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    Home / Central Data Catalog / NGA_2010-2019_NUPD_V01_M / variable [F41]
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General Household Survey 2010-2019
Uniform Panel Data

Nigeria, 2010 - 2019
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Reference ID
NGA_2010-2019_NUPD_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Metadata
DDI/XML JSON
Created on
May 18, 2023
Last modified
May 18, 2023
Page views
73602
Downloads
180
  • Study Description
  • Data Dictionary
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  • Data files
  • nup_pp_mod_a_b.dta
  • nup_pp_mod_c.dta
  • nup_ph_mod_c.dta
  • nup_pp_mod_d.dta
  • nup_pp_mod_d2.dta
  • nup_ph_mod_d.dta
  • nup_ph_mod_d2.dta
  • nup_pp_mod_e.dta
  • nup_ph_mod_e.dta
  • nup_pp_mod_f.dta
  • nup_pp_mod_g.dta
  • nup_ph_mod_g.dta
  • nup_pp_mod_h.dta
  • nup_pp_mod_i.dta
  • nup_pp_mod_j.dta
  • nup_pp_mod_j2.dta
  • nup_pp_mod_k.dta
  • nup_pp_mod_l.dta
  • nup_pp_mod_mc1.dta
  • nup_pp_mod_mc2.dta
  • nup_pp_mod_mc3.dta
  • nup_pp_mod_n.dta
  • nup_pp_mod_n1.dta
  • nup_pp_mod_o.dta
  • nup_ph_mod_o.dta
  • nup_ph_mod_o_2_1.dta
  • nup_ph_mod_o_2_2.dta
  • nup_ph_mod_o_a.dta
  • nup_pp_mod_p.dta
  • nup_ph_mod_p.dta
  • nup_pp_mod_q.dta
  • nup_ph_mod_q.dta
  • nup_pp_mod_r_a.dta
  • nup_pp_mod_r_b.dta
  • nup_pp_mod_r_c.dta
  • nup_ph_mod_r_a.dta
  • nup_ph_mod_r_b.dta
  • nup_ph_mod_r_c.dta
  • nup_ph_mod_r_d.dta
  • nup_ph_mod_r_e.dta
  • nup_pp_mod_s.dta
  • nup_ph_mod_s.dta
  • nup_pp_mod_t.dta
  • nup_pp_mod_u.dta
  • nup_ph_mod_u.dta
  • nup_ph_mod_u_b.dta
  • nup_pp_mod_v.dta
  • nup_ph_mod_v.dta
  • nup_phx_mod_flap_a_roster_b.dta
  • nup_phx_mod_c.dta
  • nup_phx_mod_d.dta
  • nup_phx_mod_e.dta
  • nup_phx_mod_f.dta
  • nup_phx_mod_g.dta
  • nup_phx_mod_h.dta
  • nup_phx_mod_i.dta
  • nup_phx_mod_j.dta
  • nup_phx_mod_k.dta
  • nup_phx_mod_l.dta
  • nup_phx_mod_l_1.dta
  • nup_phx_mod_l_2.dta
  • nup_phx_mod_m.dta
  • nup_phx_mod_n.dta
  • nup_phx_mod_o.dta
  • nup_phx_mod_p.dta

What were the causes of this situation? (Cause 1) (hs_07_1)

Data file: nup_pp_mod_s.dta

Overview

Valid: 5848
Invalid: 13483
Minimum: 1
Maximum: 14
Type: Discrete
Decimal: 0
Start: 78
End: 79
Width: 2
Range: 1 - 14
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. Inadequate household stocks due to drought/poor rains 621
10.6%
2 2. Inadequate household food stocks due to crop pest damage 225
3.8%
3 3. Inadequate household food stocks due to small land size 469
8%
4 4. Inadequate household food stocks due to lack of farm inputs 612
10.5%
5 5. Food in the market was very expensive 1341
22.9%
6 6. Unable to reach the market due to high transportation costs 70
1.2%
7 7. No food in the market 35
0.6%
8 8. Floods/water logging 113
1.9%
9 9. Unable to reach the market due to civil unrest/riot 36
0.6%
10 10. Conflict (militancy/insurgency) 0
0%
11 11. Inadequate food stock from farm due to conflict/security 36
0.6%
12 12. Unable to reach the market due to conflict/security 7
0.1%
13 13. Lack of money 1408
24.1%
14 14. Other (specify) 875
15%
Sysmiss 13483
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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