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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F16]
central

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

Rwanda, 2013 - 2014
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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
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  • 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

Labour cost in cash or in-kind (s7hq4)

Data file: vup_s7h_transformation_agriculture

Overview

Valid: 9021
Invalid: 0
Type: Discrete
Decimal: 0
Start: 44
End: 52
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 8588
95.2%
20 1
0%
30 1
0%
40 5
0.1%
45 1
0%
50 8
0.1%
60 4
0%
80 8
0.1%
90 3
0%
100 21
0.2%
120 3
0%
125 1
0%
140 1
0%
150 16
0.2%
160 5
0.1%
165 1
0%
180 3
0%
200 24
0.3%
210 1
0%
220 1
0%
225 2
0%
240 1
0%
250 17
0.2%
300 19
0.2%
320 1
0%
350 1
0%
375 2
0%
390 1
0%
400 22
0.2%
440 1
0%
450 9
0.1%
480 2
0%
500 19
0.2%
550 1
0%
560 1
0%
600 25
0.3%
620 1
0%
625 1
0%
700 4
0%
720 2
0%
750 14
0.2%
760 1
0%
780 1
0%
800 10
0.1%
810 1
0%
900 5
0.1%
1000 30
0.3%
1050 1
0%
1100 1
0%
1150 4
0%
1200 10
0.1%
1250 3
0%
1400 2
0%
1500 11
0.1%
1550 1
0%
1575 1
0%
1600 6
0.1%
1650 1
0%
1800 3
0%
2000 22
0.2%
2100 4
0%
2125 1
0%
2400 4
0%
2500 13
0.1%
2650 1
0%
3000 7
0.1%
3800 1
0%
4000 4
0%
4200 2
0%
4500 1
0%
4800 1
0%
5000 8
0.1%
5500 1
0%
6000 2
0%
7000 1
0%
8000 1
0%
9600 1
0%
10000 2
0%
12000 4
0%
17000 1
0%
20000 1
0%
30000 1
0%
42000 1
0%
56000 1
0%
60000 1
0%
999999999 Missing 0
0%
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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