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    Home / Central Data Catalog / UGA_2011_UNPS_V02_M / variable [F47]
central

National Panel Survey 2011-2012
Wave III

Uganda, 2011 - 2012
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Reference ID
UGA_2011_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics (UBOS)
Metadata
DDI/XML JSON
Study website
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
Page views
238148
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  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Data files
  • AGSEC1
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6B
  • AGSEC6C
  • AGSEC7A
  • AGSEC7B
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC8D
  • AGSEC8E
  • AGSEC9
  • AGSEC10
  • CSEC1
  • CSEC2a
  • CSEC2b
  • CSEC2c
  • CSEC2c_1
  • CSEC3_1
  • CSEC3a
  • CSEC3b
  • CSEC3c
  • CSEC3d
  • CSEC3e
  • CSEC3f
  • CSEC3g
  • CSEC3h
  • CSEC3i
  • CSEC3j
  • CSEC3k
  • CSEC3L
  • CSEC3m
  • CSEC4ab
  • CSEC4c
  • CSEC4d
  • CSEC4e
  • CSEC4f
  • CSEC4g
  • CSEC4h
  • CSEC4i
  • CSEC4j
  • CSEC4k
  • CSEC4l
  • CSEC4m
  • CSEC4n
  • CSEC4o
  • CSEC4p
  • CSEC4p_B
  • CSEC4q
  • CSEC4r
  • CSEC5_1
  • CSEC5a
  • CSEC5b
  • CSEC5c
  • CSEC5d
  • CSEC5e
  • CSEC6a
  • CSEC6b
  • CSEC6c
  • CSEC6d
  • CSEC6e
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6A
  • GSEC6B
  • GSEC6C
  • GSEC8
  • GSEC9A
  • GSEC9B
  • GSEC10A
  • GSEC10B
  • GSEC10C
  • GSEC11
  • GSEC12
  • GSEC14
  • GSEC15B
  • GSEC15BB
  • GSEC15C
  • GSEC15D
  • GSEC16
  • GSEC17A
  • GSEC17B
  • GSEC17C
  • GSEC18
  • GSEC18A
  • GSEC18B
  • UNPS_Geovars_1112
  • WSEC2A
  • WSEC2B_1
  • WSEC2B_2
  • UNPS 2011-12
    Consumption
    Aggregate
  • HH_SEC10_2
  • AGSEC2A
  • AGSEC2B

Comments (c4h86)

Data file: CSEC4h

Overview

Valid: 330
Type: Discrete
Start: 51
End: 154
Width: 104
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
CHILDREN REGISTER MISSING 1
0.3%
DATA ESTIMATED 1
0.3%
DELIVERY NOT RECORDED IN REGISTER 1
0.3%
ESTIMATED 1
0.3%
FOR VALUE IN hmis 105 , THE REFFERRED CASES WERE LALSO CONSIDERED 2
0.6%
HIMS MISSING 2
0.6%
HMIS NOT YET FILLED 1
0.3%
HMIS ESITMATED 1
0.3%
HMIS ESTIMATED 1
0.3%
HMIS NOT YET FILLED 1
0.3%
HMIS records not available even at HSD 1
0.3%
LIZATIONPOOR SERIA 1
0.3%
MISCONT IN REGISTER BY STAFF 2
0.6%
MISCOUNT 4
1.2%
MISPLACED SHEET 1
0.3%
MISSING 2
0.6%
MISSING TALLY SHEETS 1
0.3%
MISSING TALLY SHEETS 3
0.9%
MISSING HMIS 13
3.9%
MISSING REGISTER 4
1.2%
MISSING TALLY SHEET 1
0.3%
MISSING TALLY SHEETS 18
5.5%
MISSING HMIS 6
1.8%
MISSING REGISTER 2
0.6%
MISSING REGISTERS 1
0.3%
MISSING TALLEY SHEETS 1
0.3%
MISSING TALLY SHEETS 2
0.6%
MISSING TALLY SHEETS 3
0.9%
MISSONG HMIS 1
0.3%
MISSSING TALLY SHEETS 1
0.3%
MISSSING REGISTER 1
0.3%
Mis count by staff 1
0.3%
Miscount 6
1.8%
Miscount by staff 1
0.3%
Miscount on HMIS form 1
0.3%
Mised a book 1
0.3%
Missing pages 1
0.3%
Missing records 1
0.3%
NO ACCESS TO REGISTERS 1
0.3%
NO ACCESS TO THE REGISTERS 1
0.3%
NO COPY SUBMITTED 5
1.5%
NO CPY SUBMITTED 1
0.3%
NO DATA SENT TO DISTRICT 1
0.3%
NO OPD registers available 2
0.6%
NOT RECORDED IN HMIS 1
0.3%
NOT RECORDED IN REGISTER 1
0.3%
PART OF ADULTS REGISTER MISSING 1
0.3%
POOR TALLYING 1
0.3%
POOR COUNTING 3
0.9%
POOR MUNBERING 1
0.3%
POOR NUMBERING 5
1.5%
POOR SERIALIZATION 1
0.3%
POOR TALLYING 16
4.8%
RE ATTANDENCE 1
0.3%
REGISTER MISPLACED 1
0.3%
REGISTER FOR UNDER 1 YR MISSING 1
0.3%
REGISTER FOR UNDER 2 YR MISSING 1
0.3%
REGISTER MISPLACED 2
0.6%
REGISTER MISSING 1
0.3%
Re attenance 1
0.3%
Reattendence 1
0.3%
SHERETS ARE MISSINGSOME TALLY 1
0.3%
SOME PATIENTS GO WITHOUT BEEING REGISTERED 1
0.3%
SOME REGISTERS MISSING 3
0.9%
SOME TALLY SHEEET MISSING 1
0.3%
Skipped entries in register 1
0.3%
Staff left out a page 1
0.3%
TALLY SHEET MISPLACED 1
0.3%
TALLY SHEET MISSING 1
0.3%
TALLY SHEETS MISSING 2
0.6%
TALLY SHEETS OF THIS MONTH ARE MISSING 1
0.3%
TALLY SHEETS SUBMITTED DIRECT TO HSD 1
0.3%
TALLYSHEET MISPLACED 1
0.3%
UNDERCOUNTED CASES IN TALLY SHEETS FOR VALUE IN HMIS 105 1
0.3%
WRONG COUNTING 2
0.6%
WRONG NUMBERING 1
0.3%
WRONG NUMBERINGS 1
0.3%
WRONG ADDITION 2
0.6%
WRONG COUNTING 4
1.2%
WRONG NUMBERING 12
3.6%
WRONG NUMBERINGS 2
0.6%
WRONG COUNTING 2
0.6%
WRONG COUNTING, COUNTED ADMISSINS NOT DELIVERIES. 1
0.3%
WRONG NUMBERING 5
1.5%
WRONG NUMBERINGS 1
0.3%
WRONG RECORDING 1
0.3%
WRONG S 1
0.3%
WRONG SERIAL 2
0.6%
WRONG SERIALS 20
6.1%
WRONGFULLY ADDED CASES IN REGISTER FOR VALUE IN HMIS 105 1
0.3%
WRONGLY ADDED CASES IN REGISTER FOR THE VALUE IN THE HMIS 105 2
0.6%
WRONGLY COUNTED CASES FOR VALUE in HMIS 105 1
0.3%
WRONNNNNG NUMBERING 1
0.3%
Wrong codig as 'new' versus 'Re-attendance' 1
0.3%
Wrong counting by staff 2
0.6%
Wrong talling 1
0.3%
Wrongly counted cases in register 3
0.9%
cases in register were wrongly added formvalue in HMIS 105 and database 1
0.3%
cases in the register were not counted and no case was entered in the HMIS 1
0.3%
could be a miscount 4
1.2%
could be miscount 2
0.6%
counted cases in register wrongly for value in HMIS 105 1
0.3%
counted less one casin register e for value in HMIS 105 1
0.3%
counted re attendances too for value in HMIS 105 1
0.3%
counted reattendances cases for value in HMIS 105 1
0.3%
counted reffered cases for value in HMIS 105 1
0.3%
counted refferred cases for value in HMIS 105 1
0.3%
counted the reattendances too for value in HIMIS 105 1
0.3%
counted\considered reattendances for value in HMIS 105 1
0.3%
exaggerated value in HMIS 105 compared to the value inthe register 2
0.6%
exxerggerated cases in register for value in HMIS 105 1
0.3%
exxerggerated tallys on tally sheets for value in HMIS 105 1
0.3%
for the valu in the HMIS 195 , the refferred cases where included 1
0.3%
for value in HMIS 105 includes reattendances 2
0.6%
just one more case was added to value in HMIS 105 due to wrong counting of cases in register 1
0.3%
missing hmis 6
1.8%
no HMIS available even at HSD will visit district 1
0.3%
no entry made in deliveries register for rhis month 1
0.3%
no records kept 2
0.6%
no records keptno 1
0.3%
no tally sheets are available 3
0.9%
no tally sheets available . they where misplaced 1
0.3%
no tally sheets werethey were missing 2
0.6%
o record whatsoever 1
0.3%
one case in register not counted for value in HMIS 105 1
0.3%
poor numbering 5
1.5%
poor tallying 7
2.1%
register for above 5 years is missing 1
0.3%
register missing 1
0.3%
some ally sheets are missing 1
0.3%
some patients go direct to see the doctors without being registered 1
0.3%
some petient not registered though register not found 1
0.3%
some tally sheets are missing 6
1.8%
some tally sheets were missing 1
0.3%
some tally shhets are missing for valuein hmis 105 1
0.3%
tally sheeet misplaced 1
0.3%
tally sheet misplaced 1
0.3%
tally sheet missing 1
0.3%
the montly report for this month was not fully done/HMIS 105 not done fully 3
0.9%
the register for november was lost 1
0.3%
their is a case in the register that was not catered for in the HMIS 105 1
0.3%
under counted cases in register for value in HMIS 105 1
0.3%
under counted cases in register for value in the HMIS 105 1
0.3%
under counted tallys on tally sheets for value in HMIS 105 1
0.3%
undercounted casaes for value in HMIS 105 and databasae 1
0.3%
undercounted cases in register for value in HMIS 105 1
0.3%
value on tally sheets is more than what was counted 1
0.3%
wromgly counted cases in register forvalue in hmis 105 1
0.3%
wrong numbering 1
0.3%
wrong counting 1
0.3%
wrong numbering 3
0.9%
wrong numbering 1
0.3%
wrong serials 4
1.2%
wrongfully counted cases in register for value in HMIS 105 3
0.9%
wrongly added cases in register for value in HMIS and Database 1
0.3%
wrongly counted cases in register for value in HMIS 105 2
0.6%
wrongly counted cases in register for value in HMIS 105 IN FACT VALUE IN HMIS 105 HAS BERGDGERATEEN EXXA 1
0.3%
wrongly counted cases in the register for the value in the HMIS 105 1
0.3%
wrongly counted cases on tally sheets for value in HMIS 105 1
0.3%
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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