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    Home / Central Data Catalog / RWA-NISR-EICV5-VUP-2016-2017-V01 / variable [F20]
central

Integrated Household Living Conditions Survey (EICV5), 2016-2017, VUP

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-EICV5-VUP-2016-2017-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 04, 2019
Last modified
Feb 04, 2019
Page views
791561
Downloads
85860
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • VUP_Panel_for_merge
  • vup_S0_S5_Household
  • vup_S1_S2_S3_S4_S6A_S6E_Person
  • vup_S5F_Access_to_services
  • vup_S6B_Employement_6C_Salaried_S6D_Business
  • vup_S7A1_livestock
  • vup_S7A2_livestock
  • vup_S7A3_livestock
  • vup_S7A4_livestock
  • vup_S7B1_land_Agriculture
  • vup_S7B2_land_Agriculture
  • vup_S7C_parcels
  • vup_S7D_large_crop
  • vup_S7E_small_crop
  • vup_S7F_income_agriculture
  • vup_S7G_expenditure_agriculture
  • vup_S7H_transformation_agriculture
  • vup_S8A1_expenditure
  • vup_S8A2_expenditure
  • vup_S8A3_expenditure
  • vup_S8B_expenditure
  • vup_S8C_farming
  • vup_S9A_transfers_out
  • vup_S9B_transfers_in
  • vup_S9C_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C3_Vup_ubudehe_and_Rssp_schemes
  • vup_S9C4_Vup_ubudehe_and_Rssp_schemes
  • vup_S9D_other_income
  • vup_S9E_Other_expenditure
  • vup_S10A1_Credits
  • vup_S10A2_Listing_of_credits
  • vup_S10B1_Durable_household_goods
  • vup_S10B2_Durable_household_goods
  • vup_S10C1_Savings
  • vup_S10C2_Tontine

Visit 4 (s8a3q6)

Data file: vup_S8A3_expenditure

Overview

Valid: 60828
Invalid: 0
Type: Discrete
Decimal: 0
Start: 95
End: 99
Width: 5
Range: 0 - 20000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 58520
96.2%
20 149
0.2%
25 1
0%
30 8
0%
40 11
0%
50 243
0.4%
60 9
0%
70 8
0%
80 4
0%
90 2
0%
100 659
1.1%
110 34
0.1%
120 62
0.1%
130 18
0%
140 18
0%
150 66
0.1%
160 3
0%
170 11
0%
180 6
0%
190 1
0%
200 227
0.4%
210 23
0%
220 35
0.1%
230 24
0%
240 15
0%
250 29
0%
270 4
0%
280 2
0%
290 1
0%
300 81
0.1%
310 10
0%
320 22
0%
330 5
0%
340 5
0%
350 11
0%
360 1
0%
370 1
0%
380 3
0%
390 1
0%
400 52
0.1%
410 5
0%
420 12
0%
430 8
0%
440 2
0%
450 19
0%
460 1
0%
470 3
0%
480 1
0%
490 1
0%
500 72
0.1%
510 7
0%
520 3
0%
530 7
0%
540 3
0%
550 2
0%
570 2
0%
580 1
0%
600 48
0.1%
610 4
0%
620 5
0%
630 1
0%
640 1
0%
650 2
0%
700 11
0%
720 4
0%
730 1
0%
740 1
0%
750 3
0%
800 19
0%
810 1
0%
820 3
0%
830 2
0%
850 1
0%
900 9
0%
920 2
0%
950 1
0%
1000 32
0.1%
1010 1
0%
1020 3
0%
1030 2
0%
1050 2
0%
1100 4
0%
1110 1
0%
1120 1
0%
1130 1
0%
1150 1
0%
1170 1
0%
1200 11
0%
1220 1
0%
1240 2
0%
1300 1
0%
1320 1
0%
1370 1
0%
1400 5
0%
1470 1
0%
1500 12
0%
1510 1
0%
1520 1
0%
1530 1
0%
1600 2
0%
1700 1
0%
1750 1
0%
1800 6
0%
2000 12
0%
2040 1
0%
2100 2
0%
2150 1
0%
2200 1
0%
2250 1
0%
2280 1
0%
2350 1
0%
2400 4
0%
2410 1
0%
2420 1
0%
2500 4
0%
2600 2
0%
2800 2
0%
3000 8
0%
3150 1
0%
3210 1
0%
3300 1
0%
3400 2
0%
3500 1
0%
3700 1
0%
4000 8
0%
4020 1
0%
4500 2
0%
5000 3
0%
5050 1
0%
5100 1
0%
5400 1
0%
5800 1
0%
6000 1
0%
6630 1
0%
6800 1
0%
7150 1
0%
8000 2
0%
8800 1
0%
8850 1
0%
10200 1
0%
12000 1
0%
20000 1
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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