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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2015_FNLP-BS_V01_EN_M_V01_A_OCS / variable [F3]
agricultural-surveys

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
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
Page views
71286
Downloads
395
  • Study Description
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  • ftfnlp_baselinedata_publish_06142017

Industry that this {INCOME_GENERATING_ACTIVITY} belongs to (enterprise_2_industry_3)

Data file: ftfnlp_baselinedata_publish_06142017

Overview

Valid: 9
Invalid: 3967
Type: Discrete
Decimal: 0
Start: 6036
End: 6037
Width: 2
Range: 1 - 31
Format: Numeric

Questions and instructions

Literal question
Please indicate the industry that this ${INCOME_GENERATING_ACTIVITY} belongs to?
Categories
Value Category Cases
1 Animal feed production 1
11.1%
2 Automobile maintenance 0
0%
3 Beauty salon 0
0%
4 Building materials manufacturing 0
0%
5 Business services 4
44.4%
6 Caf_ and restaurants 0
0%
7 Canning/packing services 0
0%
8 Cleaning services (non-laundry) 0
0%
9 Communications services 0
0%
10 Contracting for construction works 0
0%
11 Engineering services 0
0%
12 Equipment leasing services 0
0%
13 Gemstone and jewelry production 0
0%
14 Interior design/decorating services 0
0%
15 Intermediate food/bev products production 0
0%
16 Laundry services 0
0%
17 Leather and leather products manufacturing 0
0%
18 Maintenance services (non-automobile) 0
0%
19 Metal works and engineering 0
0%
20 Municipal services 0
0%
21 Retail 1
11.1%
22 Small transport services 1
11.1%
23 Software developer/web design services 0
0%
24 Staffing/outsourcing services 0
0%
25 Storage and warehousing services 0
0%
26 Textile and garment manufacturing 0
0%
27 Tourism services 0
0%
28 Vegetables and fruits 0
0%
29 Wholesale 0
0%
30 Wood works 0
0%
31 Other (please specify) 2
22.2%
Sysmiss 3967
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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