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    Home / Central Data Catalog / LSMS / NGA_2023_GHSP-W5_V02_M / variable [F9]
lsms

General Household Survey, Panel 2023-2024
Wave 5

Nigeria, 2023 - 2024
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Reference ID
NGA_2023_GHSP-W5_v02_M
Producer(s)
National Bureau of Statistics (NBS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 21, 2024
Last modified
Sep 16, 2026
Page views
509591
Downloads
99023
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • secta_plantingw5
  • sect1_plantingw5
  • sect1a_plantingw5
  • sect1b_plantingw5
  • sect1ca_plantingw5
  • sect1c_plantingw5
  • sect1d_plantingw5
  • sect1e_plantingw5
  • sect3_plantingw5
  • sect4a_plantingw5
  • sect4b_plantingw5
  • sect5a1_plantingw5
  • sect5a2_plantingw5
  • sect5b_plantingw5
  • sect5c1_plantingw5
  • sect5c2_plantingw5
  • sect6a_plantingw5
  • sect6b_plantingw5
  • sect6c_plantingw5
  • sect7a_plantingw5
  • sect7b_plantingw5
  • sect7c_plantingw5
  • sect8_plantingw5
  • sect9_plantingw5
  • sect10_plantingw5
  • sect11_plantingw5
  • sect11a_plantingw5
  • sect11a1_plantingw5
  • sect11b1_plantingw5
  • sect11c1_plantingw5
  • sect11c1a_plantingw5
  • sect11c1b_plantingw5
  • sect11e1_plantingw5
  • sect11e2_plantingw5
  • sect11f_plantingw5
  • sect11i_plantingw5
  • sect11j_plantingw5
  • sect11k1_plantingw5
  • sect11k2_plantingw5
  • sect11k3_plantingw5
  • sect11l1_plantingw5
  • sect11l2_plantingw5
  • sect12_plantingw5
  • sectc_plantingw5
  • sectc1_plantingw5
  • sectc2_plantingw5
  • sectc3a_plantingw5
  • sectc3b_plantingw5
  • sectc4a_plantingw5
  • sectc4b_plantingw5
  • sectc4c_plantingw5
  • sectc5_plantingw5
  • sectc6_plantingw5
  • sectc7_plantingw5
  • secta_harvestw5
  • sect1_harvestw5
  • sect2_harvestw5
  • sect2b_harvestw5
  • sect2c_harvestw5
  • sect3a_harvestw5
  • sect3b_harvestw5
  • sect3c_harvestw5
  • sect3d_harvestw5
  • sect4a_harvestw5
  • sect4b_harvestw5
  • sect5a_harvestw5
  • sect5b_harvestw5
  • sect5c_harvestw5
  • sect6a_harvestw5
  • sect6b_harvestw5
  • sect6c_harvestw5
  • sect7_harvestw5
  • sect8a_harvestw5
  • sect8b_harvestw5
  • sect8c_harvestw5
  • sect8d_harvestw5
  • sect9_harvestw5
  • sect10_harvestw5
  • sect11a_harvestw5
  • sect11b_harvestw5
  • sect12_harvestw5
  • sectaa_harvestw5
  • secta1_harvestw5
  • secta2a_harvestw5
  • secta2b_harvestw5
  • secta3i_harvestw5
  • secta3iii_harvestw5
  • secta3ii_harvestw5
  • sectaphl1_harvestw5
  • sectaphl2_harvestw5
  • secta4_harvestw5
  • secta5b_harvestw5
  • secta11c2_harvestw5
  • secta11c3_harvestw5
  • secta11c3q12_harvestw5
  • secta12_harvestw5
  • sectc_harvestw5
  • sectc1_harvestw5
  • sectc2a_harvestw5
  • sectc2b_harvestw5
  • sectc3_harvestw5
  • sectc4_harvestw5
  • sectc5_harvestw5
  • sectc6_harvestw5
  • sectc6b_harvestw5
  • sectc8_harvestw5
  • nga_householdgeovariables_y5
  • totcons_final

What type of illness/injury did [NAME] suffer most in the past 4 weeks? (TYPE 1) (s3q6_1)

Data file: sect3_plantingw5

Overview

Valid: 6408
Invalid: 21013
Minimum: 1
Maximum: 96
Type: Discrete
Decimal: 0
Start: 56
End: 57
Width: 2
Range: -
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. CHOLERA 65
0.2%
2 2. MALARIA 4079
14.9%
3 3. TYPHOID 216
0.8%
4 4. HYPERTENSION 150
0.5%
5 5. COMMON COLD 209
0.8%
6 6. FLU 12
0%
7 7. CATARRH 255
0.9%
8 8. COUGH 216
0.8%
9 9. TB 2
0%
10 10. HEADACHE 250
0.9%
11 11. DIABETES 33
0.1%
12 12. DIARRHOEA 44
0.2%
13 13. GUINEA WORM 3
0%
14 14. DYSENTRY 11
0%
15 15. SCABIES 6
0%
16 16. RINGWORM 3
0%
17 17. TRACHOMA 0
18 18. HEPATITIS B 9
0%
19 19. STREPTOCOCCI 0
20 20. ONCHOCECIASIS 0
21 21. INJURY 146
0.5%
23 23. YELLOW FEVER 8
0%
24 24. MENINGITIS 3
0%
25 25. CHICKEN POX 10
0%
26 26. PNEUMONIA 8
0%
27 27. ULCER/STOMACH PAIN 141
0.5%
28 28. EYE PROBLEM 73
0.3%
29 29. TOOTH PROBLEM 26
0.1%
30 30. BODY PAINS 300
1.1%
31 31. COVID-19 0
32 32. CANCER 10
0%
33 33. HIV/AIDS 0
34 34. MONKEYPOX 0
35 35. ASTHMA 10
0%
36 36. MENTAL ISSUES 22
0.1%
96 96. OTHER (SPECIFY) 88
0.3%
Sysmiss 21013
76.6%
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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