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    Home / Central Data Catalog / UGA_2017_ILGUIE_V01_M / variable [F26]
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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
Producer(s)
Daniel Ali Ayalew, Klaus Deininger, Thea Hilhorst
Metadata
DDI/XML JSON
Created on
Mar 22, 2021
Last modified
Mar 22, 2021
Page views
46707
  • Study Description
  • Data Dictionary
  • Downloads
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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: GSEC4.dta

Overview

Valid: 8155
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 818
10%
BUSIMBI DIVISION 136
1.7%
BUTAYUNJA 456
5.6%
BUTOOLOGO 455
5.6%
Bwanswa 12
0.1%
BWANSWA 269
3.3%
CENTRAL DIVISION 45
0.6%
EASTERN DIVISION 167
2%
GAYAZA 128
1.6%
KAKINDU 359
4.4%
KAKUMIRO TC 44
0.5%
KALAMBA 127
1.6%
KALANGALO 745
9.1%
KALWANA 98
1.2%
KASSANDA 65
0.8%
KIBALINGA 77
0.9%
KIBIBI 128
1.6%
KITUMBI 125
1.5%
KIYUNI 345
4.2%
MADUDU 473
5.8%
MALANGALA 846
10.4%
MPENJA 130
1.6%
MUDUUMA 87
1.1%
MYANZI 657
8.1%
NALUTUNTU 156
1.9%
NAMUNGO 337
4.1%
NKOOKO 84
1%
NYAMARWA 121
1.5%
SOUTHERN DIVISION 103
1.3%
SSEKANYONYI 86
1.1%
TTAMU DIVISION 313
3.8%
WESTERN DIVISION 151
1.9%
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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