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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-69RND-SCH-0DOT21-2012
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Urban Slums Survey, July 2012 - December 2012
NSS 69th Round

India, 2012
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Reference ID
DDI-IND-MOSPI-NSSO-69Rnd-Sch-0dot21-2012
Producer(s)
National Sample Survey Office
Collections
Other Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 18, 2018
Last modified
Mar 27, 2019
Page views
183159
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  • Study Description
  • Data Dictionary
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  • Data files
  • Block-2-some
    salient
    features of the
    slum(s) lying
    wholly or
    partly within
    the sample UFS
    block
  • Block-1-Identification
    of sample UFS
    block
  • Block-5-Particulars
    of field
    operations
  • Block-3 -
    Characteristics
    of slum(s)
    lying wholly or
    partly within
    the sample
  • Block-4-Change
    during the last
    5 years in the
    condition of
    the slum(s)
    lying wholly or
    partly within
    the sample UFS
    block.

Data file: Block-2-some salient features of the slum(s) lying wholly or partly within the sample UFS block

Some salient features of the slums were recorded in this block. The information was collected by interviewing one or more knowledgeable persons.

Cases: 881
Variables: 31

Variables

Centre_Round
Centre Round
FSU_Serial_No
FSU Serial No.
Round
Round
Sch_no
Schedule No.
Sample
Sample
Sector
Sector
State_region
State Region
District
District
Stratum
Stratum
Sub_Stratum_No
Sub Stratum No
Sub_Round
Sub Round
Sub_Sample
Sub Sample
FOD_Sub_region
FOD Sub Region
Level
Level
b2_q1
Srl no of slum in the UFS block
b2_q2
Is the slum notified one
b2_q3
Year of Notification
b2_q4
Total no. of UFS blocks intersecting the slum
b2_q5
Approximate no. of hhd in the slum(within UFS block)
b2_q6
Approximate no. of hhd in the whole slum
b2_q7
Approximate area of the slum (within UFS block)
b2_q8
Approximate area of the whole slum
SSC
SSC
NSS
NSC
NSC
NSS
MLT
MLT
State_code
State
District_Code
District
Slum_ID
Slum ID
FSU_Weight
Weight to attach for estimating FSU level parameters
Slum_Weight
Weight to attach for estimating number of slums
Total: 31
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