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    Home / Central Data Catalog / LSMS / UGA_2005-2009_UNPS_V03_M / variable [F80]
lsms

National Panel Survey 2005-2009
Wave I

Uganda, 2005 - 2010
Get Microdata
Reference ID
UGA_2005-2009_UNPS_v03_M
DOI
https://doi.org/10.48529/9vep-e461
Producer(s)
Uganda Bureau of Statistics (UBOS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 30, 2012
Last modified
Aug 21, 2025
Page views
601524
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49994
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • 2005_AGSEC1B
  • 2005_AGSEC2A
  • 2005_AGSEC2A1
  • 2005_AGSEC2B
  • 2005_AGSEC2B1
  • 2005_AGSEC3
  • 2005_AGSEC4A
  • 2005_AGSEC4B
  • 2005_AGSEC5A
  • 2005_AGSEC5AA
  • 2005_AGSEC5B
  • 2005_AGSEC6A
  • 2005_AGSEC6B
  • 2005_AGSEC7A
  • 2005_AGSEC7B
  • 2005_AGSEC8
  • 2005_AGSEC9
  • 2005_AGSEC10A
  • 2005_AGSEC10AA
  • 2005_AGSEC10B
  • 2005_AGSEC10BB
  • 2005_AGSEC10C
  • 2005_AGSEC10CC
  • 2005_AGSEC11A
  • 2005_AGSEC11B
  • 2005_AGSEC11C
  • 2005_AGSEC12A
  • 2005_AGSEC12B
  • 2005_AGSEC12C
  • 2005_AGSEC12D
  • 2005_CSEC1
  • 2005_CSEC2
  • 2005_CSEC3
  • 2005_CSEC4
  • 2005_CSEC5
  • 2005_CSEC6
  • 2005_CSEC7
  • 2005_CSEC8A
  • 2005_CSEC8B
  • 2005_CSEC41
  • 2005_GSEC1
  • 2005_GSEC2
  • 2005_GSEC3
  • 2005_GSEC4
  • 2005_GSEC5
  • 2005_GSEC6
  • 2005_GSEC7
  • 2005_GSEC7A
  • 2005_GSEC7B
  • 2005_GSEC8
  • 2005_GSEC9
  • 2005_GSEC9A
  • 2005_GSEC9B
  • 2005_GSEC10
  • 2005_GSEC11
  • 2005_GSEC12A
  • 2005_GSEC12B
  • 2005_GSEC13A
  • 2005_GSEC13B
  • 2005_GSEC13C
  • 2005_GSEC14
  • 2005_GSEC14A
  • 2005_GSEC14B
  • 2005_GSEC14C
  • 2005_GSEC14D
  • 2005_GSEC15
  • 2005_GSEC16
  • 2005_GSEC17
  • 2005_GSEC17A
  • 2005_GSEC18
  • 2009_AGSEC1
  • 2009_AGSEC2
  • 2009_AGSEC2A
  • 2009_AGSEC2B
  • 2009_AGSEC3A
  • 2009_AGSEC3B
  • 2009_AGSEC4A
  • 2009_AGSEC4B
  • 2009_AGSEC5A
  • 2009_AGSEC5B
  • 2009_AGSEC6A
  • 2009_AGSEC6B
  • 2009_AGSEC6C
  • 2009_AGSEC7
  • 2009_AGSEC8
  • 2009_AGSEC9A
  • 2009_AGSEC9B
  • 2009_AGSEC9C
  • 2009_AGSEC9D
  • 2009_AGSEC9E
  • 2009_AGSEC10
  • 2009_CSECTION1
  • 2009_CSECTION2A
  • 2009_CSECTION2B
  • 2009_CSECTION2C
  • 2009_CSECTION3
  • 2009_CSECTION3A
  • 2009_CSECTION3B
  • 2009_CSECTION3C
  • 2009_CSECTION3D
  • 2009_CSECTION3E
  • 2009_CSECTION3F
  • 2009_CSECTION3G
  • 2009_CSECTION3H
  • 2009_CSECTION3I
  • 2009_CSECTION3J
  • 2009_CSECTION3K
  • 2009_CSECTION4
  • 2009_CSECTION4A
  • 2009_CSECTION4B
  • 2009_CSECTION4C
  • 2009_CSECTION4D
  • 2009_CSECTION4E
  • 2009_CSECTION4F
  • 2009_CSECTION4G
  • 2009_CSECTION4H1
  • 2009_CSECTION4H3
  • 2009_CSECTION4I
  • 2009_CSECTION4J
  • 2009_CSECTION4K1
  • 2009_CSECTION4K3
  • 2009_CSECTION4L
  • 2009_CSECTION4M
  • 2009_CSECTION4N
  • 2009_CSECTION4O1
  • 2009_CSECTION4O2
  • 2009_CSECTION5
  • 2009_CSECTION5A
  • 2009_CSECTION5B
  • 2009_CSECTION5C
  • 2009_CSECTION5D
  • 2009_Individual.Mapping.2005-06.2009-10
  • 2009_Individual.Mapping.2009-06.2009-10
  • 2009_UNPS_Geovars_0910
  • 2009_GSEC1
  • 2009_GSEC2
  • 2009_GSEC2AW
  • 2009_GSEC2BW
  • 2009_GSEC3
  • 2009_GSEC4
  • 2009_GSEC5
  • 2009_GSEC6
  • 2009_GSEC7
  • 2009_GSEC8
  • 2009_GSEC9
  • 2009_GSEC9A
  • 2009_GSEC10
  • 2009_GSEC10A
  • 2009_GSEC11
  • 2009_GSEC12
  • 2009_GSEC13
  • 2009_GSEC14
  • 2009_GSEC15A
  • 2009_GSEC15B
  • 2009_GSEC15BB
  • 2009_GSEC15C
  • 2009_GSEC15D
  • 2009_GSEC15E
  • 2009_GSEC16
  • 2009_GSEC17
  • 2009_GSEC17A
  • 2009_GSEC18
  • 2009_GSEC18A
  • 2009_GSEC18B
  • pov2009_10

Crop name (A5bq4)

Data file: 2009_AGSEC5B

Overview

Valid: 12812
Invalid: 0
Type: Discrete
Start: 21
End: 40
Width: 20
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AVOCADO 4
0%
Avocado 44
0.3%
BANANA 33
0.3%
BANANA BEER 4
0%
BANANA FOOD 8
0.1%
BANANA Food 2
0%
BANANA SWEET 1
0%
BANANAF 1
0%
BANANAN F 1
0%
BANANAS 1
0%
BEANS 44
0.3%
BUGGA 2
0%
BULLRASH 1
0%
Banana 7
0.1%
Banana Beer 1
0%
Banana Food 1
0%
Banana beer 234
1.8%
Banana food 1661
13%
Banana sweet 109
0.9%
Beans 2121
16.6%
Bitter berries 1
0%
CABBAGE 3
0%
CASAVA 13
0.1%
CASSAVA 13
0.1%
COCOA 2
0%
COFFEE 12
0.1%
COffee all 1
0%
Cabbage 20
0.2%
Cassava 2005
15.6%
Ccffee 1
0%
Coco yam 1
0%
Cocoa 19
0.1%
Coffee 10
0.1%
Coffee all 610
4.8%
Cotton 34
0.3%
Cow peas 39
0.3%
DODO 2
0%
Dodo 12
0.1%
EGGPLANT 1
0%
EUCALYPTUS 1
0%
Eggplants 19
0.1%
FALLOW 21
0.2%
FIELDPEAS 3
0%
Fallow 202
1.6%
Field Peas 1
0%
Field peas 66
0.5%
Finger millet 293
2.3%
G.NUTS 6
0%
GROUND NUTS 7
0.1%
GROUNDNUTS 1
0%
Ground nuts 1
0%
Groundnuts 381
3%
IRISH POTATOES 1
0%
IRISHPOTATOES 1
0%
Improved pastures 2
0%
Irish potatoes 100
0.8%
JACK FRUIT 1
0%
JACKFRUIT 2
0%
JOBYO 1
0%
Jackfruit 30
0.2%
MAIZE 39
0.3%
MANGOES 1
0%
MILLET 9
0.1%
Maize 1911
14.9%
Mango 24
0.2%
Matooke 1
0%
Millet 7
0.1%
Nakati 1
0%
Natural forest trees 1
0%
Natural pastures 2
0%
ONIONS 3
0%
Olujo 1
0%
Onions 19
0.1%
Oranges 22
0.2%
Other 50
0.4%
Other forest trees 2
0%
PASTURE 4
0%
PEAS 2
0%
PIGEON PEA 1
0%
PINEAPPLE 1
0%
PLANTATION TREES 5
0%
POTATOES 3
0%
Passion fruit 12
0.1%
Paw paw 19
0.1%
Pigeon peas 32
0.2%
Pineapples 26
0.2%
Plantation trees 22
0.2%
Pumpkins 27
0.2%
RICE 2
0%
Rice 51
0.4%
S.CANE 1
0%
S.POTATOES 7
0.1%
SIMSIM 5
0%
SOGHURM 2
0%
SORGHUM 7
0.1%
SOYA 1
0%
SOYABEAN 1
0%
SOYABEANS 4
0%
SUGARCANE 3
0%
SUNFLOWER 1
0%
SWEET POTATOES 13
0.1%
SWEET POTATOES620 1
0%
SWeet potatoes 1
0%
Simsim 225
1.8%
Sorghum 383
3%
Soya beans 70
0.5%
Soyabeans 1
0%
Sugarcane 91
0.7%
Sukumawich 1
0%
Sunflower 37
0.3%
Surgarcane 1
0%
Sweet Bananas 1
0%
Sweet Potatoes 1
0%
Sweet potatoees 1
0%
Sweet potatoes 1123
8.8%
Sweetpotatoes 1
0%
TOMATOES 1
0%
Tea 4
0%
Tobacco 3
0%
Tomato 1
0%
Tomatoes 62
0.5%
Vanila 1
0%
Vanilla 11
0.1%
Wheat 3
0%
YAMS 1
0%
Yam 94
0.7%
Yams 2
0%
banana 5
0%
banana food 10
0.1%
beans 14
0.1%
cassava 19
0.1%
coffee 1
0%
cowpeas 1
0%
fallow 21
0.2%
green pepper 1
0%
groundnuts 4
0%
irish potatoes 7
0.1%
jackfruit 1
0%
lumonde 2
0%
maize 13
0.1%
matooke 1
0%
millet 7
0.1%
pasture 1
0%
pawpaws 1
0%
peas 1
0%
pineapple 2
0%
simsim 3
0%
sorghum 1
0%
soyabeans 6
0%
sugarcane 1
0%
sweet potatoes 1
0%
sweetpotatoes 1
0%
vanilla 1
0%
yams 1
0%
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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