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    Home / Central Data Catalog / UGA_2012_UNHS_V01_M / variable [F4]
central

National Household Survey 2012-2013

Uganda, 2012 - 2013
Reference ID
UGA_2012_UNHS_v01_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
236212
Downloads
48006
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Data files
  • GSEC2
  • GSEC1cln
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6a
  • GSEC6b
  • GSEC6c
  • GSEC6d
  • GSEC6e
  • GSEC7
  • GSEC8
  • GSEC9cln
  • GSEC10
  • GSEC11
  • GSEC12
  • GSEC13
  • Poverty2012
  • section1
  • section4k
  • section5a
  • section5b
  • section5c
  • section5d
  • section5e
  • section4j
  • section2a
  • section2b
  • section2c
  • section2d
  • section3
  • section4a
  • section4b
  • section4c
  • section4d
  • section4e
  • section4f
  • section4g
  • section4h
  • section4i
  • section5f
  • section5g
  • section5h
  • section6a
  • section6b
  • section6c
  • section6d
  • section6e
  • section6f
  • section6g
  • section7a
  • section7b
  • section7c
  • Labour Module
  • LABOURSEC1

Books and school supplies (e20d)

Data file: GSEC4

Overview

Valid: 11847
Invalid: 21417
Minimum: 0
Maximum: 1400000
Type: Discrete
Decimal: 0
Start: 77
End: 83
Width: 7
Range: -
Format:

Questions and instructions

Literal question
How much has your household spent during the past 12 months on [NAME’S] schooling?
Categories
Value Category
0
10
200
300
350
400
450
500
600
650
700
750
800
900
1000
1050
1100
1200
1300
1400
1500
1550
1600
1700
1800
1900
2000
2100
2200
2250
2300
2400
2500
2600
2650
2700
2800
2850
2900
3000
3100
3150
3200
3250
3300
3400
3500
3600
3700
3800
3900
4000
4100
4200
4400
4500
4600
4650
4700
4800
4900
5000
5100
5200
5250
5400
5500
5600
5700
5800
5850
5900
6000
6100
6150
6200
6300
6400
6450
6500
6600
6700
6750
6800
6900
6950
7000
7050
7100
7200
7300
7350
7400
7500
7600
7650
7700
7800
7900
8000
8001
8006
8100
8200
8250
8300
8400
8500
8550
8600
8700
8800
8850
8900
9000
9006
9100
9200
9300
9400
9450
9500
9600
9700
9800
9900
10000
10006
10100
10200
10250
10300
10400
10500
10600
10700
10800
10900
11000
11100
11150
11200
11300
11400
11500
11600
11700
11800
12000
12006
12100
12200
12250
12300
12350
12400
12500
12600
12750
12800
12900
13000
13050
13200
13300
13400
13500
13600
13700
13800
14000
14100
14200
14400
14500
14600
14700
14800
14900
15000
15006
15150
15200
15300
15500
15600
15750
15800
15900
16000
16200
16300
16400
16500
16600
16800
16900
16950
17000
17100
17200
17300
17400
17500
17600
17700
17800
17900
18000
18300
18400
18500
18600
18750
18800
18900
19000
19050
19100
19200
19400
19500
19800
20000
20100
20200
20400
20500
20600
20700
20800
20900
21000
21200
21300
21400
21500
21600
21900
22000
22200
22300
22400
22500
22600
22700
22800
23000
23100
23200
23300
23400
23600
23700
23800
23900
24000
24200
24300
24400
24500
24600
24800
24900
25000
25200
25300
25500
25600
25800
25900
26000
26100
26200
26400
26500
26600
26700
26800
26850
26900
27000
27100
27200
27300
27400
27500
27600
27900
28000
28100
28200
28300
28500
28800
29000
29100
29200
29400
29500
30000
30006
30100
30300
30400
30500
30600
30900
31000
31200
31500
31600
31800
32000
32400
32500
32700
32800
33000
33300
33500
33600
33900
34000
34200
34300
34500
34550
34600
34800
34900
35000
35100
35400
35500
36000
36300
36700
37000
37200
37500
37600
37800
38000
38300
38400
38700
38800
39000
39100
39200
39500
39600
39900
40000
40500
41000
41400
41700
41850
42000
42300
42400
42500
42800
43000
43200
43400
43500
43800
44000
44400
45000
45500
46000
46200
46500
46600
46800
47000
47100
47200
47400
47500
47700
48000
48200
48300
48400
48500
48800
48900
49000
49500
49600
49800
50000
50100
50200
50400
51000
51500
51800
52000
52500
52800
53000
53400
53500
53700
54000
55000
55200
55500
55800
56000
56100
57000
57300
57600
57900
58000
58500
59000
59500
60000
60200
60700
61000
61200
61500
62000
63000
63600
64200
64500
64800
65000
65300
66000
66600
67000
67500
68000
68400
68500
69000
69600
70000
70500
72000
72100
73000
74400
75000
76000
76200
76500
76600
77700
78000
79000
79500
80000
80700
81000
82000
82400
82500
82600
84000
85000
86000
86100
87500
87800
88000
88400
88500
88800
89000
90000
90600
92000
92300
93000
93600
94800
96000
96600
97000
97500
98800
99000
99600
100000
100500
101100
102000
102300
102500
103500
104400
105000
106500
108000
110000
110400
111000
112000
112500
113000
115000
116000
116400
117000
118800
120000
120200
121800
123000
123600
124200
125000
125200
126000
127000
128400
129000
130000
132000
135000
138000
139500
139800
140000
140200
142200
144000
144500
147000
147500
148000
150000
152000
156000
159000
160000
160500
165000
168000
170000
180000
181000
188000
188200
189000
190000
190200
192000
194700
195000
199500
200000
210000
216000
220000
222900
223200
225000
230000
237000
240000
241500
246000
250000
280000
280500
285000
300000
320000
325000
335400
339000
340000
360000
375000
390000
400000
410000
448000
450000
500000
535500
570000
600000
630000
750000
800000
829500
900000
1000000
1050000
1400000
Sysmiss
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 nothing was spent, write 0. If the respondent can only give a total amount,leave the rest of the columns Blank and write the total in column E20g
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