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
178413
Downloads
5163
- 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
amount of sales (s8hq11)
Data file: eng_eicv2_s8h_ag_process
Overview
Valid:
1828
Invalid:
10109
Type:
Discrete
Decimal:
0
Start:
59
End:
64
Width:
6
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| -1 | missing |
| 0 | |
| 150 | |
| 180 | |
| 200 | |
| 300 | |
| 320 | |
| 480 | |
| 490 | |
| 500 | |
| 600 | |
| 700 | |
| 720 | |
| 750 | |
| 840 | |
| 900 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1760 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2320 | |
| 2400 | |
| 2430 | |
| 2450 | |
| 2480 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2880 | |
| 3000 | |
| 3150 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 4810 | |
| 5000 | |
| 5120 | |
| 5160 | |
| 5200 | |
| 5350 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5950 | |
| 6000 | |
| 6100 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6650 | |
| 6750 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7260 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7920 | |
| 8000 | |
| 8100 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8750 | |
| 8800 | |
| 8860 | |
| 9000 | |
| 9100 | |
| 9280 | |
| 9500 | |
| 9600 | |
| 9720 | |
| 10000 | |
| 10400 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11050 | |
| 11200 | |
| 11340 | |
| 11500 | |
| 11900 | |
| 12000 | |
| 12090 | |
| 12200 | |
| 12250 | |
| 12500 | |
| 12600 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13600 | |
| 13800 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 15100 | |
| 15120 | |
| 15200 | |
| 16000 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17280 | |
| 17500 | |
| 17600 | |
| 17700 | |
| 18000 | |
| 18200 | |
| 18400 | |
| 18720 | |
| 19200 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 20400 | |
| 21000 | |
| 21500 | |
| 21600 | |
| 22000 | |
| 22400 | |
| 22500 | |
| 23400 | |
| 23450 | |
| 24000 | |
| 25000 | |
| 25200 | |
| 25600 | |
| 26000 | |
| 26400 | |
| 27000 | |
| 27200 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 28800 | |
| 29000 | |
| 30000 | |
| 30600 | |
| 31500 | |
| 32000 | |
| 32400 | |
| 32500 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 35000 | |
| 35700 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38400 | |
| 39000 | |
| 40000 | |
| 40500 | |
| 41600 | |
| 41650 | |
| 42000 | |
| 42500 | |
| 43200 | |
| 44000 | |
| 45000 | |
| 48000 | |
| 48400 | |
| 50000 | |
| 50400 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 52800 | |
| 54000 | |
| 54400 | |
| 54600 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 57600 | |
| 60000 | |
| 62400 | |
| 62500 | |
| 64400 | |
| 64800 | |
| 65000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 83250 | |
| 84000 | |
| 85000 | |
| 88000 | |
| 90000 | |
| 91000 | |
| 93000 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 100000 | |
| 102000 | |
| 104000 | |
| 105600 | |
| 107500 | |
| 108000 | |
| 110400 | |
| 111000 | |
| 112500 | |
| 115200 | |
| 117600 | |
| 120000 | |
| 120400 | |
| 121000 | |
| 122400 | |
| 124800 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 130000 | |
| 132000 | |
| 136000 | |
| 140000 | |
| 144000 | |
| 150000 | |
| 156000 | |
| 165000 | |
| 168000 | |
| 180000 | |
| 184000 | |
| 200000 | |
| 210000 | |
| 216000 | |
| 218500 | |
| 224000 | |
| 240000 | |
| 249000 | |
| 250000 | |
| 252000 | |
| 259200 | |
| 265500 | |
| 288000 | |
| 360000 | |
| 362500 | |
| 392000 | |
| 400000 | |
| 643500 | |
| 720000 | |
| 840000 | |
| 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.