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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F37]
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
181549
Downloads
4167
  • 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: GSEC13a.dta

Overview

Valid: 18070
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## 20
0.1%
BULERA 1910
10.6%
BUSIMBI DIVISION 230
1.3%
BUTAYUNJA 1080
6%
BUTOOLOGO 1120
6.2%
Bwanswa 10
0.1%
BWANSWA 670
3.7%
CENTRAL DIVISION 100
0.6%
EASTERN DIVISION 400
2.2%
GAYAZA 350
1.9%
KAKINDU 680
3.8%
KAKUMIRO TC 120
0.7%
KALAMBA 270
1.5%
KALANGALO 1500
8.3%
KALWANA 220
1.2%
KASSANDA 140
0.8%
KIBALINGA 170
0.9%
KIBIBI 120
0.7%
KITUMBI 310
1.7%
KIYUNI 920
5.1%
MADUDU 1130
6.3%
MALANGALA 1760
9.7%
MPENJA 310
1.7%
MUDUUMA 200
1.1%
MYANZI 1420
7.9%
NALUTUNTU 300
1.7%
NAMUNGO 620
3.4%
NKOOKO 260
1.4%
NYAMARWA 360
2%
SOUTHERN DIVISION 210
1.2%
SSEKANYONYI 160
0.9%
TTAMU DIVISION 580
3.2%
WESTERN DIVISION 420
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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