Impact Evaluation of the Improvement of Land Governance to Increase Productivity of Small-Scale Farmers on Mailo-Land 2017
Uganda, 2017 - 2018
Get MicrodataCreated on
Mar 22, 2021
Last modified
Mar 22, 2021
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45615
- 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
28. How much did you pay including the value of in-kind payments for these days (wp_s3aq36)
Data file: ASEC3A.dta
Overview
Valid:
68
Invalid:
181
Minimum:
5000
Maximum:
2000000
Type:
Discrete
Decimal:
0
Start:
574
End:
580
Width:
7
Range:
5000 - 2000000
Format:
Numeric
Questions and instructions
Literal question
How much did you pay including the value of in-kind payments for these days of labor?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 5000 | 1 |
1.5%
|
|
| 10000 | 4 |
5.9%
|
|
| 15000 | 4 |
5.9%
|
|
| 20000 | 5 |
7.4%
|
|
| 21000 | 1 |
1.5%
|
|
| 25000 | 1 |
1.5%
|
|
| 30000 | 6 |
8.8%
|
|
| 35000 | 1 |
1.5%
|
|
| 40000 | 4 |
5.9%
|
|
| 42000 | 1 |
1.5%
|
|
| 45000 | 1 |
1.5%
|
|
| 49000 | 1 |
1.5%
|
|
| 50000 | 6 |
8.8%
|
|
| 56000 | 1 |
1.5%
|
|
| 60000 | 6 |
8.8%
|
|
| 70000 | 3 |
4.4%
|
|
| 75000 | 1 |
1.5%
|
|
| 80000 | 1 |
1.5%
|
|
| 90000 | 1 |
1.5%
|
|
| 100000 | 2 |
2.9%
|
|
| 120000 | 3 |
4.4%
|
|
| 150000 | 6 |
8.8%
|
|
| 200000 | 2 |
2.9%
|
|
| 300000 | 1 |
1.5%
|
|
| 400000 | 2 |
2.9%
|
|
| 735000 | 1 |
1.5%
|
|
| 816000 | 1 |
1.5%
|
|
| 2000000 | 1 |
1.5%
|
|
| Sysmiss | 181 |
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.