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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2013-2014_EICV-W4-VUP_V01_EN_M_V01_A_OCS / variable [F8]
agricultural-surveys

Integrated Household Living Conditions Survey - Wave 4, VUP Sample, 2013-2014.

Rwanda, 2013 - 2014
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Reference ID
RWA_2013-2014_EICV-W4-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
25773
Downloads
991
  • 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 spent on livestock in last 4 weeks (s7a4q5)

Data file: vup_s7a4_livestock.dta

Overview

Valid: 773
Invalid: 18857
Type: Discrete
Decimal: 0
Start: 117
End: 121
Width: 5
Range: 50 - 99999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
50 2
0.3%
100 35
4.5%
120 2
0.3%
130 1
0.1%
150 13
1.7%
170 2
0.3%
180 1
0.1%
200 83
10.7%
230 1
0.1%
240 1
0.1%
250 14
1.8%
280 1
0.1%
300 76
9.8%
350 5
0.6%
400 43
5.6%
450 3
0.4%
500 74
9.6%
510 1
0.1%
530 1
0.1%
550 1
0.1%
600 31
4%
650 1
0.1%
700 8
1%
750 1
0.1%
800 20
2.6%
810 1
0.1%
830 1
0.1%
900 4
0.5%
1000 36
4.7%
1050 1
0.1%
1100 4
0.5%
1200 15
1.9%
1300 1
0.1%
1350 1
0.1%
1400 4
0.5%
1500 21
2.7%
1600 4
0.5%
1800 5
0.6%
1900 1
0.1%
2000 58
7.5%
2200 2
0.3%
2300 3
0.4%
2400 4
0.5%
2500 7
0.9%
2700 1
0.1%
2800 1
0.1%
3000 51
6.6%
3200 1
0.1%
3500 5
0.6%
3600 2
0.3%
3800 1
0.1%
4000 21
2.7%
4050 1
0.1%
4200 1
0.1%
4500 2
0.3%
4670 1
0.1%
5000 23
3%
5500 1
0.1%
5800 1
0.1%
6000 10
1.3%
6300 1
0.1%
6500 4
0.5%
7000 12
1.6%
7100 1
0.1%
7500 2
0.3%
8000 2
0.3%
9000 3
0.4%
10000 7
0.9%
11000 1
0.1%
11200 1
0.1%
12000 2
0.3%
12500 1
0.1%
13000 1
0.1%
15000 7
0.9%
17500 1
0.1%
20000 3
0.4%
21000 1
0.1%
24000 1
0.1%
27000 1
0.1%
30000 2
0.3%
37900 1
0.1%
99999 Missing 1
0.1%
Sysmiss 18857
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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