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    Home / Central Data Catalog / SLE_2003_IHS_V01_M / variable [V930]
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
289216
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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

Self-help contributions (s11dq2)

Data file: Section11C_Miscellaneous

Overview

Valid: 3172
Invalid: 0
Minimum: 0
Maximum: 3000000
Type: Discrete
Decimal: 0
Start: 174
End: 180
Width: 7
Range: 0 - 3000000
Format: Numeric

Questions and instructions

Literal question
During the past 12 months, how much income in cash or kind, did the household receive from the following sources - self-help contributions?
Categories
Value Category Cases
0 1602
50.5%
400 1
0%
500 22
0.7%
600 1
0%
800 1
0%
1000 62
2%
1200 1
0%
1250 1
0%
1500 29
0.9%
1600 1
0%
1750 1
0%
2000 136
4.3%
2400 3
0.1%
2500 25
0.8%
2750 2
0.1%
2800 2
0.1%
2900 1
0%
3000 61
1.9%
3200 1
0%
3500 17
0.5%
3800 1
0%
4000 66
2.1%
4200 1
0%
4300 1
0%
4500 2
0.1%
4800 1
0%
5000 197
6.2%
5400 1
0%
5500 5
0.2%
6000 50
1.6%
6333 1
0%
6500 2
0.1%
6800 1
0%
7000 21
0.7%
7420 1
0%
7500 2
0.1%
8000 31
1%
8280 1
0%
9000 8
0.3%
9500 1
0%
10000 237
7.5%
10500 3
0.1%
11000 5
0.2%
11100 1
0%
12000 37
1.2%
12500 4
0.1%
12600 1
0%
13000 1
0%
14000 15
0.5%
15000 110
3.5%
16000 10
0.3%
16500 2
0.1%
17000 3
0.1%
17500 1
0%
18000 6
0.2%
20000 107
3.4%
21000 1
0%
21500 1
0%
22000 3
0.1%
23000 2
0.1%
24000 16
0.5%
24600 1
0%
24800 1
0%
25000 37
1.2%
26000 3
0.1%
26400 1
0%
26800 1
0%
28000 1
0%
29000 1
0%
30000 33
1%
34000 1
0%
35000 13
0.4%
36000 3
0.1%
37000 1
0%
38000 1
0%
38840 1
0%
39000 1
0%
40000 24
0.8%
42000 1
0%
45000 7
0.2%
46400 1
0%
48000 1
0%
50000 30
0.9%
51000 1
0%
54000 2
0.1%
55000 2
0.1%
59000 1
0%
60000 7
0.2%
65000 2
0.1%
70000 1
0%
72000 1
0%
75000 1
0%
76000 1
0%
80000 5
0.2%
85000 1
0%
92000 1
0%
100000 17
0.5%
104000 1
0%
110000 1
0%
120000 2
0.1%
140000 1
0%
150000 5
0.2%
200000 8
0.3%
250000 8
0.3%
252000 1
0%
300000 4
0.1%
400000 1
0%
600000 2
0.1%
3000000 1
0%
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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