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    Home / Central Data Catalog / IMPACT_EVALUATION / TJK_2015_HRBFIE-HBL_V01_M / variable [F1]
impact_evaluation

Health Results Based Financing Impact Evaluation 2015, Household Baseline Survey

Tajikistan, 2015
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Reference ID
TJK_2015_HRBFIE-HBL_v01_M
DOI
https://doi.org/10.48529/egfr-6b87
Producer(s)
Damien de Walque, Aneesa Arur, Gil Shapira
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 30, 2017
Last modified
Mar 30, 2017
Page views
113613
Downloads
2663
  • Study Description
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  • Data files
  • line_total
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If you were to sell your [DURABLE GOOD] today, how much money could you get for (S6_Q3_18)

Data file: line_total

Overview

Valid: 1919
Invalid: 3113
Minimum: -99
Maximum: 1500000
Type: Discrete
Decimal: 0
Start: 203
End: 209
Width: 7
Range: -99 - 1500000
Format: Numeric

Questions and instructions

Literal question
If you were to sell your [DURABLE GOOD] today, how much money could you get for it?
- Truck or car
Categories
Value Category Cases
-99 DON'T KNOW 548
28.6%
500 11
0.6%
600 3
0.2%
700 5
0.3%
800 3
0.2%
900 3
0.2%
980 1
0.1%
1000 45
2.3%
1072 1
0.1%
1200 1
0.1%
1250 1
0.1%
1300 4
0.2%
1320 1
0.1%
1400 2
0.1%
1500 27
1.4%
1600 3
0.2%
1700 1
0.1%
1800 6
0.3%
1890 1
0.1%
2000 101
5.3%
2100 1
0.1%
2200 1
0.1%
2300 1
0.1%
2400 1
0.1%
2500 29
1.5%
2680 1
0.1%
2700 2
0.1%
2830 1
0.1%
3000 95
5%
3100 1
0.1%
3150 1
0.1%
3200 2
0.1%
3250 1
0.1%
3500 12
0.6%
3600 1
0.1%
3700 1
0.1%
4000 41
2.1%
4200 2
0.1%
4340 1
0.1%
4500 5
0.3%
4800 1
0.1%
5000 67
3.5%
5400 1
0.1%
5600 1
0.1%
5670 1
0.1%
6000 67
3.5%
6005 1
0.1%
6200 1
0.1%
6400 1
0.1%
6500 14
0.7%
6800 1
0.1%
7000 23
1.2%
7500 2
0.1%
8000 20
1%
8400 1
0.1%
9000 17
0.9%
9500 1
0.1%
9600 2
0.1%
9750 2
0.1%
9800 1
0.1%
9870 1
0.1%
10000 65
3.4%
10080 1
0.1%
10500 1
0.1%
10800 1
0.1%
11000 3
0.2%
12000 65
3.4%
12600 1
0.1%
12800 1
0.1%
13000 19
1%
13400 1
0.1%
14000 10
0.5%
15000 57
3%
15500 1
0.1%
15750 2
0.1%
16000 21
1.1%
16250 2
0.1%
16500 1
0.1%
16600 1
0.1%
16800 1
0.1%
16900 1
0.1%
17000 10
0.5%
17600 1
0.1%
18000 63
3.3%
18600 1
0.1%
18700 1
0.1%
18900 9
0.5%
19000 4
0.2%
19500 6
0.3%
19800 2
0.1%
20000 72
3.8%
21000 4
0.2%
22000 4
0.2%
22050 2
0.1%
22750 2
0.1%
23000 8
0.4%
24000 39
2%
24500 1
0.1%
25000 28
1.5%
26000 10
0.5%
27000 1
0.1%
28000 2
0.1%
28350 1
0.1%
29000 1
0.1%
30000 59
3.1%
30240 1
0.1%
31000 1
0.1%
31100 1
0.1%
31500 1
0.1%
32000 1
0.1%
32500 1
0.1%
33300 1
0.1%
34000 1
0.1%
35000 24
1.3%
35200 1
0.1%
36000 10
0.5%
37800 1
0.1%
38000 2
0.1%
39000 1
0.1%
40000 16
0.8%
42000 3
0.2%
45000 4
0.2%
48000 2
0.1%
50000 7
0.4%
52000 1
0.1%
60000 13
0.7%
65000 1
0.1%
66000 2
0.1%
67100 1
0.1%
70000 2
0.1%
75000 2
0.1%
78000 1
0.1%
80000 4
0.2%
85000 1
0.1%
90000 3
0.2%
98000 1
0.1%
100000 2
0.1%
105000 1
0.1%
110000 1
0.1%
120000 4
0.2%
120600 1
0.1%
124000 1
0.1%
130000 1
0.1%
140000 1
0.1%
150000 3
0.2%
155000 1
0.1%
210000 1
0.1%
240000 1
0.1%
250000 3
0.2%
300000 1
0.1%
320000 1
0.1%
400000 1
0.1%
500000 1
0.1%
600000 1
0.1%
650000 1
0.1%
1500000 1
0.1%
Sysmiss 3113
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.
Interviewer instructions
IF MORE THAN ONE, ASK FOR THE TOTAL VALUE OF ALL ITEMS
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