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    Home / Central Data Catalog / BDI_2021_MTF_V01_M / variable [F1]
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Multi-Tier Framework for Measuring Energy Access 2021

Burundi, 2021
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Reference ID
BDI_2021_MTF_v01_M
Producer(s)
Energy Sector Management Assistance Program (ESMAP)
Metadata
DDI/XML JSON
Created on
Feb 06, 2026
Last modified
Feb 06, 2026
Page views
44
Downloads
6
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • mtf_hh_burundi
  • membre_details
  • solar_devices
  • appliances
  • lighting_fuel
  • fuel
  • cookstoves
  • stove_fuel
  • fuel_consumption
  • time_collecting
  • time_use
  • health_impacts
  • chocs
  • food
  • nonfood_1mon
  • nonfood_1year
  • land
  • ea_electrification_status
  • weights

D9. What is the estimate of the internal wiring cost in your house? (d9)

Data file: mtf_hh_burundi

Overview

Valid: 2585
Minimum: 0
Maximum: 10000000
Mean: 121303.24023211
Type: Discrete
Width: 6
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 2
0.1%
5 1
0%
10 2
0.1%
20 1
0%
30 1
0%
35 1
0%
60 4
0.2%
120 1
0%
150 1
0%
200 1
0%
700 1
0%
888 Don't know 812
31.4%
1000 1
0%
1200 1
0%
1500 1
0%
1600 3
0.1%
1800 1
0%
2000 8
0.3%
2500 4
0.2%
3000 1
0%
3500 1
0%
4000 4
0.2%
4500 1
0%
5000 35
1.4%
5500 1
0%
6000 5
0.2%
7000 9
0.3%
8000 22
0.9%
9000 1
0%
10000 73
2.8%
12000 12
0.5%
12500 1
0%
13000 1
0%
14000 1
0%
15000 93
3.6%
16000 5
0.2%
18000 3
0.1%
20000 134
5.2%
22000 2
0.1%
23000 2
0.1%
25000 62
2.4%
26000 1
0%
28000 4
0.2%
30000 144
5.6%
32000 2
0.1%
34000 1
0%
35000 35
1.4%
38000 2
0.1%
40000 55
2.1%
45000 19
0.7%
50000 188
7.3%
51000 1
0%
52000 2
0.1%
55000 4
0.2%
60000 52
2%
63000 1
0%
65000 3
0.1%
68000 1
0%
70000 18
0.7%
75000 12
0.5%
80000 36
1.4%
82000 1
0%
85000 6
0.2%
90000 8
0.3%
95000 4
0.2%
96000 1
0%
100000 93
3.6%
105000 2
0.1%
110000 2
0.1%
120000 24
0.9%
125000 5
0.2%
130000 4
0.2%
135000 1
0%
140000 4
0.2%
145000 1
0%
150000 64
2.5%
156000 1
0%
160000 1
0%
165000 1
0%
170000 4
0.2%
175000 4
0.2%
180000 2
0.1%
185000 1
0%
200000 54
2.1%
210000 1
0%
230000 1
0%
240000 1
0%
250000 39
1.5%
260000 1
0%
280000 1
0%
300000 49
1.9%
350000 20
0.8%
360000 1
0%
375000 1
0%
400000 32
1.2%
450000 22
0.9%
475000 1
0%
492000 55
2.1%
500000 53
2.1%
550000 3
0.1%
560000 1
0%
600000 17
0.7%
650000 1
0%
680000 1
0%
690000 2
0.1%
700000 20
0.8%
740000 1
0%
750000 8
0.3%
780000 7
0.3%
800000 13
0.5%
840000 1
0%
850000 5
0.2%
870000 1
0%
880000 1
0%
900000 7
0.3%
950000 2
0.1%
1000000 11
0.4%
1500000 8
0.3%
1800000 1
0%
2000000 6
0.2%
2500000 1
0%
3000000 1
0%
5000000 2
0.1%
10000000 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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