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    Home / Central Data Catalog / PHL_2003_KALAHI_V01_M / variable [F9]
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KALAHI-CIDSS Impact Evaluation 2003-2010

Philippines, 2003 - 2010
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Reference ID
PHL_2003_KALAHI_v01_M
Producer(s)
Robert S. Chase, Julien Labonne
Metadata
DDI/XML JSON
Created on
Jul 10, 2013
Last modified
Mar 29, 2019
Page views
60087
Downloads
1457
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  • Data files
  • clean_panelbar
  • clean_panelbdev
  • clean_panelbmne
  • clean_panelborg
  • clean_panelcmkt
  • clean_panelcrop
  • clean_panelfish
  • clean_panelfsmkt
  • clean_panelhh
  • clean_panelmem
  • clean_panelmkt
  • clean_panelpr

house maintenance and repair - disbursed (d124a)

Data file: clean_panelhh

Overview

Valid: 6402
Invalid: 0
Type: Discrete
Decimal: 0
Start: 459
End: 464
Width: 6
Range: -
Format:

Questions and instructions

Literal question
During the PAST MONTH, how much was monthly expenses/consumption on the following (Includes all expenses/consumption whether purchased/paid for in cash/on credit, received as gifts or own-produced)
TOTAL DISBURSED In PhP
Categories
Value Category
0
5
10
10.5
12
15
16
20
24
25
26
28
30
35
40
45
49
50
51
55
56
60
64
65
70
75
76
80
83
86
90
95
96
100
105
115
120
125
130
131.803482055664
140
149
150
160
169
170
175
180
189
195
200
207
210
230
235
240
245
250
260
263.606964111328
270
274
275
276
280
285
300
312
340
350
360
370
395
400
405
420
439.344909667969
450
460
465
470
475
480
500
510
520
525
527.213928222656
530
545
550
560
570
580
590
597
600
640
650
700
720
730
750
770
800
840
850
860
878.689819335938
900
950
960
970
975
980
990
1000
1012
1050
1090
1100
1150
1160
1200
1215
1300
1318.03479003906
1350
1400
1440
1500
1570
1580
1600
1630
1635
1680
1700
1750
1757.37963867188
1800
1900
2000
2001
2200
2500
2600
2636.06958007812
2700
2800
2904
3000
3050
3200
3500
3514.75927734375
3640
4000
4100
4105
4320
4393.44921875
4500
4800
5000
5100
5140
5270
5400
5500
5665
6000
6150.8291015625
7000
7500
7703
8000
8710
8786.8984375
9000
9400
9700
10000
12000
13000
13180.34765625
13350
14000
15000
16000
17000
18000
20000
22000
24000
25000
26000
28000
30000
30754.14453125
36000
40000
50000
70000
100000
150000
350000
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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