Integrated Household Living Conditions Survey 2005
Rwanda, 2005
Reference ID
RWA_2005_EICV-II_v01_M
Producer(s)
Direction de la Statistique (DS)
Metadata
Created on
May 02, 2012
Last modified
Mar 29, 2019
Page views
230747
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- Data files
- eng_eicv2_s0_id
- eng_eicv2_s0_IDmerged
- eng_eicv2_s1_demo
- eng_eicv2_s2_education
- eng_eicv2_s3_health
- eng_eicv2_s4_migration
- eng_eicv2_s5_housing
- eng_eicv2_s5e_services
- eng_eicv2_s6abc_employment
- eng_eicv2_s6d_employment_roster
- eng_eicv2_s6e_employ_wages
- eng_eicv2_s6f_nonremuner
- eng_eicv2_s7_enterprise
- eng_eicv2_s8a1_livestock
- eng_eicv2_s8a2_livestock_products
- eng_eicv2_s8a3_livestock_expenditure
- eng_eicv2_s8b_ag_assets
- eng_eicv2_s8c_ag_plots
- eng_eicv2_s8d_ag_production1
- eng_eicv2_s8e_ag_production2
- eng_eicv2_s8f_ag_other
- eng_eicv2_s8g_ag_expense
- eng_eicv2_s8h_ag_process
- eng_eicv2_s9a1_nfood_annual
- eng_eicv2_s9a2_nfood_month
- eng_eicv2_s9a3_nfood_freq
- eng_eicv2_s9b_food
- eng_eicv2_s9c_availability
- eng_eicv2_s9d_ex_owncons
- eng_eicv2_s10a_transfer_out
- eng_eicv2_s10b_transfer_in
- eng_eicv2_s10c_misc
- eng_eicv2_s11a_credit
- eng_eicv2_s11b_durables
- eng_eicv2_s11c_savings
- employment
- employment_onejobonly
- eng_eicv2_b_filters
-
poverty
file_161206 -
poverty
file_161206_EICV2only - eng_eicv2_com0_intro
- eng_eicv2_com1_migration
- eng_eicv2_com2_econactivity
- eng_eicv2_com3_education
- eng_eicv2_com4_health
- eng_eicv2_com5_agri
- eng_eicv2_com6_livestock
- eng_eicv2_com7_ag_extention
- eng_eicv2_com8_comm_service
- deflators
item (item)
Data file: eng_eicv2_s9d_ex_owncons
Overview
Valid:
40425
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
20
End:
22
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | shelled local rice |
| 2 | maize |
| 3 | dry maize (grain) |
| 4 | sorghum |
| 5 | wheat |
| 6 | other cereals |
| 7 | corn (flour) |
| 8 | sorghum (flour) |
| 9 | wheat (flour) |
| 10 | millet (clour) |
| 11 | other flours of cereals |
| 12 | beef |
| 13 | mutton / lamb |
| 14 | goat meat |
| 15 | pork |
| 16 | rabbit meat |
| 17 | game meat |
| 18 | other meat |
| 19 | chicken |
| 20 | other domestic poultries |
| 21 | fish (fresh / frozen) |
| 22 | fish (dry / smoked) |
| 23 | fesh milk |
| 24 | milk curdled milk |
| 25 | eggs |
| 26 | butter |
| 27 | peanut oil |
| 28 | palm oil |
| 29 | soy oil |
| 30 | corn oil |
| 31 | sunflower oil |
| 32 | beef grease |
| 33 | other oils and fats |
| 34 | lard of pork |
| 35 | banana fruit (iminike) |
| 36 | banana - beer (ikakama/inkashi) |
| 37 | banana - cooking (inyamunyo) |
| 38 | mangos |
| 39 | papayas |
| 40 | avocado |
| 41 | pineapple |
| 42 | guava |
| 43 | orange |
| 44 | mandarin |
| 45 | citron - lemon |
| 46 | passion fruit |
| 47 | plums |
| 48 | strawberries |
| 49 | other fruits |
| 50 | string bean |
| 51 | fresh bean |
| 52 | dry beans |
| 53 | soya (fresh) |
| 54 | soya (dry) |
| 55 | soya flour |
| 56 | peanut |
| 57 | peanut flour |
| 58 | fresh green pea |
| 59 | dry green pea |
| 60 | tomato |
| 61 | onion |
| 62 | garlic |
| 63 | green pepper |
| 64 | gourd/squash |
| 65 | cucumber |
| 66 | eggplant |
| 67 | carrot |
| 68 | leeks |
| 69 | cabbages |
| 70 | lettuce |
| 71 | parsley |
| 72 | mushroom |
| 73 | cassava leaves |
| 74 | amarante-small leafed |
| 75 | cabbages |
| 76 | kale |
| 77 | spinach |
| 78 | amarante-large leafed |
| 79 | other fresh leaves |
| 80 | other vegetables |
| 81 | irish potato |
| 82 | sweet potato |
| 83 | cassava (root) |
| 84 | dry cassava |
| 85 | cassava (fermented) |
| 86 | cassava (flour) |
| 87 | taro |
| 88 | yams |
| 89 | other tubers |
| 90 | honey |
| 91 | sugar cane |
| 92 | pepper-pilipili |
| 93 | pepper (ground) |
| 94 | coffee |
| 95 | tea |
| 96 | local banana juice |
| 97 | sorghum juice |
| 98 | passion fruit juice |
| 99 | other juices of fruits |
| 100 | local sorghum beer |
| 101 | local sorghum beer not fermented |
| 102 | other local beer |
| 103 | tobacco leaves |
| 104 | contruction wood |
| 105 | charcoal |
| 106 | wood-fuel |
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.