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    Home / Central Data Catalog / UGA_2018_RHCS_V01_M / variable [F41]
central

Refugee and Host Communities Household Survey 2018

Uganda, 2018
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Reference ID
UGA_2018_RHCS_v01_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Jan 03, 2022
Page views
19753
Downloads
127
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • agsec_1.dta
  • agsec_2.dta
  • agsec_3.dta
  • agsec_4.dta
  • csec1c.dta
  • csec2a.dta
  • csec2d.dta
  • csec3a.dta
  • csec3b.dta
  • csec3d.dta
  • csec3f.dta
  • csec4.dta
  • csec4c.dta
  • csec4m.dta
  • csec9.dta
  • cseccg.dta
  • cseclp.dta
  • csecn.dta
  • csecsf.dta
  • csecsf2.dta
  • hsec_bi.dta
  • hsec_hp.dta
  • hsec_hs.dta
  • hsec_hs_a.dta
  • hsec_sf.dta
  • hsec_wf.dta
  • hsec2a.dta
  • hsec2b.dta
  • hsec2c.dta
  • hsec4.dta
  • hsec5.dta
  • hsec7a.dta
  • hsec7b.dta
  • hsec8.dta
  • hsec9.dta
  • hsec10.dta
  • hsec11.dta
  • hsec13a.dta
  • hsec13b.dta
  • hsec15a.dta
  • hsec15b.dta
  • hsec15c.dta
  • hsec15d.dta
  • hsec15e.dta
  • hsec22.dta
  • hsec22a.dta
  • pov_2018_share.dta
  • weights.dta
  • csec1.dta
  • hsec1.dta

Other operating expenses such as fuel, kerosene, electricity etc during that mon (N14)

Data file: hsec13b.dta

Overview

Valid: 509
Invalid: -
Minimum: 0
Maximum: 1000000
Type: Discrete
Decimal: 2
Start: 417
End: 426
Width: 10
Range: 0 - 1000000
Format: Numeric

Questions and instructions

Literal question
Other operating expenses such as fuel, kerosene, electricity etc during that month?
Categories
Value Category Cases
0 210
41.3%
1000 2
0.4%
1500 1
0.2%
2000 8
1.6%
3000 1
0.2%
4000 5
1%
5000 22
4.3%
6000 4
0.8%
7400 1
0.2%
8000 2
0.4%
10000 38
7.5%
12000 1
0.2%
13000 1
0.2%
15000 9
1.8%
16000 1
0.2%
17000 1
0.2%
20000 38
7.5%
24000 2
0.4%
25000 2
0.4%
30000 20
3.9%
35000 5
1%
36000 1
0.2%
37500 1
0.2%
40000 7
1.4%
45000 3
0.6%
50000 29
5.7%
60000 10
2%
70000 1
0.2%
76000 1
0.2%
80000 9
1.8%
90000 1
0.2%
100000 19
3.7%
120000 2
0.4%
125000 1
0.2%
130000 2
0.4%
150000 7
1.4%
170000 1
0.2%
200000 18
3.5%
250000 1
0.2%
270000 1
0.2%
300000 9
1.8%
340000 1
0.2%
400000 1
0.2%
500000 3
0.6%
600000 2
0.4%
850000 1
0.2%
1000000 3
0.6%
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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