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    Home / Central Data Catalog / UGA_2016_UNHS_V01_M / variable [F34]
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National Household Survey 2016-2017

Uganda, 2016 - 2017
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Reference ID
UGA_2016_UNHS_v01_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
53381
Downloads
533
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • conversion2016.dta
  • CSEC1.dta
  • CSEC1c.dta
  • CSEC1d.dta
  • CSEC1dB10.dta
  • CSEC2A.dta
  • CSEC2B.dta
  • CSEC2C.dta
  • CSEC2D.dta
  • CSEC2DD.dta
  • CSEC3.dta
  • CSEC8.dta
  • CSEC9.dta
  • CSEC10.dta
  • CSEC11a.dta
  • CSEC11b.dta
  • GSEC1.dta
  • GSEC2.dta
  • GSEC3.dta
  • GSEC4.dta
  • GSEC5.dta
  • GSEC6b.dta
  • GSEC6c.dta
  • GSEC6c_1.dta
  • GSEC6d.dta
  • GSEC6e.dta
  • GSEC7a.dta
  • GSEC7b.dta
  • GSEC7c.dta
  • GSEC9.dta
  • GSEC10A.dta
  • GSEC10B.dta
  • GSEC11.dta
  • GSEC12.dta
  • GSEC12B.dta
  • GSEC12C.dta
  • GSEC12D.dta
  • GSEC13a.dta
  • GSEC13b.dta
  • Labour.dta
  • Market.dta
  • pov16.dta
  • pov16_rev1.dta
  • tenp1.dta
  • tenp2.dta
  • tenp3.dta
  • tenp4.dta

Amount recieved in cash from sale of secondhand (used) vehicles (P13_31)

Data file: GSEC11.dta

Overview

Valid: 53
Invalid: 15665
Minimum: 60000
Maximum: 26000000
Type: Discrete
Decimal: 0
Start: 225
End: 232
Width: 8
Range: 60000 - 26000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
60000 1
1.9%
70000 1
1.9%
74000 1
1.9%
160000 1
1.9%
165000 1
1.9%
170000 1
1.9%
200000 1
1.9%
300000 2
3.8%
400000 2
3.8%
500000 1
1.9%
600000 2
3.8%
800000 2
3.8%
850000 2
3.8%
1000000 2
3.8%
1600000 1
1.9%
2000000 1
1.9%
2200000 1
1.9%
2500000 2
3.8%
3000000 4
7.5%
3600000 1
1.9%
4000000 4
7.5%
6000000 1
1.9%
7000000 1
1.9%
7800000 1
1.9%
8000000 2
3.8%
9000000 1
1.9%
11000000 2
3.8%
12000000 1
1.9%
12500000 1
1.9%
13000000 1
1.9%
15000000 2
3.8%
16000000 1
1.9%
20000000 2
3.8%
24000000 1
1.9%
25000000 1
1.9%
26000000 1
1.9%
Sysmiss 15665
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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