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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 [F2]
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
28691
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

Amount spend for cooking fuel during last month (s5cq18b8a)

Data file: vup_S0_S5_Household

Overview

Valid: 1644
Invalid: 0
Type: Discrete
Decimal: 0
Start: 195
End: 200
Width: 6
Range: 0 - 888888
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 1192
72.5%
100 1
0.1%
200 4
0.2%
250 2
0.1%
300 10
0.6%
400 11
0.7%
500 32
1.9%
600 7
0.4%
700 3
0.2%
800 8
0.5%
850 1
0.1%
900 1
0.1%
1000 42
2.6%
1100 1
0.1%
1200 6
0.4%
1250 1
0.1%
1500 19
1.2%
1600 2
0.1%
1700 1
0.1%
1800 2
0.1%
2000 51
3.1%
2100 2
0.1%
2200 2
0.1%
2400 4
0.2%
2500 10
0.6%
2700 1
0.1%
2800 3
0.2%
3000 41
2.5%
3200 4
0.2%
3500 10
0.6%
3600 1
0.1%
3700 1
0.1%
3800 1
0.1%
4000 11
0.7%
4200 2
0.1%
4500 9
0.5%
4900 1
0.1%
5000 26
1.6%
5350 1
0.1%
5400 1
0.1%
5500 1
0.1%
5600 2
0.1%
6000 26
1.6%
6300 2
0.1%
6500 2
0.1%
6800 1
0.1%
7000 16
1%
7500 8
0.5%
8000 13
0.8%
8300 1
0.1%
8400 1
0.1%
8500 1
0.1%
9000 8
0.5%
9200 1
0.1%
9500 2
0.1%
10000 2
0.1%
10400 2
0.1%
10500 1
0.1%
10800 1
0.1%
11000 1
0.1%
12000 4
0.2%
13600 1
0.1%
14000 6
0.4%
15000 4
0.2%
15500 1
0.1%
16500 1
0.1%
18000 2
0.1%
20000 1
0.1%
888888 Don't kwon 4
0.2%
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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