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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F43]
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
101947
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

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

Data file: GSEC14.dta

Overview

Valid: 2778
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## 2
0.1%
BULERA 287
10.3%
BUSIMBI DIVISION 49
1.8%
BUTAYUNJA 170
6.1%
BUTOOLOGO 154
5.5%
Bwanswa 4
0.1%
BWANSWA 99
3.6%
CENTRAL DIVISION 15
0.5%
EASTERN DIVISION 60
2.2%
GAYAZA 47
1.7%
KAKINDU 105
3.8%
KAKUMIRO TC 14
0.5%
KALAMBA 45
1.6%
KALANGALO 241
8.7%
KALWANA 30
1.1%
KASSANDA 30
1.1%
KIBALINGA 30
1.1%
KIBIBI 30
1.1%
KITUMBI 49
1.8%
KIYUNI 122
4.4%
MADUDU 172
6.2%
MALANGALA 274
9.9%
MPENJA 45
1.6%
MUDUUMA 30
1.1%
MYANZI 222
8%
NALUTUNTU 45
1.6%
NAMUNGO 107
3.9%
NKOOKO 30
1.1%
NYAMARWA 45
1.6%
SOUTHERN DIVISION 31
1.1%
SSEKANYONYI 32
1.2%
TTAMU DIVISION 101
3.6%
WESTERN DIVISION 61
2.2%
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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