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    Home / Central Data Catalog / ETH_2010_FSPIE_V01_M / variable [F1]
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Impact Evaluation of the Food Security Project for Poorer Rural Households in Ethiopia 2010

Ethiopia, 2010
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Reference ID
ETH_2010_FSPIE_v01_M
Producer(s)
Markus Goldstein
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
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  • fsp_cgp_neighbor_anonymized
  • m1s2a_anonymized
  • m1s2b
  • m1s2b_c_anonymized
  • m1s2c
  • m1s3
  • m2s2
  • m2s3a1
  • m2s3a2
  • m2s3b1
  • m2s3b2
  • m2s3c1
  • m2s3c2
  • m2s4a
  • m2s4b
  • m2s4c
  • m2s4d
  • m2s5
  • m2s6a
  • m2s6b
  • m3s2
  • m3s3
  • m3s4
  • m3s5
  • m3s6
  • m3s7
  • m4q1
  • m4q2
  • m4q3
  • m4q4
  • m4s1
  • m4s2
  • m4s3
  • m4s3b
  • m4s4
  • m4s4b
  • m5q42
  • m5s2
  • m5s2b
  • m5s3
  • m5s4
  • m5s4b
  • m5s5
  • m5s5a
  • m5s5b
  • m5s6_anonymized
  • m6s2
  • m6s3
  • m6s4
  • m6s4a
  • m6s4b
  • m6s5a
  • m6s5b
  • m7s2
  • m7s3
  • m7s4
  • m7s5
  • m7s6
  • m7s7

woreda (woreda)

Data file: fsp_cgp_neighbor_anonymized

Overview

Valid: 5926
Invalid: 0
Type: Discrete
Start: 39
End: 62
Width: 24
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
A/Wenberta 1
0%
ADAMI-TULU 49
0.8%
ADERKAY 2
0%
ARTUMA FURSI 15
0.3%
ASEKO 25
0.4%
Abalasha 1
0%
Abaya 25
0.4%
Adamitulu Gido Kombolcha 1
0%
Adea Berga 25
0.4%
Adiarkay 98
1.7%
Artuma Fursi 60
1%
Asegeda Tsimbila 25
0.4%
Atsbi Wombera 25
0.4%
Atsbi Womberta 24
0.4%
Atsibi Wenberta 50
0.8%
BOLOSO BONBE 1
0%
BULA HORA 9
0.2%
BULE HORA 30
0.5%
Boke 50
0.8%
Boloso Bombe 50
0.8%
Boloso Sore 97
1.6%
Boloso bombe 24
0.4%
Bolso Sorie 3
0.1%
Boset 50
0.8%
Bugna 50
0.8%
Bule ore 11
0.2%
Burji Special 50
0.8%
Burji special 49
0.8%
CHENA KESEN 3
0.1%
CHINAKSEN 47
0.8%
Chiro 100
1.7%
DABAT 5
0.1%
DEBARK 3
0.1%
DEBRESINA 1
0%
DESEZURIA 1
0%
DOBA 46
0.8%
Dahna 25
0.4%
Damboya 50
0.8%
Damote Pulasa 25
0.4%
Damote sore 25
0.4%
Debark 22
0.4%
Debat 45
0.8%
Debre Sina 71
1.2%
Debresina 74
1.2%
Deglina 4
0.1%
Denba Gofa 1
0%
Dessie Zuria 99
1.7%
Doba 21
0.4%
Dobba 83
1.4%
Dugna Fango 50
0.8%
Duna 25
0.4%
ENBSE SARMIDR 1
0%
ENEBISE SARMIDIR 2
0%
East Belesa 99
1.7%
Emba Alage 24
0.4%
Embalage 25
0.4%
Enbse 97
1.6%
Fedis 100
1.7%
GALANA 22
0.4%
GORSUM 2
0%
GUBALAFTO 6
0.1%
GURSUM 48
0.8%
Gaizigibela 75
1.3%
Ganta Afshome 50
0.8%
Gemechis 99
1.7%
Gemechisa 1
0%
Gera mider 97
1.6%
Gidan 25
0.4%
Ginir 25
0.4%
Gololcha 25
0.4%
Gondor zuria 25
0.4%
Goro Gotu 8
0.1%
Goro gutu 92
1.6%
Gubalafto 19
0.3%
Gulo Mekeda 128
2.2%
HLANA 3
0.1%
Hawuzen 11
0.2%
Hawzen 89
1.5%
Hetosa 25
0.4%
Hintalo Wagirat 25
0.4%
Humbo 25
0.4%
Irob 1
0%
Irobe 24
0.4%
JILE TIMUGA 1
0%
Jido Kombalcha 25
0.4%
Jile Tumuga 24
0.4%
Kacha Bira 25
0.4%
Kididu Gamela 75
1.3%
Kindao Didaye 25
0.4%
Kindo Keyisha 25
0.4%
Kindo didaye 50
0.8%
Kola Tembe 49
0.8%
Kola temben 1
0%
Konso 100
1.7%
Kucha 85
1.4%
Kuyu 50
0.8%
LAY GAYINT 1
0%
LEBO KEMIKEM 1
0%
LIMO KEMIKEM 5
0.1%
Lahilay Adiabo 98
1.7%
Lay Maichew 49
0.8%
Lay/Adiyabo 27
0.5%
Laygaynt 49
0.8%
Laylay Adiabo 25
0.4%
LegaMibo 25
0.4%
Legehida 9
0.2%
Legieda 66
1.1%
M/zana 9
0.2%
MENZ GERAMIDIR 3
0.1%
MIDAGA-TOLA 25
0.4%
MIRAK BELESA 1
0%
Medebay Zona 91
1.5%
Menz Keya 50
0.8%
Merti 23
0.4%
Meterabi 25
0.4%
Midaga-Tola 25
0.4%
Na'eder Adet 17
0.3%
Nadier Adet 133
2.2%
ODO SHAKISO 89
1.5%
Oda Shakiso 11
0.2%
Offa 72
1.2%
Ofla 39
0.7%
Raitu 25
0.4%
SORO 23
0.4%
Samre 33
0.6%
Seharte Semra 17
0.3%
Seharti Samire 25
0.4%
Shebel berenta 50
0.8%
Sodo Zuria 25
0.4%
Soro 87
1.5%
Ssesi Tsadamba 25
0.4%
Ta/Adiyabo 15
0.3%
Tahitay Adiabo 85
1.4%
Tahitay Qoraro 50
0.8%
Tanqa Abergele 48
0.8%
Tenbaro 25
0.4%
Tselemti 25
0.4%
Uba Debere Tsehay 142
2.4%
Uba Debrstehay 8
0.1%
WERELU 5
0.1%
Wereilu 95
1.6%
Werelehi 2
0%
Weri lkhe 97
1.6%
Werlehie 1
0%
Zala Wereda 110
1.9%
Zalla 15
0.3%
Zeway Dugda 65
1.1%
Zimehida 22
0.4%
Zway Dugda 85
1.4%
boloso sore 1
0%
burji special 1
0%
jeju 25
0.4%
kachabira 40
0.7%
kurcha 15
0.3%
libo kemkem 94
1.6%
merti 2
0%
offa 3
0.1%
ofla 11
0.2%
te/abergele 2
0%
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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