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    Home / Central Data Catalog / RWA_2016_EICV-VUP_V01_M / variable [F27]
central

Integrated Household Living Conditions Survey 2016-2017, Vision 2020 Umurenge Program Panel

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_EICV-VUP_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
15952
Downloads
113
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • VUP_Panel_for_merge.dta
  • vup_S0_S5_Household.dta
  • vup_S1_S2_S3_S4_S6A_S6E_Person.dta
  • vup_S5F_Access_to_services.dta
  • vup_S6B_Employement_6C_Salaried_S6D_Business.dta
  • vup_S7A1_livestock.dta
  • vup_S7A2_livestock.dta
  • vup_S7A3_livestock.dta
  • vup_S7A4_livestock.dta
  • vup_S7B1_land_Agriculture.dta
  • vup_S7B2_land_Agriculture.dta
  • vup_S7C_parcels.dta
  • vup_S7D_large_crop.dta
  • vup_S7E_small_crop.dta
  • vup_S7F_income_agriculture.dta
  • vup_S7G_expenditure_agriculture.dta
  • vup_S7H_transformation_agriculture.dta
  • vup_S8A1_expenditure.dta
  • vup_S8A2_expenditure.dta
  • vup_S8A3_expenditure.dta
  • vup_S8B_expenditure.dta
  • vup_S8C_farming.dta
  • vup_S9A_transfers_out.dta
  • vup_S9B_transfers_in.dta
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
  • vup_S9D_other_income.dta
  • vup_S9E_Other_expenditure.dta
  • vup_S10A1_Credits.dta
  • vup_S10A2_Listing_of_credits.dta
  • vup_S10B1_Durable_household_goods.dta
  • vup_S10B2_Durable_household_goods.dta
  • vup_S10C1_Savings.dta
  • vup_S10C2_Tontine.dta

The total amount of the loan received (s9c4q34)

Data file: vup_S9C4_Vup_ubudehe_and_Rssp_schemes.dta

Overview

Valid: 154
Invalid: -
Minimum: 36000
Maximum: 4000000
Type: Discrete
Decimal: 0
Start: 68
End: 74
Width: 7
Range: 36000 - 4000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
36000 1
0.6%
50000 1
0.6%
60000 33
21.4%
62500 1
0.6%
70000 1
0.6%
80000 1
0.6%
85000 1
0.6%
100000 20
13%
103000 1
0.6%
180000 1
0.6%
183000 1
0.6%
210000 2
1.3%
300000 2
1.3%
375000 1
0.6%
420000 1
0.6%
480000 1
0.6%
500000 1
0.6%
600000 1
0.6%
630000 2
1.3%
640000 6
3.9%
703000 1
0.6%
750000 1
0.6%
765000 1
0.6%
768183 1
0.6%
781000 1
0.6%
800000 4
2.6%
850000 1
0.6%
907500 2
1.3%
1000000 15
9.7%
1100000 4
2.6%
1105000 1
0.6%
1200000 3
1.9%
1275000 2
1.3%
1300000 1
0.6%
1360000 3
1.9%
1400000 1
0.6%
1440000 3
1.9%
1500000 3
1.9%
1600000 2
1.3%
1800000 1
0.6%
2000000 10
6.5%
2002000 1
0.6%
2006000 1
0.6%
2200000 1
0.6%
2500000 2
1.3%
2550000 4
2.6%
3000000 1
0.6%
3150000 3
1.9%
4000000 1
0.6%
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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