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    Home / Central Data Catalog / IMPACT_EVALUATION / TCD_2021_ASPIE-ML_V01_M / variable [F1]
impact_evaluation

Adaptive Social Protection Program Productive Inclusion 2021
Endline Survey

Chad, 2021
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Reference ID
TCD_2021_ASPIE-ML_v01_M
DOI
https://doi.org/10.48529/mfye-hx06
Producer(s)
Patrick Premand, Pascale Schnitzer
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 09, 2025
Last modified
Apr 09, 2025
Page views
60687
Downloads
130
  • Study Description
  • Data Description
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  • Data files
  • tchad_ie_follow_up_1_deid.dta
  • tchad_ie_follow_up_1_gp_consent_section_members_rpt_mem2.dta
  • tchad_ie_follow_up_1_gp_consent_section_roster_rpt_mem.dta
  • tchad_ie_follow_up_1_gp_consent_section_emploi_chef_gp_empl_cond_chef_rpt_sal_chef.dta
  • tchad_ie_follow_up_1_gp_consent_section_emploi_gp_empl_cond_rpt_sal.dta
  • tchad_ie_follow_up_1_gp_consent_section_finance_part_credit_rpt_cred.dta
  • tchad_ie_follow_up_1_gp_consent_section_finance_part_othersave_gp_savemoreinfo.dta
  • tchad_ie_follow_up_1_gp_consent_section_finance_part_savgroup_rpt_ton.dta
  • tchad_ie_follow_up_1_gp_consent_section_assets_rpt_ag_ass.dta
  • tchad_ie_follow_up_1_gp_consent_section_assets_rpt_hh_ass.dta
  • tchad_ie_follow_up_1_gp_consent_section_housing_r_improve.dta
  • tchad_ie_follow_up_1_gp_consent_section_foodconsumption_rpt_consum1.dta
  • tchad_ie_follow_up_1_gp_consent_section_foodconsumption_rpt_consum2.dta
  • tchad_ie_follow_up_1_gp_consent_section_nfconsumption_gp_cel_rpt_cel1.dta
  • tchad_ie_follow_up_1_gp_consent_section_nfconsumption_gp_cel_rpt_cel2.dta
  • tchad_ie_follow_up_1_gp_consent_section_nfconsumption_gp_nonfood_rpt_nonfood.dta
  • tchad_ie_follow_up_1_gp_consent_section_transfers_rpt_trans.dta
  • tchad_ie_follow_up_1_gp_consent_section_shocks_rpt_shocks2.dta
  • tchad_ie_follow_up_1_gp_consent_section_cashtrans_rpt_buytypes.dta
  • tchad_ie_follow_up_1_gp_consent_section_cashtrans_rpt_trans_send.dta
  • tchad_ie_follow_up_1_gp_consent_section_agriculture_section_cropsrain1_rpt_plotrain.dta
  • tchad_ie_follow_up_1_gp_consent_section_agriculture_section_cropsrain2_rpt_rcrops2.dta
  • tchad_ie_follow_up_1_gp_consent_section_agriculture_section_plots_rpt_plots.dta
  • tchad_ie_follow_up_1_gp_consent_section_livestock_r_four.dta
  • tchad_ie_follow_up_1_gp_consent_section_livestock_rpt_ani1.dta
  • tchad_ie_follow_up_1_gp_rainkeycond_rpt_rcrops.dta
  • tchad_ie_follow_up_1_gp_consent_section_na_gp_bus2_rpt_bus2.dta
  • tchad_ie_follow_up_1_gp_consent_section_programs_rpt_prog.dta

Parmi ces femmes, qui était la femme qui avait le plus d'enfants de moins de 1 (spouse_resp)

Data file: tchad_ie_follow_up_1_deid.dta

Overview

Valid: 309
Invalid: 3223
Minimum: 1
Maximum: 5
Type: Discrete
Decimal: 0
Start: 551
End: 552
Width: 2
Range: 1 - 5
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}) 7
2.3%
2 ${firstname_mem2}, ${lastname_mem2} (Age : ${age_mem2}) 226
73.1%
3 ${firstname_mem3}, ${lastname_mem3} (Age : ${age_mem3}) 67
21.7%
4 ${firstname_mem4}, ${lastname_mem4} (Age : ${age_mem4}) 8
2.6%
5 ${firstname_mem5}, ${lastname_mem5} (Age : ${age_mem5}) 1
0.3%
6 ${firstname_mem6}, ${lastname_mem6} (Age : ${age_mem6}) 0
0%
7 ${firstname_mem7}, ${lastname_mem7} (Age : ${age_mem7}) 0
0%
8 ${firstname_mem8}, ${lastname_mem8} (Age : ${age_mem8}) 0
0%
9 ${firstname_mem9}, ${lastname_mem9} (Age : ${age_mem9}) 0
0%
10 ${firstname_mem10}, ${lastname_mem10} (Age : ${age_mem10}) 0
0%
11 ${firstname_mem11}, ${lastname_mem11} (Age : ${age_mem11}) 0
0%
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}) 0
0%
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 3223
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.
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