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    Home / Central Data Catalog / IND_2016_SICHS_V01_M / variable [F11]
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South India Community Health Study 2016

India, 2016
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Reference ID
IND_2016_SICHS_v01_M
Metadata
DDI/XML JSON
Created on
Apr 29, 2025
Last modified
Apr 29, 2025
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8861
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  • Study Description
  • Data Dictionary
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  • Data files
  • mpr_sec_a_edit.dta
  • mpr_sec_a_pg1.dta
  • mpr_sec_e_comb.dta
  • mpr_sec_e_p2.dta
  • mpr_sec_s_comb.dta
  • spo_sec_b.dta
  • houseroster_p2_edit.dta
  • houseroster_p2fore3_edit.dta
  • houseroster_p2fore10_edit.dta
  • fpr_sec_c_p1.dta
  • fpr_sec_e_p2.dta
  • 2017_11_23_married_couples_pred_income_1871.dta
  • 2017_12_07_dowry_income.dta
  • completedata_rough_10oct2015.dta

E25. IF UNEMPLOYED OR RETIRED: (fpr_e25)

Data file: fpr_sec_e_p2.dta

Overview

Valid: 8
Invalid: 131
Minimum: 27
Maximum: 712
Type: Discrete
Decimal: 0
Start: 220
End: 222
Width: 3
Range: 27 - 712
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 Village administrative officer 0
0%
11 Village assistant 0
0%
12 Panchayat secretary 0
0%
13 Other village official 0
0%
20 Military 0
0%
21 Policeman 0
0%
22 Postman 0
0%
23 Senior official 0
0%
24 Scientific/technical staff 0
0%
25 Administrative/clerical staff 0
0%
26 Menial staff/peon 0
0%
27 Other government worker 1
12.5%
30 Nurse 0
0%
31 Doctor 0
0%
32 Engineer 0
0%
33 Computer professional 0
0%
34 Teacher/professor/lecturer 0
0%
35 Lawyer 0
0%
36 Accountant 0
0%
37 Priest 0
0%
38 Other professional or technician 0
0%
40 Shopkeeper/merchant, wholesale 0
0%
41 Shopkeeper or merchant, retail 0
0%
42 Contractor 0
0%
43 Chemist 0
0%
44 Hotel or restaurant keeper 0
0%
45 Money lender or pawn broker 0
0%
46 Factory owner 0
0%
47 Roadside hawker/vendor 0
0%
48 Real estate 0
0%
49 Other businessman 0
0%
50 Tailor 0
0%
51 Potter 0
0%
52 Blacksmith 0
0%
53 Carpenter 0
0%
54 Spinner, weaver, knitter, or dyer 2
25%
55 Goldsmith 0
0%
56 Barber 0
0%
57 Mason 0
0%
58 Cobbler 0
0%
59 Tanner 0
0%
60 Clerk/typist/book-keeper 0
0%
61 Administrator 0
0%
62 Peon 0
0%
63 Telephone operator 0
0%
64 Other clerical 0
0%
70 Manufact. worker or indust. laborer 2
25%
71 Beedi maker 0
0%
72 Assembler 0
0%
73 Printing worker 0
0%
74 Loader or unloader 0
0%
75 Transport equipment operator 0
0%
76 Bus conductor 0
0%
77 Bus driver 0
0%
78 Auto driver 0
0%
79 Taxi driver 0
0%
80 Landlord 0
0%
81 Farm manager or supervisor 0
0%
82 Cultivator 0
0%
83 Agricultural wage laborer 1
12.5%
84 Poultry or dairy worker 0
0%
85 Forestry worker 0
0%
86 Hunter 0
0%
87 Fisherman 0
0%
88 Other primary sector 0
0%
90 Salesman 0
0%
91 Shop assistant 0
0%
92 Maid 0
0%
93 Cook 0
0%
94 Driver 0
0%
95 Dhobi 0
0%
96 Restaurant or canteen worker 0
0%
97 Sweeper or cleaner 0
0%
98 Watchman or security services 0
0%
99 Other sales and services 0
0%
100 Wholesale or retail trade 0
0%
101 Financial institutions or banks 0
0%
102 Construction and manufacturing 0
0%
103 Transport and communication 0
0%
104 Other manager 0
0%
111 Child not of school-going age 0
0%
112 Student 0
0%
113 Housewife 1
12.5%
114 Unemployed 0
0%
115 Retired 0
0%
510 Plumber 0
0%
511 Painter 0
0%
512 Electrician 0
0%
513 Garland maker 0
0%
514 Mechanic 0
0%
515 Other craftsman 0
0%
710 Lorry driver 0
0%
711 Construction worker 0
0%
712 Day laborer 1
12.5%
713 Other production and transport 0
0%
Sysmiss 131
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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