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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2017_ILGUIE_V01_M / variable [F30]
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
103812
Downloads
3902
  • 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: GSEC7b.dta

Overview

Valid: 30558
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## 22
0.1%
BULERA 3157
10.3%
BUSIMBI DIVISION 539
1.8%
BUTAYUNJA 1870
6.1%
BUTOOLOGO 1694
5.5%
Bwanswa 44
0.1%
BWANSWA 1089
3.6%
CENTRAL DIVISION 165
0.5%
EASTERN DIVISION 660
2.2%
GAYAZA 517
1.7%
KAKINDU 1155
3.8%
KAKUMIRO TC 154
0.5%
KALAMBA 495
1.6%
KALANGALO 2651
8.7%
KALWANA 330
1.1%
KASSANDA 330
1.1%
KIBALINGA 330
1.1%
KIBIBI 330
1.1%
KITUMBI 539
1.8%
KIYUNI 1342
4.4%
MADUDU 1892
6.2%
MALANGALA 3014
9.9%
MPENJA 495
1.6%
MUDUUMA 330
1.1%
MYANZI 2442
8%
NALUTUNTU 495
1.6%
NAMUNGO 1177
3.9%
NKOOKO 330
1.1%
NYAMARWA 495
1.6%
SOUTHERN DIVISION 341
1.1%
SSEKANYONYI 352
1.2%
TTAMU DIVISION 1111
3.6%
WESTERN DIVISION 671
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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