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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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  • Get Microdata
  • 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 nearest drinking water source (s5cq4)

Data file: cs_s0_s5_household

Overview

Valid: 13321
Invalid: 1098
Type: Discrete
Decimal: 0
Start: 142
End: 146
Width: 5
Range: 0 - 12000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 4
0%
1 7
0.1%
2 3
0%
3 7
0.1%
4 1
0%
5 34
0.3%
6 1
0%
7 4
0%
8 7
0.1%
10 85
0.6%
12 2
0%
15 35
0.3%
20 95
0.7%
25 17
0.1%
30 107
0.8%
35 5
0%
40 47
0.4%
45 5
0%
50 273
2%
55 2
0%
60 60
0.5%
65 3
0%
70 43
0.3%
75 1
0%
80 106
0.8%
83 1
0%
90 10
0.1%
96 1
0%
100 761
5.7%
110 3
0%
120 62
0.5%
130 8
0.1%
135 1
0%
140 9
0.1%
150 356
2.7%
154 1
0%
160 16
0.1%
165 1
0%
166 3
0%
167 1
0%
170 10
0.1%
180 29
0.2%
190 5
0%
200 1037
7.8%
210 5
0%
220 5
0%
230 6
0%
240 10
0.1%
250 233
1.7%
252 1
0%
260 1
0%
270 16
0.1%
280 5
0%
300 1160
8.7%
312 1
0%
315 1
0%
320 7
0.1%
330 3
0%
340 1
0%
350 97
0.7%
360 2
0%
370 2
0%
380 4
0%
400 712
5.3%
410 5
0%
415 22
0.2%
416 1
0%
420 8
0.1%
425 2
0%
430 2
0%
450 74
0.6%
470 1
0%
480 3
0%
498 1
0%
500 1281
9.6%
520 1
0%
530 1
0%
540 2
0%
542 1
0%
550 11
0.1%
560 2
0%
570 1
0%
580 6
0%
590 1
0%
600 475
3.6%
620 1
0%
624 1
0%
630 2
0%
640 1
0%
650 16
0.1%
660 1
0%
670 3
0%
680 4
0%
700 400
3%
720 2
0%
750 49
0.4%
800 694
5.2%
820 2
0%
830 27
0.2%
835 1
0%
840 2
0%
850 27
0.2%
900 134
1%
950 4
0%
970 1
0%
1000 1527
11.5%
1010 1
0%
1020 1
0%
1025 1
0%
1030 1
0%
1050 2
0%
1100 48
0.4%
1150 2
0%
1200 234
1.8%
1245 1
0%
1250 62
0.5%
1300 79
0.6%
1350 14
0.1%
1400 27
0.2%
1500 697
5.2%
1550 2
0%
1600 53
0.4%
1650 2
0%
1660 5
0%
1670 3
0%
1700 37
0.3%
1750 3
0%
1800 58
0.4%
1880 1
0%
1890 2
0%
1900 6
0%
2000 624
4.7%
2050 1
0%
2075 1
0%
2100 16
0.1%
2150 1
0%
2200 22
0.2%
2250 3
0%
2300 11
0.1%
2400 4
0%
2500 200
1.5%
2600 6
0%
2700 19
0.1%
2800 9
0.1%
2850 1
0%
2900 2
0%
3000 345
2.6%
3100 2
0%
3150 1
0%
3200 2
0%
3320 3
0%
3400 1
0%
3500 41
0.3%
3600 6
0%
3650 1
0%
3700 1
0%
3750 2
0%
3800 3
0%
4000 117
0.9%
4050 3
0%
4100 2
0%
4200 1
0%
4500 19
0.1%
4800 4
0%
5000 59
0.4%
5400 4
0%
5500 2
0%
6000 53
0.4%
6500 1
0%
7000 5
0%
7150 1
0%
7200 1
0%
7300 1
0%
7500 5
0%
7700 1
0%
7800 1
0%
8000 9
0.1%
8200 1
0%
8500 1
0%
8700 1
0%
9000 Greater than 9 km 16
0.1%
9999 Missing 0
0%
12000 2
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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