India - Household Expenditure on Services Durable Goods : NSS Round 72, Schedule 1.5, July 2014 - June 2015
Reference ID | DDI-IND-MOSPI-NSSO-72Rnd-Sch1.5-July2014-June2015 |
Year | 2014 - 2015 |
Country | India |
Producer(s) | National Sample Survey Office |
Sponsor(s) | M/o Statistics & Programme Implementation, GOI - MOSPI - |
Collection(s) | |
Metadata |
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Created on
Nov 04, 2016
Last modified
Nov 21, 2016
Page views
324171
- Block1 & 2 - Ide
ntification of sampl
e household and part
iculars of field ope
ration - Block 3 - Household
characteristics - Block 4 - Demographi
c particulars of hou
sehold members - Block 5, 6, 7, 8, 9
- transport expendit
ure, misc. consumer
services, repairs an
d maintence of selec
ted items, AMC contr
acts, hotel lodging
charges, during last
7 days or last 30 d
ays or 365 days. - Block 10 - Expenditu
re on durable goods
acquired during the
last 365 days other
those used exclusive
ly for entrepreneuri
al activity.
Variable Groups
‘Time to canvass(mins.)’
(TimeToCanvass)
File: Block1 & 2 - Identification of sample household and particulars of field operation
File: Block1 & 2 - Identification of sample household and particulars of field operation
Overview
Type:
Discrete Format: character Width: 3 | Valid cases: 83512 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 13 | ![]() | |
00 | 2 | ![]() | |
020 | 1 | ![]() | |
040 | 1 | ![]() | |
045 | 2 | ![]() | |
060 | 4 | ![]() | |
065 | 1 | ![]() | |
070 | 2 | ![]() | |
080 | 3 | ![]() | |
095 | 1 | ![]() | |
10 | 45 | ![]() | |
100 | 2249 | ![]() | |
101 | 5 | ![]() | |
102 | 32 | ![]() | |
103 | 5 | ![]() | |
104 | 12 | ![]() | |
105 | 952 | ![]() | |
106 | 9 | ![]() | |
107 | 11 | ![]() | |
108 | 24 | ![]() | |
109 | 9 | ![]() | |
11 | 7 | ![]() | |
110 | 2506 | ![]() | |
111 | 4 | ![]() | |
112 | 79 | ![]() | |
113 | 34 | ![]() | |
114 | 47 | ![]() | |
115 | 953 | ![]() | |
116 | 31 | ![]() | |
117 | 32 | ![]() | |
118 | 49 | ![]() | |
119 | 19 | ![]() | |
12 | 13 | ![]() | |
120 | 3019 | ![]() | |
121 | 20 | ![]() | |
122 | 18 | ![]() | |
123 | 10 | ![]() | |
124 | 14 | ![]() | |
125 | 599 | ![]() | |
126 | 10 | ![]() | |
127 | 15 | ![]() | |
128 | 23 | ![]() | |
129 | 4 | ![]() | |
13 | 3 | ![]() | |
130 | 819 | ![]() | |
131 | 4 | ![]() | |
132 | 14 | ![]() | |
133 | 3 | ![]() | |
134 | 6 | ![]() | |
135 | 371 | ![]() | |
136 | 11 | ![]() | |
137 | 9 | ![]() | |
138 | 17 | ![]() | |
139 | 3 | ![]() | |
14 | 6 | ![]() | |
140 | 652 | ![]() | |
141 | 8 | ![]() | |
142 | 35 | ![]() | |
143 | 12 | ![]() | |
144 | 6 | ![]() | |
145 | 227 | ![]() | |
146 | 14 | ![]() | |
147 | 7 | ![]() | |
148 | 13 | ![]() | |
149 | 7 | ![]() | |
15 | 199 | ![]() | |
150 | 409 | ![]() | |
151 | 5 | ![]() | |
152 | 18 | ![]() | |
153 | 2 | ![]() | |
154 | 9 | ![]() | |
155 | 104 | ![]() | |
156 | 11 | ![]() | |
157 | 1 | ![]() | |
158 | 15 | ![]() | |
159 | 1 | ![]() | |
16 | 8 | ![]() | |
160 | 373 | ![]() | |
162 | 17 | ![]() | |
163 | 1 | ![]() | |
164 | 19 | ![]() | |
165 | 114 | ![]() | |
166 | 2 | ![]() | |
167 | 3 | ![]() | |
168 | 15 | ![]() | |
17 | 5 | ![]() | |
170 | 191 | ![]() | |
171 | 2 | ![]() | |
172 | 7 | ![]() | |
173 | 2 | ![]() | |
174 | 5 | ![]() | |
175 | 65 | ![]() | |
176 | 4 | ![]() | |
178 | 4 | ![]() | |
18 | 16 | ![]() | |
180 | 183 | ![]() | |
182 | 6 | ![]() | |
183 | 1 | ![]() | |
184 | 5 | ![]() | |
185 | 40 | ![]() | |
186 | 2 | ![]() | |
187 | 1 | ![]() | |
19 | 11 | ![]() | |
190 | 35 | ![]() | |
195 | 11 | ![]() | |
196 | 4 | ![]() | |
198 | 2 | ![]() | |
20 | 913 | ![]() | |
200 | 28 | ![]() | |
205 | 2 | ![]() | |
21 | 17 | ![]() | |
210 | 28 | ![]() | |
215 | 1 | ![]() | |
218 | 1 | ![]() | |
22 | 31 | ![]() | |
220 | 31 | ![]() | |
225 | 1 | ![]() | |
23 | 15 | ![]() | |
230 | 16 | ![]() | |
235 | 1 | ![]() | |
24 | 33 | ![]() | |
240 | 9 | ![]() | |
25 | 1295 | ![]() | |
250 | 9 | ![]() | |
251 | 1 | ![]() | |
26 | 16 | ![]() | |
260 | 1 | ![]() | |
27 | 34 | ![]() | |
270 | 1 | ![]() | |
28 | 84 | ![]() | |
280 | 3 | ![]() | |
29 | 32 | ![]() | |
290 | 1 | ![]() | |
30 | 3807 | ![]() | |
300 | 2 | ![]() | |
301 | 3 | ![]() | |
31 | 36 | ![]() | |
311 | 1 | ![]() | |
32 | 85 | ![]() | |
320 | 1 | ![]() | |
33 | 23 | ![]() | |
34 | 59 | ![]() | |
345 | 1 | ![]() | |
35 | 3198 | ![]() | |
355 | 1 | ![]() | |
36 | 52 | ![]() | |
360 | 1 | ![]() | |
37 | 48 | ![]() | |
38 | 209 | ![]() | |
39 | 51 | ![]() | |
40 | 6323 | ![]() | |
400 | 1 | ![]() | |
41 | 45 | ![]() | |
415 | 1 | ![]() | |
42 | 223 | ![]() | |
43 | 59 | ![]() | |
430 | 1 | ![]() | |
44 | 47 | ![]() | |
45 | 5539 | ![]() | |
451 | 1 | ![]() | |
46 | 101 | ![]() | |
465 | 1 | ![]() | |
47 | 65 | ![]() | |
470 | 1 | ![]() | |
48 | 306 | ![]() | |
49 | 54 | ![]() | |
50 | 7103 | ![]() | |
51 | 58 | ![]() | |
52 | 231 | ![]() | |
53 | 53 | ![]() | |
54 | 109 | ![]() | |
55 | 3377 | ![]() | |
550 | 1 | ![]() | |
56 | 148 | ![]() | |
560 | 1 | ![]() | |
57 | 82 | ![]() | |
58 | 182 | ![]() | |
583 | 1 | ![]() | |
59 | 36 | ![]() | |
60 | 8627 | ![]() | |
601 | 3 | ![]() | |
61 | 51 | ![]() | |
610 | 1 | ![]() | |
62 | 228 | ![]() | |
63 | 62 | ![]() | |
630 | 2 | ![]() | |
64 | 51 | ![]() | |
65 | 4109 | ![]() | |
651 | 2 | ![]() | |
66 | 43 | ![]() | |
67 | 53 | ![]() | |
68 | 184 | ![]() | |
69 | 35 | ![]() | |
7 | 1 | ![]() | |
70 | 5185 | ![]() | |
701 | 1 | ![]() | |
71 | 26 | ![]() | |
72 | 158 | ![]() | |
73 | 23 | ![]() | |
74 | 27 | ![]() | |
75 | 2942 | ![]() | |
76 | 68 | ![]() | |
77 | 7 | ![]() | |
78 | 103 | ![]() | |
79 | 27 | ![]() | |
80 | 3967 | ![]() | |
802 | 1 | ![]() | |
81 | 13 | ![]() | |
810 | 1 | ![]() | |
82 | 78 | ![]() | |
83 | 20 | ![]() | |
84 | 26 | ![]() | |
85 | 1736 | ![]() | |
86 | 44 | ![]() | |
87 | 39 | ![]() | |
88 | 39 | ![]() | |
89 | 36 | ![]() | |
890 | 1 | ![]() | |
895 | 1 | ![]() | |
90 | 4246 | ![]() | |
901 | 2 | ![]() | |
91 | 38 | ![]() | |
910 | 1 | ![]() | |
92 | 105 | ![]() | |
93 | 27 | ![]() | |
94 | 39 | ![]() | |
95 | 1500 | ![]() | |
958 | 1 | ![]() | |
96 | 39 | ![]() | |
960 | 1 | ![]() | |
97 | 28 | ![]() | |
98 | 61 | ![]() | |
99 | 7 | ![]() |
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.