Transcript No Slide Title

UNHCR’s Field Support
in Data Collection
Joint UNFPA & UNHCR Workshop
Geneva, February 2007
Outline
1. Population Statistics & Surveys
2. Refugee registration
3. IDP Profiling and UNHCR’s
expectation on collaboration
Population Statistics
and Surveys
Scope of forced displacement facts and figures (end-2005)
• Estimated 38 million persons displaced globally
– 8.7 million refugees (UNHCR)
– 4.2 million Palestinian refugees in Middle East (UNRWA)
– ≈ 24 million internally displaced (IDMC)
• 21 millions persons of concern to UNHCR, end-2005
Population of concern to UNHCR by category, end-2005
Country or territory
of
asylum (residence)1
Total
Refugees
8,661,994
Asylum-
Returned
Internally
seekers
772,592
refugees
1,105,550
displaced
6,616,791
Returned
IDPs
519,430
Stateless
persons7
2,383,712
Various
960,366
Total
21,020,435
WHO ARE WE TALKING ABOUT?
CONCEPT OF Total Population of Concern
to UNHCR (TPOC)
1)
2)
3)
4)
Refugees
Asylum-seekers
Returned refugees
Internally displaced
(protected/assisted by UNHCR only)
5) Returned IDPs
6) Others of concern to UNHCR (e.g.
stateless persons who are not
refugees)
Measuring refugee stocks and flows:
schematic overview
Positive
decisions
(individual)
Prima facie
(group
recognition)
Resettlement
arrivals
Voluntary
repatriation
Naturalization
Cessation
REFUGEE
POPULATION
Resettlement
departures
Births
Deaths
Other
increases/
decreases
UNHCR data sources
•
Main data sources
– Government statistics
– More than 140 UNHCR country operations
– NGOs/Implementing partners
• Basis of data
– Registration/census
– Surveys
– Estimates
• UNHCR Sources
•Monthly asylum application data (36 industrialized countries)
•Quarterly Statistical Report (QSR, mainly developing countries with UNHCR
operations 120)
•Annual Statistical Report (ASR, over 150 countries)
•Annual Standard and Indicator Report (SIR, Global coverage, National,
camps, urban, returnees 2005)
WHERE DOES THE DATA COME FROM?
UNHCR SOURCES
Fig.I.2 Basis of refugee data, 2005
Estimatio n
25%
Others
7%
Registratio n and
estimatio n
14%
Registratio n
54%
HOW DO WE USE OUR STATISTICS?
Example of gap assessment score cards
T - Population aged 5-17 enrolled in school (%)
STANDARD 100
140
120
Gap
100
80
60
40
20
fo
nd
N
dj
o
ou
nd
ou
B
iri
ng
D i
iv
um
D a
o
ru
m
a
D
u
ng
u
K
ilu
ek
a
K
im
vu
K la
is
en
ge
K
ul
in
dj
N
i
a
pa
ss
a
N
ko
nd
R
u
du o
1
T
sh &
ifw 2
T
sh am
im es
o
b
um
bu
G lu
ih
e
m
b
e
K
iz
i
K
an ba
em
b
w
a
K
ar
a
go
Lu
gu
fu
Lu
ko
le
M
ta
bi
M la
te
nd
M eli
uy
ov
o
si
N
d
u
N
ya ta
ru
gu
su
Im
p
Std. = 100%
90% - 99%
< 90%
Lo
uk
o
le
la
,L
ira
ng
a,
B
M
bo
ki
et
ou
0
Country
Camp
Total
Pop (EP)
TanzaniaKarago
6,510
TanzaniaLugufu
93,979
TanzaniaLukole
71,999
TanzaniaMtendeli
25,911
TanzaniaNduta
32,244
TanzaniaNyarugusu 59,424
TanzaniaKane Mbwa 15,009
TanzaniaMtabila 1
16,996
TanzaniaMtabila 2
40,920
TanzaniaMyovosi
35,818
% Ref.
with
clear
status
100%
100%
100%
100%
100%
93%
100%
97%
98%
97%
Gap
Std. = 100%
90% - 99%
< 90%
% Ref.
individ.
registere
d
Gap
0
0% 6,510
0 100%
0
0 100%
0
0
0% 25,911
0
0% 32,244
93% 4,000
0
0% 15,009
500
97%
500
1,000
98% 1,000
1,000
97% 1,000
Std. = 100%
90% - 99%
< 90%
% Ref.
issued
indiv. ID
Gap
Std. = 80%
70% - 79%
< 70%
% Ref.
special
needs
met
Gap
Std. = 100%
90% - 99%
< 90%
% of
SGBV
support
0%
6,510
86%
0 100%
0% 93,979 100%
0 100%
32% 34,314 100%
0% 25,911
82%
0 100%
0% 32,244
85%
0 100%
0% 59,424
10% 41,438 100%
0% 15,009
86%
0 100%
0% 16,996
0% 40,920 100%
0 100%
0% 35,818
74%
2,288 100%
Gap
0
0
0
0
0
0
0
0
0
An approach to IDP profiling: Surveys
• Increasing use of surveys for many purposes,
including for estimating numbers and profiling of
IDPs
• Provision of technical guidance on methodologies,
sampling design, scope, questionnaire design,
data management and analysis
• Working on generic methodologies & guidelines
which could be adapted according to needs and
contexts
• Key topics:
–
–
–
–
–
Identification of protection needs
Coping behaviors
MDGs
Provision of global estimates
Gender-related issues
Key challenges
• Scope and Definitions
– Asylum migration nexus, national vs international
– Terminology: Who is a refugee, an IDP?
– Time, location, distance, causes
• Data sources and triangulation
–
–
–
–
Coverage: Key information are missing
Register updating
Sources for triangulation
Data collection methodologies and tools
• Data quality
– Timeliness in rapidly changing situations
– Comparability, scope
– Compliance with recommendations (UN, UNECE, UNHCR)
• Human resources
– Skills and training
– Uses of data for informed decision making
Refugee Registration
What is
Registration?
The recording, verifying and updating of
information on persons of concern to
UNHCR with the aim of protecting and
documenting them and of implementing
durable solutions.
Who is responsible for
Registration?
States bear the
primary
responsibility for
registration
UNHCR assumes an
operational role
only if needed
“States, which have not yet done so, to
take all necessary measures to register
and document refugees and asylum
seekers on their territory as quickly as
possible upon their arrival, bearing in
mind the resources available, and where
appropriate to seek the support and
cooperation of UNHCR”
(ExCom Conclusion No. 91, 2001)
Registration Standards
Handbook for Registration
 Access to registration
 Process of registration
 Data to be gathered & recorded
 Monitoring registration activities
 Provision of documentation
 Verification & identification
 Protecting individuals with
Special Needs
 Focus on women & children
Registration Practices
Standard Operating Procedures
 Level I, II and III registration
 Continuous registration and verification
 Registration Center Operations
 Field Data Collection
 Support RSD, Assistance, Protection and
Durable Solutions
 Data security and confidentiality
 Managing data on women,
children and special needs
 Working with governments
and partners
Registration Levels
Standard data sets
Additional
data
Level 3 Registration
Level 2 Registration
WFP/UNHCR MOU
Standards set at
each level
Some
current
operations
Level 1
Immediately
3 months*
Time after arrival on territory of asylum
12 months
Registration Tools
 Global Software
Application “proGres”
 Strategies and tools
for document issuance
Individual ID cards
Individual protection documentation
Entitlement documents
 Standard forms for
data collection
Registration form
Registration form for unaccompanied
children
RSD application form
Control Sheet
Household information form
Global Registration Activities
using ‘proGres’
Russian Federation
Germany
Morocco
Ukraine
Kazakhstan
Turkey
Uzbekistan
Lebanon
Azerbaijan
Syria
Libya
Jordan
Hong
Iran
Egypt
Nepal Kong
Sudan
Eritrea
Pakistan
Bangladesh
Chad
YemenIndia
Ethiopia
Thailand
Guinea
Uganda
Sierra Leone Ghana Benin
Liberia
Rwanda
Cote d’IvoireNigeria
Kenya
Gabon Burundi
DRC
ROC
Cambodia
Malaysia
Tanzania
Namibia
Zimbabwe
Mozambique
Malawi
2004 Implementation site
2005 Implementation site
2006 Implementation site
Examples
Table III. Populations of concern to UNHCR:
demographic characteristics and location by end-year (*)
Basis: Registration (R), Estimate (E), extrapolation from survey(S):
Nam e
Type
of
location
(ref/idp/
etc.)(a)
KOLA
KOUANKAN
LAINE
NONAH
TELIKORO
BOREAH
KOUNTAYA
R, E
(indicate basis in this box)
Fem ale
Origin
0-4
5-17
18-59
REF
SLE
12
14
5
REF
LBR
646
1,355
1,318
REF
SLE
-
4
2
REF
LBR
3,346
5,731
REF
SLE
3
REF
LBR
REF
ICO
REF
LBR
-
REF
SLE
259
649
687
REF
LBR
529
1,133
1,633
REF
SLE
323
914
REF
LBR
295
613
818
REF
SLE
547
1,382
1,589
REF
LBR
772
1,628
2,213
Total cam ps
Male
60 and
over
Total
(b)
5-17
18-59
31
10
14
11
65
3,384
637
1,474
886
1
7
7,590
2,797
19,464
3,248
10
5
1
19
4,146
5,825
6,361
697
958
1,432
1,263
25
2
5
11,836
765
20,543
24,403
-
0-4
60 and
over
Total
(b)
-
35
50
3,047
-
-
5,230
2,515
1,853
12,846
3
5
5
1
14
17,029
3,867
5,670
4,983
536
15,056
3,678
857
1,536
951
34
3,378
7
3
5
3
75
1,670
255
641
611
53
1,560
261
3,556
546
1,138
754
91
2,529
108
2,110
348
93
2,112
130
1,856
308
660
556
79
1,603
203
3,721
590
1,395
1,562
171
3,718
296
4,909
808
1,680
1,448
175
4,111
4,659
61,441
3,136
50,025
-
-
5
11,480
811
20,264
-
860
15,145
5
11
-
-
SLE
-
-
LBR
-
-
ALG
-
-
REF
BDI
-
-
REF
BKF
-
-
REF
CAR
-
-
REF
CMR
-
-
REF
COB
-
-
REF
COD
-
-
REF
COI
REF
NIG
REF
RUS
REF
TOG
REF
CHD
REF
SUD
REF
GHA
REF
GNB
REF
RWA
REF
ICO
ASY
SLE
ASY
LBR
ASY
TOG
ASY
CHD
ASY
COD
ASY
RWA
ASY
BEN
ASY
NIG
ASY
CUB
ASY
ICO
ASY
GHA
REF
SLE
-
10
8
1
19
3
18
20
1
42
REF
LBR
267
624
612
25
1,528
418
1,280
1,167
84
2,949
REF
LBR
357
3,262
3,183
314
7,116
1,528
4,016
2,341
597
8,482
REF
SLE
4
129
REF
SLE
3
10
12
25
8
11
24
3
46
REF
LBR
491
837
1,235
104
2,667
982
1,660
1,777
236
4,655
REF
SLE
10
18
67
13
108
31
74
113
26
244
REF
LBR
869
2,913
1,507
281
5,570
1,836
4,223
2,100
527
8,686
REF
SLE
5
17
19
1
42
16
32
44
2
94
REF
LBR
525
1,325
1,154
117
3,121
576
1,099
1,369
229
3,273
REF
SLE
REF
Total rural/dispersed/other
LBR
2,555
9,072
7,838
860
20,325
5,420
12,441
9,011
1,718
28,590
14,391
29,615
32,241
5,519
81,766
16,900
32,705
24,156
4,854
78,615
CONAKRY VILLE
REF
REF
REF
Statistical report
Total urban
NZEREKORE PERIPHERIE
NZEREKORE VILLE
LOLA
BEYLA
YOMOU
OTHERS
GRAND TOTAL
N o tes
-
-
28
-
56
-
41
-
-
-
-
22
-
28
-
56
Map 1
-
13
-
119
-
Map 2
IDP Profiling
&
UNHCR’s Expectation on
Collaboration
Strategic Directions




UNHCR to engage in IDP Profiling as part of its
functions to lead the protection and CCCM
clusters.
IDP Profiling will be undertaken in a
collaborative manner
Non-UN stakeholders will be invited to join and
to establish advisory capacity (academia,
governments, inter-governmental and nongovernmental organizations, etc.)
UNHCR to increase its IDP Profiling capacities
and invest in staff and tools
Key objectives of Profiling








numbers,
age/ gender breakdown,
Location,
causes for displacement,
patterns of displacement,
protection Concerns
key humanitarian needs,
potential solution for the group (if
available)
How can we obtain the “profiles”?
Profiling Interventions
Desk
Reviews
Key
informant
interview Estimations
Survey
proGres
Registration
Various
Data
sources
Focus
group
discussion
Micro
Census
Manual
Census
Govt.
Census
Required Staff Competencies







Demographers & Statisticians
Social Scientists & Survey Specialists
Registration & Liaison Officers
Protection Officers & Social Workers
Information Management Officers
Database & GIS Specialists
Logisticians and other support staff
Nairobi Technical Workshop on
IDP Profiling: Findings

IOM
NRC
OCHA
WFP
UNHCR


In October 2006, UNHCR invited its
partners to a workshop in Nairobi. The
workshop confirmed:
There are no standards, common procedures,
tools, etc.
No agency has yet developed the conceptual
or operational capacity to undertake largescale IDP Profiling in multiple theatres
UNHCR has a comparative advantage due to
its refugee registration concepts, standards,
tools, and experience.
What needs to be done?



Develop strategic and
institutional frameworks
(political)
Mobilize existing resources,
competent staff, necessary
resources, and deploy
multi-functional teams
(operational)
develop policies, standards,
methodologies and tools
(technical)
Any Questions?