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
Money received in last 2 weeks from sales? (s10dq1)
Data file: Section10D_Enterprise_Income
Overview
Valid:
1498
Invalid:
145
Minimum:
0
Maximum:
860000000
Type:
Discrete
Decimal:
0
Start:
10
End:
18
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
Since the last 2 weeks how much money was received from the sale of goods and services by this enterprises?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1000 | |
| 1500 | |
| 1850 | |
| 2000 | |
| 2800 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 16800 | |
| 17000 | |
| 18000 | |
| 18450 | |
| 18800 | |
| 20000 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 22500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29500 | |
| 30000 | |
| 32000 | |
| 32850 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 37900 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 49000 | |
| 49609 | |
| 50000 | |
| 52000 | |
| 53333 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 60662 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 65834 | |
| 66000 | |
| 67000 | |
| 68000 | |
| 68500 | |
| 69500 | |
| 70000 | |
| 70833 | |
| 72000 | |
| 75000 | |
| 76000 | |
| 78400 | |
| 78600 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 87500 | |
| 90000 | |
| 92500 | |
| 95000 | |
| 96000 | |
| 96540 | |
| 98000 | |
| 98425 | |
| 100000 | |
| 102000 | |
| 104500 | |
| 105000 | |
| 110000 | |
| 112000 | |
| 112200 | |
| 115000 | |
| 116500 | |
| 120000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 130000 | |
| 132930 | |
| 133000 | |
| 135000 | |
| 136000 | |
| 140000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 152000 | |
| 153000 | |
| 155000 | |
| 156000 | |
| 157400 | |
| 160000 | |
| 164000 | |
| 165000 | |
| 166000 | |
| 168000 | |
| 168470 | |
| 170000 | |
| 172000 | |
| 175000 | |
| 178000 | |
| 180000 | |
| 184000 | |
| 186000 | |
| 190000 | |
| 200000 | |
| 201000 | |
| 205000 | |
| 210000 | |
| 215000 | |
| 216000 | |
| 220000 | |
| 221500 | |
| 224000 | |
| 225000 | |
| 230000 | |
| 235000 | |
| 238000 | |
| 240000 | |
| 245000 | |
| 248000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 268000 | |
| 270000 | |
| 276000 | |
| 280000 | |
| 284000 | |
| 288000 | |
| 290000 | |
| 300000 | |
| 322000 | |
| 325000 | |
| 340000 | |
| 348000 | |
| 350000 | |
| 355000 | |
| 360000 | |
| 370000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 405000 | |
| 410000 | |
| 417000 | |
| 420000 | |
| 430000 | |
| 440000 | |
| 442000 | |
| 450000 | |
| 470000 | |
| 480000 | |
| 490000 | |
| 495000 | |
| 496000 | |
| 500000 | |
| 518000 | |
| 520000 | |
| 540000 | |
| 550000 | |
| 560000 | |
| 595000 | |
| 600000 | |
| 650000 | |
| 665000 | |
| 680000 | |
| 700000 | |
| 720000 | |
| 760000 | |
| 780000 | |
| 800000 | |
| 830000 | |
| 840000 | |
| 900000 | |
| 950000 | |
| 960000 | |
| 970000 | |
| 1000000 | |
| 1040000 | |
| 1090000 | |
| 1100000 | |
| 1200000 | |
| 1215000 | |
| 1260000 | |
| 1300000 | |
| 1400000 | |
| 1500000 | |
| 1550000 | |
| 1600000 | |
| 1632000 | |
| 1850000 | |
| 2000000 | |
| 2033000 | |
| 2800000 | |
| 3000000 | |
| 3225000 | |
| 3400000 | |
| 3500000 | |
| 3830000 | |
| 4970000 | |
| 5000000 | |
| 12000000 | |
| 20000000 | |
| 68307700 | |
| 100000000 | |
| 150000000 | |
| 160000000 | |
| 185000000 | |
| 200000000 | |
| 400000000 | |
| 500000000 | |
| 600000000 | |
| 800000000 | |
| 860000000 | |
| 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.