Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-CS_V01_EN_M_V01_A_OCS / variable [F20]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, Cross-Sectional Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-CS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
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Article description (s8bq0d)

Data file: cs_s8b_expenditure

Overview

Valid: 2119593
Invalid: 0
Type: Discrete
Start: 32
End: 76
Width: 45
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Amarante (large 14419
0.7%
Amarante (small 14419
0.7%
Apples 14419
0.7%
Avocado 14419
0.7%
Baby food 14419
0.7%
Banana - beer ( 14419
0.7%
Banana - cookin 14419
0.7%
Banana fruit (I 14419
0.7%
Bar and restaur 28838
1.4%
Beef meat 14419
0.7%
Berries 14419
0.7%
Biscuits 14419
0.7%
Boullion cubes( 14419
0.7%
Bread 14419
0.7%
Butter (importe 14419
0.7%
Butter (local) 14419
0.7%
Cabbages 14419
0.7%
Cakes/Chapati/M 14419
0.7%
Candy / Gum 14419
0.7%
Carbonated Soft 14419
0.7%
Carrot 14419
0.7%
Cassava (fermen 14419
0.7%
Cassava (flour) 14419
0.7%
Cassava (root) 14419
0.7%
Cassava leaves 14419
0.7%
Celery 14419
0.7%
Cheese 14419
0.7%
Chicken / fish 14419
0.7%
Chicken live 14419
0.7%
Chocolate 14419
0.7%
Citron - Lemon 14419
0.7%
Cocoa and powde 14419
0.7%
Coffee (importe 14419
0.7%
Coffee (local) 14419
0.7%
Commercial beer 28838
1.4%
Condensed milk 14419
0.7%
Corn (flour) 14419
0.7%
Cucumber 14419
0.7%
Curdled Milk 14419
0.7%
Dry beans 14419
0.7%
Dry maize (grai 14419
0.7%
Eggplant 14419
0.7%
Eggs 14419
0.7%
Fermented sorgh 14419
0.7%
Fish (dry / smo 14419
0.7%
Fish (fresh / f 14419
0.7%
Fresh bean 14419
0.7%
Fresh milk 14419
0.7%
Frozen chicken 14419
0.7%
Garlic 14419
0.7%
Goat meat 14419
0.7%
Green pea (dry) 14419
0.7%
Green pea (fres 14419
0.7%
Grilled ground 14419
0.7%
Ground nuts (pe 14419
0.7%
Groundnut flour 14419
0.7%
Guava 14419
0.7%
Honey 14419
0.7%
Ice cream 14419
0.7%
Imported rice 14419
0.7%
Irish Potato 14419
0.7%
Jam, marmalade 14419
0.7%
Lard of pork 14419
0.7%
Leeks 14419
0.7%
Lettuce 14419
0.7%
Liqueurs (impo 14419
0.7%
Liqueurs (loca 14419
0.7%
Local Banana be 14419
0.7%
Local banana ju 14419
0.7%
Local rice 14419
0.7%
Local sorghum b 14419
0.7%
Maize (fresh) 14419
0.7%
Mangos 14419
0.7%
Margarine 14419
0.7%
Mayonnaise 14419
0.7%
Milk powder 14419
0.7%
Millet (flour) 14419
0.7%
Mineral water 14419
0.7%
Mushrooms 14419
0.7%
Onion 14419
0.7%
Orange (importe 14419
0.7%
Orange (local) 14419
0.7%
Other Meats 14419
0.7%
Other Vegetable 14419
0.7%
Other cereals 14419
0.7%
Other domestic 14419
0.7%
Other flour of 14419
0.7%
Other food item 14419
0.7%
Other fruits 14419
0.7%
Other juices of 28838
1.4%
Other local bee 14419
0.7%
Other meals and 14419
0.7%
Other plant oil 14419
0.7%
Other tubers 14419
0.7%
Palm oil 14419
0.7%
Papayas 14419
0.7%
Parsley 14419
0.7%
Passion Fruit 14419
0.7%
Passion fruit j 14419
0.7%
Pasta 14419
0.7%
Peanut oil 14419
0.7%
Pepper 14419
0.7%
Pepper(ground / 14419
0.7%
Pepper-raw 14419
0.7%
Pineapple 14419
0.7%
Plums 14419
0.7%
Pork meat 14419
0.7%
Powdered juice( 14419
0.7%
Preserved/canne 28838
1.4%
Pumpkin 14419
0.7%
Rabbit Meat 14419
0.7%
Salt 14419
0.7%
Sausages, bacon 14419
0.7%
Sheep /Mutton / 14419
0.7%
Shish kebab(Bro 14419
0.7%
Small Sized Fis 28838
1.4%
Sorghum 14419
0.7%
Sorghum (flour) 14419
0.7%
Sorghum juice(U 14419
0.7%
Soya (dry) 14419
0.7%
Soya (fresh) 14419
0.7%
Soya Flour 14419
0.7%
Spinach 14419
0.7%
String bean 14419
0.7%
Sugar (importe 14419
0.7%
Sugar (local) 14419
0.7%
Sugarcane 14419
0.7%
Sweet potato 14419
0.7%
Tangerine 14419
0.7%
Tarot/amateke 14419
0.7%
Tea (imported) 14419
0.7%
Tea (local) 14419
0.7%
Tomato 14419
0.7%
Tomato concentr 14419
0.7%
Vinegar 14419
0.7%
Wheat (flour) 14419
0.7%
Wheat (grain) 14419
0.7%
Wild Meat 14419
0.7%
Wine (imported) 14419
0.7%
Wine (local) 14419
0.7%
Yams/Ibikoro 14419
0.7%
Yogurt 14419
0.7%
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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