Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get MicrodataCreated on
Apr 12, 2012
Last modified
Mar 29, 2019
Page views
310356
Downloads
7985
- 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
Value of stocks (s10e10)
Data file: Section10E_Enterprise_Income use
Overview
Valid:
903
Invalid:
740
Minimum:
100
Maximum:
3500000
Type:
Discrete
Decimal:
0
Start:
54
End:
60
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
What is the correct value of all unsold goods?
Categories
| Value | Category |
|---|---|
| 100 | |
| 150 | |
| 180 | |
| 200 | |
| 250 | |
| 300 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 650 | |
| 690 | |
| 700 | |
| 800 | |
| 870 | |
| 900 | |
| 980 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1380 | |
| 1400 | |
| 1500 | |
| 1530 | |
| 1580 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2780 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 3860 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5500 | |
| 5800 | |
| 6000 | |
| 6100 | |
| 6500 | |
| 7000 | |
| 7100 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 10600 | |
| 11000 | |
| 11200 | |
| 11300 | |
| 11500 | |
| 11600 | |
| 11800 | |
| 12000 | |
| 12200 | |
| 12500 | |
| 12600 | |
| 12900 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 14600 | |
| 15000 | |
| 15500 | |
| 15800 | |
| 16000 | |
| 16200 | |
| 16500 | |
| 16950 | |
| 17000 | |
| 17500 | |
| 17900 | |
| 18000 | |
| 18500 | |
| 18700 | |
| 19000 | |
| 19500 | |
| 19600 | |
| 20000 | |
| 20500 | |
| 21500 | |
| 21600 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 25600 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28500 | |
| 29600 | |
| 30000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37620 | |
| 40000 | |
| 42300 | |
| 45000 | |
| 47500 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 55000 | |
| 56000 | |
| 60000 | |
| 65000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 120000 | |
| 130000 | |
| 135000 | |
| 150000 | |
| 175000 | |
| 180000 | |
| 200000 | |
| 235000 | |
| 250000 | |
| 300000 | |
| 350000 | |
| 360000 | |
| 400000 | |
| 450000 | |
| 475000 | |
| 600000 | |
| 650000 | |
| 1050000 | |
| 1800000 | |
| 3500000 | |
| 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.