Adaptive Social Protection Program Productive Inclusion 2018
Baseline Survey
Chad, 2018
Get Microdata
Reference ID
TCD_2018_ASPIE-BL_v01_M
Producer(s)
Patrick Premand, Pascale Schnitzer
Created on
Apr 09, 2025
Last modified
Apr 09, 2025
Page views
4431
Downloads
11
- Data files
- tchad_ie_baseline9.dta
- tchad_ie_baseline9_gp_consent_section_roster_rpt_mem.dta
- tchad_ie_baseline9_gp_consent_section_members_rpt_mem2.dta
- tchad_ie_baseline9_gp_consent_section_emploi_rpt_empl.dta
- tchad_ie_baseline9_gp_consent_section_emploi_rpt_wrk.dta
- tchad_ie_baseline9_gp_empl_cond_rpt_sal.dta
- tchad_ie_baseline9_gp_consent_section_finance_part_tontines_rpt_ton.dta
- tchad_ie_baseline9_gp_consent_section_finance_part_othersave_gp_savemoreinfo.dta
- tchad_ie_baseline9_gp_consent_section_finance_part_credit_rpt_cred.dta
- tchad_ie_baseline9_gp_consent_section_foodconsumption_rpt_consum2.dta
- tchad_ie_baseline9_gp_consent_section_foodconsumption_rpt_consum1.dta
- tchad_ie_baseline9_gp_consent_section_nfconsumption_gp_nonfood_rpt_nonfood.dta
- tchad_ie_baseline9_gp_consent_section_nfconsumption_gp_cel_rpt_cel2.dta
- tchad_ie_baseline9_gp_consent_section_nfconsumption_gp_cel_rpt_cel1.dta
- tchad_ie_baseline9_gp_consent_section_assets_rpt_hh_ass.dta
- tchad_ie_baseline9_gp_consent_section_assets_rpt_ag_ass.dta
- tchad_ie_baseline9_gp_consent_section_agriculture_section_plot_rpt_plots.dta
- tchad_ie_baseline9_gp_consent_section_agriculture_section_cropsrain2_rpt_rcrops2.dta
- tchad_ie_baseline9_gp_consent_section_agriculture_section_cropsrain1_rpt_plotrain.dta
- tchad_ie_baseline9_gp_consent_section_agriculture_section_cropsdry2_rpt_dcrops2.dta
- tchad_ie_baseline9_gp_consent_section_agriculture_section_cropsdry1_rpt_plotdry.dta
- tchad_ie_baseline9_gp_consent_section_livestock_rpt_ani1.dta
- tchad_ie_baseline9_gp_rainkeycond_rpt_rcrops.dta
- tchad_ie_baseline9_gp_drykeycond_rpt_dcrops.dta
- tchad_ie_baseline9_gp_consent_section_social_rpt_conf.dta
- tchad_ie_baseline9_gp_consent_section_programs_rpt_prog.dta
- tchad_ie_baseline9_gp_consent_section_transfers_rpt_trans.dta
- tchad_ie_baseline9_gp_consent_section_na_rpt_bus1.dta
- tchad_ie_baseline9_gp_consent_section_na_gp_bus2_rpt_bus2.dta
- all_villages.dta
- pmt_data_hh_final_revisedv2.dta
8,17 AGENT ENQUETEUR : Qui était le répondant pour cette section ? (resp_relation)
Data file: tchad_ie_baseline9.dta
Overview
Valid:
1659
Invalid:
81
Minimum:
1
Maximum:
15
Type:
Discrete
Decimal:
0
Start:
3546
End:
3547
Width:
2
Range:
1 - 15
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -1 | Tous les membres du ménage | 0 |
0%
|
| 0 | Personnes hors du ménage | 0 |
0%
|
| 1 | ${firstname_mem1}, ${lastname_mem1} (Age : ${age_mem1}) | 552 |
33.3%
|
| 2 | ${firstname_mem2}, ${lastname_mem2} (Age : ${age_mem2}) | 1019 |
61.4%
|
| 3 | ${firstname_mem3}, ${lastname_mem3} (Age : ${age_mem3}) | 39 |
2.4%
|
| 4 | ${firstname_mem4}, ${lastname_mem4} (Age : ${age_mem4}) | 16 |
1%
|
| 5 | ${firstname_mem5}, ${lastname_mem5} (Age : ${age_mem5}) | 7 |
0.4%
|
| 6 | ${firstname_mem6}, ${lastname_mem6} (Age : ${age_mem6}) | 7 |
0.4%
|
| 7 | ${firstname_mem7}, ${lastname_mem7} (Age : ${age_mem7}) | 8 |
0.5%
|
| 8 | ${firstname_mem8}, ${lastname_mem8} (Age : ${age_mem8}) | 6 |
0.4%
|
| 9 | ${firstname_mem9}, ${lastname_mem9} (Age : ${age_mem9}) | 1 |
0.1%
|
| 10 | ${firstname_mem10}, ${lastname_mem10} (Age : ${age_mem10}) | 2 |
0.1%
|
| 11 | ${firstname_mem11}, ${lastname_mem11} (Age : ${age_mem11}) | 1 |
0.1%
|
| 12 | ${firstname_mem12}, ${lastname_mem12} (Age : ${age_mem12}) | 0 |
0%
|
| 13 | ${firstname_mem13}, ${lastname_mem13} (Age : ${age_mem13}) | 0 |
0%
|
| 14 | ${firstname_mem14}, ${lastname_mem14} (Age : ${age_mem14}) | 0 |
0%
|
| 15 | ${firstname_mem15}, ${lastname_mem15} (Age : ${age_mem15}) | 1 |
0.1%
|
| 16 | ${firstname_mem16}, ${lastname_mem16} (Age : ${age_mem16}) | 0 |
0%
|
| 17 | ${firstname_mem17}, ${lastname_mem17} (Age : ${age_mem17}) | 0 |
0%
|
| 18 | ${firstname_mem18}, ${lastname_mem18} (Age : ${age_mem18}) | 0 |
0%
|
| 19 | ${firstname_mem19}, ${lastname_mem19} (Age : ${age_mem19}) | 0 |
0%
|
| 20 | ${firstname_mem20}, ${lastname_mem20} (Age : ${age_mem20}) | 0 |
0%
|
| 21 | ${firstname_mem21}, ${lastname_mem21} (Age : ${age_mem21}) | 0 |
0%
|
| 22 | ${firstname_mem22}, ${lastname_mem22} (Age : ${age_mem22}) | 0 |
0%
|
| 23 | ${firstname_mem23}, ${lastname_mem23} (Age : ${age_mem23}) | 0 |
0%
|
| 24 | ${firstname_mem24}, ${lastname_mem24} (Age : ${age_mem24}) | 0 |
0%
|
| 25 | ${firstname_mem25}, ${lastname_mem25} (Age : ${age_mem25}) | 0 |
0%
|
| 26 | ${firstname_mem26}, ${lastname_mem26} (Age : ${age_mem26}) | 0 |
0%
|
| 27 | ${firstname_mem27}, ${lastname_mem27} (Age : ${age_mem27}) | 0 |
0%
|
| 28 | ${firstname_mem28}, ${lastname_mem28} (Age : ${age_mem28}) | 0 |
0%
|
| 29 | ${firstname_mem29}, ${lastname_mem29} (Age : ${age_mem29}) | 0 |
0%
|
| 30 | ${firstname_mem30}, ${lastname_mem30} (Age : ${age_mem30}) | 0 |
0%
|
| 31 | ${firstname_mem31}, ${lastname_mem31} (Age : ${age_mem31}) | 0 |
0%
|
| 32 | ${firstname_mem32}, ${lastname_mem32} (Age : ${age_mem32}) | 0 |
0%
|
| 33 | ${firstname_mem33}, ${lastname_mem33} (Age : ${age_mem33}) | 0 |
0%
|
| 34 | ${firstname_mem34}, ${lastname_mem34} (Age : ${age_mem34}) | 0 |
0%
|
| 35 | ${firstname_mem35}, ${lastname_mem35} (Age : ${age_mem35}) | 0 |
0%
|
| 36 | ${firstname_mem36}, ${lastname_mem36} (Age : ${age_mem36}) | 0 |
0%
|
| 37 | ${firstname_mem37}, ${lastname_mem37} (Age : ${age_mem37}) | 0 |
0%
|
| 38 | ${firstname_mem38}, ${lastname_mem38} (Age : ${age_mem38}) | 0 |
0%
|
| 39 | ${firstname_mem39}, ${lastname_mem39} (Age : ${age_mem39}) | 0 |
0%
|
| 40 | ${firstname_mem40}, ${lastname_mem40} (Age : ${age_mem40}) | 0 |
0%
|
| 41 | ${firstname_mem41}, ${lastname_mem41} (Age : ${age_mem41}) | 0 |
0%
|
| 42 | ${firstname_mem42}, ${lastname_mem42} (Age : ${age_mem42}) | 0 |
0%
|
| 43 | ${firstname_mem43}, ${lastname_mem43} (Age : ${age_mem43}) | 0 |
0%
|
| 44 | ${firstname_mem44}, ${lastname_mem44} (Age : ${age_mem44}) | 0 |
0%
|
| 45 | ${firstname_mem45}, ${lastname_mem45} (Age : ${age_mem45}) | 0 |
0%
|
| 46 | ${firstname_mem46}, ${lastname_mem46} (Age : ${age_mem46}) | 0 |
0%
|
| 47 | ${firstname_mem47}, ${lastname_mem47} (Age : ${age_mem47}) | 0 |
0%
|
| 48 | ${firstname_mem48}, ${lastname_mem48} (Age : ${age_mem48}) | 0 |
0%
|
| 49 | ${firstname_mem49}, ${lastname_mem49} (Age : ${age_mem49}) | 0 |
0%
|
| 50 | ${firstname_mem50}, ${lastname_mem50} (Age : ${age_mem50}) | 0 |
0%
|
| 51 | ${firstname_mem51}, ${lastname_mem51} (Age : ${age_mem51}) | 0 |
0%
|
| 52 | ${firstname_mem52}, ${lastname_mem52} (Age : ${age_mem52}) | 0 |
0%
|
| 53 | ${firstname_mem53}, ${lastname_mem53} (Age : ${age_mem53}) | 0 |
0%
|
| 54 | ${firstname_mem54}, ${lastname_mem54} (Age : ${age_mem54}) | 0 |
0%
|
| 55 | ${firstname_mem55}, ${lastname_mem55} (Age : ${age_mem55}) | 0 |
0%
|
| 56 | ${firstname_mem56}, ${lastname_mem56} (Age : ${age_mem56}) | 0 |
0%
|
| 57 | ${firstname_mem57}, ${lastname_mem57} (Age : ${age_mem57}) | 0 |
0%
|
| 58 | ${firstname_mem58}, ${lastname_mem58} (Age : ${age_mem58}) | 0 |
0%
|
| 59 | ${firstname_mem59}, ${lastname_mem59} (Age : ${age_mem59}) | 0 |
0%
|
| 60 | ${firstname_mem60}, ${lastname_mem60} (Age : ${age_mem60}) | 0 |
0%
|
| Sysmiss | 81 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.