Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get Microdata
Reference ID
SLE_2003-2004_IHS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics Sierra Leone (SSL)
Collections
Metadata
Created on
Sep 25, 2020
Last modified
Nov 08, 2022
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- 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
Osusu (s11cq20)
Data file: Section11C_Miscellaneous
Overview
Valid:
3172
Invalid:
0
Minimum:
0
Maximum:
40000000
Type:
Discrete
Decimal:
0
Start:
134
End:
141
Width:
8
Range:
0 - 40000000
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 - osusu?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2746 |
86.6%
|
|
| 1000 | 2 |
0.1%
|
|
| 2000 | 1 |
0%
|
|
| 4000 | 1 |
0%
|
|
| 4100 | 1 |
0%
|
|
| 5000 | 5 |
0.2%
|
|
| 6000 | 3 |
0.1%
|
|
| 8000 | 2 |
0.1%
|
|
| 10000 | 16 |
0.5%
|
|
| 11000 | 1 |
0%
|
|
| 12000 | 9 |
0.3%
|
|
| 14000 | 3 |
0.1%
|
|
| 15000 | 5 |
0.2%
|
|
| 16000 | 5 |
0.2%
|
|
| 18000 | 4 |
0.1%
|
|
| 20000 | 33 |
1%
|
|
| 23000 | 1 |
0%
|
|
| 24000 | 3 |
0.1%
|
|
| 25000 | 6 |
0.2%
|
|
| 26000 | 2 |
0.1%
|
|
| 27000 | 1 |
0%
|
|
| 28000 | 4 |
0.1%
|
|
| 30000 | 16 |
0.5%
|
|
| 34000 | 2 |
0.1%
|
|
| 35000 | 1 |
0%
|
|
| 36000 | 2 |
0.1%
|
|
| 40000 | 22 |
0.7%
|
|
| 41000 | 1 |
0%
|
|
| 44000 | 1 |
0%
|
|
| 45000 | 1 |
0%
|
|
| 48000 | 2 |
0.1%
|
|
| 50000 | 24 |
0.8%
|
|
| 52000 | 1 |
0%
|
|
| 54000 | 1 |
0%
|
|
| 55000 | 2 |
0.1%
|
|
| 60000 | 15 |
0.5%
|
|
| 62000 | 2 |
0.1%
|
|
| 65000 | 1 |
0%
|
|
| 68000 | 1 |
0%
|
|
| 70000 | 9 |
0.3%
|
|
| 75000 | 4 |
0.1%
|
|
| 78000 | 1 |
0%
|
|
| 80000 | 7 |
0.2%
|
|
| 85000 | 1 |
0%
|
|
| 90000 | 4 |
0.1%
|
|
| 95000 | 1 |
0%
|
|
| 100000 | 27 |
0.9%
|
|
| 104000 | 1 |
0%
|
|
| 114000 | 1 |
0%
|
|
| 120000 | 10 |
0.3%
|
|
| 125000 | 2 |
0.1%
|
|
| 130000 | 1 |
0%
|
|
| 135000 | 1 |
0%
|
|
| 140000 | 6 |
0.2%
|
|
| 144000 | 2 |
0.1%
|
|
| 150000 | 29 |
0.9%
|
|
| 156000 | 1 |
0%
|
|
| 160000 | 3 |
0.1%
|
|
| 170000 | 4 |
0.1%
|
|
| 175000 | 1 |
0%
|
|
| 180000 | 1 |
0%
|
|
| 190000 | 2 |
0.1%
|
|
| 200000 | 32 |
1%
|
|
| 210000 | 2 |
0.1%
|
|
| 220000 | 1 |
0%
|
|
| 240000 | 2 |
0.1%
|
|
| 250000 | 9 |
0.3%
|
|
| 275000 | 1 |
0%
|
|
| 290000 | 1 |
0%
|
|
| 300000 | 12 |
0.4%
|
|
| 350000 | 4 |
0.1%
|
|
| 360000 | 5 |
0.2%
|
|
| 390000 | 1 |
0%
|
|
| 400000 | 6 |
0.2%
|
|
| 416000 | 1 |
0%
|
|
| 440000 | 1 |
0%
|
|
| 450000 | 2 |
0.1%
|
|
| 500000 | 5 |
0.2%
|
|
| 600000 | 2 |
0.1%
|
|
| 620000 | 1 |
0%
|
|
| 700000 | 1 |
0%
|
|
| 720000 | 2 |
0.1%
|
|
| 800000 | 2 |
0.1%
|
|
| 950000 | 1 |
0%
|
|
| 1000000 | 2 |
0.1%
|
|
| 1095000 | 1 |
0%
|
|
| 1360000 | 1 |
0%
|
|
| 1600000 | 1 |
0%
|
|
| 1800000 | 2 |
0.1%
|
|
| 2400000 | 1 |
0%
|
|
| 2520000 | 1 |
0%
|
|
| 40000000 | 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.