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    Home / Central Data Catalog / HFPS / NGA_2020_NLPS_V12_M / variable [F47]
hfps

COVID-19 National Longitudinal Phone Survey 2020-2021
Phase 1

Nigeria, 2020 - 2021
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Reference ID
NGA_2020_NLPS_v12_M
DOI
https://doi.org/10.48529/xeym-xv94
Producer(s)
National Bureau of Statistics (NBS)
Collection(s)
High-Frequency Phone Surveys Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 05, 2020
Last modified
Nov 11, 2022
Page views
168411
Downloads
19294
  • Study Description
  • Data Description
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  • Related datasets
  • Data files
  • r1_sect_1.dta
  • r1_sect_1b.dta
  • r1_sect_2.dta
  • r1_sect_7.dta
  • r1_sect_10.dta
  • r1_sect_11.dta
  • r1_sect_a_3_4_5_6_8_9_12.dta
  • r2_sect_1.dta
  • r2_sect_1b.dta
  • r2_sect_2.dta
  • r2_sect_7.dta
  • r2_sect_11.dta
  • r2_sect_a_2_5_6_8_12.dta
  • r3_sect_1.dta
  • r3_sect_1b.dta
  • r3_sect_2.dta
  • r3_sect_7.dta
  • r3_sect_10.dta
  • r3_sect_11.dta
  • r3_sect_a_2_5_5a_6_12.dta
  • r4_sect_1.dta
  • r4_sect_1b.dta
  • r4_sect_2.dta
  • r4_sect_7.dta
  • r4_sect_11.dta
  • r4_sect_a_2_5_5b_6_8_9_12.dta
  • r5_sect_1.dta
  • r5_sect_1b.dta
  • r5_sect_2.dta
  • r5_sect_6b.dta
  • r5_sect_7.dta
  • r5_sect_a_2_5c_6_12.dta
  • r6_sect_1.dta
  • r6_sect_1b.dta
  • r6_sect_2.dta
  • r6_sect_5c.dta
  • r6_sect_7.dta
  • r6_sect_a_2_3a_6_9a_12.dta
  • r7_sect_1.dta
  • r7_sect_1b.dta
  • r7_sect_2.dta
  • r7_sect_11.dta
  • r7_sect_a_5_6_8_9_12.dta
  • r8_sect_1.dta
  • r8_sect_1b.dta
  • r8_sect_2.dta
  • r8_sect_10.dta
  • r8_sect_a_2_6_12.dta
  • r9_sect_1.dta
  • r9_sect_1b.dta
  • r9_sect_2.dta
  • r9_sect_7.dta
  • r9_sect_a_2_5_5c_5d_6_12.dta
  • r10_sect_1.dta
  • r10_sect_1b.dta
  • r10_sect_2.dta
  • r10_sect_6b.dta
  • r10_sect_a_2_5_6_9_9a_12.dta
  • r11_sect_1.dta
  • r11_sect_1b.dta
  • r11_sect_2.dta
  • r11_sect_5c.dta
  • r11_sect_11.dta
  • r11_sect_a_2_5_5b_6_12b_12.dta
  • r12_sect_a_12.dta
  • r12_sect_1.dta
  • r12_sect_1b.dta
  • r12_sect_2.dta
  • r12_sect_5e_9a.dta

Specify other type of shock (shock_cd_os)

Data file: r8_sect_10.dta

Overview

Valid: 17250
Invalid: -
Type: Discrete
Start: 21
End: 93
Width: 73
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
17205
99.7%
bad power supply. 1
0%
cost of electricity 1
0%
Cow eating our farm crops 1
0%
Electricity supply 1
0%
Electricity supply problem 1
0%
Electricity Tariff 1
0%
ENDSARS PROTEST 2
0%
ENDSARs protest affected his shop 1
0%
financial constraint 2
0%
financial difficulty 3
0%
financial distress 2
0%
flood affected their farm and so they did not make any harvest 1
0%
High Electricity tariff 1
0%
Hunger 4
0%
Increament of house rent 1
0%
Increase in electricity 1
0%
Increase in electricity bills 1
0%
Increase in electricity tariff 2
0%
Increase in nepa rarrif 1
0%
Increase of electricity 1
0%
Increment in nepa tarrif 1
0%
INSECURITY DISRUPTED THEIR HARVEST 1
0%
INSECURITY ISSUES 1
0%
LACK OF ELECTRICITY 1
0%
Lack of finance 1
0%
Lack of fund 1
0%
Lack of money 1
0%
LINITED IMPORTATION OF GOODS TO THEIR TOWNS 1
0%
low power supply 1
0%
no roads 1
0%
PROBLEM OF INSECURITY 1
0%
PROBLEM OF INSECURITY, THIEVES, AND KIDNNAPPERS IS SERIOUSLY AFFECTING US 1
0%
RESTRICTION OF MOVEMENT THAT CRUMBLED THEIR BUSINESS 1
0%
that the economic of the country is too bad 1
0%
There is no light for sometime 1
0%
we donot have good road and also bad network. 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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