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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F14]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • 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
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

Amount received from sales last 4 weeks (s7fq2)

Data file: vup_s7f_income_agriculture.dta

Overview

Valid: 634
Invalid: 28886
Type: Discrete
Decimal: 0
Start: 99
End: 106
Width: 8
Range: 0 - 99999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 447
70.5%
1 2
0.3%
2 6
0.9%
100 1
0.2%
200 4
0.6%
250 2
0.3%
300 4
0.6%
400 3
0.5%
500 13
2.1%
600 4
0.6%
650 1
0.2%
700 3
0.5%
800 1
0.2%
900 2
0.3%
1000 28
4.4%
1100 1
0.2%
1200 1
0.2%
1500 16
2.5%
1600 1
0.2%
1650 1
0.2%
1900 1
0.2%
2000 19
3%
2300 1
0.2%
2500 4
0.6%
3000 14
2.2%
3500 1
0.2%
4000 7
1.1%
4500 1
0.2%
4700 1
0.2%
5000 8
1.3%
6000 8
1.3%
6500 1
0.2%
7000 2
0.3%
8000 7
1.1%
8800 1
0.2%
9000 2
0.3%
10000 4
0.6%
12000 2
0.3%
13000 1
0.2%
14000 1
0.2%
16000 1
0.2%
17000 1
0.2%
18000 1
0.2%
20000 2
0.3%
24000 1
0.2%
29000 1
0.2%
99999999 Missing 0
0%
Sysmiss 28886
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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