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reliefweb:000137
21
1
identification data
916
935
descriptive
vague
other
The ⟦identification data⟧ must include inter alia the customer’s full name
false
null
reliefweb:000137
22
0
2019 GSMA Mobile Connectivity Index
29
64
named
named
indicator
The ⟦2019 GSMA Mobile Connectivity Index⟧ shows a 78 per cent penetration for mobile connections.
true
null
reliefweb:000137
23
0
Refugee Population Statistics Database
360
398
named
named
database
Updates to the operational context and registration data set forth in those reports can be found on UNHCR’s Global Focus platform and ⟦Refugee Population Statistics Database⟧.
true
null
reliefweb:000137
23
3
GSMA Mobile Money Regulatory Index
1,081
1,115
named
named
indicator
Ethiopia’s index score on the ⟦GSMA Mobile Money Regulatory Index⟧ increased significantly
true
null
reliefweb:000137
24
1
national population registry
780
808
descriptive
descriptive
administrative
NIDA enrolled biometrics (fingerprint and picture) for an additional 11,300 refugees in the ⟦national population registry⟧.
true
null
reliefweb:000137
24
2
NIDA statistics
1,225
1,240
named
named
administrative
According to ⟦NIDA statistics⟧ a total of 197,050 PoCs have been registered
true
null
reliefweb:000137
25
1
ProGres v4 database
352
371
named
named
database
secondary identity verification against UNHCR’s ⟦ProGres v4 database⟧
true
null
reliefweb:000137
25
1
mobile money customer account registry
1,798
1,836
descriptive
descriptive
administrative
the storage of documents shall be in the ⟦mobile money customer account registry⟧ applying Know Your Customer/Customer Due Diligence control
true
null
reliefweb:000137
25
2
mobile money customer account registry
225
263
descriptive
descriptive
administrative
the storage of documents shall be in the ⟦mobile money customer account registry⟧ applying Know Your Customer/Customer Due Diligence control.
true
null
reliefweb:000137
26
0
2019 Displaced and Disconnected country reports
98
145
named
named
report
The ⟦2019 Displaced and Disconnected country reports⟧ can be read and downloaded on the links below
true
null
reliefweb:000137
27
1
Operational Data Portal: Regional View
970
1,008
named
named
system
UNHCR, ⟦Operational Data Portal: Regional View⟧, https://data.unhcr.org/en/situations/rbehagl
true
null
reliefweb:000137
27
9
GSMA Mobile Money Regulatory Index score
198
238
named
named
other
Kenya’s ⟦GSMA Mobile Money Regulatory Index score⟧ has increased from 79.24 to 85 in 2020
false
null
reliefweb:000137
28
4
ICT Regulatory Tracker
188
210
named
named
system
⟦ICT Regulatory Tracker⟧, https://app.gen5.digital/tracker/metrics
true
null
reliefweb:000137
28
4
Mobile Money Metrics Regulatory Index
304
341
named
named
indicator
GSMA, ⟦Mobile Money Metrics Regulatory Index⟧, https://www.gsma.com/mobilemoneymetrics/#regulatory-index
true
null
reliefweb:000137
28
5
UNHCR Data Portal
299
316
named
named
system
⟦UNHCR Data Portal⟧, https://data2.unhcr.org/en/country/som
true
null
reliefweb:000137
29
5
ICT Regulatory Tracker
766
788
named
named
system
⟦ICT Regulatory Tracker⟧, https://app.gen5.digital/tracker/metrics
true
null
reliefweb:000137
29
5
Mobile Money Metrics Regulatory Index
872
909
named
named
indicator
GSMA, ⟦Mobile Money Metrics Regulatory Index⟧, https://www.gsma.com/mobilemoneymetrics/#regulatory-index
true
null
reliefweb:000137
29
6
World Bank Mobile Money Ecosystem Survey
727
767
named
named
survey
[hereinafter ⟦World Bank Mobile Money Ecosystem Survey⟧[27]]
true
null
reliefweb:000137
29
7
GSMA Mobile Connectivity Index
236
266
named
named
indicator
⟦GSMA Mobile Connectivity Index⟧[1], https://www.mobileconnectivityindex.com/#year=2019&zoneIsocode=SDN,SSD (showing 20 per cent penetration for mobile connections)
true
null
reliefweb:000137
29
7
World Bank Mobile Money Ecosystem Survey
422
462
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[2], para. 35
true
null
reliefweb:000137
29
7
World Bank Mobile Money Ecosystem Survey
715
755
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[3], para. 68 (noting that “[e]vidence suggests that there is significant interest for mobile money services among the South Sudanese population)
true
null
reliefweb:000137
29
7
Refugee and Asylum Seeker Population Map
934
974
named
named
geospatial
UNHCR, South Sudan: ⟦Refugee and Asylum Seeker Population Map⟧[4], 31 May 2022
true
null
reliefweb:000137
29
7
South Sudan Population Dashboard
1,160
1,192
named
named
system
UNHCR, ⟦South Sudan Population Dashboard⟧[5], 31 May 2022
true
null
reliefweb:000137
29
8
South Sudan Population Dashboard
52
84
named
named
system
UNHCR, ⟦South Sudan Population Dashboard⟧[6], 31 May 2022, https://reporting.unhcr.org/document/2740 (.7 per cent from Central African Republic, .2 per cent from Eritrea and .1 per cent from Burundi)
true
null
reliefweb:000137
29
8
Refugee and Asylum Seeker Population Map
406
446
named
named
geospatial
UNHCR, South Sudan: ⟦Refugee and Asylum Seeker Population Map⟧[7]
true
null
reliefweb:000137
29
8
World Bank Mobile Money Ecosystem Survey
1,179
1,219
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[8], para. __; Information provided by UNHCR country team
true
null
reliefweb:000137
29
9
World Bank Mobile Money Ecosystem Survey
62
102
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[9], para. __
true
null
reliefweb:000137
30
1
World Bank Mobile Money Ecosystem Survey
837
877
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[10], paras. 10 and 13 (noting that network coverage is “nearly absent in many rural areas”)
true
null
reliefweb:000137
30
2
World Bank Mobile Money Ecosystem Survey
288
328
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[11], para. 58
true
null
reliefweb:000137
30
3
World Bank Mobile Money Ecosystem Survey
216
256
named
named
survey
⟦World Bank Mobile Money Ecosystem Survey⟧[12], para. 51
true
null
reliefweb:000137
30
3
ICT Regulatory Tracker
1,048
1,070
named
named
system
⟦ICT Regulatory Tracker⟧[13], https://app.gen5.digital/tracker/metrics
true
null
reliefweb:000137
30
3
GSMA Mobile Money Metrics Regulatory Index
1,129
1,171
named
named
indicator
⟦GSMA Mobile Money Metrics Regulatory Index⟧[14], https://www.gsma.com/mobilemoneymetrics/#regulatory-index
true
null
reliefweb:000137
30
5
basic biodata
1,096
1,109
descriptive
descriptive
other
The IPP performs foundational registration by collecting ⟦basic biodata⟧[15] for all and biometrics (10 finger prints) for those 16 years and above
false
null
reliefweb:000137
30
7
KYC information
1,650
1,665
descriptive
descriptive
other
This also permits the bank to avoid reporting ⟦KYC information⟧[16] back to the Central Bank
false
null
reliefweb:000137
30
8
GSMA Mobile Connectivity Index
429
459
named
named
indicator
⟦GSMA Mobile Connectivity Index⟧[17], https://www.mobileconnectivityindex.com/#year=2019&zoneIsocode=SDN
true
null
reliefweb:000137
31
5
GSMA Mobile Money Metrics Regulatory Index
371
413
named
named
indicator
⟦GSMA Mobile Money Metrics Regulatory Index⟧[18], https://www.gsma.com/mobilemoneymetrics/#regulatory-index
true
null
reliefweb:000137
31
5
GSMA Mobile Money Regulatory Index
865
899
named
named
indicator
Kenya’s ⟦GSMA Mobile Money Regulatory Index⟧[19] score has increased – from 79.24 to 85 in 2020
true
null
reliefweb:000137
31
6
biometric data
733
747
descriptive
descriptive
other
updating information and verifying their physical presence in the country through ⟦biometric data⟧[20]
false
null
reliefweb:000137
5
1
primary data
1,995
2,007
vague
vague
other
The ⟦primary data⟧[21] collected does not serve as a representative set of data, but informs
true
null
reliefweb:000137
5
2
primary data
182
194
vague
vague
other
The ⟦primary data⟧[22] collected does not serve as a representative set of data, but informs, clarifies, and adds to the existing secondary material
true
null
reliefweb:000137
6
0
UNHCR internal survey
1,330
1,351
named
named
survey
A ⟦UNHCR internal survey⟧[23] from 2019 highlights that country legal frameworks are often not conducive to foster formalised access to employment
true
null
reliefweb:000137
7
1
social security records
768
791
descriptive
descriptive
administrative
The Circular provides a list of examples of accepted ID documents: a passport, identification card, residence permit, ⟦social security records⟧[24], or driver’s license
true
null
reliefweb:000138
15
1
current and reliable data
1,272
1,297
vague
vague
other
the study aims to collect and analyse ⟦current and reliable data⟧[25] in order to:
true
null
reliefweb:000138
22
1
immigration records
960
979
descriptive
descriptive
administrative
Section 56 of the Regulations specifies additional requirements including ⟦immigration records⟧[26] and resident ID
true
null
reliefweb:000138
22
2
FGD with male Falata in Aweil
732
761
descriptive
descriptive
other
⟦FGD with male Falata in Aweil⟧[27]; KII with Falata Community Leader in Aweil; KII with DNPI Staff in Juba
false
null
reliefweb:000138
26
0
FGDs
1,168
1,172
descriptive
descriptive
other
However, ⟦FGDs⟧[28] revealed very limited awareness of the possibility of appeal
false
null
reliefweb:000138
29
0
registration of births
1,651
1,673
descriptive
descriptive
other
⟦registration of births⟧[29] took place in Juba, Malakal
false
null
reliefweb:000138
29
2
South Sudan Household Survey
1,333
1,361
named
named
survey
National Bureau of Statistics (2010) ⟦South Sudan Household Survey⟧[30], p.35
true
null
reliefweb:000138
29
3
Household Survey
1
17
named
named
survey
⟦Household Survey⟧[1], p.35, available at: http://ssnbss.org/sites/default/files/2016-08/Sudan_ Household_Health_Survey_Report_2010.pdf
true
null
reliefweb:000138
34
0
FGDs
218
222
descriptive
vague
other
reported in only one of four ⟦FGDs⟧[2]
false
null
reliefweb:000138
34
1
birth registration
1,150
1,168
descriptive
vague
other
The country’s lack of ⟦birth registration⟧[3] is a further barrier to access to nationality documentation.
false
null
reliefweb:000138
39
0
FGDs
1,202
1,206
descriptive
vague
other
Figure 4. Basic Rights and Services Highlighted in ⟦FGDs⟧[4] as Dependent on Nationality Documentation
false
null
reliefweb:000138
39
1
FGDs and KIIs
677
690
descriptive
vague
other
> 143 ⟦FGDs and KIIs⟧[5] in Aweil, Renk, Nimule, and Juba.
false
null
reliefweb:000138
43
0
birth registration
1,807
1,825
descriptive
vague
other
Lack of ⟦birth registration⟧[6] complicates the issuance of nationality documentation
false
null
reliefweb:000138
49
0
South Sudan CRVS Country Report
882
913
named
named
report
National Bureau of Statistics (2012), “⟦South Sudan CRVS Country Report⟧[7]”, available at: http://docplayer.net/31355191South-sudan-crvs-country-report.html [Accessed 3/12/2017].
true
null
reliefweb:000138
49
0
South Sudan Household Survey
1,061
1,089
named
named
survey
National Bureau of Statistics (2010), “⟦South Sudan Household Survey⟧[8]”, available at: http:// ssnbss.org/sites/default/files/2016-08/ Sudan_Household_Health_Survey_ Report_2010.pdf [Accessed 3/12/2017].
true
null
reliefweb:000139
10
2
DRDSES
640
646
named
named
other
inform the UNHCR through the ⟦DRDSES⟧[9].
false
null
reliefweb:000139
14
0
matrice de suivi des déplacements
106
139
descriptive
descriptive
system
La ⟦matrice de suivi des déplacements⟧[10] a enregistré **402 167** personnes déplacées internes (PDI) à l’échelle nationale
true
null
reliefweb:000139
15
0
DTM Mali – Décembre 2024
0
24
named
named
report
⟦DTM Mali – Décembre 2024⟧[11]
true
null
reliefweb:000139
21
0
données démographiques
63
85
descriptive
descriptive
other
L’examen des ⟦données démographiques⟧[12] montre que la population active représente 58 pour cent des personnes des rapatriés.
true
null
reliefweb:000139
22
0
DTM Mali – Décembre 2024
0
24
named
named
report
⟦DTM Mali – Décembre 2024⟧[13]
true
null
reliefweb:000139
5
0
Displacement Tracking Matrix
308
336
named
named
system
|**DTM**|⟦Displacement Tracking Matrix⟧[14]|
true
null
reliefweb:000139
7
0
Displacement Tracking Matrix
1,055
1,083
named
named
system
Le transfert du programme matrice de suivi des déplacements DTM (⟦Displacement Tracking Matrix⟧[15]) au Gouvernement par l’OIM
true
null
reliefweb:000139
8
2
données aux points FMP
1,184
1,206
descriptive
descriptive
other
La collecte de ⟦données aux points FMP⟧[16] permet également d’identifier les personnes déplacées les plus vulnérables
true
null
reliefweb:000140
1
0
secondary data
72
86
vague
vague
other
The following trends analysis is put together on the basis of available ⟦secondary data⟧[17] at the time of publication.
true
null
reliefweb:000140
1
0
MHub Monthly Trend Bulletins
832
860
named
named
report
For updates on North Africa please consult ⟦MHub Monthly Trend Bulletins⟧[18] at:
true
null
reliefweb:000140
2
1
Monthly Trends Analysis West Africa
934
969
named
named
other
⟦Monthly Trends Analysis West Africa⟧[19] 3
false
null
reliefweb:000140
4
1
data from NRC and its partners in Mali
654
692
descriptive
descriptive
other
according to ⟦data from NRC and its partners in Mali⟧[20].
true
null
reliefweb:000140
6
1
Monthly Trends Analysis West Africa
1,074
1,109
named
named
other
⟦Monthly Trends Analysis West Africa⟧[21] 7
false
null
reliefweb:000141
10
0
SDG indicators
931
945
descriptive
descriptive
indicator
the ⟦SDG indicators⟧[22] normally apply to country level
true
null
reliefweb:000141
10
0
surveys of refugees
1,809
1,828
descriptive
descriptive
survey
These correspond to ⟦surveys of refugees⟧[23] in Germany, the United Kingdom and the United States.
true
null
reliefweb:000141
10
0
administrative data
1,992
2,011
descriptive
descriptive
administrative
sampling frames or ⟦administrative data⟧[24] that enable national
true
null
reliefweb:000141
10
1
surveys of refugees
76
95
descriptive
descriptive
survey
These correspond to ⟦surveys of refugees⟧[25] in Germany, the United Kingdom and the United States.
true
null
reliefweb:000141
10
1
administrative data
259
278
descriptive
descriptive
administrative
sampling frames or ⟦administrative data⟧[26] that enable national coverage.
true
null
reliefweb:000141
10
1
survey data
1,292
1,303
vague
descriptive
survey
The target population for a survey is the entire set of units for which the ⟦survey data⟧[27] are to be used to make inferences.
true
null
reliefweb:000141
11
0
DHS VII
510
517
named
named
survey
These include surveys in Jordan (⟦DHS VII⟧[28]), Iraq, and immigrant-focused studies in Canada and Norway.
true
null
reliefweb:000141
11
0
Jordan DHS VII
593
607
named
named
survey
In the case of ⟦Jordan DHS VII⟧[29], the survey includes a stratification for refugees
true
null
reliefweb:000141
11
1
data archives
751
764
vague
descriptive
database
to improve description of sampling designs, design effects and sampling weights in ⟦data archives⟧
true
null
reliefweb:000141
11
1
LSMS
865
869
named
named
survey
large-scale surveys that are part of well-established processes like ⟦LSMS⟧
true
null
reliefweb:000141
11
1
MICS
871
875
named
named
survey
large-scale surveys that are part of well-established processes like ⟦MICS⟧
true
null
reliefweb:000141
11
1
DHS
877
880
named
named
survey
large-scale surveys that are part of well-established processes like ⟦DHS⟧
true
null
reliefweb:000141
12
1
HFS
1,314
1,317
named
named
survey
which dataset the observation was from (⟦HFS⟧ or ⟦CRS⟧)
true
null
reliefweb:000141
12
1
CRS
1,321
1,324
named
named
survey
which dataset the observation was from (⟦HFS⟧ or ⟦CRS⟧)
true
null
reliefweb:000141
12
1
CRS
1,396
1,399
named
named
survey
all IDPs surveyed lived in camps/settlements covered by the ⟦CRS⟧
true
null
reliefweb:000141
12
2
CRS
60
63
named
named
survey
which dataset the observation was from (HFS or ⟦CRS⟧)
true
null
reliefweb:000141
12
2
CRS
135
138
named
named
survey
all IDPs surveyed lived in camps/settlements covered by the ⟦CRS⟧
true
null
reliefweb:000141
13
0
published dataset
1,324
1,341
descriptive
descriptive
database
estimate an SDG indicator from a ⟦published dataset⟧
true
null
reliefweb:000141
13
1
published dataset
78
95
descriptive
descriptive
database
estimate an SDG indicator from a ⟦published dataset⟧
true
null
reliefweb:000141
15
0
Data on refugees and asylum-seekers
1,587
1,622
descriptive
descriptive
administrative
⟦Data on refugees and asylum-seekers⟧ are typically collected for administrative not statistical purposes
true
null
reliefweb:000141
15
1
national surveys
506
522
descriptive
descriptive
survey
the result of self-reporting, and rarely coincide with recent recommendations such as those in the IRRS or the IRIS. — Estimates of FDPs’ satisfaction of immediate and ongoing needs were found and are regularly produced by agencies and government bodies that work with FDPs but they do not necessarily align with SDG ind...
true
null
reliefweb:000141
17
0
Population Census
1,052
1,069
descriptive
named
census
###### 3.1.1 ⟦Population Census⟧
true
null
reliefweb:000141
17
0
population censuses
1,187
1,206
descriptive
descriptive
census
While ⟦population censuses⟧ do not collect data that directly allows for the calculation of SDG indicators
true
null
reliefweb:000141
17
0
census figures
1,317
1,331
descriptive
descriptive
census
there is the potential to use ⟦census figures⟧ in the preparation of sampling frames for surveys
true
null
reliefweb:000141
17
0
census figures
1,556
1,570
descriptive
descriptive
census
events that affect FDPs between censuses may reduce the relevance of ⟦census figures⟧
true
null
reliefweb:000141
17
0
census data
1,749
1,760
descriptive
descriptive
census
We did not find examples of the use of ⟦census data⟧ for these purposes
true
null
reliefweb:000141
17
0
national census figures
1,997
2,020
descriptive
descriptive
census
FDPs are therefore excluded from some ⟦national census figures⟧
true
null
reliefweb:000141
17
1
national census figures
208
231
descriptive
descriptive
census
FDPs are therefore excluded from some ⟦national census figures⟧
true
null
reliefweb:000141
17
1
Administrative data sources
791
818
descriptive
descriptive
administrative
###### 3.1.2 ⟦Administrative data sources⟧
true
null
reliefweb:000141
17
1
administrative data sources
1,605
1,632
descriptive
descriptive
administrative
Even where effective ⟦administrative data sources⟧ are available
true
null
reliefweb:000141
18
0
Administrative data sources
574
601
descriptive
descriptive
administrative
⟦Administrative data sources⟧ that are used to generate statistics about the general population
true
null