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    Home / Central Data Catalog / UGA_2017_ILGUIE_V01_M / variable [F16]
central

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
45523
  • 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

2. How much has this household earned by selling %rostertitle% meat in the past (s7aq02)

Data file: ASEC7A.dta

Overview

Valid: 249
Invalid: 21975
Minimum: 0
Maximum: 45000000
Type: Discrete
Decimal: 2
Start: 222
End: 232
Width: 11
Range: 0 - 45000000
Format: Numeric

Questions and instructions

Literal question
How much has this household earned by selling %rostertitle% meat in the past recall period In Ush? (%ref_period%)
Categories
Value Category Cases
0 160
64.3%
1 2
0.8%
2 2
0.8%
3 1
0.4%
250 1
0.4%
15000 6
2.4%
16000 1
0.4%
19000 1
0.4%
20000 6
2.4%
24000 2
0.8%
25000 2
0.8%
30000 3
1.2%
35000 1
0.4%
39000 1
0.4%
40000 7
2.8%
45000 2
0.8%
50000 6
2.4%
60000 6
2.4%
70000 1
0.4%
80000 5
2%
100000 4
1.6%
125000 1
0.4%
150000 6
2.4%
180000 2
0.8%
200000 2
0.8%
250000 4
1.6%
300000 2
0.8%
350000 1
0.4%
400000 4
1.6%
410000 1
0.4%
600000 1
0.4%
840000 1
0.4%
1800000 1
0.4%
4760000 1
0.4%
7500000 1
0.4%
45000000 1
0.4%
Sysmiss 21975
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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