Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get MicrodataCreated on
Apr 12, 2012
Last modified
Mar 29, 2019
Page views
339952
Downloads
8571
- 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
Ceremonial expenses (s11dq3)
Data file: Section11C_Miscellaneous
Overview
Valid:
3172
Invalid:
0
Minimum:
0
Maximum:
5000000
Type:
Discrete
Decimal:
0
Start:
181
End:
187
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
During the past 12 months, how much income in cash or kind, did the household receive from the following sources - ceremonial expenses?
Categories
| Value | Category |
|---|---|
| 0 | |
| 400 | |
| 500 | |
| 600 | |
| 1000 | |
| 1500 | |
| 1600 | |
| 2000 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3210 | |
| 3400 | |
| 3500 | |
| 3800 | |
| 4000 | |
| 4250 | |
| 4500 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8500 | |
| 8750 | |
| 9000 | |
| 9400 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 10700 | |
| 10800 | |
| 11000 | |
| 11300 | |
| 11500 | |
| 11800 | |
| 11850 | |
| 12000 | |
| 12800 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14800 | |
| 15000 | |
| 15400 | |
| 16000 | |
| 16800 | |
| 17000 | |
| 17400 | |
| 17500 | |
| 17800 | |
| 18000 | |
| 18800 | |
| 19000 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 24700 | |
| 25000 | |
| 26000 | |
| 26800 | |
| 27000 | |
| 27800 | |
| 28000 | |
| 28400 | |
| 29000 | |
| 29600 | |
| 30000 | |
| 30500 | |
| 30900 | |
| 31000 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37400 | |
| 38000 | |
| 39000 | |
| 39800 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 42500 | |
| 43000 | |
| 44000 | |
| 44600 | |
| 44650 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51000 | |
| 54000 | |
| 54900 | |
| 55000 | |
| 56000 | |
| 57500 | |
| 60000 | |
| 61000 | |
| 64000 | |
| 64400 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 73500 | |
| 75000 | |
| 76800 | |
| 80000 | |
| 85000 | |
| 88000 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 102000 | |
| 114000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 134000 | |
| 140000 | |
| 141000 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 175000 | |
| 180000 | |
| 200000 | |
| 235000 | |
| 250000 | |
| 251000 | |
| 258000 | |
| 260000 | |
| 270000 | |
| 300000 | |
| 320000 | |
| 350000 | |
| 360000 | |
| 385000 | |
| 400000 | |
| 420000 | |
| 440000 | |
| 450000 | |
| 500000 | |
| 550000 | |
| 600000 | |
| 800000 | |
| 1000000 | |
| 1300000 | |
| 1500000 | |
| 2000000 | |
| 5000000 |
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.