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    Home / Central Data Catalog / RWA_2016_EICV-V_V01_M / variable [F26]
central

Integrated Household Living Conditions Survey 2016-2017

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_EICV-V_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
21499
Downloads
382
  • Study Description
  • Data Dictionary
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  • Data files
  • cs_S0_S5_Household.dta
  • cs_S1_S2_S3_S4_S6A_S6E_Person.dta
  • cs_S5F_Access_to_services.dta
  • cs_S6B_Employement_6C_Salaried_S6D_Business.dta
  • cs_S7A1_livestock.dta
  • cs_S7A2_livestock.dta
  • cs_S7A3_livestock.dta
  • cs_S7A4_livestock.dta
  • cs_S7B1_land_Agriculture.dta
  • cs_S7B2_land_Agriculture.dta
  • cs_S7C_parcels.dta
  • cs_S7D_large_crop.dta
  • cs_S7E_small_crop.dta
  • cs_S7F_income_agriculture.dta
  • cs_S7G_expenditure_agriculture.dta
  • cs_S7H_transformation_agriculture.dta
  • cs_S8A1_expenditure.dta
  • cs_S8A2_expenditure.dta
  • cs_S8A3_expenditure.dta
  • cs_S8B_expenditure.dta
  • cs_S8C_farming.dta
  • cs_S9A_transfers_out.dta
  • cs_S9B_transfers_in.dta
  • cs_S9C_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9D_other_income.dta
  • cs_S9E_Other_expenditure.dta
  • cs_S10A1_Credits.dta
  • cs_S10A2_Listing_of_credits.dta
  • cs_S10B1_Durable_household_goods.dta
  • cs_S10B2_Durable_household_goods.dta
  • cs_S10C1_Savings.dta
  • cs_S10C2_Tontine.dta
  • EICV5_Poverty_file.dta

Amount of loan used independently of the group/ cooperative (s9c4q37)

Data file: cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta

Overview

Valid: 70
Invalid: 67
Minimum: 0
Maximum: 275000
Type: Discrete
Decimal: 0
Start: 81
End: 86
Width: 6
Range: 0 - 275000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 17
24.3%
888 1
1.4%
37000 1
1.4%
60000 5
7.1%
70000 3
4.3%
75000 2
2.9%
76600 1
1.4%
80000 3
4.3%
89000 1
1.4%
90900 1
1.4%
100000 17
24.3%
117000 1
1.4%
130000 1
1.4%
136364 2
2.9%
140000 2
2.9%
150000 2
2.9%
170000 1
1.4%
180000 1
1.4%
200000 6
8.6%
210000 1
1.4%
275000 1
1.4%
Sysmiss 67
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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