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    Home / Central Data Catalog / SLE_2003_IHS_V01_M / variable [V843]
central

Integrated Household Survey 2003-2004

Sierra Leone, 2003 - 2004
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Reference ID
SLE_2003_IHS_v01_M
Producer(s)
Statistics Sierra Leone (SSL)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 11, 2017
Last modified
Dec 11, 2017
Page views
289594
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Section7_Housing
  • Section8E_FarmProcessed
  • Section8A1_Agriculture
  • Expenditure
  • Section1_HouseholdRoster
  • Section2_Education
  • Section3_Health
  • Section4_Occupation
  • Section5_Migration
  • Section7b_Anthropometric
  • Section8H_OwnConsumption
  • Section9A1_NonFood_Infrequent
  • Section9A2_NonFood_Frequent
  • Section9B_FoodPurchases
  • Section8A3_AgEquipment
  • Section8B1_PlotDetails
  • Section8D_Season
  • Section8F_Inputs
  • Section8G_Process
  • Section8A2_Livestock
  • Section10B_Enterprise1_Expenditure
  • Section10B_Enterprise2_Expenditure
  • Section10C_Enterprise1_Assets
  • Section10C_Enterprise2_Assets
  • Section10D_Enterprise_Income
  • Section10E_Enterprise_Income
    use
  • Section11BA_TransfersOUT
  • Section11BB_TransfersIN
  • Section11C_Miscellaneous
  • Section12A_HouseholdCredits
  • Section12B_HouseholdAssets
  • Section12C_HouseholdSavings
  • Section10A_Enterprise
  • comm_agriculture
  • comm_demographics
  • comm_economics
  • comm_education
  • comm_health
  • corr ea codes
  • CPI deflator
  • cyclebudget
  • cycles
  • date_interview
  • food prices
  • no of hhs per
    ea
  • price deflators
  • weights

How much usually received by this enterprise in a 2 week period? (s10dq6)

Data file: Section10D_Enterprise_Income

Overview

Valid: 971
Invalid: 672
Minimum: 2000
Maximum: 200000000
Type: Discrete
Decimal: 0
Start: 34
End: 42
Width: 9
Range: 2000 - 200000000
Format: Numeric

Questions and instructions

Literal question
How much money is usually received by this enterprise during a 2 – week period?
Categories
Value Category Cases
2000 3
0.3%
2228 1
0.1%
3000 6
0.6%
4000 2
0.2%
4166 1
0.1%
5000 11
1.1%
5500 1
0.1%
6000 7
0.7%
7000 2
0.2%
7500 1
0.1%
8000 6
0.6%
9000 3
0.3%
10000 25
2.6%
10500 1
0.1%
11000 1
0.1%
12000 5
0.5%
12500 2
0.2%
12600 1
0.1%
13000 3
0.3%
14000 6
0.6%
15000 12
1.2%
16000 3
0.3%
17000 44
4.5%
18000 4
0.4%
18450 1
0.1%
19600 1
0.1%
20000 39
4%
21000 1
0.1%
22000 3
0.3%
22500 47
4.8%
23000 2
0.2%
24000 2
0.2%
25000 27
2.8%
26000 2
0.2%
27500 1
0.1%
28000 9
0.9%
30000 31
3.2%
32000 2
0.2%
33000 1
0.1%
34000 1
0.1%
35000 13
1.3%
36000 3
0.3%
37000 1
0.1%
37500 2
0.2%
38000 4
0.4%
40000 53
5.5%
42000 5
0.5%
45000 74
7.6%
46000 3
0.3%
46500 1
0.1%
48000 2
0.2%
49609 1
0.1%
50000 55
5.7%
55000 6
0.6%
56000 4
0.4%
57000 1
0.1%
58000 2
0.2%
60000 33
3.4%
63000 1
0.1%
64000 1
0.1%
65000 3
0.3%
67000 1
0.1%
70000 22
2.3%
75000 5
0.5%
80000 131
13.5%
84000 4
0.4%
85000 8
0.8%
85750 1
0.1%
86000 2
0.2%
90000 5
0.5%
95000 2
0.2%
96540 1
0.1%
98000 1
0.1%
100000 39
4%
102000 1
0.1%
105000 1
0.1%
108000 1
0.1%
110000 3
0.3%
110600 1
0.1%
112000 4
0.4%
120000 16
1.6%
120500 1
0.1%
125000 5
0.5%
126000 2
0.2%
128000 1
0.1%
130000 4
0.4%
134615 1
0.1%
135000 3
0.3%
140000 6
0.6%
144000 1
0.1%
146000 1
0.1%
150000 19
2%
160000 3
0.3%
165000 1
0.1%
168000 1
0.1%
170000 1
0.1%
175000 2
0.2%
180000 9
0.9%
182000 1
0.1%
183000 1
0.1%
200000 10
1%
206800 1
0.1%
210000 2
0.2%
240000 2
0.2%
250000 13
1.3%
252000 1
0.1%
280000 9
0.9%
300000 7
0.7%
308000 1
0.1%
325000 1
0.1%
350000 3
0.3%
400000 2
0.2%
420000 2
0.2%
422000 1
0.1%
480000 1
0.1%
500000 1
0.1%
600000 2
0.2%
700000 1
0.1%
800000 2
0.2%
910000 1
0.1%
1500000 1
0.1%
5000000 1
0.1%
12000000 1
0.1%
100000000 1
0.1%
115000000 1
0.1%
200000000 2
0.2%
Sysmiss 672
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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