IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / TCD_2021_ASPIE-ML_V01_M / variable [F1]
central

Adaptive Social Protection Program Productive Inclusion 2021
Endline Survey

Chad, 2021
Get Microdata
Reference ID
TCD_2021_ASPIE-ML_v01_M
Producer(s)
Patrick Premand, Pascale Schnitzer
Metadata
DDI/XML JSON
Study website
Created on
Apr 09, 2025
Last modified
Apr 09, 2025
Page views
57915
Downloads
26
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

A l'enquêteur: dites 'voici la liste des membres du ménage' : [LIRE TOUTE LA (showroster)

Data file: tchad_ie_follow_up_1_deid.dta

Overview

Valid: -
Invalid: 3532
Maximum: *
Type: Discrete
Decimal: 0
Start: 488
End: 489
Width: 2
Range: - *
Format: Numeric

Questions and instructions

Categories
Value Category
-1 Tous les membres du ménage
0 Personnes hors du ménage
1 ${firstname_mem1}, ${lastname_mem1} (Age : ${age_mem1})
2 ${firstname_mem2}, ${lastname_mem2} (Age : ${age_mem2})
3 ${firstname_mem3}, ${lastname_mem3} (Age : ${age_mem3})
4 ${firstname_mem4}, ${lastname_mem4} (Age : ${age_mem4})
5 ${firstname_mem5}, ${lastname_mem5} (Age : ${age_mem5})
6 ${firstname_mem6}, ${lastname_mem6} (Age : ${age_mem6})
7 ${firstname_mem7}, ${lastname_mem7} (Age : ${age_mem7})
8 ${firstname_mem8}, ${lastname_mem8} (Age : ${age_mem8})
9 ${firstname_mem9}, ${lastname_mem9} (Age : ${age_mem9})
10 ${firstname_mem10}, ${lastname_mem10} (Age : ${age_mem10})
11 ${firstname_mem11}, ${lastname_mem11} (Age : ${age_mem11})
12 ${firstname_mem12}, ${lastname_mem12} (Age : ${age_mem12})
13 ${firstname_mem13}, ${lastname_mem13} (Age : ${age_mem13})
14 ${firstname_mem14}, ${lastname_mem14} (Age : ${age_mem14})
15 ${firstname_mem15}, ${lastname_mem15} (Age : ${age_mem15})
16 ${firstname_mem16}, ${lastname_mem16} (Age : ${age_mem16})
17 ${firstname_mem17}, ${lastname_mem17} (Age : ${age_mem17})
18 ${firstname_mem18}, ${lastname_mem18} (Age : ${age_mem18})
19 ${firstname_mem19}, ${lastname_mem19} (Age : ${age_mem19})
20 ${firstname_mem20}, ${lastname_mem20} (Age : ${age_mem20})
21 ${firstname_mem21}, ${lastname_mem21} (Age : ${age_mem21})
22 ${firstname_mem22}, ${lastname_mem22} (Age : ${age_mem22})
23 ${firstname_mem23}, ${lastname_mem23} (Age : ${age_mem23})
24 ${firstname_mem24}, ${lastname_mem24} (Age : ${age_mem24})
25 ${firstname_mem25}, ${lastname_mem25} (Age : ${age_mem25})
26 ${firstname_mem26}, ${lastname_mem26} (Age : ${age_mem26})
27 ${firstname_mem27}, ${lastname_mem27} (Age : ${age_mem27})
28 ${firstname_mem28}, ${lastname_mem28} (Age : ${age_mem28})
29 ${firstname_mem29}, ${lastname_mem29} (Age : ${age_mem29})
30 ${firstname_mem30}, ${lastname_mem30} (Age : ${age_mem30})
31 ${firstname_mem31}, ${lastname_mem31} (Age : ${age_mem31})
32 ${firstname_mem32}, ${lastname_mem32} (Age : ${age_mem32})
33 ${firstname_mem33}, ${lastname_mem33} (Age : ${age_mem33})
34 ${firstname_mem34}, ${lastname_mem34} (Age : ${age_mem34})
35 ${firstname_mem35}, ${lastname_mem35} (Age : ${age_mem35})
36 ${firstname_mem36}, ${lastname_mem36} (Age : ${age_mem36})
37 ${firstname_mem37}, ${lastname_mem37} (Age : ${age_mem37})
38 ${firstname_mem38}, ${lastname_mem38} (Age : ${age_mem38})
39 ${firstname_mem39}, ${lastname_mem39} (Age : ${age_mem39})
40 ${firstname_mem40}, ${lastname_mem40} (Age : ${age_mem40})
41 ${firstname_mem41}, ${lastname_mem41} (Age : ${age_mem41})
42 ${firstname_mem42}, ${lastname_mem42} (Age : ${age_mem42})
43 ${firstname_mem43}, ${lastname_mem43} (Age : ${age_mem43})
44 ${firstname_mem44}, ${lastname_mem44} (Age : ${age_mem44})
45 ${firstname_mem45}, ${lastname_mem45} (Age : ${age_mem45})
46 ${firstname_mem46}, ${lastname_mem46} (Age : ${age_mem46})
47 ${firstname_mem47}, ${lastname_mem47} (Age : ${age_mem47})
48 ${firstname_mem48}, ${lastname_mem48} (Age : ${age_mem48})
49 ${firstname_mem49}, ${lastname_mem49} (Age : ${age_mem49})
50 ${firstname_mem50}, ${lastname_mem50} (Age : ${age_mem50})
51 ${firstname_mem51}, ${lastname_mem51} (Age : ${age_mem51})
52 ${firstname_mem52}, ${lastname_mem52} (Age : ${age_mem52})
53 ${firstname_mem53}, ${lastname_mem53} (Age : ${age_mem53})
54 ${firstname_mem54}, ${lastname_mem54} (Age : ${age_mem54})
55 ${firstname_mem55}, ${lastname_mem55} (Age : ${age_mem55})
56 ${firstname_mem56}, ${lastname_mem56} (Age : ${age_mem56})
57 ${firstname_mem57}, ${lastname_mem57} (Age : ${age_mem57})
58 ${firstname_mem58}, ${lastname_mem58} (Age : ${age_mem58})
59 ${firstname_mem59}, ${lastname_mem59} (Age : ${age_mem59})
60 ${firstname_mem60}, ${lastname_mem60} (Age : ${age_mem60})
Sysmiss
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.
Back to Catalog
IHSN Survey Catalog

© IHSN Survey Catalog, All Rights Reserved.