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
230386
Downloads
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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
amount of loan repaid (s7bq16)
Data file: employment
Overview
Valid:
292
Invalid:
22921
Type:
Discrete
Decimal:
0
Start:
183
End:
190
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | nothing reimbursed |
| 200 | |
| 300 | |
| 500 | |
| 750 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6360 | |
| 6500 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 10000 | |
| 10200 | |
| 10600 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13300 | |
| 15000 | |
| 16000 | |
| 16200 | |
| 16800 | |
| 17000 | |
| 17500 | |
| 17800 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22400 | |
| 23000 | |
| 23100 | |
| 24000 | |
| 25000 | |
| 29000 | |
| 30000 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 34400 | |
| 35000 | |
| 35080 | |
| 36000 | |
| 38000 | |
| 38400 | |
| 38500 | |
| 39000 | |
| 39200 | |
| 39500 | |
| 40000 | |
| 42000 | |
| 44800 | |
| 45000 | |
| 45600 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 49000 | |
| 50000 | |
| 51800 | |
| 54000 | |
| 54500 | |
| 56000 | |
| 57000 | |
| 57500 | |
| 60000 | |
| 62000 | |
| 62125 | |
| 65000 | |
| 67200 | |
| 70000 | |
| 75000 | |
| 76000 | |
| 80000 | |
| 80600 | |
| 82000 | |
| 84000 | |
| 90000 | |
| 98290 | |
| 99440 | |
| 100000 | |
| 100940 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 115000 | |
| 118000 | |
| 120000 | |
| 120400 | |
| 125000 | |
| 150000 | |
| 152500 | |
| 156000 | |
| 160000 | |
| 171000 | |
| 172000 | |
| 175000 | |
| 178000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 214200 | |
| 220000 | |
| 225000 | |
| 235000 | |
| 236000 | |
| 240000 | |
| 255000 | |
| 298000 | |
| 300000 | |
| 330000 | |
| 336000 | |
| 392000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 700000 | |
| 800000 | |
| 840000 | |
| 1000000 | |
| 1400000 | |
| 1500000 | |
| 1690000 | |
| 2000000 | |
| 3000000 | |
| 4960000 | |
| 5000000 | |
| 10000000 | |
| 10180000 | |
| 13005850 | |
| 15000000 | |
| 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.