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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
46257
  • 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. - 6 (s6q05_6)

Data file: GSEC6.dta

Overview

Valid: 527
Invalid: 2251
Minimum: 0
Maximum: 24000000
Type: Discrete
Decimal: 2
Start: 513
End: 523
Width: 11
Range: 0 - 24000000
Format: Numeric

Questions and instructions

Literal question
Amount received during the past 12 months.
Cash
Categories
Value Category Cases
0 358
67.9%
10000 1
0.2%
20000 8
1.5%
30000 5
0.9%
40000 3
0.6%
50000 11
2.1%
60000 6
1.1%
80000 5
0.9%
95000 1
0.2%
100000 16
3%
110000 1
0.2%
120000 11
2.1%
135000 1
0.2%
150000 6
1.1%
160000 2
0.4%
170000 1
0.2%
180000 2
0.4%
200000 9
1.7%
210000 1
0.2%
240000 12
2.3%
250000 5
0.9%
300000 12
2.3%
360000 2
0.4%
400000 4
0.8%
420000 1
0.2%
450000 2
0.4%
480000 1
0.2%
500000 5
0.9%
600000 7
1.3%
720000 3
0.6%
800000 4
0.8%
840000 1
0.2%
850000 1
0.2%
900000 1
0.2%
960000 1
0.2%
1000000 4
0.8%
1250000 1
0.2%
1440000 2
0.4%
1940000 1
0.2%
2000000 2
0.4%
2160000 1
0.2%
2400000 2
0.4%
2500000 1
0.2%
3600000 1
0.2%
5760000 1
0.2%
24000000 1
0.2%
Sysmiss 2251
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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