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    Home / Central Data Catalog / RWA_2016_EICV-V_V01_M / variable [F6]
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Integrated Household Living Conditions Survey 2016-2017

Rwanda, 2016 - 2017
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Reference ID
RWA_2016_EICV-V_v01_M
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
24058
Downloads
435
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • cs_S0_S5_Household.dta
  • cs_S1_S2_S3_S4_S6A_S6E_Person.dta
  • cs_S5F_Access_to_services.dta
  • cs_S6B_Employement_6C_Salaried_S6D_Business.dta
  • cs_S7A1_livestock.dta
  • cs_S7A2_livestock.dta
  • cs_S7A3_livestock.dta
  • cs_S7A4_livestock.dta
  • cs_S7B1_land_Agriculture.dta
  • cs_S7B2_land_Agriculture.dta
  • cs_S7C_parcels.dta
  • cs_S7D_large_crop.dta
  • cs_S7E_small_crop.dta
  • cs_S7F_income_agriculture.dta
  • cs_S7G_expenditure_agriculture.dta
  • cs_S7H_transformation_agriculture.dta
  • cs_S8A1_expenditure.dta
  • cs_S8A2_expenditure.dta
  • cs_S8A3_expenditure.dta
  • cs_S8B_expenditure.dta
  • cs_S8C_farming.dta
  • cs_S9A_transfers_out.dta
  • cs_S9B_transfers_in.dta
  • cs_S9C_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9C3_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9C4_Vup_ubudehe_and_Rssp_schemes.dta
  • cs_S9D_other_income.dta
  • cs_S9E_Other_expenditure.dta
  • cs_S10A1_Credits.dta
  • cs_S10A2_Listing_of_credits.dta
  • cs_S10B1_Durable_household_goods.dta
  • cs_S10B2_Durable_household_goods.dta
  • cs_S10C1_Savings.dta
  • cs_S10C2_Tontine.dta
  • EICV5_Poverty_file.dta

Cost of using the pasture (s7a2q8)

Data file: cs_S7A2_livestock.dta

Overview

Valid: 148
Invalid: 8815
Minimum: 0
Maximum: 3500000
Type: Discrete
Decimal: 0
Start: 45
End: 51
Width: 7
Range: 0 - 3500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not applicable 45
30.4%
400 1
0.7%
700 1
0.7%
1000 1
0.7%
1500 1
0.7%
2000 4
2.7%
2500 2
1.4%
3000 8
5.4%
3500 1
0.7%
4000 1
0.7%
4500 1
0.7%
4600 1
0.7%
5000 9
6.1%
6000 1
0.7%
7000 1
0.7%
8000 2
1.4%
10000 5
3.4%
12000 2
1.4%
15000 4
2.7%
19000 1
0.7%
20000 5
3.4%
24000 1
0.7%
25000 2
1.4%
30000 8
5.4%
31500 2
1.4%
35000 1
0.7%
40000 4
2.7%
45000 1
0.7%
48000 1
0.7%
50000 6
4.1%
60000 1
0.7%
65000 1
0.7%
80000 2
1.4%
100000 5
3.4%
108000 1
0.7%
110000 1
0.7%
120000 1
0.7%
140000 1
0.7%
150000 1
0.7%
173000 1
0.7%
200000 1
0.7%
250000 1
0.7%
300000 3
2%
400000 2
1.4%
500000 1
0.7%
550000 1
0.7%
3500000 1
0.7%
Sysmiss 8815
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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