Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get MicrodataCreated on
Apr 12, 2012
Last modified
Mar 29, 2019
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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
Market value (s8aq35)
Data file: Section8A3_AgEquipment
Overview
Valid:
8158
Invalid:
23324
Minimum:
500
Maximum:
1500000
Type:
Discrete
Decimal:
0
Start:
15
End:
21
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
What would be the value if it were to be sold now?
Categories
| Value | Category |
|---|---|
| 500 | |
| 600 | |
| 800 | |
| 1000 | |
| 1400 | |
| 1500 | |
| 2000 | |
| 2100 | |
| 2400 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 5000 | |
| 5250 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 8000 | |
| 8222 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 23600 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30500 | |
| 31000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 34500 | |
| 35000 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 42500 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 62000 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 73500 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 80500 | |
| 84000 | |
| 86000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 102500 | |
| 105000 | |
| 110000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 135000 | |
| 138000 | |
| 140000 | |
| 144000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 178000 | |
| 180000 | |
| 200000 | |
| 260000 | |
| 300000 | |
| 307500 | |
| 320000 | |
| 400000 | |
| 420000 | |
| 502500 | |
| 603000 | |
| 1002500 | |
| 1500000 | |
| Sysmiss |
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.