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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F42]
impact_evaluation

Impact Evaluation of the Improvement of Land Governance to Increase Productivity of Small-Scale Farmers on Mailo-Land 2017

Uganda, 2017 - 2018
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Reference ID
UGA_2017_ILGUIE_v01_M
DOI
https://doi.org/10.48529/pg2d-3857
Producer(s)
Daniel Ali Ayalew, Klaus Deininger, Thea Hilhorst
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 03, 2021
Last modified
Mar 03, 2021
Page views
102092
Downloads
3893
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • ASEC1.dta
  • ASEC2A.dta
  • ASEC2B.dta
  • ASEC3A.dta
  • ASEC3A_33.dta
  • ASEC3A_33_a.dta
  • ASEC3B.dta
  • ASEC4A.dta
  • ASEC4A_1.dta
  • ASEC5A.dta
  • ASEC5A_1.dta
  • ASEC5B.dta
  • ASEC6A.dta
  • ASEC6B.dta
  • ASEC6C.dta
  • ASEC7A.dta
  • ASEC7B.dta
  • ASEC8.dta
  • ASEC9.dta
  • ASEC9_Ext.dta
  • ASEC10.dta
  • ASEC11.dta
  • GSEC1.dta
  • GSEC2.dta
  • GSEC3.dta
  • GSEC4.dta
  • GSEC5.dta
  • GSEC6.dta
  • GSEC7a.dta
  • GSEC7b.dta
  • GSEC8.dta
  • GSEC9a.dta
  • GSEC9b.dta
  • GSEC10.dta
  • GSEC11.dta
  • GSEC12.dta
  • GSEC13a.dta
  • GSEC13b.dta
  • GSEC13c.dta
  • GSEC13d.dta
  • GSEC13e_Male.dta
  • GSEC13f_female.dta
  • GSEC14.dta

5. EA (s1aq05a)

Data file: GSEC13f_female.dta

Overview

Valid: 6384
Invalid: -
Type: Discrete
Start: 151
End: 165
Width: 15
Range: -
Format: character

Questions and instructions

Literal question
Enumeration area
Categories
Value Category Cases
BONGOLE 120
1.9%
BUWANDE 'C' 96
1.5%
DOMBA 132
2.1%
GWAFU 120
1.9%
KABENGERE 12
0.2%
KABENGO 120
1.9%
KAKIGANDO EAST 120
1.9%
KANZIIRA A 132
2.1%
KASAANA 156
2.4%
KASIBA 96
1.5%
KAWANGA I 156
2.4%
KAWANGA II 156
2.4%
KAYUNGA 240
3.8%
KIBALAGAZI 'B' 120
1.9%
KIBALE 144
2.3%
KIBIIKA 120
1.9%
KIBYAYI A 168
2.6%
KIGALAMA A 108
1.7%
KIJUNGA 'B' 156
2.4%
KIKONGE 120
1.9%
KISALA 144
2.3%
KISIITA 108
1.7%
KISITA 96
1.5%
KISONGA 108
1.7%
KITAAMA 'B' 132
2.1%
KITANDWE 'B' 156
2.4%
KIYANJA 132
2.1%
KYAMUKASA 144
2.3%
KYASEETA I 156
2.4%
KYOOTA 180
2.8%
LUBANYI-KAYUNGA 132
2.1%
LUKIRA 132
2.1%
LUKOMA 144
2.3%
LUKYAKYA 156
2.4%
LUSAANA 120
1.9%
LUTEETE 120
1.9%
LUWUUNA 132
2.1%
LWEBIGAJI 168
2.6%
LWEEYO 156
2.4%
MAGONGA 132
2.1%
MAKATA 'B' 120
1.9%
MAYIRYE A 108
1.7%
MAYIRYE B 156
2.4%
NAKASEETA 'A' 120
1.9%
NAKATEMBE 12
0.2%
NAMASENENE 144
2.3%
NANDWAGUDDE 132
2.1%
NSISI 108
1.7%
SSUNGA 'B' 144
2.3%
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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