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Feed the Future Nigeria Livelihoods Project - Baseline Survey, 2015

Nigeria, 2015
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Reference ID
NGA_2015_FNLP-BS_v01_EN_M_v01_A_OCS
Producer(s)
Gautam Bastian, Sreelakshmi Papineni
Collections
Agricultural Surveys
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Created on
Sep 10, 2020
Last modified
Nov 08, 2022
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Over the past 30 DAYS, did the household purchase any items? (selected_nonfood1mth)

Data file: ftfnlp_baselinedata_publish_06142017

Overview

Valid: 2038
Invalid: 0
Type: Discrete
Start: 654
End: 675
Width: 22
Range: -
Format: character

Questions and instructions

Literal question
Over the past 30 DAYS, did the household purchase or pay for any nonfood items? Please choose zero or more nonfood items from the following list.
Categories
Value Category Cases
1 120
5.9%
1 10 5
0.2%
1 10 11 3
0.1%
1 10 11 13 1
0%
1 10 11 19 1
0%
1 10 13 1
0%
1 11 2
0.1%
1 11 13 1
0%
1 13 5
0.2%
1 2 59
2.9%
1 2 10 1
0%
1 2 10 13 1
0%
1 2 13 3
0.1%
1 2 6 2
0.1%
1 2 7 10 2
0.1%
1 2 7 10 13 1
0%
1 2 9 1
0%
1 5 6 8 10 11 13 19 1
0%
1 5 7 10 11 13 1
0%
1 5 7 10 13 1
0%
1 5 7 8 10 11 13 1
0%
1 5 7 8 10 11 13 19 1
0%
1 6 4
0.2%
1 6 10 11 13 1
0%
1 6 10 13 1
0%
1 6 13 1
0%
1 6 7 2
0.1%
1 7 6
0.3%
1 7 10 3
0.1%
1 7 11 1
0%
1 7 13 2
0.1%
1 8 13 1
0%
1 9 1
0%
10 351
17.2%
10 11 81
4%
10 11 13 14
0.7%
10 11 13 15 6
0.3%
10 11 15 7
0.3%
10 11 18 1
0%
10 13 51
2.5%
10 13 15 2
0.1%
10 13 16 6
0.3%
10 13 19 1
0%
10 15 5
0.2%
10 16 3
0.1%
10 18 5
0.2%
11 14
0.7%
11 13 3
0.1%
11 16 18 1
0%
12 1
0%
12 14 1
0%
13 71
3.5%
13 16 2
0.1%
13 18 1
0%
15 2
0.1%
18 3
0.1%
19 2
0.1%
2 350
17.2%
2 10 41
2%
2 10 11 4
0.2%
2 10 11 13 1
0%
2 10 11 13 18 1
0%
2 10 11 18 1
0%
2 10 13 33
1.6%
2 10 13 18 2
0.1%
2 10 18 5
0.2%
2 13 42
2.1%
2 3 10 1
0%
2 3 10 18 1
0%
2 3 18 1
0%
2 5 2
0.1%
2 5 10 1
0%
2 5 10 13 2
0.1%
2 5 10 13 15 1
0%
2 5 13 11
0.5%
2 6 1
0%
2 7 9
0.4%
2 7 10 8
0.4%
2 7 10 11 13 6
0.3%
2 7 10 13 5
0.2%
2 7 10 13 15 1
0%
2 7 11 13 1
0%
2 7 13 8
0.4%
2 7 18 1
0%
2 7 8 10 1
0%
2 7 8 10 11 14 16 1
0%
2 7 8 10 13 18 1
0%
2 7 8 13 1
0%
2 7 9 5
0.2%
2 7 9 13 1
0%
2 8 3
0.1%
2 8 10 11 13 15 1
0%
2 8 13 2
0.1%
2 9 6
0.3%
2 9 10 1
0%
2 9 13 1
0%
20 1
0%
3 19
0.9%
3 10 6
0.3%
3 10 11 4
0.2%
3 10 11 13 1
0%
3 13 2
0.1%
3 18 2
0.1%
3 5 1
0%
3 7 3
0.1%
4 1
0%
4 10 11 1
0%
4 12 15 1
0%
4 8 1
0%
5 97
4.8%
5 10 16
0.8%
5 10 11 2
0.1%
5 10 11 13 2
0.1%
5 10 11 19 1
0%
5 10 13 18
0.9%
5 10 13 15 2
0.1%
5 10 13 15 16 1
0%
5 10 13 16 1
0%
5 10 13 19 1
0%
5 11 1
0%
5 11 13 3
0.1%
5 13 56
2.7%
5 16 1
0%
5 7 5
0.2%
5 7 10 4
0.2%
5 7 10 11 4
0.2%
5 7 10 11 13 4
0.2%
5 7 10 11 13 19 1
0%
5 7 10 13 4
0.2%
5 7 13 10
0.5%
5 7 8 10 11 1
0%
5 7 8 10 11 13 1
0%
5 7 8 10 11 13 19 1
0%
5 7 8 13 1
0%
5 7 8 9 10 11 13 1
0%
5 7 8 9 10 11 13 18 19 1
0%
5 7 9 4
0.2%
5 7 9 13 3
0.1%
5 9 1
0%
6 14
0.7%
6 10 1
0%
6 10 11 1
0%
6 10 11 13 1
0%
6 11 1
0%
6 13 1
0%
6 7 26
1.3%
6 7 10 11 1
0%
6 7 10 13 1
0%
6 7 9 10 13 1
0%
6 9 1
0%
7 113
5.5%
7 10 40
2%
7 10 11 4
0.2%
7 10 11 13 3
0.1%
7 10 11 13 19 1
0%
7 10 11 19 1
0%
7 10 13 18
0.9%
7 10 18 1
0%
7 11 3
0.1%
7 11 13 1
0%
7 13 13
0.6%
7 8 10 11 13 19 1
0%
7 8 13 16 1
0%
7 8 9 10 11 13 19 1
0%
7 9 36
1.8%
7 9 10 11 18 1
0%
7 9 13 4
0.2%
8 3
0.1%
8 13 6
0.3%
9 11
0.5%
9 10 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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