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    Home / Central Data Catalog / UGA_2017_ILGUIE_V01_M / variable [F28]
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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
46212
  • Study Description
  • Data Dictionary
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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

Amount received during the past 12 months. - 1 (s6q05_1)

Data file: GSEC6.dta

Overview

Valid: 515
Invalid: 2263
Minimum: 0
Maximum: 4800000
Type: Discrete
Decimal: 2
Start: 360
End: 369
Width: 10
Range: 0 - 4800000
Format: Numeric

Questions and instructions

Literal question
Amount received during the past 12 months. (Cash)
Categories
Value Category Cases
0 364
70.7%
1 2
0.4%
20000 3
0.6%
30000 2
0.4%
50000 9
1.7%
60000 2
0.4%
70000 3
0.6%
80000 2
0.4%
100000 12
2.3%
120000 17
3.3%
150000 12
2.3%
160000 2
0.4%
170000 1
0.2%
180000 1
0.2%
200000 14
2.7%
240000 10
1.9%
250000 3
0.6%
300000 10
1.9%
330000 1
0.2%
350000 1
0.2%
360000 2
0.4%
380000 1
0.2%
400000 3
0.6%
440000 1
0.2%
450000 1
0.2%
480000 1
0.2%
500000 5
1%
540000 1
0.2%
600000 7
1.4%
700000 2
0.4%
720000 2
0.4%
800000 2
0.4%
850000 1
0.2%
960000 1
0.2%
1050000 1
0.2%
1080000 1
0.2%
1300000 1
0.2%
1440000 1
0.2%
1500000 2
0.4%
1800000 2
0.4%
2000000 1
0.2%
2180000 1
0.2%
2800000 1
0.2%
2900000 1
0.2%
4500000 1
0.2%
4800000 1
0.2%
Sysmiss 2263
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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