National Panel Survey 2005-2009

Uganda, 2005 - 2010

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Reference ID

UGA_2005-2009_UNPS_v02_M

Producer(s)

Uganda Bureau of Statistics (UBOS)

Metadata

DDI/XML JSON

Study website

Created on

May 02, 2012

Last modified

Sep 07, 2022

Page views

182332

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5055

Consumption item code (H14aq2)

Data file: 2005_GSEC14A

Overview

Valid: 40394

Invalid: 0

Type: Discrete

Decimal: 0

Start: 15

End: 17

Width: 3

Range: 101 - 161

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
101	Matooke	1085	2.7%
102	Matooke	204	0.5%
103	Matooke	141	0.3%
104	Matooke	99	0.2%
105	Sweet potatoes fresh	1527	3.8%
106	Sweet potatoes dry	70	0.2%
107	Cassava fresh	1178	2.9%
108	Cassava dry/flour	768	1.9%
109	Irish potatoes	354	0.9%
110	Rice	852	2.1%
111	Maize grains	128	0.3%
112	Maize cobs	401	1%
113	Maize flour	1761	4.4%
114	Bread	644	1.6%
115	Millet	559	1.4%
116	Sorghum	408	1%
117	Beef	1027	2.5%
118	Pork	166	0.4%
119	Goat meat	229	0.6%
120	Other meat	54	0.1%
121	Chicken	266	0.7%
122	Fresh fish	680	1.7%
123	Dry/smoked fish	833	2.1%
124	Eggs	417	1%
125	Fresh milk	1067	2.6%
126	Infant formula foods	12	0%
127	Cooking oil	1821	4.5%
128	Ghee	142	0.4%
129	Margarine,butter	129	0.3%
130	Passion fruits	397	1%
131	Sweet bananas	435	1.1%
132	Mangoes	308	0.8%
133	Oranges	209	0.5%
134	Other fruits	589	1.5%
135	Onions	2119	5.2%
136	Tomatoes	2093	5.2%
137	Cabbages	560	1.4%
138	Dodo	929	2.3%
139	Other vegetables	1122	2.8%
140	Beans fresh	403	1%
141	Beans dry	2033	5%
142	Ground nuts in shell	57	0.1%
143	Ground nuts shelled	448	1.1%
144	Ground nuts pounded	849	2.1%
145	Peas	276	0.7%
146	Simsim	336	0.8%
147	Sugar	1982	4.9%
148	Coffee	176	0.4%
149	Tea	1877	4.6%
150	Salt	2880	7.1%
151	Soda	358	0.9%
152	Beer	167	0.4%
153	Other alcoholic drinks	554	1.4%
154	Other drinks	189	0.5%
155	Cigarettes	290	0.7%
156	Other tobbaco	358	0.9%
157	Expenditure in restaurants on food	591	1.5%
158	Expenditure in restaurants on soda	152	0.4%
159	Expenditure in restaurants on beer	27	0.1%
160	Other juice	188	0.5%
161	Other foods	420	1%

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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