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reliefweb:001583
19
0
data in this section
490
510
vague
vague
other
Based on the ⟦data in this section⟧[15], refugees not only invest less of their budget
true
null
reliefweb:001583
20
1
Ugandan sample of experiences of war
1,272
1,308
descriptive
descriptive
other
No mention was made by the ⟦Ugandan sample of experiences of war⟧[16] relating to the 1980s conflict
false
null
reliefweb:001583
22
1
wealth index
1,421
1,433
descriptive
vague
other
This point is supported by evidence found in the ⟦wealth index⟧[17]
false
null
reliefweb:001583
27
0
Quantitative data
1,475
1,492
vague
vague
other
⟦Quantitative data⟧[18] seems to suggest that refugee status matters
true
null
reliefweb:001583
27
1
budget survey
1,242
1,255
descriptive
descriptive
survey
both spread their investments evenly across items on the ⟦budget survey⟧[19]
true
null
reliefweb:001583
5
0
quantitative data
1,897
1,914
vague
vague
other
The first phase focused on the collection of ⟦quantitative data⟧[20] and the second on qualitative
true
null
reliefweb:001583
5
1
quantitative data
1
18
vague
vague
other
⟦quantitative data⟧[21] and the second on qualitative
true
null
reliefweb:001583
6
1
2009 Household Survey
723
744
named
named
survey
The concept for a budget survey emerged after reviewing Uganda’s ⟦2009 Household Survey⟧[22] (2009)
true
null
reliefweb:001583
6
1
abbreviated household budget survey
780
815
descriptive
descriptive
survey
The study sought to use an ⟦abbreviated household budget survey⟧[23] to undercover relationships between refugee status and socioeconomic behaviour
true
null
reliefweb:001583
7
0
biographical information
1,662
1,686
descriptive
vague
other
the ⟦biographical information⟧[24] was collected from each of the participants
true
null
reliefweb:001583
8
0
Biographical data from 140 participant surveys
183
229
descriptive
descriptive
survey
⟦Biographical data from 140 participant surveys⟧[25] is used to compare the demographic characteristics of both samples
true
null
reliefweb:001583
8
0
qualitative data
492
508
vague
vague
other
Next, ⟦qualitative data⟧[26] will present participants’ conceptions of the ten items in the budget experiment
true
null
reliefweb:001583
8
0
quantitative data
691
708
vague
vague
other
⟦quantitative data⟧[27] is presented
true
null
reliefweb:001584
0
0
HIV behavioural surveillance surveys
51
87
descriptive
descriptive
survey
⟦HIV behavioural surveillance surveys⟧[28] in conflict and post-conflict situations
true
null
reliefweb:001584
0
0
BSS survey
2,000
2,010
descriptive
descriptive
other
should proceed with a ⟦BSS survey⟧[29] once the design and plan for execution has been prepared
false
null
reliefweb:001584
0
1
BSS survey
175
185
descriptive
descriptive
survey
should proceed with a ⟦BSS survey⟧[1] once the design and plan for execution has been prepared
true
null
reliefweb:001584
0
1
behavioural surveillance survey
628
659
descriptive
descriptive
survey
Keywords: HIV, AIDS, ⟦behavioural surveillance survey⟧[2], humanitarian emergency
true
null
reliefweb:001584
1
0
knowledge-attitudes-practice surveys
151
187
descriptive
descriptive
survey
an evolution from the ⟦knowledge-attitudes-practice surveys⟧[3] (KAPs)
true
null
reliefweb:001584
2
0
HIV behavioural surveillance surveys
0
36
descriptive
descriptive
survey
⟦HIV behavioural surveillance surveys⟧[4] 149
true
null
reliefweb:001584
2
1
UNGASS indicators
846
863
named
named
other
prior to the ⟦UNGASS indicators⟧[5] in 2002
false
null
reliefweb:001584
3
0
KAP survey
267
277
named
descriptive
survey
its predecessor, the ⟦KAP survey⟧[6], undertaken in conflict and post-conflict situations
true
null
reliefweb:001584
3
0
reproductive health KAP surveys
767
798
descriptive
descriptive
survey
We collected all available HIV BSSs and ⟦reproductive health KAP surveys⟧[7] with an HIV component
true
null
reliefweb:001584
3
1
EpiInfo 3.2.2
547
560
named
named
database
entered into an ⟦EpiInfo 3.2.2⟧[8] (CDC, Atlanta, GA; version 4/26/2004) database
true
null
reliefweb:001584
4
0
HIV behavioural surveillance surveys
0
36
descriptive
descriptive
survey
⟦HIV behavioural surveillance surveys⟧[9] 151
true
null
reliefweb:001584
5
0
study data
802
812
vague
vague
other
recommendations based on ⟦study data⟧[10]
true
null
reliefweb:001584
5
1
study data
61
71
vague
vague
other
recommendations based on ⟦study data⟧[11]
true
null
reliefweb:001584
6
0
HIV behavioural surveillance surveys
0
36
descriptive
descriptive
survey
⟦HIV behavioural surveillance surveys⟧[12] 153
true
null
reliefweb:001584
7
0
HIV indicators
1,836
1,850
descriptive
descriptive
other
variation of the internationallyaccepted ⟦HIV indicators⟧[13] for knowledge
false
null
reliefweb:001584
7
1
reproductive health KAP surveys
538
569
descriptive
descriptive
survey
not just BSSs but ⟦reproductive health KAP surveys⟧[14] with an HIV component
true
null
reliefweb:001584
7
1
UNGASS indicators
901
918
named
named
other
the internationally accepted ⟦UNGASS indicators⟧[15] were developed
false
null
reliefweb:001584
8
0
HIV behavioural surveillance surveys
0
36
descriptive
descriptive
survey
⟦HIV behavioural surveillance surveys⟧[16] 155
true
null
reliefweb:001584
8
0
HIV/AIDS data
626
639
vague
vague
other
BSSs collect crucial ⟦HIV/AIDS data⟧[17] to inform local and national interventions
true
null
reliefweb:001584
8
1
demographic and health surveys
469
499
descriptive
descriptive
survey
e.g. ⟦demographic and health surveys⟧[18] with an HIV component
true
null
reliefweb:001585
12
0
2021 Multi-Cluster Needs Assessment
843
878
named
named
survey
based on the ⟦2021 Multi-Cluster Needs Assessment⟧[19]
true
null
reliefweb:001585
16
0
protection monitoring findings
1,474
1,504
descriptive
descriptive
other
UNHCR’s ⟦protection monitoring findings⟧[20] covering the second quarter of 2022 show that 96% of Syrian refugee families are food insecure
true
null
reliefweb:001585
16
2
registration files
31
49
descriptive
descriptive
administrative
individuals due to have their ⟦registration files⟧[21] renewed
true
null
reliefweb:001588
10
0
civil registry
1,221
1,235
descriptive
descriptive
administrative
the ⟦civil registry⟧[22] specifically makes record of the fact that they are single mothers
true
null
reliefweb:001589
10
0
census data
384
395
descriptive
descriptive
census
a lack of documentation and little or no accurate ⟦census data⟧[23]
true
null
reliefweb:001589
15
0
2004 assessment in Khartoum IDP camps
514
551
descriptive
named
report
a ⟦2004 assessment in Khartoum IDP camps⟧[24] indicated that only 39% of the heads of households had a regular source of income
true
null
reliefweb:001589
3
1
Official records
347
363
descriptive
descriptive
administrative
⟦Official records⟧[25] may in theory provide guidance in demarcating an urban area
true
null
reliefweb:001590
3
0
Individual biometric registration
37
70
descriptive
descriptive
administrative
#### **⟦Individual biometric registration⟧[26] (Gaga camp)**
true
null
reliefweb:001590
3
1
_Project 21_ survey
1,768
1,787
named
named
survey
A ⟦_Project 21_ survey⟧[27] highlighted that 63% of interviewed households expressed that they feel unsafe
true
null
reliefweb:001590
4
0
_Project 21_ monitoring system
1,898
1,928
named
named
system
According to the ⟦_Project 21_ monitoring system⟧[28], 22% of households reported not having any documents
true
null
reliefweb:001590
4
1
_Project 21_ monitoring system
163
193
named
named
system
According to the ⟦_Project 21_ monitoring system⟧[1], 22% of households reported not having any documents
true
null
reliefweb:001592
10
0
budget survey
1,005
1,018
descriptive
descriptive
survey
Conceptions of the ten items on the ⟦budget survey⟧[2] are summarized below.
true
null
reliefweb:001592
12
1
budget survey
739
752
descriptive
descriptive
survey
When asked what the most important item was on the ⟦budget survey⟧[3], about half of participants stated that agriculture and livestock were the most important.
true
null
reliefweb:001592
14
0
budget survey
1,864
1,877
descriptive
descriptive
survey
Using evidence from the ⟦budget survey⟧[4], the study considers the quantity of investments made in each item
true
null
reliefweb:001592
17
1
Qualitative data
904
920
vague
vague
other
⟦Qualitative data⟧[5] will be used to uncover the significance of these differences in the next sub-section.
true
null
reliefweb:001592
18
1
quantitative data
1,526
1,543
vague
vague
other
there appear to be three points that the ⟦quantitative data⟧[6] suggests:
true
null
reliefweb:001592
18
1
budget survey
1,715
1,728
descriptive
descriptive
survey
On average, refugees allocated money to 95.4% of the items of the ⟦budget survey⟧[7]
true
null
reliefweb:001592
18
2
budget survey
8
21
descriptive
descriptive
survey
of the ⟦budget survey⟧[8], while nationals allocated money to only 68% of the items.
true
null
reliefweb:001592
19
0
data in this section
490
510
vague
vague
other
Based on the ⟦data in this section⟧[9], refugees not only invest less of their budget on these three items
false
null
reliefweb:001592
20
1
Ugandan sample of experiences of war
1,272
1,308
descriptive
descriptive
other
No mention was made by the ⟦Ugandan sample of experiences of war⟧[10] relating to the 1980s conflict.
false
null
reliefweb:001592
22
1
wealth index
1,421
1,433
descriptive
vague
other
This point is supported by evidence found in the ⟦wealth index⟧[11].
false
null
reliefweb:001592
27
0
Quantitative data
1,475
1,492
vague
vague
other
⟦Quantitative data⟧[12] seems to suggest that refugee status matters.
true
null
reliefweb:001592
27
1
budget survey
1,242
1,255
descriptive
descriptive
survey
both spread their investments evenly across items on the ⟦budget survey⟧[13]
true
null
reliefweb:001592
5
0
quantitative data
1,897
1,914
vague
vague
other
the first phase focused on the collection of ⟦quantitative data⟧[14]
true
null
reliefweb:001592
5
1
quantitative data
1
18
vague
vague
other
⟦quantitative data⟧[15] and the second on qualitative.
true
null
reliefweb:001592
6
1
2009 Household Survey
723
744
named
named
survey
after reviewing Uganda’s ⟦2009 Household Survey⟧[16] (2009).
true
null
reliefweb:001592
6
1
abbreviated household budget survey
780
815
descriptive
descriptive
survey
The study sought to use an ⟦abbreviated household budget survey⟧[17] to undercover relationships between refugee status and socioeconomic behaviour.
true
null
reliefweb:001592
7
0
biographical information
1,662
1,686
descriptive
vague
other
⟦biographical information⟧[18] was collected from each of the participants.
true
null
reliefweb:001592
8
0
Biographical data from 140 participant surveys
183
229
descriptive
descriptive
survey
⟦Biographical data from 140 participant surveys⟧[19] is used to compare the demographic characteristics of both samples.
true
null
reliefweb:001592
8
0
qualitative data
492
508
vague
vague
other
Next, ⟦qualitative data⟧[20] will present participants’ conceptions of the ten items in the budget experiment.
true
null
reliefweb:001592
8
0
quantitative data
691
708
vague
vague
other
In the second part of the empirical chapter, ⟦quantitative data⟧[21] is presented.
true
null
reliefweb:001594
10
4
World Survey of Laws
1,307
1,327
named
named
other
International Lesbian, Gay, Bisexual, Trans, and Intersex Association, State-sponsored Homophobia: A ⟦World Survey of Laws⟧[22]: Criminalisation, Protection and Recognition of Same-Sex Love, 2015.
false
null
reliefweb:001594
22
0
data on asylum claims related to SOGI
182
219
descriptive
descriptive
administrative
This section discusses RSD procedures, the collection and recording of ⟦asylum data⟧[24] related to SOGI
true
null
reliefweb:001594
22
1
asylum data
1,632
1,643
vague
vague
administrative
###### 5.2 COLLECTION AND RECORDING OF ⟦ASYLUM DATA⟧[25]
true
null
reliefweb:001594
22
2
ASYLUM DATA
348
359
vague
descriptive
administrative
reported having access to ⟦government data⟧[26] on SOGI-based asylum claims.
true
null
reliefweb:001594
22
3
government data
1,381
1,396
descriptive
vague
other
The ⟦data in this graph⟧[27] reflects only participating country operations.
true
null
reliefweb:001594
22
5
data in this graph
1,615
1,633
vague
vague
other
The data for the types of RSD procedures in all countries globally varies by ±10% per RSD type from the ⟦data presented in this graph⟧[28]
true
null
reliefweb:001594
22
5
data presented in this graph
1,786
1,814
vague
vague
other
The data for the types of RSD procedures in all countries globally varies by ±10% per RSD type from the ⟦data presented in this graph⟧[28]
true
null
reliefweb:001594
22
6
data presented in this graph
47
75
vague
vague
other
from the ⟦data presented in this graph⟧[1]
true
null
reliefweb:001594
31
3
data disclosed in the assessment
1,633
1,665
vague
vague
other
the data disclosed in the assessment
true
null
reliefweb:001594
32
0
data on asylum claims
879
900
descriptive
descriptive
other
systematically collect ⟦data on asylum claims⟧[3]
true
null
reliefweb:001594
5
2
data on asylum claims related to SOGI
729
766
descriptive
descriptive
other
challenges in accessing ⟦data on asylum claims related to SOGI⟧[4]
true
null
reliefweb:001594
8
0
Statistical Online Population Database
2,274
2,312
named
named
database
Following UNHCR’s ⟦Statistical Online Population Database⟧[5], 2013
true
null
reliefweb:001594
8
1
Statistical Online Population Database
258
296
named
named
database
Following UNHCR’s ⟦Statistical Online Population Database⟧[6], 2013
true
null
reliefweb:001595
2
0
Empirical data
1,309
1,323
vague
vague
other
⟦Empirical data⟧[7] emerging from these ongoing decentralisation experiences shows
true
null
reliefweb:001595
2
0
empirical data
1,527
1,541
vague
vague
other
Emerging ⟦empirical data⟧[8] are both providing a more robust discussion
true
null
reliefweb:001595
6
1
Site log
872
880
descriptive
named
other
(⟦Site log⟧[9], 2000)
true
null
reliefweb:001595
8
0
economic patterns of refugees in Loulouni
1,551
1,592
descriptive
descriptive
other
The ⟦economic patterns of refugees in Loulouni⟧[10] are in many ways accurate indicators
false
null
reliefweb:001597
2
0
registered idPs
1,464
1,479
descriptive
descriptive
other
there were 85,000 ⟦registered idPs⟧[11]
false
null
reliefweb:001597
2
1
disaggregated data on idPs
455
481
descriptive
descriptive
survey
piloted and supported a substantial camp profiling exercise in March 2013, to gather baseline ⟦disaggregated data on idPs⟧[12]
true
null
reliefweb:001597
3
1
government data
1,602
1,617
descriptive
descriptive
administrative
used and triangulated ⟦government data⟧[13] to coordinate the shelter response
true
null
reliefweb:001597
3
2
government data
219
234
descriptive
descriptive
administrative
used and triangulated ⟦government data⟧[14] to coordinate the shelter response
true
null
reliefweb:001599
5
0
Protection monitoring data
1,194
1,220
descriptive
descriptive
other
⟦Protection monitoring data⟧[15] and information obtained in this Protection Analysis Update is limited
true
null
reliefweb:001600
0
2
land cadaster
659
672
descriptive
descriptive
administrative
Ukraine’s complete development of a ⟦land cadaster⟧[16]
true
null
reliefweb:001600
4
1
land and property inventory
1,095
1,122
descriptive
descriptive
database
a lack of electronic and complete ⟦land and property inventory⟧[17]
true
null
reliefweb:001604
1
0
ARRIVALS IN 2017
9
25
descriptive
vague
other
⟦ARRIVALS IN 2017⟧[18]
false
null
reliefweb:001604
1
5
2017 data
695
704
vague
vague
other
⟦2017 data⟧[19]
true
null
reliefweb:001604
6
0
data from the Italian Maritime Rescue Coordination Centre
1,212
1,269
named
descriptive
administrative
According to ⟦data from the Italian Maritime Rescue Coordination Centre⟧[20], NGOs were able to rescue 46,600
true
null
reliefweb:001604
7
1
IOM surveys
389
400
named
descriptive
survey
⟦IOM surveys⟧[21] of over 4,700 refugees and migrants in Italy
true
null
reliefweb:001604
7
2
human trafficking and other exploitative practices indication survey
206
274
named
named
survey
IOM, _Flow monitoring surveys: The ⟦human trafficking and other exploitative practices indication survey⟧[22],_ November 2017
true
null
reliefweb:001604
8
3
statistics provided by the Greek Asylum Service
915
962
descriptive
descriptive
administrative
⟦statistics provided by the Greek Asylum Service⟧[23] note that over 7,200 requests
true
null
reliefweb:001604
9
2
Italian Coast Guard data
466
490
named
descriptive
administrative
Based on ⟦Italian Coast Guard data⟧[24].
true
null
reliefweb:001605
1
1
proGres v4
1,441
1,451
named
named
system
Data Sources: ⟦proGres v4⟧[25] (PRIMES) hosts the data
true
null
reliefweb:001605
1
1
data of refugees and asylum-seekers
1,471
1,506
descriptive
descriptive
other
hosts the ⟦data of refugees and asylum-seekers⟧[26] in 11 countries
true
null
reliefweb:001605
1
1
IDP data
1,662
1,670
vague
descriptive
other
For ⟦IDP data⟧[27], the source of DRC’s IDP figure is the OCHA
true
null
reliefweb:001605
1
1
Displacement Tracking Matrix
1,763
1,791
named
named
system
the sources in Mozambique and Zimbabwe are the ⟦Displacement Tracking Matrix⟧[28]
true
null
reliefweb:001605
1
2
Displacement Tracking Matrix
202
230
named
named
system
the sources in Mozambique and Zimbabwe are the ⟦Displacement Tracking Matrix⟧[29] (DTM) of the IOM
true
null