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    Home / Central Data Catalog / UGA_2013_UNPS_V02_M / variable [F201]
central

National Panel Survey 2013-2014

Uganda, 2013 - 2014
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Reference ID
UGA_2013_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 18, 2017
Last modified
Sep 07, 2022
Page views
116384
Downloads
4143
  • Study Description
  • Data Dictionary
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  • Related Publications
  • Data files
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6_1
  • GSEC6_2
  • GSEC6_3
  • GSEC8_1
  • GSEC9_1
  • GSEC9_2
  • GSEC10_1
  • GSEC10_2
  • GSEC10_3
  • GSEC11A
  • GSEC11B
  • GSEC12_1
  • GSEC14A
  • GSEC14B
  • GSEC15
  • GSEC15B
  • GSEC15BB
  • GSEC15BB_2
  • GSEC15BB_3
  • GSEC15C
  • GSEC15D
  • GSEC15E
  • GSEC16
  • GSEC17_1
  • GSEC17_2
  • GSEC17_3
  • GSEC17_4
  • GSEC19
  • WSEC1A
  • WSEC2
  • WSEC3
  • WSEC4
  • WSEC5
  • AGSEC1
  • AGSEC2A
  • AGSEC2B
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6A_1
  • AGSEC6B
  • AGSEC6B_1
  • AGSEC6C
  • AGSEC6C_1
  • AGSEC7
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC9
  • AGSEC9A
  • AGSEC10
  • AGSEC11
  • CSEC1A
  • CSEC2A
  • CSEC2B
  • CSEC2C
  • CSEC2C_1
  • CSEC3
  • CSEC3A
  • CSEC3B
  • CSEC3C
  • CSEC3D
  • CSEC3E
  • CSEC3F
  • CSEC3G
  • CSEC3H
  • CSEC3I
  • CSEC3J
  • CSEC3K
  • CSEC3K_1
  • CSEC3L
  • CSEC4A
  • CSEC4B
  • CSEC4C
  • CSEC4D
  • CSEC4D_1
  • CSEC4E
  • CSEC4F
  • CSEC4G
  • CSEC4H
  • CSEC4H_1
  • CSEC4I
  • CSEC4J
  • CSEC4K_1
  • CSEC4L
  • CSEC4M.1
  • CSEC4N
  • CSEC4O
  • CSEC4P
  • CSEC4Q
  • CSEC4R
  • CSEC5
  • CSEC5A
  • CSEC5B
  • CSEC5C
  • CSEC5D
  • CSEC5E
  • CSEC6A
  • CSEC6B
  • CSEC6C
  • CSEC6D
  • CSEC6E
  • gsec12
  • pov2013_14

Comments (C4HQ86)

Data file: CSEC4H

Overview

Valid: 311
Invalid: 0
Type: Discrete
Start: 58
End: 135
Width: 78
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
2 were refferals 1
0.3%
4 were refferals 1
0.3%
BBA 1
0.3%
Could not account for variance 1
0.3%
DELIVARIES BEFORE ARRIVAL 1
0.3%
DELIVERIES BEFORE ARRIVAL 1
0.3%
Double counting 2
0.6%
Double entry 1
0.3%
Double numbering 1
0.3%
Error in counting 2
0.6%
Error in ticking 1
0.3%
I THINK DATA ON HMIS WAS ESTIMATED 1
0.3%
Included Re-attendance 1
0.3%
Included re-attendance 2
0.6%
Laxity in counting 1
0.3%
MIINGSS 1
0.3%
MISS NUMBERING 1
0.3%
MISSING 8
2.6%
MISSING REGISTER 1
0.3%
MISSING TALLY SHEETS 1
0.3%
MISSING TALLY SHEETS 1
0.3%
MISSING HMIS 3
1%
MISSING REGISTER 4
1.3%
MISSING REGISTERS 2
0.6%
MISSING TA SHEETLLY 1
0.3%
MISSING TALLY SHEET 1
0.3%
MISSING TALLY SHEETS 1
0.3%
MISSING TALLY SHEET 1
0.3%
MISSING TALLY SHEETS 17
5.5%
MISSING TALLY SHEETS DURING REPORT MAKING , VACCINATERS DELAY TO BRING THEM. 1
0.3%
MISSING TALLYSHEETS 1
0.3%
MISSINNNG REGISTER 1
0.3%
MISSIREGISTERNG 1
0.3%
MISSNUMBERING 1
0.3%
Miscount 11
3.5%
Missed names in register 2
0.6%
Missed some names in the register 1
0.3%
Numbering from 1000 onwords was a problem. 1
0.3%
Numbering problem 2
0.6%
OUTREACH NOT REFLECTED 2
0.6%
POOR COUNTING 3
1%
POOR NUMBERING 6
1.9%
POOR SERIALISATION 5
1.6%
POOR SERIALISATION AND RE ATTENDANCE 1
0.3%
POOR SERIALIZATION 3
1%
POOR TAKKYING 1
0.3%
POOR TALLYING 11
3.5%
POOR TALLYING BUT A VERY SMALL DIFFERENCE 1
0.3%
Poor consistance 1
0.3%
Poor numbering 2
0.6%
Poor record keeping 2
0.6%
Poor recording 2
0.6%
Poor rtecording 1
0.3%
RE ATTENDACES 1
0.3%
RE ATTENDANCES 1
0.3%
RE ATTENDENCE 21
6.8%
RE ATTENDENCES 16
5.1%
RE- ATTENDANCE AND POOR SERIALISATION 1
0.3%
RE-ATTENDANCE 1
0.3%
RE-ATTENDANCES 1
0.3%
REATTENDECES 1
0.3%
REATTENDENCE 2
0.6%
REATTENDENCES 9
2.9%
REGISTER FPR OTHER CLINICS NOT FOUND 1
0.3%
REGISTER MISPLACED 2
0.6%
REGISTERS TOR OTHER CLINICS NOT FOUND 1
0.3%
Re attendences 3
1%
Re attendencies 1
0.3%
SOME REGISTER MISSING 1
0.3%
SOME REGISTERS MISSING 2
0.6%
SOME SHEETS MISSING 1
0.3%
Some names were missed by not being marked 2
0.6%
TALLY SHEETS MISSING 2
0.6%
TALLY SHEETS MISPLACED 2
0.6%
TALLYING ERROR 2
0.6%
WRONG NUMBERING 1
0.3%
WRONG RECORDING 2
0.6%
WRONG REPORTING 2
0.6%
WRONG TALLYING 2
0.6%
WRONG COUNTING 1
0.3%
WRONG NUMBERING 10
3.2%
WRONG NUMBERINS 1
0.3%
WRONG TALLYING 2
0.6%
Wrong tallying on the tally sheets 1
0.3%
cesarian deliveries not included as normal deliveries 1
0.3%
cesarian deliveries not included in normal deliveries 1
0.3%
diagnosis more than attendance 1
0.3%
doesn' use hmis 1
0.3%
doesn't use hmis 1
0.3%
error in tallying 2
0.6%
hims for june missing 3
1%
miss calculation 5
1.6%
miss counting 1
0.3%
miss talying 1
0.3%
missing 2
0.6%
missing register 1
0.3%
missing registers 3
1%
missing tally sheet 1
0.3%
missing tally sheets 8
2.6%
missins 1
0.3%
numbering 2
0.6%
outreach register missing 1
0.3%
poor counting 2
0.6%
poor numbering 1
0.3%
poor serialisatio 1
0.3%
poor serialisation 4
1.3%
poor serialization 1
0.3%
poor seriasatio 1
0.3%
poor tallying 10
3.2%
poor talying 1
0.3%
poorllying ta 1
0.3%
problem in numbering 1
0.3%
re attendence 8
2.6%
recording faded from hmis 105 could not be seen 1
0.3%
register missing 1
0.3%
some patients were not entered 1
0.3%
some talltsheets missing 1
0.3%
tally sheet missing 1
0.3%
tally sheet of outreach 1
0.3%
tallysheet missing 1
0.3%
the register for under 5yr missing 1
0.3%
the register for under 5yrs missing 1
0.3%
twin delivery concidered as single delivery 1
0.3%
wro tallyingng 1
0.3%
wron counting 1
0.3%
wrong numbering 1
0.3%
wrong counting 1
0.3%
wrong numbering 7
2.3%
wrong tallying 3
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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