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    Home / Central Data Catalog / ETH_2009_RCBPIE-BL_V01_M_V01_A_PUF / variable [F5]
central

Rural Capacity Building Project 2009

Ethiopia, 2009
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Reference ID
ETH_2009_RCBPIE-BL_v01_M_v01_A_PUF
Producer(s)
Tigist Ketema, Niklas Buehren
Metadata
DDI/XML JSON
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
46947
Downloads
472
  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Data files
  • IDENTI_1
  • Section_A
  • Section_B
  • Section_C
  • Section_C_Consumption
  • Section_C2
  • D0_D3
  • D4_16
  • D6_Head
  • D6_Spouse
  • D8_Head
  • D8_Spouse
  • D10_H
  • D10_S
  • D12_H
  • D12_S
  • D14_H
  • D14_S
  • D16_H
  • D16_S
  • D17_D
  • D19_H
  • D19_S
  • D24_D65
  • D31_Head
  • D31_Spouse
  • D37_Head
  • D37_Spouse
  • D41_Head
  • D41_Spouse
  • D47_Head
  • D47_Spouse
  • D48_Head
  • D48_Spouse
  • D49_Head
  • D49_Spouse
  • D51_Head
  • D51_Spouse
  • E1_E2
  • E3_E9
  • E9
  • E10_E19
  • E20_E27
  • E28_E36
  • F0
  • F1_F22
  • F23_F30
  • Farm Input

food type (ft)

Data file: Section_C_Consumption

Overview

Valid: 15522
Invalid: 1
Type: Discrete
Decimal: 0
Start: 7
End: 8
Width: 2
Range: -
Format:

Questions and instructions

Literal question
Section C: Consumption

Food Type
Categories
Value Category
1 teff
2 barley
3 wheat
4 maize
5 sorghum
6 millet
7 rice
8 lentils
9 horse beans/fava beans
10 peas/field peas
11 chick peas
12 haricort beans
13 beef
14 mutton
15 camel meet
16 chicken
17 egg
18 milk (cow, goat, camel)
19 potato/sweet potato
20 cassava/boyna/boye
21 enset/kocho
22 amicho/bula
23 onion
24 gommen/cabbage head
25 spaghetti/macaroni
26 butter or oil
27 coffee
28 sugar
29 tella/tej/arakie/katikala/beer
30 other beverages
31 pepper
32 green pepper
33 latijrus
34 wheat and barley mix
35 _kenkos_
36 lupine
37 tomato
38 salt
39 local beer
40 soya bean
41 mango
42 pineapple
43 spice
44 ginger
45 garlic
46 coffee husk
47 ethiopian hops
48 banana
49 roman
50 bred
51 haricot bean
52 sesame
53 orange
54 lemon
55 other
Sysmiss
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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