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    Home / Central Data Catalog / RWA-NISR-EICV4-CS-2013-2014-V01 / variable [F1]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
Cross-Sectional Sample

Rwanda, 2013 - 2014
Get Microdata
Reference ID
RWA-NISR-EICV4-CS-2013-2014-V01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 29, 2016
Last modified
Jun 22, 2026
Page views
2078738
Downloads
188977
  • Study Description
  • Data Dictionary
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  • Data files
  • cs_s0_s5_household
  • cs_s1_s2_s3_s4_s6a_s6e_s6f_person
  • cs_s5e_access
    to services
  • cs_s6b_employement_6c_salaried_s6d_business
  • cs_s7a1_livestock
  • cs_s7a2_livestock
  • cs_s7a3_livestock
  • cs_s7a4_livestock
  • cs_s7b1_land_agriculture
  • cs_s7b2_land_agriculture
  • cs_s7c_parcels
  • cs_s7d_large_crop
  • cs_s7e_small_crop
  • cs_s7f_income_agriculture
  • cs_s7g_expenditure_agriculture
  • cs_s7h_transformation_agriculture
  • cs_s8a1_expenditure
  • cs_s8a2_expenditure
  • cs_s8a3_expenditure
  • cs_s8b_expenditure
  • cs_s8c_farming
  • cs_s9a_transfers_out
  • cs_s9b_transfers_in
  • cs_s9c_vup
  • cs_s9c1_vup
  • cs_s9d_other_income
  • cs_s9e_other_expenditure
  • cs_s10a1_credits
  • cs_s10a2_credits
  • cs_s10b_goods
  • cs_s10c_savings
  • current_main_activity6
  • EICV4_poverty_file
  • EICV3_Povertyfile_Jan2014

Metres to main water source (s5cq2)

Data file: cs_s0_s5_household

Overview

Valid: 13321
Invalid: 1098
Type: Discrete
Decimal: 0
Start: 136
End: 139
Width: 4
Range: 0 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 40
0.3%
1 13
0.1%
2 8
0.1%
3 7
0.1%
4 2
0%
5 42
0.3%
6 1
0%
8 6
0%
10 95
0.7%
12 4
0%
15 36
0.3%
17 2
0%
18 1
0%
20 101
0.8%
25 16
0.1%
30 118
0.9%
35 4
0%
40 52
0.4%
45 2
0%
50 263
2%
55 1
0%
60 46
0.3%
65 2
0%
70 43
0.3%
80 102
0.8%
83 2
0%
85 1
0%
90 8
0.1%
96 1
0%
100 770
5.8%
110 3
0%
120 60
0.5%
125 1
0%
130 6
0%
135 1
0%
140 7
0.1%
150 347
2.6%
154 1
0%
160 17
0.1%
165 1
0%
166 2
0%
167 1
0%
170 9
0.1%
180 34
0.3%
190 3
0%
200 1017
7.6%
210 4
0%
220 6
0%
230 7
0.1%
240 13
0.1%
250 230
1.7%
252 1
0%
260 1
0%
270 13
0.1%
280 3
0%
300 1190
8.9%
305 1
0%
312 1
0%
315 1
0%
320 9
0.1%
330 3
0%
340 2
0%
350 98
0.7%
360 2
0%
370 3
0%
380 2
0%
400 714
5.4%
410 4
0%
415 19
0.1%
416 1
0%
420 13
0.1%
425 2
0%
430 2
0%
450 90
0.7%
460 1
0%
470 1
0%
480 2
0%
498 1
0%
500 1310
9.8%
520 1
0%
530 1
0%
540 1
0%
550 12
0.1%
560 1
0%
570 1
0%
580 4
0%
590 1
0%
600 518
3.9%
620 2
0%
630 2
0%
640 1
0%
650 19
0.1%
660 2
0%
670 3
0%
680 3
0%
700 427
3.2%
710 1
0%
720 2
0%
750 54
0.4%
800 719
5.4%
810 1
0%
820 3
0%
830 22
0.2%
835 1
0%
840 2
0%
850 30
0.2%
870 1
0%
900 139
1%
950 3
0%
970 1
0%
1000 1623
12.2%
1010 2
0%
1020 2
0%
1025 1
0%
1050 3
0%
1080 1
0%
1100 39
0.3%
1150 3
0%
1170 1
0%
1200 237
1.8%
1250 62
0.5%
1300 86
0.6%
1350 13
0.1%
1400 31
0.2%
1500 695
5.2%
1550 1
0%
1600 39
0.3%
1650 4
0%
1660 5
0%
1667 1
0%
1670 4
0%
1700 32
0.2%
1750 5
0%
1800 54
0.4%
1900 3
0%
1950 1
0%
2000 602
4.5%
2100 10
0.1%
2150 1
0%
2200 13
0.1%
2250 4
0%
2300 4
0%
2400 2
0%
2450 1
0%
2500 158
1.2%
2600 6
0%
2700 13
0.1%
2800 8
0.1%
2900 1
0%
3000 281
2.1%
3100 3
0%
3200 2
0%
3320 2
0%
3400 1
0%
3500 19
0.1%
3600 5
0%
3700 1
0%
3750 2
0%
3800 3
0%
4000 96
0.7%
4200 3
0%
4500 9
0.1%
4800 1
0%
5000 41
0.3%
5400 4
0%
6000 38
0.3%
6500 2
0%
8000 2
0%
9000 Greater than 9 km 7
0.1%
9999 Missing 1
0%
Sysmiss 1098
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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