Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get Microdata
Reference ID
SLE_2003_IHS_v01_M
Producer(s)
Statistics Sierra Leone (SSL)
Metadata
Created on
Dec 11, 2017
Last modified
Dec 11, 2017
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325701
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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
Sell value of item 3 (s10c1q2c)
Data file: Section10C_Enterprise1_Assets
Overview
Valid:
150
Invalid:
9273
Minimum:
700
Maximum:
10000000
Type:
Discrete
Decimal:
0
Start:
29
End:
36
Width:
8
Range:
700 - 10000000
Format:
Numeric
Questions and instructions
Literal question
For how much would you be able to sell [……] today - item 3?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 700 | 1 |
0.7%
|
|
| 1000 | 4 |
2.7%
|
|
| 2000 | 5 |
3.3%
|
|
| 2500 | 1 |
0.7%
|
|
| 3000 | 6 |
4%
|
|
| 3500 | 2 |
1.3%
|
|
| 4000 | 8 |
5.3%
|
|
| 5000 | 7 |
4.7%
|
|
| 6000 | 3 |
2%
|
|
| 7000 | 6 |
4%
|
|
| 8000 | 3 |
2%
|
|
| 9000 | 1 |
0.7%
|
|
| 10000 | 14 |
9.3%
|
|
| 11000 | 1 |
0.7%
|
|
| 12000 | 9 |
6%
|
|
| 14000 | 1 |
0.7%
|
|
| 15000 | 9 |
6%
|
|
| 16000 | 1 |
0.7%
|
|
| 17500 | 1 |
0.7%
|
|
| 20000 | 10 |
6.7%
|
|
| 24000 | 2 |
1.3%
|
|
| 25000 | 5 |
3.3%
|
|
| 29000 | 1 |
0.7%
|
|
| 38000 | 1 |
0.7%
|
|
| 40000 | 2 |
1.3%
|
|
| 45000 | 4 |
2.7%
|
|
| 50000 | 6 |
4%
|
|
| 60000 | 4 |
2.7%
|
|
| 70000 | 3 |
2%
|
|
| 75000 | 3 |
2%
|
|
| 80000 | 1 |
0.7%
|
|
| 100000 | 5 |
3.3%
|
|
| 120000 | 1 |
0.7%
|
|
| 150000 | 2 |
1.3%
|
|
| 170000 | 1 |
0.7%
|
|
| 250000 | 4 |
2.7%
|
|
| 260000 | 1 |
0.7%
|
|
| 400000 | 3 |
2%
|
|
| 500000 | 2 |
1.3%
|
|
| 700000 | 1 |
0.7%
|
|
| 900000 | 1 |
0.7%
|
|
| 1700000 | 1 |
0.7%
|
|
| 4000000 | 1 |
0.7%
|
|
| 6500000 | 1 |
0.7%
|
|
| 10000000 | 1 |
0.7%
|
|
| Sysmiss | 9273 |
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.