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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F24]
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
185552
Downloads
4169
  • 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: GSEC2.dta

Overview

Valid: 12571
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## 19
0.2%
BULERA 1279
10.2%
BUSIMBI DIVISION 229
1.8%
BUTAYUNJA 711
5.7%
BUTOOLOGO 683
5.4%
Bwanswa 21
0.2%
BWANSWA 419
3.3%
CENTRAL DIVISION 76
0.6%
EASTERN DIVISION 257
2%
GAYAZA 218
1.7%
KAKINDU 547
4.4%
KAKUMIRO TC 69
0.5%
KALAMBA 209
1.7%
KALANGALO 1117
8.9%
KALWANA 148
1.2%
KASSANDA 110
0.9%
KIBALINGA 114
0.9%
KIBIBI 201
1.6%
KITUMBI 212
1.7%
KIYUNI 557
4.4%
MADUDU 744
5.9%
MALANGALA 1249
9.9%
MPENJA 224
1.8%
MUDUUMA 126
1%
MYANZI 1017
8.1%
NALUTUNTU 224
1.8%
NAMUNGO 488
3.9%
NKOOKO 125
1%
NYAMARWA 184
1.5%
SOUTHERN DIVISION 171
1.4%
SSEKANYONYI 132
1.1%
TTAMU DIVISION 475
3.8%
WESTERN DIVISION 216
1.7%
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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