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    Home / Central Data Catalog / NGA_2020_NLPS_V12_M / variable [F65]
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COVID-19 National Longitudinal Phone Survey 2020-2021, Phase 1

Nigeria, 2020 - 2021
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Reference ID
NGA_2020_NLPS_v12_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
May 31, 2022
Page views
83113
Downloads
4416
  • Study Description
  • Data Dictionary
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  • 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 reason (s6q14_os)

Data file: r8_sect_a_2_6_12.dta

Overview

Valid: 1810
Invalid: -
Type: Discrete
Start: 482
End: 561
Width: 80
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1755
97%
added money on our old stock 1
0.1%
BECAUSE CUSTOMERS ARE NOT WILLING TO PAY THE RIGHT AMOUNT FOR GOODS AND SERVICES 1
0.1%
BECAUSE FLOOD THAT AFFECTED THE COMMUNITY PEOPLE RAN AWAY 1
0.1%
Because of fuel scarcity 1
0.1%
Because of my children that i need to take care of. 1
0.1%
Because of the condition of the country 1
0.1%
Because of the inflation rate 1
0.1%
BECAUSE THINGS ARE EXPENSIVE 1
0.1%
BECAUSE THINGS ARE VERY EXPENSIVE 3
0.2%
Because we eat from it so there is no other support from any where. 1
0.1%
Customers are owing 1
0.1%
dueto heavy rainfall 2
0.1%
dueto rainfall 1
0.1%
Ex 1
0.1%
GOODS ARE EXPENSIVE 1
0.1%
goods are expensives 1
0.1%
he is not running it for payment. 1
0.1%
High cost of goods 1
0.1%
high price in market 1
0.1%
i did not do any work 1
0.1%
Increase in price of inputs 2
0.1%
INCREASE IN PRICE OF MATERIAL 1
0.1%
INCREASED IN ORICES OF INPUTS 1
0.1%
INCREASED IN PRICES IN INPUTS 1
0.1%
INCREASED IN PRICES OF INPUTS 2
0.1%
Inputs too expensive 1
0.1%
Lack of income 1
0.1%
No finance to add up to the buisness 1
0.1%
No goods to sale in the market 1
0.1%
No money in the country 1
0.1%
No money to buy for reselling 1
0.1%
Price of goods is scarce and costly 1
0.1%
Price of goods is too high 1
0.1%
Price of goods to costly 1
0.1%
Price of goods too high 4
0.2%
Price too high 1
0.1%
Price too high,so we can not buy enough things to sell 1
0.1%
prices of goods came back so we had more gain 1
0.1%
Prices of inputs 1
0.1%
Prices of inputs went up 1
0.1%
THE BUS IS DEVELOPING FAULTS 1
0.1%
The goods are scarce now 1
0.1%
The rains affected their sales. 1
0.1%
THERE IS NO LIGHT IN OUR AREA TO COOL THE DRINKS 1
0.1%
There is no money in circulation 1
0.1%
Things are too costly 1
0.1%
we added more money on goods now 1
0.1%
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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