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    Home / Central Data Catalog / SWZ_2009_HIES_V01_M / variable [F41]
central

Household Income and Expenditure Survey 2009-2010

Kingdom of Eswatini, 2009 - 2010
Reference ID
SWZ_2009_HIES_v01_M
Producer(s)
Central Statistical Office
Metadata
DDI/XML JSON
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
65782
Downloads
3705
  • Study Description
  • Data Dictionary
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  • Data files
  • aggpov_annual
  • aggpov_educ
  • aggpov_food
  • aggpov_food_own
  • aggpov_food_received
  • aggpov_health
  • aggpov_monthly
  • aggpov_nfood
  • aggpov_nfood_own
  • aggpov_nfood_received
  • aggpov_rent
  • exp_annual
  • exp_educ
  • exp_food
  • exp_food_own
  • exp_food_received
  • exp_health
  • exp_monthly
  • exp_nfood
  • exp_nfood_own
  • exp_nfood_received
  • exp_rent
  • R000_Identification
  • R1_Individual
  • R2_Dwelling
  • R3_Credit1
  • R3_Credit2
  • R4_Shock
  • R5_Major_exp
  • R6_Livestock
  • R7_Farm_input
  • R8_Medical_exp
  • R9_Regular_payment
  • R12_Income
  • R12_Income2
  • R13_Wage
  • R14_Wage_deduc
  • R15_Enterprises
  • R16_Purchase
  • R18_Cash
  • R19_GS_received
  • R20_GS_given
  • R21_Own_produced
  • SWZ2010_Poverty

130a "stock purchases" (bizstock)

Data file: R15_Enterprises

Overview

Valid: 877
Invalid: 2
Type: Discrete
Decimal: 0
Start: 41
End: 49
Width: 9
Range: -
Format:

Questions and instructions

Literal question
For each business, on average how much do you spend each month on stock purchases ?
Categories
Value Category
0
10
15
16
20
25
28
30
34
35
36
40
45
47
48
50
55
56
57
60
62
64
65
66
68
70
71
75
78
80
81
82
85
90
96
98
100
104
108
112
120
123
130
132
135
136
137
140
146
150
151
160
163
168
170
175
176
180
184
196
198
200
206
220
224
230
240
246
250
259
260
268
280
290
300
314
320
328
340
350
360
400
420
430
440
450
460
470
475
480
490
500
520
530
540
544
550
552
560
590
600
640
650
679
693
700
750
800
830
850
900
904
910
932
960
1000
1010
1027
1100
1152
1186
1200
1250
1300
1400
1500
1550
1560
1600
1650
1670
1700
1800
1900
1945
2000
2033
2036
2050
2100
2145
2200
2300
2310
2400
2500
2600
2675
2700
2800
3000
3200
3500
3600
3750
3890
3901
4000
4800
4875
5000
5720
5780
6000
6480
6500
7000
8000
8100
9000
10000
12000
13500
15000
18000
19000
20000
24000
25000
26000
30000
35000
40000
44800
50000
52000
60000
400000
500000
999999997 refused to answer
999999998 don't know
1000001 .K
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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