The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / IMPACT_EVALUATION / ETH_2014_WALN-BL_V01_M / variable [V1336]
impact_evaluation

Women Agribusiness Leaders Network Impact Evaluation 2014, Baseline Data

Ethiopia, 2014
Get Microdata
Reference ID
ETH_2014_WALN-BL_v01_M
DOI
https://doi.org/10.48529/z7ke-ry14
Producer(s)
M. Mehrab Bin Bakhtiar, Gautam Bastian, Eliana Carranza, Markus Goldstein
Collection(s)
Impact Evaluation Surveys Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 26, 2018
Last modified
Jan 26, 2018
Page views
88651
Downloads
7767
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • waln_baseline_data

N.2.1.44 Can you please list mentees names? (T_505_5)

Data file: waln_baseline_data

Overview

Valid: 199
Invalid: 0
Type: Discrete
Start: 11375
End: 11395
Width: 21
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABEBAW GETACHEW 1
0.5%
ABEBECH 1
0.5%
ADANECH GETACHEW 1
0.5%
ALEM 1
0.5%
ALEM NEHGA 1
0.5%
AMARECH AYIZA 1
0.5%
AMSALE BAREGA 1
0.5%
AREGASH KASSA 1
0.5%
ASEGEDJ ARAGIE 1
0.5%
ASQUAL KAHASSAY 1
0.5%
AZMERA 1
0.5%
Agere 1
0.5%
Albachew Dessie 1
0.5%
Almaz 1
0.5%
Almaz Lemiso 1
0.5%
Almaz Obassa 1
0.5%
Alte Wayu 1
0.5%
Amanuel 1
0.5%
Amsale Bashaye 1
0.5%
Aregash 1
0.5%
Ashebir 1
0.5%
Aster Matios 1
0.5%
Ayale 1
0.5%
Azeb Gebrewuhad 1
0.5%
BADIRIYA 1
0.5%
BELAYNESH TSEGAY 1
0.5%
BETY YIRGAW 1
0.5%
BOGALECH 1
0.5%
BUTIKA SHEFAW 1
0.5%
Berhet Negat 1
0.5%
Beshat 1
0.5%
Bezuayehu 1
0.5%
Birhane Demisse 1
0.5%
Biruk Tsegaye 1
0.5%
Dassash Haile 1
0.5%
Dijit Yetwale 1
0.5%
EMEBET KEBEDE 1
0.5%
EMITA SEYUM 1
0.5%
Embitu niguse 1
0.5%
Enanu Aderagew 1
0.5%
Etalem Mesegana 1
0.5%
Etalmi belew 1
0.5%
Etemach petros 1
0.5%
Etenesh Fikadu 1
0.5%
FATE ABAGARO 1
0.5%
FOZIYA MOHAMMADSANI 1
0.5%
FURDOSA FARIS 1
0.5%
Fikir 1
0.5%
GADISE 1
0.5%
GEDAM NESH DEMELEW 1
0.5%
GENET 1
0.5%
GETE TOBE 1
0.5%
Genet Bayeh 1
0.5%
HILIFTI 1
0.5%
Hana Tereda 1
0.5%
Haregu Tesfay 1
0.5%
Hirut 1
0.5%
IMABET 1
0.5%
IRGO BERHE 1
0.5%
JEMILA 1
0.5%
Jemila 1
0.5%
KEBEBUSH BERHE 1
0.5%
KEDIJA ALI 1
0.5%
KEDIJA MUHABA 1
0.5%
Lakech Ayele 1
0.5%
Lealem urgecha 1
0.5%
Lemlem Abay 1
0.5%
Lemlem Tesfay 1
0.5%
Litay Alemayehu 1
0.5%
MARAME ISA 1
0.5%
MEBRAHTE MAMO 1
0.5%
Mareshet 1
0.5%
Masho Bekele 1
0.5%
Mhret Gebreyesus 1
0.5%
Mulu Alem 1
0.5%
Mulu Tsega 1
0.5%
Mulunesh 1
0.5%
Nefisa Arabo 1
0.5%
SAMIYA 1
0.5%
SENAIT 1
0.5%
SITINA TEMAM 1
0.5%
Sisit 1
0.5%
TADELECH FEREJA 1
0.5%
TAMO BERhe 1
0.5%
TEKIE YIFTER 1
0.5%
TESFANESH GEBRESILASE 1
0.5%
TIGIST MELESE 1
0.5%
TSEHAY GEBRE MIKAEL 1
0.5%
TSEHAYNESHI 1
0.5%
Tage 1
0.5%
Tarikua Gua 1
0.5%
Tenu 1
0.5%
Tigist Gebre 1
0.5%
Tigist Hailu 1
0.5%
Tigist Melaku 1
0.5%
Tirualem Abate 1
0.5%
Tiruwork 1
0.5%
Tsehay Gosaye 1
0.5%
Tsehay Tegabu 1
0.5%
WEYENISHIT AYALEW 1
0.5%
Workaferahu kidane 1
0.5%
Worke 1
0.5%
YOBDAR 1
0.5%
YUWO DIKA 1
0.5%
Yeshe 1
0.5%
ZEHARA JOBIR 1
0.5%
ZENEBECH TADESE 1
0.5%
Zahra 1
0.5%
Zaritu Hirpasa 1
0.5%
Zenash Beru 1
0.5%
Zenebech Tesfaye 1
0.5%
Zewde Debas 1
0.5%
abadit haftu 1
0.5%
abeba 1
0.5%
abeba mehari 1
0.5%
abechu 1
0.5%
abechu meheretu 1
0.5%
aberehit 1
0.5%
afera samueal 1
0.5%
ahezay gebreegziabher 1
0.5%
alehegn bitew 1
0.5%
alema 1
0.5%
alemtsehay 1
0.5%
alemtsehay dulla 1
0.5%
alganesh gebru 1
0.5%
almaz illala 1
0.5%
askual gebresilasie 1
0.5%
ato nilay 1
0.5%
awotash alemu 1
0.5%
beza desta 1
0.5%
birtukan zeleke 1
0.5%
birye legesse 1
0.5%
bitaw mesfen 1
0.5%
buzayehu tadesse 1
0.5%
dambash tafere 1
0.5%
dinknezh checole 1
0.5%
emebet tsegaye 1
0.5%
eskedar 1
0.5%
etenesh hailu 1
0.5%
genet hailu 1
0.5%
gudaye desta 1
0.5%
hadas wolday 1
0.5%
haimanot 1
0.5%
haregewoyin 1
0.5%
helen belay 1
0.5%
hirut muhabaw 1
0.5%
hiwot 1
0.5%
hiwot hagos 1
0.5%
hsdash debesay 1
0.5%
kasachen 1
0.5%
kebre Darimo 1
0.5%
kirose reda 1
0.5%
lakech shibeshi 1
0.5%
lemlem gushsh 1
0.5%
letay 1
0.5%
letaybirhan 1
0.5%
letebrhan gebrekiros 1
0.5%
libanos gebregyorgis 1
0.5%
mebrihit 1
0.5%
meka 1
0.5%
mekdes eshetu 1
0.5%
meles demisse 1
0.5%
meseret enchalew 1
0.5%
mestawot 1
0.5%
metawot Baye 1
0.5%
metew niguse 1
0.5%
metsegba 1
0.5%
mhret berhe 1
0.5%
million 1
0.5%
misaye tigabu 1
0.5%
mulu 1
0.5%
mulu adisu 1
0.5%
mulu gebrehiwot 1
0.5%
mulu hagos 1
0.5%
mulu kiros 1
0.5%
rut 1
0.5%
saba 1
0.5%
senedu 1
0.5%
senia seid 1
0.5%
serkalem tefera 1
0.5%
sifre wale 1
0.5%
simegne 1
0.5%
tabita 1
0.5%
tadelech kumsa 1
0.5%
tame berhe 1
0.5%
tanges dejaw 1
0.5%
teje adane 1
0.5%
tihsh denalom 1
0.5%
tsehaynesh hagos 1
0.5%
weyentege mengeste 1
0.5%
wokea 1
0.5%
worke tesema 1
0.5%
woyinua meresa 1
0.5%
wubete Kinfe 1
0.5%
yetenayet gezu 1
0.5%
zemzem ahmed 1
0.5%
zerfnesh 1
0.5%
zewditu hailu 1
0.5%
zeyen mekurya 1
0.5%
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
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.