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
178353
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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 code of small scale agricultural production (item)
Data file: eng_eicv2_s8e_ag_production2
Overview
Valid:
42328
Invalid:
2057
Type:
Discrete
Decimal:
0
Start:
22
End:
25
Width:
4
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | rice |
| 2 | corn |
| 3 | sorghum |
| 4 | wheat |
| 5 | other grains |
| 6 | manioc |
| 7 | yams |
| 8 | sweet potatoes |
| 9 | potatoes |
| 10 | taro |
| 11 | soy |
| 12 | peanuts |
| 13 | beans |
| 14 | peas |
| 15 | sweet bananas |
| 16 | cooking bananas |
| 17 | beer bananas |
| 18 | mangos |
| 19 | papayas |
| 20 | avocados |
| 21 | pineapples |
| 22 | guayavas |
| 23 | oranges |
| 24 | tangerines |
| 25 | lemons |
| 26 | grapefruits |
| 27 | passion fruit |
| 28 | plums |
| 29 | strawberry |
| 30 | fresh beans |
| 31 | green beans |
| 32 | tomatoes |
| 33 | onions |
| 34 | garlic |
| 35 | pepper |
| 36 | bell pepper |
| 37 | squash |
| 38 | zucchini |
| 39 | eggplant |
| 40 | calette |
| 41 | scallion |
| 42 | cabbage |
| 43 | lettuce |
| 44 | parsley |
| 45 | fresh peas |
| 46 | mushrooms |
| 47 | manioc leaves |
| 48 | rengarenga |
| 49 | imbwija |
| 50 | tea |
| 51 | coffee |
| 1701 | leaves of tobacco dried |
| 1805 | dry maize (grain) |
| 1808 | eleusine |
| 1909 | other tubers |
| 2004 | dry green pea |
| 2008 | other legumes |
| 2112 | grapefruit |
| 2117 | other fruits |
| 2207 | pepper |
| 2215 | parsley |
| 2221 | other fresh leaves |
| 2222 | other vegetables |
| 2801 | sugar cane |
| 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.