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
Amount paid for the item in the last 12 months? (s10c1q6)
Data file: Section10C_Enterprise1_Assets
Overview
Valid:
296
Invalid:
9127
Minimum:
0
Maximum:
600000000
Type:
Discrete
Decimal:
0
Start:
71
End:
79
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
How much did the enterprise pay for the [……] That was purchased during the last 12 months?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1000 | |
| 3000 | |
| 3500 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 38000 | |
| 38500 | |
| 40000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 55000 | |
| 60000 | |
| 64000 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 75000 | |
| 80000 | |
| 86000 | |
| 90000 | |
| 100000 | |
| 106000 | |
| 112000 | |
| 116000 | |
| 119000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 150000 | |
| 185000 | |
| 200000 | |
| 210000 | |
| 220000 | |
| 240000 | |
| 250000 | |
| 290000 | |
| 300000 | |
| 350000 | |
| 400000 | |
| 450000 | |
| 475000 | |
| 500000 | |
| 600000 | |
| 750000 | |
| 790000 | |
| 800000 | |
| 850000 | |
| 950000 | |
| 1000000 | |
| 1200000 | |
| 1750000 | |
| 2500000 | |
| 3000000 | |
| 3500000 | |
| 4000000 | |
| 10000000 | |
| 20000000 | |
| 45000000 | |
| 600000000 | |
| 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.