Rwanda - Integrated Household Living Conditions Survey (EICV4), 2013-2014, VUP
Reference ID | RWA-NISR-DDI-EICV4-VUP-01 |
Year | 2013 - 2014 |
Country | Rwanda |
Producer(s) | National Institute of Statistics Rwanda (NISR) - Ministry of Finance and Economic Planning |
Sponsor(s) | African Development Bank - AfDB - Financial Partner World Bank - WB - Financial Partner UKaid - Ukaid - Financial Partner European Union - EU - Financial Partner One UN - EU - Financial Partner |
Metadata | Documentation in PDF |
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
740364
- vup_partb_filter_que
stions_hh - vup_s0_s5_household.
dta - vup_s1_s2_s3_s4_s6a_
s6e_s6f_person - vup_s5e_access to se
rvices - vup_s7a1_livestock.d
ta - vup_s7a2_livestock
- vup_s7a3_livestock
- vup_s7a4_livestock.d
ta - vup_s7b1_land_agricu
lture - vup_s7b2_land_agricu
lture - vup_s7c_parcels.dta
- vup_s7d_large_crop
- vup_s7e_small_crop.d
ta - vup_s7f_income_agric
ulture.dta - vup_s7g_expenditure_
agriculture.dta - vup_s7h_transformati
on_agriculture - vup_s8a1_expenditure
- vup_s8a2_expenditure
.dta - vup_s8a3_expenditure
.dta - vup_s8b_expenditure.
dta - vup_s8c_farming.dta
- vup_s9a_transfers_ou
t.dta - vup_s9b_transfers_in
.dta - vup_s9c_vup
- vup_s9c1_vup
- vup_s10a1_credits.dt
a - vup_s10a2_credits.dt
a - vup_s10b_goods
- vup_s10c_savings.dta
What spend financial service loan - 1st
(s9cq26a)
File: vup_s9c1_vup
File: vup_s9c1_vup
Overview
Type:
Discrete Format: numeric Width: 2 Decimals: 0 Range: 1-11 | Valid cases: 572 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | Buy durable assets for farm | 20 | 3.5% |
2 | Buy durable assets for non-farm business | 11 | 1.9% |
3 | To buy animals | 155 | 27.1% |
4 | Other farm investment | 134 | 23.4% |
5 | Business (small or large) investment | 103 | 18.0% |
6 | House improvements | 88 | 15.4% |
7 | Other | 13 | 2.3% |
8 | Consumption (excl. food/clothes) | 1 | 0.2% |
9 | 1 | 0.2% | |
10 | Health/Education | 42 | 7.3% |
11 | Consumption (food/clothes) | 4 | 0.7% |
warning_figures_indicate_number_of_cases_found