

MaleWorkers

FemaleWorkers

Non-agricultural Labour (No of days)

With in Village Outside Village

<50 51-100

101-200 >200 <100 101-

200201-300 >300

Tonto 21 14 7 0 0 0 0 0 10 11 0Nalda 16 9 7 0 0 0 0 0 11 5 0

Source: Field Survey

Table No-13Possession of Livestock

Name ofthe

Villages

TotalNumberof HHs

HHPossessLivestock

Bullock Cows Calves Goats Chicken/Hen Pig

Yes No Nos HHs Nos HHs Nos HHs Nos HHs Nos HHs Nos HHsTonto 30 12 18 12 04 04 02 3 2 21 04 36 06 0 0Nalda 21 9 12 7 03 02 02 0 0 25 04 22 06 0 0

Source: Field Survey

Table No-14Assets Possession

Name ofthe

Villages

TotalNumberof

HHs

AssetsPossess

Bicycle

Scooter/Motor-

bikeMarsal

Lightand

sound

system

Television/VCD/

VCR

Sewing

Machine

Phone AnyotherYes No

Tonto 30 22 17 09 0 0 0 0 8 0

Nalda 21 18 12 03 03 0 07 0 10 0Source: Field Survey

61

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Table-15

Land Acquisition Status of Village Tonto

KhataNo Name of RoR

Land n acres

Percentageof land lost

(%)TotalLand

holding

Totalland

proposedto be

acquired

Balanceland

21 Desa Munda S/o- Nabha Munda, Kolha 2.6 2 0.6 76.92

39

Mahana Munda S/o- Randa MundaSuru Munda W/o- Randa ChamuruMunda S/o- Labha, Desha Munda S/o-Labha, Kolha

7.23 5.05 2.18 69.85

42 Raya Munda S/o- Budhu Munda, Kolha 2.8 2.8 0 100

8 Gahma Munda S/o- Turam Munda, Kolha 2.66 0.96 1.7 36.09

10 Gangi Munda W/o- Gardi Munda, Kolha 3.68 2.74 0.94 74.46

13 Ghana Munda S/o- Rile Munda, Kolha 3.51 2.28 1.23 64.96

20 Dunda Munda S/o- Galai Munda, Kolha 1.98 1.1 0.88 55.56

31 Budhu Munda S/o- Tiriga Munda, Kolha 3.76 0.74 3.02 19.68

44 Ratha Munda S/o- Gura Munda, Kolha 2.06 0.75 1.31 36.41

53Rugudi Munda S/o-Jhagudu Munda, Kolha,Enchroached byGahma Munda S/o- Turam Munda, Kolha

1.85 1.85 0 100

30Budui Munda D/o- Durugu Munda, ChamanuMunda S/o- Durugu, Sudi Munda D/o-Durugu, Gurubari Munda D/o- Durugu, Kolha

2.43 1.77 0.66 72.84

61

Saluka Munda S/o- Randa Munda, KuniMunda D/o- Gaunsa Munda, Duruda, SuneiMunda D/o- Gaunsa Munda, Bungaburu,Kolha

6.46 0.2 6.26 3.1

63 BadaSunian Munda S/o- Bacha Munda,Kolhha 5.84 1.2 4.64 20.55

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65

Table-16Land Acquisition Status of Nalda

KhataNo Name of the ROR

Land n acres

TotalLandholding

Total landproposed tobe acquired

Balanceland

Percentageof land lost

(%)

20Kusunu Munda, Singarai MudaS/o- Ganga, Kandu Munda,Patra Munda s/o- Gede

16.093 9.573 6.52 59.51

43 Chameli Lal W/o- Gopal 8.00 8.00 0 100

49 Jadabji Bhanu Chauda S/o- BhanuNaji 20.743 13.529 7.214 65.22

79Badal Gauri, Sunedar Gouri,Sahadev Gauri S/o- Pusa andRaimani Gouri W/o- Pusa

3.053 3.053 0 100

94 Mangal Munda S/o- Palau, LaxmiMunda W/o- Sama 6.819 1.59 5.229 23.32

98Morar Ranchod Chauda andDayaram Chauda S/o- RanchodNanji

47.716 46.213 1.503 96.85

112Rida Munda, Pandu Munda S/o-Udia, Kusunu Munda Bajae MundaS/o- Kanda

6.242 1.415 4.827 22.67

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66

Table-17.A.Entitlement Matrix of Tonto Village

HH

No. Name of the

ROR/ HoHName of the

Family MembersRelation

withHoH Se

x

Age

Cas

te/

Trib

e MaritalStatus

Landless

Occupation

Dis

abili

ty

Orp

han

EntitlementAgl HSL

1

L. Ragudi

Munda S/o-

Jhagudu

Maka Munda S/o-

L.ChamuruSelf M 17 ST UM No NA Unemployed No

Yes----------------

Chulu Munda Self M 40 ST Married No NA Pvt work No No Employment

Somabari Wife F 35 ST Married No NA HW No No

Sama Munda Self M 35 ST Married No NA Unemployed No No Employment

Sukrumani Wife F 28 ST Married No NA WL No No

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67

Table-17.B.Entitlement Matrix of Nalda Village

HH

No.

Name of the ROR/ HoHName of the

FamilyMembers

Relation

withHoH

Sex

Age

Cas

te/

Trib

e MaritalStatus

Landless

Occupation

Dis

abili

ty

Orp

han

EntitlementAgl HSL

1

L.Chameli Lal W/o- L.GopalBholanath Sahay S/o-Gopal LalRajesh Lal S/o- Gopal Lal

Bholanath Sahay Self M 58 ST Married No Yes Business No NoPrava Wife F 57 ST Married No Yes HW No NoNitesh Kumar Son M 25 ST UM No Yes Service No NoRitesh Kumar Son M 23 ST UM No Yes Unemployed No No EmploymentChandan Son M 21 ST UM No Yes Business No No

Rajesh Lal Self M 45 ST Married No Yes Business No NoCashassistance

Sheela Wife F 35 ST Married No Yes HW No No

4 Badal Gouri S/o- L.pusa Badal Gouri Self M 50 ST Married No No Service No NoSunika Wife F 48 ST Married No No No NoRabi Son M 25 ST UM No No Pvt job No No EmploymentBiki Son M 23 ST UM No No No NoRajani Dau F 20 ST UM No No No NoPinki Dau F 18 ST UM No No No No

Sunedar Gouri S/o-L.Pusa Sunedar Gouri Self M 48 ST Married No No WL No NoSusama Wife F 46 ST Married No No No No

Kalia Son M 25 ST Married No No WL No No Employment

SabitriD-in-law F 20 ST Married No No No No

Putulu Son M 18 ST UM No No No NoSahadev Gouri S/o- L.Pusa Sahadev Gouri Self M 35 ST Married No No WL No No Employment

Anami Gouri Wife F 30 ST Married No No No No

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68

Table No-18Status of women SHG, Youth Clubs & other associations

Sl.No. Name ofthevillage

WSHG Youth Club Cultural Associations Any otherinstitutionif any

Nos. Totalmembers

Nos.(un-registered)

Totalmembers

Nos. Totalmembers

01 Tanto 02 20 01 25 - - -02 Nalda 01 25 02 30 - - -

Total : 03 45 03 55 - - -

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DEMOGRAFIC PROFILE OF PAFs OF TONTO

Name ofthe ROR/HoH

Name of theFamilyMembers

Rel

atio

nshi

pw

ith H

oH

Sex

Age

MaritalStatus

Education Occupation

Leve

lC

ompl

eted

Con

t.

Trg/

Skill

poss

esse

d

Main Subsidiary Remarks

L.GahmaMunda S/o-L.Turam

BagunMunda S/o-L.Gahma

Khata No.8

Bagun Munda 1 1 45 2 Illiterate 0 0 Mines worker 0

Sukrumani2 2 40 2 Illiterate 0 0 Business HW Handia

busuness

Dasama 4 2 20 1 Illiterate 0 0 WL

Jingi 4 2 18 1 Illiterate 0 0 WL

Sunita 4 2 16 1 6th 0 0

Somabari 4 2 14 1 0 6th 0

Gahma 3 1 8 1 0 2nd 0

Sabita 4 2 6 1 0 0 0

Masuri 4 2 5 1 0 0 0

Gori 4 2 4 1 0 0 0

Gupta 3 1 2 1 0 0 0

L.GangiMunda

Tapar MundaS/o- L.GardiMunda

Tapar Munda 1 1 45 2 Illiterate 0 0 Mines worker Stone breaking

Parbati 2 2 38 2 Illiterate 0 0

Rahul 3 1 19 1 8th 0 0 Pvt work Crossor worker

Gurubari 4 2 17 1 Illiterate 0 0

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Khata No.10Gardi 3 1 15 1 0 8th

ol) 0

Raj 3 1 13 1 7th 0

Manguli 4 2 10 1 4th 0

Raimuni

4 2 6 1 0 0 0

ManchuriaMunda s/o-L.Gardi

ManchuriaMunda 1 1 40 2 Illiterate 0 0 Mines worker Stone breaking

Laxmi munda 2 2 35 2 Illiterate 0 0

Suka MundaS/o- L.Gardi

Suka Munda 1 1 35 2 5th 0 0 Pvt work Hajiri

GurubariMunda 2 2 30 2 Illiterate 0 0

Rencha Munda 3 1 1 1 0 0 0

L.BuddhuMunda

S/o-Tiriga

Khata No.31& 42

Pandu Munda 3 1 18 1 5th 0 0 Pvt Work Daily Wages

Raya Munda

3 1 25 1 4th 0 0 Labour

Daily Wages

L.MahanaMunda

Dimbe MundaW/o-L.Mohna 2 2 50 3 0 0 0 0 0

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S/o-Randa

Khata No.39

Jadu Munda 3 1 30 2 4th 0 0 Labour Daily Wages

Laba Munda 3 1 24 2 4th 0 0 Labour Daily Wages

Mina Munda 4 2 25 2 0 0 0 HW

Kurmi Munda 4 2 2 2 0 0 0 HW

L.ChamuruMunda

S/o-Laba

Khata No.30

BudhiramMunda S/o-L.Mohanty

3 1 30 2 5th 0 0 LabourDaily Wages

GharabariMunda W/o-L.Mohanty

2 2 50 3 0 0 0 HW0

Mandei MundaW/o-L.Jugal 2 2 50 3 0 0 0 HW 0

Sukhram Sidhu 7 1 25 2 4th 0 0 Labour Daily Wages

Milan MundaS/o-L.Jugal 3 1 23 2 7th 0 0 Labour Daily Wages

Jena MundaS/o-L.Jugal

3 1 30 2 5th 0 0 Helper

Daily Wages

L.RathaMunda

S/o-Guru

Khata No.44 Jani MundaW/o-LRathaMunda

2 2 45 3 0 0 0 Business

Handia

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L.RuguduMunda

S/o-Jhagudu

Khata No.53

Maka Munda

S/o-ChamuruMunda

1 1 18 1 8th 0 0 Mines Labour

Chulu Munda 7 1 40 2 3rd 0 0 Helper Truck

Lala Munda 7 1 23 2 4th 0 0 Helper Truck

Tina Munda 7 2 35 2 0 0 0 HW

Suna Munda 7 2 20 2 3rd 0 0 HW

L.SalukaMunda

S/o-Randa

Khata No.61 Pala Munda

D/o=Saluka

4 2 25 1 5th 0 0 Daily Labour

Mines

L.BarmuniaMunda

S/o-Bachha

Khata No.63

Lemba Munda

W/o-L.BachhaC 2 55 3 0 0 0 HW

Sabar Munda 3 1 22 2 7th 0 0

SukhalalMunda

S/o-SamaMunda

7 1 24 2 5th 0 0 Mines Worker

Sunia Munda 7 1 18 1 6th 0 0 Helper

Dillip Munda 7 1 22 1 10th 0 0 Service Pvt.

L.DesaMunda S/o-

Indra Munda 1 1 50 2 Illiterate 0 0 Old

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L.Laba

Khata No.21

Gurucharan 3 1 25 2 2nd 0 0 Helper Crossor Helper

Raimuni 7 2 20 2 Illiterate 0 0 HW Collection offorest produces

Bira 7 1 5 1 0 0 0

Sukuram 7 1 3 1 0 0 0

Krupa Munda 1 1 40 2 C 0 0 WL

Jani 2 2 35 2 Illiterate 0 0 HW Collection offorest produces

Muna 3 1 18 1 0 5th 0 Contract job Mistri in Hotel

Raisingh 3 1 8 1 0 3rd 0

L.GhanaMundaS/oL.RileMunda

Khata No.13

Purna 3 1 50 2 Illiterate 0 0 Labour

Rale 3 1 35 2 2nd 0 0 Helper

Bami 3 2 30 2 Illiterate 0 0 Labour

Lalsingh 3 1 28 2 0 0 0 Labour

Pal 3 1 22 2 Illiterate 0 0 Labour

dabadi 4 1 18 1 2nd 0 0 HW

L.DundaMundaS/oL.Galei

Khata No.20

Rama munda 3 1 36 2 Illiterate 0 0 Labour

Suru

4 2 24 2 0 0 0 HW

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DEMOGRAFIC PROFILE OF PAFs OF NALDA

Name of theROR/ HoH

Name of theFamilyMembers

Rel

atio

nshi

pw

ith H

oH

Sex

Age

MaritalStatus

Education Occupation

Leve

lC

ompl

eted

Con

t.

Trg/

Skill

poss

esse

d

Main Subsidiary Remarks

L.Chameli LalW/o- L.Gopal

BholanathSahay S/o-Gopal Lal

Khata No.43

BholanathSahay 1 1 58 2 BA.LLB 0 0 Bussiness Plantation

Transport&given houserent

Prava 2 2 57 2 8th 0 0 HW 0

Nitesh Kumar 3 1 25 1 MCA 0 0 ServiceNokiaCompany

Ritesh Kumar 3 1 23 1 BA 0 0 Unemployed

Chandan 3 1 21 1 BA 0 0 Business

Garment shopat BadaJamuda

Rajesh LalS/o- Gopal

Lal Rajesh Lal 1 1 45 2 BA 0 0 Business Plantation

Transport&given houserent

Sheela 2 2 35 2 10th 0 0 HW

Richa 4 2 9 1Notgoing 0 0 PH

Kashish 4 2 3 1Notgoing 0 0 Child

L. Jadabji

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BhanuChauda S/o-Bhanu Naji

Khata No.49

Jiten KuChauda S/o-L. Jadab

Khata No.98Jiten KuChauda 1 1 59 2 BA 0 0 Business Plantation

Saw mill &Dumper

Jyotibala 2 2 55 2 BA 0 0 HW

Sital 4 2 25 1B.Tec(IT) 0 0 Service 0

Engg. InWIPRO

Ajaya 3 1 15 1 0Matric 0 0 0

RameshChauda S/o-L.Jadab

Khata No.98RameshChauda 1 1 55 2 2+ 0 0 Business 0

Leena 2 2 48 2 3+ 0 0 0

Deepak 3 1 22 1 0Computorhard

0 0

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ware

KundanChauda S/o-L.Jadab

Khata No.98

KundanChauda 1 1 43 2 2+ 0 0 Business 0

Kumkum 2 2 40 2 2+ 0 0 00

Dibya 4 2 10 1 0 5th 0 0

Sonal 3 1 8 1 0 3rd 0 0

Badal GouriS/o- L.pusa

Khata No.79

Badal Gouri 1 1 50 2 9th 0 0 Service 0

Sunika 2 2 48 2 Illiterate 0 0 0

Rabi 3 1 25 1 Isc 0 0 Pvt job 0

Biki 3 1 23 1 Matric 0 ITI 0

Rajani 4 2 20 1 0 BA 0 0

Pinki 4 2 18 1 0 BA 0 0

SunedarGouri S/o-L.Pusa

Sunedar Gouri 1 1 48 2 Illiterate 0 0 WL 0

Susama 2 2 46 2 Illiterate 0 0 0

Kalia 3 1 25 2 Illiterate 0 0 WL 0

Munni 7 2 20 2 Illiterate 0 0 0

Budhuram 7 1 2 1 0 0 0

Putulu 3 1 18 1 Illiterate 0 0 0

Twinkle 4 2 11 1 1st 0 0 0

Kundu 3 1 7 1 0 1st 0 0

Tulti 4 2 6 1 0 0 0 0

Laxman 3 1 5 1 0 0 0 0

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SahadevGouri S/o-L.Pusa

Sahadev Gouri 1 1 35 2 Illiterate 0 0 WL 0

Anami 2 2 30 2 Illiterate 0

Raimuni 4 2 12 1 5th 0 0 0

Vishal 3 1 10 1 0 4th 0 0

Muna 3 1 8 1 0 3rd 0 0

Priya 4 2 6 1 0 1st 0 0

MangalMundaS/oPalau

Khata No.94

Mangal 1 1 55 2 Illiterate 0 0 Labour 0

Kusun 2 1 45 2 Illiterate 0 0 Labour 0

Tapai 2 1 43 2 Illiterate 0 0 Labour 0

Kande 2 1 40 2 Illiterate 0 0 Labour 0

Jema 3 2 36 2 Illiterate 0 0 Labour 0

Jambia 3 2 32 2 Illiterate 0 0 Labour 0

Lutu 3 2 28 2 Illiterate 0 0 Labour 0

Sunita 3 2 25 2 Illiterate 0 0 Labour 0

Rami 3 2 23 2 Illiterate 0 0 Labour 0

Barang 3 2 21 2 Illiterate 0 0 Labour 0

L.Ridamunda s/oUdia

Khata No.112

Jana 2 3 36 2 Illiterate 0 Labour 0

Gura 3 1 15 1 Illiterate 0 0

Tulasi 4 1 10 2 Illiterate 0 0

l.KusunuGangaram 3 1 45 2 Illiterate 2nd 0 0

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MundaS/oRatan

Khata No:20

Rande 3 1 39 2 5th

Mugi 4 2 22 2 Illiterate 00 0 0

Sunil 7 1 12 1 6th 6th 0 0 0

Kusunu 7 1 20 1 4th 0 0 Labour

Mangal 7 1 16 1 3rd 0 0 Labour

Gamha 7 1 13 1 6th 0 0 0

Rajan 3 2 46 1 0 0 0 Labour

Narsingh 3 2 44 1 0 0 0 Labour

Pani 4 1 17 2 0 0 0 Labour

Joker 7 1 22 2 6th 0 0 Labour

Nitima 7 2 25 3 0 0 0 Labour

Babu 7 1 01 1 0 0 0 0

(Codes to be used for filling up the demographic details of the family)

Relationship with affected Person Sex Marital Status

1.Self

2.Wife

3.Son

4.Daughter

5.Father

6.Mother

7.Others

1.Male

2.female

1.Unmarried

2.Married

3.Divorce/Widow

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Social Map of Tonto

68

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Resource Map of Tonto

69

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70

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Chapati Diagram of Tonto

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Chapati Diagram of Nalda

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73

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74

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75

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76

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77

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78

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79

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80

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81

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82

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83

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84

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85

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86

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87

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88

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89

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90

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91

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92

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93

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94

Photo Ses s io n

Office Building of BRPL Under construction

Plant Side

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95

Village Tonto

Colony Sahi of Tonto village

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96

SES Team in Village Tonto

SES Team in Village Tonto

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97

School Under construction in Tonto

Village Women collecting Water from Mobile Water Tank