Enquête sur les migrations entre l'Afrique et l'Europe - Sénégal (2008)
MAFE Senegal
Migrations entre l'Afrique et l'Europe - MAFE Sénégal (2008)
SEN-INED-MAFE-2008
Amandine Morisset
Dominique Diguet
2017-09-12
Nesstar Publisher
Enquête sur les migrations entre l'Afrique et l'Europe - Sénégal (2008)
MAFE Sénégal
Migrations between Africa and Europe - Senegal (2008)
SEN-INED-MAFE-2008
Cris Beauchemin
AMETEPE Fofo
BAIZAN Pau
BRINGE Arnaud
CASTAGNONE Eleonora
DAURELE Catherine
DIAGNE Alioune
FLAHAUX Marie-Laurence
GASPARETTI Fedora
GONZALEZ-FERRER Amparo
KABBANJI Lama
KRAUS Elisabeth
LAURENT Raphaël
LEJBOWICZ Tania
LESSAULT David
LIU Mao-Mei
MEZGER Cora
MORO Anastasia
NAPPA Jocelyn
NAZIO Tiziana
OBUCINA Ognjen
PASTORE Ferrucio
QUAGLIA Martine
RAZAFINDRATSIMA Nicolas
REDA V.
ROUGIER Frédérique
SAKHO Papa
THEVENIN Marc
TOMA Sorana
VICKSTROM Erik
VIVIER Géraldine
Institut national d’études démographiques (France)
Université Cheikh Anta Diop (Sénégal)
Forum internazionale ed Europeo di ricerche sull'immigrazione (Italie)
Universitat Pompeu Fabra (Espagne)
Consejo superior de investigaciones científicas (Espagne)
2008
Nesstar Publisher
Septième programme-cadre de la Communauté européenne
Institut national d’études démographiques (France)
Agence nationale de la recherche (France)
Région Ile- de-France
Programme FSP "Migrations internationales, recompositions territoriales et développement dans les pays du Sud"
217206
Institut National d'Etudes Démographiques
Enquête sur les migrations [mig]
Version 1
International migration (Migration internationale)
Africa (Afrique)
Europe (Europe)
Geographical mobility (Mobilité géographique)
France (France)
Spain (Espagne)
Italy (Italie)
Senegal (Sénégal)
Migration internationale
Discrimination
Intégration des immigrés
Sénégal
France
Italie
Espagne
Ménages et individus
Institut national d’études démographiques (France)
Institut de population, développement et santé de la reproduction
CSA
Istituto per le ricerche statistiche e l'analisi dell'opinione pubblica (Italie)
Metroscopia (Espagne)
Official website of the MAFE project
Website
Leaflet
Household questionnaire Senegal (FR)
Biographic questionnaire Senegal and France (FR)
Events grid Senegal and France (FR)
Biographic questionnaire Italy (IT)
Events grid Italy (IT)
Biographic questionnaire Spain (SP)
Events grid Spain (SP)
Interviewer's handbook - Household questionnaire (FR)
Interviewer's handbook - Biographic questionnaire - part 1 (FR)
Interviewer's handbook - Biographic questionnaire - part 2 (FR)
Interviewer's handbook - Biographic questionnaire - part 3 (FR)
Interviewer's handbook - Biographic questionnaire - part 4 (FR)
Interviewer's handbook - Household questionnaire (EN)
Interviewer's handbook - Biographic questionnaire - part 1 (EN)
Interviewer's handbook - Biographic questionnaire - part 2 (EN)
Interviewer's handbook - Biographic questionnaire - part 3 (EN)
Interviewer's handbook - Biographic questionnaire - part 4 (EN)
Methodological note 1
Methodological note 2
Methodological note 3
Methodological note 4
Methodological note 5
Methodological note 6
Methodological note 8
Methodological note 9
The aim of this document is to provide an introduction to the MAFE datasets, giving basic information to help users understand the structure and content of all MAFE datasets.
Introduction to the MAFE datasets
Contains in one document the entire codebook of the MAFE Senegal databases + all information available about the survey
MAFE Senegal complete codebook
IE0216B - Migrations between Africa and Europe - MAFE DR Congo (2009)
IE0216C - Migrations between Africa and Europe - MAFE Ghana (2009-2010)
Bibliography
sn_qm_household.NSDstat
0
197
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qm_indiv.NSDstat
0
136
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_general.NSDstat
0
153
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_union.NSDstat
0
37
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_children.NSDstat
0
28
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_house.NSDstat
0
49
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_activity.NSDstat
0
46
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_assets.NSDstat
0
78
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_mig_attempts.NSDstat
0
50
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_migration.NSDstat
0
159
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_return.NSDstat
0
70
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_network.NSDstat
0
35
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_short_return.NSDstat
0
21
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_short_stay.NSDstat
0
23
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_citizenship.NSDstat
0
23
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_asylum.NSDstat
0
24
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_residence_permit.NSDstat
0
26
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_work_permit.NSDstat
0
25
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_transfer.NSDstat
0
24
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
sn_qb_association.NSDstat
0
21
Nesstar 200801
Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies.
SENEGAL HOUSEHOLD QUESTIONNAIRE
The data collected with the household questionnaires have been arranged in two distinct sorts of datafiles: one contains the information related to the household level (qm_household), such as variables related to housing conditions; the other contains the information related to the individuals (members of the household and external persons) listed in the roster.
SENEGAL BIOGRAPHIC QUESTIONNAIRE
Senegal household dataset
Introduction
HH head characteristics
Housing and assets
Interviewing conditions
HH characteristics
Survey variables
Senegal individual dataset
Introduction
Characteristics of the HH individuals
Migrants' experiences
About the migrants
HH characteristics
Survey variables
Senegal general dataset
Introduction
History of housing lived in for at least 1 year
Family history
Residence history of family members and personal network
Relationships / Children / Housing history / Periods of activity and inactivity
Activity and education history
History of assets and businesses
Transfers / Migration attempts
Stays of less than a year outside Senegal
Long & short stays outside Senegal
Associations / Asylum
Return trips to Senegal
Interviewer's observations
Information based on the biographical grid
Migratory status
Survey variables
Senegal union dataset
Survey variables
Basic characteristics
Relationships module
Senegal children dataset
Basic characteristics
Survey variables
Children module
Senegal house dataset
Basic characteristics
Housing history module
Survey variables
Senegal activity dataset
Basic characteristics
Periods of activity and inactivity module
Survey variables
Senegal assets dataset
Basic characteristics
History of assets and businesses module
Survey variables
Senegal migration attempts dataset
Basic characteristics
Migration attempts module
Survey variables
Senegal migration dataset
Basic characteristics
Long & short stays outside Senegal module
Survey variables
Senegal return dataset
Basic characteristics
Return trips to Senegal module
Survey variables
Senegal network dataset
Basic characteristics
Residence history of family members and personal network module
Survey variables
Senegal short return dataset
Basic characteristics
Returns to Senegal of less than a year without intention to settle module
Survey variables
Senegal short stay dataset
Basic characteristics
Stays of less than a year outside Senegal module
Survey variables
Senegal citizenship dataset
Basic characteristics
Citizenship module
Survey variables
Senegal asylum dataset
Basic characteristics
Asylum module
Survey variables
Senegal residence permit dataset
Basic characteristics
Residence permits module
Survey variables
Senegal work permit dataset
Basic characteristics
Work permits module
Survey variables
Senegal transfer dataset
Basic characteristics
Transfers module
Survey variables
Senegal association dataset
Basic characteristics
Associations module
Survey variables
DC number
0
0
Survey area ID
DC stratum defined in 10 classes
0
0
Migration prevalence in each survey area, defined using the 2002 Census
Migrant HH during the census
0
0
Presence of migrant in the HH during the screening survey.
0
Non migrant HH
1
HH with returnee(s) or migrant(s) abroad
District
0
0
1
MERMOZ - SACRE COEUR
4
YOFF
5
BISCUITERIE
6
DIEUPPEUL - DERKLE
7
GRAND DAKAR
8
HANN BEL AIR
9
H L M
10
LIBERTE
12
GRAND YOFF
13
PARCELLES ASSAINIES
14
PATTE D'OIE
16
FASS - COLOBANE - GUEULE TAPEE
17
MEDINA
18
DAKAR- PLATEAU
20
DALIFORT
22
24
PIKINE EST
25
PIKINE NORD
26
PIKINE OUEST
27
KEUR MASSAR
29
YEUMBEUL NORD
30
YEUMBEUL SUD
31
DIAMAGUENE SICAP MBAO
33
THIAROYE GARE
34
THIAROYE / MER
36
RUFISQUE EST
38
RUFISQUE NORD
39
BARGNY
40
DIAMNIADIO / COMMUNE
44
YENNE
46
GOLF
47
MEDINA GOUNASS
48
NDIAREME LIMAMOULAYE
49
50
WAKHINANE NIMZATT
Dakar neighbourhood
0
0
Individual ID
0
0
Individual identifiant = 1st letter of country + n° of questionnaire compost
Household number
0
0
Household ID
Individual number in the HH (HH head)
0
0
ID of each individual within her/his household
Age (HH head)
Date of birth
0
0
Year of birth (HH head)
Date of birth
(Give equivalence if Don't Know)
0
0
Ego lives abroad
Interviewer
Reminders
0
0
The box ETR was to be ticked by the interviewer if the HH head lived abroad
0
No
1
Yes
Ego has contact abroad
Interviewer
Reminders
0
0
The box CONTACT was to be ticked by the interviewer if the HH head had contact living abroad
0
No
1
Yes
Ego's partner lives abroad
Interviewer
Reminders
0
0
The box CONJ was to be ticked by the interviewer if the HH head's partner lived abroad (see variable hh_a7b)
0
No
1
Yes
Apart from the children currently living here, does the HH head have other child
Apart from the children currently living here, does or did the household head have other children, including children who are deceased?
0
0
0
No
1
Yes
Any persons in your HH engaged in a relationship with a migrant living abroad
In you household, are there any persons who are engaged in a relationship with a migrant living outside of the Senegal?
0
0
0
No
1
Yes
HH head or partner have relatives living abroad (with regular contact)
In addition to the persons we've just recalled, does the household head or his/her partner have relatives living abroad and who have been in regular contact with the household over the past 12 months?
0
0
0
No
1
Yes
If yes how many (relatives abroad with regulard contact)
How many?]]>
0
0
1
1 relative
2
2 relatives
3
3 relatives
4
4 relatives
5
5 relatives
6
6 relatives
7
7 relatives
8
8 relatives
9
9 relatives
Sex (HH head)
A1. "Name" is:
0
0
1
Man
2
Woman
Year of death (HH head)
Year of death
0
0
Age at the time of death (HH head)
Year of death
0
0
Relation with the HH head (HH head)
Relationship with head of the HH
A3. How is "Name" related to the household head?
0
0
1
Household head
Living in the HH (HH head)
Situation
A4. Situation in relation to the household:
0
0
1
Member of the HH
Nucleus number (HH head)
Nucleus number
A5. Nucleus number
(according to the order foretold by the instructions)
Household members only (A4 = 1)
0
0
Relation with the nucleus head (HH head)
Relation with the nucleus head
A6. How is "Name" related to the nucleus head?
Household members only (A4 = 1)
0
0
1
Nucleus head
2
Partner/spouse
4
Daughter/son (biological)
6
Mother/father
7
Grandfather/grandmother
11
Granddaughter/grandson
13
Other relative of the NH's partner
14
Without family ties
Matrimonial status (HH head)
Matrimonial status (over 12 years old)
A7a. Is he/she?
If hh_a7a (A7a) in 6, 7, 8 => Go to hh_a12 (A12)
For the women, please specify the spouse number
Household members only (A4 = 1)
0
0
0
Monogamus
1
Polygamous 1st spouse
2
Polygamous 2nd spouse
3
Polygamous 3rd spouse
4
Polygamous 4th spouse
5
Consensual union
6
Single
7
Widowed
8
Divorced/separated
9
Other
Is her/his partner living abroad? (HH head)
Partner abroad
A7b. Does his/her partner currently live abroad?
Tick CONJ box (hh_q4_cjt)
If hh_a7b in 0 => Go to hh_a12 (A12)]]>
0
0
0
No
1
Yes
Number of the 1st partner living abroad (HH head)
Partner abroad
Look at the flap and note down partner(s)'s ID(s)
0
0
Number of the 2nd partner living abroad (HH head)
Partner abroad
Look at the flap and note down partner(s)’s ID(s)
0
0
Has she/he ever lived abroad? (HH head)
1st out-migration
A12. Has he/she already lived outside of Senegal?
Go to hh_a14vil (A14)
If hh_a12 in 2 => Go to hh_a13c (A13c)]]>
0
0
1
No, never or less than a year
2
Yes, all her/his life
3
Yes, for one year or more
In which year did she/he left for the first time? (HH head)
1st out-migration
Si hh_a12 in 3
0
0
0
Has never or practically never lived in Senegal
At what age did she/he left for the first time? (HH head)
1st out-migration
Si hh_a12 in 3
0
0
0
Has never or practically never lived in Senegal
What was her/his destination country? (HH head)
1st out-migration
A13b. What was the destination country when he/she left Senegal for the first time?
(i.e. the first country where he/she stayed for at least a year)
Si hh_a12 in 3
0
0
96000
FRANCE
99109
GERMANY
99123
RUSSIA
99127
ITALY
99131
BELGIUM
99134
SPAIN
99139
PORTUGAL
99201
SAUDI ARABIA
99216
CHINA
99243
VIETNAM
99301
EGYPT
99302
LIBERIA
99304
GAMBIA
99322
CAMEROON
99324
CONGO
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99342
SIERRA LEONE
99350
MOROCCO
99351
TUNISIA
99352
ALGERIA
99392
GUINEA BISSAU
99404
UNITED STATES
99416
BRAZIL
Did she/he already come back? (HH head)
1st out-migration
A13c. Did he/she return to Senegal for at least a year since he/she first left?
If hh_a13c in 0 => Go to hh_a14vil (A14)
Si hh_a12 in 2, 3
0
0
0
No
1
Yes
In which year did she/he come back for the first time? (HH head)
1st out-migration
(Indicate the date of the first return that lasted one year or longer)
0
0
At what age did she/he come back for the first time? (HH head)
1st out-migration
(Indicate the date of the first return that lasted one year or longer)
0
0
Town of birth (HH head)
Place of birth
0
0
Town code of birth (HH head)
Place of birth
0
0
Department of birth (HH head)
Place of birth
0
0
101
DAKAR
102
GUEDIAWAYE
103
PIKINE
104
RUFISQUE
201
BAMBEY
202
DIOURBEL
203
MBACKE
301
FATICK
302
FOUNDIOUGNE
303
GOSSAS
401
KAFRINE
402
KAOLACK
403
NIORO DU RIP
501
KOLDA
502
SEDHIOU
503
VELINGARA
601
KEBEMER
602
LINGUERE
603
LOUGA
701
KANEL
702
MATAM
801
DAGANA
802
PODOR
803
SAINT-LOUIS
901
BAKEL
902
KEDOUGOU
903
TAMBACOUNDA
1001
MBOUR
1002
THIES
1003
TIVAOUANE
1101
BIGNONA
1102
OUSSOUYE
1103
ZIGUINCHOR
Country of birth (HH head)
Place of birth
0
0
96000
FRANCE
99216
CHINA
99243
VIETNAM
99304
GAMBIA
99316
LIBYA
99321
BURUNDI
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99335
MALI
99336
MAURITANIA
99338
NIGERIA
99341
SENEGAL
99342
SIERRA LEONE
99344
CHAD
99345
TOGO
99392
GUINEA BISSAU
99396
CAPE VERDE
Current nationality 1 (HH head)
Nationalities
0
0
99205
LEBANON
99216
CHINA
99304
GAMBIA
99321
BURUNDI
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99335
MALI
99336
MAURITANIA
99338
NIGERIA
99341
SENEGAL
99342
SIERRA LEONE
99344
CHAD
99345
TOGO
99392
GUINEA BISSAU
99396
CAPE VERDE
Current nationality 2 (HH head)
Nationalities
0
0
96000
FRANCE
99205
LEBANON
99304
GAMBIA
99326
COTE DIVOIRE
99327
BENIN
99330
GUINEA
99335
MALI
99336
MAURITANIA
99345
TOGO
99392
GUINEA BISSAU
99396
CAPE VERDE
Ethnic group (HH head)
Ethnicity
0
0
1
Wolof
2
Mandingue
3
Pular
4
Serer
5
Diola
6
Soninke
7
Other
Other ethnic group (HH head)
Ethnicity
if hh_a16 in 7
0
0
Religion (HH head)
Religion
A17. What is his/her religion?
0
0
1
Khadre
2
Layene
3
Mouride
4
Tidiane
5
Other muslim
6
Catholic
7
Protestant
8
Other Christian
Level of education (HH head)
Level of education
A18. If "Name" goes or went to school: what was the last class "Name" attended?
0
0
0
None
1
Pre-school (1 year in school)
2
Primary/basic (2 years in school)
3
Primary/basic (3 years in school)
4
Primary/basic (4 years in school)
5
Primary/basic (5 years in school)
6
Primary/basic (6 years in school)
7
Primary/basic (7 years in school)
8
Middle school (8 years in school)
9
Middle school (9 years in school)
10
Middle school (10 years in school)
11
Middle school (11 years in school)
12
Secondary school (12 years in school)
13
Secondary school (13 years in school)
14
Secondary school (14 years in school)
15
Post secondary (15 years in school)
16
Post secondary (16 years in school)
17
Post secondary (17 years in school)
18
Post secondary (18 years in school)
19
Post secondary (19 years in school)
20
Post secondary (20 years in school)
21
Post secondary (21 years in school)
22
Post secondary (22 years in school)
55
Only Koranic school
56
Only basic literacy or national language
Current occupation (HH head)
Activity status
A19. At present, "Name" is primarily (spends most of his/her time) :
If hh_a19 not in 1 => Go to b1_1 (B1)
0
0
1
Active, he/she works
2
Without occupation/housewife
3
Unemployed/searching for a job
4
Pupil/student/trainee
5
Retired, doesn't work anymore
6
Other inactive
Current job (HH head)
Occupation
Describe in detail the product type (good or service) produced or sold
If hh_a19 in 1
0
0
Profession codification (HH head)
Occupation
If hh_a19 in 1
0
0
Current socio-economic status (HH head)
Socio-professional category
A20. You/he/she is:
If hh_a19 in 1
0
0
1
Intellecutal/higher level occupation
2
Skilled employee or worker
3
Unskilled employee, labourer, worker
4
Employer
5
Self employed
6
Apprentice, intern
Currently do you have at home someone who lives in Europe
Currently, do you have at home someone who lives in France, Spain or in Italy and that is visiting Senegal?
Fill a column by individual
If migrant in 0 => Module D2]]>
15, 184
0
0
0
No
1
Yes
Your house is
E1. Your dwelling is:
(read)
0
0
1
One or several rooms in a share compound
2
An apartment in a building
3
A multi storey house
4
A single storey house
5
A mud shut, tradional dwelling
6
A barrack/shack
7
Other
Number of rooms
Number of rooms
E2. How many rooms are used as living space, not counting the sanitary facilities and the kitchen?
(without rooms used for business purposes)
0
0
Your toilets are
Amenities
E3. The toilet facilities are:
(read)
0
0
1
Flush toilet linked to sewerage
2
Flush toilet with pit
3
Latrines
4
Public toilets
5
Free range
6
Other
Indoor well
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Outdoor well
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Indoor plumbing
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Outdoor plumbing
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Borehole
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Water vendor
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
A spring/stream/river
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Other
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
No answer
Water and power supply
(read) (Multiple answers possible)
0
0
0
No
1
Yes
Do you have electricity
E5. Do you have electricity?
0
0
0
No
1
Yes
Gas
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
Charcoal
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
Firewood
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
Other
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
None
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
No answer
Fuel
(Multiple answers possible)
0
0
0
No
1
Yes
Refrigerator
Durable goods
(read)
0
0
0
No
1
Yes
Stove
Durable goods
(read)
0
0
0
No
1
Yes
Sewing machine
Durable goods
(read)
0
0
0
No
1
Yes
Radio/Hifi system
Durable goods
(read)
0
0
0
No
1
Yes
TV
Durable goods
(read)
0
0
0
No
1
Yes
Cable or satellite
Durable goods
(read)
0
0
0
No
1
Yes
Video/DVD player
Durable goods
(read)
0
0
0
No
1
Yes
Phone
Durable goods
(read)
0
0
0
No
1
Yes
Computer
Durable goods
(read)
0
0
0
No
1
Yes
Internet
Durable goods
(read)
0
0
0
No
1
Yes
Fan
Durable goods
(read)
0
0
0
No
1
Yes
Air conditionning
Durable goods
(read)
0
0
0
No
1
Yes
None
Durable goods
(read)
0
0
0
No
1
Yes
Taxi
(read)
0
0
0
No
1
Yes
Car
(read)
0
0
0
No
1
Yes
Motorcycle
(read)
0
0
0
No
1
Yes
Bicycle
(read)
0
0
0
No
1
Yes
Cart
(read)
0
0
0
No
1
Yes
Tractor
(read)
0
0
0
No
1
Yes
Pirogue
(read)
0
0
0
No
1
Yes
None
(read)
0
0
0
No
1
Yes
Since which year have you been living in this dwelling (HH head)
"To come back to your dwelling..."
(repeat question to obtain a date)
0
0
Since how many years have you been living in this dwelling (HH head)
"To come back to your dwelling..."
(repeat question to obtain a date)
0
0
E9: plain text answers (HH head)
"To come back to your dwelling..."
(repeat question to obtain a date)
0
0
Are you? (HH head)
Occupancy status of the household head
E10. Are you/ Is the head of the household:
Go to e12_num (E12)
If e10 in 5, 6, 7 => Go to e14 (E14)]]>
(read)
0
0
1
Tenant
2
Co tenant
3
Housed by the employer
4
Housed for free
5
Owner
6
Leaseholder
7
In a family house or compound
Does or did your owner live abroad?
E11. Does or did your landlord live abroad?
Go to e22b (E22b)
If e10 in 1, 2, 3
0
0
0
No
1
Yes
Who lodge you? Person ID
If e10 in 4
0
0
Who lodge you? Plain text answers
If e10 in 4
0
0
Did your lodger already live abroad?
E13. Does or did the person who provides housing for you live abroad?
If e10 in 4
0
0
0
No
1
Yes
Building the dwelling
E14. Did the owner/you build this dwelling him/herself/yourself?
If e14 in 0 => Go to e17 (E17)
(Read)
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Kind of financement for the plot
Financing of the plot
If e15 not in 2 => Go to e17 (E17)
(read) (multiple answers possible)
0
0
1
No
2
Yes
Plot: financement from Africa
Financing of the plot
(read) (multiple answers possible)
0
0
0
No
1
Yes
Plot: financement from Europe
Financing of the plot
(read) (multiple answers possible)
0
0
0
No
1
Yes
Plot: financement from another country
Financing of the plot
(read) (multiple answers possible)
0
0
0
No
1
Yes
This money for the plot has been earned by
(read)
0
0
1
The household head
2
A person we already talked about
3
Somebody else
1st person ID who earned this money for the plot
Note the person ID (1st)]]>
(read)
0
0
2nd person ID who earned this money for the plot
Note the person ID (2nd)]]>
(read)
0
0
Kind of financement for the house
Financing of the dwelling
If e17 not in 2 => Go to e19_1 (E19)
(read) (multiple answers possible)
If e10 in 4, 5, 6, 7
0
0
1
No
2
Yes
House: financement from Africa
Financing of the dwelling
(read) (multiple answers possible)
0
0
0
No
1
Yes
House: financement from Europe
Financing of the dwelling
(read) (multiple answers possible)
0
0
0
No
1
Yes
House: financement from another country
Financing of the dwelling
(read) (multiple answers possible)
0
0
0
No
1
Yes
This money for the house has been earned by
(read)
0
0
1
The household head
2
A person we already talked about
3
Somebody else
1st person ID who earned this money for the house
Note the person ID (1st)]]>
(read)
0
0
2nd person ID who earned this money for the house
Note the person ID (2nd)]]>
(read)
0
0
Dwelling modified by... Outside refurbishments
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Dwelling modified by... Additional floor
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Dwelling modified by... Adding a room on the ground floor
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Dwelling modified by... Other
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Kind of financement for the modifications
If e20 not in 2 => Go to e22a (E22a)
(read) (multiple answers possible)
0
0
1
No
2
Yes
Modifications: financement from Africa
(read) (multiple answers possible)
0
0
0
No
1
Yes
Modifications: financement from Europe
(read) (multiple answers possible)
0
0
0
No
1
Yes
Modifications: financement from another country
(read) (multiple answers possible)
0
0
0
No
1
Yes
This money for the modifications has been earned by
(read)
0
0
1
The household head
2
A person we already talked about
3
Somebody else
1st person ID who earned this money for the modifications
Note the person ID (1st)]]>
(read)
0
0
2nd person ID who earned this money for the modifications
Note the person ID (2nd)]]>
(read)
0
0
3rd person ID who earned this money for the modifications
Note the person ID (3rd)]]>
(read)
0
0
Do you own other plots
E22a. Are you / is the household head owner of other plots of land?
If e22a in 0 => Go to e28 (E28)
If e10 in 4, 5, 6, 7
0
0
0
No
1
Yes
Do you own plots
Other plot(s) of land
E22b. Are you / is the household head owner of plots of land?
If e22b in 0 => Go to e28 (E28)
If e22a not in 0
0
0
0
No
1
Yes
How many plots do you have?
E23. How many plots do you own in total?
0
0
1
1 plot
2
2 plots
3
3 plots
4
4 plots
5
5 plots
20
20 plots
Kind of financement for the plots
If e24 not in 2 => Go to e26 (E26)
(read) (multiple answers possible)
0
0
1
No
2
Yes
Plots: financement from Africa
(read) (multiple answers possible)
0
0
0
No
1
Yes
Plots: financement from Europe
(read) (multiple answers possible)
0
0
0
No
1
Yes
Plots: financement from another country
(read) (multiple answers possible)
0
0
0
No
1
Yes
This money for the plots has been earned by
(read)
0
0
1
The household head
2
A person we already talked about
3
Somebody else
1st person ID who earned this money for the plots
Note the person ID (1st)]]>
(read)
0
0
These plots are
E26. Is this/Are these plots of land…
If e26 not in 2 => Go to e28 (E28)
(read)
0
0
1
Building land or with a building currently under construction
2
Agricultural land (crops, livestock)
Utilisation of the agricultural land 1
(read) (multiple answers possible)
0
0
1
For perennial crop
2
For market gardening
3
For livestock breeding
4
Other
Utilisation of the agricultural land 2
(read) (multiple answers possible)
0
0
2
For market gardening
Utilisation of the agricultural land 3
(read) (multiple answers possible)
0
0
4
Other
Perennial crop (orchard)
0
0
0
No
1
Yes
Market gardening
0
0
0
No
1
Yes
Livestock breeding
0
0
0
No
1
Yes
Other crops
0
0
0
No
1
Yes
No answer
0
0
0
No
1
Yes
Do you have animals (HH head)
E28. Do you (the household head) own animals?
Go to o1 (O1)
If e28 in 2 => Read out the list and indicate the number of animals]]>
0
0
1
No
2
Yes
Goats (HH head)
Read out the list and indicate the number of animals
Goats]]>
If e28 in 2
0
0
0
0 goat
1
1 goat
2
2 goats
3
3 goats
4
4 goats
5
5 goats
15
15 goats
41
41 goats
50
50 goats
Sheep (HH head)
Read out the list and indicate the number of animals
Sheep]]>
If e28 in 2
0
0
0
0 sheep
1
1 sheep
2
2 sheeps
3
3 sheeps
4
4 sheeps
5
5 sheeps
6
6 sheeps
7
7 sheeps
8
8 sheeps
9
9 sheeps
10
10 sheeps
13
13 sheeps
14
14 sheeps
15
15 sheeps
20
20 sheeps
Pigs (HH head)
Read out the list and indicate the number of animals
Pigs]]>
If e28 in 2
0
0
0
0 pig
2
2 pigs
3
3 pigs
13
13 pigs
20
20 pigs
Horses (HH head)
Read out the list and indicate the number of animals
Horses]]>
If e28 in 2
0
0
0
0 horse
1
1 horse
2
2 horses
4
4 horses
Donkeys (HH head)
Read out the list and indicate the number of animals
Donkeys]]>
If e28 in 2
0
0
0
0 donkey
1
1 donkey
3
3 donkeys
12
12 donkeys
Cows, oxen (HH head)
Read out the list and indicate the number of animals
Cows, oxen]]>
If e28 in 2
0
0
0
0 cow
1
1 cow
2
2 cows
10
10 cows
20
20 cows
Chicken/hens (HH head)
Read out the list and indicate the number of animals
Chicken/hens]]>
Next page
To be read to the head of the household (or the person who replied to the questionnaire)
"We have now come to the end of this questionnaire. I and the entire team thank you very much for your cooperation and your participation in this study.
As I explained you earlier, this study has several stages. The first stage is this questionnaire that we have just filled out. The second stage is another questionnaire which will be answered by a person in the household. Finally, we will be meeting the persons currently living in France, Italy or Spain.
In the following weeks, an interviewer may visit you again and ask a selected member of your household to answer the other questionnaire.
I thank you again very much for your welcome."]]>
If e28 in 2
0
0
0
0 chicken
1
1 chicken
2
2 chickens
3
3 chickens
4
4 chickens
5
5 chickens
6
6 chickens
7
7 chickens
8
8 chickens
9
9 chickens
10
10 chickens
11
11 chickens
15
15 chickens
20
20 chickens
25
25 chickens
50
50 chickens
100
100 chickens
105
105 chickens
111
111 chickens
300
300 chickens
Who answered the questionnaire
Interviewer
O1. Who answered the questionnaire (HH, spouse, etc.)?
0
0
First language used in the interview
Interviewer
0
0
1
French
2
Wolof
3
French & Wolof
4
Mandigue
5
Peul
7
Diola
Second language used in the interview
Interviewer
0
0
1
French
2
Wolof
5
Peul
Translation
Interviewer
O3. Did you feel that it was sometimes difficult to translate certain questions?
0
0
0
No
1
Yes
Specify which questions where difficult to translate
Interviewer
Which ones?]]>
If o3 in 1
0
0
General reception by the respondent
Interviewer
General reception and perception of the survey:
O4. The interviewer was rather received:
0
0
1
Well
2
Moderately
3
Poorly
Persuasion
Interviewer
O5. Did you need to persuade the respondent to participate?
0
0
1
No, not at all. The HH head had been notified and agreed to be interviewed
2
Yes, a bit. The HH head hadn't been notified
3
Yes, a bit. The HH head had been notified but was reluctant
4
Yes. The HH head had been notified but was very reluctant
5
Yes, very much so. The HH head had not been notified and was very reluctant
Comments of the respondent
Interviewer
O6. Did the respondent make any comments on the survey?
0
0
0
No
1
Yes
Specify the respondent's comments
Interviewer
Which ones?]]>
If o6 in 1
0
0
Presence of other persons during the interview
Interviewer
The conditions during the interview:
O7. Were there other persons present during the interview?
If o7 not in 1, 2 => Go to o9 (O9)
0
0
1
Yes, during the entire interview
2
Yes, during part of the interview
3
No
Influence of the other person(s)
Interviewer
O8. In your opinion, did this presence influence the answers given by the respondent?
If o7 in 1, 2
0
0
1
Yes, the entire questionnaire
2
Yes, but only in certain parts of the questionnaire
3
No
Specify which part(s) of the questionnaire
Interviewer
Which ones?]]>
0
0
Interruption
Interviewer
O9. Did you have to interrupt the interview?
0
0
0
No
1
Yes
Specify why and when the interruption occurred
Interviewer
Why, and at which point?]]>
If o9 in 1
0
0
Comprehension of the questions
Interviewer
O10. In your opinion, was the respondent's comprehension of the questions:
0
0
1
Excellent
2
Good
3
Adequate
4
Poor
Difficulties to answer
Interviewer
O11. Did the respondent have difficulties answering certain questions?
0
0
0
No
1
Yes
Specify which difficulties
Interviewer
Which ones?]]>
If o11 in 1
0
0
Use of written documents
Interviewer
O12. Did the person use written documents to answer the questionnaire?
0
0
0
No
1
Yes
Specify which documents
Interviewer
For which questions?]]>
If o12 in 1
0
0
Total number of persons in the HH (living in or outside)
0
0
Number of persons living in the HH (excluding the persons declared as living outside the HH)
0
0
Number of nucleus in the HH
0
0
Number of children of the HH head living in the HH
0
0
Number of children from 0 to 4 years old living in the HH
0
0
Number of children from 5 to 12 years old living in the HH
0
0
Number of children from 12 years old & plus living in the HH
0
0
Number of children of the HH head living outside the HH
0
0
Number of children of HH head living outside Senegal
0
0
Number of sons of the HH head living outside Senegal
0
0
Number of daughters of the HH head living outside Senegal
0
0
Number of partners of the HH head living outside the HH, whatever the country of residence
0
0
Number of partners of the HH head outside Senegal
0
0
Total number of partners living abroad
0
0
Partners of the HH head or of the other members of the HH living abroad
Total number of persons living outside Senegal, whatever the country of residence
0
0
(hmigother + hmigsptot + hmigchild)
Number of persons living outside Senegal and keeping regular contacts
0
0
Total number of persons living abroad and keeping regular contacts with the HH during the 12 months before the survey (excluding of the other migrants category - partners, children)
Number of HH persons living in Africa, excluding Senegal
0
0
Number of HH persons living in Europe
0
0
Number of HH persons living outside Senegal, neither Africa, nor Europe
0
0
Number of migrants back in the HH
0
0
Individuals which have lived abroad for at least one year
HH with return migrants
0
0
0
No
1
Yes
0 & !inlist(hmigret,7777,8888,9999,.)]]>
HH with actual migrants
0
0
0
No
1
Yes
0 & !inlist(hmigtot,7777,8888,9999,.)]]>
HH which have never had migrants
0
0
0
No
1
Yes
Number of persons living in the HH with a professional activity
0
0
Population density by housing (number of persons by room)
0
0
Wealth index of the HH
0
0
Variable calculated thanks to a PCA (Principal Components Analysis) integrative a part of the variables beginning with "e" (could be different from country to country).
Normalized weight by HH
0
0
Represents normalized weights to be used in the analyses related to the household data, whatever the file used.
DC number
0
0
Survey area ID
DC stratum defined in 10 classes
0
0
Migration prevalence in each survey area, defined using the 2002 Census
Migrant HH during the census
0
0
Presence of migrant in the HH during the screening survey.
0
Non migrant HH
1
HH with returnee(s) or migrant(s) abroad
Individual ID
0
0
Individual identifiant = 1st letter of country + n° of questionnaire compost
Household number
0
0
Household ID
Individual number in the HH
0
0
ID of each individual within her/his household
Age
Date of birth
0
0
Year of birth
Date of birth
(Give equivalence if Don't Know)
0
0
Ego lives abroad
Interviewer
Reminders
0
0
The box ETR was to be ticked by the interviewer if the individual lived abroad
0
No
1
Yes
Ego has contact abroad
Interviewer
Reminders
0
0
The box CONTACT was to be ticked by the interviewer if the individual had contact living abroad
0
No
1
Yes
Ego's partner lives abroad
Interviewer
Reminders
0
0
The box CONJ was to be ticked by the interviewer if the individual's partner lived abroad (see variable a7b)
0
No
1
Yes
Sex
A1. "Name" is:
0
0
1
Man
2
Woman
Year of death
Year of death
0
0
Age at the time of death
Year of death
0
0
Relation with the HH head
Relationship with head of the HH
A3. How is "Name" related to the household head?
0
0
1
Household head
2
Partner/spouse
3
Co-wife
4
Daughter/son (biological)
5
Daughter/son-in-law, step-daughter/son
6
Mother/father
7
Grandfather/grandmother
8
Sister/brother
9
Sister/brother-in-law
10
Niece/nephew
11
Granddaughter/grandson
12
Other relative of HH
13
Other relative of the HH's partner
14
Without family ties
Living in the HH
Situation
A4. Situation in relation to the household:
If a4 in 2 => Go to a8a (A8a)
0
0
1
Member of the HH
2
Member outside the HH
Nucleus number
Nucleus number
A5. Nucleus number
(according to the order foretold by the instructions)
Household members only (A4 = 1)
0
0
Relation with the nucleus head
Relation with the nucleus head
A6. How is "Name" related to the nucleus head?
Household members only (A4 = 1)
0
0
1
Nucleus head
2
Partner/spouse
3
Co-wife
4
Daughter/son (biological)
5
Daughter/son-in-law, step-daughter/son
6
Mother/father
7
Grandfather/grandmother
8
Sister/brother
9
Sister/brother-in-law
10
Niece/nephew
11
Granddaughter/grandson
12
Other relative of NH
13
Other relative of the NH's partner
14
Without family ties
Matrimonial status (household members)
Matrimonial status (over 12 years old)
A7a. Is he/she?
If a7a (A7a) in 6, 7, 8 => Go to a12 (A12)
For the women, please specify the spouse number
Household members only (A4 = 1) and over 12 years old
0
0
0
Monogamus
1
Polygamous 1st spouse
2
Polygamous 2nd spouse
3
Polygamous 3hd spouse
4
Polygamous 4th spouse
5
Consensual union
6
Single
7
Widowed
8
Divorced/separated
9
Other
Is her/his partner living abroad?
Partner abroad
A7b. Does his/her partner currently live abroad?
Tick CONJ box (q4_cjt)
If a7b in 0 => Go to a12 (A12)]]>
0
0
0
No
1
Yes
Number of the 1st partner living abroad
Partner abroad
Look at the flap and note down partner(s)'s ID(s)
0
0
Number of the 2nd partner living abroad
Partner abroad
Look at the flap and note down partner(s)'s ID(s)
0
0
Matrimonial status (members outside the household)
Matrimonial status (over 12 years old)
A8a. Is he/she?
If a8a (A8a) in 6, 7, 8 => Go to a9 (A9)
For the women, please specify the spouse number
Members outside the household only (A4 = 2) and over 12 years old
0
0
0
Monogamus
1
Polygamous 1st spouse
2
Polygamous 2nd spouse
3
Polygamous 3hd spouse
4
Polygamous 4th spouse
5
Consensual union
6
Single
7
Widowed
8
Divorced/separated
9
Other
Is she/he the partner of someone living in the HH?
Partner in the household
A8b. Is he/she the partner of someone living in the household?
If a8b (A8b) in 0 => Go to a9 (A9)
0
0
0
No
1
Yes
Number of the 1st partner living in the household
Partner in the household
Note the ID of the partner below. Then report Ego's ID on his/her partner lign in A7c (flap CONJ)
0
0
Number of the 2nd partner living in the household
Partner in the household
Note the ID of the partner below. Then report Ego's ID on his/her partner lign in A7c (flap CONJ)
0
0
Has Ego already lived with the HH head?
A9. Has "Name" ever lived with the household head?
Members outside the household only (A4 = 2)
0
0
0
No
1
Yes
Is Ego currently living abroad?
Current place of residence
A10. Does he/she currently live abroad?
Go to a12 (A12)
If a10 (A10) in 1 => Tick ETR in the flap]]>
Members outside the household only (A4 = 2)
0
0
0
No
1
Yes
In which country?
Contact
A11. In which country?
Go to a13a_an (A13a)
CONTACT]]>
0
0
96000
FRANCE
99103
NORWAY
99104
SWEDEN
99109
GERMANY
99123
RUSSIA
99126
GREECE
99127
ITALY
99131
BELGIUM
99132
UNITED KINGDOM
99134
SPAIN
99139
PORTUGAL
99140
SWITZERLAND
99201
SAUDI ARABIA
99205
LEBANON
99208
TURKEY
99216
CHINA
99217
JAPAN
99226
SINGAPORE
99227
MALAYSIA
99240
KUWAIT
99302
LIBERIA
99303
SOUTH AFRICA
99304
GAMBIA
99314
EQUATORIAL GUINEA
99316
LIBYA
99322
CAMEROON
99324
CONGO
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99340
RWANDA
99342
SIERRA LEONE
99345
TOGO
99350
MOROCCO
99351
TUNISIA
99392
GUINEA BISSAU
99393
MOZAMBIQUE
99395
ANGOLA
99396
CAPE VERDE
99401
CANADA
99404
UNITED STATES
99426
JAMAICA
99430
GREENLAND
99443
ALASKA
Has she/he ever lived abroad?
1st out-migration (including deceased children)
A12. Has he/she already lived outside of Senegal?
Go to a14vil (A14)
If a12 in 2 => Go to a13c (A13c)]]>
0
0
1
No, never or less than a year
2
Yes, all her/his life
3
Yes, for one year or more
In which year did she/he left for the first time?
1st out-migration (including deceased children)
Si a12 in 3
0
0
0
Has never or practically never lived in Senegal
At what age did she/he left for the first time?
1st out-migration (including deceased children)
Si a12 in 3
0
0
0
Has never or practically never lived in Senegal
What was her/his destination country?
1st out-migration (including deceased children)
A13b. What was the destination country when he/she left Senegal for the first time?
(i.e. the first country where he/she stayed for at least a year)
Si a12 in 3
0
0
96000
FRANCE
99103
NORWAY
99104
SWEDEN
99109
GERMANY
99123
RUSSIA
99126
GREECE
99127
ITALY
99131
BELGIUM
99132
UNITED KINGDOM
99134
SPAIN
99139
PORTUGAL
99140
SWITZERLAND
99201
SAUDI ARABIA
99205
LEBANON
99208
TURKEY
99216
CHINA
99217
JAPAN
99228
NON-FEDERATED MALAY STATES
99240
KUWAIT
99241
LAOS
99243
VIETNAM
99254
CYPRUS
99301
EGYPT
99302
LIBERIA
99303
SOUTH AFRICA
99304
GAMBIA
99312
CONGO (DEMOCRATIC REPUBLIC)
99314
EQUATORIAL GUINEA
99316
LIBYA
99322
CAMEROON
99324
CONGO
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99329
GHANA
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99338
NIGERIA
99340
RWANDA
99342
SIERRA LEONE
99345
TOGO
99346
ZAMBIA
99350
MOROCCO
99351
TUNISIA
99352
ALGERIA
99392
GUINEA BISSAU
99395
ANGOLA
99396
CAPE VERDE
99401
CANADA
99404
UNITED STATES
99416
BRAZIL
99430
GREENLAND
99443
ALASKA
Did she/he already come back?
1st out-migration (including deceased children)
A13c. Did he/she return to Senegal for at least a year since he/she first left?
If a13c in 0 => Go to a14vil (A14)
Si a12 in 2, 3
0
0
0
No
1
Yes
In which year did she/he come back for the first time?
1st out-migration (including deceased children)
(Indicate the date of the first return that lasted one year or longer)
0
0
At what age did she/he come back for the first time?
1st out-migration (including deceased children)
(Indicate the date of the first return that lasted one year or longer)
0
0
Town of birth
Place of birth
0
0
Town code of birth
Place of birth
0
0
Department of birth
Place of birth
0
0
101
DAKAR
102
GUEDIAWAYE
103
PIKINE
104
RUFISQUE
201
BAMBEY
202
DIOURBEL
203
MBACKE
301
FATICK
302
FOUNDIOUGNE
303
GOSSAS
401
KAFRINE
402
KAOLACK
403
NIORO DU RIP
501
KOLDA
502
SEDHIOU
503
VELINGARA
601
KEBEMER
602
LINGUERE
603
LOUGA
701
KANEL
702
MATAM
703
RANEROU-FERLO
801
DAGANA
802
PODOR
803
SAINT-LOUIS
901
BAKEL
902
KEDOUGOU
903
TAMBACOUNDA
1001
MBOUR
1002
THIES
1003
TIVAOUANE
1101
BIGNONA
1102
OUSSOUYE
1103
ZIGUINCHOR
Country of birth
Place of birth
0
0
96000
FRANCE
99109
GERMANY
99127
ITALY
99131
BELGIUM
99134
SPAIN
99201
SAUDI ARABIA
99205
LEBANON
99216
CHINA
99243
VIETNAM
99303
SOUTH AFRICA
99304
GAMBIA
99314
EQUATORIAL GUINEA
99316
LIBYA
99321
BURUNDI
99324
CONGO
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99338
NIGERIA
99341
SENEGAL
99342
SIERRA LEONE
99344
CHAD
99345
TOGO
99352
ALGERIA
99392
GUINEA BISSAU
99396
CAPE VERDE
99404
UNITED STATES
99430
GREENLAND
Current nationality 1
Nationalities
0
0
96000
FRANCE
99109
GERMANY
99121
SERBIA AND MONTENEGRO
99131
BELGIUM
99134
SPAIN
99139
PORTUGAL
99205
LEBANON
99216
CHINA
99301
EGYPT
99304
GAMBIA
99321
BURUNDI
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99338
NIGERIA
99341
SENEGAL
99342
SIERRA LEONE
99344
CHAD
99345
TOGO
99352
ALGERIA
99389
WESTERN SAHARA
99392
GUINEA BISSAU
99396
CAPE VERDE
99404
UNITED STATES
Current nationality 2
Nationalities
0
0
96000
FRANCE
99109
GERMANY
99127
ITALY
99131
BELGIUM
99134
SPAIN
99139
PORTUGAL
99201
SAUDI ARABIA
99205
LEBANON
99217
JAPAN
99304
GAMBIA
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99345
TOGO
99350
MOROCCO
99392
GUINEA BISSAU
99396
CAPE VERDE
99399
DJIBOUTI
99404
UNITED STATES
Ethnic group
Ethnicity
0
0
0
None
1
Wolof
2
Mandingue
3
Pular
4
Serer
5
Diola
6
Soninke
7
Other
Other ethnic group
Ethnicity
if a16 in 7
0
0
Religion
Religion
A17. What is his/her religion?
0
0
1
Khadre
2
Layene
3
Mouride
4
Tidiane
5
Other muslim
6
Catholic
7
Protestant
8
Other Christian
10
Other religion
11
No religion
Level of education
Level of education
A18. If "Name" goes or went to school: what was the last class "Name" attended?
0
0
0
None
1
Pre-school (1 year in school)
2
Primary/basic (2 years in school)
3
Primary/basic (3 years in school)
4
Primary/basic (4 years in school)
5
Primary/basic (5 years in school)
6
Primary/basic (6 years in school)
7
Primary/basic (7 years in school)
8
Middle school (8 years in school)
9
Middle school (9 years in school)
10
Middle school (10 years in school)
11
Middle school (11 years in school)
12
Secondary school (12 years in school)
13
Secondary school (13 years in school)
14
Secondary school (14 years in school)
15
Post secondary (15 years in school)
16
Post secondary (16 years in school)
17
Post secondary (17 years in school)
18
Post secondary (18 years in school)
19
Post secondary (19 years in school)
20
Post secondary (20 years in school)
21
Post secondary (21 years in school)
22
Post secondary (22 years in school)
55
Only Koranic school
56
Only basic literacy or national language
Current occupation
Activity status
A19. At present, "Name" is primarily (spends most of his/her time) :
If a19 not in 1 => Go to b1_1 (B1)
0
0
1
Active, he/she works
2
Without occupation/housewife
3
Unemployed/searching for a job
4
Pupil/student/trainee
5
Retired, doesn't work anymore
6
Other inactive
Current job
Occupation
Describe in detail the product type (good or service) produced or sold
If a19 in 1
0
0
Profession codification
Occupation
If a19 in 1
0
0
Current socio-economic status
Socio-professional category
A20. You/he/she is:
If a19 in 1
0
0
1
Intellecutal/higher level occupation
2
Skilled employee or worker
3
Unskilled employee, labourer, worker
4
Employer
5
Self employed
6
Apprentice, intern
7
Family help
9
Don't know
1st reason of departure
(read) (multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad
1
To work
2
To study/training
3
To get married
4
For health reasons
5
To learn a trade/profession
6
For family reunification
8
Other
2nd reason of departure
(read) (multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad
1
To work
2
To study/training
3
To get married
6
For family reunification
8
Other
3rd reason of departure
(read) (multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
1
To work
3
To get married
6
For family reunification
8
Other
Specify the other reason of departure
Specify]]>
0
0
Departure: in which year?
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad
Departure: at what age?
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad
1st help from the HH to leave
(multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad
1
No, Ego managed to organize everything by himself/herself
2
We helped with the preparations
3
We helped to pay for the trip
4
We supported him/her in another way
2nd help from the HH to leave
(multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
2
We helped with the preparations
3
We helped to pay for the trip
4
We supported him/her in another way
3rd help from the HH to leave
(multiple answers possible)
If ETR box is ticked (q4_etr in 1)
0
0
2
We helped with the preparations
4
We supported him/her in another way
Specify the other help
Specify]]>
0
0
Help: has always lived there
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Help: no help
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Help: with the preparations
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Help: to pay the trip
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Help: for other things
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Help: no answer
If ETR box is ticked (q4_etr in 1)
0
0
To have a better view of the answers of question B3 and to make the analysis easier, these variables are dichotomised: for each possible modality a dichotomous variable was created (variable b3_a to b3_NR)
0
No
1
Yes
Does she/he have official papers?
B4. Does he/she currently have the residence permits/official documents that would allow him/her to stay in the country where he/she is?
If ETR box is ticked (q4_etr in 1)
0
0
0
Has always lived abroad or does not need any residence permit
1
Yes
2
No
Did you have contact with this person during the 12 past months?
Relationships and contacts with migrants in the last 12 months
B5. Have you been in contact with this person over the last 12 months, by phone, mail, internet…?
If b5 (B5) in 0 => Go to b7 (B7)
If ETR box is ticked (q4_etr in 1)
0
0
0
No
1
Yes
Contacts: at which frequencies?
Relationships and contacts with migrants in the last 12 months
B6. How often?
0
0
1
Every week
2
At least once a month
3
Less often
Has she/he visited you during the past 12 months?
Relationships and contacts with migrants in the last 12 months
B7. Did he/she come to visit you in the last 12 months?
If ETR box is ticked (q4_etr in 1)
0
0
0
No
1
Yes
Did you get money from her/him during the past 12 months?
C1. Have you received any money from "Name" over the last 12 months?
If c1 (C1) in 0 => Go to c7 (C7)
If ETR box is ticked (q4_etr in 1)
0
0
0
No
1
Yes
Did she/he send you money during the past 12 months...
Monetary transfers
C2. Over the last 12 months, did he/she send money?
(read)
0
0
1
At least once a month
2
Regularly, but less often
3
Occasionally
Generally how does she/he send you money?
Monetary transfers
C3. How does he/she normally (most often) send you the money?
0
0
1
Ego brings the money herself/himself
2
A friend/relative brings the money
3
Money transfer agency (Western Union, Moneygram, Money Express...)
4
Bank transfer
5
Via a commercial agent
6
Other
Specify how she/he sends you money
Monetary transfers
Specify]]>
0
0
How much money the last time? Plain text
Monetary transfers
(In plain text, otherwise note the code)
0
0
How much money the last time? Code
Monetary transfers
(In plain text, otherwise note the code)
0
0
1
Less than 50.000 CFA
2
From 50 to 100.000 CFA
3
From 100 to 200.000 CFA
4
More than 200.000 CFA
How did you spend this money: 1st answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
1
Payment of rent/bills
2
Daily expending
3
Health treatment
4
School fees
5
Savings
6
Ceremonies & religious holidays
7
Foreign travel
8
Purchase of a dwelling/vehicle/land/business
9
Other
How did you spend this money: 2nd answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
1
Payment of rent/bills
2
Daily expending
3
Health treatment
4
School fees
5
Savings
6
Ceremonies & religious holidays
8
Purchase of a dwelling/vehicle/land/business
9
Other
How did you spend this money: 3rd answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
1
Payment of rent/bills
2
Daily expending
3
Health treatment
4
School fees
5
Savings
6
Ceremonies & religious holidays
8
Purchase of a dwelling/vehicle/land/business
9
Other
How did you spend this money: 4th answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
1
Payment of rent/bills
2
Daily expending
3
Health treatment
4
School fees
5
Savings
6
Ceremonies & religious holidays
7
Foreign travel
8
Purchase of a dwelling/vehicle/land/business
9
Other
How did you spend this money: 5th answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
3
Health treatment
4
School fees
5
Savings
6
Ceremonies & religious holidays
8
Purchase of a dwelling/vehicle/land/business
9
Other
How did you spend this money: 6th answer
Monetary transfers
If c5_1 and c5_2 and c5_3 and c5_4 and c5_5 and c5_6 not in 8 => Go to c7 (C7)
0
0
6
Ceremonies & religious holidays
What kind of purchase did you make? 1st answer
Use and management
(read) (multiple answers possible)
0
0
1
Construction or purchase of a dwelling
2
Refurbishment of a dwelling/construction
4
Purchase of a land
5
Purchase of inventory/equipment/other business assets
What kind of purchase did you make? 2nd answer
Use and management
(read) (multiple answers possible)
0
0
2
Refurbishment of a dwelling/construction
5
Purchase of inventory/equipment/other business assets
Did she/he send you goods in the past 12 months?
Transfer of goods
C7. During the last 12 months, did "Name" send you goods in kind?
If c7 (C7) in 0 => Go to c9 (C9)
If ETR box is ticked (q4_etr in 1)
0
0
0
No
1
Yes
1st good she/he sent you
Transfer of goods
0
0
1
Electric domestic appliances
2
Spare parts for vehicles
3
Vehicles
4
Clothing or personal-care products
5
Computers
6
Hi-fi system/TV/video player/music or related items
7
Phones
8
Other
2nd good she/he sent you
Transfer of goods
0
0
1
Electric domestic appliances
2
Spare parts for vehicles
3
Vehicles
4
Clothing or personal-care products
5
Computers
6
Hi-fi system/TV/video player/music or related items
7
Phones
8
Other
3rd good she/he sent you
Transfer of goods
0
0
1
Electric domestic appliances
2
Spare parts for vehicles
3
Vehicles
4
Clothing or personal-care products
5
Computers
6
Hi-fi system/TV/video player/music or related items
7
Phones
8
Other
4th good she/he sent you
Transfer of goods
0
0
1
Electric domestic appliances
4
Clothing or personal-care products
6
Hi-fi system/TV/video player/music or related items
7
Phones
5th good she/he sent you
Transfer of goods
0
0
4
Clothing or personal-care products
5
Computers
7
Phones
6th good she/he sent you
Transfer of goods
0
0
6
Hi-fi system/TV/video player/music or related items
7th good she/he sent you
Transfer of goods
0
0
7
Phones
What share of your needs represents the money and the good sent by her/him?
C9. Which share of your needs on food, medicine, housing, transport, etc. have been covered by the money and in-kind transfers you have received from "Name" over the last 12 months?
If ETR box is ticked (q4_etr in 1)
0
0
0
Receives neither money nor goods
1
Very large share
2
Large share
3
Moderate share
4
Small share
5
Insignificant share
Current migrants: individuals outside HH living abroad
0
0
0
No
1
Yes
Country of residence of the current migrants
0
0
96000
FRANCE
99103
NORWAY
99104
SWEDEN
99109
GERMANY
99123
RUSSIA
99126
GREECE
99127
ITALY
99131
BELGIUM
99132
UNITED KINGDOM
99134
SPAIN
99139
PORTUGAL
99140
SWITZERLAND
99201
SAUDI ARABIA
99205
LEBANON
99208
TURKEY
99216
CHINA
99217
JAPAN
99226
SINGAPORE
99227
MALAYSIA
99240
KUWAIT
99302
LIBERIA
99303
SOUTH AFRICA
99304
GAMBIA
99314
EQUATORIAL GUINEA
99316
LIBYA
99322
CAMEROON
99324
CONGO
99326
COTE DIVOIRE
99327
BENIN
99328
GABON
99330
GUINEA
99331
BURKINA FASO
99335
MALI
99336
MAURITANIA
99337
NIGER
99340
RWANDA
99342
SIERRA LEONE
99345
TOGO
99350
MOROCCO
99351
TUNISIA
99392
GUINEA BISSAU
99393
MOZAMBIQUE
99395
ANGOLA
99396
CAPE VERDE
99401
CANADA
99404
UNITED STATES
99426
JAMAICA
99430
GREENLAND
99443
ALASKA
Residence region of the current migrants
0
0
1
Africa
2
Europe
3
Other
Return migrants
0
0
Members of the HH who have lived at least one year abroad
0
No
1
Yes
Current return migrants who are in Senegal during the survey
0
0
0
No
1
Yes
Actual migrants who have already come back to Senegal
0
0
0
No
1
Yes
Individuals who have immigrated to Senegal
0
0
Individuals who were born abroad but came to settle in Senegal (whatever their nationalities)
0
No
Number of persons living in the HH (excluding the persons declared as living outside the HH)
0
0
Number of nucleus in the HH
0
0
Children of the HH head living in the HH
0
0
0
No
1
Yes
Number of children of the HH head living in the HH
0
0
Age class of the HH head children living in the HH
0
0
1
From 0 to 4 years old
2
From 5 to 11 years old
3
12 years old and more
=5 & q3age<12
replace childage=3 if childHH==1 & q3age>=12 & /// !inlist(q3age,7777,8888,9999,.)]]>
Number of children from 0 to 4 years old living in the HH
0
0
Number of children from 5 to 12 years old living in the HH
0
0
Number of children from 12 years old & plus living in the HH
0
0
Children of the HH head living outside the HH
0
0
0
No
1
Yes
Number of children of the HH head living outside the HH
0
0
Children of the HH head living abroad
0
0
0
No
1
Yes
Number of children of HH head living abroad
0
0
Son of the HH head living abroad
0
0
0
No
1
Yes
Number of sons of the HH head living abroad
0
0
Daughter of the HH head living abroad
0
0
0
No
1
Yes
Number of daughters of the HH head living abroad
0
0
Partner of the HH head living outside the HH
0
0
0
No
1
Yes
Number of partners of the HH head living outside the HH, whatever the country of residence
0
0
Partner of the HH head living abroad
0
0
0
No
1
Yes
Number of partners of the HH head living abroad
0
0
Partner of someone in the HH living aborad
0
0
0
No
1
Yes
Total number of partners living abroad
0
0
Partners of the HH head or of the other members of the HH living abroad
Number of persons living abroad and keeping regular contacts
0
0
Total number of persons living abroad and keeping regular contacts with the HH during the 12 months before the survey (excluding of the other migrants category - partners, children)
Total number of persons living outside Senegal, whatever the country of residence
0
0
(hmigother + hmigsptot + hmigchild)
Number of HH persons living in Africa, excluding Senegal
0
0
Number of HH persons living in Europe
0
0
Number of HH persons living outside Senegal, neither Africa, nor Europe
0
0
Number of migrants back in the HH
0
0
Individuals which have lived abroad for at least one year
HH with return migrants
0
0
0
No
1
Yes
0 & !inlist(hmigret,7777,8888,9999,.)]]>
HH with actual migrants
0
0
0
No
1
Yes
0 & !inlist(hmigtot,7777,8888,9999,.)]]>
HH which have never had migrants
0
0
0
No
1
Yes
Individual with a professional activity
0
0
0
No
1
Yes
Number of persons living in the HH with a professional activity
0
0
ISCO codification
0
0
International Standard Classification of Occupations
ISEI codification
0
0
International Socio-Economic Index of Occupational Status
Normalized weight by HH
0
0
Represents normalized weights to be used in the analyses related to the household data, whatever the file used.
Biographic individual identifier
0
0
Individual identifiant = 1st letter of country + n° of questionnaire compost
Country of the survey
0
0
ID of the HH
0
0
ID of the individual in the HH
0
0
Constructed ID of the PSU
0
0
Strate of the CD defined by the population census
0
0
HH with migrants
0
0
0
Non migrant HH
1
HH with returnee(s) or migrant(s) abroad
Presence of migrant in the HH during the census
0
0
1
Return migrant
2
Partner of a migrant
3
Other non migrant
Recruitment
0
0
0
Households in Africa
1
Snow balling
2
Public space
7
Padron
9
Other
Region of the survey
0
0
0
Dakar
12
Ile-de-France
21
Provence Alpes Cote d'Azur
22
Rhone Alpes
29
Campanie
30
Emilie Romagne
34
Lombardie
41
Toscane
44
Andalousie
45
Aragon
47
Iles Baleares
48
Canaries
52
Catalogne
56
Communauté de Madrid
57
Region de Murcie
60
Communauté de Valence
Town of the survey