Home / Central Data Catalog / LSMS / UGA_2015_UNPS_V02_M / variable [F93]
lsms

National Panel Survey 2015-2016

Uganda, 2015 - 2016
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Reference ID
UGA_2015_UNPS_v02_M
DOI
https://doi.org/10.48529/hm2z-2k12
Producer(s)
Uganda Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 31, 2019
Last modified
Jan 30, 2020
Page views
196646
Downloads
13563

Comments (C4HQ86)

Data file: CSEC4H

Overview

Valid: 534
Invalid: 0
Type: Discrete
Start: 62
End: 113
Width: 52
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0 3
0.6%
Clerk double counted 6
1.1%
Clerk made a double count 1
0.2%
Clerk made double counting 1
0.2%
Clerk missed some names 2
0.4%
Clerk missed some pages 1
0.2%
Clerk missed some tally sheets 1
0.2%
Counted re-attendance in register 2
0.4%
Deliveries before arrival 1
0.2%
Double countig on side of nurse 1
0.2%
Double counting by the nurse 1
0.2%
Double counting in register 3
0.6%
Extra tally sheets produced afterwards 1
0.2%
FAINT NOT SEEN 1
0.2%
HIMS AND SOME TALLY SHEETS MISSING 1
0.2%
HIMS MISSING 9
1.7%
HMIS 105 MISSING 2
0.4%
HMIS 105 form displaced 3
0.6%
HMIS FILLED WITH 0 1
0.2%
HMIS NOT FOUND 2
0.4%
Lost tally sheets 1
0.2%
MISSING 8
1.5%
MISSING DATA 8
1.5%
MISSING HMIS 12
2.2%
MISSING RECORD 1
0.2%
MISSING RECORDS 10
1.9%
MISSING REGISTER 3
0.6%
MISSING REGISTERS 1
0.2%
MISSING TALLY SHEET 3
0.6%
MISSING TALLY SHEETS 12
2.2%
MISSING TALLYSHEETS 1
0.2%
MISSINS TALLY SHEETS 1
0.2%
Mised some names in register 1
0.2%
Misse3d some names in register 2
0.4%
Missed maternity and Antental figures 1
0.2%
Missed some names in register 5
0.9%
Missed some names in the register 2
0.4%
Missing data from HMIS 1
0.2%
Missing register 3
0.6%
Missing some tally sheets 1
0.2%
Missing tally sheets during time of record making 1
0.2%
N/A 1
0.2%
NO DELIVERIES BEFORE ARRIVAL 3
0.6%
NO HMIS 105 IN THE CLINIC 1
0.2%
NO HMIS105 IN THE CLINIC 1
0.2%
NO REATTENDENCE 1
0.2%
NOT RECORDED 3
0.6%
Nurse doubl counted 1
0.2%
Nurse double counted 7
1.3%
Nurse double counted on register 1
0.2%
Nurse inclided re-attendance 1
0.2%
Nurse included re-attendance figures 1
0.2%
Nurse issed out some names in register 1
0.2%
Nurse left out some pages 1
0.2%
Nurse made a double count 1
0.2%
Nurse mis counted 1
0.2%
Nurse miscounted 1
0.2%
Nurse missed 2 names 1
0.2%
Nurse missed a page 1
0.2%
Nurse missed names in register 1
0.2%
Nurse missed som names in register 1
0.2%
Nurse missed some names 2
0.4%
Nurse missed some names in register 1
0.2%
Nurses made a double count 1
0.2%
OK 18
3.4%
OPD REGIS. NOT FOUND 1
0.2%
POOR RECORD KEEPING 1
0.2%
POOR ESRIALISATION 1
0.2%
POOR NUMBERING 2
0.4%
POOR RECORD KEEPING 3
0.6%
POOR SERIALISATION 7
1.3%
POOR SERIALIZATION 3
0.6%
POOR TALLING 1
0.2%
POOR TALLTING 1
0.2%
POOR TALLYING 64
12%
POOR TALLYING AND SOME REGISTERS MISSING 1
0.2%
POOT SERIALISATION 1
0.2%
Poor counting 1
0.2%
RE ATTENDENCE 5
0.9%
RE ATTENTANCE 1
0.2%
REATTENDANCE 3
0.6%
REATTENDENCE 46
8.6%
REATTENDENCES 1
0.2%
RECORDS MISSING 2
0.4%
RECORDS WERE MISSING 1
0.2%
REG MISPLACED 1
0.2%
REG MISSING 1
0.2%
REG. MISPLACED 1
0.2%
REG. MISSING 1
0.2%
REG.MISSING 1
0.2%
REGISTER MISPLACED 1
0.2%
RONG RECORDING 1
0.2%
Records clerk missed some names 1
0.2%
Records double counted 3
0.6%
Records missed by one 2
0.4%
SOME RECORDS MISSPLACED 1
0.2%
SOME REGISTERS MISSING 2
0.4%
SOME TALLY SHEETS MISSING 4
0.7%
SOME TALLYSHEETS MISSING 1
0.2%
Slight error by nurse 2
0.4%
Slight error by the nurse 2
0.4%
Some tally sheets had been misolaced 1
0.2%
TALLY SHEET MISSING 5
0.9%
TALLY SHEETS MISSING 2
0.4%
WRONG ADDITION 1
0.2%
WRONG NUMBERING 10
1.9%
WRONG RECORDING 2
0.4%
WRONG REPORTING 3
0.6%
WRONG TALLYING 2
0.4%
Wrong numbering 1
0.2%
Wrong counting 2
0.4%
Wrong numbering 9
1.7%
Wrong recording 1
0.2%
Wrong reporting 1
0.2%
cumulative 1
0.2%
delay of tally sheets from out reaches 1
0.2%
delay of tally sheets from outreaches 1
0.2%
deliveries before arrival 1
0.2%
hims 105 missing 3
0.6%
hims missing 2
0.4%
hims not found 2
0.4%
imformation for a different month filled in the HIMS 1
0.2%
mising data 2
0.4%
miss calculation 1
0.2%
missing 8
1.5%
missing data 1
0.2%
missing records 1
0.2%
missing tally sheets 1
0.2%
missing data 1
0.2%
missing data from HMIS 1
0.2%
missing hmis 12
2.2%
missing hmis 105 3
0.6%
missing recording 1
0.2%
missing register 4
0.7%
missing registers 1
0.2%
missing tally sheet. 1
0.2%
missing tally sheets 25
4.7%
missing tally sheets when reports are being made. 1
0.2%
missing tally sheets. 1
0.2%
missins 1
0.2%
misssing tally sheets 1
0.2%
not easy to get data from different departments 1
0.2%
ok 12
2.2%
poor numbering 2
0.4%
poor serialization 2
0.4%
poor tallying 13
2.4%
poor tallying and missing resisters 1
0.2%
problem when tallying 1
0.2%
re attence 1
0.2%
re attendences 1
0.2%
re-attendance 1
0.2%
reattendance 1
0.2%
reattendence 2
0.4%
records clerk not keen 1
0.2%
register missing 1
0.2%
register not found 1
0.2%
registers missing 1
0.2%
so many to count them 1
0.2%
so muny to count them 1
0.2%
some registers misplaced 1
0.2%
some registers misplaced 1
0.2%
some registers missing 3
0.6%
soo many to count them 1
0.2%
tally sheets for Kawala health facility missing 1
0.2%
there was effective out reach 1
0.2%
wrong counting 1
0.2%
wrong numbering 12
2.2%
wrong numberings 2
0.4%
wrong numberins 1
0.2%
wrong recording 1
0.2%
wrong tallying 1
0.2%
wronm numbering 1
0.2%
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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