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    Home / Central Data Catalog / IMPACT_EVALUATION / IND_2009_WSPIE_V01_M_V01_A_PUF / variable [F5]
impact_evaluation

WSP Global Scaling Up Rural Sanitation Access (TSSM) Impact Evaluation, Madhya Pradesh State, Baseline and Endline Surveys 2009-2011

India, 2009 - 2011
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Reference ID
IND_2009_WSPIE_v01_M_v01_A_PUF
DOI
https://doi.org/10.48529/ksyg-6f12
Producer(s)
Water and Sanitation Program, Network for Engineering and Economics Research and Management
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 24, 2014
Last modified
May 11, 2015
Page views
166760
Downloads
19330
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • CGiver_BL_PUF
  • cgiver_EL_PUF
  • Child_BL_PUF
  • Child_EL_PUF
  • HHold_BL_PUF
  • HHold_EL_PUF
  • K_ANM_PUF
  • K_DOCTOR_PUF
  • K_GP_SEC_PUF
  • K_MASONS_PUF
  • K_SARPANCH_PUF
  • K_SCHOOL_PUF
  • K_TRANSECT_PUF
  • Person_BL_PUF
  • Person_EL_PUF
  • WATER_SOURCE_PUF
  • treatmentassignment

Dwelling estimated rent/Amount (G06_18N)

Data file: HHold_BL_PUF

Overview

Valid: 3760
Invalid: 153
Type: Discrete
Decimal: 0
Start: 2666
End: 2671
Width: 6
Range: -99 - 200000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-99 Don't know 1825
48.5%
2 1
0%
3 5
0.1%
5 2
0.1%
25 2
0.1%
40 2
0.1%
50 20
0.5%
60 1
0%
99 97
2.6%
100 111
3%
125 2
0.1%
150 25
0.7%
200 260
6.9%
250 25
0.7%
300 197
5.2%
350 1
0%
400 103
2.7%
500 345
9.2%
600 59
1.6%
700 30
0.8%
750 5
0.1%
800 40
1.1%
900 6
0.2%
1000 207
5.5%
1200 24
0.6%
1400 5
0.1%
1500 64
1.7%
1600 4
0.1%
1800 4
0.1%
2000 81
2.2%
2100 1
0%
2400 2
0.1%
2500 17
0.5%
2700 2
0.1%
3000 50
1.3%
3500 1
0%
4000 25
0.7%
4050 1
0%
4500 2
0.1%
5000 40
1.1%
5600 1
0%
6000 6
0.2%
7000 2
0.1%
8000 8
0.2%
9000 2
0.1%
10000 20
0.5%
12000 2
0.1%
15000 6
0.2%
16000 1
0%
20000 6
0.2%
24000 1
0%
25000 3
0.1%
25200 1
0%
30000 1
0%
35000 1
0%
40000 1
0%
50000 2
0.1%
70000 1
0%
200000 1
0%
Sysmiss 153
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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