Integrated Household Survey 2003-2004
Sierra Leone, 2003 - 2004
Get Microdata
Reference ID
SLE_2003-2004_IHS_v01_EN_M_v01_A_OCS
Producer(s)
Statistics Sierra Leone (SSL)
Collections
Metadata
Created on
Sep 25, 2020
Last modified
Nov 08, 2022
Page views
92162
Downloads
336
- 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
How much for enterprise savings? (s10e6a)
Data file: Section10E_Enterprise_Income use
Overview
Valid:
1643
Invalid:
0
Minimum:
0
Maximum:
1300000
Type:
Discrete
Decimal:
0
Start:
35
End:
41
Width:
7
Range:
0 - 1300000
Format:
Numeric
Questions and instructions
Literal question
What is the amount - amount?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 411 |
25%
|
|
| 4 | 1 |
0.1%
|
|
| 60 | 1 |
0.1%
|
|
| 200 | 1 |
0.1%
|
|
| 300 | 2 |
0.1%
|
|
| 400 | 1 |
0.1%
|
|
| 500 | 8 |
0.5%
|
|
| 800 | 2 |
0.1%
|
|
| 1000 | 57 |
3.5%
|
|
| 1500 | 6 |
0.4%
|
|
| 2000 | 85 |
5.2%
|
|
| 2500 | 5 |
0.3%
|
|
| 3000 | 46 |
2.8%
|
|
| 3500 | 4 |
0.2%
|
|
| 4000 | 28 |
1.7%
|
|
| 5000 | 124 |
7.5%
|
|
| 6000 | 13 |
0.8%
|
|
| 7000 | 8 |
0.5%
|
|
| 7500 | 1 |
0.1%
|
|
| 8000 | 8 |
0.5%
|
|
| 9000 | 2 |
0.1%
|
|
| 10000 | 170 |
10.3%
|
|
| 11000 | 1 |
0.1%
|
|
| 12000 | 11 |
0.7%
|
|
| 13000 | 3 |
0.2%
|
|
| 14000 | 2 |
0.1%
|
|
| 15000 | 36 |
2.2%
|
|
| 18000 | 2 |
0.1%
|
|
| 19000 | 1 |
0.1%
|
|
| 20000 | 128 |
7.8%
|
|
| 22000 | 2 |
0.1%
|
|
| 23000 | 1 |
0.1%
|
|
| 25000 | 26 |
1.6%
|
|
| 26000 | 1 |
0.1%
|
|
| 27000 | 1 |
0.1%
|
|
| 28000 | 1 |
0.1%
|
|
| 30000 | 69 |
4.2%
|
|
| 35000 | 2 |
0.1%
|
|
| 40000 | 38 |
2.3%
|
|
| 43000 | 1 |
0.1%
|
|
| 44000 | 1 |
0.1%
|
|
| 45000 | 4 |
0.2%
|
|
| 47000 | 1 |
0.1%
|
|
| 48000 | 1 |
0.1%
|
|
| 49000 | 1 |
0.1%
|
|
| 50000 | 102 |
6.2%
|
|
| 55000 | 3 |
0.2%
|
|
| 56000 | 1 |
0.1%
|
|
| 58000 | 1 |
0.1%
|
|
| 60000 | 22 |
1.3%
|
|
| 65000 | 3 |
0.2%
|
|
| 70000 | 9 |
0.5%
|
|
| 75000 | 3 |
0.2%
|
|
| 80000 | 13 |
0.8%
|
|
| 85000 | 1 |
0.1%
|
|
| 90000 | 6 |
0.4%
|
|
| 98000 | 1 |
0.1%
|
|
| 100000 | 67 |
4.1%
|
|
| 110000 | 1 |
0.1%
|
|
| 120000 | 6 |
0.4%
|
|
| 125000 | 1 |
0.1%
|
|
| 126000 | 1 |
0.1%
|
|
| 128000 | 1 |
0.1%
|
|
| 130000 | 1 |
0.1%
|
|
| 140000 | 1 |
0.1%
|
|
| 144000 | 1 |
0.1%
|
|
| 145000 | 1 |
0.1%
|
|
| 150000 | 24 |
1.5%
|
|
| 160000 | 1 |
0.1%
|
|
| 180000 | 1 |
0.1%
|
|
| 200000 | 17 |
1%
|
|
| 250000 | 4 |
0.2%
|
|
| 260000 | 1 |
0.1%
|
|
| 300000 | 9 |
0.5%
|
|
| 400000 | 4 |
0.2%
|
|
| 425000 | 1 |
0.1%
|
|
| 500000 | 7 |
0.4%
|
|
| 600000 | 2 |
0.1%
|
|
| 800000 | 3 |
0.2%
|
|
| 1000000 | 3 |
0.2%
|
|
| 1100000 | 1 |
0.1%
|
|
| 1300000 | 1 |
0.1%
|
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.