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agricultural-surveys

National Panel Survey 2013-2014

Uganda, 2013 - 2014
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Reference ID
UGA_2013-2014_NPS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 11, 2020
Last modified
Nov 08, 2022
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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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