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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F38]
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
117146
Downloads
3931
  • 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

Household code (hhid)

Data file: GSEC13b.dta

Overview

Valid: 20890
Invalid: -
Type: Discrete
Start: 65
End: 67
Width: 3
Range: -
Format: character

Questions and instructions

Literal question
Household code
Categories
Value Category Cases
101 650
3.1%
102 450
2.2%
103 360
1.7%
104 320
1.5%
105 310
1.5%
106 230
1.1%
107 220
1.1%
108 200
1%
109 70
0.3%
110 20
0.1%
111 30
0.1%
112 30
0.1%
113 10
0%
201 1410
6.7%
202 1420
6.8%
203 1300
6.2%
204 1400
6.7%
205 1350
6.5%
206 1310
6.3%
207 1330
6.4%
208 1230
5.9%
209 1220
5.8%
210 1120
5.4%
211 990
4.7%
212 1060
5.1%
213 1060
5.1%
214 870
4.2%
215 670
3.2%
216 150
0.7%
217 100
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.
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