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    Home / Central Data Catalog / DDI-IND-MOSPI-NSSO-75RND-SCH25.2-JULY2017-JUNE2018 / variable [V376]
central

Household Social Consumption: Education, NSS 75th Round Schedule-25.2 :July 2017-June 2018

India, 2017 - 2018
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Reference ID
DDI-IND-MOSPI-NSSO-75Rnd-Sch25.2-July2017-June2018
Producer(s)
National Sample Survey Office,NSSO
Collections
Other Surveys
Metadata
DDI/XML JSON
Created on
Apr 13, 2022
Last modified
Apr 13, 2022
Page views
438350
Downloads
328102
  • Study Description
  • Data Dictionary
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  • Data files
  • R75252L01
    -(Blocks 1, 2
    and 11)-
    Identification
    of sample
    household
  • R75252L02
    (Block
    3)-household
    characteristics
  • R75252L03
    (Block-3.1)-Details
    of erstwhile
    household
    members of age
    3 to 35 years
    currently
    attending
    education
  • R75252L04
    (Block-4)-Demographic
    and other
    particulars of
    household
    members
  • R75252L05
    (Block-5)-Dducation
    particulars on
    basic course of
    the persons of
    age 3 to 35
    years who are
    currently
    attending
    education
  • R75252L06
    (Block
    6)-Particulars
    of expenditure
    (Rs.) for
    persons of age
    3 to 35 years
    who are
    currently
    attending at
    pre-primary and
    above level
  • R75252L07
    (Block
    7)-Particulars
    of currently
    not attending
    persons of age
    3 to 35 years
  • R75252L08
    (Block
    8)-particulars
    of formal
    vocational or
    technical
    training
    received by
    household
    members of age
    12 to 59 years

expenditure incurred on preparation for higher/ additional studies during last 365 days (Rs.) (Exp_preparation_amt)

Data file: R75252L07 (Block 7)-Particulars of currently not attending persons of age 3 to 35 years

Overview

Valid: 2990
Invalid: 0
Type: Discrete
Start: 73
End: 78
Width: 6
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0 561
18.8%
1000 106
3.5%
10000 114
3.8%
100000 6
0.2%
10200 1
0%
10500 9
0.3%
105000 1
0%
10550 1
0%
10600 2
0.1%
10700 1
0%
10740 1
0%
1080 1
0%
10920 1
0%
1100 4
0.1%
11000 13
0.4%
11200 1
0%
11400 1
0%
1150 1
0%
11500 5
0.2%
1170 1
0%
11750 1
0%
1200 41
1.4%
12000 71
2.4%
120000 3
0.1%
1202 1
0%
1230 2
0.1%
12350 1
0%
1240 2
0.1%
12400 2
0.1%
1250 10
0.3%
12500 18
0.6%
125000 2
0.1%
1260 1
0%
12600 2
0.1%
12610 1
0%
12630 1
0%
12700 2
0.1%
12800 4
0.1%
1290 1
0%
12900 1
0%
1300 4
0.1%
13000 11
0.4%
130000 1
0%
13250 1
0%
1350 4
0.1%
13500 5
0.2%
136000 1
0%
1380 1
0%
13800 1
0%
1400 2
0.1%
14000 7
0.2%
14200 1
0%
14400 2
0.1%
1450 2
0.1%
14500 3
0.1%
14800 1
0%
14870 1
0%
1500 97
3.2%
15000 94
3.1%
150000 3
0.1%
1550 2
0.1%
15500 2
0.1%
1560 1
0%
15600 1
0%
15635 1
0%
1565 1
0%
15700 1
0%
1600 8
0.3%
16000 10
0.3%
1625 1
0%
1640 1
0%
1650 2
0.1%
16500 10
0.3%
1670 1
0%
16700 1
0%
16800 2
0.1%
1700 5
0.2%
17000 2
0.1%
17300 1
0%
1750 3
0.1%
17500 1
0%
1780 1
0%
1800 16
0.5%
18000 27
0.9%
1820 1
0%
18450 1
0%
1850 2
0.1%
18500 1
0%
1855 1
0%
1860 2
0.1%
18700 1
0%
18900 2
0.1%
1900 2
0.1%
19900 1
0%
200 9
0.3%
2000 126
4.2%
20000 53
1.8%
200000 1
0%
2100 4
0.1%
2150 1
0%
21500 1
0%
21800 1
0%
2200 12
0.4%
22000 7
0.2%
2250 4
0.1%
22500 1
0%
2290 1
0%
230 2
0.1%
2300 4
0.1%
23000 1
0%
2350 1
0%
2365 1
0%
2370 1
0%
2400 6
0.2%
24000 10
0.3%
2450 1
0%
250 3
0.1%
2500 84
2.8%
25000 32
1.1%
250000 2
0.1%
25300 1
0%
2570 1
0%
260 1
0%
2600 2
0.1%
26000 5
0.2%
26400 1
0%
2650 1
0%
26500 1
0%
2700 4
0.1%
27000 3
0.1%
2740 1
0%
2750 1
0%
2780 1
0%
2800 7
0.2%
28000 4
0.1%
28360 1
0%
2850 2
0.1%
2900 2
0.1%
29000 1
0%
300 3
0.1%
3000 110
3.7%
30000 36
1.2%
300000 1
0%
30500 2
0.1%
3100 1
0%
31000 2
0.1%
3150 1
0%
31500 1
0%
3200 4
0.1%
32000 4
0.1%
3250 5
0.2%
32500 1
0%
3280 1
0%
3300 1
0%
33000 1
0%
3400 1
0%
34000 1
0%
34500 1
0%
350 5
0.2%
3500 51
1.7%
35000 9
0.3%
3540 1
0%
35480 1
0%
3550 1
0%
3580 1
0%
360 2
0.1%
3600 5
0.2%
36000 4
0.1%
3630 1
0%
3650 1
0%
36500 2
0.1%
3670 1
0%
3700 2
0.1%
37000 1
0%
37600 1
0%
3800 2
0.1%
38000 1
0%
3840 1
0%
400 4
0.1%
4000 94
3.1%
40000 20
0.7%
4100 1
0%
4200 3
0.1%
4240 1
0%
42700 1
0%
4300 1
0%
43500 1
0%
450 3
0.1%
4500 49
1.6%
45000 7
0.2%
4560 1
0%
4600 1
0%
4650 1
0%
470 1
0%
4700 2
0.1%
47300 1
0%
480 1
0%
4800 11
0.4%
48000 4
0.1%
4850 1
0%
4880 1
0%
500 69
2.3%
5000 162
5.4%
50000 16
0.5%
5040 1
0%
5100 2
0.1%
5200 4
0.1%
52000 1
0%
5250 1
0%
5260 1
0%
5400 1
0%
5430 1
0%
550 5
0.2%
5500 17
0.6%
55000 2
0.1%
5525 1
0%
55740 1
0%
560 1
0%
5600 5
0.2%
5620 1
0%
5680 1
0%
5690 1
0%
5789 1
0%
5800 2
0.1%
5900 2
0.1%
600 21
0.7%
6000 79
2.6%
60000 9
0.3%
6200 3
0.1%
625 1
0%
6250 1
0%
630 1
0%
63250 1
0%
650 4
0.1%
6500 19
0.6%
65000 3
0.1%
6530 1
0%
6560 1
0%
6570 1
0%
6750 1
0%
67500 1
0%
680 1
0%
68000 1
0%
6850 1
0%
700 10
0.3%
7000 31
1%
70000 5
0.2%
70460 1
0%
7200 3
0.1%
72000 1
0%
7300 1
0%
750 10
0.3%
7500 21
0.7%
75000 6
0.2%
7700 1
0%
7800 3
0.1%
7980 1
0%
800 32
1.1%
8000 79
2.6%
80000 6
0.2%
8200 1
0%
8250 1
0%
8400 1
0%
84000 1
0%
845 2
0.1%
850 5
0.2%
8500 21
0.7%
85000 3
0.1%
8600 2
0.1%
870 1
0%
8700 1
0%
87000 1
0%
880 1
0%
900 4
0.1%
9000 14
0.5%
90000 6
0.2%
920 1
0%
9200 1
0%
9300 1
0%
950 2
0.1%
9500 6
0.2%
960 3
0.1%
9600 1
0%
970 1
0%
9700 2
0.1%
978 1
0%
9800 1
0%
9850 1
0%
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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