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
Collection(s)
Metadata
Created on
Mar 03, 2021
Last modified
Mar 03, 2021
Page views
78214
Downloads
474
- 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
(cropid)
Data file: ASEC5A.dta
Overview
Valid:
343
Invalid:
-
Minimum:
130
Maximum:
890
Type:
Discrete
Decimal:
0
Start:
207
End:
209
Width:
3
Range:
130 - 890
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 111 | Wheat | 0 |
0%
|
| 112 | Barley | 0 |
0%
|
| 120 | Rice | 0 |
0%
|
| 130 | Maize | 70 |
20.4%
|
| 141 | Finger millet | 0 |
0%
|
| 150 | Sorghum | 0 |
0%
|
| 210 | Beans | 57 |
16.6%
|
| 221 | Field peas | 0 |
0%
|
| 222 | Cow peas | 0 |
0%
|
| 223 | Pigeon peas | 0 |
0%
|
| 224 | Chick peas | 0 |
0%
|
| 310 | Groundnuts | 4 |
1.2%
|
| 320 | Soya beans | 0 |
0%
|
| 330 | Sunflower | 0 |
0%
|
| 340 | Simsim | 0 |
0%
|
| 410 | Cabbage | 0 |
0%
|
| 420 | Tomatoes | 0 |
0%
|
| 430 | Carrots | 0 |
0%
|
| 440 | Onions | 0 |
0%
|
| 450 | Pumpkins | 0 |
0%
|
| 460 | Dodo | 0 |
0%
|
| 470 | Eggplants | 1 |
0.3%
|
| 510 | Sugarcane | 0 |
0%
|
| 520 | Cotton | 0 |
0%
|
| 530 | Tobacco | 0 |
0%
|
| 610 | Irish potatoes | 3 |
0.9%
|
| 620 | Sweet potatoes | 37 |
10.8%
|
| 630 | Cassava | 32 |
9.3%
|
| 640 | Yam | 1 |
0.3%
|
| 650 | Coco yam | 0 |
0%
|
| 700 | Oranges | 2 |
0.6%
|
| 710 | Paw paw | 0 |
0%
|
| 720 | Pineapples | 0 |
0%
|
| 741 | Banana food | 62 |
18.1%
|
| 742 | Banana beer | 2 |
0.6%
|
| 744 | Banana sweet | 2 |
0.6%
|
| 750 | Mango | 0 |
0%
|
| 760 | Jackfruit | 0 |
0%
|
| 770 | Avocado | 0 |
0%
|
| 780 | Passion fruit | 0 |
0%
|
| 810 | Coffee | 65 |
19%
|
| 811 | Coffee (arabica) | 1 |
0.3%
|
| 812 | Coffee (robusta) | 2 |
0.6%
|
| 820 | Cocoa | 0 |
0%
|
| 830 | Tea | 0 |
0%
|
| 840 | Ginger | 0 |
0%
|
| 850 | Curry | 0 |
0%
|
| 860 | Oil Palm | 0 |
0%
|
| 870 | Vanilla | 0 |
0%
|
| 880 | Black Wattle | 0 |
0%
|
| 890 | other | 2 |
0.6%
|
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.