Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
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Reference ID
SLE_2003-2004_IHS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics Sierra Leone (SSL)
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Metadata
Created on
Sep 25, 2020
Last modified
Nov 08, 2022
Page views
92560
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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
District (district)
Data file: Section11BA_TransfersOUT
Overview
Valid:
5952
Invalid:
0
Minimum:
1
Maximum:
32
Type:
Discrete
Decimal:
0
Start:
2
End:
3
Width:
2
Range:
1 - 32
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Bo | 251 |
4.2%
|
| 2 | Bonthe | 459 |
7.7%
|
| 3 | Moyamba | 1149 |
19.3%
|
| 4 | Pujehun | 112 |
1.9%
|
| 11 | Kailahun | 272 |
4.6%
|
| 12 | Kenema | 1095 |
18.4%
|
| 13 | Kono | 278 |
4.7%
|
| 21 | Bombali | 315 |
5.3%
|
| 22 | Kambia | 432 |
7.3%
|
| 23 | Koinadugu | 145 |
2.4%
|
| 24 | Porto Loko | 732 |
12.3%
|
| 25 | Tonkolili | 417 |
7%
|
| 31 | Freetown | 267 |
4.5%
|
| 32 | Western Other | 28 |
0.5%
|
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.