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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F16]
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
103541
Downloads
3901
  • 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: ASEC7A.dta

Overview

Valid: 22224
Invalid: -
Type: Discrete
Start: 65
End: 67
Width: 3
Range: -
Format: character

Questions and instructions

Literal question
Household code
Categories
Value Category Cases
101 752
3.4%
102 488
2.2%
103 368
1.7%
104 328
1.5%
105 296
1.3%
106 248
1.1%
107 224
1%
108 216
1%
109 80
0.4%
110 40
0.2%
111 24
0.1%
112 24
0.1%
113 16
0.1%
201 1440
6.5%
202 1448
6.5%
203 1432
6.4%
204 1416
6.4%
205 1416
6.4%
206 1400
6.3%
207 1400
6.3%
208 1280
5.8%
209 1224
5.5%
210 1192
5.4%
211 1152
5.2%
212 1136
5.1%
213 1080
4.9%
214 992
4.5%
215 808
3.6%
216 192
0.9%
217 112
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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