General Household Survey-Panel Wave 3 (Post Planting) 2015-2016
Third round
Nigeria, 2015
Get Microdata
Reference ID
NGA-NBS-NGHPS-2016-v1.0
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Created on
Dec 11, 2016
Last modified
Dec 11, 2016
Page views
252368
Downloads
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- Data files
-
Section 1_
Roster - Section 3_Labor
-
Section
4A_Savings and
Insurance -
Section 4B_ ICT
- Mobile Phone
Banking -
Section
4C_Credit -
Section
4C2_Credit -
Section
4C2_Credit -
Section 5_
Household
Assets -
Section
7A_Meals Away
from Home -
Section 7B_Food
Expenditure -
Section 8A_
Non-Food
Expenditure -
Section 8B_
Non-Food
Expenditure -
Section
8C_Non-Food
Expenditure -
Section 9_Food
Security -
Section
9B_Subjective
Wellbeing -
Section
11_Housing -
Section A-1_
Household
Identification -
Section 11A_
Plot Roster -
Section 11A1_
Plot Roster -
Section 11B1_
Land Invetory -
Section 11C1_
Labor -
Section
11E_Seed
Acquisition -
Section 11F_
Planted Field
and Tree Crops -
Section
11I_Animal
Holdings -
Section 11L1_
Extension
Services 1 -
Section 11L2_
Extension
Services 2 -
Section 11J_
Animal Costs -
Section 11K_
Agricultural
by-Product -
Section 12_
Network Roster -
Section A-1_
Household
Identification -
Community
_Identification -
Section 1_
Respondent
Characteristics -
Section 2A_Food
Prices - 1st
Location -
Section 2B_
Food Prices -
2nd Location -
Section 3A_
Labor -
Section 3B_
Labor -
Section 4A_
Land Prices and
Credit -
Section 4B_
Land prices and
credit
Children was hungry but did not eat because not enought money for food? (S9bq12)
Data file: Section 9B_Subjective Wellbeing
Overview
Valid:
1442
Invalid:
3169
Type:
Discrete
Decimal:
0
Start:
31
End:
31
Width:
1
Range:
1 - 2
Format:
Numeric
Questions and instructions
Literal question
During the last 12 months, was there a time when any of the children younger than 5 years old was hungry but did not eat because there was not enough money or other resources for food?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Yes | 181 |
12.6%
|
| 2 | 2. No | 1261 |
87.4%
|
| Sysmiss | 3169 |
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.