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    Home / Central Data Catalog / LSMS / NGA_2018_LSS_V01_M / variable [F58]
lsms

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_M
DOI
https://doi.org/10.48529/8gbe-z155
Producer(s)
National Bureau of Statistics (NBS)
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 12, 2021
Last modified
Jan 12, 2021
Page views
290999
Downloads
22786
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • secta_cover
  • sect_aux
  • sect1_roster
  • sect2_education
  • sect3_health
  • sect4a1_labour
  • sect4a2_labour
  • sect5_remittances
  • sect6a_meals_outside
  • sect6b_food_cons
  • sect6c_aggregate_food_1
  • sect6c_aggregate_food_2
  • sect6c_aggregate_food_3
  • sect07_7day
  • sect07_12month
  • sect07_30day
  • sect8_food_security
  • sect9a_enterprise
  • sect9b_enterprise
  • sect9c_enterprise
  • sect9d_enterprise
  • sect10_assets
  • sect11a_credit
  • sect11b_credit
  • sect11c_credit
  • sect12a_beta
  • sect12a_safety
  • sect12b_safety
  • sect13_income
  • sect14_housing
  • sect16_shocks
  • sect17_crime_security
  • sect18_agriculture
  • sect19a_land
  • sect19b_land
  • totcons
  • sectc_cover
  • sectc1_resp
  • sectc2_infra
  • sectc3_org
  • sectc4a_land
  • sectc4a_prices
  • sectc4b_credit
  • sectc5_changes
  • sectc6_conflict
  • sectc8_foodprices
  • sect_result

What quantity of the consumed [ITEM] came from own-production? (s06bq04)

Data file: sect6b_food_cons

Overview

Valid: 524967
Invalid: 1930020
Type: Discrete
Decimal: 2
Start: 227
End: 233
Width: 7
Range: 0 - 5600
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0. NONE 434494
82.8%
0.12 1
0%
0.2 2
0%
0.25 143
0%
0.3 4
0%
0.4 7
0%
0.5 1323
0.3%
0.55 1
0%
0.6 1
0%
0.65 1
0%
0.7 2
0%
0.75 56
0%
0.8 1
0%
1 28525
5.4%
1.1 1
0%
1.2 27
0%
1.25 15
0%
1.3 7
0%
1.4 4
0%
1.5 1038
0.2%
1.6 5
0%
1.7 1
0%
1.75 2
0%
1.8 5
0%
2 19942
3.8%
2.1 4
0%
2.2 3
0%
2.25 1
0%
2.4 1
0%
2.5 295
0.1%
2.6 2
0%
2.8 3
0%
3 11274
2.1%
3.2 1
0%
3.45 1
0%
3.5 127
0%
3.75 1
0%
4 7265
1.4%
4.2 2
0%
4.5 51
0%
5 4632
0.9%
5.25 2
0%
5.4 1
0%
5.5 6
0%
6 3187
0.6%
6.5 3
0%
7 2025
0.4%
7.5 14
0%
8 1810
0.3%
8.4 1
0%
8.5 1
0%
9 440
0.1%
9.5 1
0%
10 2237
0.4%
10.5 34
0%
11 143
0%
11.6 1
0%
12 875
0.2%
12.5 3
0%
13 180
0%
14 508
0.1%
15 897
0.2%
16 199
0%
17 53
0%
17.5 6
0%
18 172
0%
18.5 1
0%
18.75 10
0%
19 15
0%
20 737
0.1%
21 123
0%
22 43
0%
23 20
0%
24 65
0%
25 215
0%
26 25
0%
27 11
0%
28 62
0%
30 245
0%
31 1
0%
32 11
0%
33 6
0%
34 2
0%
35 121
0%
36 18
0%
37 3
0%
37.5 24
0%
38 10
0%
40 98
0%
42 19
0%
45 25
0%
46 1
0%
48 7
0%
49 4
0%
50 117
0%
52 2
0%
54 1
0%
55 3
0%
56 4
0%
56.25 13
0%
60 61
0%
62 1
0%
64 1
0%
65 4
0%
66 1
0%
68 1
0%
70 15
0%
75 61
0%
79 1
0%
80 18
0%
84 3
0%
90 3
0%
93.75 7
0%
95 1
0%
97 1
0%
98 1
0%
100 14
0%
105 1
0%
110 1
0%
112.5 6
0%
120 13
0%
126 1
0%
130 1
0%
140 1
0%
150 33
0%
168 1
0%
175 1
0%
180 3
0%
200 29
0%
220 1
0%
225 2
0%
245 1
0%
250 22
0%
300 55
0%
340 12
0%
350 35
0%
360 1
0%
380 1
0%
400 65
0%
450 17
0%
500 152
0%
510 8
0%
525 1
0%
550 2
0%
560 1
0%
600 61
0%
650 9
0%
675 1
0%
680 1
0%
700 34
0%
725 1
0%
750 11
0%
800 28
0%
825 1
0%
850 4
0%
875 1
0%
900 8
0%
950 1
0%
1000 1
0%
1050 2
0%
1200 1
0%
1400 1
0%
1500 2
0%
2000 1
0%
2100 1
0%
2400 1
0%
3500 1
0%
3600 1
0%
5600 1
0%
Sysmiss 1930020
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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