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
Impact Evaluation Surveys
Central
Water and Sanitation Program, Network for Engineering and Economics Research and Management
Created on May 11, 2015 Last modified May 11, 2015 Page views 70853 Download 18021 Documentation in PDF Metadata DDI/XML JSON
CSV JSON

Visit1: Duration (mins) (G00_V1TD)

Data file: HHold_BL_PUF

Overview

Valid: 3880
Invalid: 33
Type: Discrete
Decimal: 0
Width: 3
Range: 0 - 270
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 26
0.7%
1 2
0.1%
2 5
0.1%
3 1
0%
5 3
0.1%
6 2
0.1%
9 1
0%
10 2
0.1%
11 1
0%
12 1
0%
13 1
0%
15 6
0.2%
20 5
0.1%
21 1
0%
25 4
0.1%
30 17
0.4%
35 3
0.1%
40 16
0.4%
45 21
0.5%
49 1
0%
50 38
1%
55 20
0.5%
56 1
0%
57 1
0%
58 1
0%
59 1
0%
60 561
14.5%
61 1
0%
62 6
0.2%
63 5
0.1%
64 5
0.1%
65 133
3.4%
66 2
0.1%
67 1
0%
68 5
0.1%
69 6
0.2%
70 362
9.3%
71 3
0.1%
72 2
0.1%
73 5
0.1%
74 5
0.1%
75 232
6%
76 3
0.1%
77 5
0.1%
78 2
0.1%
79 3
0.1%
80 295
7.6%
81 6
0.2%
82 3
0.1%
83 5
0.1%
84 1
0%
85 94
2.4%
86 8
0.2%
87 2
0.1%
88 1
0%
89 5
0.1%
90 453
11.7%
91 9
0.2%
92 7
0.2%
93 4
0.1%
94 5
0.1%
95 94
2.4%
96 3
0.1%
98 2
0.1%
100 197
5.1%
101 1
0%
103 1
0%
104 3
0.1%
105 100
2.6%
106 1
0%
108 1
0%
109 2
0.1%
110 62
1.6%
112 1
0%
114 4
0.1%
115 24
0.6%
116 1
0%
118 3
0.1%
120 413
10.6%
121 16
0.4%
122 7
0.2%
123 12
0.3%
124 12
0.3%
125 72
1.9%
126 3
0.1%
127 1
0%
128 5
0.1%
129 4
0.1%
130 139
3.6%
131 3
0.1%
135 41
1.1%
136 2
0.1%
137 4
0.1%
138 1
0%
140 39
1%
141 1
0%
143 1
0%
145 9
0.2%
146 1
0%
150 79
2%
152 1
0%
154 2
0.1%
155 7
0.2%
157 2
0.1%
159 3
0.1%
160 11
0.3%
164 1
0%
165 6
0.2%
169 1
0%
170 3
0.1%
175 1
0%
180 19
0.5%
183 1
0%
185 2
0.1%
186 1
0%
190 3
0.1%
195 1
0%
200 10
0.3%
202 2
0.1%
210 5
0.1%
215 1
0%
220 1
0%
230 3
0.1%
245 1
0%
270 1
0%
Sysmiss 33
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.