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reliefweb:000061
42
1
Sistema de Alertas Tempranas
545
573
named
null
null
null
null
bad_json
reliefweb:000061
43
1
información institucional
632
657
descriptive
null
null
null
null
bad_json
reliefweb:000061
52
1
registro de niños y niñas
1,068
1,093
descriptive
null
null
null
null
bad_json
reliefweb:000061
9
1
Registro Único de Víctimas
1,075
1,101
named
null
null
null
null
bad_json
reliefweb:000062
4
1
données disponibles
162
181
vague
null
null
null
null
bad_json
reliefweb:000062
6
1
données du Suivi du financement des réfugiés
420
464
named
null
null
null
null
bad_json
reliefweb:000062
6
1
données fournies par le HCR directement
505
544
descriptive
null
null
null
null
bad_json
reliefweb:000062
6
1
données du FTS et du RFT
950
974
descriptive
null
null
null
null
bad_json
reliefweb:000063
1
0
Panorama Global Humanitario
765
792
named
null
null
null
null
bad_json
reliefweb:000063
6
1
datos del Servicio de Seguimiento Financiero
1,149
1,193
descriptive
null
null
null
null
bad_json
reliefweb:000065
0
0
système de monitoring de protection du HCR
178
221
descriptive
null
null
null
null
bad_json
reliefweb:000065
11
2
données de suivi de la protection
516
549
descriptive
null
null
null
null
bad_json
reliefweb:000065
8
3
Rapport mensuel de monitoring de protection Kasaï
486
535
named
null
null
null
null
bad_json
reliefweb:000066
10
0
monitoring de protection HCR
1,240
1,268
named
null
null
null
null
bad_json
reliefweb:000066
12
1
données VBG
654
665
descriptive
null
null
null
null
bad_json
reliefweb:000066
15
0
dashboard du CCCM
1,001
1,018
named
null
null
null
null
bad_json
reliefweb:000066
15
1
Stattistiques CMP/Tanganyika_mois
451
484
named
null
null
null
null
bad_json
reliefweb:000066
15
1
données MARA Q2 2024
1,150
1,170
named
null
null
null
null
bad_json
reliefweb:000066
15
2
données MRM
31
42
named
null
null
null
null
bad_json
reliefweb:000066
15
2
données MARA Q2 2024
46
66
named
null
null
null
null
bad_json
reliefweb:000066
15
3
système de monitoring de protection du HCR/Intersos
674
725
named
null
null
null
null
bad_json
reliefweb:000066
15
3
données de suivi de la réponse
771
801
descriptive
null
null
null
null
bad_json
reliefweb:000066
15
3
données de monitoring de protection du HCR
873
915
descriptive
null
null
null
null
bad_json
reliefweb:000066
1
0
classement fait par NRC
294
317
named
null
null
null
null
bad_json
reliefweb:000066
4
2
monitoring de protection du HCR
1,055
1,086
descriptive
named
other
Le ⟦monitoring de protection du HCR⟧ et ses partenaires a rapporté
true
null
reliefweb:000066
8
0
monitoring de protection du HCR
179
210
descriptive
named
other
le ⟦monitoring de protection du HCR⟧ et ses partenaires a rapporté de nombreuses violations
true
null
reliefweb:000069
11
0
returnee monitoring reports
1,746
1,773
descriptive
descriptive
report
⟦returnee monitoring reports⟧ indicate that the bulk of the repatriation cash grant is spent on food
true
null
reliefweb:000069
14
1
M&E data
555
563
descriptive
vague
other
⟦M&E data⟧ obtained from UNHCR and partners on the multi-purpose cash programmes under analysis
true
null
reliefweb:000069
24
1
basic needs assessment
723
745
descriptive
descriptive
survey
a recent ⟦basic needs assessment⟧ conducted in and around IDP settlements in the Borno State in Nigeria found
true
null
reliefweb:000069
27
0
mapping of government SSN services
1,657
1,691
descriptive
descriptive
other
UNHCR recently completed a ⟦mapping of government SSN services⟧
false
null
reliefweb:000069
28
0
FGDs
1,159
1,163
descriptive
vague
survey
A number of ⟦FGDs⟧ indicated that, after collection of the repatriation cash grant
true
null
reliefweb:000069
29
2
Mercy Corps PDM
45
60
named
named
survey
⟦Mercy Corps PDM⟧ of October 2017 found 75% of respondents stating an improved sense of safety
true
null
reliefweb:000069
37
1
FGDs
1,466
1,470
descriptive
vague
survey
⟦FGDs⟧ conducted for this review provided no robust evidence on cash grant outcomes specifically
true
null
reliefweb:000069
45
1
returnee monitoring
886
905
descriptive
descriptive
other
Together with ongoing ⟦returnee monitoring⟧, the findings provide the basis for community-based protection measures
false
null
reliefweb:000069
47
2
FGDs with males in Kabul
1,059
1,083
descriptive
descriptive
survey
During ⟦FGDs with males in Kabul⟧, one community leader, also a returnee, estimated
true
null
reliefweb:000069
58
1
monitoring and evaluation data
796
826
descriptive
vague
other
the limits of ⟦monitoring and evaluation data⟧ relating to health in multi-purpose cash programmes
true
null
reliefweb:000069
59
0
Health Access and Utilization Surveys
817
854
named
named
survey
Respondents mentioned the ⟦Health Access and Utilization Surveys⟧, a tool developed and used by UNHCR
true
null
reliefweb:000069
73
0
UNHCR monitoring data
290
311
descriptive
named
other
existing ⟦UNHCR monitoring data⟧, evaluations and studies
true
null
reliefweb:000069
74
1
food security indicators
1,077
1,101
descriptive
descriptive
indicator
M&E indicators for multi-purpose cash are largely limited to those with which agencies are more familiar and are easier to collect (e.g. ⟦food security indicators⟧)
true
null
reliefweb:000069
74
1
PDMs
1,698
1,702
descriptive
vague
survey
In Greece, the few available ⟦PDMs⟧ showed very limited, if any, disaggregation of cash expenditures
true
null
reliefweb:000069
74
1
PDM reports
1,935
1,946
descriptive
descriptive
report
From available ⟦PDM reports⟧ it was not possible to gain a comprehensive picture of cash expenditures and outcomes
true
null
reliefweb:000069
74
2
PDM reports
125
136
descriptive
descriptive
report
From available ⟦PDM reports⟧ it was not possible to gain a comprehensive picture of cash expenditures and outcomes
true
null
reliefweb:000069
74
2
monitoring data
1,021
1,036
vague
vague
other
the scant availability of good quality ⟦monitoring data⟧ on cash expenditure and, critically, on outcomes
true
null
reliefweb:000069
75
0
phone surveys
364
377
descriptive
vague
survey
strong reliance on ⟦phone surveys⟧ as the predominant mode of contacting returnees for monitoring purposes
true
null
reliefweb:000070
12
1
lists compiled by local actors in El Geneina
526
570
descriptive
descriptive
other
⟦lists compiled by local actors in El Geneina⟧ ostensibly to facilitate provision of humanitarian aid had been shared
true
null
reliefweb:000070
1
1
Situation Sudan situation
973
998
named
named
other
Data available at ⟦Situation Sudan situation⟧ (unhcr.org), accessed on 2 October 2023
true
null
reliefweb:000070
1
1
Data concerning displacement to Libya
1,049
1,086
descriptive
descriptive
other
⟦Data concerning displacement to Libya⟧ extracted from ⟦DTM Sudan – Monthly Displacement Overview⟧
true
null
reliefweb:000070
1
1
DTM Sudan – Monthly Displacement Overview
1,102
1,143
named
named
database
⟦DTM Sudan – Monthly Displacement Overview⟧ (01), accessed on 2 October 2023
true
null
reliefweb:000070
1
1
Data concerning internal displacement
1,187
1,224
descriptive
descriptive
other
⟦Data concerning internal displacement⟧ extracted from regular reporting provided by IOM DTM
true
null
reliefweb:000070
1
1
Displacement Tracking Matrix
1,338
1,366
named
named
database
Sudan | ⟦Displacement Tracking Matrix⟧ (iom.int), accessed on 2 October 2023
true
null
reliefweb:000070
5
1
ACLED data
2,014
2,024
named
named
database
The chart below summarizes publicly available ⟦ACLED data⟧ on the prevalence of conflict incidents across the Darfur States
true
null
reliefweb:000070
5
2
ACLED data
57
67
named
named
database
The chart below summarizes publicly available ⟦ACLED data⟧ on the prevalence of conflict incidents across the Darfur States
true
null
reliefweb:000070
6
0
data in the chart above
68
91
vague
vague
other
While the ⟦data in the chart above⟧ accurately captures trends in conflict incidents
true
null
reliefweb:000072
0
0
RACIST VIOLENCE RECORDING NETWORK
3
36
named
named
other
**⟦RACIST VIOLENCE RECORDING NETWORK⟧**
true
null
reliefweb:000072
12
1
2016 Annual Report
414
432
named
named
report
had also been recorded in the ⟦2016 Annual Report⟧[1]
true
null
reliefweb:000072
14
0
Recorded assaults against LGBTQI persons
1,277
1,317
descriptive
descriptive
other
⟦Recorded assaults against LGBTQI persons⟧[2] outnumber all other types of assault
false
null
reliefweb:000072
17
0
RVRN data on complaints
1,857
1,880
named
named
other
This section analyses the ⟦RVRN data on complaints⟧[3] (A)
true
null
reliefweb:000072
17
1
RVRN data on complaints
1
24
named
named
other
⟦RVRN data on complaints⟧[4] (A) and on other information related to the police
true
null
reliefweb:000072
19
0
available data
1,385
1,399
vague
vague
other
the ⟦available data⟧[5] must be thoroughly processed and reconciled against data derived from proceeding and cases brought before the courts
true
null
reliefweb:000072
1
4
RVRN data
287
296
named
named
other
**Α. Analysis of ⟦RVRN data⟧[6] on complaints
true
null
reliefweb:000072
23
0
RVRN’s recordings of incidents
740
770
named
named
other
According to the ⟦RVRN’s recordings of incidents⟧[7] involving foreigners who were hospitalised following an assault
true
null
reliefweb:000072
3
0
local press reports and recorded incidents
1,076
1,118
descriptive
descriptive
report
as ⟦local press reports and recorded incidents⟧[8] clearly indicate
true
null
reliefweb:000072
4
1
RVRN recordings
340
355
named
named
other
findings, as same are drawn from the ⟦RVRN recordings⟧[9], briefly describe the quantitative and qualitative data available for 2017
true
null
reliefweb:000073
18
2
SHS report
814
824
named
named
report
with a ⟦SHS report⟧[10] feeling safer in their homes after dark
true
null
reliefweb:000073
19
1
data on the camp market
472
495
descriptive
descriptive
other
Share ⟦data on the camp market⟧[11] and arrange for guided camp visits
true
null
reliefweb:000073
22
1
UNHCR EIS data
1,232
1,246
named
named
system
91% of residents say they feel safer after dark, compared to 12% before SSL installations (⟦UNHCR EIS data⟧[12]- base)
true
null
reliefweb:000073
3
1
World Atlas
467
478
named
named
other
traditional ancestral beliefs remain an integral part of many people’s lives (⟦World Atlas⟧[13])
true
null
reliefweb:000073
4
0
national birth registration system
1,317
1,351
descriptive
descriptive
administrative
refugees being included in the ⟦national birth registration system⟧[14]
true
null
reliefweb:000073
6
0
mapping of development actors
1,857
1,886
descriptive
descriptive
other
A ⟦mapping of development actors⟧[15] in the country shows that the African Development Bank
false
null
reliefweb:000073
6
1
mapping of development actors
92
121
descriptive
descriptive
other
A ⟦mapping of development actors⟧[16] in the country shows that the African Development Bank
false
null
reliefweb:000075
10
1
school records
1,089
1,103
descriptive
descriptive
administrative
how to place children in the right grades when they lack ⟦school records⟧[17]
true
null
reliefweb:000075
12
1
Unified Registry of Social Programs
897
932
named
named
database
The ⟦Unified Registry of Social Programs⟧[18] (Cadastro Unico) is a database that collects details about low-income families
true
null
reliefweb:000075
13
0
PISA
1,005
1,009
named
named
survey
According to its ⟦PISA⟧[19] (Program for International Student Assessment) results
true
null
reliefweb:000075
13
1
population data
1,746
1,761
descriptive
vague
other
the ⟦population data⟧[20] on Venezuelans are not updated regularly
true
null
reliefweb:000075
14
1
data on the informal sector
876
903
vague
vague
other
as ⟦data on the informal sector⟧[21] is not available
true
null
reliefweb:000075
14
2
2020 education census
340
361
named
descriptive
census
This paper shows the results of these models using ⟦2020 education census⟧[22] in the main body
true
null
reliefweb:000075
14
2
2019 education census
444
465
named
descriptive
census
It also re-estimates the model using fixed effect models and the ⟦2019 education census⟧[23]
true
null
reliefweb:000075
15
1
RAIS dataset
1,356
1,368
named
named
database
we only observe the wages of workers, who are in wage employment as of December 2019, consequently in the ⟦RAIS dataset⟧[24]
true
null
reliefweb:000075
16
1
Single Registry of Social Programs
1,688
1,722
named
named
database
The ⟦Single Registry of Social Programs⟧[25] (CadUnico) is a database that collects details about
true
null
reliefweb:000075
17
0
census data
753
764
descriptive
descriptive
census
Due to unavailability of recent ⟦census data⟧[26]
true
null
reliefweb:000075
17
0
PNAD surveys
769
781
named
named
survey
⟦PNAD surveys⟧[27] not including nationality
true
null
reliefweb:000075
17
1
CadUnico
1,523
1,531
named
named
database
who are registered in ⟦CadUnico⟧
true
null
reliefweb:000075
17
2
CadUnico
24
32
named
named
database
who are registered in ⟦CadUnico⟧
true
null
reliefweb:000075
18
0
2019 and 2020 School Census
624
651
named
named
census
The education data comes from the ⟦2019 and 2020 School Census⟧
true
null
reliefweb:000075
18
0
2019 Annual Report on Social Information
690
730
named
named
report
the labor market data comes from the ⟦2019 Annual Report on Social Information⟧ (RAIS)
true
null
reliefweb:000075
18
0
National Migration Registry System
835
869
named
named
system
the population data comes from ⟦National Migration Registry System⟧ (⟦SISMIGRA⟧)
true
null
reliefweb:000075
18
0
SISMIGRA
871
879
named
named
administrative
the population data comes from ⟦National Migration Registry System⟧ (⟦SISMIGRA⟧)
true
null
reliefweb:000075
18
0
International Traffic System
885
913
named
named
system
and ⟦International Traffic System⟧ (⟦STI-MAR⟧) for Venezuelans
true
null
reliefweb:000075
18
0
STI-MAR
915
922
named
named
administrative
and ⟦International Traffic System⟧ (⟦STI-MAR⟧) for Venezuelans
true
null
reliefweb:000075
18
0
demographics data
1,742
1,759
descriptive
vague
other
the information on the students include ⟦demographics data⟧ along with places of origin
true
null
reliefweb:000075
18
1
RAIS dataset
421
433
named
named
administrative
The ⟦RAIS dataset⟧ is an administrative data managed by the Ministry of Economy
true
null
reliefweb:000075
18
1
_Cadastro Unico_
839
855
named
named
database
⟦_Cadastro Unico_⟧ is a database that collects details about low-income families
true
null
reliefweb:000075
18
1
_Cadastro Unico_
1,196
1,212
named
named
database
This paper uses ⟦_Cadastro Unico_⟧ of December 2017, December 2018, December 2019 and July 2020 for our analysis
true
null
reliefweb:000075
18
1
_Cadastro Unico_
1,304
1,320
named
named
database
On average, ⟦_Cadastro Unico_⟧ includes information on about 78 million people
true
null
reliefweb:000075
18
1
SISMIGRA
1,499
1,507
named
named
administrative
The ⟦SISMIGRA⟧ is an administrative record, maintained by the Federal Police
true
null
reliefweb:000075
19
0
STI-MAR
18
25
named
named
administrative
The ⟦STI-MAR⟧ contains the same information on those who have requested asylum in Brazil
true
null
reliefweb:000075
19
0
population estimates of Brazil by municipality
162
208
descriptive
descriptive
estimates
IBGE publishes ⟦population estimates of Brazil by municipality⟧ every year
true
null
reliefweb:000075
19
0
STI-MAR
380
387
named
named
administrative
lack of updating of ⟦STI-MAR⟧
true
null
reliefweb:000075
19
0
education census of 2020
638
662
descriptive
descriptive
census
according to the ⟦education census of 2020⟧
true
null
reliefweb:000075
19
1
race data
365
374
vague
vague
other
Although ⟦race data⟧ on all Venezuelan refugees and migrants are not available
true
null