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    Home / Central Data Catalog / RWA_2013_EICV-IV_V01_M / variable [F25]
central

Integrated Household Living Conditions Survey 2013 -2014

Rwanda, 2013 - 2014
Reference ID
RWA_2013_EICV-IV_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
112545
Downloads
38930
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  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV3_Povertyfile_Jan2014
  • EICV4_poverty_file

Total amount of loan to individual/group or cooperative (s9cq24)

Data file: cs_s9c1_vup

Overview

Valid: 239
Invalid: 0
Minimum: 6000
Maximum: 3000000
Type: Discrete
Decimal: 0
Start: 41
End: 47
Width: 7
Range: -
Format:

Questions and instructions

Categories
Value Category
6000
12000
15000
20000
22000
25000
28000
30000
32350
39000
40000
50000
60000
61000
70000
74000
75000
80000
82000
84000
84200
85000
90000
100000
110000
120000
150000
160000
162000
180000
200000
210000
240000
255000
300000
320000
340000
350000
375000
400000
468000
480000
490000
500000
539980
560000
600000
640000
644000
700000
730000
750000
780000
800000
825000
850000
935000
975000
1000000
1020000
1100000
1200000
1300000
1400000
1500000
1600000
1650000
1700000
2000000
2200000
2500000
3000000
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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