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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F41]
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
103581
Downloads
3901
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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

3. Sub-County/Division/Town Council (s1aq03a)

Data file: GSEC13e_Male.dta

Overview

Valid: 11813
Invalid: -
Type: Discrete
Start: 123
End: 139
Width: 17
Range: -
Format: character

Questions and instructions

Literal question
Sub-County/Division/Town Council
Categories
Value Category Cases
##N/A## 12
0.1%
BULERA 1242
10.5%
BUSIMBI DIVISION 164
1.4%
BUTAYUNJA 710
6%
BUTOOLOGO 714
6%
Bwanswa 9
0.1%
BWANSWA 434
3.7%
CENTRAL DIVISION 65
0.6%
EASTERN DIVISION 260
2.2%
GAYAZA 222
1.9%
KAKINDU 450
3.8%
KAKUMIRO TC 74
0.6%
KALAMBA 180
1.5%
KALANGALO 991
8.4%
KALWANA 140
1.2%
KASSANDA 100
0.8%
KIBALINGA 115
1%
KIBIBI 90
0.8%
KITUMBI 204
1.7%
KIYUNI 582
4.9%
MADUDU 737
6.2%
MALANGALA 1154
9.8%
MPENJA 200
1.7%
MUDUUMA 130
1.1%
MYANZI 927
7.8%
NALUTUNTU 195
1.7%
NAMUNGO 417
3.5%
NKOOKO 160
1.4%
NYAMARWA 225
1.9%
SOUTHERN DIVISION 136
1.2%
SSEKANYONYI 112
0.9%
TTAMU DIVISION 391
3.3%
WESTERN DIVISION 271
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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