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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2016-2017_EICV-W5-VUP_V01_EN_M_V01_A_OCS / variable [F21]
agricultural-surveys

Integrated Household Living Conditions Survey, Wave 5, VUP, 2016-2017.

Rwanda, 2016 - 2017
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Reference ID
RWA_2016-2017_EICV-W5-VUP_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics Rwanda (NISR)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 07, 2021
Last modified
Mar 07, 2021
Page views
28951
Downloads
226
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • VUP_Panel_for_merge
  • vup_S0_S5_Household
  • vup_S1_S2_S3_S4_S6A_S6E_Person
  • vup_S5F_Access_to_services
  • vup_S6B_Employement_6C_Salaried_S6D_Business
  • vup_S7A1_livestock
  • vup_S7A2_livestock
  • vup_S7A3_livestock
  • vup_S7A4_livestock
  • vup_S7B1_land_Agriculture
  • vup_S7B2_land_Agriculture
  • vup_S7C_parcels
  • vup_S7D_large_crop
  • vup_S7E_small_crop
  • vup_S7F_income_agriculture
  • vup_S7G_expenditure_agriculture
  • vup_S7H_transformation_agriculture
  • vup_S8A1_expenditure
  • vup_S8A2_expenditure
  • vup_S8A3_expenditure
  • vup_S8B_expenditure
  • vup_S8C_farming
  • vup_S9A_transfers_out
  • vup_S9B_transfers_in
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes
  • vup_S9D_other_income
  • vup_S9E_Other_expenditure
  • vup_S10A1_Credits
  • vup_S10A2_Listing_of_credits
  • vup_S10B1_Durable_household_goods
  • vup_S10B2_Durable_household_goods
  • vup_S10C1_Savings
  • vup_S10C2_Tontine

District Name (district)

Data file: vup_S8B_expenditure

Overview

Valid: 246600
Invalid: 0
Type: Discrete
Decimal: 0
Start: 21
End: 22
Width: 2
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 12300
5%
12 Gasabo 24900
10.1%
13 Kicukiro 23400
9.5%
21 Nyanza 2100
0.9%
22 Gisagara 8100
3.3%
23 Nyaruguru 8100
3.3%
24 Huye 3900
1.6%
25 Nyamagabe 5850
2.4%
26 Ruhango 7500
3%
27 Muhanga 7050
2.9%
28 Kamonyi 2100
0.9%
31 Karongi 4500
1.8%
32 Rutsiro 3450
1.4%
33 Rubavu 3300
1.3%
34 Nyabihu 6000
2.4%
35 Ngororero 4050
1.6%
36 Rusizi 6000
2.4%
37 Nyamasheke 14700
6%
41 Rulindo 11250
4.6%
42 Gakenke 13650
5.5%
43 Musanze 9300
3.8%
44 Burera 12000
4.9%
45 Gicumbi 13050
5.3%
51 Rwamagana 4650
1.9%
52 Nyagatare 3750
1.5%
53 Gatsibo 7200
2.9%
54 Kayonza 4950
2%
55 Kirehe 6600
2.7%
56 Ngoma 7500
3%
57 Bugesera 5400
2.2%
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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