National Institute of Statistics of Rwanda
2015-03-26
Nesstar Publisher
v1
User Satisfaction Survey 2012
USS 2012
rwa-nisr-russ-2012-v1
National Institute of Statistics of Rwanda
(c) 2012, National Institute of Statistics of Rwanda
Nesstar Publisher
World Bank
United Nations Development Programme
Department for International Development
European Union
Public Relation and Communication Officer
Statistical Info. & Monitoring Prog. [hh/simpoc]
Edited, anonymous dataset for public distribution.
User Satisfaction Survey
User Satisfaction Survey
Rwanda
National coverage
Sample survey data [ssd]
The themes covered during the user satisfaction survey include: Data utility,Type of data,Data producer,Availability of data,Relevant sources of data,Data accuracy,Frequency of the publication and Dissemination methodology.
National Institute of Statistics of Rwanda
Mail Questionnaire [mail]
The questionnaire was developed in English and then translated into French for French-speaking interviewees.
For data entry and data processing SPSS and Cs-Pro have been used.
A double data entry was adopted and used to detect and fix data entry errors.
For a confidence level of 0.95, a tolerated absolute margin of error of 0.10 and ignoring the correction for finite population, the sample size became n = 96 for each group. The terms of reference stipulates that for large institutions, it is advisable to select more than one respondent hence implying the presence of intra-cluster correlation. To cater for such design effect, the sample size was increased by a coefficient of 1.5. Moreover, since the non-response rate is quite high in these studies, the sample the sample size was increased by an additional 20%.
By accepting the term of conditions of Microdata access,the user agrees to respect the confidentiality while downloading the microdata set.
National Institute of Statistics of Rwanda
National Institute of Statistics of Rwanda.Rwanda User Satisfaction Survey 2012 [dataset]. Version1.Kigali:NISR,2012.
This is Public use files, accessible to all.
russ-2012-v1.NSDstat
The file contains 2012 Rwanda User Satisfaction Survey data set.
428
437
Nesstar 200801
National Institute of Statistics of Rwanda
v1
Questionnaire ID
428
0
ANO001
1
ANO002
1
ANO003
1
ANO004
1
ANO005
1
ANO006
1
ANO007
1
ANO008
1
ANO009
1
ANO010
1
ANO011
1
ANO012
1
ANO013
1
ANO014
1
ANO015
1
ANO016
1
CSO001
1
CSO009
1
CSO011
1
CSO013
1
CSO016
1
CSO017
1
CSO018
1
CSO024
1
CSO025
1
CSO026
1
CSO033
1
CSO034
1
CSO046
1
CSO047
1
CSO048
1
CSO053
1
CSO056
1
CSO061
1
CSO063
1
CSO067
1
CSO074
1
CSO075
1
CSO086
1
CSO148
1
CSO153
1
EDR004
1
EDR005
1
EDR007
1
EDR017
1
EDR018
1
EDR019
1
EDR020
1
EDR022
1
EDR024
1
EDR025
1
EDR027
1
EDR029
1
EDR030
1
EDR033
1
EDR042
1
EDR043
1
EDR047
1
EDR059
1
EDR062
1
EDR066
1
EDR074
1
EDR078
1
EDR086
1
EDR087
1
EDR089
1
EDR091
1
EDR093
1
EDR095
1
EDR097
1
EDR099
1
EDR109
1
EDR110
1
EDR111
1
EDR113
1
EDR116
1
EDR117
1
EDR119
1
EDR120
1
EDR121
1
EDR124
1
EDR125
1
EDR126
1
EDR129
1
EDR130
1
EDR132
1
EDR133
1
EDR137
1
EDR142
1
G0V658
1
GOV010
1
GOV011
1
GOV015
1
GOV017
1
GOV021
1
GOV022
1
GOV025
1
GOV028
1
GOV032
1
GOV035
1
GOV042
1
GOV045
1
GOV057
1
GOV058
1
GOV070
1
GOV079
1
GOV081
1
GOV086
1
GOV087
1
GOV097
1
GOV110
1
GOV111
1
GOV113
1
GOV114
1
GOV116
1
GOV117
1
GOV119
1
GOV121
1
GOV122
1
GOV123
1
GOV126
1
GOV127
1
GOV128
1
GOV129
1
GOV131
1
GOV132
1
GOV134
1
GOV135
1
GOV136
1
GOV140
1
GOV169
1
GOV174
1
GOV175
1
GOV181
1
GOV183
1
GOV184
1
GOV185
1
GOV186
1
GOV187
1
GOV188
1
GOV189
1
GOV195
1
GOV196
1
GOV197
1
GOV200
1
GOV202
1
GOV204
1
GOV205
1
GOV210
1
GOV212
1
GOV213
1
GOV214
1
GOV215
1
GOV216
1
GOV217
1
GOV227
1
GOV231
1
GOV234
1
GOV235
1
GOV237
1
GOV247
1
GOV249
1
GOV250
1
GOV252
1
GOV255
1
GOV263
1
GOV268
1
GOV269
1
GOV273
1
GOV274
1
GOV275
1
GOV277
1
GOV278
1
GOV279
1
GOV282
1
GOV283
1
GOV284
1
GOV287
1
GOV288
1
GOV289
1
GOV290
1
GOV293
1
GOV297
1
GOV298
1
GOV299
1
GOV301
1
GOV303
1
GOV312
1
GOV313
1
GOV314
1
GOV315
1
GOV317
1
GOV319
1
GOV320
1
GOV321
1
GOV322
1
GOV323
1
GOV325
1
GOV328
1
GOV336
1
GOV338
1
GOV341
1
GOV342
1
GOV346
1
GOV349
1
GOV357
1
GOV359
1
GOV362
1
GOV365
1
GOV368
1
GOV369
1
GOV370
1
GOV373
1
GOV374
1
GOV375
1
GOV376
1
GOV377
1
GOV378
1
GOV379
1
GOV381
1
GOV382
1
GOV383
1
GOV385
1
GOV386
1
GOV387
1
GOV389
1
GOV390
1
GOV391
1
GOV392
1
GOV393
1
GOV394
1
GOV395
1
GOV396
1
GOV397
1
GOV398
1
GOV399
1
GOV400
1
GOV401
1
GOV402
1
GOV403
1
GOV404
1
GOV405
1
GOV415
1
GOV416
1
GOV418
1
GOV419
1
GOV420
1
GOV422
1
GOV423
1
GOV424
1
GOV425
1
GOV426
1
GOV429
1
GOV431
1
GOV432
1
GOV433
1
GOV434
1
GOV442
1
GOV444
1
GOV445
1
GOV448
1
GOV450
1
GOV451
1
GOV452
1
GOV453
1
GOV455
1
GOV456
1
GOV458
1
GOV461
1
GOV462
1
GOV463
1
GOV469
1
GOV470
1
GOV471
1
GOV472
1
GOV473
1
GOV481
1
GOV485
1
GOV486
1
GOV488
1
GOV491
1
GOV492
1
GOV494
1
GOV495
1
GOV496
1
GOV497
1
GOV499
1
GOV500
1
GOV501
1
GOV504
1
GOV505
1
GOV506
1
GOV507
1
GOV508
1
GOV509
1
GOV510
1
GOV512
1
GOV513
1
GOV514
1
GOV517
1
GOV518
1
GOV520
1
GOV522
1
GOV523
1
GOV524
1
GOV526
1
GOV529
1
GOV530
1
GOV531
1
GOV533
1
GOV535
1
GOV538
1
GOV539
1
GOV540
1
GOV542
1
GOV544
1
GOV550
1
GOV551
1
GOV553
1
GOV554
1
GOV556
1
GOV557
1
GOV558
1
GOV560
1
GOV563
1
GOV564
1
GOV565
1
GOV567
1
GOV574
1
GOV575
1
GOV584
1
GOV585
1
GOV589
1
GOV612
1
GOV616
1
GOV617
1
GOV618
1
GOV619
1
GOV621
1
GOV622
1
GOV623
1
GOV628
1
GOV630
1
GOV631
1
GOV637
1
GOV640
1
GOV644
1
GOV645
1
GOV652
1
GOV653
1
GOV659
1
GOV660
1
GOV663
1
GOV666
1
GOV667
1
GOV669
1
GOV672
1
GOV675
1
GOV676
1
GOV678
1
GOV680
1
GOV682
1
GOV683
1
GOV685
1
GOV688
1
GOV693
1
GOV695
1
GOV698
1
GOV702
1
GOV706
1
GOV712
1
GOV715
1
GOV716
1
GOV717
1
GOV720
1
IOR001
1
IOR002
1
IOR004
1
IOR005
1
IOR008
1
IOR013
1
IOR015
1
IOR016
1
IOR017
1
IOR018
1
IOR019
1
IOR022
1
IOR023
1
IOR025
1
IOR026
1
IOR029
1
IOR034
1
IOR036
1
IOR038
1
IOR039
1
IOR041
1
IOR042
1
IOR044
1
IOR047
1
IOR052
1
IOR053
1
IOR054
1
IOR055
1
IOR061
1
IOR062
1
IOR067
1
IOR076
1
IOR144
1
IOR489
1
IOR490
1
IOR534
1
MED004
1
MED005
1
MED010
1
MED015
1
MED017
1
MED022
1
MED023
1
MED030
1
MED031
1
PSE001
1
PSE002
1
PSE008
1
PSE012
1
PSE015
1
PSE017
1
PSE018
1
PSE027
1
Central Government (Ministries)
65
363
1
yes
65
2
no
0
Sysmiss
363
Government Agency/Board/Authority/Commission
85
343
1
yes
85
2
no
0
Sysmiss
343
Local Governement
135
293
1
yes
135
2
no
0
Sysmiss
293
Parliament
7
421
1
yes
7
2
no
0
Sysmiss
421
National Bank/other Government Financial Institution
6
422
1
yes
6
2
no
0
Sysmiss
422
Private bank/private financial institution/insurancy company
3
425
1
yes
3
2
no
0
Sysmiss
425
Other commercial company or enterprise
3
425
1
yes
3
2
no
0
Sysmiss
425
Private Sector Federation, trade association/Professional associations
4
424
1
yes
4
2
no
0
Sysmiss
424
Press and other media
7
421
1
yes
7
2
no
0
Sysmiss
421
Civil Society
5
423
1
yes
5
2
no
0
Sysmiss
423
Reaserch institution
5
423
1
yes
5
2
no
0
Sysmiss
423
Higher Learning Institution
40
388
1
yes
40
2
no
0
Sysmiss
388
International Organizattion
29
399
1
yes
29
2
no
0
Sysmiss
399
National and International NGOs
20
408
1
yes
20
2
no
0
Sysmiss
408
Private individuals
1
427
1
yes
1
2
no
0
Sysmiss
427
Other
14
414
1
yes
14
2
no
0
Sysmiss
414
Other (specify)
15
0
Bilateral donor
1
Council
1
Development partner Embassy
1
Head of a parastatal
1
Higher education council
1
Hospital
1
Judiciary
4
Judiciary (commercial court)
1
Judiciary (high court)
1
Office of the ombudsman
1
Private research firm
1
UN Agency
1
If you are from Government, please select the category that best describes your position
303
125
1
Prime Minister, Minister
4
2
Governor/Vice Governor
7
3
Permanent Secretary
11
4
Director General or Deputy Director General or CEO
28
5
Executive Secretary
25
6
Member of Parliament/Commissioner/jurdge
4
7
Agency Head/Mayor/Vice Mayor
55
8
Head of Department/Division
47
9
Expert in a ministry/public institution
27
10
Advisor
19
11
other(Specify)
76
Sysmiss
125
Others(specify)
63
0
Accountant
1
Acting director, Monetary policy and Research
1
Agriculture Policy analyst
1
Analyst in PMO (Health)
1
Chair or vice chairperson
1
Chairperson of commission
1
Coordinator
1
Corporate planning officer
1
Data analyst
1
Deputy auditor general
1
Deputy ombudsman
1
Director of planning
1
Director of planning,monitoring and evaluation
2
District personnel
1
District professional
1
District statistician
4
Economic policy analyst
1
Insector general of courts
1
Migration officer
1
Monitiring and Evaluation officer
1
Officer
2
Planning
1
Planning aand Research officer
1
Planning officer
3
Planning officer and Research analysis
1
Planning, Monitoring and Evaluation officer
1
Planning,Monitoring and Evaluation officer
3
Planning,monitoring and evaluation
1
Policy analyst
1
Professional
3
Professional in charge on planning,Monitoring and Evaluation
1
Research and statistics
1
Researcher
1
Senior statistician
1
Social policy analyst
1
Specialist
1
Speech writer /equivalent to DG
1
Statistic level
1
Statistician
8
Statistician officer
1
Statistics officer
2
Vice president
1
Vice president (high court)
1
in charge
1
If you are from the Private Sector and Media, please select the category that best describes your position?
19
409
1
Chief Executive Officer/Director General/Managing Director
2
2
Agency Head
1
3
Director
0
4
Head of Department/Division/Unit
6
5
Expert/Journalist
8
6
Advisor
0
7
Other (please specify)
2
Sysmiss
409
Others (specify)
2
0
Commercial analyst
1
Unit manager
1
If you are from Civil Society or International Organizations, please select the category that best describes your positi
52
376
1
Ambassador/Country representative/National coordinator/Execu
11
2
Advisors
3
3
Head of departments/Divisions/Directorate
10
4
Experts
10
5
Other (please specify)
18
Sysmiss
376
Others(specify)
11
0
Associate manager
1
M&E Specialist
1
Program assostant PME
1
Program coordinator
1
Program manager
2
Program officer
1
Programme officer
1
Research/Monitoring and Evaluation
1
Researcher
1
Technician
1
If you are from Education or Reasearch Sector, pleae select the category that best describes your position
45
383
1
Chancellor, Vice Chancellor, Rector, Director General
2
2
Principla/Director/Dean
1
3
Head of Department
4
4
Professor/Researcher/Lecturer
8
5
Other
30
Sysmiss
383
Other(Specify)
26
0
Analyst
1
Data manager
1
Officer
1
Post graduate in Pediatrics
1
Statistician
2
Student
19
student
1
The national Institute of Statistics of Rwanda
387
41
1
Yes
376
2
Non
11
Sysmiss
41
The National Bank of Rwanda
224
204
1
Yes
213
2
Non
11
Sysmiss
204
The Ministries
300
128
1
Yes
289
2
Non
11
Sysmiss
128
The Rwanda Revenue Authority
158
270
1
Yes
147
2
Non
11
Sysmiss
270
Other Government entities
248
180
1
Yes
237
2
Non
11
Sysmiss
180
International Organizations
205
223
1
Yes
194
2
Non
11
Sysmiss
223
Sepecify the INGO
97
0
AFROSAI, INTOSAI
1
AFROSAIE, INTOSAI
1
EAC
1
EIU of the economies
1
EO IMF
1
EU,WN
1
FAO
4
FAO,IMF
1
ICA,WOCCU,FINISCOPE
1
ICPA
1
IFPRI,AGRA,etc
1
IMF
3
IMF and WB
1
IMF,UN
1
IMF,WB
5
IMF,WB,UN,etc
1
ITC,WB
1
International Alert, UNFPA
1
OMS,WB
1
ONU
1
ONU,FAO,COMIFAC
1
Transparency International
1
Transparency international, RNP
1
UN
6
UN Agencies
5
UN Agencies and Bilateral organizations
1
UN agencies
1
UN, WB, IMF
1
UN,AFDB,WB,IMF,etc
1
UN,IMF,WB
1
UN,WB
2
UN,WB,IMF
1
UN,WB,etc
1
UN-HABITAT,WB
1
UNDP
2
UNDP,UN
1
UNDP,WB
1
UNESCO
2
UNESCO, ILO
1
UNFPA,WB
1
UNHCR
2
UNICEF
4
UNICEF, WHO
1
UNIDO,WB,WTA,TMEA
1
USAIDS,WHO,UNICEF
1
United Nations
1
WB
9
WB,ADB,IMF
1
WB,FMI,DFID,WHO,etc
1
WB,ILO,MOSBROHIM
1
WB,IMF
2
WB,IMF,UN Agencies
1
WB,IMF,WEF
1
WB,IPU
1
WB,UN,ITU,etc
1
WB,afDB
1
WFP,FAO
1
WHO
1
WHO,UN Agencies
1
WHO,WB
1
WR/UN
1
World Eco Forum
1
wb
1
National accounts(GDP)
208
220
1
Yes
208
2
Non
0
Sysmiss
220
Price statistics
113
315
1
Yes
113
2
Non
0
Sysmiss
315
Public finance statistics
124
304
1
Yes
124
2
Non
0
Sysmiss
304
Monetary and financial statistics
114
314
1
Yes
114
2
Non
0
Sysmiss
314
Balance of payments
81
347
1
Yes
81
2
Non
0
Sysmiss
347
Business statistics
160
268
1
Yes
160
2
Non
0
Sysmiss
268
Employment statistics
193
235
1
Yes
193
2
Non
0
Sysmiss
235
External trade statistics
99
329
1
Yes
99
2
Non
0
Sysmiss
329
Income and poverty statistics
233
195
1
Yes
233
2
Non
0
Sysmiss
195
Demographic statistics
280
148
1
Yes
280
2
Non
0
Sysmiss
148
Social sector statistics
258
170
1
Yes
258
2
Non
0
Sysmiss
170
Environment statistics
151
277
1
Yes
151
2
Non
0
Sysmiss
277
Agriculture and fishery statistics
176
252
1
Yes
176
2
Non
0
Sysmiss
252
Regional statistics
125
303
1
Yes
125
2
Non
0
Sysmiss
303
Other use
30
398
1
Yes
30
2
Non
0
Sysmiss
398
Please specify
29
0
Access to financial services (Finscope)
1
Administrative
3
Administrative statistics
2
Cooperative statistics
1
Corruption
1
Court statistics
1
Courts statistics
1
EICV 3
1
Forestry/Agroforstry
1
Gender statistics
3
Gender statistics, DHS (Health information)
1
HR Capacity building
1
Human development
1
International statistics
1
Mining sector,world economic outlook,...
1
NGOs
1
Number of public servants
1
Rwanda Governance score card (RGB)
1
Statistics in line with the media development
1
Statistics related to justice and law
1
Street people (vendors and beggers)
1
Tourism
1
UN agencies
1
administrative statistics
1
Official press releases or website of the Natoonal Institute of Rewanda
295
133
1
Yes
295
2
Non
0
Sysmiss
133
Publications of the National Institute of Statistics of Rwanda
318
110
1
Yes
318
2
Non
0
Sysmiss
110
Official press releases or Website of National Bank of Rwanda
152
276
1
Yes
152
2
Non
0
Sysmiss
276
Publications of the National Bank of Rwanda
169
259
1
Yes
168
2
Non
1
Sysmiss
259
Official press releases or website of other public agency
141
287
1
Yes
141
2
Non
0
Sysmiss
287
Speccify the agency
53
0
BNR NSR
1
District
1
District (DDP,etc)
1
District service
1
District source
1
GMO
1
Gender ministry
1
MIFOTRA
2
MINAGRI
1
MINAGRI, REMA, MINISANTE, MINEDUC, MINALOC, ETC
1
MINAGRI,NAEB,RDB
1
MINALOC,MINAGRI
2
MINECOFIN
6
MINEDUC
3
MINEDUC,REB,RHA
1
MINISANTE,RBC,CDC,WHO
1
MINISTRIES
1
Ministries
6
Ministry of Finance
1
MoH
2
MoH,LODA,REMA,RAB,MINAGRI
1
MoH,MoED
1
PSF and RDB
1
Primature,Ministries,Researches,Conducted by Parliament
1
RBC
1
RBC,MoH
1
REMA,RPPA,District,Provinces
1
RGB
1
RNRN,RAB,RTDA,RNP
1
RRA
2
RRA,RNP
1
RSSB
1
RURA,RBC
1
RURA,WDA
1
Trademap.org
1
UN Agencies
1
UNICEF
1
On request from the....
95
333
1
Yes
95
2
Non
0
Sysmiss
333
Specify institution
60
0
District activities
1
IMF,WB
1
IPRC,MINEDUC,MINAGRI,MINISANTE,etc
1
Insurance companies
1
LCF Macro for DHS data
1
Land center,MINICOM,PSF
1
Line ministries
2
MIFOTRA
1
MIFOTRA,MINALOC,MIGEPROF,NEC
1
MINAGRI
2
MINAGRI,RAB,MINIRENA
1
MINALOC,MINEDUC,MINECOFIN
1
MINECOFIN
3
MINEDUC,MINISANTE,LODA,MINAGRI
1
MINEDUC,MINISANTE,MIGEPROF
1
MINEDUC,MoH,MIFOTRA
1
MINICOM,RRA
1
MININTER, MINIJUST
1
MINISANTE MINEDUC GMO
1
MINISTRY
1
Ministries
3
Ministries and other institutions
1
Ministries,Ombudsman,GMO
1
Ministry of Health
1
Ministry of finance
1
MoH
1
NAEB
1
NCC
1
NIDA
1
NIDA,NEC
1
NISR
1
National Police of Rwanda
1
Own produced statistics
1
Partner institutions involved in different sectors
1
Presentation at National level
1
Privinces, Districts
1
Public institutions concerned
1
Publications from private partners
1
RBC
1
RBC,MoH
1
RCS
1
RGB
1
RNP, Transparency International
1
RNP,MINISANTE,MINEDUC,MINIJUST
1
RNRA
1
RRA
2
RRA,BNR
1
RRA,MINECOFIN
1
RRA,RDB,RCA,etc
1
RSSB,NBR,MINECOFIN
1
Raw trade data (export and import), Price data
1
UNDP Website
1
WB
1
Private sector summaries and analyses
38
390
1
Yes
38
2
Non
0
Sysmiss
390
Publications or websites of IO
175
253
1
Yes
175
2
Non
0
Sysmiss
253
Other sources
32
396
1
Yes
31
2
Non
1
Sysmiss
396
Please specify
25
0
Administrative axample:Education statistics
1
Administrative sources
1
COMIFAC,ICRAF,CIFOR
1
Courts reports
1
DHS Website
1
EAC
1
Evidence based planning purposes
1
FAO
1
Google search
1
Governement ministries
1
IFPRI
1
Internet
1
Micro data NISR website
1
NURC,CNDP
1
Own surveys (eg:market expectations)
1
Previous records of our institution
1
Reports of government agencies
1
Researchers and Media
1
The relevant agencies
1
UN agencies
1
UN-H,WB
1
UNDP
1
Validation of beneficiaires
1
WHO, UNICEF
1
WORLD ALMANAC and FACT 2014
1
Do you refer to or make use of the official descriptions of the sources and methods to compille official statistics?
292
136
1
Yes
205
2
Non
87
Sysmiss
136
Please explain
136
0
Administrative record
1
Always communicate source of information and data to proof evidence
1
Any data reported we have to indicate sources
1
Any data reported,we have to indicate sources
1
Are used in planning (Economic,social,political) and in decisiom making
1
As wekk as I'm current master student this one help me to work my class works
1
Because I'm not expert in statistics
1
Because are sincere
1
Because of urgent things
1
Because some sources are inappropriate due to people who lie because of fear of giving information
1
Because they are more reliable
1
Before we conduct any big survey, we request VISA from NISR
1
Budgeting and official reports
1
But I know them such as data adjustement
1
By checking the methodologies used and the metadata available
1
By knowing the behaviors and the future of differents tax types
1
By the time we have preparing perfomance contracts and DDP
1
Data presentation and well referenced accordingly
1
Demographic statistics are used for planning, there is no need for referencing
1
During planning exercise we refer to some of data from different institutions for accuracy purposes
1
Especially for primary data
1
Especially methods used to measure poverty
1
Especially while doing annual action plans and budgets
1
For a better project of the social factors and budgetization
1
For any publication on trade data from NISR, I always refer to the data of trade given by BNR
1
For example on demographics and population projections
1
For reference to the original source of data
1
For the authenticity of the statistics it is ethical to show the sources of informatio
1
Giving information to universal postal (UPU)
1
I am not interested in official statistics
2
I am obliged to understand all kind of data processing that I use, for better interpretations
1
I assume that they are produced by experts
1
I do make use of source only as per requirement
1
I do not compile them, I rely use what I got
1
I do not know the official methods to compile official statistics
1
I don't have more informatio about it
1
I have been using data from the forth general census results and EICV3 for education
1
I have to mention the sources of the used statistics and the date they have been published
1
I often refer and make use of the demographic health surveys DHS 2005-2010
1
I quote the source every time I use the corresponding statistics
1
I quote the source of information
1
I trust in sources and methodologies for official statistics
1
I use statistics already compiled by other institutions (NISR,...)
1
I use statistics for general knowlegde and information
1
I use them in the document or notes i write
1
I would always want to know about that kind of information before using the data
1
I'm still undergraduate
1
If it is data that im going to use in my assessment
1
If we use data from other organisation we show it in reference
1
In National report writing
1
In case I refer to any data from NISR or MoH, we mention the source for relevant information
1
In case the province need some statistics
1
In compiling National reports and when analysing different policy documents
1
In different reports or abstracts, reference is made to official statistics
1
In general we use statistics from NISR or we move compilation of statistics from cell for specific d
1
In my daily activities, I am obliged to use official statistics
1
In order to be online with other (to ensure stand and statistics)
1
In our planning activities we refer to national statistics (demographics,poverty,social sectors)
1
In the reference section I mention the source of data
1
Indicating sources of data is critical
1
Just to be sure of the accuracy
1
Make use of it
1
Metadata
1
Methodology is accurate
1
Methods are not the same in disaster management
1
1
National policy (Vision2020,EDPRS,DDP,etc), consultation with different partners
1
No but sometimes
1
No need, no much time to go through
1
Not method but we refer to the sources
1
Not needed
1
Official descriptions and methods of computation are used to provide explanations to District staff
1
Only when so required
1
Our district has in charge of statistics with the appropriate tamplate he compile and submit officia
1
Our strategic planning always refers to the subject descriptions
1
Part of data used in my thesis (GDP)
1
Population upgrading and in the planning process (setting district priority
1
Quotes/indicates sources
1
Quoting the source of data
1
Some type of information can have different figures due to different methodologies
1
Sources are good
1
Sources are more experienced and have developped methodology
1
Sources are very experienced and have developped methodology
1
Sources are well
1
The metadata is important for understanding the gotten data
1
The most important is to understand their source context and methods
1
The said method is not relevant in our case we only use statistics
1
The source of informations referenced
1
The source preference is always important for credibility of information or data
1
There offical information is always available
1
This is my profession
1
This is the acknowledge the authors and publishers
1
To be more precise and make evidence
1
To indicate the source and the analysis
1
To insure integrity and comparability
1
To make sure you are using the right information you need to know and understand description
1
To prpare budget support dossiers and programming documents
1
To show reliable sources of official statistics
1
To show that the statistics we use are official
1
To show that they are from reliable sources
1
To understand the methodology used to compile and calculate composite index
1
Ubudehe and CBH
1
Use in reference as sources of information and tools,methods
1
Use metadata handbook
1
Use of templates and formatting
1
Use them by comparing with what we have seen during oversight
1
Used in planning and decision making
1
Using data in different studies we produce
1
We always give references of data sources in our technical propasal
1
We always mention source of statistics information we produce for better decision making
1
We always need to indicate references
1
We consider national context analysis and we use data acordingly
1
We normally use them in perfomance and ragularity audit, We spacify our sources of dat
1
We provide appropriate references to official statistics
1
We provide the instructions given to compile accordingly example for referances
1
We quote references
1
We refer to the official descriptions of the sources to compile official data in research
1
We refer to the official statistics some time when it is needed
1
We release the template to fulfill by local authorities
1
We use official descriptions for UNFPA reporting purposes
1
We use own methods
1
We use statistics to develop business plan for our entity currently under reform process
1
When I use any statistic, I mentionne the source of statistics ysed in analysis
1
When I'm doing stories related to the statistics
1
When documenting the source of information
1
When plan/monitor and evaluate on DDP annual action plan or performance contract
1
When statistical are used we show the sources to prove credibility and quality of data used
1
When statistics is used in reports, source is indicated
1
When we use sources of data
1
Whenever the official statistics are used the source in indicated
1
While compiling reports
1
With my capacity in Reseaech I don't need them
1
Yes I make use of the official description of the sources to compile official statistics in planning
1
Yes in reports for head quaters
1
when sensitizing, mobilizing and compiling the data of health insurance
1
Analysis of current developments for short-term decision making
264
164
1
Yes
264
2
Non
0
Sysmiss
164
Analysis of the trends for longer-term policy formulation
207
221
1
Yes
207
2
Non
0
Sysmiss
221
Econometric model building and forecasting
57
371
1
Yes
57
2
Non
0
Sysmiss
371
Research purposes
167
261
1
Yes
167
2
Non
0
Sysmiss
261
General economic information
210
218
1
Yes
210
2
Non
0
Sysmiss
218
Other purpose
68
360
1
Yes
68
2
Non
0
Sysmiss
360
please specify
64
0
Advocacy purposes
1
Analysis and give advise to government
1
As a development agency we should use data to better design and monitor our programmes
1
Audit
1
Compilation of statistics
1
Compile statistics from my district
1
Decision making
2
Defining our target and the ways to acheuve it
1
District Planning
1
District development planning, urban planning
1
Elaboration of DDP and planning
1
Evaluation of goverment actions (imihigo)
1
Evidence-based programmatic decision making
1
Food security related analysis
1
For evidence of improvement
1
For my job
1
For planning
2
General knowledge
1
General social information, demographic, environmental
1
Health sector planning
1
Health status of the population especially for RH indicators
1
I use it in the class for understanding or knowing some information
1
I use them in the class to know some information
1
IMIHIGO
3
In plannification
1
Inform the public
1
Information about demography
1
Information du gouvernement pour les besoins de controle de l'atelier gouvernementale
1
Just to reflect them in compiled notes
1
News/Radio
1
Official reports and statements
1
PLANNING
1
Performance and regularity audits
1
Planification/strategies to prevent and fight against corruption
1
Planning
4
Planning budgeting
1
Planning decisions
1
Planning in general
1
Planning making
1
Planning purposes
2
Planning,purposes,reports,new articles on energy
1
Preparing key messages
1
Prepering the project design
1
Programme planning and situation analysis
1
Proposals
1
Reporting
1
Teaching
2
The assistance provided by our institution based on number of beneficiaires validated
1
To educate the public on the status especially during mobilization and companies
1
To inform public using media
1
To look law statistics work, methods, etc
1
To produce project for funds
1
When preparing brief/presentation for supervisors
1
While developing "Project proposal"
1
planning for diatricts and sectors entities
1
Do the available official statistics meet your priority data needs?
394
34
1
Not at all
8
2
Slightly well
29
3
moderately well
120
4
Well
178
5
Very well
52
6
No opinion
7
Sysmiss
34
If not, please indicate what data is not available to meet your priority needs.
69
0
Access energy for schools,health centers,diairies or agro processing factions
1
Administrative data at District and sector level in different domains
1
Administrative data at local level
1
Annual public expenditure review
1
Because I do not use them as frequently as I should
1
But it should be good if data are produced from cell level
1
Dairy income, dairy gross margin per cow Dairy exports
1
Data at all level and villages levels
1
Data at cell level, Agriculturalist data
1
Data at district level not available
1
Data at sector and cell level not available
1
Data for sport and culture activities
1
Data for urban and rural settlement at the lowest administration entity
1
Data is available but sometimes not sufficiently disaggregated
1
Data is not disaggregated to the required level
1
Data of social sector at local level
1
Data of villages and cells
1
Data on economic, understands of Rwandan operating outside of Rwanda
1
Data on justice reconciliation law and other sectors are not available
1
Data on street people/activities
1
Data set access is not assured
1
1
Disaggregated data for cell and village
1
Disagreggated data
1
Disagreggated data on disability
1
Employement statistics and unemployment
1
Employment data are not easily available
1
Employment,Informal sectors activities,agriculture productions,genocide victims and survivors
1
Food import and export data, This data will help me in proposing a policy action
1
Frequent data on business activity. for example most recent enterprise survey is from 2011
1
Geodata
1
HR capacity building, data for competing homework definition
1
Index for place adjustement
1
It is not easy to get current and reliable official date example on quarterly basis
1
Lack of baseline in several sectors is a big challend
1
Lack of data decentralized from central to local (cell,sector)
1
Lack of employment, Lack of skills /capacity needs statistics
1
Long term macroeconomic forecasting, Market risk quantification and forecast
1
More data on SRH indicators for specific population , Data on sub national level
1
More frequent and detailed on income poverty would be helpful
1
Mostly gender data
1
Natural capital accounts statistics (land, wateras a ressource,forest,minerals,ecosyste
1
No details on consumption products especially in FMCG sectors
1
No statistics related to law and justice
1
Number of households at risk disasters, Number of vulnerable ackwinees by sectors
1
Population data at cell level
1
Provided data are not deaggregated by administrative sectors and not produced annually
1
Slightly well because there are some necessary stat. which are not available for us
1
Socio economic impact at agriculture expenditure, budget execution reports
1
Some data are not gender disagreggated axample agriculture
1
Some informations are not collected by NISR and the VISA can not be granted
1
Spatial
1
Specific and detailed data from the district and self sufficient information
1
Statistics about violence not rubust enough
1
Statistics on employment
1
The data are not disagreggated in terms of gender
1
The data of survey in 2012
1
The data should be easy to use and find
1
The produced data especially demographic data do not reflrct all administrative entities
1
The publications comes later (Delaying)
1
There are still small data from different sectors that are unavailable
1
Trade data are not at the frequence that meet my request I need monthly data
1
Trade data statistics
1
Updated demographic datas
1
We need data file from village level (umudugudu)
1
We need decentralise data at least at the cell level
1
We need to decentralise data at least at the cell level
1
Youth unemployment,youth enterpreunership data , youth social condition
1
specific data for specific district and specific area/domain/cluster
1
To what extent do official statistics allow you to carry out the purpose mentioned under 4.1?
415
13
1
Not at all
2
2
Slightly well
19
3
moderately
96
4
Well
206
5
Very well
55
6
No opinion
37
Sysmiss
13
National accounts (GDP)
328
100
1
neither sound nor appropriate
7
2
Slightly sound and appropriate
21
3
Moderatly sound an appropriate
58
4
Sound and appropriate
115
5
highly sound and appropriate
68
6
no opinion
59
Sysmiss
100
Prices
305
123
1
neither sound nor appropriate
6
2
Slightly sound and appropriate
27
3
Moderatly sound an appropriate
58
4
Sound and appropriate
98
5
highly sound and appropriate
49
6
no opinion
67
Sysmiss
123
Public finance statistics
299
129
1
neither sound nor appropriate
4
2
Slightly sound and appropriate
24
3
moderately sound and appropriate
57
4
sound and appropriate
94
5
highly sound and appropriate
59
6
no opinion
61
Sysmiss
129
Monetary and financial statistics
296
132
1
neither sound nor appropriate
4
2
Slightly sound and appropriate
24
3
moderately sound and appropriate
46
4
sound and appropriate
81
5
highly sound and appropriate
67
6
no opinion
74
Sysmiss
132
Balance of payments
284
144
1
neither sound nor appropriate
7
2
Slightly sound and appropriate
20
3
moderately sound and appropriate
57
4
sound and appropriate
80
5
highly sound and appropriate
41
6
no opinion
79
Sysmiss
144
Business statistics
301
127
1
neither sound nor appropriate
2
2
Slightly sound and appropriate
29
3
moderately sound and appropriate
83
4
sound and appropriate
94
5
highly sound and appropriate
35
6
no opinion
58
Sysmiss
127
Employment statistics
320
108
1
neither sound nor appropriate
12
2
slightly sound and appropriate
44
3
moderately sound and appropriate
85
4
sound and appropriate
93
5
highly sound and appropriate
43
6
no opinion
43
Sysmiss
108
External trade statistics
292
136
1
neither sound nor appropriate
9
2
slightly sound and appropriate
34
3
moderately sound and appropriate
45
4
sound and appropriate
87
5
highly sound and appropriate
47
6
no opinion
70
Sysmiss
136
Income/poverty statistics
332
96
1
neither sound nor appropriate
13
2
slightly sound and appropriate
21
3
moderately sound and appropriate
68
4
sound and appropriate
131
5
highly sound and appropriate
63
6
no opinion
36
Sysmiss
96
Demographic statistics
373
55
1
neither sound nor appropriate
7
2
slightly sound and appropriate
13
3
moderately sound and appropriate
49
4
sound and appropriate
149
5
highly sound and appropriate
125
6
no opinion
30
Sysmiss
55
Social sectors (health, educ.)
351
77
1
neither sound nor appropriate
7
2
slightly sound and appropriate
12
3
moderately sound and appropriate
60
4
sound and appropriate
147
5
highly sound and appropriate
91
6
no opinion
34
Sysmiss
77
Environment statistics
312
116
1
neither sound nor appropriate
12
2
slightly sound and appropriate
34
3
moderately sound and appropriate
67
4
sound and appropriate
92
5
highly sound and appropriate
47
6
no opinion
60
Sysmiss
116
Agriculture/fishery stats
314
114
1
neither sound nor appropriate
8
2
slightly sound and appropriate
31
3
moderately sound and appropriate
61
4
sound and appropriate
106
5
Highly sound and appropriate
58
6
no opinion
50
Sysmiss
114
Regional statistics
293
135
1
neither sound nor appropriate
16
2
slightly sound and appropriate
36
3
moderately sound and appropriate
55
4
sound and appropriate
75
5
highly sound and appropriate
32
6
no opinion
79
Sysmiss
135
Other (Please specify)
24
0
Administrative 4
1
Administrative 5
2
Administrative statistics 5
3
Cooperative statistics
1
Courts statistics 5
1
Forestry/Agroforestry 3
1
Gender statistics 4
2
Human development 4
1
International statistics 4
1
Justice and good governance 5
1
Methodology statistics
1
Mining statistics 3
1
Number of public servants 3
1
Planning 5
1
Skills available statistics
1
Strategies and planning 4
1
Tourism
1
UN agencies
1
Women in decision making positions 4
1
security 4
1
National accounts (GDP)
325
103
1
not sufficient
6
2
Slightly sufficient
21
3
moderately sufficient
59
4
sufficient
118
5
highly sufficient
53
6
no opinion
68
Sysmiss
103
Prices
302
126
1
not sufficient
7
2
Slightly sufficient
21
3
moderately sufficient
63
4
sufficient
108
5
highly sufficient
30
6
no opinion
73
Sysmiss
126
Public finance statistics
294
134
1
not sufficient
2
2
Slightly sufficient
10
3
moderately sufficient
63
4
sufficient
109
5
highly sufficient
35
6
no opinion
75
Sysmiss
134
Monetary and financial statistics
290
138
1
not sufficient
1
2
Slightly sufficient
14
3
moderately sufficient
46
4
sufficient
95
5
highly sufficient
48
6
no opinion
86
Sysmiss
138
Balance of payments
286
142
1
not sufficient
2
2
Slightly sufficient
16
3
moderately sufficient
56
4
sufficient
88
5
highly sufficient
34
6
no opinion
90
Sysmiss
142
Business statistics
293
135
1
not sufficient
3
2
Slightly sufficient
25
3
moderately sufficient
74
4
sufficient
94
5
highly sufficient
30
6
no opinion
67
Sysmiss
135
Employment statistics
320
108
1
not sufficient
13
2
Slightly sufficient
39
3
moderately sufficient
93
4
sufficient
104
5
highly sufficient
22
6
no opinion
49
Sysmiss
108
External trade statistics
287
141
1
not sufficient
7
2
Slightly sufficient
28
3
moderately sufficient
61
4
sufficient
85
5
highly sufficient
30
6
no opinion
76
Sysmiss
141
Income/poverty statistics
333
95
1
not sufficient
14
2
Slightly sufficient
36
3
moderately sufficient
89
4
sufficient
116
5
highly sufficient
35
6
no opinion
43
Sysmiss
95
Demographic statistics
368
60
1
not sufficient
4
2
Slightly sufficient
17
3
moderately sufficient
50
4
sufficient
165
5
highly sufficient
98
6
no opinion
34
Sysmiss
60
Social sectors (health, educ.)
350
78
1
not sufficient
7
2
Slightly sufficient
20
3
moderately sufficient
69
4
sufficient
144
5
highly sufficient
69
6
no opinion
41
Sysmiss
78
Environment statistics
310
118
1
not sufficient
10
2
Slightly sufficient
28
3
moderately sufficient
75
4
sufficient
98
5
highly sufficient
32
6
no opinion
67
Sysmiss
118
Agriculture/fishery stats
306
122
1
not sufficient
6
2
Slightly sufficient
30
3
moderately sufficient
69
4
sufficient
111
5
highly sufficient
32
6
no opinion
58
Sysmiss
122
Regional statistics
292
136
1
not sufficient
9
2
Slightly sufficient
32
3
moderately sufficient
55
4
sufficient
79
5
highly sufficient
29
6
no opinion
88
Sysmiss
136
Other (Please specify)
19
0
Administrative 5
2
Administrative statistics 5
3
Courts statistics 4
1
Forestry/Agroforestry 2
1
Gender statistics 3
1
Gender statistics 4
2
Human devlopment 4
1
Interantiona statistics 4
1
Mining statistics 2
1
Perceptions on corruption, data on corruption (cases)
1
Public servants statistics 6
1
Security 4
1
Skills available statistics 1
1
The public reports dramatize
1
UN agencies
1
National accounts (GDP)
325
103
1
not satisfied
12
2
Slightly satisfied
26
3
moderately satisfied
70
4
satisfied
107
5
highly satisfied
57
6
no opinion
53
Sysmiss
103
Prices
304
124
1
not satisfied
7
2
Slightly satisfied
37
3
moderately satisfied
60
4
satisfied
98
5
highly satisfied
38
6
no opinion
64
Sysmiss
124
Public finance statistics
295
133
1
not satisfied
10
2
Slightly satisfied
28
3
moderately satisfied
75
4
satisfied
93
5
highly satisfied
30
6
no opinion
59
Sysmiss
133
Monetary and financial statistics
292
136
1
not satisfied
8
2
Slightly satisfied
34
3
moderately satisfied
54
4
satisfied
89
5
highly satisfied
43
6
no opinion
64
Sysmiss
136
Balance of payments
287
141
1
not satisfied
7
2
Slightly satisfied
31
3
moderately satisfied
62
4
satisfied
74
5
highly satisfied
28
6
no opinion
85
Sysmiss
141
Business statistics
297
131
1
not satisfied
12
2
Slightly satisfied
40
3
moderately satisfied
91
4
satisfied
80
5
highly satisfied
21
6
no opinion
53
Sysmiss
131
Employment statistics
316
112
1
not satisfied
26
2
Slightly satisfied
55
3
moderately satisfied
104
4
satisfied
65
5
highly satisfied
25
6
no opinion
41
Sysmiss
112
External trade statistics
296
132
1
not satisfied
13
2
Slightly satisfied
43
3
moderately satisfied
72
4
satisfied
74
5
highly satisfied
24
6
no opinion
70
Sysmiss
132
Income/poverty statistics
331
97
1
not satisfied
14
2
Slightly satisfied
44
3
moderately satisfied
99
4
satisfied
114
5
highly satisfied
30
6
no opinion
30
Sysmiss
97
Demographic statistics
367
61
1
not satisfied
15
2
Slightly satisfied
37
3
moderately satisfied
85
4
satisfied
145
5
highly satisfied
61
6
no opinion
24
Sysmiss
61
Social sectors (health, educ.)
347
81
1
not satisfied
13
2
Slightly satisfied
30
3
moderately satisfied
91
4
satisfied
129
5
highly satisfied
54
6
no opinion
30
Sysmiss
81
Environment statistics
308
120
1
not satisfied
12
2
Slightly satisfied
33
3
moderately satisfied
97
4
satisfied
77
5
highly satisfied
27
6
no opinion
62
Sysmiss
120
Agriculture/fishery stats
311
117
1
not satisfied
16
2
Slightly satisfied
31
3
moderately satisfied
84
4
satisfied
98
5
highly satisfied
34
6
no opinion
48
Sysmiss
117
Regional statistics
287
141
1
not satisfied
10
2
Slightly satisfied
28
3
moderately satisfied
71
4
satisfied
70
5
highly satisfied
21
6
no opinion
87
Sysmiss
141
Other (Please specify)
16
0
Administrative 4
2
Administrative statistics 3
2
Courts statistics 5
1
Forestry/Agroforestry 3
1
Gender statistics 3
1
Gender statistics 4
1
Human development 4
1
International statistics 5
1
Mining statistics 2
1
Public servants statistics 1
1
Security 3
1
Skills available
1
Tourism
1
UN agencies
1
National accounts (GDP)
350
78
1
yes
113
2
no
96
3
Do not know
141
Sysmiss
78
Prices
328
100
1
yes
84
2
no
109
3
no not know
135
Sysmiss
100
Public finance statistics
329
99
1
yes
71
2
no
119
3
do not know
139
Sysmiss
99
Monetary and financial statistics
326
102
1
yes
83
2
no
108
3
do not know
135
Sysmiss
102
Balance of payments
321
107
1
yes
65
2
no
112
3
do not know
144
Sysmiss
107
Business statistics
326
102
1
yes
54
2
no
137
3
do not know
135
Sysmiss
102
Employment statistics
331
97
1
yes
74
2
no
129
3
do not know
128
Sysmiss
97
External trade statistics
324
104
1
yes
69
2
no
122
3
do not know
133
Sysmiss
104
Income/poverty statistics
345
83
1
yes
103
2
no
119
3
do not know
123
Sysmiss
83
Demographic statistics
373
55
1
yes
152
2
no
106
3
do not know
115
Sysmiss
55
Social sectors (health, educ.)
365
63
1
yes
123
2
no
116
3
do not know
126
Sysmiss
63
Environment statistics
335
93
1
yes
64
2
no
125
3
don't know
146
Sysmiss
93
Agriculture/fishery stats
335
93
1
yes
78
2
no
126
3
do not know
131
Sysmiss
93
Regional statistics
326
102
1
yes
41
2
no
128
3
do not know
157
Sysmiss
102
Other (Please specify)
13
0
Administrative 2
2
Annual basis (corruption data on perception)
1
Courts statistics 1
1
Gender statistics 2
2
Human development 2
1
International statistics 3
1
Mining statistics 2
1
Public servants statistics 2
1
Skills statistics
1
Tourism 1
1
security 2
1
National accounts (GDP)
343
85
1
Yes
84
2
No
42
3
Do not know
153
4
Not applicable
64
Sysmiss
85
prices
328
100
1
Yes
73
2
No
40
3
Do not know
155
4
Not applicable
60
Sysmiss
100
Public finance statistics
324
104
1
Yes
58
2
No
45
3
Do not know
158
4
Not applicable
63
Sysmiss
104
Monetary and financial statistics
324
104
1
Yes
55
2
No
40
3
Do not know
168
4
Not applicable
61
Sysmiss
104
Balance of payments
316
112
1
Yes
42
2
No
42
3
Do not know
170
4
Not applicable
62
Sysmiss
112
Business statistics
320
108
1
Yes
29
2
No
53
3
Do not know
180
4
Not applicable
58
Sysmiss
108
Employment statistics
337
91
1
Yes
52
2
No
58
3
Do not know
163
4
Not applicable
64
Sysmiss
91
External trade statistics
321
107
1
Yes
43
2
No
46
3
Do not know
168
4
Not applicable
64
Sysmiss
107
Income/poverty statistics
347
81
1
yes
77
2
No
53
3
Do not know
158
4
Not applicable
59
Sysmiss
81
Demographic statistics
376
52
1
Yes
116
2
No
60
3
Do not know
149
4
Not applicable
51
Sysmiss
52
Social sectors (health, educ.)
358
70
1
Yes
95
2
No
50
3
Do not know
158
4
Not applicable
55
Sysmiss
70
Environment statistics
327
101
1
Yes
51
2
No
51
3
Do not know
164
4
Not applicable
61
Sysmiss
101
Agriculture/fishery stats
322
106
1
Yes
54
2
No
41
3
Do not know
165
4
Not applicable
62
Sysmiss
106
Regional statistics
315
113
1
Yes
20
2
No
42
3
Do not know
188
4
Not applicable
65
Sysmiss
113
Other (Please specify)
12
0
Administrative 1
2
Gender statistics 2
1
Gender statistics 4
1
Human development 2
1
International statistics 3
1
Mining statistics 4
1
Public servants statistics 3
1
Reports on corruption 1
1
Secutity 3
1
Skills statistics 2
1
Tourism 1
1
National accounts (GDP)
342
86
1
Yes
105
2
No
84
3
Do not know
109
4
Not applicable
44
Sysmiss
86
Prices
323
105
1
Yes
79
2
No
88
3
Do not know
112
4
Not applicable
44
Sysmiss
105
Public finance statistics
322
106
1
Yes
77
2
No
83
3
Do not know
117
4
Not applicable
45
Sysmiss
106
Monetary and financial statistics
320
108
1
Yes
73
2
No
77
3
Do not know
119
4
Not applicable
51
Sysmiss
108
Balance of payments
314
114
1
Yes
60
2
No
79
3
Do not know
129
4
Not applicable
46
Sysmiss
114
Business statistics
323
105
1
Yes
68
2
No
96
3
Do not know
121
4
Not applicable
38
Sysmiss
105
Employment statistics
328
100
1
Yes
81
2
No
100
3
Do not know
114
4
Not applicable
33
Sysmiss
100
External trade statistics
319
109
1
Yes
66
2
No
90
3
Do not know
123
4
Not applicable
40
Sysmiss
109
Income/poverty statistics
342
86
1
Yes
97
2
No
100
3
Do not know
110
4
Not applicable
35
Sysmiss
86
Demographic statistics
370
58
1
Yes
143
2
No
91
3
Do not know
108
4
Not applicable
28
Sysmiss
58
Social sectors (health, educ.)
358
70
1
Yes
115
2
No
106
3
Do not know
107
4
Not applicable
30
Sysmiss
70
Environment statistics
328
100
1
Yes
61
2
No
106
3
Do not know
120
4
Not applicable
41
Sysmiss
100
Agriculture/fishery stats
327
101
1
Yes
82
2
No
90
3
Do not know
117
4
Not applicable
38
Sysmiss
101
Regional statistics
311
117
1
Yes
53
2
No
90
3
Do not know
126
4
Not applicable
42
Sysmiss
117
Other (Please specify)
16
0
Administrative 1
2
Administrative statistics 1
2
Courts statistics 4
1
Forestry/Agroforestry 1
1
Gender statistics 1
1
Gender statistics 4
1
Human development 2
1
International statistics 4
1
Large dissemination, Comparison with previous years,Projection
1
Mining statistics 3
1
Public servants statistics 3
1
Security 3
1
Skill statistics 1
1
Tourism 1
1
National accounts (GDP)
336
92
1
very difficult
16
2
somewhat difficult
51
3
somewhat easy
66
4
easy
101
5
very easy
63
6
No opinion
39
Sysmiss
92
Prices
313
115
1
very difficult
17
2
somewhat difficult
61
3
somewhat easy
58
4
easy
75
5
very easy
52
6
No opinion
50
Sysmiss
115
Public finance statistics
310
118
1
very difficult
15
2
somewhat difficult
67
3
somewhat easy
62
4
easy
73
5
very easy
43
6
No opinion
50
Sysmiss
118
Monetary and financial statistics
311
117
1
very difficult
12
2
somewhat difficult
65
3
somewhat easy
58
4
easy
73
5
very easy
47
6
No opinion
56
Sysmiss
117
Balance of payments
302
126
1
very difficult
16
2
somewhat difficult
64
3
somewhat easy
56
4
easy
61
5
very easy
40
6
No opinion
65
Sysmiss
126
Business statistics
312
116
1
very difficult
17
2
somewhat difficult
64
3
somewhat easy
87
4
easy
57
5
very easy
39
6
No opinion
48
Sysmiss
116
Employment statistics
327
101
1
very difficult
32
2
somewhat difficult
67
3
somewhat easy
79
4
easy
76
5
very easy
40
6
No opinion
33
Sysmiss
101
External trade statistics
308
120
1
very difficult
18
2
somewhat difficult
68
3
somewhat easy
59
4
easy
66
5
very easy
38
6
No opinion
59
Sysmiss
120
Income/poverty statistics
343
85
1
very difficult
16
2
somewhat difficult
52
3
somewhat easy
92
4
easy
102
5
very easy
49
6
No opinion
32
Sysmiss
85
Demographic statistics
379
49
1
very difficult
7
2
somewhat difficult
46
3
somewhat easy
81
4
easy
130
5
very easy
93
6
No opinion
22
Sysmiss
49
Social sectors (health, educ.)
365
63
1
very difficult
7
2
somewhat difficult
45
3
somewhat easy
89
4
easy
131
5
very easy
67
6
No opinion
26
Sysmiss
63
Environment statistics
324
104
1
very difficult
22
2
somewhat difficult
49
3
somewhat easy
84
4
easy
81
5
very easy
42
6
No opinion
46
Sysmiss
104
Agriculture/fishery stats
326
102
1
very difficult
13
2
somewhat difficult
52
3
somewhat easy
88
4
easy
86
5
very easy
41
6
No opinion
46
Sysmiss
102
Regional statistics
307
121
1
very difficult
24
2
somewhat difficult
62
3
somewhat easy
61
4
easy
62
5
very easy
26
6
No opinion
72
Sysmiss
121
Other (Please specify)
18
0
Administrative 4
1
Administrative statistics 4
2
Adminstrative 3
1
Courts statistics 5
1
Forestry/Agroforestry 3
1
Gender statistics 3
1
Gender statistics 5
1
Human development 4
1
International organisation 5
1
International statistics 5
1
Internet/Web
1
Mining statistics 3
1
Public servants statistics 1
1
Security 2
1
Skills statistics 1
1
Tourism 5
1
UN agencies
1
National accounts (GDP)
331
97
1
very difficult
12
2
somewhat difficult
70
3
somewhat easy
82
4
easy
79
5
very easy
25
6
No opinion
63
Sysmiss
97
Prices
308
120
1
very difficult
12
2
somewhat difficult
63
3
somewhat easy
80
4
easy
65
5
very easy
15
6
No opinion
73
Sysmiss
120
Public finance statistics
308
120
1
very difficult
14
2
somewhat difficult
68
3
somewhat easy
78
4
easy
57
5
very easy
17
6
No opinion
74
Sysmiss
120
Monetary and financial statistics
308
120
1
very difficult
14
2
somewhat difficult
61
3
somewhat easy
75
4
easy
64
5
very easy
18
6
No opinion
76
Sysmiss
120
Balance of payments
302
126
1
very difficult
13
2
somewhat difficult
63
3
somewhat easy
74
4
easy
54
5
very easy
18
6
No opinion
80
Sysmiss
126
Business statistics
312
116
1
very difficult
15
2
somewhat difficult
67
3
somewhat easy
84
4
easy
65
5
very easy
19
6
No opinion
62
Sysmiss
116
Employment statistics
323
105
1
very difficult
21
2
somewhat difficult
75
3
somewhat easy
89
4
easy
65
5
very easy
21
6
No opinion
52
Sysmiss
105
External trade statistics
301
127
1
very difficult
16
2
somewhat difficult
66
3
somewhat easy
75
4
easy
58
5
very easy
19
6
No opinion
67
Sysmiss
127
Income/poverty statistics
339
89
1
very difficult
20
2
somewhat difficult
69
3
somewhat easy
102
4
easy
79
5
very easy
24
6
No opinion
45
Sysmiss
89
Demographic statistics
371
57
1
very difficult
9
2
somewhat difficult
57
3
somewhat easy
94
4
easy
117
5
very easy
54
6
No opinion
40
Sysmiss
57
Social sectors (health, educ.)
359
69
1
very difficult
11
2
somewhat difficult
60
3
somewhat easy
89
4
easy
107
5
very easy
47
6
No opinion
45
Sysmiss
69
Environment statistics
321
107
1
very difficult
20
2
somewhat difficult
60
3
somewhat easy
93
4
easy
56
5
very easy
30
6
No opinion
62
Sysmiss
107
Agriculture/fishery stats
321
107
1
very difficult
12
2
somewhat difficult
57
3
somewhat easy
89
4
easy
75
5
very easy
33
6
No opinion
55
Sysmiss
107
Regional statistics
301
127
1
very difficult
18
2
somewhat difficult
48
3
somewhat easy
94
4
easy
44
5
very easy
16
6
No opinion
81
Sysmiss
127
Other (Please specify)
14
0
2
1
Administrative 3
1
Courts statistics 5
1
Forestry/Agroforestry 2
1
Gender statistics 2
1
Gender statistics 6
1
Gorvernance score card
1
Human development
1
Mining statistics 3
1
Public servants statistics 2
1
Security 2
1
Tourism 4
1
UN agencies
1
international statistics 4
1
Is the above information on methodology sufficiently clear and at an adequate level of detail to be useful to you
406
22
1
Not all
15
2
slightly well
38
3
moderately
138
4
well
126
5
very well
33
6
No opinion
56
Sysmiss
22
Are official statistics presented in an easy-to-understand way
415
13
1
Not all
10
2
slightly well
53
3
moderately
112
4
well
155
5
very well
47
6
No opinion
38
Sysmiss
13
National accounts GDP)
335
93
1
very low
7
2
low
24
3
moderately high
86
4
high
124
5
very high
40
6
no opinion
54
Sysmiss
93
Price Statistics
313
115
1
very low
7
2
low
20
3
moderately high
89
4
high
110
5
very high
27
6
no opinion
60
Sysmiss
115
Public finance statistics
312
116
1
very low
4
2
low
29
3
moderately high
85
4
high
92
5
very high
34
6
no opinion
68
Sysmiss
116
Monetary and financial statistics
310
118
1
very low
5
2
low
18
3
moderately high
74
4
high
106
5
very high
39
6
no opinion
68
Sysmiss
118
Balance of payments
297
131
1
very low
6
2
low
15
3
moderately high
73
4
high
102
5
very high
30
6
no opinion
71
Sysmiss
131
Business statistics
311
117
1
very low
6
2
low
31
3
moderately high
105
4
high
90
5
very high
23
6
no opinion
56
Sysmiss
117
Employment statistics
324
104
1
very low
18
2
low
59
3
moderately high
90
4
high
91
5
very high
19
6
no opinion
47
Sysmiss
104
External trade statistics
303
125
1
very low
9
2
low
28
3
moderately high
75
4
high
96
5
very high
25
6
no opinion
70
Sysmiss
125
Income and poverty statistics
344
84
1
very low
10
2
low
36
3
moderately high
103
4
high
117
5
very high
36
6
no opinion
42
Sysmiss
84
Demographic statistics
375
53
1
very low
5
2
low
16
3
moderately high
89
4
high
161
5
very high
68
6
no opinion
36
Sysmiss
53
Social sector
364
64
1
very low
5
2
low
19
3
moderately high
106
4
high
144
5
very high
55
6
no opinion
35
Sysmiss
64
Environment statistics
323
105
1
very low
11
2
low
38
3
moderately high
85
4
high
94
5
very high
32
6
no opinion
63
Sysmiss
105
Agriculture and fishery statistics
325
103
1
very low
7
2
low
32
3
moderately high
101
4
high
105
5
very high
33
6
no opinion
47
Sysmiss
103
Regional statistics
304
124
1
very low
11
2
low
35
3
moderately high
76
4
high
75
5
very high
21
6
no opinion
86
Sysmiss
124
Other
59
369
2
7
3
14
4
16
5
4
6
18
Sysmiss
369
Please specify
15
0
Administrative
2
Administrative statistics
1
Courts statistics
1
Forestry/Agroforestry 2
1
Gender statistics
1
Gender statistics 4
1
Human development
1
International statistics 6
1
Mining statistics
1
Public servant statistics 6
1
Security
1
Skills statistics
1
Tourism 4
1
UN agencies
1
Did you use official statistics before 2009?
409
19
1
yes
172
2
no
237
Sysmiss
19
National accounts (GDP)
118
310
1
No improvement
1
2
2
3
3
5
4
6
13
7
16
8
25
9
7
10
great improvement
47
Sysmiss
310
Price statistics
104
324
1
No improvement
4
2
4
3
1
4
4
5
3
6
6
7
19
8
19
9
6
10
great improvement
38
Sysmiss
324
Public finance statistics
103
325
1
No improvement
4
2
1
3
2
4
7
6
11
7
22
8
23
9
6
10
great improvement
27
Sysmiss
325
Monetary and financial statistics
101
327
1
No improvement
5
2
1
3
1
4
3
5
8
6
15
7
11
8
17
9
9
10
great improvement
31
Sysmiss
327
Balance of payments
93
335
1
No improvement
4
2
1
3
2
4
4
5
4
6
11
7
18
8
16
9
5
10
great improvement
28
Sysmiss
335
Business statistics
102
326
1
No improvement
5
2
1
3
4
4
10
5
2
6
10
7
13
8
21
9
6
10
great improvement
30
Sysmiss
326
Employment statistics
117
311
1
No improvement
7
2
7
3
1
4
12
5
9
6
8
7
16
8
11
9
12
10
great improvement
34
Sysmiss
311
External trade statistics
102
326
1
No improvement
9
3
5
4
6
5
4
6
11
7
14
8
19
9
8
10
great improvement
26
Sysmiss
326
Income and poverty statistics
123
305
1
No improvement
1
3
2
4
6
5
6
6
10
7
29
8
22
9
10
10
great improvement
37
Sysmiss
305
Demographic statistics
142
286
1
No improvement
1
2
1
4
3
5
5
6
9
7
17
8
39
9
17
10
great improvement
50
Sysmiss
286
Social sector
139
289
1
No improvement
1
2
1
3
1
4
5
5
6
6
9
7
21
8
39
9
15
10
great improvement
41
Sysmiss
289
Environment statistics
102
326
1
No improvement
5
2
6
3
1
4
5
5
5
6
14
7
16
8
15
9
6
10
great improvement
29
Sysmiss
326
Agriculture and fishery statistics
112
316
1
No improvement
4
2
1
3
6
4
9
5
5
6
11
7
17
8
23
9
7
10
great improvement
29
Sysmiss
316
Regional statistics
93
335
1
No improvement
4
2
5
3
2
4
8
5
10
6
7
7
18
8
8
9
3
10
great improvement
28
Sysmiss
335
Other (specify)
21
407
1
No improvement
0
2
2
3
1
5
1
6
4
7
3
8
3
9
1
10
great improvement
6
Sysmiss
407
Please Specify
16
0
1
1
Administrative
2
Administrative statistics
3
Courts statistics
1
Demographic from NIDA
1
Gender statistics
1
Human development
1
Human settlement
1
Informal sector
1
International statistics
1
Mining statistics
1
Tourism
1
UN agencies
1
National accounts (GDP)
113
315
1
No improvement
1
2
1
3
1
4
1
5
9
6
12
7
19
8
24
9
6
10
great improvement
39
Sysmiss
315
Price Statistics
99
329
1
No improvement
9
2
3
3
1
4
2
5
3
6
8
7
19
8
19
9
7
10
great improvement
28
Sysmiss
329
Public finance statistics
100
328
1
No improvement
5
3
4
4
1
5
6
6
11
7
21
8
20
9
7
10
great improvement
25
Sysmiss
328
Monetary and financial statistics
101
327
1
No improvement
4
2
1
4
5
5
7
6
15
7
10
8
17
9
12
10
great improvement
30
Sysmiss
327
Balance of payments
92
336
1
No improvement
5
3
3
4
2
5
4
6
11
7
19
8
17
9
6
10
great improvement
25
Sysmiss
336
Business statistics
99
329
1
No improvement
8
2
2
3
4
4
4
5
8
6
15
7
15
8
12
9
6
10
great improvement
25
Sysmiss
329
Employment statistics
112
316
1
No improvement
16
2
4
3
4
4
7
5
12
6
10
7
11
8
16
9
9
10
great improvement
23
Sysmiss
316
External trade statistics
99
329
1
No improvement
11
3
5
4
4
5
9
6
9
7
16
8
13
9
11
10
great improvement
21
Sysmiss
329
Income/povert statistics
120
308
1
No improvement
6
2
1
3
3
4
4
5
9
6
12
7
25
8
20
9
7
10
great improvement
33
Sysmiss
308
Demographic statistics
135
293
1
No improvement
4
2
1
4
2
5
6
6
13
7
19
8
35
9
14
10
great improvement
41
Sysmiss
293
Social sectos(health, educ)
134
294
1
No improvement
4
2
1
3
1
4
5
5
4
6
14
7
25
8
26
9
14
10
great improvement
40
Sysmiss
294
Environmental statistics
98
330
1
No improvement
8
2
3
3
2
4
5
5
5
6
15
7
15
8
16
9
5
10
great improvement
24
Sysmiss
330
Agriculture/fishery statistics
106
322
1
No improvement
5
2
2
3
2
4
4
5
10
6
14
7
16
8
20
9
8
10
great improvement
25
Sysmiss
322
Regional statistics
90
338
1
No improvement
7
2
4
3
2
4
5
5
10
6
11
7
19
8
7
9
4
10
great improvement
21
Sysmiss
338
Other
20
408
1
No improvement
0
2
1
3
1
4
3
5
1
6
1
7
3
8
4
9
1
10
great improvement
5
Sysmiss
408
Please specify
15
0
Administrative
1
Administrative statistics
3
Court statistics
1
Demographic from NIDA
1
Gender statistics
1
Human development
1
Human settlement
1
Informal sector
1
International statistics
1
Mining statistics
1
Tourism
1
UN agencies
1
administrative
1
National accounts (GDP)
115
313
1
No improvement
1
2
1
3
1
4
1
5
6
6
8
7
25
8
20
9
11
10
great improvement
41
Sysmiss
313
Prices
96
332
1
No improvement
3
2
2
3
4
4
2
5
2
6
11
7
13
8
19
9
7
10
great improvement
33
Sysmiss
332
Public finance statistics
99
329
1
No improvement
4
2
1
3
4
4
3
5
4
6
14
7
15
8
19
9
10
10
great improvement
25
Sysmiss
329
Monetary and financial statistics
97
331
1
No improvement
4
3
2
4
4
5
3
6
13
7
10
8
22
9
8
10
great improvement
31
Sysmiss
331
Balance of payments
90
338
1
No improvement
3
2
1
3
3
4
3
5
3
6
15
7
14
8
19
9
3
10
great improvement
26
Sysmiss
338
Business statistics
99
329
1
No improvement
4
2
4
3
4
4
5
5
7
6
12
7
13
8
19
9
5
10
great improvement
26
Sysmiss
329
Employment statistics
109
319
1
No improvement
8
2
6
3
4
4
8
5
13
6
15
7
10
8
15
9
6
10
great improvement
24
Sysmiss
319
External trade statistics
98
330
1
No improvement
9
3
3
4
5
5
5
6
18
7
12
8
17
9
7
10
great improvement
22
Sysmiss
330
Income/povert statistics
116
312
1
No improvement
5
3
4
4
4
5
5
6
23
7
20
8
23
9
4
10
great improvement
28
Sysmiss
312
Demographic statistics
133
295
1
No improvement
2
2
1
3
3
4
2
5
6
6
19
7
19
8
36
9
11
10
great improvement
34
Sysmiss
295
Social sectos(health, educ)
129
299
1
No improvement
4
4
3
5
6
6
19
7
25
8
31
9
8
10
great improvement
33
Sysmiss
299
Environmental statistics
96
332
1
No improvement
6
2
2
3
5
4
6
5
6
6
13
7
16
8
16
9
3
10
great improvement
23
Sysmiss
332
Agriculture/fishery statistics
104
324
1
No improvement
4
2
3
3
4
4
4
5
11
6
14
7
12
8
23
9
3
10
great improvement
26
Sysmiss
324
Regional statistics
88
340
1
No improvement
5
2
3
3
3
4
5
5
6
6
19
7
14
8
12
9
1
10
great improvement
20
Sysmiss
340
Others
20
408
1
No improvement
0
2
2
5
2
6
4
7
1
8
7
10
great improvement
4
Sysmiss
408
Please specify
16
0
1
1
Administrative
2
Administrative statistics
3
Court statistics
1
Demographic from NIDA
1
Gender steatistics
1
Human development
1
Human settlement
1
Informal sector
1
International statistics
1
Mining statistics
1
Tourism
1
UN agencies
1
National accounts (GDP)
110
318
1
No improvement
2
2
2
4
2
5
8
6
8
7
20
8
21
9
14
10
great improvement
33
Sysmiss
318
Prices
96
332
1
No improvement
7
2
3
3
1
4
2
5
7
6
6
7
15
8
20
9
11
10
great improvement
24
Sysmiss
332
Public finance statistics
99
329
1
No improvement
5
3
2
4
3
5
7
6
9
7
24
8
13
9
10
10
great improvement
26
Sysmiss
329
Monetary and financial statistics
96
332
1
No improvement
4
3
1
4
4
5
4
6
12
7
13
8
19
9
12
10
great improvement
27
Sysmiss
332
Balance of payments
92
336
1
No improvement
5
2
2
4
1
5
5
6
8
7
21
8
17
9
6
10
great improvement
26
11
1
Sysmiss
336
Business statistics
98
330
1
No improvement
10
2
4
3
3
4
6
5
8
6
13
7
12
8
13
9
6
10
great improvement
22
11
1
Sysmiss
330
Employment statistics
112
316
1
No improvement
17
2
7
3
7
4
6
5
13
6
8
7
12
8
12
9
9
10
great improvement
21
Sysmiss
316
External trade statistics
99
329
1
No improvement
11
3
4
4
3
5
9
6
6
7
18
8
14
9
12
10
great improvement
22
Sysmiss
329
Income/povert statistics
117
311
1
No improvement
9
2
1
3
2
4
8
5
7
6
9
7
26
8
20
9
9
10
great improvement
26
Sysmiss
311
Demographic statistics
136
292
1
No improvement
7
2
1
4
2
5
5
6
11
7
24
8
35
9
17
10
great improvement
34
Sysmiss
292
Social sectos(health, educ)
132
296
1
No improvement
5
3
2
4
6
5
7
6
6
7
28
8
28
9
14
10
great improvement
36
Sysmiss
296
Environmental statistics
97
331
1
No improvement
10
2
3
3
3
4
4
5
7
6
9
7
13
8
17
9
6
10
great improvement
25
Sysmiss
331
Agriculture/fishery statistics
104
324
1
No improvement
8
2
2
3
4
4
3
5
11
6
10
7
18
8
18
9
7
10
great improvement
23
Sysmiss
324
Regional statistics
87
341
1
No improvement
9
2
2
3
2
4
3
5
9
6
14
7
14
8
11
9
3
10
great improvement
20
Sysmiss
341
Other
20
408
1
No improvement
0
2
1
3
1
5
2
6
1
7
1
8
10
9
1
10
great improvement
3
Sysmiss
408
Please specify
15
0
Administrative
2
Administrative statistics
3
Court statistics
1
Demographic from NIDA
1
Gender statistics
1
Human development
1
Human settlement
1
Informal sector
1
Internationa statistics
1
Mining statistics
1
Tourism
1
UN agencies
1
National accounts (GDP)
89
339
1
No improvement
1
2
1
5
4
6
11
7
15
8
19
9
10
10
great improvement
28
Sysmiss
339
Prices
80
348
1
No improvement
4
2
2
4
1
5
2
6
9
7
12
8
15
9
13
10
great improvement
22
Sysmiss
348
Public finance statistics
79
349
1
No improvement
2
3
2
4
2
5
4
6
7
7
17
8
19
9
5
10
great improvement
21
Sysmiss
349
Monetary and financial statistics
82
346
1
No improvement
3
3
1
4
4
5
5
6
6
7
11
8
20
9
8
10
great improvement
24
Sysmiss
346
Balance of payments
74
354
1
No improvement
3
2
1
3
2
4
2
5
3
6
8
7
14
8
15
9
6
10
great improvement
20
Sysmiss
354
Business statistics
82
346
1
No improvement
3
2
1
3
1
4
3
5
8
6
12
7
12
8
12
9
6
10
great improvement
24
Sysmiss
346
Employment statistics
91
337
1
No improvement
6
2
2
3
2
4
6
5
12
6
10
7
8
8
15
9
5
10
great improvement
25
Sysmiss
337
External trade statistics
83
345
1
No improvement
6
3
3
4
1
5
9
6
11
7
14
8
11
9
7
10
great improvement
21
Sysmiss
345
Income/povert statistics
99
329
1
No improvement
3
4
3
5
9
6
14
7
20
8
16
9
6
10
great improvement
28
Sysmiss
329
Demographic statistics
111
317
1
No improvement
3
3
1
4
2
5
2
6
9
7
15
8
33
9
14
10
great improvement
32
Sysmiss
317
Social sectos(health, educ)
108
320
1
No improvement
3
2
1
3
1
4
1
5
2
6
10
7
22
8
26
9
10
10
great improvement
32
Sysmiss
320
Environmental statistics
82
346
1
No improvement
3
2
2
3
1
4
2
5
7
6
13
7
14
8
13
9
5
10
great improvement
22
Sysmiss
346
Agriculture/fishery statistics
82
346
1
No improvement
4
3
1
4
5
5
7
6
12
7
11
8
13
9
8
10
great improvement
21
Sysmiss
346
Regional statistics
72
356
1
No improvement
3
2
3
3
2
4
2
5
6
6
12
7
15
8
5
9
2
10
great improvement
22
Sysmiss
356
Other
14
414
1
No improvement
0
2
1
3
1
5
2
7
1
8
3
9
3
10
great improvement
3
Sysmiss
414
Please specify
9
0
Court statistics
1
Gender statistics
1
Human development
1
Human settlement
1
Informal sector
1
International statistics
1
Mining statistics
1
Tourism
1
UN agencies
1
How often did you use official statistics for your professional activities during the last 12 months?
399
29
1
per day
74
2
per week
61
3
per month
99
4
per quarter
89
5
per year
48
6
other
28
Sysmiss
29
Specify
20
0
All along academic researches
1
Any academic year
1
During all academic year
1
Every day
1
In each planning process
1
It is used when neede
1
Never
1
Not at all
1
Not much relevant statistics
1
Occasionally
1
Occasionaly
1
Often
1
On every occasion
1
Regularly
1
Sometimes
1
Student research
1
Usually depends on need
1
When I need it
1
When deemed necessary
1
sometimes
1
How satisfied are you with Rwanda official statistics?
382
46
1
very dissatisfied
25
3
3
4
5
5
35
6
43
7
74
8
77
9
10
10
very satisfied
110
Sysmiss
46
To what extent have the Rwanda Official Statistics fallen short of or exceeded your expectations?
377
51
1
falls short of my expectations
46
2
2
3
8
4
11
5
41
6
59
7
68
8
56
9
10
10
exceeds my expectations
76
Sysmiss
51
How well do you think the Rwanda Official Statistics compared with the one of a certain ideal country?
376
52
1
not very close to the ideal
36
2
3
3
6
4
15
5
42
6
60
7
62
8
40
9
18
10
very close to the ideal
94
Sysmiss
52
Have you ever complained to a provider of official statistics in the past 5 years in relation with official statistics?
398
30
1
yes
124
2
no
274
Sysmiss
30
If yes, how weel or poorly was your most recent complaint handled?
125
303
1
handled very poorly
32
2
5
3
8
4
2
5
18
6
12
7
12
8
9
9
2
10
handled very well
25
Sysmiss
303
How confident are you that the delivery of Official Statistics in Rwanda will improve in future?
387
41
1
not at all confident
11
3
2
4
1
5
13
6
20
7
47
8
71
9
33
10
very confident
189
Sysmiss
41
If asked, would you be willing to say positive things about the Rwanda Official statistics?
377
51
1
not at all willing
7
3
3
4
1
5
13
6
23
7
52
8
50
9
38
10
very willing
190
Sysmiss
51
National accounts (GDP)
302
126
1
Most preferred
278
2
8
3
4
4
least preferred
12
Sysmiss
126
Prices
270
158
1
Most preferred
245
2
11
3
2
4
least preferred
12
Sysmiss
158
Public finance statistics
265
163
1
Most preferred
244
2
9
3
2
4
least preferred
10
Sysmiss
163
Monetary and financial statistics
260
168
1
Most preferred
240
2
7
3
2
4
least preferred
11
Sysmiss
168
Balance of payments
255
173
1
Most preferred
235
2
7
3
2
4
least preferred
11
Sysmiss
173
Business statistics
262
166
1
Most preferred
238
2
8
3
4
4
least preferred
12
Sysmiss
166
Employment statistics
279
149
1
Most preferred
260
2
6
3
1
4
least preferred
12
Sysmiss
149
External trade statistics
259
169
1
Most preferred
237
2
10
3
2
4
least preferred
10
Sysmiss
169
Income/povert statistics
287
141
1
Most preferred
262
2
9
3
5
4
least preferred
11
Sysmiss
141
Demographic statistics
317
111
1
Most preferred
296
2
7
3
3
4
least preferred
11
Sysmiss
111
Social sectos(health, educ)
305
123
1
Most preferred
281
2
10
3
2
4
least preferred
12
Sysmiss
123
Environmental statistics
274
154
1
Most preferred
253
2
7
4
least preferred
14
Sysmiss
154
Agriculture/fishery statistics
265
163
1
Most preferred
243
2
10
3
1
4
least preferred
11
Sysmiss
163
Regional statistics
272
156
1
Most preferred
250
2
8
3
1
4
least preferred
13
Sysmiss
156
Other
76
352
1
Most preferred
67
2
5
3
2
4
least preferred
2
Sysmiss
352
Please specify
20
0
Administrative
2
Administrative statistics
2
Adnministrative statistics
1
Broadcast,SMS through telephone
1
Court statistics
1
Gender statistics
2
Human development
1
Human settlement
1
International statistics
1
Law and justice
1
Leaflets/flyers
1
Media channels
1
Meetings,Workshops,TV talk show and Radio
1
Mining statistics
1
Statistical year book, HDS
1
Tourism
1
UN agencies
1
National accounts (GDP)
93
335
1
Most preferred
19
2
20
3
24
4
least preferred
30
Sysmiss
335
Prices
84
344
1
Most preferred
16
2
21
3
20
4
least preferred
27
Sysmiss
344
Public finance statistics
82
346
1
Most preferred
16
2
19
3
19
4
least preferred
28
Sysmiss
346
Monetary and financial statistics
78
350
1
Most preferred
15
2
19
3
20
4
least preferred
24
Sysmiss
350
Balance of payments
74
354
1
Most preferred
12
2
18
3
21
4
least preferred
23
Sysmiss
354
Business statistics
82
346
1
Most preferred
20
2
20
3
18
4
least preferred
24
Sysmiss
346
Employment statistics
84
344
1
Most preferred
21
2
19
3
20
4
least preferred
24
Sysmiss
344
External trade statistics
78
350
1
Most preferred
20
2
17
3
21
4
least preferred
20
Sysmiss
350
Income/povert statistics
92
336
1
Most preferred
29
2
21
3
19
4
least preferred
23
Sysmiss
336
Demographic statistics
115
313
1
Most preferred
45
2
22
3
24
4
least preferred
24
Sysmiss
313
Social sectos(health, educ)
102
326
1
Most preferred
33
2
21
3
26
4
least preferred
22
Sysmiss
326
Environmental statistics
84
344
1
Most preferred
23
2
22
3
19
4
least preferred
20
Sysmiss
344
Agriculture/fishery statistics
85
343
1
Most preferred
23
2
22
3
20
4
least preferred
20
Sysmiss
343
Regional statistics
79
349
1
Most preferred
14
2
23
3
21
4
least preferred
21
Sysmiss
349
Other
29
399
1
Most preferred
3
2
7
3
10
4
least preferred
9
Sysmiss
399
Please specify
7
0
Administrative
1
Forestry/Agroforestry
1
Gender statistics
1
Human settlement
1
Law and justice
1
Media channels
1
Mining statistics
1
National accounts (GDP)
145
283
1
Most preferred
75
2
35
3
26
4
least preferred
9
Sysmiss
283
Prices
124
304
1
Most preferred
63
2
27
3
22
4
least preferred
12
Sysmiss
304
Public finance statistics
126
302
1
Most preferred
67
2
24
3
22
4
least preferred
13
Sysmiss
302
Monetary and financial statistics
130
298
1
Most preferred
66
2
31
3
21
4
least preferred
12
Sysmiss
298
Balance of payments
123
305
1
Most preferred
63
2
31
3
18
4
least preferred
11
Sysmiss
305
Business statistics
142
286
1
Most preferred
78
2
31
3
22
4
least preferred
11
Sysmiss
286
Employment statistics
151
277
1
Most preferred
86
2
31
3
22
4
least preferred
12
Sysmiss
277
External trade statistics
121
307
1
Most preferred
62
2
29
3
18
4
least preferred
12
Sysmiss
307
Income/poverty statistics
156
272
1
Most preferred
93
2
28
3
23
4
least preferred
12
Sysmiss
272
Demographic statistics
185
243
1
Most preferred
114
2
32
3
26
4
least preferred
13
Sysmiss
243
Social sectors (health, educ.)
177
251
1
Most preferred
109
2
33
3
20
4
least preferred
15
Sysmiss
251
Environment statistics
133
295
1
Most preferred
78
2
24
3
19
4
least preferred
12
Sysmiss
295
Agriculture/fishery stats
143
285
1
Most preferred
85
2
27
3
21
4
least preferred
10
Sysmiss
285
Regional statistics
126
302
1
Most preferred
66
2
28
3
22
4
least preferred
10
Sysmiss
302
Other
41
387
1
Most preferred
21
2
7
3
6
4
least preferred
7
Sysmiss
387
Please specify
12
0
1
1
Administrative
1
Administrative statistics
2
Admistrative statistics
1
Court statistics
1
Forestry/Agroforestry
1
Gender statistics
1
Human settlement
1
Media channels
1
Mining statistics
1
Security
1
National accounts (GDP)
63
365
1
Most preferred
13
2
10
3
10
4
least preferred
30
Sysmiss
365
Prices
56
372
1
Most preferred
14
2
7
3
11
4
least preferred
24
Sysmiss
372
Public finance statistics
54
374
1
Most preferred
11
2
10
3
10
4
least preferred
23
Sysmiss
374
Monetary and financial statistics
52
376
1
Most preferred
14
2
7
3
9
4
least preferred
22
Sysmiss
376
Balance of payments
48
380
1
Most preferred
8
2
7
3
11
4
least preferred
22
Sysmiss
380
Business statistics
53
375
1
Most preferred
14
2
6
3
8
4
least preferred
25
Sysmiss
375
Employment statistics
56
372
1
Most preferred
14
2
8
3
9
4
least preferred
25
Sysmiss
372
External trade statistics
53
375
1
Most preferred
13
2
9
3
7
4
least preferred
24
Sysmiss
375
Income/poverty statistics
56
372
1
Most preferred
15
2
8
3
7
4
least preferred
26
Sysmiss
372
Demographic statistics
72
356
1
Most preferred
21
2
10
3
11
4
least preferred
30
Sysmiss
356
Social sectors (health, educ.)
66
362
1
Most preferred
16
2
8
3
10
4
least preferred
32
Sysmiss
362
Environment statistics
55
373
1
Most preferred
14
2
5
3
9
4
least preferred
27
Sysmiss
373
Agriculture/fishery stats
61
367
1
Most preferred
19
2
6
3
10
4
least preferred
26
Sysmiss
367
Regional statistics
56
372
1
Most preferred
14
2
7
3
10
4
least preferred
25
Sysmiss
372
Other
29
399
1
Most preferred
9
2
4
3
3
4
least preferred
13
Sysmiss
399
Please specify
17
0
Call
1
Conferance
1
DevInfo
1
Excel
1
Forestry/Agroforestry (Radio)
1
Gender statistics
1
Handbooks
1
Human settlement
1
Leaft
1
Library
1
Mining statistics
1
News and radio
1
Radio
1
Radio and TV
1
Radio and Television
1
SMS an Phone
1
Workshops,Fairs/exhibition,Conference,Radio,TV talk show,Statistic magazine,Twitter,Facebook,etc
1
Are you aware of the existence of a micro-data dissemination_NADA?
409
19
1
yes
155
2
no
254
Sysmiss
19
If yes, did you try to download micro-data from NAA during the last 12 months?
153
275
1
yes with success
97
2
yes but I failed
34
3
no
22
Sysmiss
275
If you successfully downloaded micro-data from NADA, did you use them for your business or your professional activities?
105
323
1
yes
92
2
no
13
Sysmiss
323
comprehensive food security and vulnerability analysis(2006-2009)
63
365
1
not satisfied
1
2
slightly satisfied
6
3
moderately satisfied
21
4
satisfied
22
5
highly satisfied
9
6
no opinion
4
Sysmiss
365
DHS(1992,2000,2005,2010)
86
342
1
not satisfied
1
2
slightly satisfied
3
3
moderately satisfied
13
4
satisfied
42
5
highly satisfied
27
6
no opinion
0
Sysmiss
342
EICV(2000,2005,2010)
79
349
1
not satisfied
0
2
slightly satisfied
3
3
moderately satisfied
12
4
satisfied
40
5
highly satisfied
21
6
no opinion
3
Sysmiss
349
Enterprise survey (2006,2011)
56
372
1
not satisfied
2
2
slightly satisfied
6
3
moderately satisfied
17
4
satisfied
15
5
highly satisfied
6
6
no opinion
10
Sysmiss
372
Establishment Census (2011)
59
369
1
not satisfied
0
2
slightly satisfied
1
3
moderately satisfied
13
4
satisfied
31
5
highly satisfied
9
6
no opinion
5
Sysmiss
369
General Census of pop. and housing (2002)
73
355
1
not satisfied
0
2
slightly satisfied
3
3
moderately satisfied
12
4
satisfied
32
5
highly satisfied
23
6
no opinion
3
Sysmiss
355
Micro-enterprise survey (2006, 2011)
54
374
1
not satisfied
0
2
slightly satisfied
5
3
moderately satisfied
17
4
satisfied
15
5
highly satisfied
5
6
no opinion
12
Sysmiss
374
Rwanda Interim Demographic and Health Survey (2007-2008)
60
368
1
not satisfied
0
2
slightly satisfied
2
3
moderately satisfied
15
4
satisfied
22
5
highly satisfied
15
6
no opinion
6
Sysmiss
368
Rwanda National Manpower survey (2011)
59
369
1
not satisfied
0
2
slightly satisfied
4
3
moderately satisfied
24
4
satisfied
17
5
highly satisfied
4
6
no opinion
10
Sysmiss
369
Rwanda National Child labor survey (2008)
53
375
1
not satisfied
1
2
slightly satisfied
2
3
moderately satisfied
15
4
satisfied
17
5
highly satisfied
7
6
no opinion
11
Sysmiss
375
Rwanda Service Provision Assessment Survey (2011)
51
377
1
not satisfied
0
2
slightly satisfied
2
3
moderately satisfied
14
4
satisfied
19
5
highly satisfied
5
6
no opinion
11
Sysmiss
377
Vision 2020 Umurenge Program, Baseline Survey (2008)
70
358
1
not satisfied
2
2
slightly satisfied
4
3
moderately satisfied
9
4
satisfied
34
5
highly satisfied
16
6
no opinion
5
Sysmiss
358
comprehensive food security and vulnerability analysis(2006-2009)
61
367
1
not satisfied
0
2
slightly satisfied
6
3
moderately satisfied
22
4
satisfied
18
5
highly satisfied
11
6
no opinion
4
Sysmiss
367
DHS(1992,2000,2005,2010)
82
346
1
not satisfied
1
2
slightly satisfied
4
3
moderately satisfied
14
4
satisfied
35
5
highly satisfied
28
6
no opinion
0
Sysmiss
346
EICV(2000,2005,2010)
76
352
1
not satisfied
3
2
slightly satisfied
1
3
moderately satisfied
13
4
satisfied
33
5
highly satisfied
25
6
no opinion
1
Sysmiss
352
Enterprise survey (2006,2011)
55
373
1
not satisfied
2
2
slightly satisfied
5
3
moderately satisfied
19
4
satisfied
15
5
highly satisfied
5
6
no opinion
9
Sysmiss
373
Establishment Census (2011)
57
371
1
not satisfied
0
2
slightly satisfied
1
3
moderately satisfied
17
4
satisfied
25
5
highly satisfied
10
6
no opinion
4
Sysmiss
371
General Census of pop. and housing (2002)
71
357
1
not satisfied
1
2
slightly satisfied
3
3
moderately satisfied
12
4
satisfied
26
5
highly satisfied
26
6
no opinion
3
Sysmiss
357
Micro-enterprise survey (2006, 2011)
52
376
1
not satisfied
0
2
slightly satisfied
5
3
moderately satisfied
15
4
satisfied
15
5
highly satisfied
7
6
no opinion
10
Sysmiss
376
Rwanda Interim Demographic and Health Survey (2007-2008)
61
367
1
not satisfied
1
2
slightly satisfied
2
3
moderately satisfied
15
4
satisfied
25
5
highly satisfied
12
6
no opinion
6
Sysmiss
367
Rwanda National Manpower survey (2011)
57
371
1
not satisfied
1
2
slightly satisfied
3
3
moderately satisfied
24
4
satisfied
15
5
highly satisfied
5
6
no opinion
9
Sysmiss
371
Rwanda National Child labor survey (2008)
52
376
1
not satisfied
0
2
slightly satisfied
3
3
moderately satisfied
17
4
satisfied
17
5
highly satisfied
5
6
no opinion
10
Sysmiss
376
Rwanda Service Provision Assessment Survey (2011)
50
378
1
not satisfied
1
2
slightly satisfied
3
3
moderately satisfied
13
4
satisfied
16
5
highly satisfied
7
6
no opinion
10
Sysmiss
378
Vision 2020 Umurenge Program, Baseline Survey (2008)
66
362
1
not satisfied
1
2
slightly satisfied
4
3
moderately satisfied
15
4
satisfied
23
5
highly satisfied
18
6
no opinion
5
Sysmiss
362
comprehensive food security and vulnerability analysis(2006-2009)
60
368
1
not satisfied
1
2
slightly satisfied
12
3
moderately satisfied
20
4
satisfied
17
5
highly satisfied
5
6
no opinion
5
Sysmiss
368
DHS(1992,2000,2005,2010)
78
350
1
not satisfied
2
2
slightly satisfied
10
3
moderately satisfied
17
4
satisfied
32
5
highly satisfied
16
6
no opinion
1
Sysmiss
350
EICV(2000,2005,2010)
73
355
1
not satisfied
2
2
slightly satisfied
10
3
moderately satisfied
13
4
satisfied
33
5
highly satisfied
12
6
no opinion
3
Sysmiss
355
Enterprise survey (2006,2011)
53
375
1
not satisfied
2
2
slightly satisfied
8
3
moderately satisfied
15
4
satisfied
17
5
highly satisfied
3
6
no opinion
8
Sysmiss
375
Establishment Census (2011)
55
373
1
not satisfied
1
2
slightly satisfied
2
3
moderately satisfied
9
4
satisfied
29
5
highly satisfied
7
6
no opinion
7
Sysmiss
373
General Census of pop. and housing (2002)
68
360
1
not satisfied
2
2
slightly satisfied
4
3
moderately satisfied
9
4
satisfied
33
5
highly satisfied
17
6
no opinion
3
Sysmiss
360
Micro-enterprise survey (2006, 2011)
50
378
1
not satisfied
1
2
slightly satisfied
7
3
moderately satisfied
14
4
satisfied
15
5
highly satisfied
4
6
no opinion
9
Sysmiss
378
Rwanda Interim Demographic and Health Survey (2007-2008)
59
369
1
not satisfied
3
2
slightly satisfied
3
3
moderately satisfied
17
4
satisfied
22
5
highly satisfied
7
6
no opinion
7
Sysmiss
369
Rwanda National Manpower survey (2011)
54
374
1
not satisfied
2
2
slightly satisfied
4
3
moderately satisfied
23
4
satisfied
14
5
highly satisfied
2
6
no opinion
9
Sysmiss
374
Rwanda National Child labor survey (2008)
49
379
1
not satisfied
2
2
slightly satisfied
2
3
moderately satisfied
20
4
satisfied
13
5
highly satisfied
2
6
no opinion
10
Sysmiss
379
Rwanda Service Provision Assessment Survey (2011)
49
379
1
not satisfied
4
2
slightly satisfied
5
3
moderately satisfied
17
4
satisfied
12
5
highly satisfied
1
6
no opinion
10
Sysmiss
379
Vision 2020 Umurenge Program, Baseline Survey (2008)
64
364
1
not satisfied
2
2
slightly satisfied
7
3
moderately satisfied
11
4
satisfied
25
5
highly satisfied
13
6
no opinion
6
Sysmiss
364
comprehensive food security and vulnerability analysis(2006-2009)
62
366
1
not satisfied
1
2
slightly satisfied
6
3
moderately satisfied
19
4
satisfied
16
5
highly satisfied
16
6
no opinion
4
Sysmiss
366
DHS(1992,2000,2005,2010)
84
344
1
not satisfied
2
2
slightly satisfied
2
3
moderately satisfied
12
4
satisfied
30
5
highly satisfied
38
6
no opinion
0
Sysmiss
344
EICV(2000,2005,2010)
80
348
1
not satisfied
2
2
slightly satisfied
1
3
moderately satisfied
13
4
satisfied
28
5
highly satisfied
33
6
no opinion
3
Sysmiss
348
Enterprise survey (2006,2011)
56
372
1
not satisfied
3
2
slightly satisfied
7
3
moderately satisfied
11
4
satisfied
14
5
highly satisfied
11
6
no opinion
10
Sysmiss
372
Establishment Census (2011)
59
369
1
not satisfied
1
2
slightly satisfied
3
3
moderately satisfied
11
4
satisfied
20
5
highly satisfied
19
6
no opinion
5
Sysmiss
369
General Census of pop. and housing (2002)
73
355
1
not satisfied
4
2
slightly satisfied
2
3
moderately satisfied
14
4
satisfied
19
5
highly satisfied
32
6
no opinion
2
Sysmiss
355
Micro-enterprise survey (2006, 2011)
55
373
1
not satisfied
1
2
slightly satisfied
4
3
moderately satisfied
12
4
satisfied
17
5
highly satisfied
10
6
no opinion
11
Sysmiss
373
Rwanda Interim Demographic and Health Survey (2007-2008)
61
367
1
not satisfied
2
2
slightly satisfied
2
3
moderately satisfied
10
4
satisfied
23
5
highly satisfied
18
6
no opinion
6
Sysmiss
367
Rwanda National Manpower survey (2011)
59
369
1
not satisfied
2
2
slightly satisfied
4
3
moderately satisfied
20
4
satisfied
14
5
highly satisfied
9
6
no opinion
10
Sysmiss
369
Rwanda National Child labor survey (2008)
53
375
1
not satisfied
1
2
slightly satisfied
7
3
moderately satisfied
13
4
satisfied
11
5
highly satisfied
10
6
no opinion
11
Sysmiss
375
Rwanda Service Provision Assessment Survey (2011)
51
377
1
not satisfied
2
2
slightly satisfied
2
3
moderately satisfied
13
4
satisfied
12
5
highly satisfied
9
6
no opinion
13
Sysmiss
377
Vision 2020 Umurenge Program, Baseline Survey (2008)
69
359
1
not satisfied
3
2
slightly satisfied
2
3
moderately satisfied
12
4
satisfied
21
5
highly satisfied
24
6
no opinion
7
Sysmiss
359
Have you requested for a Visa from NISR to conduct a survey in Rwanda during the last 5 years?
407
21
1
yes
65
2
no
342
Sysmiss
21
If yes, what was the response?
65
363
1
Visa was granteg
60
2
Visa was refused
3
3
Did not get a response
2
Sysmiss
363
Procedures for the submission of the request for a visa
64
364
1
not at all satisfied
8
2
1
4
2
5
4
6
3
7
6
8
15
9
11
10
very satisfied
14
Sysmiss
364
Process leading to a final decision
63
365
1
not at all satisfied
8
2
3
3
1
4
1
5
5
6
4
7
8
8
14
9
6
10
very satisfied
13
Sysmiss
365
Time it took to get the official response
63
365
1
not at all satisfied
9
2
3
3
1
4
1
5
6
6
4
7
6
8
16
9
8
10
very satisfied
9
Sysmiss
365
Other aspect (specify)
0
0
Ranking the aspect above
0
428
1
not at all satisfied
0
10
very satisfied
0
Sysmiss
428
When consulting the website of the NISR, do you find it easy to access Official Statistics?
415
13
1
not at all
6
2
slightly easy
29
3
moderately easy
98
4
easy
137
5
very easy
86
6
No opinion
12
7
Not applicable
47
Sysmiss
13
Do not need them for my professional activities
13
415
1
yes
13
2
no
0
Sysmiss
415
Do not trust official statistics
2
426
1
yes
2
2
no
0
Sysmiss
426
it is difucult to assess official statistics
24
404
1
yes
24
2
no
0
Sysmiss
404
Official statistics related to my activities are not available
27
401
1
yes
27
2
no
0
Sysmiss
401
Other reason
14
414
1
yes
14
2
no
0
Sysmiss
414
Specify the reason
17
0
For administrative purposes, only official statistics produced within my organisation are used
1
Have never actually considered using the NISR website usually refer to lines ministries
1
I use some of them
1
I was not aware, needed information I got them from BNR
1
Lack of time to do proper research
1
Lacking explanatory notes and clear methods
1
Need them not often
1
Network
1
No clear linkages between RAB M&E NISR no collaboration as expected
1
Not in my duties
1
Official statistics need to be gender disagreggated
1
Some indicators are not available
1
Some ministries websites not update regularly
1
Sometimes details statistics not available
1
Sometimes we need statistics fro the region and international statistics
1
We need them sometimes not all time.
1
We rely on catholic church statistics
1
Other comments, area where you see room for improvement
192
(DHS,EICV,social sector stat,finance stat) It is important to disagreggate data,provide interpretation,include clear indicators in data collection.
1
Actually Rwanda judiciary produces statistics of cases judged, If Rwanda judiciary statistics are not integreted in NISR I think it should.
1
Agriculture and livestock (targets and harvest), Methodology of determining the total cultivated area and calculation of Yield and harvest
1
Agriculture and natural ressources statistics. NISR should work with MINAGRI because we receive 2 differents types of statistics on the same sector.
1
All official statistics in general: Enhance communication in media so that all interested people can know where they can find them
1
All people in charge of statistics should be involved in collection of data
1
All resultats of survey or research should be ported to the website of the NISR by categories so that whoever wants them find them easly and updated
1
All statistics would be updated every quarter, To make website accessible
1
Areas to be improved are related to specific statistics in line with the media development in Rwanda.
1
As I see the office of NISR is far from people so it will be better if you build other branches of offices in district or provinces
1
Avail regularly employment and unemployment statistics, Organise awareness campain for collecting and using data or official statistics
1
Capacity building of public institutions and private sectors, Schools specialized in statistics teaching,optimum use of existing capacity (ICT,etc)
1
Collection of official statistics should be improved and by strengthening the capacity of enumerators or hire qualified ones.
1
Communication and dissemination to local government of available data and to disagreggate them in terms of gender
1
Comprehensive data on disability and vulnerability disaggregated as much as possible for effective evidence based planning and policy formulation
1
Consultation with stakeholders MDIs in coming with credible statistics, Capacity building for MDIs to generate approaches statistics, Dissemination
1
Dairy statistics not available (number of cows, milk production, costs of production, dairy employment)
1
Data accessibility process is very complicated, It has to be quicker and easy if possible create online accessibility where user can make own queries.
1
Data at all levels (National,district,sector,cells,villager) in all domains are needed
1
Data available on insurance ara basic and needed to be worked on
1
Data disaggregation(age,district,marginalised population), Accelerate to process of granting visa to conduct survey
1
Data from lacal government have to be collected and well kept
1
Data of social sector are needed not only national level but also at local level
1
Decentralisation of statistics, NISR have to centralise statistics staaff and its activities
1
Demographic statistics should be disaggregated by cell and village
1
Difficulty to access the national statistics on line
1
Disseminate to university community for secondary data analysis, Create"a data use forum", Visa application procedures need improvement.
1
Dissemination of micro data could be quicker, Official poverty line is outdated, Data from 2012 population census is already old data but not availabl
1
Dissemination requires more effort at least in university institutions
1
Dissemination to population non educated should be done in kinyarwanda and media (radio and drama ) for them to access data
1
Employment statistics
1
Employment statistics need to be much improved
1
Enhance the way or channel of communication of date
1
Enterprise data,Comprehensive food security and vulnerability,Micro enterprise survey data. Data are not published in way all people get information.
1
Environmental data need to be accurate and provided on time as well as reginal information
1
Environnement and employment statistics need to be improved and disseminated regularly
1
Flow of data (administrative data) from sector to NISR, Data accuracy
1
For adequate and easy use of data there ia a great need of breakdown of mort of statistics up to administrative sectors,cells and not to villages
1
General comment: Data should not be influenced by politics
1
Health,Economic and Social area. To provide those official statistics so that everyone access on them
1
I appreciate the NISR for the improvements made during these years ago but it has to go beyond so that every institution get the accurate information
1
I would be very comfortable with statistics related to crime,prison population,information or ignorance of law,etc
1
I would like request the NISR to cover more environmental matters/issues and include the climate change aspect
1
I would like to asku NISR to give trainings to student of high learning institutions and give them jobs, also give data for using in higher entreprise
1
I would love that the summaries of statistics be better disseminated accross the public through printed yearbook,news,websites,etc
1
I would suggest that we set a number of economic indicators to follow in terms of figures
1
Improve access on dat by telephone, onwebsite, Increase the knowledge about microdata use among user of NISR website
1
Improve accessibility of data by translating them in kinyarwanda and french, Make short publications like brochures for easy,quick and cheap consultat
1
Improve timeliness of demographic datas, Translation of document in Kinyarwanda so that many people can access to differents ststistics
1
Improvement in collaboration and working system with district statistician
1
Improvement in independence,relevance and reliability of official statistics and also timeliness and cost effectiveness.
1
Improvement in integrity,confidentinciality and accessibility of microdata, Need of reporting in all languages mostly used by all Rwandans.
1
Improvement of accessibility to official statistics through other channels like telephones and televisions
1
Improvement should be made in labor statistics
1
Increase employees help to analyse data before to do planning, Prepare meetimg consultation for data harmonization, Lack of data decentralization
1
Information dissemination need to be improved on by use of common media at local governments
1
Information regarding Health and Education statistics should regularly be communicated to people. Trend analysis should be given much attention
1
Internet survey, Supervision in data collection
1
It is better to improve the free access of data on NISR website for all users and improving the system of dissemination of those data.
1
It is better to include all indicators missed and how needed at lacal level
1
It is better to let people know wherethey easily find others statististics because some of them don't know
1
It might be necessary to cover all sectors of activity in order to disseminate all informations needed by stakeholders (industry, employment, ...)
1
It would be better to put these information in 3 languages that are used in Rwanda, It is better to publish these data in media
1
Keep updating data on food security and vulnerability analysis
1
Kindly make the questions short and currently we do not have production figures
1
Kindly provide accurate and timely data especially social protection data. If possible data could be disagreggated,it would be great.
1
Lack of disaggregated agriculture sector performance data
1
Lack of metadata related to some indicators for sector policy (eg:for stata3 in agriculture)
1
Language used in dissemination,Integrity,Easy accessibility
1
Make data available and keep on updating to avoid obsoleteness of information that can be used in an incorrect manner
1
1
Make the NISR website more user friendly
1
Many statistical studies tend to be focused on perceptions, it wold be useful to focus as well on factual information
1
Methodology and timing
1
More communication and awareness is needed
1
More effort on sex disaggregated data in all sectors by age distributions, Hence more componsions need with other countries mostly EAC member staff
1
More sensitization and publications on websites and media should be recommended for emphasis
1
Movements statistics, Tourist travel statistics. NISR would need to collaborate with agencies to develop proper formula to serve the development.
1
My suggestion when you are collecting any statistical data try to reach as many people as possible
1
NISR can do something on this issuue: We need data on Rwandan diaspora, level of their education and field of education specialisation.
1
NISR does a great job congratulations! I would appreciate IMF and WB had more data on their webpages as well RBD on their investments.
1
NISR has to improve in analysis and writting skills for its reports now tha producing statistics is mastered by the institution
1
NISR is among the most professional, reliable and responsive partners I work with.
1
NISR is going well, I hope in few years we can get a lot of good information through NISR website. Thank you
1
NISR is still covering a narrow scope of the need data in Rwanda and for the region to support Rwandans and government officials in their duties.
1
NISR is working better but NISR must improve its building and open other branches in districts or sectors
1
NISR should find a method of controlling staff in charge of statistics in different institutions and increase their capacities
1
NISR should have "push" strategy: Identify stakeholders and their needs then send them proactively new reports as they become available.
1
NISR should have a reasonable period to capture other new information for the reliability purpose and increase the awarenessof the studies
1
NISR should improve in areas of making its statistics known by sensitising the public to regularly consult their website.
1
NISR should improve its views other research pieces done by other agencies. In particular the process of approving findings from other agencies
1
NISR should link up strongly with RAB M&E so that to have harmonized statistics and clear collaboration
1
NISR should provide some information of how to use official statistics in some areas as: Education,Research,etc.
1
NISR should provide the data which can help district for example, If NISR publishes the data itcan provide data at least at cell level
1
NISR should put all information on its website.
1
NISR should try to indicate technics,formulas, and methods used to arrive at certain official statistics
1
NISR should try to provide feedback to claims
1
National agriculture survey, Public expenditure review
1
Need data on agriculture production cost, Yield and wealth groups relation,Causal analysis of poor yields malnutrition
1
Need improvement internet access to publish document on time, to disseminate in central governement and differents research institutions
1
Need to improve administrative data, Provide the budget of statisticians activities in local government, Improve civil registration process
1
Need to improve data calendar,information dissemination strategies, Data storage facilities like libraries need to be evenly distributed in Rural
1
No clarity in methodology used to come up with data, Official reports take long to be uploaded on relevant websites
1
No data at the cell and sector level
1
Objectivity and therefore accuracy of data still need improvements
1
Obviously the statistics on poverty reduction are bias, The statistics about public finance, monitoring and financial statistics are difficult to get
1
Official statistics should be regularly updated (on semester basis where possible if not on an annual basis).
1
On economic growth, each sector should know what exactly to contribute to the growth
1
Online services are good but more paper information should be put in place in a centralised place,easy to access for those who do not access internet
1
Partners need more flexibility fron NISR, Try and release data on time and data should disagreggated at sub national levels and gender
1
People should be aware of the use of NISR services, with using TV and Radio chanels to let people be aware of their services.
1
Please we are not aware about crow using datas from statisics, can you advise how can we be involved in this important process. It will give knowlegde
1
Private investments data of actual nature, Broken down by sectoR,country,size,etc
1
Provide alternatives of data access channels, Make it easy to access data set/Raw data
1
Provide budget to districts for statistics
1
Provide data at sector,cell and village level, Disaggregated data by sex, Working closely with district, Updating data like population every year
1
Provide data from sector,cell and village to improve planning, Data collection at all administrative entities and work closely
1
Provide more training to district statisticians, More study outside the country to statistical analysis (statisticians)
1
Provide skills for surveys in local government
1
Public has not enough information on which data are available. There is need for INSR to keep public informed on its research activities planned
1
Publication is still low and how people will know NISR took research without communicating stakeholders and publications could reach to all sectors
1
Publish dissemination calendar (activities), Decentralization of official statistics, Using printing place.
1
Put aall available stattistics on the website, Expire areas which most lack statistics in Rwanda, Improve accuracy, Improve frequency of publication
1
Put more effort to make forecast of the official statistics,Put more effort to produce more informative employment statistics.
1
Quality of data is the most need for the official statistics, Accuracy af the data should be improved
1
Reduction des dates de publication des statistiques oficielles envue de les rendre disponoble a temps opportun
1
Regularity for external trade statistics and improve disaggregation
1
Regularity of providing statistics sometimes it takes time to have updated data. How the NISR can be subsidy independent on conducting surveys.
1
Regularly publish statistical data if possible world wide at the continent level and national level
1
Sampling: Increase the number of sample for a best recommendations and conclusion, Fixing the period of publishing,collaboration with academic areas
1
Set in place mechanisms to make sure that the existing official are taken into accounts when decision are taken at all levels, Devlop multiuser report
1
Simplify the procedures for the request for a visa
1
Sometimes we are asked to write an official letter to the head of NISR to get statistics (timer consuming,not accepted request)
1
Specify calendar dissemination's activities,Make the website clearly for all users of official stat,Make official stat available through pressprinting
1
Statistics may be done at grassroot level and on specific areas and domains
1
Statistics need to go closer and closer to the reality
1
Statistics of human capital in Rwanda whether working within Rwanda or outside Rwanda, Statistics related to employment status, Rwandans working
1
Statistics should be shared and easy to access and it is advisable if they are commented on (easy to understand) and interpreted
1
The NISR do not coordinate the collection of the statistics of other organisations, they must be involved in all type of data collection in Rwanda
1
The NISR may include a space on its website where we can access international statistic on specific topics like health,economy,education,agriculture
1
The NISR must produce demographic statistics up to cell level as census, Improve administrative statistics.
1
The NISR should improve awareness of how you can access on official statistics, Improvement in awareness of the role of using official statistics
1
The NISR should strive to disseminate its data at a bigger scale
1
The areas of improvement on: employment statistics,public finance statistics,price statistics and business statistics
1
The availability of official statistics could be published using all media and alectronically
1
The dissemination of national statistics has to be improved and consequenthly their level of use will also be improved.
1
The frequencies of data produced should be low
1
The search orgine could be improved. The definitions and rates for BNR publications could be improved.
1
There are some areas that need improvements ie GDP should include Adjusted Net Saving data also environnement and natural capital statistics.
1
There are some official statistics that we don't know where can be found, We are asking ti NISR to make trainings on microdata and NADA
1
There has to be a clear distinction of the roles and process between a survey VISA and the national ethics committee approval.
1
There is a need of improvement in agriculture and livestock subsectors,mainly on the mothodology so that the data can be trusted.
1
There is a need to collect more data on employment and creation of productive employment. Looking forward to EICV4
1
There is a need to gp down to provide distegrated data down to micro level and provide other data.
1
There is a need to make administrative statistics dynamic and systematic
1
There is a room on accessing the information regarding or relating to justice sector except some few information from RGB
1
There is need to have a harmonized procedure of publication of official statistics. Sometimes NISR makes publications of different data on same aspect
1
There is room for improvement on the demographic statistics aspecially on updating new information and how often it is updated.
1
There should be more monthly statistics,publications and projections. Try to emulate the US Bureau of labor and statistics.
1
There should be short term statistics, There should be entire service not position at decentralised entities/provinces and district
1
There's a need to improve on the way disagreggated data can be produced,compiled and shared, Engage with stakaholders sectors and benefit to advitise
1
This is time to think about administrative data because all activities in different districts require baseline which are specifically for RONDEREZA
1
Though methodological wise, there is need of producing data of need. May be an assessment of public needs would help much identifying other needed.
1
Timelines, Increase accuracy
1
Timeliness of dissemination should be addressed and train people or agencies how access to these statistics is curries out
1
Timely provision of statistics is needed in general and NISR should provide for a window of all needed statistics of key sectors in Rwanda
1
To explain the questionnaire to the respondent with sufficient time before filling it
1
To make guide of how to put data on websites,To advertise their activities.
1
To moderate data quality such as reliability,accurare,confidentiality,etc in order to help researchers Improve data from micro data to macro data.
1
To put as many information/date on website and make it easily reachable
1
To take a big sample so that data be more accurate, To provide more information on employment in the country, NISR must publish infos from all service
1
Trade statistics, Population census data on website at variance with other sources, Tourism statistics
1
Training of public servants to know how to access official statistics from/via website
1
Transparency international, RNP, corruption perception index, Rwanda Bribery Report, East African Bribery Report
1
Try to involve all key stakeholders in official statistics productio, Train stakeholders on on data processing and analysis
1
Update people on user of statistics at time,Have afixed activities of the year,Publish them in different ways:press printing,radio,etc.
1
Use two languages of the questions and publications. I was in health insurance but now I'm in reproductive health. Data from central to cell level.
1
We need data published by NISR to be decentralised (Published up to cell level so that district can be use data in planning)
1
We need information regarding Justice and good governance, Normally I do not visit the website of NISR because I can't get information I need.
1
We need more improvement in dissemination of data produced by our national specialized institutions
1
We need that disaster related statistics to be also captured to show how population are vulnerable or at risk.
1
We need to have data related to the city like people who have access to paved roads and who have permenant jobs.
1
Weakness on the information put on the website, It appear with papers that are limited, Not all document put on the website
1
Website of NISR provide old informations
1
When we prepare the planning document we use both and complementally the official statistics and administrative or districts statistics
1
While the NISR is conducting the DHS why don't you includeing nutritionists for the part redarding nutrition (Malnutrition) surveys?
1
You have to improve the way you disseminate the report, Try to work with institutions to encourage to use official statistics
1
calculation of GDP using income approach, More surveys on SMEs including Co-operatives
1
calendar for dissemination, CD accessibility
1
publications should provided for non user of internet
1
some details of needed statistics locking
1
to ensure data, Rwanda can have one database of all statistics for easy accessibility for all.
1
Are you female or male?
393
35
1
male
314
2
female
79
Sysmiss
35
When were you born?
359
69
1952
1993
1974.666
8.747
What is your area of specialization (studies)?
394
34
1
Economics
160
2
Arts, social sciences
128
3
Medical/health sciences
10
4
Agriculture/Animal sciences
21
5
Fundamental/Applied Sciences
58
6
Other
17
Sysmiss
34
Other area of specialization
29
0
Agriculture or animal sciences
1
Agriculture or animal scinces
1
Applied sciences to forest management
1
Arts
1
Chlid Rights Programming
1
Civil egineering
1
Development studies
1
Educationalist
1
Epidemiology
1
Fundamental Applied scinces
1
Fundamental or applied sciences
1
Geography
1
Global business and sustainability
1
Human settlements,planning and development (Urbanisation)
1
IANSEA
1
Journalism and communication
3
Mathematics,Physics with education
1
Medical sciences/health sciences
1
Microfinance spacialist
1
Public administration
3
Statistics
1
Surveying
1
Theology
1
Urban development and planning
1
statistics with computer applications
1
What is your highest level of education
391
37
1
PhD or Equivalent
14
2
Master's degree or Post-graduate diploma
202
3
Bachelor Degree or Undergraduate diploma
174
4
Secondary School level
0
5
Other studies
1
Sysmiss
37
Specify other studies
2
0
Gender expert
1
Proffessional accountant
1