Sénégal, France, Italie, Espagne - Enquête sur les migrations entre l'Afrique et l'Europe - Sénégal (2008)
ID de référence | SEN-INED-MAFE-2008 |
Année | 2007 - 2008 |
Pays | Sénégal, France, Italie, Espagne |
Producteur(s) | Cris Beauchemin - Institut national d’études démographiques (France) |
Bailleur(s) | Septième programme-cadre de la Communauté européenne - - Institut national d’études démographiques (France) - INED - Agence nationale de la recherche (France) - ANR - Région Ile- de-France - IDF - Programme FSP "Migrations int |
Collection(s) | |
Métadonnées | Documentation au format PDF |
Créé le
Sep 12, 2017
Dernière modification
Sep 12, 2017
Affichage par page
939431
- sn_qm_household
- sn_qm_indiv
- sn_qb_general
- sn_qb_union
- sn_qb_children
- sn_qb_house
- sn_qb_activity
- sn_qb_assets
- sn_qb_mig_attempts
- sn_qb_migration
- sn_qb_return
- sn_qb_network
- sn_qb_short_return
- sn_qb_short_stay
- sn_qb_citizenship
- sn_qb_asylum
- sn_qb_residence_perm
it - sn_qb_work_permit
- sn_qb_transfer
- sn_qb_association
Groupes de variables
- SENEGAL HOUSEHOLD QUESTIONNAIRE
- SENEGAL BIOGRAPHIC QUESTIONNAIRE
- 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
- Migratory status
- Information based on the biographical grid
- Interviewer's observations
- Survey variables
- Senegal union dataset
- Senegal children dataset
- Senegal house dataset
- Senegal activity dataset
- Senegal assets dataset
- Senegal migration attempts dataset
- Senegal migration dataset
- Senegal return dataset
- Senegal network dataset
- Senegal short return dataset
- Senegal short stay dataset
- Senegal citizenship dataset
- Senegal asylum dataset
- Senegal residence permit dataset
- Senegal work permit dataset
- Senegal transfer dataset
- Senegal association dataset
- Senegal general dataset
Dictionnaire de données
Fichier de données: sn_qb_general
Contenu | !! One line per interviewee !! This dataset contains variables that do not very over time, i.e. answers to the introductory module of the questionnaire and to variables from the inter-modules of the questionnaire, plus some computed variables. As for variables statu_mig, migr_cur, migr_ret, migr_cjt and migr_no: a same individual can be coded 1 in several of the migratory status variables; e.g. a same individual can be both returnee and a partner of a migrant at the time of the survey. NB: these variables may show results different from the stratification variable (strata_ind), which content was determined by answers given by proxy respondents in the household surveys. These variables (migr_*, presented in this table) are computed using the information obtained in the biographic surveys. All MAFE's biographic files include the same 18 variables listed below: - ident - id_country - n_menage - n_indiv - num_dr - strata_area - strata_hh - strata_ind - q1 - q1a - age_survey - q18 - flag_age - flag_arrival - flag_visitor (exception: only available for MAFE Senegal) - weight_eur - weight_all - weight_ctry |
Enregistrements | 0 |
Variable(s) | 153 |
Données manquantes | Due to the files conversion, all "Refuse to answer", "No answer" and "Don't know" values appear here in missing frequencies. |
Notes | All "Yes" / "No" answers have been recoded, in order to facilitate analyses. In the questionnaire code, "No" was 2. It is now 0 in the dataset code. In both cases "Yes" is 1. The multiple answers variables are those where respondents could give more than one answer. To have a better view of these answers and to make the analysis easier, these variables are dichotomised in the datasets: for each possible modality a dichotomous variable was created (0 = No ; 1 = Yes). There are three different weight variables in the data files of the MAFE individual surveys. They were computed at three different levels: - weight_ctry is the variable to use when working on a single country (for example, the Senegalese population sampled only in Senegal, or in any single European country). - weight_eur is the variable to use when working on the European countries pooled together (for example, the Senegalese population sampled in France, Italy and Spain). It shoud not be used if the analyses include individuals surveyed in Africa. - weight_all is the variable to use when working on all countries of the MAFE survey (for example, Senegalese population from Senegalese, French, Italian and Spanish samples). For details on weight computation, see Schoumaker et al. (2013), a document that also provides information on when and how to use weights with the MAFE data (Methodological note 6 - see related materials). |
Variables
Nom | Libellé | Question | |
q600t | Number of transit stays | 600T. |
|
q600i | Number of set stays | 600I. |
|
q600m | Number of long stays | 600M. |
|
q600tot | Total number of stays | 600TOT. Total: |
|
q24 | Contribution to associations | Q24. In the time that you spent abroad, were you at any time paying contributions or membership fees to one or more associations (including religious organisations) that finance projects in Senegal or support Senegalese migrants in Europe? |
|
q25 | Did you seek asylum | Q25. Over the years that you lived outside Senegal, did you seek asylum? |
|
q700s | Number of short returns | 700S. |
|
q700r | Number of long returns | 700R. |
|
q700t | Total number of returns | 700TOT. Total: |
|
remarques | Remarks | Would you like to make any comments or give us your opinion about this questionnaire or this study? |
|
h_fin | Hour of the end of the interview | END TIME: |
|
e1 | This person was | E1. This person was: |
|
e1a | For what reason was she/he reluctant | E1A. For what reasons was he/she reluctant to participate? And which arguments enabled you to convince him/her in the end? |
|
e2 | The reception by the respondent was | E2. The reception by the respondent was: |
|
e2r | On which questions the respondent was reluctant | E2R. Which ones? |
|
e2a | Specify the "Other" (e2) | E2. The reception by the respondent was: If "Other" => Specify |
|
e3 | In what language did you conduct the interview | E3. In what language(s) did you conduct the interview? |
|
e3_1 | 1st language used in the interview | E3. In what language(s) did you conduct the interview? 1st language |
|
e3_2 | 2nd language used in the interview | E3. In what language(s) did you conduct the interview? 2nd language |
|
e3_3 | 3rd language used in the interview | E3. In what language(s) did you conduct the interview? 3rd language |
|
e3a | Other language used in the interview | E3. In what language(s) did you conduct the interview? If "Other" => Specify |
|
e4 | Were any other person present during the interview | E4. And were any other person(s) present during the interview? |
|
e4i | Did you have the impression she/he influenced the answers | E4I. Did you have the impression that this presence influenced the respondent in his/her answers? |
|
e4q | On which questions the respondent was influenced | E4Q. Which ones? |
|
e5 | Where there any interruptions | E5. Were there any interruptions? |
|
e5a | Specify (interruptions) | E5A. Specify |
|
e6 | Was the respondent's general comprehension of the questions... | E6. According to you, was the respondent's general comprehension of the questions: |
|
e7 | Did the respondent have problems answering certain questions | E7. And did the respondent have problems answering certain questions? |
|
e7d | On which questions the respondent had problems | E7D. Which ones? N° |
|
e8 | Did the respondent refuse to answer certain questions | E8. Did the respondent refuse to answer certain questions? |
|
e8r | On which questions the respondent refused to answer | E8R. Which ones? N° |
|
q900 | Number of personal network who have lived abroad | 900. Count in the AGEVEN the number of family or personal network members who have lived outside Senegal _ _ and fill in one column per person. |
|
q1000 | Number of returns | 1000. Count in the Ageven all returns (R1, R2, etc., and each AR) without including the returns to settle marked as "R INST": _ _ |
|
q1100 | Number of stays abroad | 1100. Count in the Ageven the stays outside Senegal marked VAC and AFF: _ _ ATTENTION: don't count those stays marked INST or TRANSIT |
|
q1200 | Number of nationality changes | 1200. Count in the Ageven the number of nationality changes: _ _ |
|
q1300 | Number of sought asylum | 1300. Count in the Ageven the number of times ego sought asylum: |
|
q1410 | Number of residence status | 1410. Number of periods of residence status: _ _ |
|
q1510 | Number of work permits | 1510. Number of periods of work permits: _ _ |
|
q1600 | Number of regular transfers | 1600. Count in the Ageven the periods of REGULAR TRANSFERS: _ _ and fill in one column for each period |
|
q1700 | Number of contributions to associations | 1700. Count in the Ageven the number of periods Ego paid CONTRIBUTIONS TO ASSOCIATIONS: _ _ and fill in one column for each period |
|
rem_ageven | Ageven remarks | COMMENTS AND OBSERVATIONS |
|
statu_mig | Migration status | ||
migr_cur | Current migrant | ||
migr_ret | Return migrant | ||
migr_cjt | Migrant's spouse | ||
migr_no | No migrant | ||
year | Year of survey | ||
flag_age | Less than 25 years and more than 75 years | ||
flag_arrival | First migration in Europe before 18 | ||
flag_visitor | Resident in Europe but surveyed in Africa | ||
weight_eur | Weighting normalized on the 3 european countries | ||
weight_all | Weighting normalized on the 4 countries | ||
weight_ctry | Weighting normalized by country | ||
Total variable(s):
153 |